Stochastic Extreme Oscillator [MatrixQuantLabs]Stochastic Extreme Oscillator is an enhanced stochastic-based oscillator designed to highlight market extremes, momentum shifts, and potential reversal zones with improved visual clarity and signal filtering.
This indicator builds upon the classic Stochastic Oscillator by focusing on extreme zone behavior, peak & trough signals, and optional divergence detection, making it suitable for both discretionary and systematic traders.
Key Features
Extreme Zone Visualization
• Multi-level overbought (80–100) and oversold (0–20) zones with adaptive color intensity help assess the strength and risk level of market extremes at a glance.
Momentum-Aware Coloring
• The %D line dynamically changes color based on its position relative to the zero line, providing an intuitive view of bullish, neutral, and bearish momentum states.
Peak & Trough Signals
• Optional bullish and bearish signals are triggered only when %K / %D cross occurs inside extreme zones, helping filter out low-quality signals in mid-range conditions.
Regular Divergence Detection
• Built-in bullish and bearish divergence detection based on pivot structure, allowing early identification of potential trend reversals.
Clean & Focused Design
• The indicator emphasizes the %D line as the primary signal source, while %K is used internally for logic, keeping the chart uncluttered and easy to read.
Customization
• Adjustable %K / %D lengths and smoothing
• Toggle peak & trough signals on/off
• Optional divergence detection with configurable pivot sensitivity
• Designed to work across different markets and timeframes
Usage Notes
• Best used as a momentum and extreme-condition oscillator, not as a standalone trading system
• Signals are most effective when combined with trend context, price structure, or higher-timeframe analysis
• Divergence signals may appear with delay due to pivot confirmation logic
Disclaimer
This indicator is intended for educational and analytical purposes only and does not constitute financial advice. Always apply proper risk management and confirm signals with additional analysis.
Oscillators
[Gio Screener] Bias + Inflect (v2)In crypto BTC is king: when it moves, the market moves (most of the time).
In this screener, correlation and volatility are used as an advantage — at least we try.
This script is a benchmark-relative screener designed to quickly identify which assets are most interesting to trade when the market is moving, especially during high-volatility sessions.
The core idea is simple:
most assets behave like a beta of a benchmark (usually BTC). When the benchmark accelerates, correlated assets tend to follow — but with different strength, timing, and structure. This screener helps you exploit those differences.
What this screener does
For each symbol in the list, the script compares its behavior to a benchmark across two evaluation windows (LTF and HTF) and displays the results in a sortable table. It focuses on three main aspects:
- relative strength vs the benchmark
- correlation quality
- timing / inflection readiness
The goal is to quickly answer:
Which assets should I long or short when the benchmark dips or tops?
Main columns
Bias
Bias measures directional edge relative to the benchmark.
It combines:
- relative performance vs benchmark (HTF and LTF)
- higher-timeframe price change (structural trend)
Interpretation
- Positive Bias → better long candidates
-Negative Bias → better short candidates
Bias answers “what side should I prefer?”
Inflect (Inflection index)
Inflect measures how ready an asset is for a reversal or mean-reversion entry in the direction suggested by Bias.
It combines:
- oscillator stretch (overbought / oversold)
- oscillator turning (delta sign-hold)
- short-term pullback (anti-chase logic)
- volatility amplification (reward movers)
- correlation quality (prefer benchmark-aligned assets)
Inflect is a single numeric score, used both for:
- table reading and sorting
- actionable alerts
Interpretation:
- High positive Inflect → long-side inflection candidates
- High negative Inflect → short-side inflection candidates
Inflect answers “is this a good moment?”
Actionable logic (alerts-grade)
A symbol becomes actionable only when all of the following conditions are met:
- correlation with the benchmark is strong enough
- benchmark itself confirms the same direction (turning)
- Bias magnitude is large enough
- Inflect magnitude is large enough
- oscillator reached an extreme
- oscillator delta confirms the turn
When this happens, the Inflect cell is highlighted for a few bars so recent signals remain visible even after sorting.
How to use
Typical workflow:
- choose a benchmark (BTC, TOTAL, TOTAL3, etc.)
- set LTF / HTF evaluation windows
- sort by Bias to rank strong vs weak assets
- sort by Inflect to rank best timing opportunities
- focus on correlated, volatile assets during market moves
This screener is especially useful in high-volatility environments, when reversals and pullbacks offer better risk/reward.
Implementation notes
- Uses one request per symbol (efficient and stable)
- Calculations are independent from the chart symbol
- Rolling-window logic in chart bars (good trade-off between precision and performance)
Final note
This is not a signal generator by itself.
It is a decision-compression tool: it reduces a large universe into a short list of where and when to focus your attention.
Adaptive Strength Overlay (MTF) [BackQuant]Adaptive Strength Overlay (MTF)
A multi-timeframe RSI strength visualizer that projects oscillator “pressure” directly onto price using adaptive gradient fills between percent bands. Built to make strength, exhaustion, and regime context readable at a glance, without needing to stare at a separate oscillator panel.
Mean-Reversion mode example
What this indicator does
This indicator converts RSI strength into a chart overlay that reacts to momentum and extremes, then visualizes it as colored “pressure zones” around price.
Instead of plotting RSI in a sub-window, it:
Builds 1 to 3 symmetric percent bands above and below price.
Computes RSI strength on up to 3 different timeframes (MTF).
Smooths RSI with your selected moving average type.
Maps RSI values into discrete transparency “buckets”.
Fills between the bands with a gradient whose opacity reflects strength or exhaustion.
Displays a compact RSI table for all enabled timeframes.
Provides alert conditions for extremes and midline shifts on each timeframe.
The result is an overlay that looks like a dynamic envelope. When strength rises, the envelope “lights up” in the direction of the move. When strength becomes stretched, the outer zones become visually prominent.
Core idea: “Strength as an overlay”
RSI is normally interpreted in a separate oscillator panel. That makes context-switching slow:
You check price action.
You look down at RSI.
You mentally translate RSI into risk or trend bias.
This script removes that translation step by projecting strength directly onto the price area, using band fills as a visual language:
More visible fill = stronger strength or more extreme condition (depending on mode).
Less visible fill = weak strength or neutral state.
Two operating modes
1) Trend mode
Trend mode emphasizes strength aligned with direction:
When RSI is strong on the upside, upper bands become more visible.
When RSI is strong on the downside, lower bands become more visible.
Neutral RSI fades, so the chart de-clutters during chop.
Use Trend mode when:
You want a clean trend-following overlay.
You want to quickly see which timeframe(s) are powering the move.
You want to filter entries to moments when strength confirms direction.
2) Mean-Reversion mode
Mean-Reversion mode flips the emphasis to highlight exhaustion against the move :
Upper extremes become a “potential exhaustion” cue.
Lower extremes become a “potential exhaustion” cue.
The overlay is tuned to make stretched conditions obvious.
This is not an automatic “short overbought / long oversold” system. It is a visualization mode that makes “extended” conditions stand out faster, especially when multiple timeframes align.
How the bands work (Percent Bands)
The indicator constructs up to three symmetric envelopes around price:
Band 1: percent1 scaled by scale
Band 2: percent2 scaled by scale (optional)
Band 3: percent3 scaled by scale (optional)
The percent bands are simple deviations from the selected price source:
Upper = price * (1 + (percent * scaling)/100)
Lower = price * (1 - (percent * scaling)/100)
Why this matters:
It anchors “strength visualization” to meaningful price distance.
It makes the overlay comparable across assets because it’s percent-based.
It gives you a consistent spatial frame for reading momentum versus extension.
Multi-timeframe engine (MTF)
The script runs the same strength calculation on up to three timeframes:
Timeframe 1 uses the chart timeframe by default (empty string input).
Timeframe 2 is optional and defaults to Daily.
Timeframe 3 is optional and defaults to Weekly.
Each timeframe has:
Its own RSI period (len, len2, len3).
Its own smoothing length (slen, slen2, slen3).
The same smoothing type selection (EMA, HMA, etc).
This creates a layered view:
TF1 often reflects tactical pressure (entries/exits).
TF2 reflects structural pressure (swing context).
TF3 reflects macro bias (regime context).
When multiple timeframes agree, the fills stack and the overlay becomes visually louder. When they disagree, the overlay looks mixed or muted, which is exactly the point.
Smoothing options (why so many)
Raw RSI can be noisy. This script lets you smooth RSI with multiple MA types, which changes how “responsive” the overlay feels:
EMA/RMA smooth without lagging as hard as SMA.
HMA responds faster but can be twitchy.
LINREG can feel more “structural”.
ALMA and T3/TEMA provide heavier smoothing profiles with different lag characteristics.
This isn’t cosmetic. Your smoothing choice affects:
How early the overlay “lights up” in Trend mode.
How long extremes remain highlighted in Mean-Reversion mode.
How often fills flicker in chop.
Strength mapping (the transparency buckets)
Instead of mapping RSI to a continuous color scale, the script uses a discrete transparency ladder. That creates a clean, readable visual that avoids constant flickering.
The logic assigns two transparency values per timeframe:
Upper-side transparency responds to lower RSI zones (weak upside strength).
Lower-side transparency responds to higher RSI zones (strong upside strength).
Then the script uses those transparencies differently depending on mode:
Trend mode shows “strength aligned with direction”.
