Thesis Recap
Channel-pullback is a trend-following, mean-reversion hybrid: it buys large-cap names when price pulls back to the lower boundary of a linear regression channel coinciding with volume support, then exits at the upper channel or a resistance level. The universe is 24 blue-chip U.S. equities spanning tech, financials, healthcare, consumer, and energy — names with deep liquidity and relatively well-behaved trends.
The logic is sound in theory. In confirmed uptrends, pullbacks to structural support offer asymmetric entries; the channel provides a dynamic, data-fitted reference rather than a static moving average.
Recent Activity
The past week has been quiet. Scheduled daily runs on June 19–24 reported zero executions — the strategy found no qualifying setups in its universe. Portfolio value drifted from $10,302 on June 19 down to $10,100 by June 24, reflecting mark-to-market moves on open positions rather than new trades.
The most recent executed trade was a sell of 1 share of DIS at $103.99 on June 18, closing a position opened on June 4 at $99.29 — a clean channel-to-resistance exit netting roughly 4.7% on that leg. Earlier in the month, CAT produced a similar round-trip: bought at $857.78, sold at $912.06 within two days, a 6.3% gain. NVDA (9 shares at $204.82) remains an open position as of the latest run.
Not all June trades worked in the strategy's favour. MSFT was bought at $427.54 and sold at $400.31, a 6.4% loss on that position. The pattern is consistent with the reported 39.4% win rate — the strategy loses more often than it wins and relies on larger winners to compensate.
Backtest Performance
Over 451 days, the strategy returned 7.62% total (4.19% annualised CAGR) on a $10,000 starting equity, finishing at $10,761. The Sharpe ratio of 0.40 is below the conventional 0.5 threshold for a strategy worth deploying with real capital. Maximum drawdown reached 14.83%, which is meaningful relative to the return generated.
Turnover is high at 2,311% annualised, translating to $137 in assumed flat-fee commissions across 137 trades — a minor cost here, but one that would compound against returns in a live, commission-bearing environment.
Validation: Not Yet There
The four-fold walk-forward validation tells the real story, and it is mixed:
| Fold | Period | Return | Sharpe | Max DD |
|---|---|---|---|---|
| 1 | Aug 2024 – Jan 2025 | +6.53% | 1.25 | 6.16% |
| 2 | Jan 2025 – Jul 2025 | −11.42% | −1.70 | 16.09% |
| 3 | Jul 2025 – Dec 2025 | +20.68% | 3.86 | 3.26% |
| 4 | Dec 2025 – May 2026 | +3.63% | 0.74 | 8.44% |
Three of four folds are positive, and fold 3 is genuinely impressive. But fold 2 is a significant outlier on the downside — a −11.4% return with a −1.70 Sharpe over five months suggests the strategy can be badly wrong-footed when the market regime shifts (early 2025 was a volatile, trend-breaking environment).
The out-of-sample (OOS) Sharpe of 0.74 on the most recent fold is encouraging and notably better than the full-sample figure. However, the Probabilistic Sharpe Ratio (PSR) of 0.702 and a Deflated Sharpe Ratio (DSR) of 0.196 — computed across seven parameter trials — tell a sobering story: after accounting for the number of configurations tested, the probability that the true Sharpe beats a reasonable benchmark is below 20%. Validation status: not passed.
Assessment
Strengths: The thesis is grounded, the universe is liquid, and recent fold performance is improving. The DIS and CAT trades in June demonstrate the setup executing as designed.
Risks: The low win rate (39%) demands disciplined position sizing. The fold-2 drawdown proves the strategy can underperform badly in choppy, trendless markets. High turnover amplifies both transaction costs and the risk of curve-fitting. The DSR is the hardest number to argue away — it says the edge, if real, is thin.
Channel-pullback is a live paper-trading strategy worth watching, but it needs more out-of-sample evidence — and ideally regime-aware filters — before it earns a higher confidence rating.