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Bitwise CIO Reveals What ETF Flows Show
Bitcoin is down over 45% from its October 2025 peak, spot crypto fund AUM has dropped to $130 billion, and roughly 40% of spot Bitcoin ETF holders would need a 50% recovery just to break even.
But according to Bitwise CIO Matt Hougan and GraniteShares CEO Will Rhind in a recent CNBC interview, the people selling are not who most expect.
📊 ETF Investors Are Not Driving the Bitcoin Sell-Off
Net outflows from Bitcoin ETFs have been roughly $7 billion, a small number compared to total AUM.

Most of the decline comes from price drops, not redemptions.
👉 The primary sellers are long-term, original crypto holders who built positions over 15 years and are now trimming.

👉 On the other side, financial advisor channels have been buying the dip.
Hedge funds and short-term traders within the same ETFs are the ones creating outflows, which masks the advisor-side buying entirely.
Hougan described it as two different markets inside the same product:
⚡ Fast money trading the next month🧱 Long-term allocators investing over 4–5 years

🥇 Gold Puts Pressure on Bitcoin
Gold breaking past $5,000 an ounce while Bitcoin falls has made things harder for crypto investors.
Rhind addressed it:
“It’s tough to be a Bitcoin investor or crypto investor right now when you look at the price of gold going through $5,000 an ounce… the precious metals thing has really caught crypto investors sort of off guard. This is not supposed to happen.”

🐻 This Bitcoin Bear Market Looks Different
In past bear markets, Bitcoin retraced 77–85%.

This time, the drawdown sits at around 50–52%.
Hougan said ETF-based long-term holders may be the reason for the shallower drop, acting as a price floor even if they have not prevented major losses.
Outflows have also slowed to just under $200 million despite heavy price pressure, which has historically signaled a possible turning point.
(This behavior aligns closely with recent ETF cost-basis stress discussed in earlier market breakdowns around the $80,000 level.)

🏦 Wall Street Firms Open Doors to Crypto
All four major firms — Morgan Stanley, Merrill Lynch, Wells Fargo, and UBS — now allow exposure to crypto products.
Morgan Stanley has filed to launch its own spot Bitcoin ETF after clearing its roughly 15,000 financial advisors to pitch existing products.

Hougan said a sharp recovery is unlikely.
“Usually these bear markets sort of die in exhaustion, not excitement. I would expect it to sort of bottom out slowly and then things like Morgan Stanley going all in on Bitcoin will be part of what accelerates us when we’re on the upside,” he said.

If ETFs aren’t panic-selling… and advisors are quietly accumulating…

👉 Who do you think controls the next major move for Bitcoin?

Today was a real eye-opener.
I started to realize that AI confidence levels are not just numbers… they matter A LOT.
🔻 Trade 1 (52% confidence)
Absolute disaster.
I lost -17% of my capital on $BNB

Lesson: Low-confidence trades = high risk.

🔻 Trade 2 (58% confidence)
Still a losing trade, but less painful.
Loss: -9.29% of the wallet on $ETH

Better… but still not good enough.

At this point, I had to adapt.
⚠️ Strategy Shift:
I decided to ONLY take trades with 70%+ AI confidence.
🚀 Trade 3 (78% confidence)
Game changer.
I made +44% on the remaining capital on $BTC
— fully recovering previous losses.

💡 Key Takeaways:
AI is powerful, but confidence level is everythingAnything below 60% is basically gambling70%+ setups = higher probability, better outcomesRisk management + selectivity = survival
This experiment is proving one thing:
👉 It’s not about taking more trades…
👉 It’s about taking smarter trades
Day 4 coming next. Let’s see if consistency holds 📈🔥

Yesterday was the first day of my experiment using Binance AI Pro to generate crypto trading signals.
For those who don’t know, Binance has started introducing AI trading assistants and AI agent tools capable of analyzing market data, futures markets, and trading indicators within the Binance ecosystem to help traders identify opportunities and manage risk.
My goal with this experiment is simple:
Start with 10USDT, follow the signals generated by Binance AI Pro, and document the results for a full week.
What I learned
One thing became clear very quickly:
The prompts you give an AI completely determine the quality of the signals it produces.
At first, my instructions were too vague. I simply asked the AI to scan the market and replicate the positions of top traders.
In theory, that sounds like a good idea. If the best traders are profitable, copying them should work.
But in reality, the result was disappointing.
The AI generated a position that ended up losing.

