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Come Ordinare un Robot di Trading in MQL5 e MQL4
Visualizza un esempio di Specifiche dei requisiti necessarie per ordinare un robot
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50 - 100 USD
30 - 50 USD
30+ USD
Specifiche
The project is aimed at predicting the direction of the close of the next candle. i.e The Binary class/binary option model predicting bull or bear probability using Deep Learning/
A developer in Deep Learning / Machine learning/ with experience using models and methods like LSTM-GRU, XGBoost, AdaBoost, Anomaly detection and Exploitation to predict with high probability the direction of the next 1 minute or 5 Minute candle or X Candle.
The objective of this is to generate output/alert before the close of the current candle whether the next forming candle will be bull or bear i.e. close below or above the market open.
The ML and self-adaptive Algo will undergo rigorous cross-validation and definitely will not overfit output. The outcome should be able to work on any instrument and timeframe and prediction probability greater than 0.8 is acceptable after validation and proof of no overfitting..
Instrument of Interest - Bitcoin==>BTCUSDT. Ethereum===> ETHUSDT and Gold====> XAUUSD
These languages might help - Python, R , Matlab, Mql4 , Mql5
Data is via Binance API Historical Data including Orderbook, Interest Rate etc.. The prediction has to be validated before the task will be accepted for submission. The prediction on the live testing is expected to be out at least 5 seconds before the open of the predicted candle and the graph of live test accuracy will be plotted with Matplotlib or Plotly.
Please only reply to this posting if you have demonstrated experience and you are versatile with Python, API consumption, Machine Learning, Deep Learning, Time Series Forecast, and Stock Prediction also stating your propose duration and cost for completion.
Thank you.
Candle prediction 5 second before open of a bar.
Candle prediction 5 second before open of a bar.
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Informazioni sul progetto
Budget
100 - 400 USD
Per lo sviluppatore
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- 360
USD
Scadenze
da 7 a 12 giorno(i)