ATR Volatility Dashboard v2 — includes % Range (Today) _gpVisualizes daily volatility in context. Shows ATR(14) as % of Daily Close, % of Current Price, and Today’s actual Range%. When % of Current ≈ % of Close → volatility has already played out.
🔹 ATR(14) (Last D) — the latest daily ATR value.
🔹 % of Daily Close — ATR as a percentage of the previous day’s close (historical volatility).
🔹 % of Current — ATR as a percentage of the current price (real-time volatility).
🔹 % of Range (v2) — today’s actual movement (High–Low) as a percentage of current price.
💡 How to interpret:
When % of Current ≈ % of Close → the daily ATR has already been reached → potential exhaustion zone.
When % of Range > % of Close → today’s volatility exceeds the average → watch for reversals or breakouts.
When % of Range < % of Close → volatility remains compressed → possible expansion setup ahead.
Indicators and strategies
Daily ATR% Dashboard george_pirlog//@version=6
indicator("ATR(14) – Daily + % vs Daily Close & Current (Heat + Alerts)", overlay=true)
// ── Inputs
atrLen = input.int(14, "ATR Length")
tfATR = input.timeframe("D", "ATR Timeframe (for ATR & daily close)")
decATR = input.int(2, "Decimals (ATR)", minval=0, maxval=6)
decPct = input.int(2, "Decimals (%)", minval=0, maxval=6)
pos = input.string("Top Right", "Table Position", options= )
bgAlpha = input.int(75, "Table BG Transparency (0-100)", minval=0, maxval=100)
showLabel = input.bool(false, "Show floating label")
yOffsetATR = input.float(0.25, "Label Y offset (× ATR)", step=0.05)
// Praguri culoare / alerte
warnPct = input.float(2.0, "Warn Threshold % (yellow/orange)", step=0.1)
highPct = input.float(3.0, "High Threshold % (red)", step=0.1)
// ── Helpers
f_pos(p) =>
if p == "Top Left"
position.top_left
else if p == "Top Right"
position.top_right
else if p == "Bottom Left"
position.bottom_left
else
position.bottom_right
f_heatColor(pct) =>
if pct >= highPct
color.new(color.red, 0)
else if pct >= warnPct
color.new(color.orange, 0)
else
color.new(color.teal, 0)
// ── Serii daily
atrDaily = request.security(syminfo.tickerid, tfATR, ta.atr(atrLen))
closeD = request.security(syminfo.tickerid, tfATR, close)
// ── Ultima valoare & procente
atrLast = atrDaily
pctOfDailyClose = atrLast / closeD * 100
pctOfCurrent = atrLast / close * 100
// ── Tabel static (3×2)
var table box = table.new(f_pos(pos), 3, 2, border_width=1, frame_color=color.new(color.gray, 0), bgcolor=color.new(color.black, bgAlpha))
if barstate.islast
table.cell(box, 0, 0, "ATR14 (Last D)", text_color=color.white, text_size=size.small, bgcolor=color.new(color.black, bgAlpha))
table.cell(box, 1, 0, "% of Daily Close", text_color=color.white, text_size=size.small, bgcolor=color.new(color.black, bgAlpha))
table.cell(box, 2, 0, "% of Current", text_color=color.white, text_size=size.small, bgcolor=color.new(color.black, bgAlpha))
table.cell(box, 0, 1, str.tostring(atrLast, "0." + str.repeat("0", decATR)), text_color=color.white, bgcolor=color.new(color.black, bgAlpha))
table.cell(box, 1, 1, str.tostring(pctOfDailyClose, "0." + str.repeat("0", decPct)) + "%", text_color=f_heatColor(pctOfDailyClose), bgcolor=color.new(color.black, bgAlpha))
table.cell(box, 2, 1, str.tostring(pctOfCurrent, "0." + str.repeat("0", decPct)) + "%", text_color=f_heatColor(pctOfCurrent), bgcolor=color.new(color.black, bgAlpha))
// ── Etichetă opțională (apel pe o singură linie)
var label info = na
if showLabel and barstate.islast
label.delete(info)
txt = "ATR14 (Last D): " + str.tostring(atrLast, "0." + str.repeat("0", decATR)) +
" vs Daily Close: " + str.tostring(pctOfDailyClose, "0." + str.repeat("0", decPct)) + "%" +
" vs Current: " + str.tostring(pctOfCurrent, "0." + str.repeat("0", decPct)) + "%"
info := label.new(x=bar_index, y=close + atrLast * yOffsetATR, text=txt, xloc=xloc.bar_index, yloc=yloc.price, style=label.style_label_left, textcolor=color.white, color=color.new(color.black, 0), size=size.normal)
// ── Alerts (cross peste praguri)
dailyWarnUp = ta.crossover(pctOfDailyClose, warnPct)
dailyHighUp = ta.crossover(pctOfDailyClose, highPct)
currWarnUp = ta.crossover(pctOfCurrent, warnPct)
currHighUp = ta.crossover(pctOfCurrent, highPct)
alertcondition(dailyWarnUp, "Daily % crossed WARN", "ATR% vs Daily Close crossed above WARN threshold")
alertcondition(dailyHighUp, "Daily % crossed HIGH", "ATR% vs Daily Close crossed above HIGH threshold")
alertcondition(currWarnUp, "Current % crossed WARN", "ATR% vs Current Price crossed above WARN threshold")
alertcondition(currHighUp, "Current % crossed HIGH", "ATR% vs Current Price crossed above HIGH threshold")
Delta Volume Heatmap🔥 Delta Volume Heatmap
The Delta Volume Heatmap visualizes the real-time strength of per-bar delta volume — highlighting the imbalance between buying and selling pressure.
Each column’s color intensity reflects how strong the delta volume deviates from its moving average and standard deviation.
🟩 Green tones = Buy-dominant activity (bullish imbalance)
🟥 Red tones = Sell-dominant activity (bearish imbalance)
This tool helps traders quickly identify:
Abnormal volume spikes
Absorption or exhaustion zones
Potential reversal or continuation signals
MA Paketi This advanced MA & ATR Channel Indicator allows you to monitor both short-term and long-term trends on the same chart.
The script includes 9, 21, 50, 100, and 200-period moving averages (MAs) and also lets you add a custom MA of your choice.
Around the 200 MA, a ±6 ATR channel dynamically defines volatility-based support and resistance zones.
Key Features:
🔹 Five classic MAs (9, 21, 50, 100, 200)
🔹 User-defined custom MA (SMA, EMA, WMA, RMA, HMA options)
🔹 MA200-centered ±ATR channel (fully adjustable multiplier and period)
🔹 ATR-based dynamic volatility band
🔹 Alert conditions (notifies when price breaks above or below the channel)
🔹 Clean, colorful, and professional visual design
This indicator helps you analyze trend direction, momentum shifts, and volatility-driven reversal zones simultaneously.
Perfect for swing, scalp, and position traders alike.
BTC Cycle Halving Thirds NicoThe bold black vertical lines are the INDEX:BTCUSD halvings.
The background speak for itself.
Time to be bearish?
Triple Gaussian Smoothed Ribbon [BOSWaves]Triple Gaussian Smoothed Ribbon – Adaptive Gaussian Framework
Overview
The Triple Gaussian Smoothed Ribbon is a next-generation market visualization framework built on the principles of Gaussian filtering - a mathematical model from digital signal processing designed to remove noise while preserving the integrity of the underlying trend.
