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Elliott Wave Universal PRO ImpulseElliott Wave Universal PRO Impulse
Elliott Wave Universal PRO Impulse is a powerful and versatile Pine Script indicator designed for traders who utilize Elliott Wave theory to analyze market trends and forecast price movements. This indicator automates the plotting of various impulse wave patterns, enabling users to visualize and analyze market structures with precision and ease.
Key Features
Multiple Impulse Patterns: Choose from a wide range of impulse wave patterns, including Classic Impulse, Leading and Ending Diagonals, Extended Waves, Truncated Waves, and more, catering to diverse market scenarios.
Customizable Ratios: Supports Standard, Minimal, and Maximal Fibonacci-based ratios for wave projections, allowing traders to adapt to different market conditions.
Interactive Inputs: Define key points (0 and A) by selecting time and price directly on the chart, ensuring accurate wave construction tailored to your analysis.
Visual Customization: Adjust line styles (Solid/Dotted) and colors for Standard, Minimal, and Maximal patterns to enhance chart clarity and align with your trading preferences.
Overlay Display: Plots wave patterns directly on the price chart with labeled points and color-coded lines, making it easy to interpret wave structures.
How It Works
Select an impulse pattern from the dropdown menu (e.g., "Classic Impulse (5-3-5)", "Extended 3rd Wave Impulse").
Set the starting point (0) and wave 1 endpoint (A) using time and price inputs.
The indicator calculates and plots the subsequent waves (2, 3, 4, and 5) based on Fibonacci ratios and the selected pattern.
Toggle Standard, Minimal, and Maximal projections to visualize potential wave targets with distinct styles and colors.
Use Cases
Trend Analysis: Identify and confirm impulse wave structures to anticipate market trends and reversals.
Trade Planning: Use projected wave targets to set entry, exit, and stop-loss levels.
Risk Management: Assess wave validity and potential failure points (e.g., Truncated or Failed Waves) to refine trading strategies.
Settings
Impulse Pattern: Select from over 30 predefined Elliott Wave patterns.
Build Points: Input time and price for points 0 and A to anchor the wave structure.
Display Options: Enable/disable Standard, Minimal, and Maximal projections.
Style Options: Customize line styles (Solid/Dotted) and colors for each projection type.
Notes
Ensure proper placement of points 0 and A to align with significant market highs/lows for accurate projections.
Best used in conjunction with other technical tools to confirm wave patterns and market signals.
Optimized for all timeframes and asset classes, including stocks, forex, crypto, and commodities.
Elevate your Elliott Wave analysis with Elliott Wave Universal PRO Impulse and gain a deeper understanding of market dynamics!
Complete catalog of Elliott impulse patterns:
Classic Impulse (5-3-5) - Sequential - Классический импульс с последовательной структурой.
Classic Impulse (5-3-5) - Template - Классический импульс с шаблонными пропорциями.
Extended 1st Wave Impulse - Импульс с удлиненной первой волной.
Extended 3rd Wave Impulse - Импульс с удлиненной третьей волной.
Extended 5th Wave Impulse - Импульс с удлиненной пятой волной.
Symmetrical Impulse - Симметричный импульс.
Leading Diagonal (5-3-5-3-5) - Ведущая диагональ с подволнами 5-3-5-3-5.
Leading Diagonal (3-3-3-3-3) - Ведущая диагональ с подволнами 3-3-3-3-3.
Ending Diagonal (3-3-3-3-3) - Завершающая диагональ с подволнами 3-3-3-3-3.
Expanding Diagonal (3-3-3-3-3) - Расширяющаяся диагональ.
Expanding Impulse - Расширяющийся импульс.
Truncated Impulse - Усеченный импульс.
Failed 5th Wave Impulse - Импульс с неудачной пятой волной.
Extended 1st and 3rd Waves Impulse - Импульс с удлиненными первой и третьей волнами.
Running Correction Wave 2 Impulse - Импульс с бегущей коррекцией во второй волне.
Running Correction Wave 4 Impulse - Импульс с бегущей коррекцией в четвертой волне.
