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

1. Research
2. Backtest
3. Implement / Incubate (phrased in the source as “imple/incubate”)
4. 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)