In Part 1, I built the NC-RSI indicator that cuts out 38% of fake signals. Today, I’m turning it into a complete trading strategy. I backtested it head-to-head against the Standard RSI across 6 different combinations over 2 years of EURUSD 1H data. The result? My custom NC-RSI + ADX strategy returned nearly 79% while the Standard RSI version only made 22%.
But this video isn’t just about the numbers. I’m showing you the exact visual proof where the Standard RSI completely missed winning trades that the NC-RSI caught. Plus, I’m giving away the NC-RSI indicator for FREE at the end of this video.
WHAT WE COVER:
– Why an indicator alone is not a strategy
– Testing 5 indicator candidates (Bollinger Bands, ADX, MACD, ATR, Supertrend)
– The “naive” 5-candle backtest vs the real backtest with SL/TP
– 6-way head-to-head: Standard RSI vs NC-RSI
– Visual proof: Side-by-side chart comparison
– Monthly performance breakdown (24 months)
– The exact strategy rules
GET THE FREE NC-RSI INDICATOR:
1. Subscribe to @AlgoQuantTrading
2. Take a screenshot of your subscription
3. Email it to: quantalphatrading12@gmail.com
4. Receive your unique activation key within 24 hours
SETUP INSTRUCTIONS:
– Download the indicator from the link I send you
THE STRATEGY RULES:
– LONG: NC-RSI below 30 + ADX below 25
– SHORT: NC-RSI above 70 + ADX below 25
– Stop Loss: 1.0 x ATR
– Take Profit: 2.0 x ATR
– Risk per trade: 1%
WATCH THE FULL SERIES:
Part 1: Building the NC-RSI Indicator
Part 2: The Strategy Backtest (This Video)
Part 3: Turning It Into an Automated MT5 Bot (Coming Soon)
DISCLAIMER:
This video is for educational purposes only. I am not a financial advisor. Trading forex, cryptocurrencies, and commodities involves substantial risk of loss. Past performance (including backtests) does not guarantee future results. Always test on a demo account before risking real capital. Never trade with money you cannot afford to lose. The backtest results shown are based on historical data and include transaction costs (spread/commission).
CONNECT:
YouTube: @AlgoQuantTrading
Email: quantalphatrading12@gmail.com
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