bcolz
ta-lib-python
bcolz | ta-lib-python | |
---|---|---|
1 | 23 | |
955 | 9,009 | |
- | 1.2% | |
0.0 | 7.3 | |
over 1 year ago | about 2 months ago | |
C | Cython | |
BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
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bcolz
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Recommendation for a Database for analysis
What you need for your use case is a column-oriented store. I recommend explore bcolz or apache arrow for a column file-based systems. These are very fast, support memory mapping, uses compression and SSD speed (and even CPU architecture, in case of arrow) optimally almost out of the box, and has good interfaces to Numpy and Pandas (in case you are using Python for final data consumption and analysis). The columnar structure makes it easy to add or delete a column easily (or even dynamically). If you need a more scalable (albeit at the cost of speed) solution, you can devise a schema over a regular columnar db or an nosql db - see arctic from Man group for an example.
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.
What are some alternatives?
zipline - Zipline, a Pythonic Algorithmic Trading Library
pandas-ta - Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators
Kedro - Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
ta - Technical Analysis Library using Pandas and Numpy
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
finta - Common financial technical indicators implemented in Pandas.
Dask - Parallel computing with task scheduling
Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing
blaze - NumPy and Pandas interface to Big Data
tf-quant-finance - High-performance TensorFlow library for quantitative finance.
NumPy - The fundamental package for scientific computing with Python.
trading-utils - Collection of scripts and utilities for stock market analysis, strategies etc