Trap Failure Planner [AGPro Series]Trap Failure Planner
🧠 Core Idea
Is the trap thesis itself failing and handing control back through the edge?
📌 Overview / What it does
Trap Failure Planner is a chart-first control-return planner for traders who study trap behavior, failed participation, false break recovery, and post-trap execution readiness.
Instead of only marking the first trap or false break, the script watches the second step: after a trap thesis appears, does that thesis keep control, or does price return through the trap edge with enough quality to matter? It produces a 0-100 Failure Score, trap thesis zones, control-return labels, risk-edge guides, target-guide references, alerts, and a compact AG Pro planning panel.
It does not predict future price, automate entries, or claim that a control return must continue. Its role is to organize one specific decision question with clean visual structure.
🎯 Purpose & Design Philosophy
This script was built to fill the gap between first-touch trap markers and practical trade review.
Many tools stop when price runs a level and closes back inside. That can be useful, but traders still need to know whether the trap thesis survives after the first reaction. Trap Failure Planner focuses on that later decision point: is the trap still in control, or did the other side reclaim the edge?
The design supports a planner mindset. It helps traders evaluate state, score, risk edge, target context, and next action without turning the chart into a crowded signal board.
⚡ Why This Script Is Different
Most tools focus on the first false break, sweep, trap label, or reclaim back inside a range.
This script does NOT try to become another false-break trap detector, inducement scanner, liquidity grab detector, stop-hunt map, order block map, or generic support / resistance zone tool.
Instead, it focuses on the failure of the trap thesis itself. The workflow begins only after a trap thesis exists, then waits for control to return through the edge with persistence, follow-through, volume response, and acceptance quality.
That makes it a second-stage trap failure planner, not a first-stage trap detector.
⚙️ Methodology
1. Context Detection
The script builds recent upper and lower trap-thesis rails from prior price action and normalizes behavior with ATR.
2. Reference Mapping
When price probes beyond a rail and closes back inside, the script maps a trap thesis zone between the rail and the probe extreme.
3. Reaction Evaluation
The planner tracks whether price returns through the trap edge within the failure window. The 0-100 model evaluates false break behavior, close recovery, follow-through, volume spike, control-return persistence, and level acceptance.
4. Visual Output
Qualified events print Trap Failed labels, retain the centered trap zone, and project risk-edge and target-guide references.
🗺️ How to Read the Chart
Zones = the active trap thesis area between the control edge and the probe extreme.
Labels = trap thesis states, sparse testing states, and confirmed Trap Failed events.
Colors = teal for bullish control-return context, pink for bearish control-return context, yellow for testing states, indigo for target guides, and red for risk edges.
Panel = the AG Pro summary showing Trap State, Failure Score, Control Shift, Risk Edge, and Action.
🚦 Signals & States
• Upper Trap Thesis → price probed above the upper rail and closed back inside; the planner watches whether that trap thesis survives.
• Lower Trap Thesis → price probed below the lower rail and closed back inside; the planner watches whether that trap thesis survives.
• Return Test → price is challenging the trap edge, but the score or close-count requirement is not complete yet.
• Bull Control Return → an upper trap thesis failed and control returned back above the edge.
• Bear Control Return → a lower trap thesis failed and control returned back below the edge.
🔔 Alerts Logic
Alerts trigger when upper or lower trap thesis states appear and when qualified bull or bear control-return events are confirmed.
High-score alerts require the event score to meet the selected alert threshold.
Alerts are attention markers only. They are not trade instructions, entry commands, or outcome guarantees.
🧩 Confluence Logic
The score becomes stronger when the trap thesis probe is clean, price returns through the trap edge, the return holds for the required close count, follow-through expands, volume rises relative to baseline, and the close location supports the control-return side.
When these components align, the trap failure context becomes cleaner. When they do not align, the script stays in watch, return-test, or reset mode.
📊 When to Use
• Markets with visible trap and failed-participation behavior
• False break structures where the first trap thesis may fail
• Breakout or breakdown attempts that get rejected, then reclaim control again
• Range-edge reviews where traders need a second-stage decision layer
⚠️ When NOT to Use
• Extremely low-liquidity symbols
• Very noisy micro timeframes with erratic wicks
• News spikes where structure changes too quickly
• Charts where recent rails are not meaningful planning references
🎛️ Key Inputs
• Planner Side → choose Auto, Bull Return Only, or Bear Return Only.
• Trap Thesis Lookback → controls the rolling reference rails used for trap thesis detection.
• Failure Window Bars → defines how long a trap thesis remains active before reset.
• Control Return Closes → defines how many closes beyond the edge are required for confirmation.
• Minimum Failure Score → controls how selective confirmed Trap Failed labels are.
• Control Return Buffer ATR → controls how much acceptance beyond the edge is required.
• Risk / Target Settings → control planning guide placement.
• Visual Settings → control zones, guides, labels, panel location, theme, and font sizes.
🖥️ Interface & Visual Design
The panel is built for fast review: state first, score second, control shift third, then risk and action.
The trap thesis zone includes centered text so the chart remains readable without extra floating explanations.
Labels are compact, offset away from candles, and controlled by cooldown and maximum-visible settings.
🧪 Practical Usage Workflow
1. Read the panel to identify whether a trap thesis is active or already failed.
2. Check the trap thesis zone and the edge being tested.
3. Review the Failure Score and Control Shift rows.
4. Use the Risk Edge and target guide as planning references.
5. Confirm the event inside broader market context.
🔍 Interpretation Guidelines
Think in terms of control, not prediction.
A trap thesis label means price created a possible trap context. A Trap Failed label means that thesis lost control according to the script rules. A higher score means the failure was cleaner across the model components, not that the next move is guaranteed.
🚫 What This Script Is NOT
• Not a prediction engine
• Not financial advice
• Not auto trading
• Not guaranteed signals
• Not a false-break trap detector clone
• Not an inducement scanner
• Not a liquidity grab detector
• Not a support / resistance zone scanner
• Not an order block or fair value gap map
⚠️ Limitations & Transparency
Trap behavior depends on timeframe, liquidity, spread, volatility, and market context.
The script uses a deterministic ruleset. It cannot know news context, hidden order flow, participant intent, or whether a control return will continue.
More aggressive settings may show more events but also more noise. More conservative settings may improve selectivity while reducing frequency.
🧠 Market Context Notes
Trap thesis failure often becomes more meaningful when it aligns with broader structure, volatility expansion, session context, or liquidity behavior.
The script is designed to organize that review, not replace it.
🧾 Use Case Examples
When price probes above a recent upper rail, closes back inside, and later returns above that edge with persistence and follow-through, the planner can mark Bull Control Return if the score is strong enough.
When price probes below a recent lower rail, closes back inside, and later returns below that edge with acceptance, the planner can mark Bear Control Return.
🧱 System Philosophy
AGPro decision tools are built to reduce chart ambiguity by turning raw price events into structured review states.
Trap Failure Planner follows that philosophy by separating the first trap thesis from the later question of whether that thesis actually survives.
🔐 Non-Promise Statement
No indicator can remove uncertainty.
No script can guarantee direction, continuation, reversal, or profit.
📉 Risk Disclosure
Trading involves risk.
Users are responsible for their own decisions, risk management, position sizing, and interpretation.
This script is for educational and analytical use only and does not provide financial advice.
📚 Educational Note
Use this script to study what happens after a trap thesis forms. The key question is not only whether price created a trap, but whether that trap can continue to defend control.
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