How to Use Exponential Moving Averages in Forex Trading

How to be profitable in Forex: High-probability trading.

Hello guys,
I see a lot of posts here either of new traders or non-profitable traders. Some people here even believe trading is gambling and it is impossible to be constantly profitable. I have been trading forex for a few years now and I have fallen into every trap you could imagine: Overtrading, too many indicators, no backtesting, anger trades, etc.. burned a few accounts and finally managed to be constantly profitable on a large period of time. That is why I decided to make a very quick guide on how I think everyone can achieve profitability.
High-probability trading is a very simple concept: Only take trades when stars align. I'd recommend focusing on a very few setups that have proven to be profitable, and to not trade if the setup isn't perfect. If you think there is a slight chance you could lose a trade, then do not take it. The most important rule is to have 100% confidence in your trades, so you are not disappointed when you lose one because you know you followed your guidances.
I am a full-time trader. I mostly look at the 5-minutes, 15-minutes, and 1-hour charts, and I watch all major currency pairs 10 hours a day. You'd assume I take a lot of trades because so many setups form each day, well I do not. I take 2 to 3 trades a week for a duration of 1 to 4 hours per trade. But because these trades are more likely to be profitable, I have a good monthly return.
Now we all have our own strategy and I'm not here to review yours. Just think of how you could make your strategy a high-probability one. If you take a trade at each trading session and you have less than 65% of winning rate, then you can certainly improve your guidances. Here are the two most important rules you must follow:
- Always trade with the trend on all your timeframes, and at least a higher one. If I take a trade on the 5-minutes, 15-minutes and 1-hour charts, I want to make sure I'm with the 5-minutes, 15-minutes, 1-hour and 4-hour trends. A 200-periods exponential moving average on each timeframe should do the trick to ensure that.
- Confluence. This is for me the most profitable rule of trading. Confluence is when you have two or more levels coming together and therefore making a confluence point. For example, if you are trading the retest of a bullish trendline on the 1-hour chart, a confluence point could be where the price: retests the 1-hour bull trendline, breaks the 15-minutes bear trendline, retests the 1-hour 50-period EMA, breaks the 15-minutes 50-period EMA with a bullish marubozu candlestick, with an RSI bullish divergence at an oversold level, and a retest of a support. Now this would be a crazy setup, but even when a few stars align in a confluence point the trade is high-probability.
Thank you for reading.
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What is the fastest and most reliable indicator you guys have come across?

These are the ones I have tried:
  1. Schaff Trend
  2. ADX
  3. MACD
  4. 3 EMA Crossover
  5. TEMA VWMA
The aim is to get a 1% daily return.
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GBP/USD POTENTIAL +3.4% UPSIDE

THE BRITISH POUND SURGES FROM THE ASHES WITH A BULL MARUBUZO, AFTER A DOJI DRAGONFLY CANDLESTICK, ON THE BACK OF STRONGER THAN EXPECTED CPI DATA, SIGNAL THAT UK CONSUMERS HAVE BEEN SPENDING, WHILE THE POSSIBILITY OF THE UK ECONOMY REBOUNDING DECENTLY, GIVEN ALSO THE POTENTIAL AVAILABILITY OF A UK MADE VACCINE READY TO BE DEPLOYED IN WINTER Q4.THE GBP/USD CHART HINTS TO FEW TECHNICAL POINTS THAT SUPPORT THE BUY SIGNAL IN THE BRITISH POUND: THE RSI(14) OSCILLATOR MOVES HIGHER ON A DOUBLE BOTTOM PATTERN, THE ICHIMOKU TENKAN LINE PROVIDES SUPPORT, WHILE ALSO HAVING MOVED THROUGH THE IKH KIJUN LINE AS A BUY SIGNAL, FURTHERMORE CLEARING OFF THE GBP/USD 1.2698 200 DAYS MOVING AVERAGE CAN EVENTUALLY GIVE A CONSISTENT BUY SIGNAL WITH CONCRETE MARKET POSSIBILITY OF CABLE MOVING TOWARD GBP/USD 1.30 IN A +3.0%.HAVING SAID THAT, WORTH TO NOTICE THAT IN THE LONGER TERM, A PERMANENT BUY SIGNAL FOR THE POUND WOULD REQUIRE A FLOOR EXCHANGE RATE OF GBP/USD 1.40 AND ABOVE, THEREOF A SHORT TERM UPSIDE MOVE +3.0% TO GBP/USD 1.30 DOES NOT PROVIDE A LONGER HORIZON FORECAST; IN SO A CONSISTENT CHANGE IN THE BRITISH WILL REQUIRE AN OVERALL LONGER TERM CHANGE IN MARKET POSITIONING AMONG ASSETS MANAGERS/INSTITUTIONAL INVESTORS AND LEVERAGED FUND THAT HAVE HEAVILY SKEWED POSITION SHORT ON GBP/USD. IN FACT FOR AN OVERALL 105 MOST RELEVANT FOREX MARKETS INVESTORS, 57 BETWEEN ASSETS MANAGERS/INSTITUTIONAL AND LEVERAGE FUNDS ARE CONSISTENTLY SHORT ON THE BRITISH POUND FOR AN OVERALL 128,805 CONTRACTS IN A TOTAL 180,969 CONTRACTS.

Technical Indicators

NameValueAction
RSI(14)60.081Buy
STOCH(9,6)76.362Buy
STOCHRSI(14)99.545Overbought
MACD(12,26)0.005Buy
ADX(14)25.732Neutral
Williams %R-6.794Overbought
CCI(14)101.9183Buy
ATR(14)0.0104Less Volatility
Highs/Lows(14)0.0092Buy
Ultimate Oscillator56.632Buy
ROC1.808Buy
Bull/Bear Power(13)0.0109Buy
Buy: 8 Sell: 0 Neutral: 1
Summary:STRONG BUY

Moving Averages

PeriodSimpleExponential
MA51.2595
Buy
1.2588
Buy
MA101.2557
Buy
1.2556
Buy
MA201.2484
Buy
1.2524
Buy
MA501.2442
Buy
1.2476
Buy
MA1001.2426
Buy
1.2522
Buy
MA2001.2704
Sell
1.2605
Buy
Buy: Sell:
Summary:BUY

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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:
https://preview.redd.it/o8qejdyc8br41.png?width=710&format=png&auto=webp&s=b3ab9be8f83badf0206adc982feda3a558d43e78
Basically, what the company is saying here is that by 2021, it will have classified as 2P reserves at least 23.7 million bbl from its Anasuria field and 20.5 million bbl from its North Sabah field – for total 2P reserves of 44.2 million bbl (we are ignoring the Australian VIC cluster as it is only estimated to reach first oil by 2022).
Furthermore, the company is stating that they have discovered (but not yet legally classified as “commercial”) a further 71 million bbl of oil from both the Anasuria and North Sabah fields, as well as the Marigold/Sunflower fields. If we include these 2C resources, the total potential recoverable oil volumes could exceed 100 million bbl.
In this report, we shall explore all valuation scenarios giving consideration to both 2P and 2C resources.
https://preview.redd.it/gk54qplf8br41.png?width=489&format=png&auto=webp&s=c905b7a6328432218b5b9dfd53cc9ef1390bd604
The company further targets a 2021 production rate of 20,000 bbl (LTM: 8,000 bbl), which includes 5,000 bbl from its Anasuria field (LTM: 2,500 bbl) and 7,000 bbl from its North Sabah field (LTM: 5,300 bbl).
This is a substantial increase in forecasted production from both existing and prospective oil fields. If it materializes, annual production rate could be as high as 7,300 mmbbl, and 2021 revenues (given FY20 USD/bbl of $60) could exceed RM 1.5 billion (FY20: RM 988 million).
However, this targeted forecast is quite a stretch from current production levels. Nevertheless, we shall consider all provided information in estimating a valuation for Hibiscus.
To understand Hibiscus’s oil production capacity and forecast its revenues and profits, we need to have a better appreciation of the performance of its two main cash-generating assets – the North Sabah field and the Anasuria field.

North Sabah oil field
https://preview.redd.it/62nssexj8br41.png?width=1003&format=png&auto=webp&s=cd78f86d51165fb9a93015e49496f7f98dad64dd
Hibiscus owns a 50% interest in the North Sabah field together with its partner Petronas, and has production rights over the field up to year 2040. The asset contains 4 oil fields, namely the St Joseph field, South Furious field, SF 30 field and Barton field.
For the sake of brevity, we shall not delve deep into the operational aspects of the fields or the contractual nature of its production sharing contract (PSC). We’ll just focus on the factors which relate to its financial performance. These are:
· Average uptime
· Total oil sold
· Average realized oil price
· Average OPEX per bbl
With regards to average uptime, we can see that the company maintains relative high facility availability, exceeding 90% uptime in all quarters of the LTM with exception of Jul-Sep 2019. The dip in average uptime was due to production enhancement projects and maintenance activities undertaken to improve the production capacity of the St Joseph and SF30 oil fields.
Hence, we can conclude that management has a good handle on operational performance. It also implies that there is little room for further improvement in production resulting from increased uptime.
As North Sabah is under a production sharing contract (PSC), there is a distinction between gross oil production and net oil production. The former relates to total oil drawn out of the ground, whereas the latter refers to Hibiscus’s share of oil production after taxes, royalties and expenses are accounted for. In this case, we want to pay attention to net oil production, not gross.
We can arrive at Hibiscus’s total oil sold for the last twelve months (LTM) by adding up the total oil sold for each of the last 4 quarters. Summing up the figures yields total oil sold for the LTM of approximately 2,075,305 bbl.
Then, we can arrive at an average realized oil price over the LTM by averaging the average realized oil price for the last 4 quarters, giving us an average realized oil price over the LTM of USD 68.57/bbl. We can do the same for average OPEX per bbl, giving us an average OPEX per bbl over the LTM of USD 13.23/bbl.
Thus, we can sum up the above financial performance of the North Sabah field with the following figures:
· Total oil sold: 2,075,305 bbl
· Average realized oil price: USD 68.57/bbl
· Average OPEX per bbl: USD 13.23/bbl

Anasuria oil field
https://preview.redd.it/586u4kfo8br41.png?width=1038&format=png&auto=webp&s=7580fc7f7df7e948754d025745a5cf47d4393c0f
Doing the same exercise as above for the Anasuria field, we arrive at the following financial performance for the Anasuria field:
· Total oil sold: 1,073,304 bbl
· Average realized oil price: USD 63.57/bbl
· Average OPEX per bbl: USD 23.22/bbl
As gas production is relatively immaterial, and to be conservative, we shall only consider the crude oil production from the Anasuria field in forecasting revenues.

Valuation (Method 1)

Putting the figures from both oil fields together, we get the following data:
https://preview.redd.it/7y6064dq8br41.png?width=700&format=png&auto=webp&s=2a4120563a011cf61fc6090e1cd5932602599dc2
Given that we have determined LTM EBITDA of RM 632m, the next step would be to subtract ITDA (interest, tax, depreciation & amortization) from it to obtain estimated LTM Net Profit. Using FY2020’s ITDA of approximately RM 318m as a guideline, we arrive at an estimated LTM Net Profit of RM 314m (FY20: 230m). Given the current market capitalization of RM 714.7m, this implies a trailing LTM PE of 2.3x.
Performing a sensitivity analysis given different oil prices, we arrive at the following net profit table for the company under different oil price scenarios, assuming oil production rate and ITDA remain constant:
https://preview.redd.it/xixge5sr8br41.png?width=433&format=png&auto=webp&s=288a00f6e5088d01936f0217ae7798d2cfcf11f2
From the above exercise, it becomes apparent that Hibiscus has a breakeven oil price of about USD 41.8863/bbl, and has a lot of operating leverage given the exponential rate of increase in its Net Profit with each consequent increase in oil prices.
Considering that the oil production rate (EBITDA) is likely to increase faster than ITDA’s proportion to revenues (fixed costs), at an implied PE of 4.33x, it seems likely that an investment in Hibiscus will be profitable over the next 10 years (with the assumption that oil prices will revert to the mean in the long-term).

