quantstats
mplcyberpunk
| quantstats | mplcyberpunk | |
|---|---|---|
| 9 | 3 | |
| 4,293 | 1,612 | |
| - | - | |
| 4.8 | 4.3 | |
| 19 days ago | 3 months ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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.
quantstats
- Quantstats issue with Google Colab
-
Excel (or other) summary stats for algo performance?
IMO can’t do better than QuantStats https://github.com/ranaroussi/quantstats
- QuantStats: Portfolio Analytics for Quants
- Backtesting Results
- Python: which are good modules for strategy evaluation?
-
Beyond sample reports
https://github.com/ranaroussi/quantstats Many technical metrics for detailed performance
-
successful bots easy
I have a bot that does 100x in 3 years. But it is only 60 % accurate. You don't need high accuracy. In the end what counts is cumulative returns when you include trading costs (even if zero fees you still have slippage). Sharpe, Sortino, daily returns, drawdowns you have to look at all these measures. Use this and it does a pretty in depth report of your trading strategy. https://github.com/ranaroussi/quantstats
-
What are the top Python finance libraries?
Quantstats for generating backtest reports: https://github.com/ranaroussi/quantstats
-
Important python libraries?
quantstats to analyze the performance of strategies
mplcyberpunk
-
More Data Analysis!
Additionally, using https://github.com/dhaitz/mplcyberpunk is the way. You can change it to your preferences in the library file to look like this (message me for my fork)
- $SPY(blue) and $QQQ(pink) Daily Percentage Returns since 1999
-
[OC] /r/truerateme vs /r/rateme
Yea this color scheme is really awesome, I wish it could support the glow effect for pie, bar plots, or text. Here is a link for it.
What are some alternatives?
finta - Common financial technical indicators implemented in Pandas.
matplotlib - matplotlib: plotting with Python
Portfolio-Report-Generator - A program which allows the user to enter positions and their allocation to get return metrics and data on the underlying positions.
seaborn-image - High-level API for attractive and descriptive image visualization in Python
zipline - Zipline, a Pythonic Algorithmic Trading Library
reddit-attractiveness-dataset
fast-trade - low code backtesting library utilizing pandas and technical analysis indicators
scientific-visualization-book - An open access book on scientific visualization using python and matplotlib
qtpylib - QTPyLib, Pythonic Algorithmic Trading
dufte - :chart_with_upwards_trend: Minimalistic Matplotlib style
Empyrial - AI and data-driven quantitative portfolio management library for portfolio risk and performance analysis 投资组合管理
aquarel - Styling matplotlib made easy