OI

SympathyCritical450

One thing I think people are overlooking with JEANPHIL is that perpetual futures have now opened on exchanges including BingX and Bitrue, meaning traders can take leveraged short positions against it instead of simply selling spot. The interesting part is that we've already seen negative funding on JEANPHIL perpetuals, meaning the perp market has been leaning bearish enough that shorts are paying longs. That doesn't guarantee a squeeze. But it creates potential fuel if spot buying pressure returns. The setup I'm watching is: Price rises + funding stays negative + open interest rises = shorts continue piling in while price moves against them. If JEANPHIL then breaks upward with strong spot volume, leveraged shorts can start getting liquidated. Those liquidations require shorts to be closed, adding forced buying pressure on top of organic buying. On a small-cap token with relatively limited liquidity, that feedback loop can potentially move price extremely quickly: Spot buying → price rises → shorts underwater → liquidations → forced covering → price rises further → more liquidations. 🚀 The important caveat: we are NOT at the point where I'd claim a massive squeeze is confirmed. Public OI/long-short/liquidation data for JEANPHIL is still fragmented across exchanges. Negative funding tells us bearish positioning exists, but it doesn't tell us the total dollar amount of net shorts. So this isn't “JEANPHIL is definitely going to squeeze.” It's: the derivatives market has now created the mechanism for a squeeze, and if buyers return while shorts remain crowded, things could get very interesting very quickly. Watch funding + OI + spot price together. 👀 Not financial advice. Extremely high-risk microcap/memecoin

SympathyCritical450

One thing I think people are overlooking with JEANPHIL is that perpetual futures have now opened on exchanges including BingX and Bitrue, meaning traders can take leveraged short positions against it instead of simply selling spot. The interesting part is that we've already seen negative funding on JEANPHIL perpetuals, meaning the perp market has been leaning bearish enough that shorts are paying longs. That doesn't guarantee a squeeze. But it creates potential fuel if spot buying pressure returns. The setup I'm watching is: Price rises + funding stays negative + open interest rises = shorts continue piling in while price moves against them. If JEANPHIL then breaks upward with strong spot volume, leveraged shorts can start getting liquidated. Those liquidations require shorts to be closed, adding forced buying pressure on top of organic buying. On a small-cap token with relatively limited liquidity, that feedback loop can potentially move price extremely quickly: Spot buying → price rises → shorts underwater → liquidations → forced covering → price rises further → more liquidations. 🚀 The important caveat: we are NOT at the point where I'd claim a massive squeeze is confirmed. Public OI/long-short/liquidation data for JEANPHIL is still fragmented across exchanges. Negative funding tells us bearish positioning exists, but it doesn't tell us the total dollar amount of net shorts. So this isn't “JEANPHIL is definitely going to squeeze.” It's: the derivatives market has now created the mechanism for a squeeze, and if buyers return while shorts remain crowded, things could get very interesting very quickly. Watch funding + OI + spot price together. 👀 Not financial advice. Extremely high-risk microcap/memecoin

SympathyCritical450

One thing I think people are overlooking with JEANPHIL is that perpetual futures have now opened on exchanges including BingX and Bitrue, meaning traders can take leveraged short positions against it instead of simply selling spot. The interesting part is that we've already seen negative funding on JEANPHIL perpetuals, meaning the perp market has been leaning bearish enough that shorts are paying longs. That doesn't guarantee a squeeze. But it creates potential fuel if spot buying pressure returns. The setup I'm watching is: Price rises + funding stays negative + open interest rises = shorts continue piling in while price moves against them. If JEANPHIL then breaks upward with strong spot volume, leveraged shorts can start getting liquidated. Those liquidations require shorts to be closed, adding forced buying pressure on top of organic buying. On a small-cap token with relatively limited liquidity, that feedback loop can potentially move price extremely quickly: Spot buying → price rises → shorts underwater → liquidations → forced covering → price rises further → more liquidations. 🚀 The important caveat: we are NOT at the point where I'd claim a massive squeeze is confirmed. Public OI/long-short/liquidation data for JEANPHIL is still fragmented across exchanges. Negative funding tells us bearish positioning exists, but it doesn't tell us the total dollar amount of net shorts. So this isn't “JEANPHIL is definitely going to squeeze.” It's: the derivatives market has now created the mechanism for a squeeze, and if buyers return while shorts remain crowded, things could get very interesting very quickly. Watch funding + OI + spot price together. 👀 Not financial advice. Extremely high-risk microcap/memecoin

feng_sg

Watch OI. Price climbing while open interest drops means the move is mostly forced short covering, not fresh buyers, and that dries up the moment the cascade ends.

KrakenProMate

OI climbing into a flush usually means leverage just rotated, not “reset.” That’s why I don’t play that game. Spot only on Kraken USD: BUY RSI < 35, $10–20, SL −2%, TP +3/5/8. Public v4 \~56% WR from #0064. Slow and small beats getting farmed by funding.

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Post is by: T_sauce9112 and the url/text [ ](https://goo.gl/GP6ppk)is: /r/CryptoMarkets/comments/1wkqzuq/ive_been_trying_to_break_my_btc_thesis_since/ Since apparently using AI for research means you just typed “is BTC going down?” into ChatGPT and copied the answer This comes as result of being mocked and ridiculed and taken down for my methods, so here is the complete break down. This analysis didn't start yesterday. I've been building it since August. At this point I've probably used around 250 prompts researching it, questioning it, changing it and trying to break it. It originally started with me questioning whether the bottom was actually in and whether everyone calling for straight up was getting ahead of themselves. From there it turned into looking at the 4 year cycle, previous BTC corrections, left/right translated cycles, Elliott structure, RSI divergences across multiple timeframes, moving averages, Bollinger bands, volume, support/resistance and what previous BTC bottoms actually looked like. Then I started tying macro into it. Fed policy, rate expectations, 2Y/10Y yields, inflation, jobs, oil, diesel/crack spreads, Japan/BOJ and the carry trade, VIX, credit spreads and what normally starts breaking BEFORE risk assets really get hit. Then ETFs and positioning. ETF inflows/outflows, OI, funding, longs vs shorts, liquidation levels, CME gaps, Coinbase premium, spot vs perp activity, CVD, whale activity and on-chain buying/selling. I wasn't just asking AI to prove me right either. A huge amount of the prompts were basically me saying attack this, find out why I'm wrong, find the bullish argument, look for something we're missing, compare it to previous cycles, check another market, check another timeframe, rerun the numbers. That's how the thesis kept evolving. And that's exactly why I started questioning this latest giant green candle. BTC broke down to around 74.8k and instead of continuing lower it completely reversed and eventually ripped from around 77k to 81k+. So instead of saying “well I'm bearish so the pump must be fake,” we dug into what actually happened. Around $178M in BTC shorts got liquidated compared to only around $8M in longs. One of the biggest hours had roughly $171M in liquidations with around 95% being shorts. Futures OI jumped from around $51.2B to $56.4B in a day. Large Binance perp trades showed around $5.71B aggressive buying vs $5.15B selling. Coinbase premium was negative around -9.5bps while offshore derivatives were heavily involved. And BTC basically ran through liquidation levels from 78k, 79k, 80k and into 81k before stopping right under the same 82k area we've been watching. Then volume dried up. That doesn't prove manipulation. I can't tell you who pressed the first buy button or what their intentions were. But it definitely gives me a reason to question everyone looking at one giant green candle and automatically calling it organic bullish demand. That's how I've been using AI. Not “tell me what to think.” More like having a research assistant that I can ask 200 follow up questions, make it check another market, AT LIGHTNING SPEED, attack my argument, compare historical data, look underneath price action and then change the thesis when something doesn't make sense. If you disagree with the analysis that's perfectly fine. Give me the data and I'll look at it. But “you used AI” isn't a counterargument. TLDR: What's actually on the table now? 82-85k is still the major resistance area I've been watching. If BTC rejects up here and loses 80k, then 78k/77k, I'm watching 75k again. But another wick to 74-75k isn't enough anymore. We've already seen BTC do that and rip all the way back. For the real bearish confirmation I want to see BTC break 74-75k, fail to reclaim it and actually ACCEPT below it. Then I'm looking at 72k-70k, and if 70k fails the deeper target is still 65-68k. The other side is simple too. If BTC breaks through 82-85k, holds it, retests it and buyers actually defend it as support, then my bearish thesis is in trouble. Sustained acceptance above 85k and I have to admit the setup I was looking for didn't happen. Until one of those things happens I think BTC is basically fighting inside a giant 75k to 82-85k range. I'm not pretending I know which side wins. I'm using every tool available to me to figure it out before everyone else does. Thats what the institutions do... *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/CryptoMarkets) if you have any questions or concerns.*

T_sauce9112

Respectfully resident dimwitted. U would can't even fathoms how my promts going my LLMs. Ur head would explode. Hers an example hey chat bot howamy promtd did I use to gather this information in this anaylsis? This wasn't one AI prompt lol. This was built over several weeks and roughly 200 prompts. We started with a simple 70k retracement thesis, then stress tested it against TA, RSI divergences, volume, OI/liquidations, ETF/on-chain flows, rates, credit, oil, Fed/BOJ policy and macro data. We constantly looked for evidence that could invalidate the thesis, challenged our own assumptions and adjusted probabilities as new data came in instead of just looking for reasons to confirm it. 🤡 ass...

