Trader. Dev in Web3. Shipping product over hype 🚀 Rust / Smart Contracts / ML
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$BTC Corrected to $81,000
Over the past day, we observed slight selling pressure, which brought the asset back below the MA200 moving average, as well as a retest of the $81,000 area.
So far there is no active buying back, but I don't think we will go much lower in the near future — at most we'll wick the $80,000 support.
This level is key in favor of the uptrend, so it's important for us to hold it. Let's watch the dynamics in the near future and the buyer's reaction to this mark, but I remain optimistic.
How do you handle situations when a fundamentally strong project goes through a deep correction before the real revaluation begins?
Pretty wild how I somehow always manage to have bought the top performing tokens and tweeted/wrote thesis on them so many times while they just get rvped -98% then after I sell they become the future of finance on whatever chain they are on lmfao.
Happened with Stocker and they vamp it a couple days later then a few weeks later everyone loves it.
Now Vrax, same fken story.
There are so many between lol… I’m just gonna start only trading on anon wallets but use both pump and fomo to talk about anything cool I’m seeing/researching(will probably buy less than 2% of what I talk about tbh).
Do you consider the "boring" buy-and-hold of fundamental assets to be the best setup for the remainder of Q4?
The sell-off in the US stock market demonstrates how vulnerable traditional stocks are to shifts in macroeconomic sentiment. When Big Tech loses hundreds of billions in a single session, investors are forced to seek safe havens, which stress-tests the thesis of Bitcoin as a defensive asset during TradFi turbulence.
Will Bitcoin be able to hold key support levels and show independent dynamics amid the correction in the US stock market?
What do you focus on when analyzing weekly ETF flows — the overall aggregate net balance across all funds, or the dynamics of individual altcoin ETFs?
On-Device AI: Why the Cloud Will Take a Back Seat
We're used to generative AI being huge server farms from OpenAI, Google, or Anthropic, processing our requests somewhere "in the cloud." But right now an unnoticed yet fundamental shift is happening: AI is moving locally — onto our smartphones, laptops, and smart devices.
Why is this the main trend of the coming years, and how will it change our interaction with technology?
Absolute data privacy
The main fear of users and businesses is sending sensitive data (personal photos, medical records, commercial documents) to someone else's servers.
With On-Device AI, the neural network runs directly in your device's chip (NPU — Neural Processing Unit).
Your files, voice, and messages never leave the gadget.
Instant response and offline operation
Cloud models depend on connection stability and server load (recall the delays in voice assistant responses).
Local AI responds with zero latency.
It works on a plane, in an underground parking garage, or in a remote forest with no network.
Economics and energy efficiency
Requests to powerful cloud models cost developers billions of dollars in electricity and servers. Moving basic tasks (photo processing, autocomplete, real-time translation, note summarization) onto users' chips reduces the load on data centers many times over.
Hybrid approach: The best of both worlds
The future belongs to hybrid systems:
Simple and fast tasks (process a photo, make a to-do list, translate a dialogue) are handled by a compact local model on the phone.
The most complex computations (write code for a large project, deep data analysis) are sent to the cloud.
What does this mean for us?
Already today, mobile processors from Apple, Qualcomm, MediaTek, and Intel are equipped with powerful neural coprocessors. Your next "super-upgrade" in a smartphone will be not so much the camera lens as the device's ability to process terabytes of your personal information with an understanding gaze right "in your pocket."
Are you ready to entrust local AI with managing all your personal data on your phone, if you were sure it doesn't go out to the network?
The wipeout of short positions worth $95.72M highlights the importance of tracking the liquidation map as the market approaches key resistance levels.
When the market is cleared of overloaded short leverage on BTC and ETH, pricing shifts to spot demand formed by institutional inflows.
What do you rely on when entering a long after a squeeze — spot buy volumes or a pullback in open interest (OI) on futures?
The index's shift toward a value of 58 highlights a rapid change in retail sentiment amid Bitcoin price fluctuations.
For institutions and smart money, neutral sentiment against the backdrop of persisting fundamental factors acts as a signal of market resilience, where a cooled emotional backdrop reduces the risk of an instant squeeze.
What serves as a more reliable guide for you when entering the market — on-chain cost-basis metrics or the dynamics of the Fear and Greed Index?
CryptoQuant's chart highlights a fractal similarity between the current structure and the end of 2025, when BTC was testing the Invested Capital Cost Basis in exactly the same way.
Testing the average entry price of the entire market acts as an important indicator of phase changes: holding this line means the market is ready to digest selling pressure.
Are you waiting for a confident consolidation above $80,500 to confirm bullish momentum, or will the market test levels below once again?
