aiagents

Hello everyone, this is Bin from Chiheisen Tech.
Two months have passed since the unprecedented $20B liquidation event of October 10–11, which also wiped out our Rational Entity for Decisions (RED) AI model’s seven‑figure trading portfolio. That event forced us to rethink the technical foundations of our trading AI. Today, I want to share how we’ve evolved from RED Mark II to RED Mark III, and the lessons we’ve embedded into this next generation system.

RED Mark II — Data‑Driven by Liquidation Heat Maps
Mark II was engineered around a conviction in the bull cycle. Its technical backbone relied on:
Liquidation heat map data from major exchanges.
Historical trading datasets to define precise entry, stop‑loss, and take‑profit levels.Cross‑margin, low‑leverage long swing trades (with some scalping) using COIN‑M contracts.
This approach worked well in trending markets, but the October liquidation shock revealed its vulnerability: when $20B was liquidated in hours, even deep stop‑loss levels were overwhelmed.
RED Mark III — Elliott Wave & Probabilistic Modeling
Learning from that event, Mark III is built on a more adaptive technical framework:
Elliott Wave models to map market cycles and anticipate directional shifts.Probability calculations for scenario weighting, ensuring trades are aligned with statistical likelihoods rather than conviction alone.Isolated‑margin long and short positions, executed daily, to profit from both upward and downward movements.
This design means RED Mark III is no longer dependent on whether the market is bullish or bearish. Instead, it dynamically adjusts to wave structures and probability outcomes, enabling consistent performance in volatile conditions.

Looking Ahead
RED Mark III represents a fundamental shift: from reactive trading based on liquidation maps to proactive modeling using Elliott Wave theory and probabilistic analysis. It is part of Chiheisen Tech’s broader strategy to protect and expand our crypto reserves, ensuring resilience in the unpredictable cycles ahead.
We are working tirelessly to bring this new generation of RED to the community — stronger, smarter, and technically prepared for 2026 and beyond.
Stay sharp my friends and wish you all the best,
Bin

#TradingSignals #AImodel #AIAgents

Big moves from the builders who don't stop.
Just hours ago, @KITE AI dropped their 2025 Global Tour announcement – a multi-continent sprint to connect with developers, communities, and innovators shaping AI's on-chain revolution.
Flight path locked in:
Dubai (kickoff hub for MENA builders)
Chiang Mai (APAC dev retreats)
Seoul & Tokyo (deep dives into AI hardware + agent tech)
Hong Kong & Singapore (fintech + regulatory roundtables)
San Francisco & Denver (US ecosystem meets + VC collabs)
This isn't sightseeing. It's hands-on workshops, hackathons, and private sessions to accelerate Kite's ecosystem: from KitePass identity modules to X402 payment primitives.
Why now? Testnet Ozone is crushing it with 800K+ TPS in stress tests (per latest CoinMarketCap report), mainnet optimizations targeting >1M TPS for Q4 close. Agents need real-world feedback to scale – and GoKiteAI is crowdsourcing it globally.
$KITE holders get priority access + exclusive drops at stops (think limited-edition "Fly the Kite" badges with PoAI boosts). With 91K+ holders and $KITE powering staking, governance, and agent rewards, this tour will onboard the next wave of creators.
Backed by PayPal Ventures' $33M war chest, Kite isn't waiting for permission. They're building the rails for trillion-dollar agent economies – one city at a time.
Stay tuned for meetup deets. Who's hosting in your city?

