Auto Darvas Boxes## AUTO DARVAS BOXES
---
### OVERVIEW
**Auto Darvas Boxes** is a fully-automated, event-driven implementation of Nicolas Darvas’s 1950s box methodology.
The script tracks consolidation zones in real time, verifies that price truly “respects” those zones for a fixed validation window, then waits for the first decisive range violation to mark a directional breakout.
Every box is plotted end-to-end—from the first candle of the sideways range to the exact candle that ruptures it—giving you an on-chart, visually precise record of accumulation or distribution and the expansion that follows.
---
### HISTORICAL BACKGROUND
* Nicolas Darvas was a professional ballroom dancer who traded U.S. equities by telegram while touring the world.
* Without live news or Level II, he relied exclusively on **price** to infer institutional intent.
* His core insight: true market-moving entities leave footprints in the form of tight ranges; once their buying (or selling) is complete, price erupts out of the “box.”
* Darvas’s original procedure was manual—he kept notebooks, drew rectangles around highs and lows, and entered only when price punched out of the roof of a valid box.
* This indicator distills that logic into a rolling, self-resetting state machine so you never miss a box or breakout on any timeframe.
---
### ALGORITHM DETAIL (FOUR-STATE MACHINE)
**STATE 0 – RANGE DEFINITION**
• Examine the last *N* candles (default 7).
• Record `rangeHigh = highest(high, N) + tolerance`.
• Record `rangeLow = lowest(low, N) – tolerance`.
• Remember the index of the earliest bar in this window (`startBar`).
• Immediately transition to STATE 1.
**STATE 1 – RANGE VALIDATION**
• Observe the next *N* candles (again default 7).
• If **any** candle prints `high > rangeHigh` or `low < rangeLow`, the validation fails and the engine resets to STATE 0 **beginning at the violating candle**—no halfway boxes, no overlap.
• If all *N* candles remain inside the range, the box becomes **armed** and we transition to STATE 2.
**STATE 2 – ARMED (LIVE VISUAL FEEDBACK)**
• Draw a **green horizontal line** at `rangeHigh`.
• Draw a **red horizontal line** at `rangeLow`.
• Lines are extended in real time so the user can see the “live” Darvas ceiling and floor.
• Engine waits indefinitely for a breakout candle:
– **Up-Breakout** if `high > rangeHigh`.
– **Down-Breakout** if `low < rangeLow`.
**STATE 3 – BREAKOUT & COOLDOWN**
• Upon breakout the script:
1. Deletes the live range lines.
2. Draws a **filled rectangle (box)** from `startBar` to the breakout bar.
◦ **Green fill** when price exits above the ceiling.
◦ **Red fill** when price exits below the floor.
3. Optionally prints two labels at the left edge of the box:
◦ Dollar distance = `rangeHigh − rangeLow`.
◦ Percentage distance = `(rangeHigh − rangeLow) / rangeLow × 100 %`.
• After painting, the script waits a **user-defined cooldown** (default = 7 bars) before reverting to STATE 0. The cooldown guarantees separation between consecutive tests and prevents overlapping rectangles.
---
### INPUT PARAMETERS (ALL ADJUSTABLE FROM THE SETTINGS PANEL)
* **BARS TO DEFINE RANGE** – Number of candles used for both the definition and validation windows. Classic Darvas logic uses 7 but feel free to raise it on higher timeframes or volatile instruments.
* **OPTIONAL TOLERANCE** – Absolute price buffer added above the ceiling and below the floor. Use a small tolerance to ignore single-tick spikes or data-feed noise.
* **COOLDOWN BARS AFTER BREAKOUT** – How long the engine pauses before hunting for the next consolidation. Setting this equal to the range length produces non-overlapping, evenly spaced boxes.
* **SHOW BOX DISTANCE LABELS** – Toggle on/off. When on, each completed box displays its vertical size in both dollars and percentage, anchored at the box’s left edge.
---
### REAL-TIME VISUALISATION
* During the **armed** phase you see two extended, colour-coded guide-lines showing the exact high/low that must hold.
* When the breakout finally occurs, those lines vanish and the rectangle instantly appears, coloured to match the breakout direction.
* This immediate visual feedback turns any chart into a live Darvas tape—no manual drawing, no lag.
---
### PRACTICAL USE-CASES & BEST-PRACTICE WORKFLOWS
* **INTRADAY MOMENTUM** – Drop the script on 1- to 15-minute charts to catch tight coils before they explode. The coloured box marks the precise origin of the expansion; stops can sit just inside the opposite side of the box.
* **SWING & POSITION TRADING** – On 4-hour or daily charts, boxes often correspond to accumulation bases or volatility squeezes. Waiting for the box-validated breakout filters many false signals.
* **MEAN-REVERSION OR “FADE” STRATEGIES** – If a breakout immediately fails and price re-enters the box, you may have trapped momentum traders; fading that failure can be lucrative.
* **RISK MANAGEMENT** – Box extremes provide objective, structure-based stop levels rather than arbitrary ATR multiples.
* **BACK-TEST RESEARCH** – Because each box is plotted from first range candle to breakout candle, you can programmatically measure hold time, range height, and post-breakout expectancy for any asset.
---
### CUSTOMISATION IDEAS FOR POWER USERS
* **VOLATILITY-ADAPTIVE WINDOW** – Replace the fixed 7-bar length with a dynamic value tied to ATR percentile so the consolidation window stretches or compresses with volatility.
* **MULTI-TIMEFRAME LOGIC** – Only arm a 5-minute box if the 1-hour trend is aligned.
* **STRATEGY WRAPPER** – Convert the indicator to a full `strategy{}` script, automate entries on breakouts, and benchmark performance across assets.
* **ALERTS** – Create TradingView alerts on both up-breakout and down-breakout conditions; route them to webhook for broker automation.
---
### FINAL THOUGHTS
**Auto Darvas Boxes** packages one of the market’s oldest yet still potent price-action frameworks into a modern, self-resetting indicator. Whether you trade equities, futures, crypto, or forex, the script highlights genuine contraction-expansion sequences—Darvas’s original “boxes”—with zero manual effort, letting you focus solely on execution and risk.
Komut dosyalarını "breakout" için ara
IB One‑Way Break & Retrace (Chicago 5m)What It Tracks
Initial Balance (IB) Range
Defined as the high/low from 08 : 30 – 09 : 30 Chicago time each day.
Plotted as steplines on your chart (“IB High” in aqua, “IB Low” in fuchsia).
Session Window
Monitors price from 09 : 30 – 15 : 00 Chicago time (the remainder of the regular day).
Break Classification
Held: Price never breaches the IB high or low during the session.
One‑Way Break: Price breaks one side of the IB (high or low) but doesn’t break the opposite side.
Discarded: Price breaks both sides of the IB—in which case the day is skipped from all statistics.
Retracement Measurement
For “One‑Way Break” days only, measures how far price retraces back into the IB range (as a percentage of the IB width).
Retracement values are capped at 100% (so extreme extensions beyond the IB don’t inflate averages).
Labeling on the Chart
Held days are marked with an orange “Held” label at the unbroken IB edge.
One‑Way Break days are marked at the furthest pullback point with a green (if upside break) or red (if downside break) label showing the retrace % (e.g. “37.5%”).
Discarded days (both‑side breaks) get a gray “Discard” label.
Summary Table (Top‑Right)
Bucket Count % Sessions Avg Ret%
Total Sessions X 100.0% Y.Y%
Held H H/Total 0.0%
Breakouts B B/Total A.A%
Discarded D D/Total –
0–20% Retrace E0 E0/B Avg0%
20–40% Retrace E1 E1/B Avg1%
40–60% Retrace E2 E2/B Avg2%
60–80% Retrace E3 E3/B Avg3%
≥80% Retrace E4 E4/B Avg4%
Count: Number of days in each category.
% Sessions: That count divided by Total Sessions.
Avg Ret%: Average retracement on only those days. (Held and Discarded rows show 0% or blank.)
How to Use
Held days indicate a very tight IB that never gave way—these can signal strong balance before a later move.
One‑Way Breakouts show directional moves that retraced back into the IB by some amount. Use the retrace % buckets to gauge typical pullback sizes after breakout.
Discarded days (both‑side breaches) are volatile or whipsaw days—excluded from your retracement analysis.
By filtering out those whipsaw sessions and focusing on clean one‑way breaks, you get a clearer picture of how deep retracements tend to be after true breakout moves.
Dynamic RSI Regression Bands (Zeiierman)█ Overview
The Dynamic RSI Regression Bands (Zeiierman) is a regression channel tool that dynamically resets based on RSI overbought and oversold conditions. It adapts to trend shifts in real time, creating a highly responsive regression framework that visualizes market sentiment and directional momentum with every RSI-triggered event.
Unlike static regression models, this indicator recalibrates its slope and deviation bands only after the RSI crosses predefined thresholds, helping traders pinpoint new phases of momentum, exhaustion, or reversal.
You’re not just measuring the trend — you’re tracking when and where the trend deserves to be re-evaluated.
█ The Assumption:
"A major momentum shift (RSI crossing OB/OS) signals a potential regime change, and thus, the trend model should be recalibrated from that point."
Instead of using a fixed-length regression (which assumes trend relevance over a static window), this script resets the regression calculation every time RSI crosses into extreme territory. The underlying idea is that extreme RSI levels often represent emotional peaks in market behavior and are statistically likely to be followed by a new price structure.
█ How It Works
⚪ RSI-Based Channel Reset
RSI is monitored continuously
If RSI crosses above the Overbought level, the indicator resets and starts a new regression channel
If RSI crosses below the Oversold level, the same reset logic applies
These events act as “anchor points” for dynamic trend analysis
⚪ Regression Channel Logic
A custom linear regression is calculated from the RSI reset point forward
The lookback grows with each bar after the reset, up to a user-defined max
Regression lines are drawn from the reset point to the current bar
⚪ Standard Deviation Bands
Upper and lower bands are plotted around the regression line using the standard deviation
These serve as dynamic volatility envelopes, great for spotting breakouts or reversals
⚪ Rejection Markers
If price hits the upper/lower band and then closes back inside it, a rejection marker is plotted
Helps visualize failed breakouts and areas of absorption or reversal pressure
█ How to Use
⚪ Detect Trend Shifts
Use the RSI resets to identify when the trend might be starting fresh.
⚪ Watch the Bands for Volatility Extremes
Use the outer bands as soft areas of potential reversal or momentum breakout.
⚪ Spot Rejections for Potential Entry Signals
If price moves outside a band but then quickly returns inside, it often means the breakout failed, and price may reverse.
█ Settings Explained
RSI Length – How many bars RSI uses. Shorter = faster.
OB / OS Levels – Crossing these triggers a regression reset.
Base Regression Length – Max number of bars regression can use post-reset.
StdDev Multiplier – Controls band width from the regression line.
Min Bars After Reset – Ensures channel doesn’t form immediately; waits for structure.
Show Reset Markers – Triangles mark where RSI crossed OB/OS.
Show Rejection Markers – Circles mark where the price rejected the channel edge.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Multi-Factor Reversal AnalyzerMulti-Factor Reversal Analyzer – Quantitative Reversal Signal System
OVERVIEW
Multi-Factor Reversal Analyzer is a comprehensive technical analysis toolkit designed to detect market tops and bottoms with high precision. It combines trend momentum analysis, price action behavior, wave oscillation structure, and volatility breakout potential into one unified indicator.
This indicator is not a random mix of tools — each module is carefully selected for a specific purpose. When combined, they form a multi-dimensional view of the market, merging trend analysis, momentum divergence, and volatility compression to produce high-confidence signals.
Why Combine These Modules?
Module Combination Ideas & How to Use Them
Factor A: Trend Detector + Gold Zone
Concept:
• The Trend Detector (light yellow histogram) evaluates market strength:
• Histogram trending downward or staying below 50 → bearish conditions;
• Trending upward or staying above 50 → bullish conditions.
