Tried out the Market Researcher agent from @tread_fi today. As someone who trades positioning & order flow, this solved a real pain point for me.
The problem: Screening every pair on @HyperliquidX everyday — OI, perp CVD, spot CVD, volume delta, price — to find where positioning is divergent is brutally time-consuming. By the time you're done, the setup's gone.
The fix: An agent that does the screening for you. Every morning, before you start trading, you ask it — and it scans every pair, flags clear order flow divergences, and hands you a clean summary to work from.
Here's the exact prompt I gave it:
"Can you go through the top 10 volume pairs on Hyperliquid and give me a brief on their order flow. Tell me what you think about positioning based on OI, perp CVD, spot CVD, volume delta, and price — don't use any other indicator. List any pair where there's clear divergence between price and OF."
What it returned (see images 👇):
✅ Pair-by-pair order flow breakdown
✅ Flagged every price/OF divergence
✅ Called out the reads — short squeezes vs. fresh shorts entering vs. clean trend
✅ A clean divergence summary table + bottom line
Example reads it surfaced:
• WLD / UNI / ZEC → squeeze-driven pumps, no OF support → fade with caution
• SUI → clearest bearish setup, fresh shorts entering with conviction
• SOL → only pair where price, OI & CVD all aligned bullish
That's my whole morning screening done in one prompt. Now I know exactly where to focus.
One important note: Don't use these agents for entry/exit signals — that's never going to work. The right way to use them is to generate ideas and build a plan, then layer your own entry/exit logic on top.
Be smart about how you use it. As a screening & idea-generation tool? Genuinely powerful.
Newly released FARA documents with the DOJ reveal that the Israeli Ministry of Foreign Affairs paid U.S. company “Show Faith By Works” $4.1 million to carry out a massive, covert, digital surveillance and geofencing operation targeting Christian communities in multiple states, including at “every major church” in California, Arizona, Nevada, and Colorado.
Read the full investigation by @AlanRMacLeod :
https://t.co/d5rm50zsMw
مداخلة تاريخية بالدموع والبكاء في جلسة الأمم المتحدة، الدكتورة تانيا الحاج تخاطب العالم وتتحدث عن غزة:
"لسنا مجهولين، نحن بشر خلقنا الله، لسنا حبرًا على ورق، لا يستطيع أهل غزة أن يتحدثوا عن أنفسهم ويدافعوا عن مدينتهم هنا لأن النظام الذي نعيش فيه لا يعترف بحقهم في الحياة".
👑🔥 AGAIN A WOMAN‼️ A QUEEN THAT STANDS UP.
Spanish MEP Irene Montero just torched the room in Strasbourg.
While EU leaders posture and celebrate, she looked them dead in the eye and asked:
What exactly are we celebrating?
Prevented a genocide in Gaza?
Stopped the illegal US-Israeli aggression on Iran?
Broke relations with Israel?
Ended the occupation of Lebanon?
No. We cannot celebrate any of these things.
Then she dropped the line that’s echoing across the internet:
“Happy Birthday, Mr. Genocide.” aimed straight at Trump.
The men in suits stayed silent or complicit.
She spoke.
Thank you, @IreneMontero.
Thank you, Spain 🇪🇸.
This is what moral courage looks like when institutions choose cowardice.
İsrail’in Gazze’de kullandığı soykırım silahlarının üretildiği yazılım sistemlerini çökertmek için “operasyon çeken” 5 aktivist Almanya’da yargılanıyor.
Gizli kahramanlar ve insanlığın yüzakı güzel insanlar onlar.
