Statistical Mapping [Version 3]Edit Statistical Mapping (ESM) is a statistical technique used mainly in data validation, error detection, and imputation. It’s often applied in official statistics and large surveys. The method works by:
Defining a set of edits (logical or mathematical rules) that data records must satisfy.
Example: Income ≥ 0, Age ≥ 15 if Employment Status = “Employed”.
Identifying inconsistencies in the data when these edits are violated.
Using statistical mapping to correct or impute missing/inconsistent values based on relationships in the dataset.
Ensuring coherence of microdata so that it aligns with macro-level aggregates.
Supporting survey data cleaning, census editing, and economic statistics preparation.
It’s particularly important for official statistics agencies because data collected from respondents often contains errors, missing entries, or contradictions. ESM ensures that the final dataset is internally consistent, reliable, and ready for analysis.
趨勢分析
Smart Money Price Action ProSmart Money Price Action Pro - Smart Money and Price Action Dynamic Toolkit
The Smart Money Price Action Pro is designed to bring together multiple layers of market analysis into a single, cohesive framework, combining trend identification and consolidation detection in an actionable format. While individual indicators can provide useful insights, they often work in isolation. This toolkit integrates market flow detection, range analytics, and adaptive visualization into one system, allowing traders to see the bigger picture without piecing together multiple disconnected tools.
Building on principles from institutional trading behaviors, the toolkit gives traders a clearer picture of where “smart money” may be entering or exiting the market. Its design emphasizes confluence: signals from multiple independent modules overlap to create higher conviction setups, offering a structured edge when planning entries, exits, and risk levels.
At its core, the toolkit addresses the duality of market conditions: trending versus ranging. By offering a combination of trend-following signals and contrarian insights, it helps traders operate with a deeper understanding of market structure. While it provides actionable signals and visual guidance, it is intended as an assistive system, helping traders make more informed decisions rather than serving as a single source of truth.
Key Modules
1. Smart Money Signal Module
The Smart Money Signal Module identifies potential institutional activity by analyzing price swings and momentum shifts. Using configurable swing detection, it highlights potential reversal or continuation zones, expressed as adaptive zones around key market levels.
Signals are augmented with trend-colored candle overlays, offering immediate guidance on market bias. Bullish and bearish zones are clearly marked, while continuation and reversal markers help distinguish between trend shifts and market noise.
At its core, the engine applies swing detection combined with a sensitivity filter to track directional momentum across recent bars. This allows it to pinpoint bullish pivots (where downside momentum fades and strength returns) and bearish pivots (where upside momentum collapses). Once a pivot is confirmed, the system draws flow lines that map the breakout and classify it as either continuation or reversal, depending on broader market bias.
Momentum zones are then plotted to show areas where buyers stepped in with strength or sellers forced price lower. These levels extend forward dynamically, shifting in real time as new data forms. Zones change color the moment they break, visually confirming whether market structure has held or failed. Gradient shading highlights periods of extreme pressure, giving traders a clear visual of when momentum surges into overbought or oversold territory.
Instead of simply showing trend direction, this module also maps accumulation and distribution zones tied to institutional flows. When combined with the Range Module, these zones become more meaningful — for example, when institutional accumulation aligns with a breakout from consolidation.
Practical Use: Traders can use these signals to align trades with institutional flows. For example, entering a long position near a bullish accumulation zone or managing risk when bearish distribution areas form. By combining these insights with higher timeframe analysis, traders can filter out false signals and improve decision-making.
2. Range Detection Module
The Range Detection engine continuously monitors price action to flag when markets transition into consolidation phases. Ranges are defined not just by flat price action, but by a measurable contraction in volatility, repeated touches of boundary levels, and the clustering of traded volume around a central equilibrium point.
Once a valid range is identified, the system assigns a compression strength score (0–100). This score reflects how cleanly defined and structurally sound the consolidation is—higher scores indicate tighter boundaries and stronger evidence of accumulation or distribution.
Breakout tendencies are modeled dynamically. The system updates a forward-looking bias by incorporating:
Boundary time distribution – how often price presses against upper vs. lower edges
Historical breakout patterns – probability benchmarks derived from structurally similar ranges
Volume skew – whether traded volume leans toward buyers or sellers inside the range
Momentum alignment – auxiliary filters such as slope-based oscillators that indicate when energy is building for a directional move
The result is a live breakout forecast that evolves bar by bar as the range matures. Each active range carries a visual strength meter plotted above the consolidation zone, quantifying both compression and breakout potential in real time.
The module also supports range memory, preserving completed consolidations even after a breakout. This allows traders to review the prior structure for post-analysis or to track whether price respects the boundaries of the old range as support or resistance going forward.
Practical Use : Traders can use these ranges to anticipate breakout direction or step aside when conditions are unclear. A tight consolidation near a bullish zone, for instance, often signals a potential long opportunity, while overlapping bearish flows warn of false breakouts.
Integrated Workflow
The strength of the toolkit lies in its synergy. Each module is effective on its own, but the real advantage comes when their signals align.
A typical workflow may include:
Assessing the market trend using the Smart Money Signal Module and its trend-colored overlays
Identifying consolidation and breakout zones with the Range Detection Module
Watching for confluences: institutional accumulation aligning with range compression, or dashboard bias matching local setups
Executing trades with structured confidence, using these layered confirmations rather than relying on a single trigger
This integrated workflow streamlines decision-making and avoids the conflicting signals that can occur when combining unrelated indicators.
Additional Features
Adaptive Visualization : Dynamic zones and trend overlays adjust to volatility, keeping charts clear and focused
Analytics Dashboard : A compact summary panel shows active zones, bullish vs bearish flow counts, and current bias, giving context at a glance
Instead of simply adding more signals, the dashboard provides a meta-layer of analysis — context, bias, and flow strength — helping traders manage risk and stay aligned with broader market conditions.
Use Cases
Trend Confluence : Entering trades in line with prevailing smart money flows while filtering out counter-trend setups
Breakout Trading : Using the Range Detection Module to anticipate breakout zones and confirming direction with institutional flow signals
Contrarian Reversal Trades : Targeting accumulation/distribution zones where both modules indicate potential reversals
Each use case demonstrates how layered confluence creates clarity and conviction, making the toolkit a strong complement to other forms of technical analysis.
Conclusion
The Smart Money Signals Toolkit simplifies complex market analysis into actionable, visually intuitive insights. While standalone indicators provide value, this toolkit goes further by combining smart money flows, range detection, adaptive zones, and dashboard analytics into one cohesive system.
It doesn’t just generate buy/sell markers — it shows why a setup matters, where it is occurring, and how it aligns with broader conditions. This allows traders to operate with greater clarity, structure, and discipline.
Risk Disclaimer : This toolkit and its features are for educational and informational purposes only. Past performance does not guarantee future results. All suggested use cases are theoretical and should be applied with proper risk management.
Double Median ATR Bands | MisinkoMasterThe Double Median ATR Bands is a version of the SuperTrend that is designed to be smoother, more accurate while maintaining a good speed by combining the HMA smoothing technique and the median source.
How does it work?
Very simple!
1. Get user defined inputs:
=> Set them up however you want, for the result you want!
2. Calculate the Median of the source and the ATR
=> Very simple
3. Smooth the median with √length (for example if median length = 9, it would be smoothed over the length of 3 since 3x3 = 9)
4. Add ATR bands like so:
Upper = median + (atr*multiplier)
Lower = median - (atr*multiplier)
Trend Logic:
Source crossing over the upper band = uptrend
Source crossing below the lower band = downtrend
Enjoy G´s!
Cardwell RSI by TQ📌 Cardwell RSI – Enhanced Relative Strength Index
This indicator is based on Andrew Cardwell’s RSI methodology , extending the classic RSI with tools to better identify bullish/bearish ranges and trend dynamics.
In uptrends, RSI tends to hold between 40–80 (Cardwell bullish range).
In downtrends, RSI tends to stay between 20–60 (Cardwell bearish range).
Key Features :
Standard RSI with configurable length & source
Fast (9) & Slow (45) RSI Moving Averages (toggleable)
Cardwell Core Levels (80 / 60 / 40 / 20) – enabled by default
Base Bands (70 / 50 / 30) in dotted style
Optional custom levels (up to 3)
Alerts for MA crosses and level crosses
Data Window metrics: RSI vs Fast/Slow MA differences
How to Use :
Monitor RSI behavior inside Cardwell’s bullish (40–80) and bearish (20–60) ranges
Watch RSI crossovers with Fast (9) and Slow (45) MAs to confirm momentum or trend shifts
Use levels and alerts as confluence with your trading strategy
Default Settings :
RSI Length: 14
MA Type: WMA
Fast MA: 9 (hidden by default)
Slow MA: 45 (hidden by default)
Cardwell Levels (80/60/40/20): ON
Base Bands (70/50/30): ON
Adaptive Trend Following Suite [Alpha Extract]A sophisticated multi-filter trend analysis system that combines advanced noise reduction, adaptive moving averages, and intelligent market structure detection to deliver institutional-grade trend following signals. Utilizing cutting-edge mathematical algorithms and dynamic channel adaptation, this indicator provides crystal-clear directional guidance with real-time confidence scoring and market mode classification for professional trading execution.
🔶 Advanced Noise Reduction
Filter Eliminates market noise using sophisticated Gaussian filtering with configurable sigma values and period optimization. The system applies mathematical weight distribution across price data to ensure clean signal generation while preserving critical trend information, automatically adjusting filter strength based on volatility conditions.
advancedNoiseFilter(sourceData, filterLength, sigmaParam) =>
weightSum = 0.0
valueSum = 0.0
centerPoint = (filterLength - 1) / 2
for index = 0 to filterLength - 1
gaussianWeight = math.exp(-0.5 * math.pow((index - centerPoint) / sigmaParam, 2))
weightSum += gaussianWeight
valueSum += sourceData * gaussianWeight
valueSum / weightSum
🔶 Adaptive Moving Average Core Engine
Features revolutionary volatility-responsive averaging that automatically adjusts smoothing parameters based on real-time market conditions. The engine calculates adaptive power factors using logarithmic scaling and bandwidth optimization, ensuring optimal responsiveness during trending markets while maintaining stability during consolidation phases.
// Calculate adaptive parameters
adaptiveLength = (periodLength - 1) / 2
logFactor = math.max(math.log(math.sqrt(adaptiveLength)) / math.log(2) + 2, 0)
powerFactor = math.max(logFactor - 2, 0.5)
relativeVol = avgVolatility != 0 ? volatilityMeasure / avgVolatility : 0
adaptivePower = math.pow(relativeVol, powerFactor)
bandwidthFactor = math.sqrt(adaptiveLength) * logFactor
🔶 Intelligent Market Structure Analysis
Employs fractal dimension calculations to classify market conditions as trending or ranging with mathematical precision. The system analyzes price path complexity using normalized data arrays and geometric path length calculations, providing quantitative market mode identification with configurable threshold sensitivity.
🔶 Multi-Component Momentum Analysis
Integrates RSI and CCI oscillators with advanced Z-score normalization for statistical significance testing. Each momentum component receives independent analysis with customizable periods and significance levels, creating a robust consensus system that filters false signals while maintaining sensitivity to genuine momentum shifts.
// Z-score momentum analysis
rsiAverage = ta.sma(rsiComponent, zAnalysisPeriod)
rsiDeviation = ta.stdev(rsiComponent, zAnalysisPeriod)
rsiZScore = (rsiComponent - rsiAverage) / rsiDeviation
if math.abs(rsiZScore) > zSignificanceLevel
rsiMomentumSignal := rsiComponent > 50 ? 1 : rsiComponent < 50 ? -1 : rsiMomentumSignal
❓How It Works
🔶 Dynamic Channel Configuration
Calculates adaptive channel boundaries using three distinct methodologies: ATR-based volatility, Standard Deviation, and advanced Gaussian Deviation analysis. The system automatically adjusts channel multipliers based on market structure classification, applying tighter channels during trending conditions and wider boundaries during ranging markets for optimal signal accuracy.
dynamicChannelEngine(baselineData, channelLength, methodType) =>
switch methodType
"ATR" => ta.atr(channelLength)
"Standard Deviation" => ta.stdev(baselineData, channelLength)
"Gaussian Deviation" =>
weightArray = array.new_float()
totalWeight = 0.0
for i = 0 to channelLength - 1
gaussWeight = math.exp(-math.pow((i / channelLength) / 2, 2))
weightedVariance += math.pow(deviation, 2) * array.get(weightArray, i)
math.sqrt(weightedVariance / totalWeight)
🔶 Signal Processing Pipeline
Executes a sophisticated 10-step signal generation process including noise filtering, trend reference calculation, structure analysis, momentum component processing, channel boundary determination, trend direction assessment, consensus calculation, confidence scoring, and final signal generation with quality control validation.
🔶 Confidence Transformation System
Applies sigmoid transformation functions to raw confidence scores, providing 0-1 normalized confidence ratings with configurable threshold controls. The system uses steepness parameters and center point adjustments to fine-tune signal sensitivity while maintaining statistical robustness across different market conditions.
🔶 Enhanced Visual Presentation
Features dynamic color-coded trend lines with adaptive channel fills, enhanced candlestick visualization, and intelligent price-trend relationship mapping. The system provides real-time visual feedback through gradient fills and transparency adjustments that immediately communicate trend strength and direction changes.
🔶 Real-Time Information Dashboard
Displays critical trading metrics including market mode classification (Trending/Ranging), structure complexity values, confidence scores, and current signal status. The dashboard updates in real-time with color-coded indicators and numerical precision for instant market condition assessment.
🔶 Intelligent Alert System
Generates three distinct alert types: Bullish Signal alerts for uptrend confirmations, Bearish Signal alerts for downtrend confirmations, and Mode Change alerts for market structure transitions. Each alert includes detailed messaging and timestamp information for comprehensive trade management integration.
🔶 Performance Optimization
Utilizes efficient array management and conditional processing to maintain smooth operation across all timeframes. The system employs strategic variable caching, optimized loop structures, and intelligent update mechanisms to ensure consistent performance even during high-volatility market conditions.
This indicator delivers institutional-grade trend analysis through sophisticated mathematical modelling and multi-stage signal processing. By combining advanced noise reduction, adaptive averaging, intelligent structure analysis, and robust momentum confirmation with dynamic channel adaptation, it provides traders with unparalleled trend following precision. The comprehensive confidence scoring system and real-time market mode classification make it an essential tool for professional traders seeking consistent, high-probability trend following opportunities with mathematical certainty and visual clarity.
Deadband Hysteresis Filter [BackQuant]Deadband Hysteresis Filter
What this is
This tool builds a “debounced” price baseline that ignores small fluctuations and only reacts when price meaningfully departs from its recent path. It uses a deadband to define how much deviation matters and a hysteresis scheme to avoid rapid flip-flops around the decision boundary. The baseline’s slope provides a simple trend cue, used to color candles and to trigger up and down alerts.
Why deadband and hysteresis help
They filter micro noise so the baseline does not react to every tiny tick.
They stabilize state changes. Hysteresis means the rule to start moving is stricter than the rule to keep holding, which reduces whipsaw.
They produce a stepped, readable path that advances during sustained moves and stays flat during chop.
How it works (conceptual)
At each bar the script maintains a running baseline dbhf and compares it to the input price p .
Compute a base threshold baseTau using the selected mode (ATR, Percent, Ticks, or Points).
Build an enter band tauEnter = baseTau × Enter Mult and an exit band tauExit = baseTau × Exit Mult where typically Exit Mult < Enter Mult .
Let diff = p − dbhf .
If diff > +tauEnter , raise the baseline by response × (diff − tauEnter) .
If diff < −tauEnter , lower the baseline by response × (diff + tauEnter) .
Otherwise, hold the prior value.
Trend state is derived from slope: dbhf > dbhf → up trend, dbhf < dbhf → down trend.
Inputs and what they control
Threshold mode
ATR — baseTau = ATR(atrLen) × atrMult . Adapts to volatility. Useful when regimes change.
Percent — baseTau = |price| × pctThresh% . Scale-free across symbols of different prices.
Ticks — baseTau = syminfo.mintick × tickThresh . Good for futures where tick size matters.
Points — baseTau = ptsThresh . Fixed distance in price units.
Band multipliers and response
Enter Mult — outer band. Price must travel at least this far from the baseline before an update occurs. Larger values reject more noise but increase lag.
Exit Mult — inner band for hysteresis. Keep this smaller than Enter Mult to create a hold zone that resists small re-entries.
Response — step size when outside the enter band. Higher response tracks faster; lower response is smoother.
UI settings
Show Filtered Price — plots the baseline on price.
Paint candles — colors bars by the filtered slope using your long/short colors.
How it can be used
Trend qualifier — take entries only in the direction of the baseline slope and skip trades against it.
Debounced crossovers — use the baseline as a stabilized surrogate for price in moving-average or channel crossover rules.
Trailing logic — trail stops a small distance beyond the baseline so small pullbacks do not eject the trade.
Session aware filtering — widen Enter Mult or switch to ATR mode for volatile sessions; tighten in quiet sessions.
Parameter interactions and tuning
Enter Mult vs Response — both govern sensitivity. If you see too many flips, increase Enter Mult or reduce Response. If turns feel late, do the opposite.
Exit Mult — widening the gap between Enter and Exit expands the hold zone and reduces oscillation around the threshold.
Mode choice — ATR adapts automatically; Percent keeps behavior consistent across instruments; Ticks or Points are useful when you think in fixed increments.
Timeframe coupling — on higher timeframes you can often lower Enter Mult or raise Response because raw noise is already reduced.
Concrete starter recipes
General purpose — ATR mode, atrLen=14 , atrMult=1.0–1.5 , Enter=1.0 , Exit=0.5 , Response=0.20 . Balanced noise rejection and lag.
Choppy range filter — ATR mode, increase atrMult to 2.0, keep Response≈0.15 . Stronger suppression of micro-moves.
Fast intraday — Percent mode, pctThresh=0.1–0.3 , Enter=1.0 , Exit=0.4–0.6 , Response=0.30–0.40 . Quicker turns for scalping.
Futures ticks — Ticks mode, set tickThresh to a few spreads beyond typical noise; start with Enter=1.0 , Exit=0.5 , Response=0.25 .
Strengths
Clear, explainable logic with an explicit noise budget.
Multiple threshold modes so the same tool fits equities, futures, and crypto.
Built-in hysteresis that reduces flip-flop near the boundary.
Slope-based coloring and alerts that make state changes obvious in real time.
Limitations and notes
All filters add lag. Larger thresholds and smaller response trade faster reaction for fewer false turns.
Fixed Points or Ticks can under- or over-filter when volatility regime shifts. ATR adapts, but will also expand bands during spikes.
On extremely choppy symbols, even a well tuned band will step frequently. Widen Enter Mult or reduce Response if needed.
This is a chart study. It does not include commissions, slippage, funding, or gap risks.
Alerts
DBHF Up Slope — baseline turns from down to up on the latest bar.
DBHF Down Slope — baseline turns from up to down on the latest bar.
Implementation details worth knowing
Initialization sets the baseline to the first observed price to avoid a cold-start jump.
Slope is evaluated bar-to-bar. The up and down alerts check for a change of slope rather than raw price crossings.
Candle colors and the baseline plot share the same long/short palette with transparency applied to the line.
Practical workflow
Pick a mode that matches how you think about distance. ATR for volatility aware, Percent for scale-free, Ticks or Points for fixed increments.
Tune Enter Mult until the number of flips feels appropriate for your timeframe.
Set Exit Mult clearly below Enter Mult to create a real hold zone.
Adjust Response last to control “how fast” the baseline chases price once it decides to move.
Final thoughts
Deadband plus hysteresis gives you a principled way to “only care when it matters.” With a sensible threshold and response, the filter yields a stable, low-chop trend cue you can use directly for bias or plug into your own entries, exits, and risk rules.
Rocket/Bomb PPO + SMI (confirmed, no repaint) — 1-liner labelsName: Rocket/Bomb PPO + SMI (confirmed, non-repaint)
What it does
Combines PPO (Percentage Price Oscillator) momentum with SMI (Stochastic Momentum Index) timing.
Prints a 🚀 “Rocket” buy label when PPO crosses up its signal and SMI crosses up its signal (momentum + timing agree).
Prints a 💣 “Bomb” sell label when PPO crosses down its signal and SMI crosses down its signal.
Labels are offset by ATR so they sit neatly above/below bars.
Why it’s clean (non-repaint)
Signals are gated by bar close confirmation (barstate.isconfirmed), so labels only appear after the bar closes—no flicker or back-filling.
Optional filter
“Strict SMI zone” filter: only allow buys when SMI < –Z and sells when SMI > +Z (default Z=20). This reduces noise in choppy markets.
Customization
PPO/SMI lengths, strict zone level, emoji vs arrows, label colors, icon size, and ATR offset are all configurable.
Alerts
Built-in alert conditions for Rocket (Long) and Bomb (Short) so you can automate notifications.
How to use (at a glance)
Trade in the direction of the Rocket/Bomb labels; the strict zone option helps avoid weak signals.
Best paired with basic trend or S/R context (e.g., higher-time-frame trend filter, recent swing levels) for entries/exits.
@lpha Trader — Market Maker Fibonacci ExtensionsAUTO FIB based on extension targets for MM
free to use we dont however handout the script
Renko RSI (Brick-Triggered, Red/Green Only) MODIFIEDhe Renko RSI (Brick-Triggered, Red/Green Only) Modified indicator is a specialized trading tool designed for use with Renko charts, which focus solely on price movements rather than time. This modified version enhances the traditional Renko RSI by triggering signals based on brick formations (price blocks) and uses only red and green colors to indicate trend direction—green for bullish (upward) trends and red for bearish (downward) trends. It integrates the Relative Strength Index (RSI) to identify potential reversals or continuations when Renko bricks change direction, filtering out market noise for clearer trend analysis. The indicator is tailored to highlight high-probability entry and exit points, making it suitable for traders seeking a simplified, visual approach to spotting trends and reversals, especially on assets like crypto on short timeframes such as 15-minute or 1-hour charts.
