Forex Multiple TimeFrames Analysis Summary ...

Summarizing some free trading idea resources I've been using

I've been following many free resources on youtube and twitter to generate trading ideas. Some of them are suspicious; some are more like boasting their wining trades but never post any losing trades. I see many people ask about trading ideas/resources, so I want to briefly share some resources I find useful.
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Twitter resources:
  1. @ TicTocTick
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  1. @ tradingwarz
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  1. @ traderstewie
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Youtube resources:
  1. Conquer trading and investing. https://www.youtube.com/channel/UCN2WmKUchJpIcS1MupY-BuA
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  1. Blaze Capital: https://www.youtube.com/channel/UCq0BCGckWWjrnV8YdYO24JA
Other notes:
  1. The scalping trades in the morning is not very suitable for small accounts since they will trade for example 100 shares of BA (~160) to scalp a few dollars per share.
  2. Even though the stocks on their weekly watchlist does well very, one still need to come up with an actionable plan. Very often say they recommend stock A on Sunday, and on Monday it already gaps up big. They sometimes do YOLO options -- big risk big rewards-- options can go to 0.
  3. Besides the free content, everyone can get a free one-week trial for their paid membership, or a 2-week free trial by winning a lottery game on their youtube ( what I did) or knowing someone in their group and get a referral. What I like about the group: (i) very frequently updates each day on SPY and stocks on the watchlist. (ii) all their positions, Profit / Loss are very transparent. I learned a lot about how to manage trades by observing their live trades. (iii) There are many very experienced traders in the group posting their trading ideas, plans, entry/exit, and there are many live discussions. (iv) There's a "helpdesk" in the group where members' questions will be answered in minutes. I often ask about my trading plan, entries/ targets.
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Other resources:
  1. Shadow trader free newsletter
https://www.shadowtrader.net/newsletter-category/swing-trade
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I've spent much time looking for free contents, and I like the ones above. Also looking forward to hearing about other good/bad resources. I might also update this post if there are enough interests. NFA
submitted by Busy-Valuable to Daytrading [link] [comments]

H1 Backtest of ParallaxFX's BBStoch system

Disclaimer: None of this is financial advice. I have no idea what I'm doing. Please do your own research or you will certainly lose money. I'm not a statistician, data scientist, well-seasoned trader, or anything else that would qualify me to make statements such as the below with any weight behind them. Take them for the incoherent ramblings that they are.
TL;DR at the bottom for those not interested in the details.
This is a bit of a novel, sorry about that. It was mostly for getting my own thoughts organized, but if even one person reads the whole thing I will feel incredibly accomplished.

Background

For those of you not familiar, please see the various threads on this trading system here. I can't take credit for this system, all glory goes to ParallaxFX!
I wanted to see how effective this system was at H1 for a couple of reasons: 1) My current broker is TD Ameritrade - their Forex minimum is a mini lot, and I don't feel comfortable enough yet with the risk to trade mini lots on the higher timeframes(i.e. wider pip swings) that ParallaxFX's system uses, so I wanted to see if I could scale it down. 2) I'm fairly impatient, so I don't like to wait days and days with my capital tied up just to see if a trade is going to win or lose.
This does mean it requires more active attention since you are checking for setups once an hour instead of once a day or every 4-6 hours, but the upside is that you trade more often this way so you end up winning or losing faster and moving onto the next trade. Spread does eat more of the trade this way, but I'll cover this in my data below - it ends up not being a problem.
I looked at data from 6/11 to 7/3 on all pairs with a reasonable spread(pairs listed at bottom above the TL;DR). So this represents about 3-4 weeks' worth of trading. I used mark(mid) price charts. Spreadsheet link is below for anyone that's interested.

System Details

I'm pretty much using ParallaxFX's system textbook, but since there are a few options in his writeups, I'll include all the discretionary points here:

And now for the fun. Results!

As you can see, a higher target ended up with higher profit despite a much lower winrate. This is partially just how things work out with profit targets in general, but there's an additional point to consider in our case: the spread. Since we are trading on a lower timeframe, there is less overall price movement and thus the spread takes up a much larger percentage of the trade than it would if you were trading H4, Daily or Weekly charts. You can see exactly how much it accounts for each trade in my spreadsheet if you're interested. TDA does not have the best spreads, so you could probably improve these results with another broker.
EDIT: I grabbed typical spreads from other brokers, and turns out while TDA is pretty competitive on majors, their minors/crosses are awful! IG beats them by 20-40% and Oanda beats them 30-60%! Using IG spreads for calculations increased profits considerably (another 5% on top) and Oanda spreads increased profits massively (another 15%!). Definitely going to be considering another broker than TDA for this strategy. Plus that'll allow me to trade micro-lots, so I can be more granular(and thus accurate) with my position sizing and compounding.

A Note on Spread

As you can see in the data, there were scenarios where the spread was 80% of the overall size of the trade(the size of the confirmation candle that you draw your fibonacci retracements over), which would obviously cut heavily into your profits.
Removing any trades where the spread is more than 50% of the trade width improved profits slightly without removing many trades, but this is almost certainly just coincidence on a small sample size. Going below 40% and even down to 30% starts to cut out a lot of trades for the less-common pairs, but doesn't actually change overall profits at all(~1% either way).
However, digging all the way down to 25% starts to really make some movement. Profit at the -161.8% TP level jumps up to 37.94% if you filter out anything with a spread that is more than 25% of the trade width! And this even keeps the sample size fairly large at 187 total trades.
You can get your profits all the way up to 48.43% at the -161.8% TP level if you filter all the way down to only trades where spread is less than 15% of the trade width, however your sample size gets much smaller at that point(108 trades) so I'm not sure I would trust that as being accurate in the long term.
Overall based on this data, I'm going to only take trades where the spread is less than 25% of the trade width. This may bias my trades more towards the majors, which would mean a lot more correlated trades as well(more on correlation below), but I think it is a reasonable precaution regardless.

Time of Day

Time of day had an interesting effect on trades. In a totally predictable fashion, a vast majority of setups occurred during the London and New York sessions: 5am-12pm Eastern. However, there was one outlier where there were many setups on the 11PM bar - and the winrate was about the same as the big hours in the London session. No idea why this hour in particular - anyone have any insight? That's smack in the middle of the Tokyo/Sydney overlap, not at the open or close of either.
On many of the hour slices I have a feeling I'm just dealing with small number statistics here since I didn't have a lot of data when breaking it down by individual hours. But here it is anyway - for all TP levels, these three things showed up(all in Eastern time):
I don't have any reason to think these timeframes would maintain this behavior over the long term. They're almost certainly meaningless. EDIT: When you de-dup highly correlated trades, the number of trades in these timeframes really drops, so from this data there is no reason to think these timeframes would be any different than any others in terms of winrate.
That being said, these time frames work out for me pretty well because I typically sleep 12am-7am Eastern time. So I automatically avoid the 5am-6am timeframe, and I'm awake for the majority of this system's setups.

Moving stops up to breakeven

This section goes against everything I know and have ever heard about trade management. Please someone find something wrong with my data. I'd love for someone to check my formulas, but I realize that's a pretty insane time commitment to ask of a bunch of strangers.
Anyways. What I found was that for these trades moving stops up...basically at all...actually reduced the overall profitability.
One of the data points I collected while charting was where the price retraced back to after hitting a certain milestone. i.e. once the price hit the -61.8% profit level, how far back did it retrace before hitting the -100% profit level(if at all)? And same goes for the -100% profit level - how far back did it retrace before hitting the -161.8% profit level(if at all)?
Well, some complex excel formulas later and here's what the results appear to be. Emphasis on appears because I honestly don't believe it. I must have done something wrong here, but I've gone over it a hundred times and I can't find anything out of place.
Now, you might think exactly what I did when looking at these numbers: oof, the spread killed us there right? Because even when you move your SL to 0%, you still end up paying the spread, so it's not truly "breakeven". And because we are trading on a lower timeframe, the spread can be pretty hefty right?
Well even when I manually modified the data so that the spread wasn't subtracted(i.e. "Breakeven" was truly +/- 0), things don't look a whole lot better, and still way worse than the passive trade management method of leaving your stops in place and letting it run. And that isn't even a realistic scenario because to adjust out the spread you'd have to move your stoploss inside the candle edge by at least the spread amount, meaning it would almost certainly be triggered more often than in the data I collected(which was purely based on the fib levels and mark price). Regardless, here are the numbers for that scenario:
From a literal standpoint, what I see behind this behavior is that 44 of the 69 breakeven trades(65%!) ended up being profitable to -100% after retracing deeply(but not to the original SL level), which greatly helped offset the purely losing trades better than the partial profit taken at -61.8%. And 36 went all the way back to -161.8% after a deep retracement without hitting the original SL. Anyone have any insight into this? Is this a problem with just not enough data? It seems like enough trades that a pattern should emerge, but again I'm no expert.
I also briefly looked at moving stops to other lower levels (78.6%, 61.8%, 50%, 38.2%, 23.6%), but that didn't improve things any. No hard data to share as I only took a quick look - and I still might have done something wrong overall.
The data is there to infer other strategies if anyone would like to dig in deep(more explanation on the spreadsheet below). I didn't do other combinations because the formulas got pretty complicated and I had already answered all the questions I was looking to answer.

2-Candle vs Confirmation Candle Stops

Another interesting point is that the original system has the SL level(for stop entries) just at the outer edge of the 2-candle pattern that makes up the system. Out of pure laziness, I set up my stops just based on the confirmation candle. And as it turns out, that is much a much better way to go about it.
Of the 60 purely losing trades, only 9 of them(15%) would go on to be winners with stops on the 2-candle formation. Certainly not enough to justify the extra loss and/or reduced profits you are exposing yourself to in every single other trade by setting a wider SL.
Oddly, in every single scenario where the wider stop did save the trade, it ended up going all the way to the -161.8% profit level. Still, not nearly worth it.

Correlated Trades

As I've said many times now, I'm really not qualified to be doing an analysis like this. This section in particular.
Looking at shared currency among the pairs traded, 74 of the trades are correlated. Quite a large group, but it makes sense considering the sort of moves we're looking for with this system.
This means you are opening yourself up to more risk if you were to trade on every signal since you are technically trading with the same underlying sentiment on each different pair. For example, GBP/USD and AUD/USD moving together almost certainly means it's due to USD moving both pairs, rather than GBP and AUD both moving the same size and direction coincidentally at the same time. So if you were to trade both signals, you would very likely win or lose both trades - meaning you are actually risking double what you'd normally risk(unless you halve both positions which can be a good option, and is discussed in ParallaxFX's posts and in various other places that go over pair correlation. I won't go into detail about those strategies here).
Interestingly though, 17 of those apparently correlated trades ended up with different wins/losses.
Also, looking only at trades that were correlated, winrate is 83%/70%/55% (for the three TP levels).
Does this give some indication that the same signal on multiple pairs means the signal is stronger? That there's some strong underlying sentiment driving it? Or is it just a matter of too small a sample size? The winrate isn't really much higher than the overall winrates, so that makes me doubt it is statistically significant.
One more funny tidbit: EUCAD netted the lowest overall winrate: 30% to even the -61.8% TP level on 10 trades. Seems like that is just a coincidence and not enough data, but dang that's a sucky losing streak.
EDIT: WOW I spent some time removing correlated trades manually and it changed the results quite a bit. Some thoughts on this below the results. These numbers also include the other "What I will trade" filters. I added a new worksheet to my data to show what I ended up picking.
To do this, I removed correlated trades - typically by choosing those whose spread had a lower % of the trade width since that's objective and something I can see ahead of time. Obviously I'd like to only keep the winning trades, but I won't know that during the trade. This did reduce the overall sample size down to a level that I wouldn't otherwise consider to be big enough, but since the results are generally consistent with the overall dataset, I'm not going to worry about it too much.
I may also use more discretionary methods(support/resistance, quality of indecision/confirmation candles, news/sentiment for the pairs involved, etc) to filter out correlated trades in the future. But as I've said before I'm going for a pretty mechanical system.
This brought the 3 TP levels and even the breakeven strategies much closer together in overall profit. It muted the profit from the high R:R strategies and boosted the profit from the low R:R strategies. This tells me pair correlation was skewing my data quite a bit, so I'm glad I dug in a little deeper. Fortunately my original conclusion to use the -161.8 TP level with static stops is still the winner by a good bit, so it doesn't end up changing my actions.
There were a few times where MANY (6-8) correlated pairs all came up at the same time, so it'd be a crapshoot to an extent. And the data showed this - often then won/lost together, but sometimes they did not. As an arbitrary rule, the more correlations, the more trades I did end up taking(and thus risking). For example if there were 3-5 correlations, I might take the 2 "best" trades given my criteria above. 5+ setups and I might take the best 3 trades, even if the pairs are somewhat correlated.
I have no true data to back this up, but to illustrate using one example: if AUD/JPY, AUD/USD, CAD/JPY, USD/CAD all set up at the same time (as they did, along with a few other pairs on 6/19/20 9:00 AM), can you really say that those are all the same underlying movement? There are correlations between the different correlations, and trying to filter for that seems rough. Although maybe this is a known thing, I'm still pretty green to Forex - someone please enlighten me if so! I might have to look into this more statistically, but it would be pretty complex to analyze quantitatively, so for now I'm going with my gut and just taking a few of the "best" trades out of the handful.
Overall, I'm really glad I went further on this. The boosting of the B/E strategies makes me trust my calculations on those more since they aren't so far from the passive management like they were with the raw data, and that really had me wondering what I did wrong.

