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ICT - MTF Bias Probability
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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.
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Added Monthly Statistics Catatan Rilis
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