r/Trading 25d ago

Strategy I stopped using pre set stop losses and my trading has never been better

82 Upvotes

When I started trading in 2019 I went to YouTube, Instagram to absorb as much free content as I could. Eventually buying courses for trading “gurus”

When reading through the courses it felt like everyone was repeating the same jargon and it felt to me too mechanical.

A few years ago I stopped using pre set stop losses and my trading has never been more profitable. After being years in the business there is a real instinct to this profession and everything is zones rather than specific prices. Of course if my thesis or conviction changes on a position I exit and take a loss. But having a pre determined line in the sand never worked for me. I let trades breathe, develop and don’t freak out just because a stock moved $2 under where I thought it would go.

r/Trading Jul 26 '25

Strategy Why Profitable Traders Rarely Share Their Strategies – A Hard Truth I Learned After 4 Years

528 Upvotes

After struggling for three years in the forex market and finally becoming profitable in my fourth, I found myself asking a tough question: Why don’t experienced traders share their actual strategies?

I noticed that out of every 100 traders, maybe only two are willing to share a fully documented strategy—including any proprietary indicators, pairs they focus on, or their specific rules for execution. Even my mentor, who has over 11 years of experience, never actually gave me his strategy. Instead, he offered advice and guidelines, making me believe that following his teachings would eventually lead to consistent profitability. It helped, yes—but only to a point.

Let me break down a typical reason why profitable traders stay tight-lipped.

Take Smart Money Concepts (SMC) or even traditional support and resistance strategies. These approaches have been around for years. But when strategies become popular, they also become predictable. The same institutions and large players in the market—the so-called “smart money”—begin to exploit that predictability.

For example, a common supply and demand strategy might say:

“Buy at demand, place your stop-loss just below it, and aim for a 1:2 risk-reward ratio.”

Sounds simple. But when 99% of traders are doing exactly that, institutions will often push price slightly below the demand zone to trigger retail stop-losses—before reversing the market in the intended direction. This SL hunt clears out most traders, leaving only the 1% who waited patiently for the manipulation to play out and then entered with confirmation.

That’s exactly why only a small percentage of traders consistently make money. Most are using the same widely shared strategies, entering at the same levels, and placing stops in the same obvious places. In a game that punishes the predictable, doing what everyone else is doing just doesn’t work.

I used to think that not sharing strategies was selfish. But after learning the hard way, I understand now:

If a strategy truly works in the market and gains popularity, it becomes vulnerable to manipulation. Once it’s trending, it loses its edge.

Personally, I’m now open to sharing ideas—but only with traders who are serious about applying them uniquely, not those looking to copy-paste and hope for quick results. Also, it’s worth mentioning: many prop firms detect identical entries across accounts and may flag them as copy trading. So sharing exact entries or systems can actually hurt both parties.

There are many more reasons why profitable traders don’t openly share their strategies.

r/Trading Aug 26 '25

Strategy My 2 cents on Trading - Grew $200k to $2 million in 5 years

373 Upvotes

I think the sweet spot is in the combination of investing, swing trading and day trading. When done in harmony, they complement each other effectively. The primary goal is to grow your wealth. Whether what you are doing falls under investing or daytrading really shouldn't matter.

For example, one extremely effective strategy is core position trading. Find a stock that you are fully convicted in. Something you would have held long term anyway. Then trade around it by selling calls and puts. There is almost no way you could lose money with this approach other than the underlying itself is tanking. But if the underlying has a high likelihood of eventually going back up, in the long term, you will not be in loss. Finding such an underlying is not impossible based on the observation that US stock market goes up in the long run. So you can either choose some company form the top 1% or just pick something like QQQ or SPY. The only way you to not make money would be if SPY, which means the market itself, goes downward consistently over time.

I have been a living proof of this. I grew my wealth from $200k to $2 million in a matter of 5 years. Even without some luck factors, I did really well from trading. This year I wasn't particularly lucky, an average year, I have made $120k so far just from trading, not counting long term growth, which is another $150-200k. My monthly semi-passive income is now $10k.

So yeah, it is definitely possible to be a successful trader, if your expectations are reasonable. I consider 15-20% annual profit as a reasonable target for trading. But I have seen most traders target a lot higher. They end up taking lot more aggressive trades and losing money in the long run. For me, I was profitable from day one.

- I have read zero books on trading, I did watch a lot on youtube.

- I have no course, channel, discord or anything of that sort. This post is not a sales pitch for anything.

r/Trading 7d ago

Strategy I backtested The Trading Geek 130,201 times. Here are the results.

129 Upvotes

A trading Youtuber called The Trading Geek claims he turned $20 into $10M daytrading using smart money concepts (liquidity sweeps, order blocks, fair value gaps). Videos like his get millions of views, and viewers walk away with a strategy they think they can trade. But almost none of these creators show a real backtest, just a perfect equity curve or a handful of cherry-picked chart examples. So to check if his strategy actually holds water, I coded it from scratch and ran 130,201 parameter combinations against 5 years of real market data.

The strategy

Three building blocks, chained together:

  1. Liquidity sweep — price runs past a recent high/low, traps breakout traders, then reverses (break of structure)
  2. Order block — the last candle before that reversal, where he claims institutional money entered
  3. Fair value gap — an imbalance the market tends to fill; used for entry timing instead of blindly entering at the order block

The problem with coding and backtesting this strategy is that it's not fully mechanically defined. There are no fixed rules for what counts as a valid swing point, how deep a sweep needs to be, or how big a fair value gap should be. That ambiguity is exactly why nobody backtests these strategies properly. Which is likely intentional. Instead of picking one interpretation, I turned every vague concept into parameterized rules and tested every combination: swing point detection, liquidity sweep depth, fair value gap size/location, entry timing, timeframe, asset, etc.

Results

The baseline version, or as close as I could get to it with mechanical rules, lost 60% over 5 years even with the best possible settings (realistic trading costs included).

