PROTECTED SOURCE SCRIPT
ICT - MTF Bias Probability
Mis à jour
The ICT - MTF Bias Probability Statistics is a sophisticated trading tool designed to help traders identify and leverage market bias across multiple timeframes. By analyzing price actions relative to key levels, such as the previous day's high and low, this indicator provides a clear directional bias—bullish, bearish, or neutral—based on specific market conditions.
Key Features
1. Multi-Timeframe Analysis
- The indicator evaluates price movements on various timeframes, including 15-minute, 1-hour, 4-hour, daily, and weekly charts.
- It determines the bias for each timeframe, helping traders understand the broader market context.
2. Bias Determination
- A bullish bias is established when the current price closes above the previous day’s high, while a bearish bias is indicated by a close below the previous day’s low.
- Additional conditions consider price wicks and closings within the previous day's range to refine the bias determination.
3. Advanced Probability Calculations
- The indicator employs a unique probability calculation that factors in proximity to key levels, price momentum, volatility, and time decay.
- These probabilities give traders an edge by quantifying the likelihood of the market reaching the previous day’s high or low, depending on the bias.
4. Visual Table Display
- A table is displayed on the chart, summarizing the bias and probability for each timeframe, alongside an overall market bias.
- This feature allows traders to quickly assess market conditions and make informed decisions.
5. Ideal Trade Levels
- For traders looking to optimize entry points, the indicator suggests ideal buy and sell levels based on New York midnight open prices, adjusted according to the overall bias.
The ICT - MTF Bias Probability Statistics is a powerful tool for traders who want to align their strategies with higher timeframe market trends while leveraging advanced probability analysis to improve decision-making.
Key Features
1. Multi-Timeframe Analysis
- The indicator evaluates price movements on various timeframes, including 15-minute, 1-hour, 4-hour, daily, and weekly charts.
- It determines the bias for each timeframe, helping traders understand the broader market context.
2. Bias Determination
- A bullish bias is established when the current price closes above the previous day’s high, while a bearish bias is indicated by a close below the previous day’s low.
- Additional conditions consider price wicks and closings within the previous day's range to refine the bias determination.
3. Advanced Probability Calculations
- The indicator employs a unique probability calculation that factors in proximity to key levels, price momentum, volatility, and time decay.
- These probabilities give traders an edge by quantifying the likelihood of the market reaching the previous day’s high or low, depending on the bias.
4. Visual Table Display
- A table is displayed on the chart, summarizing the bias and probability for each timeframe, alongside an overall market bias.
- This feature allows traders to quickly assess market conditions and make informed decisions.
5. Ideal Trade Levels
- For traders looking to optimize entry points, the indicator suggests ideal buy and sell levels based on New York midnight open prices, adjusted according to the overall bias.
The ICT - MTF Bias Probability Statistics is a powerful tool for traders who want to align their strategies with higher timeframe market trends while leveraging advanced probability analysis to improve decision-making.
Notes de version
fix the color schemeNotes de version
Added Monthly Statistics Notes de version
minor fixes Script protégé
Ce script est publié en code source fermé et vous pouvez l'utiliser librement. Vous pouvez le préférer pour l'utiliser sur un graphique. Vous ne pouvez pas visualiser ou modifier son code source.
Vous voulez utiliser ce script sur un graphique ?
Clause de non-responsabilité
Les informations et les publications ne sont pas destinées à être, et ne constituent pas, des conseils ou des recommandations en matière de finance, d'investissement, de trading ou d'autres types de conseils fournis ou approuvés par TradingView. Pour en savoir plus, consultez les Conditions d'utilisation.