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🎦🍏 More Alpha beginners will love. Diving into the most intricate and complex financial products in the world, options. 📚 Options Functionality & Dealer Delta Hedging: Part 1 -What are Derivatives? -Options Functionality -Dealers & Market Makers -Bid/Ask Spread -Delta's Purpose #delta #options #optionstrading #derivatives #trading $spy $amc $gme $btc

Nicholas A. Pantano

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19,639 Aufrufe • vor 10 Monaten •via X (Twitter)

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YB Educational - Options Moving the Market (Oct '22-'25) 📚 Detailing the 3 ways market makers & dealers are moving the ETF's higher, regardless of low historically low institutional buying demand. The S&P 500 is up 212% from the Covid low, with all forms of injected monetary policy now drained (repo/QE). How?✍️🏻 Watch on YT and TT as well (linktree in bio) $spy #spy $amc #amc $gme #gme #btc #options #dealers #marketmakers #calls #puts

YB Educational - Options Moving the Market (Oct '22-'25) 📚 Detailing the 3 ways market makers & dealers are moving the ETF's higher, regardless of low historically low institutional buying demand. The S&P 500 is up 212% from the Covid low, with all forms of injected monetary policy now drained (repo/QE). How?✍️🏻 Watch on YT and TT as well (linktree in bio) $spy #spy $amc #amc $gme #gme #btc #options #dealers #marketmakers #calls #puts

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“Options are easier than you think.” Hendrik Ghys from Thalex joins the Insilico Terminal Podcast to talk about crypto options, volatility, market making, delta hedging, and why perps might not always be the best instrument for your trade. We covered Thalex, DeFi options, MOVE contracts, gamma squeezes, OPEX, selling vol, call spreads, straddles, and how traders can stop being scared of the options chain. 00:00 Intro: Hendrik Ghys from Thalex 01:47 Building a Crypto Options Exchange 06:15 Why Thalex Focused on Better Options Products 13:26 Why DeFi Options Are So Hard 16:53 Perps vs Options for Traders 30:13 How Options Market Makers Hedge 40:18 Selling Vol and Delta Hedging 49:34 Simple Options Rules for Retail Traders 55:16 Day Trading Options vs Perps 01:01:56 Learning Options by Doing

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BITCOIN JUST BROKE THE ETF INDUSTRY Eric Balchunas says in 20 years covering ETFs he’s never seen anything like this. BlackRock’s $IBIT hit $100B in roughly 400 days. The next fastest ETF to reach $100B was Vanguard’s $VOO -- and that took around 2,000 days. A 100-year-old industry, and the fastest product ever is a $BTC ETF. It gets deeper. $IBIT options are already among the top ETF options by volume, and Balchunas notes $IBIT options are now effectively the largest #Bitcoin options market in the world. That’s liquidity, derivatives depth, and institutional positioning forming at record speed. This isn’t hype. It’s structural demand flowing through regulated rails. When Bitcoin becomes the fastest scaling ETF product ever launched, you’re not watching a trend -- you’re watching financial infrastructure shift. 🌊

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There’s been a change in how Market Wide Position Limits (MWPL) are calculated for stock derivatives. Earlier, when a stock entered the F&O ban period for breaching MWPL, it was based on notional open interest (OI). From December 6, 2025, that method has changed. Instead of just counting contracts, exchanges now measure future-equivalent (delta-based) open interest. This changes how ban periods are triggered and how F&O positions can be adjusted once a stock is in the ban. In this video, Karthik Rangappa 🇮🇳 explains how the new delta-based OI framework works and what it means for futures and options traders.

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Zerodha

12,913 Aufrufe • vor 9 Monaten

Most crypto traders only know spot and perps. That’s a mistake. I finally spent time learning crypto options on Derive.xyz, and it’s one of the most underused tools in this market. Simple example: You’re long 1 BTC, bullish long-term, but don’t want to panic through a short-term drawdown. You buy a protective put. Downside is capped during the bar. Upside stays open unlike a perp short since you don't get liquidated for more than the cost. Your max loss is known in advance. This lets you hold spot through all the bear market drops without panic selling. Options are already massive in TradFi. In new financial markets like crypto, they always mature last. We’re already seeing: • Institutions driving options volume to ATHs • Volatility harvesting replacing Old “yield” strategies • Spot and perps infra reaching full saturation This is where crypto trading is heading. Just scratching the surface in this video 👇

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VirtualBacon

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implied vol was 11.42% on Feb 19, 2020 realized vol over the next 30 days: 95.33% the market was pricing a normal week. what actually happened was one of the most violent moves in financial history that gap between implied and realized volatility is the single most important number quant desks watch implied vol is what options are pricing in for the future realized vol is what actually happened when implied is far below realized, options are cheap relative to what the market will actually do when implied is far above realized, options are expensive relative to what the market will actually do that spread has a name: the volatility risk premium Citadel, Susquehanna, Optiver built entire options desks around one question: what's the expected value of shorting overpriced vol vs buying underpriced vol? the scatter plot in the video shows every data point over years of history regression line: y = -0.73x + 18.5% translation: when implied vol is low, realized vol tends to explode. when implied vol is high, realized vol tends to collapse that's mean reversion in volatility itself. not price. vol retail buys calls hoping the stock goes up quant desks measure whether the option itself is mispriced relative to statistical expectation, and trade the premium one is a directional bet the other is arbitraging the gap between what people expect and what actually happens > volatility risk premium: documented in academic literature since the 1980s > average VRP on S&P 500: implied vol overprices realized vol by 3-5% historically > data: free from CBOE, Yahoo Finance, options chains > implementation: 20 lines of Python Feb 19, 2020 was a warning the math had been printing for weeks nobody in retail was reading it full breakdown in the video below