• The Gold Zone identifies areas of volatility compression — typically a prelude to explosive market moves.
Practical Application:
• When the Gold Zone appears and the Trend Detector is bearish → likely downside move;
• When the Gold Zone appears and the Trend Detector is bullish → likely upside breakout.
• Note: The Gold Zone does not mean the bottom is in. It is not a buy signal on its own — always combine it with other modules for directional bias.
Factor B: PAI + Wave Trend
Concept:
• PAI (Price Action Index) is a custom oscillator that combines price momentum with volatility dispersion, displaying strength zones:
• Green area → bullish dominance;
• Red area → bearish pressure.
• Wave Trend offers smoothed crossover signals via the main and signal lines.
Practical Application:
• When PAI is in the green zone and Wave Trend makes a bullish crossover → potential reversal to the upside;
• When PAI is in the red zone and Wave Trend shows a bearish crossover → potential start of a downtrend.
Factor C: Trend Detector + PAI
Concept:
• Combines directional trend strength with price action strength to confirm setups via confluence.
Practical Application:
• Trend Detector histogram bottoms out + PAI enters the green zone → high chance of upward reversal;
• Histogram tops out + PAI in the red zone → increased likelihood of downside continuation.
Multi-Factor Confluence (Advanced Use)
• When Trend Detector, PAI, and Wave Trend all align in the same direction (bullish or bearish), the directional signal becomes significantly more reliable.
• This setup is especially useful for trend-following or swing trade entries.
KEY FEATURES
1. Multi-Layer Reversal Logic
• Combines trend scoring, oscillator divergence, and volatility squeezes for triangulated reversal detection.
• Helps traders distinguish between trend pullbacks and true reversals.
2. Advanced Divergence Detection
• Detects both regular and hidden divergences using pivot-based confirmation logic.
• Customizable lookback ranges and pivot sensitivity provide flexible tuning for different market styles.
3. Gold Zone Volatility Compression
• Highlights pre-breakout zones using custom oscillation models (RSI, harmonic, Karobein, etc.).
• Improves anticipation of breakout opportunities following low-volatility compressions.
4. Trend Direction Context
• PAI and Trend Score components provide top-down insight into prevailing bias.
• Built-in “Straddle Area” highlights consolidation zones; breakouts from this area often signal new trend phases.
5. Flexible Visualization
• Color-coded trend bars, reversal markers, normalized oscillator plots, and trend strength labels.
• Designed for both visual discretionary traders and data-driven system developers.
USAGE GUIDELINES
1. Applicable Markets
• Suitable for stocks, crypto, futures, and forex
• Supports reversal, mean-reversion, and breakout trading styles
2. Recommended Timeframes
• Short-term traders: 5m / 15m / 1H — use Wave Trend divergence + Gold Zone
• Swing traders: 4H / Daily — rely on Price Action Index and Trend Detector
• Macro trend context: use PAI HTF mode for higher timeframe overlays
3. Reversal Strategy Flow
• Watch for divergence (WT/PAI) + Gold Zone compression
• Confirm with Trend Score weakening or flipping
• Use Straddle Area breakout for final trigger
• Optional: enable bar coloring or labels for visual reinforcement
• The indicator performs optimally when used in conjunction with a harmonic pattern recognition tool
4. Additional Note on the Gold Zone
The “Gold Zone” does not directly indicate a market bottom. Since it is displayed at the bottom of the chart, it may be misunderstood as a bullish signal. In reality, the Gold Zone represents a compression of price momentum and volatility, suggesting that a significant directional move is about to occur. The direction of that move—upward or downward—should be determined by analyzing the histogram:
• If histogram momentum is weakening, the Gold Zone may precede a downward move.
• If histogram momentum is strengthening, it may signal an upcoming rebound or rally.
Treat the Gold Zone as a warning of impending volatility, and always combine it with trend indicators for accurate directional judgment.
RISK DISCLAIMER
• This indicator calculates trend direction based on historical data and cannot guarantee future market performance. When using this indicator for trading, always combine it with other technical analysis tools, fundamental analysis, and personal trading experience for comprehensive decision-making.
• Market conditions are uncertain, and trend signals may result in false positives or lag. Traders should avoid over-reliance on indicator signals and implement stop-loss strategies and risk management techniques to reduce potential losses.
• Leverage trading carries high risks and may result in rapid capital loss. If using this indicator in leveraged markets (such as futures, forex, or cryptocurrency derivatives), exercise caution, manage risks properly, and set reasonable stop-loss/take-profit levels to protect funds.
• All trading decisions are the sole responsibility of the trader. The developer is not liable for any trading losses. This indicator is for technical analysis reference only and does not constitute investment advice.
• Before live trading, it is recommended to use a demo account for testing to fully understand how to use the indicator and apply proper risk management strategies.
CHANGELOG
v1.0: Initial release featuring integrated Price Action Index, Trend Strength Scoring, Wave Trend Oscillator, Gold Zone Compression Detection, and dual-type divergence recognition. Supports higher timeframe (HTF) synchronization, visual signal markers, and diversified parameter configurations.
Auto Support Resistance Channels [TradingFinder] Top/Down Signal🔵 Introduction
In technical analysis, a price channel is one of the most widely used tools for identifying and tracking price trends. A price channel consists of two parallel trendlines, typically drawn from swing highs (resistance) and swing lows (support). These lines define dynamic support and resistance zones and provide a clear framework for interpreting price fluctuations.
Drawing a channel on a price chart allows the analyst to more precisely identify entry points, exit levels, take-profit zones, and stop-loss areas based on how the price behaves within the boundaries of the channel.
Price channels in technical analysis are generally categorized into three types: upward channels with a positive slope, downward channels with a negative slope, and horizontal (range-bound) channels with near-zero slope. Each type offers unique insights into market behavior depending on the price structure and prevailing trend.
Structurally, channels can be formed using either minor or major pivot points. A major channel typically reflects a stronger, more reliable structure that appears on higher timeframes, whereas a minor channel often captures short-term fluctuations or corrective movements within a larger trend.
For instance, a major downward channel may indicate sustained selling pressure across the market, while a minor upward channel could represent a temporary pullback within a broader bearish trend.
The validity of a price channel depends on several factors, including the number of price touches on the channel lines, the symmetry and parallelism of the trendlines, the duration of price movement within the channel, and price behavior around the median line.
When a price channel is broken, it is generally expected that the price will move in the breakout direction by at least the width of the channel. This makes price channels especially useful in breakout analysis.
In the following sections, we will explore the different types of price channels, how to draw them accurately, the structural differences between minor and major channels, and key trade interpretations when price interacts with channel boundaries.
Up Channel :
Down Channel :
🔵 How to Use
A price channel is a practical tool in technical analysis for identifying areas of support, resistance, trend direction, and potential breakout zones. The structure consists of two parallel trendlines within which price fluctuates.
Traders use the relative position of price within the channel to make informed trading decisions. The two primary strategies include range-based trades (buying low, selling high) and breakout trades (entering when price exits the channel).
🟣 Up Channel
In an upward channel, price moves within a positively sloped range. The lower trendline acts as dynamic support, while the upper trendline serves as dynamic resistance. A common strategy involves buying near the lower support and taking profit or selling near the upper resistance.
If price breaks below the lower trendline with strong volume or a decisive candle, it can signal a potential trend reversal. Channels constructed from major pivots generally reflect dominant uptrends, while those based on minor pivots are often corrective structures within a broader bearish movement.
🟣 Down Channel
In a downward channel, price moves between two negatively sloped lines. The upper trendline functions as resistance, and the lower trendline as support. Ideal entry for short trades occurs near the upper boundary, especially when confirmed by bearish price action or a resistance level.
Exit targets are typically located near the lower support. If the upper boundary is broken to the upside, it may be an early sign of a bullish trend reversal. Like upward channels, a major down channel represents broader selling pressure, while a minor one may indicate a brief retracement in a bullish move.
🟣 Range Channel
A horizontal or range-bound channel is characterized by price oscillating between two nearly flat lines. This type of channel typically appears during sideways markets or periods of consolidation.
Traders often buy near the lower boundary and sell near the upper boundary to take advantage of contained volatility. However, fake breakouts are more frequent in range-bound structures, so it is important to wait for confirmation through candlestick signals and volume. A confirmed breakout beyond the channel boundaries can justify entering a trade in the direction of the breakout.
🔵 Settings
Pivot Period :This parameter defines how sensitive the channel detection is. A higher value causes the algorithm to identify major pivot points, resulting in broader and longer-term channels. Lower values focus on minor pivots and create tighter, short-term channels.
🔔 Alerts
Alert Configuration :
Enable or disable the full alert system
Set a custom alert name
Choose the alert frequency: every time, once per bar, or on bar close
Define the time zone for alert timestamps (e.g., UTC)
Channel Alert Types :
Each channel type (Major/Minor, Internal/External, Up/Down) supports two alert types :
Break Alert : Triggered when price breaks above or below the channel boundaries
React Alert : Triggered when price touches and reacts (bounces) off the channel boundary
🎨 Display Settings
For each of the eight channel types, you can customize:
Visibility : show or hide the channel
Auto-delete previous channels when new ones are drawn
Style : line color, thickness, type (solid, dashed, dotted), extension (right only, both sides)
🔵 Conclusion
The price channel is a foundational structure in technical analysis that enables traders to analyze price movement, identify dynamic support and resistance zones, and locate potential entry and exit points with greater precision.
When constructed properly using minor or major pivots, a price channel offers a consistent and intuitive framework for interpreting market behavior—often simpler and more visually clear than many other technical tools.
Understanding the differences between upward, downward, and range-bound channels—as well as recognizing the distinctions between minor and major structures—is critical for selecting the right trading strategy. Upward channels tend to generate buying opportunities, downward channels prioritize short setups, and horizontal channels provide setups for both mean-reversion and breakout trades.
Ultimately, the reliability of a price channel depends on various factors such as the number of touchpoints, the duration of the channel, the parallelism of the lines, and how the price reacts to the median line.
By taking these factors into account, an experienced analyst can effectively use price channels as a powerful tool for trend forecasting and precise trade execution. Although conceptually simple, successful application of price channels requires practice, pattern recognition, and the ability to filter out market noise.
SMC+The "SMC+" indicator is a comprehensive tool designed to overlay key Smart Money Concepts (SMC) levels, support/resistance zones, order blocks (OB), fair value gaps (FVG), and trap detection on your TradingView chart. It aims to assist traders in identifying potential areas of interest based on price action, swing structures, and volume dynamics across multiple timeframes. This indicator is fully customizable, allowing users to adjust lookback periods, colors, opacity, and sensitivity to suit their trading style.
Key Components and Functionality
1. Key Levels (Support and Resistance)
This section plots horizontal lines representing support and resistance levels based on highs and lows over three distinct lookback periods, plus daily nearest levels.
Short-Term Lookback Period (Default: 20 bars)
Plots the highest high (short_high) and lowest low (short_low) over the specified period.
Visualized as dotted lines with customizable colors (Short-Term Resistance Color, Short-Term Support Color) and opacity (Short-Term Resistance Opacity, Short-Term Support Opacity).
Adjustment Tip: Increase the lookback (e.g., to 30-50) for less frequent but stronger levels on higher timeframes, or decrease (e.g., to 10-15) for scalping on lower timeframes.
Long-Term Lookback Period (Default: 50 bars)
Plots broader support (long_low) and resistance (long_high) levels using a solid line style.
Customizable via Long-Term Resistance Color, Long-Term Support Color, and their respective opacity settings.
Adjustment Tip: Extend to 100-200 bars for swing trading or major trend analysis on daily/weekly charts.
Extra-Long Lookback Period (Default: 100 bars)
Identifies significant historical highs (extra_long_high) and lows (extra_long_low) with dashed lines.
Configurable with Extra-Long Resistance Color, Extra-Long Support Color, and opacity settings.
