Kalkulator Trading Forex - Broker Forex Indonesia

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]

Hibiscus Petroleum Berhad (5199.KL)


https://preview.redd.it/gp18bjnlabr41.jpg?width=768&format=pjpg&auto=webp&s=6054e7f52e8d52da403016139ae43e0e799abf15
Download PDF of this article here: https://docdro.id/6eLgUPo
In light of the recent fall in oil prices due to the Saudi-Russian dispute and dampening demand for oil due to the lockdowns implemented globally, O&G stocks have taken a severe beating, falling approximately 50% from their highs at the beginning of the year. Not spared from this onslaught is Hibiscus Petroleum Berhad (Hibiscus), a listed oil and gas (O&G) exploration and production (E&P) company.
Why invest in O&G stocks in this particularly uncertain period? For one, valuations of these stocks have fallen to multi-year lows, bringing the potential ROI on these stocks to attractive levels. Oil prices are cyclical, and are bound to return to the mean given a sufficiently long time horizon. The trick is to find those companies who can survive through this downturn and emerge into “normal” profitability once oil prices rebound.
In this article, I will explore the upsides and downsides of investing in Hibiscus. I will do my best to cater this report to newcomers to the O&G industry – rather than address exclusively experts and veterans of the O&G sector. As an equity analyst, I aim to provide a view on the company primarily, and will generally refrain from providing macro views on oil or opinions about secular trends of the sector. I hope you enjoy reading it!
Stock code: 5199.KL
Stock name: Hibiscus Petroleum Berhad
Financial information and financial reports: https://www.malaysiastock.biz/Corporate-Infomation.aspx?securityCode=5199
Company website: https://www.hibiscuspetroleum.com/

Company Snapshot

Hibiscus Petroleum Berhad (5199.KL) is an oil and gas (O&G) upstream exploration and production (E&P) company located in Malaysia. As an E&P company, their business can be basically described as:
· looking for oil,
· drawing it out of the ground, and
· selling it on global oil markets.
This means Hibiscus’s profits are particularly exposed to fluctuating oil prices. With oil prices falling to sub-$30 from about $60 at the beginning of the year, Hibiscus’s stock price has also fallen by about 50% YTD – from around RM 1.00 to RM 0.45 (as of 5 April 2020).
https://preview.redd.it/3dqc4jraabr41.png?width=641&format=png&auto=webp&s=7ba0e8614c4e9d781edfc670016a874b90560684
https://preview.redd.it/lvdkrf0cabr41.png?width=356&format=png&auto=webp&s=46f250a713887b06986932fa475dc59c7c28582e
While the company is domiciled in Malaysia, its two main oil producing fields are located in both Malaysia and the UK. The Malaysian oil field is commonly referred to as the North Sabah field, while the UK oil field is commonly referred to as the Anasuria oil field. Hibiscus has licenses to other oil fields in different parts of the world, notably the Marigold/Sunflower oil fields in the UK and the VIC cluster in Australia, but its revenues and profits mainly stem from the former two oil producing fields.
Given that it’s a small player and has only two primary producing oil fields, it’s not surprising that Hibiscus sells its oil to a concentrated pool of customers, with 2 of them representing 80% of its revenues (i.e. Petronas and BP). Fortunately, both these customers are oil supermajors, and are unlikely to default on their obligations despite low oil prices.
At RM 0.45 per share, the market capitalization is RM 714.7m and it has a trailing PE ratio of about 5x. It doesn’t carry any debt, and it hasn’t paid a dividend in its listing history. The MD, Mr. Kenneth Gerard Pereira, owns about 10% of the company’s outstanding shares.

Reserves (Total recoverable oil) & Production (bbl/day)

To begin analyzing the company, it’s necessary to understand a little of the industry jargon. We’ll start with Reserves and Production.
In general, there are three types of categories for a company’s recoverable oil volumes – Reserves, Contingent Resources and Prospective Resources. Reserves are those oil fields which are “commercial”, which is defined as below:
As defined by the SPE PRMS, Reserves are “… quantities of petroleum anticipated to be commercially recoverable by application of development projects to known accumulations from a given date forward under defined conditions.” Therefore, Reserves must be discovered (by drilling, recoverable (with current technology), remaining in the subsurface (at the effective date of the evaluation) and “commercial” based on the development project proposed.)
Note that Reserves are associated with development projects. To be considered as “commercial”, there must be a firm intention to proceed with the project in a reasonable time frame (typically 5 years, and such intention must be based upon all of the following criteria:)
- A reasonable assessment of the future economics of the development project meeting defined investment and operating criteria; - A reasonable expectation that there will be a market for all or at least the expected sales quantities of production required to justify development; - Evidence that the necessary production and transportation facilities are available or can be made available; and - Evidence that legal, contractual, environmental and other social and economic concerns will allow for the actual implementation of the recovery project being evaluated.
Contingent Resources and Prospective Resources are further defined as below:
- Contingent Resources: potentially recoverable volumes associated with a development plan that targets discovered volumes but is not (yet commercial (as defined above); and) - Prospective Resources: potentially recoverable volumes associated with a development plan that targets as yet undiscovered volumes.
In the industry lingo, we generally refer to Reserves as ‘P’ and Contingent Resources as ‘C’. These ‘P’ and ‘C’ resources can be further categorized into 1P/2P/3P resources and 1C/2C/3C resources, each referring to a low/medium/high estimate of the company’s potential recoverable oil volumes:
- Low/1C/1P estimate: there should be reasonable certainty that volumes actually recovered will equal or exceed the estimate; - Best/2C/2P estimate: there should be an equal likelihood of the actual volumes of petroleum being larger or smaller than the estimate; and - High/3C/3P estimate: there is a low probability that the estimate will be exceeded.
Hence in the E&P industry, it is easy to see why most investors and analysts refer to the 2P estimate as the best estimate for a company’s actual recoverable oil volumes. This is because 2P reserves (‘2P’ referring to ‘Proved and Probable’) are a middle estimate of the recoverable oil volumes legally recognized as “commercial”.
However, there’s nothing stopping you from including 2C resources (riskier) or utilizing 1P resources (conservative) as your estimate for total recoverable oil volumes, depending on your risk appetite. In this instance, the company has provided a snapshot of its 2P and 2C resources in its analyst presentation:
https://preview.redd.it/o8qejdyc8br41.png?width=710&format=png&auto=webp&s=b3ab9be8f83badf0206adc982feda3a558d43e78
Basically, what the company is saying here is that by 2021, it will have classified as 2P reserves at least 23.7 million bbl from its Anasuria field and 20.5 million bbl from its North Sabah field – for total 2P reserves of 44.2 million bbl (we are ignoring the Australian VIC cluster as it is only estimated to reach first oil by 2022).
Furthermore, the company is stating that they have discovered (but not yet legally classified as “commercial”) a further 71 million bbl of oil from both the Anasuria and North Sabah fields, as well as the Marigold/Sunflower fields. If we include these 2C resources, the total potential recoverable oil volumes could exceed 100 million bbl.
In this report, we shall explore all valuation scenarios giving consideration to both 2P and 2C resources.
https://preview.redd.it/gk54qplf8br41.png?width=489&format=png&auto=webp&s=c905b7a6328432218b5b9dfd53cc9ef1390bd604
The company further targets a 2021 production rate of 20,000 bbl (LTM: 8,000 bbl), which includes 5,000 bbl from its Anasuria field (LTM: 2,500 bbl) and 7,000 bbl from its North Sabah field (LTM: 5,300 bbl).
This is a substantial increase in forecasted production from both existing and prospective oil fields. If it materializes, annual production rate could be as high as 7,300 mmbbl, and 2021 revenues (given FY20 USD/bbl of $60) could exceed RM 1.5 billion (FY20: RM 988 million).
However, this targeted forecast is quite a stretch from current production levels. Nevertheless, we shall consider all provided information in estimating a valuation for Hibiscus.
To understand Hibiscus’s oil production capacity and forecast its revenues and profits, we need to have a better appreciation of the performance of its two main cash-generating assets – the North Sabah field and the Anasuria field.

