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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...

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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 ↓
0:21

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

29,099 görüntüleme • 3 gün önce

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 ↓
0:40

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

130,988 görüntüleme • 2 gün önce

every day before market open, the CBOE publishes exactly where market makers are forced to buy and sell not a theory, not a pattern - a number that actually moves price it's called dealer gamma exposure - GEX - and it creates real price magnets quants have traded against for years here's why it works when you buy a call option, a market maker sells it to you and has to hedge that hedge shifts as price moves - they buy when it rises, sell when it falls negative GEX zones are where they sell into every rally, cap every breakout, crush every momentum move strikes with highest open interest aren't random - they're gravitational markets don't break through those levels cleanly because a billion-dollar dealer is actively hedging against it quants call them gamma walls data is free, published every morning on the CBOE site - no API, no Bloomberg terminal retail calls those same levels "resistance" and chalks it up to vibes bookmark this before it lost it's not vibes. it's math someone is paid $400k/year to understand while you do it by eyeball the whole time you thought technical analysis was detecting patterns you were just watching the shadow of dealer hedging and calling it insight
1:10

every day before market open, the CBOE publishes exactly where market makers are forced to buy and sell not a theory, not a pattern - a number that actually moves price it's called dealer gamma exposure - GEX - and it creates real price magnets quants have traded against for years here's why it works when you buy a call option, a market maker sells it to you and has to hedge that hedge shifts as price moves - they buy when it rises, sell when it falls negative GEX zones are where they sell into every rally, cap every breakout, crush every momentum move strikes with highest open interest aren't random - they're gravitational markets don't break through those levels cleanly because a billion-dollar dealer is actively hedging against it quants call them gamma walls data is free, published every morning on the CBOE site - no API, no Bloomberg terminal retail calls those same levels "resistance" and chalks it up to vibes bookmark this before it lost it's not vibes. it's math someone is paid $400k/year to understand while you do it by eyeball the whole time you thought technical analysis was detecting patterns you were just watching the shadow of dealer hedging and calling it insight

Livsun

70,716 görüntüleme • 2 ay önce

$SPX | $SPY Yesterday’s +3% was a gamma squeeze. And no, it wasn’t set for 6475 but for 6515. Here’s a replay of yesterday’s nodes on $SPX: 1) Around 11AM we noticed that 6515 Short Gamma node getting massive exposure. It’s the purple bar at the 6515 strike. And which I immediately called on the subs. Watch how price action behaves once this negative/short gamma appeared. 2) What mechanics occur when we see short gamma? Customers are net short options & dealers are the ones who bought those options, meaning that: Dealers are now long options. Long options = short gamma. And there is when their hedging flips and they have to do this exact thing: If price goes up dealers need to buy stock. If price goes down dealers need to sell stock. They need hedge WITH THE MOVE. They have to chase price. Not to pin it, not to control it. Yesterday was such a scenario, which we called to the exact moment it appeared. ✍🏻 If you want to know the exact levels dealers are hedged on, all you have to do is click the link in my bio and grab your Heatseeker as well. Best choice of your lives.
1:03

$SPX | $SPY Yesterday’s +3% was a gamma squeeze. And no, it wasn’t set for 6475 but for 6515. Here’s a replay of yesterday’s nodes on $SPX: 1) Around 11AM we noticed that 6515 Short Gamma node getting massive exposure. It’s the purple bar at the 6515 strike. And which I immediately called on the subs. Watch how price action behaves once this negative/short gamma appeared. 2) What mechanics occur when we see short gamma? Customers are net short options & dealers are the ones who bought those options, meaning that: Dealers are now long options. Long options = short gamma. And there is when their hedging flips and they have to do this exact thing: If price goes up dealers need to buy stock. If price goes down dealers need to sell stock. They need hedge WITH THE MOVE. They have to chase price. Not to pin it, not to control it. Yesterday was such a scenario, which we called to the exact moment it appeared. ✍🏻 If you want to know the exact levels dealers are hedged on, all you have to do is click the link in my bio and grab your Heatseeker as well. Best choice of your lives.

