Anomaly Rejection Channel [ARC] ProAnomaly Rejection Channel Pro
📝 Description
The Anomaly Rejection Channel Pro is an advanced, multi-dimensional trading indicator designed to identify high-probability reversal zones (liquidity traps) and price anomalies.
Instead of relying on a single metric, ARC Pro combines dynamic volatility channels (VWMA + ATR), volume spread analysis, price action anatomy (wick rejection), and Multi-TimeFrame (MTF) alignment to filter out market noise. It excels at spotting "Bull Traps" and "Bear Traps"—moments where price breaches a key volatility band but fails to sustain momentum due to volume exhaustion or climax, signaling a high likelihood of a reversal.
Whether you are scalping on lower timeframes or swing trading, the built-in presets and adaptive volatility logic dynamically adjust to current market conditions.
⚙️ Settings & Parameters
📊 Channel Settings
Parameter Preset: Quick-select profiles (Conservative, Balanced, Aggressive, Scalping) that automatically adjust the ATR multiplier, wick requirements, and volume thresholds.
VWMA/ATR Period: The lookback period for calculating the baseline Volume-Weighted Moving Average and the Average True Range.
Base ATR Multiplier: Defines the width of the channel. A higher value requires a larger price deviation to trigger a signal.
Adaptive Multiplier (Volatility): When enabled, the indicator automatically narrows the channel during low volatility and widens it during high volatility to prevent false signals.
🎯 Signal Filters
Volume MA Period: The baseline period to determine relative volume strength.
Volume Exhaustion / Climax Ratio: The specific multipliers used to detect abnormal volume behavior (either drying up or spiking) at the channel extremes.
Min Wick % of Range: The minimum required rejection wick size relative to the total candle body (e.g., a value of 0.4 means the rejection wick must be at least 40% of the candle's total range).
Min Absolute Wick Size (points): An optional hard filter to ignore signals if the rejection wick is too small in absolute point value.
📈 Trend Context
Filter Signals by Trend: Blocks signals that go against the directional momentum of the built-in Trend Line.
Trend Line Period: The smoothing period for the internal trend-detection logic.
Allow Counter-Trend Signals: If enabled, the indicator will print signals against the main trend, which is useful for aggressive mean-reversion trading.
✅ Signal Confirmation
Require Next Candle Confirmation: The signal is only validated if the subsequent candle confirms the reversal direction.
Confirmation: Close Inside Channel: Requires the confirming candle to close back inside the ARC bands, validating the "trap".
Signal Delay (bars): Shifts the visual signal X bars forward (useful for aligning alerts with external execution bots).
🌐 Multi-TimeFrame (MTF)
Use Higher TF Confirmation: Syncs your current chart with a higher timeframe to ensure macro-trend alignment.
Higher TimeFrame: Select the MTF resolution (e.g., 240 for 4-Hour).
MTF Mode: Choose how the higher timeframe filters the local chart:
Trend Only: Local signals must align with the MTF trend.
Rejection Only: Local signals require an active rejection/trap on the MTF.
Trend+Rejection: Combines both filters for maximum accuracy.
Strict Mode: Blocks all signals if the MTF status shows a "Conflict".
🎨 Signal Display
Show Signal Strength (Color): Color-codes the TRAP labels based on confluence (Red/Green for strong, Orange/Lime for moderate).
Mode: Trade Breakouts: Reverses the logic to trade momentum breakouts instead of mean-reversion traps.
Alerts: Configure to fire once per bar or on every tick. Indicator
Price Action Scan: Pulse, Rhythm & Drift [TechnicalZen]Visualize the nested cycles of impulse, swing and trend as professionals see them.
Every chart has three stories running at the same time. You just have to know where to listen.
There's the impulse — the fast, nervous heartbeat of bar-to-bar action. Is this candle a fake-out, or the start of something? There's the swing — the slower rhythm of regimes, the tide that carries a cluster of candles in one direction before it turns. And beneath both, there's the trend — the deep current that doesn't care what the last five bars did, the one that's still pointing north while everything on the surface looks like it's falling apart.
Most indicators hear one of these and talk over the other two. This one tries to listen to all three — separately, at their own natural pace — and show you where they agree and where they don't.
What it actually does on your chart:
Impulse layer — Eight analytical schools (OBV Flow, RSI Zones, Wyckoff, Amplitude, VWMA Delta, Kalman Filter, Naive Bayes, Confluence) each watch the tape through a different lens. When two or more vote the same direction within a few bars, a signal fires with auto-drawn SL and TP zones. Quick, frequent, surgical.
Swing layer — An adaptive trend engine (Adaptive Pivots) tracks regime shifts independently. It sits quiet during trends and flips when the character of the move breaks down — drawing its own SL/TP zones in light yellow so you never confuse them with the council's. Slower, fewer signals, bigger picture.
Trend layer — An exponential VWAP (EVWAP) drifts underneath everything, marking the deep structural direction with quiet yellow arrows when it finally turns. Slowest of the three. The gravity that the other two orbit around.
Every school's accuracy is tracked live on your chart — not backtested on some ideal instrument, but measured in real time on yours , using Maximum Favorable Excursion over a 12-bar window. A dashboard shows each school's vote, its recent history, and its running hit-rate. You'll know within days which schools are earning their place on your symbol and which ones are just noise.
The real edge isn't any single layer — it's watching all three breathe together. A council impulse signal during a clean adaptive trend in the direction of the EVWAP drift is a very different animal from the same signal fighting the other two. The indicator doesn't force that observation on you. It just gives you the pieces. You'll start seeing the pattern yourself.
———
Builds on TrueMove: Council of 7 Schools — the original council, its voting engine, its dashboard, its VWAP structure — all unchanged and fully intact. What's new are two additions :
———
Addition 1 — An eighth school: RSI Zones
The council is now a vote of eight, not seven. The new voter is a classical RSI zone school with a directional bias — it casts a bullish or bearish vote when price closes inside a configurable zone and the move has momentum behind it. The idea was to give the council a "pure price memory" voice, since the other seven schools lean heavily on volume, structure, or learned features. RSI Zones balances the ensemble a little, and earns or loses its place on your instrument the same way every other school does — through its own running hit-rate in the dashboard.
You can turn it off in settings if you prefer the council at seven.
———
Addition 2 — A ninth school that doesn't vote: Adaptive Pivots
This is the bigger change, and the one that changes how the chart feels .
Adaptive Pivots is an adaptive SuperTrend overlay that runs completely independently of the eight council schools — its own ATR, its own Efficiency Ratio, its own quality index, its own state machine. It doesn't contribute to the council vote and the council doesn't feed into it. They simply share the chart.
It earns the name "school" only because it keeps its own running hit-rate and gets a row of its own in the dashboard — a yellow-highlighted row so you can see at a glance that it lives slightly outside the council. When the adaptive trend flips, you see:
a small yellow-ringed triangle at the flip point
a continuous green or red line showing the current regime
three stacked take-profit zones and a stop-loss zone, framed in light yellow dotted outlines so they're visibly distinct from the council's own risk visuals
Under the hood it's an adaptive SuperTrend whose band widths are modulated by a four-factor Trend Quality Index — a composite that blends directional efficiency, volume regime, structural position within range, and momentum persistence. The bands tighten asymmetrically on the active side of the trend and widen on the passive side, so the ratchet locks tight when quality is high and loosens gracefully when quality degrades. A character-flip mechanism catches regime collapse before price has to break the band, which is what gives it its earlier reaction on quality-driven reversals.
———
A small thing that might happen once you have it running
The council fires often — that's its job. The RSI zone school will vote, the Naive Bayes will vote, the Confluence will catch agreements, and labels will come and go on the chart like a heartbeat.
The adaptive line, on the other hand, sits quiet for long stretches and then flips.
And somewhere in the background, the same EVWAP line from the original is drifting along at its own slow pace, occasionally marking its own direction change with a quiet yellow-circled arrow.
Leave the chart open for a while and you'll start noticing something — the three tempos drift in and out of agreement. A council signal during a clean adaptive trend feels different from a council signal against the adaptive trend. An adaptive flip while EVWAP is still drifting the other way feels different from a flip that agrees with EVWAP. None of this is enforced by the script; it just happens, because the three things are measuring genuinely different properties of the same price series.
I don't want to over-describe it. It's the kind of thing you notice rather than read about, and I'd rather you notice it on your own instrument than take my word for how it behaves on mine.
———
Dashboard and transparency
The top-right panel is still there and still shows every school individually — current vote, recent vote history, running hit-rate tracked by Maximum Favorable Excursion over a 12-bar window. The new Adaptive Pivots row sits just below the eight council schools, highlighted in yellow so it's clear it's scored independently. The council accuracy, signal counts, Naive Bayes learning status, and volatility regime readouts are all unchanged from the 7 Schools version.
All nine schools can be toggled individually. The adaptive layer's ATR length, pivot length, quality influence, and character-flip sensitivity are all exposed in settings. Everything else uses well-tested defaults.
