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Upcoming Weekly Forecast of Important News Events & Holidays. For Daily free forex technical and fundamental analysis Use our analysis: https://analysis.traderpulse.com

Upcoming Weekly Forecast of Important News Events & Holidays. For Daily free forex technical and fundamental analysis Use our analysis: https://analysis.traderpulse.com submitted by traderpulse to u/traderpulse [link] [comments]

Upcoming Weekly Forecast of Important News Events & Holidays. For Daily free forex technical and fundamental analysis Use our analysis: https://analysis.traderpulse.com

Upcoming Weekly Forecast of Important News Events & Holidays. For Daily free forex technical and fundamental analysis Use our analysis: https://analysis.traderpulse.com submitted by traderpulse to u/traderpulse [link] [comments]

Upcoming Weekly Forecast of Important News Events & Holidays. For Daily free forex technical and fundamental analysis Use our analysis: https://analysis.traderpulse.com

Upcoming Weekly Forecast of Important News Events & Holidays. For Daily free forex technical and fundamental analysis Use our analysis: https://analysis.traderpulse.com submitted by traderpulse to u/traderpulse [link] [comments]

Upcoming Weekly Forecast of Important News Events & Holidays. For Daily free forex technical and fundamental analysis Use our analysis: https://analysis.traderpulse.com

Upcoming Weekly Forecast of Important News Events & Holidays. For Daily free forex technical and fundamental analysis Use our analysis: https://analysis.traderpulse.com submitted by traderpulse to u/traderpulse [link] [comments]

Upcoming Weekly Forecast of Important News Events & Holidays. For Daily free forex technical and fundamental analysis Use our analysis: https://analysis.traderpulse.com

Upcoming Weekly Forecast of Important News Events & Holidays. For Daily free forex technical and fundamental analysis Use our analysis: https://analysis.traderpulse.com submitted by traderpulse to u/traderpulse [link] [comments]

Upcoming Weekly Forecast of Important News Events & Holidays. For Daily free forex technical and fundamental analysis Use our analysis: https://analysis.traderpulse.com #forexevents #upcomingevents #forexnews #economicnews #economiccalendar #technicalanalysis #forexanalysis #forexmarket #traderpulse

Upcoming Weekly Forecast of Important News Events & Holidays. For Daily free forex technical and fundamental analysis Use our analysis: https://analysis.traderpulse.com #forexevents #upcomingevents #forexnews #economicnews #economiccalendar #technicalanalysis #forexanalysis #forexmarket #traderpulse submitted by traderpulse to u/traderpulse [link] [comments]

Upcoming Weekly Forecast of Important News Events & Holidays. For Daily free forex technical and fundamental analysis Use our analysis: https://analysis.traderpulse.com

Upcoming Weekly Forecast of Important News Events & Holidays. For Daily free forex technical and fundamental analysis Use our analysis: https://analysis.traderpulse.com submitted by traderpulse to u/traderpulse [link] [comments]

Upcoming Weekly Forecast of Important News Events & Holidays. For Daily free forex technical and fundamental analysis Use our analysis: https://analysis.traderpulse.com

Upcoming Weekly Forecast of Important News Events & Holidays. For Daily free forex technical and fundamental analysis Use our analysis: https://analysis.traderpulse.com submitted by traderpulse to u/traderpulse [link] [comments]

Upcoming Weekly Forecast of Important News Events & Holidays. For Daily free forex technical and fundamental analysis Use our analysis: https://analysis.traderpulse.com

Upcoming Weekly Forecast of Important News Events & Holidays. For Daily free forex technical and fundamental analysis Use our analysis: https://analysis.traderpulse.com submitted by traderpulse to u/traderpulse [link] [comments]

Your Pre Market Brief for 07/16/2020

Pre Market Brief for Thursday July 16th 2020

You can subscribe to the daily 4:00 AM Pre Market Brief on The Twitter Link Here . Alerts in the tweets will direct you to the daily 4:00 AM Pre Market Brief in this sub.
Updated as of 4:45 AM EST
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Stock Futures:
Wednesday 07/15/2020 News and Markets Recap:
Thursday July 16th 2020 Economic Calendar (All times are in EST)
(JOBLESS CLAIMS TODAY)
News Heading into Thursday July 16th 2020:
NOTE: I USUALLY (TRY TO) POST MANY OF THE MOST PROMISING, DRAMATIC, OR BAD NEWS OVERNIGHT STORIES THAT ARE LIKELY IMPORTANT TO THE MEMBERS OF THIS SUB AT THE TOP OF THIS LIST. PLEASE DO NOT YOLO THE VARIOUS TICKERS WITHOUT DOING RESEARCH! THE TIME STAMPS ON THESE MAY BE LATER THAN OTHERS ON THE WEB.
Upcoming Earnings:
Commodities:
COVID-19 Stats and News:
Macro Considerations:
Most Recent SEC Filings
Other
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Morning Research and Trading Prep Tool Kit
Other Useful Resources:
The Ultimate Quick Resource For the Amateur Trader.
Subscribe to This Brief and the daily 4:00 AM Pre Market Brief on The Twitter Link Here . Alerts in the tweets will direct you to the daily brief in this sub
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Profitable Forex Strategy Reddit | 3 Easy Forex Strategies Easy For MT4

Profitable Forex Strategy Reddit | 3 Easy Forex Strategies Easy For MT4

The need for a trading strategy in Forex market

https://preview.redd.it/r6u8stdmeaw51.jpg?width=1320&format=pjpg&auto=webp&s=1b0292502d6e68f5c220af5a5851aeb8061b395b
Almost all trading manuals talk about the need to have your own trading strategy. First of all, the process of creating your trading scheme allows you to perfectly understand trading and exclude from it any eventuality that hides additional risk.
Profitable forex strategy: it is a type of instruction for the trader, which helps to follow a clearly verified algorithm and safeguard his deposit from emotional errors and consequences of the unpredictability of the Forex currency market.
Thanks to her, you will always know the answer to the question: how to act in certain market conditions. You have the conditions of opening a transaction, the conditions of its closing, likewise, you do not guess if it is time or not. You do what the trading strategy tells you. This does not mean that it cannot be changed. A healthy trading scheme in the forex market must be constantly adjusted, it must comply with the realities of current market trends, but there must be no unfounded arguments in it.
>>> Forex Signals With Unbeatable Performance: Verified Forex Results And 5° Rated On Investing.com |Free Forex Signals Trial: CLICK HERE TO JOIN FOR FREE

Profitable Forex Strategy Reddit

Types of trading strategies
The forms of a trading strategy can combine a variety of methods. However, several of the most commonly used options can be highlighted.
  • Trading strategy based on various complementary technical indicators
  • Trading strategy using Bollinger Bands
  • Moving Average Strategy
  • Technical figures and patterns
  • Trading with Fibonacci levels
  • Candlestick trading strategy
  • Trend trading strategy
  • Flat trading strategy
  • Scalping
  • Fundamental analysis as the basis of the strategy

Three most profitable Forex strategies

Important! These strategies are the basis for building your own trading system. Indicator settings and recommended pending order levels are for consultation only. If you do not get a satisfactory outcome in the test result or in a live account, that does not mean that the problem is the strategy. It is enough to choose individual parameters of indicators under a separate asset and under the current market situation.