Han Akamatsu 赤松

100,261 görüntüleme • 5 ay önce

options market makers calculate a number every day that tells them whether to pin price or let it run retail has no idea it exists it's called net dealer gamma exposure. when they're long gamma, they hedge by selling rallies and buying dips - price gets pinned when short gamma, they hedge the opposite way - moves accelerate, break out, trend this isn't hidden data or a proprietary signal it's calculable from public cboe options chains, free, updated every morning crossover - where gamma flips zero - is your volatility regime indicator above it: suppression, below it: acceleration python + cboe feed + 200 lines of code to build it framework in academic papers since 2017, sitting in textbooks the whole time retail has been reading candles while market makers were reading their own hedging book Bookmark and reasearch it yourself same market. completely different game
0:35

options market makers calculate a number every day that tells them whether to pin price or let it run retail has no idea it exists it's called net dealer gamma exposure. when they're long gamma, they hedge by selling rallies and buying dips - price gets pinned when short gamma, they hedge the opposite way - moves accelerate, break out, trend this isn't hidden data or a proprietary signal it's calculable from public cboe options chains, free, updated every morning crossover - where gamma flips zero - is your volatility regime indicator above it: suppression, below it: acceleration python + cboe feed + 200 lines of code to build it framework in academic papers since 2017, sitting in textbooks the whole time retail has been reading candles while market makers were reading their own hedging book Bookmark and reasearch it yourself same market. completely different game

Livsun

59,146 görüntüleme • 3 ay önce

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.
0:30

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 görüntüleme • 1 ay önce

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
0:39

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

202,091 görüntüleme • 2 ay önce

a 25-delta put trades at 22% implied vol. the call at the same distance trades at 15% same index, same expiry, same distance from the money. 7 points apart black-scholes says that gap shouldn't exist the model assumes one volatility number for every strike σ constant across strikes and expiries. one distribution, lognormal returns, flat surface plot the real chain and you don't get a flat line you get a surface. tilted, curved, repricing every second that tilt has a name: skew and it's the closest thing markets have to a live fear gauge the reason it exists is structural, not a pricing error crashes are faster and deeper than rallies. returns have fat left tails so protection below the market costs more than the model says, because the model's normal distribution never priced the tail correctly this wasn't always true before october 1987 the surface was roughly flat. the crash rewrote it permanently one event taught the entire options market that the left tail is real, and the skew has never gone away since the measurement is simple: skew = IV(25-delta put) − IV(25-delta call) on the example above that's 22 − 15 = 7 points when that spread widens, demand for downside protection is rising. someone is paying up to hedge when it flattens, the bid for protection is fading same index level, same price on your chart, two completely different states of institutional fear the chart shows where price is. the surface shows what people are paying to be wrong and the shape carries more than direction steepness tells you how much tail risk is priced term structure tells you whether the fear is about this week or this quarter curvature tells you how much the market disagrees with its own base case retail sees one implied vol number on the option they're about to buy a desk sees a surface and trades the difference between its shape and what that shape usually looks like every input is public. the chain lists IV at every strike and expiry strike on one axis, expiry on another, IV on the third. the surface builds itself black-scholes won a nobel for a formula the market has been visibly disagreeing with since 1987 the disagreement is the signal full breakdown in the article below
0:58

a 25-delta put trades at 22% implied vol. the call at the same distance trades at 15% same index, same expiry, same distance from the money. 7 points apart black-scholes says that gap shouldn't exist the model assumes one volatility number for every strike σ constant across strikes and expiries. one distribution, lognormal returns, flat surface plot the real chain and you don't get a flat line you get a surface. tilted, curved, repricing every second that tilt has a name: skew and it's the closest thing markets have to a live fear gauge the reason it exists is structural, not a pricing error crashes are faster and deeper than rallies. returns have fat left tails so protection below the market costs more than the model says, because the model's normal distribution never priced the tail correctly this wasn't always true before october 1987 the surface was roughly flat. the crash rewrote it permanently one event taught the entire options market that the left tail is real, and the skew has never gone away since the measurement is simple: skew = IV(25-delta put) − IV(25-delta call) on the example above that's 22 − 15 = 7 points when that spread widens, demand for downside protection is rising. someone is paying up to hedge when it flattens, the bid for protection is fading same index level, same price on your chart, two completely different states of institutional fear the chart shows where price is. the surface shows what people are paying to be wrong and the shape carries more than direction steepness tells you how much tail risk is priced term structure tells you whether the fear is about this week or this quarter curvature tells you how much the market disagrees with its own base case retail sees one implied vol number on the option they're about to buy a desk sees a surface and trades the difference between its shape and what that shape usually looks like every input is public. the chain lists IV at every strike and expiry strike on one axis, expiry on another, IV on the third. the surface builds itself black-scholes won a nobel for a formula the market has been visibly disagreeing with since 1987 the disagreement is the signal full breakdown in the article below

