Top High Leverage Forex Brokers By Country + Regulator
Top High Leverage Forex Brokers By Country + Regulator
Margin Requirements – Global Market FX
How Does Margin Trading in the Forex Market Work?
Forex Margin Requirements by Broker for 2020 • Benzinga
Forex Trading On Margin Accounts - The Benefits And Risks
What’s the impact of the one-year ... - Lower trading costs
How to Calculate Margin Requirements FX Australia
Margin requirements - AM Broker
Margin & Leverage FAQs Margin Requirements FOREX.com UK
Spreads and Margin Leverage Trading Margin & Leverage ...
THROW YOUR FD's in FDS
Factset: How You can Invest in Hedge Funds’ Biggest Investment Tl;dr FactSet is the most undervalued widespread SaaS/IT solution stock that exists If any of you have relevant experience or are friends with people in Investment Banking/other high finance, you know that Factset is the lifeblood of their financial analysis toolkit if and when it’s not Bloomberg, which isn’t even publicly traded. Factset has been around since 1978 and it’s considered a staple like Bloomberg in many wealth management firms, and it offers some of the easiest to access and understandable financial data so many newer firms focused less on trading are switching to Factset because it has a lot of the same data Bloomberg offers for half the cost. When it comes to modern financial data, Factset outcompetes Reuters and arguably Bloomberg as well due to their API services which makes Factset much more preferable for quantitative divisions of banks/hedge funds as API integration with Python/R is the most important factor for vast data lakes of financial data, this suggests Factset will be much more prepared for programming making its way into traditional finance fields. According to Factset, their mission for data delivery is to: “Integrate the data you need with your applications, web portals, and statistical packages. Whether you need market, company, or alternative data, FactSet flexible data delivery services give you normalized data through APIs and a direct delivery of local copies of standard data feeds. Our unique symbology links and aggregates a variety of content sources to ensure consistency, transparency, and data integrity across your business. Build financial models and power customized applications with FactSet APIs in our developer portal”. Their technical focus for their data delivery system alone should make it stand out compared to Bloomberg, whose UI is far more outdated and complex on top of not being as technically developed as Factset’s. Factset is the key provider of buy-side portfolio analysis for IBs, Hedge funds, and Private Equity firms, and it’s making its way into non-quantitative hedge funds as well because quantitative portfolio management makes automation of risk management and the application of portfolio theory so much easier, and to top it off, Factset’s scenario analysis and simulation is unique in its class. Factset also is able to automate trades based on individual manager risk tolerance and ML optimization for Forex trading as well. Not only does Factset provide solutions for financial companies, they are branching out to all corporations now and providing quantitative analytics for them in the areas of “corporate development, M&A, strategy, treasury, financial planning and analysis, and investor relations workflows”. Factset will eventually in my opinion reach out to Insurance Risk Management a lot more in the future as that’s a huge industry which has yet to see much automation of risk management yet, and with the field wide open, Factset will be the first to take advantage without a shadow of a doubt. So let’s dig into the company’s financials now: Their latest 8k filing reported the following: Revenue increased 2.6%, or $9.6 million, to $374.1 million compared with $364.5 million for the same period in fiscal 2019. The increase is primarily due to higher sales of analytics, content and technology solutions (CTS) and wealth management solutions. Annual Subscription Value (ASV) plus professional services was $1.52 billion at May 31, 2020, compared with $1.45 billion at May 31, 2019. The organic growth rate, which excludes the effects of acquisitions, dispositions, and foreign currency movements, was 5.0%. The primary contributors to this growth rate were higher sales in FactSet's wealth and research workflow solutions and a price increase in the Company's international region Adjusted operating margin improved to 35.5% compared with 34.0% in the prior year period primarily as a result of reduced employee-related operating expenses due to the coronavirus pandemic. Diluted earnings per share (EPS) increased 11.0% to $2.63 compared with $2.37 for the same period in fiscal 2019. Adjusted diluted EPS rose 9.2% to $2.86 compared with $2.62 in the prior year period primarily driven by an improvement in operating results. The Company’s effective tax rate for the third quarter decreased to 15.0% compared with 18.6% a year ago, primarily due to an income tax expense in the prior year related to finalizing the Company's tax returns with no similar event for the three months ended May 31, 2020. FactSet increased its quarterly dividend by $0.05 per share or 7% to $0.77 marking the fifteenth consecutive year the Company has increased dividends, highlighting its continued commitment to returning value to shareholders. As you can see, there’s not much of a negative sign in sight here. It makes sense considering how FactSet’s FCF has never slowed down: https://preview.redd.it/frmtdk8e9hk51.png?width=276&format=png&auto=webp&s=1c0ff12539e0b2f9dbfda13d0565c5ce2b6f8f1a https://preview.redd.it/6axdb6lh9hk51.png?width=593&format=png&auto=webp&s=9af1673272a5a2d8df28f60f4707e948a00e5ff1 FactSet’s annual subscriptions and professional services have made its way to foreign and developing markets, and many of them are opting for FactSet’s cheaper services to reduce costs and still get copious amounts of data and models to work with. Here’s what FactSet had to say regarding its competitive position within the market of providing financial data in its last 10k: “Despite competing products and services, we enjoy high barriers to entry and believe it would be difficult for another vendor to quickly replicate the extensive databases we currently offer. Through our in-depth analytics and client service, we believe we can offer clients a more comprehensive solution with one of the broadest sets of functionalities, through a desktop or mobile user interface or through a standardized or bespoke data feed.” And FactSet is confident that their ML services cannot be replaced by anybody else in the industry either: “In addition, our applications, including our client support and service offerings, are entrenched in the workflow of many financial professionals given the downloading functions and portfolio analysis/screening capabilities offered. We are entrusted with significant amounts of our clients' own proprietary data, including portfolio holdings. As a result, our products have become central to our clients’ investment analysis and decision-making.” (https://last10k.com/sec-filings/fds#link_fullReport), if you read the full report and compare it to the most recent 8K, you’ll find that the real expenses this quarter were far lower than expected by the last 10k as there was a lower than expected tax rate and a 3% increase in expected operating margin from the expected figure as well. The company also reports a 90% customer retention rate over 15 years, so you know that they’re not lying when they say the clients need them for all sorts of financial data whether it’s for M&A or wealth management and Equity analysis: https://www.investopedia.com/terms/f/factset.asp https://preview.redd.it/yo71y6qj9hk51.png?width=355&format=png&auto=webp&s=a9414bdaa03c06114ca052304a26fae2773c3e45 FactSet also has remarkably good cash conversion considering it’s a subscription based company, a company structure which usually takes on too much leverage. Speaking of leverage, FDS had taken on a lot of leverage in 2015: https://preview.redd.it/oxaa1wel9hk51.png?width=443&format=png&auto=webp&s=13d60d2518980360c403364f7150392ab83d07d7 So what’s that about? Why were FactSet’s long term debts at 0 and all of a sudden why’d the spike up? Well usually for a company that’s non-cyclical and has a well-established product (like FactSet) leverage can actually be good at amplifying returns, so FDS used this to their advantage and this was able to help the share’s price during 2015. Also, as you can see debt/ebitda is beginning a rapid decline anyway. This only adds to my theory that FactSet is trying to expand into new playing fields. FactSet obviously didn’t need the leverage to cover their normal costs, because they have always had consistently growing margins and revenue so the debt financing was only for the sake of financing growth. And this debt can be considered covered and paid off, considering the net income growth of 32% between 2018 and 2019 alone and the EPS growth of 33% https://preview.redd.it/e4trju3p9hk51.png?width=387&format=png&auto=webp&s=6f6bee15f836c47e73121054ec60459f147d353e EBITDA has virtually been exponential for FactSet for a while because of the bang-for-buck for their well-known product, but now as FactSet ventures into algorithmic trading and corporate development the scope for growth is broadly expanded. https://preview.redd.it/yl7f58tr9hk51.png?width=489&format=png&auto=webp&s=68906b9ecbcf6d886393c4ff40f81bdecab9e9fd P/E has declined in the past 2 years, making it a great time to buy. https://preview.redd.it/4mqw3t4t9hk51.png?width=445&format=png&auto=webp&s=e8d719f4913883b044c4150f11b8732e14797b6d Increasing ROE despite lowering of leverage post 2016 https://preview.redd.it/lt34avzu9hk51.png?width=441&format=png&auto=webp&s=f3742ed87cd1c2ccb7a3d3ee71ae8c7007313b2b Mountains of cash have been piling up in the coffers increasing chances of increased dividends for shareholders (imo dividend is too low right now, but increasing it will tempt more investors into it), and on top of that in the last 10k a large buyback expansion program was implemented for $210m worth of shares, which shows how confident they are in the company itself. https://preview.redd.it/fliirmpx9hk51.png?width=370&format=png&auto=webp&s=1216eddeadb4f84c8f4f48692a2f962ba2f1e848 SGA expense/Gross profit has been declining despite expansion of offices I’m a bit concerned about the skin in the game leadership has in this company, since very few executives/board members have significant holdings in the company, but the CEO himself is a FactSet veteran, and knows his way around the company. On top of that, Bloomberg remains king for trading and the fixed income security market, and Reuters beats out FactSet here as well. If FactSet really wants to increase cash flow sources, the expansion into insurance and corp dev has to be successful. Summary: FactSet has a lot of growth still left in its industry which is already fast-growing in and of itself, and it only has more potential at its current valuation. Earnings September 24th should be a massive beat due to investment banking demand and growth plus Hedge fund requirements for data and portfolio management hasn’t gone anywhere and has likely increased due to more market opportunities to buy-in. Calls have shitty greeks, but if you're ballsy October 450s LOL, I'm holding shares I’d say it’s a great long term investment, and it should at least be on your watchlist.
The foreign currency market is the largest of all of the trading markets with an almost unbelievable 5 trillion dollars changing hands each day. Until recently Forex trading was consigned to heavy weight traders and brokers who could afford the high minimum trading amounts required. However, the recent appeal of trading online has prompted a further development in the foreign exchange boom. Increased leverages are now not just available for the big scale traders but also for the starter and lower volume speculators. Whereas minimum deposits were at one time in the thousands of dollars range now they are in the hundreds. Nowadays, a trader can enter the foreign exchange with little more than a credit card, a Forex trading account and a laptop or PC. The boom has led to a number of brokers entering the market to meet the demand in online trading, but getting a suitable broker out of so many options can be difficult. Deciding on a Forex broker Take a look at this list of fundamentals to think about when making your selection of a suitable Forex broker: Foreign currencies All Forex brokers provide the "majors" as pairs to trade upon. These principal moneys include the US dollar (USD), the Japanese Yen (JPY) and the British pound (GBP). Further brokerages host platforms that have the alternative to exchange lesser known moneys. The more sluggish Forex currencies or"exotics" encounter even more volatility as opposed to the "majors" which can provide intriguing trading options. If you are planning on trading on one of the weaker, "exotic" currencies make sure that it on the list of currencies to invest with on your broker of choice's platform. In short make sure that you work with currencies that you have an interest in. Trades A lot of currency brokerages have reduced their minimum deposits to as low as $100. Higher leverage sums which were formerly only made accessible for expert traders are currently on hand for the lower end traders. The good thing about this is that with a 50:1 leverage, on a trading account of $1,000 the user can now sustain a place of $50,000. Be careful to remember, however, that leverage is a sort of financial loan, whilst the strength of your account is markedly increased the potential sum to be lost is also boosted. Regulation Each one of the leading Forex firms will have made sure that they are listed by one or more of the main regulatory authorities. For a user to observe that a company is fully regulated shows that the brokerage service is a serious operation devoted to fair market procedures. Signing up for membership with an unregulated broker is not advised, even more so with such a wide choice of regulated brokers out there.. Minimum amounts for deposit Every broker will designate a minimum deposit amount prior to the start of trading. Smaller deposit amounts can be put down using beginner or low volume trading accounts whereas the high roller accounts require higher minimums to begin. As there are such larger numbers of brokers operating the initial deposit amounts can play a significant role as each company pushes for your custom by trying to out compete rival companies with more tempting welcome offers. You will notice that it can be to your gain if you browse a little. Commissions and Spreads Forex brokerages profit though commissions and spreads. The broker's commission can either be set on a per transaction basis or over a set of transactions. The spread refers to the amount between the actual and the bidding prices of a currency or currency pair. Usually the spread is comes in at around 3-5 pips. Margins It is not unconventional for a broker to require that you fund your account with an advanced amount of capital to counter balance any potential losses that may be experienced. This advanced amount is known as a margin or margin requirement. Be sure that the conditions of the margin requirement are suited to your degree of trading. Trading Platforms The most widespread platform in the online Forex market is the Meta trading platform. It is very reliable and can be accessed both on your computer and your mobile device. Some brokers use their own proprietary trading platform as well so it is advisable to take the time to find out how trusted it is and whether there are any interruptions between messaging between their platform and the actual foreign exchange. Support See if you can get as much information as possible about the level of support available with a broker. Good indicators of a broker's level of service can include the trading education materials they have and if there is a live chat option. Together with this, many top companies display documentation, tutorials and eBooks to educate you on how to improve your chances of achieving profitable returns and cutting down minimising the risks. Forex trading involves risks. You can minimise the risks by researching your broker and testing out your trading strategy thoroughly.