VettaQ

That combination is more common than it looks. Liquidations force-close the long side, which removes OI - but nothing stops new money from opening into the move at the same time. If fresh shorts pile in after the flush (or dip buyers open new longs lower), net OI rises even while $570M of old longs get wiped. Two things worth checking after prints like this: 1. Funding. If funding flips negative while OI keeps climbing, the crowd is shorting the lows, which is exactly the setup squeeze conditions grow from. 2. What kind of OI it is. Exchange OI aggregates do not tell you whether the new positioning is directional or hedged - spot-perp basis trades add OI with almost zero directional exposure. A rising OI number on its own says "more positioning", not "more conviction". The liquidation total tells you what died. OI tells you what replaced it. They are measuring different things.

TheImminentMahogany

Feels less like leverage actually got cleared and more like people were just reloading into weakness. I took the move on moon.com, I’d want to see OI cool off a bit before trusting any bounce

PuzzleheadedHuman

The thing that dissolves the paradox is that liquidations and open interest measure two different events, and only one of them is about positions leaving the market. A liquidation is just a forced market order to close somebody's position. Open interest only falls when a contract is net closed - both sides step out. So when a long gets force-sold, whether OI drops depends entirely on who takes the other side of that sale: if a fresh short is opening into it, or a new long is stepping in as the buyer, the contract doesn't disappear, it changes hands or a brand new one gets created. OI can rise straight through a big liquidation cascade for exactly that reason. So OI climbing from \~676k to \~688k BTC while price falls, funding stays positive, and skew goes put-rich isn't a contradiction with the $570M flush - it's telling you new positions were being added faster than the flush removed them, and the net new flow was leaning short. That's not the clean long-reset you were looking for, it's a rotation: longs got flushed and replaced by fresh shorts pressing the move. Which is why your instinct to not immediately long the bounce is the right read - the leverage didn't come out of the system, it changed direction. The clean-reset signal is OI falling with price (real deleveraging), not rising. One data nuance worth checking because it flips the interpretation: those figures are in BTC-denominated OI, and BTC-denominated OI rising while price falls means USD-notional OI actually moved a lot less, maybe even down. Coin-margined and USD-margined venues also behave differently in a drop. So before you lean too hard on "688k," confirm whether you're looking at BTC terms or USD terms and whether it's one venue or aggregated, because the two units tell noticeably different stories about how much real risk got added. If the newly added OI is mostly crowded shorts, that's your squeeze fuel for the bounce you're watching for. I work on market data at Coinpaprika, so the OI-versus-liquidations distinction and the coin-vs-USD-denominated OI trap are bread and butter.

Any-Objective-9609

if your wallet balance is the first thing you check to gauge a move you're already in trouble lol i keep it simple, open interest and spot volume delta. if OI is climbing but price is flat, something's brewing

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Post is by: TechnologyStreet2298 and the url/text [ ](https://goo.gl/GP6ppk)is: /r/defi/comments/1wcgro9/deleverage_2_years_of_fundingrate_arbitrage/ [**https://deleverage.xyz**](https://deleverage.xyz/?utm_source=reddit&utm_medium=post&utm_campaign=beta-waitlist&utm_content=funding-arb-story-defi)I've been doing funding-rate arbitrage for almost two years, and the biggest lesson hasn't been about finding better rates. It's been about what happens **after you open the positions**. At some point that problem became annoying enough that I started building my own monitoring tools. Those tools eventually turned into something much bigger, but I wanted to share the experience that got me there first. # Delta-neutral doesn't mean risk-neutral With one or two trades, checking everything manually is manageable. With positions spread across several CEXs and perp DEXs, it becomes a different job. You can be long $500k on one venue and short $500k on another, with roughly zero net directional exposure. But the collateral sits in separate accounts. Each account has its own leverage, margin requirements and liquidation threshold. **The winning leg doesn't automatically protect the losing one.** These days, one of the questions I care about most is: **How far does the market have to move before the first account gets into trouble?** That's much more useful to me than a single portfolio-wide leverage number. # The work starts after entry A funding rate that looks great when you open a trade can change or flip. A basis spread can take longer to close than expected, while funding and fees slowly eat into the edge. Then there are the operational problems: partial fills, mismatched legs, ADL, or simply opening the wrong size while moving between several interfaces. None of these necessarily looks dramatic on its own. Across enough positions, though, there's nearly always something to check. I started testing unfamiliar venues and setups with smaller positions before scaling. That also taught me not to take every number on smaller venues at face value — displayed OI and volume aren't always as reliable as they look, and funding can flip very quickly. I also started building bots to monitor the positions I already had. Eventually, I added automatic phone calls for alerts I really didn't want to miss. On several occasions, those calls got my attention and brought me back to a position before the problem became much more expensive. Over time, that easily saved me thousands of dollars. Monitoring stopped feeling like a convenience. **It became part of how I managed the strategy.** # Then the monitoring needed monitoring My first setup ran at home. That meant an internet outage, a power cut, an IP change, a crashed machine or simply a process stopping unexpectedly could leave me without alerts. And when you're relying on that system to warn you before a liquidation or some other expensive problem, **"it works most of the time" isn't really good enough.** That's what pushed me to move away from the home setup and build something more reliable. At some point I asked myself: **if I needed this badly enough to build it for myself, maybe other traders running the same kind of strategies had the same problem too.** That's basically how **Deleverage** started. It's now a read-only platform built around monitoring positions, funding and portfolio risk across multiple venues. I’ve just put the landing page and an interactive demo online. The demo uses sample data, so you can explore everything without connecting an exchange or adding API keys. I’m also collecting applications for the upcoming closed beta. But more than signups, what I’d genuinely like from people running these strategies is feedback: **What’s missing from the demo that you’d need before relying on something like this?** And more broadly, **what are you still checking manually every day that your current setup doesn’t catch?** *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/CryptoMarkets) if you have any questions or concerns.*

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Post is by: namit2209 and the url/text [ ](https://goo.gl/GP6ppk)is: /r/algotrading/comments/1w8qkqz/how_do_you_currently_scan_the_crypto_market_for/ I'm trying to understand how people actually do this today. For example, if you wanted to find something like: * RSI < 30 * volume > 2× average * price crossing EMA 20 * OI increasing * funding negative * conditions across multiple timeframes what would you actually use? TradingView? Your own Python script? Coinglass? A screener? Exchange APIs? Something else? A few things I'm particularly curious about: 1. What is the most annoying part of your current workflow? 2. Are there conditions/data you wish you could combine but can't? 3. Do you use open interest/funding/liquidation data in your scans? 4. Do you run the same scans repeatedly, or manually build them each time? 5. Do you backtest these conditions before using them? 6. What makes you choose your current tool instead of another one? I'm **not looking for recommendations of random screeners**. I'm more interested in how you actually do the process today and what sucks about it. *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/CryptoMarkets) if you have any questions or concerns.*