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delost

28,202 Aufrufe • vor 3 Monaten

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1️⃣ How Hypersurface Actually Works There has been increasing interest in how on-chain options liquidity is created and how Hypersurface operates under the hood. 👇 This post breaks down the mechanics. - 2️⃣ How options liquidity works in traditional markets In OTC options markets, liquidity is not passive. When a user sells an option, a desk takes the other side and replicates the payoff through delta hedging. This process requires collateral to secure the position and capital to hedge directional exposure. If the user does not provide collateral, the desk must source capital externally. That cost of capital is embedded into pricing. The result is wider spreads and lower premiums for the user. - 3️⃣ What Hypersurface changes Hypersurface removes the dependency on external desks. Liquidity is created directly within the protocol. Instead of routing flow to third parties, the system prices the option, takes the position, and hedges exposure programmatically. - 4️⃣ Execution and hedging When a position enters the system, the protocol computes the delta of the position and executes a corresponding hedge directly on Hyperliquid. This is not manual execution. It is deterministic and contract-driven. - 5️⃣ Why Hyperliquid matters This architecture is enabled by Hyperliquid’s core EVM integration. It allows smart contracts to execute trades directly on the exchange without transferring funds to externally controlled accounts. This removes a critical trust assumption present in most systems. - 6️⃣ Fund custody and control. User funds remain within smart contracts at all times. There is no transfer to team-controlled wallets, no manual custody layer, and no off-chain execution dependency. All actions, including hedging and settlement, are executed at the contract level. - 7️⃣ What this enables. By internalizing liquidity and automating hedging, the system achieves tighter pricing, improved capital efficiency, and scalability without solely relying on external market makers. Market makers can participate to improve the quote, but they have to compete with the protocol, which results in better, more reliable prices for users. - 8️⃣ Context. In traditional and CeFi systems, similar strategies exist. However, they rely on centralized exchanges, custodial execution, and off-chain coordination. Hypersurface replicates these mechanics on-chain with reduced trust assumptions and full transparency. - 9️⃣ Conclusion. Liquidity is created within the protocol. Exposure is hedged programmatically. Funds remain in smart contracts. No intermediaries. No manual execution. This is how on-chain options infrastructure scales. - Join the Hypersurface community on Telegram or Discord! 📎 📎

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(FULL OF ALPHA) My appearance on stream today. We talked about the reflexive price loop Zcash [road to $1 trillion] is in and who's buying it, why Derive is the most underpriced derivatives protocol in crypto, and what the hell Pearl is 0:20 Crypto Twitter has no conviction 5:10 Zcash trillion dollar price loop 11:21 Ethereum is not money 19:19 who's actually buying Zcash? 24:53 the Derive bull case 33:27 HYPE can’t compete in options 38:28 Pearl is AI-secured Bitcoin 46:36 miners are switching to AI 49:09 a real man's coin

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Tulip King 🌷

49,756 Aufrufe • vor 17 Tagen

THIS IS F**KING DANGEROUS I GAVE CLAUDE ACCESS TO OPTIONS FLOW, ORDER BOOK DATA, AND GAMMA WALLS — AND IT STARTED CALLING LEVELS BETTER THAN I DO not a chart with two moving averages. not a “buy the dip” alert. this is a full institutional desk compressed into one AI session here’s what’s on the screen right now: → GEXRadar pulling Gamma Exposure across 44 strikes in real time → Delta Exposure flipping between bars and candles showing where dealer hedging shifts → Major Walls: call wall at $700 with +276M, put wall at $691 with -97M → Hedging Pressure gauge sitting at 48/100 — neutral, dealer flow balanced → Net Drift tracking $19.93B in calls against $32.39B in puts — put dominated → IV Surface Analysis rotating in 3D showing where volatility is mispriced by strike and expiry → MotiveWave footprint printing every bid and ask at every price level, tick by tick → DOM ladder on MNQ futures with live bid/ask stacking — 29,103.75 ask, 29,103.50 bid Claude reads all of it not the chart — the structure underneath the chart gamma exposure tells it where dealers are forced to buy or sell. delta exposure tells it which direction the hedging pressure is building. the wall map tells it where price stalls. the footprint tells it whether the move is real volume or just air entry: 1 contract MNQ at 29,054.75 TP set: 29,178.25 P&L climbs → +$64 → +$146 → +$167 the trade wasn’t a guess. the call wall at $700 held, hedging pressure was neutral, gamma flip sat at $698, and the footprint confirmed buyers absorbing every offer at the 29,050 level Claude saw the wall. saw the flow. saw the absorption. and said: this is the entry tested this setup with $100 starting capital — ended the session at $3,153 that’s not leverage doing the work. that’s an AI reading options structure, order flow, and gamma positioning simultaneously — something no human can do across 44 strikes in real time you’re still drawing trendlines Claude is reading the market’s skeleton save this — the full setup and session walkthrough is in the article below ↓