RBI & how its policies can start to affect the market
Disclaimer: This DD is to help start forming a market view as per RBI announcements. Also a gentle reminder that fundamentals play out over a longer time frame than intraday. The authors take no responsiblity for your yolos. With contributions by Asli Bakchodi, Bran OP & dragononweed! What is the RBI? RBI is the central bank of India. They are one of the key players who affect India’s economic trajectory. They control currency supply, banking rules and more. This means that it is not a bank in which retailers or corporates can open an account with. Instead they are a bank for bankers and the Government of India. Their functions can be broadly classified into 6. · Monetary authority · Financial supervisor for financial system · Issuer of currency · Manages Foreign exchange · Bankers bank · Banker to the government This DD will take a look at each of these functions. It will be followed by a list of rates the RBI sets, and how changes in them can affect the market. 1.Monetary Authority One of RBI’s functions is to achieve the goal of “Price Stability” in the economy. This essentially means achieving an inflation rate that is within a desired limit. A monetary policy committee (MPC) decides on the desired inflation rate and its limits through majority vote of its 6 members, in consultation with the GoI. The current inflation target for RBI is as follows Consumer Price Inflation (CPI): 4% Upper Limit: 6% Lower Limit: 2% An increase in CPI means less purchasing power. Generally speaking, if inflation is too high, the public starts cutting down on spending, leading to a negative impact on the markets. And vice versa. Lower inflation leads to more purchasing power, more spending, more investments leading to a positive impact on the market. 2.Financial Supervisor For Financial System A financial system consists of financial markets (Capital market, money market, forex market etc.), financial institutions (banks, stock exchanges, NBFC etc) & financial assets (currencies, bills, bonds etc) RBI supervises this entire system and lays down the rules and regulations for it. It can also use further ‘Selective Credit Controls’ to regulate banks. 3.Issues of currency The RBI is responsible for the printing of currency notes. RBI is free to print as much as it wants as long as the minimum reserve of Rs 200 Cr (Gold 112 Cr) is maintained. The RBI has total assets or a balance size sheet of Rs. 51 trillion (April 2020). (1 Trillion = 1 Lakh crore) India’s current reserves mean our increase in currency circulation is well managed. 4.Manages Foreign Exchange RBI regulates all of India’s foreign exchange transactions. It is the custodian of all of foreign currencies in India. It allows for the foreign exchange value of the rupee to be controlled. RBI also buy and sell rupees in the foreign exchange market at its discretion. In case of any currency movement, a country’s central bank can directly intervene to either push the currency up, as India has been doing, or to keep it artificially low, as the Chinese central bank does. To push up a currency, a central bank can sell dollars, which is the global reserve currency, or the currency against which all others are measured. To push down a currency, a central bank can buy dollars. The RBI deciding this depends on the import/export and financial health of the country. Generally a weaker rupee means imports are more expensive, but are favourable for exports. And a stronger rupee means imports are cheaper but are unfavourable for exports. A weaker rupee can make foreign investment more lucrative driving up FII. A stronger rupee can have an adverse effect of FII investing in markets. 5.Banker’s Bank Every bank has to maintain a certain amount of reserve with the RBI. A certain percentage of a bank’s liabilities (anywhere between 3-15% as decided by RBI) has to be maintained in this account. This is called the Cash Reserve Ratio. This is determined by the MPC during the monetary policy review (which happens every six weeks at present). It lends money from this reserve to other banks if they are short on cash, but generally, it is seen as a last resort move. Banks are encouraged to meet their shortfalls of cash from other resources. 6.Banker to the government RBI is the entity that carries out ALL monetary transactions on behalf of the Government. It holds custody of the cash balance of the Government, gives temporary loans to both central and state governments and manages the debt operations of the central Government, through instruments of debt and the interest rates associated with them - like bonds. The different rates set & managed by RBI - Repo rate The rate at which RBI is willing to lend to commercial banks is called as Repo Rate. Banks sometimes need money for emergency or to maintain the SLR and CRR (explained below). They borrow this from RBI but have to pay some interest on it. The interest that is to be paid on the amount to the RBI is called as Repo Rate. It does not function like a normal loan but acts like a forward contract. Banks have to provide collateral like government bonds, T-bills etc. Repo means Repurchase Option is the true meaning of Repo an agreement where the bank promises to repurchase these government securities after the repo period is over. As a tool to control inflation, RBI increases the Repo Rate making it more expensive for banks to borrow from the RBI with a view to restrict availability of money. Exact opposite stance shall be taken in case of deflationary environment. The change of repo rate is aimed to affect the flow of money in the economy. An increase in repo rate decreases the flow of money in the economy, while the decrease in repo rate increases the flow of money in the economy. RBI by changing these rates shows its stance to the economy at large whether they prioritize growth or inflation. - Reverse Repo Rate The rate at which the RBI is willing to borrow from the Banks is called as Reverse Repo Rate. If the RBI increases the reverse repo rate, it means that the RBI is willing to offer lucrative interest rate to banks to park their money with the RBI. Banks in this case agree to resell government securities after reverse repo period. Generally, an increase in reverse repo rate that banks will have a higher incentive to park their money with RBI. It decreases liquidity, affecting the market in a negative manner. Decrease in reverse repo rate increases liquidity affecting the market in a positive manner. Both the repo rate and reverse repo rate fall under the Liquidity Adjustment Facility tools for RBI. - Cash reserve ratio (CRR) Banks in India are required to deposit a specific percentage of their net demand and time liabilities (NDTL) in the form of CASH with the RBI. This minimum ratio (that is the part of the total deposits to be held as cash) is stipulated by the RBI and is known as the CRR or Cash Reserve Ratio. These reserves will not be in circulation at any point in time. For example, if a bank had a NDTL (like current Account, Savings Account and Fixed Deposits) of 100Cr and the CRR is at 3%, it would have to keep 3Cr as Cash reserve ratio to the RBI. This amount earns no interest. Currently it is at 3%. A lower cash ratio means banks can deposit just a lower amount and use the remaining money leading to higher liquidity. This translates to more money to invest which is seen as positive for the market. Inversely, a higher cash ratio equates to lower liquidity which translates to a negative market sentiment. Thus, the RBI uses the CRR to control excess money flow and regulate liquidity in the economy. - Statutory liquidity ratio (SLR) Banks in India have to keep a certain percentage of their net demand and time liabilities WITH THEMSELVES. And this can be in the form of liquid assets like gold and government securities, not just cash. A lot of banks keep them in government bonds as they give a decent interest. The current SLR ratio of 18.25%, which means that for every Rs.100 deposited in a bank, it has to invest Rs.18.50 in any of the asset classes approved by RBI. A low SLR means higher levels of loans to the private sector. This boosts investment and acts as a positive sentiment for the market. Conversely a high SLR means tighter levels of credit and can cause a negative effect on the market. Essentially, the RBI uses the SLR to control ease of credit in the economy. It also ensures that the banks maintain a certain level of funds to meet depositor’s demands instead of over liquidation. - Bank Rate Bank rate is a rate at which the Reserve Bank of India provides the loan to commercial banks without keeping any security. There is no agreement on repurchase that will be drawn up or agreed upon with no collateral as well. This is different from repo rate as loans taken with repo rate are taken on the basis of securities. Bank rate hence is higher than the repo rate. Currently the bank rate is 4.25%. Since bank rate is essentially a loan interest rate like repo rate, it affects the market in similar ways. - Marginal Cost of Funds based Lending Rate (MCLR) This is the minimum rate below which the banks are not allowed to lend. Raising this rate, makes loans more expensive, drying up liquidity, affecting the market in a negative way. Similarly, lower MCLR rates will bring in high liquidity, affecting the market in a positive way. MCLR is a varying lending rate instead of a single rate according to the kind of loans. Currently, the MCLR rate is between 6.65% - 7.15% - Marginal Standing facility Marginal Standing Facility is the interest rate at which a depository institution (generally banks) lends or borrows funds with another depository institution in the overnight market. Overnight market is the part of financial market which offers the shortest term loans. These loans have to be repaid the next day. MSF can be used by a bank after it exhausts its eligible security holdings for borrowing under other options like the Liquidity adjustment facilities. The MSF would be a penal rate for banks and the banks can borrow funds by pledging government securities within the limits of the statutory liquidity ratio. The current rate stands at 4.25%. The effect it has on the market is synonymous with the other lending rates such as repo rate & bank rate. - Loan to value ratio The loan-to-value (LTV) ratio is an assessment of lending risk that financial institutions and other lenders examine before approving a mortgage. Typically, loan assessments with high LTV ratios are considered higher risk loans. Basically, if a companies preferred form of collateral rises in value and leads the market (growing faster than the market), then the company will see the loans that it signed with higher LTV suddenly reduce (but the interest rate remains the same). Let’s consider an example of gold as a collateral. Consider a loan was approved with gold as collateral. The market price for gold is Rs 2000/g, and for each g, a loan of Rs 1500 was given. (The numbers are simplified for understanding). This would put LTV of the loan at 1500/2000 = 0.75. Since it is a substantial LTV, say the company priced the loan at 20% interest rate. Now the next year, the price of gold rose to Rs 3000/kg. This would mean that the LTV of the current loan has changed to 0.5 but the company is not obligated to change the interest rate. This means that even if the company sees a lot of defaults, it is fairly protected by the unexpected surge in the underlying asset. Moreover, since the underlying asset is more valuable, default rates for the loans goes down as people are more protective of the collateral they have placed. The same scenario for gold is happening right now and is the reason for gold backed loan providers like MUTHOOT to hit ATHs as gold is leading the economy right now. Also, these in these scenarios, it also enables companies to offer additional loan on same gold for those who are interested Instead of keeping the loan amount same most of the gold loan companies. Based on above, we can see that as RBI changes LTV for certain assets, we are in a position to identify potential institutions that could get a good Quarterly result and try to enter it early. Conclusion The above rates contain the ways in the Central Bank manages the monetary policy, growth and inflation in the country. Its impact on Stock market is often seen when these rates are changed, they act as triggers for the intraday positions on that day. But overall, the outlook is always maintained on how the RBI sees the country is doing, and knee jerk reactions are limited to intraday positions. The long term stance is always well within the limits of the outlook the big players in the market are expecting. The important thing to keep in mind is that the problems facing the economy needn’t be uni-dimensional. Problems with inflation, growth, liquidity, currency depreciation all can come together, for which the RBI will have to play a balancing role with all it powers to change these rates and the forex reserve. So the effect on the market needs to be given more thought than simply extrapolated as ‘rates go low, markets go up’. But understanding these individual effects of these rates allows you to start putting together the puzzle of how and where the market and the economy could go.
10 Secrets The Trading Industry Doesn’t Want You To Know About
Today’s lesson goes to be somewhat controversial and should ruffle some feathers. I shall blow wide open and debunk tons of the knowledge you've got presumably been exposed to the present far in your trading journey. The average trader is out there walking through a confusing and conflicting maze of data from a spread of sources including; blogs, forums, broker websites, books, e-books, courses and YouTube videos. With of these learning resources available there's naturally getting to be some excellent and a few very bad information, but actually , there just isn’t how for many aspiring traders to understand what to concentrate to, who to concentrate to, or what information is useful and what information is non-beneficial. I’m not getting to pretend that there's how for an aspiring trader to filter this giant sea of data composed by of these resources and mentors out there, because there simply isn’t. knowledgeable trader with 10,000 hours of experience might stand an opportunity of deciding the great from the bad and therefore the valid from the invalid. However, you, the beginner or intermediate trader simply won’t possess that filtering ability yet. Becoming ‘Non-Average’ As traders, we concede to our instinctive feelings of social trustworthiness supported what we see and listen to , often to our extreme detriment. we frequently tend to require a leap of religion with our mentors and have a habit of taking things said to us at face value. we would like to hold close information that resonates with us and is sensible to us, especially if it’s delivered by a well-known source that we've come to understand and trust. The ‘average trader’s brain’ is usually trying to find a shortcut due to the overwhelming desire to form money and be free. The brain wants to urge a winning result immediately with the smallest amount amount of effort possible. If you would like to ever make it as a professional trader or investor, I suggest you are doing everything you'll to avoid thinking with the ‘average trader’s brain‘ and begin being ‘non-average’. meaning becoming far more aware, thinking outside the box more and questioning and filtering the knowledge you read and watch. most significantly , slowing everything all down! This now begs the apparent question…how does one even know what I’m close to write during this lesson is actually valid and factual? How are you able to really be sure? the reality is unless you've got followed me and my posts on this blog for an extended time and know me and know my work, then you can’t really make certain , and that i don’t expect you to easily believe it at face value. If you would like to return back and re-read this lesson during a few weeks, or a couple of months, or a couple of years, after you work out that i'm somebody worth taking note of about trading OR that i'm somebody not worth taking note of about trading, then so be it. So with a degree of healthy skepticism, I ask you to think about the below list of eye-opening secrets that professional traders and therefore the trading industry, don’t want you to understand about or understand. I hope it helps… Visit : توصيات الذهب اليوم FOREX isn’t the sole market the Professionals trade The FX market is large , with billions of dollars per day changing hands. It can cause you to great money if you recognize what you’re doing OR it can send you broke if you don’t. It’s a really popular market to trade globally, BUT it’s not the sole market the professional’s trade and it’s not always the simplest market to trade either. A note on leverage: The brokers and platform providers want you to trade FX on high leverage because the profit margins are very high for them. However, if you trade FX on lower leverage, the profit margins shrink dramatically for them. once you trade FX, start brooding about what can fail rather than just brooding about what can go right. I suggest avoiding stupidly high leverage like 400 to 1, as this will be very dangerous for you if the market moves quickly or experiences a price gap and your stop-loss orders aren’t executed at the worth you set. A more sensible leverage level would be 100 to 1 or 200 to 1, but any higher seems crazy. (Using an excessive amount of leverage is what wiped tons of traders out during Swiss Bank Crisis in 2015, The Brexit choose 2016 and therefore the Currency flash crash in early 2019). Broaden your view: Going forward, it'll serve you well in your trading career to start out watching a spread of worldwide markets including FX, Stock Indicies and Commodities. additionally to FX, I personally trade GOLD (XAUUSD), S&P500 Index USA, the SPI200 Index Australia, and therefore the Hang Seng Index Hong Kong , and sometimes individual stocks on various global exchanges. In short, there's more to the trading world than simply FX. I discuss the foremost popular markets I trade this lesson here. Day trading isn’t what Pro trading really is The internet is crammed with marketing trying to convince folks that the definition of a trader may be a one that spends all day actively trading in and out of the market on a brief term basis, all whilst living the life-style of a Wall St millionaire. there's a significant agenda within the industry to push this story to the masses, it's been relentless for many years . I am yet to satisfy one successful day trader who is consistent over the future and that i have almost 25,000 students and 250,000 readers on this blog. i'm not saying there isn’t a couple of out there, but 99.9% of the people that do this sort of trading or attempt to live up to the standard day trader stereotype are getting to fail and perhaps even harm themselves financially or mentally. Watching a screen all day and searching for trades constantly is that the like a compulsive gambler playing roulette during a casino. The successful traders i do know of (myself included) are watching higher time frames and longer time horizons (minimum 4-hour chart timeframes and predominantly daily chart time frames). they need no restriction on how long they're looking to carry a trade for and that they tend to let the trades find them. The professionals i do know , don't day trade, they are doing not watch screens all day, they are doing not search for trades constantly. they're going to typically fall under the category of a swing trader, trend trader or position trader. The obvious paradox and conflicting reality within the ‘day trader story’ is blatantly obvious. How does a trader who is consistently watching a screen and constantly trading have time to enjoy his life and live the lifestyle? They chose to trade as a profession to possess a life, they didn’t choose it to observe a screen 24/5. Here are some points to think about that employment against the so-called ‘ day trader’: The shorter the time-frame the more noise and random price movement there's , thus increasing your chance of simply being stopped out of the trade. Your ‘trading edge’ features a higher chance of yielding a result for you if you’re not trading within the intraday noise. The same trading edge doesn't work or produce an equivalent results on a 5 min chart compared to a Daily chart. Commissions and spreads churn your account, therefore the more you trade the more you lose in broker platform costs. (I will mention this below) Risk-Reward ratios aren't relative on shorter and longer time frames. Statistical average volatility across different time periods also as natural market dynamics play an enormous role during this . there's much more weight behind higher time frames than lower timeframes. Great trades take time because the market moves slower than most of the people ever anticipate. Trading from the upper timeframes and holding trades for extended time periods will provide you with greater opportunities to ascertain trades mature into big winners. However, shorter timeframes don’t provide you with this same opportunity fairly often .
