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Why a Live Forex Chart is important For Traders

There are two common theories as far as live forex charts are concerned: The first is by the many forex traders who believe that live forex charts can never be used to win in a forex trade simply because they rely on demand and supply fundamentals. On the other hand, some investors believe that live forex graphs are a mirror reflection to a human mind; they are constant but prices can be predicted. Which is a fact and which is not? Forex Brokers Reviews
The truth is that live currency graphs work and deliver results. There is however one common misconception that must be cleared even before we get into how live currency charts work. Contrary to common belief, live charts are not used as tools to predict future variations in pair prices. The truth is that unlike scientific theories, prices are not determined by fixed aspects. If this was the case, live charts would be very predictable, and there would be no point in trade in foreign exchange, would there? This, however, does not mean that live charts are not useful to the foreign exchange trade. As a matter of fact, live forex tables are some of the most important tools in use in foreign exchange trading. Combined with technical analysis, live currency graphs can be some of the most valuable assets an exchange trader can have in the business.
With the help of live forex charts, you can know the moving averages and when the price has gone above or below. Day trading does not require much analysis apart from some real time history of price movements. It is a vital tool in a seasoned trader's toolbox and the newbie simply cannot do without it. Getting technical indicators upfront in real time has come as a big boon to online forex traders coast to coast. forex broker review
With live charts you can identify when the market has entered an overbought zone with the help of RSI. To enter and exit a trade and also for working on multiple indicators, you need live charts to guide you through. If two indicators like the RSI and MACD indicate buy signals, then you could buy and forex market requires taking decisions in a flash. To make profits and keep losses to the minimum, use forex live chart.
The live forex chart is a lifeline for the day trader wanting to close positions within a matter of a few minutes or hours. Usually a long term investor in the forex market does not need live charts, but day traders require keeping tabs on price changes by the minute. Top Rated Forex Brokers
Traders depend solely on the chart prices to plan their moves and they have to be real time stuff to be of any use. Depending on what type of trade you would be doing, you should select the right software for viewing forex charts. You can monitor every single move the currency pair makes as well as keep track of technical indicators.
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submitted by Sure_Statistician384 to u/Sure_Statistician384 [link] [comments]

H1 Backtest of ParallaxFX's BBStoch system

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

Background

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

System Details

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

And now for the fun. Results!

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

A Note on Spread

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

Time of Day

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

Moving stops up to breakeven

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

2-Candle vs Confirmation Candle Stops

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

Correlated Trades

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

What I will trade

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

Other Technical Details

Raw Data

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

Insanely detailed spreadsheet notes

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

Pairs

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

TL;DR

Based on the reasonable rules I discovered in this backtest:

Demo Trading Results

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

Live Trading Results

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

I like my numbers how I like my men

Hard.
Following up on my post about trading economic news, here are some hard numbers about news releases. If you can't be bothered to read any further, just know that a high S value means there is money to be made by trading the release of that economic metric.
I collected historical data (consensus and actual) for each of these economic metrics from January 2018 to the present. These are mostly monthly metrics; one is quarterly, one is biweekly, and one is weekly. I did this manually from an economic news aggregation website because I'm too cheap to pay for exported data. I also noted whether each release was the primary (or only) news being released at that precise moment or whether there were other important economic metrics being released at the same time.
Then I wrote software to fetch 2 minutes of USD/JPY price data (in 5 second candles) starting at the time of each release and correlated each candle to the "surprise" in the metric (the difference between the consensus and the actual). That produced data for each metric that looks like this and give you an idea how reliably the news predicts the short-term price move.
Next the software went back through the price history and measured the "coordinated movement" of the currency pair during each candle. By that I mean it measured the size of each candle in pips and then set the sign to be positive if its moving in the same direction as the first candle or negative otherwise, and averaged all those numbers together. These charts look like this and give you an idea how dramatically the price moves in response to the news.
Then, for each candle, the absolute value of the correlation is multiplied against the coordinated movement, creating a "tradeability" score. The idea is that a strong (positive or negative) correlation and a strong coordinated movement yields a high score, and either a weak correlation or a small price movement yields a low score. These charts look like this.
Finally, for each news release I measured the maximum value of the correlation (R) and the maximum value of the tradeability score (S). Since I don't have access to anything with finer granularity than 5 seconds, it's no surprise that candle 0 had the maximum correlation and maximum tradeability for each metric.
I did this process twice for every metric: first over all releases and second over only those releases that were the primary or only release happening at that moment. I kept the results from the one that returned the better net maximum tradeability score. The net maximum tradeability score is just the product of the maximum tradeability score and the number of releases being considered, either all of them or some smaller number. (This helps avoid bias in the results for metrics that are often released at the same time as other metrics.)
In the results linked at the top of this post, the metrics are ordered by decreasing maximum tradeability score (S) with maximum correlation (R) also shown. Remember, R = +1 means perfect positive linear correlation, R = -1 means perfect negative linear correlation, and R = 0 means no correlation. S values less than 3 are essentially untradeable due to the spread.
A couple notes:
It takes me about 15 minutes to scrape 2 years of monthly data by hand and type it up, and then the software takes about 10 seconds to run per metric. If there are regular forecasted economic releases that you'd like to see correlated and scored, let me know! I can do other currency pairs and other country's economic news as well, it's just a matter of data collection.
submitted by thicc_dads_club to Forex [link] [comments]

What factors predict the success of a Steam game? (An analysis)

What factors predict the success of a Steam game?

I've seen quite a few discussions, comments and questions on /gamedev about what determines a game's success. How much does quality matter? Is establishing market awareness before launch the only thing that matters? Does a demo help or hurt? If your game has a poor launch, how likely is it to recover? Is it possible to roughly predict the sales of a game before launch?
In preparation for my game's launch, I spent a lot of time monitoring upcoming releases trying to find the answer to these questions. I compiled a spreadsheet, noted followers, whether it was Early Access or not, and saw how many reviews it received in the first week, month and quarter.
I'm sharing this data now in the hopes that it helps other developers understand and predict their games' sales.
First some notes on the data:
Game Price Launch Discount Week Guess Week actual 3 Month 3 Month/week Followers Early Access Demo Review Score
Pit of Doom 9.99 0 7 27 43 1.592592593 295 Y N 0.8
Citrouille 9.99 0.2 16 8 12 1.5 226 N N
Corspe Party: Book 14.99 0.1 32 40 79 1.975 1015 N N 0.95
Call of Cthulhu 44.99 0 800 875 1595 1.822857143 26600 N N 0.74
On Space 0.99 0.4 0 0 0 4 N N
Orphan 14.99 0 50 0 8 732 N N
Black Bird 19.99 0 20 13 34 2.615384615 227 N N
Gloom 6.99 0 20 8 17 2.125 159 N N
Gilded Rails 5.99 0.35 2 3 7 2.333333333 11 N Y
The Quiet Man 14.99 0.1 120 207 296 1.429951691 5596 N N 0.31
KartKraft 19.99 0.1 150 90 223 2.477777778 7691 Y N 0.84
The Other Half 7.99 0 2 3 27 9 91 N Y 0.86
Parabolus 14.99 0.15 0 0 0 16 N Y
Yet Another Tower Defense 1.99 0.4 20 22 38 1.727272727 396 N N 0.65
Galaxy Squad 9.99 0.25 8 42 5.25 3741 Y N 0.87
Swords and Soldiers 2 14.99 0.1 65 36 63 1.75 1742 N N 0.84
SpitKiss 2.99 0 3 1 2 2 63 N N
Holy Potatoes 14.99 0 24 11 22 2 617 N N 0.7
Kursk 29.99 0.15 90 62 98 1.580645161 2394 N N 0.57
SimpleRockets 2 14.99 0.15 90 142 272 1.915492958 3441 Y N 0.85
Egress 14.99 0.15 160 44 75 1.704545455 7304 Y N 0.67
Kynseed 9.99 0 600 128 237 1.8515625 12984 Y N 0.86
11-11 Memories 29.99 0 30 10 69 6.9 767 N N 0.96
Rage in Peace 12.99 0.1 15 10 42 4.2 377 N N 0.85
One Hour One Life 19.99 0 12 153 708 4.62745098 573 N N 0.81
Optica 9.99 0 0 2 3 1.5 18 N N
Cybarian 5.99 0.15 8 4 18 4.5 225 N N
Zeon 25 3.99 0.3 3 11 12 1.090909091 82 Y N
Of Gods and Men 7.99 0.4 3 10 18 1.8 111 N Y
Welcome to Princeland 4.99 0.1 1 15 55 3.666666667 30 N N 0.85
Zero Caliber VR 24.99 0.1 100 169 420 2.485207101 5569 Y N 0.73
HellSign 14.99 0 100 131 334 2.549618321 3360 Y N 0.85
Thief Simulator 19.99 0.15 400 622 1867 3.001607717 10670 N N 0.81
Last Stanza 7.99 0.1 8 2 4 2 228 N Y
Evil Bank Manager 11.99 0.1 106 460 4.339622642 8147 Y N 0.78
Oppai Puzzle 0.99 0.3 36 93 2.583333333 54 N N 0.92
Hexen Hegemony 9.99 0.15 3 1 5 5 55 Y N
Blokin 2.99 0 0 0 0 0 10 N N
Light Fairytale Ep 1 9.99 0.1 80 23 54 2.347826087 4694 Y N 0.89
The Last Sphinx 2.99 0.1 0 0 1 0 17 N N
Glassteroids 9.99 0.2 0 0 0 0 5 Y N
Hitman 2 59.99 0 2000 2653 3677 1.385978138 52226 N N 0.88
Golf Peaks 4.99 0.1 1 8 25 3.125 46 N N 1
Sipho 13.99 0 24 5 14 2.8 665 Y N
Distraint 2 8.99 0.1 40 104 321 3.086538462 1799 N N 0.97
Healing Harem 12.99 0.1 24 10 15 1.5 605 N N
Spark Five 2.99 0.3 0 0 0 0 7 N N
Bad Dream: Fever 9.99 0.2 30 78 134 1.717948718 907 N N 0.72
Underworld Ascendant 29.99 0.15 200 216 288 1.333333333 8870 N N 0.34
Reentry 19.99 0.15 8 24 78 3.25 202 Y N 0.95
Zvezda 5.99 0 2 0 0 0 25 Y Y
Space Gladiator 2.99 0 0 1 2 2 5 N N
Bad North 14.99 0.1 500 360 739 2.052777778 15908 N N 0.8
Sanctus Mortem 9.99 0.15 3 3 3 1 84 N Y
The Occluder 1.99 0.2 1 1 1 1 13 N N
Dark Fantasy: Jigsaw 2.99 0.2 1 9 36 4 32 N N 0.91
Farming Simulator 19 34.99 0 1500 3895 5759 1.478562259 37478 N N 0.76
Don't Forget Our Esports Dream 14.99 0.13 3 16 22 1.375 150 N N 1
Space Toads Mayhem 3.99 0.15 1 2 3 1.5 18 N N
Cattle Call 11.99 0.1 10 19 53 2.789473684 250 Y N 0.71
Ralf 9.99 0.2 0 0 2 0 6 N N
Elite Archery 0.99 0.4 0 2 3 1.5 5 Y N
Evidence of Life 4.99 0 0 2 4 2 10 N N
Trinity VR 4.99 0 2 8 15 1.875 61 N N
Quiet as a Stone 9.99 0.1 1 1 4 4 42 N N
Overdungeon 14.99 0 3 86 572 6.651162791 77 Y N 0.91
Protocol 24.99 0.15 60 41 117 2.853658537 1764 N N 0.68
Scraper: First Strike 29.99 0 3 3 15 5 69 N N
Experiment Gone Rogue 16.99 0 1 1 5 5 27 Y N
Emerald Shores 9.99 0.2 0 1 2 2 12 N N
Age of Civilizations II 4.99 0 600 1109 2733 2.464382326 18568 N N 0.82
Dereliction 4.99 0 0 0 0 #DIV/0! 18 N N
Poopy Philosophy 0.99 0 0 6 10 1.666666667 6 N N
NOCE 17.99 0.1 1 3 4 1.333333333 35 N N
Qu-tros 2.99 0.4 0 3 7 2.333333333 4 N N
Mosaics Galore. Challenging Journey 4.99 0.2 1 1 8 8 14 N N
Zquirrels Jump 2.99 0.4 0 1 4 4 9 N N
Dark Siders III 59.99 0 2400 1721 2708 1.573503777 85498 N N 0.67
R-Type Dimensions Ex 14.99 0.2 10 48 64 1.333333333 278 N N 0.92
Artifact 19.99 0 7000 9700 16584 1.709690722 140000 N N 0.53
Crimson Keep 14.99 0.15 20 5 6 1.2 367 N N
Rival Megagun 14.99 0 35 26 31 1.192307692 818 N N
Santa's Workshop 1.99 0.1 3 1 1 1 8 N N
Hentai Shadow 1.99 0.3 2 12 6 14 N N
Ricky Runner 12.99 0.3 3 6 13 2.166666667 66 Y N 0.87
Pro Fishing Simulator 39.99 0.15 24 20 19 0.95 609 N N 0.22
Broken Reality 14.99 0.1 60 58 138 2.379310345 1313 N Y 0.98
Rapture Rejects 19.99 0 200 82 151 1.841463415 9250 Y N 0.64
Lost Cave 19.99 0 3 8 11 1.375 43 Y N
Epic Battle Fantasy 5 14.99 0 300 395 896 2.26835443 4236 N N 0.97
Ride 3 49.99 0 75 161 371 2.304347826 1951 N N 0.74
Escape Doodland 9.99 0.2 25 16 19 1.1875 1542 N N
Hillbilly Apocalypse 5.99 0.1 0 1 2 2 8 N N
X4 49.99 0 1500 2638 4303 1.63115997 38152 N N 0.7
Splotches 9.99 0.15 0 2 1 0.5 10 N N
Above the Fold 13.99 0.15 5 2 6 3 65 Y N
The Seven Chambers 12.99 0.3 3 0 0 #DIV/0! 55 N N
Terminal Conflict 29.99 0 5 4 11 2.75 125 Y N
Just Cause 4 59.99 0 2400 2083 3500 1.680268843 50000 N N 0.34
Grapple Force Rena 14.99 0 11 12 29 2.416666667 321 N Y
Beholder 2 14.99 0.1 479 950 1.983298539 16000 N N 0.84
Blueprint Word 1.99 0 12 15 1.25 244 N Y
Aeon of Sands 19.99 0.1 20 12 25 2.083333333 320 N N
Oakwood 4.99 0.1 32 68 2.125 70 N N 0.82
Endhall 4.99 0 4 22 42 1.909090909 79 N N 0.84
Dr. Cares - Family Practice 12.99 0.25 6 3 8 2.666666667 39 N N
Treasure Hunter 16.99 0.15 200 196 252 1.285714286 4835 N N 0.6
Forex Trading 1.99 0.4 7 10 14 1.4 209 N N
Ancient Frontier 14.99 0 24 5 16 3.2 389 N N
Fear the Night 14.99 0.25 25 201 440 2.189054726 835 Y N 0.65
Subterraneus 12.99 0.1 4 0 3 #DIV/0! 82 N N
Starcom: Nexus 14.99 0.15 53 119 2.245283019 1140 Y N 0.93
Subject 264 14.99 0.2 25 2 3 1.5 800 N N
Gris 16.9 0 100 1484 4650 3.133423181 5779 N N 0.96
Exiled to the Void 7.99 0.3 9 4 11 2.75 84 Y N
Column Explanations
For the columns that are not self-explanatory:

