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ivala2081/README.md

Hamed Alavi

Quantitative Systems Builder · Fintech Product Developer · AI Automation Architect

Istanbul, Turkey · LinkedIn · Email · X


What I build

I sit at the intersection of financial markets, data engineering, and product development. I don't just analyze markets — I build the full-stack infrastructure to trade them, manage them, and automate them.

Quantitative research → production trading systems → enterprise fintech platforms → AI-driven automation. Every layer, end to end.


Projects

🏦 PipLineProV2

In-house fintech operations platform built for a live financial firm — currently in production. Full-stack dashboard: accounting, transfers, wallets, IB integration, HR, PSP management, multi-org support, security audit, AI assistant module. 147+ commits · 2 contributors

TypeScript · React · Vite · Supabase · PostgreSQL · PWA


📈 Helix — Treasury System

BTC price action backtesting framework with institutional-grade validation pipeline.

Metric V5 Result
Total Return +949.7%
Sharpe Ratio 5.40
Max Drawdown 8.55%
Win Rate 84.3%
Profit Factor 12.46
Walk-Forward 5/5 folds profitable (avg OOS +48.72%)

Market Structure + Fair Value Gaps + Smart Money Concepts on 1H BTC. Monte Carlo (10,000 iterations) · Multi-asset (BTC/ETH/SOL) · Interactive HTML dashboard.

Python · MIT License


🌐 VestaprimeWebTrader

Browser-based trading platform with AllTick WebSocket real-time quote streaming.

React · Vite · WebSocket


🤖 Council — AiCompanyOS (in development)

A virtual AI software company. Submit a product idea — receive a fully built, production-ready application. Automated pipeline: conversational intake → architecture → implementation → audit → delivery.

Next.js · TypeScript · Supabase


🔬 Research & Analysis

Project Description Stack
AlphaTest Backtesting toolkit: Walk-Forward, Monte Carlo, ML signal generation Python · scikit-learn
AssetChrono Seasonality analysis for DJI, NQ, S&P500, Gold, DAX — Fourier + STL Python · statsmodels
CryptoChronomics BTC/USDT seasonality + LSTM & Gradient Boosting hybrid strategy Python · TensorFlow

Tech stack

Quant & Trading    │ Python · R · MQL4/MQL5 · Backtesting · ML signal generation
                   │ Market Structure · FVG · SMC · Fourier · LSTM · XGBoost
Frontend           │ TypeScript · React · Next.js · Vite · PWA
Backend            │ Supabase · PostgreSQL · PLpgSQL · REST · WebSocket
Platforms          │ MetaTrader 4/5 · cTrader · Binance API · AllTick
Markets            │ FX · Crypto · Indices · CFDs · Futures · Derivatives

Background

  • 🏢 Built and deployed PipLineProV2 — production fintech ops platform for a live financial firm
  • 🤖 Building Council — AI-native platform that automates software product development end to end
  • 🏦 Co-founded WVM, a next-generation hedge fund (Istanbul, 2021)
  • 📊 Head of Finance, ZedPay — fintech & capital markets firm (2023)
  • 🎓 B.Sc. Civil Engineering, Yıldız Technical University (100% English)
  • 🌍 Languages: English · Turkish · Persian · Azerbaijani

I build the infrastructure. The alpha follows.

Pinned Loading

  1. AlphaTest AlphaTest Public

    A comprehensive toolkit for designing, testing, and refining trading strategies with advanced analytics and machine learning integration.

    Jupyter Notebook 1

  2. AssetChrono AssetChrono Public

    This notebook is designed to boost your day‑trading edge by providing an advanced, multi‑timeframe seasonality analysis

    Jupyter Notebook 1

  3. council council Public

    AiCompanyOS

    TypeScript 2

  4. Helix Helix Public

    Helix Treasury System

    HTML 2

  5. PipLineProV2 PipLineProV2 Public

    PiplinePro Manager Dashboard V2

    TypeScript 2 1

  6. VestaprimeWebTrader VestaprimeWebTrader Public

    web-trader

    JavaScript 2