Trend Break Targets [MarkitTick]Trend Break Targets
Trend Break Targets is a technical analysis tool designed to assist traders in identifying trendline breakouts and projecting potential price targets based on market geometry. Unlike fully automated indicators that guess trendlines, this tool provides you with precise control by allowing you to manually Pivot Point the trendline to specific points in time, while automating the complex math of target projection and structure mapping.
Theoretical Basis & Concepts
This indicator is grounded in classic technical analysis principles found in foundational trading literature. It automates the following methodology:
Drawing a trend line between two key points to represent dynamic support or resistance.
Identifying a breakout when the price closes above or below this line, potentially signaling a change in trend.
Calculating a price target by measuring the vertical distance between the breakout line and the last high/low (pivot), then projecting that same distance in the direction of the breakout.
This concept is based on methods and "Measured Move" theories explained in classic books such as "Technical Analysis of Stock Trends" by Edwards & Magee, "Technical Analysis of the Financial Markets" by John Murphy, and in Thomas Bulkowski's Price Pattern Studies.
How It Works
Pivot Pointed Trendline Construction The script draws a trendline between two user-defined points in time (Start Date and End Date). It calculates the slope between these points and extends the line infinitely to the right, allowing you to define the exact structure (e.g., a resistance trendline on a wedge).
Breakout Detection The script monitors the "Price Source" (High, Low, or Close) relative to the extended trendline.
A Bullish Breakout (BC) occurs when the Close crosses above a bearish trendline.
A Bearish Breakout (BC) occurs when the Close crosses below a bullish trendline.
Dynamic Target Projection (The Math) Upon a confirmed breakout, the script automatically calculates three distinct targets by identifying the most significant "Swing Point" (Pivot) prior to the breakout.
Distance (D): The vertical distance between the Trendline and the Pivot Price at the specific bar where the pivot occurred.
Target 1 (T1): The Breakout Price +/- (Distance × 1.0). This represents a classic 1:1 measured move.
Target 2 (T2): The Breakout Price +/- (Distance × 1.618). Based on the Golden Ratio extension.
Target 3 (T3): The Breakout Price +/- (Distance × 2.618).
Market Structure (CHOCH) The script includes an optional Change of Character (CHOCH) module. This runs independently of the trendline logic, identifying local Swing Highs and Swing Lows based on the "Swing Detection Length." It plots dashed lines and labels to visualize immediate shifts in market structure.
How to Use This Tool
This is an interactive tool that requires user input to define the setup.
Identify a Setup: Locate a clear trend, wedge, or flag pattern on your chart.
Set Pivot Points: Go to the Indicator Settings. Input the exact Start Date and End Date corresponding to the two main touches of your trendline.
Monitor for Breakout: The script will extend the line. Wait for a "BC" label to appear.
Trade Management: Once "BC" prints, the T1, T2, and T3 lines will instantly render. These can be used as potential take-profit zones or areas to tighten stop-losses.
Settings & Configuration
Indicator Settings
Start/End Date: The timestamp Pivot Points for your trendline.
Price Source: Determines what price (High or Low) Pivot Points the line and triggers the breakout.
Pivot Left/Right: Adjusts the sensitivity for finding the "Pivot Before Break" used for target calculations.
Extend Target Line: How far forward the target lines are drawn.
Visual Style
Colors: Fully customizable colors for the Trendline, Breakout Labels, and each Target level (T1, T2, T3).
Gold Bullish Reversal
This analysis dissects a confirmed bullish reversal on Gold using a custom Trend Break system. The setup identifies a transition from a bearish corrective phase to bullish momentum, validated by a structural break and a geometric target projection.
Trend Identification (The Pivot Points) The descending white trendline serves as the primary dynamic resistance, defining the bearish correction.
Pivot Points: The line is drawn connecting two significant swing highs, marked by Label 1 and Label 2.
Logic: These points represent the "lower highs" characteristic of the previous downtrend. As long as price remained below this trajectory, the bearish bias was intact.
The Trigger: Breakout & Confirmation The transition occurs at the candle marked BC (Breakout Candle).
Breakout Criteria: The indicator logic dictates that a signal is only valid when the bar closes above the trendline. This filters out intraday wicks and ensures genuine buyer commitment.
CHOCH Confluence: Immediately following the breakout, a CHOCH (Change of Character) label appears. This signals a shift in market structure, indicating that the internal lower-high/lower-low sequence has been violated, adding probability to the reversal.
Target Projection: The Measured Move The vertical green lines (T1, T2) represent profit objectives derived from the depth of the prior move. The logic calculates the distance between the breakout line and the lowest pivot prior to the break.
T1 (Standard Target): This is a 1:1 projection of the pre-breakout volatility. We see price action initially stalling near this level, confirming it as a zone of interest.
T2 (Golden Ratio Extension): The second target is calculated as the initial distance multiplied by 1.618 (Fibonacci Golden Ratio). The chart shows the price rallying aggressively through T1 to tap the T2 zone, often considered an exhaustion or major take-profit level in harmonic extensions.
Conclusion Gold has successfully invalidated the 4-hour bearish trendline. The confluence of a confirmed close above resistance (BC) and a structural shift (CHOCH) provided a high-probability long setup. The price has now fulfilled the T2 (1.618) extension, suggesting traders should watch for consolidation or a reaction at this key Fibonacci resistance level.
Bearish Trendline Breakdown
The image displays a Bearish Trendline Breakdown on the Gold (XAUUSD) 4-hour chart. The indicator is actually functioning in "Low" mode here (connecting swing lows to form support), which triggers the bearish logic found in the code. Here is the step-by-step breakdown:
The Setup: Pivot Points & Trendline
Visual: The Blue Labels "1" and "2" connected by a white diagonal line.
Code Logic: These are the user-defined start and end points.
Pivot Point 1 (startDate): The starting pivot of the trendline.
Pivot Point 2 (endDate): The ending pivot.
Trendline: The code draws a line between these two points and extends it to the right (extend.right). In this specific image, the line acts as a Support Trendline.
The Trigger: Break Candle (BC)
Visual: The Red Label "BC" appearing just below the white trendline.
Code Logic: This is the execution signal. The code detects a "Down Break" (dnBreak) because the Price Source was likely set to "Low" and the candle's Close was lower than the Trendline Price at that specific bar (close < currLinePrice). This confirms the support level has been breached.
The Projection: Targets (T1 & T2)
Visual: The Green Labels "T1" and "T2" with dotted horizontal lines projected downward.
Code Logic: These are profit targets based on a "Measured Move."
Pivot Calculation: The script looks back for a recent "Pivot High" (the peak before the crash) to calculate the volatility/distance (dist) between that peak and the trendline.
T1 (Conservative): The price is projected downward by 1x that distance (currLinePrice - dist).
T2 (Extended): The price is projected downward by 1.618x that distance (Golden Ratio extension).
Market Context: CHOCH
Visual: The small Red/Orange "CHOCH" labels appearing above the price action.
Code Logic: This is a secondary confirmation system running independently of the trendline. It detects a Change of Character (structural shift). The red labels indicate a "Bearish CHOCH," meaning the price broke below a significant prior swing low (last_swing_low). This supports the bearish bias of the trendline break.
Disclaimer This tool is for educational and technical analysis purposes only. Breakouts can fail (fake-outs), and past geometric patterns do not guarantee future price action. Always manage risk and use this tool in conjunction with other forms of analysis.
Trendtrading
HMM Trend Exhaust Detector (Partial TP Areas)🔹 HMM Trend Exhaust Detector (Partial TP Areas)
HMM Trend Exhaust Detector is a professional risk-management and partial profit awareness tool, designed to highlight moments when price becomes over-extended within a strong trend.
This indicator is not an entry system and not a reversal predictor.
