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Quantstats Alternatives
Similar projects and alternatives to quantstats
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fast-trade
low code backtesting library utilizing pandas and technical analysis indicators
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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finta
Discontinued Common financial technical indicators implemented in Pandas.
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Empyrial
AI and data-driven quantitative portfolio management library for portfolio risk and performance analysis 投资组合管理
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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.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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QuantitaveFinanceExamplesPy
Financial analysis, algorithmic trading, portfolio optimization examples with Python (DISCLAIMER - No Investment Advice Provided, YASAL UYARI - Yatırım tavsiyesi değildir).
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FinanceExamplesPy
Discontinued Financial analysis, algorithmic trading, portfolio optimization examples with Python (DISCLAIMER - No Investment Advice Provided, YASAL UYARI - Yatırım tavsiyesi değildir). [Moved to: https://github.com/mrtkp9993/QuantitaveFinanceExamplesPy]
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Wizardry
💫 Wizardry is an open-source CLI for building powerful algorithmic trading strategies 交易框架 (by ssantoshp)
quantstats reviews and mentions
- 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
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A note from our sponsor - SaaSHub
www.saashub.com | 18 Apr 2024
Stats
ranaroussi/quantstats is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of quantstats is Python.