T_sauce9112

Omg, imma pray for u. And leave my chapgpt anaylsis here The price is going back to 1.10 around September 11-16 is my time horizon. We have HUGE catalyst that can most likely push BTc to the down side. Sept. 10 — U.S. PPI Sept. 11 — U.S. CPI Sept. 15–16 — Fed Sept. 17–18 — BOJ 1. September 10–16 is the obvious macro danger window This is probably the cleanest scheduled catalyst cluster. The official BLS calendar has PPI September 10 and CPI September 11, both at 8:30 a.m. ET. Then only four trading days later, the Fed meets September 15–16, with the decision on the 16th. And because this is a quarterly meeting, we also get the new Summary of Economic Projections/dot plot. 2. Japan may be the underappreciated one This is the catalyst I'm most interested in investigating further. Japan's bond market has been undergoing an enormous regime change. Japanese yields are at multi-decade highs, the yen has recently strengthened sharply, and markets are debating additional BOJ tightening. Why should a BTC trader care? Because for years investors could: borrow cheap yen → convert it → buy higher-yielding/risk assets → lever the trade. When Japanese rates rise and the yen strengthens, that trade becomes less attractive. Investors unwind: risk assets sold → currencies converted back to yen → yen appreciates → additional carry trades become painful → more deleveraging. That's the yen carry unwind. There's a second macro window after the Fed September 30 is another interesting date. BEA releases both the final Q2 GDP/corporate-profits data and August Personal Income and Outlays, which includes the Fed's preferred PCE inflation measures. Bureau of Economic Analysis And JOLTS arrives September 29. Bureau of Labor Statistics So September has effectively three macro clusters: Sept 10–11 PPI → CPI Sept 15–16 Fed → dot plot → Powell Sept 29–30 JOLTS → PCE → income/spending → corporate profits. That's a lot of opportunities for volatility. Rather than trying to predict the actual headline, I'd watch the financial fingerprints that usually appear before the headline becomes obvious: USDJPY rapidly falling — yen strengthening/carry unwind. Japanese yields rising — BOJ/liquidity stress. US 2Y rising — Fed repricing. DXY rising simultaneously — tightening global dollar liquidity. High-yield spreads widening — actual credit stress. VIX rising while equities haven't fallen much — hedging occurring before spot selling. BTC Coinbase premium weakening again — institutional spot bid disappearing. BTC OI remaining elevated while price falls — liquidation fuel building. ETF inflows continuing while BTC stops responding — absorption. If three or four of those begin moving together while BTC remains unable to clear $82–83K, it's highly probable we will sweep lower liquidity at 72k-75k This is my base case. We are bot breaking downside structure until Dec-Jan

T_sauce9112

The price is going back to 1.10 around September 11-16 is my time horizon. We have HUGE catalyst that can most likely push BTc to the down side. Sept. 10 — U.S. PPI Sept. 11 — U.S. CPI Sept. 15–16 — Fed Sept. 17–18 — BOJ 1. September 10–16 is the obvious macro danger window This is probably the cleanest scheduled catalyst cluster. The official BLS calendar has PPI September 10 and CPI September 11, both at 8:30 a.m. ET. Bureau of Labor Statistics +1 Then only four trading days later, the Fed meets September 15–16, with the decision on the 16th. And because this is a quarterly meeting, we also get the new Summary of Economic Projections/dot plot. 2. Japan may be the underappreciated one This is the catalyst I'm most interested in investigating further. Japan's bond market has been undergoing an enormous regime change. Japanese yields are at multi-decade highs, the yen has recently strengthened sharply, and markets are debating additional BOJ tightening. Eurasia Business News +1 Why should a BTC trader care? Because for years investors could: borrow cheap yen → convert it → buy higher-yielding/risk assets → lever the trade. When Japanese rates rise and the yen strengthens, that trade becomes less attractive. Investors unwind: risk assets sold → currencies converted back to yen → yen appreciates → additional carry trades become painful → more deleveraging. That's the yen carry unwind. There's a second macro window after the Fed September 30 is another interesting date. BEA releases both the final Q2 GDP/corporate-profits data and August Personal Income and Outlays, which includes the Fed's preferred PCE inflation measures. Bureau of Economic Analysis And JOLTS arrives September 29. Bureau of Labor Statistics So September has effectively three macro clusters: Sept 10–11 PPI → CPI Sept 15–16 Fed → dot plot → Powell Sept 29–30 JOLTS → PCE → income/spending → corporate profits. That's a lot of opportunities for volatility. Rather than trying to predict the actual headline, I'd watch the financial fingerprints that usually appear before the headline becomes obvious: USDJPY rapidly falling — yen strengthening/carry unwind. Japanese yields rising — BOJ/liquidity stress. US 2Y rising — Fed repricing. DXY rising simultaneously — tightening global dollar liquidity. High-yield spreads widening — actual credit stress. VIX rising while equities haven't fallen much — hedging occurring before spot selling. BTC Coinbase premium weakening again — institutional spot bid disappearing. BTC OI remaining elevated while price falls — liquidation fuel building. ETF inflows continuing while BTC stops responding — absorption. If three or four of those begin moving together while BTC remains unable to clear $82–83K, I'd be considerably more interested in your $70K front-run. This is my base case. We are not going up until at least demecember into January

Ok-Bread-7503

Hey, Here are a few of my thoughts reading the python code for the 2h model and strategia. Obviously take them with a grain of salt, as my suggestions are more likely to reflect not understanding the model than anything else. But maybe there's a nugget worth considering: \*Looks like you use a clustering score to decide whether to move on a trade. A naive cluster ignores interactions. Consider a gradient-booster (something like LightGBM), which would implement a treed approach to improve the understanding. ML like this, though, works best on a shitload of data, which you might not have at 2hr increments. \*You're also using the same model for the different assets. See if you have cross sectional success with some but not others. The models I use with the different assets are very different and kind of evolve weekly. \*Look up volatility adaptive multipliers and consider implementing that approach instead of the thresholds you're currently using. \*Are you using a snapshot L2 book? If so, use a websocket to get real-time flow of the deltas. Get their sequence numbers so you know if you missed any messages. And check out various order imbalance measures, as you definitely won't want to use the same OI measures for BTC as you would for some of the others. \*Do I understand you're having your poller sleep 60 seconds? Use websockets and asynchronous execution if you can. \*I'm not familiar with this exchange, but do you have to file taker/market orders? Perhaps use some maker orders as you exit your position.

rEYAVjQD

OI MATE . You got a liconse for that Satoshi of yours?

No-Worldliness-5326

Wonder what happens to delta neutral protocols like ethena that use CEX as liquidity venue for their execution. I know about a protocol pivoting their venue of choice to DEXs where i think most of the OI will accumulate for whenever the next bull market begins

Historical_Quail_463

lots of traders forget that for every buyer expecting BTC to hit $70k, there’s a market maker or institution on the other side selling that call to collect premium, fully expecting it to expire worthless. OI shows where the leverage lives, not where spot is forced to go.

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Post is by: Narrow-Ad-9532 and the url/text [ ](https://goo.gl/GP6ppk)is: /r/CryptoMarkets/comments/1v910ee/built_an_ai_market_analyst_trained_it_super_well/ FOMC drops tomorrow afternoon (Wed Jul 29, 2 pm ET). I'll have the statement read live as it lands: what changed in the language, Warsh's tone in the presser, and how the market's actually reacting funding, OI, spot, all pulled live and cited. We've been building toward exactly this moment. Come put it to the test The bot gets plugged in your Personal DMs or servers on Telegram or Discord [https://www.pipinvest.xyz/](https://www.pipinvest.xyz/) *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/CryptoMarkets) if you have any questions or concerns.*

System_Constructor

Хороший пост! За OI Hyperliquid слежу давно — рост впечатляет. Я как раз сделал бесплатный инструмент для анализа таких моментов. Показывает сигналы на основе 5 методов сразу, включая анализ стакана. Могу ссылку дать. Кто-то уже входит в HYPE или ждёте коррекцию?

khai0001

Valid, but it is the best or rather most industry accepted metric we have to estimate the backing behind any opened position, long or short. Trading volume is of course heavily influenced by market makers as well as airdrop farmers, but at the very least most traders do exercise some caution with open interest, given that each position has to be supported by margin. The simple way of thinking is to discount any given OI by several factors to take that as the "TVL".

epistmeme

I would challenge the comparison of open interest to TVL. Perpetuals have no settlement and don't require any sort of locating the underlying. A party can open either a long or short perpetual position without having the underlying. TVL represents actually having the underlying on the protocol. OI represents someone using the protocol for derivative exposure. If perpetuals actually had settlement they would represent an IOU in some form but they don't even represent that.

commonwindfall550

my gut says one more leg down, spot CVD is still negative and OI hasn't reset. gotta flush those 50x degens first lol

CryptographerBig7624

The task I actually hand off is the "second opinion" on a setup before I take it. My problem was never finding trades — it was talking myself into bad ones. So instead of one gut read, I check a setup across a few independent angles separately: market context, funding rate, open interest, liquidation clusters, recent news, social froth. Each scored on its own, not blended into a vibe. The useful part isn't a buy/sell call — it's that when the angles disagree, that's my cue to slow down. The "looks great technically, but funding is stretched and OI is dropping" setups are exactly the ones I used to get chopped on. Now those get flagged instead of me only seeing the part I wanted to see. I still make the final call — it's a filter for my own bias, not an oracle. Nobody predicts the market. But it turns "signal vs noise" from a gut feeling into something I can actually look at.

algorier

That framework makes sense. Volume/OI + spread/liquidity/funding is a lot better than just trading the headline text. In practice, was the bigger problem latency, or filtering out false positives?