Adjustment Tip: Use 200-500 bars for monthly charts to capture macro-level key zones.
Daily Nearest Resistance and Support Levels
Dynamically calculates the nearest resistance (daily_res_level) and support (daily_sup_level) based on the current day’s price action relative to historical highs and lows.
Displayed with Daily Resistance Color and Daily Support Color (with opacity options).
Adjustment Tip: Works best on intraday charts (e.g., 15m, 1h) to track daily pivots; combine with volume profile for confirmation.
How It Works: These levels update dynamically as new highs/lows form, providing a visual guide to potential reversal or breakout zones.
2. SMC Inputs (Smart Money Concepts)
This section identifies swing structures, order blocks, fair value gaps, and entry signals based on SMC principles.
SMC Swing Lookback Period (Default: 12 bars)
Defines the period for detecting swing highs (smc_swing_high) and lows (smc_swing_low).
Adjustment Tip: Increase to 20-30 for smoother swings on higher timeframes; reduce to 5-10 for faster signals on lower timeframes.
Minimum Swing Size (%) (Default: 0.5%)
Filters out minor price movements to focus on significant swings.
Adjustment Tip: Raise to 1-2% for volatile markets (e.g., crypto) to avoid noise; lower to 0.2-0.3% for forex pairs with tight ranges.
Order Block Sensitivity (Default: 1.0)
Scales the size of detected order blocks (OBs) for bullish reversal (smc_ob_bull), bearish reversal (smc_ob_bear), and continuation (smc_cont_ob).
Visuals include customizable colors, opacity, border thickness, and blinking effects (e.g., SMC Bullish Reversal OB Color, SMC Bearish Reversal OB Blink Thickness).
Adjustment Tip: Increase to 1.5-2.0 for wider OBs in choppy markets; keep at 1.0 for precision in trending conditions.
Minimum FVG Size (%) (Default: 0.3%)
Sets the minimum gap size for Fair Value Gaps (fvg_high, fvg_low), displayed as boxes with Fair Value Gap Color and FVG Opacity.
Adjustment Tip: Increase to 0.5-1% for larger, more reliable gaps; decrease to 0.1-0.2% for scalping smaller inefficiencies.
How It Works:
Bullish Reversal OB: Detects a bearish candle followed by a bullish break, marking a potential demand zone.
Bearish Reversal OB: Identifies a bullish candle followed by a bearish break, marking a supply zone.
Continuation OB: Spots strong bullish momentum after a prior high, indicating a continuation zone.
FVG: Highlights bullish gaps where price may retrace to fill.
Entry Signals: Plots triangles (SMC Long Entry) when price retests an OB with a liquidity sweep or break of structure (BOS).
3. Trap Inputs
This section detects potential bull and bear traps based on price action, volume, and key level rejections.
Min Down Move for Bear Trap (%) (Default: 1.0%)
Sets the minimum drop required after a bearish OB to qualify as a trap.
Visualized with Bear Trap Color, Bear Trap Opacity, and blinking borders.
Adjustment Tip: Increase to 2-3% for stronger traps in trending markets; lower to 0.5% for ranging conditions.
Min Up Move for Bull Trap (%) (Default: 1.0%)
Sets the minimum rise required after a bullish OB to flag a trap.
Customizable with Bull Trap Color, Bull Trap Border Thickness, etc.
Adjustment Tip: Adjust similarly to bear traps based on market volatility.
Volume Lookback for Traps (Default: 5 bars)
Compares current volume to a moving average (avg_volume) to filter low-volume traps.
Adjustment Tip: Increase to 10-20 for confirmation on higher timeframes; reduce to 3 for intraday sensitivity.
How It Works:
Bear Trap: Triggers when price drops significantly after a bearish OB but reverses up with low volume or support rejection.
Bull Trap: Activates when price rises after a bullish OB but fails with low volume or resistance rejection.
Boxes highlight trap zones, resetting when price breaks out.
4. Visual Customization
Line Width (Default: 2)
Adjusts thickness of support/resistance lines.
Tip: Increase to 3-4 for visibility on cluttered charts.
Blink On (Default: Close)
Sets whether OB/FVG borders blink based on Open or Close price interaction.
Tip: Use "Open" for intraday precision; "Close" for confirmed reactions.
Colors and Opacity: Each element (OBs, FVGs, traps, key levels) has customizable colors, opacity (0-100), border thickness (1-5 or 1-7), and blink effects for dynamic visualization.
How to Use SMC+
Setup: Apply the indicator to any chart and adjust inputs based on your timeframe and market.
Key Levels: Watch for price reactions at short, long, extra-long, or daily levels for potential reversals or breakouts.
SMC Signals: Look for entry signals (triangles) near OBs or FVGs, confirmed by liquidity sweeps or BOS.
Traps: Avoid false breakouts by monitoring trap boxes, especially near key levels with low volume.
Notes:
This indicator is a visual aid and does not guarantee trading success. Combine it with other analysis tools and risk management strategies.
Performance may vary across markets and timeframes; test settings thoroughly before use.
For optimal results, experiment with lookback periods and sensitivity settings to match your trading style.
The default settings are optimal for 1 minute and 10 second time frames for small cap low float stocks.
Continuation OB are Blue.
Bullish Reversal OB color is Green
Bearish Reversal OB color is Red
FVG color is purple
Bear Trap OB is red with a green border and often appears with a Bearish Reversal OB signaling caution to a short position.
Bull trap OB is green with a Red border signaling caution to a long position.
All active OB area are highlighted and solid in color while other non active OB area are dimmed.
My personal favorite setups are when we have an active bullish reversal with an active FVG along with an active Continuation OB.
Another personal favorite is the Bearish reversal OB signaling an end to a recent uptrend.
The Trap OB detection are also a unique and Original helpful source of information.
The OB have a white boarder by default that are colored black giving a simulated blinking effect when price is acting in that zone.
The Trap OB border are colored with respect to direction of intended trap, all of which can be customized to personal style.
All vaild OB zones are shown compact in size ,a unique and original view until its no longer valid.
Ultimate RVOL IndicatorThe Ultimate Multi-Timeframe RVOL Indicator is designed to provide powerful insights into market activity by analyzing relative volume (RVOL) on both the current and higher timeframes. By tracking volume spikes and comparing them to historical averages, this indicator helps traders detect institutional activity, confirm trends, and avoid false breakouts.
Key Features:
• Real-Time RVOL Analysis: Instantly see how today’s volume compares to the average over a customizable period.
• Multi-Timeframe Support: Monitor RVOL on a higher timeframe (e.g., daily or weekly) to detect significant market moves.
• Smart Alerts: Get notified when RVOL crosses a user-defined threshold, indicating potential breakouts or breakdowns.
• Visual Labels and Background Colors: See clear visual markers for high or low RVOL events.
• Trend Confirmation: Use HTF RVOL to validate the strength of moves on smaller timeframes.
⸻
🚀 How to Use:
1. Identify Strong Trends
• When RVOL > Threshold (e.g., 2x) and HTF RVOL is also elevated, institutions are likely participating.
• This confirms the strength of a move and increases confidence in a continuation.
2. Spot False Breakouts
• If RVOL spikes on your chart but HTF RVOL remains low, it may indicate a retail-driven move.
• Be cautious with these trades as they are more prone to failure.
3. Detect Potential Reversals
• When HTF RVOL spikes while intraday RVOL remains low, institutions may be quietly accumulating or distributing.
• Watch for a reversal or a significant move shortly after.
4. Volume Exhaustion
• A rapid RVOL spike followed by a drop in both RVOL and HTF RVOL may signal trend exhaustion.
• Consider locking in profits or tightening stops.
⸻
⚙️ Settings Guide:
• Lookback Period: Adjust how many bars are used for average volume calculation (e.g., 20 for intraday or 50 for swing trading).
• High RVOL Threshold: Set a multiplier to define what is considered a “high” RVOL. Common values range from 1.5x to 3x.
• Higher Timeframe (HTF): Choose a timeframe to track macro-level volume (e.g., Daily for intraday traders or Weekly for swing traders).
• Show Labels and Alerts: Enable to see clear notifications on volume spikes.
⸻
📊 Pro Tips:
• Use RVOL + HTF RVOL with key support and resistance levels for stronger trade setups.
• Combine with indicators like RSI or MACD to confirm momentum.
• Avoid trading on low RVOL days, as moves may lack conviction.
• When RVOL spikes dramatically, monitor price behavior for confirmation before entering a trade.
⸻
This indicator is ideal for day traders, swing traders, and momentum traders looking to leverage volume for smarter entries and exits. Let the Ultimate Multi-Timeframe RVOL Indicator keep you on the right side of market moves. Happy trading! 🚀
Demand and Supply MTF with SMC By StockFusion - 3.0Demand and Supply MTF with SMC By StockFusion - 3.0 - Indicator Description
Concepts
What is Supply & Demand?
Supply and Demand are foundational forces driving market dynamics. Demand reflects the presence of buyers willing to purchase a security, while Supply indicates sellers offering it for sale. These forces create zones on the chart where price tends to react—either reversing or continuing—based on the balance between buying and selling pressure. This indicator identifies these zones using price action patterns, focusing on impulsive moves (strong directional momentum) and retracement phases (consolidation or pullbacks).
What is SMC (Smart Money Concepts)?
Smart Money Concepts (SMC) revolve around tracking the behavior of institutional traders, often called "smart money." By analyzing price action, market structure shifts, and liquidity, SMC helps retail traders align with the moves of larger players. Key SMC signals like Change of Character (CHoCH), Break of Structure (BOS), liquidity sweeps, and swing points provide insights into potential trend changes or continuations.
Overview
Demand and Supply MTF with SMC By StockFusion - 3.0 is a sophisticated, price action-based indicator designed to plot real-time Supply and Demand zones across multiple timeframes (MTF) directly on your chart. It goes beyond simple zone plotting by integrating Smart Money Concepts (SMC) and Inside Candle detection, offering traders a powerful tool for spotting high-probability reversal or continuation areas. The indicator highlights zones with customizable boxes, labels them for clarity, and provides additional SMC-driven insights such as CHoCH, BOS, liquidity sweeps, and swing high/low levels. This combination of multi-timeframe analysis, SMC, and consolidation detection creates a unique and highly practical tool for traders seeking an edge in the markets.
How It Works
The indicator operates by analyzing price action across two user-defined timeframes (Higher TF and Lower TF) to detect Supply and Demand zones. It identifies these zones based on specific price patterns:
Rally Base Rally (RBR): A bullish impulsive move, followed by consolidation, then another bullish move—indicating a Demand zone.
Drop Base Drop (DBD): A bearish impulsive move, consolidation, then another bearish move—indicating a Supply zone.
Drop Base Rally (DBR): A bearish move, consolidation, then a bullish reversal—indicating a Demand zone.
Rally Base Drop (RBD): A bullish move, consolidation, then a bearish reversal—indicating a Supply zone.
These patterns are detected using criteria like explosive candle movements (based on range-to-body ratios and ATR multipliers), volume thresholds, and base candle counts (configurable from 1 to 5 candles). Zones are plotted as horizontal bands, with Higher TF zones taking precedence to avoid overlap with Lower TF zones, ensuring clarity on the chart.
Smart Money Integration:
The indicator enhances zone analysis with SMC features:
CHoCH (Change of Character): Detects shifts in market sentiment by comparing price action against recent swing highs/lows over a customizable period.
BOS (Break of Structure): Identifies when price breaks key structural levels, signaling a potential trend shift.
Liquidity Sweeps: Marks areas where price briefly exceeds swing points before reversing, often targeting stop-loss orders.
Swings: Highlights significant swing highs and lows to track momentum and structure.
Inside Candle Detection:
Inside Candles—smaller candles contained within the range of a prior candle—are plotted to indicate consolidation or indecision, often preceding breakouts. Optional lines can be drawn around these candles for better visibility.
