Dew Fondwyn unified trading dashboard displaying multi-exchange market data

Unified Dashboard · Predictive Risk Models

One dashboard for every exchange you trade on.

Dew Fondwyn synthesises order books, liquidity data and volatility signals from your connected exchanges into a single view, so decisions are based on verified signals rather than fragmented feeds.

One dashboard, every exchange you use

Most traders split their attention across several exchange interfaces, each with its own latency, API quirks and data format. Dew Fondwyn ingests these separate streams and normalises them into one consistent structure, so order book depth, spread and funding data sit side by side without manual reconciliation.

The result is a single screen that reflects your actual exposure across venues, updated continuously as market conditions shift.

  • Spot exchange order books
  • Derivatives and futures feeds
  • Decentralised liquidity pools
  • Institutional OTC reference rates
Dew Fondwyn analyst reviewing consolidated exchange data on screen

Predictive risk models built on live order flow

  • Position-level risk scoring Each open position is scored against current volatility and liquidity conditions, flagging where exposure has drifted beyond your set tolerance.
  • Correlation-aware alerts The model tracks correlation between assets and venues, so a shock in one market can be assessed for its likely effect elsewhere before it compounds.
  • Mitigation suggestions, not instructions Recommendations are presented with the reasoning behind them, so you retain control over execution rather than following an opaque signal.

Risk exposure by venue — illustrative view

Relative exposure recalculated as positions and market depth change across connected exchanges.

How the data is processed, step by step

No black box claims. Here is the sequence Dew Fondwyn follows from raw feed to actionable view.

1

Ingestion

Market and order book data is pulled directly from each connected exchange's API, timestamped and queued for processing without manual entry.

2

Analysis

Incoming data is normalised, cross-referenced for correlation and scored by the predictive risk model to surface deviations from expected ranges.

3

Execution

Results are rendered to the dashboard with supporting context, leaving the decision to act, hold or adjust with the trader.

Built for specific trading situations

Arbitrage

Arbitrage detection

Price discrepancies between connected venues are flagged as they appear, with the spread, estimated fees and transfer time shown together so you can judge whether the gap is worth acting on.

Risk

Volatility shield

When volatility on a given asset or venue exceeds your configured threshold, exposed positions are highlighted with a suggested reduction range based on current liquidity depth.

Sentiment

Sentiment analysis

Order flow imbalance and funding rate shifts are tracked as proxies for short-term sentiment, giving context to price moves that volume alone does not explain.

See your exchanges in one view.

Request a walkthrough of Dew Fondwyn with your own exchange connections, or start with a limited account to assess fit before committing further.

Request a demo