fastquant
gs-quant
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| fastquant | gs-quant | |
|---|---|---|
| 2 | 96 | |
| 1,415 | 2,444 | |
| - | 4.1% | |
| 4.3 | 7.9 | |
| 7 months ago | 4 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | Apache License 2.0 |
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fastquant
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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?
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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.
gs-quant
What are some alternatives?
backtrader - Python Backtesting library for trading strategies
FinancePy - A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
market-making-backtest - algo trading backtesting on BitMEX
machine-learning-for-trading - Code for Machine Learning for Algorithmic Trading, 2nd edition.
StockSharp - Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
resistance - Pre-crisis Risk Management for Personal Finance
FinanceOps - Research in investment finance with Python Notebooks
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.
ccxt - A JavaScript / TypeScript / Python / C# / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges
Mad-Money-Backtesting - Backtesting recommendations from Mad Money and "The Cramer Effect/Bounce"
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]