Question 1: Does Quality Predict Success?

There was a recent blog post stating that the #1 metric for indie games' success is how good it is.
Quality is obviously a subjective metric. The most obvious objective measure of quality for Steam games is their % Favorable Review score. This is the percentage of reviews by purchasers of the game that gave the game a positive rating. I excluded any game that did not have at least 20 user reviews in the first month, which limited the sample size to 56.
The (Pearson) correlation of a game's review score to its number of reviews three months after its release was -0.2. But 0.2 (plus or minus) isn't a very strong correlation at all. More importantly, Pearson correlation can be swayed if the data contains some big outliers. Looking at the actual games, we can see that the difference is an artifact of an outlier. Literally. Valve's Artifact by far had the most reviews after three months and had one of the lowest review scores (53% at the time). Removing this game from the data changed the correlation to essentially zero.
Spearman's Rho, an alternative correlation model that correlates rank position and minimizes the effect of huge outliers produced a similar result.
Conclusion: If there is correlation between a game's quality (as measured by Steam review score) and first quarter sales (as measured by total review count), it is too subtle to be detected in this data.

Question 2: Do Demos, Early Access or Launch Discounts Affect Success/Failure?

Unfortunately, there were so few games that had demos prior to release (10) that only a very strong correlation would really tell us anything. As it happens, there was no meaningful correlation one way or another.
There were more Early Access titles (28), but again the correlation was too small to be meaningful.
More than half the titles had a launch week discount and there was actually a moderate negative correlation of -0.3 between having a launch discount and first week review count. However it appears that this is primarily the result of the tendency of AAA titles (which sell the most copies) to not do launch discounts. Removing the titles that likely grossed over a $1 million in the first week reduced the correlation to basically zero.
Conclusion: Insufficient data. No clear correlation between demos, Early Access or launch discount and review counts: if they help or hurt the effect is not consistent enough to be seen here.

Question 3: Does pre-launch awareness (i.e., Steam followers) predict success?

You can see the number of "followers" for any game on Steam by searching for its automatically-created Community Group. Prior to launch, this is a good rough indicator of market awareness.
The correlation between group followers shortly before launch and review count at 3 months was 0.89. That's a very strong positive correlation. The rank correlation was also high (0.85) suggesting that this wasn't the result of a few highly anticipated games.
Save for a single outlier (discussed later), the ratio of 3 month review counts to pre-launch followers ranged from 0 (for the handful of games that never received any reviews) to 1.8, with a median value of 0.1. If you have 1000 followers just prior to launch, then at the end of the first quarter you should expect "about" 100 reviews.
One thing I noticed was that there were a few games that had follower counts that seemed too high compared to secondary indicators of market awareness, such as discussion forum threads and Twitter engagement. After some investigation I came to the conclusion that pre-launch key activations are treated as followers by Steam. If a game gave away a lot of Steam keys before launch (say as Kickstarter rewards or part of beta testing) this would cause the game to appear to have more followers than it had gained "organically."
Conclusion: Organic followers prior to launch are a strong predictor of a game's eventual success.

Question 4: What about price?

The correlation between price and review count at 3 month is 0.36, which is moderate correlation. I'm not sure how useful that data point is: it is somewhat obvious that higher budget games have larger marketing budgets.
There is a correlation between price and review score of -0.41. It seems likely that players do factor price into their reviews and a game priced at $60 has a higher bar to clear to earn a thumbs up review than a game priced at $10.

Question 5: Do first week sales predict first quarter results?

The correlation between number of reviews after 1 week and number of reviews after 3 months was 0.99. The Spearman correlation was 0.97. This is the highest correlation I found in the data.
Excluding games that sold very few copies (fewer than 5 reviews after the first week), most games had around twice as many reviews after 3 months as they did after 1 week. This suggests that games sell about as many copies in their first week as they do in the next 12 weeks combined. The vast majority of games had a tail ratio (ratio of reviews at 3 months to 1 week) of between 1.3 to 3.2.
I have seen a number of questions from developers whose game had a poor launch on Steam and wanted to know what they can do to improve sales. While I'm certain post-launch marketing can have an effect on continuing sales, your first week does seem to set hard bounds on your results.
Conclusion: ALL SIGNS POINT TO YES

Question 6: Does Quality Help with a Game's "Tail"?

As discussed in the last question while first week sales are very strongly correlated with first quarter, there's still quite a wide range of ratios. Defining a game's Tail Ratio as the ratio of reviews after 3 months to after 1 week, the lowest value was 0.95 for "Pro Fishing Simulator" which actually managed to lose 1 review. The highest ratio was 6.9, an extreme outlier that I'll talk about later. It is perhaps not a coincidence that the worst tail had a Steam score of 22% and the best tail had a Steam score of 96%.
The overall correlation between the Tail Ratio and Steam score was 0.42.
Conclusion: Even though there is no clear correlation between quality and overall review count/sales, there is a moderate correlation between a game's review score and its tail. This suggests that "good games" do better in the long run than "bad games," but the effect is small compared to the more important factor of pre-launch awareness.

Question 7: Is it possible to predict a game's success before launch without knowing its wishlists?

While I was compiling the data for each game, sometime prior to its scheduled launch date, I would make a prediction of how many reviews I thought it would receive in its first week and add that prediction to the spreadsheet.
The #1 factor I used in making my prediction was group follower count. In some cases I would adjust my prediction if I thought that value was off, using secondary sources such as Steam forum activity and Twitter engagement.
The correlation between my guess and the actual value was 0.96, which is a very strong correlation. As you can see in the data, the predictions are, for the most part, in the right ballpack with a few cases where I was way off.
Based on my experience, multiplying the group follower count by 0.1 will, in most cases, give you a ballpark sense of the first week quarter review count. If a game doesn't have at least one question in the discussion forum for every 100 followers, that may indicate that there are large number of "inorganic" followers and you may need to adjust your estimate.
Conclusion: Yes, with a few exceptions, using follower data and other indicators you can predict first week results approximately. Given the strong correlation between first week and quarter sales, it should also be possible to have a ballpark idea of first quarter results before launch.

