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"From this simple example, we can draw an important conclusion: as the number of trials increases, statistics more accurately reflects the properties of the object that generates them."
For a stationary process (Spherical Horse in Vacuum) - Yes.
For Time Series of real data this statement is more like nonsense.
If Forex were a Stationary Time Series - MQL5 would not be needed to estimate it - simple wooden brushes from the grocery store would suffice.
If holes are drilled in the moth in a chaotic order and at chaotic time intervals.
then the statistics for the whole period will be more like a RosStat report - or the ravings of a madman.
"This is where the main task of a trader arises: knowing the data on trades for a certain period of time (statistics), predict the behaviour of prices (rate) for the next period of time (get probability), and based on this make a decision to buy or sell."
another statement in terms of meaning is not far from nonsense. In order to forecast something, one should first prove to oneself that the series is not random and can be forecasted. It is possible to have income on random series. they cannot be predicted but you can get out of them. probability asymmetry and positive/negative expectation.
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