analysis-sharing VS fastquant

Compare analysis-sharing vs fastquant and see what are their differences.

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analysis-sharing fastquant
1 2
45 1,415
- -
6.2 4.3
4 months ago 7 months ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

analysis-sharing

Posts with mentions or reviews of analysis-sharing. We have used some of these posts to build our list of alternatives and similar projects.

fastquant

Posts with mentions or reviews of fastquant. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-18.
  • Launch HN: Coinrule (YC S21) – Automated Trading Made Easy
    1 project | news.ycombinator.com | 15 Jul 2021
    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.
    3 projects | /r/algotrading | 18 Jun 2021
    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?

When comparing analysis-sharing and fastquant you can also consider the following projects:

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.