vectorbt

Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research. (by polakowo)

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better vectorbt alternative or higher similarity.

vectorbt reviews and mentions

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.
  • Vectorbt ā€“ Find your trading edge
    1 project | news.ycombinator.com | 12 Feb 2022
  • Repost with explanation - OOS Testing cluster
    1 project | /r/algotrading | 1 Jan 2022
    I second the idea of looking through software optimization, but there is no need to jump right to C. I would look at something like vectorbt. You get the speed of C running under the hood while staying in Python for your back testing code
  • 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.
  • A note from our sponsor - InfluxDB
    www.influxdata.com | 24 Apr 2024
    Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality. Learn more ā†’

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