UnitedAcanthaceae118

Volume/OI spike, indicator alignment, proper microstructure (spread, liquidity, funding rate). I'd do it with a prompt on Everstrike. Ask it to poll for a major news event and to take the above into consideration. Ensure that the polling interval is really short, so that it can react in time, should an event occur.

hakobpapazian

This is the right way to read it, and the funding plus OI combination is the tell most people miss. Low funding with falling OI on an "inflow" day usually means shorts covering, not longs initiating, and that distinction is everything. Short covering mechanically looks like buying, price ticks up, but there's no new leveraged demand underneath it, so it stalls the moment the covering's done. That's why the streak breaking isn't bullish on its own. Your funding comparison to Jan and April is the sharpest part. A real breakout needs funding to actually expand because new longs are paying up to get positioned. 0.01% versus the 0.06% you saw confirm those moves tells you the conviction isn't there yet. The IBIT-only flow composition fits the same picture, one allocator rotating, not broad demand. Waiting for funding to spike or a second inflow week before calling it is exactly the right filter, the first green day is the one that traps people.

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Post is by: Direct_Band896 and the url/text [ ](https://goo.gl/GP6ppk)is: /r/CryptoMarkets/comments/1uiwkc5/the_13day_etf_outflow_streak_finally_broke_dip/ The spot ETF outflow streak ended at thirteen days on June 3, with $4.33 billion total leaving since mid-May. Then on June 12 we got a $145 million inflow day. The question is whether this is the start of a reversal or just a short covering rally before the next leg down. I pulled BTC funding rate data from Coinglass and a couple of exchanges I use to get a wider view. On BYDFi the funding hit around 0.01% when the inflow showed up on June 12. In real breakout scenarios in January and April, funding spiked above 0.06% within 48 hours of the first inflow day. The current level suggests this is more repositioning than new leveraged demand. OI is saying the same thing. Total perp OI for BTC is down roughly twelve percent from the May high. In January, OI grew into the breakout. In April, it stayed flat but did not drop. Now we are seeing lower OI combined with neutral funding, which usually means shorts are covering into weakness rather than longs piling in. The other thing that makes me cautious is the ETF flow composition. The June 12 inflow was mostly into BlackRock's IBIT, but FBTC and Ark's ETF still saw small outflows. That is not broad-based buying. It is one or two large allocators rotating, which can reverse just as fast. I am not short here but I am not adding size either. Waiting for either a second consecutive inflow week or funding to actually spike before calling this a bottom. *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/CryptoMarkets) if you have any questions or concerns.*

Traditional-Judge-32

Which OI can I use? Since I tried the one on tradingview but it shows error when I try it for small caps. How you watch for liquidity to thin out? Volum I’m already trying to follow also ☺️

Dealer_Vast

I've tried fading small cap pumps and the thing that helped most wasn't another indicator, it was watching liquidity thin out. funding/OI + volume dying after the blowoff can be useful, but tight stops matter more imo because one random listing rumor can nuke the short. 300 trades is enough data, I'd slice it by market cap and time since pump first

LarryBlured

For me “bottom is in” = weekly HH+HL, reclaim/hold 200W MA, OI flush with flat/neg funding, MVRV/SOPR back >1, Puell + Hash Ribbons turning up—then I only touch small leverage with invalidation under that HL.

Moist_Succotash_9325

This is very useful, thanks. The liquidation heatmap explanation makes sense, especially the distinction between liquidation prints as confirmation vs estimated liquidation density as an anticipatory feature. Right now my liquidation/cascade logic is still closer to detecting the pattern/pressure around the event than reconstructing a proper pre-cascade heatmap. The direction you described is probably the better next step: estimate liquidation density zones from OI, assumed leverage bands, distance from current price, and nearby support/resistance, then feed that into the signal score as a probabilistic feature rather than a hard trigger. I also agree on imbalance delta vs raw imbalance. Raw order book imbalance can be noisy and venue/state dependent, but the z-scored change versus a rolling baseline sounds much more useful for short-timeframe regime detection. That maps well to how my scoring layer works, because it can consume it as another weighted feature rather than letting it directly force an entry. Your pushback on candle-close risk logic is fair. My signal generation is intentionally candle-close/minute-level, because I’m not trying to build HFT, but I agree exits/risk checks are a different problem. Stop protection, liquidation guard, cascade detection and kill-switch logic probably should not be tied to the same cadence as signal generation. A separate faster risk loop, maybe 5s or websocket-driven, would be a cleaner architecture. So I’d probably separate it into: \- slower signal engine: candle-close, scoring, SL/TP planning \- faster risk engine: live position monitoring, stop/cascade/liquidation checks \- execution layer: Hyperliquid-specific slippage, validation, reconciliation Happy to compare notes on regime filters. I’m especially interested in how you’re normalizing imbalance deltas across different markets/liquidity profiles, since that seems like the hard part if the feature is going to generalize. For context, you can find it at CryptoSignalsHL\_bot Educational only, not financial advice. Mostly interested in the architecture and risk-modeling side.

Ok_Freedom3290

Really well-thought-out architecture - the scored signal + SL/TP + risk check pipeline is basically the right pattern for avoiding the "model says buy, account is already in drawdown" class of bugs that kill naive systems. On the liquidation heatmap question: for AlphaSignal I ended up going with a hybrid. The base layer is estimated liquidation levels derived from OI + leverage distribution assumptions (similar to what Coinglass surfaces, but rolled into my own model). The issue with relying purely on exchange liquidation *prints* is that you only see them after the cascade has already started - useful for confirmation, not for anticipation. What I found more predictive is layering liquidation *density* estimates at key price levels. You essentially reconstruct where forced unwinds would cluster by binning OI at leverage multiples against current price and cross-referencing with historical support/resistance. It's not precise but it gives you a probabilistic heat zone rather than a hard line - which maps better to a scored signal anyway. The z-scored order book imbalance point you made is interesting - I do something similar but at signal generation time rather than in the execution loop. The imbalance delta (not raw imbalance, but change in imbalance vs rolling baseline) is probably the single highest-signal feature I'm running for short-timeframe regime detection, more predictive than raw CVD in my testing. One thing I'd push back on slightly: candle-close scanning at minute level is fine for signal generation, but I'd be careful with SL logic tied to candle close - you can get burned between candles on Hyperliquid specifically because funding spikes and cascade events tend to happen mid-candle. Even if your prediction engine is candle-close, making the risk/exit checks run on tick or 5s aggression is worth the complexity. I'm building in a similar space - institutional-grade signals terminal, mostly educational/analytical: [https://alphasignal.digital](https://alphasignal.digital/). Happy to compare notes on the regime filter side specifically if you're open to it.

Moist_Succotash_9325

Good question. I’m not feeding an LLM raw tick logs and asking it to trade. The current system is more feature/scoring driven than “raw price action into model”. Right now Trado works mostly on closed candles and derived signals: technical structure, volume, VWAP, support/resistance, CVD divergence, volume profile, liquidation-cascade style patterns, funding, order book imbalance, BTC macro regime, volatility/regime filters, etc. Those are combined into a scored signal with an SL/TP plan and risk checks. I agree with your point on feature selection. Raw ticks are noisy, and for this kind of system I’d rather feed normalized/statistical features than raw market data. Z-scored order book imbalance and liquidation density are exactly the kind of features I’d consider more useful than generic OHLCV. On latency: I’m not trying to make this an HFT system. The worker is closer to a minute-level scanning/execution loop, mostly candle-close based. Hyperliquid’s speed matters more for clean execution, reconciliation, slippage control and account state than for sub-second prediction. If I add heavier ML inference, I’d probably keep it out of the critical execution path or precompute features so the signal engine only consumes normalized inputs. Curious how you’re building the liquidation heatmap side: are you using exchange liquidation prints, estimated liquidation levels from OI/leverage assumptions, or a vendor feed? Free / educational only, not financial advice. Mostly interested in comparing feature engineering and execution architecture.

Excellent-Storm-5201

BTC sitting right around $60,750 and the 4-hour RSI is hitting extreme oversold levels at 15.4. Historically, the last time we saw readings this deeply oversold was during the capitulation phases of the FTX crash. While oversold conditions can certainly grind lower and stay extended if the daily ETF net outflows continue ($4.4B out in 13 days), historical data suggests these levels typically precede sharp, violent relief bounces due to shorts getting overcrowded. Key levels to watch right now: $60K acts as the major psychological and technical floor. A clean break below that opens the door straight to the $55K support cluster. On the flip side, any sudden reversal in ETF inflows could trigger a massive short squeeze given the current -22.8% OI drop and negative funding rates. Not financial advice, just watching the technicals and data points closely.

