New Strategy: XMA Reversal for E-mini and Micro Nasdaq Futures
Comparing the XMA Reversal Trading System across TradeStation, NinjaTrader, and MultiCharts during an unusually compressed Nasdaq volatility regime.
The XMA Reversal Trading System is now available for TradeStation, NinjaTrader, and MultiCharts for both the E-mini Nasdaq-100 futures contract and the Micro E-mini Nasdaq-100 futures contract.
In this update, we compare the strategy across all three platforms and review its recent equity curve, drawdown behavior, average trade profit, and performance during one of the more unusual Nasdaq volatility environments we have observed.
A Strategy Built for the Current Market Regime
One of the most important characteristics of this strategy is also one of the most important limitations to understand: its historical backtest is relatively short.
XMA Reversal tests well beginning in approximately February 2026. It does not have the type of multi-decade backtest that we typically prefer for a mature trading model. Instead, the strategy appears to be capturing characteristics specific to the current market regime.
That makes the strategy particularly interesting from a research perspective. Markets change, volatility structures change, and the behavior of trend and reversal systems can change with them. A shorter backtest should not be mistaken for long-term statistical validation, but it can identify a market behavior that may be persistent within a current regime.
Performance Characteristics
In the NinjaTrader E-mini Nasdaq test shown in the video, the strategy generated approximately $433 in average trade profit, approximately $148,564 in historical net profit, and a maximum drawdown of approximately $14,214.
The Micro Nasdaq contract represents approximately one-tenth of the E-mini contract exposure, so the dollar-based performance statistics scale accordingly.
Cross-Platform Comparison
A major purpose of this update is to show the same strategy logic operating across three different trading platforms.
| Platform | Markets | Use in Video |
|---|---|---|
| TradeStation | NQ / MNQ | Original strategy implementation and comparison |
| NinjaTrader | NQ / MNQ | E-mini performance review |
| MultiCharts | NQ / MNQ | Micro Nasdaq performance review |
Although there may be small platform-specific differences in fills, data, and reporting, the objective is for the underlying trading logic and signal structure to remain consistent.
Performance During Extreme Nasdaq Compression
The timing of this strategy is especially relevant because Nasdaq volatility became extraordinarily compressed during August 2026.
In separate research, we found price behavior during this period that had effectively not appeared elsewhere in approximately 30 years of Nasdaq data. Following a major market impulse, an unusually large percentage of subsequent trading sessions remained contained within the range of a single prior session.
Yet during that same environment, XMA Reversal continued recovering from drawdown and working back toward historical equity highs.
That does not guarantee that the behavior will continue. It does, however, provide an interesting real-time test of whether the model is responding to the current price structure rather than depending exclusively on high-volatility directional moves.
Why Average Trade Profit Matters
One of the statistics we continue to emphasize when evaluating systematic strategies is average trade profit.
A high historical net profit can be produced by a large number of trades with a very small average edge. That can leave a strategy more vulnerable to commissions, slippage, data differences, and live execution effects.
The XMA Reversal results shown in the video demonstrate an average trade of roughly $433–$445 per E-mini contract, depending on the platform and test. The corresponding Micro Nasdaq figures are approximately one-tenth of those values.
Research Before Prediction
The purpose of systematic trading research is not to predict what the Nasdaq must do next. It is to define repeatable rules, test those rules against market data, understand the historical risk profile, and monitor whether the underlying behavior continues to persist.
XMA Reversal is particularly useful as a case study because it represents a newer model designed around recent price behavior rather than a strategy selected because it produces an attractive 20- or 30-year historical equity curve.
That distinction makes ongoing monitoring especially important.
TradeStation | NinjaTrader | MultiCharts
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