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Forex Trading Strategies Reddit: What you need to know to start Forex trading.

Forex Trading Strategies Reddit: What you need to know to start Forex trading.

FOREX Strategies

What are FOREX Strategies?
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You may have noticed that most of people confuse the terminology and refer to FOREX Strategies in the wrong way. There are methodologies, systems, strategies, and techniques. The most effective methodology is Price Language (Trend Tracking). Combined with a correct reading of mass psychology presented by the charts.
We know that in the Stock Markets there are thousands of strategies. FOREX, like the rest of the markets, presents you with the opportunity to apply similar strategies to win consistently. Taking advantage of repetitive psychological patterns.
First, the Price Language methodology has created great fortunes in FOREX, and the next fortune may be yours. But this methodology must be implemented within a framework of advanced concepts of Markets. Without forgetting the basics. And working hard day by day.
Second, a strategy is a set of parameters and techniques that together give you the advantage to act in any situation. Thus for example in war, generals have attack strategies and counterattack strategies.
FOREX strategies alike are entry strategies and exit strategies. All beginners should know these FOREX strategies for beginners. That way you will get a general idea of ​​the game and understand that trading is a war against the Market and its Specialists. Only applying FOREX strategies revealed by the same Specialists and using their own techniques,
... you can survive in this war.
Do not fall into the trap of the many "systems" and "methods" that are offered on the internet about operating in the FOREX Market. They just don't work in the long run. They are strategies based on indicators for the most part. Using rigid parameters. That if they can work and give profitability during a certain period of time, they will always reach a breaking point when the market changes its dynamics.
Instead, take advantage of your precious time and learn the Language of Price or Price Action.
The Language methodology will allow you to adapt to each new phase of the Market. If you combine this knowledge with the appropriate psychological concepts, you can live comfortably from speculation in FOREX.

Forex Trading Strategies Reddit - Basic FOREX Strategies

You have two basic FOREX strategies, one entry, and one exit. Both follow a general strategy that helps you capitalize on the collective behaviors of the Market. That is, of the total of participating speculators.
This behavior causes the formation of cycles that repeat over and over again. Driven by the basic emotions (uncertainty, greed, and panic) of the speculators involved that can be taken advantage of with the aforementioned FOREX strategies. Specialists identify these emotions in the order flow and capitalize on these events every hour, every day, and every month.
Basic FOREX Strategies - The Price Cycle
These repetitive cycles consist of 4 phases:
  1. Accumulation
  2. Upward trend
  3. Distribution
  4. Downward trend
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The two trends can be easily identified by their notorious breakdown. And the two areas of uncertainty (accumulation and distribution), due to their notorious range trajectories.
This general behavior determines the core of our FOREX strategies.
You buy when the price of a pair has broken and has come out of one of its congestion formations (accumulation or distribution). You implement one of the Forex strategies, in this case, the entry one.
The multi-time technique will help you find the point of least risk when entering your initial buy or sell order. In the same way and using the same strategy but this time to close your position, the multiple timing technique will also show you how to close your operation obtaining the highest possible profit.
The most consistent way to extract profits in the market is by trading the start of trends within a cycle . Once confirmed by their respective breaks from the areas of uncertainty. This is the mother of all FOREX strategies . And in a market that operates 24 hours, we have more frequent cycles and therefore more opportunities.

Forex Trading Strategies Reddit - Advanced Forex Strategies

There are many advanced FOREX strategies that are generally used by professional speculators working for large financial firms.
Among these firms are banks, Investment Fund managers and Hedge Fund managers. The latter is an investment modality similar to Investment Funds, with the difference that Hedge Funds use more complex investment strategies. Its operations are more oriented to aggressive speculations in the short and medium-term.
Among the most common strategies is hedging (hedging), carry trade, automated systems based on quantum mathematics. And a large number of combinations between the different option strategies.

The Carry Trade

The central idea of ​​Carry Trade is to buy a pair in which the base currency has a considerably higher interest rate than the quoted currency. To earn the difference in rates regardless of whether the price of the pair rises or falls.
Suppose we buy a $ 100,000 lot of AUDJPY, which according to the rates on the chart would turn out to be the ideal instrument in this example to use the Forex carry trade strategy.
As our capital is in US dollars we have to assume for our example, the following quotes necessary to perform the place calculations:
AUD / JPY = 80.00 USD / JPY = 85.00
What happens internally in your broker is this.
  1. By placing as collateral $ 1,000 of your $ 50,000 of capital (assumed for this example), deposited in your account, you have access to $ 100,000 virtual (this is what is known as leverage); that is, you put in $ 1,000 and your broker lends you 99,000.
  2. With those $ 100,000 virtual dollars, your broker borrows on your behalf ¥ 8,500,000 Japanese yen (85 × 100,000) at 0.1% annual interest from a Japanese bank.
  3. With those ¥ 8,500,000 Japanese yen, your broker buys A $ 106,250 Australian dollars (8,500,000 / 80) and deposits it in an Australian bank where it receives 4.5% annual interest on your behalf.
  4. One year later (and regardless of the profit or loss generated by the pair's movement), your profit will be the difference between the AUD rate and the JPY rate, that is:
Profit = (AUD rate) - (JPY rate) - (costs of the 2 currency exchanges) Profit = (4.5%) - (0.1%) - (0.1% to 1%)
The great advantage of carry trade FOREX strategies is that this percentage profit is applied to the $ 100,000 of the standard lot; the broker transfers all of the profit to you, even if you only contributed $ 1,000. On the other hand, if you carry out the inverse of this operation, this benefit of the Forex carry trade becomes a cost (swap), and you assume it completely.
Remember that FOREX carry trade strategies are recommended for pairs with considerable interest rate differences, such as the one we have just seen in our example.
These FOREX strategies should also not be used in isolation. The idea is that through technical analysis you identify when would be the ideal time to enter the market using your carry trade Forex strategy and multiply your profits considerably.

What FOREX Strategies Do Hedge Funds Use?

The FOREX strategies used by large fund managers do not constitute an advantage in terms of percentage results for them, nor do they constitute a competitive disadvantage for you.
The vast majority of them fail because of their big egos. In fact, there was a firm made up of great financial geniuses, including 2 winners of the Nobel Prize in Economics, who developed a strategy based on quantum mathematical calculations.
With an initial base capital of about 3 billion dollars, and after 3 successful years obtaining annual returns of over 40%, the firm Long-Term Capital Management, begins its fourth year with losses. To counteract these losses the geniuses decide to multiply the initial capital several times, while the losses continued.
The year closed with the bankruptcy of the fund, and with a total accumulated loss of 1 trillion dollars, due to the great leverage used. And all for not admitting that the FOREX Strategies of Long Term Capital Management were not in line with the dynamics of the Market.
There are an overwhelming number of opportunities in the stock markets to make money interpreting the Language of Price.
You don't need to use complex "advanced" strategies that have been created to handle hundreds or billions of dollars.
The reasons for using these FOREX strategies are very different from what a "retail trader" pursues with his small speculation business.
As you can see, you should not worry about wanting to integrate any of these advanced strategies into your arsenal. They are only beneficial for managing hundreds or billions of dollars, where the return parameters are very different when you handle small amounts of capital.
Do not worry about collecting hundreds of free FOREX strategies that circulate on the internet, that great accumulation of mediocre information will only serve to confuse you and waste your valuable time.
Spend that time learning Price Action,
… And you will always be one step behind the Specialists, identifying each new Market condition, and anticipating the vast majority of reversals of all prices.
Ironically, the most successful fund managers indicate that their most profitable trades are those based on the basic trend-following strategies of the Price Language. The same ones that you will learn in this Free Course.
Dedicate yourself to perfecting them and believe me you won't need anything else. As long as you have good risk management, taking into consideration the following points ...

Styles of Investments in FOREX

The Investment FOREX long term is not recommended for small investors like you and me. If we take into account the term investing literally as large investors do who buy a financial product today to sell it years later.
We both have a better niche in the short and medium-term.
You may have noticed that the big multi-year trends in the Forex Market do exist. But minor swings within a big trend are usually very wide.
These minor movements allow us to easily double and triple the annual return of the big general trend, motivating most traders to speculate in the short and medium-term.
These minor oscillations or trends that occur within the large multi-year trends owe their occurrence mainly to two reasons.
First, the FOREX Market presents 3 sessions a day each in different cities of the world with different time zones (Asia, Europe, and America). This causes more frequent trend changes than in the rest of the stock markets.
Second, the purpose for which it was created also plays a role. The modern Foreign Exchange Market, since its inception in 1972, was conceived by the global financial system as a tool for speculation. To obtain benefits in the short and medium-term (from several days to 1 year).
These two points are basically the reasons why we observe the immense speed with which the FOREX market changes trends.
For example, for those who live in America, in the early morning (Europe) the EURUSD pair may be on the rise, in the morning or afternoon (America) it may be down, and then finally at night (Asia) it may return to the rise.

Define your Own Style for your FOREX Investments

One of the first decisions you will have to make is to choose your style as a trader or investor.
There are 4 types of well-defined styles.
Most professional traders tend to have multiple styles, although they always identify with one primary style for their FOREX investments. Study the characteristics of the 4 main styles to make your investments in FOREX :
1. Long Term: recommended for anyone who is going to enter the market for the first time and who can dedicate a minimum of one hour per month to their investments in Forex. The period of an open position ranges from 1 year to 5 years.
2. Medium Term: recommended for anyone who is going to enter the market for the first time and who can dedicate a minimum of one hour per week to their investments in Forex. The period of an open position ranges from 1 month to 1 year.
3. Short Term: recommended for anyone who is going to enter the market for the first time, or who already has a certain time operating in the long and medium-term, showing constant profits, and who can dedicate a minimum of one hour per day to your investments in FOREX. The period of an open position ranges from 1 day to 1 month.
4. Intraday : recommended only for people with a fairly solid earnings record in the short term, and with a capital greater than $ 50,000. As we have noted, this option constitutes a full-time job.
People who start investing in FOREX , should start executing short-term (weeks) and medium-term (months) transactions only, and not pay attention to intraday oscillations (day trading).
If you are interested in being an intraday speculator, I recommend that you first exhaust at least a year doing operations in the short and medium-term to assimilate the correct strategies and to develop the necessary mentality to carry out this work.
The second option would be to participate in some kind of intensive training.
I remind you that self-educating is almost impossible in speculation. You are likely to accumulate a lot of knowledge by reading books and attending courses. But you will probably never learn to make money with all the incomplete "systems" circulating on the internet.