THIS IS F**KING DANGEROUS I GAVE CLAUDE ACCESS TO OPTIONS FLOW, ORDER BOOK DATA, AND GAMMA WALLS — AND IT STARTED CALLING LEVELS BETTER THAN I DO not a chart with two moving averages. not a “buy the dip” alert. this is a full institutional desk compressed into one AI session here’s what’s on the screen right now: → GEXRadar pulling Gamma Exposure across 44 strikes in real time → Delta Exposure flipping between bars and candles showing where dealer hedging shifts → Major Walls: call wall at $700 with +276M, put wall at $691 with -97M → Hedging Pressure gauge sitting at 48/100 — neutral, dealer flow balanced → Net Drift tracking $19.93B in calls against $32.39B in puts — put dominated → IV Surface Analysis rotating in 3D showing where volatility is mispriced by strike and expiry → MotiveWave footprint printing every bid and ask at every price level, tick by tick → DOM ladder on MNQ futures with live bid/ask stacking — 29,103.75 ask, 29,103.50 bid Claude reads all of it not the chart — the structure underneath the chart gamma exposure tells it where dealers are forced to buy or sell. delta exposure tells it which direction the hedging pressure is building. the wall map tells it where price stalls. the footprint tells it whether the move is real volume or just air entry: 1 contract MNQ at 29,054.75 TP set: 29,178.25 P&L climbs → +$64 → +$146 → +$167 the trade wasn’t a guess. the call wall at $700 held, hedging pressure was neutral, gamma flip sat at $698, and the footprint confirmed buyers absorbing every offer at the 29,050 level Claude saw the wall. saw the flow. saw the absorption. and said: this is the entry tested this setup with $100 starting capital — ended the session at $3,153 that’s not leverage doing the work. that’s an AI reading options structure, order flow, and gamma positioning simultaneously — something no human can do across 44 strikes in real time you’re still drawing trendlines Claude is reading the market’s skeleton save this — the full setup and session walkthrough is in the article below ↓

INSIDER

175,351 Aufrufe • vor 28 Tagen

susquehanna traded 2.7 billion options contracts in 2023. more than the entire US options industry traded in all of 2007. 3,200 people. 17 offices. estimated $7.2 billion in revenue. trading their own capital. they just put out a video of their mathematicians explaining how they actually think about markets. what they said: "finding patterns is easy. understanding that those patterns reflect something fundamental about data is challenging." on machine learning: "these black boxes find patterns, they make predictions. but these predictions are based in the data that they see, and not in the assumptions that may be true about the world." on AI: "AI itself is a superpower. the challenge is to develop new methodology to insert theory and assumption into the system." but the part that got me was the first twenty seconds. "markets are constantly generating information. people react to that information, they react to each other, and they adjust their behavior." "as a result, the signal is going to be weak. the noise is going to be enormous, and whatever patterns you're going to find might not persist for very long." one of the largest options market makers on earth saying, in their own video, that signal is often weak, the noise is enormous, and the patterns decay. make you understand why constant adapting and research is needed. trading is never a one and done.

susquehanna traded 2.7 billion options contracts in 2023. more than the entire US options industry traded in all of 2007. 3,200 people. 17 offices. estimated $7.2 billion in revenue. trading their own capital. they just put out a video of their mathematicians explaining how they actually think about markets. what they said: "finding patterns is easy. understanding that those patterns reflect something fundamental about data is challenging." on machine learning: "these black boxes find patterns, they make predictions. but these predictions are based in the data that they see, and not in the assumptions that may be true about the world." on AI: "AI itself is a superpower. the challenge is to develop new methodology to insert theory and assumption into the system." but the part that got me was the first twenty seconds. "markets are constantly generating information. people react to that information, they react to each other, and they adjust their behavior." "as a result, the signal is going to be weak. the noise is going to be enormous, and whatever patterns you're going to find might not persist for very long." one of the largest options market makers on earth saying, in their own video, that signal is often weak, the noise is enormous, and the patterns decay. make you understand why constant adapting and research is needed. trading is never a one and done.

Goshawk Trades

14,483 Aufrufe • vor 2 Monaten

a hotel front desk clerk in nashville figured out why markets move exactly when they do not direction, not news - the actual mechanism of why a move happens at all he works overnight shift, 11pm to 7am. lobby goes quiet after midnight, nothing but a monitor and a wifi connection question that started it: why does volatility cluster he'd read it in passing - options dealers cause price moves they didn't intend spent 6 hours across two nights searching, wrote everything into a google doc called "options thing" here's what he found when you buy a call option from a dealer, dealer has a new problem. they sold you the right to buy shares at a certain price if stock moves up, your option gains value and dealer owes you money. to protect themselves they have to buy shares immediately - no discretion, no delay amount they have to buy at every price level is published every second for free - it's open interest on the options chain. every brokerage shows it he built a spreadsheet every morning at 9:29am, one minute before open, he pulled SPY's options chain and calculated where dealers were most exposed marked strikes with heaviest call open interest. watched what happened in first 30 minutes of trading day 12 he stopped breathing for a second price moved to the strike with heaviest dealer exposure 73% of the time in the first 45 minutes not because of a chart pattern, not because of any signal because 400 dealers ran the same hedge calculation at open, and all of them had to buy the same shares at the same time he started calling it gravity price pulls toward certain strikes when dealer positioning is heavy enough - not prediction, mechanics math has a name: gamma exposure, or GEX SpotGamma built a whole company surfacing it. Squeeze Metrics published an academic paper on mechanics in 2018 python implementation is around 400 lines, nothing but the options chain you already have he built it in google colab over 3 weekends, free, working only on nights the lobby was empty tracked it against 60 days of live SPY data on negative GEX days - dealers short gamma, forced to amplify moves - average daily range expanded 2.8x on positive GEX days, 63% of sessions closed within half a percent of open this is not a signal. it's a regime classifier negative GEX: something moves big today, whichever direction gets started. buy straddles, size up, let dealers carry it positive GEX: nothing moves today. dealers kill every attempt before it gets 2 points sell premium, collect theta, sleep at month 4 he went live. $4,200 account, pure options, no directional bet six months later: $4,200 became $19,800 he still works overnight shift. told me about it in the lobby at 3am when i asked what he was typing google doc still says "options thing" - he never renamed it i asked why he never shared this. he looked at the lobby doors and said "who would believe a hotel clerk" data is free, formula is public, wall street has run this since 2017 they assumed retail would never think to read options flow as a mechanical map of where price has to go they were right about retail. they weren't right about him bookmark this and go build it market tells you exactly where it's going. you just have to stop reading the wrong layer Write your thought below