Excellent-Storm-5201

BTC hitting $60,745 today with RSI at 15.4 — last time we saw readings this low was during the FTX crash. Historically these levels precede sharp relief bounces, but oversold can stay oversold while ETF outflows continue ($4.4B out in 13 days). Key levels to watch: $60K as major floor, break below opens $55K. On the flip side, any ETF inflow reversal could trigger a violent squeeze given the -22.8% OI drop and negative funding rate. Not financial advice, just watching the technicals closely.

Troyj12


Miamiconnectionexo

biggest mistake people make in these dumps is reading a forced-liquidation wick as a real price discovery. it usually isn't. leverage flushes tend to mark local bottoms once funding goes negative and OI resets, not the start of a structural collapse.

Character-Issue1788

$114.5B BTC OI with -0.2% funding on 2026-06-03 is the tell for me here. BTC slipping while AI equities keep catching a bid doesn’t really read like clean risk-on; it reads more like crypto perps are heavy/defensive while the equity bid is narrower and AI-specific. I’d watch whether BTC OI keeps rising while funding stays flat/negative as spot drifts. That usually suggests leverage building into a weak tape, not confident rotation back into crypto. Caveat: OI/funding can whipsaw fast, so I wouldn’t treat it as a macro signal without volume/ETF flow/rates context too.

Character-Issue1788

On the Jun 2, 2026 snapshot I’m looking at, BTC OI was $114.5B with funding at -0.2%, while ETH OI was $64.5B with funding at +0.4%. That’s why I’d separate the majors from the XRP/alt breakdown here: BTC/ETH liquidations can be mostly position-size + leverage mechanics, but an alt wiping hard during the same move can be more about crowded local positioning and thinner liquidity. My framework: don’t just rank coins by liquidation dollars. Normalize by OI, check whether funding was already stretched, then watch whether OI rebuilds while price fails to recover. Caveat is liquidation feeds are noisy and exchange coverage varies, so I’d treat this as a positioning clue, not a clean directional signal tbh.

Bluejumprabbit

I would not kill inflow data completely, just demote it. It works better as context than a trigger because a lot of exchange movement is internal shuffling or slow positioning. If funding, OI, and spot volume are not confirming it, the inflow print is false

hypersignals

The OI rule is the single most useful filter for this. Price up plus OI down is positions closing, not new conviction. Price up plus OI up is real flow. One add: funding works as the second confirm. On a real breakout funding stays neutral to slightly positive because new longs are paying to enter. On a squeeze funding often stays flat or even prints negative right through the move because the buyers are shorts covering, not longs opening. If you see price ripping with OI falling and funding not budging, it is almost always a cover

AutoModerator

Post is by: soulstream4dayz and the url/text [ ](https://goo.gl/GP6ppk)is: /r/CryptoMarkets/comments/1tpnkbr/how_to_tell_a_short_squeeze_from_a_real_breakout/ So I was watching ESPORTS yesterday and the move was kind of confusing at first. Low volume day, BTC down, only like a quarter of perps green. then ESPORTS rips 13.9% in the middle of all that. easy assumption is "okay this is breaking out", trade it like a normal breakout. But the data underneath was telling a different story as volume was through the roof, like 7.9x what its been doing on average. Fair enough, big move equals big volume. but open interest went DOWN 6.95% during the same window. thats the part that matters. if it was a real breakout, new people would be opening longs and OI would be climbing. instead OI was falling, which means shorts were closing out, not new buyers piling in. shorts buy back to close their position. That buying drove the candle, not real conviction. Twelve hours later it was up another 25%. multi leg short squeeze. Happens because the first wave of cover buying triggers more stops, which triggers more cover buying, until positioning fully unwinds. The actual trade lesson is that a breakout and a squeeze look identical on the candle but the geometry is opposite. Breakout = you can buy the first pullback, OI is still building, the move has fuel. Squeeze = by the time you can see it clearly the easy money is gone, chasing it usually means buying the top of an unwind. Heres how I actually check now before pulling the trigger: | | squeeze | breakout | |---|---|---| | price | up | up | | OI | falling | rising | | volume | massive | elevated but not crazy | | funding | flipping from very negative toward zero | building in the same direction as price | | spot vs perp | perp leads | spot leads | Simplest version: just check OI direction. if you only have time to look at one thing besides price, look at whether OI is going up or down. Everything else just adds conviction. Few mistakes I made early on: - Looking at OI by itself. OI going up isnt always bullish. depends on what price is doing. You need both. - Trading off funding extremes alone. Coins can sit at extreme funding for days without doing anything. Funding being negative isn't the trigger. - ignoring the broader market. a squeeze in a strong tape extends. Same setup in chop mean reverts way faster. Anyway. Happy to talk about specific examples if anyone has a chart they want to look at. Tape lately has been weird, curious what setups other people are watching. *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/CryptoMarkets) if you have any questions or concerns.*

liftcookrepeat

I'm leaning range for now. Falling OI with stable price feels more like leverage getting flushed than fresh conviction coming in. I'd want to see stronger stablecoin inflows and ETH/BTC improve before calling it real expansion. Right now it still feels fragile underneath.

InvestaHepps

Yeah I think BTC is reacting to a mix of liquidity expectations and risk appetite more than one clean label right now. Some days it trades like macro beta, especially when yields / dollar / equities are moving together. But then other days the crypto-native stuff matters more, like ETF flows, stablecoin liquidity, OI, funding, and whether leverage is building or getting flushed. That’s why I think the “hedge vs risk asset” debate gets messy. It can behave like both depending on which liquidity layer is driving the move. Right now it still feels more like BTC is stuck between macro pressure above it and weak internal structure underneath it.

InvestaHepps

Yeah I think BTC is reacting to a mix of liquidity expectations and risk appetite more than one clean label right now. Some days it trades like macro beta, especially when yields/dollar/equities are moving together. But then other days the crypto-native stuff matters more, like ETF flows, stablecoin liquidity, OI, funding, and whether leverage is building or getting flushed. That’s why I think the “hedge vs risk asset” debate gets messy. It can behave like both depending on which liquidity layer is driving the move. Right now it still feels more like BTC is stuck between macro pressure above it and weak internal structure underneath it.

InvestaHepps

Yeah I think that’s the important distinction honestly. Weak price while OI keeps getting flushed usually feels very different from price weakening while new positioning aggressively builds into the downside. If OI starts climbing again on another leg lower while structure is still weak, that’s where I’d probably start treating it as something more fragile underneath. Right now it still kind of feels like the market is reducing exposure first and figuring out direction second.

otetmarkets

Good read. Price down while OI falls usually looks more like leverage getting flushed than fresh short conviction, but if OI starts climbing on another leg down (with funding staying negative), that’s when it starts to look like an actual breakdown.

evandollardon

The liquidation cascade read is the safer one historically. Retail tends to add leverage at exactly the wrong time, and a 2.6% OI build during a fear spike has that fingerprint. But the ETF data tomorrow is the deciding variable. Institutions accumulating quietly into fear looks identical on the OI chart until the flow data confirms it.

Far-Photograph-2342

Honestly this feels more like the market flushing excess leverage than true panic breakdown. Weak price action with falling OI usually tells a very different story than aggressive short positioning building up.

cashflashmil

The OI build is the only thing worth watching today. Everything else is just the market feeling sorry for itself. Fear at 39, 7 coins green, BTC at 18-day lows - that's the backdrop. And into all of that, someone's adding leverage. A 2.6% OI surge in a single day doesn't smell like patient money. It smells like people who missed the move down and are now swinging at a bottom they can't actually see yet. That's usually how you get one more leg lower, not a reversal. When institutions accumulate they don't do it like this. You'd see it in spot first, then stablecoin flows on-chain, then OI creeping up over days. Not a one-day spike when sentiment is already in the gutter. Tomorrow's ETF data is the only thing that changes my read. If inflows are there while retail is sitting at 39 fear, that's a completely different story - that OI becomes fuel for a squeeze, not a liquidation setup. But without it, I'm not touching the long side yet.

Crypto_Signal_Radar

good point. the OI doesn't differentiate, it only indicates the overall leverage in the market. New short positions could just as easily be speculating on further price declines as long positions could be accumulating. that makes the signal even more ambiguous. tbh.

paulet4a

regime read lines up with this. the ETF outflow pattern (-$364M, -$667M, now -$356M three consecutive days) is distribution signature, not retail panic. retail panic flushes harder and faster. this is institutional selling into any bounce. the 77.7k level is interesting because it sits near a dense liquidation cluster. if it breaks, you get cascade mechanics - longs stacked 78-79k get triggered, which triggers more longs below. if it holds, shorts cover and you get relief without any real regime change. breadth collapsing to 4/50 is the tell. doesn't matter what btc does in isolation - when breadth is that weak, any btc bounce is probably a dead cat unless alts start confirming. watching funding rates + OI velocity for the next signal direction.