At that moment, I decided to change my approach. Binance AI Pro, like any other AI system, is extremely powerful—but it needs clear instructions and a structured strategy to perform well.
Changing the approach
So I modified the prompt.
Instead of asking it to follow other traders, I instructed Binance AI Pro to:
• Apply a specific trading strategy
• Use defined technical indicators
• Analyze a clear timeframe
• Identify entries using market structure and liquidity zones
This is the exact framework I’m currently testing, and I’ll share the full strategy at the end of the experiment. If you're interested, just mention it in the comments.
The difference was noticeable almost immediately.
The signals became more structured, more precise, and much more logical. Instead of random opportunities, the AI was now scanning the market using actual trading rules.
And the result?

The next signal produced a winning trade.

Over all I made a net profit of 0.68USDT on day one about 6.8% of my capital this is highly encoraging hope tp continue like this
The real lesson today proved
Binance AI Pro, like any AI tool, is not a magic solution.
It’s better understood as a powerful AI trading assistant that can analyze markets, futures data, and indicators in real time to help traders find potential opportunities.
But just like any advanced tool, its performance depends heavily on how well you define the strategy you want it to execute.
If your instructions are vague → the results will be vague.
If your instructions are structured → the signals become much more refined.
The experiment continues
This is only Day 1.
Over the next few days, I’ll continue testing Binance AI Pro signals with the $10 account, refining the prompts and documenting every trade — wins and losses included.
Let’s see whether this AI-assisted approach can consistently grow the account.
Stay tuned for Day 2… it’s full of ups and downs 😂🥲
#BinanceAI #cryptotrading #AITrading

The crypto market never sleeps, but humans do. Most traders fail not because of a lack of data, but because of emotional bias and information overload.
As part of the #AIBinance OpenClaw challenge, I have developed ClawTrader AI—a sophisticated AI assistant designed to bridge the gap between complex market data and profitable execution on Binance.
🦞 The Vision: Why OpenClaw?
Built using Binance’s OpenClaw framework, ClawTrader AI acts as a 24/7 market sentinel. It doesn't just "guess" price action; it processes multi-dimensional data points from Binance’s suite of products to deliver high-precision, actionable signals.
🛠️ How ClawTrader AI Solves the Trader’s Problem
Trading on Binance Perpetuals requires speed and discipline. ClawTrader AI removes the friction by:
Eliminating Emotional Fatigue: The AI executes based on mathematical models, ensuring you never "revenge trade" or "FOMO" into a position.
Advanced Sentiment Analysis: By monitoring Top Trader Sentiment and Whale Activity in real-time, the bot identifies where the "smart money" is moving before the trend fully develops.
Built-in Risk Management: Every signal comes with a strictly calculated Risk/Reward (RR) ratio of 3.0+, automatically generating Entry, Stop-Loss, and Take-Profit levels.
📊 A Day in the Life of ClawTrader AI
What does the assistant "think" about throughout the day?
Scanning: Continuously monitors Binance Perpetual pairs ($BTC, $ETH, $BNB, $XRP, and more).
Triggering: When a confluence of high volume, whale buy-walls, and bullish sentiment occurs, ClawTrader AI triggers a "LONG" signal.
Optimizing: It adjusts confidence scores (e.g., 65% for $DOGE or 50% for $PIXEL) based on market volatility to help users size their positions correctly.
🚀 Enhancing the Binance UX
ClawTrader AI isn't just a bot; it's a Product/UX improver. It simplifies the complex Binance trading interface into a streamlined, conversational, or signal-based format via Telegram, making professional-grade trading accessible to everyone.
💡 Project Details at a Glance:
Project Name: ClawTrader AI
Goal: To provide a high-conviction Trading Copilot for Binance Futures users.
Framework: OpenClaw AI Assistant.
Key Features: Whale tracking, Sentiment Analysis, Auto-RR Calculation.
Trading isn’t a game of luck—it’s a game of data. By leveraging OpenClaw, I’m helping Binance users trade smarter, not harder.
Let’s build the future of AI-driven finance together! 🚀🦞

