Swing Trading: An antidote for frustrated traders

1#Estratégia, setup de análise técnica p/ Bitcoin, criptomoedas, forex, ações day e swing trade - Dicas sobre Bitcoin - mais rápido rápido

1#Estratégia, setup de análise técnica p/ Bitcoin, criptomoedas, forex, ações day e swing trade - Dicas sobre Bitcoin - mais rápido rápido submitted by infocryptocoins to CertificadoDigital [link] [comments]

That Time I Gained 337.59% In One Week - Storytime

Just a quick story on my biggest gain in one week, which I'll more than likely never do again because my risk tolerance is not as high anymore.
But before: I highly discourage anyone especially the newbies on here to risk as much or trade in the following manner.
It was late May and I was popping off from paper trading, I must've hit 20+ take profits with no losses. I was growing a demo that I started with $70 two weeks prior and I was already at like $623 lmao, in only two weeks??? So of course I thought I was a god.
I saw some better trades coming up and decided it was time to get back in the market with some real money. I had $75 from freelancing, I got $60 as a covid grant from the government and my mom gave me another $60 to trade in the casino (Forex Market). So it was time.
I got into trades Sunday night (May 31) as soon as the market opened and they were already doing well the next morning. Here's a screenshot I sent showing off my gross trading prowess and the positions I had opened: https://imgur.com/a/GFrcLEu
I stayed diligent and took my setups just as I would in demo, and fast forward: https://imgur.com/a/5JwIDl3
I got way too overwhelmed and closed some shortly after, and ended the week with no losses, 1155.5 pips, 9 trades completed and net $651.41. I thought I was the best trader ever but luckily I withdrew half of it and took my steady, inevitable losses after :)
Here's all the trades I had made (I didn't know about myfxbook but I had recorded all my trades in a nice little excel sheet to help me with risk and I still do - I'm currently making it into a nice little software): https://imgur.com/a/RNtt5wz
The statistics from excel: https://imgur.com/a/8gQlFBU
Strategies: Breakouts, Swings (S/R) and Trends.
Risk Tolerance: I was literally risking about 25% of my account on trades and whenever the trade took off, I considered it 0% risk so I could re-enter more so I didn't have to wait until close.
Why I probably will never gain this much in a week again:
  1. Risking 25% on a trade is downright awful unless your account is super small.
  2. Deeming a trade 0% risk is never true unless you have your sl in profit (most times I didn't).
  3. I'm okay with not gaining quickly, now I'm just about protecting my capital.
What I learnt:
I did take some good trades so there's not much I could've learnt, the weeks after though did teach me:
  1. Not to risk that much on trades
  2. Go for slow and steady gains
  3. Stay out of the market as much as possible.
TLDR: I went from $193.48 - $846.64 in one week by taking big dick risks and then lost half of it later, lol.
submitted by proskaterlegend to Forex [link] [comments]

T480s for day trading? Or x1 carbon

Hello. I am a MacBook user looking to pick up a thinkpad for a windows laptop to run mt4 off of. Will the t480s specs left on Lenova be efficient for day trading and hooking up to an UltraWide monitor or should I go with the carbon?
submitted by Tamta3140 to thinkpad [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]

Gold and Silver rocket ride - 110k in 1 month

Gold and Silver rocket ride - 110k in 1 month
IMPORTANT: OVER 75% OF PEOPLE LOSE MONEY WITH CFD TRADING. IF YOU'RE A NOOB, DON'T EVEN THINK OF OPENING A CFD ACCOUNT. TRY MAKING CONSISTENT MONEY SWING TRADING ASX STONKS FIRST. THEN KEEP DOING THAT UNTIL YOU GET BORED AND WANT TO LOSE BIG MONEY VERY QUICKLY. ONLY THEN YOU MAY HAVE WHAT IT TAKES TO TRADE WITH LEVERAGE.
You most likely don't have my discipline and pain tolerance. Or my feel for risk/reward math. On top of this you need markets to play nice and a bit of luck.
I'm no wiz, but I know my strengths and weaknesses. I smell a good setup and prepare accordingly.
Hope you all nail your big opportunity when it shows up. If not, that's okay too. You'll keep getting chances. Be patient. Focus on small wins. Plus there's far more important things in life than being loaded.
------
How I lost 5k trading CFDs then turned it around
Back in April, I was playing with CFDs and nearly blew up my account. Started with $5k and dropped to almost zero because trading forex with leverage is a very stupid game. This is why IG gives you a demo account. But instead of using the demo account to learn how not to fuck up massively, I was using it to place giant YOLO shorts on US markets.
By being a bit less retarded on the forex trades I clawed back some losses then topped up the account with another $2.5k before starting to open small positions in gold. From 3 to 10 contracts depending on how confident I felt. Then smelling a massive opportunity, I ramped up the leverage by going with much larger positions.
Day 5
https://preview.redd.it/oqd955abwak51.png?width=1080&format=png&auto=webp&s=84aa309284c22117630899e39b8b1bfb89c670f3
Entering the silver trade
It was only after making decent profits in gold that I dared venture into silver. I wanted to enter silver around $18 but missed the boat after waiting too long for a dip. $20 was still great. Tons of upside left.
Silver is one nasty motherfucker to trade. It's a much smaller market than gold so the swings can be wild. Silver will play along nicely then suddenly fuck you really hard. If you use too much leverage you're basically waiting for your account to blow up. Stop losses will save you, but they can also kill your best trades. I didn't bother with stops for most of the ride because I'm an ASX_bets retard but also because I had ultra high conviction in the $25-27 price target.
Started with 25 contracts. I very nearly missed out on this mini pump. Some might call it luck.
Day 18
https://preview.redd.it/de8jozlexak51.png?width=1080&format=png&auto=webp&s=79d174c67a86754c7d9fd78aa594f88282c08834
Adding to my silver positions
Increased my position size once I had a profit buffer to protect against sharp drops. It's WAY easier to blow up a CFD account than it appears. When trades are going well you feel like you can keep adding leverage and make millions. But even small swings will kill you if your positions are too big. Discipline is key.