———
How to get something out of it
The honest advice is the same advice I'd give for the original: don't act on it for a while. Put it on a chart you already trade, in replay or live, and watch. See when the council and Adaptive Pivots agree. See when they don't. Notice which of the nine schools is earning its keep on your symbol and which ones are drifting. The dashboard is telling you the truth about your instrument, not about mine.
If you find a setting that works better for you than the defaults, keep it. If you find one that doesn't work at all, let me know — it's the kind of feedback I genuinely use.
———
Disclaimer
This indicator is a decision-support and analytical tool. It is not financial advice, a trading signal service, or a recommendation to buy or sell any instrument. The hit-rate figures displayed in the dashboard are measured from historical bars on your chart using Maximum Favorable Excursion over a fixed 12-bar window — they are a diagnostic of how each school has behaved on that specific chart up to the current bar , not a predictor of future performance, and not a claim of profitability. Past behavior of any indicator, including this one, does not guarantee or imply future results.
Markets involve substantial risk of loss. Any decision to act on information derived from this script is entirely your own. You are responsible for your own position sizing, risk management, and trade execution. The author accepts no liability for any loss, direct or indirect, arising from the use of this script.
Use it as a lens for reading charts, not as a crystal ball. Always trade within your own risk tolerance and regulatory environment.
Indicator
Hurst Exponent Adaptive Supertrend [QuantAlgo]🟢 Overview
The Hurst Exponent Adaptive Supertrend identifies trending and mean-reverting market conditions by dynamically adjusting its sensitivity and band width based on the real-time persistence of price movement. It estimates the Hurst exponent through variance scaling to classify the current market regime, applies a Kalman smoother with a Hurst-scaled tracking gain to follow price with regime-appropriate responsiveness, and constructs a supertrend band whose width expands in choppy conditions and contracts in strongly trending ones. This allows traders to stay positioned through genuine trends while filtering out noise-driven whipsaws across any timeframe or instrument.
🟢 How It Works
The indicator's core methodology centres on a three-layer pipeline: regime classification via the Hurst exponent, adaptive price smoothing via a Kalman filter, and dynamic band construction that responds to the estimated market state.
First, the Hurst exponent is estimated by comparing short-run and long-run return variance over the configured lookback window. A lag-q variance is scaled against a lag-1 variance, and the ratio is log-transformed to produce a raw H value that is then clamped between 0 and 1:
var1 = ta.variance(close - close , active_h_period)
varq = ta.variance(close - close , active_h_period)
H_raw = math.log(varq / math.max(var1, 1e-10)) / (2.0 * math.log(active_h_lag))
H = math.max(0.0, math.min(H_raw, 1.0))
H values above 0.5 indicate persistent, trending behaviour. Values below 0.5 indicate mean-reversion or choppiness. This reading then drives every downstream calculation.
Next, a Kalman smoother tracks price using a gain that is amplified in trending regimes and suppressed in choppy ones, keeping the smoothed price line tight to momentum when it matters and sluggish when it does not:
adaptive_gain = math.max(math.min(active_kf_gain * (0.5 + safeH), 0.99), 0.01)
kf := na(kf ) ? close : kf + adaptive_gain * (close - kf )
Finally, the ATR-based band width is computed using a Hurst-scaled multiplier. When H is low (choppy market), the multiplier is large, widening the band to avoid false flips. When H is high (strong trend), the multiplier approaches the base value, keeping the band tight to price:
h_mult = active_atr_base + active_atr_hscale * (1.0 - safeH)
band = ta.atr(active_atr_len) * h_mult
The supertrend logic then ratchets the upper and lower bands in the direction of the prevailing trend, flipping state only when the Kalman-smoothed price crosses the opposing band. This prevents band drift from causing premature reversals during normal consolidation:
upBand := prevT == 1 ? math.max(kf - band, prevUp) : kf - band
dnBand := prevT == -1 ? math.min(kf + band, prevDn) : kf + band
trend := kf > prevDn ? 1 : kf < prevUp ? -1 : prevT
🟢 Signal Interpretation
▶ Bullish Trend (Supertrend Line Below Price with Bullish Color): When the Kalman-smoothed price crosses above the upper band, the indicator flips to a bullish state and the trailing line plots below price as a dynamic support level - the floor that price must decisively break before the uptrend is considered invalidated. The support level ratchets higher with each new bar, never pulling back, locking in the floor as the trend develops. In choppy regimes the band width is deliberately wide, meaning price can pull back significantly without breaching support, keeping traders positioned through noise-driven corrections that lack genuine bearish conviction.
▶ Bearish Trend (Supertrend Line Above Price with Bearish Color): When the Kalman-smoothed price crosses below the lower band, the indicator flips to a bearish state and the trailing line plots above price as a dynamic resistance level - the ceiling price must reclaim before a bullish reversal is confirmed. The resistance level ratchets lower with each new bar, tightening the ceiling as the downtrend develops. As with the bullish state, a wide band in low-H environments requires a substantial recovery move before the indicator reverses, allowing traders to hold directional bias through corrective bounces that stay within the noise threshold.
🟢 Features
▶ Preconfigured Presets: Three optimised parameter sets tailored to different trading styles and timeframes. "Default" delivers balanced trend detection for swing trading on 4-hour and daily charts, with moderate Kalman gain and band scaling suited to typical momentum cycles. "Fast Response" uses a higher tracking gain, shorter ATR window, and tighter base multiplier for intraday trading on 5-minute to 1-hour charts, producing earlier trend flips better suited to active traders. "Smooth Trend" applies a lower Kalman gain, longer ATR period, and wider band scaling for position trading on daily and weekly charts, confirming only major directional shifts with minimal false positives.
▶ Built-in Alerts: Two alert conditions enable automated monitoring of trend transitions without constant chart observation. "Bullish Trend Signal" triggers on the bar the indicator first flips to a bullish state, alerting for potential long entries. "Bearish Trend Signal" fires on the bar the indicator first confirms a bearish state, signalling potential short entries or long exits. Both alerts include the exchange, ticker, and timeframe in the alert message for immediate context.
▶ Visual Customisation: Six color presets (Classic, Aqua, Cosmic, Cyber, Neon, and Custom) accommodate different chart themes and personal preferences, with coordinated bullish and bearish color schemes applied consistently to the trend line. When the Custom preset is selected, independent color pickers for bullish and bearish states allow full manual control over the indicator's appearance.
Indicator
Scalper Pro 3 Min GoldDesigned specifically for low-timeframe scalping (ideal for 1m and 3m charts, especially on XAUUSD/Gold), the Scalper Pro 3 Min Gold is an advanced market structure breakout indicator that filters out market noise to catch explosive momentum.
Instead of giving a signal at every minor high/low cross, this script uses strict logic to ensure you only enter high-probability setups. It automatically calculates your risk and visualizes the exact Entry, Stop Loss, and Take Profit zones directly on your chart.
Key Features:
Smart Structure Breakouts: Uses internal Pivot High/Low calculations to identify true Market Structure Shifts (MSS). Stop losses are dynamically placed at the most recent logical swing low/high, not just the previous candle wick.
Consolidation Filter (Anti-Chop): The indicator analyzes the recent ATR. It requires the price to be in a tight accumulation/consolidation zone before a breakout occurs. This keeps you out of choppy, sideways markets and fakeouts.
Cooldown System: Prevents overtrading. After a valid signal is fired, the indicator enters a customizable "cooldown" period where it ignores erratic back-to-back signals.
Auto Risk:Reward Projection: Instantly draws professional Stop Loss (Red) and Target (Teal) boxes with clean labels based on your selected R:R multiplier (Default is 1:2).
How to Use:
Apply to a 1-minute or 3-minute chart (Highly optimized for Gold).
Wait for the indicator to draw the Entry/Target boxes.
The Stop Loss is automatically placed at the safest structural pivot. Execute your trade and let the price run to the projected Teal target zone.
Fully customizable inputs allow you to adjust the R:R ratio, consolidation strictness, and cooldown length to fit your personal scalping strategy. Indicator
Indicator
Indicator
Quantum Scalper 5MWelcome to the Quantum Scalper 5M, a highly precise, confluence-based reversal indicator designed specifically for lower timeframes. Unlike traditional indicators that generate signals on simple crossovers, this system is built on a strict "Touch & Reject" logic, filtering out market noise and focusing only on high-probability reversal zones.
🔥 Core Philosophy: The Power of Triple Confluence
A signal is ONLY generated when price simultaneously interacts with three independent technical components. It must "touch/wick" the extreme levels of all three components and strictly "close" inside them, confirming a valid rejection.
Support & Resistance (SR): Dynamic lookback-based structure levels.
Bollinger Bands (BB): Volatility-based standard deviation bands.
Quantum Trend Flow (QTF): An advanced ATR and Volatility-based dynamic channel.
⚙️ Key Features:
Strict "Touch & Reject" Logic: Buy signals appear only when the low of the candle touches the lower BB, lower QTF, and Support, while the close remains above them. Sell signals require the exact opposite at resistance zones.
Dynamic Risk/Reward (RR) Boxes: Once a signal is triggered, the indicator automatically draws a real-time Risk/Reward box (Default: 0.5% SL, 1.0% TP). These boxes dynamically extend to the right with every new candle until the Take Profit or Stop Loss is explicitly hit, acting as a visual trade journal on your chart!
