Fay

This is the most rigorous Bitcoin paper I've read. I've been studying — and testing — it for 20 days. scientificbitcoininstitute.org/research/publi… Dr. Santostasi and Dr. Perrenod gave us the ruler — and the imagination to see the oscillator. Together: the most falsifiable framework in crypto economics. The Power Law isn't just a model — it's the most precise ruler we have for measuring where Bitcoin stands. Most models describe the past. The Power Law keeps passing tests it was never designed for. "Isn't β=5.69 just curve-fitting?" Fair question. So I ran a test the paper didn't. ━━━━━━━━━━━━━━━━━━━━━━ Materials & Methods ━━━━━━━━━━━━━━━━━━━━━━ Data: Daily closing price and non-zero balance address count (BitcoinMagazinePro, 2010-08-17 to 2026-06-04, n=5,771). Model: log₁₀P(t) = log₁₀A + β·log₁₀(t) where t = days since Genesis Block (2009-01-03). Out-of-sample design: The power law was fitted exclusively on data up to the freeze date, with zero observations from the test period used in estimation. Two freeze points were tested: ① Freeze at 2016-07-08 (2nd halving) Training: n=2,153 | Test: n=3,617 (10 years) ② Freeze at 2020-05-10 (3rd halving) Training: n=3,555 | Test: n=2,215 (6 years) Residuals computed as: ε = log₁₀(P_observed / P_predicted) normalized by in-sample σ. Mean residual and area integrals (trapezoidal rule) applied to test period only. The out-of-sample test was my idea. Computation and analysis executed with Claude Opus 4.8 (Anthropic). ━━━━━━━━━━━━━━━━━━━━━━ Froze the power law using data up to 2016 only (β=5.717). Then measured the following 10 years it had never seen. Result: mean residual −0.05σ. Effectively zero. Frozen at 2020 instead → next 6 years, −0.13σ. Same story. The line drawn in 2016 ran straight through the next decade. That's not fitting. That's forecasting. The Power Law: powerful because it can be broken — and hasn't been. Knowing where we are won't tell us when things will happen — but it tells us exactly what to do now. Buy Bitcoin Now. @Giovann35084111 @moneyordebt @ScientificBTC @saylor @natbrunell #Bitcoin #PowerLaw

@atmawiratna_ #cityunited wkwkwkw inget banget hashtag ini

Ko bisa sih sama rival sekota saling banter? Bukannya harus saling dukung ya 🤔

People are genuinely scared to build leverage positions. Every time OI has reached lower levels and the market has been significantly deleveraged, it has coincided with a HTF $BTC bottom more times than not. Big players take advantage of situations like this.

@BlueboyNk Ffs he is playing in the bundesliga, send him back to the premier league and see his ass sweat crazy

If VLC isn’t working on your phone, there’s a site that streams directly without any setup. iptv.garden - No ads - No signup - Unlimited free IPTV channels This will also work on your SmartTVs You’re welcome!

Indikator bottom winrate 100% telah tiba. Udah kejadian 2 cycles (8 tahun) berturut-turut. Di save nih biar ga lupa.

@Indo_Gunner Faktor homegrown

Kenapa harga Saliba lebih mahal dari Gabriel ? Ada yg bisa menjelaskan ?

🚨 HERE'S WHY BITCOIN IS NONSTOP DUMPING RIGHT NOW If you still think $BTC trades like a supply-and-demand asset, you MUST read this carefully. Because that market no longer exists. What you're witnessing right now is not normal price action. It's not "weak hands." It's not sentiment. And it's definitely not retail selling. Most people have no idea what's actually happening. And by the time it becomes obvious, the damage is already done. This collapse didn't begin today. It's been developing quietly beneath the surface for months. And now it's gaining traction. Here's the reality: The moment supply can be synthetically created, scarcity disappears. And when scarcity disappears, price stops being discovered on-chain and starts being dictated by derivatives. That is exactly what happened to Bitcoin. And it's the same structural shift that already happened to: → Gold → Silver → Oil → Equities The original Bitcoin thesis is broken. Bitcoin's valuation was built on two foundations: → A hard cap of 21 million coins → No rehypothecation That framework ended the moment Wall Street layered this on top of the chain: → Cash-settled futures → Perpetual swaps → Options → ETFs → Prime broker lending → Wrapped BTC → Total return swaps From that point, Bitcoin supply became theoretically INFINITE. Not on-chain. But in price discovery, which is what actually matters. Synthetic Float Ratio (SFR). The metric that explains everything. Once synthetic supply overwhelms real supply, price no longer reacts to demand. It reacts to positioning, hedging, and liquidation flows. Wall Street can now trade against Bitcoin. They're not guessing direction. They're doing what they do in every derivatives-dominated market: 1⃣ Create unlimited paper BTC 2⃣ Short into rallies 3⃣ Trigger liquidations 4⃣ Cover lower 5⃣ Repeat This isn't "speculation." It's inventory creation. They've effectively turned Bitcoin into a market where supply can be created on demand. And they literally print their own Bitcoin out of thin air. One real BTC can now simultaneously support: → An ETF share → A futures contract → A perpetual swap → An options delta → A broker loan → A structured note All at THE SAME TIME. That's six claims on one coin. That is not a free market. That is a fractional-reserve pricing system wearing a Bitcoin mask. Ignore it if you want, but don't pretend you weren't warned. I've been calling Bitcoin tops and bottoms for over a decade now, and I'll do it again in 2026. Follow and turn on notifications before it's too late. You don't want to miss my next call.