1. “Bali” scalping strategy

This strategy is one of the most popular, at least its description can be found on many websites. However, the recommendations will be different. According to the author's idea, "Bali" refers to scalping tactics, as it facilitates a fairly short stop loss (SL) and take profit (TP). However, the recommended time frame is high, because the signals appear not very often. The authors recommend using the H1 interval and the EUR / USD currency pair.
Indicators used:
  • Linear Weighted Moving Average. Period 48 (red line).
https://preview.redd.it/9mhs67mxeaw51.jpg?width=461&format=pjpg&auto=webp&s=913d428edd4cab0a3237e7039829a76dd587f1f5
The weighted linear moving average here acts as an additional filter. Due to the fact that LWMA gives more weight to the values ​​of the last periods, the indicator in the long periods practically excludes delays. In some cases, LWMA can give a signal beforehand, but in this strategy only the moving position relative to price is important. Bearish LWMA is a buy signal, sell bullish.
  • Trend Envelopes_v2. Period 2 (orange and blue lines).
https://preview.redd.it/8bap0s41faw51.jpg?width=627&format=pjpg&auto=webp&s=a6236ad06765280bbfd655fa1fb4153b28aaaf56
The indicator is also based on the moving average, but the formula is slightly different for the calculation. Its marking is more precise (the impact of price noise has been eliminated). It allows you to identify the twists of the trend compared to the usual mobile with a slight anticipation. Trend Envelopes has an interesting property: the color of the line and its new location changes when the price penetrates its old trend line, a kind of signal.
  • DSS of momentum. The configuration in the screenshot below.
https://preview.redd.it/9ch27cj4faw51.jpg?width=630&format=pjpg&auto=webp&s=00558bbd90378009bef33b7c96c77f884b912667
The indicator is placed in a separate window below the chart. This is an oscillator whose task is to determine the pivot points of the trend. And it does so much faster than standard oscillators. It has two lines: the signal is dotted, the additional line is solid, but the receiver has 2 kinds of colors (orange and green).
  • Important! Note that the indicators for the “Bali” strategy are chosen in such a way as to ultimately give an early signal. This gives the trader time to confirm the signal and check the fundamentals.
MA is one of the basics on MT4, the other two indicators can be found in the archive for free here. To add them to the platform, click on MT4: "File / Open data directory". In the folder that opens, follow the following path: MQL4 / Indicators. Copy the flags to the folder and restart the platform.
Also Read: Make Money With Trading
Conditions to open a long position:
  • Price penetrates the orange Trend Envelopes line from the bottom up. At the same time in the same candle there is a change of the orange line that falls to a growing celestial.
  • The candle is above LWMA. Once the above condition has been met, we wait for the candle to appear above the moving one. It is important that it closes above the LWMA red line. It is mandatory to have a Skyline Trend Envelopes on a signal candle.
  • The additional DSS of momentum line on the signal candle is green and is above the dotted line of the signal (that is, it crosses or crosses it).
We open a trade at the close of the signal candle. The recommended stop level is 20-25 points in 4-digit quotes, take profit at 40-50 points.
https://preview.redd.it/t48d55s8faw51.jpg?width=1000&format=pjpg&auto=webp&s=1e93863745e74dec536178539817225767cbeb1c
The arrow indicates a signal candle where a Trend Envelopes color change occurred. Note (purple ovals) that the blue line is below the orange line and goes upwards (in other cases the signal should be ignored). In the signal candle, the green DSS of momentum line is above the dotted line.
Conditions to open a short position:
  • Price penetrates the Trend Envelopes sky line from top to bottom. At the same time in the same candle there is a change from the increasing celestial line to the falling orange.
  • The candle is below LWMA. Once the above condition has been met, we wait for the candle to appear below the mobile. It is important that it closes below the LWMA red line. It is mandatory to have an orange Trend Envelopes line on a signal candle.
  • The additional DSS of momentum line on the signal candle is orange and is below the dotted line of the signal (i.e. crosses or crosses it).
https://preview.redd.it/6uixkl1dfaw51.jpg?width=1000&format=pjpg&auto=webp&s=dd53442c633e80c1e55da72cd5ffe9cda2e85b8a
Some examples where a transaction cannot be opened:
  1. In the screenshot below the signal candle closed at the moving level (red line), it was practically below it.
https://preview.redd.it/2o1wpocgfaw51.jpg?width=1000&format=pjpg&auto=webp&s=58d3286bf2884b5f0dfdaa0a62b68d2d50cdabf8
  1. In the screenshot below the signal candle is DSS below its signal line. Also, the celestial line is horizontal and not ascending.
https://preview.redd.it/1nfi1etjfaw51.jpg?width=801&format=pjpg&auto=webp&s=ff9fcbc10a485c5102ef7a135de47332827caf54
The signals are relatively rare, a signal can be expected for several days. In half the cases, it is better to control the transaction and close in advance, without waiting for profit taking. We do not operate at the time of flat. Try this strategy directly in the browser and see the result.
>>> Forex Signals With Unbeatable Performance: Verified Forex Results And 5° Rated On Investing.com |Free Forex Signals Trial: CLICK HERE TO JOIN FOR FREE

2. “Va-Bank” candle strategy

This profitable Forex strategy is weekly and can be used on different currency pairs. It is based on the spring principle of price movement, what went up quickly, sooner or later must fall. To trade you will only need a schedule on any platform and W1 time frame (although the daily interval can be used).
You should estimate the size of the candle bodies of different currency pairs ( AUDCAD , AUDJPY , AUDUSD , EURGBP , EURJPY , GBPUSD , CHFJPY , NZDCHF , EURAUD , AUDCHF , CADCHF , EURUSD , EURCAD , GBPCHF ) and choose the largest distance from the opening to the close of the candle in the framework of the week. In this to open a transaction at the beginning of the following week.
Conditions to open a long position:
  • The bearish candle, which signifies last week's movement, has a relatively large body.
Open a long position early next week. Make sure to place a stop loss at 100-140 points and a take profit at 50-70 points. When it is midweek, close the order if it has not yet been closed at take profit or stop loss. After that, wait again for the beginning of the week and repeat the procedure, in any case do not open operations at the end of the current week.
https://preview.redd.it/vuihnqspfaw51.jpg?width=1000&format=pjpg&auto=webp&s=7641e9d7701911cc255c4f0c8a53e1660c35c9fe
On this chart it is clearly seen that after each large bearish candle there is necessarily a bullish candle (although smaller). The only question is what period to take where it makes sense to compare the relative length of the candles. Here everything is individual for each currency pair. Note that a rising candle was observed followed by a few small bearish candles. But when it comes to minimizing risks, it is best not to open a long response position, as the relatively small decline from the previous week may continue.
Conditions to open a short position:
  • The bullish candle, which signifies last week's movement, has a relatively large body.
We open a short position early next week.
https://preview.redd.it/tv4zmf5ufaw51.jpg?width=1000&format=pjpg&auto=webp&s=61cd1dcfc4aebfa6f80343b6c51f7a6e46358602
The red arrows point to the candles that had a large body around the previous bullish candles. Almost all signals turned out to be profitable, except for the transactions indicated by a blue arrow. The shortcomings of the strategy are rare signs, albeit with a high probability of profit. The best thing is that it can be used in several pairs at the same time.
This strategy has an interesting modification based on similar logic. Investors with little capital opt for intraday strategies, as their money is insufficient to exert radical pressure on the market. Therefore, if there is a strong move on the weekly chart, this may indicate a cluster of large strong traders. In other words, if there are three weekly candles in one direction, it is most likely the fourth. Here you also have to take into account the psychological factor, 4 candles is equal to one month, and those who "push" the market in one direction, within a month will begin to set profits.
Strategy principle:
  • A "three candles" pattern (ascending and descending) formed on the weekly chart.
  • It is preferable that each subsequent candle was larger than the previous one. Doji is not taken into account (disembodied candles).
  • Stop is placed at the closing level of the first candle of the constructed formation. Take profit at 50-100% of the last candle, but it is often better to manually close the trade.
An example of this type of formation in the screenshot below.
https://preview.redd.it/iu7cwa7xfaw51.jpg?width=1000&format=pjpg&auto=webp&s=9195d24b72d2bda5394614380e9e5bc167f108a5
Of the 5 patterns, 4 were effective. Lack of strategy, the pattern can be expected 2-3 months. But when launching a multi-currency strategy this expectation is justified. Consider swaps!
>>> Forex Signals With Unbeatable Performance: Verified Forex Results And 5° Rated On Investing.com |Free Forex Signals Trial: CLICK HERE TO JOIN FOR FREE

3. Parabolic Profit Based on Moving Average

This strategy is universal and is usually given as an example for novice traders. It uses classic EMA (Exponential Moving Average) indicators for MT4 and Parabolic SAR, which acts as a confirmatory indicator.
The strategy is trend. Most sources suggest using it in "minutes", but price noise reduces its efficiency. It is better to use M15-M30 intervals. Currency pairs - Any, but you may need to adjust the indicator settings.
Indicators used:
  • EMA with periods 5, 25 and 50. EMA (5) in red, EMA (25) and EMA (50) in yellow. Apply to Close (closing price).
https://preview.redd.it/ly7ju8o3gaw51.jpg?width=1000&format=pjpg&auto=webp&s=61dee5b0d994d09a375e01e2b9afe188dd2ee0ed
  • Parabolic SAR, parameters remain unchanged (color correct at your discretion).
https://preview.redd.it/sonpv1m8gaw51.jpg?width=1000&format=pjpg&auto=webp&s=823e9ce5d279d3a98ef072694766a112a3ece775
Conditions to open a long position:
  • Red EMA (5) crosses the yellows from bottom to top.
  • Parabolic SAR is located under the sails.
Conditions to open a short position:
  • Red EMA (5) crosses the yellows from top to bottom.
  • Parabolic SAR is located above the candles.
The transaction can be opened on the same candle where the mobile crossover occurred. Stop loss at the local minimum, take profit at 20-25 points. But with the manual management of transactions you can extract great benefits. For example, close at the time of the transition from EMA (5) to a horizontal position (change of the angle of inclination of the growth to flat).
https://preview.redd.it/4un92jlegaw51.jpg?width=1000&format=pjpg&auto=webp&s=406a700c00722349622d031e20d0858e4196d18b
This screen shows that all three signals (two long and one short) were effective. It would be possible to enter the market on the candle by following the signal (in order to accurately verify the direction of the trend), but you would then miss the right time to enter. It is up to you to decide whether it is worth the risk. For one-hour intervals, these parameters hardly work, so be sure to check the performance of the indicators for each period of time in a minimum span of three years.
And now that you know the theory, a few words about how to put these strategies into practice.
Ready? Then let's get started!

From the theory to the practice

Step 1. Open demo account It's free, requires no deposit, takes up to 15 minutes, and no verification required. On the main page of your broker there is for sures a button "Register", click and follow the instructions. An account can also be opened from other menus (for example, from the top menu, from the commercial conditions of the account, etc.).
Step 2. Familiarize yourself with the functionality of the Personal Area. It won't take long. It is at the most user friendly and intuitive. You just need to understand the instruments of the platform and understand how the trades are opened.
Step 3. Launch the trading platform. The Personal Area has the platform incorporated, but it is impossible to add templates. Hence, the "Bali" and "Parabolic Profit" strategies can only be executed on MT4.