a hotel front desk clerk in nashville figured out why markets move exactly when they do not direction, not news - the actual mechanism of why a move happens at all he works overnight shift, 11pm to 7am. lobby goes quiet after midnight, nothing but a monitor and a wifi connection question that started it: why does volatility cluster he'd read it in passing - options dealers cause price moves they didn't intend spent 6 hours across two nights searching, wrote everything into a google doc called "options thing" here's what he found when you buy a call option from a dealer, dealer has a new problem. they sold you the right to buy shares at a certain price if stock moves up, your option gains value and dealer owes you money. to protect themselves they have to buy shares immediately - no discretion, no delay amount they have to buy at every price level is published every second for free - it's open interest on the options chain. every brokerage shows it he built a spreadsheet every morning at 9:29am, one minute before open, he pulled SPY's options chain and calculated where dealers were most exposed marked strikes with heaviest call open interest. watched what happened in first 30 minutes of trading day 12 he stopped breathing for a second price moved to the strike with heaviest dealer exposure 73% of the time in the first 45 minutes not because of a chart pattern, not because of any signal because 400 dealers ran the same hedge calculation at open, and all of them had to buy the same shares at the same time he started calling it gravity price pulls toward certain strikes when dealer positioning is heavy enough - not prediction, mechanics math has a name: gamma exposure, or GEX SpotGamma built a whole company surfacing it. Squeeze Metrics published an academic paper on mechanics in 2018 python implementation is around 400 lines, nothing but the options chain you already have he built it in google colab over 3 weekends, free, working only on nights the lobby was empty tracked it against 60 days of live SPY data on negative GEX days - dealers short gamma, forced to amplify moves - average daily range expanded 2.8x on positive GEX days, 63% of sessions closed within half a percent of open this is not a signal. it's a regime classifier negative GEX: something moves big today, whichever direction gets started. buy straddles, size up, let dealers carry it positive GEX: nothing moves today. dealers kill every attempt before it gets 2 points sell premium, collect theta, sleep at month 4 he went live. $4,200 account, pure options, no directional bet six months later: $4,200 became $19,800 he still works overnight shift. told me about it in the lobby at 3am when i asked what he was typing google doc still says "options thing" - he never renamed it i asked why he never shared this. he looked at the lobby doors and said "who would believe a hotel clerk" data is free, formula is public, wall street has run this since 2017 they assumed retail would never think to read options flow as a mechanical map of where price has to go they were right about retail. they weren't right about him bookmark this and go build it market tells you exactly where it's going. you just have to stop reading the wrong layer Write your thought below

Livsun

202,574 Aufrufe • vor 2 Monaten

Last year I sat in an office while a bunch of suits told me I was arrogant for daring to think differently. They wanted to build the 500th perp DEX, add an irrelevant minor technical differentiation, and spend a few years burning a bunch of tier-1 VC capital before the inevitable flop. It never ceases to amaze me that finance bros call themselves “masters of the universe” when they can’t even zoom out from the confines of their cubicles. “We've been in this game for more than 20 years, and you're not respecting our experience. You can't just re-imagine derivative trading from the ground up.” Well guess what motherfuckers… we just went and did exactly that. Tap Trading is derivatives reimagined from the ground up. Tap Trading is now the narrative for 2026. Tap Trading is the new form factor for retail. Tap Trading will bring the next wave of degenerates into our space. Tap Trading fixes onchain options. Tap Trading will save your marriage and make your kids respect you again. There’s a reason we have a million copycats before even launching… because this shit is the first real innovation in crypto derivatives since 10 years ago when BitMex first launched perps. We are almost ready for mainnet and I have never been so excited. Soon we will all be Tap Trading. I love you. We’re in this together. Lets go.

Last year I sat in an office while a bunch of suits told me I was arrogant for daring to think differently. They wanted to build the 500th perp DEX, add an irrelevant minor technical differentiation, and spend a few years burning a bunch of tier-1 VC capital before the inevitable flop. It never ceases to amaze me that finance bros call themselves “masters of the universe” when they can’t even zoom out from the confines of their cubicles. “We've been in this game for more than 20 years, and you're not respecting our experience. You can't just re-imagine derivative trading from the ground up.” Well guess what motherfuckers… we just went and did exactly that. Tap Trading is derivatives reimagined from the ground up. Tap Trading is now the narrative for 2026. Tap Trading is the new form factor for retail. Tap Trading will bring the next wave of degenerates into our space. Tap Trading fixes onchain options. Tap Trading will save your marriage and make your kids respect you again. There’s a reason we have a million copycats before even launching… because this shit is the first real innovation in crypto derivatives since 10 years ago when BitMex first launched perps. We are almost ready for mainnet and I have never been so excited. Soon we will all be Tap Trading. I love you. We’re in this together. Lets go.