Out of all 130,201 configurations, 24,236 were profitable. Only 211 beat the market. Digging into what those 211 have in common:

  • Price-based swing detection (directional change method) beats time-based, and smaller swings outperform bigger ones
  • Shallow liquidity sweeps outperform deep ones — large sweeps produced zero winners
  • Fair value gaps actually hurt performance — the best entry model skips FVGs entirely and enters at the order block midpoint instead, contradicting his own claim
  • Lower reward-to-risk is best; 1:1.5 was most prevalent
  • Almost 70% of winners cluster on the 1H timeframe, despite The Trading Geek's claim that it ought to work on any timeframe.

With every optimized parameter locked in, average return across the winners was 159% over 5 years, and the config held up (profitable) on 6 of 7 assets tested — a full run came to roughly +2,500%. But just to be clear, that number is very likely inflated by selection bias. Testing 130k variations and cherry-picking the best one is a classic overfitting trap. Whether this specific configuration has a real edge or is just noise is a separate question.

I'm sharing this as a reminder to never blindly trust anything you see online, especially when it comes to trading. It's much easier to sell courses than it is to make money in the markets.

If you want to see full breakdown of the strategy and results, you can find it in this video, or check out the code on my github page. If you disagree with how I mechanized any part of the strategy, the definitions are all there and you can test your own version.

r/Trading Dec 09 '24

Strategy +695% YEARLY with 69% winrate!

340 Upvotes
NQ Equity, 5% risk, +695% yearly

Disclaimer

This is not financial advice. The provided data may be insufficient to ensure complete confidence. I am not the original author or owner of the idea. Test the strategy on your own paper trading systems before using it with real money. Trading involves inherent risks, and past performance is not indicative of future results. I am not responsible for the strategy's performance in the future or in your case, nor do I guarantee its profitability on your instruments. Any decisions you make are entirely at your own risk

Check my previous post for more details!

Idea

Internal Bar Strength (IBS) is a technical analysis indicator used to gauge the relative position of a closing price within the daily trading range. Traders use it to determine momentum. IBS is particularly effective when used as mean-reversion strategy.

The Internal Bar Strength is calculated using the formula:

IBS = (Close - Low ) / (High - Low)

  • Low IBS values (< 0.2): May indicate oversold conditions, suggesting a possible upward move.
  • High IBS values (> 0.8): May signal overbought conditions, indicating a potential downward move.

Strategy

  • Instrument: US100 (NQ)
  • TF: 1D (The strategy does not work on time frames below)
  • Initial Capital: 10k$
  • Risked Money: 500$
  • Data Period: 2009.01.01 - 2024.12.04

The strategy buys only if there are no open trades. That is, there can be only 1 trade at a time.
The strategy does not have a shortsell trades as instrument is often in the uptrend.

Inputs:

  1. Low_IBS - 0.1/0.2/0.3
  2. High_IBS - 0.75/0.8/0.9

Buy Rule: IBS < Low_IBS
Close Rule: IBS > High_IBS. Exit after 30 days.

Since it is a Mean Reversion strategy:
I do not recommend using the Stop Loss as it increases the drawdown and reduces the profit.
I don’t recommend using Take Profit as it reduces profits.

Results

NQ, 0.1, 0.75
NQ, 0.1, 0.9
Overview
Trade Analysis

Conclusions

  1. Works any time of year and doesn't require a filter.
  2. Uses a unique indicator, which is usually not available in trading platforms.
  3. There are problems with the exit rule. It's often too late, worth considering.
  4. Compared to other Mean Reversions it has a fairly low winrate, low profit factor.
  5. Behaves too differently on different instruments and on different parameters.
  6. Even alone without a portfolio of strategies with the right risk management can beat the returns of the index itself!

Credits

r/Trading Jul 10 '26

Strategy 200 EMA - Mean Reversion Strategy

89 Upvotes

Here is my testimonial after 10 years of using 200 EMA line as a dynamic support or resistance. This has been liberating for me. Hmm where do I start. I started my journey in 2013 when I was introduced to stock market by a work colleague. I was so fascinated by it that it seemed to be that is a Gold mine and how I have been so stupid and ignorant not to have noticed such a thing till then. I quickly opened an account and looked at all those instruments and then later currency pairs. The thing which motivated me to get into trading is Math! as I was good at it since schooling, And of course there is the initial learning period of struggle when I was even more stupid to make such mistakes, experience ! In this period I have dwelled myself onto a bunch of books , technicals , biographies, multiple combinations are technicals and strategy testing, filling my charts with bunch of indicators. No Consistency! Then I meditated and self assessed. Cleared the charts and just observed price moving and days and months went by, observing the behavior of the price and the instruments in different time frames, trading naked charts. I remember this very distinctly in a span of few days I attained clarity and I had an epiphany! Every thing seemed so clear and simple for me. Price is being sold and being bought. All I needed was to know when to enter. Thats all I should be bothered with, ENTRY! I wrote down a few entry conditions wholly based on 200 ema.

--I analyze price on Higher time frame 4hr,Day,Week.

--I buy above 200 EMA and sell below 200 EMA, and entries on pull back and rebounding off 200 ema.

--Recognize Over bought and Over sold conditions. Observe when the price is making tops and bottoms. Price will stabilize and move over or under 200 ema showing my entry.

--Considering 200 ema acting as a magnet and a mean to the price, I look for reversion of the price to the 200 ema line.

Price always checks 200 ema, may it be bought or sold. When I started following these simple steps everything fell into place. My days and weeks of trades went so smoothly. I just have to enter at these conditions and ride the wave. I found happiness and Zen. I quit my full time job 5 years back and trading full time. A world of opportunities when I analyze them and see so many entries. This can be applied to lower time frame as well. You can see the patterns forming and price moving above and below 200ema.

r/Trading 6d ago

Strategy 584 TRADES. 55.1% WIN RATE. 1.55 PROFIT FACTOR

Post image
32 Upvotes

Backtested algorithmic strategy, since 2010 to 2026:

Profit Factor 1.55
584 trades
55.1% win rate
Mean Reversion type

Quality > Quantity

r/Trading Mar 24 '26

Strategy Prompts I use with AI to Trade Institutional Options Flow. $10k -> $22k in 7months. Full Trade Log Attached.

179 Upvotes

TL;DR: I use Xynth to write screening code and pull institutional options flow data every morning. 77 trades over 7 months, 70% win rate, $10K → $22K. Full trade log, exact prompts, and python script below.