Buying 50 contracts in silver is not the same as 50 contracts in gold because silver moves are 2-4 times bigger. When gold moves 100 points, expect a 200-400 points move in silver. Having an equal mix of gold an silver contracts helped lower the overall volatility of my account.
Anything over 10 contracts in silver is big. You can lose hundreds within minutes. Buy 50 contracts, the price drops $1 and you're $5000 in the hole. I knew when to push and when to hold back. This was EXTREMELY important. I did not get greedy. I was happy to let price moves do most of the lifting.
Started the day with 3k profits. Went to bed that night with big beautiful bhags. 17k
https://preview.redd.it/qcbeoxvnxak51.png?width=1080&format=png&auto=webp&s=4228593b9d86cc5f0460f44af06c7292ea644625
Day 19
Woke up the next morning with even bigger bhags. 30k
https://preview.redd.it/9b439y5qxak51.png?width=1080&format=png&auto=webp&s=19e3ad27d7237bc88fdeb329ebcd113e11349554
Day 24
More pump. I added 50 silver contracts that day after a decent drop. Profits now up to around 41k.
Held through the big swings...
Like a proper bitch, Silver dropped another 5% soon after I added those 50 contracts and my 41k profit became 20k very suddenly. But no stop loss and I held firmly. What's a 21k drop when you've been down 35k on BBOZ before. Metals bounced back hard later that evening. Still not selling. High conviction made all the difference here.
Five days later and I was up to 50k profit.
At that point, I felt safe enough to add another 50 contracts.
https://preview.redd.it/j2at0n95zck51.png?width=1080&format=png&auto=webp&s=4a0ea2fabe6a245807fb9ee8a8d0bc4ce854ba3a
And it paid off BIG
Both gold and silver keep pumping. Profit now 86k.
Day 28
https://preview.redd.it/f3pz0an8zck51.png?width=1080&format=png&auto=webp&s=0ca765b6cad423786dee33a1366c70d324e39b8d
Why sell now?
Not selling yet. GV's silver target was $25-27 so I was confident holding through some wild swings.
GV = Gold Ventures https://twitter.com/thelastdegree
A turbo chad from Belgium who made a massive fortune trading options during 2008-2011 when silver went from $9 to $50 before crashing hard. GV is a certified wizard when it comes to timing the gold and silver cycles. Started with his wife's 32k savings and is now worth 18 million EUR or USD, I'm not sure and who cares. GV is pretty low key but commands plenty of respect from other metal traders on Twitter.
Meanwhile GV was on holiday but still shitting money.
https://preview.redd.it/ixsxwjx30dk51.png?width=1080&format=png&auto=webp&s=9fd5741634a7a5b0f913f5ea12edf05722f9fddf
GV also has a junior miner portfolio worth several millions. I believe it's true. I went deep into his Twitter history. He was buying heavily into the March crash and some of his picks like AbraPlata have since made 10x. Junior miners are like call options on metal prices with no expiry date but you still need to pick winners and enteexit at the right time.
Magical Six Figure Milestone
Not long after... BOOM! Hit 100k in profit.
When starting, I knew there was potentially 40k-50k to be made from this setup even without playing it perfectly. I would have been okay with 20k.
Day 32
https://preview.redd.it/oy8sqsgz1dk51.png?width=1080&format=png&auto=webp&s=a8c628670578b81d72b9a41bd9d2307a27a2fbf7
Start taking profits
Silver was still going strong but I felt it was time to de-risk.
So I started taking profits on both gold and silver around that time.
https://preview.redd.it/gvdqs67a2dk51.png?width=1080&format=png&auto=webp&s=64a77d3ccca86fe6e29eb43e0c2eaf096f68867c
Okay I'm out
The way silver kept pumping, I knew a big correction was imminent. By 12pm I was completely out with over 110k profit. Home and dry.
I went on with my daily work routine, a bit more relaxed and not checking charts every 5 minutes.
And then metals dumped hard.
There was money to be made on the short side but there was also a strong possibility of shorts being squeezed. So I didn't bother.
https://preview.redd.it/opoio79i2dk51.png?width=1080&format=png&auto=webp&s=80187384d37e03eec8d01814248bbe4c5a48cc4f
After the dump, I had no appetite to get back in with big positions. In hindsight I could have made tons more if I held to $29 but the ride from $24 to $29 is far more risky than $20 to $26. I'm quite okay with my 40x performance. Plus I needed to reset mentally after this rocket ride. More often than not, the best thing to do after a huge trading win is to take a break. Wisdom gained from the BBOZ days :)
Withdrew my initial capital and 90% of the profits from IG. Left around 6k on the account to keep playing.
https://preview.redd.it/1djdhz1m2dk51.jpg?width=1080&format=pjpg&auto=webp&s=c028a06d4e0cf73bfb80f8ac48dd18e333b791d4
Feels good to have extra funds to invest with but I also need to set some aside for the monster tax bill next year. You're welcome Australia, and all the JobSeekeJobKeeper leeches.
Hey everyone, check out my insane stats!
That 85% win rate though...
  • IG MARKETS - TRADE ANALYTICS - 29 JUNE TO 29 JULY
https://preview.redd.it/slkmhrlq2dk51.png?width=1272&format=png&auto=webp&s=b15b261144d3cd55c1d28530a80efd30c49f3125
Less impressive when zooming out to include the forex train wreck in April and my more recent metal trades.
  • IG MARKETS - TRADE ANALYTICS - 1 JANUARY TO 17 AUGUST
https://preview.redd.it/jam28zau2dk51.png?width=1272&format=png&auto=webp&s=99fd332c319984f1de28d1ec7e6a58df2754946d
-----
Credits to:
https://twitter.com/thelastdegree - already covered above
https://twitter.com/DaveHcontrarian - called the metals and S&P500 bull runs
https://twitter.com/AdamMancini4 - simple yet powerful charts
https://twitter.com/badcharts1 - advanced silver charts
https://twitter.com/graddhybpc - advanced gold and silver charts
https://twitter.com/Northst18363337 - another master of charts
https://twitter.com/bhagdip143 - ultimate master of monster position and making bhags
BTW fuck Facebook groups, you'll hardly learn anything there. Full of losers. Twitter is where the elite traders and big dick fund managers bounce ideas. A solid Twitter list is worth thousands if not millions in the right hands.
submitted by _HeyHeyHeyyy_ to u/_HeyHeyHeyyy_ [link] [comments]