#AIBinance #OPENCLAW #tradingAI @Binance_Square_Official

After briefly reclaiming $70,000, $BTC dropped over 3% as global markets reacted to the closure of the Strait of Hormuz — a key artery for global oil supply. But this isn’t just a crypto story. It’s a macro shockwave.
Let’s break it down.
🌍 What Triggered the Sell-Off?
The escalation in the Middle East and the shutdown of the Strait of Hormuz sent oil prices sharply higher. That instantly revived inflation fears and risk-off behavior across markets.
Here’s how major assets reacted:
Stocks: Both the S&P 500 and Nasdaq Composite fell roughly 2%.Gold: Instead of acting as a safe haven, gold weakened — even testing key psychological levels near $5,000.Bitcoin: Dropped 3.2%, losing $70K support and revisiting the $66K zone.
When oil spikes → inflation fears rise → liquidity tightens → risk assets suffer.
Bitcoin was no exception.

📉 Why $70,000 Matters for BTC
Technically, Bitcoin once again failed to flip key resistance levels into support.
According to Keith Alan of Material Indicators:
BTC lost the 2021 top level againIt slipped below the 21-day SMAMomentum failed to build after Monday’s rally
This structure resembles the March–November 2024 consolidation phase — months of sideways chop under heavy macro pressure.
The message? Bears still have short-term control.

🛢 Oil vs Bitcoin: A Macro Relationship
Historically, rising oil prices hurt Bitcoin in the short term.
Why?
Higher oil → higher inflation expectationsHigher inflation → tighter monetary conditionsTighter liquidity → pressure on speculative assets
This dynamic has played out again.
But here’s the twist…
🪙 Gold Is Weak — Could Bitcoin Benefit?
Gold failing to hold strength during geopolitical escalation is unusual. Nik Bhatia described it as “technically damaged.”
Earlier this year, analysts discussed how losing a major support level (like BTC losing $80K in a previous macro scare) can trigger deeper liquidations and ETF-driven outflows .
Now, the current battle zone is $70K instead of $80K — but the psychological structure is similar:
Lose a major supportTrigger liquidationsIncrease institutional pressureInvite deeper liquidity sweeps
However, some traders point out something interesting:
Bitcoin is not underperforming dramatically.
It’s roughly moving in line — or slightly better — than equities and precious metals.
That relative strength matters.
If gold continues weakening and risk appetite returns, capital rotation into BTC becomes a real possibility.

🔎 What Happens Next?
Here are the key levels to watch:
🟥 Bearish Scenario
Failure to reclaim $70KBreakdown toward $66KPotential continuation toward deeper liquidity pockets
🟩 Bullish Scenario
Strong reclaim of $70KFollow-through volumeCorrelated bounce with equities
The real signal of strength?
Bitcoin leading the rebound — not just following stocks.
⚡ Bigger Picture
This is no longer just a crypto cycle.
Bitcoin is trading as a macro asset.
Oil shock → BTC dropsInflation fears → BTC pressuredLiquidity tightening → BTC weakensRisk-on rebound → BTC recovers
The question isn’t whether volatility continues.
The question is:
👉 Does Bitcoin act like digital gold…
or does it remain a high-beta risk asset?
Right now, the market is still deciding.

$BTC is falling — and most people are panicking.
Traders? We’re watching $58K.
Why? Because this isn’t a random level. It’s a powerful confluence:
0.618 Fibonacci retracement (the golden ratio — strongest FIB level)200-week moving average (a level institutions respect across crypto, stocks, gold, forex)
BTC recently came close to this zone but didn’t touch it. In trading, unfinished levels usually get revisited. That’s why another drop is very possible.
But this time? It could be a buying opportunity.
If price taps $58K, we could see a bullish RSI divergence — one of the strongest reversal signals in crypto. That combination could trigger a strong bounce.
🎯 First target: $73K
If momentum builds, we go higher.
Now let’s stay real:
On the daily chart, Bitcoin is still very bearish.
The 20, 50, 100, and 200 MAs are all above price and pointing down. For a true bullish shift, price would need to reclaim around $98K.
So right now, this is a trader’s market — not a blind investor’s market.
Do you have buy orders ready?
Do you have a risk plan?
Or are you just watching?
Comment your altcoin and I’ll analyze it. Let’s trade smart.