What I will trade

Putting all this together, I am going to attempt to trade the following(demo for a bit to make sure I have the hang of it, then for keeps):
Looking at the data for these rules, test results are:
I'll be sure to let everyone know how it goes!

Other Technical Details

Raw Data

Here's the spreadsheet for anyone that'd like it. (EDIT: Updated some of the setups from the last few days that have fully played out now. I also noticed a few typos, but nothing major that would change the overall outcomes. Regardless, I am currently reviewing every trade to ensure they are accurate.UPDATE: Finally all done. Very few corrections, no change to results.)
I have some explanatory notes below to help everyone else understand the spiraled labyrinth of a mind that put the spreadsheet together.

Insanely detailed spreadsheet notes

For you real nerds out there. Here's an explanation of what each column means:

Pairs

  1. AUD/CAD
  2. AUD/CHF
  3. AUD/JPY
  4. AUD/NZD
  5. AUD/USD
  6. CAD/CHF
  7. CAD/JPY
  8. CHF/JPY
  9. EUAUD
  10. EUCAD
  11. EUCHF
  12. EUGBP
  13. EUJPY
  14. EUNZD
  15. EUUSD
  16. GBP/AUD
  17. GBP/CAD
  18. GBP/CHF
  19. GBP/JPY
  20. GBP/NZD
  21. GBP/USD
  22. NZD/CAD
  23. NZD/CHF
  24. NZD/JPY
  25. NZD/USD
  26. USD/CAD
  27. USD/CHF
  28. USD/JPY

TL;DR

Based on the reasonable rules I discovered in this backtest:

Demo Trading Results

Since this post, I started demo trading this system assuming a 5k capital base and risking ~1% per trade. I've added the details to my spreadsheet for anyone interested. The results are pretty similar to the backtest when you consider real-life conditions/timing are a bit different. I missed some trades due to life(work, out of the house, etc), so that brought my total # of trades and thus overall profit down, but the winrate is nearly identical. I also closed a few trades early due to various reasons(not liking the price action, seeing support/resistance emerge, etc).
A quick note is that TD's paper trade system fills at the mid price for both stop and limit orders, so I had to subtract the spread from the raw trade values to get the true profit/loss amount for each trade.
I'm heading out of town next week, then after that it'll be time to take this sucker live!

Live Trading Results

I started live-trading this system on 8/10, and almost immediately had a string of losses much longer than either my backtest or demo period. Murphy's law huh? Anyways, that has me spooked so I'm doing a longer backtest before I start risking more real money. It's going to take me a little while due to the volume of trades, but I'll likely make a new post once I feel comfortable with that and start live trading again.
submitted by ForexBorex to Forex [link] [comments]

PRE WEEK FORECAST - MULTIPLE TIME FRAME SYSTEM | DAY TRADING IN FOREX SUPPORT AND RESISTANCE #TWE

PRE Week FOREX Analysis Secrets: Powerful Strategies to Profit in Bull & Bear Markets #TeamwithERVING
📈 LIVE VIDEO: https://youtu.be/9m-M6Suhkzo
👇🏼 SUBSCRIBE IS FREE: https://bit.ly/3lStnDr
#TEAMWITHERVING #XAUUSD #forextrading #forexanalysis #tradeforex #godfirst #forex #multipletimeframesystem
#forextrader #tradingview #EURUSD #TradingMultipleTimeframes #besttimeframestotrade #trading #daytrading #tradingeducation
#tradeforex #HOWTOTRADEFOREX #FOREX #tradingforex #trading #forexlifestyle #MultipleTimeFrameSystem #tradingsignals
#daytrading #tradingeducation
submitted by ERVINGOLIVAS to u/ERVINGOLIVAS [link] [comments]

WEEKLY FOREX FORECAST- MULTIPLE TIME FRAME SYSTEM | DAY TRADING IN FOREX SUPPORT AND RESISTANCE #TWE

FULL Week FOREX Analysis Secrets: Powerful Strategies to Profit in Bull & Bear Markets #TeamwithERVING
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📈 LIVE VIDEO: https://youtu.be/SiHlxEOUOi8
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👇🏼 SUBSCRIBE IS FREE: https://bit.ly/3lStnDr
​
#TEAMWITHERVING #XAUUSD #forextrading #forexanalysis #tradeforex #godfirst #forex #multipletimeframesystem
#forextrader #tradingview #EURUSD #TradingMultipleTimeframes #besttimeframestotrade #trading #daytrading #tradingeducation
#tradeforex #HOWTOTRADEFOREX #FOREX #tradingforex #trading #forexlifestyle #MultipleTimeFrameSystem #tradingsignals
#daytrading #tradingeducatio
submitted by ERVINGOLIVAS to u/ERVINGOLIVAS [link] [comments]

Hibiscus Petroleum Berhad (5199.KL)

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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/
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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.
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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.
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North Sabah oil field
https://preview.redd.it/62nssexj8br41.png?width=1003&format=png&auto=webp&s=cd78f86d51165fb9a93015e49496f7f98dad64dd
Hibiscus owns a 50% interest in the North Sabah field together with its partner Petronas, and has production rights over the field up to year 2040. The asset contains 4 oil fields, namely the St Joseph field, South Furious field, SF 30 field and Barton field.
For the sake of brevity, we shall not delve deep into the operational aspects of the fields or the contractual nature of its production sharing contract (PSC). We’ll just focus on the factors which relate to its financial performance. These are:
· Average uptime
· Total oil sold
· Average realized oil price
· Average OPEX per bbl
With regards to average uptime, we can see that the company maintains relative high facility availability, exceeding 90% uptime in all quarters of the LTM with exception of Jul-Sep 2019. The dip in average uptime was due to production enhancement projects and maintenance activities undertaken to improve the production capacity of the St Joseph and SF30 oil fields.
Hence, we can conclude that management has a good handle on operational performance. It also implies that there is little room for further improvement in production resulting from increased uptime.
As North Sabah is under a production sharing contract (PSC), there is a distinction between gross oil production and net oil production. The former relates to total oil drawn out of the ground, whereas the latter refers to Hibiscus’s share of oil production after taxes, royalties and expenses are accounted for. In this case, we want to pay attention to net oil production, not gross.
We can arrive at Hibiscus’s total oil sold for the last twelve months (LTM) by adding up the total oil sold for each of the last 4 quarters. Summing up the figures yields total oil sold for the LTM of approximately 2,075,305 bbl.
Then, we can arrive at an average realized oil price over the LTM by averaging the average realized oil price for the last 4 quarters, giving us an average realized oil price over the LTM of USD 68.57/bbl. We can do the same for average OPEX per bbl, giving us an average OPEX per bbl over the LTM of USD 13.23/bbl.
Thus, we can sum up the above financial performance of the North Sabah field with the following figures:
· Total oil sold: 2,075,305 bbl
· Average realized oil price: USD 68.57/bbl
· Average OPEX per bbl: USD 13.23/bbl
​
Anasuria oil field
https://preview.redd.it/586u4kfo8br41.png?width=1038&format=png&auto=webp&s=7580fc7f7df7e948754d025745a5cf47d4393c0f
Doing the same exercise as above for the Anasuria field, we arrive at the following financial performance for the Anasuria field:
· Total oil sold: 1,073,304 bbl
· Average realized oil price: USD 63.57/bbl
· Average OPEX per bbl: USD 23.22/bbl
As gas production is relatively immaterial, and to be conservative, we shall only consider the crude oil production from the Anasuria field in forecasting revenues.
​

Valuation (Method 1)

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

Valuation (Method 2)

Of course, there are a lot of assumptions behind the above method of valuation. Hence, it would be prudent to perform multiple methods of valuation and compare the figures to one another.
As opposed to the profit/loss assessment in Valuation (Method 1), another way of performing a valuation would be to estimate its balance sheet value, i.e. total revenues from 2P Reserves, and assign a reasonable margin to it.
https://preview.redd.it/o2eiss6u8br41.png?width=710&format=png&auto=webp&s=03960cce698d9cedb076f3d5f571b3c59d908fa8
From the above, we understand that Hibiscus’s 2P reserves from the North Sabah and Anasuria fields alone are approximately 44.2 mmbbl (we ignore contribution from Australia’s VIC cluster as it hasn’t been developed yet).
Doing a similar sensitivity analysis of different oil prices as above, we arrive at the following estimated total revenues and accumulated net profit:
https://preview.redd.it/h8hubrmw8br41.png?width=450&format=png&auto=webp&s=6d23f0f9c3dafda89e758b815072ba335467f33e
Let’s assume that the above average of RM 9.68 billion in total realizable revenues from current 2P reserves holds true. If we assign a conservative Net Profit margin of 15% (FY20: 23%; past 5 years average: 16%), we arrive at estimated accumulated Net Profit from 2P Reserves of RM 1.452 billion. Given the current market capitalization of RM 714 million, we might be able to say that the equity is worth about twice the current share price.
However, it is understandable that some readers might feel that the figures used in the above estimate (e.g. net profit margin of 15%) were randomly plucked from the sky. So how do we reconcile them with figures from the financial statements? Fortunately, there appears to be a way to do just that.
Intangible Assets
I refer you to a figure in the financial statements which provides a shortcut to the valuation of 2P Reserves. This is the carrying value of Intangible Assets on the Balance Sheet.
As of 2QFY21, that amount was RM 1,468,860,000 (i.e. RM 1.468 billion).
https://preview.redd.it/hse8ttb09br41.png?width=881&format=png&auto=webp&s=82e48b5961c905fe9273cb6346368de60202ebec
Quite coincidentally, one might observe that this figure is dangerously close to the estimated accumulated Net Profit from 2P Reserves of RM 1.452 billion we calculated earlier. But why would this amount matter at all?
To answer that, I refer you to the notes of the Annual Report FY20 (AR20). On page 148 of the AR20, we find the following two paragraphs:
E&E assets comprise of rights and concession and conventional studies. Following the acquisition of a concession right to explore a licensed area, the costs incurred such as geological and geophysical surveys, drilling, commercial appraisal costs and other directly attributable costs of exploration and appraisal including technical and administrative costs, are capitalised as conventional studies, presented as intangible assets.
E&E assets are assessed for impairment when facts and circumstances suggest that the carrying amount of an E&E asset may exceed its recoverable amount. The Group will allocate E&E assets to cash generating unit (“CGU”s or groups of CGUs for the purpose of assessing such assets for impairment. Each CGU or group of units to which an E&E asset is allocated will not be larger than an operating segment as disclosed in Note 39 to the financial statements.)
Hence, we can determine that firstly, the intangible asset value represents capitalized costs of acquisition of the oil fields, including technical exploration costs and costs of acquiring the relevant licenses. Secondly, an impairment review will be carried out when “the carrying amount of an E&E asset may exceed its recoverable amount”, with E&E assets being allocated to “cash generating units” (CGU) for the purposes of assessment.
On page 169 of the AR20, we find the following:
Carrying amounts of the Group’s intangible assets, oil and gas assets and FPSO are reviewed for possible impairment annually including any indicators of impairment. For the purpose of assessing impairment, assets are grouped at the lowest level CGUs for which there is a separately identifiable cash flow available. These CGUs are based on operating areas, represented by the 2011 North Sabah EOR PSC (“North Sabah”, the Anasuria Cluster, the Marigold and Sunflower fields, the VIC/P57 exploration permit (“VIC/P57”) and the VIC/L31 production license (“VIC/L31”).)
So apparently, the CGUs that have been assigned refer to the respective oil producing fields, two of which include the North Sabah field and the Anasuria field. In order to perform the impairment review, estimates of future cash flow will be made by management to assess the “recoverable amount” (as described above), subject to assumptions and an appropriate discount rate.
Hence, what we can gather up to now is that management will estimate future recoverable cash flows from a CGU (i.e. the North Sabah and Anasuria oil fields), compare that to their carrying value, and perform an impairment if their future recoverable cash flows are less than their carrying value. In other words, if estimated accumulated profits from the North Sabah and Anasuria oil fields are less than their carrying value, an impairment is required.
So where do we find the carrying values for the North Sabah and Anasuria oil fields? Further down on page 184 in the AR20, we see the following:
Included in rights and concession are the carrying amounts of producing field licenses in the Anasuria Cluster amounting to RM668,211,518 (2018: RM687,664,530, producing field licenses in North Sabah amounting to RM471,031,008 (2018: RM414,333,116))
Hence, we can determine that the carrying values for the North Sabah and Anasuria oil fields are RM 471m and RM 668m respectively. But where do we find the future recoverable cash flows of the fields as estimated by management, and what are the assumptions used in that calculation?
Fortunately, we find just that on page 185:
17 INTANGIBLE ASSETS (CONTINUED)
(a Anasuria Cluster)
The Directors have concluded that there is no impairment indicator for Anasuria Cluster during the current financial year. In the previous financial year, due to uncertainties in crude oil prices, the Group has assessed the recoverable amount of the intangible assets, oil and gas assets and FPSO relating to the Anasuria Cluster. The recoverable amount is determined using the FVLCTS model based on discounted cash flows (“DCF” derived from the expected cash in/outflow pattern over the production lives.)
The key assumptions used to determine the recoverable amount for the Anasuria Cluster were as follows:
(i Discount rate of 10%;)
(ii Future cost inflation factor of 2% per annum;)
(iii Oil price forecast based on the oil price forward curve from independent parties; and,)
(iv Oil production profile based on the assessment by independent oil and gas reserve experts.)
Based on the assessments performed, the Directors concluded that the recoverable amount calculated based on the valuation model is higher than the carrying amount.
(b North Sabah)
The acquisition of the North Sabah assets was completed in the previous financial year. Details of the acquisition are as disclosed in Note 15 to the financial statements.
The Directors have concluded that there is no impairment indicator for North Sabah during the current financial year.
Here, we can see that the recoverable amount of the Anasuria field was estimated based on a DCF of expected future cash flows over the production life of the asset. The key assumptions used by management all seem appropriate, including a discount rate of 10% and oil price and oil production estimates based on independent assessment. From there, management concludes that the recoverable amount of the Anasuria field is higher than its carrying amount (i.e. no impairment required). Likewise, for the North Sabah field.
How do we interpret this? Basically, what management is saying is that given a 10% discount rate and independent oil price and oil production estimates, the accumulated profits (i.e. recoverable amount) from both the North Sabah and the Anasuria fields exceed their carrying amounts of RM 471m and RM 668m respectively.
In other words, according to management’s own estimates, the carrying value of the Intangible Assets of RM 1.468 billion approximates the accumulated Net Profit recoverable from 2P reserves.
To conclude Valuation (Method 2), we arrive at the following:
​
Our estimates Management estimates
Accumulated Net Profit from 2P Reserves RM 1.452 billion RM 1.468 billion
​

