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Probability MTF [Anan]
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█ OVERVIEW
Probability is simply how likely something is to happen.
Whenever we’re unsure about the outcome of an event, we can talk about the probabilities of certain outcomes—how likely they are.
The best example for understanding probability is flipping a coin, There are two possible outcomes—heads or tails..
In our case, the coin is (Green/Red) Candles
So:
Probability of an event = (# of ways it can happen) / (total number of outcomes)
P(A) = (# of ways A can happen) / (Total number of outcomes)
So:
The probability of the next candle is green (Up)= (# of past green candles) / (total both candles sum "length")
The probability of the next candle is red (Down)= (# of past red candles) / (total both candles sum "length")
█ FEATURES
- Fully control of Probability (Source / Length)
- Show / Hide / customize three rows of Probability.
- Multi-timeframe Table.
- Full control of displaying any row or any column.
- Full control of Table position and Size and Colors.
Probability is simply how likely something is to happen.
Whenever we’re unsure about the outcome of an event, we can talk about the probabilities of certain outcomes—how likely they are.
The best example for understanding probability is flipping a coin, There are two possible outcomes—heads or tails..
In our case, the coin is (Green/Red) Candles
So:
Probability of an event = (# of ways it can happen) / (total number of outcomes)
P(A) = (# of ways A can happen) / (Total number of outcomes)
So:
The probability of the next candle is green (Up)= (# of past green candles) / (total both candles sum "length")
The probability of the next candle is red (Down)= (# of past red candles) / (total both candles sum "length")
█ FEATURES
- Fully control of Probability (Source / Length)
- Show / Hide / customize three rows of Probability.
- Multi-timeframe Table.
- Full control of displaying any row or any column.
- Full control of Table position and Size and Colors.
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