Valuation (Method 2)

Of course, there are a lot of assumptions behind the above method of valuation. Hence, it would be prudent to perform multiple methods of valuation and compare the figures to one another.
As opposed to the profit/loss assessment in Valuation (Method 1), another way of performing a valuation would be to estimate its balance sheet value, i.e. total revenues from 2P Reserves, and assign a reasonable margin to it.
https://preview.redd.it/o2eiss6u8br41.png?width=710&format=png&auto=webp&s=03960cce698d9cedb076f3d5f571b3c59d908fa8
From the above, we understand that Hibiscus’s 2P reserves from the North Sabah and Anasuria fields alone are approximately 44.2 mmbbl (we ignore contribution from Australia’s VIC cluster as it hasn’t been developed yet).
Doing a similar sensitivity analysis of different oil prices as above, we arrive at the following estimated total revenues and accumulated net profit:
https://preview.redd.it/h8hubrmw8br41.png?width=450&format=png&auto=webp&s=6d23f0f9c3dafda89e758b815072ba335467f33e
Let’s assume that the above average of RM 9.68 billion in total realizable revenues from current 2P reserves holds true. If we assign a conservative Net Profit margin of 15% (FY20: 23%; past 5 years average: 16%), we arrive at estimated accumulated Net Profit from 2P Reserves 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).
https://preview.redd.it/hse8ttb09br41.png?width=881&format=png&auto=webp&s=82e48b5961c905fe9273cb6346368de60202ebec
Quite coincidentally, one might observe that this figure is dangerously close to the estimated accumulated Net Profit from 2P Reserves of RM 1.452 billion we calculated earlier. But why would this amount matter at all?
To answer that, I refer you to the notes of the Annual Report FY20 (AR20). On page 148 of the AR20, we find the following two paragraphs:
E&E assets comprise of rights and concession and conventional studies. Following the acquisition of a concession right to explore a licensed area, the costs incurred such as geological and geophysical surveys, drilling, commercial appraisal costs and other directly attributable costs of exploration and appraisal including technical and administrative costs, are capitalised as conventional studies, presented as intangible assets.
E&E assets are assessed for impairment when facts and circumstances suggest that the carrying amount of an E&E asset may exceed its recoverable amount. The Group will allocate E&E assets to cash generating unit (“CGU”s or groups of CGUs for the purpose of assessing such assets for impairment. Each CGU or group of units to which an E&E asset is allocated will not be larger than an operating segment as disclosed in Note 39 to the financial statements.)
Hence, we can determine that firstly, the intangible asset value represents capitalized costs of acquisition of the oil fields, including technical exploration costs and costs of acquiring the relevant licenses. Secondly, an impairment review will be carried out when “the carrying amount of an E&E asset may exceed its recoverable amount”, with E&E assets being allocated to “cash generating units” (CGU) for the purposes of assessment.
On page 169 of the AR20, we find the following:
Carrying amounts of the Group’s intangible assets, oil and gas assets and FPSO are reviewed for possible impairment annually including any indicators of impairment. For the purpose of assessing impairment, assets are grouped at the lowest level CGUs for which there is a separately identifiable cash flow available. These CGUs are based on operating areas, represented by the 2011 North Sabah EOR PSC (“North Sabah”, the Anasuria Cluster, the Marigold and Sunflower fields, the VIC/P57 exploration permit (“VIC/P57”) and the VIC/L31 production license (“VIC/L31”).)
So apparently, the CGUs that have been assigned refer to the respective oil producing fields, two of which include the North Sabah field and the Anasuria field. In order to perform the impairment review, estimates of future cash flow will be made by management to assess the “recoverable amount” (as described above), subject to assumptions and an appropriate discount rate.
Hence, what we can gather up to now is that management will estimate future recoverable cash flows from a CGU (i.e. the North Sabah and Anasuria oil fields), compare that to their carrying value, and perform an impairment if their future recoverable cash flows are less than their carrying value. In other words, if estimated accumulated profits from the North Sabah and Anasuria oil fields are less than their carrying value, an impairment is required.
So where do we find the carrying values for the North Sabah and Anasuria oil fields? Further down on page 184 in the AR20, we see the following:
Included in rights and concession are the carrying amounts of producing field licenses in the Anasuria Cluster amounting to RM668,211,518 (2018: RM687,664,530, producing field licenses in North Sabah amounting to RM471,031,008 (2018: RM414,333,116))
Hence, we can determine that the carrying values for the North Sabah and Anasuria oil fields are RM 471m and RM 668m respectively. But where do we find the future recoverable cash flows of the fields as estimated by management, and what are the assumptions used in that calculation?
Fortunately, we find just that on page 185:
17 INTANGIBLE ASSETS (CONTINUED)
(a Anasuria Cluster)
The Directors have concluded that there is no impairment indicator for Anasuria Cluster during the current financial year. In the previous financial year, due to uncertainties in crude oil prices, the Group has assessed the recoverable amount of the intangible assets, oil and gas assets and FPSO relating to the Anasuria Cluster. The recoverable amount is determined using the FVLCTS model based on discounted cash flows (“DCF” derived from the expected cash in/outflow pattern over the production lives.)
The key assumptions used to determine the recoverable amount for the Anasuria Cluster were as follows:
(i Discount rate of 10%;)
(ii Future cost inflation factor of 2% per annum;)
(iii Oil price forecast based on the oil price forward curve from independent parties; and,)
(iv Oil production profile based on the assessment by independent oil and gas reserve experts.)
Based on the assessments performed, the Directors concluded that the recoverable amount calculated based on the valuation model is higher than the carrying amount.
(b North Sabah)
The acquisition of the North Sabah assets was completed in the previous financial year. Details of the acquisition are as disclosed in Note 15 to the financial statements.
The Directors have concluded that there is no impairment indicator for North Sabah during the current financial year.
Here, we can see that the recoverable amount of the Anasuria field was estimated based on a DCF of expected future cash flows over the production life of the asset. The key assumptions used by management all seem appropriate, including a discount rate of 10% and oil price and oil production estimates based on independent assessment. From there, management concludes that the recoverable amount of the Anasuria field is higher than its carrying amount (i.e. no impairment required). Likewise, for the North Sabah field.
How do we interpret this? Basically, what management is saying is that given a 10% discount rate and independent oil price and oil production estimates, the accumulated profits (i.e. recoverable amount) from both the North Sabah and the Anasuria fields exceed their carrying amounts of RM 471m and RM 668m respectively.
In other words, according to management’s own estimates, the carrying value of the Intangible Assets of RM 1.468 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.
https://preview.redd.it/h689bss79br41.png?width=810&format=png&auto=webp&s=ed47fce6a5c3815dd3d4f819e31f1ce39ccf4a0b
Income Statement
First, we’ll start with the Income Statement on page 135 of the AR20. Revenues are straightforward, as we’ve discussed above. Cost of Sales and Administrative Expenses fall under the jurisdiction of OPEX, which we’ve also seen earlier. Other Expenses are mostly made up of Depreciation & Amortization of RM 115m.
Finance Costs are where things start to get tricky. Why does a company which carries no debt have such huge amounts of finance costs? The reason can be found in Note 8, where it is revealed that the bulk of finance costs relate to the unwinding of discount of provision for decommissioning costs of RM 25m (Note 32).
https://preview.redd.it/4omjptbe9br41.png?width=1019&format=png&auto=webp&s=eaabfc824134063100afa62edfd36a34a680fb60
This actually refers to the expected future costs of restoring the Anasuria and North Sabah fields to their original condition once the oil reserves have been depleted. Accounting standards require the company to provide for these decommissioning costs as they are estimable and probable. The way the decommissioning costs are accounted for is the same as an amortized loan, where the initial carrying value is recognized as a liability and the discount rate applied is reversed each year as an expense on the Income Statement. However, these expenses are largely non-cash in nature and do not necessitate a cash outflow every year (FY20: RM 69m).
Unwinding of discount on non-current other payables of RM 12m relate to contractual payments to the North Sabah sellers. We will discuss it later.
Taxation is another tricky subject, and is even more significant than Finance Costs at RM 161m. In gist, Hibiscus is subject to the 38% PITA (Petroleum Income Tax Act) under Malaysian jurisdiction, and the 30% Petroleum tax + 10% Supplementary tax under UK jurisdiction. Of the RM 161m, RM 41m of it relates to deferred tax which originates from the difference between tax treatment and accounting treatment on capitalized assets (accelerated depreciation vs straight-line depreciation). Nonetheless, what you should take away from this is that the tax expense is a tangible expense and material to breakeven analysis.
Fortunately, tax is a variable expense, and should not materially impact the cash flow of Hibiscus in today’s low oil price environment.
Note: Cash outflows for Tax Paid in FY20 was RM 97m, substantially below the RM 161m tax expense.
https://preview.redd.it/1xrnwzm89br41.png?width=732&format=png&auto=webp&s=c078bc3e18d9c79d9a6fbe1187803612753f69d8
Balance Sheet
The balance sheet of Hibiscus is unexciting; I’ll just bring your attention to those line items which need additional scrutiny. I’ll use the figures in the latest 2Q21 quarterly report (2Q21) and refer to the notes in AR20 for clarity.
We’ve already discussed Intangible Assets in the section above, so I won’t dwell on it again.
Moving on, the company has Equipment of RM 582m, largely relating to O&G assets (e.g. the Anasuria FPSO vessel and CAPEX incurred on production enhancement projects). Restricted cash and bank balances represent contractual obligations for decommissioning costs of the Anasuria Cluster, and are inaccessible for use in operations.
Inventories are relatively low, despite Hibiscus being an E&P company, so forex fluctuations on carrying value of inventories are relatively immaterial. Trade receivables largely relate to entitlements from Petronas and BP (both oil supermajors), and are hence quite safe from impairment. Other receivables, deposits and prepayments are significant as they relate to security deposits placed with sellers of the oil fields acquired; these should be ignored for cash flow purposes.
Note: Total cash and bank balances do not include approximately RM 105 m proceeds from the North Sabah December 2019 offtake (which was received in January 2020)
Cash and bank balances of RM 90m do not include RM 105m of proceeds from offtake received in 3Q21 (Jan 2020). Hence, the actual cash and bank balances as of 2Q21 approximate RM 200m.
Liabilities are a little more interesting. First, I’ll draw your attention to the significant Deferred tax liabilities of RM 457m. These largely relate to the amortization of CAPEX (i.e. Equipment and capitalized E&E expenses), which is given an accelerated depreciation treatment for tax purposes.
The way this works is that the government gives Hibiscus a favorable tax treatment on capital expenditures incurred via an accelerated depreciation schedule, so that the taxable income is less than usual. However, this leads to the taxable depreciation being utilized quicker than accounting depreciation, hence the tax payable merely deferred to a later period – when the tax depreciation runs out but accounting depreciation remains. Given the capital intensive nature of the business, it is understandable why Deferred tax liabilities are so large.
We’ve discussed Provision for decommissioning costs under the Finance Costs section earlier. They are also quite significant at RM 266m.
Notably, the Other Payables and Accruals are a hefty RM 431m. What do they relate to? Basically, they are contractual obligations to the sellers of the oil fields which are only payable upon oil prices reaching certain thresholds. Hence, while they are current in nature, they will only become payable when oil prices recover to previous highs, and are hence not an immediate cash outflow concern given today’s low oil prices.
Cash Flow Statement
There is nothing in the cash flow statement which warrants concern.
Notably, the company generated OCF of approximately RM 500m in FY20 and RM 116m in 2Q21. It further incurred RM 330m and RM 234m of CAPEX in FY20 and 2Q21 respectively, largely owing to production enhancement projects to increase the production rate of the Anasuria and North Sabah fields, which according to management estimates are accretive to ROI.
Tax paid was RM 97m in FY20 and RM 61m in 2Q21 (tax expense: RM 161m and RM 62m respectively).