Financials

By now, we have established the basic economics of Hibiscus’s business, including its revenues (i.e. oil production and oil price scenarios), costs (OPEX, ITDA), profitability (breakeven, future earnings potential) and balance sheet value (2P reserves, valuation). Moving on, we want to gain a deeper understanding of the 3 statements to anticipate any blind spots and risks. We’ll refer to the financial statements of both the FY20 annual report and the 2Q21 quarterly report in this analysis.
For the sake of brevity, I’ll only point out those line items which need extra attention, and skip over the rest. Feel free to go through the financial statements on your own to gain a better familiarity of the business.
https://preview.redd.it/h689bss79br41.png?width=810&format=png&auto=webp&s=ed47fce6a5c3815dd3d4f819e31f1ce39ccf4a0b
Income Statement
First, we’ll start with the Income Statement on page 135 of the AR20. Revenues are straightforward, as we’ve discussed above. Cost of Sales and Administrative Expenses fall under the jurisdiction of OPEX, which we’ve also seen earlier. Other Expenses are mostly made up of Depreciation & Amortization of RM 115m.
Finance Costs are where things start to get tricky. Why does a company which carries no debt have such huge amounts of finance costs? The reason can be found in Note 8, where it is revealed that the bulk of finance costs relate to the unwinding of discount of provision for decommissioning costs of RM 25m (Note 32).
https://preview.redd.it/4omjptbe9br41.png?width=1019&format=png&auto=webp&s=eaabfc824134063100afa62edfd36a34a680fb60
This actually refers to the expected future costs of restoring the Anasuria and North Sabah fields to their original condition once the oil reserves have been depleted. Accounting standards require the company to provide for these decommissioning costs as they are estimable and probable. The way the decommissioning costs are accounted for is the same as an amortized loan, where the initial carrying value is recognized as a liability and the discount rate applied is reversed each year as an expense on the Income Statement. However, these expenses are largely non-cash in nature and do not necessitate a cash outflow every year (FY20: RM 69m).
Unwinding of discount on non-current other payables of RM 12m relate to contractual payments to the North Sabah sellers. We will discuss it later.
Taxation is another tricky subject, and is even more significant than Finance Costs at RM 161m. In gist, Hibiscus is subject to the 38% PITA (Petroleum Income Tax Act) under Malaysian jurisdiction, and the 30% Petroleum tax + 10% Supplementary tax under UK jurisdiction. Of the RM 161m, RM 41m of it relates to deferred tax which originates from the difference between tax treatment and accounting treatment on capitalized assets (accelerated depreciation vs straight-line depreciation). Nonetheless, what you should take away from this is that the tax expense is a tangible expense and material to breakeven analysis.
Fortunately, tax is a variable expense, and should not materially impact the cash flow of Hibiscus in today’s low oil price environment.
Note: Cash outflows for Tax Paid in FY20 was RM 97m, substantially below the RM 161m tax expense.
https://preview.redd.it/1xrnwzm89br41.png?width=732&format=png&auto=webp&s=c078bc3e18d9c79d9a6fbe1187803612753f69d8
Balance Sheet
The balance sheet of Hibiscus is unexciting; I’ll just bring your attention to those line items which need additional scrutiny. I’ll use the figures in the latest 2Q21 quarterly report (2Q21) and refer to the notes in AR20 for clarity.
We’ve already discussed Intangible Assets in the section above, so I won’t dwell on it again.
Moving on, the company has Equipment of RM 582m, largely relating to O&G assets (e.g. the Anasuria FPSO vessel and CAPEX incurred on production enhancement projects). Restricted cash and bank balances represent contractual obligations for decommissioning costs of the Anasuria Cluster, and are inaccessible for use in operations.
Inventories are relatively low, despite Hibiscus being an E&P company, so forex fluctuations on carrying value of inventories are relatively immaterial. Trade receivables largely relate to entitlements from Petronas and BP (both oil supermajors), and are hence quite safe from impairment. Other receivables, deposits and prepayments are significant as they relate to security deposits placed with sellers of the oil fields acquired; these should be ignored for cash flow purposes.
Note: Total cash and bank balances do not include approximately RM 105 m proceeds from the North Sabah December 2019 offtake (which was received in January 2020)
Cash and bank balances of RM 90m do not include RM 105m of proceeds from offtake received in 3Q21 (Jan 2020). Hence, the actual cash and bank balances as of 2Q21 approximate RM 200m.
Liabilities are a little more interesting. First, I’ll draw your attention to the significant Deferred tax liabilities of RM 457m. These largely relate to the amortization of CAPEX (i.e. Equipment and capitalized E&E expenses), which is given an accelerated depreciation treatment for tax purposes.
The way this works is that the government gives Hibiscus a favorable tax treatment on capital expenditures incurred via an accelerated depreciation schedule, so that the taxable income is less than usual. However, this leads to the taxable depreciation being utilized quicker than accounting depreciation, hence the tax payable merely deferred to a later period – when the tax depreciation runs out but accounting depreciation remains. Given the capital intensive nature of the business, it is understandable why Deferred tax liabilities are so large.
We’ve discussed Provision for decommissioning costs under the Finance Costs section earlier. They are also quite significant at RM 266m.
Notably, the Other Payables and Accruals are a hefty RM 431m. What do they relate to? Basically, they are contractual obligations to the sellers of the oil fields which are only payable upon oil prices reaching certain thresholds. Hence, while they are current in nature, they will only become payable when oil prices recover to previous highs, and are hence not an immediate cash outflow concern given today’s low oil prices.
Cash Flow Statement
There is nothing in the cash flow statement which warrants concern.
Notably, the company generated OCF of approximately RM 500m in FY20 and RM 116m in 2Q21. It further incurred RM 330m and RM 234m of CAPEX in FY20 and 2Q21 respectively, largely owing to production enhancement projects to increase the production rate of the Anasuria and North Sabah fields, which according to management estimates are accretive to ROI.
Tax paid was RM 97m in FY20 and RM 61m in 2Q21 (tax expense: RM 161m and RM 62m respectively).
​

Risks

There are a few obvious and not-so-obvious risks that one should be aware of before investing in Hibiscus. We shall not consider operational risks (e.g. uptime, OPEX) as they are outside the jurisdiction of the equity analyst. Instead, we shall focus on the financial and strategic risks largely outside the control of management. The main ones are:
· Oil prices remaining subdued for long periods of time
· Fluctuation of exchange rates
· Customer concentration risk
· 2P Reserves being less than estimated
· Significant current and non-current liabilities
· Potential issuance of equity
Oil prices remaining subdued
Of topmost concern in the minds of most analysts is whether Hibiscus has the wherewithal to sustain itself through this period of low oil prices (sub-$30). A quick and dirty estimate of annual cash outflow (i.e. burn rate) assuming a $20 oil world and historical production rates is between RM 50m-70m per year, which considering the RM 200m cash balance implies about 3-4 years of sustainability before the company runs out of cash and has to rely on external assistance for financing.
Table 1: Hibiscus EBITDA at different oil price and exchange rates
https://preview.redd.it/gxnekd6h9br41.png?width=670&format=png&auto=webp&s=edbfb9621a43480d11e3b49de79f61a6337b3d51
The above table shows different EBITDA scenarios (RM ‘m) given different oil prices (left column) and USD:MYR exchange rates (top row). Currently, oil prices are $27 and USD:MYR is 1:4.36.
Given conservative assumptions of average OPEX/bbl of $20 (current: $15), we can safely say that the company will be loss-making as long as oil remains at $20 or below (red). However, we can see that once oil prices hit $25, the company can tank the lower-end estimate of the annual burn rate of RM 50m (orange), while at RM $27 it can sufficiently muddle through the higher-end estimate of the annual burn rate of RM 70m (green).
Hence, we can assume that as long as the average oil price over the next 3-4 years remains above $25, Hibiscus should come out of this fine without the need for any external financing.
Customer Concentration Risk
With regards to customer concentration risk, there is not much the analyst or investor can do except to accept the risk. Fortunately, 80% of revenues can be attributed to two oil supermajors (Petronas and BP), hence the risk of default on contractual obligations and trade receivables seems to be quite diminished.
2P Reserves being less than estimated
2P Reserves being less than estimated is another risk that one should keep in mind. Fortunately, the current market cap is merely RM 714m – at half of estimated recoverable amounts of RM 1.468 billion – so there’s a decent margin of safety. In addition, there are other mitigating factors which shall be discussed in the next section (‘Opportunities’).
Significant non-current and current liabilities
The significant non-current and current liabilities have been addressed in the previous section. It has been determined that they pose no threat to immediate cash flow due to them being long-term in nature (e.g. decommissioning costs, deferred tax, etc). Hence, for the purpose of assessing going concern, their amounts should not be a cause for concern.
Potential issuance of equity
Finally, we come to the possibility of external financing being required in this low oil price environment. While the company should last 3-4 years on existing cash reserves, there is always the risk of other black swan events materializing (e.g. coronavirus) or simply oil prices remaining muted for longer than 4 years.
Furthermore, management has hinted that they wish to acquire new oil assets at presently depressed prices to increase daily production rate to a targeted 20,000 bbl by end-2021. They have room to acquire debt, but they may also wish to issue equity for this purpose. Hence, the possibility of dilution to existing shareholders cannot be entirely ruled out.
However, given management’s historical track record of prioritizing ROI and optimal capital allocation, and in consideration of the fact that the MD owns 10% of outstanding shares, there is some assurance that any potential acquisitions will be accretive to EPS and therefore valuations.
​

