Build a Custom Algorithmic Trading Dashboard Using AI in Minutes
Turn a plain-English description of your Algorithmic Trading Dashboard into a production-ready build, from design to deployment, in minutes. No code needed.
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Build a custom algorithmic trading dashboard in 4 simple steps
See strategy performance, execution quality and live risk together.
Set out how a strategy is judged. Expectancy, slippage, drawdown, exposure, fill quality.
Your execution platform connects, so fills and slippage are measured rather than assumed.
Add a strategy, a different risk limit or results by market condition.
Open one view where a strategy degrading surfaces early, rather than after a drawdown.
Emergent Key Features for Building an Algorithmic Trading Dashboard
Slippage, live against backtest divergence and risk limits monitored alongside strategy performance.
Slippage Measured at Signal Price
Fills are compared with the price available when the signal fired, which separates strategy performance from execution cost.
Live against Expected Behaviour
Results are compared with backtest expectations continuously, so a strategy that has stopped working is identified quickly.
Aggregate Correlated Exposure
Positions taken independently by several strategies are combined, revealing concentration that per strategy limits cannot prevent.
Limit Headroom Shown
Each strategy's remaining room against its limits is visible, so intervention happens before an automated stop triggers.
Rejection and Latency Tracked
Order rejections and signal to acknowledgement latency are measured, which is where infrastructure problems first appear.
Kill Switch State Visible
The status of every automated control is shown, so you know what protection is actually active rather than assuming it.
Algorithmic Trading Dashboard Use Cases You Can Build in Minutes

Watch Every Strategy Through the Session
Profit and loss per strategy for the session, day and month, current exposure and position count per strategy, drawdown against each strategy's limit, trades taken against expected frequency, strategies disabled with the reason and any diverging today.
window.awbMockup = { strategyPerformance: "Build an algorithmic trading dashboard showing profit and loss per strategy for the session, day and month, current exposure and position count per strategy, drawdown against each strategy's limit, trades taken against expected frequency, strategies currently disabled with the reason, and strategies whose performance diverged from the others today.", executionQuality: "Build an execution dashboard showing slippage per order against the price available at signal time, average slippage by strategy, instrument and time of day, fill rate and partial fills, order rejections with reasons, latency from signal to acknowledgement, and the venues and hours where execution cost is highest.", liveAgainstBacktest: "Build a strategy validation dashboard comparing live results against backtest expectations for the same period, showing divergence in win rate, average trade result, trade frequency and drawdown, the cumulative gap between expected and realised, whether divergence is explained by slippage or by signal behaviour, and strategies outside their expected range.", riskControl: "Build an algorithmic risk dashboard showing each strategy against its position, exposure and loss limits with headroom remaining, aggregate exposure across all strategies by instrument and direction, correlated positions taken independently by different strategies, limits breached with the action taken, and the state of every automated stop or kill switch."};

Tell the Model Apart from the Fills
Slippage per order against the price available at signal time, average slippage by strategy, instrument and time of day, fill rate and partial fills, order rejections with reasons, signal to acknowledgement latency and the venues where cost is highest.

Catch a Strategy That Has Stopped Working
Live results against backtest expectations for the same period with divergence in win rate, average trade result, frequency and drawdown, the cumulative gap between expected and realised, whether divergence is slippage or signal and strategies outside range.

Know Which Protections Are Actually Active
Each strategy against its position, exposure and loss limits with headroom remaining, aggregate exposure across all strategies by instrument and direction, correlated positions taken independently, limits breached with the action taken and every kill switch state.
Every integration your
Dashboard needs from day one
Email and calendar
Inbox and calendar sync both ways, so every reply, meeting and no-show lands on the contact record without anyone logging it.
Messaging and support
Conversations from chat, WhatsApp and your helpdesk attach to the right contact, so sales and support see the same history.
Payments and billing
Invoices, subscriptions and payment status flow back into the deal, so revenue and pipeline stay in one place.
If it has an API, your CRM can connect to it.
Emergent builds the connection against the API itself, including internal tools your team made. No closed ecosystem, no approved-partner list, no waiting for a connector to ship.

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Why choose Emergent?
Most tools give you a demo you have to rebuild. Emergent gives you a product that is ready to run.
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