Extended 1st and 5th Waves Impulse - Импульс с удлиненными первой и пятой волнами.
Extended 2nd Wave Impulse - Импульс с удлиненной второй волной.
Double Truncated 5th Wave Impulse - Импульс с дважды усеченной пятой волной.
Converging Diagonal - Сходящаяся диагональ.
Running Flat Wave 2 Impulse - Импульс с плоской бегущей коррекцией во второй волне.
Running Flat Wave 4 Impulse - Импульс с плоской бегущей коррекцией в четвертой волне.
Double Extended 1st and 3rd Waves Impulse - Импульс с двойным удлинением первой и третьей волн.
Double Extended 3rd and 5th Waves Impulse - Импульс с двойным удлинением третьей и пятой волн.
Leading Diagonal with Failed 5th Wave - Ведущая диагональ с неудачной пятой волной.
Complex Correction Wave 2 (Double Zigzag) Impulse - Импульс с комплексной коррекцией во второй волне (двойной зигзаг).
Complex Correction Wave 4 (Triangle) Impulse - Импульс с комплексной коррекцией в четвертой волне (треугольник).
Terminal Impulse - Терминальный импульс.
Extended 4th Wave Impulse - Импульс с удлиненной четвертой волной.
Diagonal with Overlap - Диагональ с перекрытием.
Nested Extension Wave 3 Impulse - Импульс с вложенным удлинением третьей волны.
Failed Wave 1 Impulse - Импульс с неудачной первой волной.
Double Running Correction Impulse - Импульс с двойной бегущей коррекцией.
Converging Impulse - Сходящийся импульс.
Expanding Leading Diagonal - Расширяющаяся ведущая диагональ.
Truncated Ending Diagonal - Усеченная завершающая диагональ.
Irregular Wave 2 Impulse - Импульс с нерегулярной второй волной.
Sharp Wave 4 Impulse - Импульс с резкой четвертой волной.
Diagonal Impulse Variant - Вариант диагонального импульса.
Extended Symmetrical Impulse - Удлиненный симметричный импульс.
Sinusoidal Cycles OscillatorTitle: Sinusoidal Cycles Oscillator – Multi-Cycle Market Indicator
Description:
Discover market rhythm with the Sinusoidal Cycles Oscillator, a powerful tool for technical analysis and cyclical trading.
Three customizable cycles track short, medium, and long-term market oscillations.
Cycle 1 serves as the main reference wave with an optional mirror envelope.
Cycles 2 & 3 provide supporting harmonics for deeper insight.
Composite wave averages all cycles to reveal overall market phase.
Features:
Fully adjustable periods and amplitude.
Visualize tops, bottoms, and turning points at a glance.
Oscillator ranges from -1 to +1 with clear threshold guides.
Ideal for traders using cycle analysis, harmonic trading, or market timing.
Easy-to-read visual overlay and separate panel option.
Use it to:
Identify potential price reversals.
Compare market cycles across multiple timeframes.
Enhance timing and entry/exit decisions.
Day Decider- ArpitjainforexThis Setup Helps you identify if the Day is Trending Or Choppy. (Keeps you away from the Screen 20 days a month: As you are aware, there is a 1:4 Ratio between Trending Vs Choppy.
Learn more to use at its best potential
Contact www.arpitjainforex.com
Solar Wave by ninZa.coSolar Wave - trend indicator stands out with many key features to help traders enhance their trading, let's check below:
Plot "Trend Vector" that interprets trend direction (uptrend or downtrend) and trend strength (strong or weak)
Plot "Trailing Stop" for stop trailing management
Allow configuring "Trend Vector" and "Trailing Stop" with ninZaATR adjustment
Print trend steps and highlight step decreases to warn of trend weakness
Colorize bars based on 4 statuses: uptrend strong, uptrend weak, downtrend strong, downtrend weak
Colorize "Trend Vector" based on 4 statuses: uptrend strong, uptrend weak, downtrend strong, downtrend weak
Colorize "Trailing Stop" to clearly show uptrend vs downtrend
Paint background to clearly show uptrend vs downtrend
Trigger alerts on trend start, pullback, strengthening
Print markers on trend start, pullback, strengthening
Be NinjaScript ready for advanced usage, only restricted by your imagination
Expose dedicated NinjaScript signals
4 states of the markets (strong/weak uptrend, strong/weak downtrend) are displayed clearly with various visual signals to help you easily read: bar painting, plot colorization, background highlight.