Opportunities

As with the existence of risk, the presence of material opportunities also looms over the company. Some of them are discussed below:
· Increased Daily Oil Production Rate
· Inclusion of 2C Resources
· Future oil prices exceeding $50 and effects from coronavirus dissipating
Increased Daily Oil Production Rate
The first and most obvious opportunity is the potential for increased production rate. We’ve seen in the last quarter (2Q21) that the North Sabah field increased its daily production rate by approximately 20% as a result of production enhancement projects (infill drilling), lowering OPEX/bbl as a result. To vastly oversimplify, infill drilling is the process of maximizing well density by drilling in the spaces between existing wells to improve oil production.
The same improvements are being undertaken at the Anasuria field via infill drilling, subsea debottlenecking, water injection and sidetracking of existing wells. Without boring you with industry jargon, this basically means future production rate is likely to improve going forward.
By how much can the oil production rate be improved by? Management estimates in their analyst presentation that enhancements in the Anasuria field will be able to yield 5,000 bbl/day by 2021 (current: 2,500 bbl/day).
Similarly, improvements in the North Sabah field is expected to yield 7,000 bbl/day by 2021 (current: 5,300 bbl/day).
This implies a total 2021 expected daily production rate from the two fields alone of 12,000 bbl/day (current: 8,000 bbl/day). That’s a 50% increase in yields which we haven’t factored into our valuation yet.
Furthermore, we haven’t considered any production from existing 2C resources (e.g. Marigold/Sunflower) or any potential acquisitions which may occur in the future. By management estimates, this can potentially increase production by another 8,000 bbl/day, bringing total production to 20,000 bbl/day.
While this seems like a stretch of the imagination, it pays to keep them in mind when forecasting future revenues and valuations.
Just to play around with the numbers, I’ve come up with a sensitivity analysis of possible annual EBITDA at different oil prices and daily oil production rates:
Table 2: Hibiscus EBITDA at different oil price and daily oil production rates
https://preview.redd.it/jnpfhr5n9br41.png?width=814&format=png&auto=webp&s=bbe4b512bc17f576d87529651140cc74cde3d159
The left column represents different oil prices while the top row represents different daily oil production rates.
The green column represents EBITDA at current daily production rate of 8,000 bbl/day; the orange column represents EBITDA at targeted daily production rate of 12,000 bbl/day; while the purple column represents EBITDA at maximum daily production rate of 20,000 bbl/day.
Even conservatively assuming increased estimated annual ITDA of RM 500m (FY20: RM 318m), and long-term average oil prices of $50 (FY20: $60), the estimated Net Profit and P/E ratio is potentially lucrative at daily oil production rates of 12,000 bbl/day and above.
2C Resources
Since we’re on the topic of improved daily oil production rate, it bears to pay in mind the relatively enormous potential from Hibiscus’s 2C Resources. North Sabah’s 2C Resources alone exceed 30 mmbbl; while those from the yet undiagnosed Marigold/Sunflower fields also reach 30 mmbbl. Altogether, 2C Resources exceed 70 mmbbl, which dwarfs the 44 mmbbl of 2P Reserves we have considered up to this point in our valuation estimates.
To refresh your memory, 2C Resources represents oil volumes which have been discovered but are not yet classified as “commercial”. This means that there is reasonable certainty of the oil being recoverable, as opposed to simply being in the very early stages of exploration. So, to be conservative, we will imagine that only 50% of 2C Resources are eligible for reclassification to 2P reserves, i.e. 35 mmbbl of oil.
https://preview.redd.it/mto11iz7abr41.png?width=375&format=png&auto=webp&s=e9028ab0816b3d3e25067447f2c70acd3ebfc41a
This additional 35 mmbbl of oil represents an 80% increase to existing 2P reserves. Assuming the daily oil production rate increases similarly by 80%, we will arrive at 14,400 bbl/day of oil production. According to Table 2 above, this would yield an EBITDA of roughly RM 630m assuming $50 oil.
Comparing that estimated EBITDA to FY20’s actual EBITDA:
FY20 FY21 (incl. 2C) Difference
Daily oil production (bbl/day) 8,626 14,400 +66%
Average oil price (USD/bbl) $68.57 $50 -27%
Average OPEX/bbl (USD) $16.64 $20 +20%
EBITDA (RM ‘m) 632 630 -
Hence, even conservatively assuming lower oil prices and higher OPEX/bbl (which should decrease in the presence of higher oil volumes) than last year, we get approximately the same EBITDA as FY20.
For the sake of completeness, let’s assume that Hibiscus issues twice the no. of existing shares over the next 10 years, effectively diluting shareholders by 50%. Even without accounting for the possibility of the acquisition of new oil fields, at the current market capitalization of RM 714m, the prospective P/E would be about 10x. Not too shabby.
Future oil prices exceeding $50 and effects from coronavirus dissipating
Hibiscus shares have recently been hit by a one-two punch from oil prices cratering from $60 to $30, as a result of both the Saudi-Russian dispute and depressed demand for oil due to coronavirus. This has massively increased supply and at the same time hugely depressed demand for oil (due to the globally coordinated lockdowns being implemented).
Given a long enough timeframe, I fully expect OPEC+ to come to an agreement and the economic effects from the coronavirus to dissipate, allowing oil prices to rebound. As we equity investors are aware, oil prices are cyclical and are bound to recover over the next 10 years.
When it does, valuations of O&G stocks (including Hibiscus’s) are likely to improve as investors overshoot expectations and begin to forecast higher oil prices into perpetuity, as they always tend to do in good times. When that time arrives, Hibiscus’s valuations are likely to become overoptimistic as all O&G stocks tend to do during oil upcycles, resulting in valuations far exceeding reasonable estimates of future earnings. If you can hold the shares up until then, it’s likely you will make much more on your investment than what we’ve been estimating.

Conclusion

Wrapping up what we’ve discussed so far, we can conclude that Hibiscus’s market capitalization of RM 714m far undershoots reasonable estimates of fair value even under conservative assumptions of recoverable oil volumes and long-term average oil prices. As a value investor, I hesitate to assign a target share price, but it’s safe to say that this stock is worth at least RM 1.00 (current: RM 0.45). Risk is relatively contained and the upside far exceeds the downside. While I have no opinion on the short-term trajectory of oil prices, I can safely recommend this stock as a long-term Buy based on fundamental research.
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My First Year of Trading