It is built to help traders protect profits, manage open positions, and avoid chasing price when the market is already stretched.
🧠 How it works (Simple Explanation)
When price moves aggressively away from its trend structure:
The candle color changes in real time, warning that price is entering a potential exhaustion zone.
A dotted guide level appears at the exact threshold price, showing where profit pressure begins.
After the candle closes, Partial TP Areas are marked on the chart to provide structure and context.
This two-step approach ensures:
Live awareness during the candle
Confirmed visual zones after close
🎯 What this indicator is best used for
✔ Partial profit booking
✔ Risk reduction during strong trends
✔ Avoiding late entries into extended moves
✔ Trade management & discipline
⚙️ Sensitivity Modes
The indicator includes a single Sensitivity setting to adapt to different trading styles:
Relaxed → Earlier warnings, more frequent partial TP zones
Strict → Balanced, institutional default
Very Strict → Only major, extreme exhaustion moves
(All internal calculations are handled automatically.)
📌 Important Notes
This indicator does not generate buy or sell signals.
Rectangle height is just based on candle heights at that time (Not strength based)
Partial TP Areas are confirmed after candle close by design.
Live candle highlighting and guide levels provide real-time awareness, not prediction.
Best used alongside your existing strategy or entries.
🧩 Recommended Use
Scalping / Fast markets → Relaxed
Intraday trading → Strict
Swing / News / Higher timeframes → Very Strict
🚀 About HMM
House of Market Minds -(HMM) indicators focus on clarity, discipline, and decision support — not hype or unrealistic promises.
This is the first public release in the HMM series, built with a long-term professional vision.
Short-Term Bubble Risk [Phantom] Short-Term Bubble Risk
Concept
This indicator visualizes short-term market risk by measuring how far price is stretched relative to its recent weekly trend.
Instead of focusing on absolute price levels, it looks at price behavior.
A similar reading means similar market conditions, whether price is high or low.
The goal is to help identify areas of potential accumulation and potential distribution in a clear, visual way.
How It Works
The indicator compares the weekly closing price to a weekly moving average and displays the deviation as a histogram.
When price is far below its average, risk is considered lower
When price is far above its average, risk is considered higher
The zero line represents fair value, where price equals its weekly average.
Features
Color-coded histogram showing short-term risk levels
Designed to work across different assets and price ranges
Optional bar coloring on the main chart using weekly risk data
Safe to use on any timeframe (risk is calculated on weekly data)
Settings
# Moving Average Length (Weeks):
Adjusts how sensitive the indicator is to price changes
# Color Visibility Toggles:
Allows hiding or showing specific risk zones
# Bar Coloring:
Option to color chart candles based on weekly risk levels
Usage
This indicator is best used as a risk lens, not a timing tool.
Common uses include:
Identifying potential accumulation zones during weakness
Spotting overextended conditions during strong moves
Comparing short-term risk across different assets
Adding context to trend-following or DCA strategies
Trade Ideas
# Lower-risk zones (cool colors):
Can support accumulation or patience during downtrends
# Higher-risk zones (warm colors):
Can signal caution, reduced exposure, or profit-taking
Always combine with:
Trend direction
Market structure
Higher-timeframe context
Limitations
This indicator does not predict tops or bottoms
High risk can remain high during strong trends
Low risk does not guarantee immediate reversals
It should not be used as a standalone trading system.
Disclaimer
This indicator is for educational and informational purposes only.
It is not financial advice.
Always do your own research and manage risk appropriately.
Trend detection zero lag Trend Detection Zero-Lag (v6)
Trend Detection Zero-Lag is a high-performance trend identification indicator designed for intraday traders, scalpers, and swing traders who require fast trend recognition with minimal lag. It combines a zero-lag Hull Moving Average, slope analysis, swing structure logic, and adaptive volatility sensitivity to deliver early yet stable trend signals.
This indicator is optimized for real-time decision-making, particularly in fast markets where traditional moving averages react too slowly.
Core Features
🔹 Zero-Lag Trend Engine
Uses a Zero-Lag Hull Moving Average (HMA) to reduce lag by approximately 40–60% versus standard moving averages.
Provides earlier trend shifts while maintaining smoothness.
🔹 Multi-Factor Trend Detection
Trend direction is determined using a hybrid engine:
HMA slope (momentum direction)
Rising / falling confirmation
Swing structure detection (HH/HL vs LH/LL)
ATR-adjusted dynamic sensitivity
This approach allows fast flips when conditions change, without excessive noise.
Adaptive Volatility Sensitivity
Sensitivity dynamically adjusts based on ATR relative to price
In high volatility: faster reaction
In low volatility: smoother, more stable trend state
This ensures the indicator adapts across:
Trend days
Range days
Volatility expansion or contraction
Trend Duration Intelligence
The indicator tracks historical trend durations and maintains a rolling memory of recent bullish and bearish phases.
From this, it calculates:
Current trend duration
Average historical duration for the active trend direction
This helps traders gauge:
Whether a trend is early, mature, or extended
Probability of continuation vs exhaustion
Strength Scoring
A normalized Trend Strength Score (0–100) is calculated using:
Zero-lag slope magnitude
ATR normalization
This provides a quick read on:
Weak / choppy trends
Healthy trend continuation
Overextended momentum
Visual Design
Color-coded Zero-Lag HMA
Bullish trend → user-defined bullish color
Bearish trend → user-defined bearish color
Designed for dark mode / neon-style charts
Clean overlay with no clutter
Trend Detection Zero-Lag is built for traders who need:
Faster trend recognition
Adaptive behavior across market regimes
Structural confirmation beyond simple moving averages
Clear, actionable visual signals
Open Range BreakoutOpen Range Breakout (ORB)
The Open Range Breakout (ORB) is a classic intraday strategy used across stocks, indices, FX and futures. It focuses on how price behaves during the first minutes of a major session, when liquidity and volatility are highest.
This indicator fully automates the ORB process with session detection, box drawing, breakout & retest logic, and final Buy/Sell signals.
Multi-Session Support
Choose between the three most important global opens:
Asia (Tokyo) – JPY pairs, Asian indices, gold, crypto
London – FX majors, European indices, strong volatility
New York – US indices, USD pairs, gold, oil, highest volume
The Opening Range is calculated only during the selected session.
ORB Range (5 / 15 / 30 min)
The indicator builds the ORB High/Low from the first X minutes of the session, draws the box, and waits for price action once the range is complete.
How It Works
ORB Window → High/Low of the opening minutes are recorded.
Breakout → Price closes above/below the ORB → “BREAKOUT” label.
Retest → Price returns to the ORB box → “RETEST” label.
Confirmation Levels Freeze → Upper/lower structure set.
Final Signal
Close above frozen upper level → BUY
Close below frozen lower level → SELL
This filters out false breakouts and provides structured continuation signals.
Alerts
Includes built-in alert conditions for:
ORB BUY Signal
ORB SELL Signal
Alerts trigger exactly when the Buy or Sell label appears.
Works On
Stocks & indices
Forex
Futures
Moving Average Channel Breakout (No Repaint) This indicator creates a channel using two simple moving averages: SMA of highs (upper line) and SMA of lows (lower line).
How it works:
- When a candle closes above the upper channel line, the following candles turn green (bullish trend)
- When a candle closes below the lower channel line, the following candles turn red (bearish trend)
- The trend color remains until a breakout in the opposite direction occurs
Anti-repaint:
This indicator does NOT repaint. The candle color is determined at the open, based on the previous candle's close. Once a candle opens with a color, that color never changes.
Breakout strategy:
- Candle opens green → Long entry signal
- Candle opens red → Short entry signal
The signal and entry moment are perfectly synchronized at the candle open, making it ideal for systematic breakout strategies.