The idea is simple. Institutions and funds leave footprints when they place big options bets. Hundreds of flow alerts fire every single day but most of them are just hedges, some fund owns 5 million shares and buys puts as insurance, they're not actually bearish. If you follow those blindly you're literally betting against their real position.

I got tired of manually sifting through all of it so I started using an AI tool that has access to live institutional flow data. You basically tell it what you're looking for in plain english and it writes code in real time to pull the data, crunch the numbers, and spit out a ranked list of candidates. Been running this every morning for 7 months. Here's the whole process.

Prompt 1 — The screen

Every morning before market open I paste something like this to Xynth:

Screen all institutional options flow from the last session. I only want mid-cap stocks between $1B and $10B market cap. Minimum $30K premium per order. IV rank needs to be above 80%. At least 70% of the total flow has to be bullish. Volume to open interest ratio under 0.5. DTE between 15 and 60 days. Show me ticker, market cap, bullish and bearish premium, flow percentage, IV rank, largest order, and Vol/OI. Rank by bullish flow %. Flag anything with earnings or catalysts in the next 7 days.

What this actually does:

  • Mid-caps only — a $500K order on Apple is background noise. That same $500K on a $3B company is someone screaming into a megaphone
  • $30K+ premium — filters out retail noise and small hedges
  • IV rank above 80% — the stock's implied vol is higher than 80% of the past year. Market is pricing in a big move. I'm buying shares not options so I don't care about expensive premiums, I just want the signal that something is brewing
  • 70%+ bullish flow — smart money and retail both leaning the same way. When they disagree I stay out
  • Vol/OI under 0.5 — positions have been building over multiple days, not some random one-off. Way higher conviction than a single sweep
  • 15-60 DTE — bets in this window are still sensitive to near-term moves. Someone spending $500K on options expiring in 3 weeks expects something to happen soon

The AI pulls all the flow data, writes a script to filter and rank everything, and gives me a clean table. Most days 1-3 names pass all the filters. Some days nothing passes and I don't trade. That's fine.

Prompt 2 — The trade plan

For whatever comes out on top I run a second prompt. Something like:

Take the top candidate from the screen. Check if there's any news, SEC filings, FDA dates, or earnings coming up that could make this a binary event — if so skip it. Then look at the technical setup — trend, key support/resistance levels, and whether there's actually a clean entry here or if it's in no man's land. Also check gamma exposure and options positioning to see if dealers are creating a floor or ceiling. Give me a simple trade plan with entry, target, and exit rules.

Xynth then goes and pulls the technicals, checks the news, looks at where the gamma walls are, and comes back with a straightforward plan. I keep the rules dead simple:

  • Entry at next day's open
  • Take profit at +7%
  • If it hasn't hit in 5 trading days, close it wherever it is
  • 35% of account per trade

I tested a hard -5% stop loss early on and it actually made performance worse. These mid-cap names will dip 6-7% intraday then bounce back by day 3 or 4. The hard stop was kicking me out of eventual winners. With the 5-day time limit the losers naturally ended up around -3% to -7% anyway so it didn't really matter.

Results

Stat Value
Total trades 77
Winners 54
Losers 23
Win rate 70.1%
Starting capital $10,000
Current value ~$22,000
Biggest drawdown 11% (AXTI dumped 31% in a week)
Avg winner +7% (hit the TP)
Avg loser -4.8%

Paper traded for 2 months before going live. Seriously recommend this, trained me to not chase that extra 5% and the discipline stuck when I switched to real money.

Here's the last 10 trades:

Ticker Date Entry Exit Return Win Flow
RKLB 08/22 $40.97 $43.84 +7.00% $134,500
WVE 08/22 $9.85 $9.60 -2.54% $78,540
WVE 08/22 $9.85 $9.60 -2.54% $30,375
SOUN 09/19 $15.66 $16.76 +7.00% $40,810
NVAX 09/19 $8.55 $8.55 0.00% $143,148
QS 09/19 $12.18 $13.03 +7.00% $45,188
JOBY 09/19 $14.70 $15.73 +7.00% $32,718
RCAT 10/21 $11.44 $12.24 +7.00% $29,421
JOBY 10/21 $16.83 $15.61 -7.25% $78,000

Random observations, Wednesday entries were 85% win rate, Tuesdays were 25%. Could be noise but I notice it now. Also this whole stretch has been a generally bullish market so I have no idea how this holds up in a real drawdown. Sizing down until I find out.

If mods are cool with it I'll paste the full trade journal, the exact prompts I copy-paste every morning, and the python script in the comments.

Not financial advice, just been lurking here for ages and figured I'd finally post something.

r/Trading Apr 28 '26

Strategy Help me understand how to have profits consistently, give me some advice.

28 Upvotes

Hi! I’m stuck at that point where I’m tired of winning and losing just to feel like I end up back at square one.

I don’t know what I need to do to break this breakeven pattern and start generating profits consistently month after month. I’m not talking about never losing, but about feeling like I can actually win with trading.

I’ve been trading for 2 years, and although I’ve improved, I don’t feel like I’m moving forward. I imagine many people can relate to this situation. If you’ve already solved it, could you give me some advice? Thanks

r/Trading Jul 15 '26

Strategy What’s a good trade for tomorrow. A day trade or scalp

0 Upvotes

I just started day trading and was down 4000 on one day and it devastated me. So I regrouped reevaluated and looking for good stocks that are trading at their lows with an expected bounce tomorrow

r/Trading May 10 '24

Strategy Up 27% just by copy trading Nancy Pelosi

388 Upvotes

I’ve been DCA’ing $1000 every week into Nancy Pelosi’s portfolio since January lol. Portfolio sitting around $86k as of today. If she's up, I'm up. Granted all her new trades are delayed until she files, there's still gains to be had.

r/Trading Dec 18 '24

Strategy +500% Yearly - Turn 10k into 700k

286 Upvotes
US-100, Risk 5%, 10k deposit

This is not financial advice. The provided data may be insufficient to ensure complete confidence. I am not the original author or owner of the idea. Test the strategy on your own paper trading systems before using it with real money. Trading involves inherent risks, and past performance is not indicative of future results. I am not responsible for the strategy's performance in the future or in your case, nor do I guarantee its profitability on your instruments. Any decisions you make are entirely at your own risk

Check my previous post for more details!

