
Build AI model for cryptocurrency forecast
$145
Delivery in
1 day
Rating
100%
(1 review)
(1 review)
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What you get with this Offer
A desktop application which reads orderbooks from diverse exchanges using their public API..
An AI model (Machine learning, Deep learning model) trained with GPU..
A CNN, LSTM, RNN , GRU is trained on the data to build an application capable of forecasting the next horizon..
Building an app for cryptocurrency forecast is a challenging task, due to high volatility..
Don't search around applications which are based on Candle price.. The Candle prices (OHLC) just shows very little about the future..
projects on cryptocurrency for prediction in 1 hour horizon have low performances. I have experience on working on projects to predict based on both OHLC candle price and the sentiment analysis of upcoming news for building a predictive model on cryptocurrency. Although the upcoming news might be effective in the price movement but the OHLC, as it also presented in published papers is not that affective.
The proposed offer looks for building predictive model based on orderbooks of diverse exchanges.
An AI model (Machine learning, Deep learning model) trained with GPU..
A CNN, LSTM, RNN , GRU is trained on the data to build an application capable of forecasting the next horizon..
Building an app for cryptocurrency forecast is a challenging task, due to high volatility..
Don't search around applications which are based on Candle price.. The Candle prices (OHLC) just shows very little about the future..
projects on cryptocurrency for prediction in 1 hour horizon have low performances. I have experience on working on projects to predict based on both OHLC candle price and the sentiment analysis of upcoming news for building a predictive model on cryptocurrency. Although the upcoming news might be effective in the price movement but the OHLC, as it also presented in published papers is not that affective.
The proposed offer looks for building predictive model based on orderbooks of diverse exchanges.
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