backtestbay

I backtested 1,277 strategies across 5 symbols. The single biggest finding: 47% of strategies that looked profitable in 2017-2024 quietly broke in 2026. The ones that held? All had the same thing in common — a CHOP filter. backtestbay.gumroad.com/l/gvklb

Tested RamPatel9912's "Super RSI Strategy" through our standardised backtest format ATR exits, 1% risk, BTC 4H since 2017: PF 1.25 over 942 trades, 12% DD, holds across session filters. Original: tradingview.com/script/Lw0Jh94… Comment if you want the code I used to backtest!

@Fxpipstress_ Which step do most traders actually skip first in your experience?

If you do these for 30 days your trading will change dramatically: -Choose a time frame -Create a trading system that fits your risk&return goals -Position size based on volatility -Keep a positive mindset -No random trades -Keep studying -Stay disciplined -Review every trades. Try it out and say Thank you later😘

Morning ☀️ Backtested @DominicWalshFX's "Breaker Block Reversal Engine" — XAUUSD 1H, 3x ATR stop, 2x TP, 1% risk. 17yrs / 395 trades: 📊 PF 1.44 📉 DD <10% 🎯 Win rate ~41% Solid, consistent system 👏 tradingview.com/script/5msciWF…

Yes, don’t forget to run an out of sample aswell!

Most traders know sessions matter. Almost none mark them on every chart, every session, consistently. Built an indicator that does it automatically. Killzone boxes draw themselves — London, NY, Asia. Stop marking sessions manually. £15 → backtestbay.gumroad.com/l/kvjqc

I had it backwards the whole time. The 'noisier' timeframe had the actual edge. I thought higher timeframes meant cleaner signals. Ran a trend strategy on 60m vs 4H on BTC. 60m printed 3 the profit factor.

@WillyAlgoTrade Congratulations 🥳 big achievement and so much value

🎉 10,000 Followers on TradingView! 🎉 Today, my TradingView profile reached an important milestone — 10,000 followers. I want to sincerely thank everyone who follows my work, uses my indicators, tests new features, and shares valuable feedback. When I started developing trading indicators, my goal was simple: to create tools that help traders analyze the market more effectively and make better decisions. Seeing thousands of traders around the world using my indicators every day is both an honor and a huge motivation to keep improving. Behind every indicator are countless hours of research, coding, testing, optimization, and refinement. That's why these 10,000 followers mean much more than just a number to me — they represent a community of traders who appreciate quality tools and contribute to making them even better. Your support, suggestions, bug reports, and ideas have played a major role in the growth of these projects. Many of the improvements and new features came directly from your feedback. This milestone is not the finish line — it's another step forward. I have many new ideas, indicators, and updates planned for the future. Thank you for your trust and support throughout this journey. 🔗 Check out my TradingView profile and indicators: #published-scripts" target="_blank" rel="nofollow noopener">tradingview.com/u/WillyAlgoTra… Let's continue building better trading tools together. 🚀📈 #TradingView #forex #crypto #bitcoin

Most of you are screenshotting the good year and calling it an edge. I had a strategy at 68% win rate. Looked unbeatable. Then I ran it on a different year, and it dropped to 41%. Same rules. Same settings.

@antpalkin What's your read on which edges decay fastest — mean reversion or momentum?

Trading strategy making you money right now is already dying. You just can't feel it yet. Two finance professors tracked 97 published strategies. One year after they went public, the average edge was down 58%. Every edge has a half-life. Nobody hands you the expiration date. So three red weeks hit, and you panic-quit a strategy that was still alive. Or you marry a dead one and bleed for six months defending it. You can't tell the two apart by feel. That's the entire problem. There's now AI tool that draws the line for you. Horizon backtests 5 years in seconds and runs thousands of simulated paths, so before you go live you already know how deep and how long a normal drawdown runs. Drawdown is weather. Decay is information. One you ride out. One you cut. Then it runs the strategy automated -> the exit gets decided by the math you set when you were calm, not the mood you're in at the bottom. The same loop a quant desk pays $25,000 a year for. Yours for $0 while the beta open. Save this -> re-read it the next time you're three red weeks deep and about to fold a strategy that's still alive. Full framework in the article above. Free access while the beta's open: join.horizon.trade/explore

@SignalForge_AI what did they do?

Case study: how one trader saved their FTMO eval with a 30-second TradingView fix (thread)

@notprofgreen @cdikici71 😂 tradingview moderators 🤝 houserules = violation

@cdikici71 They got you too?

Dear friends, the word "free" in the indicator name was considered objectionable. :)) cd_new_QT_Cx => now live and ready to use.

@TradedecisionFX @tradertheory Agree.... and then sometimes it's edge decay, sometimes it's execution slippage. Self-knowledge matters, but the real problem is usually the strategy was never robust to begin with.

@tradertheory Most people just don’t have a good edge bro. And obviously the psychology part is massive

90% of your trading problems come down to two things. You don't know yourself. You're scared to pull the trigger.

An 'order flow'? Just two EMAs and a momentum filter. Found 'A Sniper Order Flow' a community script but original page now gone. Tested on BTC 4H with our format: 3 ATR stop, 2R target. 465 trades, PF 1.37, 12.7% drawdown. TradingView pinescript👇 raw.githubusercontent.com/antrich9/backt…

Win rate is backtest theatre. Looks incredible in the screenshot. Gets retweeted. Sells courses. Tells you nothing about whether it's still printing 12 months from now. The number that survives is never the one that looks best.

What are you testing for right now — entry quality, or regime survival?

Felt like I found a Supertrend strategy on BTC 4H. Profit factor 1.6 in backtest. Ran it through walk-forward. 1.04 The edge was curve-fitted The lesson nobody tells you: a good backtest on an indicator doesn't mean you found something. It usually means you fit the noise.

@DaanCrypto How do you size when conviction is high but the stop needs room?

The best setup in the world means nothing if your position size is wrong. This will only end up with you getting hunted on your stop or wicked out before the actual move occurs. You can technically be "right" but didn't give enough room for error which will still make your executing wrong and end up in losses. More often than not, sizing lower and well managed, offers better returns in the long run.

Skipping a setup because it feels risky after a big win. The backtest doesn't account for that. But your live account does. None of these behaviours show up in the numbers. They all show up in the gap between your backtest and your live results.

@iamdakejr 1:1 R:R works, but only if your win rate justifies it. At 50% win rate, you're breakeven after costs. At 45%? You're losing. The math doesn't care about anyone's results.

Listen, don’t trade 1:1 simply because you see me do it. Unless you’ve backtested with your strategy to be self convinced. Stick with what’s working for you. Good morning.

@tradertheory 🤣 61% of trendline breakouts in our database failed within 5 bars. But we did find this indicator on TradingView, which kind of worked! x.com/backtestbay/st…

POV: You shook hands with a trendline trader