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Message: <blockquote data-quote="manarrow" data-source="post: 31415811" data-attributes="member: 524640">okata gahapu eka meka. prompt engineering igenagnna YouTube thiynawa. thawa kohomada hariyata dekata prompt karanne kiyala Gemini genma igenaganna puluwan. tutorial ekak widihata step by step kiyala denna kiyala kiyanna ethakota kiyai.Initialize the project and then Build me a web app that displays a configurable number of live trading charts on a responsive split-screen layout using Lightweight Charts. and this chart exclusively for backtesting as a trading simulator. Connect Hyperliquid's websocket for live crypto prices. The pane should have its own dropdown to pick any symbol and any timeframe independently. Make the data source pluggable through a single data_source.py file so I can swap in any other broker later (Alpaca, Binance, Zerodha, Polygon, etc.) by adding one function. Set up a small Flask backend to bridge yfinance into the browser, wire the websocket handler for Hyperliquid, build the responsive grid in plain HTML/CSS (no heavy framework), and add a colour-coded ticker bar on each pane that flashes green or red on every price change. Everything runs locally — no deployment, no servers, no API keys required for the default sources.Before start explain me what is the best option to go</blockquote>

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