HELM Finances

HELM Finances operates a research-grade, rules-based equity strategy targeting post-earnings-announcement drift across a fixed universe of 20 large-cap stocks. The system enters positions after positive earnings surprises and holds them for approximately 60 trading sessions, applying risk-parity sleeves and a 10% volatility-target overlay. Access to this service is invite-only, and the offering is presented alongside historic performance data on their website.

The strategy harvests drift after a company beats earnings, entering the session after a positive surprise across a fixed 20-name large-cap universe. Each name gets 10% of equity, scaled by a volatility dial where exposure equals the minimum of 1 or 8% divided by realised 20-day volatility. The dial acts as a brake, and the book remains long-only while moving with the market.

Exits are triggered either at approximately 60 sessions or when a hard stop of −15% is hit. The system displays gate-by-gate decision logic, drift timelines, sizing chains, model state, and broker order plans before execution to ensure total transparency. Every number shown is a backtest with stated caveats, and the last row represents what is actually sized for.

The backtest period spans from July 2001 to June 2026, covering a fixed 20-name universe picked with hindsight. The model, referred to as Helm v6, operates on PEAD alone with an 8% dial setting. All figures are read from research artifacts on one window, gross of fees, and every benchmark is computed on that identical window with the same formulas and dividends reinvested.

The strategy achieved a CAGR of 10.4% with a Sharpe ratio of 1.19 and a maximum drawdown of −15.6% during the specified period. In comparison, the MEGA20 S&P 500 benchmark recorded a CAGR of 19.5% but a much larger maximum drawdown of −55.2% over the same window. The Nasdaq-100 benchmark saw a CAGR of 312.9% with a maximum drawdown of −54.3%.

The business states it plans for a forward expectation of 4–7% net returns after a critical-quant review. The target Sharpe ratio is between 0.5 and 0.8, with a Sortino ratio of 0.8–1.2. The planned maximum drawdown range is between −25% and −30%, and confirmation requires live data spanning at least 6 years.

The system is designed for investors who prefer a rules-based approach over guessing, allowing them to steer capital with a defined system. It suits those interested in post-earnings drift strategies within a fixed large-cap universe. The service emphasizes full operational transparency, showing every gate and sizing step before execution.

The website explicitly states that all performance figures are backtests on a fixed 20-name universe chosen with hindsight. The live record is currently a small demo account, which is far too short to confirm future results. Therefore, the backtested and past performance figures should not be taken as a guarantee of future outcomes.

The strategy relies on a fixed universe of 20 large-cap names, which is picked with hindsight rather than a forward-looking selection process. The volatility dial is set at 8% and is applied the next day after the initial entry. This method ensures consistency in how the strategy interacts with market volatility.

The system applies a mean-reversion component to size positions, alongside risk-parity sleeves and a 10% volatility-target overlay. Exits are strictly triggered on schedule or at a −15% hard stop, ensuring defined risk parameters. The model state and broker order plans are displayed before any trade is placed.

The backtest data includes comparisons against the S&P 500, Nasdaq-100, 60/40 portfolio, US bonds, Berkshire Hathaway, Russell 2000, and Developed ex-US indices. All these benchmarks are computed on the same window with dividends reinvested to ensure a fair comparison. The maximum drawdowns for these benchmarks range from −18.8% to −61.0%.

The strategy operates on a fixed universe of 20 large-cap stocks, which is a key differentiator from broader market approaches. The use of a volatility dial to scale exposure based on realised 20-day volatility adds a dynamic risk management layer. The system also incorporates a mean-reversion component to adjust position sizes.

The official website of HELM Finances is helmfinances.com.

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