Intraday-stock-prices
tidyquant
| Intraday-stock-prices | tidyquant | |
|---|---|---|
| 3 | 2 | |
| 8 | 831 | |
| - | -0.1% | |
| 0.0 | 7.5 | |
| over 3 years ago | 8 days ago | |
| Python | R | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
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.
Intraday-stock-prices
tidyquant
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How do i fix this error message?
i looked up ur error and found this check if there is a package u need to update
- 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.
What are some alternatives?
FX-1-Minute-Data - HISTDATA - Dataset composed of all FX trading pairs / Crude Oil / Stock Indexes. Simple API to retrieve 1 Minute data (and tick data) Historical FX Prices (up to date).
finta - Common financial technical indicators implemented in Pandas.
trendet - :chart_with_upwards_trend: Python package for trend detection on stock time series data :chart_with_downwards_trend:
alpha_vantage - A python wrapper for Alpha Vantage API for financial data.
surpriver - Find big moving stocks before they move using machine learning and anomaly detection
Lean - Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
backtesting.py - :mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
tidyquery - Query R data frames with SQL
RdplyrSelects
Econometrics-on-Stock-Data - R finance guide - Algotrading101
tidylog - Tidylog provides feedback about dplyr and tidyr operations. It provides wrapper functions for the most common functions, such as filter, mutate, select, and group_by, and provides detailed output for joins.