alphagbm-unusual-activity

To detect unusual options activity for a specific ticker, scan for trades with abnormal volume, price movement, or open interest spikes. The tool flags these anomalies and classifies trade sentiment to surface smart-money signals.

Net premium flow reports the total dollar value of calls versus puts. Analyzing premium flow helps identify whether unusual options activity is predominantly bullish or bearish, providing insight into institutional positioning.

Yes, you can scan market-wide for smart-money signals across symbols like AAPL, NVDA, TSLA, and SPY. The analysis outputs a list of unusual activity with timestamps, per-trade sentiment, and a summarized smart-money score.

Sentiment classification labels unusual options trades as bullish sweep, bearish block, hedging, or earnings positioning. It evaluates volume, block trade size, and strike/expiry combinations to determine the intent behind the activity.

Yes, the analysis tracks historical signals and their directional success. Monitoring past unusual activity outcomes helps validate the reliability of current smart-money scores and trade classifications.

You do not strictly need real-time data to monitor block trades and volume spikes; the analysis applies to both real-time and mock data environments to identify unusual options activity and net premium flow.