I’m a day trader who focuses on U.S. stocks priced below $10 and I rely on a web-based platform for all my charting and executions. I want a purpose-built screener that flags tickers most likely to make rapid moves during the session, then displays them on a real-time chart with the data points I care about front and center. The screener must combine three layers of confirmation: sudden volume spikes, key technical indicators, and live news sentiment. On the technical side I trade mainly off moving averages (multiple periods), RSI, Bollinger Bands, MACD, VWAP, clearly marked support and resistance zones, plus a simple momentum gauge. When any of those line up with an abnormal surge in volume and a positive news or social-media tilt, the ticker should light up on the dashboard and, ideally, trigger an audible/visual alert. Because this has to run inside (or alongside) my existing web platform, I need clean, lightweight code—JavaScript or Python back-end with a browser front-end would be fine—along with an easy way to edit indicator settings on the fly. The workflow I have in mind is: • Real-time market data feed ingested and filtered for < $10 stocks • Built-in logic for volume-spike detection compared against rolling averages • Calculation and plotting of the listed indicators on an interactive chart • NLP layer pulling headlines/social data, scoring sentiment, merging it with the technical and volume signals • Dashboard showing the live watchlist with customizable alert thresholds and a quick link to each full chart Please include brief setup notes so I can deploy this on my own without a steep learning curve. If you’ve done similar work—especially anything that meshes volume algos with sentiment analysis—let me know, and point me to a demo if you have one.