FluidFlow OscillatorFluidFlow Oscillator: Study Material for Traders
Overview
The FluidFlow Oscillator is a custom technical indicator designed to measure price momentum and market flow dynamics by simulating fluid motion concepts such as velocity, viscosity, and turbulence. It helps traders identify potential buy and sell signals along with trend strength, momentum direction, and volatility conditions.
This study explains the underlying calculation concepts, signal logic, visual cues, and how to interpret the professional dashboard table that summarizes key indicator readings.
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How the FluidFlow Oscillator Works
Core Mechanisms
1. Price Flow Velocity
o Measures the rate of change of price over a specified flow length (default 40 bars).
o Calculated as a percentage change of closing price: roc=close−closelen_flowcloselen_flow×100\text{roc} = \frac{\text{close} - \text{close}_{len\_flow}}{\text{close}_{len\_flow}} \times 100roc=closelen_flowclose−closelen_flow×100
o Smoothed by an EMA (Exponential Moving Average) to reduce noise, generating a "flow velocity" value.
2. Viscosity Factor
o Analogous to fluid viscosity, it adjusts the flow velocity based on recent price volatility.
o Volatility is computed as the standard deviation of close prices over the flow length.
o The viscosity acts as a damping factor to slow down the flow velocity in highly volatile conditions.
o This results in a "flow with viscosity" value, that smooths out the velocity considering market turbulence.
3. Turbulence Burst
o Captures sudden changes or bursts in the flow by measuring changes between successive viscosity-adjusted flows.
o The turbulence value is a smoothed absolute change in flow.
o A burst boost factor is added to the oscillator to incorporate this rapid change component, amplifying signals during sudden shifts.
4. Oscillator Calculation
o The raw oscillator value is the sum of flow with viscosity plus burst boost, scaled by 10.
o Clamped between -100 and +100 to limit extremes.
o Finally, smoothed again by EMA for cleaner visualization.
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Signal Logic
The oscillator works with complementary components to produce actionable signals:
• Signal Line: An EMA-smoothed version of the oscillator for generating crossover-based signals.
• Momentum: The rate of change of the oscillator itself, smoothed by EMA.
• Trend: Uses fast (21-period EMA) and slow (50-period EMA) moving averages of price to identify market trend direction (uptrend, downtrend, or sideways).
Signal Conditions
• Bullish Signal (Buy): Oscillator crosses above the oversold threshold with positive momentum.
• Bearish Signal (Sell): Oscillator crosses below the overbought threshold with negative momentum.
Statuses
The oscillator provides descriptive market states based on level and momentum:
• Overbought
• Oversold
• Buy Signal
• Sell Signal
• Bullish / Bearish (momentum-driven)
• Neutral (no clear trend)
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Color System and Visualization
The oscillator uses a sophisticated HSV color model adapting hues according to:
• Oscillator value magnitude and sign (positive or negative)
• Acceleration of oscillator changes
• Smooth color gradients to facilitate intuitive understanding of trend strength and momentum shifts
Background colors highlight overbought (red tint) and oversold (green tint) zones with transparency.
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How to Understand the Professional Dashboard Table
The FluidFlow Oscillator offers an integrated table at the bottom center of the chart. This dashboard summarizes critical indicator readings in 8 columns across 3 rows:
Column Description
SIGNAL Current signal status (e.g., Buy, Sell, Overbought) with color coding
OSCILLATOR Current oscillator value (-100 to +100) with color reflecting intensity and direction
MOMENTUM Momentum bias indicating strength/direction of oscillator changes (Strong Up, Up, Sideways, Down, Strong Down)
TREND Current trend status based on EMAs (Strong Uptrend, Uptrend, Sideways, Downtrend, Strong Downtrend)
VOLATILITY Volatility percentage relative to average, indicating market activity level
FLOW Flow velocity value describing price momentum magnitude and direction
TURBULENCE Turbulence level indicating sudden bursts or spikes in price movement
PROGRESS Oscillator's position mapped as a percentage (0% to 100%) showing proximity to extreme levels
Rows Explained
• Row 1 (Header): Labels for each metric.
• Row 2 (Values): Current numerical or descriptive values color-coded along a professional scheme:
o Green or lime tones indicate positive or bullish conditions.
o Red or orange tones indicate caution, sell signals, or bearish conditions.
o Blue tones indicate neutral or stable conditions.
• Row 3 (Status Indicators): Emoji-like icons and bars provide a quick visual gauge of each metric's intensity or signal strength:
o For example, "🟢🟢🟢" suggests very strong bullish momentum, while "🔴🔴🔴" suggests strong bearish momentum.
o Progress bar visually demonstrates oscillator movement toward oversold or overbought extremes.
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Practical Interpretation Tips
• A Buy signal with green colors and strong momentum usually precedes upward price moves.
• An Overbought status with red background and red table colors warns of potential price corrections or reversals.
• Watch the Turbulence to gauge market instability; spikes may precede price shocks or volatility bursts.
• Confirm signals with the Trend and Momentum columns to avoid false entries.
• Use the Progress bar to anticipate oscillations approaching key threshold levels for timing trades.
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Alerts
The oscillator supports alerts for:
• Buy and sell signals based on oscillator crossovers.
• Overbought and oversold levels reached.
These help traders automate awareness of important market conditions.
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Disclaimer
The FluidFlow Oscillator and its signals are for educational and informational purposes only. They do not guarantee profits and should not be considered as financial advice. Always conduct your own research and use proper risk management when trading. Past performance is not indicative of future results.
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This detailed explanation should help you understand the workings of the FluidFlow Oscillator, its components, signal logic, and how to analyze its professional dashboard for informed trading decisions.
Accumulation / Distribution Line (ADL)
Daily 6 AM & 8 AM CST Linesit help so you can figure out 6am and 8am on cst time in americas very fast.
MDX:Time the selling:VSMarketTrendThe MDX: Time the Sell indicator is designed to identify high-probability profit-booking points and potential trend shift zones by combining price deviation analysis with multi-layered market context filters.
It builds upon the Mean Deviation Index (MDX) concept — measuring how far price has moved away from its mean — but enhances it with dynamic EMA structures, volatility normalization, and momentum overlays.
Data Sources
Price & Volume Data: Direct from TradingView’s built-in real-time feed.
ATR & Volatility Metrics: Based on TradingView’s ATR and standard deviation functions.
EMA Structures: Multiple EMAs for both long-term and short-term market bias tracking.
VWAP: Used for intraday institutional bias measurement.
RSI: Period-specific overbought/oversold detection.
Custom MDX Calculation: Uses an ATR-filtered EMA process to normalize price deviations across different market conditions.
Calculation Approach (High-Level)
While the exact logic is internal, here’s the conceptual flow:
Baseline Mean → Built using an ATR-adjusted EMA to represent a smoothed market mean that adapts to volatility.
Deviation Measurement → Compares current price against the mean, adjusted for ATR to avoid noise.
Trend Context Filters → Multiple EMA layers (short, medium, long) combined with MACD, RSI, and VWAP context.
Signal Structuring →
Red Top Line → Long-term EMA of MDX, representing strong deviation extremes.
Dotted Lower Line → Short-term EMA of MDX, used for quicker turn detection.
Grey MDX Line → Base deviation measurement, showing live market stretch from mean.
How to Use This Indicator
Best Use Case: Timing Profit Booking
Primary Sell Alert → When the MDX line touches the red top line, it indicates a significant overextension from the mean, often preceding a correction. This is where profit booking is most effective.
