fast-trade
low code backtesting library utilizing pandas and technical analysis indicators (by jrmeier)
finta
Common financial technical indicators implemented in Pandas. (by peerchemist)
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| fast-trade | finta | |
|---|---|---|
| 12 | 5 | |
| 336 | 1,728 | |
| - | - | |
| 4.0 | 2.7 | |
| about 1 month ago | almost 2 years ago | |
| Python | Python | |
| GNU Affero General Public License v3.0 | GNU Lesser General Public License v3.0 only |
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.
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.
fast-trade
Posts with mentions or reviews of fast-trade.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-03-28.
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Important python libraries?
I'm also going to shamelessly plug fast-trade, which is a backtesting library where you write strategies as objects instead of actual code. It's also built on a couple of pretty wonderful libraries including pandas and FinTa, which has a lot of indicators and it's really simple to use.
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brute force matrix optimization for a snapshot of stock data.
Hey OP, I do something similar for a project I'm working on here: https://github.com/jrmeier/fast-trade/blob/b09500c8454ea748b3f0d7ff960eb2bea79ad7a8/fast_trade/run_backtest.py#L103 and https://github.com/jrmeier/fast-trade/blob/b09500c8454ea748b3f0d7ff960eb2bea79ad7a8/fast_trade/run_backtest.py#L126
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Custom forex backtester
I wrote fast-trade to answer exactly questions like this
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What do they use to manage the tick data?
For ohlcv data,I wrote fast-trade with a data downloader. Basically it pulls 1 minute Kline data from Binance. It’s pretty easy to keep up to date. It works well for managing a local cache for backtesting.
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Best Python libraries for backtesting and algo trading
Hey! Yup, here you go: https://fasttrade.dev. Here's the script I use to do it: https://github.com/jrmeier/fast-trade/blob/master/fast_trade/update_symbol_data.py. I also have a discord with some people that are also doing trading stuff (I’m also building a platform around this stuff). Let me know if you would like an invite!
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Why aren’t there any mainstream algo trading platforms?
I’m working on something that attempts to do what you describe make it easy to signup and implemented a pre-made algo. It’s based on the library I wrote fast-trade. I’m a few weeks away from opening up a beta, but feel free to DM me if you want to check it out.
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How to start developing your own backtester
You can start with fast-trade if you’d like. It’s a pretty simple backtesting engine but you can modify it however you’d like. Full disclosure I made it but I was trying to figure out how to get started as well and this is what I ended up with. Good luck!
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Backtesting tool for python binance
I wrote fast-trade to do exactly that. Funny enough I wrote it for Binance but it works with any Kline data.
- An awesome list about crypto trading bots : find open source crypto trading bots, technical analysis and market data libraries, data providers, APIs, ...
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Looking for active python backtesting framework
I wrote fast-trade, you can use it from the command line or a script. Strategies are in JSON, so it’s easy to iterate.
finta
Posts with mentions or reviews of finta.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-11-17.
- looking for a python lib
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How It's Made! // Building A Crypto Trading Bot Network - A Tutorial (Part 1) // Whew, this was a tough one guys. It took 10x longer to put this together than I imagined. This is an in-depth review of my Bots and their parent system. Please let me know what you think and if I should continue.
Have you thought about using the FinTA package for trading signals and also ratelimit to help with some of those weird things that can pop up with dealing with external APIs
- Yesterday I came across Awesome-Quant repository and it was great. I went ahead and dig through all the backtesting & AI repos from Python and created a list of repo which are most updated & maintained. Let me know if I missed your favorite.
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Important python libraries?
I'm also going to shamelessly plug fast-trade, which is a backtesting library where you write strategies as objects instead of actual code. It's also built on a couple of pretty wonderful libraries including pandas and FinTa, which has a lot of indicators and it's really simple to use.
- Why use ta_lib when you can use FinTA?
What are some alternatives?
When comparing fast-trade and finta you can also consider the following projects:
vectorbt - Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
pandas-ta - Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators
quantstats - Portfolio analytics for quants, written in Python
jesse - An advanced crypto trading bot written in Python
ta-lib-python - Python wrapper for TA-Lib (http://ta-lib.org/).
python-binance - Binance Exchange API python implementation for automated trading
trading-ig - A lightweight Python wrapper for the IG Markets API
backtrader - Python Backtesting library for trading strategies
Lean - Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
backtrader - Python Backtesting library for trading strategies
documentation - This repository contains the documentation for the current Quantiacs project. Check it out at: https://quantiacs.com/documentation/en/