Key Features & How to Use
Real-Time Zone Plotting:
Automatically identifies and marks Supply and Demand zones as they form, using the RBR, RBD, DBR, and DBD patterns. Zones are color-coded (e.g., green for Demand, red for Supply) and can extend rightward for visibility.
Multi-Timeframe Analysis:
Operates on all timeframes, with separate settings for Higher TF (e.g., weekly) and Lower TF (e.g., daily) zones. This allows traders to see both macro and micro levels of market structure.
Automatic Detection:
No manual input is required—zones are plotted based on price action, volume, and SMA trends. Live candle volume is displayed for context.
Tested Zone Management:
Optionally removes zones after they’re tested (price revisits and reverses) or after a second leg-out move, keeping the chart uncluttered.
Customizable Display:
Choose which patterns to detect (RBR, RBD, etc.).
Adjust base candle counts (1-5), explosive candle parameters (Range-Body Ratio, Multiplier), and quality filters (SMA length, Volume Multiplier).
Customize colors for zones, borders, labels, and candles (boring, bullish explosive, bearish explosive).
Enable/disable labels and pattern names on boxes.
Alerts:
Set notifications for zone formation, CHoCH, BOS, and liquidity sweeps on your chosen timeframe.
Inside Candle Visualization:
Highlights consolidation phases with color-coded candles and optional lines, aiding breakout anticipation.
SMC Insights:
Visualizes CHoCH, BOS, liquidity sweeps, and swings with distinct lines and labels, helping traders follow institutional moves.
How to Use It:
Approaching Zones: When price nears a Supply or Demand zone, watch for reversal patterns (e.g., pin bars, engulfing candles) or SMC signals (e.g., BOS, liquidity sweeps) to confirm entries. Combine with your tested strategy—don’t trade zones blindly.
SMC Signals: Use CHoCH for early trend reversal clues, BOS for trend continuation, and liquidity sweeps to gauge manipulation.
Inside Candles: Monitor for breakouts after consolidation periods marked by Inside Candles.
Why It’s Unique & Valuable
This indicator stands out by blending multi-timeframe Supply and Demand analysis with Smart Money Concepts and Inside Candle detection into a single, cohesive tool. While it uses classic elements like price action and volume, its proprietary logic—combining specific pattern detection (RBR, RBD, DBR, DBD), SMC signals (CHoCH, BOS, etc.), and consolidation tracking—offers a fresh approach. Unlike generic trend-following or scalping tools, it provides actionable insights into market structure and institutional behavior, making it worth considering for traders willing to invest in a premium tool. The flexibility of customization and MTF functionality further enhances its utility across trading styles, from scalping to swing trading.
Dual Volume Divergence LineDual Volume Divergence Line (DVD/Line)
🔹 Overview
The Dual Volume Divergence Line (DVD/Line) is a custom Pine Script™ indicator designed to identify potential trend reversals and continuations by analyzing volume and price divergences. This script is inspired by the original concept of the Dual Volume Divergence Index (DVDI) by DonovanWall and has been modified and enhanced by keremertem. Special thanks to DonovanWall for the original concept. The indicator combines volume-based calculations with price action to generate signals for bullish and bearish divergences, both normal and hidden. Below is a detailed breakdown of its components and functionality.
🔹 Key Features of the DVD/Line Indicator
1. Dual Volume Divergence Calculation:
- The indicator calculates two primary volume-based indices: the Positive Volume Index (PVI) and the Negative Volume Index (NVI).
- PVI measures the impact of volume on price when the price increases, while NVI measures the impact when the price decreases.
- These indices are used to detect divergences between volume and price, which can signal potential reversals or continuations.
2. Customizable Inputs:
- DVD Sampling Period: Adjusts the sensitivity of the indicator by controlling the lookback period for calculating the volume-weighted moving averages (VWMA) of PVI and NVI.
- Band Width: Defines the range for calculating the upper and lower bands, which act as dynamic support and resistance levels.
- Source: Allows users to select the price source (e.g., `hlc3`, `close`, etc.) for calculations.
3. Volume-Weighted Moving Averages (VWMA):
- Instead of using traditional moving averages, the script employs VWMA to smooth the PVI and NVI signals. This ensures that the indicator is more responsive to changes in volume.
4. Upper and Lower Bands:
- The upper and lower bands are calculated using the Root Mean Square (RMS) of the highest and lowest values of the DVD line over a user-defined period. These bands help identify overbought and oversold conditions.
5. Divergence Detection:
- The script identifies four types of divergences:
- Normal Bullish Divergence: Occurs when price makes a lower low, but the DVD line makes a higher low.
- Hidden Bullish Divergence: Occurs when price makes a higher low, but the DVD line makes a lower low.
- Normal Bearish Divergence: Occurs when price makes a higher high, but the DVD line makes a lower high.
- Hidden Bearish Divergence: Occurs when price makes a lower high, but the DVD line makes a higher high.
- These divergences are visually highlighted on the chart using labels.
6. Customizable Divergence Selection:
- Users can choose between two types of divergence calculations:
- DVDI: Based on the raw divergence values.
- DVD Line: Based on the smoothed DVD line.
7. Visual Enhancements:
- The DVD line is plotted with a color-coded scheme: blue when the DVD line is above its signal line (bullish) and pink when it is below (bearish).
- The upper and lower bands are displayed as step lines, making it easier to identify key levels.
🔹 How the Indicator Works
1. Volume-Based Calculations:
- The script starts by calculating the PVI and NVI based on the selected price source and volume data.
- PVI increases when the price rises, while NVI decreases when the price falls. These indices are then smoothed using VWMA to generate signals.
2. DVD Line Calculation:
- The DVD line is derived by combining the divergences of PVI and NVI. It is further smoothed using a Weighted Moving Average (WMA) and a linear regression line for trend analysis.
3. Divergence Detection:
- The script identifies pivot points in the DVD line and compares them with price action to detect divergences.
- Normal divergences indicate potential reversals, while hidden divergences suggest trend continuations.
4. Dynamic Bands:
- The upper and lower bands are calculated using RMS, which provides a more accurate representation of volatility compared to standard deviation or fixed-width bands.
5. Labeling:
- Divergences are labeled directly on the chart with clear text and color coding:
🟢 Bullish Divergence: Green label with "Bull".
🟩 Bearish Divergence: Red label with "Bear".
🔴 Hidden Bullish Divergence: Lime label with "hid.".
🟧 Hidden Bearish Divergence: Orange label with "hid.".
🔹 Unique Aspects of This Script
1. Volume-Weighted Smoothing:
- Unlike traditional divergence indicators that rely on simple moving averages, this script uses VWMA and WMA to ensure that volume plays a significant role in signal generation.
2. Dynamic Bands with RMS:
- The use of RMS for calculating bands provides a more adaptive and accurate representation of market conditions, especially in volatile markets.
3. Flexible Divergence Selection:
- Users can choose between raw divergence values (DVDI) or smoothed values (DVD Line), allowing for greater customization based on trading style.
4. Comprehensive Divergence Detection:
- The script detects both normal and hidden divergences, providing a complete picture of potential trend reversals and continuations.
5. User-Friendly Visuals:
- The color-coded DVD line and cross-style bands make it easy to interpret the indicator at a glance.
🔹 How to Use the Indicator
1. Trend Identification:
- Use the Middle Band and its color to identify the current trend. A green line suggests bullish momentum, while a red line indicates bearish momentum. Additionally, a bullish momentum may be indicated when the DVD line crosses up, and a bearish momentum may be indicated when it crosses down the Middle Band.
2. Divergence Trading:
- Look for divergences between the DVD line and price action. Normal divergences can be used for counter-trend trades, while hidden divergences can confirm trend continuations.
3. Band Breakouts:
- Monitor the upper and lower bands for potential breakout or reversal signals. A break above the upper band may indicate overbought conditions, while a break below the lower band may suggest oversold conditions.
4. Customization:
- Adjust the sampling period and band width to suit different timeframes and trading strategies. Shorter periods are more sensitive, while longer periods provide smoother signals.
🔹 Conclusion
The Dual Volume Divergence Line (DVD/Line) is a powerful and versatile indicator that combines volume analysis with price action to generate actionable trading signals. Its unique use of volume-weighted smoothing, dynamic bands, and comprehensive divergence detection sets it apart from traditional divergence indicators. Whether you're a day trader or a long-term investor, this tool can help you identify high-probability trading opportunities with greater accuracy and confidence.
📌 Disclaimer: This script is for educational purposes only and does not constitute financial advice. Always conduct your own analysis before making trading decisions.
Median Volume Weighted Standard Deviation | QuantumResearchMedian Volume Weighted Standard Deviation (MVWSD) | QuantumResearch
The MVWSD Indicator is a powerful market analysis tool that integrates median-based volume-weighted calculations with standard deviation analysis to help traders identify trend shifts, volatility expansion, and breakout opportunities. This adaptive approach minimizes noise while enhancing the accuracy of support/resistance levels and trade signals. 🚀📊
🔍 Key Features
✅ Volume-Weighted Median Calculation – Uses a VWMA-based median to emphasize price points backed by high trading volume, reducing the impact of erratic price movements.
✅ Standard Deviation & ATR-Based Volatility Bands – Expands or contracts dynamically based on market volatility, providing adaptive support & resistance levels.
✅ Bullish/Bearish Trend Signals – Detects shifts in market momentum by analyzing price movements relative to the deviation bands.
✅ Customizable Visualization & Alerts – Traders can adjust sensitivity, choose color themes, and set alerts for breakout conditions.
✅ Multi-Asset Compatibility – Works across various markets, including Bitcoin, Altcoins, and cross-asset pairs.
📈 How It Works
1️⃣ Volume-Weighted Median Calculation
A VWMA-based median is applied to smooth price fluctuations and highlight dominant trends.
This method improves accuracy over simple moving averages by factoring in trade volume influence.
2️⃣ Adaptive Volatility Bands
Upper & Lower Bands adjust dynamically using standard deviation and ATR multipliers, expanding during high volatility and contracting during stable conditions.
These bands act as dynamic support/resistance levels, helping traders gauge potential trend breakouts or reversals.
3️⃣ Trade Signal Generation
🟢 Long Signal (Bullish): When the price breaks above the upper ATR-based band, signaling potential uptrend continuation.
🔴 Short Signal (Bearish): When the price drops below the lower ATR-based band, indicating possible downside movement.
⚪ Neutral (No Signal): When price fluctuates within the bands without a decisive breakout.
4️⃣ Trend Confirmation via Color-Coded Bars
Green bars = Bullish conditions 📈
Blue bars = Bearish conditions 📉
📊 Performance Across Different Markets
🔹 Solana (SOL/USD) Analysis:
🔹 Sui (SUI/USD) Analysis:
🔹 PancakeSwap (CAKE/USD) Analysis:
🔹 Solana vs. Bitcoin (SOL/BTC) Pair:
🔹 Solana vs. Ethereum (SOL/ETH) Pair:
🔹 Bitcoin (BTC/USD) Analysis:
🎯 Trading Applications
📌 Trend Identification – Helps traders determine whether the market is trending or ranging based on price interactions with the deviation bands.
📌 Volatility Breakouts – Expanding standard deviation bands indicate an increase in market volatility, often preceding large price movements.
📌 Dynamic Support & Resistance – Unlike static levels, these adaptive bands adjust to real-time market conditions, providing more accurate trading zones.
📌 Risk Management & Confluence – Works well when combined with other indicators to confirm trade setups and risk levels.
⚙️ Customization & Settings
🔧 Volume-Weighted Length – Adjust the VWMA period to emphasize short-term or long-term price movements.
🔧 Median Calculation Length – Fine-tune the median smoothing effect for optimal signal clarity.
🔧 ATR & Standard Deviation Multipliers – Modify sensitivity to capture early trend shifts or more confirmed moves.
🔧 Color Themes & Visibility Settings – Personalize the indicator’s appearance to match your preferred trading style.