Final Question: What about the outliers you mentioned?

There were a few games in the data that stood out significantly in one way or another.
Outlier #1: Overdungeon. This game had 77 group followers shortly before launch, a fairly small number and based solely on that number I would have expected fewer than a dozen reviews in the first week. It ended up with 86. Not only that, it had a strong tail and finished its first quarter with 572 reviews. This was by a wide margin the highest review count to follower ratio in the sample.
Based on the reviews, it appears to basically be Slay the Spire, but huge in Asia. 90% of the reviews seem to be in Japanese or Chinese. If anyone has some insight to this game's unusual apparent success, I'm very curious.
This seems to be the only clear example in the data of a game with minimal following prior to launch going on to having a solid first quarter.
Outlier #2: 11-11 Memories Retold. This game had 767 group followers shortly before launch, ten times as many as Overdungeon. That's still not a large number for even a small indie title. It had a fair amount going for it, though: it was directed by Yoan Fanise, who co-directed the critally acclaimed Valiant Hearts, a game with a similar theme. It was animated by Aardman Studios of "Wallace and Gromit" fame. Its publisher was Bandai Namco Europe, a not inexperienced publisher. The voice acting was by Sebastian Koch and Elijah Wood. It has dozens of good reviews in both gaming and traditional press. It currently has a 95% positive review rating on Steam.
Despite all that, nobody bought it. 24 hours after it came out it had literally zero reviews on Steam. One week after it came out it had just 10. Three months later it had demonstrated the largest tail in the data, but even then it had only climbed to 69 reviews. Now it's at about 100, an incredible tail ratio, but almost certainly a commercial failure.
This is a solid example that good game + good production values does necessarily equal good sales.

Final notes:
The big take-aways from this analysis are:
Thanks for reading!
submitted by justkevin to gamedev [link] [comments]

Binary options signals, for what?

Binary options signals, for what?
The binary option trading is a somewhat new device for producing funds, this is why it scares beginner investors. Numerous signs, intricate charts and many dishonest brokers make understanding binary alternatives very hard.
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https://preview.redd.it/acjkcuybwqd51.jpg?width=2560&format=pjpg&auto=webp&s=0318dc266e92992a61875b8d816a405013dceffa
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On our website, you will find the essential resources for that amateur forex trader. It is essential to understand that the beginning of trading is the study of theory, and only then exercise and look for ideal equipment.
submitted by vfxAlert to u/vfxAlert [link] [comments]

Finding Trading Edges: Where to Get High R:R trades and Profit Potential of Them.

Finding Trading Edges: Where to Get High R:R trades and Profit Potential of Them.
TL;DR - I will try and flip an account from $50 or less to $1,000 over 2019. I will post all my account details so my strategy can be seen/copied. I will do this using only three or four trading setups. All of which are simple enough to learn. I will start trading on 10th January.
----
As I see it there are two mains ways to understand how to make money in the markets. The first is to know what the biggest winners in the markets are doing and duplicating what they do. This is hard. Most of the biggest players will not publicly tell people what they are doing. You need to be able to kinda slide in with them and see if you can pick up some info. Not suitable for most people, takes a lot of networking and even then you have to be able to make the correct inferences.
Another way is to know the most common trades of losing traders and then be on the other side of their common mistakes. This is usually far easier, usually everyone knows the mind of a losing trader. I learned about what losing traders do every day by being one of them for many years. I noticed I had an some sort of affinity for buying at the very top of moves and selling at the very bottom. This sucked, however, is was obvious there was winning trades on the other side of what I was doing and the adjustments to be a good trader were small (albeit, tricky).
Thus began the study for entries and maximum risk:reward. See, there have been times I have bought aiming for a 10 pip scalps and hit 100 pips stops loss. Hell, there have been times I was going for 5 pips and hit 100 stop out. This can seem discouraging, but it does mean there must be 1:10 risk:reward pay-off on the other side of these mistakes, and they were mistakes.
If you repeatedly enter and exit at the wrong times, you are making mistakes and probably the same ones over and over again. The market is tricking you! There are specific ways in which price moves that compel people to make these mistakes (I won’t go into this in this post, because it takes too long and this is going to be a long post anyway, but a lot of this is FOMO).
Making mistakes is okay. In fact, as I see it, making mistakes is an essential part of becoming an expert. Making a mistake enough times to understand intrinsically why it is a mistake and then make the required adjustments. Understanding at a deep level why you trade the way you do and why others make the mistakes they do, is an important part of becoming an expert in your chosen area of focus.
I could talk more on these concepts, but to keep the length of the post down, I will crack on to actual examples of trades I look for. Here are my three main criteria. I am looking for tops/bottoms of moves (edge entries). I am looking for 1:3 RR or more potential pay-offs. My strategy assumes that retail trades will lose most of the time. This seems a fair enough assumption. Without meaning to sound too crass about it, smart money will beat dumb money most of the time if the game is base on money. They just will.
So to summarize, I am looking for the points newbies get trapped in bad positions entering into moves too late. From these areas, I am looking for high RR entries.
Setup Examples.
I call this one the “Lightning Bolt correction”, but it is most commonly referred to as a “two leg correction”. I call it a “Lightning Bolt correction” because it looks a bit like one, and it zaps you. If you get it wrong.

https://preview.redd.it/t4whwijse2721.png?width=1326&format=png&auto=webp&s=c9050529c6e2472a3ff9f8e7137bd4a3ee5554cc
Once I see price making the first sell-off move and then begin to rally towards the highs again, I am waiting for a washout spike low. The common trades mistakes I am trading against here is them being too eager to buy into the trend too early and for the to get stopped out/reverse position when it looks like it is making another bearish breakout. Right at that point they panic … literally one candle under there is where I want to be getting in. I want to be buying their stop loss, essentially. “Oh, you don’t want that ...okay, I will have that!”
I need a precise entry. I want to use tiny stops (for big RR) so I need to be cute with entries. For this, I need entry rules. Not just arbitrarily buying the spike out. There are a few moving parts to this that are outside the scope of this post but one of my mains ways is using a fibs extension and looking for reversals just after the 1.61% level. How to draw the fibs is something else that is outside the scope of this but for one simple rule, they can be drawn on the failed new high leg.

https://preview.redd.it/2cd682kve2721.png?width=536&format=png&auto=webp&s=f4d081c9faff49d0976f9ffab260aaed2b570309
I am looking for a few specific things for a prime setup. Firstly, I am looking for the false hope candles, the ones that look like they will reverse the market and let those buying too early get out break-even or even at profit. In this case, you can see the hammer and engulfing candle off the 127 level, then it spikes low in that “stop-hunt” sort of style.
Secondly I want to see it trading just past my entry level (161 ext). This rule has come from nothing other than sheer volume. The amount of times I’ve been stopped out by 1 pip by that little sly final low has gave birth to this rule. I am looking for the market to trade under support in a manner that looks like a new strong breakout. When I see this, I am looking to get in with tiny stops, right under the lows. I will also be using smaller charts at this time and looking for reversal clusters of candles. Things like dojis, inverted hammers etc. These are great for sticking stops under.
Important note, when the lightning bolt correction fails to be a good entry, I expect to see another two legs down. I may look to sell into this area sometimes, and also be looking for buying on another couple legs down. It is important to note, though, when this does not work out, I expect there to be continued momentum that is enough to stop out and reasonable stop level for my entry. Which is why I want to cut quick. If a 10 pips stop will hit, usually a 30 pips stop will too. Bin it and look for the next opportunity at better RR.

https://preview.redd.it/mhkgy35ze2721.png?width=1155&format=png&auto=webp&s=a18278b85b10278603e5c9c80eb98df3e6878232
Another setup I am watching for is harmonic patterns, and I am using these as a multi-purpose indicator. When I see potentially harmonic patterns forming, I am using their completion level as take profits, I do not want to try and run though reversal patterns I can see forming hours ahead of time. I also use them for entering (similar rules of looking for specific entry criteria for small stops). Finally, I use them as a continuation pattern. If the harmonic pattern runs past the area it may have reversed from, there is a high probability that the market will continue to trend and very basic trend following strategies work well. I learned this from being too stubborn sticking with what I thought were harmonic reversals only to be ran over by a trend (seriously, everything I know I know from how it used to make me lose).

https://preview.redd.it/1ytz2431f2721.png?width=1322&format=png&auto=webp&s=983a7f2a91f9195004ad8a2aa2bb9d4d6f128937
A method of spotting these sorts of M/W harmonics is they tend to form after a second spike out leg never formed. When this happens, it gives me a really good idea of where my profit targets should be and where my next big breakout level is. It is worth noting, larger harmonics using have small harmonics inside them (on lower time-frames) and this can be used for dialling in optimum entries. I also use harmonics far more extensively in ranging markets. Where they tend to have higher win rates.
Next setup is the good old fashioned double bottoms/double top/one tick trap sort of setup. This comes in when the market is highly over extended. It has a small sell-off and rallies back to the highs before having a much larger sell-off. This is a more risky trade in that it sells into what looks like trending momentum and can be stopped out more. However, it also pays a high RR when it works, allowing for it to be ran at reduced risk and still be highly profitable when it comes through.