Mean-Reversion mode swaps the emphasis so “extremes” stand out as potential stretch.
You can think of it as:
Trend mode highlights continuation strength.
Mean-Reversion mode highlights potential exhaustion.
Fill stacking (how the overlay is built)
The overlay uses layered fills:
Fill from price to Band 1
Fill from Band 1 to Band 2 (if enabled)
Fill from Band 2 to Band 3 (if enabled)
Upper side uses the negative color (typically red) and lower side uses the positive color (typically green), because upper bands represent “above price” space and lower bands represent “below price” space. The intensity is controlled by the computed transparency per timeframe and selected mode.
Important behavior:
Disabling Band 2 or Band 3 can change how the stacked fills look, because you are removing fill segments.
If you want a clean look, run only Band 1.
If you want a “regime heat” look, run Bands 1–3 with higher scaling.
Table (MTF RSI dashboard)
A compact table prints RSI values for each configured timeframe:
Row labels show TF.
Values show the smoothed RSI output that drives the overlay.
Use it for quick confirmation:
If overlay looks strong but table RSI is neutral, your band settings might be too tight.
If TF3 RSI is extreme while TF1 is neutral, you are likely in a macro stretched regime with local consolidation.
Alerts (built-in)
Alerts are provided for each timeframe separately, covering:
Entering upper extreme (cross above 70)
Exiting upper extreme (cross below 70)
Entering lower extreme (cross below 30)
Exiting lower extreme (cross above 30)
Bullish midline cross (cross above 50)
Bearish midline cross (cross below 50)
This enables workflows like:
Notify when TF2 enters extreme, then wait for TF1 mean-reversion confirmation.
Notify when TF3 crosses midline, then only take TF1 trend setups in that direction.
How to use it (practical reads)
Trend mode reads
Strong continuation: TF1 and TF2 fills become clearly visible on the same side.
Healthy pullback: TF1 fades but TF2 stays visible, suggesting underlying structure remains strong.
Chop warning: fills alternate or remain mostly invisible, indicating neutral strength.
Mean-Reversion mode reads
Exhaustion zones: outer fills become prominent near the extremes, signaling stretched conditions.
Compression after extreme: fill fades while price stabilizes, suggesting “cooling off” rather than immediate reversal.
Multi-TF stretch: TF2 and TF3 extremes together often mark higher significance zones.
Recommended setup presets
Preset A: Clean trend overlay
Mode: Trend
Bands: only Band 1
Scale: 1–2
Smoothing: EMA, moderate slen (6–10)
TF2: Daily on intraday charts
Preset B: Regime and exhaustion mapper
Mode: Mean-Reversion
Bands: Bands 1–3
Scale: 2–4
Smoothing: T3 or RMA, slightly higher slen
TF2: Daily, TF3: Weekly
Limitations
This is a strength visualization tool, not a full entry/exit system.
Percent bands are not volatility-adjusted, they are distance frames. In very high vol conditions, you may need higher band percentages or higher scaling.
MTF values update on their own timeframe closes, so higher timeframes will step rather than update every bar.
Nexus Flow ProNexus Flow Pro is a trading tool that combines "deep trend insight" with "precise trading signals." It navigates trending waves and accurately displays reversal signals; it is one of the most logically sound and visually appealing oscillator indicators.
This indicator employs a "dual-engine" logic, isolating and layering market trends:
Primary Engine: Based on an enhanced T3 smoothing algorithm, it captures the market's medium- to long-term trends. Visually, it serves as the background of the main chart, providing clear trend guidance.
Secondary Engine: Responsible for fine-grained momentum filtering and crossover point identification. It displays intensely contested price points in a more compact and lightweight manner, combining this with the main trend guidance to identify correct trading opportunities.
Each dot represents a different voice in the market, used to observe market dynamics and identify genuine trading opportunities.
Use 【Advanced Dynamic RSI Pro】 to determine market depth and avoid making the wrong entry point.
RSI Divergence + RSI Indicator MegartCombined RSI Divergence Indicator and RSI.
Highlights important RSI levels 70–80–90 and 30–20–10.
All calculations are always based on standard Japanese candlesticks, even when used on other chart types.
S/R + RSI + EMA + Trend"Multi-functional All-in-One Indicator optimized for the Crypto market. The system combines 5 core components to identify precise entry and exit points:
* Trend: A zero-lag EMA algorithm integrated with Volatility Bands that dynamically changes the candle colors. This serves as the primary trend filter, helping traders ride long waves and eliminate sideways noise.
* Dynamic Support & Resistance: Automatically identifies key price reaction zones based on Pivot Points, featuring price labels and real-time distance percentages.
* Multi-Timeframe (MTF) RSI: An on-screen RSI dashboard tracking timeframes from 1-minute to 1-day, allowing for quick monitoring of market-wide overbought and oversold conditions.
* Classic EMA System: Includes 4 exponential moving averages (34, 89, 200, 633) acting as psychological levels and long-term trend bias.
* Auto-Trendlines: Automatically plots trendlines once new swing highs and lows are confirmed."
Skylark Digital Assets Monthly FLPSkylark Digital Assets’ Monthly Financial Liquidity Proxy (FLP) is a monthly, regime-focused macro indicator designed to summarize broad financial conditions into a single, stable signal.
This version is the core Monthly FLP only—intended for straightforward liquidity regime tracking—without the additional seasonal classification logic used in other variants.
What you see
Monthly FLP (confirmed): A consolidated monthly liquidity gauge that is held stable on intramonth bars to avoid “mid-month” distortions. The series is designed to reflect the underlying state of conditions at the monthly level rather than short-term noise.
Optional Monthly FLP EMA: A smoothing/trend filter that helps highlight structural shifts and reduces month-to-month volatility.
Midline reference: A neutral reference level for quick above/below regime interpretation.
How to use it
Macro regime context: Use the Monthly FLP as a higher-timeframe backdrop for understanding when conditions are broadly improving or tightening.
Cycle confirmation: The monthly timeframe reduces noise and is best suited for identifying longer-cycle transitions rather than short-term trades.
Asset overlays: Add the FLP to any chart (crypto, equities, FX, rates, commodities) to compare whether price is moving with or against the broader liquidity regime.
Notes
This script is intended for research and visualization. It is not a trading strategy and does not provide guaranteed signals. Always apply independent confirmation and risk management.
Advanced Dynamic RSI Pro40-60
Oscillation Phase: Market is in consolidation. Expect sideways movement with no clear trend.
>60
Bullish Signal: A breakout above 60 confirms upward momentum and trend strength.
<40
Bearish Signal: Dropping below 40 confirms a downward trend and selling pressure.
The depth of the MA (reaching levels above 70 or below 30) clearly visualizes extreme Overbought or Oversold market conditions.
Forward Money Index x Financial Liquidity Proxy Skylark Digital Assets Forward Money Index x Financial Liquidity Proxy is a two-layer liquidity dashboard designed to show broad, slow-moving liquidity conditions alongside a smoothed forward-conditions signal that can be shifted ahead in time for visual comparison.
At its core, the chart has three roles:
Baseline Liquidity Regime (FLP – Monthly, Confirmed)
The primary line represents a consolidated view of monthly liquidity conditions across a diversified set of markets. It’s constructed to behave like a regime gauge—rising during periods where financial conditions are broadly improving and falling during periods where conditions are tightening. Because it uses confirmed monthly values, it avoids the “mid-month repaint” effect and is intended to be interpreted as a stable, end-of-month state.
Trend Filter / Regime Smoother (FLP EMA)
The FLP EMA is a slower companion line that reduces month-to-month noise and helps define whether liquidity is structurally expanding or contracting. In practice, this line is the “signal stabilizer”: it makes longer-cycle transitions clearer, reduces overreaction to single-month spikes, and helps you distinguish between temporary wobble vs true regime shift.
Forward Conditions Overlay (Forward Money Index – Displayed as EMA3 & EMA6 only)
The forward overlay is intentionally not shown in its raw form. Instead, it is used internally and then displayed only through two smooth versions:
a short smoothing (3-month EMA), labeled as the “Forward Money Index (FMI)” in the settings, and
a medium smoothing (6-month EMA), shown as a dotted companion line.
This creates a clean “fast vs slow” forward-conditions pair. The short version reacts sooner and highlights turning points earlier; the longer version confirms whether the shift is persistent. When both are rising together, it suggests strengthening conditions; when the shorter line rolls over and converges down toward the longer line, it indicates that the impulse is fading even if conditions remain elevated.
Lead / Offset behavior (visual forecasting lens)
The FMI pair can be shifted forward by a chosen number of months, allowing you to compare whether shifts in forward conditions tend to precede changes in the broader liquidity proxy. This is not presented as a deterministic forecast; it’s a visual tool to examine phase relationships across cycles. Different environments can compress or expand lead times, so the offset is best treated as a “lens” rather than a fixed law.
Midline reference
A 50 midline provides a neutral reference level so both the proxy and the forward overlay can be interpreted in simple regime terms: above the midline generally corresponds to more favorable conditions, while below corresponds to tighter or weaker conditions.
Why the smoothing matters
By plotting only the 3M and 6M EMA versions of the forward signal, the indicator avoids overemphasizing short-term noise and instead focuses on structural turns—the part of the signal that tends to matter most for multi-month regime interpretation. This makes it useful for:
identifying early inflections that may precede broader liquidity shifts,
confirming whether changes are impulsive (fast line leading) or durable (both lines aligned), and
tracking the decay of an impulse when the fast line begins to fade toward the slow line.
