Pot 50 & 200 days Simple moving average (SMA). Created class SMApython and used in TestOne
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Updated
Mar 1, 2024 - Jupyter Notebook
Pot 50 & 200 days Simple moving average (SMA). Created class SMApython and used in TestOne
Just another market stock treemap
Create your own indicators and back test trading strategies in a fully customizable environment
This Repo contains the code containing an elementary trial to automate trading. Precisely, we have implemented the ‘Quantitative Momentum Strategy’ and the ‘Quantitative Value Strategy’ using python language. The code provided is actually beginning friendly and is well comented for better understanding else the readme.md closes up the rest gaps.
Algorithmic Trading means using computers to make investment decisions. We will be using World's most popular S&P 500 Stock market index in order to do Data Analysis and generate predictions. Let us make investments on Stocks, easy for everyone!
This repository is my dedicated space for mastering algorithmic trading using Python.
The frontend and docs for quantDP, a platform that aims to make high-quality institutional market data accessible to all.
Backtesting Algo-Trading Strategies, FinTech Analysis & Portfolio Optimization: NVDA, AMD, INTC, MSI vs S&P 500 Benchmark
A Trader bot using lumibot library and alpaca trading account to backtest a strategy and plot it.
codes from book Python for Finance by Yves Hilpisch
THONG NGO
Repository with links to key courses
A trading bot that uses TradingView alarms to trade on Binance. Runs on Heroku.
Daily forecast results for China A Shares. 适用于中国A股的每日预测结果。所有文件在每个交易日20:00-20:30更新预测数据
Financial algorithms using Python
DQN for algorithmic trading
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