Trading availability is credential-aware. The live surface you see depends on configured venues, build profile, and registration mode.

Trading Hub

Trading Hub is SindByte's operator surface for paper-first AI-assisted trading: scan markets, compare signals, review MultiVote and Consensus output, and only graduate toward live execution when the workflow is ready.

12 venues

Paper-first

Scanner ranking

5-expert MultiVote

Learning + AAR

Credential verification

Trading Hub sits next to the audited MCP surface and the live catalog can expose more or fewer trading routes depending on which APIs are configured and which registration filters are active.

Trading Workflows Setup Notes

Live trading-related surface from the current build. Use this family of forms for credential checks, market review, paper sessions, and post-trade learning.

Supported Venues

The current English site reflects the audited 12-venue surface. Individual venues can still stay hidden or inactive at runtime until valid credentials exist.

KrakenBinanceCoinbaseOKX KuCoinBitgetByBitBitpanda AlpacaIGInteractive BrokersPolygon

Real Trading Forms from the Current Build

Trade Console

Venue selection, risk framing, strategy fields, and session actions in the live trading shell.

Manual Trading

Paper-first execution surface for controlled entries, exits, and repeatable session review.

Learning Lab

After-action review and learning capture so trade ideas turn into documented policy instead of memory.

TradingIQ and TradingAI Stack

TradingIQ::Scanner

Scan and rank markets by technical and liquidity signals so the session starts from a narrowed candidate list instead of raw venue noise.

TradingIQ::MultiVote

Run a 5-expert vote over one candidate idea to compare technical, macro, risk, quant, and contrarian views before acting.

TradingIQ::Consensus

Request a deeper strategy-style analysis with explicit risk framing when a quick vote is not enough.

TradingIQ::Learning

Review paper results, store observations, and turn each session into a repeatable learning loop instead of isolated one-off trades.

TradingAI::DecisionMenu v2

Keep the session alive through a circular decision flow with explicit next actions, persistent context, and clean session end points.

APIV_Verify*

Verify exchange and data-provider credentials live so you know whether the runtime can publish and use a given route safely.

DecisionMenu v2 Session Loop

Info branch: Scan markets, analyze a pair, enrich the idea with web research, and call TradingIQ when simple chart impressions are not enough.

Account branch: Inspect balances and positions before you size anything. The session stays grounded in what the account can actually support.

Learning branch: Record observations and query prior learnings so repeated setups can be compared over time.

Trade branch: Execute, close, wait, or end. The menu keeps the decision process explicit instead of letting the model improvise hidden state.

Paper-First Operational Path

1. Verify the venue key, switch to paper mode, and define the session risk budget before scanning.

2. Use Scanner to shortlist opportunities, then run MultiVote or Consensus on the strongest candidate.

3. Record the paper trade result and generate an after-action review so the next session has real feedback.

4. Only consider live graduation after repeated paper sessions with documented behavior and restricted API permissions.

Risk and catalog note: Trading carries real financial risk. Use paper mode first, store venue keys with minimal permissions, and expect the runtime-visible trading catalog to differ between machines depending on configured credentials and registration policy.

Continue

Go to the manual for setup, or use the workflow page for concrete trading, timer, and review sequences that combine Trading Hub with the wider SindByte platform.

Manual Workflows MCP Server