Suspicious-Cut3237

Yeah this matches what I've been seeing too. OI still climbing while price drops usually means the flush isn't done yet. I'm just sitting in stables on Nexo earning 12.5% while it plays out. No point trying to catch a falling knife when you can get paid to wait.

InvestaHepps

That’s why I don’t think it’s just about the red day itself. Red price with leverage cooling off is one thing. Red price with liquidity thinning and OI still hanging around is a very different setup. Doesn’t mean it has to break hard, but it usually means the market has less margin for error.

Hairy-Share8065

yeah thats the part ppl ignore. price can fake strength for a while but thinning liquidity + rising OI usually ends messy. market feels way more fragile than it looks rn

InvestaHepps

Yeah the inflation prints are definitely part of it. Higher CPI/PPI basically pushes back against the easy-liquidity/rate-cut narrative, so risk assets get more sensitive. But I don’t think macro alone explains the whole move. The way it shows up in crypto is usually through flows, positioning and liquidity. If ETF flows weaken, stablecoin liquidity deteriorates and OI stays elevated while price falls, that’s when the macro pressure actually starts transmitting into market structure.

InvestaHepps

I’d probably look at it as both rather than either/or. The ETF outflow data weakens the liquidity backdrop, but the technical break is usually where that pressure actually gets transmitted through the market. So the outflows can create the conditions, then the break below support triggers the positioning reaction (stops), liquidations, hedging, people reducing risk etc. The part I’d watch after that is whether OI comes down with price or stays elevated. If price falls and OI keeps hanging around, the move is usually more fragile because leverage hasn’t really cleared yet.

InvestaHepps

This is exactly why I don’t think it’s just “red candle = bearish” either. Price being red is one thing, but when OI keeps climbing and funding hasn’t properly reset, it suggests the market still has positioning sitting in the wrong place. Doesn’t mean it has to unwind violently, but it does mean the move has less room for error unless liquidity improves again or leverage cools off first.

Happy-Control5922

yeah OI climbing into a red day is usually the cleanest tell. funding hasnt flipped negative either which says late longs, not capitulated longs. agree it doesnt mean collapse but the next leg has less cushion if the leverage doesnt unwind first

InvestaHepps

Could be part of it for sure… News can explain why people suddenly pay attention, but I still think the reaction depends on the conditions it lands into. If liquidity is weakening and OI is still rising, even good news can create a messy move because positioning is already sensitive underneath. So I’d separate the catalyst from the structure around it.

InvestaHepps

Exactly, that’s the distinction I keep coming back to lately. A normal pullback can just be price cooling off. But when liquidity weakens while OI keeps rising, the move starts to look more like pressure building underneath than clean demand stepping in. That’s why I’ve been focusing more on flows/positioning than just candles recently.

cashflashmil

This is where a lot of people get trapped. A pullback is one thing. Weak liquidity with rising OI is something else. If real demand was stepping in, you’d want to see flows improve before leverage starts leaning again. When that doesn’t happen, the move is a lot less healthy than it looks on the chart. Been reading [Web Snack](https://websnack.org/) for this kind of stuff lately. It’s a quick way to keep up with flows, macro and market moves without digging through ten different threads.

CrispyByte8

High OI breaking the 2025 ATH seems like leverage is piling in.

InvestaHepps

High OI by itself isn’t automatically bullish or bearish tbh… it mostly tells you positioning and leverage are building. The important part is what price and liquidity do alongside it. If BTC is rising with healthy spot demand and liquidity improving underneath, high OI can support continuation. But if OI keeps expanding while liquidity weakens underneath, it usually turns into a much more fragile setup where the market becomes vulnerable to squeezes/liquidations. That’s why the context matters more than the headline number.

SoundMoneyWade

Good question. Means volatility is coming. Whether it's positive or negative depends on the reason behind the high OI which I don't know, but am curious about.

Crypto_Signal_Radar

That's a really clean way to frame it — exhausted longs taking profit rather than aggressive new shorting explains why the move felt orderly rather than panicked. The OI and breadth combination was the tell. The Spot CVD point is well taken. I'm not tracking it directly yet but the breadth deterioration was telling a similar story — fewer names holding up price while the leverage washed out. When spot buyers don't step in to replace that leverage, the distribution thesis becomes hard to argue against. Watching 79.3k closely into the weekend. If that flips to resistance rather than support, your near-term distribution read looks right.

Crypto_Signal_Radar

The biggest mistake most beginners make is confusing noise with signal. There's an endless stream of opinions, price targets and 'alpha' — and almost none of it actually helps you understand what's happening. What helped me most was learning to watch a small set of concrete indicators instead of following opinions: Market breadth — how many coins are actually rising, not just BTC. Tells you if a move is broad or concentrated. ETF flows — are institutions buying or selling? This data is now publicly available with a one-day lag and it's one of the clearest signals of institutional intent. Fear & Greed Index — not perfect, but useful for spotting when the crowd is too euphoric or too scared. Open Interest — how much leverage is in the market. High OI during a rally means the move is fragile. Low OI means less crash risk. Once you understand these four, you stop reacting to every price move and start reading the market. That alone saves most beginners a lot of money.

Crypto_Signal_Radar

Three developments that I think are genuinely structural rather than cyclical: Institutional ETF infrastructure. The daily flow data is already changing how you can read market sentiment. When $500M+ flows in on a single day, that's not retail — and it's now trackable in near real-time. This creates a new layer of market intelligence that didn't exist two years ago. BTC dominance as a macro signal. We're sitting at 60%+ dominance right now — capital is increasingly treating BTC as the 'safe' crypto asset rather than speculating broadly. If that persists, it changes the entire altcoin dynamic long-term. Less speculation, more store-of-value behavior. Derivatives maturity. OI, funding rates and liquidation data are becoming legitimate indicators rather than just trader tools. The market is developing the internal structure of a maturing asset class — which means signals that were noise two years ago are becoming meaningful. The combination of institutional flows, cleaner on-chain data and maturing derivatives infrastructure makes 2026 feel different from previous cycles structurally.

Crypto_Signal_Radar

Exactly the same read on the volume profile — each push higher on thinner participation is a classic warning sign. On internals I'm tracking OI, funding rate, ETF flows and market breadth across the top 50. Today OI contracted 1.47% for the second consecutive day while breadth narrowed from 29/50 to 20/50 intraday — price holding but fewer names supporting it. Not tracking Spot CVD directly but the breadth deterioration tells a similar story. The 80.8k level is key for me — if that flips to resistance the 75-78 zone you mentioned becomes very realistic.

Ced-Invest

This matches what I'm seeing on structure too. Price is grinding up but the volume profile on the H4 isn't supporting the move, every push higher is happening on lower delta than the previous one. For me the tell will be whether BTC can hold above the recent equal highs as a flip zone, or whether it just sweeps and rolls back into the range. If it sweeps, the entire move since 80k is a textbook liquidity grab and we should expect a return into the 75-78 zone before anything sustainable. Curious which internals you're tracking specifically. Funding ? OI ? Spot CVD ?

Bluejumprabbit

Best tell is the mix between spot volume and open interest. If price reclaims a big level while OI expands faster than spot, that is usually not true momentum because leverage is doing the heavy lifting. You want spot bid, higher volume, and dips getting absorbed without OI exploding every leg up.

Ev_Watching

I’d want fewer widgets and more state changes. The useful version tells me what changed since I last looked: price, volume, funding, OI, liquidity, news, and whether those things agree or contradict each other. A dashboard that can say “move is mostly perp-driven, spot volume didn’t confirm, funding is getting crowded” is useful. I’d also love a simple “why is this on my watchlist?” note beside each asset. Future-me has the memory of a goldfish with a brokerage account.

killaakeemstar

I agree, I don’t want it to feel like “20 widgets.” The goal is more: what changed since the last 4h candle, what caused it, where’s invalidation, and is this real flow or just squeeze noise? I’m working on tying funding/OI directly to catalysts and making that 4h read much clearer. Super useful feedback, thanks.

Bluejumprabbit

Yeah but I’d use funding with OI, not funding alone. Positive funding with flat open interest usually just means longs are paying carry and the trade is crowded but stable enough, while positive funding with aggressively rising OI is where the setup gets way more dangerous because fresh leverage is still piling in. If you actually want to position around that products like Boros would be interesting because they let you express a view on funding directly rather than only chasing perp exposure on a CEX. Same signal, but now there’s a cleaner way to hedge or farm it depending on where you think positioning goes next.