Overall, the chart is meant to function as a monthly macro dashboard: FLP shows where broad liquidity conditions are now, FLP EMA shows the underlying trend regime, and the FMI EMA pair provides a smoothed forward-conditions overlay to help evaluate whether the next regime transition may already be forming.
RSI + MACD (RSI Divergence) V3.2
RSI + MACD (RSI Divergence)
This indicator combines RSI divergence detection with a scaled MACD overlay to help traders visualize momentum structure and divergence more clearly in a single pane.
Instead of using RSI and MACD as isolated signals, this script focuses on relative movement, swing structure, and divergence logic, making it especially useful for discretionary traders who analyze momentum behavior rather than fixed indicator levels.
________________________________________
Key Features
RSI Divergence Engine
• Detects Regular Bullish / Bearish Divergence
• Optional Hidden Divergence (for trend continuation)
• Uses confirmed pivot logic (left/right lookback) to avoid repainting
• Adjustable divergence range to filter weak or overly distant signals
RSI is shifted by -50 to center it around zero, allowing better visual alignment with MACD without affecting divergence logic.
________________________________________
Scaled MACD Overlay (Visual Momentum Only)
• MACD, Signal, and Histogram are rescaled dynamically to match the RSI oscillator range
• Designed for wave structure, phase comparison, and momentum timing
• Not intended as a traditional MACD signal generator
• Helps identify momentum agreement or disagreement with RSI divergence
________________________________________
Clean & Practical Design
• Single pane display (no chart clutter)
• Color warnings for RSI overbought / oversold zones
• Adjustable scaling lookback for different markets and timeframes
• Optimized for smooth performance and non-repainting behavior
________________________________________
How to Use
• Best used on indices, crypto, and liquid forex pairs
• Combine RSI divergence signals with:
o Market structure
o Support / resistance
o Trend context
• Use the MACD overlay to:
o Confirm momentum shifts
o Spot early loss of strength
o Compare oscillator phase alignment
This indicator is best suited for analysis and confirmation, not mechanical entry signals.
________________________________________
Notes
• MACD values are scaled for visualization only and do not represent real MACD values
• Divergence signals are confirmation-based, not predictive
• No repainting once pivots are confirmed
________________________________________
Who Is This For?
• Swing traders
• Momentum & divergence traders
• Traders who prefer structure-based confirmation over raw indicator signals
• Anyone who wants RSI & MACD behavior in a single, readable oscillator
Enjoy and happy trading!
DISCLAIMER
This script is intended for informational and educational purposes only. It does not constitute financial, investment, or trading advice. All trading decisions made based on its output are solely the responsibility of the user
LU+TLTraplight + Level Up — Dynamic Trading Indicator
Traplight + Level Up is a fully integrated dynamic trading script designed to help traders identify high-probability decision zones in real time. By merging the precision of Traplight with the structure of Level Up, this script delivers clear visual guidance for both trade entries and profit protection.
Key Features & Purpose
• Key Level Detection
Automatically highlights critical price levels where trades may be initiated or profits secured.
• Overbought & Oversold Conditions
Clearly discloses when an instrument is stretched beyond equilibrium, helping traders anticipate potential reversals or pullbacks.
• Advanced Cross Alerts
Provides real-time alerts for:
• Kriss Kross
• Golden Kriss
• Death Kross
These signals help traders recognize momentum shifts, trend confirmations, and possible trend exhaustion.
Designed for Clarity & Confidence
Traplight + Level Up removes guesswork by combining structure, momentum, and market condition awareness into a single dynamic script. Whether you are planning entries, managing open trades, or securing profits, this tool keeps your focus on what matters most: price behavior at key levels.
Monthly Financial Liquidity Proxy Seasons 2.0The Skylark Digital Assets Monthly Financial Liquidity Proxy (FLP) — Seasons 2.0 converts a long-horizon liquidity signal into a clean, regime-based seasonal map that helps identify where markets likely sit in the broader liquidity cycle.
Core signal: A monthly composite liquidity proxy, normalized so diverse markets can be combined into a single, comparable oscillator.
Smoothing layer: A 12-month EMA is used to reduce noise and emphasize durable regime shifts.
Season regimes (EMA-based):
Winter (Blue): EMA ≤ 49 → tighter liquidity / risk-off tendency.
Spring (Yellow): EMA 50–59 → improving liquidity / transition regime.
Summer (Green): EMA ≥ 60 → abundant liquidity / risk-on tendency.
Fall (Red): triggers on 3 consecutive declining EMA months, only if EMA is ≥ 50 → late-cycle cooling/rollover behavior.
Anti-“blip” logic (Seasons 2.0): A new season is only recognized after it persists for at least 3 months, filtering out 1-month regime flickers.
Visual backfill: Once a season is confirmed (month #3), the script visually backfills the prior months so the regime appears from the start of the run—without changing the underlying confirmation rule.
Net: Monthly FLP Seasons 2.0 is a cycle-context tool—built to highlight durable liquidity regimes and transitions, not to overreact to short-term noise.
Skylark Digital Assets Daily FLP SnapshotThe Skylark Digital Assets Daily Financial Liquidity Proxy (Daily FLP) is a snapshot-style indicator designed to track the market’s current liquidity tone using a single standardized daily reading.
What it measures: A daily composite “liquidity impulse”—whether conditions are broadly tightening or easing across key global risk and rate benchmarks.
How it’s built (high level): It blends multiple major markets into one equal-weighted composite, using a normalized momentum framework so very different assets can be compared on the same scale.
Why “snapshot-safe”: The daily value is computed as a stable daily print (one clean value per day), so it avoids noisy intraday flicker and stays consistent when viewed on different chart timeframes.
How to interpret it:
Higher readings generally align with easier financial conditions / risk-on regimes.
Lower readings generally align with tighter conditions / risk-off regimes.
The Daily FLP is most useful for regime context, not as a standalone trade trigger.
How it’s used: As a macro timing and risk-management overlay—a way to contextualize positioning, confirm broader market shifts, and monitor transitions from tightening to easing (and vice-versa).
BB + RSI Div + Volume + VWAP (4H Perp Short Alert) - SafeThis Indicator use Bollinger Band + RSI Div + Volumne + VWAP for shorting Mid and Small Cap token in 4H timeframe
RSI > 70 Buy / Exit on Cross Below 70This strategy buys when the RSI (Relative Strength Index) closes above 70, indicating strong market momentum. It closes the position as soon as the RSI crosses down and falls below 70, to secure profits before a possible reversal.
In summary:
Entry: RSI > 70
Exit: RSI crosses down below 70
It’s a momentum-based strategy that aims to take advantage of strong trends but exits as soon as the momentum weakens.
Project Pegasus SpectraProject Pegasus Spectra — Volume-Weighted Core is a dedicated pane-based indicator designed to visualize volume-derived buy/sell pressure, momentum states, and extreme flow events in a clean, professional layout. It translates standard OHLCV data into an orderflow-inspired structure using Pressure Candles, PA-FL Momentum (δ/ATR), an optional momentum heatmap, and optional context markers (Imbalance, Climax, Exhaustion).
The goal is not to generate trade signals, but to provide a stable, low-noise visual framework for understanding pressure, momentum, and intensity across different markets and volatility regimes.
Core Components
1) Pressure Candles (Synthetic Buy / Sell Pressure)
Spectra estimates buy and sell volume within each candle using a price-weighted volume distribution:
Buy volume ≈ volume × (close − low) / (high − low)
Sell volume ≈ volume × (high − close) / (high − low)
From this, synthetic pressure candles are constructed to highlight:
buy vs sell dominance within each bar
gradual pressure shifts
sudden pressure expansions or extremes
Pressure Style
Net – single candle showing net pressure (buy − sell)
Split Buy/Sell – buy pressure above zero, sell pressure below zero (clear dominance view)
Pressure Mode
Raw – fully reactive, unsmoothed pressure
Smooth body + raw wick – candle body is EMA-smoothed, while wicks preserve raw extremes
→ cleaner visuals without hiding pressure spikes
Visual Control
Multiple color presets (Match Palette, Neon, Ocean, Sunset, Classic, Midnight)
Optional fully custom colors
Independent body and wick transparency, allowing pressure to act as a subtle context layer rather than visual noise
2) PA-FL (Price-Adaptive Flow Line) Momentum — δ / ATR
PA-FL is the main flow engine of Spectra.
It computes a volume-adaptive baseline (EMA-style), optionally blended with VWAP, and measures momentum as baseline delta normalized by ATR.
Why δ / ATR?
Makes momentum comparable across:
different symbols
varying volatility regimes
different sessions and market conditions
PA-FL Features
Optional VWAP blend for session anchoring
Adaptive baseline length driven by relative volume
Optional Zero-Lag smoothing (ZLEMA) to reduce delay
Optional clamping to prevent rare spikes from dominating the scale
Visualization
Histogram + Line
Color intensity scales with |δ|
Optional regime tinting (trend vs range) for contextual awareness rather than hard signals
3) Momentum Heat Background (PA-FL Heatmap)
An optional background heatmap driven by |δ / ATR|.
