BhundekDectris dashboard concept showing consolidated market data across multiple exchanges

Bring every exchange feed into one considered view of the market

BhundekDectris consolidates real-time data from the exchanges you already use into a single AI-optimised dashboard, so you can spend less time reconciling tabs and more time deciding.

Built for traders who already work across several venues and want clarity, not another isolated tool to monitor.

One dashboard, every exchange you trade on

Most trading setups involve several browser tabs, a handful of apps, and a private spreadsheet holding it all together. BhundekDectris replaces that patchwork with a single account that connects to your existing exchanges and normalises the data into one consistent format, so a price move on one venue is never seen in isolation from the rest.

  • Live order book and trade data from each connected exchange, presented in one normalised format.
  • Watchlists and open positions merged across venues, rather than tracked separately.
  • Configurable alerts for price divergence between exchanges, useful for spread-sensitive strategies.
  • Historical data aligned by timestamp, so backtests reflect conditions across venues, not just one.
  • Shared account access with role-based permissions, for traders working alongside a colleague or assistant.

What the dashboard shows

The main view is organised around three panels: a consolidated order book, a position summary across connected accounts, and a running log of alerts triggered by cross-exchange conditions. Each panel can be resized or hidden, and layouts are saved per user rather than reset on login.

Connection handling

Exchange connections use read or trade-permissioned API keys, depending on what you authorise. If a feed slows down or drops, the affected panel is marked as stale rather than silently showing outdated figures as current.

How the model supports your decisions

The aim is not to replace your judgement with a black box. BhundekDectris's model is designed to surface patterns across your connected exchanges and explain its reasoning, so the final call remains yours, made with more context than you'd otherwise have time to gather.

  1. Step 1

    Data ingestion

    Raw feeds from each exchange are cleaned, timestamped, and aligned so they can be compared directly, regardless of format differences between venues.

  2. Step 2

    Pattern analysis

    The model looks for correlations, divergences, and unusual volume shifts across the exchanges you've connected, not just within a single feed.

  3. Step 3

    Scenario weighting

    Potential actions are ranked by estimated risk and confidence together, rather than by projected return alone.

  4. Step 4

    Presentation

    You see the reasoning behind each suggestion, including which data points influenced it, before deciding whether to act.

Risk management is built into the logic, not bolted on afterwards

Every recommendation carries an explicit exposure estimate and a confidence range. When data quality drops, for example during a feed outage or unusually thin liquidity, the model widens its uncertainty rather than presenting a false sense of precision. Position sizing suggestions are also capped by parameters you set, so the system works within limits you control.

What this changes about your trading day

The value of consolidating exchange data isn't the technology itself, it's what you get back: time, a steadier decision-making process, and a clearer record of why a trade was made.

Less time spent reconciling data

With feeds already merged, you're not manually cross-checking prices between exchange apps before acting on an opportunity.

Fewer decisions made on impulse

Recommendations come with stated reasoning and risk ranges, giving you a structured checkpoint before committing capital.

Faster response to volatility

Cross-exchange alerts flag divergence as it happens, rather than after you've noticed it manually across separate tabs.

A clearer record of your reasoning

Each recommendation and the data behind it is logged, useful when reviewing a trade afterwards or refining your own strategy.

Our approach to data and model training

Where the data comes from

All market data is drawn directly from the exchange APIs you connect, timestamped on arrival, and stored alongside its source. We don't blend in synthetic or simulated data to fill gaps; if a feed is missing information, the dashboard shows that gap rather than estimating a figure silently.

How the model is trained

The underlying model is trained on historical multi-exchange data and reviewed periodically against new market conditions. Anomalies flagged by the system, such as feed errors or unusual outliers, are checked before being used in training, rather than assumed to be valid signal.

Security standards

Connections to exchanges and to your account are encrypted in transit and at rest. API keys are stored with restricted access, and permissions can be limited to read-only where trade execution isn't required. Access to your account can be scoped by role for teams sharing a subscription.

BhundekDectris team reviewing multi-exchange data methodology and model outputs

Questions we're asked most often

Which exchanges can I connect to BhundekDectris?

BhundekDectris connects to major exchanges via API keys, with new venues added based on demand from active users. If an exchange you use isn't yet supported, you can register interest and we'll factor it into the roadmap.

Does the platform execute trades automatically?

No. BhundekDectris presents recommendations and reasoning; you decide whether to act. Optional semi-automated execution can be enabled for specific, pre-approved conditions, but it remains off by default.

How is my exchange data secured?

Data is encrypted in transit and at rest, and API keys can be scoped to read-only access if you'd rather not grant trade permissions. Full detail is covered in our methodology section above.

Is this useful if I only trade on one exchange?

You can use BhundekDectris with a single exchange, though the core value, cross-venue comparison and divergence alerts, becomes more relevant once you connect a second or third account.

What happens if an exchange feed goes down?

Affected data is marked as stale in the dashboard rather than shown as current. Recommendations that depend on that feed are flagged with reduced confidence until the connection is restored.

Our support team responds during UK business hours. For account-specific queries, the in-app messaging channel is the fastest route once you've registered.

Consider where this fits into your existing strategy

BhundekDectris is built to work alongside the judgement you already bring to trading, not to replace it. Explore the dashboard with your own connected exchanges and see whether the consolidated view changes how quickly you can respond.

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Occasional updates on methodology and new exchanges