Search Results for "financial" - Page 3
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Showing 260 open source projects for "financial"
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Kalshi-Quant-TeleBot
Kalshi Advanced Quantitative Trading Bot is an enterprise-grade
Kalshi Advanced Quantitative Trading Bot is an enterprise-grade automated trading system designed for the Kalshi event-based prediction market. Built with cutting-edge quantitative algorithms and professional risk management, it provides institutional-quality trading capabilities with user-friendly control The Kalshi Advanced Quantitative Trading Bot is a professional-grade automated trading system designed specifically for event-based markets on the Kalshi platform. This bot leverages... -
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KherveSheet
Excel for scientists: high-quality plots, Python in cells, AI side bar
KherveSheet is a desktop spreadsheet application for scientists, built in Python and running on Windows. Plotting Charts are generated using matplotlib and embedded directly in the sheet as movable, resizable objects. You have full control over axes, scales, ticks, titles and grids. Curve fitting and peak fitting are supported, with goodness-of-fit reporting overlaid on the plot. Every cell can also run a full Python program, not just a formula. An integrated AI assistant can generate... -
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Settlement.py
Terminal work-time settlement sheet (4-4-5 calendar).
Settlement Terminal work-time settlement sheet (4-4-5 calendar). Requirements Linux, Python 3.8+, terminal 80×40+ Usage python3 Settlement.py [data_file.json] Features Mouse + keyboard navigation EN/PL language toggle (L) 6 color themes (T) Auto-save to JSON Weeks with data highlighted orange -
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I used Claude.AI to create a cash register for my local senior center to help them balance daily, keep track of prepaid accounts, and building/room reservations. This software is freely distributable, I only ask that if you make changes and distribute, that your version remain free also. This program will automatically attach the End of Day report, Transactions List report, and the drawer balance report to an email to be sent to whoever. Version 4 adds support for a second monitor as a...
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Kotidien
Finances personnelles assistées par ordinateur.
Kotidien est une application dédiée à la gestion de votre argent. Comptes bancaires, cartes de paiements autonomes, et portefeuille d'espèces. Totalement libre et gratuite, elle vous permets de tenir vos comptes d'une main de fer. Écrite en Python 3 et compatible Linux (intégration parfaite sous KDE via l'utilisation de QT 5.12), Microsoft Windows 7 et supérieurs, Mac OS 10.11 et supérieurs. Kotidien vous donne un accès permanent et en temps réel sur vos différents soldes, permets aussi... -
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AutoTrader
A Python-based development platform for automated trading systems
AutoTrader is a Python-based platform—now archived—designed to facilitate the full lifecycle of automated trading systems. It provides tools for backtesting, strategy optimization, visualization, and live trading integration. A feature-rich trading simulator, supporting backtesting and paper trading. The 'virtual broker' allows you to test your strategies in a risk-free, simulated environment before going live. Capable of simulating multiple order types, stop-losse,s and take-profits,... -
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SuperSKU
A Open Source, Free POS (point of sale) system.
MOVED TO https://codeberg.org/Three_Avocados_Development_1/SuperSKU-v1 A Open Source, Free POS (point of sale) system. Licensed under GNU GPL V3 -
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club
Software for small organisations like clubs.
Simplify management of bar, kitchen and memberships of small organisations, that don't need complicated management programs. Made in python, MongoDB is required. Source code: https://github.com/NrtypmForhp/club -
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CostPal
CostPal is your personal finance manager
CostPal is an application for managing your expenses, incomes and other events. CostPal is free, open-source and written in python. The current version supports only Windows, comes as portable package and was tested on Windows7 (64bit) and WindowsXP (32bit). This application is distributed under GNU GPL version 2 license. CostPal Mobile is an additional application for your smartphone to interoperate with CostPal on your PC (currently available only for Android OS). With it's smooth... -
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AnyTrading
The most simple, flexible, and comprehensive OpenAI Gym trading
gym-anytrading is an OpenAI Gym-compatible environment designed for developing and testing reinforcement learning algorithms on trading strategies. It simulates trading environments for financial markets, including stocks and forex. -
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TradingGym
Trading backtesting environment for training reinforcement learning
TradingGym is a toolkit (in Python) for creating trading and backtesting environments, especially for reinforcement learning agents, but also for simpler rule-based algorithms. It follows a design inspired by OpenAI Gym, offering various environments, data formats (tick data and OHLC), and tools to simulate trading with costs, position limits, observation windows etc. Licensed under MIT. This training environment was originally designed for tickdata, but also supports OHLC data format. WIP.... -
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Robin-Stocks API Library
This is a library to use with Robinhood Financial App
This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real-time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. The code is simple to use, easy to understand, and easy to modify. With this library, you can view information on stocks, options, and cryptocurrencies in real-time, create your own robo-investor or trading algorithm, and improve your programming skills. ... -
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TradeMaster
TradeMaster is an open-source platform for quantitative trading
TradeMaster is a first-of-its-kind, best-in-class open-source platform for quantitative trading (QT) empowered by reinforcement learning (RL), which covers the full pipeline for the design, implementation, evaluation and deployment of RL-based algorithms. TradeMaster is composed of 6 key modules: 1) multi-modality market data of different financial assets at multiple granularities; 2) whole data preprocessing pipeline; 3) a series of high-fidelity data-driven market simulators for mainstream QT tasks; 4) efficient implementations of over 13 novel RL-based trading algorithms; 5) systematic evaluation toolkits with 6 axes and 17 measures; 6) different interfaces for interdisciplinary users. -
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FormaVid
Small Business Appliance
The FormaVid Small Business Appliance https://formavid.org is designed to integrate a content management system (CMS), an issues tracker and an invoicing application into a single, well constructed, offering. It is an excellent starting point for any developer(s) wishing to support the CMS or any of the other components, including the appliance itself. All components are stable, open source and well supported. The appliance is built using scripts so no hidden "monkey business" and you can... -
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OpenOffice.org Utility Library
Library modules for creating ODF documents.
