Top & Bottom Finder XL# Top & Bottom Finder XL
## User's Guide
---
# Overview
**Top & Bottom Finder XL** is a market exhaustion indicator.
Its purpose is **not** to predict every swing high and swing low.
Instead, it attempts to identify **high-probability exhaustion points** where price has become statistically extended and has a greater chance of reversing.
Unlike traditional pivot indicators, this indicator combines several independent filters:
* Structural pivots
* Momentum (RSI)
* Trend extension
* Volume
* Range expansion
Only when the selected filters agree does the indicator produce a **Confirmed Top** or **Confirmed Bottom**.
---
# How the Indicator Works
Every signal goes through the following process:
### Step 1 — Find a Pivot
The indicator first looks for a legitimate swing high or swing low using PulseWire's pivot algorithm.
A pivot is not confirmed until the required number of right bars has completed.
Example:
Left = 100
Right = 5
means:
* current high must be higher than the previous 100 bars
* and remain the highest point for the next 5 bars
Only then is it officially a pivot.
---
### Step 2 — Apply RSI Filter (Optional)
Purpose:
Avoid taking pivots that occur without momentum extremes.
A top requires
RSI ≥ Top Threshold
A bottom requires
RSI ≤ Bottom Threshold
Default:
Top = 65
Bottom = 35
Disabling this filter means RSI is ignored completely.
---
### Step 3 — Apply Trend Extension Filter (Optional)
Purpose:
Avoid taking pivots that are too close to the trend.
The indicator measures:
Distance from EMA
using ATR.
Formula:
Distance =
Price − EMA
divided by ATR
Example
EMA = 100
ATR = 2
Price = 110
Distance =
10 ÷ 2
= 5 ATR
If Minimum ATR Extension = 5
the signal passes.
Otherwise it is rejected.
This filter is extremely effective at removing mediocre signals.
---
### Step 4 — Confirmation Filter
This determines whether the pivot occurred with unusually strong participation.
There are four modes.
## Off
No confirmation required.
Every pivot that passes the other filters becomes confirmed.
Produces the most signals.
---
## Volume Only
The pivot bar must have
Volume >
Average Volume × Multiplier
Default
50-bar average
Multiplier = 2
---
## Range Only
The pivot candle must have
Range >
Average Range × Multiplier
This looks for unusually large candles.
---
## Volume + Range
The strictest mode.
Requires BOTH:
* high volume
* large candle
Produces the fewest signals.
Usually the highest quality.
---
# Timeframe Settings
## Calculation Timeframe
Allows calculations on another timeframe.
Example
Chart = 15 minute
Calculation = 1 hour
Signals are calculated from hourly data but displayed on the 15-minute chart.
Leave blank to use the current chart timeframe.
---
# Pivot Settings
## Pivot Bars Left
Controls how significant the pivot must be.
Small values
More signals
Less significant
Large values
Fewer signals
More important turning points
Default
100
---
## Pivot Bars Right
Controls confirmation delay.
Larger values
Later signals
Higher confidence
Smaller values
Earlier signals
More false signals
Default
5
---
# Signal Filters
## Use RSI Filter
Enable or disable RSI completely.
---
## RSI Length
Default
14
Controls how RSI is calculated.
---
## Top RSI Threshold
Minimum RSI required for tops.
Default
65
Higher values
Fewer signals
---
## Bottom RSI Threshold
Maximum RSI allowed for bottoms.
Default
35
Lower values
Fewer signals
---
## Use Trend EMA Filter
Turns EMA distance filtering on or off.
---
## Trend EMA Length
Default
200
Long-term trend reference.
---
## ATR Length
Default
14
Used to normalize volatility.
---
## Minimum ATR Extension
Default
5 ATR
Controls how far price must stretch away from the EMA.
Higher values
Only extreme exhaustion
Lower values
More frequent signals
---
## Confirmation Mode
Options:
* Off
* Volume Only
* Range Only
* Volume + Range
Determines final confirmation.
---
## Volume / Range Average Length
Default
50
Average period used for volume and range comparisons.
---
## Volume Multiplier
Default
2
Required increase above average volume.
Example
Average volume = 100,000
Multiplier = 2
Required volume
200,000
---
## Range Expansion Multiplier
Default
0.5
Required increase above average candle range.
Higher values
Require larger candles.
---
# Display Settings
## Show Trend EMA
Displays the EMA used for trend extension.
Useful for visualizing how stretched price became.
---
## Show Watch Signals
Displays every confirmed pivot before filtering.
Watch signals represent:
"Potential reversal areas."
Confirmed signals represent:
"Filtered, higher-probability reversal areas."
---
## Color Settings
Customize:
* Watch Tops
* Watch Bottoms
* Confirmed Tops
* Confirmed Bottoms
* EMA
---
# Label Controls
These options determine what information appears inside Confirmed labels.
---
## Show Price
Displays pivot price.
Example
Price
145.32
---
## Show Pivot Settings
Displays
Left / Right
Example
100 / 5
Useful when comparing settings.
---
## Show RSI
Displays RSI at the pivot.
Example
RSI
72.5
---
## Show Volume
Displays pivot volume.
Useful when Volume confirmation is enabled.
---
## Show ATR
Displays ATR at the pivot.
Important:
This is **not** the distance from the EMA.
It simply displays the market's volatility (ATR) at the time the pivot formed.
Higher ATR means a more volatile market.
Lower ATR means a quieter market.
---
## Show EMA Distance
Displays
Distance from EMA
measured in ATRs.
Example
EMA Dist
5.82 ATR
This is arguably the most useful statistic on the label because it quantifies how extended price was when the reversal occurred.
---
## Show Confirmation Type
Displays how the confirmation filter was satisfied.
Possible values:
* Volume
* Range
* Volume + Range
* None
---
# Alerts
The indicator includes four alerts:
### Confirmed Top Found
Generated when a filtered top is confirmed.
---
### Confirmed Bottom Found
Generated when a filtered bottom is confirmed.
---
### Top Watch
Generated for every structural pivot high before filtering.
---
### Bottom Watch
Generated for every structural pivot low before filtering.
---
# Understanding Signal Timing
This is important.
The indicator **does not repaint**, but it is intentionally delayed by the **Pivot Bars Right** setting.
Example:
Right Bars = 5
A top occurring today will only be confirmed after five additional bars have closed without a higher high.
This is necessary because the indicator waits for confirmation that the pivot is truly established.
---
# Suggested Starting Settings
## Swing Trading (Daily)
* Left Bars: 100
* Right Bars: 5
* RSI: On
* EMA Filter: On
* Minimum ATR Extension: 5
* Confirmation: Volume Only
---
## Position Trading (Weekly)
* Left Bars: 150–250
* Right Bars: 5–10
* ATR Extension: 6–8
* Confirmation: Volume + Range
---
## Short-Term Trading (15–60 Minute)
* Left Bars: 30–60
* Right Bars: 3–5
* ATR Extension: 3–4
* Confirmation: Volume Only
---
# Strengths
* Adapts to market volatility using ATR.
* Filters out many insignificant pivots.
* Uses multiple independent confirmation methods.
* Supports higher-timeframe calculations on lower-timeframe charts.
* Does not repaint after pivot confirmation.
* Highly configurable for different trading styles.
---
# Current Limitations
* Signals are intentionally delayed by the selected Right Bars value.
* The indicator identifies **exhaustion points**, not trend direction.
* Strong trends can continue after a confirmed top or bottom, especially during momentum-driven markets.
* Volume confirmation may be less reliable for markets where reported volume is limited or synthetic (such as many forex CFDs).
---
# Best Use Practices
The indicator performs best when used to identify **areas of elevated reversal probability**, not as a standalone buy or sell trigger. Higher-quality setups occur when a confirmed signal aligns with higher-timeframe support or resistance, trendline breaks, divergence, or other independent forms of technical confirmation. Treat confirmed tops and bottoms as locations to focus attention rather than automatic entry points.
Indicator
Automatic Support & Resistance1. Overview
This is an automatic Support and Resistance (S/R) level detector for PulseWire. It identifies significant price pivots (peaks and troughs) based on user-defined settings and plots up to 8 dynamic levels on your chart.
The script is intended for educational and informational purposes to demonstrate automatic S/R detection using pivot points and to help traders identify potential areas of interest.
2. Key Logic & Features
A. Pivot Detection
The script detects price pivots (local highs and lows) using ta.pivothigh() and ta.pivotlow().
Two detection speeds:
Regular Pivots: Use the Right Bars setting to define the confirmation period.
Quick Pivots: Use the Quick Right setting for more sensitive, faster-moving levels.
Source Selection: Choose between using Close price or High/Low values for detection.
B. Level Hierarchy
The script plots eight levels, organized as:
Resistance Levels (Red/Green): Levels 1, 3, 5, 7 (top 4 lines).
Support Levels (Red/Green): Levels 2, 4, 6, 8 (bottom 4 lines).
C. Visual Customization (NEW)
Line Styles: Independently set the style for Resistance and Support lines:
Solid (default for both)
Dotted (uses plot.style_circles)
Dashed (uses plot.style_stepline)
Color Logic: Each level dynamically changes color:
Green: Current close price is above the level (bullish context).
Red: Current close price is below the level (bearish context).
D. Additional Features
show_last=1: Only the most recent segment of each level is shown, keeping the chart clean.
trackprice=true: Extends the line horizontally to the right edge of the chart for easy reference.
3. User Inputs (Customization)
Input Description Default
Left Bars Number of bars to the left of a pivot. 50
Right Bars Number of bars to the right of a pivot (confirmation). 25
Quick Right Faster confirmation period for quick pivots. 5
Source Use Close or High/Low for pivot detection. Close
Resistance Line Style Style for top (resistance) levels. Solid
Support Line Style Style for bottom (support) levels. Solid
4. How to Use
Add the script to any chart.
Adjust Pivot Sensitivity:
Increase Left Bars and Right Bars for longer-term, stronger S/R levels.
Decrease them for more, shorter-term levels.
Use Quick Right to add a more sensitive, faster-responding layer.
Interpret the Levels:
Resistance (top lines): Price may face selling pressure when approaching these levels from below.
Support (bottom lines): Price may find buying pressure when approaching these levels from above.
Green level: Price is currently trading above that level (potentially acting as support).
Red level: Price is currently trading below that level (potentially acting as resistance).
Combine with other tools: Use this as one component of a complete trading strategy, alongside trend indicators, candlestick patterns, or volume analysis.
5. Compliance & Transparency
No Financial Advice: This script is strictly for educational and informational purposes. It does not provide financial advice, trading recommendations, or guaranteed results. All trading decisions are your own responsibility.
Original Work: The code is the original work of the author, based on standard Pine Script pivot functions (ta.pivothigh, ta.pivotlow). It is published under the Mozilla Public License 2.0.
No Guarantee: The accuracy, reliability, or profitability of the detected S/R levels is not guaranteed. Different market conditions may require different parameter adjustments.
6. Technical Notes & Limitations
Version: Converted to Pine Script v6 for optimal performance and future compatibility.
Repainting: Pivot-based levels are non-repainting by nature (ta.pivothigh/low only confirms after the right bars have passed). However, the dynamic coloring reacts to each new bar's close.
Performance: The script is lightweight and runs efficiently on most charts.
7. Credits & Open Source
This script is published under the Mozilla Public License 2.0. You are free to use, modify, and share this code for non-commercial purposes, provided you retain the original license and attribution. No private keys, external dependencies, or hidden functions are included. Indicator
Custom FractalsThis indicator detects custom bullish and bearish fractal formations by identifying confirmed swing highs and swing lows based on user-defined candle structure. A bearish fractal forms when a candle’s high is greater than the surrounding candles, while a bullish fractal forms when a candle’s low is lower than the surrounding candles. Optional RSI confirmation can be applied to filter signals so that bearish fractals only appear in overbought conditions and bullish fractals only appear in oversold conditions. The script can also draw horizontal pivot levels from each confirmed fractal to help visualize potential support and resistance zones.
“Bars Before” controls how many candles to the left of the pivot must confirm the fractal structure, while “Bars After” determines how many candles to the right are required before the signal becomes confirmed. Larger settings create stronger but less frequent fractals, while smaller settings react faster and generate more signals. “Non-Repaint Signals” waits for candle close confirmation before plotting signals to reduce repaint behavior during live market conditions. “Draw Horizontal Pivot Lines” displays support and resistance lines extending from confirmed fractals.
“Limit to Recent Signals Only” restricts how many historical fractals remain visible on the chart, while “Recent Signal Count” defines the maximum number of stored signals and pivot lines. “Use RSI Confirmation” enables momentum filtering using the Relative Strength Index. “RSI Length” controls the RSI calculation period, “RSI Source” selects the price source used for RSI calculations, and the “RSI Overbought” and “RSI Oversold” levels determine where RSI confirmation is required for bearish and bullish fractals.
The pivot line settings allow full customization of the horizontal structure levels. “Pivot Line Length” controls how far the level extends into future candles, while the color, width, and style settings customize the appearance of bullish and bearish pivot zones.
This tool is designed for traders who want to identify potential reversal zones, short-term exhaustion points, and key support or resistance levels using price structure and optional momentum confirmation. Indicator
Structural Sequence Pressure [JOAT]Structural Sequence Pressure
Introduction
Structural Sequence Pressure is a market-structure breakout indicator built around the idea that not all pivot levels carry the same weight. A level formed after one isolated pivot is ordinary. A level formed after repeated higher lows or lower highs represents structural persistence. This script quantifies that persistence, plots the resulting support and resistance levels, and highlights when those levels break.
The indicator is designed for traders who want clean structure without overfitting. It tracks sequence depth, manages active levels, and focuses attention on breaks that matter more because the market spent time constructing them.
Why This Indicator Exists
Sequence-Based Structure: Measures how many pivots formed in the same directional progression
Level Significance Filter: Helps distinguish weak levels from structurally reinforced ones
Live Break Detection: Signals when meaningful support or resistance gives way
Clutter Control: Caps active lines and labels to keep charts readable
Statistical Feedback: Shows the most recent sequence pressure behavior directly in the dashboard
Core Components Explained
1. Confirmed Pivot Detection
pivHigh = ta.pivothigh(high, leftBars, rightBars)
pivLow = ta.pivotlow(low, leftBars, rightBars)
The script only reacts to confirmed pivots. This means levels are built from validated swing points rather than from intrabar noise, which keeps the tool stable and non-repainting after pivot confirmation.
2. Upward and Downward Sequence Counting
When a new pivot low forms higher than the previous pivot low, the upward sequence count increases. When a new pivot high forms lower than the previous pivot high, the downward sequence count increases. If the relationship fails, the sequence resets to one.
Higher lows: Build upward structural pressure
Lower highs: Build downward structural pressure
Longer sequences: Represent stronger structural continuity
3. Active Level Engine
Every confirmed pivot creates a horizontal level that extends right. Support levels come from pivot lows. Resistance levels come from pivot highs. Each level stores:
Its price
Whether it is support or resistance
Its sequence depth
Its creation time
Levels are trimmed by age and capped by quantity so the chart stays clean.
4. Break Logic
brokeSupport = close < supportLevel
brokeResistance = close > resistanceLevel
Only levels with sequence depth greater than or equal to the selected threshold can trigger signals. This creates a cleaner breakout map that emphasizes structurally meaningful failures and expansions.
5. Chart Hygiene Controls
The script stores and prunes pivot labels so they do not accumulate indefinitely. Broken or expired levels are removed from active management, and broken levels can optionally be deleted immediately for a cleaner chart.
Visual Elements
Support Lines: Teal dashed levels extending from higher-low pivots
Resistance Lines: Red dashed levels extending from lower-high pivots
Pivot Labels: Compact U/D sequence tags showing progression depth
Break Markers: Triangles on bullish resistance breaks and bearish support breaks
Dashboard: Up sequence, down sequence, total breaks, last break depths, and active level count
Input Parameters
Pivot Left / Right Bars: Confirmation strength for structural swings
Minimum Sequence: Required sequence depth before a break can trigger
Max Active Levels: Hard cap for line management and chart cleanliness
Max Level Age: Removes stale structure from consideration
Delete Broken Levels: Optional cleanup for a more minimal chart
How to Use This Indicator
Step 1: Identify whether the market is building higher lows or lower highs.
Step 2: Focus on levels with deeper sequence counts.
Step 3: Treat bullish signals as upside breaks of resistance sequences.
Step 4: Treat bearish signals as downside breaks of support sequences.
Step 5: Use the level count and recent break depths to judge whether structure is compressing or resolving.
Best Practices
Use larger pivot settings on volatile instruments to reduce noise
Increase minimum sequence length when markets are choppy
Pair with trend or participation tools to separate continuation from exhaustion
Respect old levels less than fresh ones unless they were built with deep sequence pressure
Use the dashboard to calibrate structure sensitivity instrument by instrument
Indicator Limitations
Pivot-based tools confirm after the fact by design
Sequence strength measures persistence, not certainty
Very low pivot settings can create too many structural levels
Very high pivot settings can delay signals
Breakouts can still fail, especially in range-bound conditions
Technical Implementation
Built in Pine Script v6 using:
Confirmed pivot detection
Directional sequence counting
Array-managed line storage
Label retention caps for chart cleanliness
Age-based level cleanup
Non-repainting break logic on confirmed bars
Originality Statement
This indicator is original in its focus on sequence depth as the source of structural weighting. Many support and resistance tools draw levels; this one grades their importance by the persistence of the swing process that created them, then filters breakout logic through that structural pressure.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Structural breaks can fail, reverse, or whipsaw. Always use independent analysis, stops, and appropriate risk management.
-Made with passion by officialjackofalltrades
Indicator
Market Pivot LevelsTired of automated support and resistance indicators that clutter your chart with dozens of overlapping, noisy lines?
The Market Pivot Levels indicator is designed to map core market structure exactly like a professional technician would—cleanly, precisely, and without the noise. Instead of drawing a line at every single minor fluctuation, this script uses advanced filtering logic to identify true structural zones and spaces them out beautifully across your chart.
Key Features:
ATR Proximity Filter (No Clutter): Standard pivot scripts often stack lines on top of each other during consolidation. This script uses an Average True Range (ATR) proximity filter. If a new pivot forms too close to an existing major level, it ignores it, ensuring your chart only displays distinct, well-spaced tradeable zones.
Psychological Price Snapping: Human traders don't draw lines at random decimals like $196.19—they look for clean, psychological numbers. This script automatically takes the exact wick of a structural swing and snaps it to the nearest whole dollar (e.g., $196.00), mimicking a human hand.
Flush Right-Aligned Labels: Forget hovering over lines to see their value. Custom price tags are dynamically magnetized to the far right of your screen, sitting perfectly flush with your standard price axis for immediate readability.
Stealth UI: We believe in clean charts and clean interfaces. All underlying parameters (lookbacks, ATR multipliers, line thickness) are hardcoded and hidden from the settings menu to keep your PulseWire UI completely minimalist. It is strictly plug-and-play.
How it Works Under the Hood:
By default, the script looks for highly granular micro-swings (1-bar lookback), but relies on the 1.0 ATR distance multiplier to filter out the noise. The result is a highly responsive, custom price grid that adapts to the specific volatility of whatever ticker you are trading. It keeps a maximum of 20 active levels on the screen, automatically cleaning up old, irrelevant zones as new price action develops.
How to Use It:
Simply drop it onto any chart timeframe. Use the automatically generated yellow zones for breakout entries, strict stop-loss placements, or profit targets during extended trends. Indicator
Pivot Levels [BigBeluga]🔵 OVERVIEW
The Pivot Levels indicator automatically detects and draws key market pivot levels across multiple sensitivity settings. Each pivot level represents a significant local high or low in price structure, acting as potential zones of support and resistance. Traders can visualize short-, medium-, and long-term pivot layers simultaneously, helping to identify where price may react, reverse, or break out.
🔵 CONCEPTS
Different pivot lengths provide multi-length sensitivity on the same timeframe — shorter lengths detect local micro-swings, while longer lengths capture broader swing structure within the current chart.
ATR-based color logic marks active, bullish, or bearish pivot zones dynamically.
Lines can extend to the right or both sides to track reactions over time.