Mistakes to Avoid When Looking for Your Style

Many people who are new to FOREX investments make the mistake of combining these styles, which is a key to failure.
I recommend that if you are not getting the results you expected by adopting one of these styles, do not try to change it. The problem sure is not in the style, but in your strategies or in your psychology.
A successful investor is able to make a profit in any longer trading time than he is used to. I explain. If you are already a profitable operator in the short term, it is very likely that you will also be profitable in the medium and long term,
… As long as you can interpret the Language of Price or Price Action.
In the opposite case, the same would not happen. If you were a medium-term trader, you would need time to adjust to the intraday. The reality is that long, medium and short term traders have very similar personalities. The intraday trader is completely different.

The Myth of the Intraday in Investments in FOREX

If you are already successful in the short, medium and long term, you will notice that the sacrifice and the hours necessary in front of the computer to operate intraday is much greater. The intraday style will be useful to increase your account if it is less than USD $ 100,000 in a very short time in exchange for 8 to 12 hours a day of hard work but ...
You must first develop the necessary skills to operate the intraday.
The ideal is to combine all the styles to get more out of the Market and carry out more effective transactions and have a diversification in your investments in FOREX.
There are intraday traders that are very successful, but the reality is that there are very few in the world that make a profit year after year. If you want to become an intraday, you just have to prepare yourself properly through intensive training.
Otherwise, I recommend that you don't even think about educating yourself to adopt the intraday style. It is not necessary to go against a probability of failure greater than 99%. Unless
... your ego is greater than your common sense.
The main reason why this style of investments in FOREX is not recommended for the vast majority of us "retail investors" (the official term "retail traders"), is the high operational cost.
The real commissions in this market range between $ 2.0 and $ 2.50 for each lot of 100,000 virtual units. This means that a complete operation (opening and closing) is approximately $ 5.00, for each standard lot traded ($ 100,000 virtual).
Another fundamental reason is the advent of robotic traders (HFT = High-Frequency Trading), which tend to manipulate the market in the shorter intraday swings. Please do not confuse HFTs with automated systems that we find daily on the internet, and that can be purchased for a few hundred dollars and often for free on FOREX forums / groups.
These HFTs to which I refer, they are effective. They cost millions of dollars and have been developed by the large Wall Street financial firms to manage their investments in FOREX.
The reality of the intraday trader is that you execute orders for large lots at the same time, to profit from the smallest movements in the market. It is an activity based on reflexes. The slightest oversight or distraction can turn into a catastrophe for your FOREX investments.
I recommend that you start investing in FOREX using slow time periods such as H4 or Daily. For some reason, all Goldman Sachs intraday FOREX investments are made with algorithms.

Finally…

To choose your style as a trader and manage your investments in FOREX, first determine what your degree of experience is, analyze the points mentioned below and the rest you will discover when you execute your first operations.
The points that will affect your decision are:
  • Capital
  • Time available each day
  • Level of Experience
  • Personality
Discovering your style is a search process. For some it will be a long way to find the right time frame that matches their personality. Don't be put off by the falls. After all, those who continue the path despite the falls are the ones who reach the destination.
And I hope you are one of those who get up over and over again. The next lesson will boost your confidence when you discover the main reason that moves currencies ...

Fundamental Analysis in Forex Trading Reddit

The fundamental analysis in Forex is used mostly by long-term investors. Players as we saw in the styles of operators, start a negotiation today, to close it years later.
I always emphasize the importance that the mass media give to this type of analysis to distract the great mass of participants.
It is all part of a great mass psychological manipulation. For centuries the ignorance of the masses has been organized before the great movements begin.
The important news are the macroeconomic reports published by the Central Banks and other government agencies destined for this work. All reports are made up. 99% of them are corrected months later.
These events are tools to justify fundamental analysis and price cleaning movements. Any silly headline does the job. With this, it is possible to absorb most of the existing liquidity, before the new trend phase is projected.

Reaction!

Except in rare situations, the result of an economic report of the fundamental analysis is generally already assimilated in the graph. In most cases, there are financial institutions that already have access to this information and are organizing and carrying out their operations in advance.
The phrase buy the rumor and sell the news is a very old adage on Wall Street. And its meaning contains what we have just explained. For the investor who can interpret the Language of Price, fundamental analysis is of little importance. Well, in general, their disclosure does not indicate that you have to take any action in your open trades , as long as your entry strategy provides you with a good support cushion.
This reality of fundamental analysis causes a lot of confusion for investors who lack in-depth knowledge of the forex market.

Macroeconomic Data

The data published in these events is irrelevant. Both for speculators and for the people in general. They are false. They lack reliability.
The price can go up or down with the same result of the data. The main ones are:
- Interest Rates - GDP (gross domestic product) - CPI (inflation) - ISM (manufacturing index) - NFP (payroll) - Double Deficits (deficit = fiscal + balance of payments)
If you are initiated, I recommend you avoid operating near these events. It is only a matter of having the time pending. Use the economic calendar for Fundamental Analysis of Forex Factory.
There is a probabilistic advantage in operating these fundamental analysis events. But it takes preparation, experience, and practice. They represent a way of diversifying in the general operation of a speculator.

The Uncertainty of Fundamental Analysis

On many occasions after the disclosure of an economic report, the price movement of the currency pair that is going to be affected tends to move in the opposite direction to the logic of the report.
I show you an example of a fundamental analysis report. Imagine that the EUR / USD pair is trading at 1.2500, and the FED (US Federal Reserve) issues a statement announcing that it has just raised inter-bank interest rates from 0.25 points to 0.75 points. Very positive news for the US dollar that logically implies an appreciation of the currency and consequently an instantaneous collapse of the EUR / USD pair (up the dollar and down the euro)
However, minutes after the release of said fundamental analysis report, the pair after effectively collapsing to 1.2400, returns and returns to its levels prior to the report (1.2500). This situation is very common , but it is not so easy to identify it when it is occurring, but after the damage is done.
Traps like these devour the accounts of beginners who approach the market with little experience, with weak strategies, and especially with very little experience.
That is why I reiterate that you forget the fundamental analysis for now. Just keep in mind when operating, that there is no publication scheduled nearby. Just check the economic calendar for the day and forget about the numbers. Let the economists mess around with the data.

FOREX Market Correlation

The Forex market correlation exists between pairs with similar "base" currencies and not always under the same circumstances. The correlation in the Forex market that is most followed and that has the greatest impact on fundamental analysis is that of the US dollar (USD).
The USD is the most traded monetary unit with a volume greater than 80% with respect to the rest of the currencies. This fact determines why their correlation is the most important, the most followed, and perhaps the only one worth following in the fundamental macro analysis.
The 7 major pairs are usually in sync . These 7 pairs all include the USD and present a fundamental analysis correlation almost 75% of the time. Influencing the rest of the currency pairs.

Advantages of the FOREX Market Correlation

In the fundamental analysis the most basic FOREX correlation is the following. When the USD appreciates, the USD / CAD, USD / CHF, and USD / JPY pairs tend to go up in price. This indicates that the Canadian dollar (CAD), the Swiss franc (CHF), and the Japanese yen (JPY) are losing value against the USD.
We must bear in mind that this correlation does not occur 100% of the time. In fact, the JPY generally tends to move in the opposite direction , since in recent decades this currency has been used as a source of financing to invest in other financial instruments.
On the other side is the FOREX market correlation that generates a movement almost in unison in the other 4 major pairs EUR / USD, GBP / USD, AUD / USD, and NZD / USD. These tend to fall in price, homologous the appreciation of the USD. But not always.
In this case the fundamental analysis correlation works most of the time, between 65 and 85% of the time. Small differences are noted in the extent that each of these pairs experiences.
There is also a correlation in the secondary FOREX market, where the pairs of all currencies that do not include the USD participate, but I recommend you not to waste time on them for now. There are more important things about the Language of Price to know first.

FOREX Commodity Correlation

In this part I will explain to you in a basic way the Correlation Commodities - FOREX of the fundamental analysis.
There are three currencies that have a direct correlation with commodities. They are usually called: "COMDOLLS" which is short for "Commodities Dollars" (Commodities Dollars), since all three obey the dollar denomination. These are:
- The New Zealand Dollar (NZD) - The Australian Dollar (AUD) - The Canadian Dollar (CAD)
These three currencies make up the group of the 8 largest together with the euro, the pound, the yen, the franc and the US dollar. Together, they merge to produce the major pairs traded in the FOREX Foreign Exchange Market.
The FOREX Commodity Correlation has an affinity in most cases greater than 75%. And each of them has its different raw material of correlation. You will notice that the NZD and the AUD are two currencies that act practically in unison. Both present minimal discrepancies in their fluctuations in the short, medium and long term.
This is mainly because their economies are very similar and their economic and fiscal policies are too. Their main production items also show great similarities, despite the fact that the Australian economy is much larger than the New Zealand economy.
The raw materials that follow the movement of the AUD are mainly gold and copper. If you put the history of these three quotes during the last decade of the year 2,000 together on the same chart, you will notice a very similar upward movement between the three quotes. Pure correlation of fundamental analysis.
This strong correlation with commodities in the metals area for the AUD has provided Australia with an economic advantage enviable over the other major powers that have seen their currencies devalue sharply against the AUD. At the same time, they experience a constant decrease in the purchasing power of their citizens.
The NZD maintains a correlation with raw materials related to agriculture and livestock, mainly including milk and its derivatives. It is one of the countries that dominates the world export of these economic items, and also has important exports of metals , although in smaller quantities than Australia.
Finally, you have a correlation with raw materials in the energy area. For historical reasons the CAD, which is not the largest oil producer in the world, but an important supplier to the largest consumer that is the US, has seen its currency oscillate in line with oil prices.
To make long-term investments in the Foreign Exchange Market, it is necessary to take into consideration at least one Commodity Correlation - FOREX in your fundamental analysis.