Multi-Timeframe (MTF) Trend Filter: An optional built-in higher timeframe filter ensures you are only taking scalp trades in the direction of the macro trend.
Momentum & Trend Dashboard: A clean, non-intrusive dashboard displays the current MTF Trend status, RSI-based Momentum strength (Strong/Weak Bull or Bear), and the last active signal.
Clean Visuals: By default, the complex bands and channels are hidden to keep your chart perfectly clean. You only see what matters: Price action, strict signals, and your dynamic RR boxes.
📊 How to Use:
Timeframe: Optimized for 5-minute (5M) and 15-minute (15M) charts.
Markets: Highly effective on Crypto, Forex, and Indices with decent volatility.
Risk Management: The dynamic RR boxes are visual guides. Always use hard stop losses in your actual exchange terminal.
Disclaimer: This script is for educational purposes only and does not constitute financial advice. Always backtest strategies before using real funds. Indicator
Smash Reversal(MastersinMarkets)Smash Reversal (MastersinMarkets)
Description
The Smash Reversal is a price-action-based technical indicator designed to identify exhaustion points in the market. It targets "Smash Bar" setups, which occur when a price trend overextends significantly beyond recent historical boundaries before showing signs of a reversal. This tool helps traders visualize these specific high-velocity exhaustion moments on any timeframe, providing a systematic way to monitor trend shifts without relying on lagging oscillators.
Core Logic
The script identifies two distinct phases for a valid signal:
The Smash Bar (Exhaustion) : For a bullish setup, a bar must close below the lowest low of the user-defined lookback period. For a bearish setup, it must close above the highest high of that period.
Price Action Filter : The logic incorporates an isOutside check to ignore "Outside Bars," ensuring that indecisive market range expansions do not trigger false exhaustion signals.
Confirmation Trigger : A signal is only plotted when the current bar’s price breaks the high (for buys) or low (for sells) of the preceding Smash Bar, confirming that momentum has officially shifted.
Uniqueness :
This indicator is unique because it combines relative price extremes with a strict confirmation requirement. While many reversal scripts trigger immediately upon a new low or high, the Smash Reversal requires:
A specific close-to-low/high relationship.
The exclusion of indecisive "Outside Bar" volatility.
Secondary price action confirmation before the signal appears. This multi-step validation is designed to protect traders from "falling knives" in strong trending environments.
Key Features :
Dynamic Lookback Inputs: Traders can independently adjust the "Smash Buy" and "Smash Sell" lookback periods to suit different market volatilities.
Visual Background Highlights: The script automatically shades the background of a valid Smash Bar (exhaustion candle) to alert the trader before the actual signal is triggered.
Non-Repainting Signals: The shapes are plotted using an offset to ensure that once a signal is confirmed and the bar closes, it remains fixed on the chart.
How to Use :
Identify the Setup: Look for the highlighted background areas on your chart. This indicates a potential "Smash" exhaustion is occurring.
Wait for the Triangle: Only enter a trade when the SeaGreen (Bullish) or Black (Bearish) triangle appears, as this signifies that price has successfully broken the Smash Bar’s extreme.
Settings Adjustment: If trading highly volatile assets like Nifty or Bank Nifty, consider increasing the lookback period to filter out minor price fluctuations.
Disclaimer :
Trading involves significant risk. This indicator is a tool for technical analysis and does not constitute investment advice. Past performance, as shown in any historical chart examples, is not a guarantee of future results. The future is fundamentally unknowable, and traders should always use appropriate stop-loss orders and risk management. Indicator
Indicator
Exponential Hull Momentum [BackQuant]Exponential Hull Momentum
Overview
Exponential Hull Momentum is a normalized momentum oscillator built from an Exponential Hull Moving Average -style transformation. Its purpose is to measure whether smoothed directional pressure is pushing toward the upper or lower end of its own recent range, while keeping the response faster and cleaner than a plain moving-average oscillator.
At a high level, the script does three things:
Builds a fast, low-lag smoothed series using an Exponential Hull-style calculation.
Normalizes that series against its own rolling high-low range so the output fits into a bounded oscillator-style scale centered around zero.
Optionally smooths the oscillator with a selectable moving average so you can use a secondary signal line or regime filter.
The final result is an oscillator that tries to answer:
Is momentum pushing toward the strong positive end of its recent range?
Is momentum collapsing toward the negative end?
Is the current move still expanding, or is it rolling over relative to its own smoothed state?
What this indicator is actually measuring
This indicator is not measuring raw returns, not measuring RSI-style up/down closes, and not measuring volatility. It is measuring the position of a low-lag smoothed price transform within its own recent rolling range .
That distinction matters.
It means:
Positive values indicate the Exponential Hull series is in the upper half of its recent normalized range.
Negative values indicate it is in the lower half of its recent normalized range.
Extreme positive values suggest strong upward momentum persistence.
Extreme negative values suggest strong downward momentum persistence.
Because it is normalized, the oscillator is less about absolute price level and more about relative momentum state .
Where the “Hull” idea comes from
The Hull Moving Average family exists to solve a classic moving-average problem:
If you smooth more, you reduce noise but increase lag.
If you smooth less, you reduce lag but increase noise.
Alan Hull’s core idea was to combine moving averages in a way that compensates for lag before applying a final smoothing stage. The classic HMA uses weighted moving averages. This script uses the same structural idea, but with EMAs instead , producing an Exponential Hull-style moving average .
So instead of a classic HMA, the script constructs:
A fast EMA on half-length input.
A slower EMA on full-length input.
A lag-compensated intermediate value using 2 * fast - slow.
A final EMA smoothing pass using sqrt(length).
This is why it is called Exponential Hull Momentum . The “Hull” part refers to the lag-reduction structure, the “Exponential” part comes from using EMA instead of WMA.
The EHMA calculation step by step
The core function is:
EHMA(_src, _length) =
EMA( 2 * EMA(_src, _length / 2) - EMA(_src, _length), round(sqrt(_length)) )
Let’s break that down.
1) Fast EMA on half length
EMA(_src, _length / 2)
This reacts quickly to recent price changes.
2) Slow EMA on full length
EMA(_src, _length)
This is smoother and more delayed.
3) Lag compensation
2 * fastEMA - slowEMA
This is the critical step. It pushes the result toward the faster average while subtracting part of the slower lagging component. Conceptually, it behaves like a “de-lagged” smoother. It is related in spirit to reduced-lag constructions like DEMA and TEMA, though implemented in a Hull-style framework.
4) Final smoothing
EMA(lag_compensated_series, sqrt(length))
This final pass cleans up the compensated series so it remains usable as a smooth momentum engine rather than a noisy de-lagged line.
So the oscillator’s underlying subject is not raw price, but this EHMA subject series .
Why use EHMA instead of a plain EMA or raw price
A raw price oscillator is often too noisy. A plain EMA oscillator is smoother, but can still lag too much. EHMA tries to balance:
Faster reaction than a standard EMA.
Cleaner shape than a raw de-lagged transform.
More sensitivity to directional bursts.
That makes it useful for momentum work, especially when you want:
Earlier momentum regime shifts.
Cleaner trend-state transitions.
A bounded oscillator rather than an overlay line.
Normalization: turning the EHMA into an oscillator
After computing the EHMA subject, the script normalizes it using its own rolling lowest and highest values over a user-defined normalization period:
lowest = lowest(subject, norm_period)
highest = highest(subject, norm_period)
plotosc = (subject - lowest) / (highest - lowest) - 0.50
This transforms the EHMA series into a bounded range centered around zero.
Interpretation:
If subject is near the rolling highest, plotosc approaches +0.5.
If subject is near the rolling lowest, plotosc approaches -0.5.
If subject is near the middle of the rolling range, plotosc is near 0.
So the oscillator is essentially:
Where is the current EHMA value sitting within its recent high-low envelope?
Why normalization matters
Without normalization, the EHMA value itself would still be in price units, which makes comparison harder across:
Different assets,
Different timeframes,
Different price regimes.
Normalization gives you a common scale:
-0.5 to +0.5, centered at 0
That makes the output much easier to use as a momentum state tool.
What the oscillator values mean
Near +0.5
The EHMA subject is pressing against the upper end of its rolling range. This usually means:
Strong bullish momentum,
Persistent upward movement in the smoothed series,
A possible “stretched” positive momentum condition.
Near -0.5
The EHMA subject is pressing against the lower end of its rolling range. This usually means:
Strong bearish momentum,
Persistent downward movement,
A possible stretched downside state.
Near 0
The EHMA subject is near the midpoint of its recent range. This can mean:
Momentum is neutral,
Momentum is transitioning,
The market is compressing or chopping relative to recent structure.
Important nuance about the oscillator scale
This is not a z-score . It is not measuring “standard deviations from mean.” It is a min-max style range normalization . That means:
The output depends on the recent highest and lowest subject values.
If the rolling range changes sharply, oscillator sensitivity can change too.
The same oscillator value does not imply the same statistical rarity across all contexts.
It is best read as a relative range-position momentum oscillator , not as a probabilistic metric.