Characteristics of an effective Forex strategy Reddit

And finally, let's see what makes a profitable Forex strategy effective. What properties should it have? Perhaps three of the most important characteristics can be pointed out.
  • The minimum number of lag indicators. The smaller they are, the greater the forecast accuracy.
  • Easy. Understanding your strategy is more important than your saturation with complex elements, formulas, and schematics.
  • Uniqueness. Any trading strategy must be "tailored" to your trading style, your character, your circumstances, and so on.
It is very important to develop your own trading strategy, but it is necessary to test a large number of already available and proven strategies. On the Forex blog you will find trading strategies available for download. Before using a live account, test your chosen strategy on the demo account on the MetaTrader trading platform.
Conclusion. To successfully trade the Forex currency market, create your own trading strategy. Learn what's new, learn out-of-the-box trading schemes, and improve your individual action plan in the market. Only in this case, the trading results will satisfy you to the fullest. Success, dear readers!
>>> Forex Signals With Unbeatable Performance: Verified Forex Results And 5° Rated On Investing.com |Free Forex Signals Trial: CLICK HERE TO JOIN FOR FREE
Join the community for more articles on trading and making money on the Forex and Stock market.
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Disclosure: This post contains affiliate links, if you click and make a purchase I may receive a commission - This has NO extra cost for you.
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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.
submitted by investorinvestor to SecurityAnalysis [link] [comments]

Forecasting the End of Major Corrections, and Accumulating Trend Trading Positions.

Forecasting the End of Major Corrections, and Accumulating Trend Trading Positions.
A prerequisite post to this post can be read here; https://www.reddit.com/Forex/comments/clx0v9/profiting_in_trends_planning_for_the_impulsive/
It will also be beneficial to read this;
https://www.reddit.com/Forex/comments/clbxk2/shorting_noobs_common_trend_following_mistakes_im/

Before getting into the meat of things, you need to understand the 'elastic band' effect of large moves in the market. What this means is most of the time before a market starts to make a big move in the direction it is ultimately going, it will make a strong and usually fast counter move. You know this already in a way. You've been taught from early on (I assume) that pin bars (hammers etc) are indications the market is reversing. You're told the wicks are formed by price pushing into an area and being rejected from it.

In a trend formation, this is what the intra-week price action would tend to look like when there is the formation of reversal candles at the close of the weekly timeframe.


https://preview.redd.it/nv1nbk0c9th31.png?width=909&format=png&auto=webp&s=f87d94ee33f0d07cde211c05d9234a236a487309
Here we would have been in a down trend and then for a week or two seen bullish momentum. The blue swing is the "elastic band" move. Or what I like to call the "ping swing".

The formation I have drawn here is not arbitrary. A lot of specific things are going on in this chart. Here I've highlighted the relevant ones. When we've seen all of these, we know there is a good chance we have reached the end of a C leg correction (read up on basic Elliot wave theory if you do not understand this terminology).


https://preview.redd.it/8u9bg43nath31.png?width=1066&format=png&auto=webp&s=1ddb04a27b9a99ddbcaab5eef4e3ca7eea78e000

There can be variance in the 4 and 5 area. I am being polite, I should be honest. This area is often a bitch to trade in. Sometimes there are deep retracements and sometimes they are really shallow. Personally I've not been able to find ways to get strong ideas of how to forecast which is more likely. It tends to be an area I lose money and one I continue to work on trying to develop better ways of dealing with.

Here are examples of each type from trades I've taken recently.


https://preview.redd.it/6n0x4k43cth31.png?width=744&format=png&auto=webp&s=f03fdbff3176e1df36727f3606dbf6fc67912e53
This is explained in more context at https://www.reddit.com/Forex/comments/cks8q1/shorting_noobs_problems_proofs_and_fine_tuning/

This chart is messy because a lot of positions are being taken rather than a specific strategy being followed, but as I've explained in the 'Shorting Noobs' series of posts, I am mot interested in trading off the 61.8% fib.


https://preview.redd.it/97cb1x0wcth31.png?width=719&format=png&auto=webp&s=d49bbac385242184d9f9ba2708d1e9fe92efba42
Here is one with EURUSD that had very shallow sell-off then made the ping swing.

https://preview.redd.it/dbiujru0fth31.png?width=1025&format=png&auto=webp&s=277682a868af7cb2dc2b612243a8abfef54e9de0
You maybe thinking at this point, "But the range bit looks like it should be the 5". I know! I told you it's a bitch. As you can see here regardless of this I have still sold the best price. I am doing this by having a clear SR level I am forecasting in this sort of move. (Explained in more detail in the shorting noob series [2] [3] )
Note, it is still entirely possible that this can make another ping swing and slightly spike out this high. If it does, we have a great opportunity. At this point, we are wiser to look for the better RR trade with trend continuation by considering we are possibly in this part of the move and we have the next (usually stronger than previous) sell off coming.


https://preview.redd.it/15xd09pzfth31.png?width=730&format=png&auto=webp&s=c5e3a70fbc9411b36d74a7e32ebf5c1aabf1ad05

Which actually fits inside another cycle for a ping swing.

https://preview.redd.it/31craqbkgth31.png?width=1018&format=png&auto=webp&s=4d7cc139aa406673213c62009220a3182e7e9e55

Here is a real time forecast of a ping swing we can watch for and set pending orders (or define areas to watch for reversal patterns)

GBPUSD

https://preview.redd.it/uz93cn53ith31.png?width=1082&format=png&auto=webp&s=3b2d9a7fc12c961dafb7ee3cc7aa4c1aec29c927
(Ignore the buy trades on this, they are from a different type of strategy)

This is a lot of information, and to intrinsically understand this you'd have to go over a lot of trending charts and watch how they have developed. I have spent a hell of a lot of time on this. I will round up with leaving you just a few simple rules we can take from understanding this general pattern that recurs in trends. Some of them will help you win, others will help to prevent you losing.

1 - When it starts to chop, it's time to stop.

When a trend that has been in a free flowing form starts to get choppy, it's time to stop following the trend for the time being. You should be aware the next breakout(s) can be false ones, and the next shallow correction for a "Retest & continue" type trade is likely a trap.

2 - Big corrections rarely feature only one leg.

When you see a really big move against the trend it gets really tempting to rejoin the trend once it starts to form price action reversal candles. Any time you're entering without the market having previously faked and then spiked out early sellers at least a couple of times, you have a more risky trade.

3 - Forecast where early sellers will lose.

Quite simply, if you see a downtrend and then a spike up and what looks like the continuation of a downtrend you can assume there are sellers into what they think will be the new downtrend move. It's also quite likely these sellers have it very wrong on their stop area. It will be just above the previous highs and the consolation range. This is the very area we'd expect the ping swing to spike into and then make the proper trend move after whipsawing those who sold too early.
Where they are getting stopped out, you want to be entering. Not sure where this is? Look in Forex forums, they'll tell you.

4 - Velocity does not mean victory!

As price comes into the reversal area it will usually be carrying a lot of short term momentum and moving fast. Moving quickly into an area is not in any way an indication of a break of that area or a reversal. In fact, once you've identified where you think the ping swing will end, the more parabolic that move is into that area the better for the reversal trade. Plan ahead, do not be caught up in the moment. The moment will be deceptive.

5 - Have excellent exit plans on both sides of this sort of move.

If the move fails, the counter move running against you can be persistent. Stop losses should be around 78% of the swing. Small spike outs of the 61.8% level are to be expected. Breaks of the 76% level are not. Similarly, profits can come lightening quickly. Which can actually be a problem if you've not planned the areas you want to exit or how to trail your stops. So be well prepared to exit before you enter.


The things I have explained in this post have validity on all timeframes. I scalp with it, and I swing with it. It transfers readily to any market with trending properties. If you were to master this (especially at an intraday level - which is harder) , it would be highly likely you significantly beat what most people would think are "good returns" when the markets are trending.
It would be possible for someone who has sufficient skill in doing this to make themselves substantial profits even starting from a small amount of money and using moderate risk over the course of just trading 4 - 5 major trend moves on daily and weekly charts. This is quite an easy setup in my opinion (once it's been highlighted at least) and for as long as you can find trends to use it, it will outperform most strategies I see on public display.

(All bets are off in ranges. This will make a mockery of you if you try to do it in ranges)

Happy trend following :)
submitted by whatthefx to Forex [link] [comments]

10-25 05:03 - 'Welcome To CRYPTOWEST Telegram Support Group. [link] / Kindly read through this pinned message to get started. / About CRYPTOWEST.UK / Cryptowest.uk is a new advancing and promising Forex investment company which is regi...' by /u/Eriksneijder removed from /r/Bitcoin within 130-140min

'''
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Context Link
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Author: Eriksneijder
1: crypto*e*t.u* 2: b*ta 3: c*yp*owest.*k 4: cry*towe**.uk
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submitted by removalbot to removalbot [link] [comments]

Mainfinex: The Panacea to the Future

Mainfinex: The Panacea to the Future

Mainfinex

MAINFINEX offers a trusted exchange that crypto traders can use to make informed trades and participate in the cryptocurrency market. At the time of launch, MAINFINEX offers 15 different cryptocurrency pairs, all of which include USDT. The MAINFINEX cryptocurrency exchange offers something for every type of trader, regardless of experience level. Beginners will appreciate the intuitive interface and the fact that MAINFINEX uses Tradingview charts, which have numerous online tutorials for guidance. Advanced traders will appreciate the hundreds of drawing tools, the vast quantity of indicators, and high level of customization for charts.
Challenges faced by cryptocurrency exchanges today:
● Failure to apply global financial practices, and poor interface
● Large number of exchanges with little differentiation which complicates the choice of platform for operations
● Large number of unsuccessful traders losing money
● Pain points that are still there.

