Portfolio analytics
Performance, allocation, exposure, drawdown and attribution.
Platform capabilityActive product development and testing
AI trading infrastructure built to be measured.
TradeBot Hub is an active crypto technology startup building a risk-controlled platform around AI-assisted trading research, execution and transparent performance evidence.
Current stage
Strategy validation
Engineering focus
Risk & reliability
Evidence path
Research → Shadow → Live
Product system
One controlled path from market data to evidence.
TradeBot Hub connects research, risk, execution and oversight. Every action moves through the same auditable pipeline.
01 / Observe
Validate inputs
Collect market, account and execution data with freshness and integrity checks.
02 / Evaluate
Generate a decision
Compare signals against strategy rules, model versions and market regime.
03 / Control
Apply risk limits
Check position size, portfolio exposure, loss limits and system state.
04 / Execute
Route safely
Validate and route approved actions with restricted exchange permissions.
05 / Verify
Measure outcomes
Record fees, slippage, decisions, failures and realized results.
Realtime monitor
System health, data freshness, execution state and incidents.
Platform capabilityResearch & backtesting
Reproducible experiments, costs, baselines and unseen-data evaluation.
Research capabilityDecision history
Signals, strategy versions, risk checks, execution and outcomes.
Evidence capabilityProduct library
All product, engineering, business, ecosystem and legal workstreams.
Explore the library →Progress & roadmap
Current work, next gates and the path to scale.
Progress is measured by evidence and operational readiness. Stages advance only when their documented exit criteria are met.
Active01
Strategy validation
Testing edges on unseen data and after realistic costs.
- Forward evaluation
- Regime analysis
- Evidence reporting
Active02
Risk engineering
Explicit controls around exposure, losses and failures.
- Portfolio limits
- Drawdown controls
- Fail-closed behavior
In build03
Platform reliability
Monitored, recoverable and secure infrastructure.
- Data quality
- Decision traces
- Incident recovery
Next gate04
Controlled beta
Limited access after readiness gates are met.
- User controls
- Conservative limits
- Structured feedback
Stage 01
Validate the trading edge
Demonstrate useful performance across unseen data, realistic costs, enough observations and varied market conditions.
Stage 02
Harden the platform
Complete monitoring, security, explainable decisions, user isolation, recovery and repeatable releases.
Stage 03
Run a controlled beta
Onboard a limited cohort with conservative operating limits, transparent reporting and structured support.
Stage 04
Scale responsibly
Expand access, integrations and commercial operations after product and operating evidence support them.
Documentation & company record
The complete system, not just the landing page.
Technical architecture, research methodology, product development, security boundaries and legal information remain public and connected.
Core documentation
Platform documentation
System overview, architecture, trading engine, research approach, risk management, security and roadmap.
Project thesisWhitepaper
The original long-form product thesis, platform model, market context and ecosystem direction.
Engineering planDevelopment roadmap
Detailed implementation phases, product surfaces, infrastructure work and delivery sequence.
Complete recordProduct library
Thirty-three product, engineering, operations, business, ecosystem and legal workstreams.
Company baseEstonia · European Union
Product modelNon-custodial platform
Current workDevelopment & testing
Operating standardEvidence before claims