The Signal That Performs in Down Markets
Most trading signals and strategies are designed to extract returns from a rising market. When the S&P 500 is up 20% in a year, nearly any long-biased system looks effective. The meaningful test is what happens when the broad market declines — when passive investors are losing money, are your active strategies still generating edge?
YMI community member Josh captured the answer for the YMI indicator in a live data update: "Here's a great reminder from Josh on how well the top performing YMI indicator signals have been in the last three months with the S&P down 2% YTD."
S&P down 2% year-to-date. YMI indicator top signals: generating positive returns. This is the definition of genuine alpha — performance that is uncorrelated with or negatively correlated with broad market returns. It is also the evidence that separates a working active trading methodology from a bull market strategy being mistaken for skill.
What Is the YMI Indicator?
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The YMI indicator is a proprietary technical indicator developed by Cameron Bennion that generates trade signals based on a combination of price action, volume analysis, and statistical pattern recognition. It was built over years of iterative refinement on equity and futures data, with each parameter tested across historical data to confirm genuine edge rather than curve-fitting to specific market periods.
The indicator produces signals at specific price conditions, with each signal classified by a confidence tier based on the strength of the underlying pattern. Top-performing signals — the highest confidence tier — represent conditions where the historical edge has been most consistent across varied market regimes.
Key properties of the YMI indicator design:
- Regime-aware: Signal generation and confidence tiers account for current market volatility regime — signals in HIGH volatility conditions are interpreted differently than signals in LOW volatility conditions
- Statistically backtested: Each signal type has documented win rate, average winner/loser, and expected value across multiple years of historical data
- Not a momentum chaser: The indicator is designed to identify specific structural patterns in price behavior, not to capture momentum from already-trending moves — which is why it retains effectiveness in down and sideways markets where momentum strategies fail
- Available to Pro Trader members: The proprietary indicator is included in the YMI Pro Trader tier as part of the full strategy suite
Why Most Signals Fail in Down Markets (And Why Structural Signals Don't)
The majority of retail technical indicators fail in down markets for a specific reason: they are designed around momentum and trend-following assumptions that only hold when broad market conditions are supportive. MACD crossovers, RSI divergences, and moving average signals all have reduced effectiveness when the market is trending down because the broad selling pressure overrides the technical signal's directional implication.
Structural signals — signals based on price behavior patterns that reflect how market participants systematically react to specific conditions — are more regime-independent. The KPL algorithm is structural: it identifies zones where stop orders and institutional orders cluster, and the pattern of price reaction at these zones does not depend on whether the broad market is trending up or down. The YMI indicator follows the same design philosophy: identifying structural patterns in price behavior rather than momentum conditions that require a bullish backdrop.
When the S&P is down 2% YTD, a structural signal on an individual stock that is exhibiting a specific price pattern has positive expected value independent of the broad market headwind — because the edge comes from the pattern, not from riding broad market beta.
How to Use the YMI Indicator Alongside Futures Trading
The YMI indicator's application extends beyond pure futures trading — it generates signals on individual equities and ETFs that can complement a futures trading approach:
Regime confirmation: YMI indicator signals on SPY and QQQ provide a second-opinion data point that can confirm or contradict the daily KPL level analysis. When both the KPL levels and the YMI indicator agree on direction, it is a higher-confidence setup.
Individual stock opportunities: In the Magnum Opus Capital hedge fund context, the YMI indicator is used to identify specific equity positions that have structural edge regardless of futures market direction — providing portfolio diversification across strategy types.
Timing entries on ETF positions: For traders who hold longer-duration positions in sector ETFs or broad market instruments alongside daily futures trading, the YMI indicator provides specific entry timing signals with defined stop placement.
The Performance Standard That Matters
Cameron's insistence on data-backed claims extends to the YMI indicator's own performance documentation. The relevant metric is not "did it make money when the market went up?" — virtually any strategy does that. The relevant metrics are:
- Absolute return during market drawdowns: Does the strategy generate positive returns when the index is declining?
- Sharpe ratio: What is the return per unit of risk over a full market cycle (bull + bear + sideways)?
- Max drawdown: What is the worst losing period, and is it within the statistical parameters predicted by the backtest?
- Win rate consistency: Does the win rate remain near historical averages across different market conditions, or does it only perform in specific environments?
Josh's real-time report of positive performance during a down-YTD S&P period is one data point in the ongoing live performance record that YMI tracks — and the type of performance evidence that matters for assessing whether a strategy has genuine, durable edge.
Access the YMI proprietary indicator and backtested signal system. YMI Pro Trader includes the proprietary indicator, the full bot library, and 1-on-1 onboarding to integrate the indicator into your existing trading approach.
About the Author
Founder, Young Money Investments · Quant Trader
Cameron has 18+ years of live market experience trading ES, NQ, and futures. He founded Young Money Investments to teach systematic, data-driven trading to everyday traders — the same quantitative methods used at his hedge fund, Magnum Opus Capital. His members have collectively earned $50M+ in prop firm funded accounts.
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Risk Disclosure & Disclaimer
Educational Purposes Only: The content provided in this blog is for educational and informational purposes only. It does not constitute financial, investment, or trading advice. Young Money Investments is not a registered investment advisor, broker-dealer, or financial analyst.
Risk Warning: Trading futures, forex, stocks, and cryptocurrencies involves a substantial risk of loss and is not suitable for every investor. The valuation of futures, stocks, and options may fluctuate, and as a result, clients may lose more than their original investment.
CFTC Rule 4.41 - Hypothetical or Simulated Performance Results: Certain results (including backtests mentioned in these articles) are hypothetical. Hypothetical performance results have many inherent limitations. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown. In fact, there are frequently sharp differences between hypothetical performance results and the actual results subsequently achieved by any particular trading program.
Testimonials: Testimonials appearing on this website may not be representative of other clients or customers and is not a guarantee of future performance or success.