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

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

Valuation (Method 1)

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

Valuation (Method 2)

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

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

Financials

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

Risks

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

Opportunities

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

Conclusion

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

MAME 0.215

MAME 0.215

A wild MAME 0.215 appears! Yes, another month has gone by, and it’s time to check out what’s new. On the arcade side, Taito’s incredibly rare 4-screen top-down racer Super Dead Heat is now playable! Joining its ranks are other rarities, such as the European release of Capcom‘s 19XX: The War Against Destiny, and a bootleg of Jaleco’s P-47 – The Freedom Fighter using a different sound system. We’ve got three newly supported Game & Watch titles: Lion, Manhole, and Spitball Sparky, as well as the crystal screen version of Super Mario Bros. Two new JAKKS Pacific TV games, Capcom 3-in-1 and Disney Princesses, have also been added.
Other improvements include several more protection microcontrollers dumped and emulated, the NCR Decision Mate V working (now including hard disk controllers), graphics fixes for the 68k-based SNK and Alpha Denshi games, and some graphical updates to the Super A'Can driver.
We’ve updated bgfx, adding preliminary Vulkan support. There are some issues we’re aware of, so if you run into issues, check our GitHub issues page to see if it’s already known, and report it if it isn’t. We’ve also improved support for building and running on Linux systems without X11.
You can get the source and Windows binary packages from the download page.

MAMETesters Bugs Fixed

New working machines

New working clones

Machines promoted to working

New machines marked as NOT_WORKING

New clones marked as NOT_WORKING

New working software list additions

Software list items promoted to working

New NOT_WORKING software list additions

Source Changes

submitted by cuavas to emulation [link] [comments]

MAME 0.215

MAME 0.215

A wild MAME 0.215 appears! Yes, another month has gone by, and it’s time to check out what’s new. On the arcade side, Taito’s incredibly rare 4-screen top-down racer Super Dead Heat is now playable! Joining its ranks are other rarities, such as the European release of Capcom‘s 19XX: The War Against Destiny, and a bootleg of Jaleco’s P-47 – The Freedom Fighter using a different sound system. We’ve got three newly supported Game & Watch titles: Lion, Manhole, and Spitball Sparky, as well as the crystal screen version of Super Mario Bros. Two new JAKKS Pacific TV games, Capcom 3-in-1 and Disney Princesses, have also been added.
Other improvements include several more protection microcontrollers dumped and emulated, the NCR Decision Mate V working (now including hard disk controllers), graphics fixes for the 68k-based SNK and Alpha Denshi games, and some graphical updates to the Super A'Can driver.
We’ve updated bgfx, adding preliminary Vulkan support. There are some issues we’re aware of, so if you run into issues, check our GitHub issues page to see if it’s already known, and report it if it isn’t. We’ve also improved support for building and running on Linux systems without X11.
You can get the source and Windows binary packages from the download page.

MAMETesters Bugs Fixed

New working machines

New working clones

Machines promoted to working

New machines marked as NOT_WORKING

New clones marked as NOT_WORKING

New working software list additions

Software list items promoted to working

New NOT_WORKING software list additions

Source Changes

submitted by cuavas to MAME [link] [comments]

