This documentation describes TRADEOS.tech at the architectural and conceptual level. Specific algorithms, model parameters, signal weights, risk thresholds, internal scoring formulas, and implementation details are proprietary and are not disclosed. Where exact values appeared in internal documentation, they have been replaced with qualitative descriptions. Nothing in these docs is sufficient to replicate the TRADEOS.tech implementation.
Welcome to TRADEOS.tech
TRADEOS.tech is an institutional-grade autonomous trading platform built for crypto markets. It manages the full lifecycle of a trade — from ingesting raw market data, generating and scoring signals, validating risk and capital constraints, executing with smart order algorithms, and continuously monitoring outcomes — without human intervention in the loop.
This documentation covers the platform architecture, risk framework, strategy profiles, integration options, and reference material. It is intended for operators, integrators, and technical evaluators who want to understand how TRADEOS.tech works.
What makes TRADEOS.tech different
Most trading systems are either backtesting frameworks (good for research, not production) or simple bots (rules-based, no risk management). TRADEOS.tech is neither.
It is a production trading operating system built around four principles:
1. Everything is a service, connected by streams
Every component — data ingestion, signal generation, risk validation, execution, monitoring — runs as an isolated microservice. Services communicate exclusively through Redis Streams. There is no direct HTTP call in the trade path. This means:
- Any service can fail and restart without data loss
- Each service can be scaled, replaced, or upgraded independently
- The full trade lifecycle is auditable end-to-end
2. Risk is enforced at multiple independent layers
A signal passes through four distinct risk checkpoints before an order reaches an exchange. No single point of failure can produce an oversized or unauthorized trade. See Risk Management for the full picture.
3. The system adapts to market conditions
TRADEOS.tech uses Hidden Markov Models and Bayesian change-point detection to classify market regimes in real time — trending, mean-reverting, volatile, low-volatility. Strategy weights, position sizes, and signal confidence thresholds all shift automatically based on the current regime.
4. Capital is never left unmanaged
A dead-man's switch monitors the heartbeat of the trading loop. If the system goes dark — for any reason — open positions are automatically closed and no new orders are placed. Capital protection is a design requirement, not an afterthought.
Platform at a glance
| Layer | What it does |
|---|---|
| Ingestion | Multi-venue WebSocket feeds + on-chain data + macro data |
| Signal Engine | 12+ signal generators, regime-gated, confidence-scored |
| Signal Modifier | Meta-state adjustment, hero signal promotion, IC weighting |
| Feasibility | Kelly sizing, portfolio constraints, risk limit enforcement |
| Execution | Smart order routing with market-impact modeling |
| TCA Monitor | Post-trade analysis, signal outcome tracking |
| Autonomous Agent | Weekly re-optimization, drift detection, profile adaptation |
| Dashboard | Real-time P&L, positions, signals, regime state |
Supported markets
TRADEOS.tech currently supports crypto perpetual and spot markets across multiple venues. The default symbol universe includes BTC, ETH, SOL, ADA, DOGE, XRP, DOT, POL, LINK, and UNI, with support for long-tail assets.
Where to go next
- Architecture Overview — understand the service topology and data flow
- Risk Management — see how capital is protected at every step
- Strategy Profiles — learn how conservative / balanced / aggressive modes work
- Quickstart — get up and running