cmosongo's Stars
ossu/computer-science
🎓 Path to a free self-taught education in Computer Science!
drivendataorg/cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
opentofu/manifesto
The OpenTF Manifesto expresses concern over HashiCorp's switch of the Terraform license from open-source to the Business Source License (BSL) and calls for the tool's return to a truly open-source license.
federicomariamassari/financial-engineering
Applications of Monte Carlo methods to financial engineering projects, in Python.
KidQuant/Pairs-Trading-With-Python
This project involves using a combination of statistics along with financial thoery to demonstrate a popular trading strategy used in equity markets: Pairs Trading.
scumabo/AI-for-Trading
Udacity nanodegree: AI for Trading
SmartLever/SmartBots
A open-unique investment platform for Cryptos, Financial Markets and Sport Betting.
erykml/Python-for-Finance-Cookbook-2E
The repository of "Python for Finance Cookbook" 2nd edition
zillow/luminaire
Luminaire is a python package that provides ML driven solutions for monitoring time series data.
PatrickAlphaC/aave-flashloan-mix
A Brownie mix containing all you need to get started with developing flash loans
smartcontractkit/full-blockchain-solidity-course-py
Ultimate Solidity, Blockchain, and Smart Contract - Beginner to Expert Full Course | Python Edition
nopaixx/MaketsGA
Hands On Neural Network inside Metatrader
JerBouma/FinanceToolkit
Transparent and Efficient Financial Analysis
pranjal-joshi/Screeni-py
A Python-based stock screener to find stocks with potential breakout probability from NSE India.
hudson-and-thames/mlfinlab
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
ben-arnao/Peak_valley_detection
Flexible and robust peak/valley detector
Ant-Cu/Capstone-Project
This project was done for the purpose of completing my journey at General Assembly in Data Science. I chose to focus my project on CryptoCurrency trading with BTC and ETH prices. The goal of that study is to identify supports and resistances within a 15min, 60min and daily price timeframe then use the pivot points as indicators for predicting return direction.
edeng23/binance-trade-bot
Automated cryptocurrency trading bot
kernc/backtesting.py
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
darwinex/advanced-mql-programming
robcarver17/pysystemtrade
Systematic Trading in python
BangaloreSharks/SharkStock
Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to choose an action to sell, buy, or hold the stocks to maximize the gain in asset value. The paper also acknowledges the need for a system that predicts the trend in stock value to work along with the reinforcement learning algorithm. We implement a sentiment analysis model using a recurrent convolutional neural network to predict the stock trend from the financial news. The objective of this paper is not to build a better trading bot, but to prove that reinforcement learning is capable of learning the tricks of stock trading.
raffg/prophet_forecasting
forecasting examples using Facebook Prophet