Signal line / moving average layer
The script optionally applies a second smoothing layer directly to the oscillator:
sig_ma = MA(plotosc, malen, matype)
You can choose from many MA types:
SMA
EMA
DEMA
TEMA
RMA
WMA
HMA
T3
ALMA
LINREG
VWMA
This signal line is not required for the core oscillator to work. It is a secondary interpretation layer that can be used for:
Momentum confirmation,
Cross-based entry logic,
Smoothing out the oscillator for regime filtering,
Visual comparison between raw momentum and smoothed momentum.
The script note suggests that if you want to use the MA more like a signal histogram, you can change its style to columns in the style menu.
Why a selectable MA matters
Different traders want different signal characteristics:
SMA/EMA for classic smoothing,
DEMA/TEMA for lower lag,
HMA/T3/ALMA for smoother trend-state filtering,
LINREG for slope-sensitive behavior,
VWMA if you want volume-weighted smoothing.
This makes the indicator more flexible without changing the core EHMA oscillator.
Color gradient logic
The oscillator columns are colored using thresholded intensity zones rather than a continuous gradient function. The color changes as the oscillator moves further away from zero.
For positive values:
Weak positive: lighter cyan/green tones.
Moderate positive: stronger green.
Strong positive: bright green.
Extreme positive near +0.5: intense bright green.
For negative values:
Weak negative: orange/red tint.
Moderate negative: deeper red.
Strong negative: bright red.
Extreme negative near -0.5: intense red.
This means the plot does two jobs at once:
Direction from sign,
Relative momentum intensity from color saturation.
So even without reading the value numerically, you can see whether momentum is:
Barely positive,
Strongly positive,
Barely negative,
Or deeply negative.
Static levels and what they mean
The script draws fixed zones:
+0.5 and +0.4
-0.4 and -0.5
0 midline
These create:
An upper “overbought / strong positive momentum” zone from 0.4 to 0.5
A lower “oversold / strong negative momentum” zone from -0.4 to -0.5
A midline at 0 separating positive from negative momentum territory
Important:
These are momentum extreme zones , not traditional RSI overbought/oversold zones.
Strong trends can stay pinned near +0.5 or -0.5 for long periods.
Extreme readings do not automatically mean reversal.
The fill between the upper and lower static boundaries just makes those zones easier to identify visually.
Midline logic
The zero line is the most important structural level in the oscillator:
Above 0 = EHMA is in the upper half of its recent range, positive momentum regime.
Below 0 = EHMA is in the lower half of its recent range, negative momentum regime.
The alert conditions are built on this exact logic:
Long alert on crossover above 0
Short alert on crossunder below 0
So the core directional interpretation is midline-based.
How to interpret the indicator in practice
1) Momentum regime
The cleanest use is as a regime filter:
Above 0: positive momentum bias.
Below 0: negative momentum bias.
This alone can already be useful for:
Filtering entries,
Avoiding countertrend setups,
Aligning with the dominant smoothed momentum state.
2) Momentum intensity
The closer the oscillator moves toward +0.5 or -0.5, the stronger the recent momentum relative to its own normalized range.
This can help distinguish:
Weak trend drift,
Healthy trend continuation,
Momentum surge / expansion,
Potential exhaustion zones.
3) Transition behavior
Watch how the oscillator behaves around 0:
Fast thrust through 0 often signals a fresh momentum shift.
Repeated chop around 0 often signals indecision or sideways conditions.
A flattening oscillator after an extreme reading often shows momentum deterioration before price fully turns.
4) Using the moving average signal
If enabled, the MA of the oscillator can help identify:
When raw momentum is accelerating away from smoothed momentum,
When momentum is rolling over,
Whether the oscillator move is broad and sustained or only a short burst.
A common interpretation:
Oscillator above signal MA and above zero = strong bullish momentum structure.
Oscillator below signal MA and below zero = strong bearish momentum structure.
Divergence between oscillator and signal MA = momentum fading or transitioning.
What makes this different from RSI or stochastic-style oscillators
This script is structurally different from standard oscillators.
Compared to RSI
RSI is based on the ratio of average up closes to down closes. It measures directional internal strength of return behavior.
EHMA Momentum instead:
Starts from a low-lag smoothed price transform,
Then asks where that transform sits in its recent range.
So it is more “structure-relative momentum” than “up/down return balance.”
Compared to Stochastic
Stochastic asks where price closes relative to recent high-low range.
EHMA Momentum asks where the EHMA-smoothed subject sits relative to its own recent subject range.
That means:
It is less raw than stochastic,
More smoothed,
Potentially less noisy,
And more focused on directional structure than candle location.
Parameter behavior
Exponential Hull Calculation Period (len)
Controls how the EHMA subject is built.
Very low values make the subject extremely reactive.
Higher values smooth the subject more and reduce sensitivity.
Since the default is very small, this script is designed to be sharp and responsive by nature.
Normalization Period (norm_period)
Controls the rolling high-low range used to normalize the subject.
Higher values create a broader historical range and smoother normalization.
Lower values make the oscillator adapt faster, but it can become more jumpy and “range-reset” more often.
Signal MA Period and Type
Controls how smooth the optional secondary line is.
Shorter MA = faster cross behavior.
Longer MA = slower, steadier confirmation.
Strengths of this approach
Fast response because of the Exponential Hull construction.
Easy interpretation because of bounded normalized output.
Works well as a regime filter via the zero line.
Intensity is visually clear from both height and color.
Flexible because of optional multi-type signal smoothing.
Limitations and what to watch for
Because the oscillator is min-max normalized, extreme values can persist in strong trends.
A rolling highest/lowest normalization can make the oscillator “reset” as old extremes leave the window.
On very low lengths, the EHMA can become highly reactive and potentially noisy.
Zero-line crosses can whipsaw in sideways markets, especially if normalization is too short.
So this tool is best used with context:
Trend structure,
Market regime,
Higher timeframe bias,
Or combined with the signal MA and price action.
Summary
Exponential Hull Momentum is a normalized momentum oscillator built from an EMA-based Hull-style smoothing engine. It first creates a low-lag Exponential Hull series, then normalizes that series within its own rolling high-low range so the output oscillates around zero between roughly -0.5 and +0.5. Positive values indicate the EHMA subject is pressing into the upper half of its recent range, negative values indicate the lower half, and the distance from zero reflects relative momentum strength. Static zones highlight extreme positive and negative momentum states, while an optional multi-type moving average can be used as a secondary signal or smoothing layer. Indicator
NQ Micro Command ScalperNQ Micro Command – Scalper (1m/5m)
A fast-paced scalping system engineered for the Nasdaq-100 Index (NQ / MNQ), built to capture quick, high-probability moves on the 1-minute and 5-minute timeframes. This script focuses on precision entries by combining short-term momentum, micro structure, and rapid confirmation signals.
Designed for active traders, NQ Micro Command identifies scalp-ready setups through alignment of 5m bias with 1m execution, helping you enter at optimal points during bursts of volatility. Whether targeting quick breakouts or short pullbacks, the system filters noise and highlights only the most actionable opportunities.
Ideal for traders who want to:
*Execute quick, disciplined scalps
*Trade momentum shifts in real time
*Align micro entries with short-term trend
*Take advantage of volatility in the NQ/MNQ
A sharp, no-delay approach to intraday scalping—built for speed, clarity, and consistency. Indicator
Volume Bubbles [QuantAlgo]🟢 Overview
The Volume Bubbles indicator is a multi-layered volume cluster detection system that identifies statistically significant volume events directly on your price chart, classifying them by magnitude (Small, Medium, Big) and direction (Buy, Sell, Mixed). By combining adaptive percentile thresholds across multiple lookback windows with optional volume delta analysis, this indicator highlights moments of elevated trading activity that often signal institutional participation, trend acceleration, or potential reversals across every timeframe and market.
🟢 How It Works
The indicator begins by establishing a lower timeframe for volume delta calculation. When auto-select is enabled, it picks a granular timeframe based on your chart period, using 1-second bars for sub-minute charts, 1-minute bars for intraday charts, 5-minute bars for daily charts, and 60-minute bars for higher timeframes. This allows the indicator to estimate net buying and selling pressure within each chart bar:
= taLib.requestVolumeDelta(lowerTimeframe)
float netDelta = nz(lastDelta)
float absDelta = math.abs(netDelta)
The core detection engine then calculates percentile thresholds for both volume and absolute delta across three independent lookback windows (Short, Medium, Long). Each window computes its own threshold for each cluster tier using linear interpolation:
float vSmallShort = ta.percentile_linear_interpolation(volume, shortLen, smallPct)
float vSmallMid = ta.percentile_linear_interpolation(volume, midLen, smallPct)
float vSmallLong = ta.percentile_linear_interpolation(volume, longLen, smallPct)
This means a bar's volume is not compared against a single average but ranked against the full distribution of recent volume history from multiple perspectives. A Small cluster must exceed the 75th percentile (top 25%), a Medium cluster the 90th percentile (top 10%), and a Big cluster the 97th percentile (top 3%) by default.