Factset: How You can Invest in Hedge Funds’ Biggest Investment Tl;dr FactSet is the most undervalued widespread SaaS/IT solution stock that exists If any of you have relevant experience or are friends with people in Investment Banking/other high finance, you know that Factset is the lifeblood of their financial analysis toolkit if and when it’s not Bloomberg, which isn’t even publicly traded. Factset has been around since 1978 and it’s considered a staple like Bloomberg in many wealth management firms, and it offers some of the easiest to access and understandable financial data so many newer firms focused less on trading are switching to Factset because it has a lot of the same data Bloomberg offers for half the cost. When it comes to modern financial data, Factset outcompetes Reuters and arguably Bloomberg as well due to their API services which makes Factset much more preferable for quantitative divisions of banks/hedge funds as API integration with Python/R is the most important factor for vast data lakes of financial data, this suggests Factset will be much more prepared for programming making its way into traditional finance fields. According to Factset, their mission for data delivery is to: “Integrate the data you need with your applications, web portals, and statistical packages. Whether you need market, company, or alternative data, FactSet flexible data delivery services give you normalized data through APIs and a direct delivery of local copies of standard data feeds. Our unique symbology links and aggregates a variety of content sources to ensure consistency, transparency, and data integrity across your business. Build financial models and power customized applications with FactSet APIs in our developer portal”. Their technical focus for their data delivery system alone should make it stand out compared to Bloomberg, whose UI is far more outdated and complex on top of not being as technically developed as Factset’s. Factset is the key provider of buy-side portfolio analysis for IBs, Hedge funds, and Private Equity firms, and it’s making its way into non-quantitative hedge funds as well because quantitative portfolio management makes automation of risk management and the application of portfolio theory so much easier, and to top it off, Factset’s scenario analysis and simulation is unique in its class. Factset also is able to automate trades based on individual manager risk tolerance and ML optimization for Forex trading as well. Not only does Factset provide solutions for financial companies, they are branching out to all corporations now and providing quantitative analytics for them in the areas of “corporate development, M&A, strategy, treasury, financial planning and analysis, and investor relations workflows”. Factset will eventually in my opinion reach out to Insurance Risk Management a lot more in the future as that’s a huge industry which has yet to see much automation of risk management yet, and with the field wide open, Factset will be the first to take advantage without a shadow of a doubt. So let’s dig into the company’s financials now: Their latest 8k filing reported the following: Revenue increased 2.6%, or $9.6 million, to $374.1 million compared with $364.5 million for the same period in fiscal 2019. The increase is primarily due to higher sales of analytics, content and technology solutions (CTS) and wealth management solutions. Annual Subscription Value (ASV) plus professional services was $1.52 billion at May 31, 2020, compared with $1.45 billion at May 31, 2019. The organic growth rate, which excludes the effects of acquisitions, dispositions, and foreign currency movements, was 5.0%. The primary contributors to this growth rate were higher sales in FactSet's wealth and research workflow solutions and a price increase in the Company's international region Adjusted operating margin improved to 35.5% compared with 34.0% in the prior year period primarily as a result of reduced employee-related operating expenses due to the coronavirus pandemic. Diluted earnings per share (EPS) increased 11.0% to $2.63 compared with $2.37 for the same period in fiscal 2019. Adjusted diluted EPS rose 9.2% to $2.86 compared with $2.62 in the prior year period primarily driven by an improvement in operating results. The Company’s effective tax rate for the third quarter decreased to 15.0% compared with 18.6% a year ago, primarily due to an income tax expense in the prior year related to finalizing the Company's tax returns with no similar event for the three months ended May 31, 2020. FactSet increased its quarterly dividend by $0.05 per share or 7% to $0.77 marking the fifteenth consecutive year the Company has increased dividends, highlighting its continued commitment to returning value to shareholders. As you can see, there’s not much of a negative sign in sight here. It makes sense considering how FactSet’s FCF has never slowed down FactSet’s annual subscriptions and professional services have made its way to foreign and developing markets, and many of them are opting for FactSet’s cheaper services to reduce costs and still get copious amounts of data and models to work with. Here’s what FactSet had to say regarding its competitive position within the market of providing financial data in its last 10k: “Despite competing products and services, we enjoy high barriers to entry and believe it would be difficult for another vendor to quickly replicate the extensive databases we currently offer. Through our in-depth analytics and client service, we believe we can offer clients a more comprehensive solution with one of the broadest sets of functionalities, through a desktop or mobile user interface or through a standardized or bespoke data feed.” And FactSet is confident that their ML services cannot be replaced by anybody else in the industry either: “In addition, our applications, including our client support and service offerings, are entrenched in the workflow of many financial professionals given the downloading functions and portfolio analysis/screening capabilities offered. We are entrusted with significant amounts of our clients' own proprietary data, including portfolio holdings. As a result, our products have become central to our clients’ investment analysis and decision-making.” (https://last10k.com/sec-filings/fds#link_fullReport), if you read the full report and compare it to the most recent 8K, you’ll find that the real expenses this quarter were far lower than expected by the last 10k as there was a lower than expected tax rate and a 3% increase in expected operating margin from the expected figure as well. The company also reports a 90% customer retention rate over 15 years, so you know that they’re not lying when they say the clients need them for all sorts of financial data whether it’s for M&A or wealth management and Equity analysis: https://www.investopedia.com/terms/f/factset.asp FactSet also has remarkably good cash conversion considering it’s a subscription based company, a company structure which usually takes on too much leverage. Speaking of leverage, FDS had taken on a lot of leverage in 2015: So what’s that about? Why were FactSet’s long term debts at 0 and all of a sudden why’d the spike up? Well usually for a company that’s non-cyclical and has a well-established product (like FactSet) leverage can actually be good at amplifying returns, so FDS used this to their advantage and this was able to help the share’s price during 2015. Also, as you can see debt/ebitda is beginning a rapid decline anyway. This only adds to my theory that FactSet is trying to expand into new playing fields. FactSet obviously didn’t need the leverage to cover their normal costs, because they have always had consistently growing margins and revenue so the debt financing was only for the sake of financing growth. And this debt can be considered covered and paid off, considering the net income growth of 32% between 2018 and 2019 alone and the EPS growth of 33% EBITDA has virtually been exponential for FactSet for a while because of the bang-for-buck for their well-known product, but now as FactSet ventures into algorithmic trading and corporate development the scope for growth is broadly expanded. P/E has declined in the past 2 years, making it a great time to buy. Increasing ROE despite lowering of leverage post 2016 Mountains of cash have been piling up in the coffers increasing chances of increased dividends for shareholders (imo dividend is too low right now, but increasing it will tempt more investors into it), and on top of that in the last 10k a large buyback expansion program was implemented for $210m worth of shares, which shows how confident they are in the company itself. SGA expense/Gross profit has been declining despite expansion of offices I’m a bit concerned about the skin in the game leadership has in this company, since very few executives/board members have significant holdings in the company, but the CEO himself is a FactSet veteran, and knows his way around the company. On top of that, Bloomberg remains king for trading and the fixed income security market, and Reuters beats out FactSet here as well. If FactSet really wants to increase cash flow sources, the expansion into insurance and corp dev has to be successful. Summary: FactSet has a lot of growth still left in its industry which is already fast-growing in and of itself, and it only has more potential at its current valuation. Earnings September 24th should be a massive beat due to investment banking demand and growth plus Hedge fund requirements for data and portfolio management hasn’t gone anywhere and has likely increased due to more market opportunities to buy-in.
Now's a good time for to get a lesson in the greeks you fucking retards. This document outlines the relative risks and rewards of certain trading strategies and how to manage risks along with some basic math and econ. This should be basic for most of you. Why do stocks go up? Because capital growth has a diminishing returns to scale. In the long run capital is used to create more capital generating growth until it balances with capital depreciation which is linear. You can increase the equilibrium capital accumulation by increasing savings rates essentially trading off short run consumption for long run consumption. The implications of this are that less capital intensive economies grow at faster rates than developed because developed economies are very close to hitting the equilibrium point and have to rely on technological advancements for long run growth. Not every economy is equal though, all have differences in economic institutions, government effectiveness and political norms which will also affect their long run effectiveness. Long story short if the government engages in ineffective policies like protectionism, price manipulation, overly burdensome regulations, underregulation, or inefficient redistribution programs the short run micro/macro picture will be hurt and reflected in the long run picture. The US has had a thriving stock market despite having relatively low growth because it has taken the first mover advantage in many industries. Global Tech, higher education, finance, and pharma are all centered in the US because the US policies have made doing business in the US the optimal choice for these industries. For as long as the US is a capitalist nation you can be sure that the stock market will go up in the long run. This is not necessarily the case for commodities or forex as higher growth has typically led to investments in productive efficiency outweighing increased demand in raw materials and exchange rates do not have a long run trend. Fundamentally, the stock market is a good place to invest savings into in the long run. Stocks and exponential returns. Stocks go up so you want to capture the value of price increases. Stocks have a delta of one and a gamma of zero resulting in a linear return to movement of the stock price. Long run capital accumulation, although diminishing, is still exponential and in the long run will return an exponentially increasing return to investment on stock. Linear gains * exponential increase in underlying = exponential gains. But what if things go down? In the short run stocks decrease in value at exponential rates which is absolutely fantastic for investors because exponential declines are diminishing in scale. 10% of 100 is 10, 10% of 90 is 9, 10% of 81 is less and so on and so forth. You may get linear returns from movement but you receive increasing returns to scale gains on the upside and decreasing returns to scale losses on the downside. Delta and Gamma Long options have even better fundamentals than stocks because they amplify the exponentiality through gamma. As an option moves into the money its delta increases creating exponential gains in value. As an option moves out of the money delta decreases, lowering losses. Thus options while having more risk per dollar than stocks have far superior risk returns in the short run. Theta and Vega The opposite is true of selling a call and you're put into the position of wanting to sell when times are most dire and hold when times are good. In exchange you get benefit from theta decay but if you can reasonably predict the movement of the market that's pretty much nothing compared to the gains from delta you could get investing the same amount of money into long calls. Selling also requires way more money further reducing its risk to return. But what about vega? When markets crash, volatility skyrockets. Long calls gain and the opposite is true once again for selling them. Mathematically, buying longs has the best return on risk of any option strategy but higher absolute losses when delta doesn't move in your favor. Selling longs or spreads has a way worse return to risk but you'll lose less money when delta moves against you and it's harder for any one position to lose all of its value. Theta gang isn't more profitable than bullgang, it's less risky per dollar spent. The reason market makers don't play like WSB retards is because they play on margin and the 20-30% losses we typically take and make back buying longs would cause their investors to flee bankrupting them. Strategy implications Longs
If you can reasonably predict positive price movement these should be your go to position to capture delta and gamma. Otm has better delta to price but comes at the cost of worse theta to price. I recommend getting slightly OTM options to balance collecting gamma with exposure to theta risk.
Optimal position size: The total size of spy correlated longs should not exceed 25-50% of your account balance. Only double down on a losing position if your longs get blown up. Your risk return from delta gets better the more blown up your contracts get and exponential gains can bring you back to green.
When to sell? Sell when you think there's a chance risk from theta or vega might outweigh delta gains. Also sell when the underlying moves against you but that should be obvious. Delta goes up the more you go into the money so its better to hold winners than profit take early when possible.
Profit taking: If you don't want bail from a position completely when you profit take consider selling a call to lock in most of your profits while retaining some delta risk with a debt spread.
You will take losses buying tons of longs but if you do it right your winners will outweigh your losers easily.
Selling naked longs
If you're doing wheel, go for it. Selling naked longs shouldn't be done otherwise unless you want to park your cash somewhere and bond yields are too long for your liking or you anticipate a IV decrease. The tradeoff is receiving gains from theta, smaller delta per dollar spent(lower risk) and less options leverage.
For all intents and purposes OTM credit spreads are like selling naked with more leverage.
Edit: The prior statement was kinda wrong. Selling a wide credit spread is like selling a long. There's still a tradeoff with reduced gains from theta and reduced delta.
When deciding between debt or credit make a prediction about whether IV will increase or decrease and whether you want risk up front or later.
Absolutely do not buy OTM debit spreads in any situation where you wouldn't buy the same position as a credit spread. Compared to a long call you're reducing your delta and vega in exchange for the possibility of theta gains as you reach the short leg of your spread. If you actually managed to reach the short leg of your debt spread before expiration a long call would have made many times more money and now you're stuck sitting on your debt spread waiting for theta to decay it to its maximum value at expiration. Every youtube resource I've seen on debt spread pricing is wrong, if your spread goes completely in the money you will not have something worth max value, you will have something that decays towards max value akin to a close to the money credit spread.
The best usage for OTM debt spreads is as hedges where you think the price will reach a certain point at some specific point in the future and you're worried about adverse movements in delta or IV between now and then.
Edit: For what to do with your cash position, you could put it into gold, bonds, bond etfs, non spy correlated stocks or whatever. Low risk theta gang strats are fine in bull markets but don't expect to make real money from them. I'm cash since volatility is high, u do u.
https://preview.redd.it/gp18bjnlabr41.jpg?width=768&format=pjpg&auto=webp&s=6054e7f52e8d52da403016139ae43e0e799abf15 Download PDF of this article here:https://docdro.id/6eLgUPo In light of the recent fall in oil prices due to the Saudi-Russian dispute and dampening demand for oil due to the lockdowns implemented globally, O&G stocks have taken a severe beating, falling approximately 50% from their highs at the beginning of the year. Not spared from this onslaught is Hibiscus Petroleum Berhad (Hibiscus), a listed oil and gas (O&G) exploration and production (E&P) company. Why invest in O&G stocks in this particularly uncertain period? For one, valuations of these stocks have fallen to multi-year lows, bringing the potential ROI on these stocks to attractive levels. Oil prices are cyclical, and are bound to return to the mean given a sufficiently long time horizon. The trick is to find those companies who can survive through this downturn and emerge into “normal” profitability once oil prices rebound. In this article, I will explore the upsides and downsides of investing in Hibiscus. I will do my best to cater this report to newcomers to the O&G industry – rather than address exclusively experts and veterans of the O&G sector. As an equity analyst, I aim to provide a view on the company primarily, and will generally refrain from providing macro views on oil or opinions about secular trends of the sector. I hope you enjoy reading it! Stock code: 5199.KL Stock name: Hibiscus Petroleum Berhad Financial information and financial reports: https://www.malaysiastock.biz/Corporate-Infomation.aspx?securityCode=5199 Company website: https://www.hibiscuspetroleum.com/
Hibiscus Petroleum Berhad (5199.KL) is an oil and gas (O&G) upstream exploration and production (E&P) company located in Malaysia. As an E&P company, their business can be basically described as: · looking for oil, · drawing it out of the ground, and · selling it on global oil markets. This means Hibiscus’s profits are particularly exposed to fluctuating oil prices. With oil prices falling to sub-$30 from about $60 at the beginning of the year, Hibiscus’s stock price has also fallen by about 50% YTD – from around RM 1.00 to RM 0.45 (as of 5 April 2020). https://preview.redd.it/3dqc4jraabr41.png?width=641&format=png&auto=webp&s=7ba0e8614c4e9d781edfc670016a874b90560684 https://preview.redd.it/lvdkrf0cabr41.png?width=356&format=png&auto=webp&s=46f250a713887b06986932fa475dc59c7c28582e While the company is domiciled in Malaysia, its two main oil producing fields are located in both Malaysia and the UK. The Malaysian oil field is commonly referred to as the North Sabah field, while the UK oil field is commonly referred to as the Anasuria oil field. Hibiscus has licenses to other oil fields in different parts of the world, notably the Marigold/Sunflower oil fields in the UK and the VIC cluster in Australia, but its revenues and profits mainly stem from the former two oil producing fields. Given that it’s a small player and has only two primary producing oil fields, it’s not surprising that Hibiscus sells its oil to a concentrated pool of customers, with 2 of them representing 80% of its revenues (i.e. Petronas and BP). Fortunately, both these customers are oil supermajors, and are unlikely to default on their obligations despite low oil prices. At RM 0.45 per share, the market capitalization is RM 714.7m and it has a trailing PE ratio of about 5x. It doesn’t carry any debt, and it hasn’t paid a dividend in its listing history. The MD, Mr. Kenneth Gerard Pereira, owns about 10% of the company’s outstanding shares.