delost

89,999 görüntüleme • 1 ay önce

This rally is being driven by forced buying. Hedgies were short. CTAs are being forced back in. It’s not people buying because they want to. It’s buying because they’re forced to. If the news flow deteriorates, the same people will have to sell it again. So the question is what happens when the flow stops. You’re not only trading market direction but instead this is more trading positioning. This is not where you want to be short gamma. I see it as: Deal gets done: market keeps ripping. Deal fails: market sells off. Supportive flows are fading. Event risk is rising. Do I want to be running short gamma into the weekend with Monday's straddle priced at less than 1%. Probably not. This is exposure to uncertainty, not a view.
0:24

This rally is being driven by forced buying. Hedgies were short. CTAs are being forced back in. It’s not people buying because they want to. It’s buying because they’re forced to. If the news flow deteriorates, the same people will have to sell it again. So the question is what happens when the flow stops. You’re not only trading market direction but instead this is more trading positioning. This is not where you want to be short gamma. I see it as: Deal gets done: market keeps ripping. Deal fails: market sells off. Supportive flows are fading. Event risk is rising. Do I want to be running short gamma into the weekend with Monday's straddle priced at less than 1%. Probably not. This is exposure to uncertainty, not a view.

Imran Lakha | Options Insight

54,357 görüntüleme • 4 ay önce

I built my own charting platform with Claude Fable, and it does a few things Tradingview straight up can't.. I call it EchoCharts.. so what it basically does is 1) Echoes: this is the big one. it takes the exact shape price action is forming right now them scans thousands of past candles, and finds every time the market looked just like this before. then it shows you what happened next. it'll tell you something like "20 matches, 30% closed higher 24 bars later, median -0.05%", and it draws those past paths forward on the chart so you see the full spread. 2) Sketch search: draw any shape with your mouse, and it finds where price actually did that in real history, then jumps you straight to it. great for the patterns you can feel but can't name. 3) Market clock: A 24-hour dial showing when this market actually moves. volatility, direction and volume, split by hour of the day and day of the week. so you stop trading dead hours and start trading when it counts. plus the basics done clean, candles, volume, a moving average, and RSI. So how it basically works is, it all runs on real binance data, 6,000 live candles.. Echoes matches the shape of the move using correlation, not the price level, so a setup today of bitcoin:native at $63K can match one from years ago at $10K and it only ever looks at fully finished history, it never peeks at the future, so the "what happened next" numbers stay honest. Now, Here’s how i built it: i described what i wanted and claude fable built it. plain javascript, the lightweight-charts library for the chart, around 700 lines, no framework. static site, opens in any browser. one thing i'll be straight about, echoes shows you what happened after similar setups in the past. that's history, not a prediction. it shows you the lay of the land, it doesn't call the future. might open-source the whole thing soon.
0:31

I built my own charting platform with Claude Fable, and it does a few things Tradingview straight up can't.. I call it EchoCharts.. so what it basically does is 1) Echoes: this is the big one. it takes the exact shape price action is forming right now them scans thousands of past candles, and finds every time the market looked just like this before. then it shows you what happened next. it'll tell you something like "20 matches, 30% closed higher 24 bars later, median -0.05%", and it draws those past paths forward on the chart so you see the full spread. 2) Sketch search: draw any shape with your mouse, and it finds where price actually did that in real history, then jumps you straight to it. great for the patterns you can feel but can't name. 3) Market clock: A 24-hour dial showing when this market actually moves. volatility, direction and volume, split by hour of the day and day of the week. so you stop trading dead hours and start trading when it counts. plus the basics done clean, candles, volume, a moving average, and RSI. So how it basically works is, it all runs on real binance data, 6,000 live candles.. Echoes matches the shape of the move using correlation, not the price level, so a setup today of bitcoin:native at $63K can match one from years ago at $10K and it only ever looks at fully finished history, it never peeks at the future, so the "what happened next" numbers stay honest. Now, Here’s how i built it: i described what i wanted and claude fable built it. plain javascript, the lightweight-charts library for the chart, around 700 lines, no framework. static site, opens in any browser. one thing i'll be straight about, echoes shows you what happened after similar setups in the past. that's history, not a prediction. it shows you the lay of the land, it doesn't call the future. might open-source the whole thing soon.