The best signal of Solar Wave is PULLBACK. As you know, a trend rarely goes straight, but often retraces – which creates great opportunities for pullback trading. In Solar Wave, pullbacks are our recommended signals for entries. From our testing and experiences, the first and second pullbacks are usually the most reliable and optimal entries.
Cosmik Z-TP by ninZa.coWith Cosmik Z-TP - Trading System, you can:
Enter trades confidently with highly reliable signals.
Pinpoint where to place stops and profit targets with ease.
Enjoy high rewards while keeping the risks low in every trade.
Simplify your charts by kicking out 2, 3, or even 10 indicators.
Customize the system to your unique trading approach.
Get started with trading immediately.
Enhance the enjoyment of your daily trading with a user-friendly interface.
Identify the market's direction, spot signal zones, and make timely entry decisions.
Simplified signal mechanism:
During an uptrend, indicated by a green background and blue trailing stop, buy signals emerge within the blue signal zone.
During a downtrend, identified by a red background and pink trailing stop, sell signals emerge within the pink signal zone.
Advanced signal filter: You have the flexibility to control the quantity of signals within a trend phase or a range.
Intellxis Premium InsightUnderstanding the Intellxis - Premium Insight Indicator
This guide provides a way to understand the output of the Premium Insight plugin for TradingView. Its core feature is the "Premium Status" column, which analyzes how an option's premium behaves relative to the underlying asset's price. Use the below guide to decode every status message and leverage this powerful plugin in your trading.
Call Option Statuses
Strong (Spot 🡅): The Call premium is increasing as the underlying asset price rises. This confirms a bullish trend and indicates the option is behaving as expected.
Down (Spot 🡇): The Call premium is decreasing as the underlying asset price falls. This is the normal, expected behavior for a call option in a downtrend.
Down (Spot ⟷): The Call premium is decreasing while the underlying asset price is flat. This erosion of value is due to the passage of time and is an expected behavior.
Weak (Spot 🡅): The Call premium is decreasing slightly even though the underlying asset price is rising. This is an anomaly and suggests weakness in the bullish move.
Flat (Spot 🡅): The Call premium is not changing despite a rise in the underlying asset price. This indicates the premium is not responding to a favorable move, which is a sign of weakness.
Strong (Spot 🡇): The Call premium is increasing even though the underlying asset price is falling. This is a highly counter-intuitive signal and could point to a sharp increase in implied volatility.
MELTDOWN (Spot 🡅): The Call premium is collapsing significantly while the underlying asset price is RISING. This contradicts normal option behavior and may signal an imminent reversal or volatility crush.
MELTDOWN (Spot ⟷): The Call premium is collapsing significantly while the underlying is flat. This suggests a massive drop in implied volatility or other strong selling pressure not related to price direction.
Down Significantly (Spot 🡇): The Call premium is dropping significantly as the underlying spot price is moving down.
Up (Spot ⟷): The Call premium is increasing while the underlying spot price is flat. This is likely due to a sudden increase in volatility.
Flat (Spot ⟷): Normal: The Call premium is flat and the underlying spot price is also flat.
Put Option Statuses
Strong (Spot 🡇): The Put premium is increasing as the underlying asset price falls. This confirms a bearish trend and indicates the option is behaving as expected.
Down (Spot 🡅): The Put premium is decreasing as the underlying asset price rises. This is the normal, expected behavior for a put option in an uptrend.
Down (Spot ⟷): The Put premium is decreasing while the underlying asset price is flat. This erosion of value is due to the passage of time and is an expected behavior.