Nathan Worsley ✨

36,436 Aufrufe • vor 7 Monaten

Our fearless leader fiddy.dime - priv/acc 🦡 sat down with Carl Bergman of Reverie for an action packed episode covering the dominance of perp dexes, the role of convexity, volatility and margin, building on Starknet (Privacy arc) 🥷 and competing in a really difficult and dynamic market. Lots of gems in here for anyone looking to learn more about building a derivatives exchange! 1️⃣ Commodities to crypto: Anand’s origin story 00:00 Paradigm’s role in birthing crypto options markets 05:00 FTX’s collapse and counterparty risk 06:30 Blockchains as trust machines, the birth of Paradex 2️⃣ Why do institutional liquidity networks exist? 08:07 What is an Institutional Liquidity Network? 10:06 Block trading for large and complex orders 12:40 How Paradigm killed the voice-brokers 3️⃣ The evolution of Crypto Derivatives markets 13:05 The rise and success of Perpetual swaps 15:32 Why perps killed options in crypto? 24:35 Is volatility a good thing? 27:00 How Paradex prevents “scam-wicks” 4️⃣ Why build Paradex? 31:00 Why build a decentralized perps exchange? 32:20 Custodial solutions are under attack 5️⃣ Why Starknet ? 34:00 Paradex as a high throughput Derivatives L2 35:10 Modular vs Monolithic 38:37 Paradex is the KILLER App! 🤙 6️⃣ Competing in a really difficult market 44:45 Are points the new meta? 45:30 Paradex Pro League 47:20 Addressing points fatigue via long-term PMF 7️⃣ GTM Sequencing and Points Program Design 52:40 Bootstrapping liquidity 54:20 Listing shitcoins VS blue chips 57:00 Pre-launch markets and innovation in Defi

Our fearless leader fiddy.dime - priv/acc 🦡 sat down with Carl Bergman of Reverie for an action packed episode covering the dominance of perp dexes, the role of convexity, volatility and margin, building on Starknet (Privacy arc) 🥷 and competing in a really difficult and dynamic market. Lots of gems in here for anyone looking to learn more about building a derivatives exchange! 1️⃣ Commodities to crypto: Anand’s origin story 00:00 Paradigm’s role in birthing crypto options markets 05:00 FTX’s collapse and counterparty risk 06:30 Blockchains as trust machines, the birth of Paradex 2️⃣ Why do institutional liquidity networks exist? 08:07 What is an Institutional Liquidity Network? 10:06 Block trading for large and complex orders 12:40 How Paradigm killed the voice-brokers 3️⃣ The evolution of Crypto Derivatives markets 13:05 The rise and success of Perpetual swaps 15:32 Why perps killed options in crypto? 24:35 Is volatility a good thing? 27:00 How Paradex prevents “scam-wicks” 4️⃣ Why build Paradex? 31:00 Why build a decentralized perps exchange? 32:20 Custodial solutions are under attack 5️⃣ Why Starknet ? 34:00 Paradex as a high throughput Derivatives L2 35:10 Modular vs Monolithic 38:37 Paradex is the KILLER App! 🤙 6️⃣ Competing in a really difficult market 44:45 Are points the new meta? 45:30 Paradex Pro League 47:20 Addressing points fatigue via long-term PMF 7️⃣ GTM Sequencing and Points Program Design 52:40 Bootstrapping liquidity 54:20 Listing shitcoins VS blue chips 57:00 Pre-launch markets and innovation in Defi

Paradex

11,258 Aufrufe • vor 2 Jahren

🚨XRP Futures Go 24/7 On CME TOMORROW — BIG INSTITUTIONS Can Trade NON-STOP! TRILLIONS ARE COMING 🤯🔥 CME Group — the LARGEST regulated derivatives exchange in the world — is OFFICIALLY launching: ✅ 24/7 crypto futures trading ✅ 24/7 crypto options trading ✅ NON-STOP institutional access to $XRP futures 🫣 Starting TOMORROW, institutions NO longer need to wait for markets to “reopen” after weekends. 😳 For YEARS… ⚠️ crypto traded 24/7 ⚠️ but Wall Street futures markets CLOSED on weekends ⚠️ causing the famous “CME gaps” and DELAYED institutional reactions Now CME is REMOVING that barrier. 👀🔥 CME confirmed: 👉 XRP Futures 👉 Micro XRP Futures CME says its crypto products already generated over: 💰 $3 TRILLION IN NOTIONAL VOLUME and now that market becomes ALWAYS OPEN AND TRILLIONS ARE COMING. 🚀🤑

🚨XRP Futures Go 24/7 On CME TOMORROW — BIG INSTITUTIONS Can Trade NON-STOP! TRILLIONS ARE COMING 🤯🔥 CME Group — the LARGEST regulated derivatives exchange in the world — is OFFICIALLY launching: ✅ 24/7 crypto futures trading ✅ 24/7 crypto options trading ✅ NON-STOP institutional access to $XRP futures 🫣 Starting TOMORROW, institutions NO longer need to wait for markets to “reopen” after weekends. 😳 For YEARS… ⚠️ crypto traded 24/7 ⚠️ but Wall Street futures markets CLOSED on weekends ⚠️ causing the famous “CME gaps” and DELAYED institutional reactions Now CME is REMOVING that barrier. 👀🔥 CME confirmed: 👉 XRP Futures 👉 Micro XRP Futures CME says its crypto products already generated over: 💰 $3 TRILLION IN NOTIONAL VOLUME and now that market becomes ALWAYS OPEN AND TRILLIONS ARE COMING. 🚀🤑

