Price change (24h):
—
High (24h):
$0.00001262
Low (24h):
$0.00001218
Volume (24h):
$1.3
Market Cap:
$11.40K
All Time High:
$0.00193 99.37%
Jan 16, 2025
All Time Low:
$0.00001218 0%
Nov 11, 2026
$0.00001218
83.13 % (1Y)
Price change (24h):
—
High (24h):
$0.00001262
Low (24h):
$0.00001218
Volume (24h):
$1.3
Market Cap:
$11.40K
All Time High:
$0.00193 99.37%
Jan 16, 2025
All Time Low:
$0.00001218 0%
Nov 11, 2026
Market data updated Nov 11, 2026, 10:42 PM UTC
BaseHoundBot by Virtuals ($HOUND) is a cryptocurrency native to the Base ecosystem, occupying the volatile intersection of autonomous AI agents, meme coins, and decentralized finance AI (DeFAI). Its on-chain footprint signals a departure from static digital assets toward software that independently reasons and executes.
It powers a live trading agent that ingests real-time data streams—social sentiment spikes, news wire feeds, on-chain forensic signals—and converts them into unilateral trade executions. The bot internalizes scam detection heuristics, dollar-cost averaging schedules, stop-loss triggers, and take-profit logic directly within immutable smart contracts. By stripping out emotional override and eliminating manual reaction time, it attacks the twin pathologies of retail crypto trading: cognitive bias and the impossibility of maintaining 24-hour vigilance. Every portfolio adjustment, risk calculation, and reasoning thread gets broadcast on-chain, generating a cryptographically verifiable audit trail.
The agent operates on the Base layer-2 network, a high-throughput Ethereum rollup built with the OP Stack. Its logic lives entirely in a constellation of deterministic smart contracts, meaning every action—from wallet creation to asset swap—gets executed by the chain itself.
The token adheres to the ERC-20 standard under the contract 0xccdf2cbabf on Base, conferring direct composability with MetaMask, DEX aggregators, and countless Ethereum-native tools. Base’s optimistic rollup architecture delivers sub-second block finality and near-zero gas overhead, giving the bot the micro-precision necessary for real-time strategy shifts. All agent operations remain visible through Basescan and Arkham, exposing individual wallet movements, strategy rebalances, and trade justifications in a transparent, block-by-block ledger.
The project coalesced inside the Virtuals Protocol ecosystem, a factory for spawning on-chain AI agents without centralized infrastructure. Community coordination sprawls across Telegram and X, where feature requests and parameter tuning shape the agent’s roadmap. Its appearance coincides with a surge of AI meme tokens on Base, a trend in which autonomous bots steadily displace static meme coins as vehicles for both speculation and functional on-chain utility. No singular founder emerges from the project’s documentation, a pattern consistent with the pseudonymous launch conventions of recent agentic tokens.
Its core ambition is to prove that an AI agent can operate as a sovereign financial actor, earning, spending, and reasoning entirely within the cryptographic boundary of a blockchain. This thesis rejects the familiar architecture of custodial trading APIs and black-box algorithms, embedding the agent’s cognition instead in a transparent, unstoppable smart contract system. The project, in essence, seeks to erase the latency between human financial intent and machine settlement.
The HOUND token functions as the permissioning mechanism and economic cartridge for activating the agent’s trading pipelines. Users commit HOUND to configure personalized instances—setting risk parameters, binding sentiment models to specific order logic, and unlocking advanced execution primitives. The token is purely operational: it does not confer governance rights but rather operates as the key that switches on the bot’s suite of autonomous financial behaviors.
A trader holding HOUND might initiate a bot that layers a dollar-cost averaging schedule onto a low-cap token when social volume crosses a predefined deviation threshold, while simultaneously ratcheting a trailing stop-loss against on-chain whale accumulation data. The agent logs its rationale—citing model weights, sentiment scores, news triggers—onto a public feed, allowing the trader to audit behavior without ever touching a centralized server. In this configuration, HOUND shifts from a speculative placeholder into a tangible productivity layer for decentralized capital deployment.
BaseHoundBot by Virtuals has a maximum supply of 1,000,000,000 tokens. Currently, 936,008,237 tokens are in circulation. With a market capitalization of $33,644, BaseHoundBot by Virtuals ranks #7,708 among all cryptocurrencies.
| Date | Open | Close | High | Low |
|---|---|---|---|---|
| 12/11/2026 | $0.00001233 | $0.00001218 | $0.00001239 | $0.00001218 |
| 11/11/2026 | $0.00001243 | $0.00001233 | $0.00001262 | $0.00001227 |
| 10/11/2026 | $0.00001271 | $0.0000126 | $0.00001272 | $0.00001257 |
| 09/11/2026 | $0.00001279 | $0.00001271 | $0.0000128 | $0.00001259 |
| 07/11/2026 | $0.00001317 | $0.00001296 | $0.0000132 | $0.00001294 |
| 06/11/2026 | $0.00001323 | $0.00001317 | $0.00001346 | $0.00001277 |
| 05/11/2026 | $0.00001285 | $0.00001323 | $0.00001329 | $0.00001272 |
AI trades 24/7 automatically Catch every opportunity
Zero-emotion algorithm Disciplined strategy
Passive income Set & forget automation
$230M
cumulative aum
6 years
live trading track record
20k+
clients
2015
year of company foundation
Questions about Stoic AI itself are answered in the Stoic AI FAQ.
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