Retrieve real-time cryptocurrency data, and execute trading strategies. The code is written in Python and provides customizable options for trading strategies and risk management. Please note that it is important to understand the risks involved in cryptocurrency trading and to exercise caution when using automated trading bots.

Trading Simulator to backtest RSI strategies, optimize parameters, and predict future stock prices with LSTM

Using Supervised and Unsupervised Learning to predict stocks

Simulations of the Wheel strategy

Application of Foster Friess' strategy on stock selection, July 2017

Python code for multiple trade order entries triggered from Tradingview alerts passing a JSON payload to the Alpaca Broker API

Trading application which uses a broker API to predict the market flow and make automated transactions.

This repository will be used for various python scripts. I code for fun mostly for now, looking to get a leg up in the programming world.

Full code for my Medium article exploring the use of sentiment analysis as a buy trading signal.

Forecast stocks using machine learning algorithms. This is the final project for Data Science 3580.

基于Python的开源量化交易平台开发框架

It will allow the trader to get notified about the stock price

trade bot

This project explores the generation of alpha signals for Qualcomm Incorporated (QCOM) stock using a stacked Long Short-Term Memory (LSTM) model on 30-minute timeframes. The aim is to accurately predict short-term price movements and capitalise on trend and reversal patterns.

The Trade Genius Chatbot is an innovative web application designed to provide users with a seamless interface for interacting with a cryptocurrency trading assistant. This app allows users to fetch real-time cryptocurrency data, perform technical analysis, and receive trading advice.

stock, fund and crypto analysis bot

Backtest market strategies and find an edge

Backtest trading strategies using Relative Strength Index (RSI) and Bollinger Bands indicators. Built using Python (Pandas, Numpy, Backtesting.py, Plotly, Streamlit)