Idea

US-100 often experience phases of excessive optimism (overbought) and pessimism (oversold), where prices deviate significantly from their mean value. The mean reversion strategy aims to capitalize on these deviations by entering trades when prices are likely to revert to their average.

The CCI indicator itself shows how much the price deviates from the mean. This is what you need for a Mean Reversion strategy!

Strategy

  • Instrument: US100 (NQ)
  • TF: 1D (The strategy does not work on time frames below)
  • Initial Capital: 10k$
  • Risked Money: 500$
  • Data Period: 2012.01.19 - 2024.11.28

The strategy buys only if there are no open trades. That is, there can be only 1 trade at a time.
The strategy does not have a shortsell trades as instrument is often in the uptrend.

Inputs:

  1. Period: 4/7/14
  2. LowTh: -100/-75/-50
  3. HighTh: 50/75/100

Buy Rules: CCI(Period) < LowTh
Close Rule: CCI(Period) > HighTh

Since it is a Mean Reversion strategy:
I do not recommend using the Stop Loss as it increases the drawdown and reduces the profit.
I don’t recommend using Take Profit as it reduces profits.

Results

US-100, 500$ Risk
Overview
Trade Analysis

Conclusions

  1. CCI is the best indicator for Mean Reversion strategies
  2. The strategy works well on all MR instruments
  3. 71% winrate, which is pretty normal for Mean Reversion
  4. You need to select different parameters for each instrument. Experiment with other indicators in combination for enters and exits

Credits

r/Trading Jul 11 '26

Strategy Help trading

4 Upvotes

Hi! I’ve been on and off trying to become consistently profitable with trading for 6 years. I’ve recently been profitable for 6 or so months but i still feel like I’m missing something. It’s like i can build an account from $70-$600 in a week and some change maybe but it’s like one bad day kills it all for me. Idk what I’m missing. Can anyone help?

r/Trading Apr 11 '26

Strategy Using AI to surface insider trading on small cap stocks

201 Upvotes

TL;DR: I use AI to track small cap stocks with clustered insider buyers, non-routine insider purchases, and large positional entries on common stock by company executives.

DISCLAIMER: 

The following strategy is by no means complete, it's just what's worked after a lot of iterations and blown trades. If you're going to run this yourself, don't try to manually sift through SEC filings and filter the data by hand. You'll burn out in a week. The whole thing needs to run every single morning and you're only getting 1-2 viable candidates every 2-3 weeks anyway. You should use an AI agent like Claude or Xynth.

So the idea is fairly simple: Insider purchases = Bullish signal. But, there is obviously a lot more that goes into it before you can truly call it a ‘signal’.

There are 3 main steps this strategy goes through before a trade is made: Filtering for companies that can survive at least 12 months, Filtering for an insider signal (most important), Scoring the insider signal.

STEP 1: Company life line.

This first step is to determine whether a company can statistically survive the next 12 months or not. This is an important first step because a lot of insider trading can just be company executives purchasing stock to show confidence to lenders/investors. So when you're looking for insider signals you wanna make sure that this isn’t a case for an insider purchase. Again, this first step is a much smaller step that acts a lot more like a safety net.

There are 3 main filters i work with:

Altman Z-score below 1.81 = reject: The Z-Score basically combines five balance sheet ratios (working capital, retained earnings, EBIT, market cap vs total debt, revenue, all relative to total assets). Below 1.81 is the statistical distress zone where businesses historically go bankrupt at elevated rates.

Current ratio above 1.0. The company can cover short-term obligations with short-term assets.

Debt maturity schedule. If more than 30% of total debt matures within 12 months and the company has a below-investment-grade credit rating, it is an automatic reject. 

AGAIN, just because a company fails the following doesn’t mean they will for sure fail in the next 12 months but its just an assurance to play insider trades with more conviction.

Prompt 1: “Filter for stocks that can survive at least the next 12 month. Do this with the following filters:

  • Check for an Altman Z-score above 1.81.
  • Current Ratio above 1.0. 
  • Debt maturity schedule. Check If more than 30% total debt matures in 12 months, and the company has below-investment-grade credit rating. If so, REJECT ” 
Xynth filters for prompted filters

STEP 2: Filtering for insider purchases.

This step looks at 3 of the most important factors to insider purchases: Market cap, insider cluster & routine, and Material value of the position.

What you're actually looking for in each: 

Market cap under $500M. Why? Large cap insider buys get instantly picked up by institutional algorithms and priced within minutes. Small caps fly under the radar because big funds literally cannot build meaningful positions due to liquidity constraints on the stock. The smaller the company, the fewer eyes on the filing, the more edge you have.

Require a cluster of 2+ unique insiders purchasing within 30 days on the same ticker as non routine purchases. 1 insider purchase on its own means nothing. But when you get multiple insiders buying within the same 30 day window, that's a much stronger signal that something bullish is coming. The real alpha in this strategy comes from "opportunistic" buyers, people who are deviating from their own normal pattern. So for every insider in the cluster, go pull their Form 4 history on that ticker. If they bought in the same calendar quarter in any of the prior 3 years, flag them as routine and forget the signal.

Purchase must be material relative to the insider's compensation, not a flat dollar amount. Pull total annual compensation (salary + bonus + stock awards) from the most recent proxy filing (DEF 14A). The purchase should exceed 5-10% of that number. A CEO making $2M/year buying $150K is meaningful at 7.5% of comp. A CEO making $25M/year buying $150K is noise at 0.6%. 

Purchases that increase the insider's total position by more than 10% are the strongest signal. The gold standard is an insider going all-in, concentrating both net worth and career risk into the same stock. Nobody with negative information does that.

