I have been working on a ETH price prediction algorithm for an Ocean Protocol competition and I'm currently looking to team up with others.
The data I use is mostly ETH (OHLC) price as well as some other data made available. I was wondering what's the best way to go about improving the accuracy of the model? So far I'm using MA/EMA/RSI/OBV as indicators.
I'm not expecting a 0% error - I was off by ~10% when I started and I managed to get it down to 4% now so probably with a 1% tolerance I would be happy with. Also I'm hoping that if the market enters a consolidation period, there will be less volatility and price predictions will be easier.
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