https://preview.redd.it/1bx83776f2721.png?width=587&format=png&auto=webp&s=2c76c3085598ae70f4142d26c46c8d6e9b1c2881
From these sorts of moves, I am always looking for a follow up buy if it forms a lightning bolt sort of setup.
All of these setups always offer 1:3 or better RR. If they do not, you are doing it wrong (and it will be your stop placement that is wrong). This is not to say the target is always 1:3+, sometimes it is best to lock in profits with training stops. It just means that every time you enter, you can potentially have a trade that runs for many times more than you risked. 1:10 RR can be hit in these sorts of setups sometimes. Paying you 20% for 2% risked.
I want to really stress here that what I am doing is trading against small traders mistakes. I am not trying to “beat the market maker”. I am not trying to reverse engineer J.P Morgan’s black boxes. I do not think I am smart enough to gain a worthwhile edge over these traders. They have more money, they have more data, they have better softwares … they are stronger. Me trying to “beat the market maker” is like me trying to beat up Mike Tyson. I might be able to kick him in the balls and feel smug for a few seconds. However, when he gets up, he is still Tyson and I am still me. I am still going to be pummeled.
I’ve seen some people that were fairly bright people going into training courses and coming out dumb as shit. Thinking they somehow are now going to dominate Goldman Sachs because they learned a chart pattern. Get a grip. For real, get a fucking grip. These buzz phrases are marketeering. Realististically, if you want to win in the markets, you need to have an edge over somebody.
I don’t have edges on the banks. If I could find one, they’d take it away from me. Edges work on inefficiencies in what others do that you can spot and they can not. I do not expect to out-think a banks analysis team. I know for damn sure I can out-think a version of me from 5 years ago … and I know there are enough of them in the markets. I look to trade against them. I just look to protect myself from the larger players so they can only hurt me in limited ways. Rather than letting them corner me and beat me to a pulp (in the form of me watching $1,000 drop off my equity because I moved a stop or something), I just let them kick me in the butt as I run away. It hurts a little, but I will be over it soon.
I believe using these principles, these three simple enough edge entry setups, selectiveness (remembering you are trading against the areas people make mistakes, wait for they areas) and measured aggression a person can make impressive compounded gains over a year. I will attempt to demonstrate this by taking an account of under $100 to over $1,000 in a year. I will use max 10% on risk on a position, the risk will scale down as the account size increases. In most cases, 5% risk per trade will be used, so I will be going for 10-20% or so profits. I will be looking only for prime opportunities, so few trades but hard hitting ones when I take them.
I will start trading around the 10th January. Set remind me if you want to follow along. I will also post my investor login details, so you can see the trades in my account in real time. Letting you see when I place my orders and how I manage running positions.
I also think these same principles can be tweaked in such a way it is possible to flip $50 or so into $1,000 in under a month. I’ve done $10 to $1,000 in three days before. This is far more complex in trade management, though. Making it hard to explain/understand and un-viable for many people to copy (it hedges, does not comply with FIFO, needs 1:500 leverage and also needs spreads under half a pip on EURUSD - not everyone can access all they things). I see all too often people act as if this can’t be done and everyone saying it is lying to sell you something. I do not sell signals. I do not sell training. I have no dog in this fight, I am just saying it can be done. There are people who do it. If you dismiss it as impossible; you will never be one of them.
If I try this 10 times with $50, I probably am more likely to make $1,000 ($500 profit) in a couple months than standard ideas would double $500 - I think I have better RR, even though I may go bust 5 or more times. I may also try to demonstrate this, but it is kinda just show-boating, quite honestly. When it works, it looks cool. When it does not, I can go bust in a single day (see example https://www.fxblue.com/users/redditmicroflip).
So I may or may not try and demonstrate this. All this is, is just taking good basic concepts and applying accelerated risk tactics to them and hitting a winning streak (of far less trades than you may think). Once you have good entries and RR optimization in place - there really is no reason why you can not scale these up to do what may people call impossible (without even trying it).
I know there are a lot of people who do not think these things are possible and tend to just troll whenever people talk about these things. There used to be a time when I’d try to explain why I thought the way I did … before I noticed they only cared about telling me why they were right and discussion was pointless. Therefore, when it comes to replies, I will reply to all comments that ask me a question regarding why I think this can be done, or why I done something that I done. If you are commenting just to tell me all the reasons you think I am wrong and you are right, I will probably not reply. I may well consider your points if they are good ones. I just do not entering into discussions with people who already know everything; it serves no purpose.

Edit: Addition.

I want to talk a bit more about using higher percentage of risk than usual. Firstly, let me say that there are good reasons for risk caps that people often cite as “musts”. There are reasons why 2% is considered optimum for a lot of strategies and there are reasons drawing down too much is a really bad thing.
Please do not be ignorant of this. Please do not assume I am, either. In previous work I done, I was selecting trading strategies that could be used for investment. When doing this, my only concern was drawdown metrics. These are essential for professional money management and they are also essential for personal long-term success in trading.
So please do not think I have not thought of these sorts of things Many of the reasons people say these things can’t work are basic 101 stuff anyone even remotely committed to learning about trading learns in their first 6 months. Trust me, I have thought about these concepts. I just never stopped thinking when I found out what public consensus was.
While these 101 rules make a lot of sense, it does not take away from the fact there are other betting strategies, and if you can know the approximate win rate and pay-off of trades, you can have other ways of deriving optimal bet sizes (risk per trade). Using Kelly Criterion, for example, if the pay-off is 1:3 and there is a 75% chance of winning, the optimal bet size is 62.5%. It would be a viable (high risk) strategy to have extremely filtered conditions that looked for just one perfect set up a month, makingover 150% if it was successful.
Let’s do some math on if you can pull that off three months in a row (using 150% gain, for easy math). Start $100. Month two starts $250. Month three $625. Month three ends $1,562. You have won three trades. Can you win three trades in a row under these conditions? I don’t know … but don’t assume no-one can.
This is extremely high risk, let’s scale it down to meet somewhere in the middle of the extremes. Let’s look at 10%. Same thing, 10% risk looking for ideal opportunities. Maybe trading once every week or so. 30% pay-off is you win. Let’s be realistic here, a lot of strategies can drawdown 10% using low risk without actually having had that good a chance to generate 30% gains in the trades it took to do so. It could be argued that trading seldomly but taking 5* the risk your “supposed” to take can be more risk efficient than many strategies people are using.
I am not saying that you should be doing these things with tens of thousands of dollars. I am not saying you should do these things as long term strategies. What I am saying is do not dismiss things out of hand just because they buck the “common knowns”. There are ways you can use more aggressive trading tactics to turn small sums of money into they $1,000s of dollars accounts that you exercise they stringent money management tactics on.
With all the above being said, you do have to actually understand to what extent you have an edge doing what you are doing. To do this, you should be using standard sorts of risks. Get the basics in place, just do not think you have to always be basic. Once you have good basics in place and actually make a bit of money, you can section off profits for higher risk versions of strategies. The basic concepts of money management are golden. For longevity and large funds; learned them and use them! Just don’t forget to think for yourself once you have done that.

Update -

Okay, I have thought this through a bit more and decided I don't want to post my live account investor login, because it has my full name and I do not know who any of you are. Instead, for copying/observing, I will give demo account login (since I can choose any name for a demo).
I will also copy onto a live account and have that tracked via Myfxbook.
I will do two versions. One will be FIFO compliant. It will trade only single trade positions. The other will not be FIFO compliant, it will open trades in batches. I will link up live account in a week or so. For now, if anyone wants to do BETA testing with the copy trader, you can do so with the following details (this is the non-FIFO compliant version).

Account tracking/copying details.

Low-Medium risk.
IC Markets MT4
Account number: 10307003
Investor PW: lGdMaRe6
Server: Demo:01
(Not FIFO compliant)

Valid and Invalid Complaints.
There are a few things that can pop up in copy trading. I am not a n00b when it comes to this, so I can somewhat forecast what these will be. I can kinda predict what sort of comments there may be. Some of these are valid points that if you raise I should (and will) reply to. Some are things outside of the scope of things I can influence, and as such, there is no point in me replying to. I will just cover them all here the one time.

Valid complains are if I do something dumb or dramatically outside of the strategy I have laid out here. won't do these, if I do, you can pitchfork ----E

Examples;

“Oi, idiot! You opened a trade randomly on a news spike. I got slipped 20 pips and it was a shit entry”.
Perfectly valid complaint.

“Why did you open a trade during swaps hours when the spread was 30 pips?”
Also valid.

“You left huge trades open running into the weekend and now I have serious gap paranoia!”
Definitely valid.

These are examples of me doing dumb stuff. If I do dumb stuff, it is fair enough people say things amounting to “Yo, that was dumb stuff”.

Invalid Complains;

“You bought EURUSD when it was clearly a sell!!!!”
Okay … you sell. No-one is asking you to copy my trades. I am not trading your strategy. Different positions make a market.

“You opened a position too big and I lost X%”.
No. Na uh. You copied a position too big. If you are using a trade copier, you can set maximum risk. If you neglect to do this, you are taking 100% risk. You have no valid compliant for losing. The act of copying and setting the risk settings is you selecting your risk. I am not responsible for your risk. I accept absolutely no liability for any losses.
*Suggested fix. Refer to risk control in copy trading software

“You lost X trades in a row at X% so I lost too much”.
Nope. You copied. See above. Anything relating to losing too much in trades (placed in liquid/standard market conditions) is entirely you. I can lose my money. Only you can set it up so you can lose yours. I do not have access to your account. Only mine.
*Suggested fix. Refer to risk control in copy trading software

“Price keeps trading close to the pending limit orders but not filling. Your account shows profits, but mine is not getting them”.
This is brokerage. I have no control over this. I use a strategy that aims for precision, and that means a pip here and there in brokerage spreads can make a difference. I am trading to profit from my trading conditions. I do not know, so can not account for, yours.
* Suggested fix. Compare the spread on your broker with the spread on mine. Adjust your orders accordingly. Buy limit orders will need to move up a little. Sell limit orders should not need adjusted.

“I got stopped out right before the market turned, I have a loss but your account shows a profit”.
This is brokerage. I have no control over this. I use a strategy that aims for precision, and that means a pip here and there differences in brokerage spreads can make a difference. I am trading to profit from my trading conditions. I do not know, so can not account for, yours.
** Suggested fix. Compare the spread on your broker with the spread on mine. Adjust your orders accordingly. Stop losses on sell orders will need to move up a bit. Stops on buy orders will be fine.

“Your trade got stopped out right before the market turned, if it was one more pip in the stop, it would have been a winner!!!”
Yeah. This happens. This is where the “risk” part of “risk:reward” comes in.

“Price traded close to take profit, yours filled but mines never”.
This is brokerage. I have no control over this. I use a strategy that aims for precision, and that means a pip here and there differences in brokerage spreads can make a difference. I am trading to profit from my trading conditions. I do not know, so can not account for, yours.
(Side note, this should not be an issue since when my trade closes, it should ping your account to close, too. You might get a couple less pips).
*** Suggested fix. Compare the spread on your broker with the spread on mine. Adjust your orders accordingly. Take profits on buys will need to move up a bit. Sell take profits will be fine.

“My brokers spread jumped to 20 during the New York session so the open trade made a bigger loss than it should”.
Your broker might just suck if this happens. This is brokerage. I have no control over this. My trades are placed to profit from my brokerage conditions. I do not know, so can not account for yours. Also, if accounting for random spread spikes like this was something I had to do, this strategy would not be a thing. It only works with fair brokerage conditions.
*Suggested fix. Do a bit of Googling and find out if you have a horrific broker. If so, fix that! A good search phrase is; “(Broker name) FPA reviews”.