To filter noise, a consensus system requires agreement across the lookback windows before confirming a cluster:
f_consensus(bool pS, bool pM, bool pL, string mode) =>
int hits = (pS ? 1 : 0) + (pM ? 1 : 0) + (pL ? 1 : 0)
switch mode
"Any Window" => hits >= 1
"Majority (2 of 3)" => hits >= 2
"All Windows (strictest)" => hits >= 3
In Majority mode, for example, at least two of the three windows must agree that volume exceeds the threshold before a cluster is plotted. This prevents false signals from temporary spikes that look significant in one context but not another.
Once a cluster is confirmed, it is classified as Buy, Sell, or Mixed based on the selected method. Candle Direction uses the bar's open/close relationship, Delta Direction uses the sign of net volume delta, and Both requires agreement between the two, labeling any conflict as Mixed.
🟢 Key Features
▶ The indicator offers four detection methods, each designed to balance sensitivity and precision depending on data availability and trading style.
1. Volume Only: Uses raw bar volume as the sole input for cluster detection. This is the simplest and most universal mode, working on any symbol that provides volume data. It identifies all statistically elevated volume events regardless of whether buying or selling dominated, making it useful for spotting general activity surges around key levels, news events, or session opens.
2. Delta Only: Uses the absolute value of net volume delta instead of total volume. This mode triggers only when directional pressure (not just raw activity) is statistically elevated. It filters out high-volume bars where buying and selling were roughly balanced, focusing instead on bars where one side clearly dominated. Requires lower timeframe data availability.
3. Volume + Delta: Both volume and delta must independently exceed their respective percentile thresholds. This is the strictest detection mode. A cluster only appears when there is both unusually high total activity and unusually strong directional flow, filtering out ambiguous bars where volume was high but evenly split between buyers and sellers.
4. Volume OR Delta: Either elevated volume or elevated directional delta triggers a cluster. This is the most inclusive mode, capturing both pure volume events (such as index rebalancing or option expiration activity) and strong directional surges that may occur on relatively normal total volume. Best suited for traders who prefer broader coverage and are comfortable filtering signals with additional context.
▶ Detailed Tooltip Overlay: Hovering over any bubble reveals a comprehensive diagnostic panel summarizing the full context behind that cluster. The tooltip displays the cluster tier and direction label (e.g., BIG BUY or MEDIUM SELL), the formatted volume value, net delta value (or "n/a" if delta data is unavailable), the volume-to-average ratio expressed as a multiple, the active detection method (with a fallback note if delta was unavailable and the method defaulted to Volume Only), the individual window confirmations for both volume and delta shown as a compact S M L grid indicating which of the short, medium, and long lookback windows passed their threshold, and the classification mode used to determine the buy/sell label. This gives full transparency into exactly why each cluster was detected and how it was classified, without cluttering the chart itself.
▶ Built-in Alert System: Pre-configured alert conditions for Big clusters, Medium-or-larger clusters, and any cluster detection, allowing you to receive notifications for the volume events that matter most to your strategy.
▶ Visual Customization: Choose from 5 color presets (Classic, Aqua, Cosmic, Cyber, Neon) or define your own custom color scheme. Optional in-bubble text displays volume, delta, ratio, or combinations, while the tooltip diagnostic panel remains accessible on hover regardless of whether bubble labels are enabled or disabled.
🟢 Important Notes
1. This indicator requires volume data to function. Make sure you are using a ticker from an exchange that provides volume data. Symbols that do not report volume (such as certain forex pairs on specific brokers or custom-built indices) will trigger a warning message on the chart and produce no signals. If you see the "No Volume Data" warning, switch to a symbol or exchange that supports volume reporting.
2. Whether you are scalping on lower timeframes or swing trading on daily and weekly charts, Volume Bubbles is designed to complement your existing setup rather than replace it. Use it as a confirmation layer alongside your preferred strategy to identify when statistically significant volume activity aligns with your trade thesis, adding a data-driven edge to entries, exits, and key level analysis across any timeframe and market. Indicator
Indicator
Indicator
Scalp Signal Bot - 5 min v3.0.1A precision-built intraday trading system designed for fast-moving markets like crypto and metals, optimized for 5-minute charts. This strategy focuses on capturing high-probability liquidity-driven moves while minimizing exposure to noise and false breakouts.
Core Concept
Scalp Signal Bot combines market structure, liquidity sweeps, and confirmation logic to identify actionable trade setups. It is engineered to enter after key levels are reclaimed and structure is confirmed, helping avoid common traps during volatile conditions.
Key Features
Market Structure Engine
Detects swing highs/lows and triggers entries on confirmed structure breaks.
Liquidity Sweep Detection
Identifies stop-hunt behavior and uses it as context for higher-probability reversals or continuations.
Reclaim Confirmation Logic
Ensures price reclaims key levels before entering, filtering out weak or premature signals.
Anti-Fakeout Entry Delay
Optional candle delay reduces entries during impulsive spikes and false breakouts.
Volume Filtering (Optional)
Uses relative volume conditions to validate participation and reduce low-liquidity signals.
Trend & Chop Modes
Flexible regime detection allows the bot to adapt between trending and ranging environments.
Configurable Risk Model
Supports R-based take profit and dynamic stop logic aligned with structure and volatility.
Live Trade HUD
Displays real-time signal state, entry, TP/SL levels, and system context directly on chart.
Designed For
5-minute scalping strategies
High-volatility assets (e.g., BTC, ETH, XAU, XAG)
Traders seeking structured, rule-based entries without emotional bias
Strengths
Avoids chasing moves with confirmation-based entries
Filters noise in choppy markets
Adapts to multiple market conditions with configurable logic
Important Notes
Performance varies by market regime (trend vs range)
Works best when tuned to the current volatility environment
Not intended for passive buy-and-hold strategies
Best Use
Run on 5-minute charts with proper parameter tuning. Ideal for traders who want consistent, rule-driven setups and are comfortable optimizing settings for current market conditions.
Disclaimer
This script is for educational and informational purposes only and does not constitute financial advice. The creator is not a registered financial advisor.
Trading financial markets involves significant risk. Past performance is not indicative of future results. This strategy does not guarantee profits and may result in losses, including the loss of principal.
Users are solely responsible for their own trading decisions. Always conduct your own research and risk management before using this script in live markets.
This script is a tool designed to assist in decision-making and should not be used as a standalone system without proper understanding and testing.
No representation is being made that any account will or is likely to achieve profits or losses similar to those shown.
If you want stricter (sometimes helps approval faster), use this slightly heavier version:
Risk Disclosure
This script is provided “as is” without any guarantees or warranties. The developer assumes no responsibility for any trading losses incurred.
All trading involves risk, and you should only trade with capital you can afford to lose. Hypothetical or backtested results have inherent limitations and do not reflect actual trading performance.
By using this script, you acknowledge that you are fully responsible for your trading decisions and outcomes. Strategy
Gravity Reactor [by Oberlunar]Gravity Reactor is a structural trading engine built around one central idea: price does not move only in trend or only in reversion, but continuously oscillates around a dynamic gravity center. This center is computed from the fast/mid/slow moving-average stack, and the script measures the gravity gap as the ATR-normalized distance between price and that centroid. From there, the model evaluates whether the market is in compression, directed expansion, or overstretched displacement.
The rationale is to distinguish between two very different situations that are often confused by conventional indicators. A move away from gravity can be the start of a real expansion, or it can be an exhaustion event ready to mean-revert. For that reason, Gravity Reactor does not rely on simple MA crosses or isolated momentum spikes. It combines gravity distance, stack alignment, distance velocity, volume pressure, and multi-timeframe agreement into a single structural score. This score is then interpreted through two operative regimes: Thrust, when compression releases into a confirmed directional move, and Snapback, when price reaches an extreme displacement and shows signs of absorption or rebalancing.
Visually, the script puts gravity in the foreground through lane heatmaps that display local gravity and higher-timeframe gravity states side by side, so the trader can immediately see whether the chart is aligned, fragmented, or overstretched across scales. The goal is to detect where the price stands relative to its internal market geometry and whether that displacement is being reinforced or rejected.
Oberlunar ◉✦ Indicator
Pro Levels & Zones [MTE]Pro Levels & Zones
An intraday futures overlay that combines pivot-based supply and demand zones with multi-session key levels and a confluence-based signal filter. The core idea is that zones alone generate too many potential entries — by requiring alignment across multiple independent factors before labeling a zone touch, the indicator filters out low-conviction setups and highlights where several references converge.
HOW IT WORKS
Supply & Demand Zone Detection
Zones are built from 60-minute pivot highs and pivot lows using a 3-bar left / 3-bar right pivot structure. When a pivot high is confirmed, the area between the candle's high and the top of its body becomes a supply zone (red). When a pivot low is confirmed, the area between the candle's low and the bottom of its body becomes a demand zone (green). Zones extend forward in real time and are automatically removed when price closes beyond the zone boundary or when the zone exceeds a configurable age limit (default: 500 bars). Only the 3 most recent zones per side are kept to avoid chart clutter.
Confluence Scoring (signal filter)
When price enters a fresh (unused) zone, the indicator checks up to 5 independent factors before printing a signal:
1. Volume delta direction — estimated from the bar's close position within its range. A buy signal requires positive delta; a sell signal requires negative delta.