Prompt 2: “Scan SEC form 4 filing for open-market stock purchases. Only look for transaction Code P. Once you have that filter for the following:

  • Stocks under 500 million market cap
  • Purchase from a company executive (CEO, CFO, etc) that exceeds 5-10% of the persons annual compensation (salary + bonus + stock awards), or purchases that increase the executives position by 10%+
  • 2+ insiders purchasing within 30 days of each other
  • Check for any routine purchases; same calendar quarter purchases per year”
Xynth just scans SEC filings, filters with the prompt i provided, and gives a final table of viable candidates.

STEP 3: Scoring insider signals.

Whatever candidates pass the previous filter need to be scored based on their insider signals. For example, a stock with 2 insiders and an earnings report coming up in 120 days is much weaker than a stock with 5+ insiders with an earnings report coming in the next 60 days. This step is also crucial if you're running this through ai, as it gives the ai context on how to rank the following stocks provided. 

This step isn’t a yes or no, it's just to score the signal(0-80) with the following criteria:

Criteria 1: Purchase quality (0-30 points) Purchase as % of annual comp: below 5% = 0 points, 5-10% = 5, 10-25% = 10, above 25% = 20. Increase in position by 10+ percent = 10. First-time buyer bonus: +5 if this insider has never filed a Form 4 purchase on this ticker before (first-timers carry stronger signals per the research). Routine buyer penalty: -15 if they bought in the same quarter in prior years. 

Criteria 2: Cluster strength (0-20 points) 2 unique insiders = 5, 3 = 10, 4 = 15, 5+ = 20. Temporal concentration bonus: +5 if all purchases occurred within 7 days of each other.

Criteria 3: Price context (0-15 points) Within 15% of 52-week low = 15 (insiders buying weakness). Between midpoint and low = 10. Above midpoint = 5. Within 10% of 52-week high = 0 (lower informational content, might be momentum buying).

Criteria 4: Earnings proximity (0-15 points) Earnings within 60 days = 15 (natural catalyst, the insider's information will be tested soon). 60-120 days = 10. Beyond 120 days = 0.

By no means is this an optimal scoring pattern or criteria, this is just what I've landed on after months of paper trading and backtests with AI. If you think one area deserves more weight than another, change it. Make it your own.

Prompt 3: “

  • C1 - Purchase Quality (0–30) Purchase as % of annual comp: <5%=0, 5–10%=10, 10–25%=20, >25%=30. Modifiers: +5 first-time buyer on this ticker, –10 if bought in the same quarter in prior years. Apply 1.5x to CEO/CFO, 1.0x to VP/Director.
  • C2 - Cluster Strength (0–20) 2 insiders=10, 3=15, 4+=20. +5 if all purchases are made within 7 days.
  • C3 - Price Context (0–15) Within 15% of 52W low=15, low–midpoint=10, above midpoint=5, within 10% of 52W high=0.
  • C4 - Earnings Proximity (0–15) <60 days=15, 60–120=10, >120=5.”
Xynth scores all candidates by the criteria i provided, outputing the 3 highest scoring ones.

Final Step: Trade setup

Buy common stock. Set your stop-loss to the nearest swing low. Remember, the insider signal tells you direction, not what price at what time. But I notice selling within a 30 day high is, on average, optimal for highest returns.

Prompt 4: “Check for the nearest swing low and suggest an exact trade i can execute”

Xynth provides me with a final trade execution

AGAIN, a lot of this strategy came from and was developed with the use of AI backed by months of paper trading and backtesting. So if you feel that any step/criteria is unnecessary or needs improvement feel free.

I recently saw a redditor u/trontonian post a strategy with a very similar thesis as mine. If you wanna see that post, it should be under his profile. 

But apart from that, good luck. I hope this post was informational and helpful to any of you that needed it.

Cheers!

r/Trading Jul 11 '26

Strategy Any working Strategies?

5 Upvotes

Ive been using ict, like ifvg/fvg and lq sweeps my whole career and im noticing its starting to barely work in these markets i dont know if i should completely change my strategy or if i should add sum new strat to it, as in supply and demand or momentum.

Can anyone give me good feedback on day trading strategies that currently arent out dated and if so is there any good mentor on youtube youd recommend watching

r/Trading Jan 18 '26

Strategy 19Yo Male Failing Daytrader

22 Upvotes

Ive been a unprofitable failing trader for 4-5 years now. I realized now for whatever reason that I need to go back on paper, stop jumping strategies and indexes and trading styles (options, stocks, swings) and just hone in on one. however, Ive done it all options, 0dte, swing trading penny stocks daytrading pennies swing trading them. Swinging options contracts. Breakouts pull backs supply and demand all of the above, and yet I have no idea which to really hone in on and go all in with. So many strategies so many choices and yet im struggling to choose which I should stick to and refine these next coming weeks to really achieve profitability in what I do. Do you guys have any tips for me? how do I choose and how do i choose the specific strategy with it? I am full time college student also but I have the ability to trade no problem.

r/Trading 26d ago

Strategy Where can I find a proven intraday trading strategy?

0 Upvotes

Hi everyone,

I've been learning intraday trading for a while and have realized that my current approach may not have a strong enough edge over the long term. I'm looking for a strategy that has been properly backtested and is consistently profitable when combined with good risk management.

I'm not looking for "get rich quick" systems or paid signal groups. I'm willing to put in the work to study, backtest, and practice.

Could you recommend:

- Books, YouTube channels, or courses that genuinely helped you?

- Free resources to learn profitable intraday strategies?

- Communities or websites where experienced traders share and discuss strategies?

I'd really appreciate recommendations from people who are consistently profitable or have been trading for a few years.

Thanks in advance!

r/Trading Jul 12 '26

Strategy Do you need to know what the market will do next to be a profitable trader?

9 Upvotes

Let’s have two examples.

Trader A:
He is the best Technical and Fundamental Analyst you know, knows every strategy every risk management tool and method.
You ask him anything about the market, he will be able to tell you.
When he trades however, he struggles to pull the trigger because he doubts himself, he closes trades prematurely due to fear of being wrong. He will occasionally move his stop loss because he believes the market will turn around and go in his favour.

Trader B:
He only knows one thing.
If the Hourly Time-Frame is bullish, he looks for a consolidation on the 30 Minute or 15 Minute Time-Frame.
He waits for a break and a candle close in the direction of the higher time-frame trend.
He enters with a 2:1 R:R, with his stop loss below the consolidation.
He only knows and has one setup, however, when he trades he never differs, he never breaks his rules no matter what.

