tejaslinge/Alpaca-ROC-Trading-Bot

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Python
Created about 3 years ago
Updated 4 months ago

tejaslinge/Alpaca-ROC-Trading-Bot

tejaslinge

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Trading Bot using Alpaca API in Python. Indicators used: ROC (Rate of Change)

Stock-Price-Prediction-using-LSTM-and-Technical-Indicators

In this Jupyter Notebook, I've used LSTM RNN with Technical Indicators namely Simple Moving Average (SMA), Exponential Moving Average (EMA), Moving Average Convergence Divergence (MACD), and Bollinger Bands to predict the price of Bank Nifty.

Jupyter Notebook

Alpaca-StochRSI-EMA-Trading-Bot

Trading Bot built using the Alpaca API in Python. Indicators used for Signal Generation: EMA, StochRSI, and Stochastic Oscillator

Technical-Analysis-using-Python

Technical analysis and back-testing in Python

Jupyter Notebook

Risk-Management-and-Markowitz-Efficient-Frontier

Markowitz Efficient Frontier and volatility measures in Python

Jupyter Notebook

Google-Maps-Places-Scraper

A standalone app to scrape places from Google Maps (example: Pizza Places in New York)

Alpaca-Pairs-Trading-Bot

Pairs Trading Bot for NYSE built using Alpaca API & Python

FIFA20-Analysis

Web App for Statistical Analysis of Teams and Players in FIFA-20 using Numpy, Pandas, Seaborn, Plotly and Streamlit.

Jupyter Notebook

Marketing-Analysis

This project demonstrates how to perform EDA on marketing campaign data and make future marketing performance predictions

Jupyter Notebook