Search Results for "algorithms"
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Showing 36 open source projects for "algorithms"
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AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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AI Hedge Fund
An AI Hedge Fund Team
...It integrates financial data collection, preprocessing, feature engineering, and predictive modeling to simulate decision-making in trading. The code shows workflows for pulling stock or market data, applying machine learning algorithms to forecast trends, and generating buy/sell/hold signals based on the predictions. Its structure is educational: intended more as a proof-of-concept than a ready-to-use financial product, giving learners insight into the mechanics of quantitative finance automation. The project underlines AI’s potential in investment strategies but also carries disclaimers that it is for research and not financial advice. ... -
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Hyperswitch
An open source financial switch to make payments fast
...Connect with multiple payment processors with a single API to improve payment conversions, and reduce costs and ops. Unified API with enterprise-grade scale & reliability. Achieve your goals with custom and smart routing algorithms. Cross-platform, native, seamless payment experience. Instantly integrate new payment options with the least dev efforts. Elaborate reporting, analytics, and customization. All your compliance and security are taken care of. -
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Barter
Open-source Rust framework for building event-driven systems
Barter is an open-source, Rust-based ecosystem of libraries for building high-performance, event-driven algorithmic trading systems—covering live trading, paper trading, and backtesting. It is designed for safety, speed, and flexibility in quantitative finance workflows. Use mock MarketStream or Execution components to enable back-testing on a near-identical trading system as live-trading. Centralised cache-friendly state management system with O(1) constant lookups using indexed data... -
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FinRobot
An Open-Source AI Agent Platform for Financial Analysis using LLMs
...It provides developers and quants with structured modules to fetch market data, process time series, generate technical indicators, and construct features appropriate for machine learning models, while also supporting backtesting and evaluation metrics to measure strategy performance. Built with modularity in mind, FinRobot allows users to plug in custom models — from classical algorithms to deep learning architectures — and orchestrate components in pipelines that can run reproducibly across experiments. The framework also tends to include automation layers for deployment, enabling trained models to operate in live or simulated environments with scheduled re-training and risk controls in place. -
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OHLC Gen
A software that generates synthetic data on various commodities
This project is a free software that allows you to generate synthetic data that mimics real data to test the success of financial algorithms. You can generate data for various financial instruments such as cryptocurrencies, stocks, forex and precious metals in 1 minute, 15 minutes, 1 hour and 1 day periods. The software offers three data options: “Raw Data” (raw OHLC data), “Normalized Data” (normalized structure) and “Synthetic Data” (synthetic data suitable for real price characteristics). ... -
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Reactorcore's Revshare System
Ultimate Zero-Budget Revshare Solution for Indie Teams
...It provides everything needed to fairly compensate contributors in zero-budget collaborative projects. KEY FEATURES: • Smart Payout Calculator - Automated tier-based revenue splits with self-balancing fairness algorithms • Team Management - Track contributors, assign tiers, manage payment info, export credits lists • History & Reports - Complete payout timeline with statistics, export reports as Markdown or CSV • 15 Comprehensive Guides - Covering team infrastructure, recruiting, marketing, business models, IP law, and collaboration culture Web App: https://rc-revshare-system.reactorcoregames.workers.dev/ Source Code: https://github.com/ReactorcoreGames/Reactorcores-Revshare-System -
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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. The list contains the feature columns to use in the trading status. -
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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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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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PandoraTrader
C++ Trade Platform for quant developer
PandoraTrader is a high-frequency quantitative trading platform implemented in C++. It interfaces with real-world futures trading desks using Trade APIs and MarketData APIs and includes support for backtesting via simulated market components. We design such a trading platform with various skills given by the designer, but we do not carry wisdom; this wisdom belongs to the strategy designer. We hope that the strategy designer will design excellent strategies to give the trading software... -
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oj! Algorithms
Mathematics, linear algebra and optimisation
oj! Algorithms - ojAlgo - is Open Source Java code that has to do with mathematics, linear algebra and optimisation; particularly (but certainly not exclusively) suitable for the financial domain. -
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iTelliHashExcel
Cryptographic Hashing Application for Excel Files
