Interactive Brokers/ Alpaca/ Binance/ Coinbase/ cTrader/ FIX Protocol/ Kraken/ OKX/ Bybit/ Bloomberg EMSX/ GPT-4/ Claude/ Gemini/ Mistral/ Polygon.io/

The operating system for hedge funds.

Research, risk, execution, and AI orchestration in one platform. Backtest to paper trade in 48 hours. Live capital in 30 days.

Book a demo → See how it works →
Hyperliquid/ dYdX/ MetaTrader 5/ TradingView/ Yahoo Finance/ Slack/ Telegram/ Groq/ Llama/ Supabase/ Cloudflare Workers/ CCXT 100+/ Finnhub/ CoinGecko/ Alpha Vantage/
How it works

One workflow.
Research to production.

01 — Build

Visual Workflow Builder

Drag-and-drop nodes to design strategies. Triggers, data sources, AI agents, execution — all visual.

→
02 — Test

Backtest with Real Data

Run against historical market data. Equity curves, Sharpe ratio, drawdown — real metrics, not mocks.

→
03 — Deploy

One-Click Deployment

Push agents to our edge network. 24/7 uptime, global low-latency execution, auto-scaling.

→
04 — Control

Monitor & Risk Manage

Live P&L, risk rules, alerts, audit trails. Kill switches and drawdown limits built in.

hdge.app — Agent Builder
Node Library
Triggers
Data Sources
AI Models
Logic
Execution
Risk
Notifications
Cron Trigger
BTC/USD Feed
GPT-4 Agent
Risk Guard
Place Order
Slack Alert
Platform

Workflow Builder for
Quantitative Funds

Build any type of trading workflow with our visual platform. From execution strategies and portfolio managers to risk analyzers and market monitors. Create the exact solution you need.


Transform your strategies into adaptive, market-reactive trading workflows powered by multi-model AI.

See How It Works →
Build vs Buy

Stop building plumbing.
Start shipping alpha.

A quant engineering team costs $1–2M/year in salaries, infrastructure, and maintenance. Most of that spend goes to plumbing, not performance.

See the ROI for your fund →
In-house
HDGE
Time to first strategy
6–18 months
48 hours
Engineering team
3–5 hires
Just your PM
Annual infra cost
$300–500K
✓ Included
Backtesting engine
Build from scratch
✓ Built-in
Risk management
Custom code
✓ Visual rules
Multi-broker routing
Each integration built
✓ 6 adapters
AI orchestration
Separate layer
✓ 5 LLMs built-in
Ongoing maintenance
Your burden
✓ We handle it
69 Native Integrations. One Platform.
BROKERS
Goldman Sachs Morgan Stanley Bloomberg EMSX Interactive Brokers FIX Protocol Alpaca cTrader MetaTrader 5 TradeStation Saxo Bank IG Markets OANDA CME Direct Eurex Charles Schwab Fidelity
AI MODELS
GPT-4 Claude Gemini Llama Grok Mistral Hugging Face Cohere Perplexity Replicate
EXCHANGES
Binance Coinbase Kraken OKX Bybit dYdX Hyperliquid KuCoin Gate.io Bitfinex HTX MEXC Bitget Uniswap GMX
DATA
Bloomberg Terminal Reuters Yahoo Finance CoinGecko CoinMarketCap TradingView Alpha Vantage Polygon.io Finnhub Morningstar S&P Capital IQ Quandl
TOOLS
Slack Discord Telegram Google Sheets Google Drive Notion Airtable AWS S3 Snowflake PostgreSQL MongoDB Redis Pinecone Zapier GitHub Twilio
Who it’s for

Growing funds that need institutional infrastructure.

$50M+ AUM

You’ve outgrown Python scripts and spreadsheets. Your strategies work, but the infrastructure underneath them doesn’t scale. You need institutional-grade execution, risk controls, and AI orchestration without spending 18 months and $500K building it from scratch. HDGE gives you the full stack on day one, so your team stays focused on alpha.

Book a demo →

Frequently Asked Questions

What is HDGE?

HDGE is the operating system for hedge funds. A visual agent builder, backtesting and paper trading engines, risk controls and multi-broker routing in a single platform, so funds design, test and deploy autonomous strategies without building quant infrastructure from scratch.

Who is HDGE built for?

Funds with more than $50M AUM. Growing hedge funds, prop desks and family offices that have outgrown founder-on-laptop Python scripts and need institutional-grade infrastructure without a full in-house engineering team.

Do portfolio managers need to code?

No. Strategies are built visually by connecting nodes for data, signals, AI reasoning, risk rules and execution. Quants can still drop into Python for custom logic, and the AI copilot can generate or refine full workflows from a plain-language brief.

Which brokers, venues and data providers are supported?

69 native integrations: institutional brokers (Goldman Sachs, Morgan Stanley, Bloomberg EMSX, Interactive Brokers, FIX Protocol, Alpaca, cTrader, MetaTrader 5), 15 crypto venues (Binance, Coinbase, Kraken, OKX, Bybit, Hyperliquid, dYdX…), 12 data providers (Bloomberg Terminal, Reuters, Polygon.io, TradingView) and 10 LLM providers (GPT, Claude, Gemini, Llama, Mistral). Custom integrations available on Enterprise.

Is HDGE custodial? How are credentials secured?

Strictly non-custodial. Broker and exchange credentials are encrypted at rest in an isolated key vault and used only to route orders from your own accounts. HDGE never holds client funds and never moves capital outside your venues.

How do backtesting and paper trading work?

Backtests run against historical data and return equity curves, Sharpe, max drawdown, win rate and turnover. Paper trading replays the same agent in real-time on live feeds with virtual capital. Both run server-side. Sessions keep executing even after you close the app, and every run is persisted per agent.

How does live execution stay under control?

Every agent runs behind configurable risk rules: position limits, max drawdown, daily loss caps, kill-switch. Strategies are promoted from paper to live only after explicit approval, and every decision, order and fill is logged for audit.

How much does it cost and how fast can we go live?

HDGE Core starts at $20K/year. Core+ and Enterprise are custom and scale with your AUM and setup. Full pricing is shared during the demo. A typical fund has its first agent paper-trading the same day and a first live strategy running within 2 to 6 weeks, depending on broker onboarding.