Reserves (Total recoverable oil) & Production (bbl/day)
To begin analyzing the company, it’s necessary to understand a little of the industry jargon. We’ll start with Reserves and Production. In general, there are three types of categories for a company’s recoverable oil volumes – Reserves, Contingent Resources and Prospective Resources. Reserves are those oil fields which are “commercial”, which is defined as below: As defined by the SPE PRMS,Reservesare “… quantities of petroleum anticipated to be commercially recoverable by application of development projects to known accumulations from a given date forward under defined conditions.” Therefore, Reserves must be discovered (by drilling, recoverable (with current technology), remaining in the subsurface (at the effective date of the evaluation) and “commercial” based on the development project proposed.) Note that Reserves are associated with development projects. To be considered as “commercial”, there must be a firm intention to proceed with the project in a reasonable time frame (typically 5 years, and such intention must be based upon all of the following criteria:) - A reasonable assessment of the future economics of the development project meeting defined investment and operating criteria;- A reasonable expectation that there will be a market for all or at least the expected sales quantities of production required to justify development;- Evidence that the necessary production and transportation facilities are available or can be made available; and- Evidence that legal, contractual, environmental and other social and economic concerns will allow for the actual implementation of the recovery project being evaluated. Contingent Resources and Prospective Resources are further defined as below: -Contingent Resources: potentially recoverable volumes associated with a development plan that targets discovered volumes but is not (yet commercial (as defined above); and)-Prospective Resources: potentially recoverable volumes associated with a development plan that targets as yet undiscovered volumes. In the industry lingo, we generally refer to Reserves as ‘P’ and Contingent Resources as ‘C’. These ‘P’ and ‘C’ resources can be further categorized into 1P/2P/3P resources and 1C/2C/3C resources, each referring to a low/medium/high estimate of the company’s potential recoverable oil volumes: - Low/1C/1P estimate: there should be reasonable certainty that volumes actually recovered will equal or exceed the estimate;- Best/2C/2P estimate: there should be an equal likelihood of the actual volumes of petroleum being larger or smaller than the estimate; and- High/3C/3P estimate: there is a low probability that the estimate will be exceeded. Hence in the E&P industry, it is easy to see why most investors and analysts refer to the 2P estimate as the best estimate for a company’s actual recoverable oil volumes. This is because 2P reserves (‘2P’ referring to ‘Proved and Probable’) are a middle estimate of the recoverable oil volumes legally recognized as “commercial”. However, there’s nothing stopping you from including 2C resources (riskier) or utilizing 1P resources (conservative) as your estimate for total recoverable oil volumes, depending on your risk appetite. In this instance, the company has provided a snapshot of its 2P and 2C resources in its analyst presentation: https://preview.redd.it/o8qejdyc8br41.png?width=710&format=png&auto=webp&s=b3ab9be8f83badf0206adc982feda3a558d43e78 Basically, what the company is saying here is that by 2021, it will have classified as 2P reserves at least 23.7 million bbl from its Anasuria field and 20.5 million bbl from its North Sabah field – for total 2P reserves of 44.2 million bbl (we are ignoring the Australian VIC cluster as it is only estimated to reach first oil by 2022). Furthermore, the company is stating that they have discovered (but not yet legally classified as “commercial”) a further 71 million bbl of oil from both the Anasuria and North Sabah fields, as well as the Marigold/Sunflower fields. If we include these 2C resources, the total potential recoverable oil volumes could exceed 100 million bbl. In this report, we shall explore all valuation scenarios giving consideration to both 2P and 2C resources. https://preview.redd.it/gk54qplf8br41.png?width=489&format=png&auto=webp&s=c905b7a6328432218b5b9dfd53cc9ef1390bd604 The company further targets a 2021 production rate of 20,000 bbl (LTM: 8,000 bbl), which includes 5,000 bbl from its Anasuria field (LTM: 2,500 bbl) and 7,000 bbl from its North Sabah field (LTM: 5,300 bbl). This is a substantial increase in forecasted production from both existing and prospective oil fields. If it materializes, annual production rate could be as high as 7,300 mmbbl, and 2021 revenues (given FY20 USD/bbl of $60) could exceed RM 1.5 billion (FY20: RM 988 million). However, this targeted forecast is quite a stretch from current production levels. Nevertheless, we shall consider all provided information in estimating a valuation for Hibiscus. To understand Hibiscus’s oil production capacity and forecast its revenues and profits, we need to have a better appreciation of the performance of its two main cash-generating assets – the North Sabah field and the Anasuria field. North Sabah oil field https://preview.redd.it/62nssexj8br41.png?width=1003&format=png&auto=webp&s=cd78f86d51165fb9a93015e49496f7f98dad64dd Hibiscus owns a 50% interest in the North Sabah field together with its partner Petronas, and has production rights over the field up to year 2040. The asset contains 4 oil fields, namely the St Joseph field, South Furious field, SF 30 field and Barton field. For the sake of brevity, we shall not delve deep into the operational aspects of the fields or the contractual nature of its production sharing contract (PSC). We’ll just focus on the factors which relate to its financial performance. These are: · Average uptime · Total oil sold · Average realized oil price · Average OPEX per bbl With regards to average uptime, we can see that the company maintains relative high facility availability, exceeding 90% uptime in all quarters of the LTM with exception of Jul-Sep 2019. The dip in average uptime was due to production enhancement projects and maintenance activities undertaken to improve the production capacity of the St Joseph and SF30 oil fields. Hence, we can conclude that management has a good handle on operational performance. It also implies that there is little room for further improvement in production resulting from increased uptime. As North Sabah is under a production sharing contract (PSC), there is a distinction between gross oil production and net oil production. The former relates to total oil drawn out of the ground, whereas the latter refers to Hibiscus’s share of oil production after taxes, royalties and expenses are accounted for. In this case, we want to pay attention to net oil production, not gross. We can arrive at Hibiscus’s total oil sold for the last twelve months (LTM) by adding up the total oil sold for each of the last 4 quarters. Summing up the figures yields total oil sold for the LTM of approximately 2,075,305 bbl. Then, we can arrive at an average realized oil price over the LTM by averaging the average realized oil price for the last 4 quarters, giving us an average realized oil price over the LTM of USD 68.57/bbl. We can do the same for average OPEX per bbl, giving us an average OPEX per bbl over the LTM of USD 13.23/bbl. Thus, we can sum up the above financial performance of the North Sabah field with the following figures: · Total oil sold: 2,075,305 bbl · Average realized oil price: USD 68.57/bbl · Average OPEX per bbl: USD 13.23/bbl Anasuria oil field https://preview.redd.it/586u4kfo8br41.png?width=1038&format=png&auto=webp&s=7580fc7f7df7e948754d025745a5cf47d4393c0f Doing the same exercise as above for the Anasuria field, we arrive at the following financial performance for the Anasuria field: · Total oil sold: 1,073,304 bbl · Average realized oil price: USD 63.57/bbl · Average OPEX per bbl: USD 23.22/bbl As gas production is relatively immaterial, and to be conservative, we shall only consider the crude oil production from the Anasuria field in forecasting revenues.
Valuation (Method 1)
Putting the figures from both oil fields together, we get the following data: https://preview.redd.it/7y6064dq8br41.png?width=700&format=png&auto=webp&s=2a4120563a011cf61fc6090e1cd5932602599dc2 Given that we have determined LTM EBITDA of RM 632m, the next step would be to subtract ITDA (interest, tax, depreciation & amortization) from it to obtain estimated LTM Net Profit. Using FY2020’s ITDA of approximately RM 318m as a guideline, we arrive at an estimated LTM Net Profit of RM 314m (FY20: 230m). Given the current market capitalization of RM 714.7m, this implies a trailing LTM PE of 2.3x. Performing a sensitivity analysis given different oil prices, we arrive at the following net profit table for the company under different oil price scenarios, assuming oil production rate and ITDA remain constant: https://preview.redd.it/xixge5sr8br41.png?width=433&format=png&auto=webp&s=288a00f6e5088d01936f0217ae7798d2cfcf11f2 From the above exercise, it becomes apparent that Hibiscus has a breakeven oil price of about USD 41.8863/bbl, and has a lot of operating leverage given the exponential rate of increase in its Net Profit with each consequent increase in oil prices. Considering that the oil production rate (EBITDA) is likely to increase faster than ITDA’s proportion to revenues (fixed costs), at an implied PE of 4.33x, it seems likely that an investment in Hibiscus will be profitable over the next 10 years (with the assumption that oil prices will revert to the mean in the long-term).
Valuation (Method 2)
Of course, there are a lot of assumptions behind the above method of valuation. Hence, it would be prudent to perform multiple methods of valuation and compare the figures to one another. As opposed to the profit/loss assessment in Valuation (Method 1), another way of performing a valuation would be to estimate its balance sheet value, i.e. total revenues from 2P Reserves, and assign a reasonable margin to it. https://preview.redd.it/o2eiss6u8br41.png?width=710&format=png&auto=webp&s=03960cce698d9cedb076f3d5f571b3c59d908fa8 From the above, we understand that Hibiscus’s 2P reserves from the North Sabah and Anasuria fields alone are approximately 44.2 mmbbl (we ignore contribution from Australia’s VIC cluster as it hasn’t been developed yet). Doing a similar sensitivity analysis of different oil prices as above, we arrive at the following estimated total revenues and accumulated net profit: https://preview.redd.it/h8hubrmw8br41.png?width=450&format=png&auto=webp&s=6d23f0f9c3dafda89e758b815072ba335467f33e Let’s assume that the above average of RM 9.68 billion in total realizable revenues from current 2P reserves holds true. If we assign a conservative Net Profit margin of 15% (FY20: 23%; past 5 years average: 16%), we arrive at estimated accumulated Net Profit from 2P Reserves ofRM 1.452 billion. Given the current market capitalization of RM 714 million, we might be able to say that the equity is worth about twice the current share price. However, it is understandable that some readers might feel that the figures used in the above estimate (e.g. net profit margin of 15%) were randomly plucked from the sky. So how do we reconcile them with figures from the financial statements? Fortunately, there appears to be a way to do just that. Intangible Assets I refer you to a figure in the financial statements which provides a shortcut to the valuation of 2P Reserves. This is the carrying value of Intangible Assets on the Balance Sheet. As of 2QFY21, that amount was RM 1,468,860,000 (i.e. RM 1.468 billion). https://preview.redd.it/hse8ttb09br41.png?width=881&format=png&auto=webp&s=82e48b5961c905fe9273cb6346368de60202ebec Quite coincidentally, one might observe that this figure is dangerously close to the estimated accumulated Net Profit from 2P Reserves of RM 1.452 billion we calculated earlier. But why would this amount matter at all? To answer that, I refer you to the notes of the Annual Report FY20 (AR20). On page 148 of the AR20, we find the following two paragraphs: E&E assets comprise of rights and concession and conventional studies. Following the acquisition of a concession right to explore a licensed area, the costs incurred such as geological and geophysical surveys, drilling, commercial appraisal costs and other directly attributable costs of exploration and appraisal including technical and administrative costs, are capitalised as conventional studies, presented as intangible assets. E&E assets are assessed for impairment when facts and circumstances suggest that the carrying amount of an E&E asset may exceed its recoverable amount. The Group will allocate E&E assets to cash generating unit (“CGU”s or groups of CGUs for the purpose of assessing such assets for impairment. Each CGU or group of units to which an E&E asset is allocated will not be larger than an operating segment as disclosed in Note 39 to the financial statements.) Hence, we can determine that firstly, the intangible asset value represents capitalized costs of acquisition of the oil fields, including technical exploration costs and costs of acquiring the relevant licenses. Secondly, an impairment review will be carried out when “the carrying amount of an E&E asset may exceed its recoverable amount”, with E&E assets being allocated to “cash generating units” (CGU) for the purposes of assessment. On page 169 of the AR20, we find the following: Carrying amounts of the Group’s intangible assets, oil and gas assets and FPSO are reviewed for possible impairment annually including any indicators of impairment. For the purpose of assessing impairment, assets are grouped at the lowest level CGUs for which there is a separately identifiable cash flow available. These CGUs are based on operating areas, represented by the 2011 North Sabah EOR PSC (“North Sabah”, the Anasuria Cluster, the Marigold and Sunflower fields, the VIC/P57 exploration permit (“VIC/P57”) and the VIC/L31 production license (“VIC/L31”).) So apparently, the CGUs that have been assigned refer to the respective oil producing fields, two of which include the North Sabah field and the Anasuria field. In order to perform the impairment review, estimates of future cash flow will be made by management to assess the “recoverable amount” (as described above), subject to assumptions and an appropriate discount rate. Hence, what we can gather up to now is that management will estimate future recoverable cash flows from a CGU (i.e. the North Sabah and Anasuria oil fields), compare that to their carrying value, and perform an impairment if their future recoverable cash flows are less than their carrying value. In other words, if estimated accumulated profits from the North Sabah and Anasuria oil fields are less than their carrying value, an impairment is required. So where do we find the carrying values for the North Sabah and Anasuria oil fields? Further down on page 184 in the AR20, we see the following: Included in rights and concession are the carrying amounts of producing field licenses in the Anasuria Cluster amounting to RM668,211,518 (2018: RM687,664,530, producing field licenses in North Sabah amounting to RM471,031,008 (2018: RM414,333,116)) Hence, we can determine that the carrying values for the North Sabah and Anasuria oil fields are RM 471m and RM 668m respectively. But where do we find the future recoverable cash flows of the fields as estimated by management, and what are the assumptions used in that calculation? Fortunately, we find just that on page 185: 17 INTANGIBLE ASSETS (CONTINUED) (a Anasuria Cluster) The Directors have concluded that there is no impairment indicator for Anasuria Cluster during the current financial year. In the previous financial year, due to uncertainties in crude oil prices, the Group has assessed the recoverable amount of the intangible assets, oil and gas assets and FPSO relating to the Anasuria Cluster. The recoverable amount is determined using the FVLCTS model based on discounted cash flows (“DCF” derived from the expected cash in/outflow pattern over the production lives.) The key assumptions used to determine the recoverable amount for the Anasuria Cluster were as follows: (i Discount rate of 10%;) (ii Future cost inflation factor of 2% per annum;) (iii Oil price forecast based on the oil price forward curve from independent parties; and,) (iv Oil production profile based on the assessment by independent oil and gas reserve experts.) Based on the assessments performed, the Directors concluded that the recoverable amount calculated based on the valuation model is higher than the carrying amount. (b North Sabah) The acquisition of the North Sabah assets was completed in the previous financial year. Details of the acquisition are as disclosed in Note 15 to the financial statements. The Directors have concluded that there is no impairment indicator for North Sabah during the current financial year. Here, we can see that the recoverable amount of the Anasuria field was estimated based on a DCF of expected future cash flows over the production life of the asset. The key assumptions used by management all seem appropriate, including a discount rate of 10% and oil price and oil production estimates based on independent assessment. From there, management concludes that the recoverable amount of the Anasuria field is higher than its carrying amount (i.e. no impairment required). Likewise, for the North Sabah field. How do we interpret this? Basically, what management is saying is that given a 10% discount rate and independent oil price and oil production estimates, the accumulated profits (i.e. recoverable amount) from both the North Sabah and the Anasuria fields exceed their carrying amounts of RM 471m and RM 668m respectively. In other words, according to management’s own estimates, the carrying value of the Intangible Assets of RM 1.468 billionapproximates the accumulated Net Profit recoverable from 2P reserves. To conclude Valuation (Method 2), we arrive at the following:
Accumulated Net Profit from 2P Reserves
RM 1.452 billion
RM 1.468 billion
By now, we have established the basic economics of Hibiscus’s business, including its revenues (i.e. oil production and oil price scenarios), costs (OPEX, ITDA), profitability (breakeven, future earnings potential) and balance sheet value (2P reserves, valuation). Moving on, we want to gain a deeper understanding of the 3 statements to anticipate any blind spots and risks. We’ll refer to the financial statements of both the FY20 annual report and the 2Q21 quarterly report in this analysis. For the sake of brevity, I’ll only point out those line items which need extra attention, and skip over the rest. Feel free to go through the financial statements on your own to gain a better familiarity of the business. https://preview.redd.it/h689bss79br41.png?width=810&format=png&auto=webp&s=ed47fce6a5c3815dd3d4f819e31f1ce39ccf4a0b Income Statement First, we’ll start with the Income Statement on page 135 of the AR20. Revenues are straightforward, as we’ve discussed above. Cost of Sales and Administrative Expenses fall under the jurisdiction of OPEX, which we’ve also seen earlier. Other Expenses are mostly made up of Depreciation & Amortization of RM 115m. Finance Costs are where things start to get tricky. Why does a company which carries no debt have such huge amounts of finance costs? The reason can be found in Note 8, where it is revealed that the bulk of finance costs relate to the unwinding of discount of provision for decommissioning costs of RM 25m (Note 32). https://preview.redd.it/4omjptbe9br41.png?width=1019&format=png&auto=webp&s=eaabfc824134063100afa62edfd36a34a680fb60 This actually refers to the expected future costs of restoring the Anasuria and North Sabah fields to their original condition once the oil reserves have been depleted. Accounting standards require the company to provide for these decommissioning costs as they are estimable and probable. The way the decommissioning costs are accounted for is the same as an amortized loan, where the initial carrying value is recognized as a liability and the discount rate applied is reversed each year as an expense on the Income Statement. However, these expenses are largely non-cash in nature and do not necessitate a cash outflow every year (FY20: RM 69m). Unwinding of discount on non-current other payables of RM 12m relate to contractual payments to the North Sabah sellers. We will discuss it later. Taxation is another tricky subject, and is even more significant than Finance Costs at RM 161m. In gist, Hibiscus is subject to the 38% PITA (Petroleum Income Tax Act) under Malaysian jurisdiction, and the 30% Petroleum tax + 10% Supplementary tax under UK jurisdiction. Of the RM 161m, RM 41m of it relates to deferred tax which originates from the difference between tax treatment and accounting treatment on capitalized assets (accelerated depreciation vs straight-line depreciation). Nonetheless, what you should take away from this is that the tax expense is a tangible expense and material to breakeven analysis. Fortunately, tax is a variable expense, and should not materially impact the cash flow of Hibiscus in today’s low oil price environment. Note: Cash outflows for Tax Paid in FY20 was RM 97m, substantially below the RM 161m tax expense. https://preview.redd.it/1xrnwzm89br41.png?width=732&format=png&auto=webp&s=c078bc3e18d9c79d9a6fbe1187803612753f69d8 Balance Sheet The balance sheet of Hibiscus is unexciting; I’ll just bring your attention to those line items which need additional scrutiny. I’ll use the figures in the latest 2Q21 quarterly report (2Q21) and refer to the notes in AR20 for clarity. We’ve already discussed Intangible Assets in the section above, so I won’t dwell on it again. Moving on, the company has Equipment of RM 582m, largely relating to O&G assets (e.g. the Anasuria FPSO vessel and CAPEX incurred on production enhancement projects). Restricted cash and bank balances represent contractual obligations for decommissioning costs of the Anasuria Cluster, and are inaccessible for use in operations. Inventories are relatively low, despite Hibiscus being an E&P company, so forex fluctuations on carrying value of inventories are relatively immaterial. Trade receivables largely relate to entitlements from Petronas and BP (both oil supermajors), and are hence quite safe from impairment. Other receivables, deposits and prepayments are significant as they relate to security deposits placed with sellers of the oil fields acquired; these should be ignored for cash flow purposes. Note: Total cash and bank balances do not include approximately RM 105 m proceeds from the North Sabah December 2019 offtake (which was received in January 2020) Cash and bank balances of RM 90m do not include RM 105m of proceeds from offtake received in 3Q21 (Jan 2020). Hence, the actual cash and bank balances as of 2Q21 approximate RM 200m. Liabilities are a little more interesting. First, I’ll draw your attention to the significant Deferred tax liabilities of RM 457m. These largely relate to the amortization of CAPEX (i.e. Equipment and capitalized E&E expenses), which is given an accelerated depreciation treatment for tax purposes. The way this works is that the government gives Hibiscus a favorable tax treatment on capital expenditures incurred via an accelerated depreciation schedule, so that the taxable income is less than usual. However, this leads to the taxable depreciation being utilized quicker than accounting depreciation, hence the tax payable merely deferred to a later period – when the tax depreciation runs out but accounting depreciation remains. Given the capital intensive nature of the business, it is understandable why Deferred tax liabilities are so large. We’ve discussed Provision for decommissioning costs under the Finance Costs section earlier. They are also quite significant at RM 266m. Notably, the Other Payables and Accruals are a hefty RM 431m. What do they relate to? Basically, they are contractual obligations to the sellers of the oil fields which are only payable upon oil prices reaching certain thresholds. Hence, while they are current in nature, they will only become payable when oil prices recover to previous highs, and are hence not an immediate cash outflow concern given today’s low oil prices. Cash Flow Statement There is nothing in the cash flow statement which warrants concern. Notably, the company generated OCF of approximately RM 500m in FY20 and RM 116m in 2Q21. It further incurred RM 330m and RM 234m of CAPEX in FY20 and 2Q21 respectively, largely owing to production enhancement projects to increase the production rate of the Anasuria and North Sabah fields, which according to management estimates are accretive to ROI. Tax paid was RM 97m in FY20 and RM 61m in 2Q21 (tax expense: RM 161m and RM 62m respectively).
There are a few obvious and not-so-obvious risks that one should be aware of before investing in Hibiscus. We shall not consider operational risks (e.g. uptime, OPEX) as they are outside the jurisdiction of the equity analyst. Instead, we shall focus on the financial and strategic risks largely outside the control of management. The main ones are: · Oil prices remaining subdued for long periods of time · Fluctuation of exchange rates · Customer concentration risk · 2P Reserves being less than estimated · Significant current and non-current liabilities · Potential issuance of equity Oil prices remaining subdued Of topmost concern in the minds of most analysts is whether Hibiscus has the wherewithal to sustain itself through this period of low oil prices (sub-$30). A quick and dirty estimate of annual cash outflow (i.e. burn rate) assuming a $20 oil world and historical production rates is between RM 50m-70m per year, which considering the RM 200m cash balance implies about 3-4 years of sustainability before the company runs out of cash and has to rely on external assistance for financing. Table 1: Hibiscus EBITDA at different oil price and exchange rates https://preview.redd.it/gxnekd6h9br41.png?width=670&format=png&auto=webp&s=edbfb9621a43480d11e3b49de79f61a6337b3d51 The above table shows different EBITDA scenarios (RM ‘m) given different oil prices (left column) and USD:MYR exchange rates (top row). Currently, oil prices are $27 and USD:MYR is 1:4.36. Given conservative assumptions of average OPEX/bbl of $20 (current: $15), we can safely say that the company will be loss-making as long as oil remains at $20 or below (red). However, we can see that once oil prices hit $25, the company can tank the lower-end estimate of the annual burn rate of RM 50m (orange), while at RM $27 it can sufficiently muddle through the higher-end estimate of the annual burn rate of RM 70m (green). Hence, we can assume that as long as the average oil price over the next 3-4 years remains above $25, Hibiscus should come out of this fine without the need for any external financing. Customer Concentration Risk With regards to customer concentration risk, there is not much the analyst or investor can do except to accept the risk. Fortunately, 80% of revenues can be attributed to two oil supermajors (Petronas and BP), hence the risk of default on contractual obligations and trade receivables seems to be quite diminished. 2P Reserves being less than estimated 2P Reserves being less than estimated is another risk that one should keep in mind. Fortunately, the current market cap is merely RM 714m – at half of estimated recoverable amounts of RM 1.468 billion – so there’s a decent margin of safety. In addition, there are other mitigating factors which shall be discussed in the next section (‘Opportunities’). Significant non-current and current liabilities The significant non-current and current liabilities have been addressed in the previous section. It has been determined that they pose no threat to immediate cash flow due to them being long-term in nature (e.g. decommissioning costs, deferred tax, etc). Hence, for the purpose of assessing going concern, their amounts should not be a cause for concern. Potential issuance of equity Finally, we come to the possibility of external financing being required in this low oil price environment. While the company should last 3-4 years on existing cash reserves, there is always the risk of other black swan events materializing (e.g. coronavirus) or simply oil prices remaining muted for longer than 4 years. Furthermore, management has hinted that they wish to acquire new oil assets at presently depressed prices to increase daily production rate to a targeted 20,000 bbl by end-2021. They have room to acquire debt, but they may also wish to issue equity for this purpose. Hence, the possibility of dilution to existing shareholders cannot be entirely ruled out. However, given management’s historical track record of prioritizing ROI and optimal capital allocation, and in consideration of the fact that the MD owns 10% of outstanding shares, there is some assurance that any potential acquisitions will be accretive to EPS and therefore valuations.
As with the existence of risk, the presence of material opportunities also looms over the company. Some of them are discussed below: · Increased Daily Oil Production Rate · Inclusion of 2C Resources · Future oil prices exceeding $50 and effects from coronavirus dissipating Increased Daily Oil Production Rate The first and most obvious opportunity is the potential for increased production rate. We’ve seen in the last quarter (2Q21) that the North Sabah field increased its daily production rate by approximately 20% as a result of production enhancement projects (infill drilling), lowering OPEX/bbl as a result. To vastly oversimplify, infill drilling is the process of maximizing well density by drilling in the spaces between existing wells to improve oil production. The same improvements are being undertaken at the Anasuria field via infill drilling, subsea debottlenecking, water injection and sidetracking of existing wells. Without boring you with industry jargon, this basically means future production rate is likely to improve going forward. By how much can the oil production rate be improved by? Management estimates in their analyst presentation that enhancements in the Anasuria field will be able to yield 5,000 bbl/day by 2021 (current: 2,500 bbl/day). Similarly, improvements in the North Sabah field is expected to yield 7,000 bbl/day by 2021 (current: 5,300 bbl/day). This implies a total 2021 expected daily production rate from the two fields alone of 12,000 bbl/day (current: 8,000 bbl/day). That’s a 50% increase in yields which we haven’t factored into our valuation yet. Furthermore, we haven’t considered any production from existing 2C resources (e.g. Marigold/Sunflower) or any potential acquisitions which may occur in the future. By management estimates, this can potentially increase production by another 8,000 bbl/day, bringing total production to 20,000 bbl/day. While this seems like a stretch of the imagination, it pays to keep them in mind when forecasting future revenues and valuations. Just to play around with the numbers, I’ve come up with a sensitivity analysis of possible annual EBITDA at different oil prices and daily oil production rates: Table 2: Hibiscus EBITDA at different oil price and daily oil production rates https://preview.redd.it/jnpfhr5n9br41.png?width=814&format=png&auto=webp&s=bbe4b512bc17f576d87529651140cc74cde3d159 The left column represents different oil prices while the top row represents different daily oil production rates. The green column represents EBITDA at current daily production rate of 8,000 bbl/day; the orange column represents EBITDA at targeted daily production rate of 12,000 bbl/day; while the purple column represents EBITDA at maximum daily production rate of 20,000 bbl/day. Even conservatively assuming increased estimated annual ITDA of RM 500m (FY20: RM 318m), and long-term average oil prices of $50 (FY20: $60), the estimated Net Profit and P/E ratio is potentially lucrative at daily oil production rates of 12,000 bbl/day and above. 2C Resources Since we’re on the topic of improved daily oil production rate, it bears to pay in mind the relatively enormous potential from Hibiscus’s 2C Resources. North Sabah’s 2C Resources alone exceed 30 mmbbl; while those from the yet undiagnosed Marigold/Sunflower fields also reach 30 mmbbl. Altogether, 2C Resources exceed 70 mmbbl, which dwarfs the 44 mmbbl of 2P Reserves we have considered up to this point in our valuation estimates. To refresh your memory, 2C Resources represents oil volumes which have been discovered but are not yet classified as “commercial”. This means that there is reasonable certainty of the oil being recoverable, as opposed to simply being in the very early stages of exploration. So, to be conservative, we will imagine that only 50% of 2C Resources are eligible for reclassification to 2P reserves, i.e. 35 mmbbl of oil. https://preview.redd.it/mto11iz7abr41.png?width=375&format=png&auto=webp&s=e9028ab0816b3d3e25067447f2c70acd3ebfc41a This additional 35 mmbbl of oil represents an 80% increase to existing 2P reserves. Assuming the daily oil production rate increases similarly by 80%, we will arrive at 14,400 bbl/day of oil production. According to Table 2 above, this would yield an EBITDA of roughly RM 630m assuming $50 oil. Comparing that estimated EBITDA to FY20’s actual EBITDA:
FY21 (incl. 2C)
Daily oil production (bbl/day)
Average oil price (USD/bbl)
Average OPEX/bbl (USD)
EBITDA (RM ‘m)
Hence, even conservatively assuming lower oil prices and higher OPEX/bbl (which should decrease in the presence of higher oil volumes) than last year, we get approximately the same EBITDA as FY20. For the sake of completeness, let’s assume that Hibiscus issues twice the no. of existing shares over the next 10 years, effectively diluting shareholders by 50%. Even without accounting for the possibility of the acquisition of new oil fields, at the current market capitalization of RM 714m, the prospective P/E would be about 10x. Not too shabby. Future oil prices exceeding $50 and effects from coronavirus dissipating Hibiscus shares have recently been hit by a one-two punch from oil prices cratering from $60 to $30, as a result of both the Saudi-Russian dispute and depressed demand for oil due to coronavirus. This has massively increased supply and at the same time hugely depressed demand for oil (due to the globally coordinated lockdowns being implemented). Given a long enough timeframe, I fully expect OPEC+ to come to an agreement and the economic effects from the coronavirus to dissipate, allowing oil prices to rebound. As we equity investors are aware, oil prices are cyclical and are bound to recover over the next 10 years. When it does, valuations of O&G stocks (including Hibiscus’s) are likely to improve as investors overshoot expectations and begin to forecast higher oil prices into perpetuity, as they always tend to do in good times. When that time arrives, Hibiscus’s valuations are likely to become overoptimistic as all O&G stocks tend to do during oil upcycles, resulting in valuations far exceeding reasonable estimates of future earnings. If you can hold the shares up until then, it’s likely you will make much more on your investment than what we’ve been estimating.