Purpose:
Quickly visualize momentum intensity without reading exact values
Act as a situational backdrop, not a signal layer
Interpretation
Low heat → neutral / balanced phase
Rising heat → momentum expansion
Strong heat → impulse or extreme activity
Fully adjustable via:
minimum / maximum transparency
intensity scaling
gamma contrast
This allows anything from barely visible to clearly readable, depending on preference.
4) Display Normalization (Stable Axis)
When enabled, Pressure and Rolling Delta are normalized into a stable ±100-style range using percentile-based amplitude estimation plus a hard clamp.
Benefits:
consistent pane scaling across sessions and symbols
prevents single outlier bars from stretching the display
cleaner, professional multi-symbol workflows
Normalization affects display only, not internal calculations.
5) Rolling Delta (Optional Context)
An optional, subtle rolling delta line that shows cumulative pressure drift over a defined window.
The visibility scale affects display only and does not alter the underlying delta calculation.
Optional Context Markers (Sparse by Design)
Imbalance Dot
Marks bars where absolute delta exceeds a threshold:
automatic (average |Δ| × factor)
or manual (fixed value)
Use as a context alert, not a standalone entry trigger.
Climax Detector
Flags unusually large buy or sell volume relative to its average.
Typical use cases:
stop-run / liquidation-like activity
momentum kick-offs or exhaustion points
Exhaustion Filter
Combines:
high total volume relative to average
unusually small net delta
Often associated with absorption-like or exhaustion behavior, depending on market context.
Suggested Workflows
Clean Pro Layout
Pressure Candles ON with high transparency
PA-FL Histogram + Line ON
Heatmap ON (subtle)
Normalization ON
More Orderflow-Like Feel
Pressure Style: Split Buy/Sell
Smooth body + raw wick
Optional Climax markers
More Event-Focused Context
Enable Imbalance and Climax sparingly
Use Exhaustion only when specifically analyzing absorption behavior
Important Notes & Disclaimer
Spectra is based on OHLCV-derived volume estimation.
It is not true bid/ask delta, not footprint data, and not time & sales.
All markers and visual elements are informational, not trade signals.
Interpretation depends on symbol, timeframe, session, and data feed.
Always combine with market structure, levels, and risk management.
MTG v2MTG v2 is a complete trend-following trading system that combines:
PSAR (Parabolic SAR) - Trend direction
200 EMA - Trend direction
EMAs (5, 13, 50) - Momentum confirmation
AMA (Adaptive Moving Average) - Intelligent exits
Smart Filters - Volume, ATR, choppy market detection
Purpose: Catch strong trends early and ride them for maximum profit.
Quality-Controlled Trend Strategy v2 (Expectancy Focused)This script focuses on quality control rather than curve-fitting.
No repainting, no intrabar tricks, no fake equity curves.
It uses confirmed-bar entries, ATR-based risk, and clean trend logic so backtests reflect what could actually be traded live.
If you publish scripts, this is the minimum structure worth sharing.
Why this script exists
TradingView’s public scripts are flooded with:
repainting indicators
no stop-loss logic
curve-fit entries that collapse live
strategies that look good only in hindsight
This script is intentionally boring but honest.
No repainting.
No intrabar tricks.
No fake equity curves
The goal is quality control, not hype.
What this strategy enforces
✔ Confirmed bars only
✔ Single source of truth for indicators
✔ Fixed risk structure
✔ No signal repainting
✔ Clean exits with unique IDs
✔ Works on any liquid market
Trading Logic (simple & auditable)
Trend filter
EMA 50 vs EMA 200
Entry
Pullback to EMA 50
RSI confirms momentum (not oversold/overbought)
Risk
ATR-based stop
Fixed R:R
One position at a time
This is the minimum bar for a strategy to be considered publish-worthy.
Why this helps TradingView quality
Most low-value scripts fail because they:
hide repainting logic
skip exits entirely
use inconsistent calculations
rely on hindsight candles
This strategy forces discipline:
every signal is confirmed
every trade has defined risk
behavior is repeatable across symbols & timeframes
If more scripts followed this baseline, TradingView’s public library would be far more usable.
Stochastic MAs+ (K Logit Bands)Below is a ready-to-paste **English TradingView publish description** that is detailed enough to satisfy the “Originality & usefulness” and “Description” house-rule expectations. It explains **what is original**, **why the components are combined**, **how they work together**, and **how to use it**, including practical presets and cautions.
---
## Title
**Stochastic MAs+ (K Logit Bands) — Extreme-Zone Reversion with Adaptive Percentile Bands**
## Overview
This script is a **Stochastic-based extreme-zone tool** designed for traders who want signals that occur **near statistically-defined extremes**, while reducing noise and overtrading.
It combines three ideas into one coherent workflow:
1. **Stochastic %K/%D with selectable smoothing MAs** (EMA/ZEMA/SMA/KAMA)
2. **Adaptive Logit Percentile Bands** computed **on %K** (not price) to define “extreme” zones dynamically
3. A **two-step signal workflow** (Touch → Re-entry → First K/D Cross) with **cooldown + invalidation rules** to suppress repeated signals in choppy markets
This is not a “mashup for convenience.” The logit-percentile bands and the signal state-machine are explicitly built to **solve a common Stochastic problem**: fixed 20/80 levels are often too generic, and raw K/D crosses can fire repeatedly in ranges. The components here work together to make Stochastic extremes more **context-aware** and signals more **selective**.
---
## What makes it original / useful
### 1) Dynamic extremes based on the oscillator’s own distribution
Instead of using fixed 20/80, the script builds **percentile-based bands on transformed %K values**:
* **Logit transform** is used to expand sensitivity near 0 and 100 (where Stochastic tends to compress).
* A rolling buffer stores recent transformed values.
* **Percentiles** (e.g., 15% / 85%) define adaptive low/high bands that respond to changing volatility regimes.
Result: “Extreme” zones are **relative to recent market behavior**, which is often more practical than static thresholds.
### 2) A structured signal process to reduce overtrading
Classic Stochastic crossovers can spam signals. This script uses a **state-based trigger**:
**Long logic**
1. %K drops below the **adaptive low band** (touch/arm)
2. %K re-enters above the low band (re-entry)
3. The first bullish crossover occurs (K crosses above D) while K remains below the mid-band
**Short logic** is symmetrical.
Then it adds:
* **Cooldown**: prevents clustered entries during noisy periods
* **Max wait**: invalidates old setups if confirmation takes too long
* **Mid-band invalidation**: if K moves too far (crosses mid), the setup is considered late and discarded
This turns Stochastic into a **controlled mean-reversion trigger** rather than an always-on crossover machine.
---
## How it works (plain-language)
### A) Stochastic with selectable smoothing (MAK/MAD)
* `%K` is computed from the standard Stochastic formula, then smoothed with your chosen MA.
* `%D` is computed by smoothing `%K` with a chosen MA.
**MA options**
* **EMA**: baseline responsive smoothing
* **ZEMA**: reduced lag (faster reactions)
* **SMA**: heavier smoothing (less noise)
* **KAMA**: adaptive smoothing (reacts faster when price moves, slower in noise)
### B) K-based Logit Percentile Bands
The script builds bands from **%K**, not from price:
* Convert K into logit space → store in rolling buffer
* Compute low/high percentiles in logit space
* Convert back to 0–100 space with logistic function
* Produce: **kLo / kHi / kMid**
This keeps the bands stable and meaningful even when volatility changes.
### C) Signal state-machine
* **Touch**: K enters extreme zone
* **Re-entry**: K exits the extreme zone
* **Trigger**: first K/D cross after re-entry, while still in the “early” half of the band (before mid)
The idea is to catch reversals **early**, but not on the very first noisy bounce.
---
## How to use
### 1) Baseline setup (recommended starting point)
These defaults are already aligned with the script’s intent:
* Stoch: **21 / 3 / 7**
* Bands: **bandLen 200**, **low/high 0.15/0.85**, **logitGain 1.0**
* Signals: **cooldown 8**, **maxWait 24**, **Use D Direction Confirm ON**
This typically produces fewer, more selective signals than traditional 14/3/3 style settings.
### 2) Interpreting the plots
* **%K (purple)** and **%D (yellow)** are the smoothed oscillator lines.
* **kLo / kHi / kMid** are the adaptive bands.
* Labels:
* **“L”** appears near the low band when a long setup completes
* **“S”** appears near the high band when a short setup completes
### 3) Practical trading workflow
* Prefer using signals as **timing cues**, not as a complete strategy by themselves.
* Many traders combine this with:
* a trend filter (e.g., EMA200 direction)
* a volatility filter (avoid low-vol chop)
* or higher timeframe confirmation
The script is designed to give **high-quality entry timing near extremes**, but you still need a trade plan for exits and risk management.