So here it is, three more days and October begins, which marks one year of trading for me. I figured I would contribute to the forum and share some of my experience, a little about me, and what I've learned so far. Whoever wants to listen, that's great. This might get long so buckle up..
Three years ago, I was visiting Toronto. I don't get out much, but my roommate at the time travels there occasionally. He asked everyone at our place if we wanted to come along for a weekend. My roommate has an uncle that lives there and we didn't have to worry about a hotel because his uncle owns a small house that's unlived in which we could stay at. I was the only one to go with. Anyways, we walk around the city, seeing the sights and whatnot.
My friend says to me "where next?"
"I don't know, you're the tour guide"
"We can go check out Bay Street"
"what's 'Bay Street?'"
"It's like the Canadian Wall street! If you haven't seen it you gotta see it!"
Walking along Bay, I admire all the nice buildings and architecture, everything seems larger than life to me. I love things like that. The huge granite facades with intricate designs and towering pillars to make you think, How the fuck did they make that? My attention pivots to a man walking on the sidewalk opposite us. His gait stood out among everyone, he walked with such a purpose.. He laughed into the cell phone to his ear. In the elbow-shoving city environment, he moved with a stride that exuded a power which not only commanded respect, but assumed it. I bet HE can get a text back, hell he's probably got girls waiting on him. This dude was dressed to kill, a navy suit that you could just tell from across the street was way out of my budget, it was a nice fucking suit. I want that. His life, across the street, seemed a world a way from my own. I've worn a suit maybe twice in my life. For my first communion, it was too big for me, I was eleven or whatever so who gives a shit, right? I'm positive I looked ridiculous. The other time? I can't remember.
I want that. I want the suit. I want the wealth, the independence. I want the respect and power, and I don't give a shit what anyone thinks about it.
Cue self doubt.
Well, He's probably some rich banker's son. That's a world you're born into. I don't know shit about it. \sigh* keep walking..*
​
A year later, I'm visiting my parents at their house, they live an hour away from my place. My dad is back from Tennessee, his engineering job was laying people off and he got canned... Or he saw the end was near and just left... I don't know, hard to pay attention to the guy honestly because he kind of just drones on and on. ("Wait, so your mom lives in Michigan, but your dad moved to Tennessee... for a job?" Yea man, I don't fucking know, not going to touch on that one.) The whole project was a shit show that was doomed to never get done, the way he tells it. And he's obviously jaded from multiple similar experiences at other life-sucking engineer jobs. My mom is a retired nurse practitioner who no longer works because of her illness. I ask him what he's doing for work now and he tells me he trades stocks from home. I didn't even know you could do that. I didn't know "trading" was a thing. I thought you just invest and hope for the best.
"Oh that's cool, how much money do you need to do that?"
"Ehh, most say you need at least $25,000 as a minimum"
"Oh... guess I can't do that..."
Six months later, I get a call and it's my dad. We talk a little about whatever. Off topic, he starts asking if I'm happy doing what I'm doing (I was a painter, commercial and residential) I tell him yes but it's kind of a pain in the ass and I don't see it as a long term thing. Then he gets around to asking if I'd like to come work with him. He basically pitches it to me. I'm not one to be sold on something, I'm always skeptical. So I ask all the questions that any rational person would ask and he just swats them away with reassuring phrases. He was real confident about it. But basically he says for this to work, I have to quit my job and move back home so he can teach me how to trade and be by my side so I don't do anything stupid. "My Name , you can make so much money." I say that I can't raise the $25,000 because I'm not far above just living paycheck to paycheck. "I can help you out with that." Wow, okay, well... let me think about it.
My "maybe" very soon turned into a "definitely." So over the next six months, I continue to work my day job painting, and I try to save up what I could for the transition (it wasn't a whole lot, I sucked at saving. I was great at spending though!). My dad gives me a book on day trading (which I will mention later) and I teach myself what I can about the stock market using Investopedia. Also in the meantime, my dad sends me encouraging emails. He tells me to think of an annual income I would like to make as a trader, and used "more than $100,000 but less than a million" as a guideline. He tells me about stocks that he traded that day or just ones that moved and describes the basic price action and the prices to buy and sell at. Basically saying "if you bought X amount of shares here and sold it at X price here, you could make a quick 500 bucks!" I then use a trading sim to trade those symbols and try to emulate what he says. Piece of cake. ;)
Wow, that's way more than what I make in a day.
He tells me not to tell anyone about my trading because most people just think it's gambling. "Don't tell your Mom either." He says most people who try this fail because they don't know how to stop out and take a loss. He talks about how every day he was in a popular chatroom, some noob would say something like, "Hey guys, I bought at X price (high of day or thereabout), my account is down 80% .. uhh I'm waiting for it to come back to my entry price.. what do I do??"
Well shit, I'm not that fucking dumb. If that's all it takes to make it is to buy low, sell high, and always respect a stop then I'll be fantastic.
By the end of September, I was very determined. I had been looking forward everyday to quitting my painting job because while it used to be something I loved, it was just sucking the life out of me at this point. Especially working commercial, you just get worked like a dog. I wasn't living up to my potential with that job and I felt awful for it every minute of every day. I knew that I needed a job where I could use my brain instead of slaving my body to fulfill someone else's dream. "Someone's gotta put gas in the boss's boat" That's a line my buddy once said that he probably doesn't know sticks with me to this day.
It ain't me.
So now it was October 2018, and I'm back living with Mom n' Pops. I was so determined that on my last day of work I gave away all of my painting tools to my buddy like, "here, I don't need this shit." Moving out of my rental was easy because I don't own much, 'can't take it with ya.' Excited for the future I now spend my days bundled up in winter wear in the cold air of our hoarder-like basement with a space heater at my feet. My laptop connected to a TV monitor, I'm looking at stocks next to my dad and his screens in his cluttered corner. Our Trading Dungeon. I don't trade any money, (I wasn't aware of any real-time sim programs) I just watch and learn from my dad. Now you've got to keep in mind, and look at a chart of the S&P, this is right at the beginning of Oct '18, I came in right at the market top. Right at the start of the shit-show. For the next three or four weeks, I watch my dad pretty much scratch on every trade, taking small loss after small loss, and cursing under his breath at the screen.
Click.
"dammit."
Click.
"shit."
Click. Click.
"you fuck."
Click.
This gets really fucking annoying as time goes on, for weeks, and I get this attitude like ugh, just let me do it. I'll make us some fucking money. So I convince him to let me start trading live. I didn't know anything about brokers so I set up an account using his broker, which was Fidelity. It was a pain and I had to jump through a lot of hoops to be able to day trade with this broker. I actually had to make a joint account with my dad as I couldn't get approved for margin because my credit score is shit (never owned a credit card) and my net worth, not much. Anyways, they straight up discourage day trading and I get all kinds of warning messages with big red letters that made me shit myself like oooaaahhh what the fuck did I do now. Did I forget to close a position?? Did I fat finger an order? Am I now in debt for thousands of dollars to Fidelity?? They're going to come after me like they came after Madoff. Even after you are approved for PDT you still get these warning messages in your account. Some would say if I didn't comply with "whatever rule" they'd even suspend my account for 60 days. It was ridiculous, hard to describe because it doesn't make sense, and it took the support guy on the phone a good 20 minutes to explain it to me. Basically I got the answer "yea it's all good, you did nothing wrong. As long as you have the cash in your account to cover whatever the trade balance was" So I just kept getting these warnings that I had to ignore everyday. I hate Fidelity.
My fist day trading, I made a few so-so trades and then I got impatient. I saw YECO breaking out and I chased, soon realized I chased, so I got out. -$500. Shit, I have to make that back, I don't want my dad to see this. Got back in. Shit. -$400. So my first day trading, I lost $900. My dumbass was using market orders so that sure didn't help. I reeled the risk back and traded more proper position size for a while, but the commissions for a round trip are $10, so taking six trades per day, I'm losing $60 at a minimum on top of my losing trades. Quickly I realized I didn't know what the hell I was doing. What about my dad? Does HE know? One day, in the trading dungeon, I was frustrated with the experience I'd been having and just feeling lost overall. I asked him.
"So, are you consistently profitable?"
"mmm... I do alright."
"Yea but like, are you consistently profitable over time?"
.........................
"I do alright."
Silence.
"Do you know any consistently profitable traders?"
"Well the one who wrote that book I gave you, Tina Turner.. umm and there's Ross Cameron"
......................
"So you don't know any consistently profitable traders, personally.. People who are not trying to sell you something?"
"no."
...................
Holy fucking shit, what did this idiot get me into. He can't even say it to my face and admit it.
This entire life decision, quitting my job, leaving my rental, moving from my city to back home, giving shit away, it all relied on that. I was supposed to be an apprentice to a consistently profitable day trader who trades for a living. It was so assumed, that I never even thought to ask! Why would you tell your son to quit his job for something that you yourself cannot do? Is this all a scam? Did my dad get sold a DREAM? Did I buy into some kind of ponzi scheme? How many of those winning trades he showed me did he actually take? Are there ANY consistently profitable DAY TRADERS who TRADE FOR A LIVING? Why do 90% fail? Is it because the other 10% are scamming the rest in some way? Completely lost, I just had no clue what was what. If I was going to succeed at this, if it was even possible to succeed at this, it was entirely up to me. I had to figure it out. I still remember the feeling like an overwhelming, crushing weight on me as it all sunk in. This is going to be a big deal.. I'm not the type to give up though. In that moment, I said to myself,
I'm going to fucking win at this. I don't know if this is possible, but I'm going to find out. I cannot say with certainty that I will succeed, but no matter what, I will not give up. I'm going to give all of myself to this. I will find the truth.
It was a deep moment for me. I don't like getting on my soapbox, but when I said those things, I meant it. I really, really meant it. I still do, and I still will.
Now it might seem like I'm being hard on my dad. He has done a lot for me and I am very grateful for that. We're sarcastic as hell to each other, I love the bastard. Hell, I wouldn't have the opportunity to trade at all if not for him. But maybe you can also understand how overwhelmed I felt at that time. Not on purpose, of course he means well. But I am not a trusting person at all and I was willing to put trust into him after all the convincing and was very disappointed when I witnessed the reality of the situation. I would have structured this transition to trading differently, you don't just quit your job and start trading. Nobody was there to tell me that! I was told quite the opposite. I'm glad it happened anyway, so fuck it. I heard Kevin O'Leary once say,
"If I knew in the beginning how difficult starting a business was, I don't know that I ever would've started."
This applies very much to my experience.
So what did I do? Well like everyone I read and read and Googled and Youtube'd my ass off. I sure as hell didn't pay for a course because I didn't have the money and I'm like 99% sure I would be disappointed by whatever they were teaching as pretty much everything can be found online or in books for cheap or free. Also I discovered Thinkorswim and I used that to sim trade in real-time for three months. This is way the hell different than going on a sim at 5x speed and just clicking a few buy and sell buttons. Lol, useless. When you sim trade in real-time you're forced to have a routine, and you're forced to experience missing trades with no chance to rewind or skip the boring parts. That's a step up because you're "in it". I also traded real money too, made some, lost more than I made. went back to sim. Traded live again, made some but lost more, fell back to PDT. Dad fronted me more cash. This has happened a few times. He's dug me out of some holes because he believes in me. I'm fortunate.
Oh yeah, about that book my dad gave me. It's called A Beginner's Guide to Day Trading Online by Toni Turner. This book... is shit. This was supposed to be my framework for how to trade and I swear it's like literally nothing in this book fucking works lol. I could tell this pretty early on, intuitively, just by looking at charts. It's basically a buy-the-breakout type strategy, if you want to call it a strategy. No real methodology to anything just vague crap and showing you cherry-picked charts with entries that are way too late. With experience in the markets you will eventually come to find that MOST BREAKOUTS FAIL. It talks about support/resistance lines and describes them as, "picture throwing a ball down at the floor, it bounces up and then it bounces down off the ceiling, then back up." So many asinine assumptions. These ideas are a text book way of how to trade like dumb money. Don't get me wrong, these trades can work but you need to be able to identify the setups which are more probable and identify reasons not to take others. So I basically had to un-learn all that shit.
Present day, I have a routine in place. I'm out of the dungeon and trade by myself in my room. I trade with a discount broker that is catered to day traders and doesn't rape me on commissions. My mornings have a framework for analyzing the news and economic events of the particular day, I journal so that I can recognize what I'm doing right and where I need to improve. I record my screens for later review to improve my tape reading skills. I am actually tracking my trades now and doing backtesting in equities as well as forex. I'm not a fast reader but I do read a lot, as much as I can. So far I have read about 17-18 books on trading and psychology. I've definitely got a lot more skilled at trading.
As of yet I am not net profitable. Writing that sounds like selling myself short though, honestly. Because a lot of my trades are very good and are executed well. I have talent. However, lesser quality trades and trades which are inappropriately sized/ attempted too many times bring down that P/L. I'm not the type of trader to ignore a stop, I'm more the trader that just widdles their account down with small losses. I trade live because at this point, sim has lost its value, live trading is the ultimate teacher. So I do trade live but I just don't go big like I did before, I keep it small.
I could show you trades that I did great on and make people think I'm killing it but I really just don't need the validation. I don't care, I'm real about it. I just want to get better. I don't need people to think I'm a genius, I'm just trying to make some money.
Psychologically, to be honest with you, I currently feel beaten down and exhausted. I put a lot of energy into this, and sometimes I work myself physically sick, it's happened multiple times. About once a week, usually Saturday, I get a headache that lasts all day. My body's stress rebound mechanism you might call it. Getting over one of those sick periods now, which is why I barely even traded this week. I know I missed a lot of volatility this week and some A+ setups but I really just don't give a shit lol. I just currently don't have the mental capital, I think anyone who's been day trading every day for a year or more can understand what I mean by that. I'm still being productive though. Again, I'm not here to present an image of some badass trader, just keeping it real. To give something 100% day after day while receiving so much resistance, it takes a toll on you. So a break is necessary to avoid making bad trading decisions. That being said, I'm progressing more and more and eliminating those lesser quality trades and identifying my bad habits. I take steps to control those habits and strengthen my good habits such as having a solid routine, doing review and market research, taking profits at the right times, etc.
So maybe I can give some advice to some that are new to day trading, those who are feeling lost, or just in general thinking "...What the fuck..." I thought that every night for the first 6 months lol.
First of all, manage expectations. If you read my story of how I came to be a trader, you can see I had a false impression of trading in many aspects. Give yourself a realistic time horizon to how progress should be made. Do not set a monetary goal for yourself, or any time-based goal that is measured in your P/L. If you tell yourself, "I want to make X per day, X per week, or X per year" you're setting yourself up to feel like shit every single day when it's clear as the blue sky that you won't reach that goal anytime soon. As a matter of fact, it will appear you are moving further AWAY from that goal if you just focus on your P/L, which brings me to my next point.
You will lose money. In the beginning, most likely, you will lose money. I did it, you'll do it, the greatest Paul Tudor Jones did it. Trading is a skill that needs to be developed, and it is a process. Just look at it as paying your tuition to the market. Sim is fine but don't assume you have acquired this skill until you are adept at trading real money. So when you do make that leap, just trade small.
Just survive. Trade small. get the experience. Protect your capital. To reach break even on your bottom line is a huge accomplishment. In many ways, experience and screen time are the secret sauce.
Have a routine. This is very important. I actually will probably make a more in-depth post in the future about this if people want it. When I first started, I was overwhelmed with the feeling "What the fuck am I supposed to DO?" I felt lost. There's no boss to tell you how to be productive or how to find the right stocks, which is mostly a blessing, but a curse for new traders.
All that shit you see, don't believe all that bullshit. You know what I'm talking about. The bragposting, the clickbait Youtube videos, the ads preying on you. "I made X amount of money in a day and I'm fucking 19 lolz look at my Lamborghini" It's all a gimmick to sell you the dream. It's designed to poke right at your insecurities, that's marketing at it's finest. As for the bragposting on forums honestly, who cares. And I'm not pointing fingers on this forum, just any trading forum in general. They are never adding anything of value to the community in their posts. They never say this is how I did it. No, they just want you to think they're a genius. I can show you my $900 day trading the shit out of TSLA, but that doesn't tell the whole story. Gamblers never show you when they lose, you might never hear from those guys again because behind the scenes, they over-leveraged themselves and blew up. Some may actually be consistently profitable and the trades are 100% legit. That's fantastic. But again, I don't care, and you shouldn't either. You shouldn't compare yourself to others.
"Everyone's a genius in a bull market" Here's the thing.. Markets change. Edges disappear. Trading strategies were made by traders who traded during times when everything they did worked. Buy all the breakouts? Sure! It's the fucking tech bubble! Everything works! I'm sure all those typical setups used to work fantastically at some point in time. But the more people realize them, the less effective they are. SOMEONE has to be losing money on the opposite side of a winning trade, and who's willing to do that when the trade is so obvious? That being said, some things are obvious AND still work. Technical analysis works... sometimes. The caveat to that is, filters. You need to, in some way, filter out certain setups from others. For example, you could say, "I won't take a wedge pattern setup on an intraday chart unless it is in a higher time frame uptrend, without nearby resistance, and trading above average volume with news on that day."
Have a plan. If you can't describe your plan, you don't have one. Think in probabilities. You should think entirely in "if, then" scenarios. If X has happens, then Y will probably happen. "If BABA breaks this premarket support level on the open I will look for a pop up to short into."
Backtest. Most traders lose mainly because they think they have an edge but they don't. You read these books and all this stuff online telling you "this is a high probability setup" but do you know that for a fact? There's different ways to backtest, but I think the best way for a beginner is manual backtesting with a chart and an excel sheet. This builds up that screen time and pattern recognition faster. This video shows how to do that. Once I saw someone do it, it didn't seem so boring and awful as I thought it was.
Intelligence is not enough. You're smarter than most people, that's great, but that alone is not enough to make you money in trading necessarily. Brilliant people try and fail at this all the time, lawyers, doctors, surgeons, engineers.. Why do they fail if they're so smart? It's all a fucking scam. No, a number of reasons, but the biggest is discipline and emotional intelligence.
Journal every day. K no thanks, bro. That's fucking gay. That's how I felt when I heard this advice but really that is pride and laziness talking. This is the process you need to do to learn what works for you and what doesn't. Review the trades you took, what your plan was, what actually happened, how you executed. Identify what you did well and what you can work on. This is how you develop discipline and emotional intelligence, by monitoring yourself. How you feel physically and mentally, and how these states affect your decision-making.
Always be learning. Read as much as you can. Good quality books. Here's the best I've read so far;
Market Wizards -Jack Schwager
One Good Trade -Mike Bellafiore
The Daily Trading Coach -Bret Steenbarger
Psycho-cybernetics -Maxwell Maltz
Why You Win or Lose -Fred Kelly
The Art and Science of Technical Analysis -Adam Grimes
Dark Pools -Scott Patterson
Be nimble. Everyday I do my research on the symbols I'm trading and the fundamental news that's driving them. I might be trading a large cap that's gapping up with a beat on EPS and revenue and positive guidance. But if I see that stock pop up and fail miserably on the open amidst huge selling pressure, and I look and see the broader market tanking, guess what, I'm getting short, and that's just day trading. The movement of the market, on an intraday timeframe, doesn't have to make logical sense.
Adapt. In March I used to be able to buy a breakout on a symbol and swing it for the majority of the day. In the summer I was basically scalping on the open and being done for the day. Volatility changes, and so do my profit targets.
Be accountable. Be humble. Be honest. I take 100% responsibility for every dime I've lost or made in the market. It's not the market makers fault, it wasn't the HFTs, I pressed the button. I know my bad habits and I know my good habits.. my strengths/ my weaknesses.
Protect yourself from toxicity. Stay away from traders and people on forums who just have that negative mindset. That "can't be done" mentality. Day trading is a scam!! It can certainly be done. Prove it, you bastard. I'm posting to this particular forum because I don't see much of that here and apparently the mods to a good job of not tolerating it. As the mod wrote in the rules, they're most likely raging from a loss. Also, the Stocktwits mentality of "AAPL is going to TANK on the open! $180, here we come. $$$" , or the grandiose stories, "I just knew AMZN was going to go up on earnings. I could feel it. I went ALL IN. Options money, baby! ka-ching!$" Lol, that is so toxic to a new trader. Get away from that. How will you be able to remain nimble when this is your thought process?
Be good to yourself. Stop beating yourself up. You're an entrepreneur. You're boldly going where no man has gone before. You've got balls.
Acknowledge your mistakes, don't identify with them. You are not your mistakes and you are not your bad habits. These are only things that you do, and you can take action necessary to do them less.
It doesn't matter what people think. Maybe they think you're a fool, a gambler. You don't need their approval. You don't need to talk to your co-workers and friends about it to satisfy some subconscious plea for guidance; is this a good idea?
You don't need anyone's permission to become the person you want to be.
They don't believe in you? Fuck 'em. I believe in you.
submitted by indridcold91 to Daytrading [link] [comments]

