Summary of "removing paper mode to backtest strategies with real slippage"
Key themes
- The speaker focuses on systematic backtesting of trading strategies with an emphasis on realistic execution (including slippage and fees) rather than “paper mode.”
- They run backtests across multiple datasets, evaluate results, and delete strategies that don’t perform — treating strategy development as a numbers game.
Assets / instruments / platforms mentioned
- Backtests (quantitative trading strategies)
- Execution costs: slippage and trading fees
- GitHub (repository where backtest tools/strategies are maintained)
- No specific tickers, ETFs, bonds, crypto, commodities, or company names were mentioned
Quantitative details
- Backtests were run across 18 different datasets
- Subtitles reference an “$11 size” used in testing to demonstrate “real slippage, real fees” (phrase from subtitles; exact meaning/intent is uncertain but presented as the test order size)
Methodology / framework
- Research
- Backtest
- Implement / Incubate (phrased in the source as “imple/incubate”)
- Iterate: run backtests across many datasets and delete strategies that don’t look promising
Recommendations & cautions
- Avoid relying on “paper mode” (simulated execution that understates slippage/fees)
- Use realistic order sizing and include slippage and fees when backtesting
- Don’t deploy strategies until confident in their real-world execution
- Delete or discard strategies that do not produce acceptable results
Performance metrics / results
- No specific performance metrics (returns, win rates, drawdowns, or risk measures) were provided in the subtitles
Disclosures
- No formal financial disclaimer (e.g., “not financial advice”) was spoken in the provided subtitles
Presenters / sources
- Unnamed YouTube presenter
- References a GitHub repository (speaker not identified by name)
Category
Finance
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