🔵 FEATURES
Detects up to four custom pivot levels simultaneously.
Each pivot level has independent settings for length , style , and extension mode .
Auto-colors each pivot as support (green), resistance (orange), or active zone (blue).
Displays dual-width line layers: a solid base and a transparent overlay for visual depth.
Dynamic price labels show exact pivot levels for clarity.
Fully customizable line styles: dashed (--), solid (-), or dotted (..).
Extends lines to the right for future reaction tracking or both directions for structure alignment.
🔵 HOW TO USE
Enable or disable pivot levels (1–4) to control how many layers of structure you want visible.
Use shorter pivot lengths for intraday turning points and longer ones for macro structure.
Watch for multiple pivot lines clustering in the same region — these often mark strong reversal zones.
Observe color changes: green = support, orange = resistance, blue = active neutral zone.
Combine with price action or volume analysis to confirm reactions near major pivots.
🔵 CONCLUSION
The Pivot Levels indicator provides a clean, multi-layered visualization of market structure.
By tracking pivots of varying lengths, traders can easily identify overlapping support and resistance regions, gauge breakout strength, and align trades with the dominant structural zones visible across multiple time horizons.
Indicator
Trend Pivots Profile [BigBeluga]🔵 OVERVIEW
The Trend Pivots Profile is a dynamic volume profile tool that builds profiles around pivot points to reveal where liquidity accumulates during trend shifts. When the market is in an uptrend , the indicator generates profiles at low pivots . In a downtrend , it builds them at high pivots . Each profile is constructed using lower timeframe volume data for higher resolution, making it highly precise even in limited space. A colored trendline helps traders instantly recognize the prevailing trend and anticipate which type of profile (bullish or bearish) will form.
🔵 CONCEPTS
Pivot-Driven Profiles : Profiles are only created when a new pivot forms, aligning liquidity analysis with market structure shifts.
Trend-Contextual : Profiles form at low pivots in uptrends and at high pivots in downtrends.
Lower Timeframe Data : Volume and close values are pulled from smaller timeframes to provide detailed, high-resolution profiles inside larger pivot windows.
Adaptive Bin Sizing : Bin size is automatically calculated relative to ATR, ensuring consistent precision across different markets and volatility conditions.
Point of Control (PoC) : The highest-volume level within each profile is marked with a PoC line that extends until the next pivot forms.
Trendline Visualization : A wide, semi-transparent line follows the rolling average of highs and lows, colored blue in uptrends and orange in downtrends.
🔵 FEATURES
Pivot Length Control : Adjust how far back the script looks to detect pivots (e.g., length 5 → profiles cover 10 bars after pivot).
Pivot Profile toggle :
On → draw the filled pivot profile + PoC + pivot label.
Off → hide profiles; show only PoC level (clean S/R mode).
Trend Length Filter : Smooths trendline detection to ensure reliable up/down bias.
Precise Volume Distribution : Volume is aggregated into bins, creating a smooth volume curve around the pivot range.
PoC Extension : Automatically extends the most active price level until a new pivot is confirmed.
Profile Visualization : Profiles appear as filled shapes anchored at the pivot candle, colored based on trend.
Trendline Overlay : Thick, semi-transparent trendline provides visual guidance on directional bias.
Automatic Cleanup : Old profiles are deleted once they exceed the chart’s capacity (default 25 stored profiles).
🔵 HOW TO USE
Spotting Trend Liquidity : In an uptrend, monitor profiles at low pivots to see where buyers concentrated. In downtrends, use high-pivot profiles to spot sell-side pressure.
Watch the PoC : The PoC line highlights the strongest traded level of the pivot structure—expect reactions when price retests it.
Anticipate Trend Continuation/Reversal : Use the trendline (blue = bullish, orange = bearish) together with pivot profiles to forecast directional momentum.
Combine with HTF Context : Overlay with higher timeframe structure (order blocks, liquidity zones, or FVGs) for confluence.
Fine-Tune with Inputs : Adjust Pivot Length for sensitivity and Trend Length for smoother or faster trend shifts.
🔵 CONCLUSION
The Trend Pivots Profile blends pivot-based structure with precise volume profiling. By dynamically plotting profiles on pivots aligned with the prevailing trend, highlighting PoCs, and overlaying a directional trendline, it equips traders with a clear view of liquidity clusters and directional momentum—ideal for anticipating reactions, pullbacks, or breakouts. Indicator
Indicator
Smart MTF S/R Levels[BullByte]
Smart MTF S/R Levels
Introduction & Motivation
Support and Resistance (S/R) levels are the backbone of technical analysis. However, most traders face two major challenges:
Manual S/R Marking: Drawing S/R levels by hand is time-consuming, subjective, and often inconsistent.
Multi-Timeframe Blind Spots: Key S/R levels from higher or lower timeframes are often missed, leading to surprise reversals or missed opportunities.
Smart MTF S/R Levels was created to solve these problems. It is a fully automated, multi-timeframe, multi-method S/R detection and visualization tool, designed to give traders a complete, objective, and actionable view of the market’s most important price zones.
What Makes This Indicator Unique?
Multi-Timeframe Analysis: Simultaneously analyzes up to three user-selected timeframes, ensuring you never miss a critical S/R level from any timeframe.
Multi-Method Confluence: Integrates several respected S/R detection methods—Swings, Pivots, Fibonacci, Order Blocks, and Volume Profile—into a single, unified system.
Zone Clustering: Automatically merges nearby levels into “zones” to reduce clutter and highlight areas of true market consensus.
Confluence Scoring: Each zone is scored by the number of methods and timeframes in agreement, helping you instantly spot the most significant S/R areas.
Reaction Counting: Tracks how many times price has recently interacted with each zone, providing a real-world measure of its importance.
Customizable Dashboard: A real-time, on-chart table summarizes all key S/R zones, their origins, confluence, and proximity to price.
Smart Alerts: Get notified when price approaches high-confluence zones, so you never miss a critical trading opportunity.
Why Should a Trader Use This?
Objectivity: Removes subjectivity from S/R analysis by using algorithmic detection and clustering.
Efficiency: Saves hours of manual charting and reduces analysis fatigue.
Comprehensiveness: Ensures you are always aware of the most relevant S/R zones, regardless of your trading timeframe.
Actionability: The dashboard and alerts make it easy to act on the most important levels, improving trade timing and risk management.
Adaptability: Works for all asset classes (stocks, forex, crypto, futures) and all trading styles (scalping, swing, position).
The Gap This Indicator Fills
Most S/R indicators focus on a single method or timeframe, leading to incomplete analysis. Manual S/R marking is error-prone and inconsistent. This indicator fills the gap by:
Automating S/R detection across multiple timeframes and methods
Objectively scoring and ranking zones by confluence and reaction
Presenting all this information in a clear, actionable dashboard
How Does It Work? (Technical Logic)
1. Level Detection
For each selected timeframe, the script detects S/R levels using:
SW (Swing High/Low): Recent price pivots where reversals occurred.