https://www.m1finance.com/articles-2/best-financial-websites/

What are the best financial websites?
The best financial sites offer a wealth of resources to people ranging from beginning investors to seasoned professionals. Some of these websites come from recognized leading financial media sources while others offer personal and investment financial advice from bloggers who have been successful. We have compiled a list of the best financial sites and finance blogs that you should include in your list of reading.
Why should I read the top financial websites?
In the past, people had to rely on financial advisors to gain information and education about finance. That notion has changed with the availability of the internet. There is a variety of top financial websites with more coming online each day. Since not everyone has a background in finance, reading some of the best websites is a great way for you to become more educated and confident about finance.
When did financial advice websites begin?
Financial websites started in the late 1990s with many more coming online in the 2000s. Some, such as Bankrate, started out in print decades ago before transforming into one of the best financial websites. Financial planning websites can help you to learn how to manage your money and to build wealth in a more effective way.
Learn about the best financial websites and financial blogs from M1 Finance Users of the best financial websites today
According to data from Statista, the top three leading finance websites by visitors include Yahoo! Finance with 70 million visitors per month, MSN Money Central with 65 million monthly visitors, and CNN Money with 50 million monthly visitors. The need for financial education and literacy is clear. According to the Financial Educators Council, the average test result for financial literacy across all age groups was a low 63%.
According to the Next Web, more than one million new users of the internet are coming online every day. There are reportedly over 4.3 billion internet users who are now online around the world. The global reach of the internet makes it an ideal vehicle for helping people around the world to become financially literate.
What are some of the best general financial websites?
These best financial websites are leaders in the provision of general financial information. Investors of all levels can benefit by making it a habit to read these top financial websites on a regular basis.
Yahoo!Finance
Yahoo! Finance aggregates finance news from around the internet. It also allows you to purchase company reports. You can find charts, price quotes, information about competitor companies, earnings reports and key ratios for free.
CNBC Markets
CNBC Markets provides up-to-date news about the global markets. In the news section, you can find listings of developments in the U.S. stock markets as well as for developments across Europe and Asia.
Forbes Money
Forbes Money is a leader in the finance and business world. Readers who are invested in topics such as investing, business and leadership can all find something that appeals to them in Forbes. In addition to finance topics, Forbes also covers related financial areas.
Investing.com
Investing.com is one of the best financial sites for people who are interested in active trading. On the home page, you can view forex prices, ETFs, commodities prices and futures contracts. The news section offers in-depth articles. Investors check this site daily to see current quotes for a variety of different investments.
Bloomberg
Bloomberg is one of the best financial websites for market data. On its news section, you can choose from different categories by region, general financial information, industry and asset class. You can see the historical information for a queried stock, which is helpful in identifying how different types of news reports impact the performance of the stock.
Reuters
Reuters is another website for obtaining market data. It offers broad coverage of stock news, sector news and market news. You can also find historical information, as well as an auto-complete stock name feature that is helpful search tool.
GoogleFinance
GoogleFinance is one of the best financial sites because of its search functionality. You can find an abundance of information about price quotes, news, competitor companies, earnings reports and key ratios. Keep in mind that some news items are not in real-time.
Read about the best financial websites and financial blogs from M1 Finance The Wall Street Journal
The Wall Street Journal has been released in print format since 1989. Online, it is reviewed as one of the top financial websites around the world. Readers from across the globe subscribe to the Wall Street Journal for its business news. The WSJ also offers its readers email alerts about news and stock information.
Investopedia
Investopedia is one of the best financial websites because of its emphasis on financial education. You are able to start a watchlist to track your stocks and can take courses on investing through its Investopedia Academy. The many articles offered by Investopedia is a rich resource for people who want to learn more about the stock market and financial principles.
Financial Times
The Financial Times is another leading publication that is read around the world. It offers comprehensive international coverage of financial news. However, you are only able to read the headlines for free. With a paid subscription, you can read the detailed news reports and gain access to diversified content.
NerdWallet
NerdWallet is one of the best financial websites for comparisons. The site allows you to compare investment accounts, high-yield savings accounts, CDs, debit cards, mortgages and credit cards. The site releases a best list for every category annually.
The Economist
The Economist is another go-to source for the latest in international news. It is authoritative and offers in-depth coverage of politics, finance, business, technology and science.
BankRate
BankRate was launched in 1976 as a newsletter and is highly respected. It has become one of the best financial websites available on the internet. You can find a wealth of data on mortgages, bank rates and credit cards. It also offers online financial advice about financial planning, investing and saving for retirement.
Barron’s
Barron’s is a weekly newspaper that has been published since 1921. On its website, it provides news about market developments in the U.S., financial information and related statistics. The website contains interest sections with in-depth coverage contained within each. Latest financial news can be found on its home page, while interest sections include technology, retirement, options and funds.
SEC
The SEC offers primary source material such as the quarterly and annual financial reports that have been filed with the SEC. These include publicly-traded companies’ filings. All of this data can be accessed through EDGAR on the SEC’s website by searching for a stock ticker symbol or the name of a company.
Kiplinger
Kiplinger ranks as one of the top financial advice websites. It is a sound resource for financial advice with coverage on how to save money and avoid fees. Kiplinger has a section that covers the basics of personal finance and has quizzes on a variety of finance topics.
Motley Fool
The Motley Fool offers investors in-depth analysis on general financial information. It also has stock market analyses and insights. While the name might be odd, the financial services company encourages its readers to become financially independent through information and research. Access to advice from experts is offered for an additional charge.
Money Morning
Money Morning boasts a free daily newsletter on information that can help you to become financially independent. The site’s layout is divided into major categories as well as hot topics sections. You can find advice on different stocks with in-depth analyses.
What are some of the best financial websites for stocks and trading?
If you are wanting to focus on the best financial websites for stocks, you can cut down your search time by including in your reading these best financial sites that we have listed for you. Each of these sites allows you to get the information that you need about different stocks and companies so that you can make informed investment decisions.
Investigate the best financial websites and financial blogs from M1 Finance CNN Markets
CNN is among the top news networks in the world. It has a markets section that simplifies browsing of economic news. The markets section contains current financial news, commodities changes, trending stocks and much more. Each of these topics has its own dedicated page for more in-depth information. If you want a fast update about the market news, CNN is a great source.
MarketWatch
MarketWatch has a news viewer section that gives you access to stories that have timestamps. News items are automatically updated, and its coverage includes global stock markets, forex, commodities and other classes of assets. It also offers data about macroeconomics and fundamental analysis information.
Seeking Alpha
Seeking Alpha aggregates data from other financial sites. You can find trending finance articles from across the internet together with the top-performing stocks and recent news. Seeking Alpha articles range from types of investment to investment strategies.
NASDAQ
NASDAQ offers the latest analysis and stock market news. You can find information on companies and their competitors, the latest news and see how the markets are performing. The site also provides quote updates and financial tools to aid in your investing endeavors.
Morningstar
Morningstar allows you to view annual returns of ETFs and mutual funds for the past 10 years. Quarterly and monthly returns for the past five years are also available on this site. You can review the after-tax returns of different funds so that you can gain a better idea of investor earnings.
The Street
The Street is one of the best financial sites for news about investing. When you read The Street, you can find opinions, recommendations, current events and how to get started in the market. There are also paid services that are available to investors, including market analyses and advanced strategies.
Zacks Investment Research
Zacks Investment Research requires you to sign up for a free membership to gain access to its data on funds and stocks. You are able to use this site to conduct comprehensive research. Zacks gives you access to independent reports that can help you when you are trying to build a well-diversified portfolio.
Review the best financial websites and financial blogs from M1 Finance NYSE
If you are invested in the stock market, the NYSE should be included on your list of best financial sites to read. The NYSE access includes listings information, markets, historical and real-time market data. All investors should make a habit of checking the NYSE’s site on a regular basis to stay informed.
What are some of the best financial blog sites?
Our list of best financial websites contains multiple finance blogs. These blogs offer online financial advice and financial planning tools while also providing answers to common investing questions. A list of the best financial sites would not be complete without including these top financial websites.
The Balance
The Balance offers articles that are divided into categories such as retirement, investing, debt management and banking. The articles give advice about many areas of finance and aim to increase your financial literacy.
Wise Bread
Wise Bread is a community of personal finance bloggers and finance experts. The goal is to help people to live well financially and to derive more enjoyment out of life. It includes multiple sections, including personal finance, frugal living, life hacks, credit cards and career advice.
Financial Post
The Financial Post offers a mix of financial news and analysis together with personal finance advice. The site targets a range of people from young investors to high net worth investors.
Money Crashers
Money Crashers is a comprehensive site that covers nearly all things related to finance. You can find information about debt, credit, investments, living frugally, small business and family. The goal is to educate those who are looking to make sound financial decisions.
The Simple Dollar
The Simple Dollar, written by the author of “365 Ways to Live Cheap!”, provides numerous tips for frugal living. It is one of the best financial planning websites for people who are wanting to gain control of their finances. Reading this blog can give you answers to your financial questions about how to reduce your expenses so that you can live within your means.
Good Financial Cents
Good Financial Cents is one of the best financial sites for people who want to learn about personal finance. It is written by Jeff Rose, who also has a YouTube Channel featuring many of his blog topics. The focus of this certified financial advisor’s blog is to educate people on how to become financially independent.
Financial Samurai
The Financial Samurai was established in 2009 by Sam Dogen. He was able to leave his job in corporate America after 13 years by saving at least 50% of his after-tax income from the time that he began his professional job. He invested his savings in real estate, bonds, stocks and CDs in order to have enough passive income to be able to quit his job and focus on his blog. He offers information about wealth management, financial products, real estate and more.
Dave Ramsey
Dave Ramsey is a well-known expert in the finance field who offers financial planning tools and personal finance education. His blog is recognized as one of the top financial planning websites and is used by millions of people to learn how to build wealth, reduce debt and increase their savings.
Mint Life
Mint Life is among the best financial sites for people who are looking for a broad personal finance resource. The blog contains a large list of money management categories with a range of articles available in each. The categories include everything from student finances, housing finances, food budgets, to much more.
Mr. Money Mustache
Mr. Money Mustache is a credible finance site with a quirky name. The author, who was able to retire at age 30, started his blog in 2005 when he was 36 years old. The blog’s mission is to allow you to learn how to live below your means and to build your savings quickly so that you can retire early, too.
Incorporating some of the best financial websites into your daily life can help you to learn more about how you can attain financial freedom by budgeting, living frugally and making saving a habit. You can take the information that you learn from these sites and apply it when you invest with M1 Finance.
Learn how M1 can empower you to manage your money and earn more
You can use your acquired knowledge from top financial websites to manage your own portfolio with M1. Instead of paying someone else to build a portfolio, you are able to build one yourself with M1. You have the control to customize your portfolio in order to meet your needs or you the option to choose from 80 prebuilt expert portfolios that were created to meet different goals, timeframes and risk levels. The sleek and intuitive design of the M1 Finance platform makes managing and building your portfolio simple.
M1 Finance is an online brokerage firm that blends key financial principles with digital technology to provide investors with a straightforward and seamless investing experience. M1 Finance helps you to manage your money in a more effective way so that you can earn more. The platform uses automated reinvestments and dynamic portfolio rebalancing to save you time. These features help to keep your portfolio in line to meet your financial goals.
When you choose M1 Finance, you are able to invest for free. M1 does not charge management fees or commissions, and you will be able to access the powerful automation from anywhere with its mobile investing capabilities. Get started today by signing up online or call us to learn more about investing at 312-600-2883. DISCLAIMER: Please consult your finance and tax professionals to learn more about investing and taxes.
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submitted by luis3445 to M1Finance [link] [comments]

Using Technical Analysis on High Impact News Events

Using Technical Analysis on High Impact News Events
I have shown in several of my posts how my technical analysis strategies can be very effective in moves that seem to be news driven. Up to now, it's been mainly small events. Some guy says something about Brexit. Trump tweets. Little price movements, low impact events. Now I'll show you it on interest rates (the biggest regularly recurring fundamental events).
Here are the trades I took shortly after the ECB announcement.
https://preview.redd.it/2u68ujv238m31.png?width=810&format=png&auto=webp&s=5b5872c714206cbf67fd79e1f44bde5fc695c14d
Here was my fundamental preparation for these trades.
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I don't know there is an ECB decision today. None of my trade plans have Euro in them, and I've just filtered for high impact news on currencies I'm trading. Someone I am chatting with on WhatsApp said the ECB are morons and they have to go because there's going to be volatility. I think to myself, "Yeah. ECB are morons". Then about 5 minutes later wonder if anything substantial has happened.
Open EURUSD chart. See patterns. Execute trades.
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After this I Google "ECB".
https://preview.redd.it/csp4z8lv58m31.png?width=850&format=png&auto=webp&s=d4a57ed1c26404e5eed689334fc2f6d7f14d1db8
This is not part of the analysis, it's just a little tip to techy traders. Sometimes you're going to encounter people who know fuck all about trading but here about these things and reference them to you, because you're the 'Forex guy/girl'.
What I do takes quite a bit of explaining. It's a bit dry. Not fun at parties. Know what I am saying. So, instead of having to do that, now I can just say;
"Woah. Yeah. You see that too? Wild stuff. Draghi went with the stimulus. Trumps not happy! I'll tell you that. DXY surely took a hit".
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Social Indicators

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I've said throughout my posts we often can get information that this sort of event has happened from forum chatter.
https://preview.redd.it/yw7lh3sk78m31.png?width=698&format=png&auto=webp&s=f9b27fdc7feb319c0df246124b1b08a2d4ec50a2
Source https://www.reddit.com/Forex/comments/cvki79/shorting_noobs_fake_news_false_breakouts_and_the/
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I am not being unkind when I say this. It is true. There were multiple posts asking about Euro pairs in immediate aftermath of this event in Forex you can clearly see from timestamps that the times these questions were being asked and answered was a great time to be executing buys.
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I explained this sort of move we can get off of news events here.
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https://preview.redd.it/d1lume3598m31.png?width=710&format=png&auto=webp&s=5e17e0c0543dff49f27dcc6da7832dd7a34cb582
Source:https://www.reddit.com/Forex/comments/cv1hf4/preparing_for_the_impulse_gbpusd_traps_to_expect/
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(Note, I said ' few weeks' because this was referring to larger timeframe analysis)
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https://preview.redd.it/k7wyqr3p98m31.png?width=813&format=png&auto=webp&s=a4b25d55ae810e40b894a37dfeecfa9c16ff1955
The announcement comes out. It spikes towards the 61.8 and then sells off strongly. It reverses sharply close to the lows, and then begins to make parabolic moves upwards.
I draw a fib extension from the bottom to the top of the big 15 minute candle. I am watching for what happens around the levels, and mainly on the 1.61% level.
https://preview.redd.it/131qan7ib8m31.png?width=818&format=png&auto=webp&s=21e77b9df8533ea30bac2b75d86820172408b67a
When I see this little doji like candle on the 1.61% fib, I am entering. My stops can go right under the lows here. I scatter them a bit because the market is very volatile at the time and may spike low, but my 6 pip stops survive.
Even although looking at everything 'right there' this looks like a sell. The news. The momentum. The new breakout. Despite all this, this starts to scream "BUY" at me. Often one of two things happen, I lose a quick small trade, or I make 1:10 + RR trades. Good spot, as far as I'm concerned.
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These things take a lot of practice. If you try and rush out and think you can do this any time there is a news event you'll get destroyed. Unfortunately there is much more that goes into this than I can cover. I know how to do this right because I've done it wrong 100 times. It's really hard. Until you can do it, then it's really easy. Funny how that works. If you put in a lot of effort, these things can be done.
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Footnote: I do not trade in the minutes after the news event or the minutes before. These are times where anything can happen, and most of the things would not be good. I'm always waiting until 15 minutes or so after to start to make assessments.
submitted by whatthefx to u/whatthefx [link] [comments]

Month, Week and Day Trading Strategies

Month, Week and Day Trading Strategies
My name is Marek Hawk and I am a professional trader of Horizon Trading Team. In today’s article, I will show you how I approach different timeframes with combined strategies which helped me to get stable income from my trading business. Recurrently, a trader can be caught by a specific trading style, which he would like to polish to the highest level. It is adequate, but why shouldn’t a trader use his/her skills for the diversification just linked to various trading styles build on diverse time periods? It is one of the most effective ways how to make a stable living from trading despite essential space for developing trader’s strategies.

