Projects sharing features with Krypto Trading Bot

Jesse is a Python algorithmic trading framework used for developing, backtesting, and executing quantitative trading strategies. It functions as a trading strategy backtester and a machine learning trading platform, providing an environment to train predictive models on historical market data and deploy them into live strategies. The framework features a standardized crypto exchange connectivity layer that allows for the execution of automated spot and futures trades across multiple cryptocurrency exchanges via an exchange-agnostic interface. It includes a quantitative risk analysis toolset t

This project provides technical documentation and reference guides for spot trading, including specifications for REST, WebSocket, and FIX protocols. It serves as a comprehensive resource for integrating with spot trading endpoints to execute trades, query account data, and fetch market statistics. The project distinguishes itself by supporting institutional-grade connectivity through the Financial Information eXchange standard and simple binary encoding to reduce latency and payload size. It also includes a dedicated sandbox environment for validating trading logic and strategies without fin

Kungfu is a high-performance quantitative trading framework and algorithmic execution engine. It provides a development kit for writing trading logic and a dedicated in-memory financial time-series database for recording and analyzing tick-by-tick market data with high temporal accuracy. The system integrates a market gateway layer to interface with stock and futures exchange protocols, enabling the routing of orders and receipt of price updates. It features a trading operations interface that allows for the management of strategies in both manual and automated headless modes. The framework

This project is a Python wrapper for the Lightweight Charts library, designed to render interactive, browser-based financial visualizations. It serves as a framework for building custom financial dashboards and interfaces that integrate live market feeds and historical data series. The library enables the construction of complex layouts by combining multi-pane charts, watchlists, and order entry tables into a single unified workspace. It supports real-time market monitoring by streaming live tick or bar data directly into active visualizations, allowing for incremental updates without requiri

quant-wiki is a comprehensive knowledge base and structured reference for quantitative finance, financial engineering, and algorithmic trading. It serves as a centralized library of documentation covering mathematical models, financial instruments, and systematic trading strategies. The project integrates AI-driven capabilities through a modular retrieval-augmented generation framework that extracts structured data from research papers and news. It features a multi-agent workflow engine designed to discover and validate predictive alpha factors, alongside tools for local large language model

LLM-Trading-Lab is a trading framework designed to execute equity trades and manage portfolios using large language models while adhering to strict investment constraints. The system distinguishes itself by integrating an algorithmic trading auditor that logs the reasoning behind model-driven decisions for retrospective analysis. It also includes a quantitative research reporter that transforms experimental results into portable reports and weekly summaries for long-term archiving. The framework covers several core functional areas, including automated risk management to enforce stop-loss ac

Quantaxis is a quantitative trading framework designed for building, backtesting, and executing automated strategies across global equities, futures, and cryptocurrencies. It integrates an event-driven backtesting engine, a multi-market execution gateway for order routing, and a quantitative data pipeline for ingesting and storing multi-asset market data. The system features a Rust-accelerated financial library that utilizes Apache Arrow for high-performance technical indicator calculation and zero-copy data processing. It provides a containerized infrastructure model designed for orchestrati

Sui is a blockchain platform featuring an object-centric state model and resource-oriented smart contracts. It utilizes parallel transaction execution to increase network throughput and supports programmable transaction blocks that bundle multiple operations into single atomic units. The platform distinguishes itself with a capability-based access control system and zero-knowledge login mechanisms, enabling users to authenticate via identity providers without seed phrases. It also implements deterministic object addressing to allow predictable state lookups and supports the creation of soulbo

QuantMuse is an algorithmic trading platform and quantitative trading framework that integrates large language models with mathematical analysis to automate market insights and trading strategies. It functions as a system for building, backtesting, and executing strategies using both historical and real-time market data. The framework is distinguished by its use of large language models for financial analysis and sentiment extraction from news and social media. It utilizes autonomous agents with chain-of-thought reasoning to generate market intelligence and strategic reports, while employing

This project is an automated cryptocurrency trading platform and server-side framework designed for executing trades and managing digital asset portfolios. It provides a unified environment for running algorithmic strategies across multiple exchanges, allowing for the automated placement of buy and sell orders without manual intervention. The system distinguishes itself through a modular plugin architecture that separates trading logic from core execution, enabling users to customize or swap algorithms as needed. It utilizes an event-driven execution loop that processes real-time market data

Hummingbot is an open-source framework designed for building, backtesting, and deploying autonomous trading agents and algorithmic strategies across centralized and decentralized cryptocurrency exchanges. It provides a modular environment where users can orchestrate containerized bots to execute complex market-making, grid trading, and arbitrage operations. The platform distinguishes itself through a skill-based architecture that integrates large language models, enabling users to monitor market conditions and control trading operations via natural language commands. It features a unified con

This project is a quantitative trading platform and algorithmic trading bot designed for market data aggregation, strategy backtesting, and trade execution. It functions as a comprehensive system for collecting financial data via APIs and web sources, simulating investment strategies against historical records, and programmatically managing investment positions through brokerage interfaces. The platform distinguishes itself through institutional sentiment analysis and market intelligence tools. It monitors institutional fund activity, tracks corporate actions like equity pledges, and crawls f

Heyform is an open-source form builder and self-hosted data collection platform. It provides a no-code designer for creating dynamic web-based surveys and input forms, supported by an extensible backend for managing submissions and storing results in a private database. The system distinguishes itself through advanced form logic and branding controls. It includes a conditional logic engine to show or hide sections based on user responses and allows for precise visual identity customization through configurable themes and custom CSS injection. The platform covers a broad range of operational