Exchange
Our understanding of the needs of the key trading parties in digital exchanges comes down to the concept “Traders seek liquidity and investors need profitability.”
  1. Liquidity and profitability
A mechanism we could build in to solve the problems of traders and long-term investors based on the exchange policy related to
trading fees:
  • Flexible interest rate depending on the volume, thus reducing the trading fee. The more activity in a trading section, the cheaper it is for that section
  • Fees reduced in case of severe price deviation. To reduce volatility and slippage and thus increase liquidity, market-making traders creating liquidity will be charged at a lower rate. The increase in volumes triggered by the reduced fee in case of price deviation will help smoothen out volatility.
  1. Reliability
Traders bearing losses have a regressive fee scale depending on the volume of the loss. This mechanism serves to mitigate the consequences of unfavorable deals for a trader.
  1. Sustainability “Back to the battle” Traders who have lost money but made it to the daily TOP 100 based on the volume will receive tokens compensating all the fees they paid or part of the losses. This will help stimulate liquidity in the exchange and create best cryptocurrency market conditions for arbitrage funds. Such funds account for up 80% of transaction in fiat exchanges.
  2. Concept: gaming elements of the exchange, buttons, etc. “Titles and statuses” With the emergence of cryptocurrencies, the world of finance has been transformed. It has to be clear and relevant for our users since the key audience of the exchange is 25-38 years old. Which means they played DOOM 2 when they were school students (in 1994). Why can’t we give simple names to complex financial instruments? It was the stunts and dirty tricks that guys in suits from investment banks played that eventually caused the mortgage crisis. We have selected the most popular financial instruments that we can provide. They can be understood and activated in one click. We have chosen simple names for them:
● "Forecast”
This button activates an analytical indicator used by most profitable traders
● "Call for help”
Activates a trading robot that will close transactions for you based on algorithms. Trading robots will be provided by successful third party funds
● "Stop me”
Block trading activity for two days. This is a mechanism that successful traders recommend to newbies. Breaks in trading activity help increase the accuracy of decisions and overall profitability
● "Join the group”
This function lets the user transfer money to a pool of professional traders. Similar to PAMM accounts in forex companies
● “Saving up for retirement”
10% from each profitable transaction will be automatically transferred to the annual/call deposit. Many experienced traders who work for themselves do not care about savings because trading is a constant source of big income. Having such a long-term deposit is one of the key ways to ensure security and can even save a family in the bad times
● “Work for us”
Traders without substantial deposits but with free working hours can make money by performing important tasks for the exchange, like in Amazon Mechanical Turk
● “Vanity fair”
Most successful traders may share their divine trading strategies in a master class for traders, with payment in our tokens.
  1. To benefit from certain options like the trading robot or funds management, users will be required to perform specific actions, e.g.: Purchasing exchange tokens. Equivalent free options: e.g., reposting our news daily throughout a month, which will also help expand the user’s subscriber base.
  2. Purchasing liquidity from “mini exchanges”
A partner exchange that will provide liquidity for trading in our exchange or display our depth of market diagram on its website will receive all the relevant fees collected in our tokens. This is how this mechanism works. Mini exchanges have a permanent audience of traders creating liquidity but due to the small volumes, the mutual liquidity among the participants is low and transactions are infrequent. This is a case of “the chicken or the egg” problem. The more users there are, the more frequently the transactions occur between the same users. Accordingly, a mini exchange will be able to increase the volume of fees collected by 3-4 times by using this opportunity.
  1. IEO sale
A shopping cart with all kinds of tokens. Includes both potentially successful and unsuccessful coins that cannot afford to pay the listing fee on their own. We collect the entire pool in a cart and sell it as one portfolio at a greatly reduced price. This gives unsuccessful ICO projects an opportunity to return part of the invested funds. And the users buying such assets at a rate below the cost level have more chances of profiting from price growth. The higher risk of unsuccessful projects in the portfolio compensated by the low price and the potentially high profitability is the key incentive.
  1. Exchange Tutorial
Just like in complex computer games such as urban construction simulators or turn-based strategies, at the first stage the player is taught how to use the game’s functionalities before he starts playing it in the full mode. Finance and cryptocurrencies have never been simple. Every individual financial instrument is based on a complex concept. The simplicity of starting to trade cryptocurrencies and the lack of regulation in the market result in a situation when most traders lose their money and investments. The tutorial works the same simple way, providing prompts on the sequence of the steps in the exchange. We will cooperate with several financial regulators to improve this instrument in order to develop new instruments that will help mitigate the risk of losses for each individual trader. At the end, many of the regulators’ tasks come down to managing the consequences of the great financial gap between trading parties.

Information correct at time of going to type. For updated information, go to Mainfinex Exchange web platform (Mainfinex Exchange website).
Note: In the event of conflict between this information and the information on the Mainfinex Exchange Website, the information on the Mainfinex Exchange Website will prevail.
Here, I present to you Mainfinex- The Future of Cryptocurrency Exchange, Mainfinex!!!
Mainfinex Exchange website
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ETH Address: 0x49d576e54C78e17E4451E7eF9f1d9C8e55360661
Email Address: [[email protected]](mailto:[email protected])
submitted by Busganda to CryptoCurrency [link] [comments]

Forex Scalping Trading Stategy

Forex Scalping Trading Stategy
Dear Traders,
My name is Ludovico and I am an associate of Horizon Trading team. Today, I would like to share with you a scalping technique that will give you an advantage in following price action fluctuations. Most importantly, this article will focus on fast timeframes trading tactics, how to spot important key levels and trigger your positions.
So, do scalping and price action go well together?
Considering that price action aims to predict what price is doing right now and where is heading, fast mindset and quick analysis become crucial; scalp trading is about the same thing. A scalp trade will take approximately 1 to 30 minutes, so to be effective and consistent in this discipline one must be reacting rapidly to price movements. Therefore, scalp requires quick analysis, quick responses and quick decisions, and at its core there is price action, which as well is all about speed and efficiency.
Now let s move on today’s topic on how to steadily understand fast trading potential earning set ups and to become a killer scalper.

What is scalping trading?

Scalping is a trading style that specialize in profiting off small price changes. It requires high level of concentration, because, due to its speed, a trader must have a strict entry exit strategy, otherwise one large loss could cancel all the many small gains in a blink of an eye.
The main features of scalping are:
Less exposure, lesser risk: A smaller exposure to price fluctuation will reduce the odds to run into adverse events.
Smaller moves are easier to forecast: Because like every market forex works on principles of supply and demands, a higher imbalance is needed to generate bigger price changes.
Smaller fluctuations are more regular than wider ones: Even in days when markets tend to less volatile, working with smaller timeframes such as (M1, M5, M15 & M30) will still grant chance of earning more frequently.
While swing trading relies on big price moves, therefore aiming for long trend following a scalper will trade that fluctuation continuously. Price action comes into play here, a solid scalp trader must be very aware of level of support and resistance and when the price could bounce off.
See image Below:

Figure 1: Support & Resistance, XAUUSD, M1, (23rd July 2019
In order to better find these areas a comparison between timeframes is necessary considering that is always advantageous to highlights the most recent zones of support & resistance (2 to 5 previous days)
Once understanding levels strategy become easier to follow, let’s find out.

Simple scalping and Horizon X scalping pattern

When trading trends continuously, important is to gauge market signals which indicate the trend is strong, opening to new potential earning scenarios for investors. When noticing price is coming back to retest important key levels forming pullbacks, a trader should always look out for entry-points.

Scalping pullbacks

Scalp traders must focus on key resistance and support level to find entry point while trading pullbacks. Here at Trading Academy we developed a system, based on fast moving price action that will enable traders to have successful daily session.
We based our method on understanding where big money players come into action and by following their liquidity volume open winning positions. Horizon X is based on several scalping price patterns which find their fundamentals in risk and money management, key levels and entry points.
See image below:

Figure 2:Scalp trading pullbacks, XAUUSD, M1, (23rd July 2019)
In the picture above I highlight the principle of trading pullbacks in M1 timeframe, this method relies on entering the market in specific hot spot key levels. Even though many traders globally do not take into consideration risk management, our vision is that while scalp trade, investors should follow clear objective rules to be effective, here is one of our coral patterns and its trade management rules.