Unlike conventional moving averages that suffer from phase lag and overreaction to volatility spikes, Gaussian smoothing produces a symmetrical, low-lag curve that isolates meaningful directional shifts with exceptional clarity.
Developed under the Adaptive Gaussian Framework, this indicator extends the classical Gaussian model into a multi-stage smoothing and visualization system. By layering three progressive Gaussian filters and rendering their interactions as a gradient-based ribbon field, it translates market energy into a coherent, visually structured trend environment. Each ribbon layer represents a progressively smoothed component of price motion, producing a high-fidelity gradient field that evolves in sync with real-time trend strength and momentum.
The result is a uniquely fluid trend and reversal detection system - one that feels organic, adapts seamlessly across timeframes, and reveals hidden transitions in market structure long before traditional indicators confirm them.
Theoretical Foundation
The Gaussian filter, derived from the Gaussian function developed by Carl Friedrich Gauss in 1809, operates on the principle of weighted symmetry, assigning higher importance to central price data while tapering influence toward historical extremes following a bell-curve distribution. This symmetrical design minimizes phase distortion and smooths without introducing lag spikes — a stark contrast to exponential or linear filters that sacrifice temporal accuracy for responsiveness.
By cascading three Gaussian stages in sequence, the indicator creates a multi-frequency decomposition of price action:
The first stage captures immediate trend transitions.
The second absorbs mid-term volatility ripples.
The third stabilizes structural directionality.
The final composite ribbon reflects the market’s dominant frequency - a smoothed yet reactive trend spine - while an independent, heavier Gaussian smoothing serves as a reference layer to gauge whether the primary motion leads or lags relative to broader market structure.
This multi-layered Gaussian framework effectively replicates the behavior of a signal-processing filter bank: isolating meaningful cyclical movements, suppressing random noise, and revealing phase shifts with minimal delay.
How It Works
Triple Gaussian Core
Price data is passed through three successive Gaussian smoothing stages, each refining the trend further and removing higher-frequency distortions.
The result is a fluid, continuously adaptive baseline that responds naturally to directional changes without overshooting or flattening key inflection points.
Adaptive Ribbon Architecture
The indicator visualizes its internal dynamics through a five-layer gradient ribbon. Each layer represents a progressively delayed Gaussian curve, creating a color field that dynamically shifts between bullish and bearish tones.
Expanding ribbons indicate accelerating momentum and trend conviction.
Compressing ribbons reflect consolidation and volatility contraction.
The smooth color gradient provides a real-time depiction of energy buildup or dissipation within the trend, making it visually clear when the market is entering a state of expansion, transition, or exhaustion.
Momentum-Weighted Opacity
Ribbon transparency adjusts according to normalized momentum strength.
As trend force builds, colors intensify and layers become more opaque, signifying conviction.
When momentum wanes, ribbons fade - an early visual cue for potential reversals or pauses in trend continuation.
Candle Gradient Integration
Optional candle coloring ties the chart’s candles to the prevailing Gaussian gradient, allowing traders to view raw price action and smoothed wave dynamics as a unified system.
This integration produces a visually coherent chart environment that communicates directional intent instantly.
Signal Detection Logic
Directional cues emerge when the smoother, broader Gaussian curve crosses the faster-reacting Gaussian line, marking structural inflection points in the filtered trend.
Bullish shifts : short-term momentum transitions upward through the long-term baseline after a localized trough.
Bearish shifts : momentum declines through the baseline following a local peak.
To maintain integrity in choppy markets, the framework applies a trend-strength and separation filter, which blocks weak or overlapping conditions where movement lacks conviction.
Interpretation
The Triple Gaussian Smoothed Ribbon provides a layered, intuitive read on market structure:
Trend Continuation : Expanding ribbons with deep color intensity confirm directional strength.
Reversal Phases : Color gradients flip direction, indicating a phase shift or exhaustion point.
Compression Zones : Tight, pale ribbons reveal equilibrium phases often preceding breakouts.
Momentum Divergence : Fading color intensity despite continued price movement signals weakening conviction.
These transitions mirror the natural ebb and flow of market energy - captured through the Gaussian filter’s ability to represent smooth curvature without distortion.
Strategy Integration
Trend Following
Engage during strong directional expansions. When ribbons widen and color gradients intensify, the trend is accelerating with high confidence.
Reversal Identification
Monitor for full gradient inversion and fading momentum opacity. These conditions often precede transitional phases and early reversals.
Breakout Anticipation
Flat, compressed ribbons signal low volatility and energy buildup. A sudden gradient expansion with renewed opacity confirms breakout initiation.
Multi-Timeframe Alignment
Use higher timeframes to establish directional bias and lower timeframes for entry during compression-to-expansion transitions.
Technical Implementation Details
Triple Gaussian Stack : Sequential smoothing stages produce low-lag, high-purity signals.
Adaptive Ribbon Rendering : Five-layer Gaussian visualization for gradient-based trend depth.
Momentum Normalization : Opacity dynamically tied to trend strength and volatility context.
Consolidation Filter : Suppresses false signals in low-energy or range-bound conditions.
Integrated Candle Mode : Optional color synchronization with underlying gradient flow.
Alert System : Built-in notifications for bullish and bearish transitions.
This structure blends the precision of digital signal processing with the readability of visual market analysis, creating a clean but information-rich framework.
Optimal Application Parameters
Asset Recommendations
Cryptocurrency : Higher smoothing and sigma for stability under volatility.
Forex : Balanced parameters for cycle identification and reduced noise.
Equities : Moderate Gaussian length for responsive yet stable trend reads.
Indices & Futures : Longer smoothing periods for structural confirmation.
Timeframe Recommendations
Scalping (1 - 5m) : Use shorter smoothing for fast reactivity.
Intraday (15m - 1h) : Mid-length Gaussian chain for balance.
Swing (4h - 1D) : Prioritize clarity and opacity-driven trend phases.
Position (Daily - Weekly) : Longer smoothing to capture macro rhythm.
Performance Characteristics
Most Effective In :
Trending markets with recurring volatility cycles.
Transitional phases where early directional confirmation is crucial.
Less Effective In:
Ultra-low volume markets with erratic tick data.
Random, micro-chop conditions with no structural flow.
Integration Guidelines
Pair with volatility or volume expansion tools for enhanced breakout confirmation.
Use ribbon compression to anticipate volatility shifts.
Align entries with gradient expansion in the dominant color direction.
Scale position size relative to opacity strength and ribbon width.
Disclaimer
The Triple Gaussian Smoothed Ribbon – Adaptive Gaussian Framework is designed as a signal visualization and trend interpretation tool, not a standalone trading system. Its accuracy depends on appropriate parameter tuning, contextual confirmation, and disciplined risk management. It should be applied as part of a comprehensive technical or algorithmic trading strategy.
Delta Volume Heatmap Delta Volume Heatmap
The Delta Volume Heatmap visualizes the real-time strength of per-bar delta volume — highlighting the imbalance between buying and selling pressure.
Each column’s color intensity reflects how strong the delta volume deviates from its moving average and standard deviation.
🟩 Green tones = Buy-dominant activity (bullish imbalance)
🟥 Red tones = Sell-dominant activity (bearish imbalance)
This tool helps traders quickly identify:
Abnormal volume spikes
Absorption or exhaustion zones
Potential reversal or continuation signals
Delta Volume Heatmap Delta Volume Heatmap
The Delta Volume Heatmap visualizes the real-time strength of per-bar delta volume — highlighting the imbalance between buying and selling pressure.