Sell Confirmation → Red or orange vertical lines mark complete exit zones based on multi-condition trend weakening.
High-Risk Overbought Zone → Blue vertical lines appear when RSI > 80, warning of potential pullbacks even if trend remains intact.
Buy Zone Detection
Green Vertical Line → Suggests a possible re-entry or add-on point, where deviation and momentum align for potential upward continuation.
Visual Guide
Grey Line → Live MDX reading.
Dotted Line (Lower) → Short-term MDX EMA.
Red Line (Upper) → Long-term MDX EMA.
Vertical Green → Possible buy/add zone.
Vertical Red/Orange → Full sell/offload signal.
Blue Vertical → RSI-based overbought warning.
another example
Trading Tips
Use with Trend Context → Best results when aligned with higher timeframe trend direction.
Pair with Volume Analysis → Large deviation + volume spike often signals strong reversal probability.
Avoid Overtrading → Wait for the MDX to reach extreme red-line contact before aggressive selling.
Multi-Timeframe Check → Confirm signals on both your trading and one higher timeframe for higher accuracy.
MACD EMA 200 Strategy (Roche 5min Scalp)Free to use, stay blessed.
I don't believe charging for something that everyone can use.
Please enjoy it.
Deep in the Tape VSA Deep in the Tape VSA
Overview
This indicator applies classic Volume Spread Analysis (VSA) concepts to highlight potential supply/demand events and contextual confirmations on any symbol or timeframe. It focuses on visual study signals (no alerts or trade labels) to help with discretionary analysis.
What it plots
VSA Events: Stopping Volume (SV), Supply Coming In, Buying Climax (BC), Upthrust (UT), No Demand (ND), No Supply (NS), Selling Climax (SC), Shakeout (SO), Test Bar (confirmed), End of Rising Market (EoRM).
Context Lines: When an ultra-high-volume VSA trigger occurs, the bar’s high/low are extended forward as reference lines.
Cluster Zones (optional): Highlights ranges formed after sequences of high-volume bars, with bullish/bearish bias coloring.
Moving Average (optional): Simple MA with color shift based on price relative to the MA.
Logic highlights
Background Strength/Weakness: Tracks recent bullish (SC/SV/SO) and bearish (UT/BC/Supply Coming In) triggers.
Confirmations: Examples include test confirmations after NS/Test, SC/SV continuation checks, UT/BC breakdown/failed responses, and EoRM follow-through.
Failures: Flags conditions where prior signals fail to follow through (e.g., ND/NS failures) under volume/close-position constraints.
Bias Heuristic: Compares peak volumes of recent bullish vs. bearish triggers to infer short-term directional bias.
Inputs (selected)
Toggle individual VSA events (SV, Supply Coming In, BC, UT, ND, NS, Test, SO).
Moving Average length & enable/disable.
Cluster detection parameters (range, minimum bars).
Volume/ATR multipliers, ultra-high-volume lookback, spread/close-position thresholds.
How to use
Start on higher timeframes to establish context, then drill down.
Use the extended high/low from trigger bars as support/resistance reference.
Combine VSA events with spread/close position and relative volume, rather than treating any single signal as a standalone entry.
Notes
Educational/study tool only. Not financial advice.
Signals are contextual and can repaint intra-bar until the bar closes.
Performance may vary by symbol/timeframe due to differing volume characteristics.
SITR Inside Candle + Inside Bar Finder📈 How Traders Use It
- Bullish Setup: Inside Bar forms after a strong bullish Mother Candle. A breakout above the Inside Bar’s high signals continuation.
- Bearish Setup: Inside Bar forms after a strong bearish Mother Candle. A breakout below the Inside Bar’s low signals continuation.
- Reversal Setup: Inside Bar forms after exhaustion or near key support/resistance. Breakout in the opposite direction signals reversal.
🧭 Why It Matters
- Inside Bars represent compression — price is coiling within a tight range.
- Breakouts from Inside Bars often lead to explosive moves.
- The Mother Candle provides context — its size and direction help interpret the breakout’s strength.
🧪 Example
Imagine this sequence:
- A large bullish candle (Mother Candle)
- A small candle entirely within its range (Inside Bar)
- Price breaks above the Inside Bar’s high → Bullish SITR signal
SITR Pivots SNR SITR – Pivot Points High Low
SITR identifies swing highs and lows using customizable left/right bar lengths. It places clean, transparent labels on the chart to highlight potential reversal zones and key price levels. Ideal for spotting trend shifts, support/resistance, and breakout setups.
CVDD Z-ScoreCumulative Value Days Destroyed (CVDD) - The CVDD was created by Willy Woo and is the ratio of the cumulative value of Coin Days Destroyed in USD and the market age (in days). While this indicator is used to detect bottoms normally, an extension is used to allow detection of BTC tops. When the BTC price goes above the CVDD extension, BTC is generally considered to be overvalued. Because the "strength" of the BTC tops has decreased over the cycles, a logarithmic function for the extension was created by fitting past cycles as log extension = slope * time + intercept. This indicator is triggered for a top when the BTC price is above the CVDD extension. For the bottoms, the CVDD is shifted upwards at a default value of 120%. The slope, intercept, and CVDD bottom shift can all be modified in the script.
Now with the automatic Z-Score calculation for ease of classification of Bitcoin's valuation according to this metric.
Created for TRW.
Deep in the Tape – VSA (Invite Only)This indicator is part of the “Deep in the Tape” suite and implements Volume Spread Analysis (VSA) principles to help identify potential supply and demand imbalances across price bars. The script is designed to analyze volume, price spread, bar structure, and close position relative to range to highlight common VSA patterns and their possible implications in different market contexts.
The logic includes detection for classical VSA events such as:
- Stopping Volume
- Selling Climax
- Shakeout Bars
- No Supply / No Demand
- Buying Climax
- Upthrust
- Supply Coming In
- Confirmed Test Bars
It also includes additional logic for:
- Failure signals (e.g., failed test or no supply)
- Aggressive entries before confirmation
- Clustering of high volume bars
- High/low level persistence after major VSA events
- Multi-factor entry conditions based on volume effort, spread behavior, and recent background context
Labels and shapes are plotted on the chart when corresponding conditions are met. Optional toggles allow for customizing which signals are shown.
The indicator can assist traders in recognizing key turning points, traps, or confirmations of demand/supply strength, but it does not guarantee performance and should be used with additional analysis and risk management.
This script uses no repainting techniques and evaluates all conditions in real-time.
See the Author's instructions below to get access to this package and the accompanying documentation.
Disclaimer: This script is for educational and informational purposes only and does not constitute financial advice. Trading and investing carry risk, and past performance is not indicative of future results. The author is not responsible for any losses or decisions made based on the use of this script. Always do your own research and consult with a qualified financial advisor before making trading decisions.
Accumulation Phase DetectorClean Accumulation Phase Indicator — Description
This TradingView indicator visually identifies the Accumulation Phase in price action, based on the Wyckoff methodology and volume-price analysis. The Accumulation Phase is where insiders or "smart money" gradually build positions before a significant price breakout.
Key Features:
Range Detection: The indicator calculates a price range over a configurable period (Range Length). It marks this range on the chart with red horizontal lines representing support and resistance.
Volume Spike Identification: It detects unusually high volume relative to the average volume over the same period (Volume Spike Multiplier). These spikes highlight potential insider buying activity.
Accumulation Phase Highlighting: When price action remains within the detected range and volume spikes occur, the indicator considers the market to be in an accumulation phase. Volume bars during this phase are colored blue for easy visualization.
