Algorithmic-Trading-of-BTC-USDT

1. Developed an Algorithmic Trading Model for trading BTC/USDT in the cryptocurrency market using OHLCV data
2. Incorporated a regression based technique to predict next day's close price using RSI, MACD, Wiilliam Percent Range, Chaikin Money Flow Line as technical indicators.
3. Proposed a market trend based clustering algorithm to cluster windows of time into market trends, and then used a SVM classification model to predict upward/downward trend based on those clusters