Horizon X Pattern #3

This pattern aims to gauge momentums, big money players moves, consisting in fast formation of large body candle sticks (black bearish/white bullish)

Figure3: Pattern #3 configuration
To be formed Pattern #3 require several steps to be accomplished by the market before we can enter our position with confidence:
  • First Momentum
When price level is broken out at consolidation level big buyers make the move dragging price level on a rally, usually between 10-15 PIPS (as the image above suggests).
  1. Large candles (bodies)
  2. Mostly of one colour (back/bearish, white/bullish)
  3. Candles close its high/lows of the move
  • Consolidation Period
Within this first part price level is conditioned by the presence of many buyers on one side and sellers on the other stabilizing the price in a narrow range while building up important structure.
  1. Small candles, at least 3
  2. Greater mix between white/black or bullish/bearish candles
  • Second Momentum (breaking the price level at consolidation) – can be bearish or bullish depending on scenario)
When price level is broken out at consolidation level big buyers make the move dragging price level on a rally, usually between 10-15 PIPS (as the image above suggests).
  1. Large candles (bodies)
  2. Mostly of one colour (back/bearish, white/bullish)
  3. Candles close its high/lows of the move
  • Pullback
Price is coming back to retest level at the previous consolidation level and when fractal is formed market is giving investors hints that a good spot to open a position is coming up.
  1. Small candles, at least 3
  2. Greater mix between white/black or bullish/bearish candles

Entering the market

Pattern #3 can be traded by entering the market within the retesting price area at consolidation level, however the tactics would be based more on aggressivity of trader personality and behaviour. In this booklet we will describe the most commonly used one.
Entering in consolidation structure
Market needs more liquidity for further movement and is going deeper toward the structure taking stop losses of weak traders. Smarter investors, however, use these stop losses for their position gaining, entering the market when a fractal is formed.
See image below:

Figure 4: Pattern #3, entering market at consolidation structure, USDCHF H1 (22nd July 2019)
Entering at consolidation boarder
Price touches edges of consolidation and starts to reverse. We would like to open position when fractal is formed.
See image below:

Figure 5: Pattern #3, market entry at consolidation border, GBPUSD M1 (14th Mar 2019)
  • Entering after false break out
Severe stop-loss testing. Big players move price aggressively till the point that it breaks consolidation structure. This is a perfect situation for major traders to enter the market, pushing the price towards its original direction. We will conservatively open trade when the price level reaches back consolidation, forming a fractal.
See image below:

Figure 6: Pattern #3, market entry after false break out, GBPUSD M1 (6th June 2019)

Trade Management

Similarly, we can use 4 elementary exit strategies of our Horizon X Pattern #3.
  1. We will aim for a high structure level from higher timeframes (very good as a second take profit).
  2. For 1-minute timeframe we will take half of our position with 10 points profit as a target and put our stop-loss on break-even for the rest of the position.
  3. Our take profit is based on having ATR 80 %.
  4. Rule of safety. Our first take profit is set to risk-reward ratio 1:1 with a half of position. When the take profit is hit, we are in a risk-free position for the second target.
On the other hand, stop losses will be always places on top of the entry structure to avoid important losses which will likely vanish all the trader day effort.
submitted by Horizon_Trading to u/Horizon_Trading [link] [comments]

[05/22/2016] Sunday's Off Topic Free Talk Thread

/LonghornNation Daily Off Topic Free Talk Thread

105 DAYS UNTIL THE NEXT LONGHORN FOOTBALL GAME

Today: 05/22/2016
Yesterday's Thread

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Your go-to place to talk about whatever you want. From the dumb shit aggies do on a near daily basis, to the latest whatever happening wherever. What ya got?

SURVEY: HOW OFTEN WOULD YOU LIKE TO SEE AN OFF TOPIC THREAD POSTED?

Off Topic News

40 Acre Happenings:
  1. Longhorns season comes to end in Lafayette Invitational
  2. Texas Longhorns baseball: Where did it go wrong?
  3. Longhorn Blitz: Building talented depth on the Forty Acres
Around The Big 12:
  1. TRIBUNE-HERALD ALL-BIG 12 SOFTBALL TEAM: Parker keeps up reign over conference hitters
  2. Big 12: Mind-numbing debate — should Big 12 stand pat or pack on more teams?
  3. Oklahoma columnist: If Sooners were to leave the Big 12, they'd prefer one conference over the SEC
The Great State Of Texas:
  1. With commitment of Montrell Estell, Texas showing in-state fight
  2. Texas CB transfer Bryson Echols finds new home at Arizona State
  3. Fracking-related activities have caused majority of recent Texas earthquakes, study finds

Trending On Reddit

/All
  1. VW Sidebus
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  3. Mushroom Farming
  4. [Serious] People who have gotten into actual legal trouble over illegal torrents, what happened?
  5. Florence and the Machine gives a personal acoustic show to teen with cancer at Hospice Austin's Christopher House, after the teen missed her show the previous night due to illness
/CFB
  1. The weird story of a North Carolina resident who posed as a former All-American, Rose Bowl-winning TE for Ohio State for years, only to have his hoax exposed.
  2. LSU DE Lewis Neal discusses his hobby of day-trading on the Foreign Exchange market
  3. Former U. Mich. A.D. Dave Brandon puts Ann Arbor home up for sale at $7,000,000. Includes plaque with grammatical error at gate.
  4. Houston commit, 3* WR Bronson Boyd, flips commitment to Texas Tech
  5. Ranking the Conferences Based on Attendance and Revenue of Current Members
  6. P5 win % since 1993
  7. #1 2017 JuCO WR (according to 247Sports) Stephen Guidry commits to LSU
/LonghornNation
  1. Analysis of Newest Longhorn Commit Montrell Estell AND Houston's Chair of the BOR Says Texas is Scared of Houston. Is That The Case Or Is It Something Else? -- 4th and 5
  2. Texas Longhorns reveal new cleats for 2016 season
  3. Shaka's commencement speech to the History majors, class of 2026
  4. Just what happened in Mack Browns final 3 years?
  5. AGGIES SUCK! Softball beats Texas A&M 5-0 in NCAA Regional

Recent Longhorn Tweets

  1. @Official_MalikJ: Happy birthday to one of the 🐐's of #DBU. @Duke_Nukem21
  2. @Strong_TexasFB: Great news for the program today! #LetsRide
  3. @Longhorn_FB: One more time for @Rickthelaureate on his birthday. #LonghornLegend #HookEm https://t.co/wlU5aE1DJc
  4. @ChipBrownHD: RT @newyscruggs: I've been saying it on @NBCSportsRadio, Art Briles will make it. #Baylor wants to keep winning football games. https://t.c…
  5. @BGShaneBuechele: RT @CoachE: Getting caught up at the @lamarvikings Spring Game https://t.co/2L1iBpcXF8
  6. @charless_94: @biancaiwunze I always do
This thread was programmatically generated and posted on 05/22/2016 00:00:38 Questions? Comments? Concerns? Contact HelioOne
submitted by LonghornMod to LonghornNation [link] [comments]

Daily Forex Signals: EURUSD Daily Technical and Fundamental Forecast

Daily Forex Signals: EURUSD Daily Technical and Fundamental Forecast
Multi Management Future Solutions is the leading Forex Signals Provider Singapore with strong hand upon price volatiles, moving chart patterns, fundamental research, strong and knowledgeable forex trading experts who come up with highly profitable daily forex signals and intraday forex trading picks. Here we research the technical and fundamental forecast data of EURUSD. The EUUSD is jumped off 1.1600 after an early slide. The USD is recouping after Powell’s tentative words on Friday. The German IFO Business Climate beat desires with 103.8 focuses.
For full details analysis click the given link and sign up for 2 days free trial-
http://www.mmfsolutions.sg/news/daily-forex-signals-eurusd-daily-technical-fundamental-forecast/
https://preview.redd.it/9v439bco7ti11.jpg?width=1024&format=pjpg&auto=webp&s=2518b61a6931a1ca554825264ed115846c7e2057
submitted by sannidhyammf to u/sannidhyammf [link] [comments]

