50% OFF

Analysis of the Original PMM Pre-Market Model for ES Futures: Backtesting Claims and Risk Considerations

#ES_futures #trading_model #backtesting #FRVP #Reddit_trading #pre-market_strategy
Mixed
US Stock
November 25, 2025

Unlock More Features

Login to access AI-powered analysis, deep research reports and more advanced features

Analysis of the Original PMM Pre-Market Model for ES Futures: Backtesting Claims and Risk Considerations

About us: Ginlix AI is the AI Investment Copilot powered by real data, bridging advanced AI with professional financial databases to provide verifiable, truth-based answers. Please use the chat box below to ask any financial question.

Related Stocks

ES
--
ES
--
Integrated Analysis

On November 21,2025, an anonymous Reddit user posted about the Original PMM (Pre-Market Magnet) Model for ES futures, claiming consistent high-probability entries using two Fixed Range Volume Profiles (FRVPs) [1][2]. The model uses one FRVP for directional bias and another for entry zones, with backtested results showing 31 days of data,45 trades, and a profit factor of4.54 [6][7]. FRVP is a tool displaying volume distribution over a specific price range to identify liquidity nodes [3][4]. The first live test aligned with backtest results [1], but widespread live performance data remains unavailable.

Key Insights

Cross-domain analysis reveals FRVPs are used in institutional trading for liquidity assessment [3][9], but the model’s anonymous authorship and lack of peer review raise credibility concerns [1][2]. The high profit factor is notable, but without transparency on parameters (e.g., FRVP range settings) or risk metrics (e.g., drawdowns), its real-world viability remains unproven [5][8].

Risks & Opportunities

Risks include overfitting to historical data [5], lack of transaction cost inclusion in backtests [8], and subjective FRVP range selection [3][4]. Opportunities exist for traders if live performance matches backtests, but this requires further validation [1][2].

Key Information Summary

The PMM model claims strong backtest results for ES futures, but users should exercise caution due to unproven live performance, limited transparency, and potential overfitting risks. Critical factors to monitor include public updates on live results and disclosure of model parameters [1][2][5]

Previous
No previous article
Next
No next article
Related Reading Recommendations
No recommended articles
Ask based on this news for deep analysis...
Alpha Deep Research
Auto Accept Plan

Insights are generated using AI models and historical data for informational purposes only. They do not constitute investment advice or recommendations. Past performance is not indicative of future results.