What is OpenAlgo?
OpenAlgo is a free, open source, self hosted algorithmic trading platform that bridges trading ideas with execution. Built with Python Flask and a modern React frontend, it provides a unified API layer across 34 broker plugins: 33 securities integrations and Delta Exchange for crypto derivatives. It supports automation from Amibroker, TradingView, GoCharting, N8N, Python, Java, Go, .NET, Node.js, ChartInk, MetaTrader, Excel, and Google Sheets.
Overview
OpenAlgo is an open-source, self-hosted algorithmic trading platform that makes it easy to build, test, and run trading strategies across multiple Indian brokers using a single, consistent interface.
Beyond execution, OpenAlgo empowers traders to completely own their trading infrastructure. Traders can effortlessly build algorithmic strategies, indicators, and custom trading dashboards using AI agentic coding tools, connect with their favorite trading platforms, and deploy strategies without being tied to any single broker or vendor. By standardizing broker APIs into one consistent trading layer, OpenAlgo allows strategies to work the same way across brokers, making automation faster, scalable, and fully under the trader’s control.
What Problem Does OpenAlgo Solve?
OpenAlgo is built around one core idea: effortlessly create trading strategies using AI tools and run and monitor them like never before. Instead of learning multiple broker APIs and documentation, AI agentic coding tools such as Codex, Claude Code, Antigravity, and OpenCode understand OpenAlgo directly. Traders can build strategies faster, create their own algo features, design custom trading alerts, connect to any trading platform of their choice, store historical data, and run analytics or backtesting within a fully self hosted environment. There are no code tool offerings available, and you completely own your data and infrastructure.
Most brokers expose their own APIs with different authentication methods, order parameters, market data structures, and operational limitations. OpenAlgo reduces this friction with common request and response shapes. Exchange coverage, authentication, market-data entitlement, GTT support, and other optional capabilities still vary by plugin and broker account.
Who Should Use OpenAlgo?
Traders
OpenAlgo is suitable for traders who want to:
Automate rule-based or discretionary strategies
Execute TradingView, ChartInk, or Amibroker alerts
Test strategies safely using sandbox testing
Monitor orders, positions, and profit/loss in real time
Maintain full control over execution and data
No coding expertise is required to get started, though advanced users can extend it further.
Developers
OpenAlgo is designed for developers who need:
A stable and well-documented REST and WebSocket API
Uniform request and response formats across brokers
SDKs in multiple programming languages
A self-hosted, extensible trading backend
Support for advanced use cases such as AI-driven execution
Key Capabilities
Unified Trading API
OpenAlgo exposes a standardized API that allows you to:
Place, modify, and cancel orders
Fetch positions, holdings, and funds
Access orderbook and tradebook
Retrieve real-time and historical market data
Broker plugins follow the common API structure for the operations they support.
Multiple Ways to Run Strategies
OpenAlgo supports different strategy workflows:
Hosted Python strategies running directly inside OpenAlgo
Visual Flow strategies built using a no-code, drag-and-drop interface
External signals from TradingView, Amibroker, ChartInk, Excel, or Google Sheets
AI agents connected through the MCP server
This flexibility allows users to choose the approach that best fits their experience level.
Sandbox Testing Environment
OpenAlgo includes a fully isolated sandbox testing environment for validating strategies before live deployment.
Sandbox testing provides:
Live market data
Configurable sandbox capital
Configurable sandbox margin and order behavior
Configurable MIS square-off schedules
Simulated order and account state isolated from live broker execution
Order Control and Safety
OpenAlgo offers optional order approval workflows:
Automatic execution for fully automated strategies
Manual approval for supervised or discretionary trading
Full audit trail of all actions
This helps reduce execution risk and improves transparency.
Security and Privacy
Security and data ownership are core principles of OpenAlgo:
Broker session tokens are encrypted;
.envcredentials must be protected by the operatorPasswords are securely hashed
Two-factor authentication is supported
API access is rate-limited
No user data is collected or shared
All data remains on infrastructure controlled by the user.
Deployment and Usage
OpenAlgo is designed to be self-hosted:
Run on a local machine
Deploy on a VPS or cloud server
Suitable for personal, professional, and team use
Once installed, it can serve as a central execution engine for all trading strategies.
What OpenAlgo is NOT
Let's be clear about what OpenAlgo doesn't do:
Get-rich-quick scheme
It's a tool - profitability depends on your strategy
Strategy provider
You need your own trading ideas
Financial advisor
You're responsible for trading decisions
Black box
100% open source - verify every line of code
Cloud service
Self-hosted - you control everything
System Requirements
OS
Windows 10, macOS 10.15, Ubuntu 20.04
Latest versions
Python
3.12+
3.12+
RAM
2 GB
2 GB+
Storage
2 GB
10 GB+ (for historical data)
Network
Stable internet
Low latency connection
Summary
Cost
Free (Open Source, AGPL License)
Brokers
34 plugins: 33 securities integrations + Delta Exchange
Exchanges
NSE, NFO, BSE, BFO, MCX, CDS, BCD
Signal Sources
TradingView, Amibroker, ChartInk, Python, AI
Strategy Building
Flow (Visual), Python Hosting, External Webhooks
Sandbox Trading
Analyzer Mode with ₹1 Crore sandbox capital
Historical Data
Historify with DuckDB storage
Real-Time Data
WebSocket streaming for quotes and orders
Notifications
Telegram bot, WebSocket updates
Data Privacy
100% - self-hosted on your infrastructure
Skill Required
Basic trading knowledge
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