---
## Tuning guide (fast)
### Want signals closer to extremes (more selective)?
* Decrease / increase percentiles:
* lowPct **0.12** and highPct **0.88**
* Increase logitGain slightly:
* logitGain **1.1–1.2**
* Increase cooldown:
* cooldown **10–14**
### Want earlier signals (faster confirmations)?
* Use faster MA for %D (or reduce periodD):
* maD = **ZEMA** (or EMA)
* Reduce cooldown a bit:
* cooldown **5–8**
### Getting too many signals in ranges?
* Increase periodK to reduce chop:
* periodK **34**
* Increase cooldown
* Keep D confirm enabled
---
## Strengths
* **Adaptive extreme zones**: bands adjust to changing regimes (better context than static 20/80)
* **Reduced noise**: the Touch→Re-entry→Cross structure avoids many “random” crosses
* **Configurable smoothing**: lets you tune response vs stability via MA type
* **Risk-friendly by design**: cooldown + invalidation reduce repeated entries during chop
## Limitations
* **Not a full strategy**: no position management, take-profit/stop rules, or trend filter included
* **Mean-reversion bias**: in strong trends, Stochastic can stay overbought/oversold for long periods
* **Band buffer needs history**: percentile bands are more reliable after enough bars have accumulated (bandLen)
---
## Notes on repainting / confirmations
* The percentile band buffer uses **confirmed bars** (optional) to avoid unstable band updates during an incomplete candle.
* Signal labels are plotted when the full signal conditions are met (you can enforce confirmed-bar signals via settings).
---
## Suggested disclaimer (TradingView-friendly)
This indicator is for research and educational purposes and does not constitute financial advice. Always test settings on your market/timeframe and use proper risk management.
CVD Oscillator ToolkitGENERAL OVERVIEW:
The CVD Oscillator Toolkit is a volume-driven market analysis indicator designed to highlight buying and selling pressure that is not directly visible through price alone. Price shows where the market traded, but volume imbalance helps explain who was in control. This indicator is built around Cumulative Volume Delta (CVD) and its related measurements to separate aggressive buying from aggressive selling, highlight volume behavior that develops independently of price movement, and expose divergence between price action and underlying volume imbalance behavior. Signals are derived from normalized and smoothed volume data rather than simple price-based conditions.
Unlike raw CVD plots, which often drift endlessly and become difficult to interpret across different symbols or sessions, the CVD Oscillator Toolkit normalizes and structures volume data into a stable oscillator format. This allows volume behavior to remain readable and comparable across different market conditions and instruments, without being distorted by session length or cumulative drift.
This indicator was developed by Flux Charts in collaboration with Chris Drysdale (Trader Drysdale), author of the best-selling book VWAP Wave System.
WHAT IS THE THEORY BEHIND THIS INDICATOR?:
The indicator is built on the idea price movement is driven by imbalance, not by candles alone. Every candle represents an interaction between buyers and sellers. While the direction of the candle shows which side gained ground, volume reveals the intensity of that effort.
The CVD Oscillator Toolkit reconstructs this interaction by estimating buying and selling pressure on each bar, accumulating that imbalance over time, and then normalizing the result so volume behavior can be compared meaningfully across different symbols, sessions, and timeframes. This volume behavior is further structured into directional, momentum, and divergence components, allowing buying and selling pressure to be analyzed from multiple perspectives.
Rather than treating volume as a secondary confirmation, the toolkit treats volume delta as the primary source of information, with price acting as a contextual reference. This approach is particularly useful in market conditions where price alone can be misleading. For example, during consolidations where volume pressure may be building beneath the surface, during extensions where price continues to make new highs or lows while buying or selling pressure weakens, or during breakouts that lack sustained volume support.
In many cases, shifts in buying and selling pressure can become visible through volume behavior before the price structure visibly updates. The indicator is designed to surface those changes without attempting to predict outcomes, allowing traders to interpret volume dynamics alongside their own price-based analysis.
CVD OSCILLATOR TOOLKIT FEATURES:
The CVD Oscillator Toolkit indicator includes 10 main features:
Delta Volume & CVD Core Engine
Normalized CVD Oscillator with Adaptive Coloring
CVD Cloud, Edges, Highlight Candles & Bands
Signals
CVD Divergence
Flow Behavior
Rate of Change (ROC) Momentum Meter
Advanced Visualization & Theme System
Input Settings
Alerts
DELTA VOLUME & CVD CORE ENGINE:
This feature forms the foundation of the entire indicator.
🔹Cumulative Volume Delta (CVD):
CVD is a measure of net buying and selling volume over time. It is built by estimating whether each candle’s traded volume was driven primarily by buyers or sellers, and then accumulating that imbalance across consecutive bars. When buy-dominant volume exceeds sell-dominant volume, CVD rises. When sell-dominant volume exceeds buy-dominant volume, CVD falls. Because TradingView does not provide true bid/ask volume data, the indicator infers participation (buyer vs seller activity) using price behavior within each bar. Each candle is evaluated to determine directional intent. Bars that close higher than they open, or otherwise show upward intent, are treated as buy-dominant, while bars that close lower, or show downward intent, are treated as sell-dominant. The candle's volume is then assigned a positive value when buy pressure dominates and a negative value when sell pressure dominates. By accumulating this signed volume, the engine produces a continuous measure of who is applying pressure, independent of candle size or price range. This allows delta volume strength to be analyzed separately from price movement itself. Throughout this indicator, “volume pressure” refers to the net effect of delta volume over time.
🔹How to interpret CVD
When CVD is rising, buying pressure is more aggressive than selling pressure. When CVD is falling, sellers are exerting greater control. Flat or sideways CVD behavior indicates balanced or uncertain buyer vs seller activity, where neither side is clearly dominant. One of the most important insights provided by CVD is its relationship to price. Price can continue rising even while CVD declines, suggesting weakening buying pressure and potential distribution. Conversely, price can fall while CVD rises, indicating absorption (where selling pressure is being met by opposing buy orders, limiting downside progress despite continued activity). These situations often reveal information that price alone does not clearly communicate. For this reason, CVD is especially useful during consolidations, false breakouts, liquidity sweeps, and late-stage trend conditions, where price action may appear convincing while delta volume tells a different story.
🔹Long-term vs short-term Volume calculation modes
The indicator supports two volume perspectives. In long-term accumulation mode, delta volume is accumulated continuously, providing a broader view of sustained buyer and seller control across sessions or trends. In short-term rolling window mode, delta volume is summed over a fixed rolling window to emphasize local momentum and short-term shifts in buying and selling pressure. Together, these modes allow the same core engine to be used for higher-timeframe bias analysis as well as intraday momentum and reversal observation, without changing the underlying logic.
🔹How is it calculated?
Each candle's volume is first evaluated based on price behavior to determine whether it is buy-weighted or sell-weighted. That signed volume is then processed in one of two ways, depending on the selected volume calculation mode. In long-term mode, delta volume is accumulated continuously to reflect a broader market pressure over time. In short-term mode, delta volume is summed over a rolling window to emphasize local momentum and shorter-horizon shifts. The resulting series forms the raw CVD, which is then used for normalization, smoothing, and signal generation. All calculations rely only on confirmed historical bars, ensuring consistency and non-repainting behavior.
🔹Delta Volume Histogram
In addition to the cumulative CVD calculation, the indicator includes an optional Delta Volume Histogram that displays raw buy/sell imbalance on a per-bar basis. This view highlights short-term volume bursts that may not be immediately reflected in cumulative behavior, such as sudden spikes in buying or selling pressure, absorption events, or volume surges that fail to produce meaningful price movement. Because raw delta volume can be noisy and highly sensitive to short-term fluctuations, the histogram is visually muted by default.
NORMALIZED CVD OSCILLATOR:
🔹What is normalization?
Normalization is the process of rescaling data so it can be interpreted consistently over time. In this indicator, normalization transforms accumulated volume delta into a stable oscillator that remains readable across different sessions, symbols, and market conditions.
🔹CVD normalization modes (Adaptive vs Relative)
The accumulated delta is normalized to create a stable, interpretable oscillator. This process reshapes volume pressure so it can be compared consistently over time, without changing how delta volume itself is calculated. In Adaptive mode, normalization responds to recent behavior, allowing the oscillator to self-scale as volatility and market conditions change. This keeps the reading responsive and readable across shifting environments. In Relative mode, normalization compares current CVD against a fixed historical reference, preserving proportional relationships in volume behavior and making extremes easier to compare over longer structural moves.
Normalization affects how CVD is interpreted and visualized, not how delta volume is calculated. In both modes, the same underlying volume logic is used; only the framing and scaling of that data changes.
The CVD Oscillator Toolkit presents normalized volume behavior as a bounded oscillator that preserves directional intent while preventing cumulative drift. Rather than emphasizing the absolute size of volume imbalance, the oscillator focuses on where current buying and selling pressure stands relative to recent behavior. This structure keeps volume pressure interpretable across different market conditions, allowing the oscillator to remain comparable across assets and timeframes.
🔹How to interpret the normalized CVD Oscillator
The oscillator revolves around a central equilibrium level, represented by the zero line. When the oscillator is above zero, net buying pressure dominates. When it is below zero, net selling pressure dominates. Transitions across the zero line indicate a shift in volume control rather than a price-based event. The depth of the oscillator's movement provides additional context. Shallow oscillations reflect weak or hesitant order-flow pressure, while deeper extensions suggest stronger conviction from one side of the market. Periods where the oscillator compresses near the zero line often indicate balance, absorption, or indecision between buyers and sellers. Because the oscillator is smoothed, it emphasizes sustained volume behavior rather than reacting to single-bar fluctuations or short-lived volume spikes.
🔹How is it calculated?