Forex Technical Analysis Reddit

The technical analysis is the methodology that interprets the movements of the price. Specialists look for liquidity to fund their business. The repetition of the strategies used by the specialists in their work generate repetitive patterns.
If you were an analyst, you would develop the visual ability to identify such patterns on a graph. If you were a programmer you would quantify them mathematically using complex formulas.
And if you could learn to interpret the Language of Price, you would have the ability to anticipate 90% of all movements that occur on a chart. And in this business, anticipating is what will make you money.
Market prices are reflected and framed on a horizontal time axis and a vertical price axis. Prices go up or down according to the aggressiveness of the participating operators. In an efficient or balanced market these oscillations should be imperceptible.
But in reality this is not the case, since the Market works thanks to the digital printing of hundreds of billions of units of paper money systematically distributed by the Central Banks through the banking system. These resources serve as a tool to manipulate 100% of the movements that occur in the FOREX Market.
Are you looking for Technical Indicators? All technical indicators were created from the 70's. How do you think that for more than 200 years the speculators of the past accumulated great wealth?
With the Language of Price. The best timing is given by the price itself. Indicator-generated entry signals usually occur at the wrong time.
The basis of technical analysis is human psychology. Unfortunately, human beings are not perfect and are loaded with emotions that dominate their behavior in similar situations, creating repetitive and highly predictable behavior when it occurs in masses.
The study of technical analysis through indicators and subjective training, originates and shapes the collective thinking on which all the traps that specialists execute every day to maintain their business are designed. If the majority won, the Market would cease to exist.
Although you already know that the patterns are not generated by the masses , but the repetitive behavior of the Specialists in the face of the action response of the masses. It is very easy for speculaists, because they can see everyone's orders in their books.
And they also exert a great influence on the decisions of the masses through the mass media. It is what I call the war between the Egg and the Stone , if you hit me you win and if I hit you also you win.

The Deception of Modern Technical Analysis

Through the centuries thousands of people have been able to extract great benefits from the financial markets by applying the basic strategies of technical analysis and the psychology of the Price Language.
More than 200 years ago when the markets began to operate officially, fundamental analysis predominated, which was only used by large financial institutions. As this analysis tool began to become popular, these institutions began to apply the strategies of technical analysis.
In recent decades and with the massification of internet technology, technical analysis has begun to be handled by anyone who has a computer with internet access. The same financial institutions, which have been present for more than a century and as a result of this overcrowding , establish a strategy to confuse and misinform about the true strategies of technical analysis.
This has been accomplished in the following manner. Currently there are hundreds, if not thousands of technical indicators that have been developed by so-called "gurus" of technical analysis and that sell their magic indicators packed in a "system" or "method" that usually cost thousands of dollars, or simply with the publication of a book with which they generate large profits. Double benefit.
The aim is to confuse the initiates in speculation and create the collective mentality that will originate the same behaviors over and over again. About 95% of these new entrants completely lose all the capital they invest in their early stages as investors.
Leaving them with a negative experience and creating the idea and the image that financial markets are an exclusive area for geniuses with high academic levels and that only they can produce returns in the markets year after year.
The initiate, having lost all his original capital, turns to these “gurus” for help and teachings. You spend more capital on the products they offer you and the cycle repeats itself . Obviously, the vast majority do not relapse and completely forget to re-engage in the stock markets.
I hope you have not been a victim of this drama.
Now I will show you the simplicity of a FOREX technical analysis , without the need to resort to any indicator as a tool to determine an effective entry or exit strategy when planning your operations.

The Price Cycle

Previously you studied in the FOREX strategies lesson, that the typical price cycle when it is reflected in a graph, presents four very specific phases and very easy to identify if you perform a technical analysis with common sense . These are:
  • Accumulation
  • Bullish trend
  • Distribution
  • Bearish trend
Remember also that the most effective way to constantly extract profits in the markets is by taking advantage of phases 2 and 4 (the trends). Combined with a correct reading of the collective behavior of the masses of speculators interpreting the Language of Price.
You will be surprised by the simplicity with which thousands of people around the world and over the centuries have accumulated large sums of money by drawing a few simple lines and applying responsible risk management with their capital.

How to Identify Trends?

Being able to determine the trend phases within the price cycle is the essence of technical analysis since it is these two phases that provide you with the probabilistic advantage you need to operate in the markets and obtain constant returns.
In the most plain and simple language, in the world of technical analysis, there are only two types of formations: trends and ranges.
The trends, in turn, can be bullish if they go up, or bearish if they go down. The ranges, on the other hand, can be accumulation if they are at the beginning of the cycle, or distribution if they are in the high part of the cycle. As I had indicated in the topic of FOREX strategies when describing the price cycle.
This sounds more like a play on words, but I will show you the practical definition to simplify your life and then you will apply these definitions on the graph so that everything makes more sense to you.
  • Bullish trend: a succession of major highs and major lows
  • Bearish trend: a succession of minor highs and minor lows
  • Floor Range: equal highs and varied lows
  • Ceiling Range: equal minimums and varied maximums
https://preview.redd.it/vvmsshf0guv51.png?width=600&format=png&auto=webp&s=c321679a7dcc03f7184778be86379ef442fddf91
Some key points from the graph:
  • The start of this big uptrend was detected when the last high (thick green line) of the previous downtrend was broken to the upside, ending the succession of lower highs, while exiting the lateral floor formation.
  • The succession of major lows in the uptrend (thin blue lines)
  • The succession of major highs in the uptrend (thin green lines)
  • The end of the uptrend was detected when the last low (thick blue line) of the uptrend was broken to the downside, ending the succession of higher lows, while exiting the lateral ceiling formation.
A tool that will help you sharpen your technical eye and identify trends on the chart is the Currency Scanner. This application is very effective and will provide you with a much-needed boost in your operations to identify reliable trends. At first, we are not sure how reliable a trend is. You will receive great help to find opportunities with the Currency Scanner .

The Common Sense, The Less Common of Senses

The central idea of ​​technical analysis consists in determining the price situation of a market, that is, in which phase of the pattern of its cycle it is currently conjugated with the collective thinking of the masses and the possible traps that the market would have prepared to remove. the capital at stake by the public.
To carry out a precise technical analysis, you will use the support and resistance lines, which can be static (horizontal) or dynamic (projecting an angle with respect to the horizontal axis).
Your common sense prevails here.
If you show a 10-year-old a chart, they will be able to tell you if the price is going up or down. You will most likely have no idea how to draw the lines, but you will be able to establish the general trend. Simply using your common sense.
By introducing indicators and other gadgets , the simplicity and effectiveness of the technical analysis created by your common sense evaporates.
The following graph conceptually shows you all the possible situations in which you could draw these lines to carry out your technical analysis of the place. You can clearly observe a downtrend delimited by its dynamic trend line and an uptrend on the right side with its respective dynamic delimitation.
https://preview.redd.it/5iehg0r6guv51.png?width=500&format=png&auto=webp&s=84c265a5d35da7ea970792c4bf40fe20b33bd8bd

Forex Charts Analysis

I want to remind you that the formations or patterns that develop on the charts (triangles, wedges, pennants, boxes, etc.) only work to execute trades that have initially been confirmed by the static support and resistance lines and to read the collective thinking of the masses.
Chart formations work, but you must know the Language of Price to determine when the Specialists will exploit a chartist figure, or when they will allow it to run. In fact, you will learn with the Language that you can operate a chart figure in any direction.
Much of the "mentalization" that the masses receive is to believe that the figures are made to be respected. Which is an inefficient way of working. Simply because you could wait days or months for a perfect chart figure to occur in order to perform a reliable trade. When in fact there are dozens every day.

Japanese Candles

Of all the tools you have to carry out technical analysis, perhaps the best known and most popular is the Japanese technique of candles (candlesticks).
Candles are mainly used to identify reversal points on the chart without resorting to confirmation of horizontal trend lines and only using a previous bar or candle breaks.
Its correct use is subject to a multi-time analysis (multiple temporalities) and a general evaluation of the context proposed by the market in general at the time of each scenario.
Later I will show you all the important details to take into account so that you use Japanese candles in a simple and very effective way.
Do not forget ... Trading in your beginnings based on formations (chartism) and candlestick patterns conjugated with hundreds of tools and technical indicators, constitutes the perfect path to your failure. Before using any strategy or technique I recommend you focus on learning the Price Language, which includes 3 basic things:
  • The Price: structure and dynamics
  • Market sentiment: relative strength, external shocks, etc.
  • Psychology: flexible mindset and risk acceptance
After you acquire this solid foundation, I guarantee that you will be able to trade any trading system that exists, any strategy, technique or chart figure in a profitable and consistent manner.
Specialists make money every day at the expense of the collective behavior caused by the use of these strategies and techniques. With which you will only manage to lose your capital and your time by putting the cart in front of the horse.
People who do the opposite, at best become,
... Philosophers of Speculation, or indocile Robot Assistants or Expert Advisors.
To make money in any market condition, range or trend, you must use the technical analysis based on the Price Language and combine it with a correct psychological reading of the price. This knowledge can only be acquired through proper education and lots of supervised practice. Like any other career in life.
I hope you've found this guide helpful!
submitted by kayakero to makemoneyforexreddit [link] [comments]

Summarizing some free trading idea resources I've been using

I've been following many free resources on youtube and twitter to generate trading ideas. Some of them are suspicious; some are more like boasting their wining trades but never post any losing trades. I see many people ask about trading ideas/resources, so I want to briefly share some resources I find useful.