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    5. How do I know that I'm correct and not just lucky? (7 points, 31 comments)
    6. ML Papers and News (7 points, 5 comments)
    7. What are "question pools"? (6 points, 4 comments)
    8. Explanation of "Regression" (5 points, 5 comments)
    9. GT Github taking FOREVER to push to..? (4 points, 14 comments)
    10. Dead links on the course wiki (3 points, 2 comments)
  4. 67 points, 13 submissions: harshsikka123
    1. To all those struggling, some words of courage! (20 points, 18 comments)
    2. Just got locked out of my apartment, am submitting from a stairwell (19 points, 12 comments)
    3. Thoroughly enjoying the lectures, some of the best I've seen! (13 points, 13 comments)
    4. Just for reference, how long did Assignment 1 take you all to implement? (3 points, 31 comments)
    5. Grade_Learners Taking about 7 seconds on Buffet vs 5 on Local, is this acceptable if all tests are passing? (2 points, 2 comments)
    6. Is anyone running into the Runtime Error, Invalid DISPLAY variable when trying to save the figures as pdfs to the Buffet servers? (2 points, 9 comments)
    7. Still not seeing an ML4T onboarding test on ProctorTrack (2 points, 10 comments)
    8. Any news on when Optimize_Something grades will be released? (1 point, 1 comment)
    9. Baglearner RMSE and leaf size? (1 point, 2 comments)
    10. My results are oh so slightly off, any thoughts? (1 point, 11 comments)
  5. 63 points, 10 submissions: htrajan
    1. Sample test case: missing data (22 points, 36 comments)
    2. Optimize_something test cases (13 points, 22 comments)
    3. Met Burt Malkiel today (6 points, 1 comment)
    4. Heads up: Dataframe.std != np.std (5 points, 5 comments)
    5. optimize_something: graph (5 points, 29 comments)
    6. Schedule still reflecting shortened summer timeframe? (4 points, 3 comments)
    7. Quick clarification about InsaneLearner (3 points, 8 comments)
    8. Test cases using rfr? (3 points, 5 comments)
    9. Input format of rfr (2 points, 1 comment)
    10. [Shameless recruiting post] Wealthfront is hiring! (0 points, 9 comments)
  6. 62 points, 7 submissions: swamijay
    1. defeat_learner test case (34 points, 38 comments)
    2. Project 3 test cases (15 points, 27 comments)
    3. Defeat_Learner - related questions (6 points, 9 comments)
    4. Options risk/reward (2 points, 0 comments)
    5. manual strategy - you must remain in the position for 21 trading days. (2 points, 9 comments)
    6. standardizing values (2 points, 0 comments)
    7. technical indicators - period for moving averages, or anything that looks past n days (1 point, 3 comments)
  7. 61 points, 9 submissions: gatech-raleighite
    1. Protip: Better reddit search (22 points, 9 comments)
    2. Helpful numpy array cheat sheet (16 points, 10 comments)
    3. In your experience Professor, Mr. Byrd, which strategy is "best" for trading ? (12 points, 10 comments)
    4. Industrial strength or mature versions of the assignments ? (4 points, 2 comments)
    5. What is the correct (faster) way of doing this bit of pandas code (updating multiple slice values) (2 points, 10 comments)
    6. What is the correct (pythonesque?) way to select 60% of rows ? (2 points, 11 comments)
    7. How to get adjusted close price for funds not publicly traded (TSP) ? (1 point, 2 comments)
    8. Is there a way to only test one or 2 of the learners using grade_learners.py ? (1 point, 10 comments)
    9. OMS CS Digital Career Seminar Series - Scott Leitstein recording available online? (1 point, 4 comments)
  8. 60 points, 2 submissions: reyallan
    1. [Project Questions] Unit Tests for assess_portfolio assignment (58 points, 52 comments)
    2. Financial data, technical indicators and live trading (2 points, 8 comments)
  9. 59 points, 12 submissions: dyllll
    1. Please upvote helpful posts and other advice. (26 points, 1 comment)
    2. Books to further study in trading with machine learning? (14 points, 9 comments)
    3. Is Q-Learning the best reinforcement learning method for stock trading? (4 points, 4 comments)
    4. Any way to download the lessons? (3 points, 4 comments)
    5. Can a TA please contact me? (2 points, 7 comments)
    6. Is the vectorization code from the youtube video available to us? (2 points, 2 comments)
    7. Position of webcam (2 points, 15 comments)
    8. Question about assignment one (2 points, 5 comments)
    9. Are udacity quizzes recorded? (1 point, 2 comments)
    10. Does normalization of indicators matter in a Q-Learner? (1 point, 7 comments)
  10. 56 points, 2 submissions: jan-laszlo
    1. Proper git workflow (43 points, 19 comments)
    2. Adding you SSH key for password-less access to remote hosts (13 points, 7 comments)
  11. 53 points, 1 submission: agifft3_omscs
    1. [Project Questions] Unit Tests for optimize_something assignment (53 points, 94 comments)
  12. 50 points, 16 submissions: BNielson
    1. Regression Trees (7 points, 9 comments)
    2. Two Interpretations of RFR are leading to two different possible Sharpe Ratios -- Need Instructor clarification ASAP (5 points, 3 comments)
    3. PYTHONPATH=../:. python grade_analysis.py (4 points, 7 comments)
    4. Running on Windows and PyCharm (4 points, 4 comments)
    5. Studying for the midterm: python questions (4 points, 0 comments)
    6. Assess Learners Grader (3 points, 2 comments)
    7. Manual Strategy Grade (3 points, 2 comments)
    8. Rewards in Q Learning (3 points, 3 comments)
    9. SSH/Putty on Windows (3 points, 4 comments)
    10. Slight contradiction on ProctorTrack Exam (3 points, 4 comments)
  13. 49 points, 7 submissions: j0shj0nes
    1. QLearning Robot - Finalized and Released Soon? (18 points, 4 comments)
    2. Flash Boys, HFT, frontrunning... (10 points, 3 comments)
    3. Deprecations / errata (7 points, 5 comments)
    4. Udacity lectures via GT account, versus personal account (6 points, 2 comments)
    5. Python: console-driven development (5 points, 5 comments)
    6. Buffet pandas / numpy versions (2 points, 2 comments)
    7. Quant research on earnings calls (1 point, 0 comments)
  14. 45 points, 11 submissions: Zapurza
    1. Suggestion for Strategy learner mega thread. (14 points, 1 comment)
    2. Which lectures to watch for upcoming project q learning robot? (7 points, 5 comments)
    3. In schedule file, there is no link against 'voting ensemble strategy'? Scheduled for Nov 13-20 week (6 points, 3 comments)
    4. How to add questions to the question bank? I can see there is 2% credit for that. (4 points, 5 comments)
    5. Scratch paper use (3 points, 6 comments)
    6. The big short movie link on you tube says the video is not available in your country. (3 points, 9 comments)
    7. Distance between training data date and future forecast date (2 points, 2 comments)
    8. News affecting stock market and machine learning algorithms (2 points, 4 comments)
    9. pandas import in pydev (2 points, 0 comments)
    10. Assess learner server error (1 point, 2 comments)
  15. 43 points, 23 submissions: chvbs2000
    1. Is the Strategy Learner finalized? (10 points, 3 comments)
    2. Test extra 15 test cases for marketsim (3 points, 12 comments)
    3. Confusion between the term computing "back-in time" and "going forward" (2 points, 1 comment)
    4. How to define "each transaction"? (2 points, 4 comments)
    5. How to filling the assignment into Jupyter Notebook? (2 points, 4 comments)
    6. IOError: File ../data/SPY.csv does not exist (2 points, 4 comments)
    7. Issue in Access to machines at Georgia Tech via MacOS terminal (2 points, 5 comments)
    8. Reading data from Jupyter Notebook (2 points, 3 comments)
    9. benchmark vs manual strategy vs best possible strategy (2 points, 2 comments)
    10. global name 'pd' is not defined (2 points, 4 comments)
  16. 43 points, 15 submissions: shuang379
    1. How to test my code on buffet machine? (10 points, 15 comments)
    2. Can we get the ppt for "Decision Trees"? (8 points, 2 comments)
    3. python question pool question (5 points, 6 comments)
    4. set up problems (3 points, 4 comments)
    5. Do I need another camera for scanning? (2 points, 9 comments)
    6. Is chapter 9 covered by the midterm? (2 points, 2 comments)
    7. Why grade_analysis.py could run even if I rm analysis.py? (2 points, 5 comments)
    8. python question pool No.48 (2 points, 6 comments)
    9. where could we find old versions of the rest projects? (2 points, 2 comments)
    10. where to put ml4t-libraries to install those libraries? (2 points, 1 comment)
  17. 42 points, 14 submissions: larrva
    1. is there a mistake in How-to-learn-a-decision-tree.pdf (7 points, 7 comments)
    2. maximum recursion depth problem (6 points, 10 comments)
    3. [Urgent]Unable to use proctortrack in China (4 points, 21 comments)
    4. manual_strategynumber of indicators to use (3 points, 10 comments)
    5. Assignment 2: Got 63 points. (3 points, 3 comments)
    6. Software installation workshop (3 points, 7 comments)
    7. question regarding functools32 version (3 points, 3 comments)
    8. workshop on Aug 31 (3 points, 8 comments)
    9. Mount remote server to local machine (2 points, 2 comments)
    10. any suggestion on objective function (2 points, 3 comments)
  18. 41 points, 8 submissions: Ran__Ran
    1. Any resource will be available for final exam? (19 points, 6 comments)
    2. Need clarification on size of X, Y in defeat_learners (7 points, 10 comments)
    3. Get the same date format as in example chart (4 points, 3 comments)
    4. Cannot log in GitHub Desktop using GT account? (3 points, 3 comments)
    5. Do we have notes or ppt for Time Series Data? (3 points, 5 comments)
    6. Can we know the commission & market impact for short example? (2 points, 7 comments)
    7. Course schedule export issue (2 points, 15 comments)
    8. Buying/seeking beta v.s. buying/seeking alpha (1 point, 6 comments)
  19. 38 points, 4 submissions: ProudRamblinWreck
    1. Exam 2 Study topics (21 points, 5 comments)
    2. Reddit participation as part of grade? (13 points, 32 comments)
    3. Will birds chirping in the background flag me on Proctortrack? (3 points, 5 comments)
    4. Midterm Study Guide question pools (1 point, 2 comments)
  20. 37 points, 6 submissions: gatechben
    1. Submission page for strategy learner? (14 points, 10 comments)
    2. PSA: The grading script for strategy_learner changed on the 26th (10 points, 9 comments)
    3. Where is util.py supposed to be located? (8 points, 8 comments)
    4. PSA:. The default dates in the assignment 1 template are not the same as the examples on the assignment page. (2 points, 1 comment)
    5. Schedule: Discussion of upcoming trading projects? (2 points, 3 comments)
    6. [defeat_learners] More than one column for X? (1 point, 1 comment)
  21. 37 points, 3 submissions: jgeiger
    1. Please send/announce when changes are made to the project code (23 points, 7 comments)
    2. The Big Short on Netflix for OMSCS students (week of 10/16) (11 points, 6 comments)
    3. Typo(?) for Assess_portfolio wiki page (3 points, 2 comments)
  22. 35 points, 10 submissions: ltian35
    1. selecting row using .ix (8 points, 9 comments)
    2. Will the following 2 topics be included in the final exam(online student)? (7 points, 4 comments)
    3. udacity quiz (7 points, 4 comments)
    4. pdf of lecture (3 points, 4 comments)
    5. print friendly version of the course schedule (3 points, 9 comments)
    6. about learner regression vs classificaiton (2 points, 2 comments)
    7. is there a simple way to verify the correctness of our decision tree (2 points, 4 comments)
    8. about Building an ML-based forex strategy (1 point, 2 comments)
    9. about technical analysis (1 point, 6 comments)
    10. final exam online time period (1 point, 2 comments)
  23. 33 points, 2 submissions: bhrolenok
    1. Assess learners template and grading script is now available in the public repository (24 points, 0 comments)
    2. Tutorial for software setup on Windows (9 points, 35 comments)
  24. 31 points, 4 submissions: johannes_92
    1. Deadline extension? (26 points, 40 comments)
    2. Pandas date indexing issues (2 points, 5 comments)
    3. Why do we subtract 1 from SMA calculation? (2 points, 3 comments)
    4. Unexpected number of calls to query, sum=20 (should be 20), max=20 (should be 1), min=20 (should be 1) -bash: syntax error near unexpected token `(' (1 point, 3 comments)
  25. 30 points, 5 submissions: log_base_pi
    1. The Massive Hedge Fund Betting on AI [Article] (9 points, 1 comment)
    2. Useful Python tips and tricks (8 points, 10 comments)
    3. Video of overview of remaining projects with Tucker Balch (7 points, 1 comment)
    4. Will any material from the lecture by Goldman Sachs be covered on the exam? (5 points, 1 comment)
    5. What will the 2nd half of the course be like? (1 point, 8 comments)
  26. 30 points, 4 submissions: acschwabe
    1. Assignment and Exam Calendar (ICS File) (17 points, 6 comments)
    2. Please OMG give us any options for extra credit (8 points, 12 comments)
    3. Strategy learner question (3 points, 1 comment)
    4. Proctortrack: Do we need to schedule our test time? (2 points, 10 comments)
  27. 29 points, 9 submissions: _ant0n_
    1. Next assignment? (9 points, 6 comments)
    2. Proctortrack Onboarding test? (6 points, 11 comments)
    3. Manual strategy: Allowable positions (3 points, 7 comments)
    4. Anyone watched Black Scholes documentary? (2 points, 16 comments)
    5. Buffet machines hardware (2 points, 6 comments)
    6. Defeat learners: clarification (2 points, 4 comments)
    7. Is 'optimize_something' on the way to class GitHub repo? (2 points, 6 comments)
    8. assess_portfolio(... gen_plot=True) (2 points, 8 comments)
    9. remote job != remote + international? (1 point, 15 comments)
  28. 26 points, 10 submissions: umersaalis
    1. comments.txt (7 points, 6 comments)
    2. Assignment 2: report.pdf (6 points, 30 comments)
    3. Assignment 2: report.pdf sharing & plagiarism (3 points, 12 comments)
    4. Max Recursion Limit (3 points, 10 comments)
    5. Parametric vs Non-Parametric Model (3 points, 13 comments)
    6. Bag Learner Training (1 point, 2 comments)
    7. Decision Tree Issue: (1 point, 2 comments)
    8. Error in Running DTLearner and RTLearner (1 point, 12 comments)
    9. My Results for the four learners. Please check if you guys are getting values somewhat near to these. Exact match may not be there due to randomization. (1 point, 4 comments)
    10. Can we add the assignments and solutions to our public github profile? (0 points, 7 comments)
  29. 26 points, 6 submissions: abiele
    1. Recommended Reading? (13 points, 1 comment)
    2. Number of Indicators Used by Actual Trading Systems (7 points, 6 comments)
    3. Software Install Instructions From TA's Video Not Working (2 points, 2 comments)
    4. Suggest that TA/Instructor Contact Info Should be Added to the Syllabus (2 points, 2 comments)
    5. ML4T Software Setup (1 point, 3 comments)
    6. Where can I find the grading folder? (1 point, 4 comments)
  30. 26 points, 6 submissions: tomatonight
    1. Do we have all the information needed to finish the last project Strategy learner? (15 points, 3 comments)
    2. Does anyone interested in cryptocurrency trading/investing/others? (3 points, 6 comments)
    3. length of portfolio daily return (3 points, 2 comments)
    4. Did Michael Burry, Jamie&Charlie enter the short position too early? (2 points, 4 comments)
    5. where to check participation score (2 points, 1 comment)
    6. Where to collect the midterm exam? (forgot to take it last week) (1 point, 3 comments)
  31. 26 points, 3 submissions: hilo260
    1. Is there a template for optimize_something on GitHub? (14 points, 3 comments)
    2. Marketism project? (8 points, 6 comments)
    3. "Do not change the API" (4 points, 7 comments)
  32. 26 points, 3 submissions: niufen
    1. Windows Server Setup Guide (23 points, 16 comments)
    2. Strategy Learner Adding UserID as Comment (2 points, 2 comments)
    3. Connect to server via Python Error (1 point, 6 comments)
  33. 26 points, 3 submissions: whoyoung99
    1. How much time you spend on Assess Learner? (13 points, 47 comments)
    2. Git clone repository without fork (8 points, 2 comments)
    3. Just for fun (5 points, 1 comment)
  34. 25 points, 8 submissions: SharjeelHanif
    1. When can we discuss defeat learners methods? (10 points, 1 comment)
    2. Are the buffet servers really down? (3 points, 2 comments)
    3. Are the midterm results in proctortrack gone? (3 points, 3 comments)
    4. Will these finance topics be covered on the final? (3 points, 9 comments)
    5. Anyone get set up with Proctortrack? (2 points, 10 comments)
    6. Incentives Quiz Discussion (2-01, Lesson 11.8) (2 points, 3 comments)
    7. Anyone from Houston, TX (1 point, 1 comment)
    8. How can I trace my error back to a line of code? (assess learners) (1 point, 3 comments)
  35. 25 points, 5 submissions: jlamberts3
    1. Conda vs VirtualEnv (7 points, 8 comments)
    2. Cool Portfolio Backtesting Tool (6 points, 6 comments)
    3. Warren Buffett wins $1M bet made a decade ago that the S&P 500 stock index would outperform hedge funds (6 points, 12 comments)
    4. Windows Ubuntu Subsystem Putty Alternative (4 points, 0 comments)
    5. Algorithmic Trading Of Digital Assets (2 points, 0 comments)
  36. 25 points, 4 submissions: suman_paul
    1. Grade statistics (9 points, 3 comments)
    2. Machine Learning book by Mitchell (6 points, 11 comments)
    3. Thank You (6 points, 6 comments)
    4. Assignment1 ready to be cloned? (4 points, 4 comments)
  37. 25 points, 3 submissions: Spareo
    1. Submit Assignments Function (OS X/Linux) (15 points, 6 comments)
    2. Quantsoftware Site down? (8 points, 38 comments)
    3. ML4T_2017Spring folder on Buffet server?? (2 points, 5 comments)
  38. 24 points, 14 submissions: nelsongcg
    1. Is it realistic for us to try to build our own trading bot and profit? (6 points, 21 comments)
    2. Is the risk free rate zero for any country? (3 points, 7 comments)
    3. Models and black swans - discussion (3 points, 0 comments)
    4. Normal distribution assumption for options pricing (2 points, 3 comments)
    5. Technical analysis for cryptocurrency market? (2 points, 4 comments)
    6. A counter argument to models by Nassim Taleb (1 point, 0 comments)
    7. Are we demandas to use the sample for part 1? (1 point, 1 comment)
    8. Benchmark for "trusting" your trading algorithm (1 point, 5 comments)
    9. Don't these two statements on the project description contradict each other? (1 point, 2 comments)
    10. Forgot my TA (1 point, 6 comments)
  39. 24 points, 11 submissions: nurobezede
    1. Best way to obtain survivor bias free stock data (8 points, 1 comment)
    2. Please confirm Midterm is from October 13-16 online with proctortrack. (5 points, 2 comments)
    3. Are these DTlearner Corr values good? (2 points, 6 comments)
    4. Testing gen_data.py (2 points, 3 comments)
    5. BagLearner of Baglearners says 'Object is not callable' (1 point, 8 comments)
    6. DTlearner training RMSE none zero but almost there (1 point, 2 comments)
    7. How to submit analysis using git and confirm it? (1 point, 2 comments)
    8. Passing kwargs to learners in a BagLearner (1 point, 5 comments)
    9. Sampling for bagging tree (1 point, 8 comments)
    10. code failing the 18th test with grade_learners.py (1 point, 6 comments)
  40. 24 points, 4 submissions: AeroZach
    1. questions about how to build a machine learning system that's going to work well in a real market (12 points, 6 comments)
    2. Survivor Bias Free Data (7 points, 5 comments)
    3. Genetic Algorithms for Feature selection (3 points, 5 comments)
    4. How far back can you train? (2 points, 2 comments)
  41. 23 points, 9 submissions: vsrinath6
    1. Participation check #3 - Haven't seen it yet (5 points, 5 comments)
    2. What are the tasks for this week? (5 points, 12 comments)
    3. No projects until after the mid-term? (4 points, 5 comments)
    4. Format / Syllabus for the exams (2 points, 3 comments)
    5. Has there been a Participation check #4? (2 points, 8 comments)
    6. Project 3 not visible on T-Square (2 points, 3 comments)
    7. Assess learners - do we need to check is method implemented for BagLearner? (1 point, 4 comments)
    8. Correct number of days reported in the dataframe (should be the number of trading days between the start date and end date, inclusive). (1 point, 0 comments)
    9. RuntimeError: Invalid DISPLAY variable (1 point, 2 comments)
  42. 23 points, 8 submissions: nick_algorithm
    1. Help with getting Average Daily Return Right (6 points, 7 comments)
    2. Hint for args argument in scipy minimize (5 points, 2 comments)
    3. How do you make money off of highly volatile (high SDDR) stocks? (4 points, 5 comments)
    4. Can We Use Code Obtained from Class To Make Money without Fear of Being Sued (3 points, 6 comments)
    5. Is the Std for Bollinger Bands calculated over the same timespan of the Moving Average? (2 points, 2 comments)
    6. Can't run grade_learners.py but I'm not doing anything different from the last assignment (?) (1 point, 5 comments)
    7. How to determine value at terminal node of tree? (1 point, 1 comment)
    8. Is there a way to get Reddit announcements piped to email (or have a subsequent T-Square announcement published simultaneously) (1 point, 2 comments)
  43. 23 points, 1 submission: gong6
    1. Is manual strategy ready? (23 points, 6 comments)
  44. 21 points, 6 submissions: amchang87
    1. Reason for public reddit? (6 points, 4 comments)
    2. Manual Strategy - 21 day holding Period (4 points, 12 comments)
    3. Sharpe Ratio (4 points, 6 comments)
    4. Manual Strategy - No Position? (3 points, 3 comments)
    5. ML / Manual Trader Performance (2 points, 0 comments)
    6. T-Square Submission Missing? (2 points, 3 comments)
  45. 21 points, 6 submissions: fall2017_ml4t_cs_god
    1. PSA: When typing in code, please use 'formatting help' to see how to make the code read cleaner. (8 points, 2 comments)
    2. Why do Bollinger Bands use 2 standard deviations? (5 points, 20 comments)
    3. How do I log into the [email protected]? (3 points, 1 comment)
    4. Is midterm 2 cumulative? (2 points, 3 comments)
    5. Where can we learn about options? (2 points, 2 comments)
    6. How do you calculate the analysis statistics for bps and manual strategy? (1 point, 1 comment)
  46. 21 points, 5 submissions: Jmitchell83
    1. Manual Strategy Grades (12 points, 9 comments)
    2. two-factor (3 points, 6 comments)
    3. Free to use volume? (2 points, 1 comment)
    4. Is MC1-Project-1 different than assess_portfolio? (2 points, 2 comments)
    5. Online Participation Checks (2 points, 4 comments)
  47. 21 points, 5 submissions: Sergei_B
    1. Do we need to worry about missing data for Asset Portfolio? (14 points, 13 comments)
    2. How do you get data from yahoo in panda? the sample old code is below: (2 points, 3 comments)
    3. How to fix import pandas as pd ImportError: No module named pandas? (2 points, 4 comments)
    4. Python Practice exam Question 48 (2 points, 2 comments)
    5. Mac: "virtualenv : command not found" (1 point, 2 comments)
  48. 21 points, 3 submissions: mharrow3
    1. First time reddit user .. (17 points, 37 comments)
    2. Course errors/types (2 points, 2 comments)
    3. Install course software on macOS using Vagrant .. (2 points, 0 comments)
  49. 20 points, 9 submissions: iceguyvn
    1. Manual strategy implementation for future projects (4 points, 15 comments)
    2. Help with correlation calculation (3 points, 15 comments)
    3. Help! maximum recursion depth exceeded (3 points, 10 comments)
    4. Help: how to index by date? (2 points, 4 comments)
    5. How to attach a 1D array to a 2D array? (2 points, 2 comments)
    6. How to set a single cell in a 2D DataFrame? (2 points, 4 comments)
    7. Next assignment after marketsim? (2 points, 4 comments)
    8. Pythonic way to detect the first row? (1 point, 6 comments)
    9. Questions regarding seed (1 point, 1 comment)
  50. 20 points, 3 submissions: JetsonDavis
    1. Push back assignment 3? (10 points, 14 comments)
    2. Final project (9 points, 3 comments)
    3. Numpy versions (1 point, 2 comments)
  51. 20 points, 2 submissions: pharmerino
    1. assess_portfolio test cases (16 points, 88 comments)
    2. ML4T Assignments (4 points, 6 comments)