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
https://preview.redd.it/gxnekd6h9br41.png?width=670&format=png&auto=webp&s=edbfb9621a43480d11e3b49de79f61a6337b3d51
The above table shows different EBITDA scenarios (RM ‘m) given different oil prices (left column) and USD:MYR exchange rates (top row). Currently, oil prices are $27 and USD:MYR is 1:4.36.
Given conservative assumptions of average OPEX/bbl of $20 (current: $15), we can safely say that the company will be loss-making as long as oil remains at $20 or below (red). However, we can see that once oil prices hit $25, the company can tank the lower-end estimate of the annual burn rate of RM 50m (orange), while at RM $27 it can sufficiently muddle through the higher-end estimate of the annual burn rate of RM 70m (green).
Hence, we can assume that as long as the average oil price over the next 3-4 years remains above $25, Hibiscus should come out of this fine without the need for any external financing.
Customer Concentration Risk
With regards to customer concentration risk, there is not much the analyst or investor can do except to accept the risk. Fortunately, 80% of revenues can be attributed to two oil supermajors (Petronas and BP), hence the risk of default on contractual obligations and trade receivables seems to be quite diminished.
2P Reserves being less than estimated
2P Reserves being less than estimated is another risk that one should keep in mind. Fortunately, the current market cap is merely RM 714m – at half of estimated recoverable amounts of RM 1.468 billion – so there’s a decent margin of safety. In addition, there are other mitigating factors which shall be discussed in the next section (‘Opportunities’).
Significant non-current and current liabilities
The significant non-current and current liabilities have been addressed in the previous section. It has been determined that they pose no threat to immediate cash flow due to them being long-term in nature (e.g. decommissioning costs, deferred tax, etc). Hence, for the purpose of assessing going concern, their amounts should not be a cause for concern.
Potential issuance of equity
Finally, we come to the possibility of external financing being required in this low oil price environment. While the company should last 3-4 years on existing cash reserves, there is always the risk of other black swan events materializing (e.g. coronavirus) or simply oil prices remaining muted for longer than 4 years.
Furthermore, management has hinted that they wish to acquire new oil assets at presently depressed prices to increase daily production rate to a targeted 20,000 bbl by end-2021. They have room to acquire debt, but they may also wish to issue equity for this purpose. Hence, the possibility of dilution to existing shareholders cannot be entirely ruled out.
However, given management’s historical track record of prioritizing ROI and optimal capital allocation, and in consideration of the fact that the MD owns 10% of outstanding shares, there is some assurance that any potential acquisitions will be accretive to EPS and therefore valuations.

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
https://preview.redd.it/jnpfhr5n9br41.png?width=814&format=png&auto=webp&s=bbe4b512bc17f576d87529651140cc74cde3d159
The left column represents different oil prices while the top row represents different daily oil production rates.
The green column represents EBITDA at current daily production rate of 8,000 bbl/day; the orange column represents EBITDA at targeted daily production rate of 12,000 bbl/day; while the purple column represents EBITDA at maximum daily production rate of 20,000 bbl/day.
Even conservatively assuming increased estimated annual ITDA of RM 500m (FY20: RM 318m), and long-term average oil prices of $50 (FY20: $60), the estimated Net Profit and P/E ratio is potentially lucrative at daily oil production rates of 12,000 bbl/day and above.
2C Resources
Since we’re on the topic of improved daily oil production rate, it bears to pay in mind the relatively enormous potential from Hibiscus’s 2C Resources. North Sabah’s 2C Resources alone exceed 30 mmbbl; while those from the yet undiagnosed Marigold/Sunflower fields also reach 30 mmbbl. Altogether, 2C Resources exceed 70 mmbbl, which dwarfs the 44 mmbbl of 2P Reserves we have considered up to this point in our valuation estimates.
To refresh your memory, 2C Resources represents oil volumes which have been discovered but are not yet classified as “commercial”. This means that there is reasonable certainty of the oil being recoverable, as opposed to simply being in the very early stages of exploration. So, to be conservative, we will imagine that only 50% of 2C Resources are eligible for reclassification to 2P reserves, i.e. 35 mmbbl of oil.
https://preview.redd.it/mto11iz7abr41.png?width=375&format=png&auto=webp&s=e9028ab0816b3d3e25067447f2c70acd3ebfc41a
This additional 35 mmbbl of oil represents an 80% increase to existing 2P reserves. Assuming the daily oil production rate increases similarly by 80%, we will arrive at 14,400 bbl/day of oil production. According to Table 2 above, this would yield an EBITDA of roughly RM 630m assuming $50 oil.
Comparing that estimated EBITDA to FY20’s actual EBITDA:
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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Where is Bitcoin Going and When?

Where is Bitcoin Going and When?

The Federal Reserve and the United States government are pumping extreme amounts of money into the economy, already totaling over $484 billion. They are doing so because it already had a goal to inflate the United States Dollar (USD) so that the market can continue to all-time highs. It has always had this goal. They do not care how much inflation goes up by now as we are going into a depression with the potential to totally crash the US economy forever. They believe the only way to save the market from going to zero or negative values is to inflate it so much that it cannot possibly crash that low. Even if the market does not dip that low, inflation serves the interest of powerful people.
The impending crash of the stock market has ramifications for Bitcoin, as, though there is no direct ongoing-correlation between the two, major movements in traditional markets will necessarily affect Bitcoin. According to the Blockchain Center’s Cryptocurrency Correlation Tool, Bitcoin is not correlated with the stock market. However, when major market movements occur, they send ripples throughout the financial ecosystem which necessary affect even ordinarily uncorrelated assets.
Therefore, Bitcoin will reach X price on X date after crashing to a price of X by X date.

Stock Market Crash

The Federal Reserve has caused some serious consternation with their release of ridiculous amounts of money in an attempt to buoy the economy. At face value, it does not seem to have any rationale or logic behind it other than keeping the economy afloat long enough for individuals to profit financially and politically. However, there is an underlying basis to what is going on which is important to understand in order to profit financially.
All markets are functionally price probing systems. They constantly undergo a price-discovery process. In a fiat system, money is an illusory and a fundamentally synthetic instrument with no intrinsic value – similar to Bitcoin. The primary difference between Bitcoin is the underlying technology which provides a slew of benefits that fiat does not. Fiat, however, has an advantage in being able to have the support of powerful nation-states which can use their might to insure the currency’s prosperity.
Traditional stock markets are composed of indices (pl. of index). Indices are non-trading market instruments which are essentially summaries of business values which comprise them. They are continuously recalculated throughout a trading day, and sometimes reflected through tradable instruments such as Exchange Traded Funds or Futures. Indices are weighted by market capitalizations of various businesses.
Price theory essentially states that when a market fails to take out a new low in a given range, it will have an objective to take out the high. When a market fails to take out a new high, it has an objective to make a new low. This is why price-time charts go up and down, as it does this on a second-by-second, minute-by-minute, day-by-day, and even century-by-century basis. Therefore, market indices will always return to some type of bull market as, once a true low is formed, the market will have a price objective to take out a new high outside of its’ given range – which is an all-time high. Instruments can only functionally fall to zero, whereas they can grow infinitely.
So, why inflate the economy so much?
Deflation is disastrous for central banks and markets as it raises the possibility of producing an overall price objective of zero or negative values. Therefore, under a fractional reserve system with a fiat currency managed by a central bank – the goal of the central bank is to depreciate the currency. The dollar is manipulated constantly with the intention of depreciating its’ value.
Central banks have a goal of continued inflated fiat values. They tend to ordinarily contain it at less than ten percent (10%) per annum in order for the psyche of the general populace to slowly adjust price increases. As such, the markets are divorced from any other logic. Economic policy is the maintenance of human egos, not catering to fundamental analysis. Gross Domestic Product (GDP) growth is well-known not to be a measure of actual growth or output. It is a measure of increase in dollars processed. Banks seek to produce raising numbers which make society feel like it is growing economically, making people optimistic. To do so, the currency is inflated, though inflation itself does not actually increase growth. When society is optimistic, it spends and engages in business – resulting in actual growth. It also encourages people to take on credit and debts, creating more fictional fiat.
Inflation is necessary for markets to continue to reach new heights, generating positive emotional responses from the populace, encouraging spending, encouraging debt intake, further inflating the currency, and increasing the sale of government bonds. The fiat system only survives by generating more imaginary money on a regular basis.
Bitcoin investors may profit from this by realizing that stock investors as a whole always stand to profit from the market so long as it is managed by a central bank and does not collapse entirely. If those elements are filled, it has an unending price objective to raise to new heights. It also allows us to realize that this response indicates that the higher-ups believe that the economy could crash in entirety, and it may be wise for investors to have multiple well-thought-out exit strategies.

Economic Analysis of Bitcoin

The reason why the Fed is so aggressively inflating the economy is due to fears that it will collapse forever or never rebound. As such, coupled with a global depression, a huge demand will appear for a reserve currency which is fundamentally different than the previous system. Bitcoin, though a currency or asset, is also a market. It also undergoes a constant price-probing process. Unlike traditional markets, Bitcoin has the exact opposite goal. Bitcoin seeks to appreciate in value and not depreciate. This has a quite different affect in that Bitcoin could potentially become worthless and have a price objective of zero.
Bitcoin was created in 2008 by a now famous mysterious figure known as Satoshi Nakamoto and its’ open source code was released in 2009. It was the first decentralized cryptocurrency to utilize a novel protocol known as the blockchain. Up to one megabyte of data may be sent with each transaction. It is decentralized, anonymous, transparent, easy to set-up, and provides myriad other benefits. Bitcoin is not backed up by anything other than its’ own technology.
Bitcoin is can never be expected to collapse as a framework, even were it to become worthless. The stock market has the potential to collapse in entirety, whereas, as long as the internet exists, Bitcoin will be a functional system with a self-authenticating framework. That capacity to persist regardless of the actual price of Bitcoin and the deflationary nature of Bitcoin means that it has something which fiat does not – inherent value.
Bitcoin is based on a distributed database known as the “blockchain.” Blockchains are essentially decentralized virtual ledger books, replete with pages known as “blocks.” Each page in a ledger is composed of paragraph entries, which are the actual transactions in the block.
Blockchains store information in the form of numerical transactions, which are just numbers. We can consider these numbers digital assets, such as Bitcoin. The data in a blockchain is immutable and recorded only by consensus-based algorithms. Bitcoin is cryptographic and all transactions are direct, without intermediary, peer-to-peer.
Bitcoin does not require trust in a central bank. It requires trust on the technology behind it, which is open-source and may be evaluated by anyone at any time. Furthermore, it is impossible to manipulate as doing so would require all of the nodes in the network to be hacked at once – unlike the stock market which is manipulated by the government and “Market Makers”. Bitcoin is also private in that, though the ledge is openly distributed, it is encrypted. Bitcoin’s blockchain has one of the greatest redundancy and information disaster recovery systems ever developed.
Bitcoin has a distributed governance model in that it is controlled by its’ users. There is no need to trust a payment processor or bank, or even to pay fees to such entities. There are also no third-party fees for transaction processing. As the ledge is immutable and transparent it is never possible to change it – the data on the blockchain is permanent. The system is not easily susceptible to attacks as it is widely distributed. Furthermore, as users of Bitcoin have their private keys assigned to their transactions, they are virtually impossible to fake. No lengthy verification, reconciliation, nor clearing process exists with Bitcoin.
Bitcoin is based on a proof-of-work algorithm. Every transaction on the network has an associated mathetical “puzzle”. Computers known as miners compete to solve the complex cryptographic hash algorithm that comprises that puzzle. The solution is proof that the miner engaged in sufficient work. The puzzle is known as a nonce, a number used only once. There is only one major nonce at a time and it issues 12.5 Bitcoin. Once it is solved, the fact that the nonce has been solved is made public.
A block is mined on average of once every ten minutes. However, the blockchain checks every 2,016,000 minutes (approximately four years) if 201,600 blocks were mined. If it was faster, it increases difficulty by half, thereby deflating Bitcoin. If it was slower, it decreases, thereby inflating Bitcoin. It will continue to do this until zero Bitcoin are issued, projected at the year 2140. On the twelfth of May, 2020, the blockchain will halve the amount of Bitcoin issued when each nonce is guessed. When Bitcoin was first created, fifty were issued per block as a reward to miners. 6.25 BTC will be issued from that point on once each nonce is solved.
Unlike fiat, Bitcoin is a deflationary currency. As BTC becomes scarcer, demand for it will increase, also raising the price. In this, BTC is similar to gold. It is predictable in its’ output, unlike the USD, as it is based on a programmed supply. We can predict BTC’s deflation and inflation almost exactly, if not exactly. Only 21 million BTC will ever be produced, unless the entire network concedes to change the protocol – which is highly unlikely.
Some of the drawbacks to BTC include congestion. At peak congestion, it may take an entire day to process a Bitcoin transaction as only three to five transactions may be processed per second. Receiving priority on a payment may cost up to the equivalent of twenty dollars ($20). Bitcoin mining consumes enough energy in one day to power a single-family home for an entire week.