Each column’s color intensity reflects how strong the delta volume deviates from its moving average and standard deviation.
Green tones = Buy-dominant activity (bullish imbalance)
Red tones = Sell-dominant activity (bearish imbalance)
This tool helps traders quickly identify:
Abnormal volume spikes
Absorption or exhaustion zones
Potential reversal or continuation signals
Dominant DATR [CHE] Dominant DATR — Directional ATR stream with dominant-side EMA, bands, labels, and alerts
Summary
Dominant DATR builds two directional volatility streams from the true range, assigns each bar’s range to the up or down side based on the sign of the close-to-close move, and then tracks the dominant side through an exponential average. A rolling band around the dominant stream defines recent extremes, while optional gradient coloring reflects relative magnitude. Swing-based labels mark new higher highs or lower lows on the dominant stream, and alerts can be enabled for swings, zero-line crossings, and band breakouts. The result is a compact pane that highlights regime bias and intensity without relying on price overlays.
Motivation: Why this design?
Conventional ATR treats all range as symmetric, which can mask directional pressure, cause late regime shifts, and produce frequent false flips during noisy phases. This design separates the range into up and down contributions, then emphasizes whichever side is stronger. A single smoothed dominant stream clarifies bias, while the band and swing markers help distinguish continuation from exhaustion. Optional normalization by close makes the metric comparable across instruments with different price scales.
What’s different vs. standard approaches?
Reference baseline: Classic ATR or a basic EMA of price.
Architecture differences:
Directional weighting of range using positive and negative close-to-close moves.
Separate moving averages for up and down contributions combined into one dominant stream.
Rolling highest and lowest of the dominant stream to form a band.
Optional normalization by close, window-based scaling for color intensity, and gamma adjustment for visual contrast.
Event logic for swing highs and lows on the dominant stream, with label buffering and pruning.
Configurable alerts for swings, zero-line crossings, and band breakouts.
Practical effect: You see when volatility is concentrated on one side, how strong that bias currently is, and when the dominant stream pushes through or fails at its recent envelope.
How it works (technical)
Each bar’s move is split into an up component and a down component based on whether the close increased or decreased relative to the prior close. The bar’s true range is proportionally assigned to up or down using those components as weights.
Each side is smoothed with a Wilder-style moving average. The dominant stream is the side with the larger value, recorded as positive for up dominance and negative for down dominance.
The dominant stream is then smoothed with an exponential moving average to reduce noise and provide a responsive yet stable signal line.
A rolling window tracks the highest and lowest values of the dominant EMA to form an envelope. Crossings of these bounds indicate unusual strength or weakness relative to recent history.
For visualization, the absolute value of the dominant EMA is scaled over a lookback window and passed through a gamma curve to modulate gradient intensity. Colors are chosen separately for up and down regimes.
Swing events are detected by comparing the dominant EMA to its recent extremes over a short lookback. Labels are placed when a prior bar set an extreme and the current bar confirms it. A managed array prunes older labels when the user-defined maximum is exceeded.
Alerts mirror these events and also include zero-line crossings and band breakouts. The script does not force closed-bar confirmation; users should configure alert execution timing to suit their workflow.
There are no higher-timeframe requests and no security calls. State is limited to simple arrays for labels and persistent color parameters.
Parameter Guide
Parameter — Effect — Default — Trade-offs/Tips
ATR Length — Smoothing of directional true range streams — fourteen — Longer reduces noise and may delay regime shifts; shorter increases responsiveness.
EMA Length — Smoothing of the dominant stream — twenty-five — Lower values react faster; higher values reduce whipsaw.
Band Length — Window for recent highs and lows of the dominant stream — ten — Short windows flag frequent breakouts; long windows emphasize only exceptional moves.
Normalize by Close — Divide by close price to produce a percent-like scale — false — Useful across assets with very different price levels.
Enable gradient color — Turn on magnitude-based coloring — true — Visual aid only; can be disabled for simplicity.
Gradient window — Lookback used to scale color intensity — one hundred — Larger windows stabilize the color scale.
Gamma (lines) — Adjust gradient intensity curve — zero point eight — Lower values compress variation; higher values expand it.
Gradient transparency — Transparency for gradient plots — zero, between zero and ninety — Higher values mute colors.
Up dark / Up neon — Base and peak colors for up dominance — green tones — Styling only.
Down dark / Down neon — Base and peak colors for down dominance — red tones — Styling only.
Show zero line / Background tint — Visual references for regime — true and false — Background tint can help quick scanning.
Swing length — Bars used to detect swing highs or lows — two — Larger values demand more structure.
Show labels / Max labels / Label offset — Label visibility, cap, and vertical offset — true, two hundred, zero — Increase cap with care to avoid clutter.
Alerts: HH/LL, Zero Cross, Band Break — Toggle alert rules — true, false, false — Enable only what you need.
Reading & Interpretation
The dominant EMA above zero indicates up-side dominance; below zero indicates down-side dominance.
Band lines show recent extremes of the dominant EMA; pushes through the band suggest unusual momentum on the dominant side.
Gradient intensity reflects local magnitude of dominance relative to the chosen window.
HH/LL labels appear when the dominant stream prints a new local extreme in the current regime and that extreme is confirmed on the next bar.
Zero-line crosses suggest regime flips; combine with structure or filters to reduce noise.
Practical Workflows & Combinations
Trend following: Consider entries when the dominant EMA is on the regime side and expands away from zero. Band breakouts add confirmation; structure such as higher highs or lower lows in price can filter signals.
Exits and stops: Tighten exits when the dominant stream stalls near the band or fades toward zero. Opposite swing labels can serve as early caution.
Multi-asset and multi-timeframe: Works across liquid assets and common timeframes. For lower noise instruments, reduce smoothing slightly; for high noise, increase lengths and swing length.
Behavior, Constraints & Performance
Repaint and confirmation: No security calls and no future-looking references. Swing labels confirm one bar later by design. Real-time crosses can change intra-bar; use bar-close alerts if needed.
Resources: `max_bars_back` is two thousand. The script uses an array for labels with pruning, gradient color computations, and a simple while loop that runs only when the label cap is exceeded.
Known limits: The EMA can lag at sharp turns. Normalization by close changes scale and may affect thresholds. Extremely gappy data can produce abrupt shifts in the dominant side.
Sensible Defaults & Quick Tuning
Starting point: ATR Length fourteen, EMA Length twenty-five, Band Length ten, Swing Length two, gradient enabled.
Too many flips: Increase EMA Length and swing length, or enable only swing alerts.
Too sluggish: Decrease EMA Length and Band Length.
Inconsistent scales across symbols: Enable Normalize by Close.
Visual clutter: Disable gradient or reduce label cap.