Twitter resources:
  1. @ TicTocTick


  1. @ tradingwarz


  1. @ traderstewie


Youtube resources:
  1. Conquer trading and investing. https://www.youtube.com/channel/UCN2WmKUchJpIcS1MupY-BuA


  1. Blaze Capital: https://www.youtube.com/channel/UCq0BCGckWWjrnV8YdYO24JA
Other notes:
  1. The scalping trades in the morning is not very suitable for small accounts since they will trade for example 100 shares of BA (~160) to scalp a few dollars per share.
  2. Even though the stocks on their weekly watchlist does well very, one still need to come up with an actionable plan. Very often say they recommend stock A on Sunday, and on Monday it already gaps up big. They sometimes do YOLO options -- big risk big rewards-- options can go to 0.
  3. Besides the free content, everyone can get a free one-week trial for their paid membership, or a 2-week free trial by winning a lottery game on their youtube ( what I did) or knowing someone in their group and get a referral. What I like about the group: (i) very frequently updates each day on SPY and stocks on the watchlist. (ii) all their positions, Profit / Loss are very transparent. I learned a lot about how to manage trades by observing their live trades. (iii) There are many very experienced traders in the group posting their trading ideas, plans, entry/exit, and there are many live discussions. (iv) There's a "helpdesk" in the group where members' questions will be answered in minutes. I often ask about my trading plan, entries/ targets.




Other resources:
  1. Shadow trader free newsletter
https://www.shadowtrader.net/newsletter-category/swing-trade


I've spent much time looking for free contents, and I like the ones above. Also looking forward to hearing about other good/bad resources. I might also update this post if there are enough interests. NFA
submitted by Busy-Valuable to Daytrading [link] [comments]

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submitted by ViralMedia007 to FREECoursesEveryday [link] [comments]

When will we bottom out?

PART 2 : https://www.reddit.com/wallstreetbets/comments/g0sd44/what_is_the_bottom/
PART 3: https://www.reddit.com/wallstreetbets/comments/g2enz2/why_the_printer_must_continue/
Edit: By popular demand, the too long didn't read is now at the top
TL;DR
SPY 220p 11/20
This will likely be a multi-part series. It should be noted that I am no expert by any means, I'm actually quite new to this, it is just an elementary analysis of patterns in price and time. I am not a financial advisor, and this is not advice for a person to enter trades upon.
The fundamental divide in trading revolves around the question of market structure. Many feel that the market operates totally randomly and its’ behavior cannot be predicted. For the purposes of this DD, we will assume that the market has a structure, but that that structure is not perfect. That market structure naturally generates chart patterns as the market records prices in time. We will analyze an instrument, an exchange traded fund, which represents an index, as opposed to a particular stock. The price patterns of the various stocks in an index are effectively smoothed out. In doing so, a more technical picture arises. Perhaps the most popular of these is the SPDR S&P Standard and Poor 500 Exchange Traded Fund ($SPY).
In trading, little to no concern is given about value of underlying asset. We concerned primarily about liquidity and trading ranges, which are the amount of value fluctuating on a short-term basis, as measured by volatility-implied trading ranges. Fundamental analysis plays a role, however markets often do not react to real-world factors in a logical fashion. Therefore, fundamental analysis is more appropriate for long-term investing.
The fundamental derivatives of a chart are time (x-axis) and price (y-axis). The primary technical indicator is price, as everything else is lagging in the past. Price represents current asking price and incorrectly implementing positions based on price is one of the biggest trading errors.
Markets ordinarily have noise, their tendency to back-and-fill, which must be filtered out for true pattern recognition. That noise does have a utility, however, in allowing traders second chances to enter favorable positions at slightly less favorable entry points. When you have any market with enough liquidity for historical data to record a pattern, then a structure can be divined. The market probes prices as part of an ongoing price-discovery process. Market technicians must sometimes look outside of the technical realm and use visual inspection to ascertain the relevance of certain patterns, using a qualitative eye that recognizes the underlying quantitative nature
Markets rise slower than they correct, however they rise much more than they fall. In the same vein, instruments can only fall to having no worth, whereas they could theoretically grow infinitely and have continued to grow over time. Money in a fiat system is illusory. It is a fundamentally synthetic instrument which has no intrinsic value. Hence, the recent seemingly illogical fluctuations in the market.
According to trade theory, the unending purpose of a market is to create and break price ranges according to the laws of supply and demand. We must determine when to trade based on each market inflection point as defined in price and in time as opposed to abandoning the trend (as the contrarian trading in this sub often does). Time and Price symmetry must be used to be in accordance with the trend. When coupled with a favorable risk to reward ratio, the ability to stay in the market for most of the defined time period, and adherence to risk management rules; the trader has a solid methodology for achieving considerable gains.
We will engage in a longer term market-oriented analysis to avoid any time-focused pressure. The market is technically open 24-hours a day, so trading may be done when the individual is ready, without any pressing need to be constantly alert. Let alone, we can safely project months in advance with relatively high accuracy.
Some important terms to keep in mind:
§ Discrete – terminal points at the extremes of ranges
§ Secondary Discrete – quantified retracement or correction between two discrete
§ Longs (asset appreciation) and shorts (asset depreciation)
- Technical indicators are often considered self-fulfilling prophecies due to mass-market psychology gravitating towards certain common numbers yielded from them. That means a trader must be especially aware of these numbers as they can prognosticate market movements. Often, they are meaningless in the larger picture of things.
§ Volume – derived from the market itself, it is mostly irrelevant. The major problem with volume is that the US market open causes tremendous volume surges eradicating any intrinsic volume analysis. At major highs and lows, the market is typically anemic. Most traders are not active at terminal discretes because of levels of fear. Allows us confidence in time and price symmetry market inflection points, if we observe low volume at a foretold range of values. We can rationalize that an absolute discrete is usually only discovered and anticipated by very few traders. As the general market realizes it, a herd mentality will push the market in the direction favorable to defending it. Volume is also useful for swing trading, as chances for swing’s validity increases if an increase in volume is seen on and after the swing’s activation.
Therefore, due to the relatively high volume on the 23rd of March, we can safely determine that a low WAS NOT reached.
§ VIX – Volatility Index, this technical indicator indicates level of fear by the amount of options-based “insurance” in portfolios. A low VIX environment, less than 20 for the S&P index, indicates a stable market with a possible uptrend. A high VIX, over 20, indicates a possible downtrend. However, it is equally important to see how VIX is changing over time, if it is decreasing or increasing, as that indicates increasing or decreasing fear. Low volatility allows high leverage without risk or rest. Occasionally, markets do rise with high VIX.
As VIX is unusually high, in the forties, we can be confident that a downtrend is imminent.
– Trend definition is highly powerful, cannot be understated. Knowledge of trend logic is enough to be a profitable trader, yet defining a trend is an arduous process. Multiple trends coexist across multiple time frames and across multiple market sectors. Like time structure, it makes the underlying price of the instrument irrelevant. Trend definitions cannot determine the validity of newly formed discretes. Trend becomes apparent when trades based in counter-trend inflection points continue to fail.
Downtrends are defined as an instrument making lower lows and lower highs that are recurrent, additive, qualified swing setups. Downtrends for all instruments are similar, except forex. They are fast and complete much quicker than uptrends. An average downtrend is 18 months, something which we will return to. An uptrend inception occurs when an instrument reaches a point where it fails to make a new low, then that low will be tested. After that, the instrument will either have a deep range retracement or it may take out the low slightly, resulting in a double-bottom. A swing must eventually form.
A simple way to roughly determine trend is to attempt to draw a line from three tops going upwards (uptrend) or a line from three bottoms going downwards (downtrend). It is not possible to correctly draw an uptrend line on the SPY chart, but it is possible to correctly draw a downtrend – indicating that the overall trend is downwards.
Now that we have determined that the overall trend is downwards, the next issue is the question of when SPY will bottom out.
Time is the movement from the past through the present into the future. It is a measurement in quantified intervals. In many ways, our perception of it is a human construct. It is more powerful than price as time may be utilized for a trade regardless of the market inflection point’s price. Were it possible to perfectly understand time, price would be totally irrelevant due to the predictive certainty time affords. Time structure is easier to learn than price, but much more difficult to apply with any accuracy. It is the hardest aspect of trading to learn, but also the most rewarding.
Humans do not have the ability to recognize every time window, however the ability to define market inflection points in terms of time is the single most powerful trading edge. Regardless, price should not be abandoned for time alone. Time structure analysis It is inherently flawed, as such the markets have a fail-safe, which is Price Structure. Even though Time is much more powerful, Price Structure should never be completely ignored. Time is the qualifier for Price and vice versa. Time can fail by tricking traders into counter-trend trading.
Time is a predestined trade quantifier, a filter to slow trades down, as it allows a trader to specifically focus on specific time windows and rest at others. It allows for quantitative measurements to reach deterministic values and is the primary qualifier for trends. Time structure should be utilized before price structure, and it is the primary trade criterion which requires support from price. We can see price structure on a chart, as areas of mathematical support or resistance, but we cannot see time structure.
Time may be used to tell us an exact point in the future where the market will inflect, after Price Theory has been fulfilled. In the present, price objectives based on price theory added to possible future times for market inflection points give us the exact time of market inflection points and price.
Time Structure is repetitions of time or inherent cycles of time, occurring in a methodical way to provide time windows which may be utilized for inflection points. They are not easily recognized and not easily defined by a price chart as measuring and observing time is very exact. Time structure is not a science, yet it does require precise measurements. Nothing is certain or definite. The critical question must be if a particular approach to time structure is currently lucrative or not.
We will complete our analysis of time by measuring it in intervals of 180 bars. Our goal is to determine time windows, when the market will react and when we should pay the most attention. By using time repetitions, the fact that market inflection points occurred at some point in the past and should, therefore, reoccur at some point in the future, we should obtain confidence as to when SPY will reach a market inflection point. Time repetitions are essentially the market’s memory. However, simply measuring the time between two points then trying to extrapolate into the future does not work. Measuring time is not the same as defining time repetitions. We will evaluate past sessions for market inflection points, whether discretes, qualified swings, or intra-range. Then records the times that the market has made highs or lows in a comparable time period to the future one seeks to trade in.
What follows is a time Histogram – A grouping of times which appear close together, then segregated based on that closeness. Time is aligned into combined histogram of repetitions and cycles, however cycles are irrelevant on a daily basis. If trading on an hourly basis, do not use hours.
Yearly Lows: 12/31/2000, 9/21/2001, 10/9/2002, 3/11/2003, 8/2/2004, 4/15/2005, 6/12/2006, 3/5/2007, 11/17/2008, 3/9/2009, 7/2/10, 10/3/11, 1/1/12, 1/1/13, 2/3/14, 9/28/15, 2/8/16, 1/3/17, 12/24/18, 6/3/19
Months: 1, 1, 1, 2, 2, 3, 3, 3, 4, 6, 6, 7, 8, 9, 9, 10, 10, 11, 12, 12
Days: 1, 1, 2, 2, 3, 3, 3, 3, 5, 8, 9, 9, 11, 12, 15, 17, 21, 24, 28, 31
Monthly Lows: 3/23, 2/28, 1/27, 12/3, 11/1, 10/2, 9/3, 8/5, 7/1, 6/3, 5/31, 4/1
Days: 1, 1, 1, 2, 3, 3, 3, 5, 23, 27, 27, 31
Weighted Times are repetitions which appears multiple times within the same list, observed and accentuated once divided into relevant sections of the histogram. They are important in the presently defined trading time period and are similar to a mathematical mode with respect to a series. Phased times are essentially periodical patterns in histograms, though they do not guarantee inflection points*.*
We see that SPY tends to have its lows between three major month clusters: 1-4, primarily March (which has actually occurred already this year), 6-9, averaged out to July, and 10-12, averaged out to November. Following the same methodology, we get the third and tenth days of the month as the likeliest days. However, evaluating the monthly lows for the past year, the end of the month has replaced the average of the tenth. Therefore, we have four primary dates for our histogram.
7/3/20, 7/27/20, and 11/3/20, 11/27/20 .
How do we narrow this group down with any accuracy? Let us average the days together to work with two dates - 7/15/20 and 11/15/20.
The 8.6-Year Armstrong-Princeton Global Economic Confidence model – states that 2.15 year intervals occur between corrections, relevant highs and lows. 2.15 years from the all-time peak discrete is April 14th of 2022. However, we can time-shift to other peaks and troughs to determine a date for this year. If we consider 1/28/2018 as a localized high and apply this model, we get 3/23/20 as a low - strikingly accurate. I have chosen the next localized high, 9/21/2018 to apply the model to. We achieve a date of 11/14/2020.
The average bear market is eighteen months long, giving us a date of August 19th, 2021 for the end of the bear market - roughly speaking.
Therefore, our timeline looks like:
As we move forward in time, our predictions may be less accurate. It is important to keep in mind that this analysis will likely change and become more accurate as we factor in Terry Laundry’s T-Theory, the Bradley Cycle, a more sophisticated analysis of Bull and Bear Market Cycles, the Fundamental Investor Cyclic Approach, and Seasons and Half-Seasons.
I have also assumed that the audience believes in these models, which is not necessary. Anyone with free time may construct histograms and view these time models, determining for themselves what is accurate and what is not. Take a look at 1/28/2008, that localized high, and 2.15 years (1/4th of the sinusoidal wave of the model) later.
The question now is, what prices will SPY reach on 11/14? Where will we be at 7/28? What will happen on 4/14/22?
submitted by aibnsamin1 to wallstreetbets [link] [comments]

