Mad-Money-Backtesting
fastquant
| Mad-Money-Backtesting | fastquant | |
|---|---|---|
| 2 | 2 | |
| 13 | 1,420 | |
| - | - | |
| 0.0 | 4.3 | |
| over 1 year ago | 8 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | MIT License |
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Mad-Money-Backtesting
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Backtesting Mad-Money recommendations and the Cramer-effect
GitHub repo (code & data) You can extend the available strategies and use the data to test your own thoughts Data is automatically updated every day
GitHub repo (code and data)
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?
machine-learning-for-trading - Code for Machine Learning for Algorithmic Trading, 2nd edition.
backtrader - Python Backtesting library for trading strategies
zenbot-sim-runner - A sim run batch aggregator / automator for Zenbot. Eases the process of backtesting and subsequent analysis of results.
gs-quant - Python toolkit for quantitative finance
awesome-systematic-trading - A curated list of insanely awesome libraries, packages and resources for systematic trading. Crypto, Stock, Futures, Options, CFDs, FX, and more | 量化交易 | 量化投资
market-making-backtest - algo trading backtesting on BitMEX
TTM - # TTM Stock squeeze detection based on bollinger + keltner channels. Detects which stocks are out after bollinger is inside keltner channel.
StockSharp - Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
FinanceOps - Research in investment finance with Python Notebooks
LeverageCalculator - A C++ program that calculates the leveraged return of stocks given the risk-free rate and stock return data, and then generates a plot of the leveraged return using the Gnuplot library.
ccxt - A JavaScript / TypeScript / Python / C# / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges