Build a Custom Swing Trading Dashboard Using AI in Minutes
Describe your Swing 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 a Swing Trading Dashboard
Expectancy per setup in units of risk, with the sample size behind every figure shown.
Sample Size Shown per Setup
Each setup carries how many trades sit behind its numbers, so a promising win rate from six trades is not mistaken for an edge.
Expectancy per Setup
Each setup carries its own win rate and average result, showing which ones earn their place in the playbook.
Discipline Made Visible
Trades taken outside your defined setups are isolated with their results, which is usually the most instructive number available.
Holding Period against Expectation
Positions held beyond their expected timeframe are flagged, since a stalled swing trade is frequently a losing one waiting to happen.
Total Risk across Positions
Committed risk is summed across open trades, preventing several individually reasonable positions becoming one oversized bet.
Watchlist Proximity Ranked
Instruments approaching your entry levels are ranked, so preparation happens before a setup triggers rather than after it.
Swing Trading Dashboard Use Cases You Can Build in Minutes

Know How Many Trades Sit Behind the Number
Closed trades grouped by setup with win rate, average win and average loss in units of risk, expectancy per setup, the number of trades behind each figure, the setup producing most total profit against most per trade and setups whose expectancy declined.
window.awbMockup = { setupExpectancy: "Build a swing trading dashboard grouping closed trades by setup, showing win rate, average win and average loss in units of risk, expectancy per setup, number of trades taken, the setup producing most total profit against most per trade, and setups whose expectancy has deteriorated over the last 30 trades.", openPosition: "Build a swing position dashboard showing every open trade with entry, current price, unrealised result in units of risk, distance to stop and to target, days held against your typical holding period for that setup, total risk currently committed across positions, and positions that have moved beyond their expected timeframe.", watchlistLevel: "Build a swing watchlist dashboard showing instruments you are monitoring with the level you are waiting for, distance from that level, relative volume and range against average, which setup each would qualify as, instruments that reached your level while you were not watching, and candidates ranked by proximity to a valid entry.", marketRegime: "Build a swing trading regime dashboard comparing each setup's results across different market conditions such as trending, ranging and elevated volatility periods, showing which setups only work in one regime, the current regime by your own definition, setups you should be avoiding at present, and how your overall results changed when the regime last shifted."};

Cap the Risk across Every Open Trade
Every open trade with entry, current price, unrealised result in units of risk, distance to stop and target, days held against your typical holding period for that setup, total risk currently committed across positions and trades beyond their expected timeframe.
window.awbMockup = { setupExpectancy: "Build a swing trading dashboard grouping closed trades by setup, showing win rate, average win and average loss in units of risk, expectancy per setup, number of trades taken, the setup producing most total profit against most per trade, and setups whose expectancy has deteriorated over the last 30 trades.", openPosition: "Build a swing position dashboard showing every open trade with entry, current price, unrealised result in units of risk, distance to stop and to target, days held against your typical holding period for that setup, total risk currently committed across positions, and positions that have moved beyond their expected timeframe.", watchlistLevel: "Build a swing watchlist dashboard showing instruments you are monitoring with the level you are waiting for, distance from that level, relative volume and range against average, which setup each would qualify as, instruments that reached your level while you were not watching, and candidates ranked by proximity to a valid entry.", marketRegime: "Build a swing trading regime dashboard comparing each setup's results across different market conditions such as trending, ranging and elevated volatility periods, showing which setups only work in one regime, the current regime by your own definition, setups you should be avoiding at present, and how your overall results changed when the regime last shifted."};

Prepare before the Setup Triggers
Instruments you are monitoring with the level you are waiting for, distance from that level, relative volume and range against average, which setup each would qualify as, instruments that reached your level unnoticed and candidates ranked by proximity.
window.awbMockup = { setupExpectancy: "Build a swing trading dashboard grouping closed trades by setup, showing win rate, average win and average loss in units of risk, expectancy per setup, number of trades taken, the setup producing most total profit against most per trade, and setups whose expectancy has deteriorated over the last 30 trades.", openPosition: "Build a swing position dashboard showing every open trade with entry, current price, unrealised result in units of risk, distance to stop and to target, days held against your typical holding period for that setup, total risk currently committed across positions, and positions that have moved beyond their expected timeframe.", watchlistLevel: "Build a swing watchlist dashboard showing instruments you are monitoring with the level you are waiting for, distance from that level, relative volume and range against average, which setup each would qualify as, instruments that reached your level while you were not watching, and candidates ranked by proximity to a valid entry.", marketRegime: "Build a swing trading regime dashboard comparing each setup's results across different market conditions such as trending, ranging and elevated volatility periods, showing which setups only work in one regime, the current regime by your own definition, setups you should be avoiding at present, and how your overall results changed when the regime last shifted."};

Know Which Setups Only Work in One Market
Each setup's results across different market conditions such as trending, ranging and elevated volatility periods, which setups work in one regime only, the current regime by your own definition, setups to avoid at present and results when the regime last shifted.
Know Which Setups Only Work in One Market
Each setup's results across different market conditions such as trending, ranging and elevated volatility periods, which setups work in one regime only, the current regime by your own definition, setups to avoid at present and results when the regime last shifted.
Build a custom swing trading dashboard in 4 simple steps
Judge each setup on its own record across enough trades to mean something, so a playbook is edited on evidence rather than on the last few results.
Start with the setups you take, the entry and stop criteria for each, your risk per trade, target holding period and the market conditions each setup suits. Emergent builds around your own playbook rather than generic indicators.
Link your broker trade history and a price source. Emergent groups closed trades by setup and expresses results in units of risk, so a large win and a small win are comparable in the way that matters.
Ask to add a setup, alter your risk per trade, change how a market regime is defined or adjust the watchlist criteria, and expectancy and position views rebuild.
Deploy one link you check at the weekend and before taking a position. Watchlist levels and setup expectancy are visible at the moment of a decision rather than reconstructed afterwards.
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