🚀 Final Thoughts
The MVWSD Indicator provides a unique blend of volume analysis, standard deviation filtering, and trend confirmation, making it a powerful tool for traders.
While it effectively highlights volatility shifts and trend momentum, traders should always use additional confluence factors before making trade decisions.
Alerts & Visual Cues ensure that users receive real-time notifications when key trade signals emerge.
⚠️ Disclaimer: The content is for informational and educational purposes only. Nothing contained within should be considered financial, investment, legal, or other professional advice. Past performance does not guarantee future results. Trading cryptocurrencies involves substantial risk of loss and is not suitable for every investor.
📌 TradingView Alerts: Set alerts to get notified when a new long or short condition is detected.
Power Play Signal Indicator [Masky18]Power Play Signal Indicator
The Power Play Signal Indicator is a sophisticated custom trading strategy designed to identify high-probability breakout and breakdown opportunities by combining consolidation detection, trend alignment, volume analysis, and relative strength ranking. Unlike simple mashups of existing indicators, this script integrates multiple technical concepts into a cohesive strategy that helps traders capitalize on market momentum with precision.
What Makes This Indicator Unique?
The PowerPlay Signal Indicator is not just a combination of existing indicators; it is a custom-built strategy that uses original logic to filter out low-probability setups and focus on high-quality trading opportunities. Here’s how it works:
Consolidation Detection:
The script identifies consolidation zones by analyzing price action over a user-defined period (default: 6 bars). It calculates the high, low, and midpoint of the consolidation range and ensures the price stays within a specified percentage range (default: 13%).
Consolidations are classified as Tight, Loose, or Okay, helping traders gauge the strength of the potential breakout or breakdown.
Breakout & Breakdown Logic:
Breakouts and breakdowns are confirmed using a combination of:
Price Action: The script checks if the price closes above the consolidation high (breakout) or below the consolidation low (breakdown).
Volume Analysis: A significant volume spike (default: 20% increase) is required to confirm the move.
MACD & Moving Averages: The script uses MACD and moving averages (50-day and 200-day) to ensure the breakout/breakdown aligns with the prevailing trend.
Trend Alignment:
The script ensures trades are aligned with the long-term trend by using:
50-day SMA and 200-day SMA to confirm uptrends or downtrends.
150-day SMA as an additional filter to ensure the trend is strong.
52-week high/low conditions to ensure the price is in a favorable position relative to its historical range.
Relative Strength Ranking:
The script compares the asset’s performance against a benchmark asset (e.g., SPY) to ensure it is outperforming the market. This is done using a customizable Relative Strength (RS) Threshold (default: 70).
Golden Candle Signals:
For high-probability setups, the script identifies Golden Candles—strong breakout or breakdown candles with:
Large price movement (default: 7.5% to 12.5% candle size).
High volume (default: 2x the average consolidation volume).
Alignment with MACD and moving averages.
Risk Management:
The script provides stop loss, trailing stop, and take profit levels based on:
ATR (Average True Range): Dynamic stop loss levels are calculated using ATR (default: 14-period ATR with a 2x multiplier).
Trailing Stop Percentage: User-defined trailing stop (default: 2%).
Take Profit Percentage: User-defined take profit (default: 5%).
Performance Tracking:
The script includes a Performance Table that tracks:
Total breakouts and breakdowns.
Successful and failed trades.
Win rates for breakouts and breakdowns.
Golden candle signals.
How Does It Work?
The PowerPlay Signal Indicator combines the following key components to generate signals:
Consolidation Detection:
The script calculates the high, low, and midpoint of the consolidation range over a user-defined period.
It ensures the price stays within a specified percentage range (default: 13%) to confirm consolidation.
Breakout/Breakdown Confirmation:
A breakout is confirmed when:
The price closes above the consolidation high.
Volume increases by at least 20%.
MACD is positive and above the signal line.
The price is above the 50-day and 200-day SMAs.
A breakdown is confirmed when:
The price closes below the consolidation low.
Volume increases by at least 20%.
MACD is negative and below the signal line.
The price is below the 50-day and 200-day SMAs.
Golden Candle Signals:
Golden Candles are identified when:
The candle size is between 7.5% and 12.5%.
Volume is at least 2x the average consolidation volume.
The candle aligns with the prevailing trend and MACD.
Risk Management:
Stop loss levels are calculated using ATR (default: 14-period ATR with a 2x multiplier).
Trailing stop and take profit levels are based on user-defined percentages.
How to Use the Indicator
Input Parameters:
Consolidation Periods: Set the number of bars to analyze for consolidation (default: 6).
Maximum Consolidation Range: Define the maximum percentage range for consolidation (default: 13%).
Stop Loss Factor: Adjust the stop loss multiplier based on the midpoint of the consolidation range (default: 0.985).
RS Threshold: Set the relative strength threshold for trend alignment (default: 70).
Comparison Asset: Enable comparison with a benchmark asset (e.g., SPY) to ensure the asset is outperforming the market.
Trailing Stop Percentage: Set the trailing stop percentage (default: 2%).
Take Profit Percentage: Set the take profit percentage (default: 5%).
Time Exit Bars: Define the maximum number of bars to hold a trade (default: 10).
Interpreting Signals:
Breakout Signal: A green label ("BO") appears when a breakout is detected.
Breakdown Signal: A red label ("BD") appears when a breakdown is detected.
Golden Candle Signal: A gold medal icon (🥇) appears for high-probability setups.
Performance Table:
The performance table displays the number of trades, successful trades, failed trades, and win rates for breakouts and breakdowns.
Alerts:
Enable alerts for breakouts, breakdowns, and golden candles to stay informed about potential trading opportunities.
Why Choose the PowerPlay Signal Indicator?
Original Logic: Combines consolidation detection, trend alignment, volume analysis, and relative strength ranking into a unique strategy.
High-Probability Signals: Focuses on high-quality setups with strong volume and trend alignment.
Risk Management: Built-in stop loss, trailing stop, and take profit options help you manage risk effectively.
Performance Tracking: Tracks trade outcomes and win rates to help you refine your strategy.
Customizable: Fully adjustable inputs allow you to adapt the indicator to your trading style and market conditions.
Pivot Candles with MFI Opacity (No Plot)How to Use the Pivot Candles with MFI Opacity Indicator for Trade Entries and Position Management
Overview
This indicator is designed not only to display key pivot levels (support and resistance) and Money Flow Index (MFI) signals on your chart, but also to help you structure systematic order entries and position management. By combining pivot levels with dynamic MFI-based candle opacity, the indicator provides a visual framework that technical analysts and quants can use to time buy and sell stop orders as well as to pyramid positions or take profits.
Trade Entry with Pivot Levels
Buy Stop Orders Above R1:
Concept: In many technical setups, resistance levels such as R1 are viewed as potential breakout points. A buy stop order placed just above R1 allows you to enter a long position only when price decisively breaks the prior resistance, confirming bullish momentum.
How It Works:
The indicator calculates pivot levels based on the previous higher‑timeframe bar, so R1 is “locked in” for the current period.
When the current candle closes above R1, it may signal a breakout.
Technical analysts often place a buy stop order slightly above R1 (for example, a few ticks or pips above the level) to confirm the move.
Practical Application:
Quants and systematic traders can program their models to monitor when the current close exceeds R1.
Once this condition is met, a buy stop order is triggered to capture the breakout move, ensuring that you only participate if the price decisively moves upward.
Sell Stop Orders Below S1:
Concept: Conversely, S1 acts as a support level. A sell stop order placed just below S1 is designed to capture a breakdown. This order is activated when price closes below S1, indicating that selling pressure may be overwhelming.
How It Works:
With pivot levels fixed from the previous higher‑timeframe bar, S1 provides a reference for potential support.
A close below S1 can be interpreted as a sign of a bearish reversal or a continuation of a downtrend.
Practical Application:
Quants set up their systems to watch for a break below S1.
A sell stop order is positioned just below S1 to ensure that if the support level fails, the system can quickly initiate a short position to capture the downward move.
Using MFI for Position Management
Pyramiding and Profit Taking:
Dynamic Candle Opacity:
The Money Flow Index (MFI) in this indicator not only provides overbought/oversold alerts but also controls the opacity of your candlesticks. When MFI readings are high, the candles become more opaque, indicating strong buying pressure. Conversely, lower MFI values lead to more transparent candles, suggesting reduced momentum.
Pyramiding Long Positions:
Strategy:
In a strong trend, technical analysts might choose to add to a winning position gradually—a process known as pyramiding.
Implementation:
As long as the price remains above R1 and MFI readings are supportive (high and consistent), you may consider adding to your long position incrementally.
Each new buy stop order can be set above R1 with slightly adjusted trigger levels to capture further breakout strength.
Risk Management:
Quants use the MFI reading as a risk filter; if MFI begins to drop or the candles become significantly more transparent, it may be a cue to stop pyramiding or even begin taking profits.
Taking Profit Using MFI and Pivot Reversals:
Profit Targeting:
When price reaches higher resistance levels (e.g., R2 or R3) or shows signs of overextension in conjunction with extreme MFI levels (for instance, a sudden drop in MFI after a strong rally), you can begin taking partial profits.
Systematic Exit:
A systematic strategy might include scaling out of the position as the price approaches the next resistance level or when the MFI indicates that buying momentum is waning.
Similarly, for short positions entered below S1, profit targets might be set near subsequent support levels, with exits triggered if MFI suggests a reversal.
Summary
Entry Orders:
Place buy stop orders just above R1 to capture breakouts.
Place sell stop orders just below S1 to capture breakdowns.
Position Management with MFI:
Use MFI-based candle opacity as a visual indicator of momentum.
Pyramid positions in the direction of the trend when MFI confirms strength.
Consider partial exits if MFI readings start to reverse or if the price nears the next pivot level.
By following this systematic approach, technical analysts and quants can use the indicator not only as a visual tool but as an integral part of an automated or semi-automated trading system that emphasizes disciplined entries, pyramiding, and profit-taking.
[TehThomas] - Market Structure Shift (MSS)
- Market Structure Shift (MSS) Script Overview
This TradingView script is designed to help traders identify Market Structure Shifts (MSS) and Breaks of Structure (BOS), which are key concepts in ICT (Inner Circle Trader) and Smart Money Concepts (SMC) trading. By detecting significant shifts in price action, the script provides visual cues and alerts to help traders spot potential trend changes and continuation patterns.
How the Script Works
1. Identifying Swing Highs & Lows
The script detects swing highs and swing lows based on a pivot strength setting (default: 3).
A swing high forms when a candle’s high is higher than the highs of a set number of candles on both sides.
A swing low forms when a candle’s low is lower than the lows of the surrounding candles.
2. Market Structure Shift (MSS) Detection
A bullish MSS occurs when price closes above the most recent swing high after previously being in a bearish trend.
A bearish MSS occurs when price closes below the most recent swing low after being in a bullish trend.
This signals a potential trend reversal and is often a key area for liquidity grabs and smart money entry points.
3. Break of Structure (BOS) Detection (Optional - Can be enabled/disabled in settings)
A BOS is detected when price continues in the direction of the trend, confirming a structural break rather than a shift.
Bullish BOS: Price breaks a swing high but does not reverse (confirms trend continuation).
Bearish BOS: Price breaks a swing low but continues downward.
BOS levels help traders confirm trend strength and potential trade continuation setups.
4. Drawing Structure Lines & Labels
The script plots horizontal lines at the detected MSS and BOS levels.
Labels such as "MSS" or "BOS" appear at the breakout points.
Traders can customize the line style, color, and text size for better visibility.
5. Alert System for MSS & BOS
The script includes alert conditions that notify traders when an MSS or BOS occurs.
Alerts can be set for:
Any MSS / Any BOS
Bullish MSS / Bullish BOS
Bearish MSS / Bearish BOS
Settings You Can Change
The script allows for full customization through the following input parameters:
Pivot Strength (pivot_strength)
Default: 4
Adjusts how many candles must be considered to form a valid swing high or low.