“Price hit the stop loss but was going really fast and my stop got slipped X pips”.
This is brokerage. I have no control over this. I use a strategy that aims for precision, and that means a pip here and there differences in brokerage spreads can make a difference. I am trading to profit from my trading conditions. I do not know, so can not account for, yours.
If my trade also got slipped on the stop, I was slipped using ECN conditions with excellent execution; sometimes slips just happen. I am doing the most I can to prevent them, but it is a fact of liquidity that sometimes we get slipped (slippage can also work in our favor, paying us more than the take profit would have been).

“Orders you placed failed to execute on my account because they were too large”.
This is brokerage. I have no control over this. Margin requirements vary. I have 1:500 leverage available. I will not always be using it, but I can. If you can’t, this will make a difference.

“Your account is making profits trading things my broker does not have”
I have a full range of assets to trade with the broker I use. Included Forex, indices, commodities and cryptocurrencies. I may or may not use the extent of these options. I can not account for your brokerage conditions.

I think I have covered most of the common ones here. There are some general rules of thumb, though. Basically, if I do something that is dumb and would have a high probability of losing on any broker traded on, this is a valid complain.

Anything that pertains to risk taken in standard trading conditions is under your control.

Also, anything at all that pertains to brokerage variance there is nothing I can do, other than fully brief you on what to expect up-front. Since I am taking the time to do this, I won’t be a punchbag for anything that happens later pertaining to this.

I am not using an elitist broker. You don’t need $50,000 to open an account, it is only $200. It is accessible to most people - brokerage conditions akin to what I am using are absolutely available to anyone in the UK/Europe/Asia (North America, I am not so up on, so can’t say). With the broker I use, and with others. If you do not take the time to make sure you are trading with a good broker, there is nothing I can do about how that affects your trades.

I am using an A book broker, if you are using B book; it will almost certainly be worse results. You have bad costs. You are essentially buying from reseller and paying a mark-up. (A/B book AKA ECN/Market maker; learn about this here). My EURUSD spread will typically be 0.02 pips or so, if yours is 1 pip, this is a huge difference.
These are typical spreads I am working on.

https://preview.redd.it/yc2c4jfpab721.png?width=597&format=png&auto=webp&s=c377686b2485e13171318c9861f42faf325437e1


Check the full range of spreads on Forex, commodities, indices and crypto.

Please understand I want nothing from you if you benefit from this, but I am also due you nothing if you lose. My only term of offering this is that people do not moan at me if they lose money.

I have been fully upfront saying this is geared towards higher risk. I have provided information and tools for you to take control over this. If I do lose people’s money and I know that, I honestly will feel a bit sad about it. However, if you complain about it, all I will say is “I told you that might happen”, because, I am telling you that might happen.

Make clear headed assessments of how much money you can afford to risk, and use these when making your decisions. They are yours to make, and not my responsibility.

Update.

Crazy Kelly Compounding: $100 - $11,000 in 6 Trades.

$100 to $11,000 in 6 trades? Is it a scam? Is it a gamble? … No, it’s maths.

Common sense risk disclaimer: Don’t be a dick! Don’t risk money you can’t afford to lose. Do not risk money doing these things until you can show a regular profit on low risk.
Let’s talk about Crazy Kelly Compounding (CKC). Kelly criterion is a method for selecting optimal bet sizes if the odds and win rate are known (in other words, once you have worked out how to create and assess your edge). You can Google to learn about it in detail. The formula for Kelly criterion is;
((odds-1) * (percentage estimate)) - (1-percent estimate) / (odds-1) X 100
Now let’s say you can filter down a strategy to have a 80% win rate. It trades very rarely, but it had a very high success rate when it does. Let’s say you get 1:2 RR on that trade. Kelly would give you an optimum bet size of about 60% here. So if you win, you win 120%. Losing three trades in a row will bust you. You can still recover from anything less than that, fairly easily with a couple winning trades.
This is where CKC comes in. What if you could string some of these wins together, compounding the gains (so you were risking 60% each time)? What if you could pull off 6 trades in a row doing this?
Here is the math;

https://preview.redd.it/u3u6teqd7c721.png?width=606&format=png&auto=webp&s=3b958747b37b68ec2a769a8368b5cbebfe0e97ff
This shows years, substitute years for trades. 6 trades returns $11,338! This can be done. The question really is if you are able to dial in good enough entries, filter out enough sub-par trades and have the guts to pull the trigger when the time is right. Obviously you need to be willing to take the hit, obviously that hit gets bigger each time you go for it, but the reward to risk ratio is pretty decent if you can afford to lose the money.
We could maybe set something up to do this on cent brokers. So people can do it literally risking a couple dollars. I’d have to check to see if there was suitable spreads etc offered on them, though. They can be kinda icky.
Now listen, I am serious … don’t be a dick. Don’t rush out next week trying to retire by the weekend. What I am showing you is the EXTRA rewards that come with being able to produce good solid results and being able to section off some money for high risk “all or nothing” attempts; using your proven strategies.
I am not saying anyone can open 6 trades and make $11,000 … that is rather improbable. What I am saying is once you can get the strategy side right, and you can know your numbers; then you can use the numbers to see where the limits actually are, how fast your strategy can really go.
This CKC concept is not intended to inspire you to be reckless in trading, it is intended to inspire you to put focus on learning the core skills I am telling you that are behind being able to do this.
submitted by inweedwetrust to Forex [link] [comments]

Advantages, Disadvantages and Risks of Forex Trading

Advantages, Disadvantages and Risks of Forex Trading

https://preview.redd.it/ck9blq4ft6d41.png?width=600&format=png&auto=webp&s=5353ef8f5104ee93929cc35106493fea777ede95
Features and Benefits of Investing in Forex
Forex is a market that is characterized by some specific elements:
  1. Automated trading. Many platforms allow you to automatically plan your transactions or close your positions after reaching the planned income level, or if you are no longer prepared for risks. Automation of strategies is one of the main advantages of a trader, the development of your trading strategy is best entrusted to professional programmers, for example here - https://nordman-algorithms.com/metatrader-programming/
  2. A large number and variety of market structures. Forex involves exchanges with central banks, financial institutions, transnational corporations, governments, transactional institutions, economic analysts, currency speculators and private investors (such as us).
  3. Liquidity. As we said in the previous paragraphs, the volume of daily foreign exchange transactions around the world is very significant compared to other markets that may have liquidity problems.
  4. Transactions are made at any time of the day. Foreign exchange markets are open 24 hours a day (excluding weekends), as well as during the domestic holidays of each country (foreign markets are open).
  5. Demo account for beginners. Almost all intermediaries or brokers offer a demo account where you can practice and learn exchange methods before you run into a real market.
  6. This is a very safe market. The possibility of fraud is almost impossible, and this makes it very safe, despite being accessible via the Internet. However, when registering with a broker, you need to make sure that it is regulated by someone.
  7. The market is very sensitive. In addition to the advantages that we just mentioned, the foreign exchange market is very responsive to many technical and psychological indicators. It is worth mentioning that many relevant topics affecting the currency are numerous and publicly available.
  8. Small budget. On Forex, you can trade with small budgets, starting with $ 100 or a minimum deposit capital.
  9. Bank leverage. This means that you can increase your capital simply by storing earnings in a bank account.
  10. Zero commissions. There are no commissions for transactions that will be executed on the trading platform. The only costs are compensated by the broker: this is the difference between the purchase price and the sale price of certain units.
  11. The lack of a physical center. All transactions are carried out online. This means that the value of currency pairs depends only on supply and demand, and for this reason it constantly fluctuates.
Disadvantages and risks of Forex
But not everything is as beautiful as it seems at first glance, since the Forex market is always associated with a certain risk of capital loss. If you make a wrong prediction, you will lose money. To avoid this, it is necessary to implement a strict money management strategy and trading system. Thus, the risks are not canceled, but at least controlled.
There is also another class of very dangerous risk. There are wonderful, reliable, safe, affordable low margin brokers, and there are others whose only purpose is to trick traders. But, fortunately, this type of risk is easy to control: just analyze the broker before registering with him, look at the reviews on the forums and check if the broker is a legally authorized and regulated measure of the European Union.
And, most importantly, remember, the Forex market is a very speculative market. Despite the fact that it reflects the financial competitiveness of the economy in the long run, the foreign exchange market is very speculative and volatile. This means that investors must be prepared to withstand strong levels of volatility and conflicting signals.
submitted by alex_fortran to u/alex_fortran [link] [comments]

Automated Forex Trading Software - Forex Trading Tips Indicative Factors in Forex

There are a huge group of losers and they buy Forex robots. Bitcoin Revolution 2 Review While the claims these robots make are laughable, the robot buyers think their going to get rich spending a hundred dollars or so and making no effort and of course they lose.Other traders make an effort but still lose, as they believe myths such as you can predict market prices or they move to some higher force and mathematics. They are interested in gimmicks and being clever and the market teaches them a lesson.Another group get a good Forex education and still can't win, as their mindset is not right and its mindset, that really separates winners from the losers.

The savvy Forex trader is very often not a geek and has no college education, he's an ordinary Joe in fact, a vast number of rich Forex traders come from a background of playing professional poker. The poker psychology needed to win is very similar to the psychology you need to win at Forex.I know that when you are first start to learn about how to trade the forex market, people tend to really go "indicator crazy". This means they will put any kind of indicator on their charts. It doesn't matter if they don't have a clue about how to use it or even understand what's the purpose of it.

I suppose using these indicators provides some kind of reassurance to the trader. I can safely say that when I first started to trade I was suffering from the indicator fever. I used to be the kind of trader that would spend all day on forex forums trying to get my hands on new proprietary indicators.But something eventually dawned on me. While all these indicators looked really pretty on my chart, I didn't have the first clue about how to actually trade the forex market. After all, I was just blindly following these indicators as the sole reason to enter and exit a trade.

This is what I like to call the training phase of a trader. It's somewhat akin to when you first learn how to ride a bike. Nobody knows how to ride a bike the first time they get on one, so they put training wheels. In this metaphor, the training wheels are the indicators.But just like when you are riding a bike that is on training wheels, it may seem like you are really riding the bike. But in the back of your mind, you KNOW that you aren't really riding a bike unless you are unassisted.

http://whatpeopleswant.com/bitcoin-revolution-2-review/
submitted by Clintonlegend to u/Clintonlegend [link] [comments]

I Kinda knew where the market is going last week, but lost money anyway.