Weak (Spot 🡇): The Put premium is dropping slightly even though the underlying asset price is falling. This is an anomaly and suggests weakness in the bearish move.
Flat (Spot 🡇): The Put premium is not changing despite a fall in the underlying asset price. This indicates the premium is not responding to a favorable move, which is a sign of weakness.
Strong (Spot 🡅): The Put premium is increasing even though the underlying asset price is rising. This is a highly counter-intuitive signal and could point to a sharp increase in implied volatility.
MELTDOWN (Spot 🡇): The Put premium is collapsing significantly while the underlying asset price is FALLING. This contradicts normal option behavior and may signal an imminent reversal or volatility crush.
MELTDOWN (Spot ⟷): The Put premium is collapsing significantly while the underlying is flat. This suggests a massive drop in implied volatility or other strong selling pressure not related to price direction.
Down Significantly (Spot 🡅): The Put premium is dropping significantly as the underlying spot price is moving up.
Up (Spot ⟷): The Put premium is increasing while the underlying spot price is flat. This is likely due to a sudden increase in volatility.
Flat (Spot ⟷): The Put premium is flat and the underlying spot price is also flat.
Malama's Quantum Swing Modulator# Multi-Indicator Swing Analysis with Probability Scoring
## What Makes This Script Original
This script combines pivot point detection with a **weighted scoring system** that dynamically adjusts indicator weights based on market regime (trending vs. ranging). Unlike standard multi-indicator approaches that use fixed weightings, this implementation uses ADX to detect market conditions and automatically rebalances the influence of RSI, MFI, and price deviation components accordingly.
## Core Methodology
**Dynamic Weight Allocation System:**
- **Trending Markets (ADX > 25):** Prioritizes momentum (50% weight) with reduced oscillator influence (20% each for RSI/MFI)
- **Ranging Markets (ADX < 25):** Emphasizes mean reversion signals (40% each for RSI/MFI) with no momentum bias
- **Price Wave Component:** Uses EMA deviation normalized by ATR to measure distance from central tendency
**Pivot-Based Level Analysis:**
- Detects swing highs/lows using configurable left/right lookback periods
- Maintains the most recent pivot levels as key reference points
- Calculates proximity scores based on current price distance from these levels
**Volume Confirmation Logic:**
- Defines "volume entanglement" when current volume exceeds SMA by user-defined factor
- Integrates volume confirmation into confidence scoring rather than signal generation
## Technical Implementation Details
**Scoring Algorithm:**
The script calculates separate bullish and bearish "superposition" scores using:
```
Bullish Score = (RSI_bull × weight) + (MFI_bull × weight) + (price_wave × weight × position_filter) + (momentum × weight)
```
Where:
- RSI_bull = 100 - RSI (inverted for oversold bias)
- MFI_bull = 100 - MFI (inverted for oversold bias)
- Position_filter = Only applies when price is below EMA for bullish signals
- Momentum component = Only active in trending markets
**Confidence Calculation:**
Base confidence starts at 25% and increases based on:
- Market regime alignment (trending/ranging appropriate conditions)
- Volume confirmation presence
- Oscillator extreme readings (RSI < 30 or > 70 in ranging markets)
- Price position relative to wave function (EMA)
**Probability Output:**
Final probability = (Base Score × 0.6) + (Proximity Score × 0.4)
This balances indicator confluence with proximity to identified levels.
