Search Results for "python finance" - Page 3
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Showing 90 open source projects for "python finance"
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PyArmadillo
linear algebra library for Python
PyArmadillo - streamlined linear algebra library for Python, with emphasis on ease of use. Alternative to NumPy / SciPy. * Main page: https://pyarma.sourceforge.io * Documentation: https://pyarma.sourceforge.io/docs.html * Bug reports: https://pyarma.sourceforge.io/faq.html * Git repo: https://gitlab.com/jason-rumengan/pyarma -
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PaddlePaddle models
Pre-trained and Reproduced Deep Learning Models
Pre-trained and Reproduced Deep Learning Models ("Flying Paddle" official model library, including a variety of academic frontier and industrial scene verification of deep learning models) Flying Paddle's industrial-level model library includes a large number of mainstream models that have been polished by industrial practice for a long time and models that have won championships in international competitions; it provides many scenarios for semantic understanding, image classification,... -
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Eiten
Statistical and Algorithmic Investing Strategies for Everyone
...It is part of the broader Tradytics ecosystem, which emphasizes AI-driven financial tools for identifying opportunities in the stock market. The repository serves both as a learning resource and as a practical toolkit for traders and developers interested in quantitative finance. It encourages experimentation with different strategies and models, allowing users to adapt techniques to their own trading goals. -
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surpriver
Find big moving stocks before they move using machine learning
surpriver is a machine learning project designed to identify unusual stock market activity that may precede large price movements. The system analyzes historical stock price and volume data to detect anomalies that could indicate potential trading opportunities. By applying machine learning techniques to market indicators, the tool attempts to identify patterns in trading behavior that deviate significantly from normal market activity. These anomalies are interpreted as signals that a stock... -
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Quantitative-Notebooks
Educational notebooks on quantitative finance, algorithmic trading
Quantitative-Notebooks is a curated set of Jupyter notebooks focused on quantitative finance, algorithmic investing, and data-driven portfolio analysis. While each individual notebook is aimed at practical finance workflows, the overall repository helps practitioners and learners use Python, pandas, and numerical libraries to build, test, and evaluate financial strategies using historical market data. The notebooks typically showcase how to perform backtesting, factor analysis, risk assessment, and other quantitative workflows in a reproducible, exploratory format. ... -
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RL-Stock
Automated stock trading through a simulated training environment
RL-Stock is a reinforcement learning project that explores automated stock trading through a simulated training environment. It is written as an educational experiment rather than a financial product or investment recommendation system. The project includes scripts for collecting stock data, defining a reinforcement learning environment, training an agent, and visualizing results. It focuses on how an agent can learn trading-like behavior through rewards, states, and actions. The repository... -
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TF Quant Finance
High-performance TensorFlow library for quantitative finance
TF Quant Finance is a high-performance library of quantitative finance components built on TensorFlow, aimed at research and production workloads. It implements pricing engines, risk measures, stochastic models, optimizers, and random number generators that are differentiable and vectorized for accelerators. Users can value options and fixed-income instruments, simulate paths, fit curves, and calibrate models while leveraging TensorFlow’s jit compilation and automatic differentiation. The... -
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AIAlpha
Use unsupervised and supervised learning to predict stocks
AIAlpha is a machine learning project focused on building predictive models for financial markets and algorithmic trading strategies. The repository explores how artificial intelligence techniques can analyze historical financial data and generate predictions about asset price movements. It provides a research-oriented environment where users can experiment with data processing pipelines, model training workflows, and quantitative trading strategies. The project typically involves collecting... -
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fooltrader
Quant framework for stock
Build a standard data schema, and then implement various connectors to import systems you are familiar with for analysis. fooltrader is a quantitative analysis trading system designed using big data technology, including data capture, cleaning, structuring, calculation, display, backtesting and trading. Its goal is to provide a unified framework for the whole market (stock, futures, bonds, foreign exchange, digital currency, macroeconomics, etc.) for research, backtesting, forecasting, and... -
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Cloud Export is a tool to automatically extract your data from web applications and save it to your local file system for backup purposes, but more extensive than Google Takeout. Plans are based on http://www.dataliberation.org.
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myCStock
An other free stock market software in C++/Python
A parser for real-time update of stock market prices and a graphical interface with technical indicators. It is a small personal project initiated for extending my knowledge in C++ and Python, designing a GUI and, in a next stage, applying mathematical and statistical models to stock market prices analysis and prediction. If you have the same interest than I in experimenting and disussing design software and statistical models in finance, you are welcome to join the project. If you are searching for a stable and complete software, you may come back later on... ... -
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Turn your scanner into a free document reader for invoices (e.g. for e-banking) with the help of tesseract-ocr available for many unix (and also windows) platforms.
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This project will encapsulate python routines for pricing derivatives and retrieving market data. It will also include user level tools and examples (such that openoffice Black-Scholes add-ins and spreadsheets) build around the python core modules.
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Capital Market Tools
Portfolio Management System built with only open source tools
Portfolio Management System built with only open source tools. It's not clear yet what it will involve into but for now you can price and manage equity, bond and swap securities with a rigorous QuantLib pricing library. The system has a browser front-end and a MySQL back-end and is hosted at www.capitalmarkettools.org. -
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math toolkit
A C++ and Python library for finance, statistics and linear algebra.
A lightweight C++ and Python library for finance, statistics and linear algebra. Finance features include compound rate present/future value, annuity, various present/future value coefficients ... Statistics features include mean, median, variance, standard deviation, covariance, correlation, linear regression, probabilities and random variates of various distributions ... -
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A double-entry personal finance program with a clear, easy to understand web-based UI and a high degree of flexibility.
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A cross-platform personal finance application written in python that can be accessed from a web browser on your desktop.
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Budse is a simple budgeting tool that implements bucket (or envelope) budgeting. Currently there is a Command Line Interface (CLI) with a Graphical User Interface in progress. The program includes extras such as transaction searching and reports.
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Magot is a cross-platform personal finance manager written in Python. A check-book like register GUI allows you to enter transactions and track bank accounts, incomes and expenses. It's based on formal accounting principles, PEAK and WxPython.
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Frugal is a simple yet powerful personal finance and stock portfolio management application. It provides quick on-line stock quote and currency rate updates and easy to understand graphical and textual views of your financial situation.
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The Zahlemann site used to be the home of the Zahlemann project (which currently sleeps). Now I use it for different little tools I write. See project home page (http://zahlemann.sourceforge.net) for more information.
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The goal of this project is to provide a convenient tool for optimally choosing your Verizon Wireless "Friends and Family" contacts to save money on your monthly bill! V-optimize is a console program for any Windows or Linux platform.
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Snidget is a python program which tracks your financial information, in particular your expenses and income. The user adds each transaction on their accounts and snidget can provide reports about how much you're spending. Includes both CLI and GUI.
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Cashderivatives.org Pricing Calculator (CDPC) is a calculator for financial instruments. The project is now discontinued. The project had reached alpha development status, when it was decided to not continue with the project.