EMA Cross Alert V666 [noFuck]EMA Cross Alert — What it does
EMA Cross Alert watches three EMAs (Short, Mid, Long), detects their crossovers, and reports exactly one signal per bar by priority: EARLY > Short/Mid > Mid/Long > Short/Long. Optional EARLY mode pings when Short crosses Long while Mid is still between them—your polite early heads-up.
Why you might like it
Three crossover types: s/m, m/l, s/l
EARLY detection: earlier hints, not hype
One signal per bar: less noise, more focus
Clear visuals: tags, big cross at signal price, EARLY triangles
Alert-ready: dynamic alert text on bar close + static alertconditions for UI
Inputs (plain English)
Short/Mid/Long EMA length — how fast each EMA reacts
Extra EMA length (visual only) — context EMA; does not affect signals
Price source — e.g., Close
Show cross tags / EARLY triangles / large cross — visual toggles
Enable EARLY signals (Short/Long before Mid) — turn early pings on/off
Count Mid EMA as "between" even when equal (inclusive) — ON: Mid counts even if exactly equal to Short or Long; OFF (default): Mid must be strictly between them
Enable dynamic alerts (one per bar close) — master alert switch
Alert on Short/Mid, Mid/Long, Short/Long, EARLY — per-signal alert toggles
Quick tips
Start with defaults; if you want more EARLY on smooth/low-TF markets, turn “inclusive” ON
Bigger lengths = calmer trend-following; smaller = faster but choppier
Combine with volume/structure/risk rules—the indicator is the drummer, not the whole band
Disclaimer
Alerts, labels, and triangles are not trade ideas or financial advice. They are informational signals only. You are responsible for entries, exits, risk, and position sizing. Past performance is yesterday; the future is fashionably late.
Credits
Built with the enthusiastic help of Code Copilot (AI)—massively involved, shamelessly proud, and surprisingly good at breakfasting on exponential moving averages.
Intraday Auto Support/Resistance LevelsIntraday Auto Support / Resistance Levels
Welcome to a powerful, automated tool designed for intraday traders. This indicator dynamically identifies and plots key Support and Resistance (S/R) levels directly onto your chart at the start of each new trading session. By leveraging historical pivot points, it eliminates the guesswork and manual drawing, providing you with clear, actionable price levels to enhance your trading strategy. Focus on your execution while the indicator handles the analysis.
________________________________________
How It Works
The indicator operates through a sophisticated, multi-step process:
Pivot Identification: Using Tradingview’s built- in ta.pivothigh() and ta.pivotlow() functions, the script scans a user-defined number of bars back (the "Swing Level") to identify significant price swing highs and lows.
Data Collection: All identified pivot points are collected into a central array, creating a pool of potential S/R levels.
Session Start: At the opening of each new trading day (determined by the daily timestamp), the indicator processes this pool of prices.
Filtering & Sorting: The pivot points are split into two groups: those above the day's open price (potential Resistance) and those below (potential Support). A smart filtering algorithm then selects the most relevant levels based on your "Min Distance" setting, ensuring levels are not too close to each other and are statistically significant.
Dynamic Plotting: The strongest Support (S1, S2, S3...) and Resistance (R1, R2, R3...) levels are drawn as dotted lines extending throughout the trading session.
Adaptive Management: The script intelligently manages the lines. If price convincingly breaks through a key level (e.g., breaking above R1), the indicator may plot the next higher level (R2, R3) while removing a less relevant level on the opposite side of the market, keeping the chart clean and focused on the most pertinent zones.
________________________________________
Key Features & Benefits
• Saves Time: Get professional-level analysis instantly, eliminating the need for manual
line drawing.
• Removes Emotion: All levels are determined objectively by the algorithm, not by
subjective trader bias.
• Enhances Strategy: Provides clear visual cues for potential entry, exit, stop-loss, and
take-profit points.
• Fully Customizable: Tailor the indicator's behavior to match your specific trading style and
instrument volatility.
• Clean Visuals: Plots clear, labeled lines with customizable colors and width for an
uncluttered chart.
• Data Window Output: Displays the exact price value for each level in the Data Window,
enabling precise planning and alert setting.
________________________________________
Input Settings: Fine-Tune Your Levels
The indicator offers a comprehensive set of options for fine-tuning its behavior.
• Adjust Distance Between Lines (%): Controls the minimum percentage distance required
between consecutive S/R levels. A lower value plots more lines, while a higher value plots
fewer, more significant levels.
• Adjust Swing Level: This is the core sensitivity setting. A lower value finds more frequent,
minor pivots, while a higher value identifies major, more significant swings.
• Set Line Width: Adjust the visual thickness of the Support/Resistance lines.
• Show Label Side: Choose to place the level labels (e.g., "R1", "S2") on the "Left" or "Right"
side of the chart.
• Set Up Line Color: Customize the color for all Resistance (R) lines.
• Set Down Line Color: Customize the color for all Support (S) lines.
________________________________________
Limitations
• Repainting: While historical levels are fixed, the most recent pivots can change until a
new swing point is confirmed. This can cause the most recent plotted level to "repaint"
slightly.
• Timeframe Dependency: This indicator is optimized for intraday timeframes. Using it on
timeframes longer than 1D may not yield the intended results as the daily session break
logic is a core part of its function.
• No Predictive Power: The algorithm is based on past price action. It does not account for
future fundamentals, news events, or market-moving announcements.
RB — Rejection Blocks (Price Structure)This indicator detects and visualizes Rejection Blocks (RBs) using pure price action logic.
A bullish RB occurs when a down candle forms a lower low than both its neighbors. A bearish RB occurs when an up candle forms a higher high than both its neighbors.
Validated RBs are displayed as boxes, optional lines, or labels. Blocks are automatically removed when invalidated (price closes through them), keeping the chart uncluttered and focused.
How to use
• Apply on any timeframe, from intraday to higher timeframes.
• Watch how price reacts when revisiting RB zones.
• Treat these zones as contextual areas, not entry signals.
• Combine with your own trading methods for confirmation.
Originality
Unlike generic support/resistance tools, this indicator isolates a specific structural pattern (rejection blocks) and renders it visually on the chart. This selective focus allows traders to study structural reactions with more clarity and precision.
⚠️ Disclaimer: This is not a trading system or a signal provider. It is a visual analysis tool designed for structural and educational purposes.
Sequential Pattern Strength [QuantAlgo]🟢 Overview
The Sequential Pattern Strength indicator measures the power and sustainability of consecutive price movements by tracking unbroken sequences of up or down closes. It incorporates sequence quality assessment, price extension analysis, and automatic exhaustion detection to help traders identify when strong trends are losing momentum and approaching potential reversal or continuation points.
🟢 How It Works
The indicator's key insight lies in its sequential pattern tracking system, where pattern strength is measured by analyzing consecutive price movements and their sustainability:
if close > close
upSequence := upSequence + 1
downSequence := 0
else if close < close
downSequence := downSequence + 1
upSequence := 0
The system calculates sequence quality by measuring how "perfect" the consecutive moves are:
perfectMoves = math.max(upSequence, downSequence)
totalMoves = math.abs(bar_index - ta.valuewhen(upSequence == 1 or downSequence == 1, bar_index, 0))
sequenceQuality = totalMoves > 0 ? perfectMoves / totalMoves : 1.0
First, it tracks price extension from the sequence starting point:
priceExtension = (close - sequenceStartPrice) / sequenceStartPrice * 100
Then, pattern exhaustion is identified when sequences become overextended:
isExhausted = math.abs(currentSequence) >= maxSequence or
math.abs(priceExtension) > resetThreshold * math.abs(currentSequence)
Finally, the pattern strength combines sequence length, quality, and price movement with momentum enhancement:
patternStrength = currentSequence * sequenceQuality * (1 + math.abs(priceExtension) / 10)
enhancedSignal = patternStrength + momentum * 10
signal = ta.ema(enhancedSignal, smooth)
This creates a sequence-based momentum indicator that combines consecutive movement analysis with pattern sustainability assessment, providing traders with both directional signals and exhaustion insights for entry/exit timing.
