BTC to 1 million
890 posts
BTC to 1 million
@ff_get_me_out
Logging BTC and Market Analysis
Worldwide Katılım Eylül 2017
716 Takip Edilen56 Takipçiler
Andrew Tate (@Cobratate), who's been liquidated 107 times, is back!
He opened a 40x long on 57.36 $BTC($3.76M).
Liquidation price: $65,215.87
#perps" target="_blank" rel="nofollow noopener">hypurrscan.io/address/0xB78D…
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This should terrify every game studio.
Rockstar:
• 8 years
• $1 billion
• Thousands of employees
Claude Fable 5:
• 10 hours
• 4M tokens
• No office
The economics of game development just changed forever.
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🚨 Someone built an AI that reads candlestick charts the way GPT reads English.
Trained on 12 billion records from 45 exchanges. Outperforms every model by 93%. Live BTC demo. Free.
It's called Kronos.
The first open source foundation model built for financial markets. Not a general AI repurposed for finance. An AI that speaks the native language of candlestick patterns.
Every other model treats financial data like weather data. Kronos treats financial data like financial data.
Here's what it does:
→ Price forecasting. Feed it candlesticks. It predicts where price goes next.
→ Volatility prediction. Forecasts how volatile an asset will be before it happens.
→ Zero-shot. No fine-tuning. Works on any asset, any market, any timeframe.
→ 45 exchanges. Binance, NYSE, NASDAQ, LSE, and 41 more.
→ 4 model sizes. 4M params runs on a laptop. 499M for max accuracy.
→ Live demo running right now. BTC/USDT. 24-hour forecast. Updated hourly.
Here's the wildest part:
→ 93% more accurate than the leading time series model
→ 87% more accurate than the best non-pretrained baseline
→ All zero-shot. No fine-tuning. Out of the box.
Hedge funds spend millions on proprietary models. Bloomberg Terminal costs $24,000/year.
This runs on your laptop. Few lines of Python. Free.
Built at Tsinghua University. Accepted at AAAI 2026. Models on Hugging Face.
11.6K GitHub stars. 2.4K forks. MIT License.
100% Open Source.
Get it here on GitHub: github.com/shiyu-coder/Kr…
🚨Want to learn Algorithmic Trading Strategies (that actually work)?
On June 25th, we are hosting a free workshop to help you get started with algorithmic trading with Python.
Register here (500 seats): learn.quantscience.io/join
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BTC to 1 million retweetledi
Well, I did warn that Zcash ($ZEC) was developed from technology originating at Tel Aviv University, involved a venture-funded private company that charged a 15% founders’ tax on mining, had prominent Zionist investors such as Barry Silbert, and relied on assurances from Zionists such as Peter Todd that the keys had been destroyed.
Based on those factors, I viewed it as a questionable Mossad honeypot.
You can search my history for warnings about this one.
Watcher.Guru@WatcherGuru
JUST IN: Zcash crashes 48% after Claude AI finds critical vulnerability allowing unlimited minting of $ZEC. It went unnoticed for 4 years until it was patched on June 1st.
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BTC to 1 million retweetledi
Paris currently looks like a war zone.
North African gangs are blocking the streets and destroying everything in sight following PSG winning the Champions League.
Total chaos.
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🚨 Hyperliquid = Apple
and $HYPE is the only token that will survive
Why?
Hyperliquid model = Apple model
iPhone sold -> Money made -> Spent on buybacks
Trade done -> Fees taken -> Spent on buybacks
They both have 1:1 model and as long as business generates cahs,
both Apple shares and $HYPE token will raise in price.
Buying any token that instead of this model has endless unlocks = guaranteed long term money loss
I know a token that will have the same model.
Ready to deploy 7 figs there.
Need a ticker?
Kalshi Crypto@Kalshi_Crypto
BREAKING: Hyperliquid flips Solana in fully diluted valuation
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@solo_dio_ Was expected by the RBA in their recent statement "The unemployment rate remains low but is expected to increase a bit."
Rates will go up.
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Australia is reverse Robin Hood on steroids.
Steal from the poor, give to the rich. The system isn’t broken. It’s working exactly how the rich designed it.
We tax wage‑earners into the dirt, slash funding for housing, hospitals, and disability, and then hand the money back to property owners, super‑whales, and corporations as “tax relief”.
Sure, they tweaked negative gearing and CGT, but anyone who already owns assets still wins big. Average renters, first‑home buyers, and low‑income workers get the bill.
