⚙ī¸ Automated Strategy Builder

Design, test, and deploy algorithmic trading strategies

📋 Strategy Templates

SMA Crossover
Simple Moving Average crossover strategy with configurable periods and risk management.
12.5%
Annual Return
1.45
Sharpe Ratio
-8.2%
Max DD
RSI Divergence
RSI divergence detection with momentum confirmation and automated entry/exit signals.
18.7%
Annual Return
1.82
Sharpe Ratio
-12.1%
Max DD
Bollinger Bands
Mean reversion strategy using Bollinger Bands with volatility-adjusted position sizing.
15.3%
Annual Return
1.63
Sharpe Ratio
-9.8%
Max DD
MACD Momentum
MACD-based momentum strategy with trend following and dynamic stop losses.
21.2%
Annual Return
1.95
Sharpe Ratio
-11.5%
Max DD
ML Prediction
Machine learning-based price prediction using neural networks and ensemble methods.
28.4%
Annual Return
2.12
Sharpe Ratio
-14.3%
Max DD
Custom Strategy
Start with a blank template or import your own strategy code.
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Return
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Sharpe
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Max DD
📁 Drop strategy files here
Supports .py, .json, .txt files

đŸ’ģ Strategy Code Editor

Strategy Name:
Symbol:
Timeframe:
📜 Strategy Logs
[2024-01-15 10:30:15] Strategy initialized: SMA Crossover
[2024-01-15 10:30:16] Connected to market data feed
[2024-01-15 10:32:45] Entry signal: BUY BTC/USD at $42,150
[2024-01-15 10:35:22] Position size: 0.1 BTC
[2024-01-15 10:40:18] Warning: High volatility detected
[2024-01-15 11:15:30] Exit signal: SELL BTC/USD at $42,380
[2024-01-15 11:15:31] Trade completed: +$23.00 profit

📊 Strategy Details

Current Status
Paper Trading
Runtime: 2h 45m
Last Signal: 15 min ago
Performance Metrics
Total Return
+12.5%
Win Rate
68%
Profit Factor
1.85
Max Drawdown
-8.2%
Risk Management
Position Size
2%
Stop Loss
-3%
Take Profit
+6%
Max Risk
10%
Strategy Parameters
Fast SMA: 10 periods
Slow SMA: 20 periods
Volume Filter: Enabled
Min Volume: 1000 BTC
Recent Trades
BUY 0.1 BTC @ $42,150
11:15 - Profit: +$23.00
SELL 0.08 BTC @ $41,890
09:45 - Loss: -$18.50
BUY 0.12 BTC @ $41,750
08:20 - Profit: +$45.20