Raw Cumulative Volume Delta is first evaluated over a configurable lookback window to establish recent volume pressure behavior. A momentum-based normalization process is then applied to compress extreme values, preventing the oscillator from drifting or becoming distorted during high-volume periods. To further refine the signal, multiple smoothing passes are used to reduce noise while still preserving meaningful directional turns. The result is a stable oscillator centered around zero, designed to behave consistently across different symbols, sessions, and timeframes. This structure avoids infinite drift, minimizes session bias, and allows volume pressure dynamics to remain comparable across instruments without relying on fixed thresholds.
🔹Adaptive Coloring & Directional Gradients
The oscillator is not plotted as a static line or a simple histogram. Instead, it uses adaptive coloring to communicate both direction and intensity of volume pressure through visual cues. Rather than relying on binary green/red coloring, the indicator applies smooth gradient transitions, strength-weighted opacity, and direction-aware color logic to reflect how volume pressure evolves. This visual design allows changes in volume behavior, such as acceleration, deceleration, or momentum fatigue, to be identified quickly without requiring precise numerical interpretation. Color intensity increases as pressure strengthens and fades as pressure weakens, helping maintain situational awareness even during fast-moving conditions.
🔹How to interpret the coloring
The oscillator uses momentum-based coloring to reflect changes in volume pressure strength and direction. Colors respond to acceleration and deceleration in volume pressure rather than simple position alone. Brighter, more saturated colors indicate stronger momentum and expanding buying or selling pressure, while muted or fading colors reflect slowing momentum and weakening pressure. The coloring does not generate signals and should be read as visual context that complements the oscillator’s structure, helping identify momentum shifts, continuation, and exhaustion at a glance.
CVD EDGES, CLOUDS & HIGHLIGHT CANDLES:
🔹CVD Edges
This feature adds a thin directional outline around the oscillator body, designed to emphasize the current directional volume bias without overpowering the main visual structure. The edge acts as a subtle visual guide, reinforcing directional dominance while keeping the focus on the oscillator itself. By separating the outline from the oscillator's fill or columns, CVD Edges make directional bias easier to identify at a glance, particularly in situations where histogram columns overlap or visual density increases. This feature is intended to enhance readability and orientation, not to introduce additional signals or conditions.
🔹CVD Clouds
CVD Clouds add a soft envelope above and below the oscillator to provide visual context around volume behavior. These clouds represent upper and lower volume pressure zones derived from the oscillator, helping frame how volume pressure expands or contracts around the core signal. When the cloud expands, it reflects increasing volume commitment and stronger involvement from one side of the market. When the cloud compresses, it indicates diminishing conviction and reduced pressure intensity. A flip in the cloud structure reflects a change in volume control rather than a price-based event. CVD Clouds are designed to provide context, not signals. They help answer a simple but important question: Is the current move supported by volume effort, or is pressure fading beneath the surface?
🔹Highlight Candles
Instead of rendering the oscillator as a simple line or histogram, this feature displays it using candle-style bodies. Each oscillator candle visually represents the underlying volume behavior, conveying direction, strength, and momentum continuity in a format that closely resembles price action. Larger candle bodies indicate stronger and more sustained volume pressure, while smaller bodies reflect indecision, balance, or transitional phases. Sequences of candles with consistent coloring help visualize directional continuity in pressure flow, making it easier to distinguish persistent pressure from short-lived fluctuations.
🔹Upper / Lower Bands
The Upper and Lower Bands are simple visual background guides drawn above and below the oscillator. They do not generate signals, thresholds, or analytical conditions. Their only purpose is to make the current CVD state easier to read at a glance. When the oscillator is above zero, the upper band is highlighted to reflect bullish volume pressure. When it is below zero, the lower band is highlighted to reflect bearish volume pressure. The inactive side remains muted. These bands do not represent overbought or oversold conditions and should not be used for entries or exits. They exist purely to improve orientation and reduce visual effort when reading the oscillator.
SIGNALS:
The indicator includes an optional signal system designed to respond to changes in volume pressure, rather than relying solely on price-based conditions such as moving-average crossovers. Signals are generated based on defined CVD behavior and volume flow logic, allowing volume dynamics to be evaluated directly instead of inferred from price alone. Signals can be displayed directly within the oscillator pane, overlaid on the main price chart, or shown in both locations simultaneously. In this indicator, directional momentum refers to the direction and slope of the normalized CVD oscillator itself, not price momentum. A change in directional momentum occurs when the CVD oscillator shifts from rising to falling, or from falling to rising.
🔹Signal modes
The indicator supports two independent signal philosophies, selectable by the user. Each mode interprets volume pressure changes differently and is suited to different market conditions.
◇ Zero-Line State Shifts
In this mode, signals are generated when the normalized CVD oscillator crosses its central equilibrium level. A cross above the zero line represents a transition from net selling pressure to net buying pressure, while a cross below zero represents a transition from net buying pressure to net selling pressure. From an interpretive standpoint, a bullish signal indicates that buying volume pressure has become dominant, while a bearish signal indicates that selling volume pressure has taken control. These signals are most useful during transitions in market behavior, such as when markets move from consolidation into expansion or when price structure begins to compress ahead of a directional move. Rather than reacting to price structure alone, this mode highlights shifts in buying and selling pressure derived directly from volume behavior
◇ Directional Momentum & Thresholds
Instead of waiting for the CVD oscillator to cross the zero line, this mode generates signals when there is a switch in directional momentum. A directional switch occurs when the CVD oscillator’s momentum has been moving in one direction and then turns to move in the opposite direction. Every signal in this mode begins with a confirmed change in direction. Because directional momentum can flip frequently, especially during ranging or low-conviction conditions, this mode incorporates user-defined thresholds to control which direction changes are allowed to generate signals. The thresholds act as a filter, ensuring that only momentum reversals occurring from a sufficient depth are considered, while shallow or minor flips are ignored.
🔹How it works:
For a bullish signal to be generated, two conditions must be met. First, the CVD oscillator must be below the user-defined bullish threshold. Second, directional momentum must switch from downward to upward. Only when both conditions occur together is a bullish signal produced. If momentum turns upward while the oscillator is above the bullish threshold, no signal is generated. The same logic applies on the bearish side. A bearish signal requires the oscillator to be above the bearish threshold and directional momentum to switch from upward to downward. Momentum reversals that occur closer to equilibrium are filtered out.
🔹How to interpret signals
A bullish signal below zero indicates that directional momentum has switched from bearish to bullish and that the reversal occurred below the bullish threshold. A bearish signal above zero indicates that directional momentum has switched from bullish to bearish and that the reversal occurred above the bearish threshold. In both cases, the signal simply means that direction changed and the threshold filter was satisfied. The mode does not attempt to predict outcomes or replace price-based confirmation, but instead highlights filtered momentum shifts in volume behavior.
CVD DIVERGENCE:
The divergence detection feature identifies situations where price continues to push toward new extremes while volume pressure weakens or moves in the opposite direction. This behavior often reflects absorption, distribution, or exhaustion that is not immediately obvious from price action alone.
🔹Types of divergences
Bearish divergence occurs when the price pushes higher, but CVD fails to confirm the move or forms a lower high, indicating weakening buying pressure behind the advance. Bullish divergence occurs when price pushes lower while CVD fails to confirm or forms a higher low, suggesting that selling pressure is losing strength. Divergences are evaluated only near meaningful swing points and after confirmation. This filtering helps reduce noise and avoids highlighting minor or premature divergence conditions.
🔹How to interpret divergences
Divergences can indicate that momentum may be weakening, control between buyers and sellers may be shifting, or that the risk–reward profile of the current move is changing. Divergences provide insight into underlying volume behavior but do not replace confirmation from price.
🔹Swing reference source
The indicator allows divergence detection to be anchored to either volume structure (CVD swings) or price structure (price swings). This distinction matters because CVD and price often pivot at different times. Anchoring divergences to the wrong structure can produce misleading results. By allowing the user to choose the reference source, the divergence system adapts more effectively to trending conditions, mean-reverting environments, and periods of elevated volatility.
🔹How divergences are calculated
The indicator identifies significant swing points and compares the relationship between price behavior and CVD behavior at those locations. Divergence conditions are validated before being displayed, and only confirmed divergences are plotted. To prevent clutter, only the most recent divergences are shown on the chart. Older divergence markings are automatically removed as new ones form.
🔹Main chart synchronization
The indicator allows divergences and signals to be displayed either within the oscillator pane or directly on the main price chart. Using the oscillator-only view is well-suited for volume behavior analysis and directional bias, while displaying signals and divergences on the main chart provides a clearer execution context alongside price structure. This ensures that volume insights can be adapted to different workflows without changing the underlying logic.
FLOW BEHAVIOR:
This feature group highlights situations where price behavior and CVD behavior begin to separate, without relying on traditional swing-point divergence logic.
🔹Absorption
Absorption highlights candles where price continues to advance or decline while CVD pressure moves against that direction. In simple terms, absorption reflects situations where aggressive buying or selling is being met and absorbed by opposing volume, preventing volume pressure from confirming the price move.
This behavior often appears:
During late-stage trends
Near range boundaries
Around liquidity-driven extensions
Absorption highlights do not predict reversals. They provide context when volume pressure is no longer aligned with price movement. Absorption is identified through disagreement between price progression and CVD behavior, not by raw volume spikes alone.
🔹Directional Divergence
Directional Divergence identifies moments where price continues to extend in one direction while CVD momentum shifts or weakens in the opposite direction. Unlike classic divergence tools, this behavior does not require confirmed swing highs or lows. It focuses purely on directional disagreement between price and volume pressure, allowing early detection of weakening moves or hidden opposition beneath continued price expansion. Directional Divergence focuses on ongoing disagreement without swing confirmation, while CVD Divergence evaluates confirmed swing-based divergence.
