🚀 From University Lab to 2,300% ROI: The Algorithmic Breakthrough

Developed by a FinTech Student | Seeking Capital Allocation Partners

🎯 Strategy Overview

Welcome to my rigorously tested Bollinger Bands Mean Reversion Momentum Strategy - a cBot that turned $1,000 → $24,129.92 📊 during 22 months of backtesting. As a FinTech student specializing in quantitative finance, I've engineered this algorithm to master short-term EURUSD movements through sophisticated dual-layer logic.

⚡ The Academic Edge Meets Real-World Performance

While studying market microstructure and quantitative analysis, I identified a critical gap in traditional Bollinger Band strategies. My solution? Enhance classic mean reversion with dynamic momentum confirmation - creating a system that avoids false breakouts while capturing high-probability reversal setups.

📊 Verified Performance Metrics (01/2024-10/2025)

✅ +2,300.07% ROI - Turning $1,000 into $24,129.92
✅ $23,129.92 Net Profit with 2,873 executed trades
✅ Profit Factor: 1.16 - Consistent long-term viability
✅ Balanced Performance: Profitable on both LONG ($9,179.93) and SHORT ($13,949.99) positions
✅ Controlled Risk: Largest win > Largest loss ($368.22 vs $357.46)

🔬 The Algorithmic Advantage

My cBot operates on M3 timeframe, utilizing:
• 🎯 Bollinger Band Extremes - Identifying overbought/oversold conditions
• ⚡ Momentum Filtering - Confirming genuine reversal probabilities
• 🛡️ Automated Risk Management - Protecting capital during anomalous moves

🎓 Why Partner With Me?

As a FinTech student, I bring:
• 📚 Academic Rigor - Research-driven strategy development
• 💻 Technical Excellence - Professional-grade coding standards
• 📈 Transparent Reporting - Full backtest data and ongoing performance monitoring
• 🤝 Active Management - Continuous optimization and updates

🌟 Crowdfunding Opportunity

I'm seeking capital partners to scale this proven strategy. Your investment will be allocated to:
• 💰 Increasing Position Sizing for compounded returns
• 🔬 Further Research & Development of enhanced algorithms
• 🌐 Portfolio Diversification across additional instruments

⚠️ Important Disclaimer
Past performance doesn't guarantee future results. Backtest conducted with 0 pips spread; live conditions may vary. Recommended to test in demo first. Suitable for investors understanding high-frequency trading risks.