2. VWAP proximity — whether price is near the session VWAP (within 0.15% of current price).
3. Key level proximity — whether price is near a relevant prior-session level (PDH, PDL, PMH, PML).
4. POC proximity — whether price is near the intraday volume Point of Control.
5. VWAP trend bias — whether price is on the "right side" of VWAP for the signal direction (buy below VWAP, sell above).
Each matching factor adds 1 to the score. The signal label displays the count (e.g., "Buy 4/5") so traders can see at a glance how many factors aligned. A configurable cooldown (default: 12 bars) prevents repeated signals in the same area. An additional filter requires bearish candle close for sells and bullish candle close for buys.
Note: The confluence score is simply a count of how many factors happen to align at the moment of zone contact. A higher count does not predict or guarantee a successful trade. It is a filtering tool, not a performance metric.
SESSION LEVELS & KEY LEVELS
The indicator tracks and displays levels from multiple sessions:
- London session high/low — plotted as live-updating steplines during the session, then held after session close.
- Asia session high/low — same behavior, off by default.
- Key levels drawn as dashed horizontal lines: Previous Day High/Low/Close (PDH/PDL/PDC), Pre-Market High/Low (PMH/PML), Previous Week High/Low (PWH/PWL), Overnight High/Low (ONH/ONL), and the RTH Opening Print. All are off by default and individually toggleable.
Previous day and week values use request.security() with a offset and lookahead_on, which is the standard method to reference the prior completed period without future data leakage.
ADDITIONAL TOOLS (all off by default)
- VWAP — standard session-anchored VWAP using ohlc4 as source.
- POC — intraday volume Point of Control calculated by distributing each bar's volume into a 100-bin histogram across the RTH price range, then finding the bin with the highest accumulated volume. Resets daily.
- Fair Value Gaps — bullish and bearish imbalances detected when a gap exists between bar 's low and bar 's high (or vice versa), filtered by a minimum percentage size (default: 0.15%). FVGs auto-expire after 40 bars. Maximum 6 active FVGs.
- Opening Range — plots the RTH opening range as a box (15 or 30 minute, configurable). Extends through the session.
WHY THIS COMBINATION
Most zone-based approaches generate signals every time price touches a zone, regardless of context. This indicator addresses that by requiring zone contact AND directional volume AND candle confirmation before printing anything, then layering additional context (VWAP, key levels, POC) as a visible confluence count. The result is fewer signals that occur only at zones where multiple independent references happen to converge.
The session levels (London, Asia, pre-market, overnight) are included because futures often react at session boundaries, and having them as toggleable overlays avoids needing separate indicators cluttering the chart.
HOW TO USE
1. Apply to a 1-15 minute intraday futures chart (defaults tuned for NQ on 5 min).
2. Adjust "Min Zone Size" for your instrument (NQ: 20-50 pts, ES: 5-15 pts).
3. Watch for Buy/Sell labels at zone touches. Higher confluence counts (4/5, 5/5) mean more factors aligned — use your own judgment on whether the context supports a trade.
4. Toggle key levels on/off depending on which session references matter to your trading approach.
5. All features are independently toggleable. Start with zones + signals, then add levels as needed.
DEFAULT SETTINGS
- Zones: ON, min size 20 pts, max age 500 bars
- Signals: ON, cooldown 12 bars, volume delta confirmation ON
- London session levels: ON
- All other levels and tools: OFF
LIMITATIONS
- Volume delta is estimated from bar close position within range — it is not true order flow data.
- POC uses a 100-bin histogram which is an approximation, not tick-level volume profile.
- Confluence scoring counts factor alignment but does not predict outcomes. Past confluence patterns do not guarantee future results.
- Zone detection has a 3-bar lag due to pivot confirmation.
- Designed for futures instruments. Adjust zone size settings for other markets.
Indicator
Intuitive Trade Regime [TraderZen]The 3D Geometry of Momentum.
Try this on your favorite chart! Every trader thinks in images. We say the market "took a turn," that price is "going sideways" .. that a breakout "jumped over resistance." We describe a selloff as a "cliff drop" and a rally as a "rapid rise." We watch price "bounce off support" or "breach the borders" of a range. These are not casual metaphors — they are how the mind actually processes price action.
This indicator is built for that visual mind. It translates the structure of price movement into shapes that feel familiar — not because they have been studied, but because they have been seen. The goal is not to add more data to the chart. It is to make what is already there easier to perceive.
The Staircase
Price does not move in lines. It moves in segments — rises and flats, drops and pauses. In structure, this is no different from a staircase. Each trend segment is a step, and the shape of that step tells a story.
The tread — the horizontal span — shows how long a regime held. A wide tread means price spent time consolidating before the next move. A narrow one means momentum carried through without pause.
The riser — the vertical face between steps — shows the magnitude of the shift. A tall riser marks a decisive regime change. A short one marks a continuation, a nudge in the same direction.
The landing — a wider, flatter segment — appears when the market pauses to establish a range before committing. It is the moment between moves where direction has not yet been decided.
And the nosing — the overshoot at each edge — reveals how aggressively price tested the boundary before accepting it.
When these elements are narrow and steep, the staircase is rickety — momentum is high but potentially unstable. When they are wide and gradual, the staircase is solid — a measured, deliberate trend. When they alternate in size, the staircase is winding — a market searching for direction.
This is not a metaphor layered onto the chart. It is what the channel segments actually form. The indicator simply makes the staircase visible.
Perspective as Information
One of the more unusual features of this indicator is its use of 3D depth — not for decoration, but for orientation.
In a downward move, the depth faces project upward and behind, as if you are standing above and looking down at the price descending below you. The top surface of each segment is visible. You see where price came from.
In an upward move, the depth reverses. The faces project downward and forward, as if you are looking up at a structure rising above you. The underside of each segment is exposed. You see the climb from below.
This is not arbitrary. It mirrors how we naturally perceive direction. Looking down implies a fall. Looking up implies a rise. The perspective reinforces the regime — making it something you feel, not just something you read from a label.
The direction of depth is fully configurable, with independent control for bull and bear segments. But the defaults are set to match this natural orientation: upward moves seen from below, downward moves seen from above.
Compression and Expansion
The width of the channel adapts to volatility. When the channel tightens, price is compressing — energy is building. When it widens, expansion is underway — the move is in progress.
In tight bear segments, the depth face breaks into a cascading waterfall pattern — stepped terraces that descend like water over ledges. This is not cosmetic. Narrow bear channels often represent rapid, liquidation-driven moves, and the waterfall texture makes that character immediately visible.
In tight bull segments, the depth face becomes jagged — an ascending cliff with rough, uneven edges. Narrow bull channels often reflect sharp, momentum-driven rallies, and the rocky texture communicates that energy at a glance.
These effects activate automatically when the channel compresses below a configurable threshold relative to ATR. When the channel is wide, the faces remain smooth and clean.
What the Channel Tells You
The mid line is the structural anchor. In Lead mode, it sits on the opposite side of price — acting as support in uptrends and resistance in downtrends, decaying slowly away from price like a trailing reference. In Follow mode, it tracks toward price, blending with the local basis.
The bands define the expected range. Price staying within the bands confirms the current regime. A confirmed break beyond the band triggers a regime change — marked by a triangle on the chart.
Retests occur when price touches the far band without conviction. These are marked with smaller arrows and often represent pullback entries within the trend.
Continuation steps fire when price pushes further in the current direction, extending the trend. Refresh events occur when a segment has aged out or drifted too far from the local basis — the channel quietly re-anchors without changing direction.
Each of these events reshapes the staircase. A regime flip starts a new step. A continuation extends the current one. A refresh adjusts the footing without changing the path.
Themes
The indicator ships with preset visual themes that configure the gradient, transparency, and 3D settings as a group:
Classic — Clean channel with gradient fills. No 3D effects. The original look for those who prefer simplicity.
Price Slabs — Solid 3D segments with depth and perspective. The staircase made tangible. Waterfall and cliff effects enabled.
Neon Glass — Translucent 3D segments with a lighter touch. The structure is visible but does not dominate the chart.
Custom — Full control over every parameter. Build your own visual language.
All themes respect your chosen colors. Switching themes changes the structure and feel — not the palette.
A Note on Design Philosophy
Most indicators ask the trader to interpret numbers. This one asks the trader to observe shapes. The thesis is simple: if the visual representation is honest — if the shapes genuinely correspond to the character of the move — then pattern recognition does what it has always done. The trader sees what is happening, and the chart stops being a puzzle to decode.
The 3D effects, the staircase structure, the perspective shifts — these are not aesthetic choices. They are attempts to give price action a physical presence on the chart, so that reading a trend feels less like analyzing data and more like watching something move.
That is what intuitive means here. Not simplified. Not dumbed down. Just shaped for the way the eye already works.
Disclaimer
This indicator is a visual analysis tool designed to aid in the interpretation of price action. It does not generate buy or sell signals, and nothing presented here constitutes financial advice, a trading recommendation, or a solicitation to trade any financial instrument. Past visual patterns do not guarantee future price behavior. All trading involves risk, including the potential loss of principal. Users are solely responsible for their own trading decisions and should consult a qualified financial advisor before acting on any information derived from this or any other technical tool. The author assumes no liability for any losses incurred through the use of this indicator.