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  138. OliveMUA
  139. appleswap
  140. expertinayear
  141. malegrooming
  142. AnimeCumtributes
  143. Bar_Prep
  144. Questland
  145. WonderTrade
  146. FCInterMilan
  147. DragonBallLegendsMeta
  148. indianapolis
  149. wedding
  150. LetsPlayCritiques
  151. productivity
  152. newzealand
  153. boardgames
  154. Blackfellas
  155. skrillex
  156. Martingarrix
  157. netsec
  158. harrypotterwu
  159. HindustaniWeeb
  160. Memeulous
  161. cursedcomments
  162. QuackityHQ
  163. meme
  164. MaMovie
  165. CommentAwardsForum
  166. starwarsmemes
  167. lostredditors
  168. whatsthisrock
  169. OopsDidntMeanTo
  170. PokemonTCG
  171. giofilms
  172. askteenboys
  173. bruhmoment
  174. chrome
  175. darkjokes
  176. FullmetalAlchemist
  177. TeenageBoys
  178. TeenAmIUgly
  179. pickuplines
  180. feemagers
  181. dankememes
  182. washingtonwizards
  183. beenagers
  184. Hiphopcirclejerk
  185. LGBTeensGoneMild
  186. danandphil
  187. Thrift
  188. DannyGonzalez
  189. sadcringe
  190. yungblud
  191. MelanieMartinez
  192. heathersmusical
  193. JoanaCeddia
  194. billieeilish
  195. u_ilovebrendonurie_
  196. panicatthedisco
  197. imaginedragons
  198. blursedimages
  199. PETA
  200. highschool
  201. teen_irl
  202. foundthemobileuser
  203. CaptainSparklez
  204. u_SummationNotations
  205. TwentyLetters_NoMore
  206. holdup
  207. SII
  208. DrewGooden
  209. Bloxburg
  210. DragonCity
  211. roblox
  212. LoomianLegacy
  213. u_torpmilk
  214. BadMUAs
  215. askwomenadvice
  216. redditeens
  217. cuteguys
  218. YEET
  219. potato
  220. blessedimages
  221. WeirdSubreddits
  222. u_JustAredditUser69
  223. prolife
  224. lebanon
  225. MinecraftMemes
  226. forhonormemes
  227. entitledparentsmemes
  228. bloodborne_memes
  229. nukedmemes
  230. The_Donald
  231. UnexpectedTF2
  232. NerdMasterislit
  233. HalfLife
  234. photography
  235. u_BobRoss_keepcrits
  236. dank_meme
  237. thedonald
  238. u_Kedi_The_Producer
  239. Polska
  240. redditcultures
  241. shitposting
  242. DestinyFashion
  243. bioniclelego
  244. balisong
  245. DuelLinks
  246. holdmylight
  247. EustachianTubeClick
  248. sexybionicles
  249. HyperX
  250. BreadTapedToTrees
  251. SoulCaliburCreations
  252. DestinyTheGame
  253. DestinyMemes
  254. pokecord
  255. fTeenagers
  256. MakeMeSuffer
  257. PokemonGoFriends
  258. overclocking
  259. wholesomegreentext
  260. u_Jeppebs02
  261. DuckyHub
  262. ani_bm
  263. 2meirl4meirl
  264. mathriddles
  265. lingling40hrs
  266. FortniteCompetitive
  267. DownvotedToOblivion
  268. u_assholicpizzoli
  269. retrogames
  270. youngadults
  271. CyburgerYT_Official
  272. JustSubbed
  273. TeenagersCircleJerk
  274. fuckyoujonah
  275. 2b2t
  276. Vegan_Food
  277. Feminism
  278. dontupdoottheemoji
  279. Snooverse
  280. Undertale
  281. beatsaber
  282. FuckCaillou
  283. u_mariomax2005
  284. LivestreamFail
  285. fortniteaccounts
  286. FreeKarma4U
  287. cakeday
  288. ReuseSchoolwork
  289. Note10Wallpaper
  290. MinecraftHelp
  291. S10wallpapers
  292. CableManagement
  293. TheGalaxyNote10
  294. MechanicalKeyboards
  295. subreddit
  296. 24hoursupport
  297. galaxynote
  298. audio
  299. unexpectedcommunism
  300. AllNighterArmy
  301. u_sikst33n
  302. shittyshowerthoughts
  303. ShowerThoughtsUL
  304. teenagersnewmusic
  305. modhelp
  306. TeenagersButBetter
  307. teenagersnew
  308. notinteresting
  309. Monstercat
  310. cursedcursedcomments
  311. thatsthejoke
  312. AskTeenGirls
  313. FIFA
  314. pennystocks
  315. u_MainRide
  316. u_voloxii
  317. perfectlycutscreams
  318. MrBeast
  319. geocaching
  320. YoungThug
  321. duolingomemes
  322. earlsweatshirt
  323. YoungPeoplePornhub
  324. u_SyrupOnWaffle_
  325. russ
  326. unexpectedmoisture
  327. RealAntiVaxMovement
  328. SandersForPresident
  329. Astroneer
  330. forbiddensnacks
  331. RosemountHighMN
  332. smoobypost
  333. HelicopterAddict
  334. Brawlstars
  335. Sino
  336. iamverybadass
  337. u_moohmad511
  338. TooMeIrlForMeIrl
  339. dontputyourdickinthat
  340. DokkanBattleCommunity
  341. BanPitBulls
  342. GameTheorists
  343. Homophobes
  344. MGTOW
  345. u_RC_G4m1ng
  346. horn
  347. wow
  348. feedthebeast
  349. creepyasterisks
  350. FoodPorn
  351. 5ToubunNoHanayome
  352. pewdiepie
  353. Diepio
  354. ZombielandSaga
  355. MCPE
  356. minecraftsuggestions
  357. Zebra1
  358. 1arbez
  359. BikiniBottomTwitter
  360. u_zeebbbrrrraaaaa1
  361. girlsfrontline
  362. HolUp
  363. hmm
  364. Memes_Of_The_Dank
  365. BeansInThings
  366. egg_irl
  367. schoolsuxrealbad
  368. Slipknot
  369. steelseries
  370. buildapcsales
  371. ClashRoyale
  372. MouseReview
  373. essential
  374. DarlingInTheFranxx
  375. redditmobile
  376. BattlelandsRoyale
  377. AskAnthropology
  378. AskBattlestations
  379. PSVR
  380. RocketLeagueExchange
  381. LogitechG
  382. XIM
  383. battlefield_one
  384. XiM4
  385. DHMIS
  386. Maximilianmus
  387. shittyrainbow6
  388. donniedarko
  389. SongMeanings
  390. indieheads
  391. DiagnoseMe
  392. FiftyFifty
  393. shitpostemblem
  394. Ooer
  395. Pasteurized
  396. StreetFighter
  397. Justfuckmyshitup
  398. United_Chads
  399. MakeNewFriendsHere
  400. Vans
  401. beetlejuicing
  402. Nicegirls
  403. u_AnthropomorphizedYak
  404. Gintama
  405. teengamingnights
  406. SwitchPirates
  407. SwitchHacks
  408. VaporwaveAesthetics
  409. imsorryjon
  410. u_DesuNyanNyan
  411. Im5andthisismacaroni
  412. DesuNyanNyan
  413. Weebagers
  414. me_irlgbt
  415. terriblefandommemes
  416. antimeme
  417. 2wholesome4meirl
  418. PUBGMobile
  419. Mi9T
  420. MSTF1
  421. EatCheapAndHealthy
  422. automationgame
  423. bugs
  424. InternetHistorian
  425. area43
  426. JonWinsTheThrone
  427. dogelore
  428. specializedtools
  429. trypophobia
  430. NIBBBA
  431. backrooms
  432. RBI
  433. BarryVsLarry
  434. mentalillness
  435. misanthropy
  436. DeepIntoYouTube
  437. phonewallpapers
  438. AccidentalRenaissance
  439. PanicAttack
  440. prozac
  441. ipfs
  442. ksi
  443. Sidemen
  444. FRC
  445. CookieClicker
  446. EnterTheGungeon
  447. SaddestCringe
  448. mildlyvagina
  449. fixit
  450. FullScorpion
  451. scpfuel
  452. nevertellmetheodds
  453. shittylifehacks
  454. DarkHumorAndMemes
  455. cat
  456. redditgolddigger
  457. freegold
  458. GoForGold
  459. animememes
  460. hentaidankmemes
  461. CoolBugFacts
  462. firetruckmostertruck
  463. u_Colek1127
  464. thechurchofpoppy
  465. weeatwasps
  466. moist_memes
  467. WeEatBees
  468. SonicTheHedgehog
  469. KDRAMA
  470. Airsoft_UK
  471. plymouth
  472. unexpecteditcrowd
  473. u_diabolicalb3ast
  474. thewalkingdead
  475. forhire
  476. bdoghomieg123
  477. ems
  478. Python
  479. WatchRedditDie
  480. MEOW_IRL
  481. Motocross
  482. Technoblade
  483. DarkJokeCentral
  484. BreadStapledToTrees
  485. u_sockmysocks
  486. deadbydaylight
  487. nocontextpics
  488. discgolf
  489. magicTCG
  490. Catsmirin
  491. astrophotography