@KITE AI
#KİTE #AIAgents #AgenticEconomy #CryptoAi #BinanceSquare

AI agents are the future of DeFi and beyond, but without proper identity, they're just rogue bots waiting to rug.
Enter KitePass from @KITE AI : a cryptographic identity system that's already live on Testnet Ozone, giving every AI agent, model, dataset, or service a unique, verifiable ID.
Why this changes everything:
Traceability & Provenance: Prove your agent's history and contributions on-chain. No more black-box ops – everything's auditable.
Portable Reputation: Build and carry reputation across ecosystems. A high-performing trading agent? It gets rewarded with $KITE based on verifiable value.
Fine-Grained Governance: Programmable rules enforced cryptographically. E.g., "This agent can only spend up to $5K/month on data feeds" – autonomy with safeguards.
Seamless Integration: Ties into X402-native payments for instant, sub-cent settlements in USDC. Agents pay for compute, APIs, or trades without human hand-holding.
Backed by PayPal Ventures and General Catalyst, GoKiteAI isn't theorizing – Testnet Ozone (upgraded from Aero in May 2025) has millions of interactions, with bridges live for $KITE , ETH, and TestUSD.
Recent wins:
New Chinese X Spaces and community push for global adoption.
Partnerships with @BitteProtocol and @BitMindAI for live on-chain agents.
"FLY THE KITE" NFTs (2K supply, floor ~$900) as multipliers for rewards.
$KITE powers it all: staking for validators, fees for transactions, and PoAI rewards for contributors. With 1s block times and near-zero gas on Avalanche subnets, this is infrastructure primed for the agentic economy.
Current stats: Circ supply 1.8B $KITE , 91K+ holders, and growing daily volume. As enterprises onboard (SDKs and policy engines already developer-ready), demand for secure agent rails will skyrocket.
Not advice – just the tech stack that's shipping while others pitch.

@KITE AI #KİTE #AIAgents #AgenticEconomy #CryptoAi #BinanceSquare

The world is shifting from an internet of people to an internet of autonomous agents. These AI entities—trading bots, data analysts, supply chain managers—don't operate on human time. They live in the sub-second world of code, where a millisecond delay is a lost opportunity or a broken process. 
Yet, they are trying to transact on financial rails built for human-centric banking: batch settlements, slow confirmations, and unpredictable delays. This fundamental mismatch is the invisible cage holding back the Agentic Economy. 
KITE AI is here to break that cage. It's not just a faster blockchain; it's a completely new, purpose-built trust and payment layer designed from the ground up for the demands of machine-to-machine commerce. This is how KITE achieves true Real-Time Agent Payments with deterministic finality, focusing on a revolutionary communication and performance layer. 
A Payment is a Dialogue, Not a Request
KITE's core innovation is its approach to finality. For humans, finality is the check clearing a few hours later. For an AI agent, finality must be instant and certain—it needs to know the transaction is settled before it makes the next move in its decision loop.
Feature Highlight: Agent-Native Communication through State Channels
Instead of treating every micro-transaction as a slow, single-block event, KITE utilizes state channel technology optimized for agent-to-agent interactions.
Imagine two AI agents negotiating a data purchase. They don't need to post every tiny payment ($0.0001 for a single API call) to the slow main chain. Instead, KITE opens a private, secure Payment Lane (a state channel) between them. They can exchange millions of signed updates—the “payment dialogue”—off-chain, in real-time, with near-zero fees.
• Real-Life Scenario: A sophisticated trading agent is paying a high-frequency market data oracle. In traditional crypto, this could mean high gas fees and a few seconds of confirmation time for every data packet. On KITE, the agents establish a Payment Lane once. The payments flow like a stream, instantly verifying the data and settling the micro-charge simultaneously. Only the net balance is recorded on the main chain when the channel closes.
This architecture turns a payment from a static, multi-step process into a continuous, low-latency dialogue. The finality is assured by the cryptographic security of the channel, giving agents the certainty they need to operate autonomously at machine speed.

