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Strategy Templates Gallery

Ready-to-use strategy templates for common trading approaches. Each template includes recommended settings and CLI commands.

Quick Start

# Interactive wizard (recommended for beginners)
tradai strategy wizard

# Direct command with options
tradai strategy new MyStrategy --category momentum --timeframe 15m -y

Available Commands

Command Description
tradai strategy wizard Interactive step-by-step creation
tradai strategy new NAME Create from template with options
tradai strategy list List registered strategies
tradai strategy info NAME Get strategy details
just test NAME Test strategy (in tradai-strategies repo)
just run-backtest NAME VERSION Run backtest (requires just up)

Note: For standalone strategies, use cd NAME && uv run pytest instead of just test NAME.

Template Categories

1. Trend Following

Best for: Capturing directional moves in trending markets

Setting Recommended
Timeframe 4h, 1d
Exchanges binance, bybit, okx
Stoploss -10% to -15%
Trailing Stop Yes 
tradai strategy new TrendRider \
  --category trend-following \
  --timeframe 4h \
  --exchange binance \
  --symbols "BTC/USDT:USDT,ETH/USDT:USDT" \
  --stoploss -0.12 \
  --trailing-stop \
  --max-trades 3 \
  -y

Key indicators: EMA 20/50/200, ADX, Supertrend, Ichimoku Cloud

2. Mean Reversion

Best for: Fading extreme moves back to equilibrium

Setting Recommended
Timeframe 1h, 4h
Exchanges binance, kraken
Stoploss -5% to -8%
Trailing Stop Optional 
tradai strategy new MeanRevBot \
  --category mean-reversion \
  --timeframe 1h \
  --exchange binance \
  --symbols "BTC/USDT:USDT,ETH/USDT:USDT,SOL/USDT:USDT" \
  --stoploss -0.06 \
  --max-trades 5 \
  -y

Key indicators: Bollinger Bands, RSI, Stochastic RSI, Z-score

3. Momentum Scalping

Best for: Quick trades on strong price movements

Setting Recommended
Timeframe 5m, 15m
Exchanges binance, bybit
Stoploss -2% to -5%
Trailing Stop Yes 
tradai strategy new MomentumScalper \
  --category momentum \
  --timeframe 15m \
  --exchange bybit \
  --trading-mode futures \
  --symbols "BTC/USDT:USDT,ETH/USDT:USDT" \
  --stoploss -0.03 \
  --trailing-stop \
  --can-short \
  --max-trades 5 \
  --stake-amount 500 \
  -y

Key indicators: RSI momentum, MACD histogram, Volume profile, ROC

4. Breakout Trading

Best for: Trading range expansions and volatility spikes

Setting Recommended
Timeframe 15m, 30m, 1h
Exchanges binance, okx
Stoploss -5% to -8%
Trailing Stop Yes 
tradai strategy new BreakoutHunter \
  --category breakout \
  --timeframe 30m \
  --exchange binance \
  --symbols "BTC/USDT:USDT,ETH/USDT:USDT,SOL/USDT:USDT,AVAX/USDT:USDT" \
  --stoploss -0.06 \
  --trailing-stop \
  --can-short \
  --max-trades 4 \
  -y

Key indicators: Donchian Channels, ATR, Volume confirmation, S/R levels

5. Grid Trading

Best for: Sideways markets with defined ranges

Setting Recommended
Timeframe 15m, 30m, 1h
Exchanges binance, kucoin, gate
Stoploss -15% to -20%
Trailing Stop No 
tradai strategy new GridMaster \
  --category grid-trading \
  --timeframe 30m \
  --exchange binance \
  --symbols "BTC/USDT:USDT" \
  --stoploss -0.15 \
  --max-trades 10 \
  --stake-amount 200 \
  -y

Implementation notes: Define grid levels (e.g., 1% apart), set upper/lower bounds

6. DCA (Dollar Cost Averaging)

Best for: Long-term accumulation strategies

Setting Recommended
Timeframe 4h, 1d
Exchanges Any
Stoploss -20% to -30%
Trailing Stop Optional 
tradai strategy new DCABot \
  --category dca \
  --timeframe 1d \
  --exchange binance \
  --trading-mode spot \
  --symbols "BTC/USDT,ETH/USDT" \
  --stoploss -0.25 \
  --max-trades 2 \
  --stake-amount 100 \
  -y

Implementation notes: Buy at regular intervals, increase on dips

7. ML-Driven Strategy

Best for: Machine learning predictions with FreqAI

Setting Recommended
Timeframe 1h, 4h
Exchanges binance
Stoploss -5% to -10%
ML Support freqai 
tradai strategy new MLPredictor \
  --category ml-driven \
  --timeframe 1h \
  --exchange binance \
  --ml freqai \
  --symbols "BTC/USDT:USDT,ETH/USDT:USDT" \
  --stoploss -0.08 \
  --can-short \
  --max-trades 3 \
  -y

FreqAI notes: Uses advanced structure, supports LightGBM, XGBoost, CatBoost, PyTorch

8. Arbitrage

Best for: Exploiting price differences

Setting Recommended
Timeframe 5m, 15m
Exchanges Multiple
Stoploss -2% to -3%
Trailing Stop No 
tradai strategy new ArbitrageBot \
  --category arbitrage \
  --timeframe 5m \
  --exchange binance \
  --symbols "BTC/USDT:USDT,ETH/USDT:USDT" \
  --stoploss -0.02 \
  --max-trades 5 \
  --stake-amount 2000 \
  -y

Exchange-Specific Templates

Hyperliquid (DEX)

Uses USDC and wallet authentication.

tradai strategy new HyperBot \
  --category momentum \
  --timeframe 15m \
  --exchange hyperliquid \
  --trading-mode futures \
  --stake-currency USDC \
  --symbols "BTC/USDC:USDC,ETH/USDC:USDC" \
  --stoploss -0.05 \
  --can-short \
  -y

Spot Trading (Kraken)

For conservative spot-only trading.

tradai strategy new SpotAccumulator \
  --category dca \
  --timeframe 4h \
  --exchange kraken \
  --trading-mode spot \
  --symbols "BTC/USD,ETH/USD" \
  --stoploss -0.15 \
  --max-trades 2 \
  -y

Custom Categories

Any category name is allowed (accepted silently):

tradai strategy new MyCustomStrategy \
  --category "volatility-breakout" \
  --timeframe 1h \
  -y

Post-Creation Workflow

# 1. Navigate to strategy
cd mystrategy

# 2. Install dependencies
uv sync

# 3. Edit strategy logic
code src/mystrategy/strategy.py

# 4. Run tests
uv run pytest

# 5. Run backtest
just run-backtest mystrategy 1.0.0

Requires strategy service to be running (just up).

Development Commands

Command Description
just fmt Format code
just lint Lint code
just typecheck Type check
just check All checks (lint + typecheck + test)
just test NAME Test specific strategy (in tradai-strategies repo)

Tips

  1. Start simple: Choose a basic template via tradai strategy wizard (interactive) or direct tradai strategy new invocation, then add complexity later
  2. Test thoroughly: Backtest with multiple timeranges
  3. Risk management: Never skip stoploss
  4. Paper trade first: Use dry_run: true before live
  5. Monitor: Track metrics in MLflow

See Also