Robrechtian Long-Medium Breakout Trend SystemRobrechtian Long–Medium-Term Breakout Trend System
A professional, rule-based trend-following strategy designed to capture large, sustained price movements using pure price action and breakouts.
This system follows long-established trend-following philosophy: no prediction, no volatility targeting, and no profit targets. Only disciplined entries, position additions, and exits driven entirely by trend structure.
Core Principles
Breakout-driven entries: Initial positions are taken only when price breaks above/below the 80-day Donchian channel, confirming a long–medium-term trend shift.
Short-term confirmation: Breakouts must also exceed the 20-day channel, reducing false positives.
Trend-direction filter: A 50-day moving average slope filter ensures alignment with the broader trend.
Explosive bar filter: Entries avoid excessively large, single-candle expansions (>2.5× ATR(20)) to prevent chasing exhaustion spikes.
Pyramiding into strength: Additional units are added only when price makes fresh 20-day breakouts in the direction of the trend. No scaling out. No adding on dips.
Exit only on trend violation: Positions are closed exclusively when price breaks the opposite 80-day channel. This preserves unlimited upside while enforcing disciplined exits.
Pure trend philosophy: No volatility targeting, no smoothing, no discretionary overrides, no optimization for short-term performance.
Intended Use
This system is designed primarily for diversified futures portfolios, where diversification across dozens of globally liquid markets creates robustness and stability. However, it may also be used on individual assets for educational and analytical purposes.
The system embraces the core trend-following logic:
Small losses, big winners, and unlimited upside when trends persist.
⚠️ WARNINGS / DISCLAIMERS
⚠️ Warning 1 — This strategy is not optimized for single stocks
The Robrechtian Trend System is designed for multi-asset futures portfolios, not single equities.
Performance on individual tickers may vary greatly due to lack of diversification.
⚠️ Warning 2 — Trend following includes substantial drawdowns
Deep drawdowns are a normal and expected feature of all long-term trend-following systems.
The strategy does not attempt to smooth returns or manage volatility.
If you seek steady, low-volatility equity curves, this system is not suitable.
⚠️ Warning 3 — No volatility targeting or risk smoothing
This system intentionally avoids volatility-based position sizing.
Trades may experience larger fluctuations than systems using risk parity or vol targeting.
⚠️ Warning 4 — Not financial advice
This script is for educational and research purposes only.
Past performance does not guarantee future results.
Use at your own risk.
⚠️ Warning 5 — TradingView backtests have known limitations
TradingView does not simulate:
futures contract roll logic
slippage
real bid/ask spreads
liquidity conditions
limit-up/limit-down behavior
Results may vary from live market execution.
MA Strength Indicator EnhancedThe "MA Strength" is an indicator that measures market trend strength or (in the case of forex pairs) the relative strength of individual currencies based on up to five different moving averages (MA). It offers multiple calculation methods, such as simple summation, normalized value, or measuring ATR/percentage distance from the price. The results are summarized in a clear table, and it provides customizable alerts for trend changes or shifts in currency strength. The high level of configurability (e.g., MA weighting, "all MA alignment" requirement) allows for fine-tuning the strategy.
💬 Interpreting the Table (Top Rows)
The top row of the table shows the final output of the indicator. This changes according to the set "Table Mode".
Trend Mode: The top row shows the final, aggregated trend status (e.g., "BULLISH", "NEUTRAL") and the corresponding "Trend Value". This is the value the indicator compares to its thresholds.
Forex Mode: (Only on 6-character pairs): The top two rows show the strength of the Base currency and the Quote currency separately.
Calculation of the top rows:
The indicator calculates the individual score of all active MAs (according to the chosen method).
Trend Value: This is the final value calculated from the scores.
If "Enable Averaging" is ON, this will be the average of the scores (e.g., MA1 score is 5.0, MA2 score is 7.0 -> Trend Value is 6.0).
If averaging is OFF, this will be the sum of the scores (e.g., 5.0 + 7.0 = 12.0).
Forex Calculation: "Forex Mode" uses this "Trend Value". If the Trend Value is +6.0 (on an EURUSD pair):
The Base currency (EUR) value will be +6.0.
The Quote currency (USD) value will be -6.0.
The indicator compares these values to the thresholds to determine the "STRONG" status for EUR and "WEAK" status for USD.
📊 Calculation Methods
The indicator can calculate trend strength using 5 methods. The final "Trend Value" is derived from the results of these calculations.
Sum:
Description: Simply adds up the individual scores of all enabled moving averages (MA).
Formula: If the price is above an MA, it gets the "Score Above" value (e.g., +2.0); if below, it gets the "Score Below" value (e.g., -2.0).
Example: Result = (MA1 score) + (MA2 score) + ...
Normalized:
Description: Takes the sum obtained by the "Sum" method and converts it to a scale between -100% (maximally bearish) and +100% (maximally bullish). It takes into account the maximum possible positive and negative scores.
Formula: Result = (Total Score / Max Possible Score) * 100
Percentage Distance:
Description: This method also considers distance. The further the price is from the MA in percentage terms, the higher the score.
Formula: MA Score = (|Close Price - MA| / MA * 100) * Weight (The "Weight" is the "Score Above/Below" value set in settings).
ATR Distance:
Description: Similar to percentage distance, but normalizes the distance using volatility via ATR (Average True Range).
Formula: MA Score = (|Close Price - MA| / ATR) * Weight
Candle Count:
Description: Counts how many consecutive candles have been above or below the MA. It multiplies this number by the set weight.
Formula: MA Score = (Number of consecutive candles) * Weight
⚙️ Settings Options
Moving Averages (MA 1-5)
For each moving average, you can set:
Enable MA: Turn the specific MA on or off.
Type: The type of moving average (SMA, EMA, WMA, etc.).
Period: The period of the MA (e.g., 50, 200).
Score Above / Below: The most important setting. This defines the "weight" of the MA in the calculation. In "Sum" mode, this is a fixed score; in distance-based modes, this is a multiplier (weight). It is advisable to write a positive number for "Score Above" and a negative number for "Score Below".
Calculation Settings
Enable Averaging: If this is on, the indicator shows the average of the active MA scores, not the total score.
Exception: This function is not available in "Normalized" mode.
Require All MA Alignment: This is a strict filter. If enabled, the indicator only gives a "BULLISH" (or "STRONG") signal if the price is above all enabled moving averages. Similarly, a "BEARISH" signal only occurs if the price is below all moving averages. If the price is on the opposite side of even just one MA (e.g., above 4, below 1), the status becomes "NEUTRAL", regardless of the scores.
Strength / Trend Thresholds
Enable Extra Levels: If active, statuses are expanded: "EXT. BULLISH" / "EXT. BEARISH" (Trend mode) or "EXT. STRONG" / "EXT. WEAK" (Forex mode). This indicates stronger, overbought/oversold conditions.
Threshold setting: The thresholds (e.g., "Strong Above - ATR") determine when the calculated value counts as a "STRONG" or "WEAK" status.
🔢 Setting Thresholds via Calculation
If "Enable Averaging" is OFF, the "Trend Value" shown in the table will be the sum of the individual MA scores. Therefore, we must define the threshold by adding up the minimum expected performance from each moving average. This allows us to set different expectations for short, medium, and long-term averages.
Step 1: Determine MA weights
In our example, we use 3 active MAs with the following weights (Score Above values):
MA1 (Short): Weight = +2
MA2 (Medium): Weight = +3
MA3 (Long): Weight = +4
Step 2: Determine the minimum expected distance
Define a minimum distance expected from each MA to trigger a "Strong" signal.
Step 3: Calculate target scores and the final threshold
Note: If "Enable Averaging" is ON, the resulting value (sum of target scores) must be
averaged to get the final threshold.
Example 1: ATR Distance
-Goal: I want a "Strong" signal if the price is...