What this indicator is—and isn’t
This is a volatility-bias visualization and signal layer that highlights directional pressure and intensity. It is not a complete trading system and does not produce position sizing or risk management. Use it with market structure, context, and independent risk controls.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
Anti-PDT Swing Trade Signals//@version=5
indicator("Anti-PDT Swing Trade Signals", overlay=true)
// === User Inputs ===
priceLimit = input.float(25, "Max Price ($)", minval=1)
minVolume = input.int(200000, "Min Avg Volume (10D)", minval=1)
// === Indicators ===
sma20 = ta.sma(close, 20)
sma50 = ta.sma(close, 50)
macdLine = ta.ema(close, 12) - ta.ema(close, 26)
signalLine = ta.ema(macdLine, 9)
rsi = ta.rsi(close, 14)
avgVolume = ta.sma(volume, 10)
// === Conditions ===
priceFilter = close <= priceLimit
volumeFilter = avgVolume >= minVolume
rsiFilter = ta.crossover(rsi, 40)
macdFilter = ta.crossover(macdLine, signalLine)
smaFilter = close > sma20 and close > sma50
momentumFilter = close > close * 1.03 and close < close * 1.10
// === Day Filter ===
isMonWedFri = dayofweek == dayofweek.monday or dayofweek == dayofweek.wednesday or dayofweek == dayofweek.friday
entryCondition = priceFilter and volumeFilter and rsiFilter and macdFilter and smaFilter and momentumFilter and isMonWedFri
// === Alerts & Visuals ===
plotshape(entryCondition, title="BUY", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY")
alertcondition(entryCondition, title="BUY Alert", message="BUY Signal: {{ticker}} meets swing trading entry criteria.")
plot(sma20, color=color.orange)
plot(sma50, color=color.blue)
Trend Pivots Profile [BigBeluga]🔵 OVERVIEW
The Trend Pivots Profile is a dynamic volume profile tool that builds profiles around pivot points to reveal where liquidity accumulates during trend shifts. When the market is in an uptrend , the indicator generates profiles at low pivots . In a downtrend , it builds them at high pivots . Each profile is constructed using lower timeframe volume data for higher resolution, making it highly precise even in limited space. A colored trendline helps traders instantly recognize the prevailing trend and anticipate which type of profile (bullish or bearish) will form.
🔵 CONCEPTS
Pivot-Driven Profiles : Profiles are only created when a new pivot forms, aligning liquidity analysis with market structure shifts.
Trend-Contextual : Profiles form at low pivots in uptrends and at high pivots in downtrends.
Lower Timeframe Data : Volume and close values are pulled from smaller timeframes to provide detailed, high-resolution profiles inside larger pivot windows.
Adaptive Bin Sizing : Bin size is automatically calculated relative to ATR, ensuring consistent precision across different markets and volatility conditions.
Point of Control (PoC) : The highest-volume level within each profile is marked with a PoC line that extends until the next pivot forms.
Trendline Visualization : A wide, semi-transparent line follows the rolling average of highs and lows, colored blue in uptrends and orange in downtrends.
🔵 FEATURES
Pivot Length Control : Adjust how far back the script looks to detect pivots (e.g., length 5 → profiles cover 10 bars after pivot).
Pivot Profile toggle :
On → draw the filled pivot profile + PoC + pivot label.
Off → hide profiles; show only PoC level (clean S/R mode).
Trend Length Filter : Smooths trendline detection to ensure reliable up/down bias.
Precise Volume Distribution : Volume is aggregated into bins, creating a smooth volume curve around the pivot range.
PoC Extension : Automatically extends the most active price level until a new pivot is confirmed.
Profile Visualization : Profiles appear as filled shapes anchored at the pivot candle, colored based on trend.
Trendline Overlay : Thick, semi-transparent trendline provides visual guidance on directional bias.
Automatic Cleanup : Old profiles are deleted once they exceed the chart’s capacity (default 25 stored profiles).
🔵 HOW TO USE
Spotting Trend Liquidity : In an uptrend, monitor profiles at low pivots to see where buyers concentrated. In downtrends, use high-pivot profiles to spot sell-side pressure.
Watch the PoC : The PoC line highlights the strongest traded level of the pivot structure—expect reactions when price retests it.
Anticipate Trend Continuation/Reversal : Use the trendline (blue = bullish, orange = bearish) together with pivot profiles to forecast directional momentum.
Combine with HTF Context : Overlay with higher timeframe structure (order blocks, liquidity zones, or FVGs) for confluence.
Fine-Tune with Inputs : Adjust Pivot Length for sensitivity and Trend Length for smoother or faster trend shifts.
🔵 CONCLUSION
The Trend Pivots Profile blends pivot-based structure with precise volume profiling. By dynamically plotting profiles on pivots aligned with the prevailing trend, highlighting PoCs, and overlaying a directional trendline, it equips traders with a clear view of liquidity clusters and directional momentum—ideal for anticipating reactions, pullbacks, or breakouts.
CVD Pro – Smart Overlay + Signals (with Persist Mode)What this Indicator Does
CVD Pro visualizes Cumulative Volume Delta (CVD) data directly on your main price chart — helping you detect real buying vs. selling pressure in real time.
Unlike most CVD scripts that run in a separate subwindow, this one overlays price-mapped CVD curves on the candles themselves for better confluence with market structure and FVG zones.
The script dynamically scales normalized CVD values to the price range and uses adaptive smoothing and deviation bands to highlight shifts in trader behavior.
It also includes automatic bullish/bearish crossover signals, displayed as on-chart labels.
⚙️ Main Features
✅ Price-mapped CVD Overlay
CVD is normalized (Z-score) and projected onto the price chart for easy visual correlation with price structure.
✅ Multi-Timeframe Presets
Three sensitivity presets optimized for different chart environments:
Strict (4H) → Best for macro trends and high-timeframe structure.
Balanced (1H / 30m) → Great for active swing setups.
Sensitive (15m) → Captures short-term intraday reversals.
✅ Dynamic Bands & Smoothing
Deviation bands visualize statistical extremes in delta pressure — helping to identify exhaustion and divergence points.
✅ Smart Buy/Sell Signal Logic
Automatic label triggers when the CVD Overlay crosses its smoothed baseline:
🟢 BULL LONG → Rising CVD above the mean (buyers in control).
🔴 BEAR SHORT → Falling CVD below the mean (sellers in control).
✅ Persist Mode
Toggle to keep the last signal visible until a new one forms — ideal for traders who prefer clean chart annotations without noise.
✅ Clean, Minimal Overlay
Everything happens directly on your chart — no extra windows, no clutter. Designed for use with Smart Money Concepts, Fair Value Gaps (FVGs), or volume imbalance setups.
🧩 Use Case
CVD Pro is designed for traders who:
Use Smart Money Concepts (SMC) or ICT-style trading
Watch for FVG reactions, breaker blocks, and liquidity sweeps
Need to confirm order flow direction or momentum strength
Trade intraday or swing setups with precision entries and clear bias confirmation
⚡ Recommended Settings
4H / 1H: Use Strict mode for major structure and confirmation.
1H / 30m: Balanced mode for clear mid-term trend alignment.
15m: Sensitive mode to catch scalps and lower-TF shifts.
🧠 Pro Tips
Combine with RSI or Market Structure Breaks (MSS) for additional confluence.
A strong CVD divergence near a key FVG or 0.5–0.705 Fibonacci zone often signals reversal.
Persistent CVD crossover + price structure break = high-probability entry.
🧩 Credits
Created by Patrick S. ("Nova Labs")
Concept inspired by professional order-flow analytics and adaptive Z-Score normalization.
Would you like me to write a shorter “public summary” paragraph (for the short description at the top of TradingView, the one-liner users see before expanding)?
It’s usually a 2–3 sentence hook like:
“Overlay-based CVD indicator that merges volume delta with price structure. Detect true buying/selling pressure using adaptive normalization, deviation bands, and clean bullish/bearish crossover signals.”
Aggression Bulbs v3.1 (Sessions + Bias, fixed)EYLONAggression Bulbs v3.2 (Sessions + Bias + Volume Surge)
This indicator highlights aggressive buy and sell activity during the London and New York sessions, using volume spikes and candle body dominance to detect institutional momentum.