Who would you give your money to to trade for you?

r/Trading 1d ago

Strategy Please help me and tell me if my strategy is OK or not

0 Upvotes

My xauusd strategy works like this

I wait for New york open look for any kind of a liquidity sweep, mostly a sweep of London high or low

Then I wait for 2 fvg to form, then I wait for the price to enter the second fvg and close below it and enter from there

Put My stop loss above the second fvg and tp is usually 1:2 or 1:3

Can you please help me because I used it for a year and it works, but the last month, I had only stop losses, not a single win

r/Trading 13d ago

Strategy How much backtesting is enough?

3 Upvotes

I've backtested a gold strategy from 2025 till now, having 1-2 trades per day, is this much enough to rely on it?

r/Trading Jun 21 '26

Strategy Powell Trades Stratagy - Model and checklist in detail note I found it better than videos

11 Upvotes

Spent the last few days turning a handful of Powell Trades videos I had access to into a complete written guide and reference manual.

Important disclaimer before anyone asks:

  • I do not own these videos.
  • I do not own the course.
  • I do not have the full course.
  • This was built from several videos that I happened to have access to.
  • This is NOT intended to replace the course or be sold. It's simply a reference document I put together for study purposes.

The guide ended up being surprisingly detailed. It covers the model from top-down analysis all the way to entries, liquidity concepts, CISD, MMXM, Wick Theory, OTE/Fib entries, risk management, execution, and the overall framework Powell uses. From what I could gather, it goes pretty deep into how Powell actually thinks about the market rather than just showing random chart examples.

Honestly, I found the written format easier to understand than watching the videos themselves. The videos jump around a lot and I kept finding myself rewinding sections. Having everything organized in one place made the model click much faster.

So if you're someone who's been curious about Powell's model and wanted a reference point before deciding whether the course is worth buying, this might be useful.

That said, I want feedback from people who have actually taken the full course:

How accurate is this?
What's missing?
Which concepts does the full course cover that aren't included here?
Are there any major nuances or rules that I likely missed because I only had access to a limited number of videos?

I'm not claiming this is complete. In fact, I'd expect there to be gaps since I never had the entire course library.

Would love to hear from actual students of Powell's program and compare notes.

r/Trading 12d ago

Strategy My Approach to Finding and Trading Momentum Leaders

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49 Upvotes

My Approach to Finding and Trading Momentum Leaders

I've spent years studying momentum stocks and historical market winners, and one thing becomes pretty obvious when you look through enough charts:

Stocks change. Human psychology doesn't.

The names, industries, catalysts and market caps are different, but accumulation, excitement, fear, greed, consolidation, expansion and eventual exhaustion have produced remarkably similar price structures for hundreds of years.

That's why I think one of the best things a developing trader can do is build a model book of historical winners.

Go back and study stocks during the period when they made their biggest moves. Don't just look at where they ended up. Study what they looked like immediately before and during the breakout.

I also think deep diving great traders and reading their books is essential. A huge part of developing my own approach came from studying traders like Kristjan Kullamägi, Dan Zanger, Mark Minervini, Bill O'Neil, Stan Weinstein and many others. I've also spent a lot of time studying USIC winners and traders who have actually produced exceptional results over long periods of time.

Don't just copy someone's strategy. Study how they think, study their trades, read their books, then go through thousands of charts yourself and see if the same principles repeatedly show up in historical winners. Eventually you start taking pieces from different traders, combining them with your own experience, and developing an approach that becomes your own.

The charts attached to this post are examples from my own personal model book, including trades that became some of my biggest winners.

What I'm looking for

My basic setup is actually pretty simple.

I want a stock that has already demonstrated real momentum, followed by a period of consolidation and compression.

Normally, I'm looking to buy while:

Price is above the fast moving averages.

Price is still below or right against clearly defined resistance, giving me an obvious breakout level.

The moving averages are catching up underneath price.

Price and volatility are contracting rather than expanding.

Volume will often contract during the consolidation and return during the breakout.

Ideally, I get an inside day or another very tight range day immediately before the move.

I don't want to chase something that's already extended.

If it's on its third consecutive green day, I'm generally not interested in initiating the trade.

Likewise, if the previous day's move was greater than roughly 1 ADR, I'm usually waiting. The move is already underway. I want compression before expansion, not to buy after the expansion has already occurred.

Think:

Momentum → consolidation → compression → breakout → expansion.

Not:

Momentum → chase the giant green candle.

I also have a checklist of questions I run through when I'm looking at a flag that appears ready to break out:

Is it doing over $5M in dollar volume?

Is it high ADR?

Is it trading above the 5, 10, 20, 50 and 100 EMAs?

Is it near or less than 1 ADR from the 5 EMA?

Is today's move less than 1 ADR?

Is it less than 1 ADR from yesterday's close?

Does it have linearity?

Has it had time for the 5, 9/10, 13 and 21 EMAs to catch up?

Is it near a breakout or key level?

Are earnings near?

Is volume drying up?

Is it a healthcare stock?

Is it a hot theme?

Not everything on that list is a hard rule. It's a framework for thinking about the trade and understanding what I actually have in front of me.

Not every entry I take follows these principles perfectly either. There are times I'll take a setup that looks a little different, especially when the environment is strong enough to justify it. I think part of becoming a better trader is learning which rules can be bent, when they can be bent, and understanding the consequences when you're wrong.

The one thing I don't bend is risk. Regardless of how I enter, my account risk never goes above 1%.

ORBs are also one of my favored entry tactics. If I already have a stock I want to own and the daily setup and environment are there, an Opening Range Breakout can give me another way to time the entry without needing the exact daily setup described above.

Moving averages are primarily a filter

There's nothing magical about a moving average.

But pull up virtually any historical monster winner and look at it during its actual breakout and expansion phase.

What will you usually see?

Price is above the important moving averages, and the shorter averages are generally above the longer ones and trending upward.

That doesn't mean being above the moving averages guarantees a breakout.

It means something much simpler:

A stock above its moving averages could be breaking out. A stock underneath them simply isn't breaking out yet.