Campaign Start & End Labels: The indicator places a "Campaign starts" label at the beginning of the accumulation phase and a "Campaign ends - warehouse full" label when the accumulation ends. This mimics the idea that insiders fill their “warehouses” before a breakout.
Breakout Detection: Once accumulation ends, the indicator monitors for a price breakout above the resistance level and places a "Breakout" label at the breakout bar.
How to Use:
Adjust the Range Length and Volume Spike Multiplier inputs to suit the timeframe and instrument you’re analyzing.
Watch for the blue volume bars within the red range lines to identify the accumulation phase.
Use the campaign labels to identify when the phase starts and ends.
Watch for the breakout label as a potential entry signal.
Previous Day Liquidity ZonesThis indicator is designed for intraday liquidity-based trading strategies and helps traders identify high-probability reversal or breakout zones based on smart money concepts.
It automatically plots the:
🟥 Previous Day High Zone – potential buy-side liquidity trap
🟩 Previous Day Low Zone – potential sell-side liquidity trap
🟧 Previous Day Close Zone – potential rebalancing or indecision zone
These levels are critical areas where institutional stop-hunting, reversals, and fake breakouts often occur.
🎯 How to Use
Use this indicator on 1-minute or 5-minute charts for stocks, indices (like NIFTY, BANKNIFTY), or forex.
Watch for price entering these zones during live market hours.
Combine with price action confirmation:
Rejection wicks
Engulfing candles
Change of character (CHoCH) or BOS
Fair Value Gaps (FVG)
First 5-minute candle (9:15 AM in Indian market) is highlighted for breakout setups.
🧠 Smart Money Logic
These zones mimic the logic used by institutions to:
Trigger retail stop-losses
Reverse market direction near liquidity pools
Trap breakout traders around session extremes
⚙️ Features
Configurable zone width (%)
Visual fill zones with subtle shading
Support for all assets and timeframes
Highlights first candle of day to assist with pre-trade bias
✅ Ideal For:
Smart money traders
ICT / Wyckoff / SMC followers
Breakout trap or reversal strategy users
Anyone who trades key session levels
⚠️ Disclaimer
This is an informational tool. Always use confirmation and sound risk management before executing any trade.
ICT Order Blocks HTFICT Order Blocks HTF (with Parent Swing Confirmation)
This indicator is a powerful tool designed to identify high-probability Higher-Timeframe (HTF) Order Blocks by confirming them with significant liquidity sweeps on your trading chart. It combines two core ICT (Inner Circle Trader) concepts to filter out noise and highlight only the most sensitive areas.
The Core Concept: A High-Probability Model
The most powerful trading setups often occur when a significant event on a lower timeframe happens at a key area on a higher timeframe. This indicator automates that analysis by looking for a specific confluence:
A Liquidity Sweep (LTF): First, it identifies a "Parent Swing" on your current chart. This is a significant swing high (BSL - Buy Side Liquidity) or swing low (SSL - Sell Side Liquidity) that has been validated by a market structure shift. These are the key liquidity pools the market targets.
An Order Block (HTF): Separately, it looks at a higher timeframe of your choice (e.g., 15m, 1H) to find institutional order blocks—the last up or down candle before a strong move.
The Confluence: The magic happens here. The indicator will only draw an HTF order block on your chart if it forms at the exact moment the price is interacting with one of the BSL or SSL liquidity pools from your current chart.
This dual confirmation provides a refined, high-probability signal, indicating that a major liquidity event is fueling a reaction from a significant HTF level.
What the Indicator Does
Identifies Parent Swings: In the background, it constantly tracks and identifies BSL (red lines) and SSL (green lines) on your chart.
Finds HTF Order Blocks: It looks for bullish (last down-candle) and bearish (last up-candle) order blocks on the higher timeframe you select.
Draws Confirmed Zones: It draws a Bullish OB (Blue Box) only when an HTF bullish order block forms at an SSL level. It draws a Bearish OB (Orange Box) only when an HTF bearish order block forms at a BSL level.
Marks Key Levels: Each order block is automatically drawn with dashed lines marking its high, low, and midpoint (50% level) for precise entry and risk management.
Real-Time Invalidation: The order blocks extend into the future and are tracked in real-time. If price closes through a block a specified number of times, the zone is considered invalid and will be dimmed, keeping your chart clean.
How to Use This Indicator
The primary use for this indicator is to identify high-probability entry zones.
When a Bullish Order Block (Blue) appears, it signals a potential area of demand where you might look for long entries.
When a Bearish Order Block (Orange) appears, it signals a potential area of supply where you might look for short entries.
The internal lines (high, low, midpoint) can be used for more precise entries or for setting stop-loss levels.
Settings
Higher Timeframe for Order Blocks: Choose the HTF you want the indicator to analyze for order blocks (e.g., 15m, 1H, 4H).
OB Invalidation Threshold: Set how many times price must close fully through an order block before it is considered invalid.
Parent Swing Settings: You can adjust the lookback periods and invalidation threshold for the BSL/SSL detection to match your trading style. A larger lookback will find more significant liquidity pools.
Disclaimer: This indicator is a tool to assist in technical analysis. It is not a standalone trading system and does not provide financial advice. Always use proper risk management and combine this tool with your own analysis and trading strategy.
NOMANOMA Adaptive Confidence Strategy —
What is NOMA?
NOMA is a next-generation, confidence-weighted trading strategy that fuses modern trend logic, multi-factor market structure, and adaptive risk controls—delivering a systematic edge across futures, stocks, forex, and crypto markets. Designed for precision, adaptability, and hands-off automation, NOMA provides actionable trade signals and real-time alerts so you never miss a high-conviction opportunity.
Key Benefits & Why Use NOMA?
Trade With Confidence, Not Guesswork:
NOMA combines over 11 institutional-grade confirmations (market structure, order flow, volatility, liquidity, SMC/ICT concepts, and more) into a single “confidence score” engine. Every trade entry is filtered through customizable booster weights, so only the strongest opportunities trigger.
Built-In Alerts:
Get instant notifications on all entries, take-profits, trailing stop events, and exits. Connect alerts to your mobile, email, or webhook for seamless automation or just peace of mind.
Advanced Position Management:
Supports up to 5 separate take-profit levels with adjustable quantities, plus dynamic and stepwise trailing stops. Protects your gains and adapts exit logic to market movement, not just static targets.
Anti-Chop/No Trade Zones:
Eliminate low-probability, sideways market conditions using the “No Chop Zone” filter, so you only trade in meaningful, trending environments.
Full Market Session Control:
Restrict trades to custom sessions (e.g., New York hours) for added discipline and to avoid overnight risk.
— Ideal for day traders and prop-firm requirements.
Multi-Asset & Timeframe Support:
Whether you trade micro futures, stocks, forex, or crypto, NOMA adapts its TP/SL logic to ticks, pips, or points and works on any timeframe.
How NOMA Works (Feature Breakdown)
1. Adaptive Trend Engine
Uses a custom NOMA line that blends classic moving averages with dynamic momentum and a proprietary “Confidence Momentum Oscillator” overlay.
Visual trend overlay and color fill for easy chart reading.
2. Multi-Factor Confidence Scoring
Each trade is scored on up to 11 confidence “boosters,” including:
Market Manipulation & Accumulation (detects smart money traps and true range expansions)
Accumulation/Distribution (AD line)
ATR Volatility Rank (prioritizes trades when volatility is “just right”)
COG Cross (center of gravity reversal points)
Change of Character/Break of Structure (CHoCH/BOS logic, SMC/ICT style)
Order Blocks, Breakers, FVGs, Inducements, OTE (Optimal Trade Entry) Zones
You control the minimum score required for a trade to trigger, plus the weight of each factor (customize for your asset or style).
3. Smart Trade Management
Step Take-Profits:
Up to 5 profit targets, each with individual contract/quantity splits.
Step Trailing Stop:
Trail your stop with a ratcheting logic that tightens after each TP is hit, or use a fully dynamic ATR-based trail for volatile markets.
Kill-Switch:
Instant trailing stop logic closes all open contracts if price reverses sharply.
4. Session Filter & Cooldown Logic
Restricts trading to key sessions (e.g., NY open) to avoid low-liquidity or dead zones.
Cooldown bars prevent “overtrading” or rapid re-entries after an exit.
5. Chop Zone Filter
Optionally blocks trades during flat/choppy periods using a custom “NOMA spread” calculation.
When enabled, background color highlights no-trade periods for clarity.
6. Real-Time Alerts
Receive alerts for:
Trade entries (long & short, with confidence score)
Every take-profit target hit
Trailing stop exits or full position closes
Easy setup: Create alerts for all conditions and get notified instantly.
Customization & Inputs
TP/SL Modes: Choose between manual, ATR-multiplied, or hybrid take-profit and trailing logic.
Position Sizing: Fixed contracts/quantity per trade, with customizable splits for scaling out.
Session Settings: Restrict to any time window.
Confidence Engine: User-controlled weights and minimum score—tailor for your asset.
Risk & Volatility Filters: ATR length/multiplier, min/max range, and more.
How To Use
Add NOMA to your chart.
Customize your settings (session, TPs, confidence scores, etc.).
Set up TradingView alerts (“Any Alert() function call”) to receive notifications.
Monitor trade entries, profit targets, and stops directly on your chart or in your inbox.
Adjust confidence weights as you optimize for your favorite asset.
Pro Tips
Start with default settings—they are optimized for NQ micro futures, 15m timeframe.
Increase the minimum confidence score or weights for stricter filtering in volatile or low-liquidity markets.
Adjust your take-profit and trailing stop settings to match your trading style (scalping vs. swing).
Enable “No Chop Zone” during sideways conditions for cleaner signals.
Test in strategy mode before trading live to dial in your risk and settings.
Disclaimer
This script is for educational and research purposes only. No trading system guarantees future results.
Performance will vary by symbol, timeframe, and market regime—always test settings and use at your own risk. Not investment advice.
If alerts or strategy entries are not triggering as expected, try lowering the minimum confidence score or disabling certain boosters.
This will come with a user manual please do not hesitate to message me to gain access. TO THE MOON AND BEYOND
Hidden Liquidity Shift DetectorPurpose
The Hidden Liquidity Shift Detector identifies candles that indicate potential hidden accumulation or distribution activity based on volume and price action behavior. These setups often represent institutional absorption of liquidity ahead of larger moves.
How It Works
The script detects candles with the following characteristics:
Small real body relative to the total candle range
A strong wick (upper or lower) indicating rejection
Volume significantly higher than the recent average
It flags:
Hidden Selling (Distribution) when a bearish candle has a long upper wick and high volume
Hidden Buying (Accumulation) when a bullish candle has a long lower wick and high volume
These candles are often missed by traditional indicators but may precede significant reversals or breakouts.
Features
Automatic detection of absorption-style candles
Volume spike filtering based on configurable multiplier
Wick and body ratio thresholds to fine-tune signal quality
Non-intrusive signal markers (colored circles)
Real-time alerts for hidden buying/selling signals
Usage Tips
Use on 15m to 4H charts for intraday detection, or Daily for swing setups
Combine with support/resistance or volume profile zones for higher conviction
Clusters of signals in the same area increase reversal probability
Can be used alongside Wyckoff-style logic or smart money concepts
Exchanges Combined Volume📊 Exchanges Combined Volume
(Aggregated Multi-Exchange Volume: Binance, OKX, Bybit, etc.) by BIGTAKER*
🔍 Purpose
The Exchanges Combined Volume indicator aggregates real-time trading volumes from multiple global exchanges for a specific asset (e.g., a cryptocurrency).
Instead of relying on a single market, it provides a broader view of market activity, helping users detect abnormal volume behavior and increased participation across the entire market.
⚙️ Supported Exchanges
* USDT Markets
`Binance`, `OKX`, `Bybit`, `Bitget`, `Gate.io`
* USD Markets
`Coinbase`, `Bitfinex`, `Bitstamp`
* Default
Includes the current chart symbol’s native volume by default.
🧮 Core Calculation Logic
1. 📛 Symbol Normalization (cleanSymbol)
Prefixes such as `1000`, `10000`, `100000`, or `1M` (common in leveraged tickers) are automatically removed to extract the base token.
> Example:
> `1000PEPEUSDT` → `PEPEUSDT`
2. 📈 Volume Requests from External Exchanges
Volume is retrieved using the `` format (e.g., `'BINANCE:PEPEUSDT'`, `'COINBASE:BTCUSD'`).
Invalid or delisted pairs are safely ignored using `ignore_invalid_symbol=true`.
3. 📊 Total Volume Calculation
totalVolume = usdtVolume + usdVolume + currentSymbolVolume
The indicator sums the volume from all target exchanges plus the volume from the current chart symbol.
4. 📏 Comparison to Average Volume
* Period: `length = 60` (Simple Moving Average over 60 candles)
* A candle is considered **high-intensity** if:
5. 🎨 Visual Styling
| Condition | Color | Meaning |
| -------------------------- | --------------------- | ----------------------- |
| High-volume Bullish Candle | Light Green (#30db78) | Strong Buying Activity |
| High-volume Bearish Candle | Bright Red (#ff0000) | Strong Selling Activity |
| Normal Bullish Candle | Dark Green (#3c7058) | Regular Buying Volume |
| Normal Bearish Candle | Dark Red (#682e2c) | Regular Selling Volume |
📌 Use Cases
* Detect synchronized volume surges across major global exchanges.
* Identify pre-pump accumulation phases on altcoins.
* Combine with premium gap indicators (e.g., Kimchi Premium) to identify leading market sentiment.
* Confirm breakout momentum with multi-exchange volume validation.
📘 Notes & Warnings
* Listing differences across exchanges may result in **zero volume** on some platforms.
* Prefixes like `1000`, `1M`, etc., are automatically removed to **improve symbol matching accuracy**.
* As volume units are not standardized, this indicator is best suited for **absolute value analysis**, not ratio-based comparisons.
Carnival Absorption [by Oberlunar]Carnival Absorption of Oberlunar is a refined algorithmic lens, designed to expose the invisible forces that operate behind price movement. Much like a Carnival, where a mask conceals a deeper identity, this tool seeks out areas where the market disguises its true intent—volume absorption cloaked in stillness, pressure coiling beneath the surface, waiting to unmask.
At the core of the indicator are two phenomena: absorption and compression .
Absorption is defined as a localised spike in normalised volume relative to the candle’s range. This is measured using a dynamic z-score (sigma buy/sell), which quantifies the significance of the volume within its historical context. Only when this score exceeds a configurable threshold is the candle considered a potential site of meaningful activity—what one might call a “masked intention.”
But one candle is not enough. Divergence must occur.
Here, the heart of the detection logic lies in comparing price action to the Cumulative Volume Delta (CVD). If price makes a new high but CVD does not—or vice versa—it suggests a disconnect between what the market displays and what it internally processes. It is in this tension between form and substance that the signal is born.