⚙️ Main Logic
Compares each candle’s volume vs average volume (Volume Surge).
Checks body size vs full candle range to detect strong directional moves.
Uses an EMA bias filter to align signals with the current trend.
Displays green bubbles for aggressive buyers and red bubbles for aggressive sellers.
🕐 Sessions
London: 08:00–12:59 UTC+1
New York: 14:00–18:59 UTC+1
(Backgrounds: Yellow = London, Orange = New York)
📊 How to Read
🟢 Green bubble below bar → Aggressive BUY candle (strong demand).
🔴 Red bubble above bar → Aggressive SELL candle (strong supply).
Bubble size = relative strength (volume × candle dominance).
Use in confluence with key POI zones, volume profile, or delta clusters.
⚠️ Tips
Use on 1m–15m charts for scalping or intraday analysis.
Combine with your session bias or FVG zones for higher accuracy.
Set alerts when score ≥ threshold to catch early momentum.
Higher Timeframe Bias and DOLAn indicator which looks at the most recent FVG and, assuming it's been respected, provides a bias flag on the 1H, 4H and Daily levels.
Differenza Close - SMA200 con MM9 dinamicaDifferenza Close - SMA200 con MM9 dinamica
distanza tra i prezzi e la sua media di lungo periodo.
KCP Support & Resistance [Dr.K.C.PRAKASH]ChatGPT said:
This indicator “KCP Support & Resistance ” (Pine Script v5) is a multi-featured support & resistance tool that combines pivots, slope-based channels, Fibonacci options, and SMA200 trend reference.
🔎 Core Concept
The script identifies pivot highs and lows and uses them to draw support and resistance levels on the chart.
It allows you to visualize them in two ways:
Horizontal lines (flat support/resistance at pivot values).
Parallel slope-based lines (trend-adjusted, drawn with slope factor).
⚙️ Settings & Options
Theme
useDark: Switches to a dark-color palette with bright neon-style lines for better visibility on dark charts.
Basic Settings
length: Pivot length (bars used to detect swing high/low).
lookback: How many past pivot points to use for plotting lines.
Slope: Multiplier applied to slope calculations (for slanted trendline-style S/R).
Extend Horizontal Lines Left?: Option to extend horizontal lines to both sides.
Extend Parallel Lines Left?: Same for slope-based lines.
Show/Hide Controls
Show Parallel Lines?: Toggle diagonal support/resistance.
Show Horizontal Lines?: Toggle flat levels.
Show SMA 200 Line?: Toggle long-term SMA(200) reference.
Hide Fibonacci Lines? / Show Fib Trend Line? / Show All Fibonacci Lines?: (reserved for Fib functionality).
Line Colors
Customizable line colors for parallel & horizontal high/low lines.
If Dark Theme is enabled → Uses preset colors:
Electric Blue (Resistance - Parallel Highs)
Neon Green (Support - Parallel Lows)
Deep Red/Pink (Horizontal Highs)
Warm Yellow (Horizontal Lows)
📐 Logic & Calculations
Pivot Detection
Uses ta.pivothigh & ta.pivotlow with length to mark swing points.
Stores them in arrays for drawing multiple levels.
Slope Calculation
Uses covariance/variance of price vs. time (bar_index) to estimate slope.
Multiplied by Slope factor.
Makes trend-following parallel support/resistance lines possible.
Line Drawing
Parallel lines: Slanted, based on pivot highs/lows + slope.
Horizontal lines: Flat support & resistance levels extended across the chart.
SMA200 Plot
Plots SMA(200) for long-term trend direction.
Colored white if EMA(200) > SMA(200), else yellow (trend bias visual).
📊 What You See on Chart
Support & Resistance drawn dynamically from pivots.
Choice of horizontal (classic S/R) or sloped (trend-following) lines.
Dark theme colors → Electric blue, neon green, deep pink, warm yellow (if enabled).
SMA200 reference line → Helps identify bullish/bearish long-term bias.
Optional Fibonacci lines (future expansion).
Momentum Variance OscillatorWhat MVO measures:
-PV (Price-Volume) Oscillator – how far price is from a volatility-scaled basis, then weighted by relative volume.
- > 0 = bullish pressure; < 0 = bearish pressure.
-|PV| larger ⇒ stronger momentum.
-Signal line (EMA of PV) – a smoother track of PV; crossings flag momentum shifts.
-Zero line gradient – instantly shows direction (greenish bull / reddish bear) and strength (paler → stronger).
-Extreme bands (±obLevel) – “hot zone” thresholds; being beyond them = exceptional push.
-Variance histogram – MACD-like view (PV minus slower PV-EMA) to see thrust building vs. fading.
-(Optional) Bar coloring & background tint – paints price bars and/or the panel on key events so you can read the regime at a glance.
-Auto-Tune – searches a grid of (obLevel, weakLvl) pairs and (optionally) auto-applies the best, ranked by CAGR vs. drawdown.
Core signals & how to trade them:
1) Define the regime:
-Bullish regime: PV above 0 and/or PV above Signal; zero line is in bull gradient.
-Bearish regime: PV below 0 and/or PV below Signal; zero line is in bear gradient.
-Action: Prefer trades with the regime (avoid fading strong color/strength unless you have a clear reversal setup).
2) Entries:
Momentum entry:
-Long: PV crosses above Signal while PV > 0.
-Short: PV crosses below Signal while PV < 0.
Breakout/acceleration:
-Long add-on: PV crosses above +obLevel (extreme top) and holds.
-Short add-on: PV crosses below −obLevel (extreme bottom) and holds.
-Histogram confirm: Growing bars in your direction = thrust improving; shrinking/flip = thrust stalling.
3) Exits / risk:
-Soft exit / tighten stops: PV loses the extreme and re-enters inside, or histogram fades/turns against you.
-Hard exit / reverse: Opposite PV↔Signal crossover and PV crosses the zero line.
-Weak zone filter: If |PV| < weakLvl, treat signals as lower quality (smaller size or skip).
4) Practical setup - Suggested defaults (good starting point):
-Signal length: 26
-Volume power: 0.50
-obLevel (extreme): 2.00
-weakLvl: 0.75
-Show histogram & dots: On
-Auto-Tune (recommended)
-Turn Auto-Select Best ON. MVO will scan obLevel 1.50→3.00 (step 0.05) and weakLvl 0.50→1.00 (step 0.05), then use the top-ranked pair (CAGR/(1+MDD)).
-If you want to see the top combos, enable the Optimizer Table (Top-3).
5) Visual options
-Bar Colors: Regime+Strength – bars follow the zero-line gradient (great for quick read).
-Extremes – paint only when beyond ±obLevel.
-Cross Signals – paint only on the bar that crosses an extreme.
-Background on breach: A one-bar tint when PV crosses an extreme.
6) Example playbook:
Long setup:
-Zero line shows bull gradient and PV > 0.
-PV crosses above Signal (entry).
-If PV drives above +obLevel, consider add-on; trail under the last minor swing or use ATR.
-Exit/trim on PV crossing below Signal or histogram turning negative; flatten on a drop through 0.
Short setup mirrors the above on the bear side.
7) Tips to avoid common traps:
-Don’t fade strong extremes without clear confirmation (e.g., PV re-entering inside + histogram flip).
-Respect the weak zone: if |PV| < weakLvl, signals are fragile—size down or wait.
-Align with structure: higher-timeframe trend and SR improve expectancy.
-Instrument personality matters: use Auto-Tune or re-calibrate obLevel/weakLvl across assets/timeframes.
