Bigmacman40879

Bigmacman40879 / tradex-company

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An algorithmic trading strategy platform to build, test, and optimize trading systems, featuring real-time workflows, secure auth, and a modern full-stack architecture.

trading-strategies
15
8
100% credibility
Found Mar 23, 2026 at 15 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

A web platform where traders discover, analyze backtested strategies for stocks, forex, and crypto, discuss in community forums, and access premium features via subscription.

How It Works

1
🌐 Discover the trading strategies site

You land on a sleek homepage showcasing proven strategies for stocks, crypto, and forex with eye-catching charts and real results.

2
🔍 Browse and filter strategies

You explore dozens of backtested strategies, filtering by market type, timeframe, or performance to find ones that match your style.

3
📈 Dive into a strategy's details

You click a strategy and see full backtest charts, win rates, rules, pros/cons, and even the algorithm breakdown — everything feels transparent and trustworthy.

4
Sign up for your free account
✅
Free trial starts

Get instant access to sample strategies and community without paying.

👑
Upgrade to premium

Pay once via wallet for unlimited strategies, daily updates, and coaching.

5
💬 Join the trader community

You read discussions, post questions, follow experts, and share your wins in a lively forum.

🚀 Trade with confidence

Your dashboard shows personalized recommendations, live performance, and you're executing winning strategies like a pro.

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Star Growth

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AI-Generated Review

What is tradex-company?

Tradex Company is a full-stack platform for discovering, sharing, and backtesting algorithmic trading strategies across crypto, forex, and stocks. Developers and traders get a polished React frontend to browse 12+ pre-loaded strategies like mean reversion RSI or breakout momentum, complete with equity curves, win rates, drawdowns, and monthly returns, plus community discussions and filters by market or timeframe. Built in TypeScript with Express backend and Supabase database, it handles secure auth, real-time strategy CRUD, and user follows out of the box.

Why is it gaining traction?

It stands out in the github algorithmic trading space by shipping with realistic backtest data for strategies inspired by classics like Turtle Trading or Ichimoku Cloud, saving users weeks of data crunching. The shadcn UI delivers a TradingView-like experience with sortable grids, detailed cards, and seeded forums mimicking real trader debates on risk management or order flow. For algorithmic trading roadmap seekers, it's a quick way to prototype systems without starting from scratch.

Who should use this?

Retail algo traders hunting proven setups like statistical arbitrage pairs or harmonic patterns with ready metrics. Full-stack devs building trading dashboards who need a Supabase-backed boilerplate for auth, profiles, and content feeds. Quant hobbyists following Ernest Chan's algorithmic trading book approaches, testing ideas via the clean API endpoints for strategies and discussions.

Verdict

Solid starter for algorithmic trading strategies enthusiasts, but with just 15 stars and 1.0% credibility score, treat it as a learning template rather than production-ready—docs cover setup well, but expect tweaks for live trading. Fork and extend if you're in the algorithmic toolbox coursera github crowd.

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