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7. Instagram Mastery and Monetization – Josue Pena
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submitted by Coursesgood to u/Coursesgood [link] [comments]

When will we bottom out?

PART 2 : https://www.reddit.com/wallstreetbets/comments/g0sd44/what_is_the_bottom/
PART 3: https://www.reddit.com/wallstreetbets/comments/g2enz2/why_the_printer_must_continue/
Edit: By popular demand, the too long didn't read is now at the top
TL;DR
SPY 220p 11/20
This will likely be a multi-part series. It should be noted that I am no expert by any means, I'm actually quite new to this, it is just an elementary analysis of patterns in price and time. I am not a financial advisor, and this is not advice for a person to enter trades upon.
The fundamental divide in trading revolves around the question of market structure. Many feel that the market operates totally randomly and its’ behavior cannot be predicted. For the purposes of this DD, we will assume that the market has a structure, but that that structure is not perfect. That market structure naturally generates chart patterns as the market records prices in time. We will analyze an instrument, an exchange traded fund, which represents an index, as opposed to a particular stock. The price patterns of the various stocks in an index are effectively smoothed out. In doing so, a more technical picture arises. Perhaps the most popular of these is the SPDR S&P Standard and Poor 500 Exchange Traded Fund ($SPY).
In trading, little to no concern is given about value of underlying asset. We concerned primarily about liquidity and trading ranges, which are the amount of value fluctuating on a short-term basis, as measured by volatility-implied trading ranges. Fundamental analysis plays a role, however markets often do not react to real-world factors in a logical fashion. Therefore, fundamental analysis is more appropriate for long-term investing.
The fundamental derivatives of a chart are time (x-axis) and price (y-axis). The primary technical indicator is price, as everything else is lagging in the past. Price represents current asking price and incorrectly implementing positions based on price is one of the biggest trading errors.
Markets ordinarily have noise, their tendency to back-and-fill, which must be filtered out for true pattern recognition. That noise does have a utility, however, in allowing traders second chances to enter favorable positions at slightly less favorable entry points. When you have any market with enough liquidity for historical data to record a pattern, then a structure can be divined. The market probes prices as part of an ongoing price-discovery process. Market technicians must sometimes look outside of the technical realm and use visual inspection to ascertain the relevance of certain patterns, using a qualitative eye that recognizes the underlying quantitative nature
Markets rise slower than they correct, however they rise much more than they fall. In the same vein, instruments can only fall to having no worth, whereas they could theoretically grow infinitely and have continued to grow over time. Money in a fiat system is illusory. It is a fundamentally synthetic instrument which has no intrinsic value. Hence, the recent seemingly illogical fluctuations in the market.
According to trade theory, the unending purpose of a market is to create and break price ranges according to the laws of supply and demand. We must determine when to trade based on each market inflection point as defined in price and in time as opposed to abandoning the trend (as the contrarian trading in this sub often does). Time and Price symmetry must be used to be in accordance with the trend. When coupled with a favorable risk to reward ratio, the ability to stay in the market for most of the defined time period, and adherence to risk management rules; the trader has a solid methodology for achieving considerable gains.
We will engage in a longer term market-oriented analysis to avoid any time-focused pressure. The market is technically open 24-hours a day, so trading may be done when the individual is ready, without any pressing need to be constantly alert. Let alone, we can safely project months in advance with relatively high accuracy.
Some important terms to keep in mind:
§ Discrete – terminal points at the extremes of ranges
§ Secondary Discrete – quantified retracement or correction between two discrete
§ Longs (asset appreciation) and shorts (asset depreciation)
- Technical indicators are often considered self-fulfilling prophecies due to mass-market psychology gravitating towards certain common numbers yielded from them. That means a trader must be especially aware of these numbers as they can prognosticate market movements. Often, they are meaningless in the larger picture of things.
§ Volume – derived from the market itself, it is mostly irrelevant. The major problem with volume is that the US market open causes tremendous volume surges eradicating any intrinsic volume analysis. At major highs and lows, the market is typically anemic. Most traders are not active at terminal discretes because of levels of fear. Allows us confidence in time and price symmetry market inflection points, if we observe low volume at a foretold range of values. We can rationalize that an absolute discrete is usually only discovered and anticipated by very few traders. As the general market realizes it, a herd mentality will push the market in the direction favorable to defending it. Volume is also useful for swing trading, as chances for swing’s validity increases if an increase in volume is seen on and after the swing’s activation.
Therefore, due to the relatively high volume on the 23rd of March, we can safely determine that a low WAS NOT reached.
§ VIX – Volatility Index, this technical indicator indicates level of fear by the amount of options-based “insurance” in portfolios. A low VIX environment, less than 20 for the S&P index, indicates a stable market with a possible uptrend. A high VIX, over 20, indicates a possible downtrend. However, it is equally important to see how VIX is changing over time, if it is decreasing or increasing, as that indicates increasing or decreasing fear. Low volatility allows high leverage without risk or rest. Occasionally, markets do rise with high VIX.
As VIX is unusually high, in the forties, we can be confident that a downtrend is imminent.
– Trend definition is highly powerful, cannot be understated. Knowledge of trend logic is enough to be a profitable trader, yet defining a trend is an arduous process. Multiple trends coexist across multiple time frames and across multiple market sectors. Like time structure, it makes the underlying price of the instrument irrelevant. Trend definitions cannot determine the validity of newly formed discretes. Trend becomes apparent when trades based in counter-trend inflection points continue to fail.
Downtrends are defined as an instrument making lower lows and lower highs that are recurrent, additive, qualified swing setups. Downtrends for all instruments are similar, except forex. They are fast and complete much quicker than uptrends. An average downtrend is 18 months, something which we will return to. An uptrend inception occurs when an instrument reaches a point where it fails to make a new low, then that low will be tested. After that, the instrument will either have a deep range retracement or it may take out the low slightly, resulting in a double-bottom. A swing must eventually form.
A simple way to roughly determine trend is to attempt to draw a line from three tops going upwards (uptrend) or a line from three bottoms going downwards (downtrend). It is not possible to correctly draw an uptrend line on the SPY chart, but it is possible to correctly draw a downtrend – indicating that the overall trend is downwards.
Now that we have determined that the overall trend is downwards, the next issue is the question of when SPY will bottom out.
Time is the movement from the past through the present into the future. It is a measurement in quantified intervals. In many ways, our perception of it is a human construct. It is more powerful than price as time may be utilized for a trade regardless of the market inflection point’s price. Were it possible to perfectly understand time, price would be totally irrelevant due to the predictive certainty time affords. Time structure is easier to learn than price, but much more difficult to apply with any accuracy. It is the hardest aspect of trading to learn, but also the most rewarding.
Humans do not have the ability to recognize every time window, however the ability to define market inflection points in terms of time is the single most powerful trading edge. Regardless, price should not be abandoned for time alone. Time structure analysis It is inherently flawed, as such the markets have a fail-safe, which is Price Structure. Even though Time is much more powerful, Price Structure should never be completely ignored. Time is the qualifier for Price and vice versa. Time can fail by tricking traders into counter-trend trading.
Time is a predestined trade quantifier, a filter to slow trades down, as it allows a trader to specifically focus on specific time windows and rest at others. It allows for quantitative measurements to reach deterministic values and is the primary qualifier for trends. Time structure should be utilized before price structure, and it is the primary trade criterion which requires support from price. We can see price structure on a chart, as areas of mathematical support or resistance, but we cannot see time structure.
Time may be used to tell us an exact point in the future where the market will inflect, after Price Theory has been fulfilled. In the present, price objectives based on price theory added to possible future times for market inflection points give us the exact time of market inflection points and price.
Time Structure is repetitions of time or inherent cycles of time, occurring in a methodical way to provide time windows which may be utilized for inflection points. They are not easily recognized and not easily defined by a price chart as measuring and observing time is very exact. Time structure is not a science, yet it does require precise measurements. Nothing is certain or definite. The critical question must be if a particular approach to time structure is currently lucrative or not.
We will complete our analysis of time by measuring it in intervals of 180 bars. Our goal is to determine time windows, when the market will react and when we should pay the most attention. By using time repetitions, the fact that market inflection points occurred at some point in the past and should, therefore, reoccur at some point in the future, we should obtain confidence as to when SPY will reach a market inflection point. Time repetitions are essentially the market’s memory. However, simply measuring the time between two points then trying to extrapolate into the future does not work. Measuring time is not the same as defining time repetitions. We will evaluate past sessions for market inflection points, whether discretes, qualified swings, or intra-range. Then records the times that the market has made highs or lows in a comparable time period to the future one seeks to trade in.
What follows is a time Histogram – A grouping of times which appear close together, then segregated based on that closeness. Time is aligned into combined histogram of repetitions and cycles, however cycles are irrelevant on a daily basis. If trading on an hourly basis, do not use hours.
Yearly Lows: 12/31/2000, 9/21/2001, 10/9/2002, 3/11/2003, 8/2/2004, 4/15/2005, 6/12/2006, 3/5/2007, 11/17/2008, 3/9/2009, 7/2/10, 10/3/11, 1/1/12, 1/1/13, 2/3/14, 9/28/15, 2/8/16, 1/3/17, 12/24/18, 6/3/19
Months: 1, 1, 1, 2, 2, 3, 3, 3, 4, 6, 6, 7, 8, 9, 9, 10, 10, 11, 12, 12
Days: 1, 1, 2, 2, 3, 3, 3, 3, 5, 8, 9, 9, 11, 12, 15, 17, 21, 24, 28, 31
Monthly Lows: 3/23, 2/28, 1/27, 12/3, 11/1, 10/2, 9/3, 8/5, 7/1, 6/3, 5/31, 4/1
Days: 1, 1, 1, 2, 3, 3, 3, 5, 23, 27, 27, 31
Weighted Times are repetitions which appears multiple times within the same list, observed and accentuated once divided into relevant sections of the histogram. They are important in the presently defined trading time period and are similar to a mathematical mode with respect to a series. Phased times are essentially periodical patterns in histograms, though they do not guarantee inflection points*.*
We see that SPY tends to have its lows between three major month clusters: 1-4, primarily March (which has actually occurred already this year), 6-9, averaged out to July, and 10-12, averaged out to November. Following the same methodology, we get the third and tenth days of the month as the likeliest days. However, evaluating the monthly lows for the past year, the end of the month has replaced the average of the tenth. Therefore, we have four primary dates for our histogram.
7/3/20, 7/27/20, and 11/3/20, 11/27/20 .
How do we narrow this group down with any accuracy? Let us average the days together to work with two dates - 7/15/20 and 11/15/20.
The 8.6-Year Armstrong-Princeton Global Economic Confidence model – states that 2.15 year intervals occur between corrections, relevant highs and lows. 2.15 years from the all-time peak discrete is April 14th of 2022. However, we can time-shift to other peaks and troughs to determine a date for this year. If we consider 1/28/2018 as a localized high and apply this model, we get 3/23/20 as a low - strikingly accurate. I have chosen the next localized high, 9/21/2018 to apply the model to. We achieve a date of 11/14/2020.
The average bear market is eighteen months long, giving us a date of August 19th, 2021 for the end of the bear market - roughly speaking.
Therefore, our timeline looks like:
As we move forward in time, our predictions may be less accurate. It is important to keep in mind that this analysis will likely change and become more accurate as we factor in Terry Laundry’s T-Theory, the Bradley Cycle, a more sophisticated analysis of Bull and Bear Market Cycles, the Fundamental Investor Cyclic Approach, and Seasons and Half-Seasons.
I have also assumed that the audience believes in these models, which is not necessary. Anyone with free time may construct histograms and view these time models, determining for themselves what is accurate and what is not. Take a look at 1/28/2008, that localized high, and 2.15 years (1/4th of the sinusoidal wave of the model) later.
The question now is, what prices will SPY reach on 11/14? Where will we be at 7/28? What will happen on 4/14/22?
submitted by aibnsamin1 to wallstreetbets [link] [comments]

The apex in now in sight. Final preparations for the crash.