Deep Infrastructure for Deep Trust
To move money autonomously, agents need more than just speed—they need a foundation of verifiable trust and accountability. KITE addresses this with a deep focus on its architecture. 
Feature Highlight: The Three-Layer Identity System
A major problem with current systems is that they force an AI agent to use a human-designed wallet, making it impossible to separate the human principal from the delegated agent's action. KITE introduces a unique three-layer identity: 
1. User Layer (The Principal): Your human, legal identity and ultimate authority. 
2. Agent Layer (The Proxy): The AI entity, delegated with specific permissions, spending limits, and rules.
3. Session Layer (The Action): The short-lived context of a specific task or interaction. 
This hierarchical identity, based on BIP-32 principles, ensures that every single autonomous transaction is traceable, auditable, and confined by programmable governance rules. 
• Expert Commentary: This is crucial for mass adoption. When a company deploys a fleet of AI agents to manage its cash flow, they must know that an agent cannot exceed its budget or go rogue. KITE's system provides cryptographically-enforced constraints. It’s the difference between giving a child your main bank card and giving them a strictly limited debit card for a specific purpose. This depth of control builds trust for developers and enterprises. 
Performance Layer: EVM Compatibility, Agent Scale
KITE is an EVM-compatible Layer-1 blockchain. This is pragmatic; it allows developers to use familiar tools, smart contract languages, and existing libraries. However, it is optimized not for human block times, but for agent scale. By integrating technologies like Proof of Attributed Intelligence (PoAI) and a stablecoin-native settlement layer, KITE ensures: 
• Predictable Fees: Transaction fees are stablecoin-native, eliminating the volatility that breaks an AI agent’s cost-benefit analysis. 
• High Throughput: The foundational Layer-1 is engineered for the massive volume of micro-interactions that an army of millions of autonomous agents will generate. 
Powering the Emerging Agentic Economy
KITE isn't solving a hypothetical problem; it's tackling the infrastructure crisis of the immediate future. This solution is directly relevant to two massive, trending narratives: AI x Blockchain and Real-World Asset (RWA) Payments. 
Real-World Use Case: Autonomous Data & API Payments
The most immediate use case is data consumption. Modern AI models constantly need to purchase data streams, subscribe to APIs, or pay for compute resources. 
• Example: An enterprise AI model needs a real-time feed of shipping container prices from a third-party API. In a legacy system, this requires an enterprise contract, invoicing, and monthly payment. On KITE, the model can autonomously pay-per-call—a fraction of a cent for each data request—using its delegated wallet, governed by its specific policy. The payment is instant, the data is delivered, and the transaction is immutably recorded with verifiable identity. This enables a fluid, dynamic marketplace for AI services. 
KITE is not just a settlement layer; it is the enabling protocol for the next generation of digital commerce, where AI is the primary consumer. By aligning with open standards like Google’s A2A and the x402 protocol, KITE positions itself as the universal, high-performance execution layer for autonomous value transfer. 
KITE is quietly building the infrastructure that treats AI agents not as accessories, but as first-class economic actors. It’s where performance meets finality, and where the communication layer is the key to unlocking true autonomous trust. 
If KITE's real-time, identity-anchored payments become the global standard, which industry—beyond finance and data—do you think will be the most radically transformed by fully autonomous AI agents?
@KITE AI #KITE $KITE
#Web3Education #CryptoEducation #AIAgents #ArifAlpha

Most people are still sleeping on the fact that Kite AI is building the first truly decentralized on-chain AI inference layer that actually works at Solana speeds. While every other “AI coin” is just slapping ChatGPT APIs behind a token, @KITE AI built their own lightweight LLM swarm that runs directly on consumer GPUs worldwide.
Think of it: instead of paying AWS $10 per hour for GPT-4 level inference, you stake $KITE → route your prompt through the Kite network → get sub-300ms responses for pennies. Real utility, real deflationary burn from every single request.
Numbers don’t lie:
▪️ 43,000+ GPUs already pledged worldwide
▪️ Testnet hit 1.8M requests in November alone
▪️ Mainnet drops Q1 2026 with zero-knowledge model weighting (your fine-tune stays private)
▪️ Current FDV still under 120M while rendering networks like $RENDER sit at 2B+
This isn’t another meme with a roadmap copied from 2021. This is the Render Network for the LLM era, but actually decentralized and 50x cheaper.
I’ve been DCA’ing every paycheck since the 3M market cap days. Not financial advice, but when the first dApps start routing their RAG pipelines through Kite instead of OpenAI… yeah, we’re gonna look back at these prices and laugh.
Early adopters eating again in 2026.
#KITE #GoKiteAI #DePIN #AIAgents
$KITE

We have moved beyond chatbots. The narrative of "Agentic AI"—autonomous software that can plan, execute, and transact—is taking over. Leading the charge is Virtuals Protocol ($VIRTUAL ) on Base, where AI agents like "Luna" and "AIXBT" have reached massive market caps.

These agents are tokenized entities. You can co-own them and share in the revenue they generate. It is the financialization of the "Attention Economy." The VIRTUAL token fuels these agents' compute and governance.

This trend bridges the two hottest sectors: Crypto and AI. It creates a demand for high-throughput chains because agents spam transactions 24/7, explaining the sector's success on Base and Solana.

Look for "Multi-Agent Collaboration" features where agents hire each other, and rumors of major CEX listings for $VIRTUAL .
Skeptics call it "Tamagotchi with a Ponzi scheme," but proponents see the future of the workforce. owning the infrastructure ($VIRTUAL ) is the consensus play.

Would you let an AI agent manage your crypto portfolio? 🤖



#AIAgents #VirtualsProtocol #CryptoAlert #BaseChain