Structure rules. Learning how to structure programmes, exploring possibilities, errors, solutions, etc. - page 15
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The point is that the starter most likely has not a strategy, but a price predictor.
MM module is a layer between the predictor and driver and it works in different ways, from capitalization and risk limit (relative drawdown in X ... hours/trades/pts of movement) to a radical reversal of the position recommended by the predictor.
These robots definitely need treatment. The treatment can be very simple. All it takes is motivation. This is basic.
And to be motivated, they need to see and appreciate the colossal superiority of netting thinking over order thinking. As long as they're sick, I won't let them anywhere near the healthy population - let them sit in quarantine...
:)
What isn't? Do I have to apologize? Or am I guessing correctly? ;-))No, you haven't:) In my model there is no concept of remembered signal. It's simpler, because A robot can do two and only two things. Either open a position or close it. There is no third option. A position may be either long or short. If there is a long position, it is checked against the long close conditions; if there is a short position, it is checked against the short close conditions. The scheme is very simple:
That's it! No one remembers anything, it only works with what it has at the moment.
The point is that the starter most likely has not a strategy, but a price predictor.
And what you(C-4) are talking about is the work of a Money Management module, that receives both predictor readings and past trade results as an input(some kind of function). If there is no MM, the final trading algorithm, in fact, will transform a virtual position of the predictor (who doesn't care about past results of trading) into a real one, where the future market direction is a sign of a recommended position, and the confidence/probability is proportional to the volume of the same position.MM module is a layer between the predictor and driver and it works in different ways, from capitalization and risk limit (relative drawdown in X ... hours/trades/pts of movement) to a radical reversal of the position recommended by the predictor.
These robots should definitely be treated. The treatment can be very simple. All it takes is motivation. This is basic.
That's a lot of robots to treat.
Or maybe it's just that the scheme is not universal, and not suitable for all cases.
No, guessed wrong:) There is no concept of a memorised signal in my model. It's simpler, because a robot can do two and only two things Either open a position or close a position. There is no third option. A position may be either long or short. If there is a long position, it is checked against the long close conditions; if there is a short position, it is checked against the short close conditions. The scheme is very simple:
That's it! No one remembers anything and only works with what is currently available.
I won't play along. ;)
Where do we put all this stuff:
How does it not matter!? Yes in any strategy at the level of its logic, its current state is always known! Let's take a simple strategy on the intersection of two averages: it has only two states, it is either buying or selling. Without memorizing its position, it will open a long position every time it sees that the fast average is above the slow one. So what's the synchronizer to do? Say to her: "no, you already have a long position, I won't let her open another one!
:-)
I responded to all these arguments. And now it turns out that all this didn't happen at all?
And I have all the moves written down...!
;-)))
MM is money management.
... and its results can be anything, ... up to a radical reversal of the position recommended by the prognosticator.
See, the parser/prognosticator/brain/neighbour recommends buying assets. Your MM module remembers (has accumulated statistics) that these recommendations have been failing a lot lately (already breached the trust threshold). It makes sense to do the opposite, it does. It's just that MM's function is a bit more sophisticated, like investor behaviour.
P.S. It is difficult for a person to switch to netting; he is afraid and does not understand how it happens - opening and closing of orders, take profit and stop loss, the number of deals - everything disappears. Only one position remains (one number hovering near zero), and the need to maintain it. Plain and simple.
P.S. It is difficult to transfer a person to netting, he is scared and does not understand how, opening and closing orders, take profit and stop loss, the number of deals - everything disappears. Only one position (one number hovering near zero) remains and we need to maintain it. Plain and simple.
MM is money management.
See analyser/prognosticator/brain/neighbour recommends buying assets. Your MM module remembers (has accumulated statistics) that these recommendations have been failing a lot lately (already breached the trust threshold). It makes sense to do the opposite, it does. It's just that MM's function is a bit more sophisticated as an investor's behaviour.
P.S. It is difficult for a person to switch to netting, he is scared and does not understand how, opening and closing orders, take profit and stop loss, the number of deals - everything disappears. Only one position remains (one number hovering near zero), and the need to maintain it. Plain and simple.