Short Strategies
The Short Strategies category contains real-time metrics designed to identify, size, and evaluate short-only opportunities. These setups are separate from the AI-selected Alpha Strategy and offer additional visibility into structurally sound downside scenarios that may not be currently favored by the AI’s primary directional model.
Each metric highlights a different dimension of setup quality—whether through asymmetry, support zone clarity, duration estimates, or actionable target/stop levels. These tools allow for refined filtering and customized screening based on clean short setups with measurable downside potential.
A typical screening workflow may begin with Short Risk/Reward to find setups with favorable downside asymmetry, followed by Path to Target and Estimated Days to validate structure and timing. Finally, the Target and Stop metrics help define clear risk limits and objective exit zones. These metrics support both discretionary and systematic strategies focused on structured short opportunities.
Short - Risk/Reward
Ratio between expected reward and downside risk for short setups. Values of 3+ are highlighted as optimal setups. When no valid support areas are found, the value is marked as -.
This metric is used to surface opportunities where the downside potential significantly outweighs the risk to the upside. It helps isolate high-quality setups with strong asymmetry and supports efficient sorting in screening workflows.
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R/R Short
Short - Risk/Reward 1st
Ratio between expected reward and downside risk calculated from the first identified support level for short setups. Values of 3+ are considered optimal. When no valid support zones are found, the value is marked as -.
This version of the risk/reward metric focuses on the earliest potential move, offering a more conservative estimate. It is useful for identifying early-stage setups or for confirming that initial downside structure is present before targeting deeper moves.
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R/R0 Short
Short - Path to Target
Counts the number of support zones between the current price and the final target for the short setup. A lower count (typically under 2) implies a more direct and structurally clean downside move.
This metric highlights scenarios where there are fewer barriers to the projected downside target—ideal for setups relying on momentum, breakdowns, or continuation patterns. It helps refine risk/reward filters by adding a structural clarity layer.
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Path Short
Short - Estimated Days to Target
Projects how many days it may take to reach the final short-side target, based on historical and implied volatility. The estimate dynamically adjusts with market conditions.
This time-based signal supports duration filtering and time alignment across different strategy horizons. It enables more informed planning when combining short setups into broader screening profiles with temporal constraints.
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Days to Target Short
Short - Target
Identified downside target area for the short setup. If two target levels are available, T1 reflects the more conservative estimate (used in initial risk/reward) and T2 indicates the extended target from the final risk/reward.
This is a key output used for both evaluation and planning. Targets help contextualize expected movement and can be used in combination with stops and timing metrics to finalize a structured short setup.
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Target Short
Short - Stop
AI-identified stop level for the short setup, used to define the upper boundary of acceptable risk. This stop is calculated based on price structure, not static percentage rules.
This provides a disciplined exit framework and helps maintain risk control when used alongside the short risk/reward calculations. It is also useful for automation or alert-setting in structured trade management workflows.
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Stop Short