Pivot: Classic floor trader pivots (P, S1, R1).
Fib (Fibonacci): Key retracement levels (0.236, 0.382, 0.5, 0.618, 0.786) over the last 50 bars.
Bull OB / Bear OB: Institutional price zones based on bullish/bearish engulfing patterns.
VWAP / POC: Volume Weighted Average Price and Point of Control over the last 50 bars.
2. Level Clustering
Levels within a user-defined % distance are merged into a single “zone.”
Each zone records which methods and timeframes contributed to it.
3. Confluence & Reaction Scoring
Confluence: The number of unique methods/timeframes in agreement for a zone.
Reactions: The number of times price has touched or reversed at the zone in the recent past (user-defined lookback).
4. Filtering & Sorting
Only zones within a user-defined % of the current price are shown (to focus on actionable areas).
Zones can be sorted by confluence, reaction count, or proximity to price.
5. Visualization
Zones: Shaded boxes on the chart (green for support, red for resistance, blue for mixed).
Lines: Mark the exact level of each zone.
Labels: Show level, methods by timeframe (e.g., 15m (3 SW), 30m (1 VWAP)), and (if applicable) Fibonacci ratios.
Dashboard Table: Lists all nearby zones with full details.
6. Alerts
Optional alerts trigger when price approaches a zone with confluence above a user-set threshold.
Inputs & Customization (Explained for All Users)
Show Timeframe 1/2/3: Enable/disable analysis for each timeframe (e.g., 15m, 30m, 1h).
Show Swings/Pivots/Fibonacci/Order Blocks/Volume Profile: Select which S/R methods to include.
Show levels within X% of price: Only display zones near the current price (default: 3%).
How many swing highs/lows to show: Number of recent swings to include (default: 3).
Cluster levels within X%: Merge levels close together into a single zone (default: 0.25%).
Show Top N Zones: Limit the number of zones displayed (default: 8).
Bars to check for reactions: How far back to count price reactions (default: 100).
Sort Zones By: Choose how to rank zones in the dashboard (Confluence, Reactions, Distance).
Alert if Confluence >=: Set the minimum confluence score for alerts (default: 3).
Zone Box Width/Line Length/Label Offset: Control the appearance of zones and labels.
Dashboard Size/Location: Customize the dashboard table.
How to Read the Output
Shaded Boxes: Represent S/R zones. The color indicates type (green = support, red = resistance, blue = mixed).
Lines: Mark the precise level of each zone.
Labels: Show the level, methods by timeframe (e.g., 15m (3 SW), 30m (1 VWAP)), and (if applicable) Fibonacci ratios.
Dashboard Table: Columns include:
Level: Price of the zone
Methods (by TF): Which S/R methods and how many, per timeframe (see abbreviation key below)
Type: Support, Resistance, or Mixed
Confl.: Confluence score (higher = more significant)
React.: Number of recent price reactions
Dist %: Distance from current price (in %)
Abbreviations Used
SW = Swing High/Low (recent price pivots where reversals occurred)
Fib = Fibonacci Level (key retracement levels such as 0.236, 0.382, 0.5, 0.618, 0.786)
VWAP = Volume Weighted Average Price (price level weighted by volume)
POC = Point of Control (price level with the highest traded volume)
Bull OB = Bullish Order Block (institutional support zone from bullish price action)
Bear OB = Bearish Order Block (institutional resistance zone from bearish price action)
Pivot = Pivot Point (classic floor trader pivots: P, S1, R1)
These abbreviations appear in the dashboard and chart labels for clarity.
Example: How to Read the Dashboard and Labels (from the chart above)
Suppose you are trading BTCUSDT on a 15-minute chart. The dashboard at the top right shows several S/R zones, each with a breakdown of which timeframes and methods contributed to their detection:
Resistance zone at 119257.11:
The dashboard shows:
5m (1 SW), 15m (2 SW), 1h (3 SW)
This means the level 119257.11 was identified as a resistance zone by one swing high (SW) on the 5-minute timeframe, two swing highs on the 15-minute timeframe, and three swing highs on the 1-hour timeframe. The confluence score is 6 (total number of method/timeframe hits), and there has been 1 recent price reaction at this level. This suggests 119257.11 is a strong resistance zone, confirmed by multiple swing highs across all selected timeframes.
Mixed zone at 118767.97:
The dashboard shows:
5m (2 SW), 15m (2 SW)
This means the level 118767.97 was identified by two swing points on both the 5-minute and 15-minute timeframes. The confluence score is 4, and there have been 19 recent price reactions at this level, indicating it is a highly reactive zone.
Support zone at 117411.35:
The dashboard shows:
5m (2 SW), 1h (2 SW)
This means the level 117411.35 was identified as a support zone by two swing lows on the 5-minute timeframe and two swing lows on the 1-hour timeframe. The confluence score is 4, and there have been 2 recent price reactions at this level.
Mixed zone at 118291.45:
The dashboard shows:
15m (1 SW, 1 VWAP), 5m (1 VWAP), 1h (1 VWAP)
This means the level 118291.45 was identified by a swing and VWAP on the 15-minute timeframe, and by VWAP on both the 5-minute and 1-hour timeframes. The confluence score is 4, and there have been 12 recent price reactions at this level.
Support zone at 117103.10:
The dashboard shows:
15m (1 SW), 1h (1 SW)
This means the level 117103.10 was identified by a single swing low on both the 15-minute and 1-hour timeframes. The confluence score is 2, and there have been no recent price reactions at this level.
Resistance zone at 117899.33:
The dashboard shows:
5m (1 SW)
This means the level 117899.33 was identified by a single swing high on the 5-minute timeframe. The confluence score is 1, and there have been no recent price reactions at this level.
How to use this:
Zones with higher confluence (more methods and timeframes in agreement) and more recent reactions are generally more significant. For example, the resistance at 119257.11 is much stronger than the resistance at 117899.33, and the mixed zone at 118767.97 has shown the most recent price reactions, making it a key area to watch for potential reversals or breakouts.
Tip:
“SW” stands for Swing High/Low, and “VWAP” stands for Volume Weighted Average Price.
The format 15m (2 SW) means two swing points were detected on the 15-minute timeframe.
Best Practices & Recommendations
Use with Other Tools: This indicator is most powerful when combined with your own price action analysis and risk management.
Adjust Settings: Experiment with timeframes, clustering, and methods to suit your trading style and the asset’s volatility.
Watch for High Confluence: Zones with higher confluence and more reactions are generally more significant.
Limitations
No Future Prediction: The indicator does not predict future price movement; it highlights areas where price is statistically more likely to react.
Not a Standalone System: Should be used as part of a broader trading plan.
Historical Data: Reaction counts are based on historical price action and may not always repeat.
