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Add sample CSV and README with link to theglitchlist.com store

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+ ---
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+ license: other
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+ tags:
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+ - finance
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+ - trading
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+ - backtesting
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+ - csv
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+ - quantitative-finance
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+ size_categories:
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+ - n<1K
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+ ---
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+
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+ # Backtest CSV Auditor — Sample Input
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+
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+ **Free sample · CSV · Synthetic example data (not real trading results)**
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+
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+ A sample input file for the **Backtest CSV Auditor**, part of [The Glitch List](https://theglitchlist.com/?utm_source=huggingface&utm_medium=dataset&utm_campaign=n15_auditor) — a data engineering lab based in Barcelona building algorithmic trading tools for Hyperliquid HIP-3.
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+
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+ ## What's Included
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+
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+ - sample_backtest_export.csv — 180 synthetic trades in a generic backtest-export format (date, entry_time, direction, pnl_pct)
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+ - This is synthetic example data, generated to demonstrate the CSV format the tool accepts, not a real trading strategy's results
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+
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+ ## Quick Start
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+
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+ ```python
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+ import pandas as pd
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+ df = pd.read_csv("sample_backtest_export.csv")
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+ print(df.shape)
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+ print(df.head())
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+ ```
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+
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+ ## What the Full Tool Does
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+
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+ The Backtest CSV Auditor runs 8 automated checks on a backtest CSV like this one, to catch logic bugs before they cost you or your buyers a bad decision:
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+
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+ 1. Sample size (roughly 100-300 trades minimum)
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+ 2. Win-rate plausibility (>75% is almost always a bug, not a real edge)
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+ 3. Directional asymmetry (long vs short results that are suspiciously different)
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+ 4. Trade frequency per session (catches uncontrolled re-entries)
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+ 5. Time coverage (one market regime, or several?)
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+ 6. Transaction-cost heuristic (P&L that looks "too clean")
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+ 7. Look-ahead bias heuristic (if the CSV has trade high/low)
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+ 8. Walk-forward vs in-sample check (if the CSV distinguishes both)
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+
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+ Each check returns PASS / WARNING / FAIL / SKIPPED with a plain-English explanation. Native support for TradingView Strategy Tester's "List of Trades" export format.
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+
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+ Requirements: Python 3.8+, pandas, numpy. Runs 100% locally.
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+
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+ **Get the full tool ($19):**
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+ https://theglitchlist.com/product/backtest-csv-auditor/?utm_source=huggingface&utm_medium=dataset&utm_campaign=n15_auditor
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+
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+ ## License
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+
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+ Sample data is synthetic and provided for demonstration only. The tool itself: personal research and trading bot development use.
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+
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+ ## Citation
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+
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+ If you use this sample, please credit The Glitch List and link to theglitchlist.com.