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  55. bhrolenok (66 points, 27 comments)
  56. lingkaizuo (63 points, 46 comments)
  57. Marvel_this (62 points, 36 comments)
  58. agifft3_omscs (62 points, 35 comments)
  59. ssung40 (61 points, 47 comments)
  60. amchang87 (61 points, 32 comments)
  61. joshuak_gatech (61 points, 30 comments)
  62. fall2017_ml4t_cs_god (60 points, 50 comments)
  63. ccrouch8 (60 points, 45 comments)
  64. nick_algorithm (60 points, 29 comments)
  65. JetsonDavis (59 points, 35 comments)
  66. yjacket103 (58 points, 36 comments)
  67. hilo260 (58 points, 29 comments)
  68. coolwhip1234 (58 points, 15 comments)
  69. chvbs2000 (57 points, 49 comments)
  70. suman_paul (57 points, 29 comments)
  71. masterm (57 points, 23 comments)
  72. RolfKwakkelaar (55 points, 32 comments)
  73. rpb3 (55 points, 23 comments)
  74. venkatesh8 (54 points, 30 comments)
  75. omscs_avik (53 points, 37 comments)
  76. bman8810 (52 points, 31 comments)
  77. snladak (51 points, 31 comments)
  78. dfihn3 (50 points, 43 comments)
  79. mlcrypto (50 points, 32 comments)
  80. omscs-student (49 points, 26 comments)
  81. NellVega (48 points, 32 comments)
  82. booglespace (48 points, 23 comments)
  83. ccortner3 (48 points, 23 comments)
  84. caa5042 (47 points, 34 comments)
  85. gcalma3 (47 points, 25 comments)
  86. krushnatmore (44 points, 32 comments)
  87. sn_48 (43 points, 22 comments)
  88. thenewprofessional (43 points, 16 comments)
  89. urider (42 points, 33 comments)
  90. gatech-raleighite (42 points, 30 comments)
  91. chrisong2017 (41 points, 26 comments)
  92. ProudRamblinWreck (41 points, 24 comments)
  93. kramey8 (41 points, 24 comments)
  94. coderafk (40 points, 28 comments)
  95. niufen (40 points, 23 comments)
  96. tholladay3 (40 points, 23 comments)
  97. SaberCrunch (40 points, 22 comments)
  98. gnr11 (40 points, 21 comments)
  99. nadav3 (40 points, 18 comments)
  100. gt7431a (40 points, 16 comments)

