Saturday / March 26, 2022
My plan for tomorrow is to begin applying the Biblical Approach to Trading (BAT) which I call "Numerical Price Prediction" in a manner that will enable me to use the NADEX platform to generate an exponential amount of growth in capital via an extremely small initial trading balance. However, I will simply be intraday trading rather than guerrilla trading, but have returned to this "old" journal so as not to have to create a new one.
The purpose of the journal going forward will be to evaluate/analyze the more nuanced trades involved in this endeavor. For example, though the basic idea will be to trade in the direction of the 16-hour baseline, entering positions when price is located to the "far side" of the associated price range, will it make sense to do so even if the slopes of the four-hour and 90-minute baselines (two other key measures) are angled in the opposite direction? Or will the stats ultimately reveal that in such situations, these two measures should take precedence?
Given that statistical probability is at the heart of this system, I'm going to need clarity on these kinds of questions (i.e., the math/numbers) and will therefore be keeping track of outcomes here to compile the odds of various combinations of factors leading to profitable decision making.
My plan for tomorrow is to begin applying the Biblical Approach to Trading (BAT) which I call "Numerical Price Prediction" in a manner that will enable me to use the NADEX platform to generate an exponential amount of growth in capital via an extremely small initial trading balance. However, I will simply be intraday trading rather than guerrilla trading, but have returned to this "old" journal so as not to have to create a new one.
The purpose of the journal going forward will be to evaluate/analyze the more nuanced trades involved in this endeavor. For example, though the basic idea will be to trade in the direction of the 16-hour baseline, entering positions when price is located to the "far side" of the associated price range, will it make sense to do so even if the slopes of the four-hour and 90-minute baselines (two other key measures) are angled in the opposite direction? Or will the stats ultimately reveal that in such situations, these two measures should take precedence?
Given that statistical probability is at the heart of this system, I'm going to need clarity on these kinds of questions (i.e., the math/numbers) and will therefore be keeping track of outcomes here to compile the odds of various combinations of factors leading to profitable decision making.
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