Built by TraderZen
Indicator
Trade Levels - Entry, Trims & StopA clean, fully configurable trade planning overlay for scalpers, day traders, and swing traders on any instrument — Futures, Forex, Crypto, Equities, and Indices. Set your entry price, define your risk parameters, and instantly visualize every critical level on the chart before and during a trade.
🔑 Key Features
Entry Line — White reference line at your exact entry price, labeled with direction (Long/Short)
Stop Loss — Plots your maximum loss level at a defined distance from entry
Take Profit — Plots your full target with a live R:R ratio calculated automatically
3 Independent Trim Levels — Each trim can be placed on the Profit Side OR Loss Side of your entry, allowing you to plan early exits in either direction (e.g., trimming before max loss)
Zone Fills — Translucent color fills between Entry → Stop and Entry → Target for instant visual clarity
Info Table — A real-time summary table (top-right corner) showing all prices and distances at a glance
Full Alert Integration — alertcondition() support for all 5 levels: Stop, Take Profit, Trim 1, Trim 2, and Trim 3
⚙️ Settings Overview
Group What You Set
📍 Entry Settings Entry price, Long/Short direction, Points or Ticks mode
🔴 Stop Loss Points/Tick Distance from entry, line color
🟢 Take Profit Points/Tick Distance from entry, line color
✂️ Trim 1 / 2 / 3 Enable toggle, Profit or Loss side, Points/Tick distance, trim size %, color
🔔 Alerts Toggle alerts on/off per level
⚙️ Display Labels, R:R visibility, zone fills, table, line style, label size
📐 Points vs. Ticks
Switch the Unit Mode under Entry Settings between:
Points — Native price units (e.g., 10 = 10 full points on NQ)
Ticks — Minimum tick increments (e.g., on NQ: 1 point = 4 ticks, so 40 ticks = 10 points)
The indicator uses syminfo.mintick to auto-convert, so it works accurately on any symbol.
✂️ Loss-Side Trims Explained
Most indicators only allow trims in the profit direction. This tool lets you place a trim on the Loss Side of your entry — meaning you scale out of part of your position before reaching your full stop. This is a common risk management technique used by professional futures and forex traders to reduce average loss on losing trades.
To use it: enable a Trim, set Side → Loss Side, and dial in the distance. The label will display as "LOSS TRIM" to visually distinguish it from profit-side trims.
🔔 Setting Up Alerts
Click the Alerts bell icon on the PulseWire toolbar
Click "+" → Create Alert
Under Condition, select "Trade Levels — Entry, Trims & Stop"
Choose a level: Stop Loss Hit, Take Profit Hit, Trim 1, Trim 2, or Trim 3
Set your notification method (popup, sound, mobile push, or webhook)
Click Create
📌 Tips for Scalpers
Set your entry price before you take the trade so the levels are pre-drawn when your order fills
Use Loss-Side Trim 1 to take off 25–33% of your position if price moves against you early — this lowers your average loss significantly over time
The live R:R ratio on the TP label updates instantly as you adjust your distances — use it to ensure you never take a sub-1:1 trade
Works on all timeframes and all instruments — ES, NQ, MNQ, EUR/USD, BTC, SPY, anything Indicator
Indicator
Adaptive SuperTrend Oscillator [QuantAlgo]🟢 Overview
The Adaptive SuperTrend Oscillator transforms the classic SuperTrend indicator into a normalized momentum score that adapts to changing market conditions. Instead of displaying a simple above/below signal on the price chart, it measures how far price has moved from the SuperTrend line and scales that distance against an Efficiency Ratio-driven ATR that automatically adjusts between trending and ranging environments. The result is a centered oscillator with dynamically calculated overbought and oversold thresholds, helping traders read the strength behind a trend rather than just its direction, across different markets and timeframes.
🟢 How It Works
The foundation of the indicator is the distance between the closing price and the SuperTrend line:
= ta.supertrend(active_multiplier, active_atr_length)
price_distance = close - supertrend_line
A positive distance means price is above the SuperTrend line, indicating a bullish condition. A negative distance indicates price is below it, reflecting a bearish condition. The raw distance alone is not directly comparable across instruments or timeframes, so the indicator normalizes it using an adaptive ATR.
The normalization layer is driven by an Efficiency Ratio, which measures how directionally efficient recent price movement has been. It compares the net price change over the lookback window against the total path length traveled:
price_change = math.abs(close - close )
path_length = math.sum(math.abs(close - close ), active_er_length)
efficiency_ratio = path_length != 0 ? price_change / path_length : 0.0
A high Efficiency Ratio means price is moving in a consistent direction with little back-and-forth. A low ratio indicates choppy, non-directional movement. This reading is then used to blend between a fast and slow ATR period:
adaptive_atr = efficiency_ratio * ta.atr(active_norm_fast) + (1.0 - efficiency_ratio) * ta.atr(active_norm_slow)
score = adaptive_atr != 0 ? price_distance / adaptive_atr * 100 : 0.0
During trending conditions the fast ATR period is weighted more heavily, allowing the score to move more freely. During choppy conditions the slow ATR period dominates, dampening the score and reducing low-conviction readings. The final score is expressed as a percentage of the adaptive ATR, making it directly comparable across different instruments and volatility environments.
Overbought and oversold levels are derived dynamically from the rolling standard deviation of the score itself rather than fixed values:
score_deviation = ta.stdev(score, 100)
ob_extreme = score_deviation * 3
ob_level = score_deviation * 2
os_level = -score_deviation * 2
os_extreme = -score_deviation * 3
This means the threshold levels expand during volatile periods and contract during quiet ones, keeping the overbought and oversold zones statistically consistent relative to recent score behavior.
🟢 Signal Interpretation
▶ Bullish Trend (Score Above Zero, Outside Neutral Zone, Green): When the score is positive and exceeds the neutral threshold, the oscillator confirms that price is above the SuperTrend line and momentum is directionally efficient enough to register. The score's gradient intensity reflects how far momentum has extended relative to the adaptive ATR baseline. The trend remains bullish until the score crosses back below zero or into the neutral zone.
▶ Bearish Trend (Score Below Zero, Outside Neutral Zone, Red): When the score is negative and falls below the neutral threshold, the oscillator confirms that price is below the SuperTrend line. A deeper negative score indicates stronger downside momentum relative to the normalization baseline. The trend remains bearish until the score crosses back above zero or into the neutral zone.
▶ Neutral Zone (Score Within Threshold, Grey): When the absolute score value is within the neutral threshold, the oscillator treats the reading as non-directional regardless of which side of zero it sits on. This filters out low-conviction conditions where the SuperTrend distance is small relative to the adaptive ATR, preventing the indicator from registering trend signals during consolidation or choppy price action.
▶ Overbought and Oversold Levels (2σ and 3σ Bands): When the score reaches the 2σ or 3σ bands, it indicates that momentum has extended significantly relative to its own recent history. These are not reversal signals by themselves, but they mark zones where the trend is stretched and worth monitoring for potential exhaustion.
🟢 Features
▶ Preconfigured Presets: Three parameter sets cover different trading approaches. "Default" uses moderate SuperTrend sensitivity for swing trading on 4-hour and daily charts. "Fast Response" tightens the SuperTrend bands and shortens normalization windows for intraday use on 5-minute to 1-hour charts. "Smooth Trend" widens the SuperTrend bands and extends normalization windows for position trading on daily and weekly timeframes.
▶ Built-in Alerts: Seven alert conditions cover the full range of oscillator states. Trend transition alerts fire when the score crosses into bullish, bearish, or neutral territory. Separate alerts trigger when the score reaches the 2σ overbought or oversold levels and again when it reaches the more extreme 3σ levels, enabling graduated monitoring without requiring constant chart observation.
▶ Visual Customization: Six color presets (Classic, Aqua, Cosmic, Cyber, Neon, plus Custom) coordinate colors across the score line, ribbon fills, overbought/oversold bands, and optional bar coloring. The ribbon uses three fill layers between the score line and zero, each at increasing transparency, creating a gradient that visually represents the weight of momentum behind the current reading. Optional bar coloring applies trend state colors directly to price bars for quick multi-timeframe reference.
Indicator
Range Filter - Enhanced AccuracyThis indicator is a comprehensive trend-following and momentum tool designed to identify market breakouts while filtering out noise. Below is a guide on how to interpret and trade with the Range Filter - Enhanced Accuracy.
1. The Core Components
The Filter Line (The Midline): This is the heart of the indicator.
Green: Indicates a bullish (upward) trend.
Red: Indicates a bearish (downward) trend.
Range Bands (High/Low): These act as dynamic support and resistance. Price breaking out of these bands typically indicates a shift in momentum.
Trend EMA (Default 200): Displayed as a blue line. It represents the "Primary Trend."
Buy/Sell Labels: These appear when a high-probability breakout occurs that meets all accuracy filters.
2. How to Read the Signals
The signals in this version are filtered for quality. A signal only appears if:
Price breaks the Filter Line in a new direction.