I think the market will top in the next five trading days (Final week of May), and in the next 10 trading days volatility will again take centre stage.

The last time I took a pop at a big bold calling of the exact high price and exact day was February 12th, 2020. The market went up a tiny bit more from there. There was a weak uptrend that lasted about a week, and then the market came down. I think we’re now at the same point we were on the 12th of February. In the final days before chaos is unleashed.
At this point I think the high in the market will be made sometime between Friday the 29th of May, 2020 and Tuesday the second of June, 2020. I think the high price on the SPX will be at, or very close to, 3080. I think the drop that follows this will be a bit over 1,920 points. This gives a target price of 1160 (And I’ll take 1225 to front run this).
Over the week ahead I’m going to make a superhuman effort to provide all the things I think are needed to benefit during this. This will include my analysis, generic strategies and my jackpot trades paying over 1:100. Early in the week that follows I’ll talk through positions I am taking expecting the high. From the start of the week after that, I think the market falls.
I think the market will take about a week to get to 2500 area. From there we’ll see a small bullish week back to around 2700. After this the strong market crash will begin. This would imply there being bad news around the 6 - 8th of June and this followed by worse news around the 21st to 23rd of June. Capitulation will start around the 24th - 25th of June. During this there will be some bull days, and we should sell into these bull days.
Once the market starts to fall the time I can allocate to providing free information is going to drop to very close to zero. There’ll be some stuff I copy and paste talking about what I am doing. There may be some end of days (Or weekends) where I can do detailed write ups. I’ll be able to maintain fairly good tracking of swing positions, but not intra-day/week.
When the market starts to move 99.9% of my attention will have to be entirely focused on the management of my own trades and ensuring people who I have as clients are well prepared and fully updated as things develop. Once the market is falling I’ll be accepting no new clients. I won’t be able to be contacted until I think the low has been made.
Please understand this is not rudeness, but when the market is moving - that’s when I do my job. I can talk about things before them and after them, not during them.

Itinerary of content I aim to cover in the week ahead.
(I’ll link these in this post as they’re completed. So bookmark this)
Analysis;
Strategies;
Jackpot trades;
Individual swing trades paying between $70,000 - $150,000 for each $500 - $1,000 risked.

Psychology;
How to keep your mind while everyone around you loses theirs.

Things I’ll setup to track trading plans

Free Stuff:
Discord view only server covering swing trading plans. This will include;

Paid Stuff:
During the fall I’m only going to be able to continue to provide weekly and daily trade plans if people pay for it. The reason for this is, for it to be viable for me, I’m going to have to hire people to do the leg work in managing this. I won’t have time to do it all myself. I’m charging you to cover the costs I’ll incur to give it to you.

I’ll setup a discord server with;

Redacted



To join the paid discord server will cost you only $50, but it is only open to join until the market starts to fall. I’ll accept new people during the next 3 weeks. Once the market starts to fall, I’ll edit this post to remove this section, and will not accept anyone new. If the market does not fall within 8 weeks from today - my plan is not working. I’ll refund all payments/close the server.
There are some people here to call me a scammer. I’d suggest you do not send me the $50 if you’ve not already gotten at least $50 of value out of what I’ve shared. I’m going to keep on doing the same thing. Personally, I think i should be charging over 100* what I am, but I suppose value is very subjective.

I’ll accept payments for this only via Paypal (Much easier if I end up refunding). To join this;
1 - Send $50 to PayPal email: [Redacted. People are more hassle than it's worth to help]
2 - Send payment transaction number via email to the same email address.
Links to join will be sent to you. Please allow for some time, but should usually be within a few hours.


I’m going to do my best to try to get through as many of my messages here as possible over the weekend (Currently seems to be about 50 pending, so no promises). By end of next week I’ll probably not be reading/replying to any messages, and by the week after I’ll probably also not be reading replies to threads/username mentions etc.
I want to make sure everyone fully understands that and is prepared for it. During the week ahead I’ll bombard you with everything I think you need to understand what is happening, and while it is happening I’ll be non-contactable publicly. This will remain the case until I think we’re in at the low - and then I’ll again have time to be chatty.
Relevant links will be added to this post to refer to different things (Plans, strategies and so on). So bookmark this thread and then you can use it as a master thread to find everything (I think) will be important.
I think we have just 10 more trading days until this starts. 10 days where the market is fairly dull and boring, and then months and months of work starts to all come together over a matter of minutes. I’d suggest at this time it would be especially prudent to take actions to protect yourself from any lasting exposure to this. Real world and digital. Put foam on the runway.
submitted by 2020sbear to u/2020sbear [link] [comments]

Statistical Edge Trading

Statistical Edge Trading

Statistical Edge Trading

Have you ever traded with statistical edge? Our Allen trade talks about backing up the trading network and leveraging it from excellent newspapering. This is a stage that is undermined by many traders but fairly, it can be a crucial factor in boosting your trust and believing in your system. For those interested in this sort of research, you can check out the FTMO Statistical Application.
Trading with a Statistical edge
Although many traders back-test and record their trades to verify the trading system 's feasibility, monitoring and using the data to maximize both your stop loss and profit goal is a tremendous advantage. Two of the most critical pieces of data that I record when reporting trades is the drawdown and the benefit potential.

The drawdown, to be sure, is how far a trade goes against my place before it goes in my favour.

Whereas the benefit potential is the maximum distance from my entry which the trade moves in my favor. It isn't important and it's uncommon, in general, that I actually exit the trade. Yet definitely coming out at or as close as can be.
Firstly, I record my trades in two ways, using screenshots of the charts themselves where I annotate my entry, date, type of trade and all other relevant details related to my methodology, such as strength and weakness analysis , multiple time frame analysis and correlation. I also note on the map the drawdown and benefit potential of the trade.

Then I go through my Excel spreadsheet with main details. See "excel" below.

Excel spreadsheet with main details.

This includes the date, day, session, pair, time, route, entry price, closing price, type of setup, type of entry, type of exit, drawdown, potential for benefit and outcome. I then let excel do all the heavy lifting for myself as I can sort my trades numerous ways, by day, by session, by pair, by route, by type of set-up etc.

But where the really cool stuff is under the "Mind-blowing stats" tab where I have some of the above filterable statistics that will help me to optimize both my stop loss and my benefit goal.

Here is a summary of the specification.

When you use a risk percentage account to calculate your position size (as you should), so the lower the pause, the larger a position size you will trade in. The stop must, therefore, have a high likelihood of remaining. The vast majority of trading books, guides, videos, etc., advise that after a recent high / low swing, the stop will be many pips.

But my trade documents helped me to come up with a statistical advantage for my stoppage placement.

As can be seen in the "Drawdown" tag, Trading my Type 1 BO (breakout out) on GBPAUD, 79.55 percent of the time my drawdown was less than 25 pips, although it was just 81.82 percent at 30 pips and 84.09 percent at 35 pips.

Statistical Edge Trading
So when using a larger pause, an extra loss or 2, the advantage of having a greater size of the place and thereby netting more money makes the extra loss(s) inconsequential.

Furthermore, the income goal can also be optimized.