## Key Differentiators
**vs. Standard Multi-Indicator Scripts:** Uses regime-based dynamic weighting instead of fixed combinations
**vs. Simple Pivot Indicators:** Adds quantified probability and confidence scoring to pivot levels
**vs. Basic Oscillator Combinations:** Incorporates market structure analysis through ADX regime detection
## Visual Components
**Wave Function Display:** EMA with ATR-based uncertainty bands for trend context
**Pivot Markers:** Clear visualization of detected swing highs and lows
**Analysis Table:** Real-time probability, confidence, and action recommendations for current pivot levels
## Practical Application
The dynamic weighting system helps avoid common pitfalls of multi-indicator analysis:
- Reduces oscillator noise during strong trends by emphasizing momentum
- Increases mean reversion sensitivity during sideways markets
- Provides quantified probability rather than subjective signal interpretation
## Important Limitations
- Requires sufficient historical data for pivot detection and volume calculations
- Probability scores are based on current market regime and may change as conditions evolve
- The scoring system is designed for confluence analysis, not standalone trading decisions
- Past probability accuracy does not guarantee future performance
## Technical Requirements
- Works on all timeframes but requires adequate lookback history
- Volume data required for entanglement calculations
- Best suited for liquid instruments where volume patterns are meaningful
This approach provides a systematic framework for evaluating swing trading opportunities while acknowledging the probabilistic nature of technical analysis.
HiddenRidder - scalping -3 timeframes RSIsHiddenRidder – Scalping RSI Strategy (3 Timeframes)
This indicator is designed for scalping and short-term trading, using a multi-timeframe RSI setup to align momentum across lower, current, and higher timeframes. It helps traders identify quick entries that follow broader trends, with dynamic visual cues for clarity.
🔍 Key Features
# Multi-Timeframe RSI Analysis:
Automatically selects a lower and higher timeframe relative to the current chart.
---Example: On a 15-minute chart, the lower timeframe might be 5 minutes, and the higher might be 1 hour.
Combines RSI signals from:
---Current chart timeframe
---Lower timeframe (short-term momentum)
--Higher timeframe (trend direction)
# High Timeframe RSI (HTF):
When HTF RSI is above the 50 baseline, it may indicate bullish conditions.
Combined with a 50-period RSI, this adds confirmation to the broader trend.
# Dynamic RSI Crossover Logic:
Buy signal: Current RSI crosses above RSI 50 while both HTF RSI and RSI 50 are above 50.
Sell signal: Current RSI crosses below RSI 50 while both HTF RSI and RSI 50 are below 50.
Dynamic coloring:
--- Green when current RSI crosses above RSI 50
--- Red when current RSI crosses below RSI 50
# Lower Timeframe RSI (LTF):
Displayed in black for directional hints.
Example: On a 5-minute chart, LTF RSI reflects 1-minute momentum.
Above 50 = long bias; below 50 = short bias.
Note: LTF RSI is experimental and not guaranteed.
⚙️ Recommended Usage
Best suited for 3-minute, 5-minute, and 10-minute charts.
Use in combination with price action or volume indicators for enhanced confirmation.
Ideal for traders seeking fast entries aligned with broader momentum.
📌 Disclaimer
This indicator is provided for educational purposes only. It does not constitute financial advice or guarantees of performance. Use at your own discretion and risk.
tenbilthx_Elder Impulse Entry · Auto-IntervalColor rules
EMA rising and MACD-H rising → Green (bullish): shorting prohibited; long or wait allowed.
EMA falling and MACD-H falling → Red (bearish): longs prohibited; short or wait allowed.
If the two disagree → Blue (neutral).
MACD-H rule: ignore the zero line; only check whether the latest bar is higher/lower than the previous bar.
Entry signals (practical tip from the book)
Long: Optimal entry is the first non-RED bar right after a red sequence ends.
Default: plot an arrow on Red → Green transitions.
Option: also allow Red → Blue/Green transitions.
Short: Mirror of Long.
Default: arrow on Green → Red transitions.
Option: also allow Green → Blue/Red transitions.
Usage tips
Defaults match common practice: EMA 13, MACD 12-26-9. Adjust lengths only if needed.
Long signals: Arrow appears on the bar immediately after red ends; with the option on, Red → Blue is also accepted.
Short signals: Symmetric—bar immediately after green ends; option allows Green → Blue.
Alerts: Enable the two alerts to receive real-time signals.
HiddenRidder - 4x - SupertrendHiddenRidder – 4x Supertrend
This indicator builds on the classic Supertrend concept, which is based on the Average True Range (ATR), and enhances it by combining four Supertrend layers to improve signal clarity and trend confirmation. It is designed for swing traders seeking multi-layered confirmation across timeframes.