Month and Week Trading Strategies

If a trader is holding a position longer then one day, we talk about a swing trading strategy. Of course, a trader can hold the position for a month if the trading setup requires that. I like this trading style very much as it does not involve intense focus and time cost. You can just leave your money working for you which leads to very effective time management. For beginners it is also a good strategy starter because a new trader will learn that time spent with the charts does not corelate with income, not in trading industry.
The perfect time frame, for holding the position for a month or similar, is caught by 1-day and 4 hours periods.
Examples:
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The pair EURUSD offered us a nice swing trade on 1-day timeframe. The trade was opened for a few weeks and we let our capital work for us. We used Horizon Level for spotting the place where smart money would like to gain the position.
A little bit faster approach offers a week trading strategy. I like to trade the strategy on 1-hour and 4 hours chart because trade is usually closed within a few days.
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British Pound against US Dollar offered a nice opportunity during previous week. Horizon Level worked perfectly, and the trade went directly to our take-profit. The trade was close within a week.
From the experience I am sure that the swing strategies attempts its money management with lower risk than day trading strategies due to their frequency of trading. Traders can risk higher percentage of the capital, generally, however due to lower time pressure for analysis, naturally traders tend to select more profitable scenarios as the result. The beginner had better stick with the techniques which helps him to improves his/her skill and to gain his/her confidence.
Day Trading Strategies
Day trading strategies operate with opening and closing the trades in one day, it doesn’t allow to leave trader’s position open during the night. Day trading path takes trader in journey of more demanding risk, money management and discipline. A risk per trade is commonly lower in comparison with swing strategies, nevertheless higher returns are compensated by increased frequency of trading. Because of that trading itself is more intense and requires more focus.
Our Horizon Trading Team has been developing patterns based on spotting orderflow of big players, smart money flow on all the markets. Today’s theme is about forex market, but if you want to find out how we are making money on the stocks market, please read about our Horizon Day Trading Stock Strategy.
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The short daytrade scenario for British Pound vs US Dollar on 30-minute intraday timeframe. The currency pair is going through a middle-term downtrend and using the know-how of swing strategy analysis gives a trader the advantage of opening intraday trades on the same instrument for the benefit of additional raise of trader’s equity.
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Using similar scenario for British Pound vs Japanese Yen on 15-minute intraday period. Horizon Level helps to get into the trade with the smart money flow.

Conclusion

In this article I characterized the difference between a month, week and day trading strategies. Our team uses all these tactics considering diversification, time effectivity, structured day trading and consistent income. Month and week trading strategy attempt to take trades for longer-time periods, meaning that a trader can let his/her money work while is doing something else. Day trading strategy is more focused on consistency and higher return, though demands more time and focus.
It is possible to combine the techniques together with the same or similar tactics and use it for the effective diversification based on trading multiple time periods. The benefit will be raised and stabilized income with almost no additional time cost.
submitted by Horizon_Trading to u/Horizon_Trading [link] [comments]

WolfpackBOT - The world's fastest and most secure trading bot

WolfpackBOT - The world's fastest and most secure trading bot
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https://preview.redd.it/b2ffej55zfd21.png?width=768&format=png&auto=webp&s=196c912c5d4250be54d647648613545f74faec7d
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INTRODUCTION

According to wikipedia, Blockchain is originally known as bloc chain, It is a growing list of records known as blocks which is linked using cryptography, each of these blocks contain a cryptographic hash of the initial block, a transaction data and a time stamp.
Since its emergence in the year 2008, when Nakamoto satoshi discovered and introduced bitcoin, there has been serious efforts to integrate the blockchain technology into several aspects of various process of global business , The blockchain technology has been described as having the potential to disrupt many industries with immutability, low-cost transaction, and enhanced maximum security. So many other blockchain implementations have been deployed and developed with unique features designed to specific use-cases.
The blockchain technology has made possible to issue assets through a distributed ledger framework. With cryptocurrency tokens, Assets can be given economic value in order to validate and initiate transactional processes.

ADVANTAGES OF BLOCKCHAIN:

  1. Decentralised payment processing,
  2. Creating an immutable system of recording,
  3. Reducing Cost of Transaction and
  4. Enhanced Security.
  5. Now that we have reminded ourselves of what blockchain technology is, let’s look into the subject matter.

ABOUT WolfpackBOT

WolfpackBOT is a highly advanced cryptocurrency trading software that allows for the execution of trades at lightning speed using proprietary trading algorithms, proprietary “Werewolf” Trading Analysis configurations, or user customized settings based on personal trading style. WolfpackBOT also allows for simultaneous trading access to all compatible cryptocurrency exchanges that are available to the bot, and all trading pairs with the WerewolfBOT subscription package.
WolfpackBOT is introducing an industry first, a beautiful automated cryptocurrency trading console: The WolfBOX. This efficient and sleek piece of hardware will conveniently allow for the full utilization of a bot subscription without the need for a VPS or dedicated computer. The WolfBOX will also include a built-in secure Hardware Wallet and RFID card reader to optimize ease-of-use and functionality.
WolfpackBOT trading software is enabled with limit, market, and “Wolf Trade” orders on all trading candles, including one-minute candles, with the widest array of technical trading indicators available on the market. WolfpackBOT's proprietary “Wolf Trade” orders provide superior market sell orders with a bite! WolfpackBOT is the only trading bot to feature live price scanning on your positions and also handles partial fills with ease, meaning you don’t miss out on orders. WolfpackBOT is incredibly fast and can fulfill up to 10,000 trades per day depending on market conditions and subscription package.
WolfpackBOT allows simultaneous trading access to all cryptocurrency exchanges that are available to the bot, and all trading pairs through the WerewolfBOT subscription plan. Not only do inferior bots allow limited access to one exchange and one trading pair per bot, they also store your API keys remotely on servers which are potentially susceptible to hacks and pump and dump attacks. User security and API key protection holds a high priority within the WolfpackBOT framework which is why it is the only trading bot that gives users full control with local management of their API keys.
Masternode and Proof of Work X11 Blockchain
Wolfcoin Blockchain with X11 Proof of Work Mining and Masternode Reward Systems The Wolfcoin blockchain and network are both designed and engineered to ensure store of value, transactional speed and security, and fungibility. The main goal of the Wolfcoin blockchain is to facilitate fast and secure transactions with a governance that helps sustain the network for the benefit of all users. The Wolfcoin blockchain is a two-tier network comprised of a Proof of Work (PoW) consensus mechanism powered by miners and a Proof of Service (PoSe) system powered by masternodes.
The Wolfcoin blockchain is secured through Proof of Work (PoW) in which miners attempt to solve difficult problems with specialized computers. When a problem is solved, the miner receives the right to add a new block to the blockchain. If the problem was solved correctly, the miner is rewarded once the block is added.
The second tier, which is powered by masternodes, enables Wolfcoin to facilitate private and instant transactions with Private Send and Instant Send. Masternodes are also rewarded when miners discover new blocks.
The block reward is distributed with 80% going to the masternodes and 20% going to miners. The masternode system is referred to as Proof of Service (PoSe), since the masternodes provide crucial services that support the features of the network.
Masternodes also oversee the network and have the power to reject improperly formed blocks from miners. If a miner tried to take the entire block reward for themselves, the masternode network would orphan the block ensuring that it would not be added to the blockchain.
In short, miners power the first tier, which is the basic sending and receiving of funds and prevention of double spending. Masternodes power the second tier, which provide the added features that make Wolfcoin different from other cryptocurrencies. Masternodes do not mine, and mining computers cannot serve as masternodes.
Additionally, each masternode is “secured” by 10,000 WOLF. Those WOLF remain under the sole control of their owner at all times. The funds are not locked in any way; however, if enough of the funds are moved or spent to cause the user’s holdings to drop below 10,000 Wolfcoin, the associated masternode will go offline and stop receiving rewards.
By pre-ordering your WolfpackBOT subscription, you will also receive Wolfcoin as a reward that can be utilized in the following ways:
  • Redeemable for WolfpackBOT subscriptions
  • Redeemable for the WolfBOX Console
  • Redeemable for WolfpackBOT and Wolfcoin apparel and merchandise
  • Fungible utility that can be exchanged for like value on exchanges
When you hold at least 10,000 Wolfcoin in your Wolfcoin wallet connected to a static IP address, you will become a masternode, meaning you will have a chance to receive 80 percent of the block reward every sixty seconds.

THE FEATURES

WolfpackBOT Automated Trading Software:

After the crowdsale, Wolfcoin will be the exclusive method of payment for WolfpackBOT Automated Trading Software subscriptions.

Multiple Technical Analysis Indicators:

WolfpackBOT offers the widest array of multiple Technical Analysis indicators, oscillators, configurations and settings available in the world of Automated Cryptocurrency Trading Bots. WolfpackBOT provides Bollinger Bands, Double EMA, Elliot Wave, EMA, EMA Cross, Fibonacci Sequence, KAMA, MA Cross, MACD, RSI, SMA, Stochastic, Stochastic RSI, Triple EMA, and many more!

Shorting Features:

WolfpackBOT includes Cryptocurrency Shorting Features that allow users to short their positions and buy them back at the lower price to maximize their returns.

Copyrighted Crash Protection:

Crash Protection, one of WolfpackBOT's most advanced features, enables users the option to automatically scan and convert all positions to a stable coin at the sign of our proprietary Hidden Bear Divergence Indicator, and then buy back into base currency to resume trading at the sign of our proprietary Hidden Bull Divergence Indicator.

Language Translator:

WolfpackBOT has a built in Language Translator that instantly translates the entire BOT into Dutch, English, French, German, or Spanish.

All Trading Pairs on all available Exchanges:

WolfpackBOT allows our customers to simultaneously trade on multiple cryptocurrency exchanges, and with all the exchange’s trading pairs available for trading. The best part is that it’s all possible on one bot with one subscription to the WerewolfBOT package!

Coin Selector:

While other automated trading platforms only allow for a limited amount of coins per subscription, WolfpackBOT allows all trading pairs and all coins to be traded on all the available major exchanges with the WerewolfBOT subscription. WolfpackBOT's proprietary Coin Selector allows for users to choose whether to trade all cryptocurrencies or blacklist some, thus not trading them at all, as well as search for the highest volume, greatest performing, or a specific volatility range of coins for a given timeframe.

Werewolf Configurations and Settings:

Werewolf Configurations and Settings are copyrighted trading algorithms that use proprietary optimum settings for trading: the perfect configuration for experienced and inexperienced traders alike. These settings can be adjusted to the current market trend, with preset configurations for bear, sideways, and bull markets.

Werewolf Ultimate:

Werewolf Ultimate is the ultimate choice when trading. It doesn't trade a particular trading pair or particular coins, it trades them all. It goes in for the kill to increase the potential returns. Crash Protection is a built-in feature in Werewolf Ultimate.

Werewolf Bull Market:

Werewolf Bull Market are preset settings and configurations that are usable when your Base Trading Pair is in a Bull Run. Werewolf Bull Market settings are optimized for such conditions and should only be used in a Bull Run Market.

Werewolf Sideways Market:

Werewolf Sideways Market are preset settings and configurations that are usable when your Base Trading Pair is trading sideways. Werewolf Sideways Market settings are optimized for such conditions and should only be used in a Sideways Trading Market.

Werewolf Bear Market:

Werewolf Bear Market are preset settings and configurations that are usable when your Base Trading Pair is in a Bear Run. Werewolf Bear Market settings are optimized for such conditions and should only be used in a Bear Run Market.