Higher values result in stronger structure points, while lower values detect short-term movements.
Color Settings
Highs Color (highs) → Default: Blue (for bullish structure)
Lows Color (lows) → Default: Red (for bearish structure)
Toggle Display Options
Show BOS (show_bos) → Enables/disables BOS detection.
Show MSS (show_mss) → Enables/disables MSS detection.
Line & Label Customization
BOS Line Style (bos_style) → Options: Solid, Dashed, Dotted
MSS Line Style (mss_style) → Options: Solid, Dashed, Dotted
BOS & MSS Line Width → Adjustable from 1 to 4 pixels
BOS & MSS Text Size → Options: Tiny, Small, Normal, Large, Huge
BOS & MSS Text Position → Options: Left, Center, Right
Why This Script is Useful
✔ Detects Key Market Structure Changes
MSS and BOS are critical for identifying trend reversals and trend continuations.
Helps traders avoid false breakouts by distinguishing between structural shifts and simple breakouts.
✔ Enhances Smart Money Trading Strategies
MSS often aligns with liquidity grabs before price reverses.
BOS confirms continuation trades in strong trends.
Works well with Fair Value Gaps (FVGs), Order Blocks (OBs), and Liquidity Zones.
✔ Customizable Alerts & Visuals
Traders can enable alerts for MSS and BOS to receive notifications when price shifts.
Adjustable styling ensures clarity across different trading setups.
✔ Works on Any Asset & Timeframe
Suitable for Forex, Crypto, Stocks, and Indices.
Can be used on lower timeframes (scalping) or higher timeframes (swing trading).
How to Use the Market Structure Shift Concept in Trading
1️⃣ Identify Market Conditions
Apply the script and check if price is forming Higher Highs (HH), Higher Lows (HL), Lower Highs (LH), or Lower Lows (LL).
Determine if the market is trending or ranging.
2️⃣ Watch for MSS (Reversal Signals)
Bullish MSS: Price closes above a key swing high → potential bullish reversal.
Bearish MSS: Price closes below a swing low → potential bearish reversal.
3️⃣ Confirm BOS (Trend Continuation Signals)
Bullish BOS: Price continues breaking highs, confirming an uptrend.
Bearish BOS: Price continues breaking lows, confirming a downtrend.
4️⃣ Combine with Other ICT & SMC Concepts
Look for Order Blocks (OBs) and Fair Value Gaps (FVGs) near MSS/BOS levels for better trade entries.
Wait for liquidity grabs before entering trades (avoid stop hunts).
Use higher timeframe MSS/BOS zones as key support & resistance areas.
Final Thoughts
This script is a must-have tool for traders using ICT & SMC trading strategies. It helps identify trend shifts, liquidity grabs, and continuation moves by marking Market Structure Shifts (MSS) and Breaks of Structure (BOS) on the chart.
ZenAlgo - Aggregated DeltaZenAlgo - Aggregated Delta is an advanced market analysis tool designed to provide traders with a holistic view of market sentiment by leveraging multi-exchange volume aggregation, cumulative delta analysis, and divergence detection. Unlike traditional indicators that rely on a single data source, this tool aggregates order flow data from multiple exchanges, reducing the impact of exchange-specific anomalies and liquidity disparities.
This indicator is ideal for traders looking to enhance their understanding of market dynamics, trend confirmations, and order flow patterns. By intelligently combining multiple analytical components, it eliminates the need for manually interpreting separate indicators and offers traders a streamlined approach to market analysis.
This indicator was inspired by aggregated volume analysis techniques. Independently developed with a focus on cumulative delta and divergence detection.
Key Features & Their Interaction
Multi-Exchange Volume Aggregation: Aggregates buy and sell volumes from up to nine major exchanges, including Binance, Bybit, Coinbase, and Kraken. Unlike traditional single-source indicators, this ensures a robust, diversified measure of market sentiment and smooths out exchange-specific volume fluctuations.
Cumulative Delta Analysis: Tracks the net difference between buy and sell volumes across all aggregated exchanges, helping traders identify true buying/selling pressure rather than misleading short-term volume spikes.
Advanced Divergence Detection: Unlike basic divergence indicators, this tool detects divergences not only between price and cumulative delta but also across multiple analytical layers, including moving averages and temperature zones, offering deeper confirmation signals.
Dynamic Market Temperature Zones: Unlike fixed overbought/oversold indicators, this feature applies adaptive standard deviation-based filtering to classify market conditions dynamically as "Extreme Hot," "Hot," "Neutral," "Cold," and "Extreme Cold."
Intelligent Market State Classification: Determines whether the market is in a Full Bull, Bearish, or Neutral state by analyzing multi-exchange volume flow, cumulative delta positioning, and market-wide liquidity trends.
Real-Time Alerts & Adaptive Visualization: Provides fully configurable real-time alerts for trend shifts, divergences, and market conditions, allowing traders to act immediately on high-confidence signals.
What Makes ZenAlgo - Aggregated Delta Unique?
Unlike free or open-source alternatives, ZenAlgo - Aggregated Delta applies a multi-layered data processing approach to smooth inconsistencies and improve signal reliability. Instead of using raw exchange feeds, the system incorporates adaptive volume aggregation and standard deviation-based market classification to ensure accuracy and reduce noise. These enhancements lead to more precise trend signals and a clearer representation of market sentiment.
Multi-Exchange Order Flow Validation: Unlike single-source indicators that rely on individual exchange feeds, this tool ensures cross-market consistency by aggregating volume data dynamically.
Fractal-Based Divergence Detection: Detects divergences using fractal logic rather than contextual volume trends, reducing false-positive divergence signals while maintaining accuracy.
Automated Sentiment Analysis: Classifies market sentiment into structured phases (Full Bull, Bearish, etc.), reducing the manual effort needed to interpret order flow trends.
How It Works (Technical Breakdown)
Multi-Exchange Volume Aggregation: The system fetches and validates buy/sell volume data from multiple exchanges, applying volume aggregation techniques to smooth out inconsistencies. It ensures that data from low-liquidity exchanges does not disproportionately influence the analysis.
Cumulative Delta Computation: Cumulative delta is computed as the net difference between buy and sell volumes over a given period. By summing up these values across multiple exchanges, traders can identify real accumulation or distribution zones, reducing false signals from isolated exchange anomalies.
Divergence Detection Methodology: The tool uses a fractal-based logic approach to detect high-confidence divergences across price, volume, and delta trends. This allows for a more structured detection process compared to simple peak/trough analysis, reducing noise in the signals.
Temperature Zones Filtering: Market conditions are dynamically classified using a rolling standard deviation model, ensuring that hot/cold states adjust automatically based on recent volatility levels. This means that instead of using arbitrary fixed thresholds, the tool adapts based on historical data behavior.
Market Sentiment State Calculation: The tool evaluates liquidity conditions, volume trends, and cumulative delta flow, categorizing the market into predefined states (Bullish, Bearish, Neutral). This helps traders assess the broader context of price movements rather than reacting to isolated signals.
Real-Time Adaptive Alerts: The system provides fully configurable alerts that notify traders about key trend shifts, high-confidence divergences, and changes in market conditions as they occur. This ensures that traders can make timely and well-informed decisions.
Why This Approach Works
By aggregating data from multiple exchanges, it reduces the impact of exchange-specific liquidity disparities and anomalies, leading to a more holistic view of order flow.
The cumulative delta analysis ensures that price movements are validated by actual buying/selling pressure, filtering out misleading short-term spikes.
Dynamic market classification adapts to current conditions rather than using outdated fixed thresholds, making it more relevant in different market regimes.
Fractal-based divergence detection avoids common pitfalls of traditional divergence analysis, reducing false signals while maintaining accuracy.
Combining real-time adaptive alerts with well-structured classification improves traders’ ability to respond to market shifts efficiently.
Practical Use Cases
Identifying High-Probability Trend Reversals: If cumulative delta shows bullish divergence while the market is in an Extreme Cold zone, it signals a strong potential for reversal.
Confirming Trend Continuation: When bullish moving average crossovers align with a rising cumulative delta, traders can enter positions with higher confidence.
Detecting Exhaustion in Market Moves: If price enters an "Extreme Hot" zone but cumulative delta starts declining, this suggests trend exhaustion and a possible reversal.
Filtering False Breakouts: If price breaks a resistance level but aggregated buy volume fails to increase, this invalidates the breakout, helping traders avoid bad trades.
Cross-Exchange Sentiment Confirmation: If cumulative delta on aggregated exchanges contradicts price action on an individual exchange, traders can identify localized exchange-based distortions.
Customization & Settings Overview
Exchange Selection: Traders can fine-tune exchange sources for aggregation, allowing for custom market-specific insights.
Adaptive Divergence Settings: Configure detection thresholds, lookback periods, and divergence filtering options to reduce noise and focus on high-confidence signals.
Moving Average Adjustments: Select custom MA types, lengths, and visualization preferences to match different trading styles.
Market Temperature Thresholds: Adjust hot/cold sensitivity to align with preferred risk levels and volatility expectations.
Configurable Alerts & Theme Customization: Full control over notification triggers, color themes, and label formatting to enhance user experience.
Important Considerations
Market Context Dependency: This tool provides order flow analysis, which should be used in conjunction with broader market context and risk management.
Data Source Variability: While multi-exchange aggregation improves reliability, some exchanges may report inaccurate or delayed data.
Extreme Volatility Handling: Large price swings can temporarily distort delta readings, so traders should always validate with additional context.
Liquidity Limitations: In low-liquidity conditions, order flow signals may be less reliable due to fragmented market participation.
Enhanced Cumulative Volume Delta + MAThe Enhanced Cumulative Volume Delta (CVD) indicator is designed to help traders analyze the cumulative buying and selling pressure in the market by examining the delta between the up and down volume. By tracking this metric, traders can gain insights into the strength of a trend and potential reversals. This indicator uses advanced volume analysis combined with customizable moving averages to provide a more detailed view of market dynamics.
How to Use This Indicator:
Volume Delta Visualization:
The indicator plots the cumulative volume delta (CVD) using color-coded candles, where teal represents positive delta (buying pressure) and soft red represents negative delta (selling pressure).
Moving Averages:
Use the moving averages to smooth the CVD data and identify long-term trends. You can choose between SMA and EMA for each of the three available moving averages. The first and third moving averages are typically used for short-term and long-term trend analysis, respectively, while the second moving average can serve as a medium-term filter.
Arrow Markers:
The indicator will display arrows (green triangle up for crossing above, red triangle down for crossing below) when the CVD volume crosses the 3rd moving average. You can control the visibility of these arrows through the input parameters.
Volume Data:
The indicator provides error handling in case no volume data is available for the selected symbol, ensuring that you're not misled by incomplete data.
Practical Applications:
Trend Confirmation: Use the CVD and moving averages to confirm the overall trend direction and strength. Positive delta and a rising CVD can confirm an uptrend, while negative delta and a falling CVD indicate a downtrend.
Volume Breakouts: The arrows marking when the CVD crosses the 3rd moving average can help you spot potential volume breakouts or reversals, making them useful for entry or exit signals.
Volume Divergence: Pay attention to divergences between price and CVD, as these can often signal potential trend reversals or weakening momentum.
[GrandAlgo] Candle Trap ZonesThe Candle Trap Zones indicator identifies areas where price becomes "trapped" within a defined range and refines these zones using a proprietary algorithm. This unique approach ensures that only the most relevant zones, based on both proximity and price behavior, are highlighted for traders. By integrating advanced features like Fibonacci Cloud visualization and customizable detection parameters, the indicator offers tools to support detailed and adaptable price action analysis.
How It Works:
The Candle Trap Zones indicator evaluates historical price data to identify ranges where price has been trapped. Zones are filtered using proximity detection to prevent overlaps and maintain clarity. Additionally:
The strength parameter adjusts the sensitivity of zone identification, while the trap detection range determines how far back the algorithm evaluates price data.
