Plugins
roboquant
Plugins | roboquant | |
---|---|---|
1 | 12 | |
16 | 376 | |
- | 2.9% | |
5.9 | 7.7 | |
about 1 year ago | 5 days ago | |
JavaScript | JavaScript | |
- | Apache License 2.0 |
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.
Plugins
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Profitable trading robots in JavaScript
Debut is an ecosystem for developing and launching trading strategies. This is an analogue of the well-known ZenBot, but with much more flexible possibilities for constructing strategies. All you need to do is come up with and describe the entry points to the market and connect the necessary plugins for work. Everything else is a matter of technology: genetic algorithms will help you select the most effective parameters for the strategy (period, stops, and others), the ticker selection module will help you find an asset (token or stock) suitable for the strategy, on which it will work best.
roboquant
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UnboundLocalError: local variable referenced before assignment
Unless this is a learning exercise, consider ready to go algotrading libraries like https://github.com/edtechre/pybroker/ or https://github.com/neurallayer/roboquant
- Kotlin algo-trading
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Release of roboquant version 1.0
After more than two years of development, I released roboquant version 1.0.
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With your help, I released roboquant version 1.0
And based on this feedback and contributions, I felt finally confident enough to release version 1.0 after more than 2 years of development. As before, you can find out more on the roboquant GitHub page.
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Algo-trading with Kotlin
The software is free (Apache 2.0 license) and you can get the source code at GitHub
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Support for IEX Cloud
Within my open source algo-trading platform roboquant (GitHub), I have been supporting IEX Cloud as a one of the data feed providers for market data.
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Multiple instrument backtesting at the same time
But roboquant can do this, it is even the main modus operandi. It is written in Kotlin/JVM and is very fast even with large amount of data. You can find out more at: GitHub
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New algo trading software
The platform is called roboquant (named after robocop ;) and is written in Kotlin. It is completely free and you can get the source code at GitHub
- GitHub - neurallayer/roboquant: Roboquant is an open source algorithmic trading platform written in Kotlin. It is very fast, flexible, user-friendly and completely free to use.
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feedback on new open source algo-trading framework
Recently I put my algo-trading software named roboquant on GitHub. It is fully open source and would love some feedback from people interested or experienced using algo-trading. So for example if you trade frequently and looking to automate it, what is it you are looking for?
What are some alternatives?
Strategies - Examples of trading strategies based on indicators. Pre-configured environment for working with the Debut algo-trading constructor. (Javascript)
pybroker - Algorithmic Trading in Python with Machine Learning
Indicators - Technical indicators for cryptocurrencies, stocks and forex. To work with historical and real price data. One of the most efficient Javascript library implementations. The library has such indicators as: Relative Strength Index (RSI), Moving Average C / D (MACD), Average Directional Index (ADX), Stochastic Oscillator, Bollinger Bands, Average True Range (ATR) and many others
ib_insync - Python sync/async framework for Interactive Brokers API
Zenbot 3 - Zenbot is a command-line cryptocurrency trading bot using Node.js and MongoDB.
aat - Asynchronous, event-driven algorithmic trading in Python and C++