End-of-Session Probability

How it works

The indicator uses a statistical probability model with a normal distribution to estimate the likelihood of reaching a price target by session end. It calculates a z-score by dynamically adjusting standard deviation based on remaining session time, creating a probability distribution of potential price movements.

The model incorporates directional bias through a daily Hull Moving Average, which can be evaluated using either price comparison or slope method. An optional morning momentum weighting allows traders to factor in early session price changes, providing additional context to the probability calculations.

Why it may be useful

This signal provides traders with a quantitative approach to understanding potential market direction and price targets within a trading session. By blending statistical probability with trend analysis and momentum, it offers a more nuanced view of market expectations beyond traditional technical indicators.

The indicator helps traders make more informed decisions by quantifying the probability of price movements, allowing for more strategic trade entry, exit, and risk management. Its dynamic approach adapts to changing market conditions, giving traders a flexible tool for assessing intraday market behavior.

When to explore it

The signal is most effective during active trading sessions with clear market trends and sufficient price volatility. It works best for traders seeking a data-driven approach to intraday price movement prediction, particularly in markets with consistent directional movements.

Traders can leverage this indicator during morning trading hours when market momentum is typically established. It is particularly useful for day traders and scalpers who need quick, probabilistic insights into potential price targets and market sentiment within a single trading session.

Keep exploring