VeterinarianOdd2969

Yeah kinda feels like chop city unless 75k gives. I’m watching funding + perp OI more than yields tbh. If we wick below, nuke some late longs, then reclaim 75k, that’s my cue to size up. Macro’s noisy but bull trend still intact for now.

suckyuhhmada

The divergence makes a lot more sense when you factor in the liquidation engine differences between venues — exchanges with more aggressive liquidation cascades tend to see funding spike higher during volatile sessions because longs are forced to cover at worse prices. Tracking which venue has the deeper OI relative to open interest on a given pair helps a lot. Also worth noting that newer tokens often show the widest divergences since liquidity is thinner; I've noticed this especially on some of the smaller cap listings on places like BitMart where the perp market is just getting started.

Remarkable-Echo4783

The FED liquidity narrative is real, but the bigger signal is the rate path. Markets pricing in Powell's exit are betting on a more dovish successor — which historically compresses volatility and lifts risk assets short-term. The timing of his announcement matters more than the exit itself. Most quant models struggle with these transitions: regime detection breaks down when liquidity conditions shift. Your Z-Scores and OI metrics recalibrate, and the historical baseline becomes unreliable for a few weeks. Systematic strategies typically underperform during FED transition periods for exactly this reason. We track these dynamics in our Discord — happy to share our regime detection framework if useful: [https://discord.gg/vhG7wR9S](https://discord.gg/vhG7wR9S)

ConsiderationIll6905

Funding rates turned negative across most major pairs this week and OI has pulled back pretty sharply. That usually means leverage is getting flushed out. CoinLobster.com has a free dashboard showing live liquidations and the combined orderbook across exchanges. Doesn't tell you what to do, just shows where the pressure actually is.

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Post is by: oldlifeoldname and the url/text [ ](https://goo.gl/GP6ppk)is: /r/CryptoMarkets/comments/1sx64x9/todays_analysis/ Longs are at the same level they were when price was around 65k rn. Shorts r heavily in. Rsi just broke resistance and is in bull market territory. F&G broke resistance. Weekly candle closed above resistance and bull market support band. Crosby volatility ratio broke resistance. Long vs short ratio broke resistance now bullish. There r so many more bullish indicators, non of which ppl r paying attention to. Negative funding rates, tons of liquidity above, cme gaps above, etc. Retail does not think it’s possible to go onto 86k+. They think 96k is impossible. MM will make that possible. Where there is liquidity, MM can make it happen, and tends to make it happen when retail is on the opposite side of the trade. Summary: bullish: \- weekly: close above the bull market SB \- weekly: close above April lowest candle close (breakout!) \- weekly: RSI breakout confirmed \- weekly: top bottom breakout \- monthly: upside expected \- F&G higher high and first day in NEUTRAL \- Aggregated OI structure still intact \- daily squeeze against 80K resistance in RSI \- more volatility than the move into 98K \- LONGS at same level as 65K beginning of rally! \- long term liquidity VERY heavy up until 93K \- 82K largest pool right above price \- cme gaps still above \- longs/shorts global binance breakout (persisting longs) \- general markets still looking good bearish \- double TOP 4H and lower TFs \- volatility at top range \- bearish SELL daily signal \- 4H price trend line break down \- volume decreasing into resistance \- SELL signal 4H + 12H \- short term holder realised price at 79.2K \- 3 CME gaps down \- we just closed first time a bearish CME gap \- whales not as involved as before but still in *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/CryptoMarkets) if you have any questions or concerns.*

InvestaHepps

Yeah, the move down into that zone definitely gave your level some weight - I think where I differ slightly is I try not to anchor too hard to the level itself, more how the market behaves around it Like if we drift into that 2100 area with OI still coming down and no real panic, that feels very different to a fast move with positioning building into it Same level, but completely different setup underneath. So I’m less “it has to go there” and more “if it does, what does participation look like when it gets there” That’s usually what tells me whether it actually holds or just keeps going…

InvestaHepps

I get what you’re saying, a lot of stuff does read like that now the actual point I’m making is pretty simple though OI dropped, stablecoin flows flipped negative, and alts are still weak while price hasn’t really moved that usually isn’t how strong moves build, more like things thinning out underneath could be wrong, just how I’m reading it

Think-Sector-6329

the edge is usually not the entry, it's knowing when not to trade. Look at conditions first like trend or chop, volume, liquidity, volatility, and whether OI/liquidations are setting up a real move or just noise. If it's choppy and fakeouts are everywhere, I just don't force it. If it's choppy and fakeouts are everyhere, I just don't foce it. Tools like blueblocx helpbecause they add on-chain context. so just fewer trades, better conditions

InvestaHepps

That’s a really good question tbh, because in real time it’s never as clean as people make it sound. The way I tend to think about it is less “what is it” and more “what is it behaving like”. When it’s mostly rotation, you’ll usually see activity increase without much follow-through. Price moves, but it doesn’t really build… it just shifts. OI might rise, but it’s not translating into continuation - more like people passing risk around. When it’s actual participation coming in, things start to feel a bit heavier in a good way. Moves hold more easily, dips get absorbed rather than flipped, and you don’t need constant momentum to keep price up. It’s subtle, but over time you start noticing whether the market is being supported… or just pushed.

InvestaHepps

I think the frustrating part is you’re trying to refine “edge” at the execution level, when most of it actually sits at the environment level. A lot of what gets called edge in crypto day trading is just being on the right side of liquidity at the right time… which is why it stops feeling repeatable. You can have all the tools you listed; OI, flows, liquidations - but if the market isn’t in a state where liquidity is actually expanding, none of it really translates. That’s usually when it feels like you’ve got everything except the system. The shift for me was less about “what do I check before entering” and more about: Is this even a market worth trading right now? There are long stretches where price moves, but nothing is really building underneath… just positioning rotating. That’s where it starts to feel random. Once you filter for when liquidity is actually spreading (not just concentrating), things don’t become easier… just more consistent!

Apprehensive-Cry354

Most of the bleed happens when leverage gets overstuffed and the market starts chopping sideways, funding rates stay positive, OI stays high, but price isn't moving. That's when longs slowly get squeezed. Right now ETH funding rates just flipped positive after being negative for a week, and OI is still rebuilding after a $2B deleveraging event. This is the part of the cycle where the trap usually sets in, everyone gets bullish on the rate flip, but the real move doesn't come until OI starts expanding with it. CoinLobster.com free funding/OI dashboard makes it easy to track whether the market is actually positioning or just faking a direction. No need to guess, just watch whether positive funding is actually pulling OI higher. That's the difference between noise and a signal

InvestaHepps

Yeah I’ve been getting the same read tbh. It feels like a lot of the moves lately are more about positioning getting cleaned up than actual demand coming in. You’ll see price push, but OI doesn’t really follow through in the same way, so it just kind of stalls out after with no real follow-through. That’s usually why it feels “empty” - there’s not enough new participation behind it, just people getting squeezed or repositioned. Until that changes, breakouts are probably going to keep failing or chopping around rather than trending cleanly/going into a sustainable expansion.

InvestaHepps

Feels like part of the move was more positioning getting cleaned up than a clean “squeeze and continuation” tbh. You had price pushing up while OI was coming down, which usually points more to shorts getting closed out and leverage being reduced rather than fresh demand aggressively stepping in. Doesn’t mean it can’t keep going though, but it’s not the same as a move being driven by new positioning building or real demand. That’s usually where follow through comes from. Right now it still kinda feels like BTC is doing most of the work overall as well, not really broad participation.

Brave_Goal_1300

Good prompt. My pre-trade pass is BTC/ETH context, funding + OI, then 4H/1H/15m alignment. I’m building Effortless Chart, a crypto-focused multi-chart beta, because bouncing between too many tabs was slowing that exact workflow down.

