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Tradex

An upcoming cloud-native algorithmic trading platform that connects TradingView Pine Script strategies with a FastAPI execution engine, AI signal validation, broker integrations and portfolio analytics.

Product overviewTradex hero screenshot
The brief

AI-powered trading automation for strategies, signals, execution and risk.

Tradex is planned as a dashboard for strategy management, analytics, trade history and portfolio tracking, built with React, TypeScript and Tailwind CSS.

FastAPI and Python power webhook handling, strategy APIs, user APIs, trade APIs and analytics. PostgreSQL stores users, trades, strategies, subscriptions and performance records, while Redis handles live prices, sessions, open positions, caching, pub/sub and rate limiting.

The AI layer starts with Scikit-Learn, Random Forest and XGBoost for buy/sell probability and confidence scores, with a future PyTorch layer for LSTM and Transformer-based forecasting.

What it does

Built for trading workflows.

/ 01

TradingView strategy layer

Pine Script indicators, strategies, signals and alerts connect user strategies into the Tradex automation flow.

/ 02

FastAPI execution engine

Webhook, strategy, trade, user and analytics APIs coordinate the backend platform.

/ 03

Market data service

Planned integrations include Binance, Alpha Vantage and Twelve Data first, with Polygon.io, Finnhub and IEX Cloud later.

/ 04

Broker integrations

Broker execution support is planned across crypto, forex and stocks through providers like Binance, Bybit, Coinbase, OANDA, Alpaca and Interactive Brokers.

/ 05

AI signal validation

Machine learning models score buy probability, sell probability and confidence before automation decisions.

/ 06

Risk & notifications

Risk alerts and trade updates can be delivered through Telegram, Discord and email.

Under the hood

Tech stack.

R
Frontend
React + TypeScript
Tw
UI
Tailwind CSS
TV
Charts & signals
TradingView widget + Pine Script
Py
Backend
FastAPI + Python
Pg
Database
PostgreSQL
Re
Realtime cache
Redis
AI
AI v1
Scikit-Learn + XGBoost
PT
AI v2
PyTorch
GCP
Cloud
Cloud Run, Cloud SQL, Memorystore
JWT
Auth
JWT + roles
Screens

A look inside.

Who built it

The Tradex crew.

The people behind the build — and exactly what they owned.

Vishal
Vishal
Senior Consultant

Advises on platform architecture, trading workflows and technical direction.

ArchitectureStrategyTrading
Greeshma
Greeshma
Senior Software Engineer

Works across product features and engineering quality for the platform.

FrontendBackendQuality
Kamal
Kamal
Associate Software Developer

Supports feature development, validation and QA for trading workflows.

QATestingProduct
Durgesh
Durgesh
Data Engineer

Supports market data, analytics pipelines and database-backed trading insights.

DataAnalyticsPipelines
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