🔍 Key Features
# 4x Supertrend Overlay:
Uses four Supertrend calculations with varying ATR lengths and multipliers.
Helps filter out noise and identify stronger, more reliable trend signals.
# Moving Averages for Confirmation:
Includes optional overlays of 50 and 200-period MAs .
These provide additional context for trend direction and continuation.
# Timeframe Flexibility:
Works across all timeframes, though optimized for swing trading .
Can be used on lower timeframes (e.g., 5-minute) for short-term setups, though the author prefers longer-term trades.
⚙️ Recommended Usage
Use the alignment of multiple Supertrend signals to confirm trend strength.
Combine with 50/200 MAs to validate direction and reduce false signals.
Ideal for traders who prefer clean, visual setups without excessive clutter.
📌 Disclaimer
This indicator is provided for educational purposes only. It does not constitute financial advice or guarantees of performance. Use at your own discretion and risk.
Auto-Fit Growth Trendline# **Theoretical Algorithmic Principles of the Auto-Fit Growth Trendline (AFGT)**
## **🎯 What Does This Algorithm Do?**
The Auto-Fit Growth Trendline is an advanced technical analysis system that **automates the identification of long-term growth trends** and **projects future price levels** based on historical cyclical patterns.
### **Primary Functionality:**
- **Automatically detects** the most significant lows in regular periods (monthly, quarterly, semi-annually, annually)
- **Constructs a dynamic trendline** that connects these historical lows
- **Projects the trend into the future** with high mathematical precision
- **Generates Fibonacci bands** that act as dynamic support and resistance levels
- **Automatically adapts** to different timeframes and market conditions
### **Strategic Purpose:**
The algorithm is designed to identify **fundamental value zones** where price has historically found support, enabling traders to:
- Identify optimal entry points for long positions
- Establish realistic price targets based on mathematical projections
- Recognize dynamic support and resistance levels
- Anticipate long-term price movements
---
## **🧮 Core Mathematical Foundations**
### **Adaptive Temporal Segmentation Theory**
The algorithm is based on **dynamic temporal partition theory**, where time is divided into mathematically coherent uniform intervals. It uses modular transformations to create bijective mappings between continuous timestamps and discrete periods, ensuring each temporal point belongs uniquely to a specific period.
**What does this achieve?** It allows the algorithm to automatically identify natural market cycles (annual, quarterly, etc.) without manual intervention, adapting to the inherent periodicity of each asset.
The temporal mapping function implements a **discrete affine transformation** that normalizes different frequencies (monthly, quarterly, semi-annual, annual) to a space of unique identifiers, enabling consistent cross-temporal comparative analysis.
---
## **📊 Local Extrema Detection Theory**
### **Multi-Point Retrospective Validation Principle**
Local minima detection is founded on **relative extrema theory with sliding window**. Instead of using a simple minimum finder, it implements a cross-validation system that examines the persistence of the extremum across multiple historical periods.
**What problem does this solve?** It eliminates false minima caused by temporal volatility, identifying only those points that represent true historical support levels with statistical significance.
This approach is based on the **statistical confirmation principle**, where a minimum is only considered valid if it maintains its extremum condition during a defined observation period, significantly reducing false positives caused by transitory volatility.
---
## **🔬 Robust Interpolation Theory with Outlier Control**
### **Contextual Adaptive Interpolation Model**
The mathematical core uses **piecewise linear interpolation with adaptive outlier correction**. The key innovation lies in implementing a **contextual anomaly detector** that identifies not only absolute extreme values, but relative deviations to the local context.
**Why is this important?** Financial markets contain extreme events (crashes, bubbles) that can distort projections. This system identifies and appropriately weights them without completely eliminating them, preserving directional information while attenuating distortions.
### **Implicit Bayesian Smoothing Algorithm**
When an outlier is detected (deviation >300% of local average), the system applies a **simplified Kalman filter** that combines the current observation with a local trend estimation, using a weight factor that preserves directional information while attenuating extreme fluctuations.