  492. suspiciousquotes
  493. texts
  494. NASCAR
  495. androidroot
  496. hittableFaces
  497. FuckHomescapes
  498. HowToHack
  499. hacking
  500. shortcuts
  501. iOSsetups
  502. PixelGun
  503. Drugs
  504. iOSBeta
  505. JelBrek
  506. rage
  507. Sbubbyirl
  508. frogs
  509. Shittypokestops
  510. PokemonGoNewJersey
  511. Fishing
  512. MonsterHunterWorld
  513. friendsafari
  514. u_xProfessionalRetardx
  515. ThiccNibbaInc
  516. TheBoomerFamily
  517. ihavereddit
  518. playrust
  519. playrustcirclejerk
  520. theyknew
  521. JustCause
  522. pcpartpickerbuilds
  523. TechNope
  524. RandomQuestion
  525. nice
  526. LinusTechTips
  527. IdiotsFightingThings
  528. MensRights
  529. nocontext
  530. bootcamp
  531. Tendies
  532. SubsYouFellFor
  533. kauai
  534. electronics
  535. u_That_one_sander
  536. HowDoIRespondToThis
  537. MinecraftBuddies
  538. overlord
  539. MangaCollectors
  540. MeetPeople
  541. CreatorServices
  542. accidentalswastika
  543. slavelabour
  544. translator
  545. youtubestartups
  546. commandandconquer
  547. freesoftware
  548. handbrake
  549. prisonschool
  550. wholesome
  551. xbox
  552. supersmashbros
  553. 3Dmodeling
  554. NewTubers
  555. Scams
  556. netflix
  557. wiiu
  558. TVDetails
  559. notforspelunking
  560. Tetris99
  561. jakanddaxter
  562. u_B00tyC0nsumer69
  563. grissomhighschool
  564. nba
  565. MineralPorn
  566. Miniworlds
  567. theperfectpokemongame
  568. LAClippers
  569. wildbeef
  570. KeanuBeingAwesome
  571. rescuecats
  572. penguin
  573. Zoomies
  574. shiba
  575. Raccoons
  576. u_YeetVegetabales
  577. agt
  578. Davie504
  579. misfits
  580. HeistTeams
  581. TapTitans2
  582. Whataburger
  583. ATT
  584. TeensMeetTeens
  585. razer
  586. USAA
  587. Nitrotype
  588. AnaMains
  589. Shitstatistssay
  590. summonerswar
  591. DestinyLFG
  592. riverdale
  593. superpowereds
  594. Kakegurui
  595. EntitledPeople
  596. rutgers
  597. DragonballLegends
  598. OnePieceTC
  599. DBZDokkanBattle
  600. MortisGang
  601. gaybrosgonemild
  602. Tunisia
  603. YouTube_startups
  604. TwitterFollowers
  605. hackintosh
  606. twitter_memes
  607. YouTubePromoter
  608. SimCity
  609. weather
  610. LowSodiumDestiny
  611. IncreasinglyVerbose
  612. suddenlysexoffender
  613. absolutelynotme_irl
  614. 4PanelCringe
  615. Monk
  616. u_VeryWeirdHumanBeing
  617. thanksihateit
  618. MiniLadd
  619. flatearth
  620. bertstrips
  621. FortniteBattleRoyale
  622. ShrineOfJonesy
  623. custommagic
  624. China
  625. Rowing
  626. CardiganWelshCorgi
  627. GlobalOffensive
  628. AustralianShepherd
  629. montageparodies
  630. seltzer
  631. Hedgehog
  632. wallpaper
  633. TeenagersShitpost
  634. CallOfDuty
  635. ShadowBan
  636. TeensDebate
  637. PoliticalDiscussion
  638. Youbrokethechain
  639. MadeInAbyss
  640. grilledcheese
  641. DidntKnowIWantedThat
  642. httyd
  643. AvengersEndGame
  644. FortniteDisscusion
  645. Kaiserreich
  646. yesyesyesno
  647. puns
  648. u_andrew_982_
  649. orangesbeingbros
  650. geometrydash
  651. ilikemybeatsfast
  652. EmojiPolice
  653. BanVideoGames
  654. Telephoneism
  655. onewordeach
  656. TheRightCantMeme
  657. u_LegendGamer320
  658. Library
  659. BetaLands
  660. MortalKombat
  661. retrogaming
  662. nes
  663. Gameboy
  664. ClassicRock
  665. Tinder
  666. intotheshadowrealm
  667. highdeas
  668. AccidentalThanos
  669. shittymoviedetails
  670. trebuchetmemes
  671. TheOfficialPodcast
  672. Getdownmrpresident
  673. UnethicalLifeProTips
  674. talesfromcavesupport
  675. BattlefieldV
  676. UNCCharlotte
  677. Military
  678. Buddhism
  679. biology
  680. Blackrun
  681. single
  682. PostAndBanned
  683. PedoLogic
  684. wooooosh
  685. gaeilge
  686. woof_irl
  687. u_PeePeePooPooHead69
  688. csgo
  689. AskOujia
  690. YuB
  691. SubsIFellFor
  692. pokemonuranium
  693. familyguy
  694. u_yeetus-Antq
  695. TheOther14mil
  696. badteachers
  697. ExplainAGamePlotBadly
  698. u_mrbro1o1
  699. KrunkerIO
  700. dankmemes2
  701. shieldbro
  702. PSP
  703. collage
  704. Roms
  705. mormon
  706. dirtyvoicechat
  707. Internet
  708. NoFapChristians
  709. MinecraftOne
  710. minecraftseeds
  711. xboxone
  712. FuckMyShitUp
  713. PUBGXboxOne
  714. fourpanelcringe
  715. Dogfree
  716. CanadianHardwareSwap
  717. hardwareswap
  718. MinecraftCommands
  719. prusa3d
  720. Wealthsimple_Trade
  721. redbull
  722. IVBDA
  723. ac_newhorizons
  724. raresuicidebywords
  725. fourredditorsonecup
  726. unexpectedcannibalism
  727. airpods
  728. rimjob_steve
  729. flextapecantfixthat
  730. twentyonepilots
  731. DecreasinglyVerbose
  732. TheRealJoke
  733. UpvotedBecauseButt
  734. redditsings
  735. TwennyWunPilots
  736. iOSthemes
  737. subtleprequelmemes
  738. HarleyQuinn
  739. Niggawhat
  740. Shitty_Car_Mods
  741. subsithoughtifellfor
  742. Voltron
  743. epicmemes
  744. vancouver
  745. Warhammer40k
  746. PokemonXandY
  747. LooksLikeSlazo
  748. IamNumberFour
  749. swrpg
  750. MafiaCityMemes
  751. swtor
  752. RoyaleRecruit
  753. Vaping
  754. pan_media
  755. DestinyLore
  756. FortniteSucks
  757. fightporn
  758. themob
  759. u_GrizzyIy
  760. XXXTENTACION
  761. 4chan
  762. MusicForTeens
  763. tazman595
  764. karma
  765. school
  766. Cancersupportgroup
  767. cancer
  768. SeriousConversation
  769. PeopleAreFckinStupid
  770. JackSucksAtLife
  771. Why
  772. oddlyspecific
  773. oculus
  774. bookclapreviewclap
  775. FixMyPrint
  776. arduino
  777. EtikaRedditNetwork
  778. SmallWitDatHotFiya
  779. 465
  780. idklolihidsomething
  781. hmssss
  782. UsefulMemes
  783. calebfinn
  784. Animal
  785. randomactsofkindness
  786. shy
  787. TomHolland
  788. bulletjournal
  789. shittyfacebookmemes
  790. EmpireDidNothingWrong
  791. OculusQuest
  792. coincidence
  793. chairsunderwater
  794. DecaturHighschoolGA
  795. XXY
  796. Dyslexia
  797. uwutranslator
  798. ContestOfChampions
  799. UsernameChecksOut
  800. unexpectedtrivago
  801. wrongnumber
  802. venmo
  803. IllegalLifeProTips
  804. HitBoxPorn
  805. Shrek
  806. weirdnews
  807. specialed
  808. EndgameSpoilers
  809. specialeducation
  810. antivax
  811. AntiVaxxers
  812. u_purpleyellowpaint
  813. bi_irl
  814. sugarfreemua
  815. lanadelrey
  816. volleyball
  817. muacjdiscussion
  818. ThisButUnironically
  819. ShitLiberalsSay
  820. brokeabone
  821. discord_irl
  822. excitingdystopia
  823. BenBashiroLore
  824. VaushV
  825. ABoringDystopia
  826. FristOfAllHowDareYou
  827. hamsters
  828. SubredditSimMeta
  829. TropicalWeather
  830. Landlord
  831. AntifascistsofReddit
  832. hamstercare
  833. vexillologycirclejerk
  834. therewasnoattempt
  835. ennnnnnnnnnnnbbbbbby
  836. RealSolarSystem
  837. u_CondomCrusader69
  838. band
  839. FlexSealFanClub
  840. Armor
  841. MemeFormats
  842. Puberty
  843. conceptart
  844. CondomKingdom
  845. u_Some16yoLosr
  846. FireEmblemHeroes
  847. FondantLove
  848. LaCrescentMN
  849. u_PugMage101
  850. darkvideos
  851. u_Sadness92