market makers aren't quoting price
they're running an inventory optimization formula, and every bid/ask you've ever traded against was its output
formula is free, been public since 2008, and retail trading has never once mentioned it
NYU professor Marco Avellaneda published the model - 14 pages, zero paywall, on SSRN
reservation price: r = mid - inventory × γ × σ² × (T-t)
when a desk holds too much of one side, they shift their entire spread to push flow the other direction. you were always a variable in that calculation
4 resources to run this yourself:
> 1. avellaneda & stoikov 2008 - "high-frequency trading in a limit order book" - free on SSRN
> 2. github: search "avellaneda stoikov python" - clean implementations under 200 lines
> 3. tardis - historical level 2 order book data, exact inputs the model runs on
> 4. lobsterdata - NASDAQ order book reconstructions, free academic access
Bookmark this before placing another trade
optimal spread: δ = γσ²(T-t) + (2/γ)ln(1 + γ/κ)
γ = risk aversion, σ = volatility, T-t = time horizon, κ = arrival rate
that second term - (2/γ)ln(1 + γ/κ) - is the profit extraction piece retail never sees
you've never been on the right side of a spread - you've been the inventory problem they were solving
REVERSE ENGINEERING WINTERMUTE'S $100M MARKET MAKING WALLET ON HYPERLIQUID
One thing nobody talks much about is that, since everything is on-chain, you can just LOOK with your own HUMAN EYES at what the tier 1 market makers like Wintermute are doing on Hyperliquid (or fetch it with a Claude script like me). Positions, Balances, Orders, everything.
Wintermute's Wallet: 0xecb63caa47c7c4e77f60f1ce858cf28dc2b82b00
I pulled Wintermute's full account state on Hyperliquid - positions, balances, and open orders. Here's the complete breakdown.
---------------------------
1/ THE SETUP
Wintermute runs a ~$95M operation on Hyperliquid:
- $57.8M perp account
- $37.4M in spot holdings
- 1,732 resting orders
- 76 markets quoted
- $199M total quoted notional
Wallet: 0xecb63caa47c7c4e77f60f1ce858cf28dc2b82b00
---------------------------
2/ QUOTING OVERVIEW
Total bid notional: $101.7M (51%)
Total ask notional: $97.2M (49%)
---------------------------
3/ TOP MARKETS BY QUOTED NOTIONAL
BTC: $78.1M (105 orders, 0.96 bps min spread)
ETH: $32.0M (103 orders, 2.19 bps min spread)
SOL: $14.1M (54 orders, 1.39 bps min spread)
HYPE: $9.7M (27 orders, 23.8 bps min spread)
XRP: $9.6M (58 orders, 8.07 bps min spread)
DOGE: $9.1M (38 orders, 4.18 bps min spread)
---------------------------
4/ THE TIERED SIZE STRUCTURE
Wintermute uses up to 11 size tiers per market with a consistent 2.5-2.8x multiplier (geometric) between tiers.
Smaller sizes near mid with tight spreads.
Larger sizes further out with wider spreads.
---------------------------
5/ BTC QUOTING LADDER
Distance Size Notional
0.001% 0.05 BTC $4.7K
0.003% 0.11 BTC $10.3K
0.010% 0.37 BTC $34.6K
0.030% 2.67 BTC $250K
0.080% 13.4 BTC $1.25M
0.200% 27.5 BTC $2.57M
---------------------------
6/ SPREAD ANALYSIS
Large cap (BTC, ETH): 1.6 bps avg spread
Mid cap (SOL, XRP, etc): 8.2 bps avg spread
Small cap: 45 bps avg spread
Tighter spreads = more volume expected
Wider spreads = adverse selection protection
---------------------------
7/ INVENTORY POSITION
Total perp positions: 83 markets
Net exposure: $177M SHORT
This is accumulated inventory from market making, not a directional bet.
They're quoting across venues and inventory accumulates where the flow is. Offset on other CEXs/DEXs.
---------------------------
8/ TOP POSITIONS (accumulated inventory)
ETH: $88.3M SHORT
SOL: $22.2M SHORT
HYPE: $21.2M SHORT
XRP: $8.8M SHORT
DOGE: $5.7M SHORT
BTC: $2.0M LONG
---------------------------
9/ SPOT HOLDINGS
UBTC: $9.5M
USDC: $9.1M
UETH: $6.4M
HYPE: $4.2M
USDH: $2.2M
USOL: $2.2M
USDT: $1.7M
Total spot: ~$37M
---------------------------
Lots more you could glean from the available data but I'll leave it there for now. Also it's not really "reverse engineering" since it's just saying what their balances and orders are. But I'm going for clicks here.