The Fibonacci Cloud acts as an extension of the identified zones, providing additional precision by highlighting key levels just outside the zones
The auto-adjustment feature dynamically modifies zones if new zones are formed in close proximity, ensuring the chart reflects the most relevant areas.
The zone extension feature expands zones when price re-enters, allowing traders to track extended interactions with critical levels.
Key Features:
Proximity-Based Trap Zone Detection
Dynamically identifies and refines trap zones while avoiding overlaps to keep charts clean.
Fibonacci Cloud Integration:
Extends trap zones with Fibonacci-based levels, providing actionable reference points for potential reactions.
Customizable Detection Parameters:
Fine-tune zone detection with adjustable strength and range settings to suit various trading styles.
Real-Time Alerts:
Sends notifications when price enters, exits, or re-tests a trap zone, enabling timely trading decisions.
Dynamic Zone Updates:
Continuously recalculates zones as new data becomes available, reflecting current market conditions.
Clear and Intuitive Visuals:
Trap zones and Fibonacci clouds are highlighted in distinct colors for seamless chart analysis.
Use Cases:
Identify areas where price consolidates or liquidity builds up.
Monitor zones for potential breakouts or reversals.
Fibonacci Clouds serve as additional reference points for anticipating market reactions and refining trade setups
Trap zones may highlight areas of accumulation or distribution where traders can anticipate price reversals or breakouts.
Useful for identifying liquidity zones in range-bound markets or pinpointing key levels for breakout trades in trending markets.
Adaptable for use in Forex, crypto, stocks, and other trading markets.
Disclaimer:
This indicator is a technical analysis tool designed to assist traders by providing insights into market conditions. It does not guarantee future price movements or trading outcomes and should not be relied upon as a sole decision-making tool. The effectiveness of this indicator depends on its application, which requires your trading knowledge, experience, and judgment.
Trading involves significant financial risk, including the potential loss of capital. Past performance of any tool or indicator does not guarantee future results. This script is intended for educational and informational purposes only and does not constitute financial or investment advice. Users are strongly encouraged to perform their own analysis and consult with a qualified financial professional before making trading decisions.
AriVestHub_Inside Bars/Candles
Introduction:
This script identifies and marks inside bars on your TradingView charts. An inside bar pattern is a two-bar candlestick pattern where the second bar is entirely within the range of the first bar. This pattern often signals consolidation and can indicate a potential breakout or trend continuation.
Trading Signals:
Inside bars can indicate potential trading signals. Traders often watch for breakouts above or below the inside bar to identify potential entry points.
Customization:
You can customize the colors, styles, and labels to suit your preferences.
Conclusion
This script is a useful tool for traders looking to identify inside bar patterns on their TradingView charts. By highlighting these patterns, traders can make more informed trading decisions based on potential market consolidations and breakouts.
Market Anomaly Detector (MAD)Market Anomaly Detector (MAD) Indicator - Detailed Description:
The Market Anomaly Detector (MAD) Indicator is a unique tool designed to identify potential market anomalies by combining several price action-based and momentum indicators. This indicator is especially useful for traders who seek to identify significant market shifts and anomalies before they become visible in conventional technical indicators.
Key Features of the MAD Indicator:
1. Z-Score Threshold for Anomaly Detection:
• The Z-Score measures how far a current price is from its average over a defined period, normalized by standard deviation. This allows the MAD indicator to detect outliers or anomalies in price movements.
• By adjusting the Z-Score Threshold, traders can tune the sensitivity of the indicator to capture only the most significant price deviations, filtering out noise and reducing false signals.
2. Volume and Liquidity Filter:
• Volume is a key indicator of market participation and sentiment. The MAD Indicator uses a volume multiplier to assess when price movements are supported by sufficient trading volume.
• A volume spike is identified when the current volume exceeds the average volume by a certain multiplier. This ensures that only high-confidence signals are generated, particularly useful for spotting trend reversals and breakout opportunities.
3. Signal Cooldown Period:
• To prevent overfitting and reduce false signals, a signal cooldown period is implemented. Once a buy or sell signal is triggered, the indicator waits for a specified number of bars (e.g., 5) before triggering another signal, even if the price action meets the criteria for a new signal. This helps maintain a cleaner trading environment and avoids confusion when the market is volatile.
4. Upper and Lower Bands for Trend Confirmation:
• The MAD Indicator uses bands based on the mean price and standard deviation, similar to Bollinger Bands. These upper and lower bands help to define the expected price range for a given period, indicating overbought or oversold conditions.
• The combination of Z-Score, volume, and band analysis helps pinpoint when the price breaks out of expected ranges, providing early warning signs for potential market shifts.
5. Trend Confirmation from Higher Timeframes:
• The MAD Indicator includes a multi-timeframe approach to trend confirmation, using the 50-period EMA on a higher timeframe (e.g., 1-hour chart). This ensures that signals are aligned with the overall market trend, enhancing the reliability of buy and sell signals.
How It Works:
• The MAD Indicator continuously monitors price action, volume, and statistical anomalies, using the Z-Score to determine when the price is significantly deviating from its historical average.
• When the price breaks above the upper band and a bullish anomaly is detected, a buy signal is generated. (Green Background)
• Similarly, when the price breaks below the lower band and a bearish anomaly is detected, a sell signal is triggered. (Red Background
• By filtering signals based on volume and using the cooldown period, the MAD Indicator ensures that only high-quality trades are signaled.
How to Use the MAD Indicator:
• Buy Signal: Occurs when the price breaks above the upper band and there is a significant deviation from the mean (bullish anomaly).
• Sell Signal: Occurs when the price breaks below the lower band and there is a significant deviation from the mean (bearish anomaly).
• Volume Confirmation: Ensure that the buy/sell signals are supported by a volume spike, indicating strong market participation.
• Signal Cooldown Period: After a signal is triggered, the indicator waits for the cooldown period to avoid triggering multiple signals in quick succession.
Why It’s Worth Paying For:
The MAD Indicator combines advanced statistical analysis (Z-Score), price action, and volume analysis to identify market anomalies and breakouts before they are visible on standard indicators. By leveraging the power of mean reversion and statistical anomalies, this tool provides traders with high-confidence signals that can lead to profitable trades, especially in volatile markets. The integration of a multi-timeframe trend filter ensures that signals are aligned with the overall market trend, reducing the likelihood of false breakouts.
This indicator is ideal for trend-following traders looking for high-probability entries and mean-reversion traders aiming to capture price deviations. The signal cooldown period and volume filter provide an additional layer of precision, ensuring that you only act on the strongest market signals.
Volume Rate of Change (VROC)Volume Rate of Change (VROC) is an indicator that calculates the percentage change in trading volume over a specific period, helping analyze market momentum and activity. It is calculated as:
VROC = ((Current Volume - Past Volume) ÷ Past Volume) × 100
This indicator shows changes in market interest. Positive values indicate increasing volume, while negative values signal a decrease. High VROC values often suggest potential trend reversals or breakouts.
Applications:
Breakout Validation: VROC > 200% confirms strong breakouts; below this may signal false moves.
Market Stagnation: VROC < 0% suggests shrinking volume and range-bound markets.
Trend End Alert: A drop below 0% during trends may indicate weakening momentum.
Adjusting for Timeframes: Tailor VROC to timeframes.
Examples:
Daily: VROC(5) compares with last week's same day; VROC(20) with 1 month ago.
Monthly: VROC(12) compares with the same month last year; VROC(1) with last month.
Intraday: VROC(24) (hourly) and VROC(288) (5 minutes) for the same time yesterday.
Turtle Trade Channels Indicator with EMATurtle Trade Channels Indicator with EMA (TuTCI + EMA)
This custom indicator combines the classic Turtle Trading Channel strategy with an Exponential Moving Average (EMA) filter to provide clear entry and exit signals, as well as trend direction guidance.
Features:
Turtle Channels: The indicator calculates the upper and lower Turtle Trading Channels based on the highest and lowest values over a user-defined period ( Entry Length for the channel).
Entry/Exit Signals: Alerts you to potential buy and sell opportunities with visual signals on the chart.
Long Entry: When the price crosses above the upper channel.
Short Entry: When the price crosses below the lower channel.
Long Exit: When the price breaks below the exit line.
Short Exit: When the price breaks above the exit line.
EMA Filter: A 50-period Exponential Moving Average (EMA) is included to identify the overall trend. The background color turns green when the price is above the EMA (bullish trend) and red when the price is below the EMA (bearish trend).
Highlighter: Optional background highlighting for the most relevant signals, such as when the price crosses the upper or lower Turtle Channel. This feature helps to easily identify key market movements.
Visual Customization: Customize the EMA length, Entry/Exit lengths, and toggle signals and highlighting to suit your preferences.
How It Works:
The Turtle Trade Channels are designed to capture breakouts by identifying key price levels (highest high and lowest low) over a specified period. By combining this strategy with an EMA, the indicator ensures trades are aligned with the broader trend, increasing the probability of successful trades.
Uptrend: When the price is above the EMA, the indicator considers the trend to be bullish, and it highlights long entry signals.
Downtrend: When the price is below the EMA, the trend is considered bearish, and short entries are emphasized.
Customization:
Entry Length: Adjusts the period for calculating the Turtle Channel's entry levels.
Exit Length: Defines the period for calculating the exit levels.
EMA Length: The period for the Exponential Moving Average (default is set to 50).
Show Entry/Exit Signals: Toggle the visibility of entry/exit signals on the chart.
Highlighter On/Off: Toggle background highlighting for key signals.
This indicator is suitable for traders who follow trend-following strategies, particularly those influenced by the Turtle Trading methodology, and wish to use an EMA filter for better trend confirmation.
Use Cases:
Trend-following traders looking for clear entry/exit signals.
Breakout traders using the Turtle Trading concept to identify price breakouts.
Swing traders who want to incorporate trend analysis with price levels.
ADM Indicator [CHE] Comprehensive Description of the Three Market Phases for TradingView
Introduction
Financial markets often exhibit patterns that reflect the collective behavior of participants. Recognizing these patterns can provide traders with valuable insights into potential future price movements. The ADM Indicator is designed to help traders identify and capitalize on these patterns by detecting three primary market phases:
1. Accumulation Phase
2. Manipulation Phase
3. Distribution Phase
This indicator places labels on the chart to signify these phases, aiding traders in making informed decisions. Below is an in-depth explanation of each phase, including how the ADM Indicator detects them.
1. Accumulation Phase
Definition
The Accumulation Phase is a period where informed investors or institutions discreetly purchase assets before a potential price increase. During this phase, the price typically moves within a confined range between established highs and lows.
Characteristics
- Price Range Bound: The asset's price stays within the previous high and low after a timeframe change.
- Low Volatility: Minimal price movement indicates a balance between buyers and sellers.
- Steady Volume: Trading volume may remain relatively constant or show slight increases.
- Market Sentiment: General market interest is low, as the accumulation is not yet apparent to the broader market.
Detection with ADM Indicator
- Criteria: An accumulation is detected when the price remains within the previous high and low after a timeframe change.
- Indicator Action: At the end of the period, if accumulation has occurred, the indicator places a label "Accumulation" on the chart.
- Visual Cues: A yellow semi-transparent background highlights the accumulation phase, enhancing visual recognition.
Implications for Traders
- Entry Opportunity: Consider preparing for potential long positions before a possible upward move.
- Risk Management: Use tight stop-loss orders below the support level due to the defined trading range.
2. Manipulation Phase
Definition
The Manipulation Phase, also known as the Shakeout Phase, occurs when dominant market players intentionally move the price to trigger stop-loss orders and create panic among less-informed traders. This action generates liquidity and better entry prices for large positions.
Characteristics
- False Breakouts: The price moves above the previous high or below the previous low but quickly reverses.
- Increased Volatility: Sharp price movements occur without fundamental reasons.