I have been in the Forex market about a year and half and most of that time i was trading a lot of strategies based on divergence as i believed is a strong indicator to predict where the price is going.
after many strategies from different forums i came up with my own trading strategy based on Divergence also.
I traded on demo until i doubled my account then went live, got +20% in the first week trading live, then i don't know what happened and my account balance went in a down trend. tried a lot of other divergence strategies a long that trend until the account is near to be 20% of the original balance then i decided i should analyse the market like the big forex boys on instagram who trade 100-250 lots and make a lot of money every week.
so i done my homework analyzing on tradingview and most of the time i knew where the market was going but still lost another 10% of the account.
I don't wanna stay in that try and error loop for too long, i will share my analysis with you guys and i hope you can review it and tell me what i did right and what i did wrong and how to enter a trade at the right time based on my analysis, where to put my stoploss and takeprofit.
album with the pairs i traded last week : http://imgur.com/a/lxThw
I put the trades as i took it on the charts so you can review my entries and tell me where should i entered right.
I analyze based on my experience and round number S&R from 1D & 4H charts and Fibos.
Edit : I enter the trades based on price action
Edit 2: formatting
the yellow circles and pink lines are all drawn last weekend before the trading week starts
thanks
submitted by PhDinWastingTime to Forex [link] [comments]

Forex - Financial Data for Currency Traders

Automated Forex trading systems are pre-programmed strategies that automatically Forex Millennium Review execute trades under the guidance of your personal strategy. It's an option you'll find available with most trading software platforms, and to be used effectively it must be configured to your own requirements. An automated Forex trading system enables you to execute your trades on the Forex market anytime of the day, based on existing technical indicators and custom trading rules that you personally establish. The various features within an automated trading system may include ...

The two primary reasons for using an automated Forex trading system are to make sure you don't miss a trade and to help assure that emotions don't overtake your trading strategy. In case you're confused, a system is a strategy, software program, or course designed as a guide by Forex trading experts. It's not the Holy Grail of Forex trading, but a method for evaluating market conditions and currency movements that's proven successful in the past.

Because of automation, a trader can close a trade within milliseconds, something that's impossible in manual systems since previous trades are normally closed after several hours. In addition, a trader can trade within varying time zones. In other words, you can place trades or close deals with traders from around the world, even in the middle of the night. Another bonus ... short-term data analysis. Traders using an automated system can predict market trends in less than an hour.

What exactly are trading signals?

Trading signals are indicators of Forex market trends, generally based on a trading system, that tell the trader the best time to buy or sell a currency. These trends can include everything from currency pairs near moving averages, to support and resistance levels, to Fibonacci levels. Different trading systems can require different signals and trends for their recommendations. Some systems can include as many 26 indicators in their development of trading signals.


https://spontaneousreview.com/forex-millennium-review/
submitted by amysmart0327 to u/amysmart0327 [link] [comments]

Taking Control of Forex Trading Stress

Stochastic and Relative Strength index are two of the most popular Bitcoin Revolution 2 Review momentum indicators. These indicators will serve as a guide for determining levels at which to enter and exit. It pays to use momentum indicators if you really want to make it big in forex trading.Stay away from predicting price movement to protect your forex capital. Base your trading decision on sound logic and analysis to succeed in forex trading.
There are many claims that developers make about their Forex trading programs. Some claim that their robots can make you money within your first day of trading. Some also claim their software is so easy to install, you can start trading within minutes of downloading the program. Some even claim that their robots are the single most effective and reliable means of trading on the Forex market.
By this point, you've probably already swallowed these claims hook, line and sinker, or you've convinced yourself that all robots everywhere are scams designed to rob you blind.The truth is somewhere in between, as you'll find if you do your research. Searching the Internet will turn up a myriad of assorted Forex programs all claiming that they'll make you money on the Forex market, guaranteed.
Like snowflakes, every one is unique. And like snow itself, it's a bad thing to rush into without the proper preparation. There are some truly reliable and trustworthy robots out there that can make you money without any human input whatsoever, but there are also ones that will eat your investment and give you nothing in return. Whether you're a beginner or a seasoned veteran of the Forex market, a Forex robot is a valuable tool to have, but you should make sure that you're buying one that can actually back up its developers' lofty promises. Here are some questions you should ask.
https://americansreviews.com/why-you-should-know-if-prices-in-forex-are-random/
submitted by steffandevin11 to u/steffandevin11 [link] [comments]

3 Reasons NOT to Trade on the Foreign Exchange Market

This indicator is generally good at showing areas of possible support and resistance levels. This indicator is primarily used to determine the direction of the trend and smooth out any noise that is caused by price fluctuations. An upward trend is confirmed when the price is above the MA and a downward trend is confirmed when the price is below the MA. MA can also be used to determine the change in trend.

When the price of the market crosses about the MA, the trend has changed to an uptrend. Also, when the price of the market cross is below the moving average, the trend has changed to a downtrend. The one problem with MA is that they do not predict a price but rather they give the current direction of the market with a lag. So the main function of an MA is to smooth out prices and to give the current direction of the trend.

When choosing a business strategy to pursue, you'll have many options to choose from. The currency market is the biggest, most liquid financial market in the world. If you are considering making the plunge into the fast-paced world of Forex trading, see the advice given here. Trading excessively will diminish your credit, but will cause chaos and confusion. Profitable trading generally involves quality, not quantity.

Do not get your emotions involved in your trading transactions. Remain undeterred and focused. Panicking will not help you. Clarity of thought will be the key to success. Once you have your Forex trading strategy down and are comfortable with it, you might want to mix it up by trying the scalping method. A scalping strategy requires you to actively trade in very short time frames.

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https://dailytradingschool.com/ultralast-xxl-review/

https://dailytradingschool.com/algo-trading-review/
submitted by jesidivi to u/jesidivi [link] [comments]

Automated Forex Trading - Can Forex Robots Really Deliver What They Promise?

There are many benefits of retail forex trading. Many people choose it because it may not involve commissions or middlemen, or is a 24 hour market with high liquidity and very low barriers of entry. Along with these benefits, the forex market is surrounded by many myths. Some of the common myths are: Many people think that forex trading makes them rich in no time. But you need to understand that forex trading is just like any other speculative market, huge gains can occur but that is always accompanied by a lot of risks as well. And with any speculative market, long-term success does not come easy, rather a lot of hard work and dedication is involved. It is a very common myth that forex market is predictable. Many companies on the Internet and other media claim that they have found a scientific method, system, or indicator to predict the market. While it is true that some systems do show great returns for a limited period, the market is quick to dispose of these, usually within 6 months. Conventional wisdom alone would suggest the guy selling you a system on the Internet isn't using it himself - or why would he sell it? One of the most enduring myths about the forex market is that experts can guide the traders to untold riches. Again, experts can be a wealth of information, but seldom would any expert give away the golden goose unless it is not laying eggs anymore. And remember "experts" is a loose term where someone in a position of authority is usually placed on TV to decimate information with a hidden agenda. Just remember to second guess everything and do your own homework.
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submitted by samsanjana to u/samsanjana [link] [comments]

#liqnet

LIQNET A CRYPTOCURRENCY EXCHANGE WITH THE UNIQUE LIQUIDITY POOLING TECHNOLOGY
LIQNET SPECIFICS
THE LEN MECHANISM (LIQUIDITY EXCHANGE NETWORK) LEN (Liquidity Exchange Network) is what makes our exchange unique. This mechanism allows collecting and aggregating buy/sell orders through APIs of 1,2...n exchanges located anywhere in the world and forming a unified order book.LIQNET is a cryptocurrency exchange that uses a unique liquidity gathering mechanism. Find out how it works today in our review.What Is LIQNET?
LIQNET, found online at LIQNET.com, gathers liquidity from other exchanges and allows traders to access this liquidity through a single dashboard. You can take advantage of arbitrage opportunities between exchanges. Or, you can simply use LIQNET to access more liquidity.
The system revolves around the united limit order book, or LOB. You access this order book through the professional LIQNET interface. LIQNET was announced on April 24, 2018. The company is expecting to launch a token sale in May or June 2018.
How Does LIQNET Work?
LIQNET revolves around its limit order book, or LOB, and its LEN mechanism. The Liquidity Exchange Network, or LEN, mechanism prevents liquidity fragmentation by pooling bids and orders from different exchanges. Instead of accessing liquidity from a single cryptocurrency exchange, you can access liquidity from multiple exchanges using the same professional LIQNET dashboard. The main benefit of this higher liquidity is that traders can enjoy a lower bid/ask spread. LEN collects and pools orders from exchange customers like you. Then, it connects those orders with orders from other platforms, creating a single depth of market panel. Orders are collected and then made available for trading to all LIQNET exchange customers.
Using the public APIs of cryptocurrency exchanges, LEN polls them for purchase and sale bids, forming a single depth of market panel for its customers and allowing traders to find the best prices at minimal spread.
You can access LIQNET through your desktop browser or a mobile app.
LIQNET Features & Benefits
LIQNET emphasizes all of the following features and benefits:
No Slippage: High liquidity allows users to reduce or fully eliminate the costs of slippage. Expenses Reduction: The higher the market liquidity is, the smaller the bid/ask spread will be, which thereby lowers the cost of trading.
Trust: LIQNET’s liquidity “reflects the presence of a mass of people whose actions are much easier to predict than the actions of a single person,” explains the official website, which means that a single entity can’t dominate the trading market. Decentralization: LIQNET claims to be built on a decentralized system because their physical hardware is located in two different data centers, including centers in France and Canada. This isn’t what we typically mean by “decentralization”, although we understand what LIQNET is getting at.
Security: LIQNET holds customers’ funds in multiple locations, including hot wallets, multi-signature wallets, and cryptocurrency exchanges. This reduces the risk of theft. Multiple Trading Options: LIQNET supports direct trading from the financial chart and scalping trades (including post limit and stop orders right from the order book). Multiple Order Types: LIQNET supports stop order trades, stop limit trades, TP & SL trades, trailing stop trades, Iceberg, IFD, OCO, IFDOCO, valid till day/time trades, AON, IOC, and FOK trades.
Financial Charts: LIQNET provides a suite of analysis tools. Users can also customize their dashboard with 100+ different trading indicators. Multiple Currency Pairs: Right now, LIQNET lists just four cryptocurrency pairs, including LTC/BTC, ETH/BTC, BCH/BTC, and PPC/BTC. However, they allow users to deposit more currencies, including bitcoin, Litecoin, USD, Ethereum, Bitcoin Cash, DASH, and Peercoin (PPC).
LIQNET Fees A number of cryptocurrency exchanges aggregate liquidity from across different exchanges. So what makes LIQNET special? What kind of fees can you expect to pay? Here are some of the notable fees as listed on the LIQNET fees page: Trading Fees: 0.2% taker fee, 0.1% maker fee Deposit Fees: 0 (0% deposit fees on all deposit options, including bitcoin, Litecoin, USD, Ethereum, Bitcoin Cash, DASH, and Peercoin). Withdrawal Fees: 0.0001 BTC, 0.01 LTC, 0.01 USD, 0.01 ETH, 0.01 BCH, 0.01 DASH, and 0.01 PPC.
The LIQNET ICO LIQNET is expecting to launch a crowdsale in May / June 2018. That crowdsale will consist of a closed pre-sale and an open ICO. Further details of the token sale have not yet been announced. LIQNET has partnered with Como Capital to launch their ICO. It’s unclear how LIQNET tokens will work. However, tokens launched by other cryptocurrency exchanges typically provide a discount on trading fees. You might only pay 0.1% or 0.5% trading fees when paying with LIQNET’s tokens, for example.Who’s Behind LIQNET? LIQNET was created by a team of finance, law, and technology professionals with a proven track record in traditional investments and forex trading.
Key members of the team include Roman Shirokov (CEO), Evgeny Tarasenko (CTO), and Vyacheslav Kasatkin.
LIQNET was incorporated in 2015. The company is registered to an address in Singapore (10 Maxwell Road, Singapore).
LIQNET Conclusion LIQNET is a cryptocurrency exchange that aggregates liquidity from a number of different exchanges across the internet. The goal is to reduce the bid/ask spread while offering users the highest liquidity across multiple order types and markets. Right now, LIQNET is in the early stages of launch. The exchange is not yet available online, although a desktop and mobile app are preparing to launch in the near future.
submitted by Sl1mXgod to u/Sl1mXgod [link] [comments]

