CRO @Alphractal | PhD in Physics. Ultracold atoms. Interests: condensed matter, epistemology, quantitative finance, economic cycles and crypto markets.

Arch Physicist retweeted
O círculo verde é a próxima parada. O círculo verde ocorre em um ambiente de perspectiva geral de que estamos de fato em uma season alternativa. Deve ocorrer ainda em 2026.
Boa noite! Para bom entendedor, apenas uma imagem é suficiente. Tenham todos uma ótima semana!
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Arch Physicist retweeted
Hoppe destroys Keynesian economics #hoppe
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Arch Physicist retweeted
This chart is a good reminder that the mining industry is generating profits on a scale no other sector in the market can even come close to matching. tavicosta.substack.com/p/a-r…
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"Be fearful when others are greedy, and be greedy only when others are fearful." — Warren Buffett ​"Buy to the sound of cannons, sell to the sound of trumpets." — Nathan Mayer Rothschild
I’m starting to see old crypto exchanges shutting down their operations. I’m also seeing many crypto influencers becoming discouraged, losing interest, and shifting their attention to completely different topics. And, of course, the classic headlines are back again. Hackers here. Hacks there. Fear everywhere. I’ve been watching this market for more than 10 years, and the same stories keep repeating themselves. That is a fractal too. Market cycles repeat, but so do human emotions. Fear, frustration, greed, disbelief, and disappointment often drive people to make decisions based on emotions, especially when the market refuses to confirm their biases or exposes mistakes in their analysis. That is exactly why I keep talking about patience and the importance of trusting metrics with strong historical evidence and reliable backtesting. During the last bull market, we helped thousands of people navigate the market. During this bear market, many people have also thanked us for helping them understand what was happening before the narrative became obvious. So I’ll repeat it again: Stay confident. Stay calm. Be patient. And most importantly, use good data, especially Onchain analysis. I truly believe this is one of the most important keys to long term success when you treat crypto as an investment. I once learned a saying that has stayed with me: Real opportunities to build wealth often live exactly where fear, desperation, and disbelief are at their highest. Think about that. And stay in the Alpha.
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I forgot to mention. It's already available on the platform for subscribers. app.alphractal.com/cryptos/c…
I’ve been working on this metric for some time now. Structural Market Bands uses 100% on-chain data for a model that resembles a physical law more than a statistical model. It’s surprising how blockchain technology enables valuation models with such clearly defined price ranges. I can’t classify these resistance and support levels as “probabilities”; the only concept that fits here is “potential.” There is one limitation: due to the way it is constructed, it is only valid for UTXO-type blockchains. Even so, it is not suitable for all of them. For example, a significant portion of Zcash’s transactions are private, which prevents this calculation from being accurate. Dash’s mining system complicates the calculation for the support zone, making it very imprecise. This metric will soon be available on the @Alphractal platform.
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You can find pure MVRV here: app.alphractal.com/cryptos/c… If you have an Alphractal subscription, you can copy the version with Z-score here: app.alphractal.com/workbench… @Alphractal
Dollar Cost Averaging is the simplest disciplined strategy in the market. Periodic capital deployments regardless of price. Diluting cost basis, protecting against volatility. Benjamin Graham built modern investing on this idea for stocks with solid dividend histories. In crypto, Bitcoin is the only asset with the structural quality that fits the same profile. But without on-chain data, you're guessing WHEN each purchase lands. Three Alphractal metrics reveal the mathematically optimal DCA windows 🧵 — 1/ MVRV — Market Value to Realized Value. A financial oscillator that compares Bitcoin's current nominal price to its historical book value, the exact price at which every circulating coin last moved on the network. It reveals whether the base of investors is sitting on latent profits or losses. Optimization uses a 4-year Z-score standardization, expressing how far the current MVRV sits from its own historical mean, in standard deviations. Z-score below -1 → severe undervaluation → the moment of maximum advantage for DCA execution. The orange circles on the chart mark every historical instance.
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No. It does not use any statistical measures such as mean or standard deviation, let alone regression or Bayesian models. It is derived solely from on-chain data. Basically, it is a mixture of lifespan metrics and market cap.
Just VWAP Bands with 6% standard deviation?
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Arch Physicist retweeted
A Bitcoin structural model built by a PhD atomic physicist just put price inside its support zone. The Structural Market Bands (SMB) — developed by @arch_physicist , Alphractal's Chief Researcher (PhD Atomic/Molecular Physics) — use coin lifespan reliability data to map the price levels where markets reach exhaustion. Two zones: structural resistance (top) and structural support (bottom). The deeper price pushes into a zone, the stronger the counter-pressure that pulls it back. Today's levels: — Price: $64,526 — Structural Midline: $66,704 — Support Upper Band: $61,367 — Support Lower Band: $55,867 — Resistance Lower Band: $72,042 — Resistance Upper Band: $96,426 BTC is sitting right at the top edge of the support zone, below the midline. The model's own rule: entering the support zone during a downtrend means the move is being driven by panic and capitulation — and the counter-pressure to correct back inside grows the deeper it goes. One caveat the model builds in: SMB has to be read with a trend indicator. The support zone means one thing in a downtrend, another in an uptrend. The zone touch is context, not a signal on its own. What's observable: price is in the lower structural region, resistance sits ~11% up at $72K, deep support sits ~14% down at $55.8K. Full chart: app.alphractal.com/cryptos/c…
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Arch Physicist retweeted
3/ Alphractal developed a proprietary metric that bridges both worlds: Structural Market Bands. Inspired by the theoretical concepts of support and resistance from traditional TA but calculated entirely by absolute blockchain data. The metric uses coin lifespan data combined rigorously with short, medium, and long-term market cap movements. Algorithmic processing estimates the price levels where the market reaches its directional exhaustion state. Two vital trading zones emerge: structural resistance and structural support. The key difference from classic TA: broken structural bands do NOT reinterpret levels. Support doesn't automatically become resistance. The analytical integrity stays intact through the entire cycle. Which approach do you use for market structure, traditional support/resistance, on-chain structural, or both? Reply below.
