bytesagain-quant-trader

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

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Install skill "bytesagain-quant-trader" with this command: npx skills add loutai0307-prog/bytesagain-quant-trader

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.

Feedback

https://bytesagain.com/feedback/ Powered by BytesAgain | bytesagain.com

Source Transparency

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