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$AUDUSD
The RBA minutes just flipped the rate differential narrative against the USD. This comes at a critical time, as US rate markets actively toy with the idea of Fed rate hikes
This macro shift poses a massive risk to the record high net AUD long speculative positioning. Keep a very close eye on the upcoming COT data.
📉 Technical Setup to Watch
Trigger: Looking for a clear change in market structure.
Level: A daily close below 0.7100 confirms the breakdown
⚡ Core Framework
* Structure: Shifting bearish below key support.
* Momentum: Accelerating down as the differential flips.
* Volatility: Expanding as longs get trapped.
* Positioning: High risk of a major COT liquidation
Tom Capital@Tom__Capital
$AUDUSD The Australian Dollar has broken its 14-year downtrend. Speculative longs are sitting at 10-year highs. The RBA is the most hawkish major central bank on the planet, still delivering rate hikes, with ~35bp still priced into the curve. AUDUSD is printing fresh yearly highs. So how exactly are you supposed to be bearish? First, all of the above is 100% true, and it’s already fully reflected in price. I don’t approach longer-dated macro trades with a simple “bullish or bearish” mindset. I’m actively building a short AUDUSD position precisely because markets are forward-looking. Yes, higher-timeframe price structure is clearly in an uptrend right now. But just like none of these bullish factors were “obvious” when AUD ripped from the 0.65 lows (a move I completely missed on the long side), the narrative will flip the moment the trend turns. What’s required is a shift in structure,momentum, volatility, and positioning. Price will eventually fail where it “shouldn’t.” The signs will be subtle at first. By the time they’re obvious to everyone, you won’t want to short AUD… because it’ll already be 500+ pips lower and I will be taking profits I’ve already laid out my full macro case for being short AUD. Now I’m simply waiting for the tape to align. In the meantime, I’ll keep scaling into the position with tight risk management. Markets don’t reward the obvious. They reward the patient. PS the above applies to any asset, index etc
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BREAKING: Iran has launched "Hormuz Safe," a Bitcoin-backed insurance service for shipping companies that want to transit the Strait of Hormuz.
Details include:
1. The Iranian government says it could generate more than $10 billion in revenue from the program
2. The service will be for "Iranian shipping companies and cargo owners"
3. "The shipment will be covered from the moment of confirmation and signed receipt will be given to the owner," Iran says
4. It is unclear if this insurance service will be charged in addition to tolls, which have been as much as $2 million per ship
Iran says an official website with more information is "coming soon."
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🚨 PM Netanyahu: "If this [Iranian] regime is indeed weakened or possibly toppled, I think it's the end of Hezbollah, it's the end of Hamas, it's probably the end of the Houthis."
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THE 3 FORMULAS TO WIN ON POLYMARKET
1. Avellaneda-Stoikov - the foundation of every quant market making desk
Reservation price:
r = s - q x γ x σ² x (T - t)
Optimal spread:
δ = γσ²(T-t) + (2/γ) x ln(1 + γ/κ)
Adapted to prediction markets via log-odds:
logit(p) = ln(p / 1-p)
2. Empirical Kelly with Monte Carlo - sizing without ruin
Naive Kelly assumes you know your edge exactly. You don't.
Run 10,000 Monte Carlo paths. Target the 95th percentile drawdown.
f_empirical = f_kelly x (1 - CV_edge)
High uncertainty = aggressive haircut to position size.
3. VPIN - detecting when informed traders are in the market
VPIN = |V_buy - V_sell| / (V_buy + V_sell)
VPIN rising: widen spreads.
VPIN spiking: withdraw quotes entirely.
There is no spread wide enough to quote into fully informed flow.
Full breakdown of all 5 formulas in the article below👇
Atlas@crptAtlas
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A CHINESE QUANT ALLEGEDLY MADE $500K TRADING OIL ON POLYMARKET USING AI.
The system combines Claude, OSINT scraping, and simulation models to track geopolitical news and predict oil price movements before the market reacts.
You only need Polymarket + laptop + 1 hour/day.
Giving This Free for 24 hours. To get it:
1. Comment the word 'Pathway'
2. Like and Retweet this post
3. Follow me @marryevan999
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Australia’s inflation data drops tomorrow at 11:30AM 🇦🇺
- Previous: 3.7% YoY (March)
- Forecast: 4.8%
What do you think it will come in at?
Big moment for markets, mortgages, and the next #RBA move.
#Australia #Inflation #RBA #PropertyMarket #InterestRates
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@traderzhu I'm in for bull trends only and none of them are showing that yet
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@ff_get_me_out that’s chain fees only
look at app revenue and solana still leads
but hyperliquid is right behind — and that’s basically one app
depends what you value more: infra vs products
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