The WolfBOX Hardware Console:

WolfpackBOT also offers an industry first: a beautiful hardware console, The WolfBOX. Our console comes preloaded with WolfpackBOT Automated Trading Software and also includes a built-in secure hardware wallet. Some of the key features of the WolfBOX include our high-speed CPU, solid-state hard drive, built-in RFID card reader, and integrated Bitpay and Coinbase wallets.

Wolfpack Consulting

Our company offers its services and expertise as Cryptocurrency and Blockchain Specialists to individuals and companies. We offer consulting services in the fields of blockchain and cryptocurrency development and management.

Wolfpack Philanthropy

We are dedicated to the proposition that we have a responsibility to use a portion of our company’s revenue to help create a better world and a brighter future. As we move forward, our philanthropic efforts include environmental stewardship, renewable energy, human rights, economic development, as well as animal and wildlife rescue and conservation with an emphasis on dogs and wolves.

Wolfcoin Information

THE WOLFCOIN Wolfcoin is the coin that fuels all WolfpackBOT's projects.
This utility, coupled with the reward systems with mining and Masternoding capabilities, makes the use of Wolfcoin potentially appealing to all WolfpackBOT users whom are interested in receiving additional Wolfcoin for subscriptions, merchandise and other rewards such as passive cryptocurrency portfolio growth.
THE WOLFCOIN WALLET WolfpackBOT uses our proprietary Wolfcoin Core QT wallet.
February 2018 Conceptual development of WolfpackBOT Software
May 2018 Company Roadmap development Alpha models of WolfpackBOT Software
June 2018 Ongoing research, development, and testing
October 2018 Advertising and Marketing Campaign Starts Wallets available for payment; BTC, BTG, DASH, DOGE, ETC, ETH, LTC October 15 - Pre-registration begins
November 2018 November 1 - Crowdsale Stage I begins
December 2018 Official presentation of WolfpackBOT beta Software Preview Creation of Wolfcoin (WOLF: 300,000,000 coins pre-mined on Genesis Block) WolfpackBOT beta Software release to selected customers
December 21 - Launch network and mine Genesis block
December 22 - PoW / Mainnet
December 23 - Blockchain and network testing
December 28 - Iquidis Wolfcoin Block Explorer released on our website
January 2019 January 1 - Wolfcoin Core wallets available for download on the website January 1 - Wallet and Masternode Tutorial available January 1 - Masternode and PoW instructional videos available January 1 - Subscription Pre-order Coin Rewards disbursed Announcement listing WOLF on top-10 Exchange
February 2019 February 1 - Crowdsale Stage I Ends February 1 - Crowdsale Stage II Begins
March 2019 March 15 - Crowdsale Stage II Ends March 15 - Crowdsale Stage III Begins WolfpackBOT Software roll-out to contributors WolfBOX Console available for Pre-order
April 2019 WolfpackBOT Subscriptions available for customers First Major version released: automated, manual, and paper trading WolfpackBOT Live support center April 30 - Crowdsale Stage III Ends
May 2019 WolfBOX Consoles Pre-orders first shipment
June 2019 New trading features such as new exchanges, strategy options and indicators
July 2019 New trading features such as new exchanges, strategy options or indicators
August 2019 WolfpackBOT Software Trading Platform V2.0 Second major release: Strategy Marketplace and Back-testing
September 2019 New trading features such as new exchanges, strategy options or indicators
October 2019 WolfpackBOT Software Trading Platform V3.0 Third major release: Signals Marketplace (Supporting 3rd Party App Signals) Mobile Application for WolfpackBOT Software and Trading Platform
November 2019 New trading features such as new exchanges, strategy options or indicator
December 2019 WolfpackBOT Software Trading Platform V4.0
January 2020 WolfpackBOT Software Trading Platform V5.0 Fourth major release: Machine Learning Strategy Optimization

THE AMAZING TEAM

Philip Longhurst Chief Executive Officer The leader of our pack and the man behind the WolfpackBOT trading bot, Philip Longhurst is a mathematical genius, engineer, day trader, and animal rescuer. As an account manager for J.P. Morgan and MBNA Bank, Phil managed the accounts of several high-profile clients and businesses. He has been successfully trading stocks for over twenty-five years and has successfully applied his trading expertise and mathematical acumen to the cryptocurrency market since 2013.
Philip holds bachelor's degrees in mechanical engineering and business administration and is a loving husband, father, and family man who has been rescuing dogs since 1995. His driving desire is to use the success of Wolfpack Group to create a brighter future for humanity. He currently resides in the United States of America with his wife, daughter, and dogs.
Rogier Pointl Chief Financial Officer Rogier Pointl is a successful entrepreneur with nearly twenty-five years of experience in business management, marketing, financial administration, economics, and fintech. Rogier holds bachelor's degrees in Business Communications and Financial Administration. He is a pioneer in the field of virtual reality, having served as CEO and owner of Simworld, the first virtual reality racing center in Europe, where he oversaw the development of advanced simulator and virtual reality hardware and software.
Rogier is an experienced trader and has been trading stocks since 2007. He began applying his expertise to the cryptocurrency market in 2010, gaining experience as a Bitcoin miner along the way. Rogier is a loving husband and father and currently resides in the Netherlands with his wife and two daughters.
Jason Cormier Chief Technical Officer Jason Cormier is a humble -but extraordinary- individual who is blessed with a Mensa IQ of 151, he is continually driven by a desire for knowledge and self-growth. He is self-taught in Visual Basics, C#, C++, HTML, and CSS and began developing programs and applications at the age of 14, including the TCB Wallet, which was the first ever wallet program that held its users' log in names and passwords. Jason is a cryptocurrency guru whose expertise includes cryptocurrency mining farms, proof-of-stake, masternodes, and cryptocurrency trading.
Jason holds Associate degrees in Computer Science and Psychology, and currently resides in the United States of America with his wife and son.
Jay McKinney Chief Web Development and Design Officer Jay is a veteran of the Iraq War who put his life on the line in combat to protect our freedoms. To center himself while stationed in the Iraqi warzone, he taught himself C# as he knew honing his Web Development skills would help him provide a better future for himself and his family. Upon returning home safely, he worked his way through college and holds bachelor's degrees in Computer Programming and Web Development & Design.
Jay has worked for the Kentucky Housing Corporation, serving as a software engineer and web developer. He is a loving family man who currently resides in the United States of America with his wife and two children.
David Johnson Chief Software Development Officer David holds a Master of Science degree in Information Systems and a Bachelor's degree in Business Administration with a specialization in Information Systems, graduating with Magna Cum Laude status. He has worked for the Kentucky Housing Corporation, serving as a network analyst and software engineer. As an entrepreneur, he has owned his own web and software development company since 2009, creating and maintaining several websites in C# and PHP, and has been operating the crypto-oriented YouTube channel BigBits since 2017, where he discusses automated Cryptocurrency trading strategies.
David is a proud father of two and resides in the United States of America with his wife and children. Like any good Kentuckian, he is a huge fan of the University of Kentucky's college sports teams.
Gabriel Condrea Software and Web Development Officer Gabriel Condrea holds a bachelor's degree in electrical and computer engineering and has worked as a software developer and senior systems engineer in both the United States and the United Kingdom, working with a variety of programming languages and IDEs. He has used his expertise to create Manufacturing and SCADA systems in industrial applications.
Gabriel also applies his engineering skills to cryptocurrency day trading, seeking to automate the process. He loves to travel and currently resides in the United States with his girlfriend.
Igor Otorepec Chief Hardware Development Officer Igor is an engineer with twenty years of experience specializing in advanced PLC programming and industrial robotics. He is also an IT security expert and a CEC Certified Ethical Cracker who uses his skills to expose and patch security vulnerabilities in blockchain codes.
Igor is an advanced cryptocurrency trader and Kung Fu master who uses bio-hacking as a way of life to keep his 'chi' constantly centered. He currently resides in Austria with his loving wife.
Manik Ehhsan Director of Marketing and Public Relations Manik holds a Bachelor's degree in Computer Science and has over five years of experience in Web Development, Digital Marketing and Graphics Design. He has also managed the marketing for more than 30 successful Cryptocurrency start-ups and projects, and specializes in SEO and ASO. Manik is also a Cryptocurrency project promotion expert with an emphasis on Masternodes and building Social Media Communities.
Manik has focused his life on Cryptocurrency and currently resides in Bangladesh with his loving family.
Rance Garrison Chief Marketing Officer Rance Garrison holds a bachelor's degree in Business Administration and specialized in Seminary Studies for his Master's degree. He served as an AmeriCorps VISTA at WMMT-FM, the radio station owned by Appalshop, an arts and education center in Kentucky, and has also specialized in local cable television advertising. Rance is also a musician who has released several albums independently over the last decade.
Rance is very dedicated to his local community and is most excited by the potential implications of cryptocurrencies and blockchain technology for rural and remote economies. He currently resides in the United States of America with his wife, dog, and cats.
Paul Gabens Chief Public Relations Officer A master negotiator with a penchant for strategy, Paul Gabens brings more than twenty years of marketing and promotional experience in the automotive, hospitality, and entertainment industries to the Wolfpack. He is also an avid stock and cryptocurrency trader, having first entered into the cryptocurrency market two years ago, embracing his passion for crypto with the same vigor as his love for travel, classic cars, extreme roller coasters, and surfing.
Paul holds degrees in business management, marketing, and automotive aftermarket. He currently resides in the United States with his fiancé and two cats.
Blake Stanley Marketing and Social Media Officer Blake Stanley is a cryptocurrency enthusiast who also has over six years of experience managing both government and private sector client and customer relations. A strategic thinker and expert in the field of social media-based advertising, Blake also owns and manages his own online marketing company where he has been successfully curating and implementing online marketing and advertising strategies for his clients for the past three years.
Blake is a proud father and family man and currently lives in the United States with his daughter and fiancé.
Martin Kilgore Market and Trading Analyst Martin Kilgore holds bachelor’s degrees in both accounting and mathematics, having researched Knot Theory and the Jones Polynomial during his undergraduate studies, giving him a firm edge when analyzing market conditions. He has worked as a staff accountant for several governmental organizations.
Martin lives in the United States with his fiancé.
Jonathan McDonald Chief Trading Strategy Officer Jonathan has honed his trading skills over the past five years by studying and implementing economics, financial strategy, Forex trading analysis and trading bots. Through his constant learning, he discovered Cryptocurrency after seeing the difference in market volatility and high yield trading. His fine-tuned trading strategies complement Crypto markets perfectly, and he has been implementing trading strategies to the Cryptocurrency market for over a year with phenomenal results. Jonathan is constantly improving his trading skills with an emphasis on scalping techniques. He has applied his trading skillset to the WolfpackBOT and enjoys working alongside the Wolfpack in creating the fastest trading bot on the market.
Jonathan currently resides in Canada with his supportive girlfriend and family.
Web site: https://www.wolfpackbot.com/
Technical document: https://www.wolfpackbot.com/Pdf/whitepaper_en.pdf
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How To Trade Multiple Time Frames (The Triple Screen ... Using Multiple Time Frames when Analysing Charts Sam Seiden: Multiple Time Frame Analysis - YouTube Step by step guide to Multiple Timeframe Analysis - YouTube Multiple Time Frame Analysis tradimo

What is Multiple Timeframe Analysis? This strategy follows the price action of a particular currency pair across different time compressions. Since a currency pair moves through multiple timeframes at one time, by studying different timeframes, traders can establish where the pair stands in its trading cycle, on each timeframe. A higher time frame is used to find the overall market direction and a lower time frame is used to find an entry for the trade; The multiple time frame analysis can be used for counter-trend trading. Using multiple time frame analysis helps in combining the benefits of reliability of a higher time frame and also reduces the risk of a lower time ... A complete multiple timeframes analysis in Forex trading always starts with the bigger timeframe first. In other words, instead of a bottom-up analysis, a multiple timeframe analysis is a top/down one. Such an approach has multiple advantages, but the main one is that it offers a clear picture of the market. Any market! Forex Multiple TimeFrames Analysis Summary is an overview of what we covered in previous lessons. To trade with multiple time frame means to look at price movements of the same currency pair on different time frames.. The main chart time frames provided by most brokers are; Starting your analysis on your execution time-frame where you place your trades creates a very narrow and one-dimensional view and it misses the point of the multiple time frame analysis. Traders just adopt a specific market direction or opinion on their lower time-frames and are then just looking for ways to confirm their opinion.

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How To Trade Multiple Time Frames (The Triple Screen ...

Using a multiple time frame trading strategy is an important part of success, but most traders use the wrong time intervals, resulting in late signals that cause their trade setups to fail. In this video you’ll discover: • How to trade using multiple time frames on Forex, stock market or any other financial market • How to use multiple time fram... James Chen - Multiple Time Frame Trading in the Forex Market - Duration: 48:35. ... Multiple Time Frame Analysis - Learn to Trade Forex with cTrader episode 11 - Duration: 14:06. Date of issue: 01 October 2009. Speaker: Sam Seiden. There is a very right way to analyze the Forex markets using multiple time frames and a very wrong way. ... An Explanation of How to Use Multiple Time Frame Analysis http://www.financial-spread-betting.com/course/technical-analysis.html PLEASE LIKE AND SHARE THIS V...

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