THE LION KING ARRIVING

THE LION KING ARRIVING
The Lion King is a 2019 American photorealistic computer-animated musical drama film directed and produced by Jon Favreau, with a screenplay written by Jeff Nathanson, and produced by Walt Disney Pictures. It's a photorealistic computer-animated remake of Disney's traditionally animated 1994 film of the same name. The movie stars the voices of Donald Glover, Seth Rogen, Chiwetel Ejiofor, Alfre Woodard, Billy Eichner, John Kani, John Oliver and Beyoncé Knowles-Carter, in addition to James Earl Jones reprising his authentic position as Mufasa.

https://preview.redd.it/egn6js7pgga31.jpg?width=2000&format=pjpg&auto=webp&s=95de0dc3a49272a75fa9a52df48f44cb714191ff
Plans for a remake of The Lion King have been confirmed in September 2016 following the success of the studio's The Jungle Book, additionally directed by Favreau. A lot of the principle forged signed in early 2017 and principal production started in mid-2017 on a blue screen stage in Los Angeles.
The movie is scheduled to be theatrically launched in America on July 19, 2019. It obtained blended evaluations, with the reward for its visible results and vocal performances, whereas receiving criticism for being extremely spinoff of the unique and the dearth of emoting within the animated lion characters relative to the unique.
Disney’s upcoming movie journeys to the African savanna the place a future king is born. Simba idolizes his father, King Mufasa, and takes to coronary heart his personal royal future. However, not everybody within the kingdom celebrates the brand new cub’s arrival. Scar, Mufasa’s brother—and former inheritor to the throne—has plans of his personal. The battle for Satisfaction Rock is ravaged with betrayal, tragedy and drama, finally leading to Simba’s exile. With an assist from a curious pair of newfound pals, Simba must determine to find out how to develop up and take again what's rightfully his.
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✪✪✪✪✪ FOREX IN WORLD ✪✪✪✪✪

_______________________________________________________________

Voice forged

Foremost article: List of The Lion King characters
  • Donald Glover as Simba: A lion who's the crown prince of the Satisfaction Lands. Glover mentioned that the movie will focus extra on Simba's time rising up than the unique movie did, stating that "[Favreau] was very eager in ensuring we noticed [Simba's] transition from boy to man and the way laborious that maybe when there's been a deep trauma".[5]
    • JD McCrary as younger Simba.

https://preview.redd.it/55z18xhsgga31.jpg?width=480&format=pjpg&auto=webp&s=ef79d959d87a86c000d24b50539e631a9ea47956
  • Seth Rogen as Pumbaa: A slow-witted common warthog who befriends and adopts a younger Simba after he runs away from dwelling. Rogen mentioned, "[a]s an actor, I [...] do not suppose I am proper for each position — there are numerous roles I do not suppose I am proper for even in motion pictures I am making — however, Pumbaa was one I knew I may do properly".[6]
  • Chiwetel Ejiofor as Scar: The treacherous brother of Mufasa and the uncle of Simba who seeks to take the mantle of king of the Satisfaction Lands. Ejiofor described Scar as extra "psychologically possessed" and "brutalized" than within the authentic movie.[6] Ejiofor mentioned that "particularly with Scar, whether or not it is a vocal high quality that permits for a sure confidence or a sure aggression, to at all times know that on the finish of it you are enjoying someone who has the capability to show everything on its head in a break up second with outrageous acts of violence – that may fully change the temperature of a scene".[6] Ejiofor additionally mentioned that "[Scar and Mufasa's] relationship is totally destroyed and brutalized by Scar's mindset. He is possessed with this illness of his personal ego and his personal need".[5] Favreau mentioned of casting Ejiofor, "[He] is only an incredible actor, who brings us a little bit of the mid-Atlantic cadence and a brand new tackle the character. He brings that feeling of a Shakespearean villain to bear due to his background as an actor. It is great when you have got someone as skilled and seasoned as Chiwetel; he simply breathes such great life into this character.

https://preview.redd.it/xik5ye7vgga31.png?width=756&format=png&auto=webp&s=ed6380f8ce8070d9de0b3e7190758b14152bc36b
  • Alfre Woodard as Sarabi: The Queen of the Satisfaction Lands, Mufasa's mate, and Simba's mom.
  • Billy Eichner as Timon: A wise-cracking meerkat who befriends and adopts a younger Simba after he runs away from dwelling.
  • John Kani as Rafiki: A smart mandrill who serves because of the shaman of the Satisfaction Lands and an in-depth buddy of Mufasa's.[7] Likening his position to that of a grandfather, Kani mentioned, "Rafiki reminds all of us of that particular smart relative. His knowledge, humour and his loyalty to the Mufasa dynasty is what warms our hearts in direction of him. [He's] at all times blissful and wisecracking jokes as classes of life and survival.
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  • John Oliver as Zazu: A red-billed hornbill who's the majordomo to the King of the Satisfaction Lands. Talking of his position, Oliver mentioned, "I believe Zazu is mainly a fowl who likes construction. He simply desires issues to be as they need to be. I believe there are British echoes there as a result of we are inclined to favour construction in lieu of getting an emotional response to something."[1]
  • Beyoncé Knowles-Carter as Nala: Simba's childhood greatest buddy and future love curiosity. In accordance with Favreau, the character has a much bigger position than within the authentic movie.[8]Favreau felt that "a part of [Beyoncé joining the film] is that she's bought younger children, a part of it's that it is a story that feels good for this part of her life and her profession, and he or she actually likes the unique very a lot. After which, after all, there are these great musical numbers that she could be concerned with, and my God... she actually lives as much as her fame so far as the fantastic thing about her voice and expertise".

https://preview.redd.it/whc87s3fhga31.jpg?width=1200&format=pjpg&auto=webp&s=01346be25f62e54b16b9a395a733e98dd4af4a48
  • Shahadi Wright Joseph as younger Nala. Joseph reprises her position from the Broadway production.[10] Joseph selected to work on the movie as a result of "Nala conjures up little ladies [...] She's an excellent position mannequin".
  • James Earl Jones as Mufasa: The King of the Satisfaction Lands and the daddy of Simba. Jones reprises his position from the unique 1994 animated movie. In accordance with Favreau, Jones' strains stay principally the identical from the unique movie.[6] Ejiofor mentioned that "the consolation of [Jones reprising his role] goes to be very rewarding in taking [the audience] on this journey once more. It is a once-in-a-generation vocal high quality". Favreau noticed Jones' return as "carrying the legacy throughout" the unique movie and the remake, and felt that his voice's change in tonality in comparison with the unique movie "served the position properly as a result of he feels like a king who's nominated for a very long time".
Florence Kasumba, Keegan-Michael Key, and Eric Andre voice Shenzi, Kamari, and Azizi, three spotted hyenas who're Scar's henchmen. Whereas Shenzi is a personality that was featured within the authentic 1994 animated movie, Kamari and Azizi are the respective renames of Banzai and Ed from the unique movie. The hyenas' characterizations have been closely altered from the unique movie's, as Favreau felt that they "needed to change so much" to suit the remake's reasonable fashion, stating that "[a] lot of the stuff around them [in the original film] was very stylised".[13]Kasumba elaborated, declaring that "These hyenas have been humorous. These hyenas are harmful.
Moreover, Penny Johnson Jerald voices Sarafina, Nala's mom.[1] Amy Sedaris, Chance the Rapper and Josh McCrary voice a guinea fowl, a bush baby, and an elephant shrew, respectively, Timon and Pumbaa's neighbours within the jungle.[1][14] Phil LaMarr voices an impala, whereas J. Lee voices a hyena.

Manufacturing

Growth

On September 28, 2016, Walt Disney Pictures confirmed that Jon Favreau can be directing a remake of the 1994 animated movie The Lion King, which might characteristic the songs from the 1994 movie, following a string of latest field workplace successes on the opposite Disney live-action remake movies comparable to Maleficent), Cinderella), Favreau's The Jungle Book) and Beauty and the Beast), with the latter three additionally incomes important reward.[15]#citenote-15) On October 13, 2016, it was reported that Disney had employed Jeff Nathanson to write down the screenplay for the remake,[[16]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-16) with the story written by Brenda Chapman, who was the unique movie's head of story.[[17]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-LionKingEverythingKnow-17)
In November, speaking with ComingSoon.net, Favreau mentioned the digital cinematography expertise he utilized in The Jungle Ebook can be used to a larger diploma in The Lion King.[18]#citenote-18) Though the media reported The Lion King to be a live-action movie, it really makes use of photorealistic computer-generated animation. Disney additionally didn't describe it as live-action, solely stating it could comply with the "technologically groundbreaking" strategy of The Jungle Ebook.[[19]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-19) Whereas the movie acts as a remake of the 1994 animated movie, Favreau was impressed by the Broadway adaptation) of the movie for certain points of the remake's plot, notably Nala and Sarabi's roles.[[20]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-20) Favreau additionally aimed to develop his personal tackle the unique movie's story with what he mentioned was "the spectacle of a BBC wildlife documentary".[[21]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-FavreauVideoGame-21)
This serves as the ultimate credit score for movie editor Mark Livolsi, who died in September 2018.[22]#citenote-22) The movie is devoted to him.[[1]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-PressKit-1)