No, the British did not steal $45 trillion from India

This is an updated copy of the version on BadHistory. I plan to update it in accordance with the feedback I got.
I'd like to thank two people who will remain anonymous for helping me greatly with this post (you know who you are)
Three years ago a festschrift for Binay Bhushan Chaudhuri was published by Shubhra Chakrabarti, a history teacher at the University of Delhi and Utsa Patnaik, a Marxist economist who taught at JNU until 2010.
One of the essays in the festschirt by Utsa Patnaik was an attempt to quantify the "drain" undergone by India during British Rule. Her conclusion? Britain robbed India of $45 trillion (or £9.2 trillion) during their 200 or so years of rule. This figure was immensely popular, and got republished in several major news outlets (here, here, here, here (they get the number wrong) and more recently here), got a mention from the Minister of External Affairs & returns 29,100 results on Google. There's also plenty of references to it here on Reddit.
Patnaik is not the first to calculate such a figure. Angus Maddison thought it was £100 million, Simon Digby said £1 billion, Javier Estaban said £40 million see Roy (2019). The huge range of figures should set off some alarm bells.
So how did Patnaik calculate this (shockingly large) figure? Well, even though I don't have access to the festschrift, she conveniently has written an article detailing her methodology here. Let's have a look.
How exactly did the British manage to diddle us and drain our wealth’ ? was the question that Basudev Chatterjee (later editor of a volume in the Towards Freedom project) had posed to me 50 years ago when we were fellow-students abroad.
This is begging the question.
After decades of research I find that using India’s commodity export surplus as the measure and applying an interest rate of 5%, the total drain from 1765 to 1938, compounded up to 2016, comes to £9.2 trillion; since $4.86 exchanged for £1 those days, this sum equals about $45 trillion.
This is completely meaningless. To understand why it's meaningless consider India's annual coconut exports. These are almost certainly a surplus but the surplus in trade is countered by the other country buying the product (indeed, by definition, trade surpluses contribute to the GDP of a nation which hardly plays into intuitive conceptualisations of drain).
Furthermore, Dewey (2019) critiques the 5% interest rate.
She [Patnaik] consistently adopts statistical assumptions (such as compound interest at a rate of 5% per annum over centuries) that exaggerate the magnitude of the drain
Moving on:
The exact mechanism of drain, or transfers from India to Britain was quite simple.
Convenient.
Drain theory possessed the political merit of being easily grasped by a nation of peasants. [...] No other idea could arouse people than the thought that they were being taxed so that others in far off lands might live in comfort. [...] It was, therefore, inevitable that the drain theory became the main staple of nationalist political agitation during the Gandhian era.
- Chandra et al. (1989)
The key factor was Britain’s control over our taxation revenues combined with control over India’s financial gold and forex earnings from its booming commodity export surplus with the world. Simply put, Britain used locally raised rupee tax revenues to pay for its net import of goods, a highly abnormal use of budgetary funds not seen in any sovereign country.
The issue with figures like these is they all make certain methodological assumptions that are impossible to prove. From Roy in Frankema et al. (2019):
the "drain theory" of Indian poverty cannot be tested with evidence, for several reasons. First, it rests on the counterfactual that any money saved on account of factor payments abroad would translate into domestic investment, which can never be proved. Second, it rests on "the primitive notion that all payments to foreigners are "drain"", that is, on the assumption that these payments did not contribute to domestic national income to the equivalent extent (Kumar 1985, 384; see also Chaudhuri 1968). Again, this cannot be tested. [...] Fourth, while British officers serving India did receive salaries that were many times that of the average income in India, a paper using cross-country data shows that colonies with better paid officers were governed better (Jones 2013).
Indeed, drain theory rests on some very weak foundations. This, in of itself, should be enough to dismiss any of the other figures that get thrown out. Nonetheless, I felt it would be a useful exercise to continue exploring Patnaik's take on drain theory.
The East India Company from 1765 onwards allocated every year up to one-third of Indian budgetary revenues net of collection costs, to buy a large volume of goods for direct import into Britain, far in excess of that country’s own needs.
So what's going on here? Well Roy (2019) explains it better:
Colonial India ran an export surplus, which, together with foreign investment, was used to pay for services purchased from Britain. These payments included interest on public debt, salaries, and pensions paid to government offcers who had come from Britain, salaries of managers and engineers, guaranteed profts paid to railway companies, and repatriated business profts. How do we know that any of these payments involved paying too much? The answer is we do not.
So what was really happening is the government was paying its workers for services (as well as guaranteeing profits - to promote investment - something the GoI does today Dalal (2019), and promoting business in India), and those workers were remitting some of that money to Britain. This is hardly a drain (unless, of course, Indian diaspora around the world today are "draining" it). In some cases, the remittances would take the form of goods (as described) see Chaudhuri (1983):
It is obvious that these debit items were financed through the export surplus on merchandise account, and later, when railway construction started on a large scale in India, through capital import. Until 1833 the East India Company followed a cumbersome method in remitting the annual home charges. This was to purchase export commodities in India out of revenue, which were then shipped to London and the proceeds from their sale handed over to the home treasury.
While Roy's earlier point argues better paid officers governed better, it is honestly impossible to say what part of the repatriated export surplus was a drain, and what was not. However calling all of it a drain is definitely misguided.
It's worth noting that Patnaik seems to make no attempt to quantify the benefits of the Raj either, Dewey (2019)'s 2nd criticism:
she [Patnaik] consistently ignores research that would tend to cut the economic impact of the drain down to size, such as the work on the sources of investment during the industrial revolution (which shows that industrialisation was financed by the ploughed-back profits of industrialists) or the costs of empire school (which stresses the high price of imperial defence)

