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This project uses Multinomial Naive Bayes to classify messages as Spam or Ham (Safe). It processes raw text data, cleans it, and uses probability-based learning to detect fraud messages with high accuracy.
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Title: Market Action Tracker — Real-Time Multi-Timeframe Breakout & Alert Dashboard
Summary:
A live market monitoring dashboard that tracks 20 forex and commodity pairs across multiple timeframes (3min / 5min / 15min) simultaneously, automatically detecting trend state — consolidating vs. breakout — and firing instant alerts the moment structure shifts.
What it does:
Continuously scans price action across each pair and timeframe in parallel, classifying every pair as consolidating or in an active breakout (bullish/bearish) in real time
Live-updating alert feed logs each breakout the instant it triggers — resistance/support breaks, timestamped to the second
Multi-timeframe view surfaces structure shifts as they cascade from short to longer windows, instead of flipping between charts
Auto-refresh with a visible "MARKET LIVE" status and last-updated timestamp, so there's no ambiguity about data freshness
Notification system surfaces new alerts without needing to babysit the screen
Clean, dark-mode trading-desk UI built for fast scanning — color-coded states (green breakout, orange consolidating, red breakdown) so you can read market posture at a glance
Why it matters:
Manually watching 20 pairs across 3 timeframes for structure breaks doesn't scale — this collapses that into a single glanceable view with alerting doing the watching for you, so you only look up when something's actually happening.
This dashboard sounds like a game-changer for traders—how does it handle false breakout alerts?