When both high absorption and a valid divergence align, the area becomes a pending zone—a sort of unspoken potential. These zones are stored dynamically in memory arrays and clustered intelligently to avoid overlap and redundancy. Suppose price returns to that area within a specified time and range tolerance, confirming the original hypothesis. In that case, the mask drops: a box is drawn on the chart, accompanied by a confidence label that quantifies how closely the current price behavior matches the pending structure. The closer the price aligns with the heart of the original zone, the higher the confidence percentage is shown.
But the Carnival continues.
When a bullish absorption zone is followed by a bearish one (or vice versa), the indicator detects a compression. This is not a reversal signal, but a phase of coiled tension—a compression of opposing forces, visualized as a colored box stretching between the two zones. These compressions are not arbitrary: they emerge only when the distance between the two zones is statistically significant. Once confirmed, they are labeled with the transition type (“B→S” or “S→B”) and an associated confidence metric.
The visual behavior is fully customizable. Users can choose whether to display confirmed boxes, pending circles, labels, and adjust transparency and placement. Pending signals are marked with colored circles whose size and intensity reflect their statistical confidence—ranging from tiny to huge.
The entire visual system acts as a living map of pressure and potential.
— Oberlunar 👁️★
Distribution & Accumulation Days# Distribution & Accumulation Days Indicator
## Overview
This powerful institutional activity tracker identifies **Distribution Days** (selling pressure) and **Accumulation Days** (buying pressure) based on the proven methodology used by Investor's Business Daily (IBD). Perfect for detecting when "smart money" institutions are actively buying or selling, helping you align your trades with institutional flow.
## What It Does
- **Distribution Days**: Identifies days when price drops significantly on higher volume (institutional selling)
- **Accumulation Days**: Identifies days when price rises significantly on higher volume (institutional buying)
- **Real-time Counting**: Tracks the number of each type over your specified lookback period
- **Net Analysis**: Shows whether buying or selling pressure is dominant
## Key Features
### 🎯 **Customizable Threshold**
- Set your own price change percentage (default 0.2%) to filter out minor moves
- Focus only on significant institutional activity
### 📊 **Moving Average Filter**
- Optional MA filter to eliminate noise during strong downtrends
- Choose from SMA, WMA, or EMA
- Only counts signals when price is above the moving average
### 📈 **Visual Markers**
- **Red 'D'** markers above bars = Distribution (selling pressure)
- **Green 'A'** markers below bars = Accumulation (buying pressure)
- Numbers show current count within your lookback period
### 📋 **Information Dashboard**
Real-time table displays:
- Total Distribution Days in period
- Total Accumulation Days in period
- Net difference (positive = more buying, negative = more selling)
## How to Use
### Market Analysis
- **4-5 Distribution Days** in 25 sessions = Potential market weakness
- **Multiple Accumulation Days** after decline = Potential bottom formation
- **Net positive** = Institutional buying dominance
- **Net negative** = Institutional selling dominance
### Trade Setup
- Look for accumulation clusters near support levels for long entries
- Watch for distribution clusters near resistance for potential short setups
- Use in conjunction with your existing technical analysis
## Settings
| Parameter | Description | Default |
|-----------|-------------|---------|
| Days Back | Lookback period for counting | 25 |
| Price Change Threshold | Minimum % move required | 0.2% |
| Moving Average Filter | Enable/disable MA filter | Off |
| MA Type | SMA, WMA, or EMA | EMA |
| MA Length | Moving average period | 50 |
## Best Practices
- Use on **daily timeframe only** (automatically restricts to daily)
- Works best on major indices (SPY, QQQ, IWM) and liquid stocks
- Combine with support/resistance levels for better entries
- Monitor both individual counts and net difference for complete picture
## Important Notes
- Based on proven IBD methodology used by professional traders
- Requires significant volume confirmation - price moves without volume are ignored
- Most effective when used as part of a complete trading system
- Works only on daily charts (designed for institutional timeframe analysis)
---
*This indicator helps you see the market through institutional eyes. When the big players are buying or selling, you'll know.*
**Tags**: Distribution, Accumulation, IBD, Institutional, Volume Analysis, Smart Money, Market Structure
Chaikin Oscillator with EMA and AlertsOverview
This indicator plots the classic Chaikin Oscillator along with an EMA overlay to help identify changes in accumulation or distribution momentum. It includes visual markers and built-in alerts for key crossover events such as crossing the zero line and crossing above or below the Chaikin EMA.
Concepts
The Chaikin Oscillator is calculated as the difference between two EMAs of Accumulation/Distribution (A/D) volume. It is used to measure the momentum behind buying and selling pressure. An EMA is applied to the oscillator itself to smooth out signals and provide an additional layer of trend confirmation. Crossovers above or below zero, and above or below the EMA, are interpreted as potential signals of market sentiment shifts.
How to Use the Indicator
Apply the indicator to any chart and select your preferred short, long, and EMA lengths. The script will plot the Chaikin Oscillator in teal and its EMA in red. Triangles and labels will appear on the chart when the oscillator crosses above or below the zero line, or when it crosses its EMA. Green triangles indicate bullish zero-line crossovers, while red triangles indicate bearish ones. Lime and maroon labels signal EMA crossovers. Use these signals to assess momentum shifts and potential entry or exit points.
Interpretation
When the Chaikin Oscillator is above zero and rising, it suggests strong buying pressure. When it is below zero and falling, it suggests strong selling pressure. A crossover above the EMA may indicate an emerging bullish trend, while a crossover below the EMA may suggest increasing bearish momentum. Using both the zero line and EMA crossover together helps filter noise and improves reliability of momentum-based signals.
Notes
The indicator includes four alert conditions that can be enabled in TradingView to notify you of Chaikin Oscillator crossovers. It works across all asset classes and timeframes. This tool is especially useful for identifying momentum shifts ahead of price moves and for confirming volume-based signals in trend continuation or reversal scenarios. Adjust input lengths to suit your trading style or the volatility of the instrument you are analyzing.
Quarterly Theory ICT 05 [TradingFinder] Doubling Theory Signals🔵 Introduction
Doubling Theory is an advanced approach to price action and market structure analysis that uniquely combines time-based analysis with key Smart Money concepts such as SMT (Smart Money Technique), SSMT (Sequential SMT), Liquidity Sweep, and the Quarterly Theory ICT.
By leveraging fractal time structures and precisely identifying liquidity zones, this method aims to reveal institutional activity specifically smart money entry and exit points hidden within price movements.
At its core, the market is divided into two structural phases: Doubling 1 and Doubling 2. Each phase contains four quarters (Q1 through Q4), which follow the logic of the Quarterly Theory: Accumulation, Manipulation (Judas Swing), Distribution, and Continuation/Reversal.
These segments are anchored by the True Open, allowing for precise alignment with cyclical market behavior and providing a deeper structural interpretation of price action.
During Doubling 1, a Sequential SMT (SSMT) Divergence typically forms between two correlated assets. This time-structured divergence occurs between two swing points positioned in separate quarters (e.g., Q1 and Q2), where one asset breaks a significant low or high, while the second asset fails to confirm it. This lack of confirmation—especially when aligned with the Manipulation and Accumulation phases—often signals early smart money involvement.
Following this, the highest and lowest price points from Doubling 1 are designated as liquidity zones. As the market transitions into Doubling 2, it commonly returns to these zones in a calculated move known as a Liquidity Sweep—a sharp, engineered spike intended to trigger stop orders and pending positions. This sweep, often orchestrated by institutional players, facilitates entry into large positions with minimal slippage.