Since tropical goods were highly prized in other cold temperate countries which could never produce them, in effect these free goods represented international purchasing power for Britain which kept a part for its own use and re-exported the balance to other countries in Europe and North America against import of food grains, iron and other goods in which it was deficient.
Re-exports necessarily adds value to goods when the goods are processed and when the goods are transported. The country with the largest navy at the time would presumably be in very good stead to do the latter.
The British historians Phyllis Deane and WA Cole presented an incorrect estimate of Britain’s 18th-19th century trade volume, by leaving out re-exports completely. I found that by 1800 Britain’s total trade was 62% higher than their estimate, on applying the correct definition of trade including re-exports, that is used by the United Nations and by all other international organisations.
While interesting, and certainly expected for such an old book, re-exporting necessarily adds value to goods.
When the Crown took over from the Company, from 1861 a clever system was developed under which all of India’s financial gold and forex earnings from its fast-rising commodity export surplus with the world, was intercepted and appropriated by Britain. As before up to a third of India’s rising budgetary revenues was not spent domestically but was set aside as ‘expenditure abroad’.
So, what does this mean? Britain appropriated all of India's earnings, and then spent a third of it aboard? Not exactly. She is describing home charges see Roy (2019) again:
Some of the expenditures on defense and administration were made in sterling and went out of the country. This payment by the government was known as the Home Charges. For example, interest payment on loans raised to finance construction of railways and irrigation works, pensions paid to retired officers, and purchase of stores, were payments in sterling. [...] almost all money that the government paid abroad corresponded to the purchase of a service from abroad. [...] The balance of payments system that emerged after 1800 was based on standard business principles. India bought something and paid for it. State revenues were used to pay for wages of people hired abroad, pay for interest on loans raised abroad, and repatriation of profits on foreign investments coming into India. These were legitimate market transactions.
Indeed, if paying for what you buy is drain, then several billions of us are drained every day.
The Secretary of State for India in Council, based in London, invited foreign importers to deposit with him the payment (in gold, sterling and their own currencies) for their net imports from India, and these gold and forex payments disappeared into the yawning maw of the SoS’s account in the Bank of England.
It should be noted that India having two heads was beneficial, and encouraged investment per Roy (2019):
The fact that the India Office in London managed a part of the monetary system made India creditworthy, stabilized its currency, and encouraged foreign savers to put money into railways and private enterprise in India. Current research on the history of public debt shows that stable and large colonies found it easier to borrow abroad than independent economies because the investors trusted the guarantee of the colonist powers.

Against India’s net foreign earnings he issued bills, termed Council bills (CBs), to an equivalent rupee value. The rate (between gold-linked sterling and silver rupee) at which the bills were issued, was carefully adjusted to the last farthing, so that foreigners would never find it more profitable to ship financial gold as payment directly to Indians, compared to using the CB route. Foreign importers then sent the CBs by post or by telegraph to the export houses in India, that via the exchange banks were paid out of the budgeted provision of sums under ‘expenditure abroad’, and the exporters in turn paid the producers (peasants and artisans) from whom they sourced the goods.
Sunderland (2013) argues CBs had two main roles (and neither were part of a grand plot to keep gold out of India):
Council bills had two roles. They firstly promoted trade by handing the IO some control of the rate of exchange and allowing the exchange banks to remit funds to India and to hedge currency transaction risks. They also enabled the Indian government to transfer cash to England for the payment of its UK commitments.

The United Nations (1962) historical data for 1900 to 1960, show that for three decades up to 1928 (and very likely earlier too) India posted the second highest merchandise export surplus in the world, with USA in the first position. Not only were Indians deprived of every bit of the enormous international purchasing power they had earned over 175 years, even its rupee equivalent was not issued to them since not even the colonial government was credited with any part of India’s net gold and forex earnings against which it could issue rupees. The sleight-of-hand employed, namely ‘paying’ producers out of their own taxes, made India’s export surplus unrequited and constituted a tax-financed drain to the metropolis, as had been correctly pointed out by those highly insightful classical writers, Dadabhai Naoroji and RCDutt.
It doesn't appear that others appreciate their insight Roy (2019):
K. N. Chaudhuri rightly calls such practice ‘confused’ economics ‘coloured by political feelings’.

Surplus budgets to effect such heavy tax-financed transfers had a severe employment–reducing and income-deflating effect: mass consumption was squeezed in order to release export goods. Per capita annual foodgrains absorption in British India declined from 210 kg. during the period 1904-09, to 157 kg. during 1937-41, and to only 137 kg by 1946.
Dewey (1978) points out reliability issues with Indian agriculutural statistics, however this calorie decline persists to this day. Some of it is attributed to less food being consumed at home Smith (2015), a lower infectious disease burden Duh & Spears (2016) and diversified diets Vankatesh et al. (2016).
If even a part of its enormous foreign earnings had been credited to it and not entirely siphoned off, India could have imported modern technology to build up an industrial structure as Japan was doing.
This is, unfortunately, impossible to prove. Had the British not arrived in India, there is no clear indication that India would've united (this is arguably more plausible than the given counterfactual1). Had the British not arrived in India, there is no clear indication India would not have been nuked in WW2, much like Japan. Had the British not arrived in India, there is no clear indication India would not have been invaded by lizard people, much like Japan. The list continues eternally.
Nevertheless, I will charitably examine the given counterfactual anyway. Did pre-colonial India have industrial potential? The answer is a resounding no.
From Gupta (1980):
This article starts from the premise that while economic categories - the extent of commodity production, wage labour, monetarisation of the economy, etc - should be the basis for any analysis of the production relations of pre-British India, it is the nature of class struggles arising out of particular class alignments that finally gives the decisive twist to social change. Arguing on this premise, and analysing the available evidence, this article concludes that there was little potential for industrial revolution before the British arrived in India because, whatever might have been the character of economic categories of that period, the class relations had not sufficiently matured to develop productive forces and the required class struggle for a 'revolution' to take place.
A view echoed in Raychaudhuri (1983):
Yet all of this did not amount to an economic situation comparable to that of western Europe on the eve of the industrial revolution. Her technology - in agriculture as well as manufacturers - had by and large been stagnant for centuries. [...] The weakness of the Indian economy in the mid-eighteenth century, as compared to pre-industrial Europe was not simply a matter of technology and commercial and industrial organization. No scientific or geographical revolution formed part of the eighteenth-century Indian's historical experience. [...] Spontaneous movement towards industrialisation is unlikely in such a situation.
So now we've established India did not have industrial potential, was India similar to Japan just before the Meiji era? The answer, yet again, unsurprisingly, is no. Japan's economic situation was not comparable to India's, which allowed for Japan to finance its revolution. From Yasuba (1986):
All in all, the Japanese standard of living may not have been much below the English standard of living before industrialization, and both of them may have been considerably higher than the Indian standard of living. We can no longer say that Japan started from a pathetically low economic level and achieved a rapid or even "miraculous" economic growth. Japan's per capita income was almost as high as in Western Europe before industrialization, and it was possible for Japan to produce surplus in the Meiji Period to finance private and public capital formation.
The circumstances that led to Meiji Japan were extremely unique. See Tomlinson (1985):
Most modern comparisons between India and Japan, written by either Indianists or Japanese specialists, stress instead that industrial growth in Meiji Japan was the product of unique features that were not reproducible elsewhere. [...] it is undoubtably true that Japan's progress to industrialization has been unique and unrepeatable
So there you have it. Unsubstantiated statistical assumptions, calling any number you can a drain & assuming a counterfactual for no good reason gets you this $45 trillion number. Hopefully that's enough to bury it in the ground.
1. Several authors have affirmed that Indian identity is a colonial artefact. For example see Rajan 1969:
Perhaps the single greatest and most enduring impact of British rule over India is that it created an Indian nation, in the modern political sense. After centuries of rule by different dynasties overparts of the Indian sub-continent, and after about 100 years of British rule, Indians ceased to be merely Bengalis, Maharashtrians,or Tamils, linguistically and culturally.
or see Bryant 2000:
But then, it would be anachronistic to condemn eighteenth-century Indians, who served the British, as collaborators, when the notion of 'democratic' nationalism or of an Indian 'nation' did not then exist. [...] Indians who fought for them, differed from the Europeans in having a primary attachment to a non-belligerent religion, family and local chief, which was stronger than any identity they might have with a more remote prince or 'nation'.

Bibliography

Chakrabarti, Shubra & Patnaik, Utsa (2018). Agrarian and other histories: Essays for Binay Bhushan Chaudhuri. Colombia University Press
Hickel, Jason (2018). How the British stole $45 trillion from India. The Guardian
Bhuyan, Aroonim & Sharma, Krishan (2019). The Great Loot: How the British stole $45 trillion from India. Indiapost
Monbiot, George (2020). English Landowners have stolen our rights. It is time to reclaim them. The Guardian
Tsjeng, Zing (2020). How Britain Stole $45 trillion from India with trains | Empires of Dirt. Vice
Chaudhury, Dipanjan (2019). British looted $45 trillion from India in today’s value: Jaishankar. The Economic Times
Roy, Tirthankar (2019). How British rule changed India's economy: The Paradox of the Raj. Palgrave Macmillan
Patnaik, Utsa (2018). How the British impoverished India. Hindustan Times
Tuovila, Alicia (2019). Expenditure method. Investopedia
Dewey, Clive (2019). Changing the guard: The dissolution of the nationalist–Marxist orthodoxy in the agrarian and agricultural history of India. The Indian Economic & Social History Review
Chandra, Bipan et al. (1989). India's Struggle for Independence, 1857-1947. Penguin Books
Frankema, Ewout & Booth, Anne (2019). Fiscal Capacity and the Colonial State in Asia and Africa, c. 1850-1960. Cambridge University Press
Dalal, Sucheta (2019). IL&FS Controversy: Centre is Paying Up on Sovereign Guarantees to ADB, KfW for Group's Loan. TheWire
Chaudhuri, K.N. (1983). X - Foreign Trade and Balance of Payments (1757–1947). Cambridge University Press
Sunderland, David (2013). Financing the Raj: The City of London and Colonial India, 1858-1940. Boydell Press
Dewey, Clive (1978). Patwari and Chaukidar: Subordinate officials and the reliability of India’s agricultural statistics. Athlone Press
Smith, Lisa (2015). The great Indian calorie debate: Explaining rising undernourishment during India’s rapid economic growth. Food Policy
Duh, Josephine & Spears, Dean (2016). Health and Hunger: Disease, Energy Needs, and the Indian Calorie Consumption Puzzle. The Economic Journal
Vankatesh, P. et al. (2016). Relationship between Food Production and Consumption Diversity in India – Empirical Evidences from Cross Section Analysis. Agricultural Economics Research Review
Gupta, Shaibal (1980). Potential of Industrial Revolution in Pre-British India. Economic and Political Weekly
Raychaudhuri, Tapan (1983). I - The mid-eighteenth-century background. Cambridge University Press
Yasuba, Yasukichi (1986). Standard of Living in Japan Before Industrialization: From what Level did Japan Begin? A Comment. The Journal of Economic History
Tomblinson, B.R. (1985). Writing History Sideways: Lessons for Indian Economic Historians from Meiji Japan. Cambridge University Press
Rajan, M.S. (1969). The Impact of British Rule in India. Journal of Contemporary History
Bryant, G.J. (2000). Indigenous Mercenaries in the Service of European Imperialists: The Case of the Sepoys in the Early British Indian Army, 1750-1800. War in History
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Is PrimeXBT Safe for Canadian Traders?

