Self-hosted · Python-native · AI-integrated — v3.0.2

Your private AI quant operating system.

Research markets, generate Python strategies, backtest ideas, and run live trading workflows — on infrastructure you fully control. One stack for AI analysis, charting, strategy code, backtests, quick trade, and live operations.

ai.quantdinger.com / dashboard
Dashboard
Trading Bots
AI Analysis
Backtest
Portfolio
Settings
Equity $ 48,231.05 + 3.42%
24h PnL + $ 1,605.22 + 3.44%
Win rate 64.8% 30d
Active bots 12 + 2 today
StrategyMarketModePnLStatus
Grid ETH/USDT — Neutral Crypto · SwapLive + 842.10 ● running
DCA BTC/USDT — Accum. Crypto · SpotSignal + 312.66 ● running
Martingale SOL/USDT Crypto · SwapLive − 58.40 ● running
Trend AAPL US Stocks · IBKRSignal + 206.15 ● running
10+
Crypto exchanges
6
LLM providers
4
Built-in bot strategies
100%
Self-hosted, your data
Platform

One stack. Every edge you need.

Research to execution in one product — AI analysis, charting, strategy code, backtests, quick trade, and live operations connected from day one.

Fast AI Market Analysis

Structured, low-latency analysis with memory, ensemble voting, and confidence calibration. Compare views across OpenAI, Claude, Gemini, DeepSeek, Grok and more.

Python-Native Strategies

Write dataframe-based IndicatorStrategy or event-driven ScriptStrategy. AI can draft a starting point — you stay in control of the code.

Deterministic Backtesting

Commission and slippage modeling, trade-by-trade analytics, equity curves. Every run is pinned to a code hash and config snapshot for perfect reproducibility.

Autonomous Trading Bots

Grid, Martingale, Trend Following and DCA out of the box. Execution-aware, restart-resilient, with signal or fully-live execution modes.

Self-Hosted by Design

One Docker Compose command brings up Flask API, PostgreSQL 16, Redis, and Nginx. Your keys, strategies, AI history and trades never leave your infrastructure.

Operator-Ready

Multi-user PostgreSQL backend, role-based access, Google/GitHub OAuth, memberships, credits, USDT payments, and Telegram / Email / SMS / Discord / Webhook alerts.

Who it's for

Built for everyone running real strategies.

Whether you trade solo, run a quant team, build a product, or operate a fund — QuantDinger is shaped for the way you actually work.

AI-assisted individual traders

Solo traders and quant enthusiasts who want AI, charting, backtests and bots in one workspace — instead of juggling 5 tools.

Quant research teams

Teams that want a unified toolchain — data ingestion, strategy code, backtests, live execution, and a shared history of experiments.

Python strategy developers

Developers who want a fast path from Python idea → backtest → live execution, with a documented SDK and clear extension points.

Privacy-first teams

Research desks and operators that cannot send keys, alpha, or trading history to a hosted SaaS. Everything stays inside your infra.

Fintech & AI-trading startups

Founders who need users, billing, credits, OAuth and payments in the stack from day one — not months of re-building plumbing.

Asset management firms

Internal desks wanting one integrated platform for research, strategy code, execution, alerts, and operator-side admin controls.

Use cases

One platform, many operating models.

The same deployable stack adapts to an internal research lab, a live strategy incubator, a customer-facing product, or a classroom.

01

Internal research & backtest lab

Stand up a private quant research and backtesting platform for your team — reproducible runs, shared strategy library, saved snapshots.

02

AI trading assistant products

Build consumer or pro-grade AI trading assistants on top of ensemble analysis, calibration, and memory — with a working UI out of the box.

03

Strategy incubation & live validation

Run a strategy incubator end-to-end: ideation, Python code, backtest, paper trade, then graduate to live with small size.

04

Paid signals & strategy service

Offer member-based trading signals or strategy subscriptions with built-in memberships, credits, and USDT TRC20 payments.

05

Quant education & training

Ship a hands-on learning environment for quant finance classes and bootcamps — real Python strategies, real charts, safe paper trading.

06

Internal ops for asset managers

Run a private operations console for a fund or family office: portfolio monitors, alerts, multi-user roles, and audit-friendly history.

Coverage

Every venue worth trading.

Ten crypto exchanges out of the box, IBKR for equities, MT5 for forex, and Polymarket as a research workflow — unified under one UI.

Crypto ExchangesBinance · OKX · Bybit · Bitget · Gate · HTX …
$
US StocksIBKR · Yahoo · Finnhub
Forex & MetalsMT5 · OANDA · XAU · XAG
FuturesCME · COMEX · CBOT
¥
CN / HK StocksSSE · SZSE · HKEX
PolymarketPrediction market research
Spot & DerivativesSwap · Perps · Options
Pluggable feedsCustom REST / WS adapters
Mobile app

Your quant stack, now in your pocket.