🟢 Signal Interpretation
Positive Values (Above Zero): Sequential pattern strength indicating bullish momentum with consecutive upward price movements and sustained buying pressure = Long/Buy opportunities
Negative Values (Below Zero): Sequential pattern strength indicating bearish momentum with consecutive downward price movements and sustained selling pressure = Short/Sell opportunities
Zero Line Crosses: Pattern transitions between bullish and bearish regimes, indicating potential trend changes or momentum shifts when sequences break
Upper Threshold Zone: Area above maximum sequence threshold (2x maxSequence) indicating extremely strong bullish patterns approaching exhaustion levels
Lower Threshold Zone: Area below negative threshold (-2x maxSequence) indicating extremely strong bearish patterns approaching exhaustion levels
FibNexus [CHE]FibNexus — Auto-Fibonacci with Adaptive TrendLen + TFRSI Triggers
What it is.
FibNexus is a chart overlay that auto-anchors Fibonacci levels to the most relevant swing range without any manual timeframe picking. It does this by computing an adaptive trend length (“TrendLen”) from recent price behavior, then drawing retracements/extensions from the detected swing High/Low. A built-in TFRSI module adds LONG/SHORT triggers and ready-made alerts.
What makes FibNexus different (the TrendLen edge)
Most Fibonacci tools either (a) use fixed lookbacks or (b) force you to choose a higher reference timeframe (or a multiplier of it) and then place Fibs on those higher-TF swings. Your earlier Ultimate Fibonacci Trading Tool \ follows that higher-reference approach (auto TF, multiplier, or manual) and emphasizes custom level/label options. ( )
FibNexus flips that workflow:
* It doesn’t rely on a higher timeframe or a static lookback.
* Instead, it measures multiple window lengths inside the current chart timeframe and selects the one that best fits the data right now.
* From that data-driven window, it automatically finds the most recent swing high & low and draws the entire Fib stack from there.
* When the statistically “best” window changes, anchors update once, labels refresh cleanly, and then lines just extend to the right on each new bar.
Result: No more guesswork about “which timeframe or lookback should I use?”—FibNexus adapts the anchors to market conditions and keeps the drawing noise low.
How TrendLen works (transparent, deterministic)
1. Scan windows: The script evaluates a series of lookbacks (10, 20, …, 500 bars).
2. Score by correlation: For each window, it computes the correlation between price and its lagged version and picks the window with the highest correlation (the strongest, most self-consistent trend segment).
3. Anchor the swing: On a confirmed bar and only when TrendLen changes, it scans the last `TrendLen` bars to capture the highest high and lowest low and marks them with “X”.
4. Draw once, extend later: It deletes the old Fib objects, redraws the active levels from those anchors, and from then on extends the lines to the right as new bars print (no redraw spam).
This makes FibNexus responsive (it adapts when the structure shifts) and quiet (it doesn’t constantly repaint Fibs).
Fibonacci engine (levels, labels, direction)
* Retracements: 0.000 · 0.236 · 0.382 · 0.500 · 0.618 · 0.786 · 1.000
* Extensions: 1.618 · 2.618 · 3.618 · 4.236
* Label styles: *Default* (percent + price), *None*, *Percentage*, *Price*
* Label sizing: *tiny → huge*
* Bull/Bear context: Direction is inferred from mid-range positioning; prices are projected accordingly (retracement vs. extension math is handled for both cases).
* Selective toggles: You can show/hide any level and color it independently.
Momentum & signals (TFRSI module)
FibNexus embeds your TFRSI (“The Forbidden RSI \ ”) as the momentum/trigger layer. TFRSI is your open-source oscillator published on TradingView and designed for fast, normalized momentum readouts with customizable length/smoothing. ( )
* Defaults: `TFRSI length = 6`, `signal smoothing = 2`
* Triggers:
* LONG when TFRSI crosses up through the Long level (default 2.0)
* SHORT when TFRSI crosses down through the Short level (default 98.0)
* On-chart labels: Green LONG under the bar, red SHORT above the bar.
* Spam control: Keep only the N most recent labels to avoid clutter.
* Confirmed bars only: Signals/labels finalize at bar close to reduce flicker.
Alerts (ready for TradingView)
* LONG signal (TFRSI crossover)
* SHORT signal (TFRSI crossunder)
* TrendLen changed (anchors/Fibs recalculated)
* Price crossed a Fib level (any active level)
Use the provided `alertcondition(...)` entries in the TV dialog. Optionally enable instant `alert()` calls with verbose text (avoid duplicates if you also add alertconditions).
Typical use-cases & playbook
* Level reaction trading: In trends, watch 0.382 / 0.5 / 0.618 for reaction. A TFRSI up-cross near a retracement in an uptrend is a straightforward continuation setup; the opposite applies in downtrends.
* Breakout objectives: After clearing the 1.000 line (old swing), 1.618 is a common first extension target; beyond that, 2.618/3.618/4.236 map stretch objectives.
* Chop control: In range conditions, keep signals conservative (e.g., stick with the tight defaults 2.0/98.0 or raise thresholds). Always seek confluence (candlesticks, volume, HTF bias).
* Less micromanagement: You don’t need to babysit timeframe selection or anchors—TrendLen recomputes only when the data say so.
Inputs (by group)
* Core: TFRSI length & smoothing.
* Fibonacci Levels: Per-level toggles, numeric values, colors.
* Fibonacci Labels: Style (percentage/price/both/none) and size.
* Signals: Max number of visible LONG/SHORT labels (or 0 = off).
* TFRSI Trigger: Long/Short thresholds (defaults 2.0 / 98.0).
* Alerts: Master enable, per-event toggles, optional instant `alert()`.
Performance & UX
* Overlay indicator; efficient object handling.
* Clean redraw policy: Full re-draw only when TrendLen changes; otherwise Fibs extend horizontally.
* Clarity: Auto-marked swing anchors (“X”), configurable labels/colors.
Credits & references
* TFRSI – “The Forbidden RSI \ ” (open-source publication and description on TradingView). Used here as the momentum basis.
* “Ultimate Fibonacci Trading Tool \ ” (your earlier open-source tool on TradingView). Focuses on higher-reference timeframe selection (auto/multiplier/manual) and rich labeling controls; FibNexus replaces the fixed/higher-TF anchor logic with adaptive TrendLen in the current timeframe.
Risk disclaimer
This indicator is for educational/information purposes only and is not financial advice. No performance guarantees; past behavior does not predict future results. Trading involves substantial risk (including total loss). Always do your own research, test on demo, use risk management, and consult a licensed advisor where appropriate. Use at your own risk.
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.
Enhance your trading precision and confidence with FibNexus ! 🚀
Happy trading
Chervolino
Smart Structure Breaks & Order BlocksOverview (What it does)
The indicator “Smart Structure Breaks & Order Blocks” detects market structure using swing highs and lows, identifies Break of Structure (BOS) events, and automatically draws order blocks (OBs) from the origin candle. These zones extend to the right and change color/outline when mitigated or invalidated. By formalizing and automating part of discretionary analysis, it provides consistent zone recognition.
