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maminul007
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trading-platform

Orchestrate AI-driven algorithmic trading with market data ingestion, signal generation, and risk management.

Updated Aug 23, 2026
Search Tags:#risk management#quantitative finance#trading#algorithmic trading#ML models#AI trading#HFT
One-click install
npx skills add https://github.com/maminul007/trading-platform --skill trading-platform
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: trading-platform
Source: https://github.com/maminul007/trading-platform/tree/main
Command: npx skills add https://github.com/maminul007/trading-platform --skill trading-platform

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides a comprehensive, AI-powered algorithmic trading platform designed for sophisticated quantitative trading strategies, automating complex market analysis, signal generation, trade execution, and risk management.

Core Features & Use Cases

  • AI-Powered Decisions: Leverages LLMs and ML models for signal generation and trade approval.
  • End-to-End Automation: Manages market data ingestion, strategy execution, and portfolio tracking.
  • Robust Risk Management: Implements kill switches, position limits, and dynamic sizing.
  • Use Case: Deploy and manage a fleet of automated trading strategies, from research and backtesting to live execution, all orchestrated from a single interface.

Quick Start

Use the trading platform skill to deploy the full trading stack to the compute server.

Frequently Asked Questions about trading-platform

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate algorithmic trading with AI and ML models?▼

You can automate algorithmic trading by using this platform to orchestrate market data ingestion, ML-based signal generation, AI-driven trade execution, and comprehensive risk management across multiple strategies.

How does AI-driven risk management work for quantitative trading?▼

AI-driven risk management operates by implementing automated kill switches, enforcing strict position limits, and applying dynamic position sizing to protect quantitative trading portfolios from excessive exposure.

Can I use ML models for real-time trading signal generation?▼

Yes, the platform leverages ML models and LLMs to generate trading signals and approve trades, automating the market data analysis required for real-time quantitative strategy execution.

What is the best way to deploy an automated HFT trading stack to a compute server?▼

The best way to deploy an automated HFT trading stack is using the platform's Makefile CLI to manage operational workflows, which orchestrates the full stack deployment to your compute server.

Does the algorithmic trading platform support real-time monitoring with Grafana?▼

Yes, the algorithmic trading platform supports real-time monitoring via Grafana, allowing you to visualize strategy performance and track portfolio metrics during live execution.

What are the limitations of using LLMs for trade execution in algorithmic trading?▼

While LLMs drive signal generation and trade approval, algorithmic trading limitations remain mitigated by robust risk management controls like kill switches and position limits to prevent unchecked automated losses.

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