Diana

27,813 Aufrufe • vor 4 Monaten

MUST-WATCH: Why SIG Dominated Options Trading — Explained by an 8-Year Insider Kris Abdelmessih (Kris) spent 8 years trading energy derivatives at SIG, then ran options businesses at Parallax & Prime before founding Moontower —one of the world's most popular newsletters on options & volatility trading. "SIG understood there was an abnormal amount of edge in the market. They came from gambling—sports betting, poker—where edge was tiny. A bookie makes 5% margins. But trading a $2.5 call spread for $2.20 when it's worth $2.50? That's a ridiculous amount of edge compared to gambling, with the same risk distribution." We cover: - Why SIG was called "the evil empire" & how they crushed competitors by trading massive size for tighter spreads - The exact structure of prop shop deals: 50/50 splits, escrow accounts, how you get to 60% then 70% payouts - Why markets look efficient from most vantage points & how trading is ultimately about labor—getting your vantage point close enough that it stops looking random - The tyranny of beta: why the best operator in a melting ice cube business will lose to a mediocre performer in a great market - How to escape the "striver" trap & tune out status optimization (hint: find what you got obsessed with before college applications mattered) - Teaching his 12-year-old options market making & involving his 9-year-old in building a trading card game—scattered cards on the bedroom floor that'll become a finished product Thanks to Kris for the masterclass. Highlights: 02:05 How Kris first recognized real trading edge 04:01 How early market structure created easy edge 05:27 Why improvement in trading comes from hindsight 07:08 The core SIG frameworks that shaped his edge 09:37 Why uncovering edge requires labor and precision 11:02 How informed order flow forces trader humility 12:53 What truly differentiated SIG from competitors 13:23 How SIG built a world-class education pipeline 16:30 How SIG captured edge by refusing to hedge 18:11 How centralized risk controlled exposure and variance 19:09 How SIG used size and spreads to dominate markets 23:20 What Kris learned working with Jason McCarthy 25:40 Why elite traders share extreme competitiveness 26:06 How top performers operate across domains and PM roles 28:22 How Kris transitioned from SIG to prop trading 31:56 What shifting into senior roles taught him about trading 33:46 How Kris built training and feedback systems for traders 35:00 How the backer model works inside prop shops 38:41 How escrow capital protects traders from tail events 41:03 How natural gas options trading changed with regime shifts 42:13 How Kris applies trading edge concepts to life decisions 45:46 Why personal alignment beats chasing status in trading 47:13 How status games distort decision-making for young traders 52:23 Why striver behavior is actually risk management 56:27 How Kris teaches opportunity cost through parenting 1:01:28 How exposing kids to decisions builds intuition 1:04:46 How Kris teaches EV using homemade trading games 1:08:05 How iteration and feedback loops shape real learning

MUST-WATCH: Why SIG Dominated Options Trading — Explained by an 8-Year Insider Kris Abdelmessih (Kris) spent 8 years trading energy derivatives at SIG, then ran options businesses at Parallax & Prime before founding Moontower —one of the world's most popular newsletters on options & volatility trading. "SIG understood there was an abnormal amount of edge in the market. They came from gambling—sports betting, poker—where edge was tiny. A bookie makes 5% margins. But trading a $2.5 call spread for $2.20 when it's worth $2.50? That's a ridiculous amount of edge compared to gambling, with the same risk distribution." We cover: - Why SIG was called "the evil empire" & how they crushed competitors by trading massive size for tighter spreads - The exact structure of prop shop deals: 50/50 splits, escrow accounts, how you get to 60% then 70% payouts - Why markets look efficient from most vantage points & how trading is ultimately about labor—getting your vantage point close enough that it stops looking random - The tyranny of beta: why the best operator in a melting ice cube business will lose to a mediocre performer in a great market - How to escape the "striver" trap & tune out status optimization (hint: find what you got obsessed with before college applications mattered) - Teaching his 12-year-old options market making & involving his 9-year-old in building a trading card game—scattered cards on the bedroom floor that'll become a finished product Thanks to Kris for the masterclass. Highlights: 02:05 How Kris first recognized real trading edge 04:01 How early market structure created easy edge 05:27 Why improvement in trading comes from hindsight 07:08 The core SIG frameworks that shaped his edge 09:37 Why uncovering edge requires labor and precision 11:02 How informed order flow forces trader humility 12:53 What truly differentiated SIG from competitors 13:23 How SIG built a world-class education pipeline 16:30 How SIG captured edge by refusing to hedge 18:11 How centralized risk controlled exposure and variance 19:09 How SIG used size and spreads to dominate markets 23:20 What Kris learned working with Jason McCarthy 25:40 Why elite traders share extreme competitiveness 26:06 How top performers operate across domains and PM roles 28:22 How Kris transitioned from SIG to prop trading 31:56 What shifting into senior roles taught him about trading 33:46 How Kris built training and feedback systems for traders 35:00 How the backer model works inside prop shops 38:41 How escrow capital protects traders from tail events 41:03 How natural gas options trading changed with regime shifts 42:13 How Kris applies trading edge concepts to life decisions 45:46 Why personal alignment beats chasing status in trading 47:13 How status games distort decision-making for young traders 52:23 Why striver behavior is actually risk management 56:27 How Kris teaches opportunity cost through parenting 1:01:28 How exposing kids to decisions builds intuition 1:04:46 How Kris teaches EV using homemade trading games 1:08:05 How iteration and feedback loops shape real learning

