BFSI & FinTech Dash BytesSubmitted July 26, 2026

Ztockza Copilot — Real-Time AI Quant Terminal & MCP Copilot

An MCP app on the Model Context Protocol built by Dash Bytes at the Amrita University Coimbatore NitroStack × MCP To The Moon hackathon and deployed on NitroStack.

About this project

Ztockza Copilot is an AI-powered quantitative trading terminal and conversational copilot built on NitroStack MCP. It connects live financial data, multi-factor technical analysis, and automated pattern recognition directly into an interactive dark-mode interface. What it does: • Live Candlestick Charting & Target Overlays: Fetches real-time Yahoo Finance OHLC data and renders dynamic support, resistance, and AI target price lines directly on visual charts. • Multi-Factor Analysis Engine: Combines key price levels, technical momentum indicators, and market psychology (Fear & Greed Index) into actionable trading signals. • Automated Pattern & Trendline Recognition: Scans historical price bars to detect Ascending Support, Descending Resistance, and Consolidation patterns with pivot-cluster strength scores (0–100). • Conversational MCP Assistant: Features an embedded chat panel where traders can query stock metrics, resolve stock symbols, and receive instant AI pattern breakdowns with confidence ratings. Who it is for: Designed for retail traders, quantitative analysts, and active investors who want institutional-grade technical analysis and chart pattern detection without juggling multiple trading tools. What makes it special: Unlike traditional static charts or generic LLM chatbots, Ztockza Copilot acts as a context-aware visual quant assistant. By leveraging custom NitroStack MCP tools, it seamlessly feeds live market math, pivot-cluster scoring, and visual overlay coordinates to the AI—translating raw market noise into actionable, high-confidence trading insights in real time.

BFSI & FinTech track

Build AI solutions for banking, payments, insurance, fraud detection, lending, and financial inclusion.

Live MCP appSource code

Team Dash Bytes

  • KARTHIKEYAN MPLead

  • Manu V

  • Bala Sri Ram S

  • VISHNU.K.N

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Frequently asked questions

What does Ztockza Copilot — Real-Time AI Quant Terminal & MCP Copilot do?
Ztockza Copilot is an AI-powered quantitative trading terminal and conversational copilot built on NitroStack MCP. It connects live financial data, multi-factor technical analysis, and automated pattern recognition directly into an interactive dark-mode interface. What it does: • Live Candlestick Charting & Target Overlays: Fetches real-time Yahoo Finance OHLC data and renders dynamic support, resistance, and AI target price lines directly on visual charts. • Multi-Factor Analysis Engine: Combines key price levels, technical momentum indicators, and market psychology (Fear & Greed Index) into actionable trading signals. • Automated Pattern & Trendline Recognition: Scans historical price bars to detect Ascending Support, Descending Resistance, and Consolidation patterns with pivot-cluster strength scores (0–100). • Conversational MCP Assistant: Features an embedded chat panel where traders can query stock metrics, resolve stock symbols, and receive instant AI pattern breakdowns with confidence ratings. Who it is for: Designed for retail traders, quantitative analysts, and active investors who want institutional-grade technical analysis and chart pattern detection without juggling multiple trading tools. What makes it special: Unlike traditional static charts or generic LLM chatbots, Ztockza Copilot acts as a context-aware visual quant assistant. By leveraging custom NitroStack MCP tools, it seamlessly feeds live market math, pivot-cluster scoring, and visual overlay coordinates to the AI—translating raw market noise into actionable, high-confidence trading insights in real time.
Who built Ztockza Copilot — Real-Time AI Quant Terminal & MCP Copilot?
Ztockza Copilot — Real-Time AI Quant Terminal & MCP Copilot was built by team Dash Bytes at the Amrita University Coimbatore NitroStack × MCP To The Moon hackathon, in the BFSI & FinTech track.
What is an MCP app and how is it built?
An MCP app is an application built on the Model Context Protocol — an open standard that lets AI agents connect to tools, data, and APIs. This project exposes MCP tools and resources that agentic AI systems can call. It was built and deployed on NitroStack, the full-stack platform for shipping MCP apps and servers.