...at least 1.0 ATR above MA1 (Short),
...at least 1.5 ATR above MA2 (Medium),
...and at least 2.0 ATR above MA3 (Long).
-Calculation (Expected Distance * Weight):
MA1 Target Score: 1.0 * 2 = 2.0
MA2 Target Score: 1.5 * 3 = 4.5
MA3 Target Score: 2.0 * 4 = 8.0
-Final Threshold (Sum of Target Scores): 2.0 + 4.5 + 8.0 = 14.5
-Setting: Set "Strong Above - ATR" threshold to 14.5.
If "Enable Averaging" is ON, the obtained value must be averaged, and the result will be the
threshold: 4.8 (14.5 / 3 = 4.83).
Example 2: Percentage Distance
-Goal: I want a "Strong" signal if the price is...
...at least 0.5% above MA1,
...at least 1.0% above MA2,
...and at least 1.5% above MA3.
-Calculation (Expected Distance * Weight):
MA1 Target Score: 0.5 * 2.0 = 1.0
MA2 Target Score: 1.0 * 3.0 = 3.0
MA3 Target Score: 1.5 * 4.0 = 6.0
-Final Threshold (Sum): 1.0 + 3.0 + 6.0 = 10.0
-Setting: Set "Strong Above - Percentage" threshold to 10.0.
If "Enable Averaging" is ON, the obtained value must be averaged, and the result will be the
threshold.
Example 3: Candle Count
-Goal: I want a "Strong" signal if...
...at least 3 consecutive candles are above MA1,
...at least 5 consecutive candles are above MA2,
...and at least 10 consecutive candles are above MA3.
-Calculation (Expected Candle Count * Weight):
MA1 Target Score: 3 * 2.0 = 6.0
MA2 Target Score: 5 * 3.0 = 15.0
MA3 Target Score: 10 * 4.0 = 40.0
-Final Threshold (Sum): 6.0 + 15.0 + 40.0 = 61.0
-Setting: Set "Strong Above - Candle" threshold to 61.0.
If "Enable Averaging" is ON, the obtained value must be averaged, and the result will be the
threshold.
Example 4: Sum
In this mode, distance does not matter, only whether the price is above or below the MA.
-Goal: "Strong" signal if the price is above the long-term averages, but can be below the short-term (MA1).
MA1 (Short): Can be below (Weight: -2.0)
MA2 (Medium): Must be above (Weight: +3.0)
MA3 (Long): Must be above (Weight: +4.0)
-Calculation: -2.0 + 3.0 + 4.0 = 5.0
-Setting: Set "Strong Above - Sum" threshold to 5.0.
If it must be above all three moving averages, the threshold would be 2.0 + 3.0 + 4.0 = 9.0.
If "Enable Averaging" is ON, the obtained value must be averaged, and the result will be the
threshold.
Example 5: Normalized
The basic logic is similar to the "Sum" method.
-Goal: "Strong" signal if price is above MA2 and MA3, but potentially below MA1.
-Calculation: Target Sum: 5.0. Max Possible Score (above all): 9.0.
-Threshold: (5.0 / 9.0) * 100 = 55.5
In this calculation method, averaging cannot be set.
The Usage of the "ATR %" Row
The "ATR %" row shows the percentage movement of an average candle.
How to use this with "Percentage Distance" mode:
This number gives a baseline. It helps decide if the "Percentage Distance" threshold is realistic.
Example: You see the "ATR %" value is hovering around 1.2%. This means a "normal" candle moves about 1.2%.
If you set the Percentage threshold to 0.5%, it is too low. The indicator will constantly give a "Strong" signal because even average movement (noise) exceeds the threshold.
Correct Usage: If "normal" movement is 1.2%, then a "strong" movement (trend) needs to be significantly larger. For example, set the threshold to double the ATR %: 2.4 (2 * 1.2). Thus, you only get a "Strong" signal if the movement is twice the average volatility.
Supplementary Information
Rounding Differences:
The numbers displayed in the table and the precision of calculations in the background differ.
Table Display: The indicator rounds numbers to two decimal places in the table. So, if the value is 0.996, the table shows 1.00 (rounded up).
Internal Calculation: The background calculation uses much higher precision. When determining status (STRONG vs NEUTRAL), the program compares the precise, unrounded value to the threshold.
Result: Due to rounding, it may happen that if the threshold is 1.00 and the table shows 1.00, the status flickers between Strong and Neutral. If this is bothersome, it is advisable to set a slightly lower threshold (e.g., 0.98).
🔔 Alert Settings
The indicator can send alerts when the status changes.
Alert Method:
Trend: Alerts when the main trend status changes (e.g., from "NEUTRAL" to "BULLISH"). You can specify which direction to alert for (e.g., only "BULLISH").
Forex: Works only on 6-character forex pairs. You can set separate alerts for the Base or Quote currency.
Forex Strength Level: You can specify at which status level to alert (e.g., "WEAK" or "EXT. STRONG").
📈 Trading Tips
Trend Confirmation: Use the "BULLISH" / "BEARISH" status to confirm your existing strategy (e.g., breakouts, bounces off support).
Forex Pairing: In Forex mode, look for pairs where the Base currency is "STRONG" and the Quote currency is "WEAK" (or "EXT. STRONG" / "EXT. WEAK") for a long position.
Short Position: Reverse the above (Base: WEAK, Quote: STRONG).
Smart Money Concepts [Modern Neon V2]This is a visually overhauled version of the popular Smart Money Concepts (SMC) indicator, designed specifically for traders who prefer Dark Mode, High Contrast, and Maximum Visibility.
While the underlying logic preserves the robust structure detection of the original LuxAlgo script, the visual presentation has been completely modernized. The default "dull" colors have been replaced with a vibrant Cyberpunk Neon palette, and text labels have been significantly upscaled to ensure market structure is readable at a glance, even on high-resolution monitors.
🎨 Visual & Style Enhancements:
Neon Palette:
Bullish: Electric Cyan (#00F5FF)
Bearish: Neon Hot Pink (#FF007F)
Neutral/Levels: Bright Gold (#FFD700)
High Visibility Text: Market Structure labels (BOS, CHoCH, HH/LL) have been upgraded from "Tiny" to Normal size. Key Swing Points (Strong High/Low) are set to Large.
Modern "Solid" Blocks: Order Blocks and FVGs feature reduced transparency (60%) for a bolder, solid look that doesn't get washed out on dark backgrounds.
Decluttered: Removed unnecessary "Small" elements and dotted lines to focus on price action.
🛠 Key Features:
Real-Time Structure: Automatic detection of Internal and Swing structure (BOS & CHoCH) with trend coloring.
Order Blocks: Highlights Bullish and Bearish Order Blocks with new mitigation logic.
Fair Value Gaps (FVG): Auto-threshold detection for high-probability gaps.
Premium & Discount Zones: Automatically plots equilibrium zones for better entry targeting.
Multi-Timeframe Levels: Display Daily, Weekly, and Monthly highs/lows.
Trend Dashboard: (If you added the dashboard code) A clean panel displaying the current Internal and Swing trend bias.
CREDITS & LICENSE: This script is a modification of the "Smart Money Concepts " indicator.
Original Author: © LuxAlgo
License: Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
creativecommons.org
Regime Filter [BigBeluga]🔵 OVERVIEW
Regime Filter is a dual-factor trend condition tool combining price trend momentum and volume expansion into a single, easy-to-read visual framework. It quantifies recent trend direction and volume shifts, then shows them as:
Two oscillator plots for Trend and Volume regimes
Dynamic candle coloring for trend clarity
A quadrant scatter map in your chart corner for immediate regime recognition.
This filter helps traders quickly detect when a trend is healthy & confirmed by strong volume, or weakening & vulnerable due to low volume.