Looking at the "Profit Potential" connection and remaining on GBPAUD again for my Type 1 BO trades, we can easily see that almost 80 percent of the time, those trades get between 20 and 30 pips.

Statistical Edge Trading (b)
It is a perfect place to take off 1/2 of the spot and push the stop to flat. So we can let the rest of the half run to about 50 pips where 59.09 percent of the trades touch.

Obviously market conditions aren't always the same, so if you can recognise when they are, i.e. linked moves or strengthening or weakening other classes (commodity pairs or safe haven pairs), then you can make educated decisions about how far a trade will go.

Statistical Edge Trading (meme)

I hope this information 's helpful to you.

Eva " Forex " Canares .
Cheers and Profitable Trading to All.

About FTMO -
They fund forex traders. Just Pass their risk management rules and begin trading for their company. They'll provide you capital up to $300k USD for trading the financial markets. 70% of profits you keep and losses are covered by them. How does it work?
How to Become a Funded Forex ,Stocks or CryptoCurrency Trader?
submitted by Eva_Canares to FTMO_Forex_Trading [link] [comments]

Let me show you how I make money.

Again within 24 hours of trying to work out a way to make this sustainable and workable for everyone I've noticed it's not worth the hassle to do so. It seems a lot of you expect everything for nothing.

I'm afraid that is not going to work for me. Nothing I am doing is free for me, and if people do not want to pitch in the tiniest bit to help with that I can only conclude one of two things;

1 - The info is not worth $50 to you. In which case it is not worth my time writing it.
2 - People are ungrateful. In which case it is not worth my time writing it.

If people were willing to meet me half way, I'd have went a lot further. People seem to want to stand where they are and shout over to me I'm a scammer for not bringing it all to their feet. That's a perspective. You can have it. I do not mind. But if this is your talk, I'll trade in silence. I'll also show you what happens with the "Scammy" info I was going to provide you for $50.
In the week ahead I'll set up an account with a similar amount to the amount of money people seem to think it's egregious to ask for, and I'll run the same trades on this as will be in the trading plans shared in the proposed offer. I'll use recognised results tracking programs that will automatically verify and display the results.

Build up phase:

I'll start with currency trades. These are the lowest barrier to entry since I can trade micro lots and also have access to leverage. Currency trades should give me about 400 'pips' margin of error. Realistically, I should not need more than 40. I think SPX will be up 2 - 4% next week, this should give gains to on the Aussie against the Swiss (AUDCHF) - I'll go long AUDCHF.

Margin up phase:

After the currency trades I should have enough to trade SPX. I'll start to position short on SPX around 3080 and I'll take a first target of 2377. Given the right setups I'll add to my SPX short as prices are falling to bulk up the net take profit on the trade if it works. I'll trail my stops on the first trades to mke sure I'm not increasing my risk .

Big up phase:

By this time I should have enough margin to trade the Dow. Here I can make some real money. Around 21,000 I'll start to short the Dow and I'll be targeting 10,000. This trade should pay me somewhere in the region of $50,000 per traded lot. During the move I should be able to build up a position of at least 4 - 5 lots on the margin I have. Should be over $200,000 if it hits.

Cash flow up phase:

Once the drop has happened, I will begin to go long and do it in ways that will generate me daily income. I'll do this by transferring about $100K into options account and selling puts for 100 SPY. I'll also switch back to currency trades and I'll engage in what are known as "Carry trades", these will pay me every day I hold the trade based upon the "Swap".
The best carry trades will depend upon what respective interest rates are at the time. Assuming things are similar (relatively) to how they currently are, I will be buying the Aussie, Kiwi and Turkish currencies and I'll be selling them against the dollar and Yen. This will be long AUDUSD, NZDUSD, AUDJPY, NZDJPY and short USDTRY. I'll allocate $50,000 to carry trades.

I'll use the remaining money to hedge and offset risks/losses on my cash flow trades if that is needed, and if not I will use it to make similar trades but ones based upon a short time frame and geared towards risk:reward based profit rather than passive cash flow. I'll keep doing this until the Dow is back to around 17,000 - 18,000.

Crash cash phase:

For the next phase of the drop I will again switch to trading the Dow. This is where I can make most money. I might also allocate $100 - 200K to OTM puts, but since this can be a slower more steady crash it will make more sense to build a position in the CFD market on the Dow. Again my Dow trade should pay over $50,000 per lot. This time building up over 20 lots should be fairly easy.

Cash flow decade phase:

Once the market has crashed I will start to become a big options seller. i'll also engage in carry trades if interest rates are not all screwed up (Which is there are 'currency wars' they could be). Being able to be on the right side of a carry trade will determine if this is viable or not - and that has some variables that can not be known at this time. I'd love to be able to just short USDTRY, though. If it's viable.

With options, I will be selling both put options and call options. I think once the crash has happened we will enter into a long term theta market last 10 - 15 years - this period is known as a 'Lost decade)'. I'll sell SPY puts for under the lows and I'll also sell SPY calls each time there is jumps in upside volatility. I'll be happy to sell SPY calls for 200 for literally years on end.

By this time I should have more than $50.

I'll update my swing plans either bi-weekly, weekly or monthly. Pending on how much free time I have. I'll edit this post to add in the results tracking material when I set it up.

Update: Here's the tracking link. http://www.myfxbook.com/members/2020sBeasomething-for-nothing/6040046

I set the copy software to invert trades & the first trades went short AUDCHF rather than long. That puts me on quite a substantial losing start, but it should not matter. Might push the start of SPX trades back a week. Probably won't. Let me just show the value of what I've been trying to teach you.
submitted by 2020sbear to u/2020sbear [link] [comments]

CHFJPY 12h Long - Update

This was a trade I shared two days ago here. I know there are at least a couple of people in this community who are forward testing the same strategy I am using, so I thought sharing some setups and updates would help these people. I will obviously share both wins and losses, as the point of these threads isn't to brag, but to show what I'm looking at.
Here is the updated chart. As you can see, my 23.6% retracement order was filled, but price didn't go low enough to trigger my 38.2% retracement order. Once the market broke through the -38.2% extension level, I deleted the unfilled pending order and let the open position to run.
My target was the -61.8% extension level, or 115.496. If you have been following the threads about my backtesting, I went with the unextended target on this one because I feared the swing high could have provided resistance. Price made its way to my target and hit it a few minutes ago. Momentum seems to be building up, so I wouldn't be surprised if price will move to the extended target, but it happens.
The overall profit in terms of units of risk was 1.56. Your return in terms of percentage will depend on your risk management plan. In my personal account, I am comfortable with higher level of risk, so I would have risked a full 2% on this position. Since I only got partially filled, the trade would have net me 1.56% return.
Do let me know if these threads are useful or if they make me sound bigheaded
submitted by Vanguer to Forex [link] [comments]

Where is Bitcoin Going and When?

Where is Bitcoin Going and When?

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

Stock Market Crash

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

Economic Analysis of Bitcoin

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

Trading or Investing?