Main Components
Swing Detection: ta.pivothigh/ta.pivotlow identify confirmed swing points.
BOS Detection: Determines if the recent swing high/low is broken by close (strict mode) or crossover.
OB Creation: After a BOS, the opposite candle (bearish for bullish BOS, bullish for bearish BOS) is used to generate an order block zone.
Zone Management: Limits the number of zones, extends them to the right, and tracks tagged (mitigated) or invalidated states.
Input Parameters
Left/Right Pivot (default 6/6): Number of bars required on each side to confirm a swing. Higher values = smoother swings.
Max Zones (default 4): Maximum zones stored per direction (bull/bear). Oldest zones are overwritten.
Zone Confirmation Lookback (default 3): Ensures OB origin candle validity by checking recent highs/lows.
Show Swing Points (default ON): Displays triangles on swing highs/lows.
Require close for BOS? (default ON): Strict BOS (close required) vs loose BOS (line crossover).
Use candle body for zones (default OFF): Zones drawn from candle body (ON) or wick (OFF).
Signal Definition & Logic
Swing Updates: Latest confirmed pivots update lastHighLevel / lastLowLevel.
BOS (Break of Structure):
Bullish – close breaks last swing high.
Bearish – close breaks last swing low.
Only one valid BOS per swing (avoids duplicates).
OB Detection:
Bullish BOS → previous bearish candle with lowest low forms the OB.
Bearish BOS → previous bullish candle with highest high forms the OB.
Zones: Bull = green, Bear = red, semi-transparent, extended to the right.
Zone States:
Mitigated: Price touches the zone → border highlighted.
Invalidated:
Bull zone → close below → turns red.
Bear zone → close above → turns green.
Chart Appearance
Swing High: red triangle above bar
Swing Low: green triangle below bar
Bull OB: green zone (border highlighted on touch)
Bear OB: red zone (border highlighted on touch)
Invalid Zones: Bull zones turn reddish, Bear zones turn greenish
Practical Use (Trading Assistance)
Trend Following Entries: Buy pullbacks into green OBs in uptrends, sell rallies into red OBs in downtrends.
Focus on First Touch: First mitigation after BOS often has higher reaction probability.
Confluence: Combine with higher timeframe trend, volume, session levels, key price levels (previous highs/lows, VWAP, etc.).
Stops/Targets:
Bull – stop below zone, partial take profit at swing high or resistance.
Bear – stop above zone, partial take profit at swing low or support.
Parameter Tuning (per market/timeframe)
Pivot (6/6 → 4/4/8/8): Lower for scalping (3–5), medium for day trading (5–8), higher for swing trading (8–14). Increase to reduce noise.
Strict Break: ON to reduce false breaks in ranging markets; OFF for earlier signals.
Body Zones: ON for assets with long wicks, OFF for cleaner OBs in liquid instruments.
Zone Confirmation (default 3): Increase for stricter OB origin, fewer zones.
Max Zones (default 4 → 6–10): Increase for higher volatility, decrease to avoid clutter.
Strengths
Standardizes BOS and OB detection that is usually subjective.
Tracks mitigation and invalidation automatically.
Adaptable: allows body/wick zone switching for different instruments.
Limitations
Pivot-based: Signals appear only after pivots confirm (slight lag).
Zones reflect past balance: Can fail after new events (news, earnings, macro data).
Range-heavy markets: More false BOS; consider stricter settings.
Backtesting: This script is for drawing/visual aid; trading rules must be defined separately.
Workflow Example
Identify higher timeframe trend (4H/Daily).
On lower TF (15–60m), wait for BOS and new OB.
Enter on first mitigation with confirmation candle.
Stop beyond zone; targets based on R multiples and swing points.
FAQ
Q: Why are zones invalidated quickly?
A: Flow reversal after BOS. Adjust pivots higher, enable Strict mode, or switch to Body zones to reduce noise.
Q: What does “tagged” mean?
A: Price touched the zone once = mitigated. Implies some orders in that zone may have been filled.
Q: Body or Wick zones?
A: Wick zones are fine in clean markets. For volatile pairs with long wicks, body zones provide more realistic areas.
Customization Tips (Code perspective)
Zone storage: Currently ring buffer ((idx+1) % zoneLimit). Could prioritize keeping unmitigated zones.
Automated testing: Add strategy.entry/exit for rule-based backtests.
Multi-timeframe: Use request.security() for higher timeframe swings/BOS.
Visualization: Add labels for BOS bars, tag zones with IDs, count touches.
Summary
This indicator formalizes the cycle Swing → BOS → OB creation → Mitigation/Invalidation, providing consistent structure analysis and zone tracking. By tuning sensitivity and strictness, and combining with higher timeframe context, it enhances pullback/continuation trading setups. Always combine with proper risk management.
Clean Zone + SL/TP (Latest Only)📌 Description
Clean Zone + SL/TP (Latest Only) is an indicator designed to highlight the most recent supply or demand zone based on pivot highs/lows, and automatically plot entry, stop loss, and multiple take profit levels.
🔹 Automatic Direction Detection
The script can auto-detect trade direction (Long/Short) using pivot logic, or you can override manually.
🔹 Zone Drawing
Only the latest valid supply (red) or demand (green) zone is displayed.
Zones are extended to the right for a customizable number of bars.
🔹 Entry / SL / TP Levels
Entry, Stop Loss, and TP1/TP2/TP3 levels are plotted automatically.
Targets can be calculated either by zone size or by ATR-based multiples.
Risk/Reward ratios are fully adjustable.
🔹 Customizable Display
Toggle visibility for zones (box), entry/SL/TP lines, and price labels.
Labels show only on the latest bar for a clean chart look.
🎯 Use Case
This tool helps traders quickly identify the cleanest and most recent supply/demand setup and manage trades with predefined risk/reward targets. It’s especially useful for price action traders and those who prefer simple, uncluttered charts.
Artharjan Heiken Ashi Super TrendArtharjan Heiken Ashi SuperTrend (AHAST)
The Artharjan Heiken Ashi SuperTrend (AHAST) indicator is a refined version of the classic SuperTrend tool, designed for traders who wish to blend trend-following logic with the smoothing effects of Heiken Ashi candles. This script not only highlights market trends but also introduces multi-timeframe filtering, visual cues, and alerts for sharper decision-making.
🔑 Key Features
Heiken Ashi Integration
Option to calculate trends using standard candles or Heiken Ashi candles.
Provides smoother visualization, reducing noise.
Flexible ATR Calculation
Choose between RMA (default) and SMA for ATR computation.
Option to switch between traditional ATR and Heiken Ashi-based ATR.
Customizable Inputs
ATR length, multiplier factor, trend colors, and higher-timeframe filters are all user-configurable.
Debug mode available for internal verification.
Visual Enhancements
Dynamic background highlighting to clearly distinguish bullish vs bearish phases.
Fill plots that emphasize ongoing trends.
Buy and Sell signal markers with optional on/off toggle.
Multi-Timeframe (MTF) Filter
Fetches higher timeframe (e.g., Weekly) Heiken Ashi values.
Detects bullish and bearish flips on higher timeframe trends.
Overlay highlights to align lower timeframe trades with broader market direction.
Alerts & Automation
Alerts available for:
Buy / Sell triggers
Direction changes
Higher timeframe bullish or bearish flips
Compatible with TradingView alerts for automated workflows.