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Arch Physicist retweeted
Alphractal is the first platform in the world to ship this structural rebuild of Liquidation Levels. These are the critical price points where leveraged positions get forcibly closed for insufficient margin. Long positions cluster zones below price. Short positions cluster zones above. The chart maps every active cluster on BTC right now. Here's what changed 🧵
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Arch Physicist retweeted
The MVRV is widely known as a fundamental oscillator for on-chain profitability analysis. It calculates the direct ratio between Bitcoin's market cap and realized cap the average acquisition cost of every circulating coin. — MVRV = 1: financial neutrality. — MVRV < 1: systemic undervaluation. — MVRV > 1: overvaluation and latent profitability. Below 1, the indicator marks every market bottom with precision. The red circles on the chart confirm it. But the same simple logic fails at market tops. Here's why and the statistical fix 🧵
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It's impressive how MVRV continues to be such a powerful metric. All it takes is a little statistical analysis, and the structural bottoms (red) and tops (green)—including the most recent ATH—become visible. Source: app.alphractal.com/cryptos/c…
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I’ve been working on this metric for some time now. Structural Market Bands uses 100% on-chain data for a model that resembles a physical law more than a statistical model. It’s surprising how blockchain technology enables valuation models with such clearly defined price ranges. I can’t classify these resistance and support levels as “probabilities”; the only concept that fits here is “potential.” There is one limitation: due to the way it is constructed, it is only valid for UTXO-type blockchains. Even so, it is not suitable for all of them. For example, a significant portion of Zcash’s transactions are private, which prevents this calculation from being accurate. Dash’s mining system complicates the calculation for the support zone, making it very imprecise. This metric will soon be available on the @Alphractal platform.
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Arch Physicist retweeted
There is nothing more technically bullish than a 40-year resistance level turning into major support. That is exactly where gold miners sit today. Act accordingly. tavicosta.substack.com/p/a-s…
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Bear market is when price is moving from structural top to structural bottom. If there is no panic, this goes from a redistribution plateau to another redistribution plateau. Since October, it has been within the bear market structure. And the real structural capitulation level, only the future can show. Balanced price is just a metric, and I am waiting to see what price level it will reach, which may not happen.
Replying to @Alphractal
People screaming bear market while Bitcoin still trades 2x above structural capitulation levels is peak emotional trading
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Arch Physicist retweeted
Every on-chain metric you've read about Bitcoin — SOPR, MVRV, Realized Cap, Coin Days Destroyed — exists because of one architectural decision: UTXO. Bitcoin doesn't have account balances. It has fragments. Every fragment is timestamped, valued, and traceable. Here's the mechanics, and the metrics built on top of it 🧵 — Bitcoin's architecture is based on an accounting model called Unspent Transaction Output — known in the market by the acronym UTXO. This concept translates as "unspent transaction outputs" and acts as the official mechanism for recording capital ownership on the network. The system manages individual fragments of coins received by users and still pending transfer. The decentralized protocol has a structurally distinct logic from traditional banking institutions. The fiat system is based on updates to unified balances in central accounts. The importance of this model lies in its capacity to ensure the integrity of the digital financial system. Operationally, it works through the continuous destruction and creation of these fragments. Each new transaction necessarily consumes one or more existing fragments as inputs. The process transfers financial value and generates new fragments as outputs — for the recipient and for the structural change — always after deducting network fees. Two operational scenarios illustrate the dynamic: — Scenario 1 (basic transaction): a wallet contains a single fragment of 5 BTC and needs to send 3.15 BTC to a recipient. The protocol consumes and destroys the original 5 BTC fragment and creates two new output fragments: 3.15 BTC effectively transferred to the recipient, and 1.85 BTC returned to the origin wallet as change. — Scenario 2 (complex multi-input transaction): a wallet holds three distinct fragments worth 0.20 BTC, 0.15 BTC, and 0.17 BTC. The user decides to send 0.30 BTC. The system selects and destroys the 0.20 and 0.15 BTC fragments to total 0.35 BTC in inputs. The operation generates a new 0.30 BTC fragment for the recipient and a 0.05 BTC change fragment. The 0.17 BTC fragment remains unused. This architectural mechanism enables analysts to rigorously quantify activity on the blockchain. Each fragment carries with it an exact timestamp and an immutable financial value. Observing this data enables tracking the age of capital, identifying structural accumulation levels, and measuring the temporal behavior of investors.
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Arch Physicist retweeted
On-chain levels map Bitcoin’s price history like no other metric does. And for Bitcoin, price has just reached a key resistance level. Tomorrow we will see whether it has enough strength to break through it. This metric is based on CVDD, but unlike the CVDD used by other platforms, Alphractal’s CVDD was adjusted based on Bitcoin’s issuance eras rather than a fixed value. Full credit for this improvement goes to @arch_physicist!
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