Bullish :
Bearish :
🔵 How to Use
Applying Doubling Theory requires a simultaneous understanding of temporal structure and inter-asset behavioral divergence. The method unfolds over two main phases—Doubling 1 and Doubling 2—each divided into four quarters (Q1 to Q4).
The first phase focuses on identifying a Sequential SMT (SSMT) divergence, which forms when two correlated assets (e.g., EURUSD and GBPUSD, or NQ and ES) react differently to key price levels across distinct quarters. For example, one asset may break a previous low while the other maintains structure. This misalignment—especially in Q2, the Manipulation phase—often indicates early smart money accumulation or distribution.
Once this divergence is observed, the extreme highs and lows of Doubling 1 are marked as liquidity zones. In Doubling 2, the market gravitates back toward these zones, executing a Liquidity Sweep.
This move is deliberate—designed to activate clustered stop-loss and pending orders and to exploit pockets of resting liquidity. These sweeps are typically driven by institutional forces looking to absorb liquidity and position themselves ahead of the next major price move.
The key to execution lies in the fact that, during the sweep in Doubling 2, a classic SMT divergence should also appear between the two assets. This indicates a weakening of the previous trend and adds an extra layer of confirmation.
🟣 Bullish Doubling Theory
In the bullish scenario, Doubling 1 begins with a bullish SSMT divergence, where one asset forms a lower low while the other maintains its structure. This divergence signals weakening bearish momentum and possible smart money accumulation. In Doubling 2, the market returns to the previous low and sweeps the liquidity zone—breaking below it on one asset, while the second fails to confirm, forming a bullish SMT divergence.
f this move is followed by a bullish PSP and a clear market structure break (MSB), a long entry is triggered. The stop-loss is placed just below the swept liquidity zone, while the target is set in the premium zone, anticipating a move driven by institutional buyers.
🟣 Bearish Doubling Theory
The bearish scenario follows the same structure in reverse. In Doubling 1, a bearish SSMT divergence occurs when one asset prints a higher high while the other fails to do so. This suggests distribution and weakening buying pressure. Then, in Doubling 2, the market returns to the previous high and executes a liquidity sweep, targeting trapped buyers.
A bearish SMT divergence appears, confirming the move, followed by a bearish PSP on the lower timeframe. A short position is initiated after a confirmed MSB, with the stop-loss placed
🔵 Settings
⚙️ Logical Settings
Quarterly Cycles Type : Select the time segmentation method for SMT analysis.
Available modes include : Yearly, Monthly, Weekly, Daily, 90 Minute, and Micro.
These define how the indicator divides market time into Q1–Q4 cycles.
Symbol : Choose the secondary asset to compare with the main chart asset (e.g., XAUUSD, US100, GBPUSD).
Pivot Period : Sets the sensitivity of the pivot detection algorithm. A smaller value increases responsiveness to price swings.
Pivot Sync Threshold : The maximum allowed difference (in bars) between pivots of the two assets for them to be compared.
Validity Pivot Length : Defines the time window (in bars) during which a divergence remains valid before it's considered outdated.
🎨 Display Settings
Show Cycle :Toggles the visual display of the current Quarter (Q1 to Q4) based on the selected time segmentation
Show Cycle Label : Shows the name (e.g., "Q2") of each detected Quarter on the chart.
Show Labels : Displays dynamic labels (e.g., “Q2”, “Bullish SMT”, “Sweep”) at relevant points.
Show Lines : Draws connection lines between key pivot or divergence points.
Color Settings : Allows customization of colors for bullish and bearish elements (lines, labels, and shapes)
🔔 Alert Settings
Alert Name : Custom name for the alert messages (used in TradingView’s alert system).
Message Frequenc y:
All : Every signal triggers an alert.
Once Per Bar : Alerts once per bar regardless of how many signals occur.
Per Bar Close : Only triggers when the bar closes and the signal still exists.
Time Zone Display : Choose the time zone in which alert timestamps are displayed (e.g., UTC).
Bullish SMT Divergence Alert : Enable/disable alerts specifically for bullish signals.
Bearish SMT Divergence Alert : Enable/disable alerts specifically for bearish signals
🔵 Conclusion
Doubling Theory is a powerful and structured framework within the realm of Smart Money Concepts and ICT methodology, enabling traders to detect high-probability reversal points with precision. By integrating SSMT, SMT, Liquidity Sweeps, and the Quarterly Theory into a unified system, this approach shifts the focus from reactive trading to anticipatory analysis—anchored in time, structure, and liquidity.
What makes Doubling Theory stand out is its logical synergy of time cycles, behavioral divergence, liquidity targeting, and institutional confirmation. In both bullish and bearish scenarios, it provides clearly defined entry and exit strategies, allowing traders to engage the market with confidence, controlled risk, and deeper insight into the mechanics of price manipulation and smart money footprints.
Quarterly Theory ICT 04 [TradingFinder] SSMT 4Quarter Divergence🔵 Introduction
Sequential SMT Divergence is an advanced price-action-based analytical technique rooted in the ICT (Inner Circle Trader) methodology. Its primary objective is to identify early-stage divergences between correlated assets within precise time structures. This tool not only breaks down market structure but also enables traders to detect engineered liquidity traps before the market reacts.
In simple terms, SMT (Smart Money Technique) occurs when two correlated assets—such as indices (ES and NQ), currency pairs (EURUSD and GBPUSD), or commodities (Gold and Silver)—exhibit different reactions at key price levels (swing highs or lows). This lack of alignment is often a sign of smart money manipulation and signals a lack of confirmation in the ongoing trend—hinting at an imminent reversal or at least a pause in momentum.
In its Sequential form, SMT divergences are examined through a more granular temporal lens—between intraday quarters (Q1 through Q4). When SMT appears at the transition from one quarter to another (e.g., Q1 to Q2 or Q3 to Q4), the signal becomes significantly more powerful, often aligning with a critical phase in the Quarterly Theory—a framework that segments market behavior into four distinct phases: Accumulation, Manipulation, Distribution, and Reversal/Continuation.
For instance, a Bullish SMT forms when one asset prints a new low while its correlated counterpart fails to break the corresponding low from the previous quarter. This usually indicates absorption of selling pressure and the beginning of accumulation by smart money. Conversely, a Bearish SMT arises when one asset makes a higher high, but the second asset fails to confirm, signaling distribution or a fake-out before a decline.
However, SMT alone is not enough. To confirm a true Market Structure Break (MSB), the appearance of a Precision Swing Point (PSP) is essential—a specific candlestick formation on a lower timeframe (typically 5 to 15 minutes) that reveals the entry of institutional participants. The combination of SMT and PSP provides a more accurate entry point and better understanding of premium and discount zones.
The Sequential SMT Indicator, introduced in this article, dynamically scans charts for such divergence patterns across multiple sessions. It is applicable to various markets including Forex, crypto, commodities, and indices, and shows particularly strong performance during mid-week sessions (Wednesdays and Thursdays)—when most weekly highs and lows tend to form.
Bullish Sequential SMT :
Bearish Sequential SMT :
🔵 How to Use
The Sequential SMT (SSMT) indicator is designed to detect time and structure-based divergences between two correlated assets. This divergence occurs when both assets print a similar swing (high or low) in the previous quarter (e.g., Q3), but in the current quarter (e.g., Q4), only one asset manages to break that swing level—while the other fails to reach it.
This temporal mismatch is precisely identified by the SSMT indicator and often signals smart money activity, a market phase transition, or even the presence of an engineered liquidity trap. The signal becomes especially powerful when paired with a Precision Swing Point (PSP)—a confirming candle on lower timeframes (5m–15m) that typically indicates a market structure break (MSB) and the entry of smart liquidity.