  852. PERSoNA
  853. JacksFilms
  854. jschlatt
  855. castlevania
  856. stfuretard
  857. CloneWarsMemes
  858. DeepFried
  859. legostarwars
  860. u_DVproductions64
  861. KamikazeByWords
  862. ImGoingToHellForThis
  863. linuxmemes
  864. codes
  865. crypto
  866. cpp_questions
  867. Laptop
  868. debian
  869. Kalilinux
  870. PHP
  871. TOR
  872. Doomers
  873. learnpython
  874. RecRoom
  875. orbusvr
  876. VirtualDesktop
  877. bigscreen
  878. ProTubeVR
  879. VRchat
  880. OculusQuestModding
  881. Borderlands2
  882. DeathToBuzzfeed
  883. deadbabyjokes
  884. u_MCT1233
  885. kpop
  886. crystalclear
  887. GIDLE
  888. pokemongoyellow
  889. bidle
  890. unpopularkpopopinions
  891. HermitCraft
  892. ItHadToBeBrazil
  893. grian
  894. MumboJumboYouTube
  895. recycling
  896. usernamefamily
  897. BirdsArentReal
  898. u_Gay_Papa
  899. BSA
  900. u_ConsumeSyrup
  901. ModdedMinecraft
  902. ROBLOXmemes
  903. gangbeasts
  904. Discussion
  905. CrossCountry
  906. fuck
  907. FML
  908. TonightsBigLosers
  909. skeppy
  910. mcservers
  911. pussypassdenied
  912. backgrounds
  913. IsThereASubredditFor
  914. BulletHellMonday
  915. u_whyMYpeepeeGREEN
  916. marchingband
  917. TuberSimulator
  918. FosterTheCirclejerk
  919. GiftofGames
  920. deadmeatjames
  921. AshVsEvilDead
  922. GachaLifeCringe
  923. IntotheDarkHulu
  924. ChernobylMemes
  925. asl
  926. Hong_Kong
  927. vexillology
  928. imaginarymaps
  929. mountaindew
  930. SurrealApprovals
  931. Blessed_Images
  932. Metallica
  933. ainbow
  934. u_Mr-Damaged
  935. SmallYTChannel
  936. skype
  937. FamilyIssues
  938. FellowTeens
  939. MinecraftParodyMemes
  940. BloodyLegends
  941. DankMemes_Circlejerk
  942. cursedminecraftimages
  943. TeenagersUnrelatable
  944. reddeadfashion
  945. reddeadmemes
  946. itswooshwith2os
  947. phones
  948. Fishers
  949. Quizlet_Live_Raids
  950. CutePuppyPics
  951. u_Wakeless_place
  952. SeenElsewhere
  953. GreyStillPlays
  954. LazarBeam
  955. FUCKYOUINPARTICULAR
  956. stein_world
  957. perfectphotos
  958. PhoenixSC
  959. Crayfish
  960. MinecraftVsFortnite
  961. CallOfDutyWorldWarTwo
  962. hypixel
  963. videomemes
  964. KeanuReeves
  965. ubisoft
  966. jacksepticeye
  967. Filmora
  968. montreal
  969. ComradeSShow
  970. InsiderMemeTrading
  971. unnamedfanbase
  972. LoomianLegacyTrading
  973. AnimalCrossingNewLeaf
  974. AdoptMyVillager
  975. papermario
  976. Memeconomy
  977. TooCuteForPorn
  978. ben
  979. GTAV
  980. smplive
  981. galaxybuds
  982. AMCsAList
  983. TwitchClips
  984. Spellbreak
  985. QueerEye
  986. jesuschristouija
  987. u_randomflyingcars
  988. onebag
  989. networking
  990. Dappermemes
  991. CrazyIdeas
  992. hardware
  993. beagle
  994. BoomerTears
  995. keto
  996. european_dankmemes
  997. QuantumSubreddits
  998. TeenMomOGandTeenMom2
  999. WeightLossAdvice
  1000. RLFashionAdvice
  1001. MetalMemes
  1002. systemofadown
  1003. guitarcirclejerk
  1004. drums
  1005. Megadeth
  1006. weightlifting
  1007. gmod
  1008. avengedsevenfold
  1009. airsoftcirclejerk
  1010. paintball
  1011. arma
  1012. joinsquad
  1013. AOC
  1014. fakeobituary
  1015. fuckmanny
  1016. JustBeWhite
  1017. GODUS
  1018. fuckalinity
  1019. adventurerscodex
  1020. slavbot
  1021. Meme_Battles
  1022. u_Trollium2166
  1023. gtavcustoms
  1024. 350z
  1025. Hawaii
  1026. Scootering
  1027. skate3
  1028. bmx
  1029. arizona
  1030. Sunsets
  1031. projectcar
  1032. Mustang
  1033. snowboarding
  1034. Boxing
  1035. u_slyone05
  1036. gank
  1037. ForHonorWuLin
  1038. bruhfunny
  1039. ForHonorRants
  1040. ProjectJojo
  1041. ProGreenStarPlatinum
  1042. fanStands
  1043. nothingeverhappens
  1044. imveryedgy
  1045. stupidquestions
  1046. forhonorknights
  1047. UnexpectedForHonor
  1048. ShootingFishInABarrel
  1049. RubberSoulMains
  1050. JojoHFTF
  1051. UnexpectedJoJo
  1052. undetectedsabaton
  1053. Battlefield
  1054. MillenniumDawn
  1055. fightsticks
  1056. okuyasu_irl
  1057. Stepmania
  1058. WOOOOOOSHED
  1059. shigechi_appreciation
  1060. completelyrealtexts
  1061. SteamScams
  1062. Powerwolf
  1063. u_KindStrangerOnReddit
  1064. PvZHeroes
  1065. Fish
  1066. JuiceWRLD
  1067. Gatorade
  1068. SelfHate
  1069. UgandaKnuckles
  1070. depressed
  1071. walouija
  1072. WeirdQuites
  1073. askdoctors
  1074. u_White0000
  1075. TrollXChromosomes
  1076. NarutoBlazing
  1077. u_Datnotguy17
  1078. howtokeepanidiotbusy
  1079. AyyMD
  1080. Jreg
  1081. wheresMwaldo
  1082. Political_Tumor
  1083. Purdue
  1084. GamingDetails
  1085. Handwriting
  1086. CrossView
  1087. SharedBPM
  1088. test
  1089. Stonetossingjuice
  1090. PictureGame
  1091. explainabookplotbadly
  1092. DuwangGang
  1093. Meemagers
  1094. CallMeCarson
  1095. ToolJerk
  1096. cursedmemes
  1097. virtualbeggar
  1098. left4dead
  1099. bigbangedmemes
  1100. whatintarnation
  1101. comicbookcollecting
  1102. Trophies
  1103. u_lilsusnibba
  1104. subredditwithnorules
  1105. homestuck
  1106. lux
  1107. TeamfightTactics
  1108. Wukongmains
  1109. LeagueofFailures
  1110. LeagueOfMemes
  1111. ezrealmains
  1112. akalimains
  1113. yuumimains
  1114. YIMO
  1115. botlanetinder
  1116. supportlol
  1117. MordekaiserMains
  1118. YasuoMains
  1119. neekomains
  1120. ApheliousMains
  1121. LEMMiNO
  1122. space
  1123. wwiipics
  1124. u_alt_1236
  1125. FiftyFiftyDev
  1126. MercyClub
  1127. Normies
  1128. wooooshwith4os
  1129. DungeonsAndDragons
  1130. spongebob
  1131. FromTheDepths
  1132. SpaceflightSimulator
  1133. BeardedDragons
  1134. Spore
  1135. TeenAstronomy
  1136. HistoryPorn
  1137. u_OneStrikeyBoi
  1138. tylerthecreator
  1139. PictureRap
  1140. CryptoftheNecrodancer
  1141. Teens4Teens
  1142. freenagers
  1143. RamenRegime
  1144. SemenTeam
  1145. Pitland
  1146. insaneparents
  1147. 90DayFiance
  1148. Chinesetourists
  1149. interracialdating
  1150. PutAnEggOnIt
  1151. drawings
  1152. u_kayasphotographs
  1153. mildlycreepy
  1154. likeothergirls
  1155. kahootgames
  1156. PoliticalCompassMemes
  1157. mood
  1158. cfbsober
  1159. TIGoogled
  1160. fsusports
  1161. rolltide
  1162. NewYorkMets
  1163. HuntsvilleAlabama
  1164. nfl
  1165. minnesotavikings
  1166. KarmaCourt
  1167. CFBOffTopic
  1168. Teenageers
  1169. 3BeansAndABeerCap
  1170. popheadscirclejerk
  1171. PuppySmiles
  1172. Komi_san
  1173. freebies
  1174. zerowondering
  1175. 177013
  1176. untrustworthypoptarts
  1177. subredditcancer
  1178. SubwayHentai
  1179. TsundereSharks
  1180. bee_irl
  1181. banned
  1182. LGBTOpenModmail
  1183. u_Rulx8
  1184. The_Dedede
  1185. NintendoWaifus
  1186. pchelp
  1187. SweetHomeAlabama
  1188. SmallYoutubers
  1189. Advertise
  1190. Suddenlybabyimyours
  1191. Lolitary
  1192. PornoMemes
  1193. clevercomebacks
  1194. SpaceMemes
  1195. TankPorn
  1196. AbandonedPorn
  1197. Hbonds
  1198. Jewdank
  1199. LiveLikeLarry
  1200. birdswitharms
  1201. SchoolSystemBroke
  1202. popping
  1203. okboomerretard
  1204. plants