Zero is an email automation and link management platform designed for self-hosted infrastructure. It functions as an intelligent system that categorizes, prioritizes, and responds to incoming email communications using autonomous agents, while synchronizing message history into local storage for efficient data processing. The platform distinguishes itself by integrating enterprise identity providers to manage team access and permissions across shared resources. It also features a comprehensive link management toolset that generates branded URLs and personalized QR codes, supported by advanced

Helicone is an AI gateway and observability platform designed to intercept, manage, and monitor interactions with large language models. By acting as a reverse-proxy, it provides a centralized layer for routing requests across multiple AI providers, allowing developers to maintain consistent application logic while gaining deep visibility into model performance, usage, and costs. The platform distinguishes itself through a robust suite of traffic management and prompt engineering tools. It enables policy-driven control, including automatic failover between providers, rate limiting, and edge-b

GrowthBook is a feature flagging and experimentation platform that utilizes a warehouse-native approach to data analysis. It serves as a system for managing feature rollouts and conducting A/B tests by executing SQL queries directly against existing data warehouses to calculate experiment results. The platform is distinguished by its integration of a Model Context Protocol server, which allows AI coding assistants and IDEs to manage flags and query analytics using natural language. It also provides specialized capabilities for AI model optimization, enabling the testing of prompts and models

Maxun is an open-source web scraping and automation platform designed to transform dynamic website content into structured data. By leveraging artificial intelligence to interpret natural language prompts, the system identifies page elements and extracts information without requiring manual selector configuration. It serves as a bridge between raw web content and intelligent workflows, providing structured outputs in formats optimized for large language model ingestion and agent-based applications. The platform distinguishes itself through its ability to handle complex, authenticated, and dyn

Baserow is a self-hosted, no-code relational database platform built on PostgreSQL. It provides a spreadsheet-like interface for structuring and managing data without writing code, while exposing all database resources via a REST API to support headless architectures. The platform distinguishes itself by integrating large language models and embedding servers to power AI assistants and automated data generation. It further extends its utility as a no-code application builder, allowing users to create custom internal portals, dashboards, and business tools using visual logic and managed data.

Centrifugo is a self-hosted real-time messaging server that provides infrastructure for scalable notifications, a publish-subscribe message broker, and a language-agnostic WebSocket gateway. It allows for the delivery of instant messages and data streams to concurrent users via WebSockets and Server-Sent Events. The system functions as a communication layer that separates network transport from backend business logic. It supports distributed messaging clusters using Redis for coordination of presence and message delivery across multiple server nodes. The project covers channel subscription m

Julep is an LLM agent orchestration platform and multi-tenant AI backend designed for building autonomous agents with persistent memory, tool integration, and complex multi-step workflows. It serves as a framework for configuring agent identities and behavioral settings to automate specialized professional roles. The platform distinguishes itself through its stateful session management and RAG infrastructure engine, which allow agents to maintain long-term interaction history and ground responses in indexed private documents. It provides enterprise-grade infrastructure features, including a s

This project provides a framework for managing multi-agent systems, designed to automate complex software development, infrastructure, and business workflows. It functions as a multi-agent workflow orchestrator that routes tasks to domain-specific workers while maintaining state persistence and infrastructure automation. By leveraging large language models, the system decomposes high-level objectives into actionable plans, ensuring that complex operations are executed with consistency and reliability. The framework distinguishes itself through its hierarchical agent registry and policy-driven

GitHub Copilot is an AI-powered development platform designed to integrate large language models directly into coding environments. It functions as an interactive assistant and an agentic workflow orchestrator, enabling developers to automate code generation, perform automated code reviews, and execute complex, multi-step development tasks through natural language prompts. The platform distinguishes itself through its autonomous agent capabilities, which allow for repository-level research, implementation planning, and code modifications across multiple files. It supports a modular architectu

backtesting.py is a Python trading backtesting framework used to simulate trading strategies against historical price data to evaluate performance and risk. It includes a technical trade simulator, a quantitative performance analyzer, and a financial strategy optimizer. The framework features a parallel strategy simulator that distributes execution across multiple processor cores to reduce computation time. It also provides tools for strategy parameter optimization, allowing the identification of performant settings through the use of heatmaps and metrics. The system covers trade execution m

The Tradememory Protocol is a persistent, multi-layered memory and audit framework designed for artificial intelligence trading agents. It provides a structured architecture for agents to maintain episodic, semantic, and procedural knowledge across trading sessions, ensuring that decision-making is informed by long-term recall and historical context. The framework distinguishes itself through a combination of cryptographic integrity and cognitive modeling. It employs a tamper-evident logging system that uses hashed sequences to verify the history of trading decisions, alongside an outcome-wei

VeighNa is an event-driven, modular platform designed for the development, backtesting, and execution of automated financial trading strategies. It provides a comprehensive suite of tools that includes a centralized trading terminal for monitoring portfolios and market conditions, alongside a robust algorithmic trading engine that manages real-time data processing and order execution. The platform distinguishes itself through a highly decoupled architecture that isolates algorithmic logic from market connectivity, allowing for independent strategy development and testing. It utilizes a dynami

Nautilus Trader is a high-performance algorithmic trading framework built in Rust, designed for the development, backtesting, and live execution of automated trading strategies. It provides a comprehensive platform for managing multi-asset portfolios and interacting with diverse financial markets through a standardized connectivity suite. The system is engineered to handle high-frequency data processing and complex order execution while maintaining precise numerical accuracy across various asset classes. The framework distinguishes itself through an architecture centered on deterministic even