Top Submissions

  1. [Project Questions] Unit Tests for assess_portfolio assignment by reyallan (58 points, 52 comments)
  2. [Project Questions] Unit Tests for optimize_something assignment by agifft3_omscs (53 points, 94 comments)
  3. Proper git workflow by jan-laszlo (43 points, 19 comments)
  4. Exam 2 Information by yokh_cs7646 (39 points, 40 comments)
  5. A little more on Pandas indexing/slicing ([] vs ix vs iloc vs loc) and numpy shapes by davebyrd (37 points, 10 comments)
  6. Project 1 Megathread (assess_portfolio) by davebyrd (34 points, 466 comments)
  7. defeat_learner test case by swamijay (34 points, 38 comments)
  8. Project 2 Megathread (optimize_something) by tuckerbalch (33 points, 475 comments)
  9. project 3 megathread (assess_learners) by tuckerbalch (27 points, 1130 comments)
  10. Deadline extension? by johannes_92 (26 points, 40 comments)

Top Comments

  1. 34 points: jgeiger's comment in QLearning Robot project megathread
  2. 31 points: coolwhip1234's comment in QLearning Robot project megathread
  3. 30 points: tuckerbalch's comment in Why Professor is usually late for class?
  4. 23 points: davebyrd's comment in Deadline extension?
  5. 20 points: jason_gt's comment in What would be a good quiz question regarding The Big Short?
  6. 19 points: yokh_cs7646's comment in For online students: Participation check #2
  7. 17 points: i__want__piazza's comment in project 3 megathread (assess_learners)
  8. 17 points: nathakhanh2's comment in Project 2 Megathread (optimize_something)
  9. 17 points: pharmerino's comment in Midterm study Megathread
  10. 17 points: tuckerbalch's comment in Midterm grades posted to T-Square
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Daily forex forecasts - YouTube (13 November ) daily forex forecast EURUSD / GBPUSD ... (9 NOVEMBER ) daily forex forecast  XAUUSD  XAGUSD  WTI ...

View forex and gold market outlook predictions and analysis for the week ahead - covering the major currencies. Daily Forex Forecast And Analysis 29,30 September 2020 daily analysis for forex markets.forex forecast octobre 2020.forex analysis Forex Technical Analysis & Forecast 08.10.2020 08.10.2020EURUSD, “Euro vs US Dollar”After correcting towards 1.1776, EURUSD is consolidating below this level. If later the price breaks this range to the downside, the market may start a new decline to break 1.1717 and then continue falling with the short-term target at 1.1660; if to the upside – ... 9 Nov, 2020 NordFX Forex and Crypto Forecast for November 09-13, 2020. As we expected in the previous forecast, thanks to Joe Biden's victory in the U.S. presidential election, the growth of U.S. stocks and encouraging reports from the... Before deciding to trade Forex or any other financial instrument you should carefully consider your investment objectives, level of experience, and risk appetite. We work hard to offer you valuable information about all of the brokers that we review. In order to provide you with this free service we receive advertising fees from brokers, including some of those listed within our rankings and ... Before deciding to trade Forex or any other financial instrument you should carefully consider your investment objectives, level of experience, and risk appetite. We work hard to offer you valuable information about all of the brokers that we review. In order to provide you with this free service we receive advertising fees from brokers, including some of those listed within our rankings and ... FOREX Forecasts, Analysis & Daily market News. In this section of our site we publish a daily analysis of the forex market. As a rule, any trader gets into a situation where it is necessary to know the opinion of professional traders on the market situation. That is why every day we publish the latest materials FOREX Forecasts. We publish ...

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Daily forex forecasts - YouTube

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