stock-bot
pandas-ta
| stock-bot | pandas-ta | |
|---|---|---|
| 3 | 17 | |
| 284 | 4,756 | |
| - | - | |
| 0.0 | 0.0 | |
| about 3 years ago | 9 days ago | |
| Python | Python | |
| GNU Affero General Public License v3.0 | MIT License |
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stock-bot
pandas-ta
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Help recreating ta-lib python MACDFIX in pure python
I do not know what is the difference between MACD and MACDFIX but maybe you can take a look how MACD is implemented in pandas_ta library and modify it a bit to achive a behavior you want.
- How to detect price action?
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API for indicators
I use https://github.com/twopirllc/pandas-ta found some indicators that are in the pandas_ta but not in the tulip library though tulip also has thing pandas doesn't have.
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Add attribute to Pandas dataframe to create new column
Having a look at ta.rsi it looks like it is calculating the value for rsi and returns it.
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How does Python or Python handle projects that access use multiple repo's
I feel like this is more of a devops issue but its all local, the `local_cron_job` runs at 11pm each night to update `mcvaluations` which then activates 'PandasTA_Strategy_Examples.ipynb' then `VectorBT_Backtest_with_Pandas_TA.ipynb' then 'backorder.py` and finally `strategy`
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Predição de ações na bolsa de valores com Python e Facebook Prophet
Pandas T.A: Biblioteca Pandas para análise técnica.
- Pandas TA?
- GitHub - twopirllc/pandas-ta: Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators
- Pandas TA – A Technical Analysis Library in Python 3
- Pandas-TA: Over A Hundred Technical Analysis Indicators For Python
What are some alternatives?
ta - Technical Analysis Library using Pandas and Numpy
ta-lib-python - Python wrapper for TA-Lib (http://ta-lib.org/).
RSI-divergence-detector - RSI divergence detector finds regular and hidden bullish and bearish divergences
finta - Common financial technical indicators implemented in Pandas.
node-talib - A technical analysis library for node.js
py-market-profile - A library to calculate Market Profile (aka Volume Profile) for financial data from a Pandas DataFrame.
fundamental-analysis - Screen stocks on fundamentals and estimate their intrinsic value
tuneta - Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models
static-frame - Immutable and statically-typeable DataFrames with runtime type and data validation
nepse-api - NEPSE API wrapper fetches the data from Nepali Stock Site and provides them in a pythonic and usable way.
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
Stock-Market-Prediction - This project aims to predict future values on the stock market for a stock using projections with facebook prophet.