8) Alerts you can set:
-Bull Signal X – PV crossed above Signal
-Bear Signal X – PV crossed below Signal
-Bull Baseline X – PV crossed above 0
-Bear Baseline X – PV crossed below 0
Просто и ясноThis indicator is a comprehensive trading tool that combines multiple moving averages (MA) and volume profile analysis. Here’s a brief overview of its main components:
Moving Averages System
The indicator displays several types of moving averages with customizable parameters:
Primary MA System:
Two main MAs (MA1 and MA2) with selectable types (SMA, EMA, WMA, VWMA, RMA, HMA)
Customizable lengths for both MAs
MA1 is plotted in blue, MA2 in red
Global Trend MA:
A long-term MA (green line) for trend identification
An additional multiplier line (purple) for support/resistance levels
Additional EMAs:
Multiple EMAs with different periods (from 5 to 150 periods)
Dynamic color coding (green/red) based on direction
Two key EMAs (35 and 90 periods) plotted in yellow
Volume Profile Analysis
The indicator includes a volume profile component that:
Analyzes price distribution over a specified number of bars
Displays volume-based histograms showing:
Buy volume (blue bars)
Sell volume (red bars)
Point of Control (PoC) area
Plots top and bottom range lines
Key Features
Customizable Parameters:
MA types and lengths
Volume profile settings
Visual appearance
Overlays:
All elements are plotted on the price chart
Multiple MA lines for trend analysis
Volume histograms for market depth analysis
Practical Use:
Trend identification using MA crossovers
Support/resistance levels from MA lines
Volume analysis for market sentiment
Potential reversal zones based on volume distribution
The indicator is designed for both trend following and reversal trading strategies, providing a combination of trend analysis tools and volume-based market structure insights.
Это комплексный индикатор для технического анализа, который объединяет несколько инструментов:
Скользящие средние (MA) разных типов (SMA, EMA, WMA, VWMA, RMA, HMA) с настраиваемыми периодами
Основная система из двух MA (синяя и красная линии) для определения трендов
Глобальная MA (зелёная линия) для анализа долгосрочного тренда
Дополнительные EMA с динамической раскраской (зелёный/красный)
Профиль объёма с гистограммами покупок (синие) и продаж (красные)
Индикатор помогает:
Определять тренды через пересечения MA
Находить уровни поддержки/сопротивления
Анализировать рыночный объём
Оценивать настроения участников рынка
Инструмент подходит как для внутридневной торговли, так и для долгосрочного анализа. Все элементы отображаются прямо на графике цены.
조건 검색식//@version=5
indicator("조건 검색식", overlay=true)
// ----------------------
// 기본 입력
// ----------------------
shortEmaLen = input.int(112, "단기 EMA")
midEmaLen = input.int(224, "중기 EMA")
longEmaLen = input.int(448, "장기 EMA")
ema5Len = input.int(5, "EMA 5")
ema20Len = input.int(20, "EMA 20")
bbLen = input.int(20, "볼린저 기간")
bbMult = input.float(2.0, "볼린저 배수")
// ----------------------
// 이동평균선
// ----------------------
emaShort = ta.ema(close, shortEmaLen)
emaMid = ta.ema(close, midEmaLen)
emaLong = ta.ema(close, longEmaLen)
ema5 = ta.ema(close, ema5Len)
ema20 = ta.ema(close, ema20Len)
// ----------------------
// 거래량 / 거래대금
// ----------------------
avgVol = ta.sma(volume, 5)
cond_vol = (volume >= 50000 and volume <= 99999999)
cond_val = (avgVol * close >= 50000 and avgVol * close <= 9999999)
// ----------------------
// 캔들 비교
// ----------------------
cond_price = (close < close) // 1봉전 종가 < 현재 종가
// ----------------------
// 이평 조건
// ----------------------
cond_ma_reverse = (emaShort < emaMid and emaMid < emaLong) // 역배열
cond_ma_short = (ema5 > ema20 and ema5 > ema20 ) // 1봉 이상 지속
// ----------------------
// 체결강도 (추정치, 거래량 기준)
// ----------------------
// 체결강도 공식은 증권사마다 다르므로 근사치로 가정: (상승 거래량 비중/총거래량)
// TradingView에서 직접적인 "체결강도"는 제공하지 않음 → 임시로 100% 충족으로 세팅
cond_strength = true // 혹은 커스텀 계산 가능
// ----------------------
// 볼린저밴드 조건
// ----------------------
basis = ta.sma(close, bbLen)
dev = ta.stdev(close, bbLen)
bbUpper = basis + bbMult * dev
// 종가가 상단선 -5% ~ +5% 이내
cond_bb = (close >= bbUpper * 0.95 and close <= bbUpper * 1.05)
// ----------------------
// 일목균형표 (9,26,52)
// ----------------------
conversion = (ta.highest(high,9) + ta.lowest(low,9)) / 2
base = (ta.highest(high,26) + ta.lowest(low,26)) / 2
span1 = (conversion + base) / 2
span2 = (ta.highest(high,52) + ta.lowest(low,52)) / 2
cond_ichimoku = (close > span1 and close > span2)
// ----------------------
// 최종 조건
// ----------------------
condition = cond_vol and cond_val and cond_price and cond_ma_reverse and cond_ma_short and cond_strength and cond_bb and cond_ichimoku
plotshape(condition, title="조건 충족", style=shape.labelup, color=color.green, size=size.small, text="조건OK")
Cnagda Pure Price ActionCnagda Pure Price Action (CPPA) indicator is a pure price action-based system designed to provide traders with real-time, dynamic analysis of the market. It automatically identifies key candles, support and resistance zones, and potential buy/sell signals by combining price, volume, and multiple popular trend indicators.
How Price Action & Volume Analysis Works
Silver Zone – Logic, Reason, and Trade Planning
Logic & Visualization:
The Silver Zone is created when the closing price is the lowest in the chosen window and volume is the highest in that window.
Visually, a large silver-colored box/rectangle appears on the chart.
Thick horizontal lines (top and bottom) are drawn at the high and low of that candle/bar, extending to the right.
Reasoning:
This combination typically occurs at strong “accumulation” or support areas:
Sellers push the price down to the lowest point, but aggressive buyers step in with high volume, absorbing supply.
Indicates potential exhaustion of selling and likely shift in market control to buyers.
How to Plan Trades Using Silver Zone:
Watch if price returns to the Silver Zone in the future: It often acts as powerful support.
Bullish entries (buys) can be planned when price tests or slightly pierces this zone, especially if new buy signals occur (like yellow/green candle labels).
Place your stop-loss below the bottom line of the Silver Zone.
Target: Look for the nearest resistance or opposing zone, or use indicator’s bullish label as confirmation.
Extra Tip:
Multiple touches of the Silver Zone reinforce its importance, but if price closes deeply below it with high volume, that’s a caution signal—support may be breaking.
Black Zone – Logic, Reason, and Trade Planning (as CPPA):
Logic & Visualization:
The Black Zone is created when the closing price is the highest in the chosen window and volume is the lowest in that window.
Visually, a large black-colored box/rectangle appears on the chart, along with thick horizontal lines at the top (high) and bottom (low) of the candle, extending to the right.
Reasoning:
This combination signals a strong “distribution” or resistance area:
Buyers push the price up to a local high, but low volume means there is not much follow-through or conviction in the move.
Often marks exhaustion where uptrend may pause or reverse, as sellers can soon step in.