Trading or Investing?

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 article, 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. In order to determine when the stock market will crash, causing a major decline in BTC price, 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 are 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 and currencies 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 and instruments 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 or instrument 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 Bitcoin market is open twenty-four-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. Bitcoin is an asset which an individual can both trade and invest, however this article will be focused on trading due to the wide volatility in BTC prices over the short-term.

Technical Indicator Analysis of Bitcoin

Technical indicators are often considered self-fulfilling prophecies due to mass-market psychology gravitating towards certain common numbers yielded from them. They are also often discounted when it comes to BTC. 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 for stocks is that the US market open causes tremendous volume surges eradicating any intrinsic volume analysis. This does not occur with BTC, as it is open twenty-four-seven. At major highs and lows, the market is typically anemic. Most traders are not active at terminal discretes (peaks and troughs) because of levels of fear. Volume 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. Volume is steadily decreasing. Lows and highs are reached when volume is lower.
Therefore, due to the relatively high volume on the 12th of March, we can safely determine that a low for BTC 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. VIX is essentially useless for BTC as BTC-based options do not exist. It allows us to predict the market low for $SPY, which will have an indirect impact on BTC in the short term, likely leading to the yearly low. 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 for the S&P 500 is imminent.
  • RSI (Relative Strength Index): The most important technical indicator, useful for determining highs and lows when time symmetry is not availing itself. Sometimes analysis of RSI can conflict in different time frames, easiest way to use it is when it is at extremes – either under 30 or over 70. Extremes can be used for filtering highs or lows based on time-and-price window calculations. Highly instructive as to major corrective clues and indicative of continued directional movement. Must determine if longer-term RSI values find support at same values as before. It is currently at 73.56.
  • Secondly, RSI may be used as a high or low filter, to observe the level that short-term RSI reaches in counter-trend corrections. Repetitions based on market movements based on RSI determine how long a trade should be held onto. Once a short term RSI reaches an extreme and stay there, the other RSI’s should gradually reach the same extremes. Once all RSI’s are at extreme highs, a trend confirmation should occur and RSI’s should drop to their midpoint.

Trend Definition Analysis of Bitcoin

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 a downtrend line on the BTC chart, but it is possible to correctly draw an uptrend – indicating that the overall trend is downwards. The only mitigating factor is the impending stock market crash.

Time Symmetry Analysis of Bitcoin

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 measure 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 (last seven years): 1/1/13, 4/10/14, 1/15/15, 1/17/16, 1/1/17, 12/15/18, 2/6/19
  • Monthly Mode: 1, 1, 1, 1, 2, 4, 12
  • Daily Mode: 1, 1, 6, 10, 15, 15, 17
  • Monthly Lows (for the last year): 3/12/20 (10:00pm), 2/28/20 (7:09am), 1/2/20 (8:09pm), 12/18/19 (8:00am), 11/25/19 (1:00am), 10/24/19 (2:59am), 9/30/19 (2:59am), 8/29,19 (4:00am), 7/17/19 (7:59am), 6/4/19 (5:59pm), 5/1/19 (12:00am), 4/1/19 (12:00am)
  • Daily Lows Mode for those Months: 1, 1, 2, 4, 12, 17, 18, 24, 25, 28, 29, 30
  • Hourly Lows Mode for those Months (Military time): 0100, 0200, 0200, 0400, 0700, 0700, 0800, 1200, 1200, 1700, 2000, 2200
  • Minute Lows Mode for those Months: 00, 00, 00, 00, 00, 00, 09, 09, 59, 59, 59, 59
  • Day of the Week Lows (last twenty-six weeks):
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
Evaluating the yearly lows, we see that BTC tends to have its lows primarily at the beginning of every year, with a possibility of it being at the end of the year. Following the same methodology, we get the middle of the month as the likeliest day. However, evaluating the monthly lows for the past year, the beginning and end of the month are more likely for lows.
Therefore, we have two primary dates from our histogram.
1/1/21, 1/15/21, and 1/29/21
2:00am, 8:00am, 12:00pm, or 10:00pm
In fact, the high for this year was February the 14th, only thirty days off from our histogram calculations.
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 February 9, 2020 – a reasonably accurate depiction of the low for this year (which was on 3/12/20). (Taking only the Armstrong model into account, the next high should be Saturday, April 23, 2022). Therefore, the Armstrong model indicates that we have actually bottomed out for the year!
Bear markets cannot exist in perpetuity whereas bull markets can. Bear markets will eventually have price objectives of zero, whereas bull markets can increase to infinity. It can occur for individual market instruments, but not markets as a whole. Since bull markets are defined by low volatility, they also last longer. Once a bull market is indicated, the trader can remain in a long position until a new high is reached, then switch to shorts. The average bear market is eighteen months long, giving us a date of August 19th, 2021 for the end of this bear market – roughly speaking. They cannot be shorter than fifteen months for a central-bank controlled market, which does not apply to Bitcoin. (Otherwise, it would continue until Sunday, September 12, 2021.) However, we should expect Bitcoin to experience its’ exponential growth after the stock market re-enters a bull market.
Terry Laundy’s T-Theory implemented by measuring the time of an indicator from peak to trough, then using that to define a future time window. It is similar to an head-and-shoulders pattern in that it is the process of forming the right side from a synthetic technical indicator. If the indicator is making continued lows, then time is recalculated for defining the right side of the T. The date of the market inflection point may be a price or indicator inflection date, so it is not always exactly useful. It is better to make us aware of possible market inflection points, clustered with other data. It gives us an RSI low of May, 9th 2020.
The Bradley Cycle is coupled with volatility allows start dates for campaigns or put options as insurance in portfolios for stocks. However, it is also useful for predicting market moves instead of terminal dates for discretes. Using dates which correspond to discretes, we can see how those dates correspond with changes in VIX.
Therefore, our timeline looks like:
  • 2/14/20 – yearly high ($10372 USD)
  • 3/12/20 – yearly low thus far ($3858 USD)
  • 5/9/20 – T-Theory true yearly low (BTC between 4863 and 3569)
  • 5/26/20 – hashrate difficulty halvening
  • 11/14/20 – stock market low
  • 1/15/21 – yearly low for BTC, around $8528
  • 8/19/21 – end of stock bear market
  • 11/26/21 – eighteen months from halvening, average peak from halvenings (BTC begins rising from $3000 area to above $23,312)
  • 4/23/22 – all-time high
Taken from my blog: http://aliamin.info/2020/
submitted by aibnsamin1 to Bitcoin [link] [comments]

MACD (Moving Average Convergence Divergence)

The MACD marker is one of the most famous apparatuses of Technical Analysis. This instrument shows the connection between two moving methods of a security's cost. This MACD marker is made to proclaim alters happen in course, quality and pattern length of stock's cost. There is an equation for figuring MACD, for this count 26-period exponential moving midpoints subtracted from the 12-time frame exponential moving midpoints (MACD estimation done by subtracting the long haul EMA from momentary the EMA). The outcome which comes after this figuring will be the MACD line.
This MACD pointer of specialized examination depends on three parameters which named as the time consistent of the three EMAs. The parameters of MACD are estimated in days and the most normally utilized an incentive for MACD is 12, 26 and 9 days. The specialized marker of this is, MACD additionally works for discovering its period setting from the days of yore, while Technical Analysisrelies upon the consistent schedule diagrams.
This MACD marker encourages financial specialists to comprehend when bullish or bearish cost development is expanding or diminishing. The MACD pointer can be comprehended in various manners, yet the most usually utilized ways are hybrids disparity and speedy ascent or fall. MACD is an energy oscillator that goes about as a best utilized in the market of exchanging, where costs of exchange advertise are moving with a certain goal in mind.
MACD Charts and MACD Line
MACD graphs are appeared in two lines. The primary line of graph structures the estimation of MACD and it's called as MACD Line, it shows the separation between two EMA.
MACD is determined utilizing three distinctive arrangement:
  1. The MACD arrangement is the distinction between a long and short exponential moving normal.
  2. The Average arrangement is the EMA (Exponential moving normal) of the MACD arrangement which depicted previously.
  3. And dissimilarity arrangement is the distinction between the MACD and the normal arrangement.
Exchanging by MACD pointer contains the accompanying signs:
A portion of the sign of MACD:
  1. Signal Line Crossovers: It happens when the MACD falls beneath the sign line. Merchants regularly decipher MACD lines as a potential purchasing opportunity, when it crosses over the sign line. Brokers will in general consider the MACD line as a selling opportunity when it crosses beneath the sign line. While the signs of hybrids can be useful, on the other that they are not solid.
  2. Centerline Crossovers: It happens when MACD crosses turn over the zero lines, at that point it unmistakable as bullishness, it's called bullish centerline hybrid. On the off chance that it moves beneath from above to the zero lines, at that point it is known as a bearish centerline hybrid. A positive hybrid guarantees when the shorter exponential moving normal of the fundamental security filtered to over the more EMA.
  3. Divergence: Divergence structure happens when the MACD wanders through the hidden security value activity. A bullish difference structure comes when a security records a lower low and the higher low shaped by MACD. At the point when the money pair cost separates from the MACD, it demonstrates the finish of the present development. This kind of thing generally comes when value moves a single way and the MACD moves toward another path. MACD dissimilarity exchanging strategy additionally utilized for pattern affirmation as to figure defining moments of patterns.
  4. Timing: The MACD is significant just for those conditions in which it is applied. The MACD might be applied by an Analyst before looking to an everyday schedule scale to a week by week scale, for keeping away from the momentary exchanges against the middle of the road pattern's heading.
  5. False Signals: The MACD can likewise make bogus signs like a determining calculation. A bogus positive happens when a bullish hybrid finished a decay that comes out of nowhere in a stock. What's more, a bogus negative circumstance happens when a bearish hybrid followed by an abrupt upward in the stock. Examiners utilize a scope of techniques for sifting through the bogus signals and affirm the genuine signs.
  6. Today, the MACD has gotten one of the most significant pointers for each broker since it shows an assortment of signs about developments, inversion and force all on a solitary diagram. The marker isn't directly consistently. Despite the fact that, when utilized cautiously, it encourages merchants who attempt to make early recognizable proof of value developments (that is the place and how the cost will be moving straightaway).

There are points of interest or hindrance of MACD:
Favorable position of MACD:
  1. MACD is a strong pointer that encourages merchants to recognize patterns of stocks.
  2. It likewise gives a sign before moving normal hybrid.

