How to Read Options Volume vs Open Interest
· 7 min read
Master options volume vs open interest to distinguish between temporary intraday liquidity spikes and high-conviction institutional accumulation.
Read more →The GammaRips weekly briefing — engine state, the latest Lab experiment, and what the pool's outcome data showed. No firehose, no FOMO.
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Overnight Scan Record · Technology
See the 2026-10-09 Morning BriefingThis is one row from the GammaRips nightly scan of about 3,500 optionable US stocks, tracked to its outcome. What membership means depends on the scan date. For scan dates from 2026-08-24, it is a liquidity rank: the 100 most liquid names, bullish only. For earlier scan dates, the scan selected on unusual options activity and included bearish names. The two sets are not one population. Data, not a recommendation. New here? See how the pool is built → Or put your AI agent on this data →
Descriptive context. Not a quality rank and not a forecast.
Model-written context on what the scan saw that night. It is context, not advice and not a trade instruction.
T1 Energy Settles $25M Evervolt Payment with 7.2M Dilutive Shares Amid Ongoing G2 Facility Construction
The massive call option flow concentrated at the $4 strike appears before any formal announcement of G2 financing structures and is disproportionate to the recent equity-dilution slide, signaling an anticipatory, high-conviction bet on a recovery.
The GammaRips weekly briefing — engine state, the latest Lab experiment, and what the pool's outcome data showed. No firehose, no FOMO.
Plain-English explainers on the methodology behind signals like this one.
Master options volume vs open interest to distinguish between temporary intraday liquidity spikes and high-conviction institutional accumulation.
Read more →Learn how to build a custom Python MCP server to feed real-time options sweeps, blocks, and institutional flow directly to Claude Desktop and AI trading agents.
Read more →Understand the key differences of options block trade vs sweep. Learn how to track institutional smart money, filter noise, and spot aggressive orders.
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