Wrapping up what we’ve discussed so far, we can conclude that Hibiscus’s market capitalization of RM 714m far undershoots reasonable estimates of fair value even under conservative assumptions of recoverable oil volumes and long-term average oil prices. As a value investor, I hesitate to assign a target share price, but it’s safe to say that this stock is worth at least RM 1.00 (current: RM 0.45). Risk is relatively contained and the upside far exceeds the downside. While I have no opinion on the short-term trajectory of oil prices, I can safely recommend this stock as a long-term Buy based on fundamental research.
Finding Trading Edges: Where to Get High R:R trades and Profit Potential of Them.
TL;DR - I will try and flip an account from $50 or less to $1,000 over 2019. I will post all my account details so my strategy can be seen/copied. I will do this using only three or four trading setups. All of which are simple enough to learn. I will start trading on 10th January. ---- As I see it there are two mains ways to understand how to make money in the markets. The first is to know what the biggest winners in the markets are doing and duplicating what they do. This is hard. Most of the biggest players will not publicly tell people what they are doing. You need to be able to kinda slide in with them and see if you can pick up some info. Not suitable for most people, takes a lot of networking and even then you have to be able to make the correct inferences. Another way is to know the most common trades of losing traders and then be on the other side of their common mistakes. This is usually far easier, usually everyone knows the mind of a losing trader. I learned about what losing traders do every day by being one of them for many years. I noticed I had an some sort of affinity for buying at the very top of moves and selling at the very bottom. This sucked, however, is was obvious there was winning trades on the other side of what I was doing and the adjustments to be a good trader were small (albeit, tricky). Thus began the study for entries and maximum risk:reward. See, there have been times I have bought aiming for a 10 pip scalps and hit 100 pips stops loss. Hell, there have been times I was going for 5 pips and hit 100 stop out. This can seem discouraging, but it does mean there must be 1:10 risk:reward pay-off on the other side of these mistakes, and they were mistakes. If you repeatedly enter and exit at the wrong times, you are making mistakes and probably the same ones over and over again. The market is tricking you! There are specific ways in which price moves that compel people to make these mistakes (I won’t go into this in this post, because it takes too long and this is going to be a long post anyway, but a lot of this is FOMO). Making mistakes is okay. In fact, as I see it, making mistakes is an essential part of becoming an expert. Making a mistake enough times to understand intrinsically why it is a mistake and then make the required adjustments. Understanding at a deep level why you trade the way you do and why others make the mistakes they do, is an important part of becoming an expert in your chosen area of focus. I could talk more on these concepts, but to keep the length of the post down, I will crack on to actual examples of trades I look for. Here are my three main criteria. I am looking for tops/bottoms of moves (edge entries). I am looking for 1:3 RR or more potential pay-offs. My strategy assumes that retail trades will lose most of the time. This seems a fair enough assumption. Without meaning to sound too crass about it, smart money will beat dumb money most of the time if the game is base on money. They just will. So to summarize, I am looking for the points newbies get trapped in bad positions entering into moves too late. From these areas, I am looking for high RR entries. Setup Examples. I call this one the “Lightning Bolt correction”, but it is most commonly referred to as a “two leg correction”. I call it a “Lightning Bolt correction” because it looks a bit like one, and it zaps you. If you get it wrong. https://preview.redd.it/t4whwijse2721.png?width=1326&format=png&auto=webp&s=c9050529c6e2472a3ff9f8e7137bd4a3ee5554cc Once I see price making the first sell-off move and then begin to rally towards the highs again, I am waiting for a washout spike low. The common trades mistakes I am trading against here is them being too eager to buy into the trend too early and for the to get stopped out/reverse position when it looks like it is making another bearish breakout. Right at that point they panic … literally one candle under there is where I want to be getting in. I want to be buying their stop loss, essentially. “Oh, you don’t want that ...okay, I will have that!” I need a precise entry. I want to use tiny stops (for big RR) so I need to be cute with entries. For this, I need entry rules. Not just arbitrarily buying the spike out. There are a few moving parts to this that are outside the scope of this post but one of my mains ways is using a fibs extension and looking for reversals just after the 1.61% level. How to draw the fibs is something else that is outside the scope of this but for one simple rule, they can be drawn on the failed new high leg. https://preview.redd.it/2cd682kve2721.png?width=536&format=png&auto=webp&s=f4d081c9faff49d0976f9ffab260aaed2b570309 I am looking for a few specific things for a prime setup. Firstly, I am looking for the false hope candles, the ones that look like they will reverse the market and let those buying too early get out break-even or even at profit. In this case, you can see the hammer and engulfing candle off the 127 level, then it spikes low in that “stop-hunt” sort of style. Secondly I want to see it trading just past my entry level (161 ext). This rule has come from nothing other than sheer volume. The amount of times I’ve been stopped out by 1 pip by that little sly final low has gave birth to this rule. I am looking for the market to trade under support in a manner that looks like a new strong breakout. When I see this, I am looking to get in with tiny stops, right under the lows. I will also be using smaller charts at this time and looking for reversal clusters of candles. Things like dojis, inverted hammers etc. These are great for sticking stops under. Important note, when the lightning bolt correction fails to be a good entry, I expect to see another two legs down. I may look to sell into this area sometimes, and also be looking for buying on another couple legs down. It is important to note, though, when this does not work out, I expect there to be continued momentum that is enough to stop out and reasonable stop level for my entry. Which is why I want to cut quick. If a 10 pips stop will hit, usually a 30 pips stop will too. Bin it and look for the next opportunity at better RR. https://preview.redd.it/mhkgy35ze2721.png?width=1155&format=png&auto=webp&s=a18278b85b10278603e5c9c80eb98df3e6878232 Another setup I am watching for is harmonic patterns, and I am using these as a multi-purpose indicator. When I see potentially harmonic patterns forming, I am using their completion level as take profits, I do not want to try and run though reversal patterns I can see forming hours ahead of time. I also use them for entering (similar rules of looking for specific entry criteria for small stops). Finally, I use them as a continuation pattern. If the harmonic pattern runs past the area it may have reversed from, there is a high probability that the market will continue to trend and very basic trend following strategies work well. I learned this from being too stubborn sticking with what I thought were harmonic reversals only to be ran over by a trend (seriously, everything I know I know from how it used to make me lose). https://preview.redd.it/1ytz2431f2721.png?width=1322&format=png&auto=webp&s=983a7f2a91f9195004ad8a2aa2bb9d4d6f128937 A method of spotting these sorts of M/W harmonics is they tend to form after a second spike out leg never formed. When this happens, it gives me a really good idea of where my profit targets should be and where my next big breakout level is. It is worth noting, larger harmonics using have small harmonics inside them (on lower time-frames) and this can be used for dialling in optimum entries. I also use harmonics far more extensively in ranging markets. Where they tend to have higher win rates. Next setup is the good old fashioned double bottoms/double top/one tick trap sort of setup. This comes in when the market is highly over extended. It has a small sell-off and rallies back to the highs before having a much larger sell-off. This is a more risky trade in that it sells into what looks like trending momentum and can be stopped out more. However, it also pays a high RR when it works, allowing for it to be ran at reduced risk and still be highly profitable when it comes through. https://preview.redd.it/1bx83776f2721.png?width=587&format=png&auto=webp&s=2c76c3085598ae70f4142d26c46c8d6e9b1c2881 From these sorts of moves, I am always looking for a follow up buy if it forms a lightning bolt sort of setup. All of these setups always offer 1:3 or better RR. If they do not, you are doing it wrong (and it will be your stop placement that is wrong). This is not to say the target is always 1:3+, sometimes it is best to lock in profits with training stops. It just means that every time you enter, you can potentially have a trade that runs for many times more than you risked. 1:10 RR can be hit in these sorts of setups sometimes. Paying you 20% for 2% risked. I want to really stress here that what I am doing is trading against small traders mistakes. I am not trying to “beat the market maker”. I am not trying to reverse engineer J.P Morgan’s black boxes. I do not think I am smart enough to gain a worthwhile edge over these traders. They have more money, they have more data, they have better softwares … they are stronger. Me trying to “beat the market maker” is like me trying to beat up Mike Tyson. I might be able to kick him in the balls and feel smug for a few seconds. However, when he gets up, he is still Tyson and I am still me. I am still going to be pummeled. I’ve seen some people that were fairly bright people going into training courses and coming out dumb as shit. Thinking they somehow are now going to dominate Goldman Sachs because they learned a chart pattern. Get a grip. For real, get a fucking grip. These buzz phrases are marketeering. Realististically, if you want to win in the markets, you need to have an edge over somebody. I don’t have edges on the banks. If I could find one, they’d take it away from me. Edges work on inefficiencies in what others do that you can spot and they can not. I do not expect to out-think a banks analysis team. I know for damn sure I can out-think a version of me from 5 years ago … and I know there are enough of them in the markets. I look to trade against them. I just look to protect myself from the larger players so they can only hurt me in limited ways. Rather than letting them corner me and beat me to a pulp (in the form of me watching $1,000 drop off my equity because I moved a stop or something), I just let them kick me in the butt as I run away. It hurts a little, but I will be over it soon. I believe using these principles, these three simple enough edge entry setups, selectiveness (remembering you are trading against the areas people make mistakes, wait for they areas) and measured aggression a person can make impressive compounded gains over a year. I will attempt to demonstrate this by taking an account of under $100 to over $1,000 in a year. I will use max 10% on risk on a position, the risk will scale down as the account size increases. In most cases, 5% risk per trade will be used, so I will be going for 10-20% or so profits. I will be looking only for prime opportunities, so few trades but hard hitting ones when I take them. I will start trading around the 10th January. Set remind me if you want to follow along. I will also post my investor login details, so you can see the trades in my account in real time. Letting you see when I place my orders and how I manage running positions. I also think these same principles can be tweaked in such a way it is possible to flip $50 or so into $1,000 in under a month. I’ve done $10 to $1,000 in three days before. This is far more complex in trade management, though. Making it hard to explain/understand and un-viable for many people to copy (it hedges, does not comply with FIFO, needs 1:500 leverage and also needs spreads under half a pip on EURUSD - not everyone can access all they things). I see all too often people act as if this can’t be done and everyone saying it is lying to sell you something. I do not sell signals. I do not sell training. I have no dog in this fight, I am just saying it can be done. There are people who do it. If you dismiss it as impossible; you will never be one of them. If I try this 10 times with $50, I probably am more likely to make $1,000 ($500 profit) in a couple months than standard ideas would double $500 - I think I have better RR, even though I may go bust 5 or more times. I may also try to demonstrate this, but it is kinda just show-boating, quite honestly. When it works, it looks cool. When it does not, I can go bust in a single day (see example https://www.fxblue.com/users/redditmicroflip). So I may or may not try and demonstrate this. All this is, is just taking good basic concepts and applying accelerated risk tactics to them and hitting a winning streak (of far less trades than you may think). Once you have good entries and RR optimization in place - there really is no reason why you can not scale these up to do what may people call impossible (without even trying it). I know there are a lot of people who do not think these things are possible and tend to just troll whenever people talk about these things. There used to be a time when I’d try to explain why I thought the way I did … before I noticed they only cared about telling me why they were right and discussion was pointless. Therefore, when it comes to replies, I will reply to all comments that ask me a question regarding why I think this can be done, or why I done something that I done. If you are commenting just to tell me all the reasons you think I am wrong and you are right, I will probably not reply. I may well consider your points if they are good ones. I just do not entering into discussions with people who already know everything; it serves no purpose. Edit: Addition. I want to talk a bit more about using higher percentage of risk than usual. Firstly, let me say that there are good reasons for risk caps that people often cite as “musts”. There are reasons why 2% is considered optimum for a lot of strategies and there are reasons drawing down too much is a really bad thing. Please do not be ignorant of this. Please do not assume I am, either. In previous work I done, I was selecting trading strategies that could be used for investment. When doing this, my only concern was drawdown metrics. These are essential for professional money management and they are also essential for personal long-term success in trading. So please do not think I have not thought of these sorts of things Many of the reasons people say these things can’t work are basic 101 stuff anyone even remotely committed to learning about trading learns in their first 6 months. Trust me, I have thought about these concepts. I just never stopped thinking when I found out what public consensus was. While these 101 rules make a lot of sense, it does not take away from the fact there are other betting strategies, and if you can know the approximate win rate and pay-off of trades, you can have other ways of deriving optimal bet sizes (risk per trade). Using Kelly Criterion, for example, if the pay-off is 1:3 and there is a 75% chance of winning, the optimal bet size is 62.5%. It would be a viable (high risk) strategy to have extremely filtered conditions that looked for just one perfect set up a month, makingover 150% if it was successful. Let’s do some math on if you can pull that off three months in a row (using 150% gain, for easy math). Start $100. Month two starts $250. Month three $625. Month three ends $1,562. You have won three trades. Can you win three trades in a row under these conditions? I don’t know … but don’t assume no-one can. This is extremely high risk, let’s scale it down to meet somewhere in the middle of the extremes. Let’s look at 10%. Same thing, 10% risk looking for ideal opportunities. Maybe trading once every week or so. 30% pay-off is you win. Let’s be realistic here, a lot of strategies can drawdown 10% using low risk without actually having had that good a chance to generate 30% gains in the trades it took to do so. It could be argued that trading seldomly but taking 5* the risk your “supposed” to take can be more risk efficient than many strategies people are using. I am not saying that you should be doing these things with tens of thousands of dollars. I am not saying you should do these things as long term strategies. What I am saying is do not dismiss things out of hand just because they buck the “common knowns”. There are ways you can use more aggressive trading tactics to turn small sums of money into they $1,000s of dollars accounts that you exercise they stringent money management tactics on. With all the above being said, you do have to actually understand to what extent you have an edge doing what you are doing. To do this, you should be using standard sorts of risks. Get the basics in place, just do not think you have to always be basic. Once you have good basics in place and actually make a bit of money, you can section off profits for higher risk versions of strategies. The basic concepts of money management are golden. For longevity and large funds; learned them and use