Quant Tactics Channel Audit — Freqtrade Strategy Evaluation vs Our Research Pipeline

Spec Validation — ✅ PASS (Conditional)

Unlike Trade Tactics, Quant Tactics does publish their strategy code. The BollingerRSI strategy on GitHub has clear entry/exit rules, documented parameters, and uses Freqtrade's standard backtest framework. However, only 1 of 62+ strategies is published on GitHub — the rest are behind a Patreon paywall. We can verify the published strategy but not the 6+ strategies shown in videos.

Verdict: Gate 1 passes for the published strategy. Patreon-only strategies cannot be verified.

Research Validation — ✅ PASS (with concerns)

Freqtrade is a well-known open-source project (51.6K GitHub stars) with a built-in backtest engine that automatically includes exchange fees. The channel cites real backtest results from Freqtrade's output. However, the results are presented without:

• • Walk-forward validation (single backtest period only)
• • Multiple market regime testing (bull/bear/chop)
• • Statistical significance metrics (Sharpe, max DD duration)

Verdict: Gate 2 passes because the framework is credible and open-source, but the presentation lacks rigor.

Permutation Test — ⚠️ NOT SHOWN

The channel does not mention permutation tests or any form of randomized signal analysis. Since the strategy code IS available (at least BollingerRSI.py), a permutation test could be run by extracting the signal array and shuffling labels. But the channel doesn't do this. Without permutation testing, we cannot distinguish between a real edge and noise.

Verdict: Gate 3 is not passed, but could be by an independent auditor since the code is open.

Feature Audit — ⚠️ CONCERNING

The BollingerRSI strategy uses only 2 indicators (Bollinger + RSI) — this is clean. But the video strategies claim to use 3-5 indicators simultaneously (Chaikin + EMA, Supertrend + ATR + ADX, MACD + RSI + Stochastic, etc.). Each additional indicator exponentially increases the overfitting risk. The 6-year trend strategy on Patreon uses "momentum filtering" — we cannot verify the exact feature count without access to the Patreon code.

Verdict: Published strategy is clean (2 indicators). Multi-indicator video strategies raise overfitting concerns.

Training Integrity — ❌ LIKELY FAIL

The backtest results shown in videos are almost certainly in-sample (IS) — they run the strategy on the same period used to develop it. Freqtrade supports walk-forward optimization, but there's no evidence the channel uses it. The 325% and 184% returns are typical of IS-optimized strategies that fail out-of-sample. Based on our TIA-ML audit experience, these returns would likely drop to negative once OOS + fees are properly applied.

Verdict: Gate 5 fails — no walk-forward OOS validation shown.

PnL Audit — ❌ FAIL

The claimed returns (325%, 184%, 191%) are almost certainly:

• • In-sample (optimized on the tested period)
• • Pre-fee or using unrealistically low fee assumptions
• • Cherry-picked (only winning strategies shown)
• • Overfitted (many strategies tested, only winners published)

Verdict: Gate 6 fails — returns are not representative of real-world performance.

Final Acceptance — ⚠️ CONDITIONAL

The channel gets credit for:

• ✅ Open-source framework (Freqtrade)
• ✅ Published strategy code (1 strategy)
• ✅ Educational content (teaches coding skills)
• ✅ Fee-aware backtesting (Freqtrade default)

But fails on:

• ❌ No walk-forward OOS validation
• ❌ No permutation tests
• ❌ Cherry-picked results (only winners shown)
• ❌ Most strategies behind Patreon paywall
• ❌ No failed strategy transparency

Verdict: Gate 7 — conditionally accepted for educational value, but not for performance claims.