mirik

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mirik

@mirik_web3

Driving growth and strategic partnerships in Web3 — reputation first Ex @Shiroi_sol

Katılım Ocak 2022
471 Takip Edilen808 Takipçiler
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mirik
mirik@mirik_web3·
Most crypto people look at BTC as if it's a standalone planet. But crypto is not isolated it's a part of a vast interconnected financial ecosystem. Understanding those links gives you a massive edge. The Trap of Linear Thinking: People often create simple mental models: Fed raises rates - BTC drops Good ETH news - ETH pumps Bitcoin halving -price doubles But markets don’t work linearly. Same events can lead to opposite outcomes depending on context. Sometimes bad news leads to rallies, and good news causes crashes. The system is full of feedback loops, thresholds, and cascade effects. 💸Crypto Doesn’t Exist in a Vacuum: When the Fed hikes rates, capital flows from risk assets into bonds. BTC drops not because of BTC, but because investors rotate to "safer" options. When the dollar strengthens, all alternative stores of value — including BTC and gold — weaken. When stocks crash, crypto often follows, as institutional players dump all risk assets together. ⚠️ Small Causes, Big Effects: A single Elon Musk tweet can move the market by billions. One large liquidation can trigger cascading sell-offs. Crossing a psychological level can activate algos and momentum traders. This system is full of tipping points — stress builds, then discharges explosively. 🧠The Market Is Alive (Literally): The market isn’t just "alive" — it’s a living mechanism that rebuilds itself. Like a biological organism that's both the machine and the engineer of that machine. It adapts, learns, evolves — but still follows internal rules. 🧬When a Strategy Works, the Market Learns to Kill It: Arbitrage opportunities disappear instantly when spotted. Every new strategy is studied by the system, then countered. Algos trade against algos, creating new patterns that get exploited by newer algos. Each player is both a user and a programmer of the game. 🔄Emergent Complexity: From simple buy/sell rules emerge cycles, bubbles, crashes. Nobody programs financial crises — they arise from rational actors interacting within a complex system. The market creates behaviors that no single part was designed for. 🧱The Market Learns From Its Own Failures: Every crash leads to new regulations. Every collapse forces the system to harden. What doesn’t kill the market makes it stronger — more resilient to the same class of shocks. That’s antifragility.
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Yura Gus
Yura Gus@Yura4Gus·
65.7% win rate — is that excellent for AI? I think it’s no longer enough. When an entire army of AI agents is working to make money for you, the bar should be set much higher. IN @RateX_Network , our agents don’t just “trade on signals.” They do the following in real time: Catch thinning liquidity hours before a dump Detect whale distribution and dilution pressure before it appears on the chart Evaluate capital persistence and wallet behavior Deliver an explainable MetaScore AAA → D with full breakdown This isn’t “AI said buy.” This is a full cycle: Detect → Score → Alert → Action With a clear explanation of why the agent made that exact decision. 65.7% win rate is for regular bots in 2024–2025. Our agents already operate at the level of risk-adjusted performance: capital protection + asymmetric returns + minimum emotional mistakes. I switched to this level a long time ago. And you — are you still celebrating 60%+ win rate, or do you also think that in 2026 this is no longer enough?
Ash Crypto@AshCrypto

AI IS GETTING INSANE A guy deployed six AI agents that turned $1,500 into $7,429 in just 7 days, without placing a single trade himself. The system runs 24/7, executing trades automatically. In that time, it completed 105 trades with a 65.7% win rate, while continuously scanning markets, generating strategies, analyzing news, tracking whale activity, managing risk, and executing orders in real time. At this pace, the system is averaging about $847 per day.

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Yura Gus
Yura Gus@Yura4Gus·
The complexity of analysis is truly enormous for a human. One single event → thousands of variables → a chain reaction that’s almost impossible to track manually. But AI can already do what is beyond human capability: See all the key events at the same time, Understand how one leads to another, And literally show the past, present, and future on a single screen. At RateXAI we’re building Event Flow — a map that shows: How one event flows directly into the next With what real probability it leads to the following one Where the market still hasn’t priced in the odds and more x.com/i/status/20372… x.com/Yura4Gus/statu…
everythingempty@everythingempty

predictions markets problems >fragmented liquidity with too many long tail markets around the same theme >complexity in parameters around odds / price per share / slippage / multiple options we believe this is an elegant way for users to express their view in the purest text form and let the ai council decide the distribution

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Yura Gus
Yura Gus@Yura4Gus·
AI + crypto is no longer the future. It’s what’s actively reshaping 2026 right now.Virtuals + OpenGradient ( $OPG ) just launched verifiable compute for agents: on-chain inference, x402 payments, agent-to-agent economies. This is the stack that moves us from simple chatbots to a true agent-native economy — one that could potentially outperform human contribution. This is Agent Commerce Protocol ( $ACP ) in its purest form.Looks powerful.But I always look for weak points in systems like this — the same risks we try to minimize in @RateX_Network . Security is the main concern.Even with “verifiable” inference, models can still hallucinate. And your agent can confidently make a catastrophically wrong decision — and cost you money. Want me to break down the top 5 risks in these systems?
Virtuals Protocol@virtuals_io

OpenGradient is now live on Virtuals Protocol. Every Virtuals agent can now run on verifiable AI compute. Models onchain, inference cryptographically proven, payments settled through x402. The intelligence behind agent decisions is no longer a black box. Trade (OPG): app.virtuals.io/virtuals/72059