⚙️ How It Works
Core Trend Logic
The script calculates the median price of Heiken Ashi highs and lows.
SuperTrend bands (up and dn) are adjusted using ATR.
A bullish or bearish state is determined based on price closing above or below these bands.
Signal Generation
Buy Signal: Trend flips from bearish (-1) to bullish (+1).
Sell Signal: Trend flips from bullish (+1) to bearish (-1).
Signals can be plotted as circles, labels, or both depending on configuration.
MTF SuperTrend
Parallel SuperTrend calculation on a higher timeframe (user-selected).
Detects bullish flip (HTF ↑) or bearish flip (HTF ↓).
Highlights the chart background with higher timeframe color filters when enabled.
Debug Mode
Turns on background shading to indicate whether Heiken Ashi or regular candles are in use.
Helps verify internal logic for advanced users.
🎨 Visualization Example
Green Highlight / Fill → Active bullish trend
Red Highlight / Fill → Active bearish trend
Light Blue / Gray Highlights → Higher timeframe bullish / bearish alignment
Buy / Sell Labels → Clear entry or exit cues, aligned with the trend
🚨 Practical Usage
Swing Traders: Use higher timeframe filters (e.g., Weekly) to align intraday signals with broader market direction.
Intraday Traders: Focus on Heiken Ashi smoothing to avoid whipsaws in volatile sessions.
Options Traders: Combine bullish/bearish flips with option strategies (e.g., Calls/Puts) to gain directional exposure.
✅ Final Thoughts
The Artharjan Heiken Ashi SuperTrend (AHAST) is not just another SuperTrend indicator—it’s a versatile trading companion. By merging classic ATR-based logic with Heiken Ashi smoothing and multi-timeframe confirmation, this tool equips traders with early signals, trend clarity, and strong alignment across timeframes.
Use it with discipline, combine it with your trading framework, and let it sharpen your edge in the markets.
With Thanks,
Rrahul Desai
@Artharjan
Rolling Midpoints of Price vs 50% FibThis script overlays two complementary midpoint lines on your chart to reveal evolving bias, structural imbalances, and zones of mean reversion:
🔸 The Price Midpoint tracks a dynamic center based on the raw price range over a user-defined lookback.
🔸 The Fib Midpoint is calculated from the most recent confirmed swing high and low, forming a live 50% Fibonacci retracement — then smoothed for trend stability.
📘 What Is Mean Reversion, and Why Midpoints Matter?
Markets often oscillate between periods of trend and consolidation. Mean reversion refers to the tendency of price to return to a “fair value” after stretching too far in one direction. The Price Midpoint captures this range-based balance, while the Fib Midpoint anchors to structural swing levels. When price strays far from both, it may be overextended — setting the stage for pullbacks or reversion. When price hovers between or tests both midlines, it reflects balance or indecision. EquiZone helps visualize this dynamic, offering traders real-time insight into whether price is moving with strength, fading, or snapping back to equilibrium.
🔍 Concept Breakdown
➖Price Midpoint – A rolling midpoint between the highest high and lowest low over a user-defined lookback. Think of it as a range-weighted equilibrium.
➖Fib Midpoint – A dynamic 50% Fibonacci retracement between the most recent confirmed swing high and swing low (based on pivot logic), smoothed over time for stability.
➖Color-coded Fills & Bar Colors – Highlight confluence and divergence between the two midpoints, offering intuitive visual cues on trend alignment or structural disagreement.
🎯 Why It’s Useful
➖Spot consolidation zones and structural inflection points
➖Detect hidden divergence between price action and swing structure
➖Use midpoint alignment as a trend confirmation filter
➖Identify mean reversion setups when price strays too far from both midlines
➖Visualize market equilibrium across two complementary perspectives
⚙️ Customizable Features
➖Independent lookbacks for both midpoints
➖Toggle fill shading and adjust color schemes
➖Choose from multiple bar color modes (Close, HL2, OHLC3, OHLC4)
➖Control pivot sensitivity via left/right bar windows
➖Select pivot source: high, low, or close
🧠 How to Use
➖When Price Mid > Fib Mid, momentum may be outrunning structure → bullish extension
➖When Fib Mid > Price Mid, structure leads but price lags → bearish potential or fading momentum
➖When the two lines converge, it signals a zone of balance or potential breakout setup
➖Use bar colors to confirm whether price is leading or following structure
🔧 This isn’t just a visual overlay — it’s a structure-aware bias engine.
Best For:
📈 Trend-followers seeking confirmation between price action and structure
🔄 Reversal traders watching for midpoint divergence
📊 Range traders identifying dynamic fair-value zones
🔍 Price-action analysts who want a clean, non-lagging context layer
➡️ Built for clarity and speed, EquiZone adds zero clutter and works seamlessly across all timeframes and asset types. It pairs especially well with support/resistance zones, trendlines, Fibonacci ladders, and price action patterns.
📌 Final Note:
While Rolling Midpoints provides insight into market balance and directional bias, no single indicator should be traded in isolation. For best results, combine it with contextual tools such as trend structure, volume analysis, higher-timeframe mapping, and clear entry/exit frameworks. Use this as a bias confirmation tool, not a trigger by itself.
Cloud Craft SR [Volume Enhanced Edition]Cloud Craft SR - Advanced Support & Resistance System
Short Description:
Advanced cloud-based support & resistance indicator with volume analysis. Features dynamic zones, multi-timeframe analysis, and adaptive visual themes for different chart backgrounds.
Full Description:
Cloud Craft SR is an advanced support and resistance detection system that combines price action analysis with volume dynamics to identify high-probability trading zones.
🎯 Key Features:
Smart Zone Detection: Automatically identifies and ranks support/resistance zones based on historical price action
Volume Integration: Enhanced zone strength calculation using volume-weighted analysis
Multi-Timeframe Analysis: Configurable timeframe selection for deeper market structure analysis
Adaptive Visual Themes: Three color schemes optimized for white, black, and gray chart backgrounds
Dynamic Cloud Visualization: Visual representation of zone strength through opacity and border width
Real-Time Information Panel: Live zone data with volume rankings and strength metrics
Breakout Detection: Volume-confirmed breakout signals for enhanced reliability
📊 How Power & Volume Are Calculated:
Power Calculation:
Power represents the strength of each support/resistance zone based on:
Pivot Points: Number of price reversals at the zone (each pivot = 20 base points)
Touch Count: How many times price has tested the zone
Volume Weight: If volume analysis is enabled, zones with higher volume get multiplied strength
Example:
Zone has 3 pivot points = 60 base points
Price touched the zone 5 times = +5 points
Total base strength = 65
If volume at this zone is 1.5x average = 65 × 1.5 = 97.5 Power
Display Power = 97.5 ÷ 10 = 9.8 (shown as 10 in panel)
Volume Integration:
Collects volume data at each pivot point
Compares zone volume to average volume
Applies multiplier (default 1.5x) to strengthen high-volume zones
Volume Rank shows relative volume importance (⭐ to ⭐⭐⭐⭐⭐)
Visual Representation:
Higher Power = Thicker borders
Higher Volume = Less transparency (more solid appearance)
Top zones are displayed with strongest at top of panel
⚙️ Customization Options:
Cloud Timeframe (3min to Monthly)
Analysis Depth (100-500 bars)
Zone Sensitivity Control (2-12%)
Strength Filter Settings (min touches required)
Visual Style Selection
Volume Analysis Toggle
Panel Position & Theme
📈 How It Works:
The indicator analyzes historical price pivots to identify areas where price has repeatedly found support or resistance. These zones are then weighted by volume activity to determine their relative strength. Stronger zones appear more prominent visually, helping traders quickly identify key levels.