Is PrimeXBT Safe for Canadian Traders?
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With the dramatic increase in the number of traders and investors in Canada that are using PrimeXBT, one question has been asked recently more than others which is whether PrimeXBT is safe for Canadian traders.
The number of Canadian users at PrimeXBT has been growing rapidly throughout 2020 as a sign that the tools and features on the platform are opening up new opportunities for interacting in the market in more optimal ways.
This guide covers whether or not PrimeXBT is safe for Canadian traders, and looks at some of the features and tools of the platform.
The Canadian Market in 2020
Like much of the rest of the world, the Canadian market has seen some of the highest levels of all volatility in 2020 that have been seen in many years, or even at all throughout the history of cryptocurrency.
The Canadian market has seen renewed growth following the contractions throughout 2018 and much of 2019 when the global bear market in the cryptocurrency space drove many retail investors back out of the market after the exponential growth of 2017.
This has led many Canadian traders to wonder whether we are on the brink of another major bull run as was seen both in 2017 as well as 2013, and that would potentially see the price of Bitcoin driven up to the range of $50,000 or more.
The Exponential Growth of PrimeXBT
With the backdrop of the excitement within the global cryptocurrency market in general, and the Canadian cryptocurrency market more specifically, PrimeXBT has been perfectly positioned for exponential growth since its launch in early 2018.
The platform initially launched at the start of 2018 with a waiting list of more than 150,000 traders, and this showed the interest in the platform that was present even before it came onto the market.
As a result of the unique tools and features provided by PrimeXBT, it has grown exponentially over the past few years to become the world’s leading multi-asset margin trading platform and today managing up to $2 billion worth of global trade every day.
What is PrimeXBT?

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PrimeXBT is a margin trading-centric platform that provides high leverage trading on a wide range of cryptoassets as well as many of the world’s leading traditional assets.
Traders at PrimeXBT are able to access up to 100X leverage on a wide range of cryptoassets that include BTC, ETH, XRP, LTC, and EOS.
This is whilst also being able to access up to 500X leverage on a range of traditional assets like stock indices such as the S&P500 and FTSE100, forex pairs such as USD/EUR and AUD/CAD, and commodities such as gold and oil.
PrimeXBT: Security Features
From a security perspective, PrimeXBT is one of the leading trading platforms in the crypto market, and has built a strong reputation for being a safe and reliable platform to trade on.
Much of this is as a result of the bank-grade security features that are implemented throughout PrimeXBT that include mandatory Bitcoin address whitelisting and hardware security modules with rating of FIPS PUB 140-2 Level 3 or higher.
By working to add advanced security solutions throughout its platform, PrimeXBT has shown a strong commitment to protecting the funds and data of its users.
PrimeXBT: Security Track Record
While there are many other platforms in the cryptocurrency space that have suffered devastating hacks over the past 2 or 3 years, PrimeXBT is one of a small number of top tier platforms that have remained hack-free throughout this period.
A good example of this is the Binance hack in 2019 that saw the platform lose more than $40 million of its users’ funds, and more recently the KuCoin hack where more than $150 million was lost by that platform.
In contrast, PrimeXBT has never been hacked and has never been breached by hackers and as such remains as one of the most trusted platforms in the market, having a clean security track record.
PrimeXBT: Excellent Customer Support
In 2019, a study of the top 5 crypto margin trading platforms found that PrimeXBT has the best customer service of all 5, and also was the only platform out of the 5 to have full marks for all for metrics.
These metrics were politeness, responsiveness, helpfulness, and the range of different communication channels that were available to users.
By having an excellent customer support structure, PrimeXBT has ensured that its users are able to get fast and easy solutions to the problems and that there is always a direct line of communication open with the admin at the platform to be able to effectively deal with any issues that arise.
Other Advantages of Using PrimeXBT
PrimeXBT also provides a number of other advantages that are unique to the platform including providing the lowest fee schedule of any major cryptocurrency trading platform in the market with a low flat rate of 0.05% applied to all trades, irrespective of the size of a trade or the asset being traded.
As well as this, PrimeXBT’s users can enjoy a robust trading engine that is built into the core of the PrimeXBT platform and that can execute up to 12,000 trades per second with an average trade time of less than 7.02 ms.
PrimeXBT also has a unique 4-tier referral program where the traders can generate revenue streams from direct referrals, as well as indirect referrals up to 4 levels deep, with this dramatically increasing the profitability of affiliate activities, and netting the top 3 affiliates on the platform more than $1 million in 2019.
In Summary
PrimeXBT is a safe and well-reputed trading platform for Canadian traders and this is the reason for its exponential growth of users and volume within Canada over the past months.
As well as being a safe platform to trade at, PrimeXBT also provides a range of unique tools and features to use in order to maximize profitability in the cryptocurrency and traditional asset markets.
To understand more about the security features on PrimeXBT that have protected its users, check out PrimeXBT’s Security page.
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Trading economic news

The majority of this sub is focused on technical analysis. I regularly ridicule such "tea leaf readers" and advocate for trading based on fundamentals and economic news instead, so I figured I should take the time to write up something on how exactly you can trade economic news releases.
This post is long as balls so I won't be upset if you get bored and go back to your drooping dick patterns or whatever.

How economic news is released

First, it helps to know how economic news is compiled and released. Let's take Initial Jobless Claims, the number of initial claims for unemployment benefits around the United States from Sunday through Saturday. Initial in this context means the first claim for benefits made by an individual during a particular stretch of unemployment. The Initial Jobless Claims figure appears in the Department of Labor's Unemployment Insurance Weekly Claims Report, which compiles information from all of the per-state departments that report to the DOL during the week. A typical number is between 100k and 250k and it can vary quite significantly week-to-week.
The Unemployment Insurance Weekly Claims Report contains data that lags 5 days behind. For example, the Report issued on Thursday March 26th 2020 contained data about the week ending on Saturday March 21st 2020.
In the days leading up to the Report, financial companies will survey economists and run complicated mathematical models to forecast the upcoming Initial Jobless Claims figure. The results of surveyed experts is called the "consensus"; specific companies, experts, and websites will also provide their own forecasts. Different companies will release different consensuses. Usually they are pretty close (within 2-3k), but for last week's record-high Initial Jobless Claims the reported consensuses varied by up to 1M! In other words, there was essentially no consensus.
The Unemployment Insurance Weekly Claims Report is released each Thursday morning at exactly 8:30 AM ET. (On Thanksgiving the Report is released on Wednesday instead.) Media representatives gather at the Frances Perkins Building in Washington DC and are admitted to the "lockup" at 8:00 AM ET. In order to be admitted to the lockup you have to be a credentialed member of a media organization that has signed the DOL lockup agreement. The lockup room is small so there is a limited number of spots.
No phones are allowed. Reporters bring their laptops and connect to a local network; there is a master switch on the wall that prevents/enables Internet connectivity on this network. Once the doors are closed the Unemployment Insurance Weekly Claims Report is distributed, with a heading that announces it is "embargoed" (not to be released) prior to 8:30 AM. Reporters type up their analyses of the report, including extracting key figures like Initial Jobless Claims. They load their write-ups into their companies' software, which prepares to send it out as soon as Internet is enabled. At 8:30 AM the DOL representative in the room flips the wall switch and all of the laptops are connected to the Internet, releasing their write-ups to their companies and on to their companies' partners.
Many of those media companies have externally accessible APIs for distributing news. Media aggregators and squawk services (like RanSquawk and TradeTheNews) subscribe to all of these different APIs and then redistribute the key economic figures from the Report to their own subscribers within one second after Internet is enabled in the DOL lockup.
Some squawk services are text-based while others are audio-based. FinancialJuice.com provides a free audio squawk service; internally they have a paid subscription to a professional squawk service and they simply read out the latest headlines to their own listeners, subsidized by ads on the site. I've been using it for 4 months now and have been pretty happy. It usually lags behind the official release times by 1-2 seconds and occasionally they verbally flub the numbers or stutter and have to repeat, but you can't beat the price!
Important - I’m not affiliated with FinancialJuice and I’m not advocating that you use them over any other squawk. If you use them and they misspeak a number and you lose all your money don’t blame me. If anybody has any other free alternatives please share them!