OpenOffice.org Utility Library modules for creating Open Document Format (ODF) documents which can be read by Office Suites including OpenOffice.org, LibreOffice.org, and Microsoft Office. Currently, ooolib-python can create Calc spreadsheet ODS documents. These documents include many features including: - Create multiple table spreadsheets - Cells with text, numbers, dates, formulas - Ability to use built-in styles - Ability to create automatic styles (ie. bold, italics,... -
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Haircut_EQ
Fetches the historical Haircut data (%) of Equities and Gold Bonds
Haircut is the amount of margin money deducted while pledging the Equites/ Mutual Funds / Bonds for trading. A haircut value of 13% means that, if a share worth of Rs 100 is pledged for trading, then Rs. 13 will be deducted and Rs. 87 will be given as collateral margin for trading. It is based on previous closing price. This program is used to identify the real value of a share with date. It fetches the historical Haircut data (%) and Price of an equity listed in NSE, India at a... -
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CapitalGainsCalc
Converts simple lists of lots and sales into a TXF file
US Tax Forms (1040 Schedule D and 8949 supplemental forms) require that every capital gains sale is listed by line, even if no cost basis or even a 1099-B has been provided to the IRS. Entering this data into tax software like TurboTax is tedious and error prone. Some institutions provide limited export capabilities such as CSV or excel export but this is not easy to translate into tax preparation software. These python scripts convert two simple to generate input files BuyLots.csv and... -
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Deep learning time series forecasting
Deep learning PyTorch library for time series forecasting
Example image Flow Forecast (FF) is an open-source deep learning for time series forecasting framework. It provides all the latest state-of-the-art models (transformers, attention models, GRUs) and cutting-edge concepts with easy-to-understand interpretability metrics, cloud provider integration, and model serving capabilities. Flow Forecast was the first time series framework to feature support for transformer-based models and remains the only true end-to-end deep learning for time series... -
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Arrear_Pension_Calculator
Simple app for calculating arrear pension amount of a given period.
A simple Arrear Pension Calculator app written in python with GUI specifically Govt. employees (Central & State). This application calculates arrear (Due - Drawn) / overdrawn / recovery of pension between any given periods. This app is not associated with the Govt. This app is for informational purpose only. This project is open source under GNU public license v3.0 -
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INVESTOCK - Analyze Indian shares
Back test, analyze, rate of return of Indian shares for 20+ years.
Analyze, winning percentage, back test and estimate the maximum rate of return from the historical prices of an equity stock listed in NSE, India between any two selected dates for more than 20 years. INVESTOCK program is used to get the historical prices of an Indian share listed in National Stock Exchange( NSE), India between any two selected dates. All the shares listed in National Stock Exchange (NSE), India can be analyzed. Interactive graphs will be displayed for the... -
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Fryktelig fin faktura
Create, review and administer norwegian invoices.
Create, review and administer invoices for use in Norway, and print on the F60 faktura form or send by email as PDF. «Fryktelig Fin Faktura» er et fakturaprogram for norske forhold. Fakturaene lages på PDF eller skjema F60. Dersom du kan hjelpe til, er vi åpne for flere utviklere. Releases are signed with this GnuPG/PGP key fingerprint: «7F09 D1F8 1C3E 1758 4AC9 C61A 4F5A D64D FA68 7324» -
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TA-Lib.git: Technical Analysis Library
Mirror of the TA-Lib project using a Git repository
This project is intended to provide Git access to the code of the original project, TA-Lib, which uses Subversion. It is intended for system integrators wishing to use TA-Lib in their Git-managed project through Git submodules or subtrees. No actual development is being done here; all development happens in the original project. -
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Zipline
Zipline, a Pythonic algorithmic trading library
Zipline is a Pythonic algorithmic trading library. It is an event-driven system for backtesting. Zipline is currently used in production as the backtesting and live-trading engine powering Quantopian -- a free, community-centered, hosted platform for building and executing trading strategies. Quantopian also offers a fully managed service for professionals that includes Zipline, Alphalens, Pyfolio, FactSet data, and more. Installing Zipline is slightly more involved than the average Python... -
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AlphaPy
Python AutoML for Trading Systems and Sports Betting
AlphaPy is a Python-based AutoML framework tailored for trading systems and sports betting applications. Built on popular libraries like scikit-learn and pandas, it enables data scientists and speculators to craft predictive models, ensemble strategies, and automated forecasting systems with minimal setup. Run machine learning models using scikit-learn, Keras, xgboost, LightGBM, and CatBoost. Generate blended or stacked ensembles. Create models for analyzing the markets with MarketFlow.... -
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abu
Abu quantitative trading system (stocks, options, futures, bitcoin)
Abu Quantitative Integrated AI Big Data System, K-Line Pattern System, Classic Indicator System, Trend Analysis System, Time Series Dimension System, Statistical Probability System, and Traditional Moving Average System conduct in-depth quantitative analysis of investment varieties, completely crossing the user's complex code quantification stage, more suitable for ordinary people to use, towards the era of vectorization 2.0. The above system combines hundreds of seed quantitative models, such as financial time series loss model, deep pattern quality assessment model, long and short pattern combination evaluation model, long pattern stop-loss strategy model, short pattern covering strategy model, big data K-line pattern Historical portfolio fitting model, trading position mentality model, dopamine quantification model, inertial residual resistance support model, long-short swap revenge probability model, strong and weak confrontation model, trend angle change rate model, etc.