💡 Best Use Cases:
Identifying key support/resistance levels for entry/exit points
Confirming breakouts with volume analysis
Setting stop-loss and take-profit levels
Multi-timeframe confluence analysis
Risk management and position sizing
Default Settings Optimized For: 4H timeframe analysis with 250-bar lookback period
Why Protected Source?
This indicator uses proprietary algorithms for:
- Advanced pivot detection with volume weighting
- Dynamic zone strength calculation combining multiple factors
- Adaptive visual rendering based on volume and strength metrics
RS Alpha by The Noiseless TraderRS Alpha by The Noiseless Trader plots a clean, benchmark‑relative strength line for any symbol and (optionally) a mean line to assess trend and momentum in relative performance. It’s designed for uncluttered, professional RS analysis and works across any timeframe.
Compare any symbol vs a benchmark (default: NSE:NIFTY).
Optional log‑normalized RS for return‑aware comparisons.
Optional RS Mean with trend coloring (rising/falling).
Optional RS Trend zero‑line coloring based on short‑range slope.
Lightweight alerts for rising/falling RS mean.
Tip: Use RS to identify leaders (RS > 0 with rising mean) and laggards (RS < 0 with falling mean), then align setups with your price action rules.
Reading the indicator
Leadership: RS > 0 and RS Mean rising → outperformance vs benchmark.
Weakness: RS < 0 and RS Mean falling → underperformance vs benchmark.
Inflections: Watch RS crossing above/below its Mean for early shifts.
Zero‑line context: With RS Trend on, the zero line subtly reflects short‑term slope (green for positive, maroon for negative).
Alerts
Rising Strength – RS Mean turning/remaining upward.
Declining Strength – RS Mean turning/remaining downward.
(Use these as context; execute entries on your price‑action rules.)
Best practices
Pair RS with your trend/structure rules (e.g., higher highs + RS leadership).
For sectors/baskets, keep the Comparative Symbol consistent to rank peers.
Log‑normalized RS helps when comparing assets with very different volatilities or large base effects.
Test multiple length and Mean settings; 60 is a balanced default for swing/positional work.
Credits
Original concept & code: © bharatTrader
Modifications & refinements: The Noiseless Trader
Market Structures by The Noiseless TraderMarket Structure by The Noiseless Trader is an indicator that highlights simple candle-based market structure patterns: Market Structure Low (MSL) and Market Structure High (MSH) . It is designed to make these shifts visible directly on the chart.
Pattern Logic
MSL (Market Structure Low)
Candle 2: Bearish
Candle 1: Bearish, closing below Candle 2’s close
Candle 0: Bullish, closing above Candle 1’s open
Candle 0 must also have a minimum body size (default = 2%)
MSH (Market Structure High)
Candle 2: Bullish
Candle 1: Bullish, closing above Candle 2’s close
Candle 0: Bearish, closing below Candle 1’s open
Candle 0 must also have a minimum body size (default = 2%)
Features
Label plotting: When a pattern forms, the script places an “MSL” or “MSH” label slightly offset from Candle 0 so that the signal is visible but does not overlap the bar.
Bar coloring: Optionally, the script colors the signal candles for faster visual recognition (green for MSL, red for MSH).
Repaint protection : A setting allows the user to confirm signals only on bar close. This ensures the label does not disappear once plotted, though it delays the signal until the candle closes.
Customizable inputs: Users can set the minimum body size threshold (in % of price) and adjust the label offset distance to their preference.
Alerts: TradingView alerts can be created for both MSL and MSH events, making it possible to receive notifications when patterns appear.
How to Use
MSL labels mark potential swing lows where bearish pressure is followed by a bullish reversal.
MSH labels mark potential swing highs where bullish pressure is followed by a bearish reversal.
These patterns are most useful for studying shifts in short-term trend structure. Traders can monitor them as potential areas of interest, but they are not standalone entry or exit signals.
This indicator should be used as part of a broader trading framework. For example, some traders may combine MSL/MSH with trend filters, higher-timeframe analysis, or support/resistance zones or even classical pattern clubbed with MSL/MSH.
Notes
This tool highlights specific three-candle formations. It does not generate buy/sell recommendations.
It is intended for educational and analytical purposes only.
Past appearances of MSL or MSH patterns do not guarantee future performance.
Always confirm with your own market analysis before taking trading decisions.
Developed by The Noiseless Trader .
50% of Previous 1H Candle (Color Logic)📌 Script Title: 50% Midpoint of Previous 1H Candle (Color Coded)
📝 Description:
This indicator draws a horizontal line at the 50% (midpoint) of the most recently closed 1-hour candle, helping traders visualize intraday support/resistance and sentiment bias.
🔹 Key Features:
Plots the midpoint of the last 1H candle as a horizontal line.
Color-coded line and label:
🟢 Green: Previous candle was bullish
🔴 Red: Previous candle was bearish
⚪ Gray: Neutral (doji or equal open/close)
Displays the exact price level with a floating label.
Works on any lower timeframe chart (e.g., 5m, 15m, 30m).
Automatically updates every hour after the 1H candle closes.
📈 Use Cases:
Trade around the 1H midpoint as a dynamic pivot zone.
Confirm or fade price breakouts/rejections at this level.
Use it with trendlines, supply/demand zones, or VWAP.
🔍 Technical Notes:
The midpoint is calculated using:
Midpoint = (High + Low) / 2
from the most recent closed 1H candle.
Color logic is based on whether the 1H candle closed above or below its open.
🚀 Enhancement Ideas (future updates):
Add optional alerts on cross of the midpoint.
Show multiple historical midpoint levels.
Input toggle to enable/disable color coding.
Whether you’re scalping intraday or watching for reaction zones, this tool gives you a clean, real-time level to anchor your trades around.
Happy trading! 💹
— Built with ❤️ in Pine Script v6
Triple Tap Sniper Triple Tap Sniper v3 – EMA Retest Precision System
Triple Tap Sniper is a precision trading tool built around the 21, 34, and 55 EMAs, designed to capture high-probability retests after EMA crosses. Instead of chasing the first breakout candle, the system waits for the first pullback into the EMA21 after a trend-confirming cross — the spot where professional traders often enter.
🔑 Core Logic
EMA Alignment → Trend defined by EMA21 > EMA34 > EMA55 (bullish) or EMA21 < EMA34 < EMA55 (bearish).
Cross Detection → Signals are only armed after a fresh EMA cross.
Retest Entry → Buy/Sell signals fire only on the first retest of EMA21, with trend still intact.
Pro Filters →
📊 Higher Timeframe Confirmation: Aligns signals with larger trend.
📈 ATR Volatility Filter: Blocks weak signals in low-vol chop.
📏 EMA Spread Filter: Ignores tiny “fake crosses.”
🕯️ Price Action Filter: Requires a proper wick rejection for valid entries.
🚀 Why Use Triple Tap Sniper?
✅ Filters out most false signals from sideways markets.
✅ Focuses only on clean trend continuations after pullbacks.
✅ Beginner-friendly visuals (Buy/Sell labels) + alert-ready for automation.
✅ Flexible: works across multiple timeframes & asset classes (stocks, crypto, forex).
⚠️ Notes
This is a signal indicator, not a full strategy. For backtesting and optimization, convert to a strategy and adjust filters per market/timeframe.
No indicator guarantees profits — use with sound risk management.