Axel Bitblaze 🪓

57,633 görüntüleme • 3 ay önce

IBM has smashed through its put wall on the downside and that put wall hasn’t rolled lower. So what that means is the options landscape is not shifting down with the price. That’s important. Normally if there was going to be continuation to the downside you would expect this put wall to roll lower to lower levels because people who have bought puts that have gone in the money are going to monetise them and then roll them down to even lower strikes because they think there’s more downside in the stock. When the stock is getting hit but the options landscape isn’t shifting with it, you have to ask whether the structure is changing even if price hasn’t. So the fact that the put wall was holding is somewhat supportive. That’s not really enough for me though. That’s where most people get this wrong: they focus on the move, not the positioning. If you’re chasing the move instead of understanding the "under-the-hood" vol dynamics, you’re missing a key part of the puzzle. Comment “IBM” and I’ll send the full trade idea.
0:53

IBM has smashed through its put wall on the downside and that put wall hasn’t rolled lower. So what that means is the options landscape is not shifting down with the price. That’s important. Normally if there was going to be continuation to the downside you would expect this put wall to roll lower to lower levels because people who have bought puts that have gone in the money are going to monetise them and then roll them down to even lower strikes because they think there’s more downside in the stock. When the stock is getting hit but the options landscape isn’t shifting with it, you have to ask whether the structure is changing even if price hasn’t. So the fact that the put wall was holding is somewhat supportive. That’s not really enough for me though. That’s where most people get this wrong: they focus on the move, not the positioning. If you’re chasing the move instead of understanding the "under-the-hood" vol dynamics, you’re missing a key part of the puzzle. Comment “IBM” and I’ll send the full trade idea.

Imran Lakha | Options Insight

56,800 görüntüleme • 6 ay önce

A+ NQ setup has exactly three parts. 1. Statistical bias: Probability Map shows 75%+ to one side. Not an opinion. Backtested across 10 years of NQ session data. That number narrows the playing field before price moves an inch. 2. The sweep: Liquidity is resting in the opposite direction. When price grabs it, that is not a fake-out. That is the fuel for the real move. You were expecting it. You were watching for it. 3. The entry model: After the sweep, the structure confirms. iFVG / CISD. A defined ICT concept with clear invalidation. Not a hope, not a gut feel. A model with a precise entry and a reason to be there. Probability tells you where. The sweep tells you when. The entry model tells you how. Remove any one of the three and you do not have an edge. You have a trade. How many of these boxes do you tick before you pull the trigger?
1:01

A+ NQ setup has exactly three parts. 1. Statistical bias: Probability Map shows 75%+ to one side. Not an opinion. Backtested across 10 years of NQ session data. That number narrows the playing field before price moves an inch. 2. The sweep: Liquidity is resting in the opposite direction. When price grabs it, that is not a fake-out. That is the fuel for the real move. You were expecting it. You were watching for it. 3. The entry model: After the sweep, the structure confirms. iFVG / CISD. A defined ICT concept with clear invalidation. Not a hope, not a gut feel. A model with a precise entry and a reason to be there. Probability tells you where. The sweep tells you when. The entry model tells you how. Remove any one of the three and you do not have an edge. You have a trade. How many of these boxes do you tick before you pull the trigger?