Disclaimer
This indicator is a technical analysis tool and does not constitute financial advice or a recommendation to buy or sell any asset. Trading involves risk, and past performance is not indicative of future results. Always use proper risk management and consult a financial advisor if needed.
Indicator
StatPivot- Dynamic Range Analyzer - indicator [PresentTrading]Hello everyone! In the following few open scripts, I would like to share various statistical tools that benefit trading. For this time, it is a powerful indicator called StatPivot- Dynamic Range Analyzer that brings a whole new dimension to your technical analysis toolkit.
This tool goes beyond traditional pivot point analysis by providing comprehensive statistical insights about price movements, helping you identify high-probability trading opportunities based on historical data patterns rather than subjective interpretations. Whether you're a day trader, swing trader, or position trader, StatPivot's real-time percentile rankings give you a statistical edge in understanding exactly where current price action stands within historical contexts.
Welcome to share your opinions! Looking forward to sharing the next tool soon!
█ Introduction and How it is Different
StatPivot is an advanced technical analysis tool that revolutionizes retracement analysis. Unlike traditional pivot indicators that only show static support/resistance levels, StatPivot delivers dynamic statistical insights based on historical pivot patterns.
Its key innovation is real-time percentile calculation - while conventional tools require new pivot formations before updating (often too late for trading decisions), StatPivot continuously analyzes where current price stands within historical retracement distributions.
Furthermore, StatPivot provides comprehensive statistical metrics including mean, median, standard deviation, and percentile distributions of price movements, giving traders a probabilistic edge by revealing which price levels represent statistically significant zones for potential reversals or continuations. By transforming raw price data into statistical insights, StatPivot helps traders move beyond subjective price analysis to evidence-based decision making.
█ Strategy, How it Works: Detailed Explanation
🔶 Pivot Point Detection and Analysis
The core of StatPivot's functionality begins with identifying significant pivot points in the price structure. Using the parameters left and right, the indicator locates pivot highs and lows by examining a specified number of bars to the left and right of each potential pivot point:
Copyp_low = ta.pivotlow(low, left, right)
p_high = ta.pivothigh(high, left, right)
For a point to qualify as a pivot low, it must have left higher lows to its left and right higher lows to its right. Similarly, a pivot high must have left lower highs to its left and right lower highs to its right. This approach ensures that only significant turning points are recognized.
🔶 Percentage Change Calculation
Once pivot points are identified, StatPivot calculates the percentage changes between consecutive pivot points:
For drops (when a pivot low is lower than the previous pivot low):
CopydropPercent = (previous_pivot_low - current_pivot_low) / previous_pivot_low * 100
For rises (when a pivot high is higher than the previous pivot high):
CopyrisePercent = (current_pivot_high - previous_pivot_high) / previous_pivot_high * 100
These calculations quantify the magnitude of each market swing, allowing for statistical analysis of historical price movements.
🔶 Statistical Distribution Analysis
StatPivot computes comprehensive statistics on the historical distribution of drops and rises:
Average (Mean): The arithmetic mean of all recorded percentage changes
CopyavgDrop = array.avg(dropValues)
Median: The middle value when all percentage changes are arranged in order
CopymedianDrop = array.median(dropValues)
Standard Deviation: Measures the dispersion of percentage changes from the average
CopystdDevDrop = array.stdev(dropValues)
Percentiles (25th, 75th): Values below which 25% and 75% of observations fall
Copyq1 = array.get(sorted, math.floor(cnt * 0.25))
q3 = array.get(sorted, math.floor(cnt * 0.75))
VaR95: The maximum expected percentage drop with 95% confidence
Copyvar95D = array.get(sortedD, math.floor(nD * 0.95))
Coefficient of Variation (CV): Measures relative variability
CopycvD = stdDevDrop / avgDrop
These statistics provide a comprehensive view of market behavior, enabling traders to understand the typical ranges and extreme moves.
🔶 Real-time Percentile Ranking
StatPivot's most innovative feature is its real-time percentile calculation. For each current price, it calculates:
The percentage drop from the latest pivot high:
CopycurrentDropPct = (latestPivotHigh - close) / latestPivotHigh * 100
The percentage rise from the latest pivot low:
CopycurrentRisePct = (close - latestPivotLow) / latestPivotLow * 100
The percentile ranks of these values within the historical distribution:
CopyrealtimeDropRank = (count of historical drops <= currentDropPct) / total drops * 100
This calculation reveals exactly where the current price movement stands in relation to all historical movements, providing crucial context for decision-making.
🔶 Cluster Analysis
To identify the most common retracement zones, StatPivot performs a cluster analysis by dividing the range of historical drops into five equal intervals:
CopyrangeSize = maxVal - minVal
For each interval boundary:
Copyboundaries = minVal + rangeSize * i / 5
By counting the number of observations in each interval, the indicator identifies the most frequently occurring retracement zones, which often serve as significant support or resistance areas.
🔶 Expected Price Targets
Using the statistical data, StatPivot calculates expected price targets:
CopytargetBuyPrice = close * (1 - avgDrop / 100)
targetSellPrice = close * (1 + avgRise / 100)
These targets represent statistically probable price levels for potential entries and exits based on the average historical behavior of the market.
█ Trade Direction
StatPivot functions as an analytical tool rather than a direct trading signal generator, providing statistical insights that can be applied to various trading strategies. However, the data it generates can be interpreted for different trade directions:
For Long Trades:
Entry considerations: Look for price drops that reach the 70-80th percentile range in the historical distribution, suggesting a statistically significant retracement
Target setting: Use the Expected Sell price or consider the average rise percentage as a reasonable target
Risk management: Set stop losses below recent pivot lows or at a distance related to the statistical volatility (standard deviation)
For Short Trades:
Entry considerations: Look for price rises that reach the 70-80th percentile range, indicating an unusual extension
Target setting: Use the Expected Buy price or average drop percentage as a target
Risk management: Set stop losses above recent pivot highs or based on statistical measures of volatility
For Range Trading:
Use the most common drop and rise clusters to identify probable reversal zones
Trade bounces between these statistically significant levels
For Trend Following:
Confirm trend strength by analyzing consecutive higher pivot lows (uptrend) or lower pivot highs (downtrend)
Use lower percentile retracements (20-30th percentile) as entry opportunities in established trends
█ Usage
StatPivot offers multiple ways to integrate its statistical insights into your trading workflow:
Statistical Table Analysis: Review the comprehensive statistics displayed in the data table to understand the market's behavior. Pay particular attention to:
Average drop and rise percentages to set reasonable expectations
Standard deviation to gauge volatility
VaR95 for risk assessment
Real-time Percentile Monitoring: Watch the real-time percentile display to see where the current price movement stands within the historical distribution. This can help identify:
Extreme movements (90th+ percentile) that might indicate reversal opportunities
Typical retracements (40-60th percentile) that might continue further
Shallow pullbacks (10-30th percentile) that might represent continuation opportunities in trends
Support and Resistance Identification: Utilize the plotted pivot points as key support and resistance levels, especially when they align with statistically significant percentile ranges.
