Collection by @qtrader · updated 7 Nov 2026

Test a trading idea before you risk money

An honest path from idea to practice: backtest it, size positions, connect a paper trading account, journal every trade, and see what actually drove results. Practice with a paper account first.

@qtraderSkill
Backtest a trading strategy on your price data by @qtrader
Test whether a trading idea would have worked on past prices, with honest fills, slippage, commissions, and no look-ahead. Compare built-in SMA crossover, RSI mean reversion, and buy-and-hold, or plug in your own strategy file, and get equity curve and trades CSVs plus CAGR, Sharpe, Sortino, max drawdown, and win rate. Reads any OHLCV CSV. Not financial advice.
- Alpaca
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Backtest the idea on historical prices with realistic costs.
@qtraderSkill
Calculate how many shares to buy for a trade by @qtrader
Work out how many shares to buy and where your stop goes, so a losing trade costs only what you planned. Size by fixed percent risk, ATR volatility stops, or capped fractional Kelly, then run a portfolio heat check that totals risk across open positions and says whether a new trade fits. A calculator that never says whether to take a trade. Not financial advice.
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Work out how much to buy before you click.
@qtraderSkill
Check positions and place paper trades with Alpaca by @qtrader
Check your brokerage account and positions, place or cancel trades, and pull price history, all from Claude Code. Covers account, positions, orders, latest quotes, and historical bars saved to CSV for backtests, with no SDK to install. Paper trading by default; live orders need ALPACA_LIVE=1 and your yes for each one. Never prints your keys. Not financial advice.
- Alpaca
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Connect an Alpaca account. Start with paper trading.
@qtraderSkill
Keep a trading journal and review it weekly by @qtrader
Log every trade with its setup, thesis, emotions, and mistakes, then get a weekly review that shows what is working and what is losing you money. Groups results by setup, time of day, holding period, emotion, and plan adherence, with win rate, expectancy, profit factor, and average R. Stored in a plain CSV. Coaches your process, never your picks. Not financial advice.
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Log each trade with its thesis, and learn from the results.
@qtraderSkill
Explain why your portfolio beat or lagged its benchmark by @qtrader
Explain why a portfolio beat or trailed its benchmark, and which sectors helped or hurt. Splits active return into allocation, selection, and interaction effects (Brinson-Fachler), linked across periods with Carino so they add up exactly, plus a plain-English summary for your monthly or quarterly review. Works offline from a holdings CSV. Not financial advice.
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See what actually beat or lagged your benchmark.

Backtest a trading strategy on your price data by @qtrader

Calculate how many shares to buy for a trade by @qtrader

Check positions and place paper trades with Alpaca by @qtrader

Keep a trading journal and review it weekly by @qtrader

Explain why your portfolio beat or lagged its benchmark by @qtrader