Open the mobile web app in your browser, or install the native Android build. iOS TestFlight coming soon.

Mobile Web

Same full-feature app, optimised for phones. No install — just open and use.

Open m.quantdinger.com
m.quantdinger.com

Android APK

Native install, splash screen, safe-area & push-ready. Android 7+.

Download APK
www.quantdinger.com/download/app.apk

On Android, you may need to allow "Install from unknown sources" for your browser before installing.

iOS

TestFlight build coming soon — in the meantime, use the mobile web app.

Coming soon
Workflow

From idea to live capital — in minutes.

A straight line from market view to autonomous execution, with a reproducible backtest safety net in between.

01

Research & analyze

Pull multi-timeframe data, run ensemble AI analysis, inspect indicator signals and comparables — all in one workspace.

02

Build or generate

Configure a ready-made bot with the visual wizard, or write full Python indicators / strategies using our documented SDK.

03

Backtest & iterate

Deterministic runs with realistic commissions, slippage, and leverage. Freeze every experiment by code hash and config snapshot.

04

Deploy & operate

Go live with one click. Real-time PnL, equity tracking, portfolio monitors, alerts, and idempotent order retry built in.

Technical architecture

A clean, layered, operator-ready stack.

One Docker Compose command brings up a Flask API, PostgreSQL 16, Redis 7, and an Nginx-delivered Vue frontend — with pluggable adapters for exchanges, brokers, LLMs, payments, and notifications.

Client Who talks to the platform
Web Browser Mobile (Capacitor) Telegram Bot Webhooks
Edge Delivery & static assets
Nginx Prebuilt Vue 3 dist HTTPS / CDN Health checks
Application Business logic & services
AI Analysis Ensemble, memory, calibration
Strategy & Backtest Python runtime, engine, snapshots
Execution Order intent, bots, pending worker
Billing & Ops Memberships, credits, USDT TRC20
Flask API Gateway · Python services
State Persistence & runtime coordination
PostgreSQL 16 Redis 7 Logs & snapshots Encrypted at rest (Fernet)
Integrations Pluggable external systems
OpenAI · Claude · Gemini · DeepSeek · Grok CCXT · 10+ crypto venues IBKR · MT5 · OANDA TronGrid (USDT TRC20) Telegram · Email · SMS · Discord Polymarket research feed
Frontend
Vue 3 · Ant Design Vue · KLineCharts · ECharts · Capacitor
Backend
Flask · Gunicorn · Pandas · CCXT · bip-utils
Data
PostgreSQL 16 · Redis 7 · Fernet encryption at rest
Deploy
Docker Compose · Health checks · Worker toggles · env-driven config
AI stack

The best of every model. At your command.

We don't pick a winner — we orchestrate them. Switch providers per query, or let the ensemble vote with confidence calibration.

OpenRouter
OpenAI GPT
Anthropic Claude
Google Gemini
DeepSeek
xAI Grok
Moonshot Kimi
Qwen
Local LLMs
FAQ

Questions, answered.

Is QuantDinger really self-hosted?

Yes. Default deployment is your own Docker Compose stack with your own PostgreSQL, Redis, credentials, and environment. The repo ships with a prebuilt Vue frontend plus the Flask backend — one command brings it all up.

Do you store my exchange API keys?

Keys are encrypted with your instance's private SECRET_KEY (Fernet under the hood) before they are written to the database. They never appear in logs and are only ever decrypted in memory when placing orders.

Can I write my own strategies and indicators?

Absolutely. QuantDinger is Python-first. Both IndicatorStrategy (dataframe signals) and ScriptStrategy (event-driven, on_bar(ctx, bar)) models are supported. AI can draft starting code; you own the iteration.

Which venues are supported for live trading?

Ten crypto exchanges out of the box — Binance, OKX, Bybit, Bitget, Gate.io, Coinbase, Kraken, KuCoin, HTX, Deepcoin. Plus IBKR for US stocks & futures, and MT5 for forex. Polymarket is supported as research.

Is it free?

The backend is Apache 2.0. The prebuilt frontend is source-available under a separate license that allows personal and qualified non-commercial use for free; commercial deployment requires a license. See TRADEMARKS.md and LICENSE in the repo.

What languages is the app available in?

The app itself is fully localized across 10 languages — English, Simplified & Traditional Chinese, Japanese, Korean, Vietnamese, Thai, French, German, and Arabic.

Ready to run your own quant stack?

Launch the full web app in a single click, or clone the repo and self-host in two minutes.