ES Futures Intelligence
Pre-market volatility estimation for E-mini S&P 500 futures. A quantitative risk model built to frame volatility context and position sizing before the bell rings.
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Many independent futures traders begin the session without a structured view of current volatility conditions. When the market moves against them, it is difficult to tell whether the trade was poorly sized, poorly timed, or simply taken in a higher-volatility regime. Without that context, risk decisions become reactive instead of systematic.
Volatility is a primary input in position sizing and risk management, yet before each session many traders still operate without a disciplined estimate of the day’s likely range. Without that baseline, sizing decisions are often made with limited context around whether current conditions are compressed, average, or expanded.
Assetly provides a daily pre-market volatility estimate for ES futures, built on historical data and a multi-layer quantitative framework. The goal is to give traders a structured view of expected session conditions before the open, with output that supports range assessment, confidence framing, and position sizing decisions.
Our mission is to give independent traders access to the kind of pre-market volatility context and risk structure more commonly found in institutional workflows.
Multiple market variables are evaluated before the open and organized into a structured view of current volatility conditions. The objective is to turn layered pre-market inputs into a more systematic basis for risk assessment.
Before the open, Assetly provides a quantified estimate of the ES session range. This gives traders a more structured view of current volatility conditions and a stronger basis for position sizing before execution begins.
The output is designed to translate pre-market volatility context into a more systematic position sizing process. This helps traders calibrate exposure with greater consistency at the start of the session.