Ethan Kho

233,306 Aufrufe • vor 7 Monaten

Option analysis and tooling is now improved on OpenMarket First: the GEX heatmap is now more accurate, and you can pick how it computes. Two modes: Dealer flow (new, the default): dealer positioning measured from the tape. Open interest (classic): the standard convention, dealers long calls, short puts. How the measured mode works: Every options trade has an aggressor and a quoter. Whoever crossed the spread is the customer. Whoever was quoting and got hit is the dealer. So every trade tells us what a dealer just took on: you buy a call, some dealer is now short that call. We add that up, trade by trade, contract by contract, and keep a running picture of what dealers are actually holding. Giant prints don't fool it. A block 25x the normal size is almost always two institutions moving a position between themselves, not a customer trading against a dealer, so it barely counts. The totals get sanity-checked against open interest every day (our estimate can't hold more contracts than actually exist), and when a contract expires, its position leaves the books, same as real life. And when we can't see enough, we say so. If our tape covers less than 60% of a contract's open interest, we don't pretend: that contract uses the classic assumption instead, and the chip on the chart shows exactly how much of the board is measured vs assumed. The two are never mixed inside one contract. In classic mode, a "wall" is just the strike with the most contracts outstanding. In dealer flow it's the strike where dealers actually have the most to hedge. Usually the same. When they differ, the measured one is the one that moves price. The rest of the update: Double-click any options panel and it takes over the chart. The IV smile expands to show every expiry with its date, the GEX curve gets a live readout of flip, walls, and totals. Drag the sensitivity slider and the heatmap re-colors under your cursor. No reload, no flash. The blocky look is gone: the surface now blends smoothly between strikes. Six new themes for every options panel, new heatmap palettes, and a little legend on the chart that always tells you what the colors mean. Live now.

Option analysis and tooling is now improved on OpenMarket First: the GEX heatmap is now more accurate, and you can pick how it computes. Two modes: Dealer flow (new, the default): dealer positioning measured from the tape. Open interest (classic): the standard convention, dealers long calls, short puts. How the measured mode works: Every options trade has an aggressor and a quoter. Whoever crossed the spread is the customer. Whoever was quoting and got hit is the dealer. So every trade tells us what a dealer just took on: you buy a call, some dealer is now short that call. We add that up, trade by trade, contract by contract, and keep a running picture of what dealers are actually holding. Giant prints don't fool it. A block 25x the normal size is almost always two institutions moving a position between themselves, not a customer trading against a dealer, so it barely counts. The totals get sanity-checked against open interest every day (our estimate can't hold more contracts than actually exist), and when a contract expires, its position leaves the books, same as real life. And when we can't see enough, we say so. If our tape covers less than 60% of a contract's open interest, we don't pretend: that contract uses the classic assumption instead, and the chip on the chart shows exactly how much of the board is measured vs assumed. The two are never mixed inside one contract. In classic mode, a "wall" is just the strike with the most contracts outstanding. In dealer flow it's the strike where dealers actually have the most to hedge. Usually the same. When they differ, the measured one is the one that moves price. The rest of the update: Double-click any options panel and it takes over the chart. The IV smile expands to show every expiry with its date, the GEX curve gets a live readout of flip, walls, and totals. Drag the sensitivity slider and the heatmap re-colors under your cursor. No reload, no flash. The blocky look is gone: the surface now blends smoothly between strikes. Six new themes for every options panel, new heatmap palettes, and a little legend on the chart that always tells you what the colors mean. Live now.

OpenMarket

21,251 Aufrufe • vor 2 Monaten

THIS IS INSANE — AN ANTHROPIC ENGINEER BUILT A CLAUDE CODE BOT THAT READS INSTITUTIONAL OPTIONS FLOW IN REAL TIME AND TURNED $200 INTO $14,300 TRADING ALONGSIDE THE BIGGEST ORDERS ON THE TAPE the bot doesn't predict. it stalks it reads thousands of institutional options orders streaming through SpotGamma — scores every block by size, direction, and how it historically moves price — then trades only when the heaviest hands on the tape are moving here's what's running on screen right now: → GEX Surface Analysis — 3D gamma exposure map rotating in real time, strike $8,168, GEX at 1.36B → MotiveWave footprint — ESU6 Range(20) with cumulative delta crashing to -9,500. every bid and ask printed at every level → SpotGamma Live Flow — institutional tape streaming tick by tick: SPX, QQQ, NVDA, AAPL, META, MSTR, NDX. strike, volume, premium — all live → GEXRadar — QQQ at $720.09, Hedging Pressure 53/100, Major Walls mapped, bullish flow → MNQU6 on mobile — Nasdaq 100 M1, bid 29,589 ask 29,591, TP set, P&L at +$109.50 when an institution drops $40K on SPX 7,740 calls or $28,639 on NDX puts — Claude sees it before FinTwit even screenshots it the bot makes only 10 trades per day not 50. not 100. ten. because Claude Code learned the edge isn't frequency — it's selectivity. large institutional block orders only and it exits early. before the institutions unwind. the same flow analysis that finds the entry also maps when large players historically take profit — the bot exits ahead of the crowd $200 in. $14,300 out. built by an engineer who used Claude Code to do what no dashboard can — read every institutional options order in real time and trade only when the biggest ones align you're watching one chart this bot is reading every block order on the tape to find the 10 setups that matter today save this — full setup breakdown below ↓

