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Mythos Logomythos.

Autonomous Trading Agents built for the new economy.

Mythos runs an AI trading factory: a full stack from raw data processing to executed orders. Fully automated, transparent, and built to capture alpha.

IaaS
RPC & NODE INFRASTRUCTURE
DATA LAYER
REAL-TIME AGGREGATION
RISK ENGINE
LIVE POSITION MANAGEMENT
INTELLIGENCE
AI REASONING MODELS
mythos.
AGENT
AUTONOMOUS EXECUTION
Live Execution Markets
01

Data Engine

Injesting millions of data points from CEX and on-chain sources in real-time. Processed via Rust and Python pipelines.

02

AI Models

Using cutting-edge LLMs (Claude, Grok) for real-time risk assessment, rapid sentiment analysis, and robust portfolio building.

03

Execution

Slippage-aware trade execution via CCXT across Binance, OKX, and Bybit. Hardcoded safety invariants ensure capital protection.

How Mythos Works

We don't just provide signals. Mythos is a complete, end-to-end trading factory that removes human emotion and latency from the equation.

01

Data Ingestion

Real-time streaming from top CEXs and on-chain nodes. Filtering noise to extract pure signal.

02

AI Analysis

Advanced LLMs and statistical models evaluate market conditions, identifying asymmetric risk-reward setups.

03

Risk Management

Monte Carlo simulations run in milliseconds to size positions dynamically based on portfolio volatility.

04

Autonomous Execution

High-frequency engines route orders with minimal slippage, entirely hands-free and auditable.

Engine Core
Portfolio Status+1.24%

Institutional-Grade Architecture

Security is not an afterthought; it is embedded into the core logic of the Mythos trading engine.

Hardcoded Risk Invariants

Our engine enforces strict drawdown limits and maximum position sizing at the core level. If market volatility triggers a threshold, trading is instantly halted.

Real-Time Auditing

Every LLM inference, API call, and order execution is logged immutably. Gain complete transparency into why the agent took a specific position.

Latency-Optimized Infra

Execution nodes are co-located near major exchange servers. We ensure minimal slippage and mitigate MEV front-running on decentralized venues.

Frequently Asked Questions

Traditional bots rely on hardcoded indicators (like RSI or Moving Averages) which fail when market regimes shift. Mythos uses Large Language Models to contextualize macro news and real-time sentiment, combined with a rust-based execution engine to adapt dynamically.

Ready to deploy capital into the future of algorithmic trading?

Join early access to allocate funds directly into Mythos' top-performing autonomous strategies. Transparency and absolute returns, driven by AI.