  1205. PhonesAreBad
  1206. SavageGarden
  1207. airplaneears
  1208. shutthefuckup
  1209. mermaids
  1210. OriginalCharacters
  1211. tuckedinkitties
  1212. RoastMyCat
  1213. curledfeetsies
  1214. Hellenism
  1215. yandere_simulator
  1216. catsareliquid
  1217. trichotillomania
  1218. lazarbeamsubmissions
  1219. dark_humor
  1220. fucksauerkraut
  1221. TheBeatles
  1222. produce
  1223. French
  1224. LilPeep
  1225. GitCommitDie
  1226. u_Brisingr_105
  1227. MarioMaker
  1228. gamingsuggestions
  1229. animation
  1230. FortniteCreative
  1231. ShrineOfFishstick
  1232. FortNiteMobile
  1233. FortniteSwitch
  1234. mariokart
  1235. u_Rodolfo20
  1236. jordancambridge
  1237. emu
  1238. beermoney
  1239. badminton
  1240. vlone
  1241. TimHortons
  1242. Repsneakers
  1243. TakashiMurakami
  1244. stamps
  1245. yeezys
  1246. DesignerReps
  1247. Rabbits
  1248. DesignMyRoom
  1249. LegitCheck
  1250. Hypebeasts
  1251. Bape
  1252. bapeheads
  1253. kaws
  1254. painting
  1255. vintage
  1256. insects
  1257. fossilid
  1258. Crystals
  1259. u_HanzAAli
  1260. PixelPeople
  1261. lifeisnotjust
  1262. RedditTrollss
  1263. notsureifgoodadvice
  1264. speedrun
  1265. gtavmodding
  1266. JJBA
  1267. whoooosh
  1268. Conrandom
  1269. Birbs
  1270. u_trash5652
  1271. BattleJackets
  1272. guitarlessons
  1273. virginvschad
  1274. Ghostbc
  1275. oldinternet
  1276. Moomins
  1277. Shuffles_Deck
  1278. Vent
  1279. Sims4
  1280. ShittyAdverts
  1281. saudiarabia
  1282. stopsmoking
  1283. ProRevenge
  1284. yaris
  1285. carporn
  1286. u_ThePinkPanda205
  1287. MadeOfStyrofoam
  1288. 5sos
  1289. GAAB350
  1290. formuladank
  1291. xqcow
  1292. whatsthisworth
  1293. GenZ
  1294. danduscirclejerk
  1295. andyterracianofanclub
  1296. radicalcentrism
  1297. killthosewhodisagree
  1298. onlinemischief
  1299. aromantic
  1300. u_TheAceOfToasters
  1301. javahelp
  1302. TheArcana
  1303. AquaticAsFuck
  1304. JohnMulaney
  1305. Assistance
  1306. doodles
  1307. sadcats
  1308. April11Gang
  1309. tomodachilife
  1310. Chonkers
  1311. Multicopter
  1312. ElectricSkateboarding
  1313. subaru
  1314. radiocontrol
  1315. Battlecars
  1316. CafeRacers
  1317. Jeep
  1318. AwesomeCarMods
  1319. rccars
  1320. whatsthissnake
  1321. CalamariRaceTeam
  1322. HotWheels
  1323. outrun
  1324. FPVvideos
  1325. PraiseTheCameraMan
  1326. saladsmiles
  1327. MobileGaming
  1328. techhelp
  1329. Competitiveoverwatch
  1330. Boblin
  1331. PlayINGRust
  1332. WarframeRunway
  1333. u_haggartt
  1334. earthbound
  1335. VizzedGames
  1336. OldReposts
  1337. misheard
  1338. area51
  1339. sharktank
  1340. awesome
  1341. u_PragatiBuffett
  1342. mediawiki
  1343. robertdowneyjr
  1344. JoJoMemes
  1345. u_Gameman740
  1346. ExpandDong
  1347. KarmaSacrifice
  1348. Minecraftbuilds
  1349. Foodlottery
  1350. MisfitShitposts
  1351. JellesMarbleRuns
  1352. Marblelympics
  1353. u_Donghoon
  1354. DhruvTheKid
  1355. RushWars
  1356. RicoGang
  1357. The4KMegaBox
  1358. shittybrawlstars
  1359. SmashLand
  1360. Cosmic_Clash
  1361. barleygang
  1362. DrMarioWorld
  1363. Archero
  1364. golfblitz
  1365. TickGang
  1366. NewSkaters
  1367. TheLetterH
  1368. Crushes
  1369. KarmaRoulette
  1370. u_Manasveer
  1371. UnexpectedThanos
  1372. depression_memes
  1373. u_Banapple101
  1374. drphil
  1375. ShittyPhotoshop
  1376. ft86
  1377. iilluminaughtii
  1378. showerthoughs
  1379. TheBrotherhoodofBros
  1380. MyBloodyValentine
  1381. SamandTolki
  1382. radiohead
  1383. radioheadcirclejerk
  1384. rantgrumps
  1385. googletranslate
  1386. ConspiracyGrumps
  1387. shoegaze
  1388. MichaelJackson
  1389. ClubPenguin
  1390. Toontown
  1391. rumney_marsh_academy
  1392. saplings
  1393. Pomade
  1394. playboicarti
  1395. Adorable_Animals
  1396. OverwatchUniversity
  1397. u_IOPasGhoulTrooper
  1398. CitadelOfSkins
  1399. heathernotpleased
  1400. comingout
  1401. ShitFortNiteBRSays
  1402. fortniteparentsclub
  1403. Cello
  1404. Golfwang
  1405. EveryoneIsAMod
  1406. LightModePatrol
  1407. JadenSmith
  1408. SuddenlyHitler
  1409. FilthyFrank
  1410. VeronaNJ
  1411. evilbuildings
  1412. cursedvideos
  1413. danktintinmemes
  1414. AwardSpeechEdits
  1415. AgainstHateSubreddits
  1416. deepweb
  1417. TeenagersTalkPolitics
  1418. shortcels
  1419. CURRENCY
  1420. WarriorCats
  1421. thedawnpatrol
  1422. upvote
  1423. theydidthemonstermath
  1424. u_ii_karmakun_ii
  1425. HumanTippyTaps
  1426. SamePicOfSteveHarvey
  1427. onionhate
  1428. redbubble
  1429. Tennessee
  1430. singapore
  1431. NuclearRevenge
  1432. JUSTNOMIL
  1433. jesuschristreddit
  1434. FlashTV
  1435. LegendsOfTomorrow
  1436. westworld
  1437. boringdystopia
  1438. dankjewishmemes
  1439. crazystories
  1440. calculators
  1441. LatinoPeopleTwitter
  1442. Dachshund
  1443. AdrenalinePorn
  1444. Dance
  1445. u_Santolmo
  1446. hardwaregore
  1447. dankgentina
  1448. fake90skids
  1449. reactionpics
  1450. ImagesYouCanHear
  1451. tf2shitposterclub
  1452. Nightmares
  1453. themonkeysotherpaw
  1454. transpositive
  1455. FifaCareers
  1456. PremierLeague
  1457. spiders
  1458. downvotesreally
  1459. coldshowers
  1460. puppy101
  1461. chanceme
  1462. trackandfield
  1463. architecture
  1464. orlando
  1465. ACT
  1466. YeetingKids
  1467. ParentsAreFuckingDumb
  1468. peopleofwalmart
  1469. donaldtrump
  1470. aethism
  1471. Relatable_RC
  1472. NewVegasMemes
  1473. CursedMinecraft
  1474. Area51memes
  1475. admincraft
  1476. fnv
  1477. humblebundles
  1478. blackmagicdesign
  1479. Crouton
  1480. promotereddit
  1481. itplaysit
  1482. youtubecomments
  1483. Ebay
  1484. gamecollecting
  1485. smashmemes
  1486. Mordhau
  1487. namenerds
  1488. greatpyrenees
  1489. sexyoffbrands
  1490. bottlephilia
  1491. u_limeylucio
  1492. sodapoppin
  1493. feminazi
  1494. yiffinhell
  1495. gravityfallsmemes
  1496. rmeme
  1497. u_I_am_Inevitable_Boi
  1498. awardbrag
  1499. redstone
  1500. Lightmodevsdark
  1501. PunPatrol
  1502. CrazyHand
  1503. e46
  1504. EngineBuilding
  1505. E46M3
  1506. Cartalk
  1507. KarmaConspiracy
  1508. MobileWallpaper
  1509. firstworldanarchists
  1510. Tabs
  1511. apolloapp
  1512. futurama
  1513. puzzles
  1514. SundaraKarma
  1515. Dreamers
  1516. programminghelp
  1517. firebrigade
  1518. drumcorpscirclejerk
  1519. fonts
  1520. OverwatchLeague
  1521. ChurchofFroppy
  1522. webhosting
  1523. Wordpress
  1524. PlantsVSZombies
  1525. StreetOutlaws
  1526. lgv30
  1527. Parents
  1528. MarioMaker2
  1529. TheWeeknd
  1530. u_Mind_The_PePe
  1531. DDLCMods
  1532. parrots
  1533. donthelpjustfilm
  1534. AccidentalRacism
  1535. u_Jimcuchim
  1536. Teachers
  1537. Amberlynn
  1538. TaylorSwift
  1539. UnlockedRedditAds
  1540. GTBAE
  1541. TouchThaFishy
  1542. That70sRetard
  1543. Indiana
  1544. ARK
  1545. shitpostbound
  1546. Philippines
  1547. DoctorBright
  1548. goodboys
  1549. blop
  1550. ThatsWhatSheSaid
  1551. watch_dogs
  1552. unexpectedoffice
  1553. birthofasub