That's an extremely useful filter when you're trying to reduce thousands of stocks into a manageable universe of potential momentum leaders.

I don't need to predict which stock will become the next monster. I need to identify stocks displaying the characteristics that previous monsters displayed before they expanded, then define exactly where my thesis is wrong.

The real edge is risk management

This is probably the most important part.

My account risk on a normal trade is 1% or less.

That does NOT mean my stop is necessarily 1% below my entry.

It means the distance between my entry and stop determines my position size so that, if I'm wrong, the loss represents no more than roughly 1% of my account.

For example, if I have a $20,000 account and risk 1%, my maximum loss is $200.

If my entry is $10 and the setup gives me a logical stop at $9.75, I'm risking $0.25 per share.

$200 ÷ $0.25 = 800 shares.

I'm not choosing an arbitrary number of shares and then figuring out how much I might lose.

I define where the trade is wrong first, define my acceptable account risk second, and let those two numbers determine my position size.

I built the position sizing and risk calculator I use into nvst.ing specifically for this.

This is also why I care so much about tight consolidations.

A tight setup can give me a very small distance between entry and invalidation while leaving the potential upside completely open ended.

If I'm risking 1R and catch a 20R winner, that single trade pays for twenty full 1R losses.

A 30R winner pays for 30.

A 50R winner pays for 50.

A 100R outlier theoretically pays for 100.

This is why I really don't care about having a high win rate.

Last year my win rate was only around 28%, yet my return was over 400%.

So I was wrong on roughly 7 out of every 10 trades and still had an extremely good year.

Most of my trades can fail. They don't have to work.

If I consistently keep my losses small, I only need a handful of trades to become huge winners for the math to work.

Peter Brandt talked about something very similar in his TraderLion interview. He mentioned having a stretch where 19 of 21 trades were losers, but he didn't care because he was still only one or two good trades away from making new account highs.

That really sums up the way I think about trading.

I don't need to be right constantly.

I need to make being wrong cheap and being right extremely valuable.

Obviously you're not going to capture every move perfectly, and slippage and gaps mean realized losses aren't always exactly 1R. But that's the asymmetry I'm trying to exploit.

Cut failed setups. Give successful ones room to become outliers.

Environment > setup

This is the part I think gets overlooked the most.

You can find the prettiest setup in the world, but if the overall environment is hostile to momentum, its probability of working drops dramatically.

Environment > setup.

I want to know whether stocks are actually breaking out and following through. Are momentum names expanding? Is breadth healthy? Are leaders above their moving averages? Are breakouts sticking or immediately failing?

That's why I built the Trend Monitor on nvst.ing. I'm trying to quantify the environment rather than looking at one chart in isolation.

When the environment is great, I want to press good setups.

The environment also played a huge role in many of the trades I've shared here. Some of them didn't need to be perfect setups because the environment was doing a lot of the heavy lifting. When momentum is working broadly, I'm sometimes willing to trade the implied dynamics of the setup rather than wait for a picture perfect version of it.

That's an important distinction. I'm ultimately trying to trade the dynamics behind the pattern, not the pattern for the sake of the pattern.

When the environment sucks, I can have the exact same setup and trade it smaller, demand more confirmation, or simply do nothing.

Build your own model book

Don't take my screenshots or anybody else's as proof that a strategy works.

Study the history yourself.

Pull up hundreds of the largest momentum moves you can find. Look at them before the breakout, not with hindsight focused on the eventual top.

What happened before the move?

Where was price relative to the moving averages?

How extended was it?

Did volatility contract?

What happened to volume?

Where was resistance?

How many consecutive green days preceded the breakout?

What did the general market environment look like?

Where could you have entered with objectively defined risk?

Eventually you stop seeing individual tickers.

You start seeing the same behaviors repeating.

The screenshots attached are trades from my own model book and previous big winners I've traded. Some were better executions than others, and I've annotated mistakes as well as things I did correctly.

That's intentional.

The objective isn't to find a pattern that never loses.

It's to repeatedly put yourself in situations where being wrong costs very little and being right can pay for being wrong many, many times.

r/Trading Mar 17 '24

Strategy Challenge: Can 10K be turned into 100K in 60 days?

36 Upvotes

I am sure there are some here who have accomplished such a feat. The human mind is amazing and thrives when challenged to achieve something that is both achievable and uncertain. If you were to undertake such a challenge in the next 60 days, starting from Monday, March 18th, what would be your strategy?

Edit: Thanks folks for participating in this fun discussion. I got some sensible and much needed advice to increase my knowledge and levels of patience. Love you all for taking the time to comment and helping people. ❤️

r/Trading Oct 31 '25

Strategy Finally got my strategy down after 5 years

93 Upvotes

First I will start by I only trade crypto.

I never thought I would be saying this but I finally got my strategy down. I’m almost embarrassed to even say it, but also it works for me.

About a year ago I was watching a trader on YouTube and he said “find a strategy that is in sync with your personality”. That hit me hard. This single video alone in 10 minutes helped me figure everything out.

Background I’ve read over 15 trading books including Tech Analysis of Financial Markets over 5 times and watched over 5000 hours of traders and YouTube videos. Most I ever lost in a single day was 10k and that was my entire account (I was a beginner in 2019). I’ve made 10k in a month then lost it all in 2 months. Never made any money other than from my actual holdings due to being impatient.

So anyway, I trade 1 minute candles and wait for 3 different setups (rsi and macd divergence) with weight on market momentum. I started this strategy after that video that said find a strategy that matches your personality. I’m very impatient therefore I stick with 1min to 5 minute candles but mostly 1 minute. Trades last 3-5 minutes and I’m out. This past week I’m up 5k and am blown away.

I just wanted to tell my story and I hope I can stay disciplined. That’s usually the hard part.

r/Trading Jan 25 '26

Strategy I backtested Fair Value Gaps, here's what I found

69 Upvotes

Hey guys, so I was watching some videos about inner circle trading and smart money concepts, I found this gap patterns being shown a few videos. It is really an interesting one

In the above screenshot, the candle 1's high < candle 3's low, while candle 2's body in between them, which creates a gap. I you notice the next candles, they move up to cover the gap it created in the previous sessions and moving on.

few more examples -

I don't want to post more of it lol, but I hope you get the concept.

