analysis-sharing VS fastquant

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

analysis-sharing

Sharing quantitative analyses on Crypto Lake data (by crypto-lake)

fastquant

fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code! (by enzoampil)
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analysis-sharing fastquant
1 2
26 1,101
- -
10.0 0.0
3 months ago 3 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.

We haven't tracked posts mentioning analysis-sharing yet.
Tracking mentions began in Dec 2020.

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.

What are some alternatives?

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

backtrader - Python Backtesting library for trading strategies

gs-quant - Python toolkit for quantitative finance

market-making-backtest - algo trading backtesting on BitMEX

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

ccxt - A JavaScript / Python / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges

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]

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.