Impediments of MACD:
  1. The MACD pointer isn't the most confided in marker; it gives bogus signs when the forex showcase is insecure.
  2. One more weakness of MACD is that it will in general be increasingly expressive when contrasted with investigative. Along these lines, it is progressively reasonable for tolerating the pattern of the market as opposed to evaluating it.
  3. MACD is extremely convoluted now and again to be deciphered or actualized proficiently.
  4. When the forex showcase is shaky, the chance of phony signs is excessively high.
Conclusion:
In finish of MACD I need to state that the MACD is a magnificent blend among pattern and force pointers. It is a most ordinarily utilized marker, it very well may be effortlessly accepted as speculators are focused on the MACD hybrids by the signs and the inside line. MACD is a key pointer of Technical Analysis and it's an energy family part, gives incredible quality signs which originates from the fundamental offer cost. The utilization of the MACD marker is extremely famous in the specialized examination of Forex Market. This pointer causes brokers to recognize the pattern of the present moment forex showcase. The MACD pointer additionally has a few burdens, which demonstrates that this marker isn't generally the most trusted, and precise for guaging developments, essentially when the forex advertise is truly capricious.
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3.3 How to implement strategies in M language

3.3 How to implement strategies in M language

Summary

In the previous article, we explained the premise of realizing the trading strategy from the aspects of the introduction of the M language , the basic grammar, the model execution method, and the model classification. In this article, we will continue the previous part, from the commonly used strategy modules and technologies. Indicators, step by step to help you achieve a viable intraday quantitative trading strategy.

Strategy Module


https://preview.redd.it/a4l7ofpuwxs41.png?width=1517&format=png&auto=webp&s=3f97ea5a7316edd434a47067d9b76c894577d01d

Stage Increase

Stage increase is calculating the percentage of current K line's closing price compare with previous N periods of closing price's difference. For example: Computing the latest 10 K-lines stage increases, can be written:
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CLOSE_0:=CLOSE; //get the current K-line's closing price, and save the results to variable CLOSE_0. CLOSE_10:=REF(CLOSE,10); //get the pervious 10 K-lines' closing price, and save the results to variable CLOSE_10 (CLOSE_0-CLOSE_10)/CLOSE_10*100;//calculating the percentage of current K line's closing price compare with previous N periods of closing price's difference. 

New high price

The new high price is calculated by whether the current K line is greater than N cycles' highest price. For example: calculating whether the current K line is greater than the latest 10 K-lines' highest price, can be written:
12
HHV_10:=HHV(HIGH,10); //Get the highest price of latest 10 K-lines, which includes the current K-line. HIGH>REF(HHV_10,1); //Judge whether the current K-line's highest price is greater than pervious K-lines' HHV_10 value. 

Price raise with massive trading volume increase

For example: If the current K line's closing price is 1.5 times of the closing price of the previous 10 K-lines, which means in 10 days, the price has risen 50%; and the trading volume also increased more than 5 times of the pervious 10 K-lines. can be written:
1234567
CLOSE_10:=REF(CLOSE,10); //get the 10th K-line closing price IS_CLOSE:=CLOSE/CLOSE_10>1.5; //Judging whether the current K Line closing price is 1.5 times greater than the value of CLOSE_10 VOL_MA_10:=MA(VOL,10); //get the latest 10 K-lines' average trading volume IS_VOL:=VOL>VOL_MA_10*5; //Judging whether the current K-line's trading volume is 5 times greater than the value of VOL_MA_10 IS_CLOSE AND IS_VOL; //Judging whether the condition of IS_CLOSE and IS_VOL are both true. 

Price narrow-shock market

Narrow-shock market means that the price is maintained within a certain range in the recent period. For example: If the highest price in 10 cycles minus the lowest price in 10 cycles, the result divided by the current K-line's closing price is less than 0.05. can be written:
1234
HHV_10:=HHV(CLOSE,10); //Get the highest price in 10 cycles(including current K-line) LLV_10:=LLV(CLOSE,10); //Get the lowest price in 10 cycles(including current K-line) (HHV_10-LLV_10)/CLOSE<0.05; //Judging whether the difference between HHV_10 and LLV_10 divided by current k-line's closing price is less than 0.05. 

Moving average indicates bull market

Moving Average indicates long and short direction, K line supported by or resisted by 5,10,20,30,60 moving average line, Moving average indicates bull market or bear market. can be written:
123456
MA_5:=MA(CLOSE,5); //get the moving average of 5 cycle closing price. MA_10:=MA(CLOSE,10);//get the moving average of 10 cycle closing price. MA_20:=MA(CLOSE,20);//get the moving average of 20 cycle closing price. MA_30:=MA(CLOSE,30);//get the moving average of 30 cycle closing price. MA_5>MA_10 AND MA_10>MA_20 AND MA_20>MA_30; //determine wether the MA_5 is greater than MA_10, and MA_10 is greater than MA_20, and MA_20 is greater than MA_30. 

Previous high price and its locations

To obtain the location of the previous high price and its location, you can use FMZ Quant API directly. can be written:
123
HHV_20:=HHV(HIGH,20); //get the highest price of 20 cycle(including current K line) HHVBARS_20:=HHVBARS(HIGH,20); //get the number of cycles from the highest price in 20 cycles to current K line HHV_60_40:REF(HHV_20,40); //get the highest price between 60 cycles and 40 cycles. 

Price gap jumping

The price gap is the case where the highest and lowest prices of the two K lines are not connected. It consists of two K lines, and the price gap is the reference price of the support and pressure points in the future price movement. When a price gap occurs, it can be assumed that an acceleration along the trend with original direction has begun. can be written:
12345678
HHV_1:=REF(H,1); //get the pervious K line's highest price LLV_1:=REF(L,1); //get the pervious K line's lowest price HH:=L>HHV_1; //judging wether the current K line's lowest price is greater than pervious K line's highest price (jump up) LL:=H1.001; //adding additional condition, the bigger of the price gap, the stronger the signal (jump up) LLL:=H/REF(L.1)<0.999; //adding additional condition, the bigger of the price gap, the stronger the signal (jump down) JUMP_UP:HH AND HHH; //judging the overall condition, whether it is a jump up JUMP_DOWN:LL AND LLL; //judging the overall condition, whether it is a jump down 

Common technical indicators

Moving average

https://preview.redd.it/np9qgn3ywxs41.png?width=811&format=png&auto=webp&s=39a401b5c9498a13d953678c0c452b3b8f6cbe2c
From a statistical point of view, the moving average is the arithmetic average of the daily price, which is a trending price trajectory. The moving average system is a common technical tool used by most analysts. From a technical point of view, it is a factor that affects the psychological price of technical analysts. The decision-making factor of thinking trading is a good reference tool for technical analysts. The FMZ Quant tool supports many different types of moving averages, as shown below:
1234567
MA_DEMO:MA(CLOSE,5); // get the moving average of 5 cycle MA_DEMO:EMA(CLOSE,15); // get the smooth moving average of 15 cycle MA_DEMO:EMA2(CLOSE,10);// get the linear weighted moving average of 10 cycle MA_DEMO:EMAWH(CLOSE,50); // get the exponentially weighted moving average of 50 cycle MA_DEMO:DMA(CLOSE,100); // get the dynamic moving average of 100 cycle MA_DEMO:SMA(CLOSE,10,3); // get the fixed weight of 3 moving average of closing price in 10 cycle MA_DEMO:ADMA(CLOSE,9,2,30); // get the fast-line 2 and slow-line 30 Kaufman moving average of closing price in 9 cycle. 

Bollinger Bands


https://preview.redd.it/mm0lkv00xxs41.png?width=1543&format=png&auto=webp&s=a87bdb4feecf97cbeef423b935860bfea85ffe6d
Bollinger bands is also based on the statistical principle. The middle rail is calculated according to the N-day moving average, and the upper and lower rails are calculated according to the standard deviation. When the BOLL channel starts changing from wide to narrow, which means the price will gradually returns to the mean. When the BOLL channel is changing from narrow to wide, it means that the market will start to change. If the price is up cross the upper rail, it means that the buying power is enhanced. If the price down cross the lower rail, it indicates that the selling power is enhanced.
Among all the technical indicators, Bollinger Bands calculation method is one of the most complicated, which introduces the concept of standard deviation in statistics, involving the middle trajectory ( MB ), the upper trajectory ( UP ) and the lower trajectory ( DN ). luckily, you don't have to know the calculation details, you can use it directly on FMZ Quant platform as follows:
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MID:MA(CLOSE,100); //calculating moving average of 100 cycle, call it Bollinger Bands middle trajectory TMP2:=STD(CLOSE,100); //calculating standard deviation of closing price of 100 cycle. TOP:MID+2*TMP2; //calculating middle trajectory plus 2 times of standard deviation, call it upper trajectory BOTTOM:MID-2*TMP2; //calculating middle trajectory plus 2 times of standard deviation, call it lower trajectory 

MACD Indicator


https://preview.redd.it/9p3k7y42xxs41.png?width=630&format=png&auto=webp&s=b1b8078325fc142c1563a1cf1cc0f222a13e0bde
The MACD indicator is a double smoothing operation using fast (short-term) and slow (long-term) moving averages and their aggregation and separation. The MACD developed according to the principle of moving averages removes the defect that the moving average frequently emits false signals, and also retains the effect of the other good aspect. Therefore, the MACD indicator has the trend and stability of the moving average. It was used to study the timing of buying and selling stocks and predicts stock price change. You can use it as follows:

DIFF:EMA(CLOSE,10)-EMA(CLOSE,50); //First calculating the difference between short-term moving average and long-term moving average. DEA:EMA(DIFF,10); //Then calculating average of the difference. 
The above is the commonly used strategy module in the development of quantitative trading strategies. In addition, there are far more than that. Through the above module examples, you can also implement several trading modules that you use most frequently in subjective trading. The methods are the same. Next, we began to write a viable intraday trading strategy.

Strategy Writing

In the Forex spot market, there is a wellknown strategy called HANS123. Its logic are basically judging wether the price breaks through the highest or lowest price of the number of K lines after the market opening

Strategy logic

  • Ready to enter the market after 30 minutes of opening;
  • Upper rail = 30 minutes high after opening ;
  • Lower rail = 30 minutes low after opening ;
  • When the price breaks above the upper limit, buy and open the position;
  • When the price falls below the lower rail, the seller opens the position.
  • Intraday trading strategy, closing before closing;

Strategy code

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// Data Calculation Q:=BARSLAST(DATA<>REF(DATA,1))+1; //Calculating the number of period from the first K line of the current trading day to current k line, and assign the results to N HH:=VALUEWHEN(TIME=0930,HHV(H,Q)); //when time is 9:30, get the highest price of N cycles, and assign the results to HH LL:=VALUEWHEN(TIME=0930,LLV(L,Q)); //When time is 9:30, get the lowest price of N cycles, and assign the results to LL //Placing Orders TIME>0930 AND TIME<1445 AND C>HH,BK; //If the time is greater than 9:30 and lesser than 14:45, and the closing price is greater than HH, opening long position. TIME>0930 AND TIME<1445 AND C=1445,CLOSEOUT; //If the time is greater or equal to 14:45, close all position. //Filtering the signals AUTOFILTER; //opening the filtering the signals mechanism 

To sum up

Above we have learned the concept of the strategy module. Through several commonly used strategy module cases, we had a general idea of the FMZ Quant programming tools, it can be said that learning to write strategy modules and improve programming logic thinking is a key step in advanced quantitative trading. Finally, we used the FMZ Quant tool to implement the trading strategy according a classical Forex trading strategy.