Herman Trading

20,079 görüntüleme • 3 ay önce

this model doesn't predict where the S&P 500 will go it predicts when the market's own velocity is about to collapse Z(x,y) = F(β, α, τ, ∇τ; x, y, t) one equation. four parameters. a 3D surface that maps how price momentum evolves across time and space β is drift velocity: μ/σ, the ratio of expected return to volatility when β is high the market is moving with conviction when β decays toward zero the trend is losing energy before the chart shows any sign of it α measures how fast that velocity is changing τ is the time structure of the regime ∇τ is the gradient, the rate at which the regime itself is shifting the 3D surface on screen is not decoration the red peaks are where momentum is concentrated and unstable the blue basin is where the system is calm and mean-reverting the yellow marker is where the S&P sat at the moment of the snapshot the model's output: position sizing optimization not buy or sell. how much exposure to hold given the current position on that surface the bottom chart shows it: blue line is the model, white line is buy & hold same asset, same period, different sizing at every point based on where the dynamics equation said the market was > time dynamics models: rooted in physics, applied to finance since the 1990s > drift-to-volatility ratio: standard risk metric at Two Sigma, AQR, Man Group > this exact framework: free, public, 60 seconds in this video > what retail uses instead: lagging indicators that measure the past, not the velocity of the present retail asks "is the market going up or down?" this model asks "how fast is the market's own energy decaying and where on the surface are we right now?" completely different question. completely different result full breakdown in the video below
1:01

this model doesn't predict where the S&P 500 will go it predicts when the market's own velocity is about to collapse Z(x,y) = F(β, α, τ, ∇τ; x, y, t) one equation. four parameters. a 3D surface that maps how price momentum evolves across time and space β is drift velocity: μ/σ, the ratio of expected return to volatility when β is high the market is moving with conviction when β decays toward zero the trend is losing energy before the chart shows any sign of it α measures how fast that velocity is changing τ is the time structure of the regime ∇τ is the gradient, the rate at which the regime itself is shifting the 3D surface on screen is not decoration the red peaks are where momentum is concentrated and unstable the blue basin is where the system is calm and mean-reverting the yellow marker is where the S&P sat at the moment of the snapshot the model's output: position sizing optimization not buy or sell. how much exposure to hold given the current position on that surface the bottom chart shows it: blue line is the model, white line is buy & hold same asset, same period, different sizing at every point based on where the dynamics equation said the market was > time dynamics models: rooted in physics, applied to finance since the 1990s > drift-to-volatility ratio: standard risk metric at Two Sigma, AQR, Man Group > this exact framework: free, public, 60 seconds in this video > what retail uses instead: lagging indicators that measure the past, not the velocity of the present retail asks "is the market going up or down?" this model asks "how fast is the market's own energy decaying and where on the surface are we right now?" completely different question. completely different result full breakdown in the video below

delost

72,436 görüntüleme • 2 ay önce

Someone ran Claude Code on an e-ink notebook and the slowest screen in the world suddenly turned out to be the best home for an AI that already thinks one word at a time. This is the reMarkable Paper Pro, a paper tablet for notes with no browser and no social media and not a single app. He went into it over SSH and brought up Claude Code on Opus 4.8 on Claude Max and typed right into the terminal on the paper screen: "hello reddit, this is ssh terminal on rmpp". For years this screen got slammed for one thing. E-ink is too slow and it draws with a delay and it ghosts and it is no good for real work. But Claude itself puts out a thought one word at a time. And here is what came out of it: the very thing that killed the paper screen for normal software lined up perfectly with the pace of the AI. There is no more lag because there is nothing left to lag. And then come the things no monitor can give you. Your eyes do not get tired. You can watch Opus think on max effort for an hour and it feels like reading a book and not staring into a backlight. Nothing distracts you. Not a single notification and not a single tab and just a cursor and an agent that writes code while you simply watch the page. The charge lasts for days. E-ink barely touches the battery so Claude can grind on a task all night long and the tablet is still alive by morning. And it weighs as much as a notebook. The whole work setup now fits into a bag like a notepad with a stylus on top. Everything on the screen is for real: Claude Code v2.1.162 and bypass permissions on and Opus going off to think on max effort right on the e-ink. In my opinion this is the most unexpected home for an AI this year. Not a farm of graphics cards and not a wall of monitors but a quiet sheet of paper on a coffee table where the most powerful Claude writes code one word at a time like a pen.
0:52

