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Top 23 Jupyter Notebook Finance Projects
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awesome-quant
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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FinGPT
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
Project mention: About FinGPT: Open-Source Financial Large Language Models | news.ycombinator.com | 2024-08-28 -
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Project mention: JPMorgan's Python training for business analysts and traders | news.ycombinator.com | 2024-08-29
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PyPortfolioOpt
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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FinancePy
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
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TradeMaster
TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow:
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fecon235
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
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fin-ml
This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star.
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AlgorithmicTrading
This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with Optiver and have been peer-reviewed by staff members of Optiver.
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stock-prediction-deep-neural-learning
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
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alpha-mind
quantitative security portfolio analysis. The analysis pipeline including data storage abstraction, alpha calculation, ML based alpha combining and portfolio calculation.
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SaaSHub
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Jupyter Notebook Finance discussion
Jupyter Notebook Finance related posts
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About FinGPT: Open-Source Financial Large Language Models
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GPT-4, without specialized training, beat a GPT-3.5 class model that cost $10B
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Buffett once bet $1M that he could beat a group of hedge funds over 10 years
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FinGPT
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Performance Analysis: Performance analysis of predictive (alpha) stock factors. Factor and Risk Analysis - star count:2892.0
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TradeMaster: NEW Deep Learning And Reinforcement Learning - star count:910.0
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Performance Analysis: Performance analysis of predictive (alpha) stock factors. Factor and Risk Analysis - star count:2892.0
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Index
What are some of the best open-source Finance projects in Jupyter Notebook? This list will help you:
# | Project | Stars |
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1 | awesome-quant | 20,574 |
2 | FinGPT | 16,189 |
3 | machine-learning-for-trading | 14,882 |
4 | FinRL | 11,749 |
5 | python-training | 9,251 |
6 | pyfolio | 5,869 |
7 | PyPortfolioOpt | 4,946 |
8 | alphalens | 3,681 |
9 | FinancePy | 2,397 |
10 | FinMind | 2,203 |
11 | TradeMaster | 1,860 |
12 | fecon235 | 1,210 |
13 | fin-ml | 1,033 |
14 | FinanceOps | 995 |
15 | AlgorithmicTrading | 941 |
16 | resistance | 611 |
17 | stock-prediction-deep-neural-learning | 594 |
18 | deltapy | 543 |
19 | lppls | 403 |
20 | simfin-tutorials | 276 |
21 | alpha-mind | 230 |
22 | okama | 227 |
23 | compendium | 205 |