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crypto/brian/readme.md

@@ -35,3 +35,8 @@ we're trying to create a 8b neural network (ai) that will consume live and histo
 we're stuck, and the code needs fixing
 The Nn should have one task - to predict next low/high on the short term charts ( 1m, 5m or other - configurable) based on the all past info in parallel from all the different timeframes candles and all the passed indicators candles. It should also have a dedicated NN module todiscover and pay attention to spefic parts in the charts - building and training it's own indicator in a sense. We later use the predicted high/low 5m/1h in the future to buy now and sell later or to short now and close later in the bot. We will have a threshhold of certainty to act, and also do it only if multiple timeframes predictions align. So we may use a transformer module to predict future candles and train that with RL while the candles are rolling until the NN can predict with small loss.
 existing (running  but unfinished ) code:
+--------
+implement these suggestions into our code and add arguments for easy switching of modes:
+- train (only): pool latest data and use it for backtesting with RL to learn to detect peaks/valleys 
+- live: load best checkpoint and latest HLOCv data to actively generate trade signals, but calculate and back propagate errors when closing positions. optimize for profit in the reward function
+- inference: optimize model loading for inference only - load historical data and periodically append new live data and generate siganls but without active RL