Someone ran Claude Code on an e-ink notebook and the slowest screen in the world suddenly turned out to be the best home for an AI that already thinks one word at a time. This is the reMarkable Paper Pro, a paper tablet for notes with no browser and no social media and not a single app. He went into it over SSH and brought up Claude Code on Opus 4.8 on Claude Max and typed right into the terminal on the paper screen: "hello reddit, this is ssh terminal on rmpp". For years this screen got slammed for one thing. E-ink is too slow and it draws with a delay and it ghosts and it is no good for real work. But Claude itself puts out a thought one word at a time. And here is what came out of it: the very thing that killed the paper screen for normal software lined up perfectly with the pace of the AI. There is no more lag because there is nothing left to lag. And then come the things no monitor can give you. Your eyes do not get tired. You can watch Opus think on max effort for an hour and it feels like reading a book and not staring into a backlight. Nothing distracts you. Not a single notification and not a single tab and just a cursor and an agent that writes code while you simply watch the page. The charge lasts for days. E-ink barely touches the battery so Claude can grind on a task all night long and the tablet is still alive by morning. And it weighs as much as a notebook. The whole work setup now fits into a bag like a notepad with a stylus on top. Everything on the screen is for real: Claude Code v2.1.162 and bypass permissions on and Opus going off to think on max effort right on the e-ink. In my opinion this is the most unexpected home for an AI this year. Not a farm of graphics cards and not a wall of monitors but a quiet sheet of paper on a coffee table where the most powerful Claude writes code one word at a time like a pen.

Blaze

422,760 görüntüleme • 2 ay önce

🚨 SPACEX IS DONE? It opened at $150, ripped to $225 in three days, and everyone called it the buy of the decade. Now it's at $145 - an all-time low, below the open, sitting a few dollars above the IPO price. Down 35% from the top. The chart isn't breaking. It already broke. And this was the easy part. Here's where it goes from here: $145 → $135 → $120 → $100 Why this has to happen the math is brutal and public: → Only ~4% of shares actually trade. Nasdaq bent the float rule just to let this listing through. → It got jammed into the indexes, and every passive fund on the planet was forced to buy near the top. → Insiders still hold 96% of the supply. → The first unlock hits on August 6 - right at Q2 earnings. About 20% of insider shares go free, and the float doubles overnight. → Then it doubles again through the fall, all the way to a full unlock. Sit with that. This entire 35% collapse happened on a tiny float, with no supply. The actual wall of stock hasn't even arrived yet. And look at the backdrop: Apple's printing new all-time highs while SPCX bleeds to fresh lows. That's not a market problem that's a SpaceX problem. The hype died, the capex is enormous, the valuation is priced at ~100x sales, and the unlock cliff is dead ahead. Everything I said would happen is happening. No surprises. The next leg is where the real money gets made but not on the long side yet. Save this. Turn on notifications. Or come back in 30 days wishing you had.
0:30

🚨 SPACEX IS DONE? It opened at $150, ripped to $225 in three days, and everyone called it the buy of the decade. Now it's at $145 - an all-time low, below the open, sitting a few dollars above the IPO price. Down 35% from the top. The chart isn't breaking. It already broke. And this was the easy part. Here's where it goes from here: $145 → $135 → $120 → $100 Why this has to happen the math is brutal and public: → Only ~4% of shares actually trade. Nasdaq bent the float rule just to let this listing through. → It got jammed into the indexes, and every passive fund on the planet was forced to buy near the top. → Insiders still hold 96% of the supply. → The first unlock hits on August 6 - right at Q2 earnings. About 20% of insider shares go free, and the float doubles overnight. → Then it doubles again through the fall, all the way to a full unlock. Sit with that. This entire 35% collapse happened on a tiny float, with no supply. The actual wall of stock hasn't even arrived yet. And look at the backdrop: Apple's printing new all-time highs while SPCX bleeds to fresh lows. That's not a market problem that's a SpaceX problem. The hype died, the capex is enormous, the valuation is priced at ~100x sales, and the unlock cliff is dead ahead. Everything I said would happen is happening. No surprises. The next leg is where the real money gets made but not on the long side yet. Save this. Turn on notifications. Or come back in 30 days wishing you had.

