AB TrapRadar

How it works

An inducement trap is a sequence, not a candle pattern. TrapRadar's state machine requires all four legs:

  Bait — an obvious level forms (minor swing, equal highs/lows, range boundary) that retail will trade the breakout of.

  Trigger — price breaks the level and actually attracts participation; relative volume rises on the breakout bar, confirming traders took the bait.

  Trap spring — within K bars a displacement candle (range greater than 1.5× ATR, closing 70%+ through its range) drives back through the level. Slow drifts back do not qualify.

  Confirmation — price closes beyond the origin of the fake move, leaving trapped positions underwater.

Every confirmed trap is graded A/B/C from breakout volume, displacement magnitude and higher-timeframe alignment, and the failed-breakout origin is drawn as a re-entry zone with a projected target.

Marketplace description

Every fakeout you have ever been caught in was engineered — a level made obvious, a breakout that pulled traders in, and a violent reversal that ran their stops. TrapRadar detects that exact four-stage sequence in real time: bait level, volume-confirmed breakout, displacement reversal, structural confirmation. No single-candle “pin bar” guesswork; a trap only prints when participation was actually trapped (relative volume confirms it) and the reversal was violent (displacement-grade candles only). Every trap is graded A/B/C by volume, displacement and higher-timeframe alignment, with staged alerts so you can strike at the spring or wait for confirmation. Turn the market's oldest trick into your entry model. Non-repainting, EA-ready.