How to Plan Trades Using Black Zone:
If price revisits the Black Zone in the future, it often acts as major resistance.
Bearish entries (sells) are considered when price is near, testing, or slightly above the Black Zone—especially if new sell signals appear (like blue/red candle labels).
Place your stop-loss just above the top line of the Black Zone.
Target: Nearest support zone (such as a Silver Zone) or next indicator’s bearish label.
Extra Tip:
Multiple touches of the Black Zone make it stronger, but if price closes far above with rising volume, be cautious—resistance might be breaking.
Support Line – Logic, Reason, and Trade Planning (as Cppa):
Logic & Visualization:
The Support Line is a dynamically drawn dashed line (usually blue) that marks key price levels where the market has previously shown significant buying interest.
The line is generated whenever a candle forms a high price with high volume (orange logic).
The script checks for historical pivot lows, past support zones, and even higher timeframe (HTF) supports, and then extends a blue dashed line from that price level to the right, labeling it (sometimes as “Prev Support Orange, HTF”).
Reasoning:
This line helps you visually identify where demand has been strong enough to hold price from falling further—essentially a floor in the market used by professional traders.
If price approaches or re-tests this line, there’s a good chance buyers will defend it again.
How to Plan Trades Using Support Line:
Watch for price to approach the Support Line during down moves. If you see a bullish candlestick pattern, buy labels (yellow/green), or other indicators aligning, this can be a high-probability entry zone.
Great for planning stop-loss for long trades: place stops just below this line.
Target: Next resistance zone, Black Zone, or the top of the last swing.
Extra Tip:
Multiple confirmations (support line + Silver Zone + bullish label) provide powerful entry signals.
If price closes strongly below the Support Line with volume, be cautious—support may be breaking, and a trend reversal or deeper correction could follow.
Resistance Line – Logic, Reason, and Trade Planning (from CPPA):
Logic & Visualization:
The Resistance Line is a dynamically drawn dashed line (usually purple or red) that identifies price levels where the market has previously faced significant selling pressure.
This line is created when a candle reaches a high price combined with high volume (orange logic), or from a historical pivot high/resistance,
The script also tracks higher timeframe (HTF) resistance lines, labeled as “Prev Resistance Orange, HTF,” and extends these dashed lines to the right across the chart.
Reasoning:
Resistance Lines are visual markers of “supply zones,” where buyers previously failed, and sellers took control.
If the price returns to this line later, sellers may get active again to defend this level, halting the uptrend.
How to Plan Trades Using Resistance Line:
Watch for price to approach the Resistance Line during up moves. If you see bearish candlestick patterns, sell labels (blue/red), or bearish indicator confirmation, this becomes a strong shorting opportunity.
Perfect for placing stop-loss in short trades—put your stop just above the Resistance Line.
Target: Next support zone (Silver Zone) or bottom of the last swing.
If the price breaks above with high volume, avoid shorting—resistance may be failing.
Extra Tip:
Multiple resistances (Resistance Line + Black Zone + bearish label) make short signals stronger.
Choppy movement around this line often signals indecision; wait for a clear rejection before entering trades.
Bullish / Bearish Label – Logic, Reason, and Trade Planning:
Logic & Visualization:
The indicator constantly calculates a "Bull Score" and a "Bear Score" based on several factors:
Trend direction from price slope
Confirmation by popular indicators (RSI, ADX, SAR, CMF, OBV, CCI, Bollinger Bands, TWAP)
Adaptive scoring (higher score for each bullish/bearish condition met)
If Bull Score > Bear Score, the chart displays a green "BULLISH" label (usually below the bar).
If Bear Score > Bull Score, the chart displays a red "BEARISH" label (usually above the bar).
If neither dominates, a "NEUTRAL" label appears.
Reasoning:
The labels summarize complex price action and indicator analysis into a simple, actionable sentiment cue:
Bullish: Majority of conditions indicate buying strength; trend is up.
Bearish: Majority signals show selling pressure; trend is down.
How to Use in Trade Planning:
Use the Bullish label as confirmation to enter or hold long (buy) positions, especially if near support/Silver Zone.
Use the Bearish label to enter/hold short (sell) positions, especially if near resistance/Black Zone.
For best results, combine with candle color, volume analysis, or other labels (yellow/green for buys, blue/red for sells).
Avoid trading against these labels unless you have strong confluence from zones/support levels.
Yellow Label (Buy Signal) – Logic, Reason & Trade Planning:
Logic & Visualization:
The yellow label appears below a candle (label.style_label_up, yloc.belowbar) and marks a potential buy signal.
Script conditions:
The candle must be a “yellow candle” (which means it’s at the local lowest close, not a high, with normal volume).
Volume is decreasing for 2 consecutive candles (current volume < previous volume, previous volume < second previous).
When these conditions are met, a yellow label is plotted below the candle.
Reasoning:
This scenario often marks the end of selling pressure and start of possible accumulation—buyers may be stepping in as sellers exhaust.
Decreasing volume during a local price low means selling is slowing, possibly hinting at a reversal.
How to Trade Using Yellow Label:
Entry: Consider buying at/just above the yellow-labeled candle’s close.
Stop-loss: A bit below the candle’s low (or Silver Zone line, if present).
Target: Next resistance level, Black Zone, or chart’s bullish label.
Extra Tip:
If the yellow label is found at/near a Silver Zone or Support Line, and trend is “Bullish,” the setup gets even stronger.
Avoid trading if overall indicator shows “Bearish.”
Green Label (Buy with Increasing Volume) – Logic, Reason & Trade Planning:
Logic & Visualization:
The green label is plotted below a candle (label.style_label_up, yloc.belowbar) and marks a strong buy signal.
Script conditions:
The candle must be a “yellow candle” (at the local lowest close, normal volume).
Volume is increasing for 2 consecutive candles (current volume > previous volume, previous volume > second previous).
When these conditions are met, a green label is plotted below the candle.
Reasoning:
This scenario signals that buyers are stepping in aggressively at a local price low—the end of a downtrend with strong, rising activity.
Increasing volume at a price low is a classic sign of accumulation, where institutions or large players may be buying.
How to Trade Using Green Label:
Entry: Consider buying at/just above the green-labeled candle’s close for a momentum-based reversal.
Stop-loss: Slightly below the candle’s low, or the Silver Zone/support line if present.
Target: Nearest resistance zone/Black Zone, indicator’s bullish label, or next swing high.
Extra Tip:
If the green label is near other supports (Silver Zone, Support Line), the setup is extra strong.
Use confirmation from Bullish labels or trend signals for best results.
Green label setups are suitable for quick, high momentum trades due to increasing volume
Blue Label (Sell Signal on Decreasing Volume) – Logic, Reason & Trade Planning:
Logic & Visualization:
The blue label is plotted above a candle (label.style_label_down, yloc.abovebar) as a potential sell signal.
Script conditions:
The candle is a “blue candle” (local highest close, but not also lowest, and volume is neither highest nor lowest).
Volume is decreasing over 2 consecutive candles (current volume < previous, previous < two ago).
When these match, a blue label appears above the candle.
Reasoning:
This typically signals buyer exhaustion at a local high: price has gone up, but volume is dropping, suggesting big players may not be buying any more at these levels.
The trend is losing strength, and a reversal or pullback is likely.
How to Trade Using Blue Label:
Entry: Look to sell at/just below the candle with the blue label.
Stop-loss: Just above the candle’s high (or above the Black Zone/resistance if present).
Target: Nearest support, Silver Zone, or a swing low.