The fundamental divide in trading revolves around the question of market structure. Many feel that the market operates totally randomly and its’ behavior cannot be predicted. For the purposes of this article, we will assume that the market has a structure, but that that structure is not perfect. That market structure naturally generates chart patterns as the market records prices in time. In order to determine when the stock market will crash, causing a major decline in BTC price, we will analyze an instrument, an exchange traded fund, which represents an index, as opposed to a particular stock. The price patterns of the various stocks in an index are effectively smoothed out. In doing so, a more technical picture arises. Perhaps the most popular of these is the SPDR S&P Standard and Poor 500 Exchange Traded Fund ($SPY).
In trading, little to no concern is given about value of underlying asset. We are concerned primarily about liquidity and trading ranges, which are the amount of value fluctuating on a short-term basis, as measured by volatility-implied trading ranges. Fundamental analysis plays a role, however markets often do not react to real-world factors in a logical fashion. Therefore, fundamental analysis is more appropriate for long-term investing.
The fundamental derivatives of a chart are time (x-axis) and price (y-axis). The primary technical indicator is price, as everything else is lagging in the past. Price represents current asking price and incorrectly implementing positions based on price is one of the biggest trading errors.
Markets and currencies ordinarily have noise, their tendency to back-and-fill, which must be filtered out for true pattern recognition. That noise does have a utility, however, in allowing traders second chances to enter favorable positions at slightly less favorable entry points. When you have any market with enough liquidity for historical data to record a pattern, then a structure can be divined. The market probes prices as part of an ongoing price-discovery process. Market technicians must sometimes look outside of the technical realm and use visual inspection to ascertain the relevance of certain patterns, using a qualitative eye that recognizes the underlying quantitative nature
Markets and instruments rise slower than they correct, however they rise much more than they fall. In the same vein, instruments can only fall to having no worth, whereas they could theoretically grow infinitely and have continued to grow over time. Money in a fiat system is illusory. It is a fundamentally synthetic instrument which has no intrinsic value. Hence, the recent seemingly illogical fluctuations in the market.
According to trade theory, the unending purpose of a market or instrument is to create and break price ranges according to the laws of supply and demand. We must determine when to trade based on each market inflection point as defined in price and in time as opposed to abandoning the trend (as the contrarian trading in this sub often does). Time and Price symmetry must be used to be in accordance with the trend. When coupled with a favorable risk to reward ratio, the ability to stay in the market for most of the defined time period, and adherence to risk management rules; the trader has a solid methodology for achieving considerable gains.
We will engage in a longer term market-oriented analysis to avoid any time-focused pressure. The Bitcoin market is open twenty-four-hours a day, so trading may be done when the individual is ready, without any pressing need to be constantly alert. Let alone, we can safely project months in advance with relatively high accuracy. Bitcoin is an asset which an individual can both trade and invest, however this article will be focused on trading due to the wide volatility in BTC prices over the short-term.

Technical Indicator Analysis of Bitcoin

Technical indicators are often considered self-fulfilling prophecies due to mass-market psychology gravitating towards certain common numbers yielded from them. They are also often discounted when it comes to BTC. That means a trader must be especially aware of these numbers as they can prognosticate market movements. Often, they are meaningless in the larger picture of things.
  • Volume – derived from the market itself, it is mostly irrelevant. The major problem with volume for stocks is that the US market open causes tremendous volume surges eradicating any intrinsic volume analysis. This does not occur with BTC, as it is open twenty-four-seven. At major highs and lows, the market is typically anemic. Most traders are not active at terminal discretes (peaks and troughs) because of levels of fear. Volume allows us confidence in time and price symmetry market inflection points, if we observe low volume at a foretold range of values. We can rationalize that an absolute discrete is usually only discovered and anticipated by very few traders. As the general market realizes it, a herd mentality will push the market in the direction favorable to defending it. Volume is also useful for swing trading, as chances for swing’s validity increases if an increase in volume is seen on and after the swing’s activation. Volume is steadily decreasing. Lows and highs are reached when volume is lower.
Therefore, due to the relatively high volume on the 12th of March, we can safely determine that a low for BTC was not reached.
  • VIX – Volatility Index, this technical indicator indicates level of fear by the amount of options-based “insurance” in portfolios. A low VIX environment, less than 20 for the S&P index, indicates a stable market with a possible uptrend. A high VIX, over 20, indicates a possible downtrend. VIX is essentially useless for BTC as BTC-based options do not exist. It allows us to predict the market low for $SPY, which will have an indirect impact on BTC in the short term, likely leading to the yearly low. However, it is equally important to see how VIX is changing over time, if it is decreasing or increasing, as that indicates increasing or decreasing fear. Low volatility allows high leverage without risk or rest. Occasionally, markets do rise with high VIX.
As VIX is unusually high, in the forties, we can be confident that a downtrend for the S&P 500 is imminent.
  • RSI (Relative Strength Index): The most important technical indicator, useful for determining highs and lows when time symmetry is not availing itself. Sometimes analysis of RSI can conflict in different time frames, easiest way to use it is when it is at extremes – either under 30 or over 70. Extremes can be used for filtering highs or lows based on time-and-price window calculations. Highly instructive as to major corrective clues and indicative of continued directional movement. Must determine if longer-term RSI values find support at same values as before. It is currently at 73.56.
  • Secondly, RSI may be used as a high or low filter, to observe the level that short-term RSI reaches in counter-trend corrections. Repetitions based on market movements based on RSI determine how long a trade should be held onto. Once a short term RSI reaches an extreme and stay there, the other RSI’s should gradually reach the same extremes. Once all RSI’s are at extreme highs, a trend confirmation should occur and RSI’s should drop to their midpoint.

Trend Definition Analysis of Bitcoin

Trend definition is highly powerful, cannot be understated. Knowledge of trend logic is enough to be a profitable trader, yet defining a trend is an arduous process. Multiple trends coexist across multiple time frames and across multiple market sectors. Like time structure, it makes the underlying price of the instrument irrelevant. Trend definitions cannot determine the validity of newly formed discretes. Trend becomes apparent when trades based in counter-trend inflection points continue to fail.
Downtrends are defined as an instrument making lower lows and lower highs that are recurrent, additive, qualified swing setups. Downtrends for all instruments are similar, except forex. They are fast and complete much quicker than uptrends. An average downtrend is 18 months, something which we will return to. An uptrend inception occurs when an instrument reaches a point where it fails to make a new low, then that low will be tested. After that, the instrument will either have a deep range retracement or it may take out the low slightly, resulting in a double-bottom. A swing must eventually form.
A simple way to roughly determine trend is to attempt to draw a line from three tops going upwards (uptrend) or a line from three bottoms going downwards (downtrend). It is not possible to correctly draw a downtrend line on the BTC chart, but it is possible to correctly draw an uptrend – indicating that the overall trend is downwards. The only mitigating factor is the impending stock market crash.