them! Just don’t forget to think for yourself once you have done that. Update - Okay, I have thought this through a bit more and decided I don't want to post my live account investor login, because it has my full name and I do not know who any of you are. Instead, for copying/observing, I will give demo account login (since I can choose any name for a demo). I will also copy onto a live account and have that tracked via Myfxbook. I will do two versions. One will be FIFO compliant. It will trade only single trade positions. The other will not be FIFO compliant, it will open trades in batches. I will link up live account in a week or so. For now, if anyone wants to do BETA testing with the copy trader, you can do so with the following details (this is the non-FIFO compliant version). Account tracking/copying details. Low-Medium risk. IC Markets MT4 Account number: 10307003 Investor PW:lGdMaRe6 Server: Demo:01 (Not FIFO compliant) Valid and Invalid Complaints. There are a few things that can pop up in copy trading. I am not a n00b when it comes to this, so I can somewhat forecast what these will be. I can kinda predict what sort of comments there may be. Some of these are valid points that if you raise I should (and will) reply to. Some are things outside of the scope of things I can influence, and as such, there is no point in me replying to. I will just cover them all here the one time. Valid complains are if I do something dumb or dramatically outside of the strategy I have laid out here. won't do these, if I do, you can pitchfork ----E Examples; “Oi, idiot! You opened a trade randomly on a news spike. I got slipped 20 pips and it was a shit entry”. Perfectly valid complaint. “Why did you open a trade during swaps hours when the spread was 30 pips?” Also valid. “You left huge trades open running into the weekend and now I have serious gap paranoia!” Definitely valid. These are examples of me doing dumb stuff. If I do dumb stuff, it is fair enough people say things amounting to “Yo, that was dumb stuff”. Invalid Complains; “You bought EURUSD when it was clearly a sell!!!!” Okay … you sell. No-one is asking you to copy my trades. I am not trading your strategy. Different positions make a market. “You opened a position too big and I lost X%”. No. Na uh. You copied a position too big. If you are using a trade copier, you can set maximum risk. If you neglect to do this, you are taking 100% risk. You have no valid compliant for losing. The act of copying and setting the risk settings is you selecting your risk. I am not responsible for your risk. I accept absolutely no liability for any losses. *Suggested fix. Refer to risk control in copy trading software “You lost X trades in a row at X% so I lost too much”. Nope. You copied. See above. Anything relating to losing too much in trades (placed in liquid/standard market conditions) is entirely you. I can lose my money. Only you can set it up so you can lose yours. I do not have access to your account. Only mine. *Suggested fix. Refer to risk control in copy trading software “Price keeps trading close to the pending limit orders but not filling. Your account shows profits, but mine is not getting them”. This is brokerage. I have no control over this. I use a strategy that aims for precision, and that means a pip here and there in brokerage spreads can make a difference. I am trading to profit from my trading conditions. I do not know, so can not account for, yours. * Suggested fix. Compare the spread on your broker with the spread on mine. Adjust your orders accordingly. Buy limit orders will need to move up a little. Sell limit orders should not need adjusted. “I got stopped out right before the market turned, I have a loss but your account shows a profit”. This is brokerage. I have no control over this. I use a strategy that aims for precision, and that means a pip here and there differences in brokerage spreads can make a difference. I am trading to profit from my trading conditions. I do not know, so can not account for, yours. ** Suggested fix. Compare the spread on your broker with the spread on mine. Adjust your orders accordingly. Stop losses on sell orders will need to move up a bit. Stops on buy orders will be fine. “Your trade got stopped out right before the market turned, if it was one more pip in the stop, it would have been a winner!!!” Yeah. This happens. This is where the “risk” part of “risk:reward” comes in. “Price traded close to take profit, yours filled but mines never”. This is brokerage. I have no control over this. I use a strategy that aims for precision, and that means a pip here and there differences in brokerage spreads can make a difference. I am trading to profit from my trading conditions. I do not know, so can not account for, yours. (Side note, this should not be an issue since when my trade closes, it should ping your account to close, too. You might get a couple less pips). *** Suggested fix. Compare the spread on your broker with the spread on mine. Adjust your orders accordingly. Take profits on buys will need to move up a bit. Sell take profits will be fine. “My brokers spread jumped to 20 during the New York session so the open trade made a bigger loss than it should”. Your broker might just suck if this happens. This is brokerage. I have no control over this. My trades are placed to profit from my brokerage conditions. I do not know, so can not account for yours. Also, if accounting for random spread spikes like this was something I had to do, this strategy would not be a thing. It only works with fair brokerage conditions. *Suggested fix. Do a bit of Googling and find out if you have a horrific broker. If so, fix that! A good search phrase is; “(Broker name) FPA reviews”. “Price hit the stop loss but was going really fast and my stop got slipped X pips”. This is brokerage. I have no control over this. I use a strategy that aims for precision, and that means a pip here and there differences in brokerage spreads can make a difference. I am trading to profit from my trading conditions. I do not know, so can not account for, yours. If my trade also got slipped on the stop, I was slipped using ECN conditions with excellent execution; sometimes slips just happen. I am doing the most I can to prevent them, but it is a fact of liquidity that sometimes we get slipped (slippage can also work in our favor, paying us more than the take profit would have been). “Orders you placed failed to execute on my account because they were too large”. This is brokerage. I have no control over this. Margin requirements vary. I have 1:500 leverage available. I will not always be using it, but I can. If you can’t, this will make a difference. “Your account is making profits trading things my broker does not have” I have a full range of assets to trade with the broker I use. Included Forex, indices, commodities and cryptocurrencies. I may or may not use the extent of these options. I can not account for your brokerage conditions. I think I have covered most of the common ones here. There are some general rules of thumb, though. Basically, if I do something that is dumb and would have a high probability of losing on any broker traded on, this is a valid complain. Anything that pertains to risk taken in standard trading conditions is under your control. Also, anything at all that pertains to brokerage variance there is nothing I can do, other than fully brief you on what to expect up-front. Since I am taking the time to do this, I won’t be a punchbag for anything that happens later pertaining to this. I am not using an elitist broker. You don’t need $50,000 to open an account, it is only $200. It is accessible to most people - brokerage conditions akin to what I am using are absolutely available to anyone in the UK/Europe/Asia (North America, I am not so up on, so can’t say). With the broker I use, and with others. If you do not take the time to make sure you are trading with a good broker, there is nothing I can do about how that affects your trades. I am using an A book broker, if you are using B book; it will almost certainly be worse results. You have bad costs. You are essentially buying from reseller and paying a mark-up. (A/B book AKA ECN/Market maker; learn about this here). My EURUSD spread will typically be 0.02 pips or so, if yours is 1 pip, this is a huge difference. These are typical spreads I am working on. https://preview.redd.it/yc2c4jfpab721.png?width=597&format=png&auto=webp&s=c377686b2485e13171318c9861f42faf325437e1 Check the full range of spreads on Forex, commodities, indices and crypto. Please understand I want nothing from you if you benefit from this, but I am also due you nothing if you lose. My only term of offering this is that people do not moan at me if they lose money. I have been fully upfront saying this is geared towards higher risk. I have provided information and tools for you to take control over this. If I do lose people’s money and I know that, I honestly will feel a bit sad about it. However, if you complain about it, all I will say is “I told you that might happen”, because, I am telling you that might happen. Make clear headed assessments of how much money you can afford to risk, and use these when making your decisions. They are yours to make, and not my responsibility. Update. Crazy Kelly Compounding: $100 - $11,000 in 6 Trades. $100 to $11,000 in 6 trades? Is it a scam? Is it a gamble? … No, it’s maths. Common sense risk disclaimer: Don’t be a dick! Don’t risk money you can’t afford to lose. Do not risk money doing these things until you can show a regular profit on low risk. Let’s talk about Crazy Kelly Compounding (CKC). Kelly criterion is a method for selecting optimal bet sizes if the odds and win rate are known (in other words, once you have worked out how to create and assess your edge). You can Google to learn about it in detail. The formula for Kelly criterion is; ((odds-1) * (percentage estimate)) - (1-percent estimate) / (odds-1) X 100 Now let’s say you can filter down a strategy to have a 80% win rate. It trades very rarely, but it had a very high success rate when it does. Let’s say you get 1:2 RR on that trade. Kelly would give you an optimum bet size of about 60% here. So if you win, you win 120%. Losing three trades in a row will bust you. You can still recover from anything less than that, fairly easily with a couple winning trades. This is where CKC comes in. What if you could string some of these wins together, compounding the gains (so you were risking 60% each time)? What if you could pull off 6 trades in a row doing this? Here is the math; https://preview.redd.it/u3u6teqd7c721.png?width=606&format=png&auto=webp&s=3b958747b37b68ec2a769a8368b5cbebfe0e97ff This shows years, substitute years for trades. 6 trades returns $11,338! This can be done. The question really is if you are able to dial in good enough entries, filter out enough sub-par trades and have the guts to pull the trigger when the time is right. Obviously you need to be willing to take the hit, obviously that hit gets bigger each time you go for it, but the reward to risk ratio is pretty decent if you can afford to lose the money. We could maybe set something up to do this on cent brokers. So people can do it literally risking a couple dollars. I’d have to check to see if there was suitable spreads etc offered on them, though. They can be kinda icky. Now listen, I am serious … don’t be a dick. Don’t rush out next week trying to retire by the weekend. What I am showing you is the EXTRA rewards that come with being able to produce good solid results and being able to section off some money for high risk “all or nothing” attempts; using your proven strategies. I am not saying anyone can open 6 trades and make $11,000 … that is rather improbable. What I am saying is once you can get the strategy side right, and you can know your numbers; then you can use the numbers to see where the limits actually are, how fast your strategy can really go. This CKC concept is not intended to inspire you to be reckless in trading, it is intended to inspire you to put focus on learning the core skills I am telling you that are behind being able to do this.
I was going through old emails today and came across this one I sent out to family on January 4, 2018. It was a reflection on the 2017 crypto bull market and where I saw it heading, as well as some general advice on crypto, investment, and being safe about how you handle yourself in cryptoland. I feel that we are on the cusp of a new bull market right now, so I thought that I would put this out for at least a few people to see *before* the next bull run, not after. While the details have changed, I don't see a thing in this email that I fundamentally wouldn't say again, although I'd also probably insist that people get a Yubikey and use that for all 2FA where it is supported. Happy reading, and sorry for some of the formatting weirdness -- I cleaned it up pretty well from the original email formatting, but I love lists and indents and Reddit has limitations... :-/ Also, don't laught at my token picks from January 2018! It was a long time ago and (luckliy) I took my own advice about moving a bunch into USD shortly after I sent this. I didn't hit the top, and I came back in too early in the summer of 2018, but I got lucky in many respects. ----------------------------------------------------------------------- Jan-4, 2018 Hey all! I woke up this morning to ETH at a solid $1000 and decided to put some thoughts together on what I think crypto has done and what I think it will do. *******, if you could share this to your kids I’d appreciate it -- I don’t have e-mail addresses, and it’s a bit unwieldy for FB Messenger… Hopefully they’ll at least find it thought-provoking. If not, they can use it as further evidence that I’m a nutjob. 😉 Some history before I head into the future. I first mined some BTC in 2011 or 2012 (Can’t remember exactly, but it was around the Christmas holidays when I started because I had time off from work to get it set up and running.) I kept it up through the start of summer in 2012, but stopped because it made my PC run hot and as it was no longer winter, ********** didn’t appreciate the sound of the fans blowing that hot air into the room any more. I’ve always said that the first BTC I mined was at $1, but looking back at it now, that’s not true – It was around $2. Here’s a link to BTC price history. In the summer of 2013 I got a new PC and moved my programs and files over before scrapping the old one. I hadn’t touched my BTC mining folder for a year then, and I didn’t even think about salvaging those wallet files. They are now gone forever, including the 9-10BTC that were in them. While I can intellectually justify the loss, it was sloppy and underlines a key thing about cryptocurrency that I believe will limit its widespread adoption by the general public until it is addressed and solved: In cryptoland, you are your own bank, and if you lose your password or account number, there is no person or organization that can help you reset it so that you can get access back. Your money is gone forever. On April 12, 2014 I bought my first BTC through Coinbase. BTC had spiked to $1000 and been in the news, at least in Japan. This made me remember my old wallet and freak out for a couple of months trying to find it and reclaim the coins. I then FOMO’d (Fear Of Missing Out”) and bought $100 worth of BTC. I was actually very lucky in my timing and bought at around $430. Even so, except for a brief 50% swing up almost immediately afterwards that made me check prices 5 times a day, BTC fell below my purchase price by the end of September and I didn’t get back to even until the end of 2015. In May 2015 I bought my first ETH at around $1. I sent some guy on bitcointalk ~$100 worth of BTC and he sent me 100 ETH – all on trust because the amounts were small and this was a small group of people. BTC was down in the $250 range at that point, so I had lost 30-40% of my initial investment. This was of the $100 invested, so not that much in real terms, but huge in percentages. It also meant that I had to buy another $100 of BTC on Coinbase to send to this guy. A few months after I purchased my ETH, BTC had doubled and ETH had gone down to $0.50, halving the value of my ETH holdings. I was even on the first BTC purchase finally, but was now down 50% on the ETH I had bought. The good news was that this made me start to look at things more seriously. Where I had skimmed white papers and gotten a superficial understanding of the technology before FOMO’ing, I started to act as an investor, not a speculator. Let me define how I see those two different types of activity:
Investors buy because the price is less than the value they see in the investment. Speculators buy because they think that someone will pay more in the future than they are paying now.
Investors trade on information (The white paper was really well-written, had a clear technical advantage over other alternatives, and addresses a need that I can understand and value.) Speculators trade on sentiment. (Buy the rumor! Sell the news!)
Investors usually look at the investment and themselves and can describe why they purchase in those terms (ABC-Coin provides (service) that isn’t addressed yet and matches (requirements) for an investment.) Speculators usually describe why they bought something in terms of how other people think (I think that other people think that the price will rise, so I want to get ahead of that.)
Investors don’t necessarily check the price every day. The can, and very often I do, but it isn’t required because fundamentals don’t often change on a dime. Speculators need to be glued to a price feed, because sentiment very often changes on a dime.
Investors like ideas, people, business plans, and market opportunities. Good ones are like Spock. Speculators like trends. They are tribal.
