NAS100 Quant Research and Market Structure Analysis Too

I am looking for a Python developer to build a lightweight market analysis application for NAS100 (Nasdaq 100). The tool is NOT intended to place trades. The purpose is to analyze historical price data and provide: Trend classification (uptrend, range, breakdown) Support and resistance detection Break of structure detection ATR calculations Average pullback calculations Historical drawdown analysis Position size calculator based on account size and risk tolerance Inputs: Historical NAS100 price data Account size Risk parameters Outputs: Market state classification Support and resistance levels Trend strength Average pullback statistics Suggested position size Risk/reward calculations Requirements: Python preferred Simple interface (command line or lightweight web page) No automated trading No machine learning No broker integrations No complex dashboards The goal is a research and decision-support tool, not an execution system.