🔹Directional Anchor Price
An optional directional anchor line can be plotted to mark the price level at the bar where CVD last changed direction. This level serves as a visual reference, allowing traders to observe how the price behaves after a shift in the underlying CVD direction, without introducing new signals or conditions. These tools are designed to complement the core oscillator by visually exposing price–volume disagreement.
RATE OF CHANGE (ROC) MOMENTUM METER:
The Rate of Change (ROC) Momentum Meter measures how quickly the CVD oscillator itself is accelerating or decelerating. While the oscillator describes directional volume pressure, the ROC Meter focuses on a different dimension: whether volume pressure is gaining speed or losing momentum. This distinction is important because directional pressure and momentum strength do not always change at the same time. Trends can lose momentum without immediately reversing direction, and volume shifts often begin with changes in acceleration rather than visible price structure breaks. The ROC Meter is designed to surface those changes in volume momentum without replacing the oscillator's directional context.
🔹How to interpret the ROC Meter
The ROC Meter is displayed as a vertical gradient bar positioned alongside the oscillator pane. It is intentionally placed in the periphery to provide continuous momentum awareness without interfering with price action or the oscillator itself. A dynamic label marks the current ROC position, allowing quick reference without drawing focus away from the main analysis. When the ROC reading is positioned higher on the meter, volume acceleration is stronger. When it is positioned lower, acceleration is weaker. Readings near the center indicate balanced conditions. Sustained high ROC readings often accompany strong trends, reflecting continued acceleration in volume pressure. As momentum fades, ROC readings contract, indicating slowing acceleration even if directional pressure has not yet reversed.
🔹How ROC is calculated
The oscillator's rate of change is measured over a short lookback period and then normalized to prevent extreme spikes. The resulting values are mapped to a bounded vertical scale, ensuring the meter remains stable, comparable across assets, and resistant to distortion during periods of elevated volatility.
COLOR THEMES & VISUAL ADAPTABILITY:
The indicator includes multiple built-in color themes. Themes can be adjusted to suit dark or light chart backgrounds, varying screen brightness levels, and long trading sessions where visual comfort becomes important. Each theme affects key visual elements such as bullish and bearish colors, gradient intensity, cloud opacity, and overall contrast.
Users can choose between the following color themes:
Default
Bright
Sunset
Aqua
🔹MODULAR VISUAL CONTROLS
Every major visual component of the indicator can be enabled or disabled independently, allowing users to tailor the display to their preferred workflow and level of detail. This includes elements such as the delta histogram, oscillator columns, highlight candles, edges, clouds, upper / lower bands, the ROC Momentum Meter, and threshold reference lines.
INPUTS:
🔹CVD Normalization Mode
Selects how CVD is normalized into the oscillator: Adaptive adjusts dynamically to recent behavior, while Relative emphasizes volume pressure relative to recent extremes.
🔹Volume Calculation
Long-term mode accumulates volume pressure continuously for broader bias and structure.
Short-term mode uses a rolling window to emphasize local momentum and intraday shifts.
🔹 Delta Volume Display
The Delta Volume Histogram toggles the display of per-bar buy and sell imbalance to provide more granular insight into short-term volume behavior. Bullish and bearish delta colors can be customized to improve visibility and contrast based on personal preference or chart theme.
🔹 CVD Oscillator Display
These settings control how the normalized CVD oscillator is displayed. CVD Columns enable or disable the main oscillator body, while Adaptive Coloring automatically adjusts colors based on direction and volume strength. Color Themes provide preset visual styles designed for different lighting conditions and extended viewing sessions.
🔹 Visual Enhancements
◇ CVD Highlight Candles
Displays oscillator movement using candle-style bodies for intuitive reading.
◇ CVD Edges
Thin outlines that emphasize directional volume bias.
◇ CVD Cloud
Shows volume envelopes and expansion or contraction in volume pressure.
◇ Upper / Lower Bands
Provides directional background context relative to equilibrium.
🔹 Rate of Change (ROC) Meter
The ROC Meter toggle enables the vertical ROC Momentum Meter, and the ROC Color option allows users to select the meter’s color to suit visibility and chart contrast.
🔹 Flow Behavior
Controls visual cues that highlight price and CVD behavior when direction and volume pressure begin to diverge.
◇ Highlight Absorption Candles
Marks candles where price continues to move while CVD pressure shifts in the opposite direction, indicating potential absorption of aggressive buying or selling.
◇ Main Chart
Displays absorption highlights directly on the main price chart for execution-focused workflows.
◇ Directional Divergence
Highlights directional disagreement between price movement and CVD momentum without requiring traditional swing-point divergence.
🔹 Divergences
Controls divergence detection and display.
◇ Enable Divergences
Master toggle for all divergence logic.
◇ Display Location
Divergences can be shown in the oscillator pane, on the main chart, or both.
◇ Swing Reference Source
Anchor divergence detection to either CVD structure or price structure.
◇ Swing Length
Adjusts divergence sensitivity. Shorter lengths increase frequency and noise, while longer lengths produce fewer, more selective divergences.
◇ Plot Directional Anchor Price
Plots the price level where CVD last changed direction, providing a visual reference to observe how price behaves after a CVD directional shift.
🔹 Signals
Controls signal generation and display.
◇ Enable Signals
Turns signal logic on or off.
◇ Signal Display Location
Signals can be shown in the oscillator pane, on the main price chart, or both.
◇ Signal Logic Mode
Choose between zero-line state shifts or directional momentum thresholds.
◇ Threshold Visibility
Optional dashed reference levels for transparency when using threshold-based signals.
ALERTS:
The CVD Oscillator Toolkit includes full alert functionality using AnyAlert(), allowing users to receive notifications in real time for all major model components and signal events.
Users can enable or disable each alert type in the “Alerts” section of the settings. After selecting which alerts they want active, they can create a single TradingView alert using the AnyAlert() condition. All alerts are triggered only after confirmation, not on provisional or forming conditions.
Available Alerts:
Bullish Crossover
Bearish Crossover
Bullish Divergence
Bearish Divergence
How to Receive Alerts:
Open the TradingView alert creation window.
Select the CVD Oscillator Toolkit indicator as the alert condition.
Choose AnyAlert() from the condition dropdown.
Create the alert.
UNIQUENESS:
The CVD Oscillator Toolkit focuses on identifying volume-driven behavior rather than simply plotting cumulative volume. In addition to normalized CVD, it highlights absorption candles, directional divergences, directional anchor price levels, and a Rate of Change (ROC) momentum meter that tracks acceleration and deceleration in volume pressure. Together, these components expose situations where price continues in one direction while volume pressure weakens, stalls, or reverses beneath the surface. The toolkit emphasizes interpretation over signal quantity, structuring volume behavior into momentum, divergence, and flow-based components that complement price analysis without attempting to replace it.
Goldilocks Pivot FractalsGOLDILOCKS PIVOT FRACTALS - DESCRIPTION
Overview
Goldilocks Pivot Fractals identifies swing highs and lows using fractal pattern recognition with professional visual presentation. This indicator marks potential reversal points where price creates distinct peaks and valleys - perfect pivot points for support, resistance, and market structure analysis.
The "Goldilocks" name reflects the perfectly balanced visual presentation: not too cluttered, not too plain, just right for professional traders. Unlike standard fractal indicators, this edition features fully customizable Buy/Sell labels with tick-based positioning, independent toggle controls, and a high-contrast color scheme optimized for both dark and light chart themes.
What Makes It Unique:
- Professional label system with full customization (colors, sizes, tick-based offsets)
- Toggle labels and arrow shapes independently
- High-contrast default colors (teal/maroon) optimized for maximum visibility
- Clean, trader-friendly interface with intuitive settings
- Works flawlessly on all timeframes and instruments
How to Use
PERIOD ADJUSTMENT & ADJUSTING SENSITIVITY
The Period(s) setting controls how many signals you see:
• Period = 2 (default): Shows more signals, catches smaller price swings - best for day trading and scalping
• Period = 3-4: Shows medium amount of signals, filters out tiny moves - good for swing trading (holding days to weeks)
• Period = 5 or higher: Shows fewer signals, only the biggest turning points - best for long-term position trading
- Simple rule: Lower number = more signals. Higher number = fewer, but stronger signals.
SIGNALS
🟢 "BUY Label" (Down Fractal)
- Marks swing lows and potential support zones
- Look for price bouncing up after the fractal forms
- Use for identifying pullback entry points in uptrends
- Place stops below recent BUY fractals
🔴 "SELL Label" (Up Fractal)
- Marks swing highs and potential resistance zones
- Look for price rejecting down after the fractal forms
- Use for identifying profit targets or short entries
- Place stops above recent SELL fractals
REPAINTING BEHAVIOR
⚠️ This indicator repaints by design. Fractals require N bars on both sides to confirm, so they appear N bars after the actual pivot point. This is normal and ensures accurate pivot identification. Wait for complete confirmation before trading.