The Future of Ethereum: Not Just a Cryptocurrency, but a Worldwide Supercomputer
If Bitcoin has cemented its status as "digital gold," then Ethereum (ETH) is confidently moving toward the role of the world's settlement layer for the entire global economy. But what awaits Vitalik Buterin's blockchain in the coming years?
We break down the key trends, technological shifts, and prospects.
1. Architecture: The Era of Layer 2 (L2)
Ethereum long ago abandoned the idea of scaling the "main network" (Layer 1) directly by increasing block size. The future of the network is L2 networks (Arbitrum, Optimism, Base, zkSync).
The Ethereum mainnet is turning into an ultra-reliable and secure base layer for the final settlement of transactions.
Users and applications are moving to L2, where transactions cost fractions of a cent and are executed instantly.
2. Modularity and Proto-Danksharding
Developers are systematically implementing the roadmap The Surge, The Scourge, The Verge, The Purge, and The Splurge. The introduction of technologies such as EIP-4844 (Data Blobs) and full-scale Sharding (danksharding) makes data storage for L2 networks as cheap as possible. This is a key step toward throughput of 100,000+ transactions per second.
3. Institutions and TradFi (Traditional Finance)
With the launch of spot ETH ETFs and the tokenization of real-world assets (RWA — Real World Assets), Ethereum has become the main venue for Wall Street:
The largest funds (BlackRock, Franklin Templeton) are already issuing tokenized funds and bonds on the Ethereum base.
Banks and stablecoin issuers (USDT, USDC) use ETH as the primary settlement rail.
4. Deflationary Model and Staking
After the transition to Proof-of-Stake (PoS) and the introduction of the fee-burning mechanism (EIP-1559), ETH became an "ultra-liquid asset" (Ultrasound Money):
During periods of high network activity, the volume of coins burned exceeds the issuance for staking, making ether deflationary.
Staking yield turns ETH into a "risk-free interest rate" for the world of DeFi.
The Main Challenges for Ethereum
Competition from L1 networks: Solana, Sui, and Aptos attract users with ultra-high speed at the base level. Ethereum needs to prove that its L2 ecosystem is more convenient and does not fragment liquidity.
Complexity for the average user: Managing L2 bridges, different networks, and private keys still scares off newcomers. (The solution should be Account Abstraction — making crypto wallets as simple as mobile banks).
The future of Ethereum is not just a battle for the ETH price, but a gradual yet inevitable integration of the network into the global financial backend. ETH is transforming from a venture asset into a systemically important infrastructure foundation of Web3.
What do you think — will the L2 architecture be able to withstand the mass arrival of a billion new users, or is the future with monolithic blockchains?
$MINA: The asset staged an aggressive vertical breakout from a prolonged summer accumulation phase, briefly pushing to new multi-month highs before immediately running into heavy selling pressure at the $0.16 resistance zone.
The recent strong rally was directly driven by the rollout of large-scale mainnet technological upgrades and the integration of new zero-knowledge proof protocols, which substantially boosted the blockchain's throughput.
The ensuing sharp pullback stems from predictable, large-scale profit-taking by major investors and speculators at local highs. In the near term, the most likely scenario is a further decline and a retest of the MA200, though I would not rule out the formation of a sideways range.
The continuous trend of Bitcoin being withdrawn from exchanges reflects the strategic absorption of supply by large players, ETF funds, and corporate treasuries.
When 700,000 BTC settle into custodial balances over 12 months, any new wave of retail or corporate demand will encounter a thin order book and a hypertrophied upward price reaction.
$BTC Finished the week above $80,000.
Globally, everything has already been said about the asset — as long as we are above $80,000, the bullish scenario remains relevant and is the main one. The market is experiencing a catastrophic shortage of liquidity, which there is currently nothing to fill it with, and given the regular talk about a rate hike — it's not worth waiting for it.
Globally, we have parity of forces for both scenarios. I recommend that you refrain from any forecasts and attempts to guess the further movement of the market. Right now no one knows for sure where we will go.
The integration of AI at the level of the largest exchange is the first step toward transferring trading operations to autonomous software agents.
When an agent not only answers questions but also gains the ability to execute orders, manage risk, and interact with on-chain protocols, the trading market changes forever.
Are you ready to entrust the execution of trades and the management of part of your deposit to an autonomous AI agent?
The growth in the number of tokenized stocks on Solana gives retail investors around the world access to the global stock market without geographic restrictions, complex verification, or bank delays.
The ability to buy fractional shares instantly and use them within the Web3 ecosystem changes the very essence of working with securities. Will on-chain trading of tokenized stocks displace traditional brokers in the next 3–5 years?