Data source: Hyperliquid public API
Analysis: January 2026
Live View: https://t.co/nkpjojR59y
Full Raw Data & Graphics: https://t.co/K0jgDRaW0g
I’ve got a gift for you all this weekend. 🎁📊
A sleek, simple, and incredibly accurate Magic Hour indicator.
Why free? Because I am tired of seeing good traders get scammed by people charging hundreds for badly built code.
Moving forward, I will be open-sourcing massive amounts of quantitative edge.
I need a favor: Drop a Like, RT, and Comment. Let’s push this to the timeline and save other traders from falling into traps.
Let's elevate the standard together. ⚡️
I will be dropping the file and full setup guide inside the Midnight Quant Society.
Join the movement: https://t.co/jRz6Ex1S83
#FuturesTrading #ES_F #TradingCommunity #SmartMoney #NQSTATS #ICT
🚨 DR. WILLIAM MAKIS' UPDATED IVERMECTIN & FENBENDAZOLE CANCER PROTOCOL IS GETTING PEOPLE TALKING
Cancer patients aren't saving this chart because it's controversial.
They're saving it because they're looking for answers.
And according to Dr. William Makis, one of the biggest mistakes people make is assuming every cancer case should follow the same protocol.
That's why his updated protocol doesn't use one dose.
It uses FOUR.
👇
The goal?
To adjust dosing based on:
📊 Cancer aggressiveness
📊 Tumor burden
📊 Metastatic spread
📊 Overall prognosis
📊 Individual response
━━━━━━━━━━━━━━
🟢 LOW DOSE
IVERMECTIN
≤ 0.5 mg/kg
3x per week
FENBENDAZOLE
222 mg/day
3 days on, 4 days off
Often discussed for:
• Remission support
• Prevention
• Strong family history
• Higher risk individuals
━━━━━━━━━━━━━━
🟡 MEDIUM DOSE
IVERMECTIN
1.0 mg/kg daily
FENBENDAZOLE
222 mg/day
6 days per week
Often discussed for:
• Most active cancers
• Common starting approach
━━━━━━━━━━━━━━
🔵 HIGH DOSE
IVERMECTIN
2.0 mg/kg daily
FENBENDAZOLE
444 mg/day
6 days per week
Often discussed for:
• Aggressive cancers
• Brain cancers
• Leukemia
• Pancreatic cancer
━━━━━━━━━━━━━━
🔴 VERY HIGH DOSE
IVERMECTIN
≥ 2.5 mg/kg daily
FENBENDAZOLE
888 to 1000 mg/day
6 days per week
Often discussed for:
• Extensive metastatic disease
• Poor prognosis cases
━━━━━━━━━━━━━━
💡 Additional Protocol Notes
✅ Many patients combine Ivermectin and Fenbendazole
✅ Some alternate Fenbendazole with Mebendazole
✅ Fenbendazole is commonly taken with fatty meals
✅ Liver support is frequently discussed
✅ Long term use and monitoring are commonly emphasized
━━━━━━━━━━━━━━
🔬 What Makes This Protocol Different?
It's not the dosages.
It's the idea behind them.
Dr. Makis argues that cancer isn't one disease.
A patient in remission is different from a patient with widespread metastatic disease.
A slow growing cancer is different from an aggressive one.
And because of that, many people believe a one size fits all approach may not always make sense.
That's one reason why interest in repurposed medicines continues to grow.
🔬 Researchers have spent years investigating how compounds like Ivermectin and Fenbendazole may interact with:
• Cancer metabolism
• Cancer stem cells
• Mitochondrial function
• Tumor signaling pathways
• Treatment resistance mechanisms
• Cellular energy production
Whether these findings ultimately change clinical practice remains to be seen.
But one thing is undeniable:
More cancer patients, caregivers, and researchers are discussing repurposed medicines today than ever before.
And that's exactly why charts like this keep getting shared.
📌 Save this chart now. Six months from now, you'll wish you knew where to find it.
🔁 Repost it so more people researching cancer protocols can see it.
💬 Have you been following Dr. William Makis' work on Ivermectin and Fenbendazole?
💊 Many people researching Ivermectin and Fenbendazole have discovered @RxMeds_store.
#Ivermectin #Fenbendazole #CancerResearch #CancerProtocol #RepurposedDrugs #WilliamMakis #RxMeds