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AriX Indicator for MT5 A powerful trend-following and signal-evaluation tool AriX is a custom MT5 indicator that combines Moving Averages and ATR-based risk/reward logic to generate clear buy/sell signals. It visualizes dynamic SL/TP levels, evaluates past trade outcomes, and displays win/loss statistics in a clean on-chart panel. Key features include: Buy/Sell signals based on MA crossovers ATR-based SL/TP1/TP2/TP3 levels with visual lines and labels Signal outcome tracking with real-time stat
ScalpPoint
Temirlan Kdyrkhan
ScalpPoint is a powerful trading companion designed to generate high-probability entry signals with dynamic TP/SL/DP levels based on volatility. Built-in performance tracking shows win/loss stats, PP1/PP2 hits, and success rates — all updated live. Key Features: Buy/Sell signals with adaptive volatility bands Real-time TP/SL/DP levels based on ATR Built-in MA Filter with optional ATR/StdDev volatility Performance stats panel (Success, Profit/Loss, PP1/PP2) Alerts via popup, sound, push, or emai
ZAB Supply Demand MTF automatically detects institutional supply and demand zones across up to 9 timeframes and draws them directly on your chart. Based on Sam Seiden's methodology, this indicator identifies the exact zones where banks and institutions placed their orders. Why This Indicator? Unlike basic support/resistance tools, ZAB Supply Demand MTF classifies every zone by its formation pattern and merges overlapping zones from different timeframes into high-probability confluence areas. Key
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How it works –   Base-departure detection — algorithmically finds consolidation bases (overlapping range with compressed volatility) followed by displacement departures. Patterns: Drop-Base-Rally, Rally-Base-Drop, Rally-Base-Rally, Drop-Base-Drop — detected structurally, not by candle names. –   Strength score (0–100) — from departure velocity, time-at-base, freshness (each revisit decays the score), higher-timeframe confluence and origin volume. –   Lifecycle — Fresh, Tested (decaying), Broken
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TrendFlow CBL Pro is a complete trend-following indicator built on the Count Back Line (CBL) method — a proven technique for identifying dynamic support and resistance levels based on actual price structure, not lagging averages. It does not just give you an arrow — it gives you a full trading framework : entry signal, stop loss placement, take profit target, phase-colored bars, filter confirmation, and a live performance dashboard — all in one indicator, right on your chart.  Why TrendFlow CBL
How it works Single-signal reversal tools fail because reversals are multi-condition events. ReversalLab scores a confluence stack and only prints above threshold: –   Liquidity sweep of a scored pool — the fuel event. This condition is mandatory. –   Statistical momentum divergence — price extreme versus momentum vector, t-stat filtered. –   Volume climax or absorption at the extreme, from the Effort-vs-Result module. –   Displacement confirmation — a break of the most recent minor structure wi
How it works QuantScore is the suite's flagship: a multi-factor model compressing six independent measurements into one −100…+100 edge score. –   Momentum factor — the regression t-stat from the VectorMomentum core. –   Mean-reversion factor — z-score of price versus its volume-weighted mean, contributing against stretch when the regime is mean-reverting. –   Regime factor — the RegimeLens state sets the weighting between momentum and reversion. This dynamic weighting is the secret sauce; static
How it works –   Multi-anchor engine — Session, Weekly, Monthly and Quarterly VWAPs simultaneously, plus auto-anchored VWAPs from the most recent significant swing high and low, plus unlimited manual click-to-anchor points (news, earnings, breakouts). –   True sigma bands — ±1/±2/±3 sigma computed from the volume-weighted variance of price around VWAP, not a lazy standard deviation of closes. Bands expand realistically with participation. –   Interaction signals — first-touch pullback to session
How it works –   Strict validation chain — a candidate becomes an order block only if all hold: it is the last opposing candle before a displacement move; the displacement breaks structure; the move leaves an imbalance (FVG) behind; and displacement volume exceeds its time-of-day baseline. This removes roughly 90% of what other indicators mislabel as order blocks. –   Grading (A/B/C) — from displacement magnitude, liquidity swept by the block before departing, and higher-timeframe alignment. –  
How it works –   Impulse-leg detection — identifies displacement legs (velocity + range expansion + structural break) worth continuing with. –   Zone projection — for each impulse, projects the confluence-cluster pullback zone: the overlap of the 38–62% retracement band, the breakout origin (old resistance/new support), any fair value gap inside the leg, and the auto-anchored VWAP from the leg's origin. Where two or more overlap, a graded continuation zone prints. –   Regime gate — zones only pr
How it works –   Detection with quality filters — true three-candle imbalances filtered by minimum gap size (ATR-scaled), displacement quality of the middle candle and volume, killing the micro-gap spam that makes FVG tools unusable on low timeframes. –   Fill-state tracking — each gap tracked live: Untouched, Partially filled (with fill %), Fully mitigated, Inverted. –   The headline feature — Inversion (failed FVG): when price closes entirely through a gap, the imbalance inverts. Failed bullis
How it works –   Pool detection — equal highs/lows (within an ATR-scaled tolerance), unswept swing highs/lows, session and daily/weekly extremes, and trendline liquidity (3+ touch diagonal clusters where stops accumulate). –   Pool weighting — each pool scored by touch count, age, round-number proximity and origin timeframe, then drawn with thickness/opacity proportional to score. The chart literally shows where the fuel is. –   Sweep engine — a sweep registers when price wicks through a pool an
ATR tells you yesterday's range. VolCore models the volatility cycle itself: –   Estimator stack — Parkinson, Garman-Klass and Yang-Zhang realized volatility (OHLC-based estimators are 5–8× more efficient than close-to-close). Select one or blend. –   Percentile ranking — current volatility ranked within its own 250-bar distribution, giving a universal 0–100 Vol Rank comparable across all symbols. –   Squeeze detection — Vol Rank below a threshold and still compressing (negative vol-of-vol slope
How it works No RSI, no stochastic. VectorMomentum measures momentum three independent ways and demands agreement: –   Regression-slope t-statistic — a linear regression on log price over N bars; the t-stat of the slope (slope divided by its standard error) gives statistically-significant momentum that self-normalizes across symbols and volatility levels. –   Volume-pressure-weighted rate of change — ROC weighted by relative tick volume, so momentum on dead volume scores lower than the same move
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