Shelpid.WI3M

356,362 görüntüleme • 2 ay önce

Let’s do a deep dive video recap on the $ZM flow that hit the unusual_whales 🐳 flow feed on 7/15 and recap it. We had a whale open 5,365 contracts at an average of $0.46 for $247,507 in premium. When we look at the raw flow feed, we see everything coming in at the ask, but what sticks out is the floor trade that comes in at the end, which came in above the ask and had a big spike in implied volatility. We also had three spikes in net call premium on 7/11, 7/14, and 7/15. These contracts made a move from $0.46 to a high of $0.67 within an hour for a 45.65% gain. We can see a majority of the volume carried over into 7/16, so we know this whale held a majority of their position. At open today, we can see a large red bid-side candle come in with 5,282 contracts traded at $0.60 for $315,097. This looks like a clean exit by the whale, closing out their contracts at a 30.43% win. This whale made roughly $75,000 on this trade. This is very textbook flow, with the spot price increasing, IV increasing, and net call premiums showing spikes.
8:03

Let’s do a deep dive video recap on the $ZM flow that hit the unusual_whales 🐳 flow feed on 7/15 and recap it. We had a whale open 5,365 contracts at an average of $0.46 for $247,507 in premium. When we look at the raw flow feed, we see everything coming in at the ask, but what sticks out is the floor trade that comes in at the end, which came in above the ask and had a big spike in implied volatility. We also had three spikes in net call premium on 7/11, 7/14, and 7/15. These contracts made a move from $0.46 to a high of $0.67 within an hour for a 45.65% gain. We can see a majority of the volume carried over into 7/16, so we know this whale held a majority of their position. At open today, we can see a large red bid-side candle come in with 5,282 contracts traded at $0.60 for $315,097. This looks like a clean exit by the whale, closing out their contracts at a 30.43% win. This whale made roughly $75,000 on this trade. This is very textbook flow, with the spot price increasing, IV increasing, and net call premiums showing spikes.

Anthony Sandford

208,218 görüntüleme • 1 yıl önce

every vol desk on wall street watches one number retail has never heard of gamma exposure - GEX when institutions buy options, market makers take the other side and hedge continuously by trading the underlying aggregate GEX tells you which direction those hedges point positive GEX: makers buy every dip, sell every rip - vol collapses, price pins between strikes negative GEX: makers sell into every dip, amplify every move - vol explodes, price runs further than it "should" flip in GEX sign precedes volatility regime change by 1-3 sessions, historically consistent data is on cboe's website, free, updated daily - open interest by strike for every listed option formula: sum(gamma x open_interest x spot^2 x 0.01) across all strikes and expirations 100 lines of python, tested back to 2018 regime classification: correct 79% of sessions you don't need perfect accuracy - size correctly when math confirms the regime and compounding does the rest bookmark this retail was watching RSI while market makers mechanically amplified every move edge was never secret. nobody told you the question to ask
0:30

every vol desk on wall street watches one number retail has never heard of gamma exposure - GEX when institutions buy options, market makers take the other side and hedge continuously by trading the underlying aggregate GEX tells you which direction those hedges point positive GEX: makers buy every dip, sell every rip - vol collapses, price pins between strikes negative GEX: makers sell into every dip, amplify every move - vol explodes, price runs further than it "should" flip in GEX sign precedes volatility regime change by 1-3 sessions, historically consistent data is on cboe's website, free, updated daily - open interest by strike for every listed option formula: sum(gamma x open_interest x spot^2 x 0.01) across all strikes and expirations 100 lines of python, tested back to 2018 regime classification: correct 79% of sessions you don't need perfect accuracy - size correctly when math confirms the regime and compounding does the rest bookmark this retail was watching RSI while market makers mechanically amplified every move edge was never secret. nobody told you the question to ask

Livsun

15,229 görüntüleme • 1 ay önce

TradingView can't replay the order book. It can't even rewind. Today, we are releasing Market Replay. In the clip, we replayed yesterday's CPI print release tick by tick. They replay the chart. We replay the market. It allows you to jump back in time and replay every candle, every order book tick, every liquidation, exactly as it happened. Pick any moment from years back. Scrub it like a video. What you will see is exactly what a live trader saw at that second. Here's what's inside: • The full order book, replayed. Rebuilt second by second at tick resolution: walls stacking, getting pulled, getting swept. • A real scrubber. Drag anywhere, both directions, instantly. Pause, step, or play at ten speeds from 0.25x to 30x. • Honest playback. Speed changes how fast you watch, never what happened. • Live data is gated out during replay. Replay is the only thing painting the chart. • 71 indicators replay in sync: CVD, open interest, funding, liquidations, footprint, volume delta, TPO, session profiles, VWAP, long/short ratios, ETF flows, dominance. • Your own scripts replay too, including ones built on orderbook and orderflow data. • Watch candles form: a 4h candle builds update by update, and at tick resolution second by second, with the book moving behind it. • Depth and liquidity readouts show the book as it stood at that moment, not now. • Years of candle and indicator history. Jump with the calendar or click any candle. Add an indicator mid-replay and it joins the timeline.
0:43