🔵 CONCEPTS
Trend Oscillator: A loop-based trend value calculated by comparing the current smoothed price (HMA of HLC3) against its own trailing history. Positive values indicate trend-up regimes, negative values signal trend-down phases.
Volume Oscillator: Similar loop logic but on smoothed volume (HMA of Volume) — highlighting whether trading activity is expanding or contracting relative to past bars.
hma = ta.hma(hlc3, 15)
vol = ta.hma(volume, 15)
for i = 0 to len
if hma > hma
trend += 1
else
trend -= 1
for i = 0 to len
if vol > vol
voltrend += 1
else
voltrend -= 1
Regime Map Scatter Plot: A unique 2D quadrant displayed in the bottom-right corner. This shows where the market is sitting:
> Top Right (green): Trend ↑ and Volume ↑ → strong confirmed up trend.
> Top Left (red): Trend ↓ but Volume ↑ → strong sell momentum.
> Bottom Right (blue): Trend ↑ but Volume ↓ → uptrend losing steam.
> Bottom Left (yellow): Trend ↓ and Volume ↓ → weak bearish drift.
Dynamic Candle Coloring: Candles are colored by trend only: green for uptrends, red for downtrends, and orange near reversals.
Threshold Fills: The oscillator region is shaded green above +10 (healthy uptrend) and red below -10 (strong downtrend) for instant confidence.
🔵 FEATURES
Normalized trend and volume values adapt automatically to your lookback length.
Candlestick color overrides highlight current trend state in real-time.
Clear zero-line and fill bands help you gauge strength vs. noise.
Scatter regime dashboard updates live to track when trend and volume align or decouple.
Color gradients show intensification or cooling in both oscillators and the regime map.
🔵 HOW TO USE
Look for sustained positive trend and volume values to confirm strong directional moves.
Watch for the scatter dot in the green square (top right) for high-confidence breakouts.
If the dot drops to bottom right, uptrend may be tiring — possible exit zone.
If the dot jumps top left, bearish drive is reinforced by heavy volume — caution on longs.
Use the orange trend coloring as an early warning that trend pressure may be shifting.
Combine with breakout levels or moving averages for a robust regime filter system.
🔵 CONCLUSION
The Regime Filter distills price trend and volume dynamics into an actionable multi-mode display: oscillators, color-coded candles, and an intuitive scatter map. This all-in-one layout helps traders visually read market regime strength and spot fading trends before they turn — perfect for swing traders, intraday scalpers, and macro trend followers alike.
The Oracle: Dip & Top Adaptive Sniper [Hakan Yorganci]█ OVERVIEW
The Oracle: Dip & Top Adaptive Sniper is a precision-focused trend trading strategy designed to solve the biggest problem in swing trading: Timing.
Most trend-following strategies chase price ("FOMO"), buying when the asset is already overextended. The Oracle takes a different approach. It adopts a "Sniper" mentality: it identifies a strong macro trend but patiently waits for a Mean Reversion (pullback) to execute an entry at a discounted price.
By combining the structural strength of Moving Averages (SMA 50/200) with the momentum precision of RSI and the volatility filtering of ADX, this script filters out noise and targets high-probability setups.
█ HOW IT WORKS
This strategy operates on a strictly algorithmic protocol known as "The Yorganci Protocol," which involves three distinct phases: Filter, Target, and Execute.
1. The Macro Filter (Trend Identification)
* SMA 200 Rule: By default, the strategy only scans for buy signals when the price is trading above the 200-period Simple Moving Average. This ensures we are always trading in the direction of the long-term bull market.
* Adaptive Switch: A new feature allows users to toggle the Only Buy Above SMA 200? filter OFF. This enables the strategy to hunt for oversold bounces (dead cat bounces) even during bearish or neutral market structures.
2. The Volatility Filter (ADX Integration)
* Sideways Protection: One of the main weaknesses of moving average strategies is "whipsaw" losses during choppy, ranging markets.
* Solution: The Oracle utilizes the ADX (Average Directional Index). It will BLOCK any trade entry if the ADX is below the threshold (Default: 20). This ensures capital is only deployed when a genuine trend is present.
3. The Sniper Entry (Buying the Dip)
* Instead of buying on breakout strength (e.g., RSI > 60), The Oracle waits for the RSI Moving Average to dip into the "Value Zone" (Default: 45) and cross back up. This technique allows for tighter stops and higher Risk/Reward ratios compared to traditional breakout systems.
█ EXIT STRATEGY
The Oracle employs a dynamic dual-exit mechanism to maximize gains and protect capital:
* Take Profit (The Peak): The strategy monitors RSI heat. When the RSI Moving Average breaches the Overbought Threshold (Default: 75), it signals a "Take Profit", securing gains near the local top before a potential reversal.
* Stop Loss (Trend Invalidated): If the market structure fails and the price closes below the 50-period SMA, the position is immediately closed to prevent deep drawdowns.
█ SETTINGS & CONFIGURATION
* Moving Averages: Fully customizable lengths for Support (SMA 50) and Trend (SMA 200).
* Trend Filter: Checkbox to enable/disable the "Bull Market Only" rule.
* RSI Thresholds:
* Sniper Buy Level: Adjustable (Default: 45). Lower values = Deeper dips, fewer trades.
* Peak Sell Level: Adjustable (Default: 75). Higher values = Longer holds, potentially higher profit.
* ADX Filter: Checkbox to enable/disable volatility filtering.
█ BEST PRACTICES
* Timeframe: Designed primarily for 4H (4-Hour) charts for swing trading. It can also be used on 1H for more frequent signals.
* Assets: Highly effective on trending assets such as Bitcoin (BTC), Ethereum (ETH), and high-volume Altcoins.
* Risk Warning: This strategy is designed for "Long Only" spot or leverage trading. Always use proper risk management.
█ CREDITS
* Original Concept: Inspired by the foundational work of Murat Besiroglu (@muratkbesiroglu).
* Algorithm Development & Enhancements: Developed by Hakan Yorganci (@hknyrgnc).
* Modifications include: Integration of ADX filters, Mean Reversion entry logic (RSI Dip), and Dynamic Peak Profit taking.
Trendshift [CHE]Trendshift — First-Shift Regime Turns with Premium/Discount Context
Summary
Trendshift highlights the first confirmed directional structure shift in price and overlays a premium or discount context based on the most recent structural range. It identifies the major swing levels, detects a regime transition when price closes beyond these levels with optional ATR-based conviction, and marks only the first shift per direction to reduce repetition and noise. The indicator then establishes a premium or discount band around the break and tints the background when price operates in either region. This produces a clean regime-aware view that emphasizes only the earliest actionable turn while maintaining contextual bias information.
Motivation: Why this design?
Conventional swing-based structure tools often fire repeated signals after each minor break, especially in volatile environments. This leads to cluttered charts and little informational value. Trendshift focuses on the core trading need: isolating the first confirmed change in directional structure and providing a premium or discount context after the break. By limiting signals to the initial flip and suppressing further markers until direction reverses again, the script reduces noise and highlights only the structural event that materially matters. The band logic further addresses the challenge of distinguishing contextual extremes and avoiding trades taken too late after a shift.
What’s different vs. standard approaches?
Baseline reference: Most structure indicators repeatedly plot every new break of a swing high or swing low.
Differences:
Only the first confirmed bullish or bearish shift is plotted until the opposite direction occurs.
ATR-filtered breakout validation to reduce false breaks during volatility spikes.
A reduced premium and discount band derived from the breakout candle and prior swing structure.
Tinted background for contextual positioning rather than explicit entry signals.
Practical effect:
Fewer but more meaningful shift markers.
Clear visual context of where price operates relative to the structural band.
Cleaner regime transitions and less chart clutter.
How it works (technical)
The indicator continuously evaluates major swing highs and lows using a symmetric window length. When a swing is confirmed, the script stores its price and bar index. A structure shift occurs when price closes beyond the most recent major swing in the opposite direction. Optional ATR filtering requires the breakout distance to exceed an ATR-scaled threshold.