Target Price Setting: Use the expected buy and sell prices calculated from historical averages as initial targets for your trades.
Risk Management: Apply the statistical measurements like standard deviation and VaR95 to set appropriate stop loss levels that account for the market's historical volatility.
Pattern Recognition: Over time, learn to recognize when certain percentile levels consistently lead to reversals or continuations in your specific market, and develop personalized strategies based on these observations.
█ Default Settings
The default settings of StatPivot have been carefully calibrated to provide reliable statistical analysis across a variety of markets and timeframes, but understanding their effects allows for optimal customization:
Left Bars (30) and Right Bars (30): These parameters determine how pivot points are identified. With both set to 30 by default:
A pivot low must be the lowest point among 30 bars to its left and 30 bars to its right
A pivot high must be the highest point among 30 bars to its left and 30 bars to its right
Effect on performance: Larger values create fewer but more significant pivot points, reducing noise but potentially missing important market structures. Smaller values generate more pivot points, capturing more nuanced movements but potentially including noise.
Table Position (Top Right): Determines where the statistical data table appears on the chart.
Effect on performance: No impact on analytical performance, purely a visual preference.
Show Distribution Histogram (False): Controls whether the distribution histogram of drop percentages is displayed.
Effect on performance: Enabling this provides visual insight into the distribution of retracements but can clutter the chart.
Show Real-time Percentile (True): Toggles the display of real-time percentile rankings.
Effect on performance: A critical setting that enables the dynamic analysis of current price movements. Disabling this removes one of the key advantages of the indicator.
Real-time Percentile Display Mode (Label): Chooses between label display or indicator line for percentile rankings.
Effect on performance: Labels provide precise information at the current price point, while indicator lines show the evolution of percentile rankings over time.
Advanced Considerations for Settings Optimization:
Timeframe Adjustment: Higher timeframes generally benefit from larger Left/Right values to identify truly significant pivots, while lower timeframes may require smaller values to capture shorter-term swings.
Volatility-Based Tuning: In highly volatile markets, consider increasing the Left/Right values to filter out noise. In less volatile conditions, lower values can help identify more potential entry and exit points.
Market-Specific Optimization: Different markets (forex, stocks, commodities) display different retracement patterns. Monitor the statistics table to see if your market typically shows larger or smaller retracements than the current settings are optimized for.
Trading Style Alignment: Adjust the settings to match your trading timeframe. Day traders might prefer settings that identify shorter-term pivots (smaller Left/Right values), while swing traders benefit from more significant pivots (larger Left/Right values).
By understanding how these settings affect the analysis and customizing them to your specific market and trading style, you can maximize the effectiveness of StatPivot as a powerful statistical tool for identifying high-probability trading opportunities. Indicator
Indicator
Divergence Indicator Multi [TradingFinder] MACD AO RSI DIV Chart🔵 Introduction
🟣 What is Divergence in Financial Markets?
Divergence in technical analysis happens when the price of a stock moves in a direction opposite to certain indicators. This is a crucial concept in financial markets as it can signal either a trend reversal or a continuation of the current correction in the trend. Understanding divergence helps traders and analysts make more informed decisions.
🟣 Positive Regular Divergence (RD+)
A positive regular divergence occurs at the end of a downtrend, where two price lows form. This divergence appears when the price chart shows a new low, but the indicator does not follow, signaling potential buying opportunities.
Positive divergence indicates increased buying pressure and reduced selling pressure, making it a useful signal for forecasting price increases.
🟣 Negative Regular Divergence (RD-)
A negative regular divergence is seen during an uptrend when two price highs form. The price chart records a new high, but the indicator does not reflect this change, suggesting that a market downturn is likely.
This type of divergence shows strong selling pressure and weaker buying activity, which can help identify selling opportunities.
Both positive and negative divergences are powerful tools for identifying potential trend reversals and key support and resistance levels. For example, when an indicator trends upward while the price moves downward, this creates divergence, warning traders to reconsider their investment strategy.
🟣 Different Types of Divergence in Trading
1. Regular Divergence :
o Positive Regular Divergence (RD+)
o Negative Regular Divergence (RD-)
2. Hidden Divergence :
o Positive Hidden Divergence (HD+)
o Negative Hidden Divergence (HD-)
3.Time Divergence.
Note : This guide focuses specifically on Regular Divergence.
🟣 What is Regular Divergence?
Regular Divergence, often referred to as convergence, occurs when price action and indicators show conflicting patterns, usually signaling the end of a trend. Detecting regular divergence helps traders anticipate potential trend reversals or the formation of reversal patterns.
🔵 How to Use
To optimize the detection of divergence, you can adjust the Fractal Period to specify the length of time for identifying divergence patterns.
Additionally, with the Divergence Detection Method, you can select oscillators like the MACD, RSI, or AO to base divergence detection on.
Divergence in MACD :
MACD divergence occurs when the price chart forms an opposite pattern compared to the MACD line, indicating a potential price reversal.
Divergence in RSI :
In a downtrend, if the price chart forms two consecutive lows with the second lower than the first, but the RSI shows two lows with the second higher, this indicates positive regular divergence, which is a buy signal.
On the other hand, during an uptrend, if the price forms two highs with the second higher than the first, but the RSI shows the second high lower, this points to negative regular divergence, indicating a sell signal.
Divergence in AO (Awesome Oscillator) :
The AO indicator calculates histograms using the difference between 5-period and 34-period simple moving averages. It compares peaks and troughs of these histograms with price movements, detecting divergence and plotting lines and arrows to signal divergence.
🔵 Table
The following table breaks down the main features of the oscillator. It covers four critical categories: Exist, Consecutive, Divergence Quality, and Change Phase Indicator.
Exist : If divergence is detected, a "+" will appear in this row.
Consecutive: Shows the number of consecutive divergences that have formed in a short period.
Divergence Quality : Evaluates the quality of the divergence based on the number of occurrences. One is labeled "Normal," two are "Good," and three or more are considered "Strong."
Change Phase Indicator : If a phase change is detected between two oscillation peaks, this is marked in the table. Indicator
Pivot Data [QuantVue]The Pivot Data Indicator is designed to provide traders with valuable insights by identifying and analyzing pivot points on the price chart. It calculates both pivot highs and lows, then presents detailed statistics on the distance and time between these pivots.
a pivot point is defined as a specific point on the chart where the price either reaches a high or a low, with no bars higher or lower than it for a set number of bars on both sides (left and right). Essentially, it's a local high or low point, with the market moving in the opposite direction after the pivot forms.
For example:
A pivot high occurs when there are no bars with higher prices for a specified number of bars before and after that point.
A pivot low occurs when there are no bars with lower prices for the same number of bars on either side.
