Build a Custom Options Trading Dashboard Using AI in Minutes
Describe your Options Trading Dashboard in plain English and create a production-ready build, from design and development to deployment, in minutes. No code needed.
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Emergent Key Features for Building an Options Trading Dashboard
Legs grouped into strategies with net exposure and assignment risk across the whole book.
Legs Grouped into Strategies
Individual contracts are combined into the positions you actually intended, so a spread is read as one trade rather than two unrelated legs.
Net Exposure across the Book
Delta and other measures are aggregated, revealing when several unrelated strategies add up to one large directional bet.
Assignment Risk Quantified
In the money positions are shown with the capital or shares assignment would require, so expiry week holds no surprises.
Expiry Concentration Flagged
Positions clustered on one date are surfaced, since that is where a single market move causes disproportionate damage.
Theta Income against Book Size
Daily decay collected is expressed against capital at risk, which is the measure that shows whether a premium strategy is worth the exposure.
Implied Volatility in Context
Current implied volatility is compared with its own history per underlying, informing whether premium is being sold at a genuinely good level.
Options Trading Dashboard Use Cases You Can Build in Minutes

Read Strategies Rather Than Legs
Individual legs grouped into their strategies such as spreads, condors, covered calls and naked positions, net cost or credit per strategy, current value and unrealised result, maximum profit and loss at expiry, breakevens and the moves that put each at risk.
window.awbMockup = { positionAndStrategy: "Build an options dashboard grouping individual legs into their strategies such as spreads, condors, covered calls and naked positions, showing net cost or credit per strategy, current value and unrealised result, maximum profit and loss at expiry, breakeven levels, and the underlying moves that would put each position at risk.", exposureAndGreeks: "Build an options exposure dashboard showing net delta, gamma, theta and vega across the whole book and by underlying, exposure expressed as equivalent share position, daily theta income against total book value, exposure concentration in one underlying or sector, and how net exposure would change on a stated move in the market.", expiryLadder: "Build an options expiry dashboard listing positions by expiry date with premium at risk, contracts currently in the money and their assignment likelihood, capital or shares required if every in the money position were assigned, expiries clustered on the same date, and positions worth rolling before expiry with the credit available.", volatilityAndPremium: "Build an options premium dashboard showing implied volatility against its own recent range per underlying, premium collected and realised on closed positions by strategy, win rate and average return per strategy, positions opened at low implied volatility relative to history, and the strategies performing best across different volatility conditions."};

See the Aggregate Bet across the Book
Net delta, gamma, theta and vega across the whole book and by underlying, exposure expressed as an equivalent share position, daily theta income against total book value, concentration in one underlying and the effect of a stated market move.
window.awbMockup = { positionAndStrategy: "Build an options dashboard grouping individual legs into their strategies such as spreads, condors, covered calls and naked positions, showing net cost or credit per strategy, current value and unrealised result, maximum profit and loss at expiry, breakeven levels, and the underlying moves that would put each position at risk.", exposureAndGreeks: "Build an options exposure dashboard showing net delta, gamma, theta and vega across the whole book and by underlying, exposure expressed as equivalent share position, daily theta income against total book value, exposure concentration in one underlying or sector, and how net exposure would change on a stated move in the market.", expiryLadder: "Build an options expiry dashboard listing positions by expiry date with premium at risk, contracts currently in the money and their assignment likelihood, capital or shares required if every in the money position were assigned, expiries clustered on the same date, and positions worth rolling before expiry with the credit available.", volatilityAndPremium: "Build an options premium dashboard showing implied volatility against its own recent range per underlying, premium collected and realised on closed positions by strategy, win rate and average return per strategy, positions opened at low implied volatility relative to history, and the strategies performing best across different volatility conditions."};

Remove the Surprises from Expiry Week
Positions by expiry date with premium at risk, contracts currently in the money and their assignment likelihood, the capital or shares required if every in the money position were assigned, expiries clustered on one date and positions worth rolling.
window.awbMockup = { positionAndStrategy: "Build an options dashboard grouping individual legs into their strategies such as spreads, condors, covered calls and naked positions, showing net cost or credit per strategy, current value and unrealised result, maximum profit and loss at expiry, breakeven levels, and the underlying moves that would put each position at risk.", exposureAndGreeks: "Build an options exposure dashboard showing net delta, gamma, theta and vega across the whole book and by underlying, exposure expressed as equivalent share position, daily theta income against total book value, exposure concentration in one underlying or sector, and how net exposure would change on a stated move in the market.", expiryLadder: "Build an options expiry dashboard listing positions by expiry date with premium at risk, contracts currently in the money and their assignment likelihood, capital or shares required if every in the money position were assigned, expiries clustered on the same date, and positions worth rolling before expiry with the credit available.", volatilityAndPremium: "Build an options premium dashboard showing implied volatility against its own recent range per underlying, premium collected and realised on closed positions by strategy, win rate and average return per strategy, positions opened at low implied volatility relative to history, and the strategies performing best across different volatility conditions."};

Know Whether You Are Being Paid Well
Implied volatility against its own recent range per underlying, premium collected and realised on closed positions by strategy, win rate and average return per strategy, positions opened at low implied volatility and performance across volatility conditions.
Know Whether You Are Being Paid Well
Implied volatility against its own recent range per underlying, premium collected and realised on closed positions by strategy, win rate and average return per strategy, positions opened at low implied volatility and performance across volatility conditions.
Build a custom options trading dashboard in 4 simple steps
See positions by strategy with exposure, expiry ladder and assignment risk, so an options book is managed as a whole rather than leg by leg.
Start with positions grouped by strategy rather than by individual leg, net exposure measures, expiry concentration, premium collected against remaining, and assignment risk. Emergent builds around the strategies you actually trade.
Link your broker positions and a market data source including implied volatility. Emergent groups legs into strategies, calculates net exposure across the book and values each position against current market conditions.
Ask to add a strategy type, alter how legs are grouped, change an exposure limit or add an underlying, and the book level view rebuilds around how you actually trade.
Deploy as a web app sized for your screen. Expiry week decisions are made against a ladder of what is at risk rather than by opening each position individually.
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