Machine learning in trading: theory, models, practice and algo-trading - page 1954
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the first 500
A grid with 1 neuron and 1 input produced. 1.7 million ticks. 0.618 profitable trades, 0.38 expectation. If you want to check it, I'll send you the initial series.
A grid with 1 neuron and 1 input produced. 1.7 million ticks. 0.618 profitable trades, 0.38 expectation. If you want to check it, I will send you the initial series.
Pictures from the training plot are of no interest to anyone. Build on the test plot or oob plot.
this is validation
this is validation
it's validation
add the spread )
add the spread )
this is the next step, like the price is random, and there's a profit on 1 neuron
on random
this is the next stage, like the price is random, and there is a profit on 1 neuron
on the random
so far, everything fits ) but the spread can solve the TS
So far, everything fits ) but the spread may be decided by the TS.
I'll add the spread anyway, I don't know how to do it properly yet, I need a target, something like a zigzag.
I will add a spread anyway, I don't know how to do it properly yet, I need a target, something like a zigzag.
subtract from each trade
the first 500
A grid with 1 neuron and 1 input produced. 1.7 million ticks. 0.618 profitable trades, 0.38 expectation. If you want to check it, I'll send you the initial series.
Is "raw series" a price or a sample? Please reset the sample.