dMLTresearch
quantstats
| dMLTresearch | quantstats | |
|---|---|---|
| 2 | 9 | |
| 30 | 4,293 | |
| - | - | |
| 2.0 | 4.8 | |
| 9 months ago | 19 days ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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dMLTresearch
- I’ve been trading for 3yr on and off I need a good mentor to learn under or a strategy you guys have any suggestions or tips
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What was the final straw that got you into trading forex?
Sure. You can find everything here (this is still in early stages, but I will add more information soon): github.com | dMLTresearch
quantstats
- Quantstats issue with Google Colab
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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?
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Beyond sample reports
https://github.com/ranaroussi/quantstats Many technical metrics for detailed performance
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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
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What are the top Python finance libraries?
Quantstats for generating backtest reports: https://github.com/ranaroussi/quantstats
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Important python libraries?
quantstats to analyze the performance of strategies
What are some alternatives?
Stocker - Financial Web Scraper & Sentiment Classifier
finta - Common financial technical indicators implemented in Pandas.
fwoba - Frequency Weighted OrderBook Analysis
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.
mlfinlab - MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
zipline - Zipline, a Pythonic Algorithmic Trading Library
yt-channels-DS-AI-ML-CS - A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.
fast-trade - low code backtesting library utilizing pandas and technical analysis indicators
qtpylib - QTPyLib, Pythonic Algorithmic Trading
Empyrial - AI and data-driven quantitative portfolio management library for portfolio risk and performance analysis 投资组合管理
alphalens - Performance analysis of predictive (alpha) stock factors
QuantitaveFinanceExamplesPy - Financial analysis, algorithmic trading, portfolio optimization examples with Python (DISCLAIMER - No Investment Advice Provided, YASAL UYARI - Yatırım tavsiyesi değildir).