- Stop-Loss Hunting: The price targets common stop-loss areas, triggering them before reversing.
- Emotional Trading: Retail traders may react impulsively, leading to poor trading decisions.
Detection with ADM Indicator
- Manipulation Up:
- Criteria: Detected when the price rises above the previous high and then falls back below it.
- Indicator Action: Places a label "Manipulation Up" on the chart at the point of detection.
- Manipulation Down:
- Criteria: Detected when the price falls below the previous low and then rises back above it.
- Indicator Action: Places a label "Manipulation Down" on the chart at the point of detection.
- Visual Cues:
- Manipulation Up: Blue background highlights the phase.
- Manipulation Down: Orange background highlights the phase.
Implications for Traders
- Caution Advised: Be wary of false signals and avoid overreacting to sudden price changes.
- Preparation for Next Phase: Use this phase to anticipate potential distribution and adjust strategies accordingly.
3. Distribution Phase
Definition
The Distribution Phase occurs when the institutions or informed investors who accumulated positions start selling to the general market at higher prices. This phase often follows a Manipulation Phase and may signal an impending trend reversal.
Characteristics
- Price Reversal: The price moves in the opposite direction of the prior manipulation.
- High Trading Volume: Increased selling activity as large players offload positions.
- Trend Weakening: The previous trend loses momentum, indicating a potential shift.
- Market Sentiment Shift: Optimism fades, and uncertainty or pessimism may emerge.
Detection with ADM Indicator
- Distribution Up:
- Criteria: Detected after a verified Manipulation Up when the price subsequently falls below the previous low.
- Indicator Action: Places a label "Distribution Up" on the chart.
- Distribution Down:
- Criteria: Detected after a verified Manipulation Down when the price subsequently rises above the previous high.
- Indicator Action: Places a label "Distribution Down" on the chart.
- Visual Cues:
- Distribution Up: Purple background highlights the phase.
- Distribution Down: Maroon background highlights the phase.
Implications for Traders
- Exit Signals: Consider closing long positions if in a Distribution Up phase.
- Short Selling Opportunities: Potential to enter short positions anticipating a downtrend.
Using the ADM Indicator on TradingView
Indicator Overview
The ADM Indicator automates the detection of Accumulation, Manipulation, and Distribution phases by analyzing price movements relative to previous highs and lows on a selected timeframe. It provides visual cues and labels on the chart, helping traders quickly identify the current market phase.
Features
- Multi-Timeframe Analysis: Choose from auto, multiplier, or manual timeframe settings.
- Visual Labels: Clear labeling of market phases directly on the chart.
- Background Highlighting: Distinct background colors for each phase.
- Customizable Settings: Adjust colors, styles, and display options.
- Period Separators: Optional separators delineate different timeframes.
Interpreting the Indicator
1. Accumulation Phase
- Detection: Price stays within the previous high and low after a timeframe change.
- Label: "Accumulation" placed at the period's end if detected.
- Background: Yellow semi-transparent color.
- Action: Prepare for potential long positions.
2. Manipulation Phase
- Detection:
- Manipulation Up: Price rises above previous high and then falls back below.
- Manipulation Down: Price falls below previous low and then rises back above.
- Labels: "Manipulation Up" or "Manipulation Down" placed at detection.
- Background:
- Manipulation Up: Blue color.
- Manipulation Down: Orange color.
- Action: Exercise caution; avoid impulsive trades.
3. Distribution Phase
- Detection:
- Distribution Up: After a Manipulation Up, price falls below previous low.
- Distribution Down: After a Manipulation Down, price rises above previous high.
- Labels: "Distribution Up" or "Distribution Down" placed at detection.
- Background:
- Distribution Up: Purple color.
- Distribution Down: Maroon color.
- Action: Consider exiting positions or entering counter-trend trades.
Configuring the Indicator
- Timeframe Type: Select Auto, Multiplier, or Manual for analysis timeframe.
- Multiplier: Set a custom multiplier when using "Multiplier" type.
- Manual Resolution: Define a specific timeframe with "Manual" option.
- Separator Settings: Customize period separators for visual clarity.
- Label Display Options: Choose to display all labels or only the most recent.
- Visualization Settings: Adjust colors and styles for personal preference.
Practical Tips
- Combine with Other Analysis Tools: Use alongside volume indicators, trend lines, or other technical tools.
- Backtesting: Review historical data to understand how the indicator signals would have impacted past trades.
- Stay Informed: Keep abreast of market news that might affect price movements beyond technical analysis.
- Risk Management: Always employ stop-loss orders and position sizing strategies.
Conclusion
The ADM Indicator is a valuable tool for traders seeking to understand and leverage market phases. By detecting Accumulation, Manipulation, and Distribution phases through specific price action criteria, it provides actionable insights into market dynamics.
Understanding the precise conditions under which each phase is detected empowers traders to make more informed decisions. Whether preparing for potential breakouts during accumulation, exercising caution during manipulation, or adjusting positions during distribution, the ADM Indicator aids in navigating the complexities of the financial markets.
Disclaimer:
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
This indicator is inspired by the Super 6x Indicators: RSI, MACD, Stochastic, Loxxer, CCI, and Velocity . A special thanks to Loxx for their relentless effort, creativity, and contributions to the TradingView community, which served as a foundation for this work.
Best regards Chervolino
Overview of the Timeframe Levels in the `autotimeframe()` Function
The `autotimeframe()` function automatically adjusts the higher timeframe based on the current chart timeframe. Here are the specific timeframe levels used in the function:
- Current Timeframe ≤ 1 Minute
→ Higher Timeframe: 240 Minutes (4 Hours)
- Current Timeframe ≤ 5 Minutes
→ Higher Timeframe: 1 Day
- Current Timeframe ≤ 1 Hour
→ Higher Timeframe: 3 Days
- Current Timeframe ≤ 4 Hours
→ Higher Timeframe: 7 Days
- Current Timeframe ≤ 12 Hours
→ Higher Timeframe: 1 Month
- Current Timeframe ≤ 1 Day
→ Higher Timeframe: 3 Months
- Current Timeframe ≤ 7 Days
→ Higher Timeframe: 6 Months
- For All Higher Timeframes (over 7 Days)
→ Higher Timeframe: 12 Months
Summary:
The function assigns a corresponding higher timeframe based on the current timeframe to optimize the analysis:
- 1 Minute or Less → 4 Hours
- Up to 5 Minutes → 1 Day
- Up to 1 Hour → 3 Days
- Up to 4 Hours → 7 Days
- Up to 12 Hours → 1 Month
- Up to 1 Day → 3 Months
- Up to 7 Days → 6 Months
- Over 7 Days → 12 Months
This automated adjustment ensures that the indicator works effectively across different chart timeframes without requiring manual changes.
Multi-Timeframe Volume-Weighted RSIA multiple timeframe volume-weighted RSI.
Blue Line = Current Time Frame
Orange Line = Select your desired Time Frame
e.g. Blue = Daily, Orange = Weekly
1. Incorporates Market Commitment
Value: By factoring in volume, the volume-weighted RSI captures the intensity of trading activity behind price movements.
Why it’s useful:
Regular RSI measures price momentum but does not differentiate between moves with high or low trading activity.
A volume-weighted RSI assigns greater importance to price changes occurring on high volume, reflecting stronger market conviction.
2. Improved Signal Reliability
Value: Signals generated by a volume-weighted RSI (e.g., overbought or oversold conditions) may be more reliable because they account for the level of trader participation.
Why it’s useful:
Low-volume price movements often result in false signals or "noise."
A volume-weighted RSI helps filter out such noise, reducing the likelihood of false breakouts or fake reversals.
3. Better Divergence Detection
Value: Divergences between price action and the RSI (bullish or bearish divergences) are more meaningful when confirmed by volume.
Why it’s useful:
Regular RSI might show divergence in price momentum, but this divergence might lack substance if the underlying volume is weak.
A volume-weighted RSI ensures that divergence signals align with periods of significant market participation.
4. Enhanced Trend Analysis
Value: Trends supported by strong volume are given more weight, helping traders better identify and follow trends.
Why it’s useful:
Regular RSI might show overbought or oversold signals prematurely during strong trends.
Volume-weighted RSI considers whether trends are backed by significant market activity, helping avoid early exits.
5. More Meaningful Overbought/Oversold Levels
Value: Levels like 70 (overbought) and 30 (oversold) are more credible when supported by volume.
Why it’s useful:
In a regular RSI, overbought or oversold levels might occur on light trading, leading to false reversals.
A volume-weighted RSI ensures these levels are triggered by substantial market participation, increasing their reliability.
Practical Applications:
Trend Confirmation: Use the volume-weighted RSI to confirm whether momentum in a trend is supported by strong participation.
Divergence Spotting: Identify divergences with more confidence by prioritizing those with volume support.
Filtering False Breakouts: Avoid entering trades during weak volume phases by focusing on volume-weighted RSI signals.
Limitations:
Market Type Dependency: Its usefulness may diminish in low-volume assets or markets where volume data is unavailable (e.g., forex).
Relative Measured Volatility (RMV) – Spot Tight Entry ZonesTitle: Relative Measured Volatility (RMV) – Spot Tight Entry Zones
Introduction
The Relative Measured Volatility (RMV) indicator is designed to highlight tight price consolidation zones , making it an ideal tool for traders seeking optimal entry points before potential breakouts. By focusing on tightness rather than general volatility, RMV offers traders a practical way to detect consolidation phases that often precede significant market moves.
How RMV Works
The RMV calculates short-term tightness by averaging three ATR (Average True Range) values over different lookback periods and then normalizing them within a specified lookback window. The result is a percentage-based scale from 0 to 100, indicating how tight the current price range is compared to recent history.
Here’s the breakdown:
Three ATR values are computed using user-defined short lookback periods to represent short-term price movements. An average of the ATRs provides a smoothed measure of current tightness. The RMV normalizes this average against the highest and lowest values over the defined lookback period, scaling it from 0 to 100.
This approach helps traders identify consolidation zones that are more likely to lead to breakouts.
Key Features of RMV
Multi-Period ATR Calculation : Uses three ATR values to effectively capture market tightness over the short term. Normalization : Converts the tightness measure to a 0-100 scale for easy interpretation. Dynamic Histogram and Background Colors : The RMV indicator uses a color-coded system for clarity.
How to Use the RMV Indicator
Identify Tight Consolidation Zones:
a - RMV values between 0-10 indicate very tight price ranges, making this the most optimal zone for potential entries before breakouts.
b - RMV values between 11-20 suggest moderate tightness, still favorable for entries.
Monitor Potential Breakout Areas:
As RMV moves from 21-30 , tightness reduces, signaling expanding volatility that may require wider stops or more flexible entry strategies.
Adjust Trading Strategies:
Use RMV values to identify tight zones for entering trades, especially in trending markets or at key support/resistance levels.
Customize the Indicator:
a - Adjust the short-term ATR lookback periods to control sensitivity.
b - Modify the lookback period to match your trading horizon, whether short-term or long-term.
Color-Coding Guide for RMV
ibb.co
How to Add RMV to Your Chart
Open your chart on TradingView.
Go to the “Indicators” section.
Search for "Relative Measured Volatility (RMV)" in the Community Scripts section.
Click on the indicator to add it to your chart.
Customize the input parameters to fit your trading strategy.
Input Parameters
Lookback Period : Defines the period over which tightness is measured and normalized.
Short-term ATR Lookbacks (1, 2, 3) : Control sensitivity to short-term tightness.
Histogram Threshold : Sets the threshold for differentiating between bright (tight) and dim (less tight) histogram colors.
Conclusion
The Relative Measured Volatility (RMV) is a versatile tool designed to help traders identify tight entry zones by focusing on market consolidation. By highlighting narrow price ranges, the RMV guides traders toward potential breakout setups while providing clear visual cues for better decision-making. Add RMV to your trading toolkit today and enhance your ability to identify optimal entry points!