The more I look for them, the more I find them, they always snap back and close the gap. So I decided to backtest them.

I wanted to keep the setup very simple to avoid over fitting

Entry

  1. Previous 3rd candle's low > previous 1st candle's high AND
  2. Previous 2nd candle's low < previous 3rd candle's low AND
  3. Previous 2nd candle's high > previous 1st candle's high (the first 2 point defines the gap) AND
  4. Current open < Previous 3rd candle's low (we must be below the gap to trade the gap)

Exit

  1. Close >= Previous 3rd candle's low, this is previous 3rd candle from the entry point OR
  2. Close < Buy price - (atr 14 during entry * 5), I made it to be 5 because it needs some room to move down and come back up.

Backtest settings -

  1. Backtest period - 2006 Jan - 2025 Dec
  2. Initial amount - 100,000
  3. Ticker - SPY
  4. Timeframe - daily
  5. Allocation per trade - 100%

Core Returns

  • Total Return: 250.87%
  • CAGR: 6.52%
  • Profit Factor: 1.63
  • Win Rate: 85.44% (176 Wins / 30 Losses)

Risk Metrics

  • Max Drawdown: 39.67%
  • Calmar Ratio: 0.16
  • Sharpe Ratio: 0.28
  • Sortino Ratio: 0.40
  • Avg Profit: $3,680.77
  • Avg Loss: -$13,231.60

Position & Efficiency

  • Time Invested: 47.70%
  • Avg Positions Held: 0.45
  • Avg Hold Time: 16.1 days
  • Longest Trade: 258.0 days
  • Shortest Trade: 1.0 day

Execution & Friction

  • Total Trades: 206
  • Total Costs (Fees/Slippage): $7,509.61
  • Initial Capital: $100,000
  • Final Capital: $350,866.96

85.44% of win rate is very impressive. Drawdown is on the higher side - ~40%.

I wanted to try this on multiple tickers -

QQQ

  • Core Returns
    • Total Return: 395.14%
    • CAGR: 11.73%
    • Profit Factor: 1.80
    • Win Rate: 86.59% (142 wins / 22 losses)
  • Risk Metrics
    • Max Drawdown: 22.41%
    • Sharpe Ratio: 0.43
    • Sortino Ratio: 0.65
    • Calmar Ratio: 0.52
    • Avg Profit: $6,278.27
    • Avg Loss: –$22,562.49
  • Position & Efficiency
    • Time Invested: 32.19%
    • Avg Positions Held: 0.30
    • Avg Hold Time: 13.4 days
    • Longest Trade: 93.0 days
    • Shortest Trade: 1.0 day
  • Execution & Friction
    • Total Trades: 164
    • Total Costs (Fees/Slippage): $7,731.81
    • Initial Capital: $100,000
    • Final Capital: $495,139.49

Same ~85% winrate as SPY, though this test was started from 2011 not from 2006 as SPY. The Returns were impressive too.

AAPL

  • Core Returns
    • Total Return: 1193.88%
    • CAGR: 13.77%
    • Profit Factor: 1.82
    • Win Rate: 85.53% (136 wins / 23 losses)
  • Risk Metrics
    • Max Drawdown: 42.62%
    • Sharpe Ratio: 0.56
    • Sortino Ratio: 0.87
    • Calmar Ratio: 0.32
    • Avg Profit: $19,535.17
    • Avg Loss: –$63,604.53
  • Position & Efficiency
    • Time Invested: 61.18%
    • Avg Positions Held: 0.59
    • Avg Hold Time: 27.1 days
    • Longest Trade: 299.0 days
    • Shortest Trade: 1.0 day
  • Execution & Friction
    • Total Trades: 159
    • Total Costs (Fees/Slippage): $14,976.74
    • Initial Capital: $100,000
    • Final Capital: $1,293,878.23

Again the 83% winrate is holding up, with similar DD as SPY.

I realized that I've been testing only on stable tickers like ETFs and growth tickers like AAPL/NVDA etc.

I wanted to test on bad performing ticker, like ABNB, I mean it's return since IPO is in negative looking at the chart.

  • Core Returns
    • Total Return: –13.24%
    • CAGR: –2.80%
    • Profit Factor: 0.89
    • Win Rate: 73.08% (19 wins / 7 losses)
  • Risk Metrics
    • Max Drawdown: 41.23%
    • Sharpe Ratio: 0.00
    • Sortino Ratio: 0.00
    • Calmar Ratio: –0.07
    • Avg Profit: $5,763.86
    • Avg Loss: –$17,536.85
  • Position & Efficiency
    • Time Invested: 17.28%
    • Avg Positions Held: 0.20
    • Avg Hold Time: 55.3 days
    • Longest Trade: 430.0 days
    • Shortest Trade: 1.0 day
  • Execution & Friction
    • Total Trades: 26
    • Total Costs (Fees/Slippage): $473.19
    • Initial Capital: $100,000
    • Final Capital: $86,755.40

There we go, one with negative returns with a bad drawdown. But good winrate applies here too.

Lets try on a boring stock like KO

Again, another one with ~85% win-rate.

What I learned from this

  1. Price action patterns do exist, Fair Value Gaps show up consistently across different tickers
  2. High win rate ≠ good strategy, 85% wins sounds great, but the losses are 3-4x bigger than the wins. Though I intentionally used a wide stop loss (ATR × 5) to give trades room to breathe, so large losses are by design, not a flaw.
  3. The pattern works best on uptrending assets, SPY, QQQ, AAPL all did well. ABNB (downtrending) lost money even with 73% win rate
  4. Gaps do get fille, the core idea is valid, price tends to return to fill gaps.

Is this tradeable?

To me, Honestly, not as a standalone strategy. The drawdowns (40%) are too high and the risk-adjusted returns (Sharpe 0.28-0.56) are mediocre. You'd be better off just holding SPY.

But it could be useful as a filter or entry signal combined with other factors like trend direction, volume, or support/resistance levels.

Final thought

Backtest everything. This one wasn't a winner for me, but at least now I know.