TradingView can't replay the order book. It can't even rewind. Today, we are releasing Market Replay. In the clip, we replayed yesterday's CPI print release tick by tick. They replay the chart. We replay the market. It allows you to jump back in time and replay every candle, every order book tick, every liquidation, exactly as it happened. Pick any moment from years back. Scrub it like a video. What you will see is exactly what a live trader saw at that second. Here's what's inside: • The full order book, replayed. Rebuilt second by second at tick resolution: walls stacking, getting pulled, getting swept. • A real scrubber. Drag anywhere, both directions, instantly. Pause, step, or play at ten speeds from 0.25x to 30x. • Honest playback. Speed changes how fast you watch, never what happened. • Live data is gated out during replay. Replay is the only thing painting the chart. • 71 indicators replay in sync: CVD, open interest, funding, liquidations, footprint, volume delta, TPO, session profiles, VWAP, long/short ratios, ETF flows, dominance. • Your own scripts replay too, including ones built on orderbook and orderflow data. • Watch candles form: a 4h candle builds update by update, and at tick resolution second by second, with the book moving behind it. • Depth and liquidity readouts show the book as it stood at that moment, not now. • Years of candle and indicator history. Jump with the calendar or click any candle. Add an indicator mid-replay and it joins the timeline.

OpenMarket

12,936 görüntüleme • 1 ay önce

🚨 S&P 500 VOLUME IS DISGUSTING 🚨 The price remains high - but nobody's really buying it Look at the left side of this chart - that's exactly what happened in early 2025 Quiet rally with no real volume. Then volume returned, triggering a major crash For now the right side is printing the same sequence - and we're sitting right where volume is starting to pick up again This is just a theory, not a fact, but you should still be prepared for it NOTIFS ON!
0:59

🚨 S&P 500 VOLUME IS DISGUSTING 🚨 The price remains high - but nobody's really buying it Look at the left side of this chart - that's exactly what happened in early 2025 Quiet rally with no real volume. Then volume returned, triggering a major crash For now the right side is printing the same sequence - and we're sitting right where volume is starting to pick up again This is just a theory, not a fact, but you should still be prepared for it NOTIFS ON!

NoName

541,826 görüntüleme • 4 ay önce

Someone gave GPT-6 and Fable 5.1 access to Canva. One smoked the other (it's not even close). Claude Fable 5.1 is on the left. GPT-6 Astra is on the right. The gap is not small. It comes down to one test (ARC-AGI 3). It drops a model into a game with no instructions and makes it work them out. Astra solved levels in fewer moves than you or I would, 96% of the time. Claude Opus 5 managed less than half of that. That's why everyone is shouting about AGI again. You can turn this on yourself in about two minutes: 1. Open the ChatGPT desktop app, switch to Work. 2. Go to Plugins, then Computer Use. Install it. 3. Switch on the server and skill toggles. 4. Allow Screen Recording and Accessibility. 5. Point it at one app and ask it do something. I wrote up the full Claude → Codex migration. Access it here → Repost ♻️ to help someone in your network.
0:21

Someone gave GPT-6 and Fable 5.1 access to Canva. One smoked the other (it's not even close). Claude Fable 5.1 is on the left. GPT-6 Astra is on the right. The gap is not small. It comes down to one test (ARC-AGI 3). It drops a model into a game with no instructions and makes it work them out. Astra solved levels in fewer moves than you or I would, 96% of the time. Claude Opus 5 managed less than half of that. That's why everyone is shouting about AGI again. You can turn this on yourself in about two minutes: 1. Open the ChatGPT desktop app, switch to Work. 2. Go to Plugins, then Computer Use. Install it. 3. Switch on the server and skill toggles. 4. Allow Screen Recording and Accessibility. 5. Point it at one app and ask it do something. I wrote up the full Claude → Codex migration. Access it here → Repost ♻️ to help someone in your network.

Charlie Hills

38,355 görüntüleme • 5 gün önce