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Tweets including Gamma
gammafund.eth (@Gammafund) deposited 5,480 $ETH worth $11.93M into #Binance# Address: 0xab7deb42caea381effe58e2f669fdefd555db698
Gamma insights translate options data into a market edge.
With Gamma, veteran music executive @LarryJackson is putting $1 billion to work for Black culture 💯 "He’s just able to bring things to life,” says @trvisXX of Billboard’s R&B/Hip-Hop executive of the year. Read his Billboard R&B/Hip-Hop Power Players cover story:
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Translating options market gamma into actionable intel!
Helios Markets is live. Real-time institutional gamma exposure for SPY + QQQ. The dealer hedging structure that actually moves markets. Free tier: regime + walls + zero gamma $299/mo: dealer flow + AI $1499/mo: forward hedge + full grid →
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BREX DATA: Heavy @Lovable users are 4x more likely to use @Replit, 5x @GammaApp + @WisprFlow, 5x @mobbin.
Stop trading blind. gives traders real-time market structure intelligence built around gamma exposure, dealer positioning, liquidity pressure, zero-gamma levels, and intraday regime shifts. Know where pressure is building. Know when momentum is shifting.
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Whales/institutions are panic-selling $ETH! Two wallets, possibly both linked to @Gammafund, deposited 10,976 $ETH($23.9M) into Binance over the past hour.
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Today, @NASA’s #MissionToPsyche# is getting a gravity assist from Mars on its journey to a metal-rich asteroid. The flyby will provide an opportunity to test and calibrate science instruments onboard, including the LLNL-built gamma ray sensor.
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$MU $DRAM $AMAT Interesting. Through-silicon via (TSV) technology is expanding to RDIMM modules to make them much faster. Micron Samples 256GB DDR5 RDIMMs at 9,200 MT/s for AI Servers, 40% Faster & More Power Efficient Built on Micron’s leading-edge 1-gamma DRAM process with advanced 3D stacking (3DS) and through-silicon vias (TSVs). Speed: Up to 9,200 MT/s — >40% faster than current volume production DDR5 server modules. Power efficiency: A single 256GB module consumes >40% less operating power than two 128GB modules (11.1W vs. 19.4W total). Targeted at AI/HPC workloads (large language models, agentic AI, real-time inference, high-core-count servers) to deliver higher capacity per socket while staying within data center power and thermal limits.
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