Time Symmetry Analysis of Bitcoin

Time is the movement from the past through the present into the future. It is a measurement in quantified intervals. In many ways, our perception of it is a human construct. It is more powerful than price as time may be utilized for a trade regardless of the market inflection point’s price. Were it possible to perfectly understand time, price would be totally irrelevant due to the predictive certainty time affords. Time structure is easier to learn than price, but much more difficult to apply with any accuracy. It is the hardest aspect of trading to learn, but also the most rewarding.
Humans do not have the ability to recognize every time window, however the ability to define market inflection points in terms of time is the single most powerful trading edge. Regardless, price should not be abandoned for time alone. Time structure analysis It is inherently flawed, as such the markets have a fail-safe, which is Price Structure. Even though Time is much more powerful, Price Structure should never be completely ignored. Time is the qualifier for Price and vice versa. Time can fail by tricking traders into counter-trend trading.
Time is a predestined trade quantifier, a filter to slow trades down, as it allows a trader to specifically focus on specific time windows and rest at others. It allows for quantitative measurements to reach deterministic values and is the primary qualifier for trends. Time structure should be utilized before price structure, and it is the primary trade criterion which requires support from price. We can see price structure on a chart, as areas of mathematical support or resistance, but we cannot see time structure.
Time may be used to tell us an exact point in the future where the market will inflect, after Price Theory has been fulfilled. In the present, price objectives based on price theory added to possible future times for market inflection points give us the exact time of market inflection points and price.
Time Structure is repetitions of time or inherent cycles of time, occurring in a methodical way to provide time windows which may be utilized for inflection points. They are not easily recognized and not easily defined by a price chart as measuring and observing time is very exact. Time structure is not a science, yet it does require precise measurements. Nothing is certain or definite. The critical question must be if a particular approach to time structure is currently lucrative or not.
We will measure it in intervals of 180 bars. Our goal is to determine time windows, when the market will react and when we should pay the most attention. By using time repetitions, the fact that market inflection points occurred at some point in the past and should, therefore, reoccur at some point in the future, we should obtain confidence as to when SPY will reach a market inflection point. Time repetitions are essentially the market’s memory. However, simply measuring the time between two points then trying to extrapolate into the future does not work. Measuring time is not the same as defining time repetitions. We will evaluate past sessions for market inflection points, whether discretes, qualified swings, or intra-range. Then records the times that the market has made highs or lows in a comparable time period to the future one seeks to trade in.
What follows is a time Histogram – A grouping of times which appear close together, then segregated based on that closeness. Time is aligned into combined histogram of repetitions and cycles, however cycles are irrelevant on a daily basis. If trading on an hourly basis, do not use hours.
  • Yearly Lows (last seven years): 1/1/13, 4/10/14, 1/15/15, 1/17/16, 1/1/17, 12/15/18, 2/6/19
  • Monthly Mode: 1, 1, 1, 1, 2, 4, 12
  • Daily Mode: 1, 1, 6, 10, 15, 15, 17
  • Monthly Lows (for the last year): 3/12/20 (10:00pm), 2/28/20 (7:09am), 1/2/20 (8:09pm), 12/18/19 (8:00am), 11/25/19 (1:00am), 10/24/19 (2:59am), 9/30/19 (2:59am), 8/29,19 (4:00am), 7/17/19 (7:59am), 6/4/19 (5:59pm), 5/1/19 (12:00am), 4/1/19 (12:00am)
  • Daily Lows Mode for those Months: 1, 1, 2, 4, 12, 17, 18, 24, 25, 28, 29, 30
  • Hourly Lows Mode for those Months (Military time): 0100, 0200, 0200, 0400, 0700, 0700, 0800, 1200, 1200, 1700, 2000, 2200
  • Minute Lows Mode for those Months: 00, 00, 00, 00, 00, 00, 09, 09, 59, 59, 59, 59
  • Day of the Week Lows (last twenty-six weeks):
Weighted Times are repetitions which appears multiple times within the same list, observed and accentuated once divided into relevant sections of the histogram. They are important in the presently defined trading time period and are similar to a mathematical mode with respect to a series. Phased times are essentially periodical patterns in histograms, though they do not guarantee inflection points
Evaluating the yearly lows, we see that BTC tends to have its lows primarily at the beginning of every year, with a possibility of it being at the end of the year. Following the same methodology, we get the middle of the month as the likeliest day. However, evaluating the monthly lows for the past year, the beginning and end of the month are more likely for lows.
Therefore, we have two primary dates from our histogram.
1/1/21, 1/15/21, and 1/29/21
2:00am, 8:00am, 12:00pm, or 10:00pm
In fact, the high for this year was February the 14th, only thirty days off from our histogram calculations.
The 8.6-Year Armstrong-Princeton Global Economic Confidence model states that 2.15 year intervals occur between corrections, relevant highs and lows. 2.15 years from the all-time peak discrete is February 9, 2020 – a reasonably accurate depiction of the low for this year (which was on 3/12/20). (Taking only the Armstrong model into account, the next high should be Saturday, April 23, 2022). Therefore, the Armstrong model indicates that we have actually bottomed out for the year!
Bear markets cannot exist in perpetuity whereas bull markets can. Bear markets will eventually have price objectives of zero, whereas bull markets can increase to infinity. It can occur for individual market instruments, but not markets as a whole. Since bull markets are defined by low volatility, they also last longer. Once a bull market is indicated, the trader can remain in a long position until a new high is reached, then switch to shorts. The average bear market is eighteen months long, giving us a date of August 19th, 2021 for the end of this bear market – roughly speaking. They cannot be shorter than fifteen months for a central-bank controlled market, which does not apply to Bitcoin. (Otherwise, it would continue until Sunday, September 12, 2021.) However, we should expect Bitcoin to experience its’ exponential growth after the stock market re-enters a bull market.
Terry Laundy’s T-Theory implemented by measuring the time of an indicator from peak to trough, then using that to define a future time window. It is similar to an head-and-shoulders pattern in that it is the process of forming the right side from a synthetic technical indicator. If the indicator is making continued lows, then time is recalculated for defining the right side of the T. The date of the market inflection point may be a price or indicator inflection date, so it is not always exactly useful. It is better to make us aware of possible market inflection points, clustered with other data. It gives us an RSI low of May, 9th 2020.
The Bradley Cycle is coupled with volatility allows start dates for campaigns or put options as insurance in portfolios for stocks. However, it is also useful for predicting market moves instead of terminal dates for discretes. Using dates which correspond to discretes, we can see how those dates correspond with changes in VIX.
Therefore, our timeline looks like:
  • 2/14/20 – yearly high ($10372 USD)
  • 3/12/20 – yearly low thus far ($3858 USD)
  • 5/9/20 – T-Theory true yearly low (BTC between 4863 and 3569)
  • 5/26/20 – hashrate difficulty halvening
  • 11/14/20 – stock market low
  • 1/15/21 – yearly low for BTC, around $8528
  • 8/19/21 – end of stock bear market
  • 11/26/21 – eighteen months from halvening, average peak from halvenings (BTC begins rising from $3000 area to above $23,312)
  • 4/23/22 – all-time high
Taken from my blog: http://aliamin.info/2020/
submitted by aibnsamin1 to Bitcoin [link] [comments]

