ta-lib-python
ta
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ta-lib-python | ta | |
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23 | 10 | |
9,009 | 4,036 | |
2.5% | - | |
7.3 | 6.9 | |
about 2 months ago | about 1 month ago | |
Cython | Jupyter Notebook | |
GNU General Public License v3.0 or later | MIT License |
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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.
ta-lib-python
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Why is my RSI coming up incorrect?
One such excellent Python library is TA-Lib. (https://github.com/TA-Lib/ta-lib-python)
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Technical Analysis libraries
Have you looked TA-Lib?
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Crypto Data Bot using Python, Binance WebSockets and PostgreSQL DB
TA-Lib
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Why Economists should embrace Data Science
Dev here. I've wanted to get into doing this for as long as I can remember. Back in 2018 I got a half start at it, pulling in Binance candle data for all intervals with python and then running them all through every TA function of ta-lib to generate corresponding indicators. I intended to take it that next step further into picking up ML, and wanted to write a script that would pair every permutation of indicator looking for combinations that improve certainty for price direction changes (the certainty of BOLL + RSI was going to be used as my baseline for a known semi-reliable combo). I would really love to circle back someday to finishing that up, and then start sucking in candle data from as many markets as I could afford the AWS services for lol. That's my dream dashboard.
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How are these guys doing automated trend analysis like finding falling wedges, bullish pennants or bull flag?
Not sure what they are using specifically, but ta-lib has candle pattern matching.
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Relative Strength in Python; am I coding it right?
Just use TA-Lib https://mrjbq7.github.io/ta-lib/
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looking for a python lib
Doesn't seem like an official mirror but if you're curious what the code looks like, including the python/C bindings, here it is: https://github.com/mrjbq7/ta-lib
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Calculating EMA200 from Binance API?
I use talib https://mrjbq7.github.io/ta-lib/ and it accurately mirrors binance
- Baby python advice
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How to install TA-lib in a linux machine w/o root?
This from a closed issue.
ta
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Basic trading patterns, we should all know 😊
If you know python, you’ll be able to see for yourself. Bukosabino took the time to make dozens of indicators easy to calculate from historical data. Try and find any predictive power from any of these on any remotely liquid ticker
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Technical Momentum
Use the technical analysis python library to compute the technical indicators for that SPX data
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Using Bid/Ask data for technical analysis
The documentation can be found here: https://technical-analysis-library-in-python.readthedocs.io/en/latest/
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Binance technical indicators from kline data
I also use python binance but with bubosabino‘s ta library: https://github.com/bukosabino/ta
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Programmer here - Is there a way to code if price of any pair is touching the 50ma on any timeframe?
There's a Python Technical Analysis module located here: https://github.com/bukosabino/ta
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How do I make a bot know if criteria for a trade is met?
If you are using python, check out https://github.com/bukosabino/ta
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Python Module for technical indicators
I'd recommend you to use TA. I used it to generate lany indicators in the past months. No issues to mention, and it's documentation is rich and kept updated. Repo: https://github.com/bukosabino/ta
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An awesome list about crypto trading bots : find open source crypto trading bots, technical analysis and market data libraries, data providers, APIs, ...
I use https://technical-analysis-library-in-python.readthedocs.io/en/latest/ for my proprietary bot.
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How simple/complex are your successful strategies?
Python with a library that gives you tons of indicators to test (personally, I use this one: https://github.com/bukosabino/ta). Pandas is used but just to set the data, nothing fancy. I don't use Jupyter, I go with the simple IDLE that comes with Python installation but this point doesn't really matter, just go with the most comfortable for you. In the end, this is what I get after a backtest: https://i.ibb.co/pjbZvhv/backtest-sample.png
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Is there a tutorial on how to use the TA-Lib library?
I'm using this one - https://github.com/bukosabino/ta
What are some alternatives?
pandas-ta - Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators
finta - Common financial technical indicators implemented in Pandas.
python-binance - Binance Exchange API python implementation for automated trading
Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing
borb-google-colab-examples - This repository contains some examples of using borb in google colab. These examples enable you to try out the features of borb without installing it on your system. They also ensure the system requirements and imports are all taken care of.
tf-quant-finance - High-performance TensorFlow library for quantitative finance.
ydata-quality - Data Quality assessment with one line of code
trading-utils - Collection of scripts and utilities for stock market analysis, strategies etc
benford_py - Python implementation of Benford's Law tests.
Alpaca-API - The Alpaca API is a developer interface for trading operations and market data reception through the Alpaca platform.
documentation - This repository contains the documentation for the current Quantiacs project. Check it out at: https://quantiacs.com/documentation/en/