Casting

In mid-February 2017, Donald Glover was forged as Simba, with James Earl Jones reprising his position as Mufasa from the 1994 movie.[23]#citenote-23) In April 2017, Billy Eichner and Seth Rogen have been forged to play Timon and Pumbaa respectively.[[24]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-24) In July 2017, John Oliver was forged as Zazu.[[25]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-OliverCast-25) In August 2017, Alfre Woodard and John Kani have been introduced to play Sarabi and Rafiki), respectively.[[26]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-26)[[27]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-27)
Earlier in March 2017, it was introduced that Beyoncé was Favreau's best choice for the position of Nala) and that the director and studio can be keen to do no matter it took to accommodate her busy schedule.[28]#citenote-28) In a while November 1, 2017, her position was confirmed in an official announcement,[[29]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-29)[[30]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-30) which additionally confirmed that Chiwetel Ejiofor would play the position of Scar), and introduced that Eric Andre, Florence Kasumba, and Keegan-Michael Key would be the voices of Azizi, Shenzi and Kamari whereas JD McCrary and Shahadi Wright Joseph would be the voices of younger Simba and younger Nala, respectively.[[31]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-31)[[32]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-32)[[33]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-33)[[34]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-34)[[35]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-35) In November 2018, Amy Sedaris was introduced as having been forged in a task created for the movie.[[36]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-36)

https://preview.redd.it/z07sy0ajhga31.jpg?width=700&format=pjpg&auto=webp&s=408b58a2cc2475200dcb12819ecae96bfb73b880

Visible results

The Moving Picture Company, the lead vendor on The Jungle Ebook, will present the visible results and so they'll be supervised by Robert Legato, Elliot Newman and Adam Valdez.[37]#citenote-37) The movie will make the most of "virtual-reality instruments", per Visible Results Supervisor Rob Legato.[[38]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-LionKingD23-38) Digital Manufacturing Supervisor Girish Balakrishnan mentioned on his skilled web site that the filmmakers used motion capture and VR/applied sciences,[[39]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-:1-39) with the manufacturing crew combining VR expertise with cameras so as to movie the remake in a VR-simulated environment.[[21]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-FavreauVideoGame-21) Sean Bailey, Disney's President of Manufacturing, referred to as the movie's visible results "a brand new type of filmmaking", and felt that "Historic definitions do not work", stating that "[it] makes use of some methods that will historically be referred to as animation, and different methods that will historically be referred to as live-action. It's an evolution of the expertise Jon [Favreau] utilized in Jungle Ebook".
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Music

Foremost article: The Lion King (2019 soundtrack))
Hans Zimmer, who composed the 1994 animated model, would return to compose the rating for the remake.[41]#citenote-41) Elton John additionally returned to transform his musical compositions from the unique movie earlier than his retirement,[[42]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-42) with Beyoncé aiding John within the remodelling of the soundtrack.[[43]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-43) John, the unique movie's lyricist, Tim Rice, and Beyoncé additionally created a brand new track for the movie,[[44]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-44) titled "Spirit)" and carried out by Beyoncé, which was launched on July 9, 2019, because of the lead single from the soundtrack.[[45]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-TheGift-45) John and Rice additionally wrote a brand new track for the movie's finish credit, titled "By no means Too Late" and carried out by John.[[46]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-Soundtrack-46) The movie additionally options all of the songs from the unique movie, a canopy of The Token's "The Lion Sleeps Tonight", and the track "He Lives in You" from Rhythm of the Satisfaction Lands and the Broadway manufacturing.[[46]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-Soundtrack-46)The soundtrack, that includes Zimmer's rating and John and Rice's songs, was launched digitally on July 11, 2019, and will likely be bodily on July 19, 2019.[[46]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-Soundtrack-46)
Beyoncé additionally produced and curated an album titled The Lion King: The Gift, which can characteristic "Spirit", in addition to songs impressed by the movie. The album is about to be launched on July 19, 2019.[45]#cite_note-TheGift-45)

Advertising

The primary teaser trailer and the official teaser poster for The Lion King debuted throughout the annual Dallas Cowboys' Thanksgiving day came on November 22, 2018.[47]#citenote-EWTeaser-47)[[48]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-VarietyTeaser-48) The trailer was seen 224.6 million occasions in its first 24 hours, turning into the then 2nd most viewed trailer in that time period.[[49]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-TrailerViews-49) A particular sneak peek that includes John Kani's voice as Rafiki) and a brand new poster have been launched in the course of the 91st Academy Awards on February 24, 2019.[[50]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-50) On April 10, 2019, Disney launched the official trailer that includes new footage which revealed Scar), Zazu, Simba and Nala) (each as cubs and as adults), Sarabi, Rafiki), Timon and Pumbaa and the hyenas.[[51]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-51) The trailer was seen 174 million occasions in its first 24 hours, which was revealed on Disney's Investor Day 2019 Webcast.[[52]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-52) On Could 30, 2019, 11 particular person character posters have been launched.[[53]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-53) A particular sneak peek that includes Beyoncé, Billy Eichner, and Seth Rogen's voices as Nala), Timon, and Puma respectively, was launched on June 3, 2019.[[54]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-54) A particular sneak peek that includes Beyoncé and Donald Glover's voices as Simba and Nana singing) "Can You Feel the Love Tonight" and in addition that includes James Earl Jones' voice as Mufasa, was launched on June 20, 2019.[[55]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-55) On July 2, 2019, Disney launched an intensive behind-the-scenes featurette detailing the varied points of the movie's manufacturing together with seven publicity stills that include the voice actors going through their animal counterparts.[[56]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-56)

Shot-for-shot declare

The trailers of the movie led to a declaration of its being a shot-for-shot remake of Disney's 1994 movie. On December 23, 2018, Sean Bailey, Disney's President of Manufacturing, mentioned that whereas the movie will "revere and love these elements that the viewers desires", there will likely be "issues within the film which might be going to be new".[40]#citenote-ScreenRant-40) On April 18, 2019, Favreau acknowledged that "some photographs within the 1994 animated movie are so iconic" he could not presumably change them, however "regardless of what the trailers counsel, this movie isn't just the identical film over once more",[[57]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-57) and later mentioned "it is for much longer than the unique movie. And a part of what we're doing right here is to (give it extra dimension) not simply visually however each story smart and emotionally."[[58]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-58) On Could 30, 2019, Favreau mentioned that a number of the humour and characterizations are being altered to be extra according to the remainder of the movie,[[59]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-59) and this remake is making some adjustments in sure scenes from the unique movie, in addition to in its construction.[[21]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-FavreauVideoGame-21)On June 14, 2019, Favreau mentioned that, whereas the unique movie's fundamental plot factors will stay unchanged within the remake, the movie will largely diverge from the unique model, and hinted that the Elephant Graveyard, the hyenas' lair within the authentic movie, will likely be changed by a brand new location.[[13]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-DirectorHyenas-13) On July 5, 2019, the movie was revealed to have a 118 minutes period, making it roughly 30 minutes longer than the unique movie.[[60]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-60)

Launch

The Lion King premiered in Hollywood on July 9, 2019.[61]#citenote-61) The movie is scheduled to be theatrically launched in America on July 19, 2019.[[62]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-62) It will likely be one of many first theatrical movies to be launched on Disney+, alongside Aladdin), Toy Story 4, Frozen 2, Captain Marvel), and Avengers: Endgame.[[63]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-63)
The movie started its worldwide rollout per week earlier than its home launch, beginning with July 12 in China.[64]#cite_note-ChinaPreview-64)

Reception

Field workplace

Starting on June 24, 2019 (which marked the 25th anniversary of the discharge of the unique movie), in its first 24 hours of pre-sales, The Lion King grew to become the second-best pre-seller of 2019 on Fandango) in that body (behind Avengers: Endgame), whereas Atom Tickets reported it gave their best-ever first-day gross sales for a household movie.[65]#citenote-Presales_record-65) Three weeks previous to its launch, business monitoring projected the movie would gross $150–170 million in its home opening weekend.[[66]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-66)[[67]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-67)
In China, the place it launched per week previous to the U.S., the movie was projected to debut to $50–60 million.[64]#citenote-ChinaPreview-64) It ended up opening to $54.7 million, beating the debuts of The Jungle Ebook and Magnificence and the Beast.[[68]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-68)

https://preview.redd.it/5xzol8ylhga31.jpg?width=700&format=pjpg&auto=webp&s=4a3aedd277ee3550808bfb314624587b23ed71b2

Vital response

On review aggregator web site Rotten Tomatoes, the movie holds an approval ranking of 59% based mostly on 123 evaluations, and an average rating of 6.45/10. The web site's important consensus reads, "Although it may take satisfaction in its visible achievements, this reimagined The Lion King is a by the numbers retelling that lacks the power and coronary heart that made the unique so beloved – although for some followers that will simply be sufficient."[69]#citenote-69) Metacritic gave the movie a weighted common rating of 57 out of 100 based mostly on 38 critics, indicating "blended or common evaluations".[[70]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-70)
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Kenneth Turan on the Los Angeles Times referred to like the movie "polished, satisfying leisure."[71]#citenote-71) Todd McCarthy at The Hollywood Reporter thought-about it to be inferior to the unique, noting, "The movie's aesthetic warning and predictability start to put on down on your entire enterprise within the second half."[[72]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-72) At The Guardian, Peter Bradshaw discovered the movie "watchable and pleasing. However, I missed the simplicity and vividness of the unique hand-drawn pictures."[[73]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-73)
A. A. Dowd, writing for The A.V. Club, summarized the movie as "Joyless, artless, and perhaps soulless, it transforms some of the putting titles from the Mouse Home vault into a really costly, star-studded Disneynature movie." Dowd bemoaned the movie's insistence on realism, commenting, "We're watching a hole bastardization of a blockbuster, without delay fully reliant on the viewers' pre-established affection for its predecessor and unusually decided to jettison a lot of what made it particular."[74]#citenote-74) Scott Mendelson at Forces condemned the movie as a "crushing disappointment": "At nearly each flip, this redo undercuts its personal melodrama by downplaying its personal feelings."[[75]](https://en.wikipedia.org/wiki/The_Lion_King(2019film)#cite_note-75) David Ehrlich of IndieWire panned the movie, writing, "Unfolding just like the world's longest and least convincing deep fake, Jon Favreau's (nearly) photorealistic remake of The Lion King is supposed to characterize the following step in Disney's circle of life. As an alternative, this soulless chimera of a movie comes off as little greater than a glorified tech demo from a grasping conglomerate — a well-rendered however creatively bankrupt self-portrait of a film studio consuming its personal tail."[[76]](https://en.wikipedia.org/wiki/The_Lion_King(2019_film)#cite_note-76)
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