An Honest Review of T3 Newsbeat Live

T3 Newsbeat Live is run by Mark Melnick, a 20-year veteran trader from New York. According to him, he made his first million at the age of 19 during the dot-com boom back in the late 90s.
He claims that his trading room is the fastest growing trading room at T3 and also the Wall Street’s #1 trading room. You can see this in the description of his videos on Youtube.
He is a big proponent of reaching the highest win rate possible in trading. He openly shares some of his trading strategies in free videos and claims that some of his strategies are batting over 70% or even 80 %.
He also often says that some of the members enjoy a win rate over 90% using his strategies.
I will let you be the judge of this.
Self-Promotion
He makes a lot of videos to attract new people into his trading room. His daily videos are uploaded on Facebook and Youtube almost daily even on Weekends (mostly excluding Friday evening & Saturdays).
In so many videos you’d hear him talking about how his trading room has an edge over other trading rooms while bashing other trading rooms as a whole.
He often talks about how his trading room bought stocks/options at the near bottom or shorted at the near top using his “algorithmic analysis” which can be applied to all markets (stocks, future, forex, crypto).
Piques your curiosity, right?
In fact, that’s how I got to give his trading room a try.
“Who in the hell wouldn’t want to catch the top & bottom in the markets, right?”
So, you would think people in his room and himself are making a killing using his algorithmic analysis?
Not so fast… (in fact, his algorithmic analysis is just drawing trendlines and identifying the most probable support and resistance)
When it works (of course, nothing works 100% of the time), you are able to catch just few cents off the top and bottom when it works if you follow his trade.
However, you have no idea how long you’d have to hold your position. Mark doesn’t know either.
So, he usually goes for nickels and dimes and rarely holds a position longer than 5 minutes.
Even if he’s good at picking bottoms and tops, you’d often risk more than nickels and dimes just to make nickels and dimes. Make sense, right?
…….
…….
…….
Also, because he gets out of his positions fast, he misses out on riding some potentially big trades.
Oh, how I wish stay in that position a bit longer. He doesn’t say but one can surmise that he often leave too much on the table.
Of course, it’s important to take your profit fast when you scalp but you consistently leave too much on the table like he does, one has to wonder if he has any system for taking profits (otherwise, it’s all discretionary guessing).
This type of bottom/top picking is not his main strategy, though.
The strategy that makes him the most amount of money might surprise you. I will get to this later.
How Mark Trades (Mark’s Trading Setups and Strategies)
Mainly, he scans the market in the morning for earnings reports, analysts’ upgrades/downgrades and other catalysts that have potential to make moves in the market.
He openly shares his mockery or insult of analysts, calling certain analysts “idiots” or “imbeciles”.
He puts on his first trade(s) early in the morning (from 9:30AM to 10:00AM Eastern Standard Time) when the market move is the most volatile.
Some of his strategies use market order during this period of volatile time using options. You can see why this can be very risky and especially on thinly traded options with side spread.
He does point out this but sometimes you hear people in the room stuck in an options position that they can’t get out.
Just like his trades from calling the top/bottom of a stock, he gets in and gets out of a position within minutes if not seconds while going for nickels and dimes while staring at 1minute and 5-minutes charts.
That applies to most, if not all of his strategies. (Yes, sometimes he does catch bigger moves than nickels and dimes.)
When you trade during the most volatile time in the morning, you’re subjected to wild moves in both directions. If you’re overly prudent or inexperienced in trading, your stop (unless very wide), has a very high chance of hitting. A lot of times it might stop you out and go in the direction that you predicted.
So, when you’ve been trading during this time, you’d probably don’t set a stoploss order or a hard stop to avoid getting fleeced.
You do have to be proactive at cutting your loss as quickly as possible. Otherwise you’d find yourself scrambling to get out your position while the bid keeps dropping.
I have to say that Mark is very cautious and he does get out of trades very fast if he has doubt.
A lot of times he lets out exhausting, heavy sighs and even murmurs some swear words when things don’t seem to go the way he wants in a trade. Besides calling certain analysts, “imbeciles” and “idiots”, this is quite unprofessional but no one in the room has the gut to point things out like this.
The irony is that he is the “head of trading psychology” at T3 and it doesn’t seem like that he doesn’t have much control over his trading psychology and let alone his emotion.
People in trading chatrooms, like a herd of sheep, as a whole exhibit herd mentality. Even in an online chatroom, you don’t often see someone ruffling feathers and say what they really want to say.
This is probably because of the certain amount of people believing whatever he says without questioning the validity and quality of his comments.
He has several strategies and according to him all of them have win rate over %70.
However, he also comes up with new strategies as often as every month. He either comes up with new strategy or tweaks his existing strategies.
According to him, the reason is that the market is always evolving and you need to constantly adapt yourself to the ever-changing market environment.
What do you think? Does this sound like someone with an edge?
And for someone who scalps for nickels and dimes, he claims to have the highest Sharpe Ratio that he has ever seen in the industry. I’m NOT making this up. He often utters remarks like “My Sharpe Ratio is one of the highest I’ve seen in my twenty-year trading career.”, “I want to create a of traders with a very high Sharpe Ratio.
How can you achieve a high Sharpe Ratio when you scalp all the time?
And let’s not even talk about commissions generated from frequent scalping.
Who cares about commissions when you can be a scalper with high Sharpe Ratio?
Now, I want to talk about something controversial about his most profitable strategy.
Chatters
According to him, he makes the most amount of money using what he calls “Chatters”. He admits he bets on this kind of trades heavily.
His chatter trades are based on the “newsflow” of big funds making a move in certain stocks and piggybacking on the same trade before others catch on.
No one knows how he exactly gets his “newsflow” and he doesn’t give a straight answer when asked.
Maybe he pays a lot for this kind of information or maybe it’s given to him for free. Who knows?
But it makes sense. The name of the room is Newsbeat Live. Without this the name wouldn’t be the same.
This is probably the only real edge that he has and it’s understandable that he doesn’t want to reveal how he get this kind of newsflow and from where.
By joining his trading room he’ll make a callout on these trades for you to take advantage of.
In order to do this kind of trade, you have to be very quick on your trigger finger.
Almost always the initial move is done within a couple of minutes, if not seconds. If you get in late, you find yourself a sucker buying at or near the top.
Also, because you want to get in as soon as you hear his “chatter” announcements, he advised people to get in within 5 seconds of each chatter announcement and use market order to get in. He said that if he had a small account, he’d bet 100% on this kind of “high-octane” chatter trades and get in and get out fast for “easy” money.
This was how chatter trades were done
…Until one they when many people got burned badly.
Back in September or October of 2019, a lot of people in the room lost a lot money because they market ordered call options contracts on a chatter trade.
The spread on that trade was something like BID: 0.5 ASK: 5.00 few seconds after he announced it.
I didn’t take that trade. No way, I’m going to buy something that has a spread like that.
If you’ve been trading options you know that this kind of spread can happen. Many people that day in the room marketed-in on the trade, taking the offer at ASK.
They found themselves buying at $5.0 per contract when someone probably bought the same contract at $0.40 or $0.50 just few seconds ago.
Someone walked away with decent profits on that trade.
This was the biggest trading chatroom fiasco I’ve ever seen.
People in the room grieving and throwing numbers of how much they had just lost. 10K, 20K, 30K and even $60K.
Could it be also that someone who lost more and didn’t want to talk about it because it’d hurt too much? And how embarrassing to talk about such a loss. I give credit to people who spoke up about it.
People were obviously distressed and what did Mr. Mark Melnick do at this moment?
Initially, he didn’t say much. But what he said he was going to walk away from the trading desk to clear his mind.
It took a while for him to come back and he mentioned that it hurt him a lot that people lost a lot of money and encouraged people not to hesitate to contact him.
I don’t think he ever said anything about that he made a mistake insinuating to load up on chatter trades. No apology since everyone who took the trade did it at their own risk. He advised people to reach out to their broker and do whatever it takes to get their trades annulled because the market makers in that trades were despicable crooks and evil.
But let’s get one thing clear. Perhaps the cold hard truth.
Since Mark is the one who announces chatter trades. he basically frontruns everyone who gets in on these trades after him. There were times when he doesn’t take his own chatter trades and lets the room have it.
But when he does, it’s a guarantee win for him.
He has some sycophantic followers in his trading room and these people are always hungry for chatter plays. I can imagine drooling over the idea of next chatter trades.
It’s human to naturally seek the least path of resistance and this type of trade requires no skill but having fast trigger finger and a platform that allows fast execution.
By taking his chatter trades, you are most likely to make money as long as you act fast to get in and get out.
The thing is, you don’t know when it’s exactly the next chatter trade is going to happen.
If you take a bathroom break, you just miss it. If you take a phone call or answer a door bell, you just missed it.
So, it requires you to be glued to your monitor(s) if you want to make the most of your subscription.
So, we went over Mark’s most profitable strategy. But wait we haven’t yet to talk about his overnight swing trades.
Mark’s Swing Trades
His overnight swing trades jokes. Yes, jokes.
A lot of his overnight trades are done just before earnings announcements when implied volatility is at the highest.
You’ve ever bought a call option just before earnings, predicted the right direction but only to find out that you still lost money next morning? This is because of the implied volatility crush post earnings. A lot of people new to options don’t know this and get taken advantage by veterans this way.
I don’t know if Mark knows or not but I witnessed him buying options this way. I think he understand the concept of implied volatility but why he gets on such trades is a mystery.
I haven’t exactly checked the result of all of his swing trades but I wouldn’t be surprised if people lost more money following his swing trades than anything in the room.
Final Word
Mark offers “free-consultation” on the phone for people who struggle in their trading.
He said that he takes a lot of phone calls but often you’d get the feeling that he is distracted, unable to give an undivided attention for his consultation.
“How would you like to get on a free consultation with a millionaire scalper who can take your trading to the next level?” Appealing isn’t it?
But would you want to get on the phone with someone who is going to give a consultation, even if he or she is distracted?
Oh, it’s a free consultation. Ok, why not? What do I got to lose?
In his videos, you’d hear him saying that he cares for everyone in his trading room and considers them as part of his family. And he runs the trading room out of his good heart and intention more than making money.
Besides he says that he makes more money from his trading than running the room.
My suggestion is that you have a look and you’d be the judge.
He does hold “open house” for his trading room from time to time.
Also, I believe that if you try his trading room for the first time, you try it for a month for about $50. As for me, he’s just another front runner using his trading room to profit with a bad sense of humor and exaggeration that make you cringe.
submitted by appplejack007 to Daytrading [link] [comments]

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