Quant Dev & Analyst at BIDV Securities
Master of Science in Finance at Ca' Foscari University of Venice
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crypto-return-predictor
crypto-return-predictor PublicUtilized sentiment-based features to predict cryptocurrency returns, models used: Random Forest Classifier, Random Forest Regressor, and VAR time-series model
Python 9
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base-trading
base-trading PublicCheck out my web dashboard for backtesting a trading strategy, built with Plotly and Dash!
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