Upon a confirmed shift, the script sets a regime state that remains active until a new shift or an optional timeout. It also establishes a structural band anchored between the breakout candle extremum and the prior opposite swing. The band informs the premium and discount boundaries, each representing a quarter subdivision.
Only the first shift event per direction generates a visual triangle marker. The band is validated by comparing its height to ATR to avoid extremely narrow structures. Background tinting activates whenever price resides within the premium or discount zones. Persistent variables maintain previous structural states and prevent re-triggering until direction reverses.
Parameter Guide
Swing length (default 5): Controls the number of bars used on each side of a swing. Smaller values are more reactive; larger values reduce noise.
Use ATR filter (default true): Requires breakout strength beyond the swing to exceed an ATR-scaled threshold. Disabling increases signal frequency.
ATR length (default 14): Controls volatility estimation for breakout filtering and band validation.
Break ATR multiplier (default 1.0): Higher values require stronger breakouts, reducing false shifts.
Enable framework (default true): Activates the premium and discount context logic.
Persist band on timeout (default true): Retains the current band after a regime timeout.
Min band size ATR mult (default 0.5): Rejects extremely small bands and prevents unrealistic tinting.
Regime timeout bars (default 500): Resets the regime after extended inactivity.
Invert colors (default false): Swaps premium and discount tint color assignments.
Show zone tint (default true): Toggles background shading.
Show shift markers (default true): Enables or disables the first-shift triangles.
Reading & Interpretation
A green or red tint signals that price is operating in the discount or premium region of the most recent structural band. These regions are derived from the breakout event and the prior swing. A green triangle below a bar indicates the first bullish structure shift after a bearish regime. A red triangle above a bar indicates the first bearish shift after a bullish regime. No further markers appear until direction reverses. When tint is active, price location within the band offers simple contextual bias without providing explicit entries.
Practical Workflows & Combinations
Trend following: Treat the first bullish marker as the earliest confirmation of a potential up-regime and the first bearish marker for a potential down-regime. Use price location relative to the premium and discount zones as context for continuation or mean-reversion setups.
Structure-based execution: Combine with simple swing highs and lows to refine entry points within discount after a bullish shift or within premium after a bearish shift.
Higher-timeframe overlays: Apply the indicator on higher timeframes to define macro structure, then trade on lower timeframes using the band as a contextual anchor.
Risk management: When price stays in premium during a bearish regime or in discount during a bullish regime, consider protective actions or position management adjustments.
Behavior, Constraints & Performance
The script uses only confirmed swing points and closed-bar conditions, so repainting from future bars does not occur except the inherent delay of pivot confirmation. No higher-timeframe security calls are used, avoiding HTF repaint paths.
Performance impact is minimal because the script uses no loops or arrays and relies on persistent variables. The maximum bars back setting is five-thousand, required for swing lookback. Known limitations include quiet behavior during long consolidations, occasional delayed recognition of shifts due to swing confirmation, and limited effectiveness during large market gaps where extremum logic may be distorted.
Sensible Defaults & Quick Tunin g
Increase the swing length for smoother trend shifts and fewer signals.
Decrease the swing length for more sensitivity.
Raise the ATR breakout multiplier to reduce noise in volatile markets.
Lower the band size requirement to make premium and discount zones more active on slower markets.
Extend the regime timeout for slow-moving assets.
What this indicator is—and isn’t
This tool is a structural regime-shift detector with contextual premium and discount shading. It is not a complete trading system and does not include entries, exits, or risk models. It does not predict future price movement. It should be combined with broader structure analysis, liquidity considerations, and risk management practices.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
SNP420/INDI/support_resist_future_levelFunctionality – short description
The indicator automatically detects the latest pivot highs/lows and builds the current resistance and support levels from them. New levels start as candidate levels (dotted lines).
Using an ATR-based tolerance, it counts how many times price precisely tests and rejects the level (touch + reversal).
Once the minimum number of touches is reached, the level is marked as validated (solid line). The indicator also detects breakouts of S/R, colors breakout candles, projects a target level after the breakout, and highlights retests of the broken levels with boxes.
autor: SNP_420
project: FNXS
ps: Piece a love
Trend BG v2Trend BG v2 colors the chart background based on Directional Movement (DM) and DI strength. It provides an easy visual way to identify trending and non-trending conditions on any timeframe.
How It Works
The script calculates:
Upward Directional Movement (DM+)
Downward Directional Movement (DM–)
True Range smoothed with RMA (14-period)
Positive DI and Negative DI values from classic ADX logic
The trend state is determined by comparing +DI vs –DI:
+DI > –DI → Uptrend
–DI > +DI → Downtrend
Otherwise → Neutral / Sideways
The script then applies a background color based on the detected trend.
Color transparency and theme can be adjusted using the input options.
Why This Script Is Useful
Instead of plotting DI lines or ADX curves, this version presents the trend directly on the background, making it ideal for:
Quick trend recognition
Visual filtering of choppy vs trending markets
Enhancing manual or automated setups
Intraday scalping, positional trend following, and multi-timeframe analysis
The background display is subtle, customizable, and does not interfere with other indicators on the chart.
Key Features
Trend-colored chart background (Up / Down / Neutral)
Adjustable color palette and transparency
Built using classic Directional Movement logic
Works on all markets and all timeframes
Lightweight and efficient (no repainting)
How to Use It
Apply the indicator on your chart and use the background colors to:
Align trades with the market trend
Avoid trading during neutral or low-momentum periods
Confirm trend direction before entries
Improve clarity when using your existing indicators
This indicator does not generate buy/sell signals by itself; instead, it helps visualize the underlying trend environment so traders can make more informed decisions.
paigep.llc - SuperMA
SuperMA is a multi-layered moving-average and candle-coloring system that combines SMA, EMA, and optional HMA logic to help traders visualize trend shifts, pullbacks, and momentum changes in a clean, structured way.
The script includes multiple modules: trend-based moving averages, pullback signals, exit logic, and an optional HMA cross engine.
📌 Core Features
1. Full SMA + EMA Framework
The indicator plots multiple moving averages (8, 9, 13, 20, 50, 200) using both SMA and EMA calculations. Each line automatically colors bullish or bearish based on its relationship to the 200-period baseline. Users can toggle SMAs and EMAs independently for clearer chart control.
2. Main Trend Entry & Exit Logic (8×200 and 8×20)
Built-in crossover logic detects:
Main Entry: SMA 8 crossing above/below EMA 200
Main Exit: SMA 8 and SMA 20 cross (with an option to choose which SMA is treated as the “fast” leg)
A “first exit only” option allows the script to ignore additional exit signals until a new trend regime begins.
3. Pullback Module (20 SMA Interaction)
Pullback entries and exits occur when price crosses the 20 SMA during existing trend conditions.
This includes:
Pullback entries through the 20 SMA
Pullback exits back across the 20 SMA
Labels and candle colors are available for all pullback events.
4. Optional HMA Cross Module
A separate module allows traders to use two Hull Moving Averages (HMA) with customizable:
Lengths
Independent timeframes
Line colors
Cross-based entries and exits
This module has its own events, labels, and optional candle coloring.
5. Advanced Candle Coloring System
Candle coloring is layered in priority order, based on:
Main trend entries
Main exits
HMA entries
HMA exits
Pullback entries
Pullback exits
Trend-only candles (based on SMA 8 relative to EMA 200)
Users may also independently color wicks and borders.
6. Configurable Alerts (Fully Decoupled from Visuals)
Alerts are available for all major events, including:
Main Entries (8×200)
Main Exits (8×20)
Pullback Entries and Exits
HMA Entries and Exits
Bull or Bear Trend candles
Any colored candle event
Alerts can fire on bar close only or intrabar, depending on user preference.
