analysis-sharing
fastquant
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analysis-sharing | fastquant | |
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1 | 2 | |
45 | 1,415 | |
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6.2 | 4.3 | |
4 months ago | 7 months ago | |
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MIT License | MIT License |
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analysis-sharing
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Analysis contest
Competition & more info: https://github.com/crypto-lake/analysis-sharing/
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?
zvt - modular quant framework.
backtrader - Python Backtesting library for trading strategies
Stock.Indicators - Stock Indicators for .NET is a C# NuGet package that transforms raw equity, commodity, forex, or cryptocurrency financial market price quotes into technical indicators and trading insights. You'll need this essential data in the investment tools that you're building for algorithmic trading, technical analysis, machine learning, or visual charting.
gs-quant - Python toolkit for quantitative finance
StockSharp - Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
market-making-backtest - algo trading backtesting on BitMEX
lumibot - Backtesting and Trading Bots Made Easy for Crypto, Stocks, Options, Futures, FOREX and more
vectorbt - Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
FinanceOps - Research in investment finance with Python Notebooks
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.