Extra Tip:
Blue label signals are stronger if they appear near Black Zones or Resistance Lines, or when the general market label is "Bearish."
As with buy setups, always check for confirmation from trend or volume before trading aggressively.
Blue Label (Sell Signal on Decreasing Volume) – Logic, Reason & Trade Planning:
Logic & Visualization:
The blue label is plotted above a candle (label.style_label_down, yloc.abovebar) as a potential sell signal.
Script conditions:
The candle is a “blue candle” (local highest close, but not also lowest, and volume is neither highest nor lowest).
Volume is decreasing over 2 consecutive candles (current volume < previous, previous < two ago).
When these match, a blue label appears above the candle.
Reasoning:
This typically signals buyer exhaustion at a local high: price has gone up, but volume is dropping, suggesting big players may not be buying any more at these levels.
The trend is losing strength, and a reversal or pullback is likely.
How to Trade Using Blue Label:
Entry: Look to sell at/just below the candle with the blue label.
Stop-loss: Just above the candle’s high (or above the Black Zone/resistance if present).
Target: Nearest support, Silver Zone, or a swing low.
Extra Tip:
Blue label signals are stronger if they appear near Black Zones or Resistance Lines, or when the general market label is "Bearish."
As with buy setups, always check for confirmation from trend or volume before trading aggressively.
Here’s a summary of all key chart labels, zones, and trading logic of your Price Action script:
Silver Zone: Powerful support zone. Created at lowest close + highest volume. Best for buy entries near its lines.
Black Zone: Strong resistance zone. Created at highest close + lowest volume. Ideal for short trades near its levels.
Support Line: Blue dashed line at historical demand; buyers defend here. Look for bullish setups when price approaches.
Resistance Line: Purple/red dashed line at supply; sellers defend here. Great for bearish setups when price nears.
Bullish/Bearish Labels: Summarize trend direction using price action + multiple indicator confirmations. Plan buys, holds on bullish; sells, shorts on bearish.
Yellow Label: Buy signal on decreasing volume and local price low. Entry above candle, stop below, target next resistance.
Green Label: Strong buy on increasing volume at a price low. Entry for momentum trade, stop below, target next zone.
Blue Label: Sell signal on dropping volume and local price high. Entry below candle, stop above, target next support.
Best Practices:
Always combine zone/label signals for higher probability trades.
Use stop-loss near zones/lines for risk management.
Prefer trading in the trend direction (bullish/bearish label agrees with your entry).
if Any Question, Suggestion Feel free to ask
Disclaimer:
All information provided by this indicator is for educational and analysis purposes only, and should not be considered financial advice.
First Passage Time - Distribution AnalysisThe First Passage Time (FPT) Distribution Analysis indicator is a sophisticated probabilistic tool that answers one of the most critical questions in trading: "How long will it take for price to reach my target, and what are the odds of getting there first?"
Unlike traditional technical indicators that focus on what might happen, this indicator tells you when it's likely to happen.
Mathematical Foundation: First Passage Time Theory
What is First Passage Time?
First Passage Time (FPT) is a concept in stochastic processes that measures the time it takes for a random process to reach a specific threshold for the first time. Originally developed in physics and mathematics, FPT has applications in:
Quantitative Finance: Option pricing, risk management, and algorithmic trading
Neuroscience: Modeling neural firing patterns
Biology: Population dynamics and disease spread
Engineering: Reliability analysis and failure prediction
The Mathematics Behind It
This indicator uses Geometric Brownian Motion (GBM), the same stochastic model used in the Black-Scholes option pricing formula:
dS = μS dt + σS dW
Where:
S = Asset price
μ = Drift (trend component)
σ = Volatility (uncertainty component)
dW = Wiener process (random walk)
Through Monte Carlo simulation, the indicator runs 1,000+ price path simulations to statistically determine:
When each threshold (+X% or -X%) is likely to be hit
Which threshold is hit first (directional bias)
How often each scenario occurs (probability distribution)
🎯 How This Indicator Works
Core Algorithm Workflow:
Calculate Historical Statistics
Measures recent price volatility (standard deviation of log returns)
Calculates drift (average directional movement)
Annualizes these metrics for meaningful comparison
Run Monte Carlo Simulations
Generates 1,000+ random price paths based on historical behavior
Tracks when each path hits the upside (+X%) or downside (-X%) threshold
Records which threshold was hit first in each simulation
Aggregate Statistical Results
Calculates percentile distributions (10th, 25th, 50th, 75th, 90th)
Computes "first hit" probabilities (upside vs downside)
Determines average and median time-to-target
Visual Representation
Displays thresholds as horizontal lines
Shows gradient risk zones (purple-to-blue)
Provides comprehensive statistics table
📈 Use Cases
1. Options Trading
Selling Options: Determine if your strike price is likely to be hit before expiration
Buying Options: Estimate probability of reaching profit targets within your time window
Time Decay Management: Compare expected time-to-target vs theta decay
Example: You're considering selling a 30-day call option 5% out of the money. The indicator shows there's a 72% chance price hits +5% within 12 days. This tells you the trade has high assignment risk.
2. Swing Trading
Entry Timing: Wait for higher probability setups when directional bias is strong
Target Setting: Use median time-to-target to set realistic profit expectations
Stop Loss Placement: Understand probability of hitting your stop before target
Example: The indicator shows 85% upside probability with median time of 3.2 days. You can confidently enter long positions with appropriate position sizing.
3. Risk Management
Position Sizing: Larger positions when probability heavily favors one direction
Portfolio Allocation: Reduce exposure when probabilities are near 50/50 (high uncertainty)
Hedge Timing: Know when to add protective positions based on downside probability
Example: Indicator shows 55% upside vs 45% downside—nearly neutral. This signals high uncertainty, suggesting reduced position size or wait for better setup.
4. Market Regime Detection
Trending Markets: High directional bias (70%+ one direction)
Range-bound Markets: Balanced probabilities (45-55% both directions)
Volatility Regimes: Compare actual vs theoretical minimum time
Example: Consistent 90%+ bullish bias across multiple timeframes confirms strong uptrend—stay long and avoid counter-trend trades.
First Hit Rate (Most Important!)
Shows which threshold is likely to be hit FIRST:
Upside %: Probability of hitting upside target before downside
Downside %: Probability of hitting downside target before upside
These always sum to 100%
⚠️ Warning: If you see "Low Hit Rate" warning, increase this parameter!
Advanced Parameters
Drift Mode
Allows you to explore different scenarios:
Historical: Uses actual recent trend (default—most realistic)
Zero (Neutral): Assumes no trend, only volatility (symmetric probabilities)
50% Reduced: Dampens trend effect (conservative scenario)
Use Case: Switch to "Zero (Neutral)" to see what happens in a pure volatility environment, useful for range-bound markets.
Distribution Type
Percentile: Shows 10%, 25%, 50%, 75%, 90% levels (recommended for most users)
Sigma: Shows standard deviation levels (1σ, 2σ)—useful for statistical analysis
⚠️ Important Limitations & Best Practices
Limitations
Assumes GBM: Real markets have fat tails, jumps, and regime changes not captured by GBM
Historical Parameters: Uses recent volatility/drift—may not predict regime shifts
No Fundamental Events: Cannot predict earnings, news, or macro shocks
Computational: Runs only on last bar—doesn't give historical signals
Remember: Probabilities are not certainties. Use this indicator as part of a comprehensive trading plan with proper risk management.
Created by: Henrique Centieiro. feedback is more than welcome!
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