Use Cases
SuperMA helps traders visualize:
Trend direction using SMA/EMA structure
Momentum shifts through HMA crosses
Pullback zones around the 20 SMA
Early regime transitions based on the 8×200 relationship
Candle-level context through color-coded bars
The indicator works across all markets and timeframes.
⚠️ Note
This tool is for visual and analytical assistance only. It does not guarantee future performance and should be combined with additional analysis and risk management.
4H Confirmation + 1H SFP BOS Retest4H Confirmation + 1H Entry (SFP + BOS + Retest)Run it on 1H
Uses 4H EMAs for higher-timeframe direction (confirmation)
Uses 1H SFP + BOS + retest + RSI for entries
This gives you more trades, still guided by the 4H trend
Fractals Trend [BigBeluga]🔵 OVERVIEW
Fractals Trend is a trend-following overlay that leverages fractal swing points to define dynamic support and resistance zones. By storing and averaging recent high and low fractals, it determines trend direction and plots a smooth band that flips depending on market bias—displaying support during uptrends and resistance during downtrends .
🔵 CONCEPTS
Fractal Swings: Fractals are identified using a customizable length. A high fractal forms when the current high is the highest in a range; a low fractal when the current low is the lowest.
Fractal Memory: The indicator keeps a rolling window of recent high and low fractals inside arrays, limited by the user-defined storage quantity.
switch
upperF => FracrtalsUpper.push(high )
lowerF => FracrtalsLower.push(low )
FracrtalsUpper.size() > fCount => FracrtalsUpper.shift()
FracrtalsLower.size() > fCount => FracrtalsLower.shift()
Trend Detection: Price crossing above the average, min/max or median high fractals signals an uptrend; crossing below average, min/max or median low fractals signals a downtrend.
Dynamic Band Plotting: Depending on the trend, the script plots the average of either the upper or lower fractals as a trailing support or resistance line.
Visual Confirmation: Fractal labels appear as triangle markers at highs and lows, providing additional structural context.
🔵 FEATURES
Automatically detects high and low fractals using customizable length.
Stores a defined number of fractals to smooth out noise and reduce false signals.
Flips trend bias dynamically with colored band and smooth transitions.
Plots fractal-based support in bullish trends, resistance in bearish trends.
Triangle markers show real-time fractal highs and lows.
Fully configurable visuals, color themes, and fractal detection logic.
Clean, non-intrusive overlay that works on any market or timeframe.
🔵 HOW TO USE
Use the colored band as a directional filter: green = uptrend (support), orange = downtrend (resistance).
Combine with entry signals or break/retest strategies when price approaches the band.
Use triangle markers to confirm structural swing points.
Adjust Fractals Length to tune sensitivity—shorter values detect quicker shifts, longer values reduce noise.
Change the fractal bands type to adapt trend detection to different market conditions.
Use in conjunction with momentum or volume tools for confluence.
🔵 CONCLUSION
Fractals Trend offers a lightweight, intuitive way to track market bias using price structure alone. Its smart switching logic and clean visuals make it a powerful tool for trend traders seeking structure-based dynamic S/R—without laggy moving averages or overcomplicated signals.
Trend Line Methods (TLM)Trend Line Methods (TLM)
Overview
Trend Line Methods (TLM) is a visual study designed to help traders explore trend structure using two complementary, auto-drawn trend channels. The script focuses on how price interacts with rising or falling boundaries over time. It does not generate trade signals or manage risk; its purpose is to support discretionary chart analysis.
Method 1 – Pivot Span Trendline
The Pivot Span Trendline method builds a dynamic channel from major swing points detected by pivot highs and pivot lows.
• The script tracks a configurable number of recent pivot highs and lows.
• From the oldest and most recent stored pivot highs, it draws an upper trend line.
• From the oldest and most recent stored pivot lows, it draws a lower trend line.
• An optional filled area can be drawn between the two lines to highlight the active trend span.
As new pivots form, the lines are recalculated so that the channel evolves with market structure. This method is useful for visualising how price respects a trend corridor defined directly by swing points.
Method 2 – 5-Point Straight Channel
The 5-Point Straight Channel method approximates a straight trend channel using five key points extracted from a fixed lookback window.
Within the selected window:
• The window is divided into five segments of similar length.
• In each segment, the highest high is used as a representative high point.
• In each segment, the lowest low is used as a representative low point.
• A straight regression-style line is fitted through the five high points to form the upper boundary.
• A second straight line is fitted through the five low points to form the lower boundary.
The result is a pair of straight lines that describe the overall directional channel of price over the chosen window. Compared to Method 1, this approach is less focused on the very latest swings and more on the broader slope of the market.
Inputs & Menus
Pivot Span Trendline group (Method 1)
• Enable Pivot Span Trendline – Turns Method 1 on or off.
• High trend line color / Low trend line color – Colors of the upper and lower trend lines.
• Fill color between trend lines – Base color used to shade the area between the two lines. Transparency is controlled internally.
• Trend line thickness – Line width for both high and low trend lines.
• Trend line style – Line style (solid, dashed, or dotted).
• Pivot Left / Pivot Right – Number of bars to the left and right used to confirm pivot highs and lows. Larger values produce fewer but more significant swing points.
• Pivot Count – How many historical pivot points are kept for constructing the trend lines.
• Lookback Length – Number of bars used to keep pivots in range and to extend the trend lines across the chart.
5-Point Straight Channel group (Method 2)
• Enable 5-Point Straight Channel – Turns Method 2 on or off.
• High channel line color / Low channel line color – Colors of the upper and lower channel lines.
• Channel line thickness – Line width for both channel lines.
• Channel line style – Line style (solid, dashed, or dotted).
• Channel Length (bars) – Lookback window used to divide price into five segments and build the straight high/low channel.
Using Both Methods Together
Both methods are designed to visualise the same underlying idea: price tends to move inside rising or falling channels. Method 1 emphasises the most recent swing structure via pivot points, while Method 2 summarises the broader channel over a fixed window.
When the Pivot Span Trendline corridor and the 5-Point Straight Channel boundaries align or intersect, they can highlight zones where multiple ways of drawing trend lines point to similar support or resistance areas. Traders can use these confluence zones as a visual reference when planning their own entries, exits, or risk levels, according to their personal trading plan.
Notes
• This script is meant as an educational and analytical tool for studying trend lines and channels.
• It does not generate trading signals and does not replace independent analysis or risk management.
• The behaviour of both methods is timeframe- and symbol-agnostic; they will adapt to whichever chart you apply them to.
NBarForwardOdds# N Bar Forward Odds
## Description
Calculates the probability of a closing price exceeding a closing price at a specified interval away from the
current bar. It does this by iterating through a series of intervals (1 to 20) and determining if the closing
price of the current bar is greater than the closing price of the bar at that interval.
## Usage:
Selectable base interval from the input configuration panel is calculated with a value step in a range `1:20` to get the final interval displayed.
Bollinger Bands Regression Forecast [BigBeluga]🔵 OVERVIEW
The Bollinger Bands Regression Forecast combines volatility envelopes from Bollinger Bands with a linear regression-based projection model .
It visualizes both current and future price zones by extrapolating the Bollinger channel forward in time, giving traders a statistical forecast of probable support and resistance behavior.
🔵 CONCEPTS
Classic Bollinger Bands use a moving average (basis) and standard deviation (deviation) to form dynamic envelopes around price.
This indicator enhances them with linear regression slope detection , allowing it to forecast how the band may expand or contract in the future.
Regression is applied to both the band’s basis and deviation components to predict their trajectory for a user-defined number of Forecast Bars .
The resulting forecast creates a smoothed, funnel-shaped projection that dynamically adapts to volatility.
