I Turned a Losing Strategy Into 72% Win Rate (Watch Me Do It)
Автор: Automate With Aaron
Загружено: 2026-01-31
Просмотров: 3698
Описание:
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After my last backtest video got criticized for "cherry-picking 20 trades," I'm showing the complete optimization process. Watch me take the Bulletproof Strategy from 10% win rate (default settings) to 72% win rate on silver—live, no cuts.
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In this video, I address criticism from my previous backtest video by showing the ENTIRE optimization process in real-time. I reset the Bulletproof Strategy to default settings (10% win rate, 0.193 profit factor on silver), then fine-tune it step-by-step while a timer runs to prove nothing is cut or fabricated.
RESULTS AFTER OPTIMIZATION (90 days on Silver):
72.22% win rate (was 10% before)
72 total trades (averaging ~1 per day)
$17,370 profit
3.118 profit factor
$2,245 max drawdown
30-DAY RESULTS (same settings):
80% win rate
20 total trades
$10,000 profit
$1,112 max drawdown
5.336 profit factor
Settings I changed from default:
Contract size: 1 (for conservative testing)
Time filter: Enabled (New York session, ending 1 hour before close)
ATR stop multiplier: 2.6 (aggressive but works on silver volatility)
TP1 ratio: 0.8 (seems low but captures quick profits)
TP2 ratio: 1.6 (partial profit taking strategy)
RSI overbought filter: 80 (from default)
RSI oversold filter: 36 (from default)
ADX filter: 36 (from 25)
Why 90 days matters more than 365 days: Markets evolve. Gold is $3,000 higher now than January 2024. Why would I optimize based on completely different market conditions from a year ago? Recent optimization (30-90 days) adapts to current market behavior.
Addressing "cherry-picking 20 trades" criticism: This is 72 trades over 90 calendar days. That's approximately one trade per day. When I switch to 2 contracts (using TP1 and TP2), it becomes 110 total trades at 63.64% win rate for $26,150 profit. This isn't selective—it's comprehensive.
The default settings produce 10% win rate because they're not optimized for any specific ticker. Each market (silver, gold, NQ, ES) requires different ATR multipliers, RSI filters, and ADX thresholds. Silver is aggressive and volatile, requiring tighter profit targets (0.8/1.6) with wider stops (2.6x ATR).
Two-contract results (90 days): 110 trades, 63.64% win rate, $26,150 profit, 2.2 profit factor. Equity drawdown reaches $4,000+ during rough stretches (would challenge some prop firm limits). 30-day results with 2 contracts: 32 trades, 71.88% win rate, $14,655 profit, 2.803 profit factor, $3,265 max drawdown.
Complete settings breakdown available in 43-page PDF guide on QuantCrawler covering every parameter, what it does, and how to optimize it per ticker. The video shows live adjustment process: timer running, no cuts, starting from default 10% results and optimizing to 72% while explaining each setting change.
How to automate after optimization: Right-click chart → Add Alert → Select strategy → Set to "same as chart" → Input webhook message → Paste webhook URL → Create. Strategy then sends automated alerts when entry/exit signals fire based on your optimized parameters.
I'm currently running automated alerts on: ES, XAU (gold), NQ, GC, MGC, MNQ, and Silver. All show 60%+ win rates over last 90 days with optimized settings. MGC generated $2,600 profit yesterday on 4 contracts as example of live performance.
This isn't snake oil or rug pull. I'm showing exact methodology: reset to default (terrible results), adjust parameters one by one (explaining why), achieve 72% win rate, set automation. The Bulletproof Strategy works when properly optimized per ticker—default settings aren't meant to work universally.
QuantCrawler lifetime membership ($349 until Jan 31, then $599 until March 1, then discontinued) includes Bulletproof Indicator/Strategy, 43-page optimization guide, Ghost automation (Feb 1), and all future features. Monthly ($9.99) doesn't include Bulletproof tools.
Disclaimer: Backtested results don't guarantee future performance. Markets change. Optimization shown is historical—live results may vary. Always test in simulation before live trading.
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