Bytesagain Quant Trader

Build and analyze quantitative trading strategies. Input: asset, timeframe, parameters. Output: strategy logic, backtest signals, risk metrics, position sizing recommendations.

Quant Trader

Build, analyze, and optimize quantitative trading strategies. Covers signal generation, risk metrics, position sizing, and backtesting logic for crypto and equity markets.

Commands

strategy

Generate a quantitative trading strategy for a given asset and timeframe.

bash scripts/script.sh strategy --asset BTC --timeframe 4h --style momentum

Styles: momentum, mean-reversion, breakout, trend-following, pairs

signal

Analyze price action and generate entry/exit signals.

bash scripts/script.sh signal --asset ETH --price 3200 --ma20 3050 --ma50 2900 --rsi 62 --volume "above-avg"

backtest

Estimate strategy performance metrics from parameters.

bash scripts/script.sh backtest --strategy momentum --asset BTC --period "2023-2024" --entry-rsi 30 --exit-rsi 70

risk

Calculate position size and risk metrics.

bash scripts/script.sh risk --capital 10000 --risk-pct 1 --entry 3200 --stop 3050

portfolio

Analyze portfolio allocation and correlation.

bash scripts/script.sh portfolio --assets "BTC,ETH,SOL,BNB" --weights "40,30,20,10"

screener

Screen assets by technical criteria.

bash scripts/script.sh screener --market crypto --filter "rsi<35,above-ma200,volume-spike"

help

Show all commands.

bash scripts/script.sh help

Key Metrics Output

• Sharpe ratio, max drawdown, win rate, profit factor
• Position sizing: Kelly criterion and fixed fractional
• Risk/reward ratio per trade

Disclaimer

For educational and research purposes only. Not financial advice. Always verify with real market data before trading.

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