🟣 Bullish Sequential SMT
In the previous quarter, both assets form a similar swing low.
In the current quarter, one asset (e.g., EURUSD) breaks that low and trades below it.
The other asset (e.g., GBPUSD) fails to reach the same low, preserving the structure.
This time-based divergence reflects declining selling pressure, potential absorption, and often marks the end of a manipulation phase and the start of accumulation. If confirmed by a bullish PSP candle, it offers a strong long opportunity, with stop-losses defined just below the swing low.
🟣 Bearish Sequential SMT
In the previous quarter, both assets form a similar swing high.
In the current quarter, one asset (e.g., NQ) breaks above that high.
The other asset (e.g., ES) fails to reach that high, remaining below it.
This type of divergence signals weakening bullish momentum and the likelihood of distribution or a fake-out before a price drop. When followed by a bearish PSP candle, it sets up a strong shorting opportunity with targets in the discount zone and protective stops placed above the swing high.
🔵 Settings
⚙️ Logical Settings
Quarterly Cycles Type : Select the time segmentation method for SMT analysis.
Available modes include: Yearly, Monthly, Weekly, Daily, 90 Minute, and Micro.
These define how the indicator divides market time into Q1–Q4 cycles.
Symbol : Choose the secondary asset to compare with the main chart asset (e.g., XAUUSD, US100, GBPUSD).
Pivot Period : Sets the sensitivity of the pivot detection algorithm. A smaller value increases responsiveness to price swings.
Activate Max Pivot Back : When enabled, limits the maximum number of past pivots to be considered for divergence detection.
Max Pivot Back Length : Defines how many past pivots can be used (if the above toggle is active).
Pivot Sync Threshold : The maximum allowed difference (in bars) between pivots of the two assets for them to be compared.
Validity Pivot Length : Defines the time window (in bars) during which a divergence remains valid before it's considered outdated.
🎨 Display Settings
Show Cycle :Toggles the visual display of the current Quarter (Q1 to Q4) based on the selected time segmentation
Show Cycle Label : Shows the name (e.g., "Q2") of each detected Quarter on the chart.
Show Bullish SMT Line : Draws a line connecting the bullish divergence points.
Show Bullish SMT Label : Displays a label on the chart when a bullish divergence is detected.
Bullish Color : Sets the color for bullish SMT markers (label, shape, and line).
Show Bearish SMT Line : Draws a line for bearish divergence.
Show Bearish SMT Label : Displays a label when a bearish SMT divergence is found.
Bearish Color : Sets the color for bearish SMT visual elements.
🔔 Alert Settings
Alert Name : Custom name for the alert messages (used in TradingView’s alert system).
Message Frequency :
All: Every signal triggers an alert.
Once Per Bar: Alerts once per bar regardless of how many signals occur.
Per Bar Close: Only triggers when the bar closes and the signal still exists.
Time Zone Display : Choose the time zone in which alert timestamps are displayed (e.g., UTC).
Bullish SMT Divergence Alert : Enable/disable alerts specifically for bullish signals.
Bearish SMT Divergence Alert : Enable/disable alerts specifically for bearish signals
🔵 Conclusion
The Sequential SMT (SSMT) indicator is a powerful and precise tool for identifying structural divergences between correlated assets within a time-based framework. Unlike traditional divergence models that rely solely on sequential pivot comparisons, SSMT leverages Quarterly Theory, in combination with concepts like liquidity sweeps, market structure breaks (MSB) and precision swing points (PSP), to provide a deeper and more actionable view of market dynamics.
By using SSMT, traders gain not only the ability to identify where divergence occurs, but also when it matters most within the market cycle. This empowers them to anticipate major moves or traps before they fully materialize, and position themselves accordingly in high-probability trade zones.
Whether you're trading Forex, crypto, indices, or commodities, the true strength of this indicator is revealed when used in sync with the Accumulation, Manipulation, Distribution, and Reversal phases of the market. Integrated with other confluence tools and market models, SSMT can serve as a core component in a professional, rule-based, and highly personalized trading strategy.
SuperTrend Momentum OscillatorOverview
The SuperTrend Momentum Oscillator (SMO) is a powerful technical analysis tool designed to identify trend direction and strength in financial markets. It combines short-term and long-term oscillator calculations to provide traders with a comprehensive view of market conditions through an intuitive candle-based visualization system.
Key Features
Dual-period oscillator system (short-term and long-term)
Candle-based visualization showing trend direction and alignment
Color-coded trend direction based on the main (slower) trend line
Candle size reflecting alignment between fast and slow components
High-confidence "Super" signals (green diamonds for buys, purple diamonds for sells)
Market liquidity insights through oscillator readings
Understanding the Candle Visualization
Main Trend vs. Fast Money
The SMO uses two key components that work together:
Main Trend Line (Slower): The longer-period oscillator that acts as the primary trend indicator
Dictates the overall color of the candles (green for uptrend, red for downtrend)
Represents the dominant market direction
Fast Line (Quicker): The shorter-period oscillator that reacts more quickly to price changes
Helps determine the size of candles through its alignment with the main trend
Represents "fast money" or shorter-term price reactions
Candle Components and Their Meaning
1. Candle Color
The color of each candle is determined by the direction of the main trend line:
Green Candles: Main trend line is rising (bullish)
Indicates an overall uptrend regardless of short-term fluctuations
Remains green even when the fast line temporarily moves against the trend
Red Candles: Main trend line is falling (bearish)
Indicates an overall downtrend regardless of short-term fluctuations
Remains red even when the fast line temporarily moves against the trend
2. Candle Body Size
The body size of each candle represents the alignment between fast and main trend lines:
Large Bodies: Both fast and main trend lines are moving in the same direction
Trading Action: Strong confirmation of the trend direction
Confidence Level: High confidence signals
Small Bodies: Fast line is moving against the main trend line
Trading Action: Exercise caution; potential for temporary pullback or consolidation
Confidence Level: Lower confidence in immediate continuation
3. Wick Length
Wicks (shadows) provide additional information about price rejection and volatility:
Long Wicks: Indicate price rejection and potential volatility
Trading Action: Be cautious of trend continuation when long wicks appear
Confidence Level: Reduced confidence in immediate trend continuation
Short Wicks: Indicate strong directional control with minimal rejection
Trading Action: More confidence in trend continuation
Confidence Level: Higher confidence in the current trend direction
Candle Patterns Over Time
The progression of candles provides valuable trend information:
Large Green Candles: Main trend is up and fast line confirms (strong bullish)
Trading Action: Consider entering or adding to long positions
Confidence Level: High confidence in uptrend
Small Green Candles: Main trend is up but fast line is moving down (caution in uptrend)
Trading Action: Hold existing long positions but wait before adding
Confidence Level: Moderate confidence in uptrend, possible short-term pullback
Large Red Candles: Main trend is down and fast line confirms (strong bearish)
Trading Action: Consider entering or adding to short positions
Confidence Level: High confidence in downtrend
Small Red Candles: Main trend is down but fast line is moving up (caution in downtrend)
Trading Action: Hold existing short positions but wait before adding
Confidence Level: Moderate confidence in downtrend, possible short-term bounce
Super Signals - High Confidence Trading Opportunities
The SMO focuses exclusively on high-confidence "Super" signals:
Green Diamond Super Buy Signals
Meaning: Both short-term and long-term oscillators are generating buy signals simultaneously