Next section notice

Maybe there are still some confusion for some people, mainly because of the coding part. Don't worry, we have already thought of that for you. On the FMZ Quant platform, there is another even easier programming tool for beginners. It is the visual programming, let's learn it soon!
submitted by FmzQuant to CryptoCurrencyTrading [link] [comments]

Importance of Technical Indicators

Importance of Technical Indicators

Introduction:

Much after they emphatically show toward a path, it just means there is a decent possibility or likelihood that the market will take that heading, not an assurance. It's likewise great to recall that specialized markers depend on information gathered from past exchanges. Each exchange is unique thus it is conceivable that authentic data probably won't be adequate to effectively discover future market developments. Additionally, recollect that a marker ought not to be utilized in seclusion. It ought to be utilized in mix with others. Given underneath are a few pointers that can demonstrate to be useful in apportioning probabilities, obviously like we said previously, don't depend on them to foresee advertise developments.

https://preview.redd.it/yqodp11g6s541.png?width=560&format=png&auto=webp&s=b67a38b65690923ba7ccb39436dd5ba7ab50a7f9

MACD:

MACD is known as the moving average convergence divergence calculation is a covering indicator used to track trends. The MACD consists of 2 exponential moving average and histogram. It is to keep in mind that these two lines in the indicator are not simple moving averages because many traders think it that way.

Forex Index:

The force index tells you how much force or volume is behind a trade. The manner in which this can help you is by helping you see what's happening underneath the surface. So if a pattern is going up and the Force Index is going down, it implies that the volume is diminishing and the pattern will likely return soon. So it sets you up for what's to come

Stochastic Oscillator:

The Stochastic Oscillator shows you overbought or oversold conditions. Overbought and oversold sign is significant on the grounds that it gives you when to anticipate that the pattern should go down when it has been going up for some time.
On the off chance that a cost goes excessively high excessively quick, it implies that that pair is very nearly being overbought and therefore it will return. So it cautions any merchants who may be going to enter an exchange taking a gander at the pattern that it may before long return because of the restorative wave. Additionally, on the off chance that it descends too rapidly that shows that it is oversold thus it will before long skip back thus you have to act in like manner.
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some helphul common terms for forex traders

Common terms:

submitted by livmarsh1992- to u/livmarsh1992- [link] [comments]

🔍Forex Forecast 5 August 2019

🔍Forex Forecast 5 August 2019
#GBPUSD remains under pressure as Brexit uncertainty looms ahead of UK services PMI. Having repeatedly failed to rise past 100-hour exponential moving average (EMA) level of 1.2178, sellers are targeting 1.2080 ahead of betting on 1.2000 round-figure. Meanwhile, an upside clearance of 1.2180 highlights 200-hour EMA level near 1.2250.
#forex #forex_trading #forex_analysis #daily_analysis #gbp_usd #forex_forecast #forex_online

🔍Forex Forecast 5 August 2019
submitted by ronykhanfx to TopAsiaFX [link] [comments]

[WallText] For those who really want to be forex traders.

Im sry if u find some grammatical errors, english is not my mother language. Let me know and i will fix it.
First of all, look for at least half an hour without interruptions to read this manual.
This is the system that has created trading professionals. He has done it and today he continues doing it, as it happened with me.
It is not a system written in any forum, in fact I believe that it has been the first to collect all the ideas and create a structure to follow to carry them out, but these same ideas and procedures have been the ones that the winning traders have used during decades and will continue to use, since they are based on completely objective and real foundations.
Let's go to it:
Hi all.
It is known that the observation time makes the patterns elucidate, and after some time in the forum and throughout this trading world I have found many patterns in the responses of the people, I have reasoned about them, and I have realized their failures, why they fail to be profitable.
There are people who have put effort into this. Not all, but there are people who have really read a lot, studied a lot, learned a lot and tried a lot, and even then they are not able to achieve stable profitability.
The question is: Is there enough in that effort? Is there a specific moment in the line of learning where you start to be profitable? The question is, logically.
There are traders that generate constant profitability. Hedge funds, investment firms ... and the difference is in areas where people for some reason do not want to invest time.
Why are there more messages in the strategy forums than in the psychology, journals and fundamental analysis together?
As human beings, our brain is programmed to look for quick positive responses. In nature, the brain does not understand the concept of long-term investment. There is only a short-term investment made from the difference between what we think will cost us something and what we think it will contribute. If we think that it will cost us more than it can give us, we simply do not feel motivated. It is a simple mechanism.
The market plays with these mechanisms. There are more scalpers created from the search for that positive emotion than from the search for a scalping system.
In short, we are not programmed to operate, and there lies the fact that only a huge minority of operators are profitable.
Among others, I have observed several patterns of behavior that make a trader fail, and they are:
- Search for immediate pleasure: The trader wants to feel that he has won on the one hand, and on the other he wants to avoid the feeling of loss. Following this there are many traders who place a very low take profit and a very high stop loss. This is not bad if the probabilities have been reviewed before, the mathematical factor of hope, the relation with the drawdown .. but in the majority of the cases absolutely nothing of statistics is known. There is only that need to win. They win, they win, they win, until one day the odds do their job and the stop loss is touched, returning the account to its origins or leaving it with less money than it started. This does not work.
- Search for immediate wealth: Again it is something immediate. People want good emotions, and we want them already. The vast majority of traders approach this world with fantasies of wealth, women and expensive cars, but do not visualize hard work, the sickly hard work behind all this.
From there underlie behaviors like eternally looking for new robots or expert advisors that promise a lot of money, or new systems. The type of trader that has this integrated pattern is characterized by doing nothing more than that. Spend the day looking for new strategies Of course he never manages to earn constant money.
- Think that trading is easy: Trading is not easy, it is simple. Why? Because when you get the wisdom and experience necessary to find yourself in a state of superior knowledge about the market and effectively make money, it is very simple; you just have to apply the same equation again and again. However, it is not easy to reach this equation. This equation includes variables such as risk understanding, mathematics, certain characteristics in the personality that must be assimilated little by little, intelligence, a lot of experience ..
This is not easy. This is a business, and in fact it is one of the most difficult businesses in the world. It may seem simple to see a series of candles on a screen or perhaps a line, or any type of graphic, but it is not. Behind the screen there are hundreds of thousands of very intelligent professionals, very disciplined, very educated, very ...
This business is the most profitable in the world if you know how to carry, since it is based on the concept of compound interest, but it is also one of the most difficult. And I repeat. It's a business, not a game. I think you'll never hear a lawyer say to his boss: "We're going to focus all our time on finding a strategy that ALWAYS makes us win a trial, ALWAYS." What does it sound ridiculous? It sounds to me just as ridiculous for trading.
But you are not to blame, you have been subconsciously deceived through the advertising brokers and your own internal desires, to think that this is something easy.
- Lack of discipline: Trading is not something you can do 10 minutes on Monday and 6 on Thursday. This is not a game, and until you get a regular schedule you can not start earning money. There are people who open a graph one day for 5 minutes, then return to their normal life and then one week returns to look at it for other minutes.
Trading should not be treated as a hobby. If you want to win "some money" I advise you not even to get in, because you will end up losing something or a lot of money. You have to think if you really want trading to be part of your life. It's like when you meet a girl and you want to get married. Do you really want to get into this with all the consequences? Because otherwise it will not work.
Visualize the hard work behind this. Candle nights, frustrations, several hundred dollars lost (at the beginning) .. enter the world of trading with a really deep reason, if you lose a time and money that no one will return, and both things are finite!
- Know something and pretend to know everything: Making money in the markets is not based on painting the graph as a child a paper with crayon wax and pretend to make money.
It is not based on drawing lines or circles, or squares. It is based on understanding the operation of all these tools, the background of the why of the tools of trading.
A trend line only marks the cycle of a wave within a longer time frame, within a longer time frame, and so on indefinitely. In turn, this wave is divided into waves with a specific behavior, divided into smaller waves and Etcetera, and understanding that dynamic is fundamental to winning.
It is not the fact of drawing a line. That can be done by an 8 year old boy. It is the fact of UNDERSTANDING why.
There are traders who read two technical analysis books and a delta analysis book and believe that they are professionals, but do they really understand the behavior of the market? The answer is in their portfolios.
After this explanation that only 10% will have read, I will try to detail step by step something that is 90% yearning, and that will have quickly turned the scroll of your mouse to find the solution to all your problems while supporting the beer in a book of " become rich ", rotten by lack of use.
These steps must be carried out one by one, starting with the first, fulfilling it, moving on to the second, successively and growing. If steps are taken for granted, or not fully met, it simply will not work.
I know this will happen and the person who did it will think "Bah, this does not work." and you will return to your top strategy search routine.
That said, let start:
1º Create a REAL account with 50 dollars approximately:
_ Forget the demo accounts. They are a utopia, they do not work. There is infinite liquidity, without emotions and without slipagge.
These things will change when we enter the real market, and the most experienced person in the world will notice a sharp drop in their profitability when it happens to real accounts.
And not only using a demo account has disadvantages, but using a real one has advantages.
We will have a real slipagge with real liquidity. Real requotes and more. The most important: We will work our emotions at the same time. Because yes, we will lose or win a couple of cents, but that has a subconscious impact of loss.
This means that we will begin to expand our comfort zone from the start.
Using a demo account is simply a disadvantage.
2º Buy a newspaper in the stationery or in Chinese (optional), or write one online or in Word:
A newspaper will be of GREAT help. You can not imagine, for those of you who do not have one, how a newspaper can exponentiate our learning curve. It is simply absurd not to have a diary. It's like taking a ticket of 5 instead of one of 100.
In this diary we will write down observations that we make about the operations that we will carry out in points that I will explain later of this same manual.
We will divide the newspaper into 2 parts:
  • 1 part: The operation itself. We will write the reasons for each operation. The why we have done it.
  • 2 part: How we feel. We will unburden ourselves without explaining how we feel, what our intuition tells us about that particular operation and so on.
How to use:
We will read the newspaper once a week, thinking about the emotions we felt each day and in what situations, and the reasons.
Soon, we will begin to realize that we have certain patterns in the way we feel and operate, and we will have the ability to change them.
We can also learn from mistakes that we make, and keep them always in a diary.
3º Look for a strategy that has the following characteristics:
  • Make it SIMPLE. Nothing of 4 or more indicators or the colors of the gay flag drawn on the graph based on 1000 lines. Why? Because there is always an initial enthusiasm and maybe we can follow a complex strategy for a week, but burned that motivation, saturates us and we will leave it aside.
Therefore, the strategy must be simple. If we use metatrader, the default indicators work. No macd's no-lag and similar tools. That does not lead anywhere. And if you do not believe it, I'll tell you that in all areas of life comes marketing. In addition to trading towards MMA and now I do powerlifts, and there are 1000 exercises to do. However, the classics are still working and work very well. It seems that sellers of strange sports equipment do not share the same opinion, that the only thing they want is to sell!
4º Understand the strategy:
  • We must gut each process of the strategy and reason about it. What does this indicator do? What does this process? Why this and not another? Why this exit ?. Some strategies will be based on unspecified outputs. This does not suppose any problem because as we get experience in that specific strategy, we will remember situations that have occurred, we will see situations that are repeated (patterns) and we will be able to find better starts and entrances. Everything is in our hands.
5° Collect essential statistical information:
  • This part is FUNDAMENTAL, and no operator can have as much security in itself when operating as if it uses a strategy that has at least positive mathematical hope and an acceptable drawdown.
  • Step 1: To carry out this collection of information you need to test the strategy for at least 100 signals. Yes, 100 signals.
Assuming it is an intraday strategy and we do an operation per day, it will take us 100 days (3 months and 10 days approx) to carry out the study. Logically these figures can change depending on the number of operations that we make up to date with the strategy.
I have no doubt that after reading this manual we will go for a quick strategy of scalpers, with 100 signals every 10 minutes where the seller comes out with a big smile in his promotional video.
I personally recommend a system of maximum 2 daily operations to start, but this point is personal.
Is it a long time? Go! It turns out that a college student of average intelligence takes 6 years to finish a career. It takes 6 years just to train, and there are even more races. This does not guarantee any profitability, and in any case most of Sometimes it will get a static return and not based on compound interest. I can never aspire to more.
The market offers compound profitability, there will be no bosses, nor schedules that we do not impose. We will always have work, and we can earn a lot more money than most people with careers or masters. Is it a long time? I do not think so.
As I was saying, we will test the strategy 100 times with our REAL account that we created in step 1. Did you decide to use a demo account? Better look for another manual; This has to be something serious. They are 100 dollars and will be the best investment of all in your career as a trader.
  • Step 2: Once with the report of the 100 strategies in hand, we will collect the following information:
  • How many times have we won and how many lost. Afterwards, we will find the percentage of correct answers.
  • How much have we won and how much have we lost? Afterwards, we will find the average profit and the average loss.
  • Step 3: With this information we will complete the mathematical hope formula:
(1 + average profit / average loss) * (percentage of correct answers / 100) -1
Example:
  • Of the 100 operations there are 50 winners and 50 losers, then the success rate is 50%.
  • Our average profit is 20 dollars and our average loss is 10 dollars.
Filling the formula:
(1 + 20/10) * (50/100) -1
(1 + 2) * (0,5) -1
3 * 0.5 - 1
1,5 - 1 = 0,5
In this example the mathematical expectation is 0.5. It is POSITIVE, because it is greater than 0. From 0, we will know that this strategy will make us earn money over time ALWAYS we respect the strategy.
If after a few days we modify it, then we will have to find this equation again with another 100 different operations. Easy? A result of "0" would mean that this strategy does not win or lose, but in the long run we would LOSE due to the spread and other random factors.
You have to try to find a strategy that, once this study is done, the result of your mathematical hope is greater than 0.2 as MINIMUM.
Finding this formula will also give a curious fact. The greater the take profit in relation to the stop loss, as a general rule more positive will be our mathematical hope. This has given many pages of discursiones about whether to place take profit> stop loss or vice versa.
If our stop was larger than the take profit, then the other ratio (% earned /% lost) should be yes or yes positive.
But this is just curiosities.
let's keep going:
  • 6° Expand our comfort zone:
We will not be able to work with operations of 10 million dollars overnight, but we can progressively condition ourselves to that path.
Assuming all of the above, and with a real account, some experience in the 3 months of information gathering and a positive mathematical hope, we are ready to operate in real with some consistency. But how to carry it out?
The comfort zone is the psychological limits we have before feeling fear or emotional tension. When we get into a fight, we have left our comfort zone and we feel tension, unless we have a psychopathic disorder.
Every time we lean out onto a 300-meter balcony from a skyscraper, we move away from the comfort zone. Every time we speak to a depampanante woman, we move away from our comfort zone.
Our brain creates a comfort zone to differentiate what we usually do and is not substantially dangerous, from the unknown and potentially dangerous to our survival or reproduction. And whenever the brain interprets that these two aspects are in danger, we will feel negative emotions like fear, disgust, loneliness, fury, etcetera.
This topic is much more profound and you would have to read several volumes of evolutionism to understand the why of each thing. The only thing that interests us here is the "what", and the one, that is, that there is a certain comfort zone that must be expanded without any problems.
With trading, exactly the same thing happens. The forex market is a virtual environment in which we lose or gain things, but our brain does not differentiate between reality and what is not, it only attends to stimuli of a certain type.
We can lose food in the middle of the forest or also a crude oil operation.
Our goal is to condition our subconscious so that it is progressively accepting lost and small benefits, and as time goes by, bigger.
The exercise to achieve this is the following:
  • We will operate on that account of 100 dollars with our mathematically positive strategy for 3 more months.
  • After these three months, our account should have benefits, because of the mathematically positive strategy.
  • We will enter 200 dollars more and we will operate a month more raising the lots according to our risk management (I do not advise that the risk is greater than 2%)
At this point, I know how hard it is to resign myself to impatience, but follow those times and do not skip it even if you feel safe, but you will fail, it's simple.
Let's keep going:
  • After that month, we will raise our capital again with a new income. This time we will enter 1000 dollars (save if you do not have 1000 dollars loose, you will recover later on, do you want to make money, enter 1000 dollars.
We will test the operation one month with this new injection. We probably notice difficulties. More blockages, more euphoria when winning ... how will we know when to move on to the next entry? When we do not feel ANYTHING or at most something very shallow, when win or lose If observing the wall and operating is for you the same from an emotional point of view, it is time to enter more money.
  • We will follow this procedure until we have a basic account of 21000 dollars. The amounts to be paid will depend on our ability to not feel emotions, a capacity that will be taking over time.
We will raise capital until we feel that we block too much. In that case we will drawdown to a more acceptable amount, and we will continue at that level until get discipline and lack of reactivity at that level. Later, we will go up.
  • If we want to earn more money, we will continue entering and entering. Always following the conditioning scheme of 1 month.
Why a month?
A study conducted in the United States revealed that the subconscious needs an average of 28 days to create new habits or eliminate old habits. Emotional reactions are part of the habits. If we maintain some pressure of any emotion during the opportune time, in this case 28 days, will create tolerance and the subconscious will need a more intense version of the stimulus to activate.
AND THAT'S ALL!
Follow these steps and you will triumph. Here is the golden chalice, the tomb of Jesus or whatever you want to call it. There is no more mystery in the world of trading. This system will accompany you during the next year, year and a half. It's the one I used and it WORKS. Once done, you will have a very profitable system integrated into your being, since not only will it be mathematically viable, but you will also have the necessary experience to make it infinitely more profitable yet.
In addition, you will have psychology fully worked on a professional level to have conditioned your subconscious gradually.
Happy trading to all of u guys.-
submitted by Harry-Postre to Forex [link] [comments]

