vectorbt VS Wizardry

Compare vectorbt vs Wizardry and see what are their differences.

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vectorbt Wizardry
5 2
3,660 39
- -
6.0 2.6
about 1 month ago almost 3 years ago
Python Python
GNU General Public License v3.0 or later 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.

vectorbt

Posts with mentions or reviews of vectorbt. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-14.
  • Is there any python libraries to backtest buy and sell signals with dates?
    2 projects | /r/algotrading | 14 Jun 2022
    For exactly this I use this https://github.com/polakowo/vectorbt itā€™s really a powerful tool and you can tons of things with it. Recently the developer decided to maintain it but not adding new features, which from now on will be released on the pro version. However, the free version is still very valuable, incredibly fast and suitable for basic to intermediate tasks.
  • Why Building a Trading Algorithm is More Than Just the Algorithm - 3 Things
    4 projects | dev.to | 19 Feb 2022
    Itā€™s super easy to get up and running with code. With the rise of data science as a field, datasets are far and wide. Accessible from just about any venue. Take a look at Kaggle, QuiverQuant, Yahoo Finance, or even directly from the brokerages and exchanges. Developers can easily download data directly as a .csv or .json and quickly get up and running by utilizing frameworks like backtesting.py or vectorbt. ā€œGreat, it seems like I can get up and running and Iā€™ll have an awesome money making trading algorithm in no timeā€.... unfortunately, wrong. Why is this wrong? Well, simulation is NOT the real world. The real world is not a CSV fileā€”the real world is a stream of events. Cause and effect. The real world works in a fashion where new data comes in, you make a decision, and then you figure it out, not ā€œI have all of this data, let me run this all through time and figure it outā€. Indeed, the data sources that you get in real-time are almost completely different from the data sources you use in simulation. Rather than .csv you use WebSockets; rather than QuiverQuant you use APIs; rather than backtesting frameworks you use more robust, event driven packages. Without it, youā€™re stuck duplicating code, rewriting it into an event-based system, and ultimately using that to go into production, and who knows if your code is going to change along the way.
  • Looking for active python backtesting framework
    3 projects | /r/algotrading | 9 Feb 2021
    However, it's not the fastest framework. If you need speed, and are good with the data science tool chain in python and the concept of flattening loops into vectorized operations, check out vector-bt. I haven't gotten a chance to play with it yet, but I'm definitely going to as soon as I find some spare time. It seems like a great option with a nicely modernized approach.

Wizardry

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

We haven't tracked posts mentioning Wizardry yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing vectorbt and Wizardry you can also consider the following projects:

backtrader - Python Backtesting library for trading strategies

backtesting.py - :mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.

fast-trade - low code backtesting library utilizing pandas and technical analysis indicators

jesse - An advanced crypto trading bot written in Python

zipline - Zipline, a Pythonic Algorithmic Trading Library

OctoBot - Open source crypto trading bot

Python-NSE-Option-Chain-Analyzer - The NSE has a website which displays the option chain in near real-time. This program retrieves this data from the NSE site and then generates useful analysis of the Option Chain for the specified Index or Stock. It also continuously refreshes the Option Chain and visually displays the trend in various indicators useful for Technical Analysis.

Alpaca-API - The Alpaca API is a developer interface for trading operations and market data reception through the Alpaca platform.

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

ta4j - A Java library for technical analysis.

aat - Asynchronous, event-driven algorithmic trading in Python and C++

gym-anytrading - The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)