The number of bars to the left and right is adjustable via the Pivot Lookback Bars setting, allowing you to define how many bars are used to determine these pivot points.
Key features include:
Pivot Highs and Lows Identification: Automatically marks significant pivot highs and lows based on a user-defined lookback period, helping traders identify potential trend reversals or continuation points.
Prediction Labels: Provides forecasted pivot levels based on historical pivot price and time patterns, with options to show predictions for pivot highs, lows, or any pivot point.
Customizable Table Display: Displays a table summarizing important statistics, such as the average price percentage and the number of bars between pivots, along with the distance and time from the most recent pivot.
Traders can use this tool to map out potential levels of support and resistance based on historical data on pivot points. Indicator
Pivot Points Level [TradingFinder] 4 Methods + Reversal lines🔵 Introduction
"Pivot Points" are places on the price chart where buyers and sellers are most active. Pivot points are calculated based on the previous day's price data and serve as reference points for traders to make decisions.
Types of Pivot Points :
Floor
Woodie
Camarilla
Fibonacci
🟣 Floor Pivot Points
Floor pivot points are widely used in technical analysis. The central pivot point (PP) serves as the main level of support or resistance, indicating the potential direction of the trend.
The first to third levels of resistance (R1, R2, R3) and support (S1, S2, S3) provide additional signals for potential trend reversals or continuations.
Floor Pivot Points Formula :
Pivot Point (PP): (H + L + C) / 3
First Resistance (R1): (2 * P) - L
Second Resistance (R2): P + H - L
Third Resistance (R3): H + 2 * (P - L)
First Support (S1): (2 * P) - H
Second Support (S2): P - H + L
Third Support (S3): L - 2 * (H - P)
🟣 Camarilla Pivot Points
Camarilla pivot points include eight levels that closely align with support and resistance. These points are particularly useful for setting stop-loss and profit targets.
Camarilla Pivot Points Formula :
Fourth Resistance (R4): (H - L) * 1.1 / 2 + C
Third Resistance (R3): (H - L) * 1.1 / 4 + C
Second Resistance (R2): (H - L) * 1.1 / 6 + C
First Resistance (R1): (H - L) * 1.1 / 12 + C
First Support (S1): C - (H - L) * 1.1 / 12
Second Support (S2): C - (H - L) * 1.1 / 6
Third Support (S3): C - (H - L) * 1.1 / 4
Fourth Support (S4): C - (H - L) * 1.1 / 2
🟣 Woodie Pivot Points
Woodie pivot points are similar to floor pivot points but place more emphasis on the closing price. This method often results in different pivot levels than the floor method.
Woodie Pivot Points Formula :
Pivot Point (PP): (H + L + 2 * C) / 4
First Resistance (R1): (2 * P) - L
Second Resistance (R2): P + H - L
First Support (S1): (2 * P) - H
Second Support (S2): P - H + L
🟣 Fibonacci Pivot Points
Fibonacci pivot points use the standard floor pivot points and then apply Fibonacci retracement levels to the range of the previous trading period. The common retracement levels used are 38.2%, 61.8%, and 100%.
Fibonacci Pivot Points Formula :
Pivot Point (PP): (H + L + C) / 3
Third Resistance (R3): PP + ((H - L) * 1.000)
Second Resistance (R2): PP + ((H - L) * 0.618)
First Resistance (R1): PP + ((H - L) * 0.382)
First Support (S1): PP - ((H - L) * 0.382)
Second Support (S2): PP - ((H - L) * 0.618)
Third Support (S3): PP - ((H - L) * 1.000)
These pivot point calculations help traders identify potential support and resistance levels, enabling more informed decision-making in their trading strategies.
🔵 How to Use
🟣 Two Methods for Trading Pivot Points
There are two primary methods for trading pivot points: trading with "pivot point breakouts" and trading with "price reversals."
🟣 Pivot Point Breakout
A breakout through pivot lines provides a significant signal to the trader, indicating a change in market sentiment. When an upward breakout occurs and the price crosses these lines, a trader can enter a long position and place their stop-loss below the pivot point (P).
Similarly, if a downward breakout happens, a short order can be placed below the pivot point.
When trading with pivot point breakouts, if the upward trend breaks, the first and second support levels can be the trader's profit targets. In a downward trend, the first and second resistance levels will serve this role.
🟣 Price Reversal
Another method for trading pivot points is waiting for the price to reverse from the support and resistance levels. To execute this strategy, one should trade in the opposite direction of the trend as the price reverses from the pivot point.
It's worth noting that although traders use this tool in higher time frames, it yields better results in shorter time frames such as one-hour, 30-minute, and 15-minute intervals.
Indicator
Pivot Point Calculator [JP&Dia]English User Guide
Script Name: Pivot Point Calculator
What Does This Script Do? This script calculates classic and Camarilla pivot points used in financial markets. Pivot points are used to identify key support and resistance levels, and this script helps traders better understand market movements.
How to Use It?
Add the script to your charts on PulseWire.
Enter your desired time frame in the “Enter Time Frame” field (e.g., M, W, D).
Choose either or both “Classic Pivot” and “Camarilla Pivot” options to display them.
The script will automatically calculate the pivot points and display them on the chart.
Why Is This Script Unique? This script combines both classic and Camarilla pivot calculations, allowing users to easily utilize both pivot styles through a single script.
How Can People Benefit? Traders can use this script to identify potential buy-sell points and market trends. They can also conduct their market analyses more efficiently and effectively.
Script Adı: Pivot Noktası Hesaplayıcı
Script Ne İşe Yarar? Bu script, finansal piyasalarda kullanılan klasik ve Camarilla pivot noktalarını hesaplar. Pivot noktaları, önemli destek ve direnç seviyelerini belirlemek için kullanılır ve bu script, yatırımcıların piyasa hareketlerini daha iyi anlamalarına yardımcı olur.
Nasıl Kullanılır?
Scripti PulseWire’deki grafiklerinize ekleyin.
“Zaman Dilimi Girin” alanına istediğiniz zaman dilimini girin (Örneğin: M, W, D).
“Classic Pivot” ve “Camarilla Pivot” seçeneklerinden birini veya her ikisini de seçerek gösterilmesini sağlayabilirsiniz.
Script otomatik olarak pivot noktalarını hesaplayacak ve grafik üzerinde gösterecektir.
Neden Özgü Bir Script? Bu script, hem klasik hem de Camarilla pivot hesaplamalarını birleştirir ve kullanıcıların her iki pivot stilini de tek bir script üzerinden kolayca kullanmalarını sağlar.
İnsanlar Nasıl Faydalanabilir? Yatırımcılar, bu scripti kullanarak potansiyel alım-satım noktalarını ve piyasa trendlerini belirleyebilirler. Ayrıca, piyasa analizlerini daha verimli ve etkili bir şekilde yapabilirler. Indicator
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