TRADING APPLICATIONS
1. Support/Resistance: Mark key price levels for entries and exits
2. Market Structure: higher BUY fractals = uptrend, lower SELL fractals = downtrend
3. Stop Placement: Use recent fractals as logical stop-loss levels
4. Breakout Trading: Monitor price breaking above/below fractal levels
5. Trend Following: Enter on pullbacks to BUY fractals in uptrends
6. Swing Trading: Identify major swing points for position entries
CUSTOMIZATION OPTIONS
• Show BUY/SELL Labels**: Toggle professional text labels on/off
• Show Shapes: Toggle arrow shapes independently
• Offset (ticks): Adjust label distance from price bars for perfect positioning
• Colors: Customize backgrounds (default: teal/maroon) and text (default: white/yellow)
• Label Size: Choose from tiny, small, normal, large, or huge
The high-contrast default colors provide excellent visibility without adjustment, but full customization is available to match any chart theme.
Key Settings
Periods (n) (default: 2): Number of bars on each side of pivot. Lower = more signals, Higher = fewer, stronger signals
Show BUY/SELL Labels (default: ON): Display professional text labels
Show Shapes (default: ON): Display arrow shapes
BUY offset (ticks) (default: 8): Distance BUY labels appear below lows
SELL offset (ticks) (default: 8): Distance SELL labels appear above highs
Colors: Full customization - defaults optimized for visibility
Label size (default: normal): Visual prominence control
Key Features
✅ Professional pivot fractal detection
✅ Fully customizable Buy/Sell labels
✅ Independent toggle for labels and shapes
✅ Tick-based offset positioning
✅ High-contrast color scheme
✅ Works on all timeframes and instruments
✅ Clean, intuitive interface
✅ Adjustable sensitivity
✅ Perfect for support/resistance identification
✅ Ideal for market structure analysis
IronRod Trigger SystemIRONROD TRIGGER SYSTEM
DESCRIPTION
IronRod Trigger System is a momentum oscillator based on the Stochastic Momentum Index (SMI) that identifies trend changes, momentum shifts, and range-bound "chop" zones. Features color-changing SMI lines, histogram columns showing momentum strength, and a visual chop zone that highlights when to trade versus when to stay on the sidelines.
The system combines momentum direction (green/red lines), momentum strength (histogram columns), and market context (chop zone cloud) into one clean visual package. The dynamic zero line changes color to signal trade conditions (cyan) versus hold conditions (orange).
What Makes It Unique:
Dual color-changing lines (SMI and AvgSMI) show momentum direction
Histogram columns display momentum strength
Chop zone cloud identifies low-momentum periods
Dynamic zero line (cyan = trade, orange = hold)
Three-color histogram (green = strong up, red = strong down, gray = weak)
Adjustable chop zone threshold
How to Use
THE DISPLAY
Lines:
Green = bullish momentum (rising)
Red = bearish momentum (falling)
Gray = neutral/sideways
Histogram Columns:
Green = strong bullish momentum
Red = strong bearish momentum
Gray = weak/choppy momentum
Zero Line:
Cyan (blue) = trade zone - momentum is directional
Orange = chop zone - momentum is weak, avoid trading
Chop Zone Cloud:
Gray shaded area = range where momentum is indecisive (±30 default)
TRADING STRATEGIES
1. Chop Zone Trading
Trade: Only when SMI is outside gray cloud AND zero line is cyan
Avoid: When SMI is inside cloud OR zero line is orange
Long: Green line appears above chop zone
Short: Red line appears below chop zone
This is the key feature - dramatically reduces whipsaws
2. Zero Line Crosses
Buy: SMI crosses above zero with cyan zero line
Sell: SMI crosses below zero with cyan zero line
Strongest signals when AvgSMI follows SMI across zero
Ignore crosses when zero line is orange (choppy)
3. Histogram Strength
Strong trend: Multiple consecutive green/red columns
Momentum building: Columns getting taller
Momentum fading: Columns turning gray = exit warning
Reversal signal: Gray columns after strong trend
4. Divergence Trading
Bearish divergence: Price higher high, SMI lower high → take red line signal
Bullish divergence: Price lower low, SMI higher low → take green line signal
Most powerful outside chop zone
ENTRIES & EXITS
Entries:
SMI line turns green outside chop zone (long)
SMI line turns red outside chop zone (short)
SMI crosses zero with cyan zero line
Exits:
SMI line changes color
SMI enters chop zone (orange zero line)
Histogram turns gray
Stops:
Below recent swing low (longs)
Above recent swing high (shorts)
ADJUSTING SETTINGS
Chop Zone (±) (default: 30):
Lower (15-25) = More trades, more whipsaws
Higher (35-50) = Fewer trades, higher quality
Adjust based on instrument volatility
Percent K Length (default: 5):
Lower (3-4) = More sensitive, faster signals - good for scalping
Higher (7-10) = Less sensitive, smoother - good for swing trading
Percent D Length (default: 4): Controls smoothing
SMI Bar Buffer (default: 4): Histogram color sensitivity
TIMEFRAME GUIDE
Scalping (1-5m): K=3, watch histogram color flips
Day trading (15-60m): Default settings, focus on zero crosses outside chop
Swing trading (4H-Daily): K=7-10, trade only strong trends outside chop
Key Settings
Percent K Length (default: 5): Lookback period - controls sensitivity
Percent D Length (default: 4): Smoothing period
Chop Zone (±) (default: 30): Range-bound zone threshold
SMI Bar Buffer (default: 4): Histogram color change sensitivity
Histogram Width (default: 1): Column thickness
Key Features
✅ Dual color-changing momentum lines
✅ Histogram columns show strength
✅ Chop zone cloud filters bad trades
✅ Dynamic zero line color
✅ Three-color histogram
✅ Adjustable chop threshold
✅ All timeframes
✅ Reduces whipsaws
SMI Trigger SystemSMI TRIGGER SYSTEM - DESCRIPTION
Overview
SMI Trigger System is a momentum oscillator that identifies trend changes and reversals using the Smoothed Stochastic Momentum Index (SMI). Features a color-changing line (green = bullish, red = bearish), cloud shading for momentum zones, and triangle markers that appear exactly when momentum flips.
What Makes It Unique:
Real-time color-changing momentum line
Cloud shading split at zero line
Triangle triggers at exact momentum flip points
Overbought/oversold limit lines
Built-in alerts for all key signals
Fully customizable appearance
Works on all timeframes
How to Use
THE DISPLAY
Green line/cloud: Bullish momentum
Red line/cloud: Bearish momentum
Above zero: Bulls in control
Below zero: Bears in control
Upper limit (+40): Overbought
Lower limit (-40): Oversold
SIGNALS
🟢 Green Triangle (▲) - Momentum flipping bullish. Buy signal, most powerful below zero.
🔴 Red Triangle (▼) - Momentum flipping bearish. Sell signal, most powerful above zero.
TRADING STRATEGIES
1. Trend Following
In uptrends: Only take green triangles, ignore red
In downtrends: Only take red triangles, ignore green
Use higher timeframe for trend, lower for entries
Example: Daily uptrend → trade green triangles on 1H chart
2. Limit Reversals
Red triangle at upper limit (+40) = strong reversal signal, go short
Green triangle at lower limit (-40) = strong reversal signal, go long
Wait for triangle AND price confirmation
Most reliable on 4H/Daily timeframes
3. Zero Line Trading
SMI crosses above zero → bullish bias, take green triangles
SMI crosses below zero → bearish bias, take red triangles
Zero acts as momentum baseline
4. Divergence Setups
Price higher high + SMI lower high = bearish divergence → take next red triangle
Price lower low + SMI higher low = bullish divergence → take next green triangle
Most powerful at overbought/oversold limits
ENTRIES & EXITS
Enter: On triangle appearance
Stop: Beyond recent opposite-color triangle
Target: Limit levels or opposite triangle
Add: Additional same-color triangles in strong trends
TIMEFRAME GUIDE
Scalping (1-5m): Lower %K to 3-4, take all trend-aligned triangles
Day trading (15-60m): Default settings (5/3), focus on limit reversals
Swing trading (4H-Daily): Higher %K to 7-10, trade only extreme readings
ADJUSTING SENSITIVITY
SMI %K Length (default: 5):
Lower (3-4) = More signals, faster - good for scalping
Higher (7-10) = Fewer signals, stronger - good for swing trading
SMI %D Length (default: 3):
Lower (1-2) = More responsive
Higher (5-7) = Smoother
ALERTS
Built-in alerts for:
Triangle appears (momentum flips)
SMI crosses zero (trend change)
SMI crosses limits (overbought/oversold)
Enable in settings, configure in TradingView alert dialog.
CUSTOMIZATION
Toggle cloud/triangles on/off
Adjust triangle size and positioning
Customize all colors
Triangle label cap prevents clutter
Key Settings
SMI %K Length (default: 5): Controls sensitivity and signal frequency
SMI %D Length (default: 3): Controls smoothing
SMI Limit (default: 40): Overbought/oversold threshold
Show SMI Cloud (default: ON): Cloud shading
Show SMI Flip Triangles (default: ON): Trigger markers
Triangle Size/Offset: Appearance customization
Enable Alerts (default: ON): Alert notifications
Key Features
✅ Color-changing momentum line
✅ Cloud shading for momentum zones
✅ Triangle triggers at exact flips
✅ Overbought/oversold limits
✅ Built-in alert system
✅ Fully customizable
✅ All timeframes
✅ Adjustable sensitivity
NPR21
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView.