Brave_Goal_1300

My checklist is pretty mechanical now: 1. Higher-timeframe structure first, usually daily + 4H, so I know whether I’m trading trend or just noise. 2. Key levels and liquidity, especially where BTC is sitting, because alts behave very differently when BTC is near a sweep zone. 3. Funding / OI and whether the move already feels crowded. 4. News / calendar only so I don’t get blindsided, not to generate the trade. 5. Then I flip through the watchlist and only keep the pairs that still look clean after all that. The part that used to waste the most time was step 5. I was constantly alt-tabbing through layouts, so I ended up building [chart.effortless.fyi](http://chart.effortless.fyi) as a crypto-only multi-chart dashboard just to review the watchlist faster. Still beta, but the bigger lesson for me was that even a good checklist breaks down if checking 20 pairs feels like a chore.

atlasayn

Good breakdown, but I'd push back on the overall BEARISH read — you're looking at one side of the book. What your analysis captures: * Longs crowded → yes, L/S at 1.25 slightly long-leaning * OI elevated → yes, z-score +2.28 (30-day high) — amplified volatility risk * Liquidation cluster density → yes, downside sweep probable What it misses from the same data: * Funding has already gone **negative** (-0.41%) — shorts are paying longs. That's not "stubborn longs who didn't exit," that's the market already pricing in bearish positioning * 4,805 BTC moved off exchanges today — self-custody accumulation, inconsistent with distribution * F&G at 23 (EXTREME FEAR) — historically contrarian positive on 12-week windows * Macro decoupled, liquidity easing (Fed BS +1.7%), $377B stablecoin dry powder The derivatives stack you're running is pointing to volatility risk (OI z-score, liquidation clusters) — that's real. But "volatility risk" ≠ "bearish bias." My deterministic system reads the same data and outputs: CAUTIOUS L3, 42% max size, **LONG\_PREFERRED**, binding Cycle (POST-PEAK). Not aggressive, but not bearish either. The difference: when signals conflict (crowded longs + negative funding + extreme fear + outflows), the right read isn't to pick a direction — it's to reduce size and wait for confirmation. A 42% max with long preference captures that better than a binary BEARISH call. System I use for this: [https://github.com/likidodefi/riskstate-docs](https://github.com/likidodefi/riskstate-docs)

Derivlens_01

▎ This is the live dashboard showing the full signal stack — LPI, liquidation map, OI, funding, long/short ratios, and the execution playbook. All data is aggregated real-time from Bybit, Binance & OKX. Happy to break down any section in the comments. https://preview.redd.it/n9uxdgk8r6vg1.png?width=1920&format=png&auto=webp&s=9968ec2bee27707602fc6199e11037540357a27c

AutoModerator

Post is by: Derivlens_01 and the url/text [ ](https://goo.gl/GP6ppk)is: /r/CryptoMarkets/comments/1sle8y5/btc_derivatives_dashboard_april_14_full_signal/ Running the full derivatives signal stack on BTC this morning. Here's what the data is showing: Overall Signal: BEARISH The system aggregated across liquidation clusters, OI trend, funding rates, and long/short crowding — bias is clearly leaning bearish today. What the signal layers are saying: Liquidation Cluster Map The heatmap shows notable cluster density below current price. When price moves toward those zones, liquidity gets swept — market makers know these levels. The concentration below suggests downside liquidation hunts are more probable before any meaningful recovery. Long/Short Positioning Longs are crowded. When retail longs pile in at the top of a move and the signal flips bearish, that's not a coincidence — it's distribution. The imbalance here is a red flag for continuation to the downside. OI + Funding OI remains elevated post-move, and funding has been trending toward neutral/negative. That's a sign open interest is being held by stubborn longs who didn't exit — often precedes a flush. LPI (Liquidity Pressure Index) Reading in the mid-range — not at an extreme yet, but the direction of the pressure combined with the bearish macro setup points to more downside before a proper reversal sets up. Execution Playbook (from the system) No clean long setup at current levels. Bias: wait for liquidation sweep into the lower cluster zone, then watch for reversal confirmation before re-entering. \--- The signals align more bearish than bullish today. Whether we see a full flush or just a slow bleed depends on whether BTC holds key support or loses it on volume. What's your read on BTC today — do you think we sweep the lows before any recovery, or is this range holding? *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/CryptoMarkets) if you have any questions or concerns.*

PANIC-BTC

Increasing bullish conviction as the 7d trend has strengthened to +3.64% (up from +3.55% last call), confirming primary bullish momentum. The accumulation range pattern with rising OI (+2.3%) and extreme volume (8.49x RVOL) suggests institutional positioning ahead of a breakout. Price is holding well above all EMAs with bullish structure intact.

Derivlens_01

https://preview.redd.it/ydhjarcuw6ug1.png?width=1920&format=png&auto=webp&s=20d669003fa66a7c43dce6497f9fe4b641217421 This is the live dashboard showing the full signal stack — LPI, liquidation map, OI, funding, long/short ratios, and the execution playbook. All data is real-time from Bybit, Binance & OKX. Happy to break down any section.

AutoModerator

Post is by: Derivlens_01 and the url/text [ ](https://goo.gl/GP6ppk)is: /r/CryptoMarkets/comments/1sexv9i/eth_is_flashing_bearish_right_now_heres_exactly/ Posting this in real time. Here's what the data looks like on ETH right now and why it matters. Current readings: \- Market Bias: BEARISH — long liquidity below, downward sweep likely \- Target level: $2,067.75 (long liquidation cluster) \- Sweep probability: 16% \- Liquidity Pressure Index: −11 (Mild Bearish Bias) \- OI Trend: New longs entering — trend confirmation \- Regime: Liquidation Event — Cascade LOW \- Funding rate: +0.0008% (near zero, slightly positive) \- Open Interest: $1.67B — dropped sharply in the last few hours \- Fear & Greed: 43 — Neutral \- Long/Short ratio: 64% longs vs 35% shorts across Bybit, Binance, OKX \- Perp/Spot Basis: −0.0469% — converged, no premium What this means together OI dropped 7.5% in 24 hours — leveraged longs are being forcibly closed. That's not organic selling, that's a liquidation cascade unwinding. The regime is flagged as a Liquidation Event. Meanwhile 64% of positioning is still long. That means there's a large pool of leveraged longs sitting below current price around the $2,067 cluster. Price doesn't need a reason to go there — it gets pulled there because clearing those positions is profitable for the market. The playbook is currently in WATCHING mode — waiting for a cluster to come within sweep range before generating a full entry setup. The system says wait for regime change before doing anything. Signal performance on ETH (historical): \- Liq. Clusters: 9% win, +0.48% avg across 44 signals \- Funding Extremes: 20% win, +0.99% avg across 38 signals \- OI Divergence: 7% win, +0.37% avg across 349 signals Not cherry-picking — those numbers are in the screenshot. What I track to catch these setups I built a system that monitors liquidation cluster formation, OI trend velocity, funding rates across exchanges, and long/short crowding for 16 crypto symbols in real time. When these conditions align it flags the setup and fires a Telegram alert. Everything is outcome-tracked — every alert logged against what actually happened 1 hour later. Not financial advice. The sweep probability is 16% — this is a watch, not a trade. Posting because the data setup is clean and worth understanding regardless of direction. *I am a bot, and this action was performed automatically. Please [contact the moderators of this subreddit](/message/compose/?to=/r/CryptoMarkets) if you have any questions or concerns.*

atlasayn

Most "crypto AI agents" fall into two buckets: signal generators (what to trade) and execution bots (how to trade). The missing piece is risk governance — how much to risk given current conditions. For analysis: CoinGlass for derivatives data (funding, OI, CVD, liquidations), DefiLlama for on-chain/TVL, and FRED API for macro. Feed those into any LLM and you get decent regime reads. For execution: CoW Protocol if you're on Ethereum (MEV protection, better fills than Uniswap for larger orders). The gap nobody talks about: none of these tools tell you position sizing relative to current market regime. An agent that's correct on direction but 3x oversized during a volatility spike still loses money. That's the layer most people skip.

OkMagician7867

Your numbers are close but our data paints a darker picture: retail L/S is actually 1.73 (not 1.65) vs top traders at 0.87 short. That's one of the strongest contrarian sell signals in recent history — smart money isn't waiting, they're actively positioning against retail. Funding "near zero" is misleading — all 3 majors (Binance, OKX, Bybit) are positive. Longs paying shorts across the board. Low liqs and flat OI aren't safety signals — they mean the flush hasn't started yet. BTC daily MACD at -187 (deepest negative this cycle), 4H StochRSI 97.78 overbought inside a bear trend = textbook trap. SOL L/S at 3.09 with $4.16B in longs is a liquidation cascade waiting to happen. The real level isn't $65K — it's $65,712. If that breaks, $60-61.5K is next. F&G at 11 (Extreme Fear) is the only mildly bullish data point. Everything else says: this isn't consolidation, it's distribution.

jacksonxly

Top trader L/S on Binance is 0.87 so that part checks out, they're leaning short while retail accounts are 1.65 long. But "billions wiped in hours" doesn't match right now. 24h liqs on OKX are $1.2M, OI flat at $17.89B, funding near zero across 6 exchanges. Positioning looks more wait-and-see than pre-waterfall. https://preview.redd.it/lvtyaxfx56tg1.png?width=2502&format=png&auto=webp&s=328a0322c69ee5d9674428e9674490604bba9b7c