Trend Alignment: Price is above the 200 EMA for a Buy signal, or below it for a Sell signal.
Volatility Confirmation: The market has enough "movement" (ATR) to sustain a trend.
Buy Signal (BUY Label)
Entry: Enter when the green "BUY" label appears below the bar.
Market Context: The Filter line turns green, and price is comfortably above the blue 200 EMA.
Sell Signal (SELL Label)
Entry: Enter when the red "SELL" label appears above the bar.
Market Context: The Filter line turns red, and price is comfortably below the blue 200 EMA.
3. Suggested Trading Strategy
Stop Loss:
For Longs, place your stop loss just below the Low Band (red band) or the Filter Line.
For Shorts, place your stop loss just above the High Band (green band) or the Filter Line.
Take Profit:
A common strategy is to exit when the Filter Line changes color (e.g., exit a Long trade when the line turns from green to red).
Alternatively, use a fixed Risk/Reward ratio (like 1:2).
4. Adjusting the Settings (Optimization)
You can tailor the indicator to different assets (Crypto, Forex, Stocks) and timeframes:
Swing Period & Multiplier:
For Scalping (1m-5m): Use a lower period (e.g., 10-15) and a lower multiplier (e.g., 2.5-3.0) for more frequent signals.
For Swing Trading (1H-Daily): Use higher values (e.g., Period 20+, Multiplier 3.5+) to catch major trends.
Use Trend Filter: If you are in a sideways/ranging market, turn this OFF to catch short-term rotations. If you are in a trending market, keep it ON to avoid "trap" signals.
Use Volatility Filter: Keep this ON to avoid trading during low-volume sessions (like the Asian session for Forex) where price often moves without direction.
5. Pro Tips
The "EMA River": Treat the area between the price and the 200 EMA as a neutral zone. The best signals often happen right after the price pulls back toward the EMA and then bounces away.
Confluence: This indicator works best when combined with standard Support/Resistance levels or Volume indicators to confirm that the "BUY/SELL" signal is happening at a key structural level. Indicator
Bot Webhook v8.4 [SOL]Bot Webhook v8.4 - Optimized Multi-Timeframe Signal Generator
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ENGLISH
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Data-driven signal generation for SOL/USD with timeframe-specific filters (30S-20m), Keltner Squeeze Detection and Volatility Regime Recognition. Optimized from 136 signals + 9406 1m candles.
OVERVIEW
This script is the SOL/USD-specific version of Bot Webhook v8.4. It generates Long and Short signals with a confidence score and sends them as JSON alerts to a webhook endpoint. The symbol "SOLUSD" is hardcoded in the alert - ideal for use with an automated trading bot.
Base: v7.3 TF-specific filters (proven) + v8.0 Keltner/Regime (Squeeze SHORT only)
SIGNAL LOGIC
LONG Signals (v7.3 Base):
- RSI < TF-specific threshold (Oversold)
- Stochastic K < TF-specific threshold
- RSI Slope > TF-specific threshold (Momentum reversal)
- ADX < TF-specific threshold (no excessive counter-trend)
- Proven performance: 68.2% $20-rate, R/R 1.48x
SHORT Signals (v7.3 Base + Keltner Squeeze):
- RSI > TF-specific threshold (Overbought)
- Stochastic K > TF-specific threshold
- RSI Slope < TF-specific threshold (Momentum reversal)
- Squeeze SHORT: Bollinger inside Keltner + bearish momentum
- Proven performance: 53.8% $20-rate, R/R 1.39x (Squeeze)
INDICATORS
- EMA 20/50/200 (Trend detection + filter)
- RSI 14 + RSI Slope (Momentum + direction change)
- Stochastic RSI (Overbought/Oversold conditions)
- MACD 12/26/9 (Momentum confirmation)
- Bollinger Bands 20/2.0 (Volatility + Squeeze Detection)
- Keltner Channel 20/1.5 (Squeeze Detection)
- ADX 14 (Trend strength)
- ATR 14 (Stop Loss / Take Profit calculation)
- Volume SMA 20 (Volume confirmation)
REGIME DETECTION
Trend Regime (EMA-based):
- STRONG_TREND_UP / STRONG_TREND_DOWN
- WEAK_TREND_UP (BLOCKED - 0% success rate!)
- WEAK_TREND_DOWN / NEUTRAL
Volatility Regime (ADX + ATR Percentile):
- TRENDING_HIGH_VOL / TRENDING_LOW_VOL
- SQUEEZE_BUILDING / BREAKOUT_IMMINENT
- RANGING_HIGH_VOL / RANGING_LOW_VOL
- TRANSITIONAL
CONFIDENCE CALCULATION
Base confidence from verified win rates per timeframe (0.72-0.92)
Modifiers:
+ Extreme RSI/StochK values (+0.03 to +0.05)
+ Trending High Vol Regime (+0.04)
- Ranging High Vol Regime (-0.08)
- Squeeze Building (-0.03)
- Counter-trend (-0.10)
- Low Volume (-0.05)
Min. confidence for alert: 70% (adjustable)
STOP LOSS / TAKE PROFIT
Base trades: ATR x 1.5 (SL) / ATR x 2.5 (TP) = R/R 1:1.67
Squeeze trades: ATR x 1.2 (SL) / ATR x 3.0 (TP) = R/R 1:2.5
TIMEFRAMES
Supported: 30S, 45S, 1m-20m (each with individually optimized thresholds)
Best TFs: 30S (47.1%), 45S (34.8%), 12m+ (33%+)
4m: LONG + SHORT disabled (no data)
WEBHOOK ALERT FORMAT (JSON)
{"signal":"long/short", "symbol":"SOLUSD", "timeframe":"...", "price":..., "source":"Bot_Webhook_v84", "confidence":..., "metadata":{"entry":..., "stop_loss":..., "take_profit":..., "atr":..., "adx":..., "rsi":..., "rsi_slope":..., "stoch_k":..., "signal_type":"...", "strategy":"...", "regime":"...", "vol_regime":"...", "expected_wr":"..."}}
SETUP
1. Apply script to SOLUSDT/SOLUSD chart
2. Select desired timeframe (30S-20m)
3. Create alert and enter webhook URL
4. Create a separate alert for each timeframe
Other versions available: ETH, BTC
AUTOMATED TRADING BOT
Want to automate these signals? A fully automated trading bot is available that processes the webhook alerts from this script and executes trades automatically - including risk management, position sizing, regime filtering and smart signal validation.
- Full bot with live trading or paper trading mode
- Processes all signals from this indicator automatically
- Built-in risk management with ATR-based SL/TP
- Multi-timeframe support (30S-20m)
More info: futuresbot.de
Or send me a direct message here on PulseWire!
DISCLAIMER: This strategy is for educational purposes only. Past performance does not guarantee future results. Always use proper risk management.
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DEUTSCH
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Datengetriebene Signalgenerierung fuer SOL/USD mit TF-spezifischen Filtern (30S-20m), Keltner-Squeeze-Detection und Volatility-Regime-Erkennung. Optimiert aus 136 Signalen + 9406 1m-Candles.
UEBERBLICK
Dieses Script ist die SOL/USD-spezifische Version des Bot Webhook v8.4. Es generiert Long- und Short-Signale mit Confidence-Score und sendet diese als JSON-Alert an einen Webhook-Endpunkt. Das Symbol "SOLUSD" ist fest im Alert eingebettet - ideal fuer den Einsatz mit einem automatisierten Trading-Bot.
Basis: v7.3 TF-spezifische Filter (bewaehrt) + v8.0 Keltner/Regime (nur Squeeze SHORT)
TIMEFRAMES
Unterstuetzt: 30S, 45S, 1m-20m (alle mit eigenen optimierten Schwellenwerten)
Beste TFs: 30S (47.1%), 45S (34.8%), 12m+ (33%+)
4m: LONG + SHORT deaktiviert (keine Daten)
SETUP
1. Script auf SOLUSDT/SOLUSD Chart anwenden
2. Gewuenschten Timeframe waehlen (30S-20m)
3. Alert erstellen und Webhook-URL eintragen
4. Fuer jeden Timeframe einen separaten Alert erstellen
Weitere Versionen verfuegbar: ETH, BTC
AUTOMATISIERTER TRADING-BOT
Du moechtest diese Signale automatisieren? Es gibt einen vollautomatischen Trading-Bot, der die Webhook-Alerts dieses Scripts verarbeitet und Trades automatisch ausfuehrt - inklusive Risikomanagement, Positionsgroesse, Regime-Filterung und smarter Signal-Validierung.
- Kompletter Bot mit Live-Trading oder Paper-Trading-Modus
- Verarbeitet alle Signale dieses Indikators automatisch
- Integriertes Risikomanagement mit ATR-basiertem SL/TP
- Multi-Timeframe-Unterstuetzung (30S-20m)
Mehr Infos: futuresbot.de
Oder schreib mir eine persoenliche Nachricht hier auf PulseWire!
HAFTUNGSAUSSCHLUSS: Diese Strategie dient zu Bildungszwecken. Vergangene Performance garantiert keine zukuenftigen Ergebnisse. Nutze stets ein angemessenes Risikomanagement. Indicator