Visual Indicator: Green diamond markers at the bottom of the indicator (0 level)
Trading Action: Strong entry signal for long positions
Confidence Level: High confidence signal, especially when accompanied by large green candles
Purple Diamond Super Sell Signals
Meaning: Both short-term and long-term oscillators are generating sell signals simultaneously
Visual Indicator: Purple diamond markers at the top of the indicator (100 level)
Trading Action: Strong entry signal for short positions or exit signal for long positions
Confidence Level: High confidence signal, especially when accompanied by large red candles
Market Liquidity Concept
The SMO provides a unique perspective on market conditions that goes beyond traditional oscillator interpretations:
Low Oscillator Readings (Below 20)
When the oscillator shows low readings (below 20), this indicates:
Traditional interpretation: Market is oversold, potential for upward reversal
Liquidity interpretation: Insufficient money in the market
This suggests thin trading conditions where large orders may have outsized impact
Price movements may be more erratic and less predictable
Breakouts may lack follow-through due to insufficient participation
High Oscillator Readings (Above 80)
When the oscillator shows high readings (above 80), this indicates:
Traditional interpretation: Market is overbought, potential for downward reversal
Liquidity interpretation: Abundant money in the market
This suggests deep trading conditions with high participation
Price movements tend to be more orderly and trend-based
Breakouts may have stronger follow-through due to high participation
Trading Strategies with SMO
Strategy 1: Main Trend with Alignment Confirmation
This strategy uses the main trend direction with alignment confirmation:
Entry Criteria:
Main trend direction is established (green or red candles)
Fast line aligns with main trend (large candles)
Super signal confirms (green or purple diamond)
Exit Criteria:
For long positions: When candles turn red or Super Sell signal appears
For short positions: When candles turn green or Super Buy signal appears
Stop Loss Placement:
For long positions: Below recent swing low
For short positions: Above recent swing high
Strategy 2: Counter-Trend Opportunity Detection
This strategy identifies potential counter-trend opportunities:
Entry Criteria:
Small candles appear (indicating disagreement between fast and main trend lines)
Oscillator reaches extreme levels (above 80 or below 20)
Wait for candle color change before entering
Position Sizing:
Use smaller position sizes for counter-trend trades
Increase size only when main trend confirms the new direction
Exit Criteria:
Take profit at the first sign of alignment in the opposite direction
Use tighter stops than with trend-following trades
Strategy 3: Market Liquidity Strategy
This strategy incorporates the market liquidity concept:
For Low Liquidity Conditions (Readings below 20):
Wait for Super Buy signals (green diamond)
Use smaller position sizes
Be prepared for potentially erratic price movements
Look for signs of increasing liquidity (expanding candle bodies) before adding to positions
For High Liquidity Conditions (Readings above 80):
Consider holding positions longer despite "overbought" readings
Use trailing stops to capture extended moves
Be aware that trends may persist longer than expected
Practical Trading Scenarios
Scenario 1: Strong Trend Confirmation
Candle Pattern: Series of large green candles (main trend up, fast line confirms)
Signal: Green diamond Super Buy marker at the bottom (0 level)
Background: Intensifying green gradient
Action: Enter long position with confidence
Stop Loss: Below recent swing low
Take Profit: When candles become small or turn red
Scenario 2: Trend Weakening Detection
Candle Pattern: Green candles becoming smaller (main trend still up, but fast line diverging)
Signal: No new signals
Background: Fading green gradient
Action: Tighten stops on long positions, prepare for potential reversal
Reasoning: Fast money is starting to move against the main trend
Scenario 3: Trend Reversal Identification
Candle Pattern: Transition from small green candles to red candles (main trend changing)
Signal: Appearance of purple diamond Super Sell marker at the top (100 level)
Background: Changing from green to red gradient
Action: Exit long positions and potentially enter short positions
Timing: Most effective when reversal occurs near overbought (80) level
OBV & AD Oscillators with Dual Smoothing OptionsOn Balance Volume and Accumulation/Distribution
Overlaid into 1 and then some,
Now it is an oscillator!
3 customizable moving average types
- Ehlers Deviation Scaled Moving Average
- Volatility Dynamic Moving Average
- Simple Moving Average
Each with customizable periods
And with the ability to overlay a second set too
Default Settings have a longer period MA of 377 using Ehlers DSMA to better capture the standard view of OBV and A/D.
An extra overlay of a shorter period using a Volatility DMA uses Average True Range with its own custom settings, seeks to act more as an RSI
Accumulation-Distribution CandlesThis structural visualization tool maps each candle through the lens of Effort vs. Result, blending Volume, Range, and closing bias into a normalized pressure score. Candle bodies are dynamically color-coded using a five-tier system—from heavy accumulation to heavy distribution—revealing where energy is building, dispersing, or neutral. This helps to visually isolate Markup, Markdown, Re-accumulation, and Distribution at a glance.
The indicator calculates a strength score by multiplying price result (close minus open) by effort (volume or price range), smoothing this raw value using a Fibonacci-based EMA. (34 for standard, 55 for crypto; the higher crypto value acknowledges that 24/7 trading offers more hours per week or month than trad markets.) The result is standardized against its rolling deviation and clamped to a range. This score determines the visual tier:
• 💙 Dark Blue = heavy Accumulation (strong upward result on strong effort)
• 🩵 Pale Blue = mild Accumulation
• 🌚 Gray = neutral (low conviction or balance)
• 💛 Pale Yellow = mild Distribution
• 🧡 Deep Yellow = heavy Distribution (strong downward result on strong effort)
The tool is optimized for the 1D chart, where Wyckoff phases are most clearly expressed. However, it adapts well to lower timeframes when used selectively. Traders may hide the body coloring and enable only zone highlighting to preserve other candle overlays such as SUPeR TReND 2.718, which offers directional clarity and trend duration. This combination is especially useful on intraday charts (15m–1H) where microstructure matters but visual clutter must be avoided.
When used alongside other Volume overlays (such as the OBVX Conviction Bias) or Volatility indicators (such as the Asymmetric Turbulence Ribbon (ATR)), this indicator adds confluence to directional setups by contextualizing pressure with Volatility. For example: compression zones marked by ATR may align with persistent pale blue candles—indicating quiet Accumulation before expansion.
Optional Overlays:
Normally ON -
• 📌 Pin Bars , filtered by volume, to isolate wick-dominant reversals from key zones
• 💪🏻 Strong-Body Candles — fuchsia candles w/ high body-to-range ratio reflect conviction
• 🧯 Wick Absorption Candles — red candles w/ long wicks and low closing strength indicate failed pushes or absorbed breakouts
• 🟦/🟧 Zone Highlighting for candles above a defined Accumulation/Distribution threshold
Normally OFF -
• 🔺 Fractals (5-bar) to map swing pivots by underlying pressure tier (normally OFF)
• 🟥/🟩 Engulfing patterns, filtered by directional conviction (normally OFF)
The Pin Bar strategy benefits most from the zone logic—when a bullish pin bar appears in an Accumulation zone (esp. pale or dark blue), and Volume exceeds its rolling average, it may mark a spring or failed breakdown. Conversely, bearish pins in Distribution zones can mark rejection or resistance.
This is not a signal engine—it’s a narrative filter designed to slot cleanly into a multi-layered workflow of visual structure and informed execution. Use it to identify bias and phase. Then deploy trade triggers from tools like SUPeR TReND 2.718, or the liquidity flows shown the The Silver Lining or the AltSeasonality - MTF indicators, for example. The candle colors tell you who’s in control—the other tools tell you when to act.