FinanceOps
fastquant
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FinanceOps | fastquant | |
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24 | 2 | |
761 | 1,420 | |
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0.0 | 4.3 | |
about 2 years ago | 8 months ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | MIT License |
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FinanceOps
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.
What are some alternatives?
FinRL - FinRL: Financial Reinforcement Learning. 🔥
backtrader - Python Backtesting library for trading strategies
FinRL - Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance. NeurIPS 2020 & ICAIF 2021. 🔥 [Moved to: https://github.com/AI4Finance-Foundation/FinRL]
gs-quant - Python toolkit for quantitative finance
FinRL-Library - Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance. NeurIPS 2020 & ICAIF 2021. 🔥 [Moved to: https://github.com/AI4Finance-Foundation/FinRL]
market-making-backtest - algo trading backtesting on BitMEX