Crypto Story Time

Evening all,
 
Slightly different flavour here, which I hope will be insightful to those who take the time to read. Tonight I'm going to talk about my learnings in this market so far; my biggest mistakes; how you can avoid making them yourself; and the strategy I intend to follow from now on. It’s a long old read, but it contains months worth of knowledge, which could only be gained from first-hand experience. So pour yourself a drink, settle in, and let me take you through a brief history of my first two months in crypto.
 

TL;DR: Been in crypto 2 months, after years trading forex. Learnt a lot, and passing on the knowledge. Hope it helps some of you to become better investors.

 

CHAPTER 1: New market; new opportunity

 
I came into crypto with a real excitement. Finally a market that resonates with me. The ability to buy into something I believe in - something that could change the world for the better - and to make money along the way. I was excited that I could apply my trading background, something that not many in the market possess, to my advantage. I was excited at the prospect of being on the curve of early adoption, in a market that had demonstrably meteoric potential. But I was patient. I knew that I would be risking a substantial amount of money in this space, and potentially other peoples’ too, so I had to approach it sensibly. I was going to invest (hold long-term) the vast majority and day trade just a small portion. I spent many weeks researching before considering pulling the trigger even once. I didn’t come into this without a plan. But looking back on it now, it really was only scratching the surface on what a serious investment strategy should be.
 

CHAPTER 2: Early Strategy

 
In brief, my plan was to research a load of coins that I’d heard have good potential – solid projects which make unique & warranted use of blockchain technology; are disruptive to their industry; are developed by a competent & active team; and are backed by a loyal community. I shortlisted maybe 40 coins through articles, videos and general conversation, and I added them to my watchlist. Admittedly I became a bit lax in completing the deep level of research I told myself I’d do for each – scrutinizing the whitepaper became skimming the whitepaper, which then became watching a video analysis, which then became “oh that sounds interesting I’ll keep an eye on it”. But this was just a watchlist. And still an educated one.
 
I knew that I wanted to wait for an inevitable dip in Bitcoin’s value to enter the market, but it just wasn’t coming. $6k, $8k, $10k… the bullish momentum couldn’t be tamed. Was I missing out? Was Bitcoin going to continue its parabolic move while I sit here waiting for a dip that could never come?
 

LEARNING 1: There are an unlimited number of opportunities

 
At this stage I was ready to get involved, and I’d scouted a few alt coins that had good technical entry points approaching. Do I need to keep waiting for a good Bitcoin price even when there’s a good alt price? In short, if you’re confident enough about a trade, it doesn’t really matter what price you pay to get the BTC (or other major alt coin) needed to trade it, as long as you believe that your trade will outweigh any potential drop in Bitcoin’s value. If your trade goes up 100% and BTC’s value drops 50%, at that point you’re break even. Plus if you keep holding and BTC returns back to its previous value, now you’re in 100% profit. For me this meant that even after buying some Bitcoin at its ATH (all-time high) and having it correct over 40%, I was still in profit, because this particular trade was up over 100%. More on this later.
 
So I bought some Bitcoin! Not all at once – generally a decent strategy is called dollar-cost averaging. In essence, buying a little bit every week at whatever the price at the time is, so that your entry price averages out over time. A better strategy is to only buy if it’s at a good price, or when you need it for a trade setup – not just arbitrarily every week even if the price is high. But I digress, I had some Bitcoin now and I wanted to diversify. Time to buy some alts.
 

LEARNING 2: Every trade is a decision to have the coin you’re buying instead of the coin you’re using to buy it

 
If an alt coin is gaining value against Bitcoin, it’s better to be holding that alt coin than Bitcoin. And if it’s losing value against Bitcoin, you’d be better off keeping it as BTC. Simple, but easy to forget when you load up Coinmarketcap and see all of the price changes in USD. You’ve gone up by 4% today – great! But BTC went up 10%, so you’d have been better off holding BTC. Buying a coin is an active decision that you make to hold the coin you’re buying instead of the coin you’re selling for it, for the period of time until you close that position. So if I buy 1000 XEM using BTC, that XEM/BTC trade is me saying “I think that XEM will increase in value at a greater rate than BTC will”. If both of them increase in value but BTC does it faster, that was a sub-optimal decision.
 

LEARNING 3: Satoshis are your friend. Accumulate as many of them as possible

 
So how does one measure profit on a trade? It’s intuitive to think of it in fiat terms – how many £££ did I make? Something tangible. But really everything should be measured in the smallest unit of Bitcoin (1 satoshi = 0.00000001 BTC). It’s easier to migrate to this way of thinking if you think of your total investment as the total amount of BTC (or the other major alt coin) that you were able to buy with it. Say I invested £1000 in crypto, and with that I managed to buy 0.1 BTC – that’s my total investment. If I want to diversify and put 10% of that into each of my favourite alt coins, I’d buy 0.01 BTC worth of each of them. Let’s say Litecoin was one of them and I got 1 LTC for my 0.01 BTC. Litecoin’s rocket then fuelled up and started on its journey to the moon, and I decide to bank my profit. I now trade it back for 0.015 BTC. From 0.01 BTC to 0.015 BTC is a profit of 0.005 BTC, or 500,000 satoshis!
 
“But why not just measure it in £££ - that’s far less complicated?!”
 
Well here’s the kicker. Let’s say Bitcoin’s value plummeted over the course of that trade. I’ve got more BTC, but because the value of each one decreased, I may still have lost money. So does that mean that trade was a bad decision? Not at all. That trade was a decision between BTC and LTC, and you made the right call. LTC held its value better than BTC did, so you would have lost more if you didn’t take the trade. Profit measured in satoshis allows you to strip away the financial layer and answer the most important question – “was it a good decision to make that trade?” A gain in satoshis is always a win. A gain in £££ is not.
 
Taking that same scenario in which I’ve got an equal amount of my 10 favourite alt coins. Let’s say 9 out of 10 of them stay at exactly the same value, but the other one shoots to the moon on a lambo all the way to 100%. Woohoo! Shame that was only 1/10 of my portfolio - overall it’s worth 10% more now – but if I’d have invested all my money in that one coin I’d be up 100% overall. Now I’m certainly not advocating putting all your eggs in one basket. Rather, in reference to my previous learning, this helped me realised another very important point.
 