THIS IS INSANE — AN ANTHROPIC ENGINEER BUILT A CLAUDE CODE BOT THAT READS INSTITUTIONAL OPTIONS FLOW IN REAL TIME AND TURNED $200 INTO $14,300 TRADING ALONGSIDE THE BIGGEST ORDERS ON THE TAPE the bot doesn't predict. it stalks it reads thousands of institutional options orders streaming through SpotGamma — scores every block by size, direction, and how it historically moves price — then trades only when the heaviest hands on the tape are moving here's what's running on screen right now: → GEX Surface Analysis — 3D gamma exposure map rotating in real time, strike $8,168, GEX at 1.36B → MotiveWave footprint — ESU6 Range(20) with cumulative delta crashing to -9,500. every bid and ask printed at every level → SpotGamma Live Flow — institutional tape streaming tick by tick: SPX, QQQ, NVDA, AAPL, META, MSTR, NDX. strike, volume, premium — all live → GEXRadar — QQQ at $720.09, Hedging Pressure 53/100, Major Walls mapped, bullish flow → MNQU6 on mobile — Nasdaq 100 M1, bid 29,589 ask 29,591, TP set, P&L at +$109.50 when an institution drops $40K on SPX 7,740 calls or $28,639 on NDX puts — Claude sees it before FinTwit even screenshots it the bot makes only 10 trades per day not 50. not 100. ten. because Claude Code learned the edge isn't frequency — it's selectivity. large institutional block orders only and it exits early. before the institutions unwind. the same flow analysis that finds the entry also maps when large players historically take profit — the bot exits ahead of the crowd $200 in. $14,300 out. built by an engineer who used Claude Code to do what no dashboard can — read every institutional options order in real time and trade only when the biggest ones align you're watching one chart this bot is reading every block order on the tape to find the 10 setups that matter today save this — full setup breakdown below ↓

INSIDER

133,914 Aufrufe • vor 25 Tagen

THIS SHOULDN'T EXIST — CLAUDE INVENTED A STRATEGY THAT READS WHERE DEALERS ARE TRAPPED AND BUILT A BOT THAT TRADES IT AUTOMATICALLY Claude didn't just assist with the code. it analyzed how market makers hedge, mapped the gamma exposure structure, and designed the entire logic — then deployed it as a GEX bot that runs live on futures here's what it built and what's on the screen right now: $QQQ NET GEX open interest map for Jul 21 '26 — every strike from $682 to $722 broken down by puts and calls → call wall at $705 — massive green bar, +40M in gamma exposure. dealers are short calls here and will sell into any push above it → max pain at $701 — the price where options expire worthless and market makers keep the most premium → put wall at $700 — dealers are short puts here and will buy every dip into it → gamma flip at $697 — below this level dealers stop supporting and start accelerating the move down Claude saw something most traders miss: these four levels aren't random. they form a cage. price bounces inside it until expiry — and every bounce is a trade so it built a bot that does exactly that price pushes toward 29,300 — the bot reads the call wall, sees resistance, marks a sell. red circle on the chart. confidence scored price pulls back to 28,850 — the bot reads the put wall, sees support, marks a buy. blue circle. confidence scored and numbered every entry is based on where dealers are forced to hedge — not where retail draws a line the DOM ladder shows volume stacking at 29,057 and 29,069 — the bot sees the same clusters and times entries into them Claude designed the strategy. the GEX bot executes it on MotiveWave. NQU6 futures. QQQ at $705.61. the call wall is right above. the put wall is right below the bot doesn't predict where price goes — it trades the cage the dealers already built and profits from every bounce inside it you're guessing where support is Claude already knows — it read the options chain and told the bot exactly where dealers have to buy and where they have to sell save this — full setup and strategy breakdown below ↓

THIS SHOULDN'T EXIST — CLAUDE INVENTED A STRATEGY THAT READS WHERE DEALERS ARE TRAPPED AND BUILT A BOT THAT TRADES IT AUTOMATICALLY Claude didn't just assist with the code. it analyzed how market makers hedge, mapped the gamma exposure structure, and designed the entire logic — then deployed it as a GEX bot that runs live on futures here's what it built and what's on the screen right now: $QQQ NET GEX open interest map for Jul 21 '26 — every strike from $682 to $722 broken down by puts and calls → call wall at $705 — massive green bar, +40M in gamma exposure. dealers are short calls here and will sell into any push above it → max pain at $701 — the price where options expire worthless and market makers keep the most premium → put wall at $700 — dealers are short puts here and will buy every dip into it → gamma flip at $697 — below this level dealers stop supporting and start accelerating the move down Claude saw something most traders miss: these four levels aren't random. they form a cage. price bounces inside it until expiry — and every bounce is a trade so it built a bot that does exactly that price pushes toward 29,300 — the bot reads the call wall, sees resistance, marks a sell. red circle on the chart. confidence scored price pulls back to 28,850 — the bot reads the put wall, sees support, marks a buy. blue circle. confidence scored and numbered every entry is based on where dealers are forced to hedge — not where retail draws a line the DOM ladder shows volume stacking at 29,057 and 29,069 — the bot sees the same clusters and times entries into them Claude designed the strategy. the GEX bot executes it on MotiveWave. NQU6 futures. QQQ at $705.61. the call wall is right above. the put wall is right below the bot doesn't predict where price goes — it trades the cage the dealers already built and profits from every bounce inside it you're guessing where support is Claude already knows — it read the options chain and told the bot exactly where dealers have to buy and where they have to sell save this — full setup and strategy breakdown below ↓

INSIDER

29,416 Aufrufe • vor 26 Tagen