$BTC — Swing Long Entry: 59.5K Invalidation: 47.8K TP: 94.4K

MOVING AVERAGES STRATEGY: 1. Understand the Basics What is a Moving Average (MA)? A moving average smooth's price data to identify trends. Types: 1.Simple MA (SMA) and Exponential MA (EMA). 2. Types of Moving Averages Simple Moving Average (SMA): Average prices over a specific time. Less responsive to recent price changes. Exponential Moving Average (EMA): Gives more weight to recent prices. More sensitive to short-term price movement. 3. Common Time Periods Short-Term: 5, 10, 20-day MAs Medium-Term: 50-day MA Long-Term: 100-day, 200-day MA 4. Key Strategies a) Golden Cross 50-day MA crosses above 200-day MA → Bullish signal (Buy) b) Death Cross 50-day MA crosses below 200-day MA → Bearish signal (Sell) c) MA Crossover Strategy Buy when short-term MA crosses above long-term MA. Sell when short-term MA crosses below long-term MA. d) Support & Resistance MAs act as dynamic support during uptrends and resistance during downtrends. e) Trend Confirmation Price above MA = Uptrend Price below MA = Downtrend 5. Advanced Techniques Double/Triple MA Strategies: Use combinations like 20-50-200 EMAs for refined signals. MA Envelope/Bands: Measure volatility by plotting % bands above/below an MA. Confluence Zones: Look for overlap between MA signals and other indicators like RSI, MACD. 6. Timeframe Considerations Use different MAs based on trading style: Scalping: 5-min or 15-min with 5/20 EMAs Day Trading: 1H to 4H with 20/50/100 MAs Swing/Position Trading: Daily/Weekly charts with 50/200 MAs 7. Risk Management Use stop-loss below moving average. Combine with volume and confirmation indicators. Never rely on MAs alone – avoid false breakouts. 8. Backtesting and Optimization Test different MA periods on historical data. Adjust for asset volatility and trading style.

Never forget my Monday strategy. It's been a while since I mentioned it, mainly because it works best when I don't talk about it. Which is good for me personally 😅 Observe $BTC 's narrative into Monday > combine it with market structure & trigger inverse the narrative.

1/ Where is the #Bitcoin bottom? $BTC has fallen to $62K, nearly 50% below its ATH and down 24% in a month. Price has now worked through the upper rungs of our pricing framework, moving into the cluster of valuation levels where past cycles have found their floor. 🧵

Gila sih. Salah satu file paling berpengaruh di dunia AI coding saat ini ternyata cuma sekitar 65 baris. 🤯 CLAUDE.md milik Karpathy baru saja naik ke posisi #1 GitHub Trends. 220.000+ stars. Dan lucunya, kebanyakan developer bahkan belum pernah membacanya. Yang bikin menarik? Bukan tool baru. Bukan model baru. Bukan framework baru. Cuma 4 aturan sederhana: 🧠 Think before coding Jelaskan asumsi yang dipakai. Kalau nggak yakin, tanya. Jangan asal nebak. ✂️ Simplicity first Tulis kode sesederhana mungkin untuk menyelesaikan masalah. Jangan bikin kompleksitas yang nggak diminta. 🎯 Surgical changes Jangan sentuh bagian kode yang nggak ada hubungannya dengan request. Setiap perubahan harus punya alasan yang jelas. ✅ Goal-oriented execution Ubah instruksi yang ambigu menjadi target yang bisa diverifikasi sebelum mulai ngoding. Dan menurut klaim yang beredar... Prinsip-prinsip sederhana ini membantu meningkatkan akurasi AI coding dari sekitar 65% menjadi 94%. Kadang yang bikin hasil AI jauh lebih bagus bukan model yang lebih besar. Tapi konteks dan aturan kerja yang lebih jelas. 65 baris. 4 aturan. Dampaknya luar biasa. 🚀 Save dulu sebelum tenggelam di timeline.

Hermes Desktop emang bener bener meruntuhkan tembok tinggi yang selama ini ada untuk belajar AI Agent Sekarang lebih simple Akses ke teknologi nya sudah lebih mudah Masih gamau belajar? Jangan salah kalo nanti tertinggal dengan competitor lain yang udah fasih beginian

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Link langsung: github.com/Sophomoresty/g… Catatan: Ini memanfaatkan web interface + cookie, jadi tetap ikuti aturan Google. Cocok untuk penggunaan pribadi & development. Kalau kamu bayar Gemini AI Pro, coba repo ini dan kasih tau: Model apa yang paling sering kamu pakai? Dan tool apa yang paling pengen diintegrasikan? Comment di bawah 👇

this is exactly how i'm going to make $100k from the world cup. what people don't realise is that this means so many more people will be on youtube and more views = more $$$ like/comment "start" and i'll send you my free breakdown/guide vid x.com/FIFAWCHQ/statu…

🚨 Joachim Klement, the mathematician who successfully predicted the last three World Cup winners, believes the Netherlands will be crowned champions in 2026. 🇳🇱🏆 His model factors in everything from population size and GDP to FIFA rankings and football culture and it forecasts an all-European semi-final line-up, with Portugal beating England and the Netherlands overcoming Spain in the semi-final setting up a Netherlands vs Portugal final. 👀 The prediction also includes several major surprises, including Japan eliminating Brazil in the Round of 16 and Portugal knocking out Argentina on their route to the final. 🤯 (Source: @DiarioOle)

@BeritaArsenal soalnya bahas tim sendiri ga dibayar om elon wkwk

Bahas MU vs bahas Arsenal. Lihat aja jumlah respon dan viewsnya, sekarang tahu kan, kenapa doyan bahas yang mana, yang bisa buat mereka ramai. 😌😌😌😌😌

“I don’t even know what our rivals are doing… this year they’ve been participating. That’s it!” Noni🤣🤣🤣🤣🤣