carnoba/FINRIX-Quant-Trading-Terminal

Institutional-Grade Quantitative Trading Terminal & TFT Neural Network Engine for XAUUSD Gold. Dual-path execution (Local CPU / Modal A10G Cloud GPU) with trade-based backtesting and real-time risk modeling.

GitHub repository with 5 stars and 0 forks.

Language: Python

Topics: algorithmic-trading-quantitative, backtesting-engine, financial-engineering, financial-engineering-, gold-trading-strategy, machine-learning, machine-learning-algorithms, machine-learning-library, machine-learning-models, machine-learning-pipelines

Open provider repository

24h trend summary

Trending score 0.09, freshness score 0.80, stars gained +0, forks gained +0.

Latest metric snapshot

2026-11-15: 5 stars and 0 forks.

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