Investors have a longer time horizon than speculators. In cryptoland, the notion of a “longer” time horizon is still laughably small (months) compared to traditional markets, but it certainly isn’t weeks or days or hours, which is whre speculators often live.
So what has been my experience as an investor? After sitting out the rest of 2015 because I needed to understand the market better, I bought into ETH quite heavily, with my initial big purchases being in March-April of 2016. Those purchases were in the $11-$14 range. ETH, of course, dropped immediately to under $10, then came back and bounced around my purchase range for a while until December of 2016, when I purchased a lot more at around $8. I also purchased my first ICO in August of 2016, HEAT. I bought 25ETH worth. Those tokens are now worth about half of their ICO price, so about 12.5ETH or $12500 instead of the $25000 they would be worth if I had just kept ETH. There are some other things with HEAT that mean I’ve done quite a bit better than those numbers would suggest, but the fact is that the single best thing I could have done is to hold ETH and not spend the effort/time/cost of working with HEAT. That holds true for about every top-25 token on the market when compared to ETH. It certainly holds true for the many, many tokens I tried to trade in Q1-Q2 of 2017. In almost every single case I would have done better and slept better had I just held ETH instead of trying to be smarter than Mr. Market. But, I made money on all of them except one because the crypto market went up more in USD terms than any individual coin went down in ETH or BTC terms. This underlines something that I read somewhere and that I take to heart: A rising market makes everyone seem like a genius. A monkey throwing darts at a list of the top 100 cryptocurrencies last year would have doubled his money. Here’s a chart from September that shows 2017 year-to-date returns for the top 10 cryptocurrencies, and all of them went up a *lot* more between then and December. A monkey throwing darts at this list there would have quintupled his money. When evaluating performance, then, you have to beat the monkey, and preferably you should try to beat a Wall Street monkey. I couldn’t, so I stopped trying around July 2017. My benchmark was the BLX, a DAA (Digital Asset Array – think fund like a Fidelity fund) created by ICONOMI. I wasn’t even close to beating the BLX returns, so I did several things.
I went from holding about 25 different tokens to holding 10 now. More on that in a bit.
I used those funds to buy ETH and BLX. ETH has done crazy-good since then and BLX has beaten BTC handily, although it hasn’t done as well as ETH.
I used some of those funds to set up an arbitrage operation.
The arbitrage operation is why I kept the 11 tokens that I have now. All but a couple are used in an ETH/token pair for arbitrage, and each one of them except for one special case is part of BLX. Why did I do that? I did that because ICONOMI did a better job of picking long-term holds than I did, and in arbitrage the only speculative thing you must do is pick the pairs to trade. My pairs are (No particular order):
I also hold PLU, PLBT, and ART. These two are multi-year holds for me. I have not purchased BTC once since my initial $200, except for a few cases where BTC was the only way to go to/from an altcoin that didn’t trade against ETH yet. Right now I hold about the same 0.3BTC that I held after my first $100 purchase, so I don’t really count it. Looking forward to this year, I am positioning myself as follows:
ETH will still be my core holding. It is the “deepest in the stack” crypto investment that I have. “Deep in the stack” is a programming term that gets at the idea that most software is built on other software. If you just think about your notebook, you have your OS, and programs run on that. But even inside the OS there is a stack. The bottom of your stack is the kernel, and on top of that are the drivers, protocols, and other layers that allow the programs to talk to the OS, the hard drive, the screen, the mouse, your printer, etc. You can change your mouse or printer easily. Changing things deeper in the stack becomes harder and harder. ETH is deep in the crypto stack, so is very hard to dislodge – Around 60 of the top 100 cryptocurrencies by market cap run on top of Ethereum, so getting rid of Ethereum is something that would take a long time to do.
DNT, QTUM, ZRX, and OMG are all, to varying degrees, “deep in the stack” tokens that, once established, will be very hard to dislodge.
That said, I am peeling away some of my holdings into USD right now, because big changes are afoot and they are going to cause market disruptions. I’m going to come right out and admit that this is speculative, but I’m also going to back it up with some non-speculative facts.
The SEC has been sending out hundreds of subpoenas to cryptocurrency organizations over the past 3-4 months. These subpoenas are simply asking for information and nobody has been charged with any crimes or misdoings, but it is clear that the SEC is getting together information so that they can begin to regulate cryptoland. When that happens, other countries will follow, and that means:
Some tokens will be deemed outright scams and people will be prosecuted.
Some tokens will be deemed securities and will be regulated.
Some tokens will not be deemed scams or securities and will continue as they have.
Looking at this, it is clear to me that the tokens that escape prosecution and regulation should do better, but the short-term impact will be brutal and ugly. It would not surprise me at all to see a 50% drop in overall market cap within Q1-Q2, with Q1 being more likely.
Cryptoland has always been a bit nuts, but it is more nuts now than I have ever seen it. Back in 2011-2014 it was a freaks-n-geeks show where people were all about the technology and I would sit around for a 3-day weekend installing a *nix VM on my Windows machine so that I could compile the most recent source and run a CUDA SHA-256 routine rather than thrash my CPU. If that doesn’t make sense to you, you wouldn’t have even thought about being involved.
Now, people see Bitcoin advertisements in their Facebook feed and think “I gotta get on the BTC train!” before going to Coinbase and buying some with a credit card. They don’t know anything about crypto, and they are getting eaten alive – It is no coincidence that BTC peaked after the Thanksgiving holidays when people sat around the table and Janice got Uncle Mike and Cousin Bob all excited as she talked about going to Cancun for Christmas because of her crypto winnings. Huge amounts of fiat got transferred from newbies to BTC whales during this period, and once the whales were done, BTC had dropped from $20,000 to $12,000. It’s now back at $15,000, but for people who bought at a higher level, this sucks. As a result many have moved from BTC to ETH, with the single biggest money flow in crypto in December being the BTC à ETH flow. As a result, it’s no coincidence that ETH is at all-time highs now. The thing is, though, that even most people that moved from BTC to ETH really have no idea what they are doing. They are acting on buzzwords and emotion. They are speculators and are going to get crushed.
The stock market is quite high right now, but people are starting to worry that it is too high and that we are going to enter into a period of inflation again. This has caused gold to go up a lot the last quarter and is likely also responsible a bit for the rise in cryptos. If this view is correct, then cryptos stay stronger than if that pressure wasn’t there. If wrong, then cryptos will swing down as money exits cryptoland for more traditional markets.
I am spending most of my time and money on the arbitrage effort. The nice thing about arbitrage is that it works as the markets go up, and it works as the markets go down. When markets are too volatile, however, arbitrage can get very messy and dangerous, with each trade generating a loss instead of a profit, so I am working right now to tune the algorithms to take into account rate-of-change and add in some circuit breaker triggers. Once this is done I will expand those operations.
I am getting much more serious about systems security.
I have a Nano Ledger and recommend that anyone with >$1000 of crypto have one. The Trezor is also supposed to be good, but I haven’t used it.
I will set up a dedicated *nix notebook that is used for nothing except my crypto work. All it takes is one keylogger to get on your PC/Mac and your crypto is gone. What is on your Nano Ledger will be OK, but they will sweep out your exchange account or Coinbase account faster than you can type. A standard Linux installation with Chrome and nothing else is as about as secure as you can get in the civilian world.
If you don’t use LastPass or a similar password manager yet, you need to do that. Your password to LastPass should be at least 16 characters long and should not have a recognizable English word in it. If you think that “Iluvu4evah” is a secure password, you’re wrong.
Hackers know that “4”=”for” and “u”=”you”. Writing a script to substitute those in is trivial if they want to write the script, but it’s much easier for them to download one of the many, many programs out there that already do this.
If your password contains any string of numbers from anything that can be associated with you at any time in your life, it is insecure. Take those numbers out of the character count because they are an insignificant barrier to cracking your account.
The good news is that you probably won’t be targeted, but if you ever mention online that you are doing anything significant in crypto, that chance increased enormously.
*Never* talk with *anyone* about how much you have in crypto. You’ll notice that I haven’t here. There is no reason to tell even a family member how much you have unless you are sharing a tax form. Sure, you may trust them, but all it takes if for someone to overhead someone else mention at a party that a relative got into crypto a long time ago and made a bunch of money. That person can also then be subjected to the $10 hack and force you to send all your crypto to them.
Your password to LastPass (Or equivalent.) should look something like this -> 6k0jQMoziX&D#4W8
Yes, it’s a headache. Imagine your headache, though, were you to open your account one day and find all of your money gone.
Looking at my notes, I have two other things that I wanted to work into this email that I didn’t get to, so here they are:
Just like with free apps and other software, if you are getting something of value and you didn’t pay anything for it, you need to ask why this is. With apps, the phrase is “If you didn’t pay for the product, you are the product”, and this works for things such as pump groups, tips, and even technical analysis. Here’s how I see it.
Technical analysis (TA) is something that has been argued about for longer than I’ve been alive, but I think that it falls into the same boat. In short, TA argues that there are patterns in trading that can be read and acted upon to signal when one must buy or sell. It has been used forever in the stock and foreign exchange markets, and people use it in crypto as well. Let’s break down these assumptions a bit.
i. First, if crypto were like the stock or forex markets we’d all be happy with 5-7% gains per year rather than easily seeing that in a day. For TA to work the same way in crypto as it does in stocks and foreign exchange, the signals would have to be *much* stronger and faster-reacting than they work in the traditional market, but people use them in exactly the same way. ii. Another area where crypto is very different than the stock and forex markets centers around market efficiency theory. This theory says that markets are efficient and that the price reflects all the available information at any given time. This is why gold in New York is similar in price to gold in London or Shanghai, and why arbitrage margins are easily <0.1% in those markets compared to cryptoland where I can easily get 10x that. Crypto simply has too much speculation and not enough professional traders in it yet to operate as an efficient market. That fundamentally changes the way that the market behaves and should make any TA patterns from traditional markets irrelevant in crypto. iii. There are services, both free and paid that claim to put out signals based on TA for when one should buy and sell. If you think for even a second that they are not front-running (Placing orders ahead of yours to profit.) you and the other people using the service, you’re naïve. iv. Likewise, if you don’t think that there are people that have but together computerized systems to get ahead of people doing manual TA, you’re naïve. The guys that I have programming my arbitrage bots have offered to build me a TA bot and set up a service to sell signals once our position is taken. I said no, but I am sure that they will do it themselves or sell that to someone else. Basically they look at TA as a tip machine where when a certain pattern is seen, people act on that “tip”. They use software to see that “tip” faster and take a position on it so that when slower participants come in they either have to sell lower or buy higher than the TA bot did. Remember, if you are getting a tip for free, you’re the product. In TA I see a system when people are all acting on free preset “tips” and getting played by the more sophisticated market participants. Again, you have to beat that Wall Street monkey.
If you still don’t agree that TA is bogus, think about it this way: If TA was real, Wall Street would have figured it out decades ago and we would have TA funds that would be beating the market. We don’t.
If you still don’t agree that TA is bogus and that its real and well, proven, then you must think that all smart traders use them. Now follow that logic forward and think about what would happen if every smart trader pushing big money followed TA. The signals would only last for a split second and would then be overwhelmed by people acting on them, making them impossible to leverage. This is essentially what the efficient market theory postulates for all information, including TA.
OK, the one last item. Read this weekly newsletter – You can sign up at the bottom. It is free, so they’re selling something, right? 😉 From what I can tell, though, Evan is a straight-up guy who posts links and almost zero editorial comments. Happy 2018.
Forex.com Leverage and Margin Requirements. Forex.com allows access to leverage trading on several markets, including: Foreign Exchange – 84 currency pairs traded with spreads of as low as 0.8 pips on majors. Margin requirements depend on the Forex pair and the base account currency chosen by clients. For instance, the required margin on EUR/GBP for clients with CAD-based accounts is 6% ... FOREX.com is a trading name of GAIN Capital UK Limited. GAIN Capital UK Ltd is a company incorporated in England and Wales with UK Companies House number 1761813 and with its registered office at Devon House, 58 St Katharine’s Way, London, E1W 1JP. GAIN Capital UK Ltd is authorised and regulated by the Financial Conduct Authority in the UK, with FCA Register Number 113942. GAIN Capital UK ... Equally, lower margin requirements mean more money in your account to use for other trades. The higher the leverage used, the smaller your margin will be. It’s important to note that no matter the leverage, the margin requirement can vary significantly depending on which currency pair you are trading. This is because margin is always calculated in the base currency and then converted to your ... What’s the impact of the one-year extension to the Uncleared Margin Requirements? by Jo Burnham. July 23, 2019 . So, the expected announcement was made and the Basel Committee and IOSCO announced a one year extension to UMR Phase V – except, of course, it isn’t as simple as that. What we now have, in effect, is a Phase Va and a Phase Vb – and even more confusion over when people are ... In forex markets, 1% margin is not unusual, which means that traders can control $100,000 of currency with $1,000. Margin accounts are offered by brokerage firms to investors and updated as the ... If your margin closeout value is less than your regulatory margin used, you will receive a margin call alert by email. Margin call alert emails are sent at 3:45 p.m. (EDT) daily. Margin call emails will only be sent out if your account falls below the regulatory value. You can avoid margin closeouts by reducing the amount of margin you are ... Margin requirements for markets other than listed above can be found in Contract Specifications by selecting the needed instrument in the lookup menu. The stop-out level is the level at which the loss from the open position will be so great that the position will be closed automatically. Stop-out is activated when the current account balance ... Forex trading on margin accounts is the most common form of retail forex trading. This article explains what ‘margin’ is, shows a margin calculator or ‘formula’ and how to use this free margin safely. Understanding margin requirements, and how leverage levels affect it, is a key part of trading forex successfully. Margin Definition. In the trading world, a margin account involves ... What Forex Margin Requirements Mean to Traders Choosing the best forex broker is critical to trading currencies. You need 2 currencies to trade, and you can find upward of 80 different pairs with ... The widget supports calculation of these margins for numerous currency pairs, Forex metals, and commodity, index, and stock CFDs. Note that some instruments have higher margin requirements (or lower available leverage) than others due to specific trading conditions. Special requirements are also imposed on weekends and other off-market days.
Get complete course at: https://profile-trading.com/product/volume-spread-analyze-professional-course/ Profile Trading Official Page: www.fb.com/profiletradi... Broker I recommend: No EU Clients - https://bit.ly/Non-EU-Clients EU Clients - https://bit.ly/EU-Clients My Website: https://www.rafalzuchowicz.com/ Contact:... How to calculate viable trade sizes based on the Leverage traded with and the account size Understanding forex leverage, margin requirements and sizing trades for successful trading. Lower Margins from June, My Biggest Mistake, Option vs Spot Price.. # ... New Margin Requirements for Options and Futures - Duration: 7:59. MP Wizards 15,919 views. 7:59. New Margin Rule , What ... Get more information about IG US by visiting their website: https://www.ig.com/us/future-of-forex Get my trading strategies here: https://www.robbooker.com C... Hello Viewers in this video i have tried to explain the lower margin requirements which we need when we apply bear put spread, hedging strategy. The objectiv...