jalvart/backtest-csv-auditor-sample

Building a bot? Audit your backtest before you trust it. The Backtest CSV Auditor runs 8 automated checks on a trade log: look-ahead bias, sample size, win-rate plausibility, round-number P&L, walk-forward drift and more: https://theglitchlist.com/product/backtest-csv-auditor/?utm_source=hf&utm_medium=sample&utm_campaign=auditor&utm_content=backtest-csv-auditor-sample

Backtest CSV Auditor — Sample Input

Free sample · CSV · Synthetic example data (not real trading results)

A sample input file for the Backtest CSV Auditor, part of The Glitch List — a data engineering lab based in Barcelona building algorithmic trading tools for Hyperliquid HIP-3.

What's Included

• sample_backtest_export.csv — 180 synthetic trades in a generic backtest-export format (date, entry_time, direction, pnl_pct)
• This is synthetic example data, generated to demonstrate the CSV format the tool accepts, not a real trading strategy's results

Quick Start

import pandas as pd
df = pd.read_csv("sample_backtest_export.csv")
print(df.shape)
print(df.head())

What the Full Tool Does

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:

1. Sample size (roughly 100-300 trades minimum)
2. Win-rate plausibility (>75% is almost always a bug, not a real edge)
3. Directional asymmetry (long vs short results that are suspiciously different)
4. Trade frequency per session (catches uncontrolled re-entries)
5. Time coverage (one market regime, or several?)
6. Transaction-cost heuristic (P&L that looks "too clean")
7. Look-ahead bias heuristic (if the CSV has trade high/low)
8. Walk-forward vs in-sample check (if the CSV distinguishes both)

Each check returns PASS / WARNING / FAIL / SKIPPED with a plain-English explanation. Native support for TradingView Strategy Tester's "List of Trades" export format.

Requirements: Python 3.8+, pandas, numpy. Runs 100% locally.

Get the full tool ($19): https://theglitchlist.com/product/backtest-csv-auditor/?utm_source=huggingface&utm_medium=dataset&utm_campaign=n15_auditor

License

Sample data is synthetic and provided for demonstration only. The tool itself: personal research and trading bot development use.

Citation

If you use this sample, please credit The Glitch List and link to theglitchlist.com.

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Also from The Glitch List

This dataset is published by The Glitch List. We also run TGL Macro Alerts: Gold and S&P 500 breakout alerts in Discord, scored 0-6, with public rules and a public log of every alert.

• Breakout Log

Alerts, not financial advice. Past alerts don't predict future results.

Free breakout log (open data, no email): https://theglitchlist.com/breakout-log/?utm_source=hf&utm_medium=sample&utm_campaign=breakout-log