  1554. unexpectedskyrim
  1555. Peopleoftwitch
  1556. ModSupport
  1557. CoolPetNames
  1558. amazonreviews
  1559. TwoRedditorsOneCup
  1560. CameHereToSayThis
  1561. WOSH
  1562. smartwatch
  1563. Reddit69420
  1564. u_Its-Ya-Boi-Satan
  1565. Boomer
  1566. InstaPoliceHere
  1567. FanStorytime
  1568. stories
  1569. bullying
  1570. MachineLearning
  1571. redsox
  1572. PrettyGirls
  1573. ChickenRunsAtMidnight
  1574. LimeOfTheCentury
  1575. SnapLenses
  1576. IRLEasterEggs
  1577. garfield
  1578. OkBubbyRetard
  1579. Ascendedfaketexts
  1580. matt
  1581. Patriots
  1582. nonutnovember
  1583. u_u-u_u-u_u
  1584. HeadphoneAdvice
  1585. SequelMemes
  1586. u_2006pow
  1587. YeetlordYT
  1588. CarlTheHedgehog
  1589. tall
  1590. aftergifted
  1591. EUR_irl
  1592. teenmartialarts
  1593. FostTalicska
  1594. u_Hm_Moonlight
  1595. MildlyVandalised
  1596. PhantomForces
  1597. OfficialSlazo
  1598. AJR
  1599. pokemongotrades
  1600. FreePlatinum
  1601. SnowTheGame
  1602. ggggg
  1603. GayTeensGoneMild
  1604. ruralporn
  1605. CityPorn
  1606. Surface
  1607. flightsim
  1608. AndroidWear
  1609. u_GamerWick
  1610. Myles_is_lonely
  1611. u_lesqie
  1612. UnexpectedHamilton
  1613. ComedySeasoning
  1614. AmateurPhotography
  1615. oldpeoplefacebook
  1616. Ticos
  1617. LemonySnicket
  1618. accidentalswastica
  1619. VACCINES
  1620. nealstephenson
  1621. sexualhealth
  1622. Forgotten_Realms
  1623. makeaband
  1624. AskLosAngeles
  1625. musicians
  1626. Guiltygear
  1627. MyHeroAcademiaRPG
  1628. AdventurersLeague
  1629. sallyface
  1630. TikTokCringe
  1631. darkmemes
  1632. EntitledBitch
  1633. Trufemcels
  1634. sad
  1635. PanPorn
  1636. BeautyBoxes
  1637. Ipsy
  1638. u_cottonorwool
  1639. pcmusic
  1640. intermittentfasting
  1641. angry
  1642. socialanxiety
  1643. u_Jumpspider74
  1644. cowboys
  1645. Mavericks
  1646. dolphinconspiracy
  1647. rule34
  1648. ImaginaryHorrors
  1649. DarkDeception
  1650. fuckea
  1651. u_pupperoni-421
  1652. coloringcorruptions
  1653. fbla
  1654. Amd
  1655. ChivalryGame
  1656. DrDisrespectLive
  1657. intel
  1658. esports
  1659. G502MasterRace
  1660. drumcorps
  1661. HeartHorny
  1662. u_crusty_bread_crust
  1663. holesome
  1664. oddlypacific
  1665. maths
  1666. demons
  1667. Physics
  1668. MusicianTeens
  1669. teenagerswithoutrules
  1670. DontPutItInYourAss
  1671. vro
  1672. traadustCrusaders
  1673. yugioh
  1674. BleachBraveSouls
  1675. okayfacebookmemes
  1676. realdonald_forreal
  1677. berserklejerk
  1678. Berserk
  1679. mangarockapp
  1680. MotorcyclePorn
  1681. ExNoContact
  1682. forza
  1683. Thunder
  1684. nbacirclejerk
  1685. ShitMomGroupsSay
  1686. strangehabits
  1687. madladcrusaders
  1688. u_ThatBoi1994
  1689. RedDeadOnline
  1690. u_WitnessMe015
  1691. communism
  1692. AgeplayPenPals
  1693. Poem_for_your_sprog
  1694. Polytopia
  1695. KingdomsandCastles
  1696. u_tarka_d0_sera
  1697. catfaceplant
  1698. AskQuija
  1699. educationalgifs
  1700. Rubiks_Cubes
  1701. u_WCon69
  1702. PoliticalMemes
  1703. Corridor
  1704. postprocessing
  1705. askspain
  1706. Svenska
  1707. buffy
  1708. newjersey
  1709. succulents
  1710. learnspanish
  1711. kimbra
  1712. blackmirror
  1713. john
  1714. asklaw
  1715. CardiB
  1716. ForeverAloneDating
  1717. BruceCampbell
  1718. deadrising
  1719. police
  1720. thebeachboys
  1721. LeavingNeverlandLies
  1722. LeavingNeverlandHBO
  1723. LeavingNeverland
  1724. ForeverAlone
  1725. DownRightAwesome
  1726. ThanosMC
  1727. BigBirdCult
  1728. Fantaisgood
  1729. letsbone
  1730. SuddenlyAnimalAbuse
  1731. G59
  1732. Bexey
  1733. Tupac
  1734. bangladesh
  1735. bodybuilding
  1736. GymMemes
  1737. CowbellyTV
  1738. u_canineswine
  1739. TeenStyle
  1740. short
  1741. BossfightUniverse
  1742. WallpaperRequests
  1743. ibxtoycat
  1744. toycat
  1745. RareEmojis
  1746. expectedSpaceBalls
  1747. shittymcsuggestions
  1748. PokemonGOMemes
  1749. grandayy
  1750. grandpajoehate
  1751. deadmeatmemes
  1752. FanTheories
  1753. CrusadeMemes
  1754. redneckelonmusk
  1755. canconfirmimanaussie
  1756. unexpectedtfs
  1757. SubsIWishWereReal
  1758. iFunny
  1759. wallpapers
  1760. rasdash
  1761. opensource
  1762. raspberry_pi
  1763. grandrapids
  1764. thegrandtour
  1765. DeepFriedLinuxMemes
  1766. Michigan
  1767. Spongebuntu
  1768. Health
  1769. stylish
  1770. supercars
  1771. Autos
  1772. StuffOnCats
  1773. 2healthbars
  1774. mazda
  1775. amishadowbanned
  1776. toronto
  1777. canada
  1778. freevbucks
  1779. AntiAntiAntiAntiJokes
  1780. antiantiantijokes
  1781. Birthdaytwins
  1782. mildyinteresting
  1783. yesyesyesyesyesnoyes
  1784. tifurb
  1785. RoastMyHistory
  1786. badpuns
  1787. Rainforest
  1788. u_EnderCreep72
  1789. TheOutsiders
  1790. JohnWick
  1791. starbase
  1792. GTA
  1793. bully
  1794. MMA
  1795. karate
  1796. india
  1797. StreetFights
  1798. NoglaOfficial
  1799. burgers
  1800. PeterExplainsTheJoke
  1801. amateur_boxing
  1802. Jasiah
  1803. travisscott
  1804. FortnitePhotography
  1805. LilNasX
  1806. FortniteLeaks
  1807. CallMeKevin
  1808. Idubbbz
  1809. memesofthedank
  1810. u_nibbapusspuss69
  1811. FloridaMemes
  1812. Avengers
  1813. cursedjojo
  1814. Csgohacks
  1815. u_insane_playzYT
  1816. SimplyFortnite
  1817. TeachersRFuckingDum
  1818. django
  1819. amipregnant
  1820. IncelTeens
  1821. fuck_r_teenagers
  1822. wherestheredcircle
  1823. MURICA
  1824. SrGrafo
  1825. dev_ed
  1826. TheFutureIsWomen
  1827. TheFutureIsWoman
  1828. TheFutureIsMale
  1829. wewantpornofthis
  1830. BothSidesPolitics
  1831. iamverybedass
  1832. uneducatedopinions
  1833. webdev
  1834. perfectlycutspurts
  1835. u_msterchief82
  1836. hemitite
  1837. ArakiForgot
  1838. SubtoPewDiePieMC
  1839. BirdsForScale
  1840. aLOTofKARMAindays
  1841. honeygetmygun
  1842. thirdsub
  1843. cursed_posts
  1844. MyHeroAcademia
  1845. Meme_colesium
  1846. timetravel
  1847. WordAvalanches
  1848. gravityfalls
  1849. u_Niggword69
  1850. ConfusedBoners
  1851. DonutOperator
  1852. u_DoxxingAngels
  1853. Jazz
  1854. percussion
  1855. WeirdSheep
  1856. BisexualTeens
  1857. Adulting
  1858. MensLib
  1859. NewDM
  1860. Paladins
  1861. CountOnceADay
  1862. TheOnionUnlimited
  1863. ComedyFlogging
  1864. FuckNestle
  1865. 8BitGang
  1866. FrankGang
  1867. ColtGang
  1868. yescompanionimbecil
  1869. ChurchOfMineta
  1870. YouFellForItFool
  1871. Super_Cube_Cavern
  1872. dynamikegang
  1873. ZoeIsYourHomie
  1874. u_PlusTrash7
  1875. ZaryaMains
  1876. SleepingSoulmates
  1877. JunkRatMains
  1878. Awww
  1879. RoadhogMains
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Futures Scalping - Trading Futures with a 4k Tick Chart ... Fortrade's Pip Value Calculator Binary Options vs. Forex - Which Is Better? You Decide Forex Trading: USD/INR: Best Trading Strategy: Live Chart ... DERIVATIVES & FOREX IMPORTANT CALCULATOR TRICK FOR CA FINAL SFM How to Determine Forex Entry Point With Confirmation - YouTube

