gs-quant
fastquant
Our great sponsors
gs-quant | fastquant | |
---|---|---|
96 | 2 | |
2,456 | 1,420 | |
4.6% | - | |
7.9 | 4.3 | |
13 days ago | 8 months ago | |
Jupyter Notebook | Jupyter Notebook | |
Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
gs-quant
fastquant
-
Launch HN: Coinrule (YC S21) – Automated Trading Made Easy
I would never trust a service like this, but at the same time, I'm curious on how to setup the opposite of their motto: "compete with professional algorithmic traders and hedge funds. coding required!".
Does Fidelity offer an API of some sort so that I can login with my normal credentials and buy/sell? I'm assuming the strategies being used here, like "Ride the Trend", are basically the same ones available here: https://github.com/enzoampil/fastquant
So, given that the previous statements are true, do I just need some Yahoo! Finance API + FastQuant and then MyBank API to autotrade for myself? What else would be involved?
-
Backtesting in Python, recommendations please.
https://github.com/enzoampil/fastquant -sort of a wrapper for backtrader that makes it very easy to run backtests and design trade strategies.
What are some alternatives?
FinancePy - A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
backtrader - Python Backtesting library for trading strategies
machine-learning-for-trading - Code for Machine Learning for Algorithmic Trading, 2nd edition.
market-making-backtest - algo trading backtesting on BitMEX
resistance - Pre-crisis Risk Management for Personal Finance
StockSharp - Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
notebooks - Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers.
FinanceOps - Research in investment finance with Python Notebooks
Mad-Money-Backtesting - Backtesting recommendations from Mad Money and "The Cramer Effect/Bounce"
ccxt - A JavaScript / TypeScript / Python / C# / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges
backtesting.py - :mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
coda - Mina is a new cryptocurrency with a constant size blockchain, improving scaling while maintaining decentralization and security. [Moved to: https://github.com/MinaProtocol/mina]