iTelliHashExcel is a cryptographic “one-way” hashing application designed to securely protect sensitive or private information from disclosure. Proper use of this program allows organizations, businesses, and individuals (i.e., the data owners) to share complete/intact datasets containing sensitive data with others without actually disclosing the sensitive or private information. Additionally, if such datasets are subsequently modified or enhanced through value-added services or products... -
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LEAN
Lean algorithmic trading engine by QuantConnect
Automated accounting for splits, dividends, and corporate events like delistings and mergers. Avoid selection bias with dynamically generated assets. Create and select asset universes on proprietary data and indicators. Automatically track portfolio performance, profit and loss, and holdings across multiple asset classes and margin models in the same strategy. Trigger regular functions to occur at desired times, during market hours, on certain days of the week, or at specific times of day.... -
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Excel file analysis toolkit
Lays out dependencies (links) between Excel files in a visual graph
...It shows which files might be outdated because they reference a file which was modified more recently. The graph is dynamic, you can choose between different layout algorithms and rearrange by hand. Allows you to quickly open the file, dump the graph, dump all links within a file, highlight all the cells that reference other excel files. This tool was intended for internal use but made available here on SF. Time for support is limited -
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Savvy Repair for Microsoft Office
Repairs/Recovers Corrupt MS Office 2007 - 2013 Format Files
DOCX, XLSX and PPTX files are collections of conventionally zipped mostly XML sub-files. This program first attempts repair any zip based corruption. From there it engages in four different algorithmic attempts at repair or recovery. With the first method using validation, the location of the first XML error is sought. At that point the sub-files are truncated and repaired. The second method works the same way except the XML validation is more lax. With the third, the strict XML... -
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Bat2015
Bachelor of Science (Informatik)
The toolkit glpk supports methods for mixed integer linear programming (MILP). These methods solve Capital Budgeting Problems (CBP). Unfortunately, glpk does not support any multithreading and there is no feature to distribute problems via network connections. Today, this is a pitiable sight, because modern computer systems are coupled by networks and support multi threading. We create a distributed system with Apache thrift and the C-API of glpk. Now, it is possible to use as many cores in... -
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Corrupt Extractor for Microsoft Office
Extracts text/data from corrupt MS Office 2007-13 format files.
...Advanced mode also allows recovering images and includes is a basic editor for editing the corrupt XML subfiles. Additionally I recommend trying some of my other programs on Sourceforge which help with corrupt office files using different algorithms than this present program: Savvy DOCX Recovery, S2 Recovery Tools for Word, Corrupt XLSX Salvager, S2 Recovery Tools for Excel and Corrupt PPTX Salvager. Also take a look at these free corrupt Word repair programs: http://wordcorruptdocchecker.codeplex.com/ and https://support.microsoft.com/en-us/kb/2528942 (featuring a Microsoft Mr. ... -
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Cenobi
cost estimation and management accounting, using neural networks
...Carefully arranged default settings make sure you can concentrate on Cenobi's many accounting features rather than worrying about setting up artificial neural networks or genetic algorithms, which are the main machine learning tools under Cenobi's hood. Cenobi's main benefits are: - ease of use - Utilizing artificial neural networks to estimate cost relationships, Cenobi is able to reflect the non-linear cost-behavior, that occurs in most business processes. - This makes your cost estimations more accurate and reliable... -
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Technical analysis library with indicators like ADX, MACD, RSI, Stochastic, TRIX... includes also candlestick pattern recognition. Useful for trading application developpers using either Excel, .NET, Mono, Java, Perl or C/C++.
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ChecksumValidation
Validation of IBANs, bank accounts, credit cards, identity cards
...Validation is performed by computing checksums. Checksums for german bank accounts are maintained and documented by www.bundesbank.de. In sum, ChecksumValidation implements round about 150 algorithms. It may freely be used under GNU GPLv3 licence (see below). ChecksumValidation is implemented in Microsoft .NET 2.0. It consists of: - ChecksumValidation: a class library (DLL) for in-process use - ChecksumSoapServer: a SOAP interface - ChecksumTcpServer: a TCP interface implementing a domain-specific language (DSL) for validation - ChecksumComServer: a COM interface - ChecksumClient: a test utility - ChecksumUnitTest: a 100% covering NUnit test - ChecksumUtility: a command-line tool for helper functions -
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Various quantitative finance algorithms in areas related to asset allocation and portfolio simulation. Includes Black-Litterman model, State/Preferencem Interior points, and Active Set quadratic optimization.
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A suite of libraries and applications using genetic algorithms and AI for financial analysis and simulation. Currently the focus is to route FIX messages to an exchange simulator and use genetic algorithms to explore algorithmic trading strategies.
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