LEARNING 4: Understanding opportunity cost is a must

 
Any trade I make is not only a decision between the two coins I’m trading; it’s also a decision to buy that coin instead of any of the other coins I might be interested in. I have 0.1 BTC to spend and 10 alts I want to spend it on – should I just divide it equally? Not necessarily. If you’re super confident about a couple of them, but not so much on the others, spreading it equally doesn’t sound like such a good plan after all does it? Take your time analysing each trade / investment and rank them in order of confidence. In order of potential (risk:reward if you’re a trader). Invest more in the ones you’re more confident in. It’s a really basic point, but one that’s so often forgotten when there are so many exciting prospects out there. Holding a particular coin doesn’t just cost the price that you paid for it, it costs the opportunity to buy something else instead. One of the first things I learnt in trading was to cut your losers short and let your winners run. Why should crypto be any different? Even when you’re in a trade, every moment is an active decision to keep holding it instead of trading it for something else. Don’t blindly HODL hoping for a bad decision to improve, when there are better decisions you can take to re-coup that loss. Equally, don’t sell for a loss just because the value goes down. Re-analyse. Has anything changed? If every reason you had to buy it in the first place still applies, HODL. If something’s changed, including your confidence in it compared to other cryptos, consider switching it for a better opportunity.
 
So I learnt all of this in my first month – December 2017. Did I make optimal decisions all the time? Absolutely not, but with cryptos riding to all-time highs, my investors were very happy, as was I. It’s not often that you can get a 100% return on investment in just one month in a market. But it’s easy to profit in a bull market.
 

CHAPTER 3: It’s not all sunshine and lambos

 
It was around the end of December in which things started to get a bit too parabolic, and I was naturally suspicious of how long this could last. But you find yourself, inexperienced in a new market, eager to see how far you can ride the wave. The fear of missing out on further exponential gains becomes as much of a psychological challenge as taking a loss. In short, you get greedy. Highs that I had once been ecstatic with, a few days later became lows. I told my investors not to expect anything like this in future months. In my monthly summary I said “we are in perhaps the most bullish market the world has ever seen”, and I estimated that we had “a maximum of 1-2 more weeks to ride this momentum”. Prophetic, no? Well it’s easy to make predictions that come true – even a broken clock is right twice a day. What’s difficult is having enough conviction to take your own advice.
 

LEARNING 5: Make your rules and stick to them, no matter what

 
This is without a doubt the biggest thing I’ve learnt over the months. If one day you set yourself a target of £X profit – a level you’d be really happy to achieve, be that on a trade or overall – take it. Cash out as soon as you reach it and buy yourself something nice. Make it tangible. It’s easy for the world of online trading to feel gamified, but remember what you’re staking – this is real money. But it’s easier said than done. If you rise suddenly to that target I can tell you your first thought will be “whoa look at it go, I’m gonna see how much further it can get before I cash in”, rather than “mission accomplished, time to get out”. Humans are greedy. We want to take shortcuts – to our dreams, to wealth – but this isn’t a get rich quick scheme. If someone told you they could get you 10%/month gain on your savings (that triples your money every year) you’d probably bite their hand off. So why in crypto would you not be chuffed with 50%, or 20%, or 10%? Don’t move the goalposts. Decide in advance when to take profit and take it.
 
First off, it’s always a good idea to take out your initial investment at a level after which you’d be psychologically happy if the market goes down or up. For example, if I took out my initial investment (say £1000) when it went up 50% to £1500, and then the market went lunar and doubled the next month, I’d personally feel a bit annoyed at myself for not leaving more money in. That £1000 would’ve been £3000 had I kept it invested…shit. However if I took out my initial investment when it went up 200% - I’d now have £2000 left of my £3000 investment, and if it doubled the next month, I’d be happy with the stake I had remaining, not regretting my decision. That level can only be decided by you, based on your attitude towards risk. Obviously the higher that value is before you cash out your profits, the greater the risk you’re taking since it may never reach that level. Taking out your investment as soon as you’re happy to is a good move because from then on in you’re riding on pure profits. If the market were to crash to zero, you’d still be break even, so it’s much easier to detach yourself from the emotions involved (and we all know how emotional this market is). And if you’re a technical trader, rejoice at the fact that this market is hugely technical, and you can very often predict good levels to get out at – often doubled with buying back in cheaper. I highly recommend for everyone to spend some time learning to analyse charts - even at a basic level. It works. And for heaven's sake if you're day trading don't do what I did and "neglect" to apply basic trading principles like setting a stop loss and sizing each position at maximum ~1% risk. You can call it investing; you can call it speculative buying; but at the end of the day that's just gambling. Don't be lazy. Don't be wreckless. Apply what you've learnt in other markets - crypto is no different.
 
And for context, no I did not take my own advice. The correction shocked me. Not the fact that it happened, but the fact that it happened so hard and fast. At first I thought it was a healthy dip, and that the uptrend would resume soon enough – no reason to sell. But then the bears took over, and we were in a full on downwards movement. News emerged from South East Asia which caused a great deal of negative sentiment, and Bitcoin’s value tumbled (even when some of the speculation was later deemed invalid), and with that I realised how inherently linked to Bitcoin that all other cryptocurrencies are. You may dislike Bitcoin - the slow transactions; the high fees – but you can’t argue how critically important it is to this market.
 

LEARNING 6: 40+% market corrections are normal in crypto, but they still hurt

 
I neglected to mention earlier, but I have a background in trading forex. I understand market patterns, cyclicity and technical analysis such as Elliott Wave Theory and Fibonacci ratios. It is foolish to think that charts will continue indefinitely in a given direction – there will always be corrections and reversals. All through the correction we’ve started this year with, I have remained very optimistic. Nothing at all has changed to make any of the leading crypto projects less credible or via as future industry disruptors. This is why it’s important to do your own research on coins you invest in – so that you’re psychologically happy holding them long term through price corrections. But I’ll be honest, when Bitcoin broke down through several technical support levels a few days ago, I became apprehensive. Not even close to panic, or tempted to sell. After all I am investing long term, and I still see this as a requisite correction in a much larger up-trend. Or at least the upside potential of that outcome is comfortably worth the risk for me – it’s the opportunity of a lifetime. But even as an experienced trader, doubts can set in. All of the profits I had gained in month 1 were gone, and I have now slightly dipped into loss. As I say, I’m not selling, and my analysis is still very bullish. But HODLing is not always the best strategy.
 

LEARNING 7: When things are looking bearish, consider the trade to fiat

 
With the benefit of hindsight, and now having dedicated substantially more time to learning Elliot Wave Theory and studying crypto charts, there were a number of points at which you could have predicted a big ol’ correction was on the cards, before it fully developed. A quick ‘n dirty rule of thumb, for those of you who don’t know how to read charts, is: “Don’t buy into a parabolic market or at an all-time high – it’ll likely correct soon”. But I’d also like to add an addendum to what is a common mantra in the crypto community: “Buy the dip” – this is for day trading. If you’re intending to hold a coin long term, zoom right out and look at the entire coin’s price history. Wait for a macro scale correction, not a micro scale dip. A lot of people got excited the other day at Bitcoin rising 10% - I saw tonnes of calls saying “the correction is over” or “Bitcoin to the moon” – but when you zoom out, we’re still in a downtrend with room to go lower, and substantial resistance to get through before we can rise to new highs. Play the long game and look for long-term signals. And if you are in that subset of people who can predict an imminent correction, or indeed if you’re halfway through a correction with a good chance of it continuing, the best decision may well be to get out of the market until it’s over. Trade your positions back to fiat, and wait for clear recovery to the upside. It’s much more difficult to trade profitably in a down-trend. Most of us could have doubled our BTC holdings just by getting out of crypto before the correction and buying back in cheaper now. So make sure you have an exit plan. Know the steps that you’d need to take to get your money off exchanges / wallets and back into your bank account. Getting out of crypto doesn’t have to be a permanent move. There’s no harm in waiting things out until you’re confident again. After all, refer back to Learning 1 – there are always more opportunities.
 

CHAPTER 4: Moving forwards

 
At last, filled with learnings and plenty of inactive time spent refining my strategy, I’ve gone back to my technical analysis roots and really analysed why I’m in my positions.
 

LEARNING 8: Never stop analysing. You will make mistakes. Learn from them.

 
Does my portfolio need to be this diverse? Are my invested amounts proportional to my confidence in them? Probably not, so I’ve taken this opportunity to start shifting around. Don’t be precious about losses – losing is a natural part of trading – you only need one 10:1 winning trade to offset ten losing ones. So take some losses and make some mistakes. I’m sure glad I did, because it’s made me a much more confident and competent investor today.
 
And since everyone always looks around for opinions on the market, I will leave you with one bit of bullish technical insight on our King, Bitcoin. Basic Elliot Wave Theory says that markets move in ebbs and flows – 5 waves in the direction of the trend, followed by 3 waves of correction. And these waves are fractal in nature, meaning that a full 5-wave pattern forms a single larger wave within a higher degree pattern. All that being said, IF Bitcoin’s run up to its ATH in December constitutes a completed 5-wave pattern, we could consider that history as Wave 1 of a larger up-trend. Using Fibonacci extension ratios that appear in all markets (including crypto, very prominently, even with BTC), we can project the likely extensions of the Wave 3 that would come after we’re done correcting here. Based on analysis run by eSignal, a popular trading platform, the length of Wave 3 will likely reach either 1.62, 2.62 or 4.25 times the length of Wave 1. That means our Wave 3 high would take the price of a single Bitcoin to roughly $32,000, $64,000 or $98,000.
 
You can view these Elliot Wave Projections (in GBP) here
 
Technical analysis is very subjective, this is merely one possible outcome. But ask yourself, if you had the chance to invest in something with global reach that could make a 5x or even 10x return on your investment, what would you risk for that opportunity?
 
Thanks for taking the time to read, and I hope this helps some of you.
 
Happy investing, Andy
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Moving Average Trading Secrets (This is What You Must Know ... How to Trade Moving Averages (Part 1) - YouTube Why we use the 8 day exponential moving average - YouTube Adding EMAs (Exponential Moving Averages) to Your Chart ... BEST MOVING AVERAGES: This Is What Professionals Use (For ...

Forex Exponential Moving Average Scalping OFFICIAL SITE: INCOMEMENTORBOX.COM. In Forex trading, scalping is a popular method, one which provides lots of small profits, and the best way to go about this is by using exponential moving averages. The exponential moving average (EMA) is a weighted moving average calculated by taking the average price for a particular market over a defined period of time and adjusting this figure to increase ... How exponential moving averages work There is a debunked myth that banks are following some kind of 'magical moving average.' ... The use of exponential moving averages in forex trading. Mon 14 ... Exponential Moving Averages FAQs. How do you use the EMA in Forex? You can use the exponential moving average (EMA) multiple ways in the Forex market. The most common way is to use those moving averages to define the trend, but it is also worth noting that there is no “perfect moving average”, although some will try to tell you otherwise. Exponential Moving Average (EMA) vs. Simple Moving Average (SMA) Let’s take a look at the 4-hour chart of USD/JPY to highlight how a simple moving average (SMA) and exponential moving average (EMA) would look side by side on a chart. Notice how the red line (the 30 EMA) seems to be a closer price than the blue line (the 30 SMA).

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Moving Average Trading Secrets (This is What You Must Know ...

100% Profitable 100&200 Exponential Moving Average crossover Forex Trading Strategy Welcome Friends to 's Biggest Technical Analysis Youtube Channel Our Drea... In this video we show you the BEST moving average trading strategy that will take your trading to next level. The specific moving average we use is the 50 EM... For years I used the 10 period simple moving average. After meeting Ed Seykota I started using the 5 period exponential moving average. I found it to be "too... Discover how the moving average trading indicator helps you better time your entries, "predict" market turning points, and increase your winning rate. ** FRE... In this two part video tutorial, Trading 212 shows you how to trade moving averages. In the first video you will learn what moving averages are and how they ...

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