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RateX.Ai
RateX.Ai@RateX_Network·
GM. Something big is coming
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Houd Houd
Houd Houd@HoudH14637·
@Yura4Gus I admire your projects, especially the rtx currency, and I hope that you limit the raa currency and follow the same path, honest people, brother Yura, they are the ones who complete the road
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Yura Gus
Yura Gus@Yura4Gus·
If you want to see such moments before and not go broke and get bogged down in deep analytics, then I created RateXAI is like Aladdin for crypto — but built for DEX traders especially for you.
Yura Gus@Yura4Gus

What other crypto projects could suffer from the chain reaction after the KelpDAO attack? The attack on KelpDAO / rsETH for $292 million is no longer just a hack. This is a classic domino effect in $DeFi. One bug in LayerZero — and an entire chain of protocols is immediately under threat. Projects at risk of chain reaction: Protocols using $LayerZero Vulnerability in the bridge infrastructure affected transaction validation. The risk is spreading to: @StargateFinance (cross-chain swaps) @RDNTCapital (lending) Any dApps that depend on LayerZero Oracle and Relayer Data: LayerZero confirms they are working on a fix. Liquid Restaking Platforms EigenLayer: direct risk due to a similar ETH restaking model EtherFi (eETH): high correlation of trust in LST tokens Risk of panic among token holders, which could trigger a massive withdrawal of funds. Lending protocols with exposure to rsETH @aave V3/V4: froze rsETH markets, but have already suffered losses due to "bad debt" Volume of withdrawn funds: $5.4 billion ETH (source) Compound and Morpho: potential similar vulnerabilities when using LST as collateral DEX and liquidity aggregators Uniswap, Balancer: pools with rsETH/WETH could become illiquid 1inch: risk of arbitrage attacks on destabilized pairs Countermeasures and current status $LayerZero and $KelpDAO will release a post-mortem (announced). Justin Sun proposed negotiations with the hacker to return 85-90% of funds through a white-hat bounty. Key protocols (Aave, Spark Lend) froze rsETH markets to contain panic. Even if you don’t hold rsETH — you are still at risk.

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Yura Gus
Yura Gus@Yura4Gus·
What other crypto projects could suffer from the chain reaction after the KelpDAO attack? The attack on KelpDAO / rsETH for $292 million is no longer just a hack. This is a classic domino effect in $DeFi. One bug in LayerZero — and an entire chain of protocols is immediately under threat. Projects at risk of chain reaction: Protocols using $LayerZero Vulnerability in the bridge infrastructure affected transaction validation. The risk is spreading to: @StargateFinance (cross-chain swaps) @RDNTCapital (lending) Any dApps that depend on LayerZero Oracle and Relayer Data: LayerZero confirms they are working on a fix. Liquid Restaking Platforms EigenLayer: direct risk due to a similar ETH restaking model EtherFi (eETH): high correlation of trust in LST tokens Risk of panic among token holders, which could trigger a massive withdrawal of funds. Lending protocols with exposure to rsETH @aave V3/V4: froze rsETH markets, but have already suffered losses due to "bad debt" Volume of withdrawn funds: $5.4 billion ETH (source) Compound and Morpho: potential similar vulnerabilities when using LST as collateral DEX and liquidity aggregators Uniswap, Balancer: pools with rsETH/WETH could become illiquid 1inch: risk of arbitrage attacks on destabilized pairs Countermeasures and current status $LayerZero and $KelpDAO will release a post-mortem (announced). Justin Sun proposed negotiations with the hacker to return 85-90% of funds through a white-hat bounty. Key protocols (Aave, Spark Lend) froze rsETH markets to contain panic. Even if you don’t hold rsETH — you are still at risk.
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Yura Gus
Yura Gus@Yura4Gus·
“DON’T SHORT RAVE” Crypto Twitter today is a masterclass in how the game actually works. Let’s break it down: → massive pump → insiders positioned early → retail FOMO kicks in → “investigation” tweets drop → everyone feels like justice is being served → shorts get baited → liquidity gets farmed again Bravo. People think this is about “exposing scams”. It’s about controlling the narrative after the move is already done. If your IQ > 0, the flow is obvious: structure → positioning → hype → outrage → second wave liquidity Look at today: $ASTEROID pure momentum, clean narrative, early = life-changing $RAVE 4500%+ → then drama → then “truth” → now chaos $ARIA no noise → no attention → no crowd And yet most people still trade headlines. They see: tweets threads “whistleblowers” We see: who was early who is exiting who needs your liquidity next
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Yura Gus
Yura Gus@Yura4Gus·
A no-rules war has officially reached crypto. If everything unfolding right now is even partially true — and if names like @BinanceUS , @bitget , and @Gate are somewhere behind it — then the bigger picture becomes clear. We’re seeing an extremely aggressive extraction phase. Not building. Not contributing. Not playing long-term. Just pulling value out of the market. And let’s be honest: They don’t care about you. They are purely pragmatic and will extract as much as possible from retail — whether it’s USA, CIS, Europe, or anywhere else. This isn’t new. Remember MantraDAO? Pushed to insane ~$6B valuations — then wiped out just as fast. Same pattern. Hype → exchange exposure → narratives → retail inflow → exit. Through visuals, listings, rumors, and narrative cycles, retail gets farmed. Again and again. Look at past events — major liquidations, ecosystem collapses, wallet-related incidents. The pattern is consistent: capital extraction > market building @RateX_Network mission is exactly about protecting the market from setups like this
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