AI Quantitative Bots
Six battle-tested strategies. Run paper simulations, study the logic, and see how each bot performs across different market regimes.
⚠️ Paper trading only — all results are simulated for educational purposes. Not financial advice.
Available Strategies
Momentum Surfer
Trend Following · Multi-asset
Live Sim
Rides price momentum using EMA crossovers (20/50) and RSI confirmation. Enters longs when EMA20 > EMA50 and RSI 45–65, exits on reversal signal or 8% stop-loss.
YTD Return
+34.2%
Sharpe
1.12
Max DD
-12.4%
Win Rate
61%
Mean Reversion
Counter-trend · Equities
Standby
Buys oversold stocks when RSI < 30 and price is >2 standard deviations below the 20-day Bollinger Band. Targets a return to the mean, exits at RSI 55 or +5% gain.
YTD Return
+18.7%
Sharpe
0.94
Max DD
-8.1%
Win Rate
68%
BTC Vol Harvester
Crypto · Volatility
Live Sim
Harvests Bitcoin's high volatility using MACD histogram divergence + volume spike detection. Trades 4H candles, uses a 1.5× ATR trailing stop to lock in profits.
YTD Return
+28.9%
Sharpe
0.78
Max DD
-19.3%
Win Rate
54%
Macro Rotation
Sector Rotation · ETFs
Backtest
Rotates monthly between sector ETFs (XLK, XLE, XLF, XLV) based on relative momentum scores. Overweights the top 2 sectors, underweights the bottom 2. Rebalances at month-end.
YTD Return
+22.1%
Sharpe
0.91
Max DD
-9.7%
Win Rate
—
Grid Trader
Range-bound · Crypto / Forex
Backtest
Places buy/sell orders at fixed price intervals (grid levels) around a central price. Profits from sideways markets as price oscillates through the grid. Works best in low-trend, high-volume conditions.
YTD Return
+14.3%
Sharpe
0.72
Max DD
-6.2%
Win Rate
74%
AI Sentiment Bot
NLP · News-driven
Live Sim
Aggregates financial news and social sentiment via Finnhub and scores each headline with an LLM. Builds a sentiment score per ticker, goes long on strong positive flow, shorts on sustained negative.
YTD Return
+19.5%
Sharpe
0.83
Max DD
-10.8%
Win Rate
57%
Paper Trading Simulator
Select a bot above to simulate
Click "Simulate This Bot →" on any strategy card
Recent Simulated Trades
| Date | Symbol | Action | Price | Size | P&L | Cumulative |
|---|
⚠️ Simulated results are generated for educational demonstration only. Past performance does not guarantee future results.
How the Bots Work
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1. Data Ingestion
Each bot pulls OHLCV price data from Yahoo Finance and Binance, news from Finnhub, and macro signals from FRED. All data is normalised to a unified format before processing.
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2. Signal Generation
Technical indicators (RSI, MACD, EMA, Bollinger Bands) and AI sentiment scores are computed. A rule engine scores each signal. Only high-confidence signals above a threshold trigger orders.
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3. Risk Management
Position sizing uses the Kelly Criterion (capped at 15% per trade). Hard stop-losses are set at entry. Max drawdown limits pause the bot if losses exceed a threshold, preventing catastrophic blowups.