▲ and ▼ markers highlight potential mean reversion points when price crosses the outer bounds of the bands.
🔵 FEATURES
Forecast Engine : Uses linear regression to project Bollinger Band movement into the future.
Dynamic Channel Width : Adapts standard deviation and slope for realistic volatility modeling.
Auto-Labeled Levels : Displays live upper and lower forecast values for quick reference.
Cross Signals : Marks potential overbought and oversold zones with ▲/▼ signals when price exits the band.
Trend-Adaptive Basis Color : Basis line automatically switches color to represent short-term trend direction.
Customizable Colors and Widths for complete visual control.
🔵 HOW TO USE
Apply the indicator to visualize both current Bollinger structure and its forward projection.
Use ▲/▼ breakout markers to identify short-term reversals or volatility shifts.
When price consistently rides the upper band forecast, the trend is strong and likely continuing.
When regression shows narrowing bands ahead, expect a volatility contraction or consolidation period.
For range traders, outer projected bands can be used as potential mean reversion entry points .
Combine with volume or momentum filters to confirm whether breakouts are genuine or fading.
🔵 CONCLUSION
Bollinger Bands Regression Forecast transforms classic Bollinger analysis into a predictive forecasting model .
By merging volatility dynamics with regression-based extrapolation, it provides traders with a forward-looking visualization of likely price boundaries — revealing not only where volatility is but also where it’s heading next.
Normalised Volume Oscillator [BackQuant]Normalised Volume Oscillator
A refined evolution of the Klinger Volume Oscillator, rebuilt for clarity, precision, and adaptability. This tool normalizes volume-driven momentum into a bounded scale so you can easily identify shifts in accumulation and distribution across any asset or timeframe, while keeping readings comparable between markets.
What this indicator does
The Normalised Volume Oscillator quantifies the balance between buying and selling pressure using the Klinger Volume Oscillator (KVO) as its base, then rescales it dynamically into a normalized range between -0.5 and +0.5. This normalization allows traders to interpret relative strength and exhaustion in volume flow, rather than dealing with raw unbounded values that differ across symbols.
It is a momentum-volume hybrid that reveals the strength of trend participation: when buyers dominate, normalized readings rise toward +0.5; when sellers dominate, they fall toward -0.5. The midline (0) acts as an equilibrium between accumulation and distribution.
Core components
Klinger Volume Oscillator: The foundation of this indicator, combining volume with price trend direction to measure long-term money flow relative to short-term movement.
Normalization process: The raw KVO is scaled over a user-defined Normalisation Period , computing `(KVO - lowest) / (highest - lowest) - 0.5`. This centers all readings around zero, allowing overbought/oversold detection independent of asset volatility or volume magnitude.
Signal moving average: The normalized KVO is smoothed with a user-selectable moving average type—SMA, EMA, DEMA, TEMA, HMA, ALMA, and others. This becomes the signal line for confirmation of trend direction or mean-reversion setups.
How it works conceptually
1. The KVO detects when volume supports price movement (bullish) or diverges from it (bearish).
2. The script normalizes the raw KVO so that relative magnitude is consistent—what is “strong buying pressure” looks the same on BTCUSD as it does on AAPL.
3. Overbought and oversold regions are derived statistically, rather than from arbitrary values, based on percentile zones around ±0.4 and ±0.5.
4. The oscillator is optionally combined with a moving average to help identify crossovers, momentum shifts, and divergence confirmation.
How to interpret it
Above 0: Indicates dominant buying pressure and likely continuation of upward momentum.
Below 0: Suggests dominant selling pressure and potential continuation of downward movement.
Crosses of 0: Often mark transitions between accumulation and distribution phases.
+0.4 to +0.5 zone: Overbought region where buying intensity is stretched; watch for deceleration or divergence.
[-0.4 to -0.5 zone: Oversold region indicating panic or exhaustion in selling.
Signal-line crossover: A traditional momentum confirmation method; when the normalized KVO crosses above its moving average, buyers regain control, and vice versa.
Why normalization matters
Typical volume oscillators are asset-specific—what is considered “high” volume for one symbol is not the same for another. By dynamically normalizing KVO values within a rolling lookback, this version transforms raw amplitude into a standardized scale. This means you can:
Compare multiple assets objectively.
Set consistent alert thresholds for overbought/oversold regions.
Avoid misleading interpretations from absolute oscillator values.
Customization and UI
Moving Average Type & Period: Select your preferred smoothing method (SMA, EMA, TEMA, etc.) and adjust its period to tune sensitivity.
Normalisation Period: Defines how many bars the KVO range is measured over; shorter periods adapt faster, longer ones smooth more.
Visual Toggles:
* Show Oscillator : enables or hides the core histogram.
* Show Moving Average : adds a smoothed overlay for signal confirmation.
* Paint Candles : optional color overlay for chart candles based on oscillator direction.
* Show Static Levels : displays ±0.4 and ±0.5 zones for overbought/oversold boundaries.
How to use it
Trend confirmation: Use midline (0) crossovers as confirmation of emerging trend shifts—cross above 0 suggests a new bullish phase, cross below 0 a bearish one.
Reversal spotting: Look for normalized readings reaching ±0.5 and flattening, or diverging against price extremes.
Divergence analysis: When price makes a new high but the normalized oscillator fails to, it signals waning buying conviction (and vice versa for lows).
Multi-timeframe integration: Works best alongside higher timeframe trend filters or moving averages; normalization makes this consistent.
Alerts
Prebuilt alert conditions allow quick automation:
Midline crossovers (0): transition between accumulation and distribution.
Overbought (+0.4) and Oversold (-0.4) triggers for potential exhaustion.
Signal moving-average crosses for confirmation entries.
Tips for use
Combine with price structure—don’t fade every overbought/oversold reading; confirm with break of structure or candle patterns.
Use longer normalization periods for position trading, shorter for intraday analysis.
In choppy markets, treat 0-line oscillations as noise filters, not trade triggers.
Summary
The Normalised Volume Oscillator modernizes the classic Klinger Volume Oscillator by normalizing its readings into a standardized range. This makes it more adaptive across assets and timeframes, improves interpretability, and provides intuitive, data-driven overbought/oversold levels. Whether used standalone or as a confirmation layer, it offers a clearer view of volume dynamics—revealing when markets are truly being accumulated, distributed, or stretched beyond their sustainable extremes.
Adaptive Trend Trigger // VX-ATTAdaptive Trend Trigger // VX-ATT is a trend-following bias indicator that combines a baseline EMA with adaptive ATR bands and a momentum override layer.
Core idea:
The EMA defines the baseline trend.
ATR bands above/below the EMA mark zones where volatility is high enough to justify a directional push.
A break above the upper band switches the bias to Long.
A break below the lower band switches the bias to Short.
Strong candle bodies (measured vs. an average body size) can temporarily override the current bias when they close far above/below the EMA (momentum override).
What the indicator does:
Colors the background based on the active bias (Long/Short).
Plots EMA + ATR bands.
Marks strong momentum candles with arrows.
Provides alerts when the bias flips from Long → Short or Short → Long.
Typical use cases:
Trend filter for discretionary entries
Bias layer for strategies or additional indicators
Only trade in the direction of the active bias (e.g., favor Long setups in Long bias, avoid counter-trend scalps)
This is a simplified, free component extracted from my VX toolset (VX-ATT), designed as a clean, plug-and-play trend/bias layer you can combine with your own setups.
XAUUSD Fisher Transform Dashboard — Trend & Momentum InsightsThe script offers an educational visualization of trend and momentum on XAUUSD by combining the Fisher Transform with EMA direction. It plots momentum shifts, trend alignment, and includes a concise dashboard showing trend bias, the latest crossover event, and customizable percentage-based reference markers.
This tool is for market analysis and study purposes only and does not provide trading advice.