Below is forex return of investment calculator: ROI in trading represents the benefit of an investment that is divided by the invested money cost.If the trader invested $1000 in his account, he made a $400 profit, then the return of investment in trading would be $400/$1000=0.4 or 40%. Online Forex Trading provides you much higher utilization than playing the Futures Market. However, in the Futures Market, you can likewise get or sell options on futures, which increase your leverage. Take advantage of can be very crucial when you know what money is most likely to do. You can achieve 200:1 as well as greater in Foreign exchange Trades compared to much less in Futures. This ... Forex Calculator; FOREX TRADING CALCULATORS. Pergunakan kalkulator profit/loss berikut untuk membantu Anda memperkirakan potensi profit atau loss dalam setiap transaksi yang akan Anda lakukan. Pilih mata uang (currency) dan currency pair, masukkan harga open dan rencana harga close, pilih posisi buy atau sell, kemudian masukkan ukuran lot, dan klik tombol calculate. *Kalkulator ini hanya untuk ... Clearsave has a range of different forex trading accounts with varying benefits and spreads. You can choose the trading account that is best for you. Shared accounts are also available. ACCOUNT TYPES. Saving Account. Trade with Clearsave . With full access to more than 200 financial instruments, clients can trade forex, spot metals, stocks, futures, spot indices and commodities with best-of ... Below is payoff ratio calculator: The payoff ratio or the profit/loss ratio is the portfolio average profit per trade divided by the average loss per trade. Payoff ratio, in simple words, is the ratio between the size of the win and the size of the loss. If we have higher values – the portfolio performance is better. Forex Trading calculator to convert spot currency rates to currency futures and vice versa. We also offer tools for currency trading, original forex forum, real-time fx rates, forex news, forex brokers and more. Risk Disclosure: Futures and forex trading contains substantial risk and is not for every investor. An investor could potentially lose all or more than the initial investment. Risk capital is money that can be lost without jeopardizing ones’ financial security or life style. Only risk capital should be used for trading and only those with sufficient risk capital should consider trading. Past ...

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Futures Scalping - Trading Futures with a 4k Tick Chart ...

In this futures scalping video, Rose shows you how she scalped Oct 25 S&P 500 during market hours, in the first trade session. I went in the market with a pl... Very easy to calculate. If you would like to learn more about forex and binary options, I encourage you to join my two different Facebook groups for each. For my forex group, Forex and Futures ... In this video, we discussed the Trading Strategy of USD/INR. By using this simple trading technique we will easily earn a very good profit. We will analyse t... Forex Basics - Lot Sizes, Risk vs. Reward, Counting Pips - Duration: 36:25. Kingdom Kash 276,580 views. 36:25. HOW TO CALCULATE PIPS, PROFIT & PIP VALUE IN FOREX TRADING (FORMULA & EXAMPLES ... How to enter a trade in forex trading? Your forex entry confirmation is needed to help you determine the best entry point and help you determine your forex e... CHAPTER-WISE CLASSES AVAILABLE CALL 9977223599, 9977213599 [email protected] GO TO WEBSITE https://www.pavansirsfmclasses.com/

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