How the news affects forex markets

Institutional forex traders subscribe to these squawk services and use custom software to consume the emerging data programmatically and then automatically initiate trades based on the perceived change to the fundamentals that the figures represent.
It's important to note that every institution will have "priced in" their own forecasted figures well in advance of an actual news release. Forecasts and consensuses all come out at different times in the days leading up to a news release, so by the time the news drops everybody is really only looking for an unexpected result. You can't really know what any given institution expects the value to be, but unless someone has inside information you can pretty much assume that the market has collectively priced in the experts' consensus. When the news comes out, institutions will trade based on the difference between the actual and their forecast.
Sometimes the news reflects a real change to the fundamentals with an economic effect that will change the demand for a currency, like an interest rate decision. However, in the case of the Initial Jobless Claims figure, which is a backwards-looking metric, trading is really just self-fulfilling speculation that market participants will buy dollars when unemployment is low and sell dollars when unemployment is high. Generally speaking, news that reflects a real economic shift has a bigger effect than news that only matters to speculators.
Massive and extremely fast news-based trades happen within tenths of a second on the ECNs on which institutional traders are participants. Over the next few seconds the resulting price changes trickle down to retail traders. Some economic news, like Non Farm Payroll Employment, has an effect that can last minutes to hours as "slow money" follows behind on the trend created by the "fast money". Other news, like Initial Jobless Claims, has a short impact that trails off within a couple minutes and is subsequently dwarfed by the usual pseudorandom movements in the market.
The bigger the difference between actual and consensus, the bigger the effect on any given currency pair. Since economic news releases generally relate to a single currency, the biggest and most easily predicted effects are seen on pairs where one currency is directly effected and the other is not affected at all. Personally I trade USD/JPY because the time difference between the US and Japan ensures that no news will be coming out of Japan at the same time that economic news is being released in the US.
Before deciding to trade any particular news release you should measure the historical correlation between the release (specifically, the difference between actual and consensus) and the resulting short-term change in the currency pair. Historical data for various news releases (along with historical consensus data) is readily available. You can pay to get it exported into Excel or whatever, or you can scroll through it for free on websites like TradingEconomics.com.
Let's look at two examples: Initial Jobless Claims and Non Farm Payroll Employment (NFP). I collected historical consensuses and actuals for these releases from January 2018 through the present, measured the "surprise" difference for each, and then correlated that to short-term changes in USD/JPY at the time of release using 5 second candles.
I omitted any releases that occurred simultaneously as another major release. For example, occasionally the monthly Initial Jobless Claims comes out at the exact same time as the monthly Balance of Trade figure, which is a more significant economic indicator and can be expected to dwarf the effect of the Unemployment Insurance Weekly Claims Report.
USD/JPY correlation with Initial Jobless Claims (2018 - present)
USD/JPY correlation with Non Farm Payrolls (2018 - present)
The horizontal axes on these charts is the duration (in seconds) after the news release over which correlation was calculated. The vertical axis is the Pearson correlation coefficient: +1 means that the change in USD/JPY over that duration was perfectly linearly correlated to the "surprise" in the releases; -1 means that the change in USD/JPY was perfectly linearly correlated but in the opposite direction, and 0 means that there is no correlation at all.
For Initial Jobless Claims you can see that for the first 30 seconds USD/JPY is strongly negatively correlated with the difference between consensus and actual jobless claims. That is, fewer-than-forecast jobless claims (fewer newly unemployed people than expected) strengthens the dollar and greater-than-forecast jobless claims (more newly unemployed people than expected) weakens the dollar. Correlation then trails off and changes to a moderate/weak positive correlation. I interpret this as algorithms "buying the dip" and vice versa, but I don't know for sure. From this chart it appears that you could profit by opening a trade for 15 seconds (duration with strongest correlation) that is long USD/JPY when Initial Jobless Claims is lower than the consensus and short USD/JPY when Initial Jobless Claims is higher than expected.
The chart for Non Farm Payroll looks very different. Correlation is positive (higher-than-expected payrolls strengthen the dollar and lower-than-expected payrolls weaken the dollar) and peaks at around 45 seconds, then slowly decreases as time goes on. This implies that price changes due to NFP are quite significant relative to background noise and "stick" even as normal fluctuations pick back up.
I wanted to show an example of what the USD/JPY S5 chart looks like when an "uncontested" (no other major simultaneously news release) Initial Jobless Claims and NFP drops, but unfortunately my broker's charts only go back a week. (I can pull historical data going back years through the API but to make it into a pretty chart would be a bit of work.) If anybody can get a 5-second chart of USD/JPY at March 19, 2020, UTC 12:30 and/or at February 7, 2020, UTC 13:30 let me know and I'll add it here.

Backtesting

So without too much effort we determined that (1) USD/JPY is strongly negatively correlated with the Initial Jobless Claims figure for the first 15 seconds after the release of the Unemployment Insurance Weekly Claims Report (when no other major news is being released) and also that (2) USD/JPY is strongly positively correlated with the Non Farms Payroll figure for the first 45 seconds after the release of the Employment Situation report.
Before you can assume you can profit off the news you have to backtest and consider three important parameters.
Entry speed: How quickly can you realistically enter the trade? The correlation performed above was measured from the exact moment the news was released, but realistically if you've got your finger on the trigger and your ear to the squawk it will take a few seconds to hit "Buy" or "Sell" and confirm. If 90% of the price move happens in the first second you're SOL. For back-testing purposes I assume a 5 second delay. In practice I use custom software that opens a trade with one click, and I can reliably enter a trade within 2-3 seconds after the news drops, using the FinancialJuice free squawk.
Minimum surprise: Should you trade every release or can you do better by only trading those with a big enough "surprise" factor? Backtesting will tell you whether being more selective is better long-term or not.
Hold time: The optimal time to hold the trade is not necessarily the same as the time of maximum correlation. That's a good starting point but it's not necessarily the best number. Backtesting each possible hold time will let you find the best one.
The spread: When you're only holding a position open for 30 seconds, the spread will kill you. The correlations performed above used the midpoint price, but in reality you have to buy at the ask and sell at the bid. Brokers aren't stupid and the moment volume on the ECN jumps they will widen the spread for their retail customers. The only way to determine if the news-driven price movements reliably overcome the spread is to backtest.
Stops: Personally I don't use stops, neither take-profit nor stop-loss, since I'm automatically closing the trade after a fixed (and very short) amount of time. Additionally, brokers have a minimum stop distance; the profits from scalping the news are so slim that even the nearest stops they allow will generally not get triggered.
I backtested trading these two news releases (since 2018), using a 5 second entry delay, real historical spreads, and no stops, cycling through different "surprise" thresholds and hold times to find the combination that returns the highest net profit. It's important to maximize net profit, not expected value per trade, so you don't over-optimize and reduce the total number of trades taken to one single profitable trade. If you want to get fancy you can set up a custom metric that combines number of trades, expected value, and drawdown into a single score to be maximized.
For the Initial Jobless Claims figure I found that the best combination is to hold trades open for 25 seconds (that is, open at 5 seconds elapsed and hold until 30 seconds elapsed) and only trade when the difference between consensus and actual is 7k or higher. That leads to 30 trades taken since 2018 and an expected return of... drumroll please... -0.0093 yen per unit per trade.
Yep, that's a loss of approx. $8.63 per lot.
Disappointing right? That's the spread and that's why you have to backtest. Even though the release of the Unemployment Insurance Weekly Claims Report has a strong correlation with movement in USD/JPY, it's simply not something that a retail trader can profit from.
Let's turn to the NFP. There I found that the best combination is to hold trades open for 75 seconds (that is, open at 5 seconds elapsed and hold until 80 seconds elapsed) and trade every single NFP (no minimum "surprise" threshold). That leads to 20 trades taken since 2018 and an expected return of... drumroll please... +0.1306 yen per unit per trade.
That's a profit of approx. $121.25 per lot. Not bad for 75 seconds of work! That's a +6% ROI at 50x leverage.

Make it real

If you want to do this for realsies, you need to run these numbers for all of the major economic news releases. Markit Manufacturing PMI, Factory Orders MoM, Trade Balance, PPI MoM, Export and Import Prices, Michigan Consumer Sentiment, Retail Sales MoM, Industrial Production MoM, you get the idea. You keep a list of all of the releases you want to trade, when they are released, and the ideal hold time and "surprise" threshold. A few minutes before the prescribed release time you open up your broker's software, turn on your squawk, maybe jot a few notes about consensuses and model forecasts, and get your finger on the button. At the moment you hear the release you open the trade in the correct direction, hold it (without looking at the chart!) for the required amount of time, then close it and go on with your day.
Some benefits of trading this way: * Most major economic releases come out at either 8:30 AM ET or 10:00 AM ET, and then you're done for the day. * It's easily backtestable. You can look back at the numbers and see exactly what to expect your return to be. * It's fun! Packing your trading into 30 seconds and knowing that institutions are moving billions of dollars around as fast as they can based on the exact same news you just read is thrilling. * You can wow your friends by saying things like "The St. Louis Fed had some interesting remarks on consumer spending in the latest Beige Book." * No crayons involved.
Some downsides: * It's tricky to be fast enough without writing custom software. Some broker software is very slow and requires multiple dialog boxes before a position is opened, which won't cut it. * The profits are very slim, you're not going to impress your instagram followers to join your expensive trade copying service with your 30-second twice-weekly trades. * Any friends you might wow with your boring-ass economic talking points are themselves the most boring people in the world.
I hope you enjoyed this long as fuck post and you give trading economic news a try!
submitted by thicc_dads_club to Forex [link] [comments]

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submitted by ViralMedia007 to FREECoursesEveryday [link] [comments]

Hibiscus Petroleum Berhad (5199.KL)


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/

Company Snapshot

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, Reserves are “… 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:
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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.
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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
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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
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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:
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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:
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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.
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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:
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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 of RM 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).
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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 billion approximates the accumulated Net Profit recoverable from 2P reserves.
To conclude Valuation (Method 2), we arrive at the following:

Our estimates Management estimates
Accumulated Net Profit from 2P Reserves RM 1.452 billion RM 1.468 billion

Financials

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.
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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).
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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.
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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).

Risks

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
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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.

Opportunities

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
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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.
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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:
FY20 FY21 (incl. 2C) Difference
Daily oil production (bbl/day) 8,626 14,400 +66%
Average oil price (USD/bbl) $68.57 $50 -27%
Average OPEX/bbl (USD) $16.64 $20 +20%
EBITDA (RM ‘m) 632 630 -
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.

Conclusion

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.
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HOW TO USE VOLUME TO WIN 75% OF TRADES IN FOREX! - YouTube

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