---
## **📈 Stabilized Extrapolation Theory**
### **Exponential Growth Model with Dampening**
Extrapolation is based on a **modified exponential growth model with progressive dampening**. It uses multiple historical points to calculate local growth ratios, implements statistical filtering to eliminate outliers, and applies a dampening factor that increases with extrapolation distance.
**What advantage does this offer?** Long-term projections in finance tend to be exponentially unrealistic. This system maintains short-to-medium term accuracy while converging toward realistic long-term projections, avoiding the typical "exponential explosions" of other methods.
### **Asymptotic Convergence Principle**
For long-term projections, the algorithm implements **controlled asymptotic convergence**, where growth ratios gradually converge toward pre-established limits, avoiding unrealistic exponential projections while preserving short-to-medium term accuracy.
---
## **🌟 Dynamic Fibonacci Projection Theory**
### **Continuous Proportional Scaling Model**
Fibonacci bands are constructed through **uniform proportional scaling** of the base curve, where each level represents a linear transformation of the main curve by a constant factor derived from the Fibonacci sequence.
**What is its practical utility?** It provides dynamic resistance and support levels that move with the trend, offering price targets and profit-taking points that automatically adapt to market evolution.
### **Topological Preservation Principle**
The system maintains the **topological properties** of the base curve in all Fibonacci projections, ensuring that spatial and temporal relationships are consistently preserved across all resistance/support levels.
---
## **⚡ Adaptive Computational Optimization**
### **Multi-Scale Resolution Theory**
It implements **automatic multi-resolution analysis** where data granularity is dynamically adjusted according to the analysis timeframe. It uses the **adaptive Nyquist principle** to optimize the signal-to-noise ratio according to the temporal observation scale.
**Why is this necessary?** Different timeframes require different levels of detail. A 1-minute chart needs more granularity than a monthly one. This system automatically optimizes resolution for each case.
### **Adaptive Density Algorithm**
Calculation point density is optimized through **adaptive sampling theory**, where calculation frequency is adjusted according to local trend curvature and analysis timeframe, balancing visual precision with computational efficiency.
---
## **🛡️ Robustness and Fault Tolerance**
### **Graceful Degradation Theory**
The system implements **multi-level graceful degradation**, where under error conditions or insufficient data, the algorithm progressively falls back to simpler but reliable methods, maintaining basic functionality under any condition.
**What does this guarantee?** That the indicator functions consistently even with incomplete data, new symbols with limited history, or extreme market conditions.
### **State Consistency Principle**
It uses **mathematical invariants** to guarantee that the algorithm's internal state remains consistent between executions, implementing consistency checks that validate data structure integrity in each iteration.
---
## **🔍 Key Theoretical Innovations**
### **A. Contextual vs. Absolute Outlier Detection**
It revolutionizes traditional outlier detection by considering not only the absolute magnitude of deviations, but their relative significance within the local context of the time series.
**Practical impact:** It distinguishes between legitimate market movements and technical anomalies, preserving important events like breakouts while filtering noise.
### **B. Extrapolation with Weighted Historical Memory**
It implements a memory system that weights different historical periods according to their relevance for current prediction, creating projections more adaptable to market regime changes.
**Competitive advantage:** It automatically adapts to fundamental changes in asset dynamics without requiring manual recalibration.
### **C. Automatic Multi-Timeframe Adaptation**
It develops an automatic temporal resolution selection system that optimizes signal extraction according to the intrinsic characteristics of the analysis timeframe.
**Result:** A single indicator that functions optimally from 1-minute to monthly charts without manual adjustments.
### **D. Intelligent Asymptotic Convergence**
It introduces the concept of controlled asymptotic convergence in financial extrapolations, where long-term projections converge toward realistic limits based on historical fundamentals.
**Added value:** Mathematically sound long-term projections that avoid the unrealistic extremes typical of other extrapolation methods.
---
## **📊 Complexity and Scalability Theory**
### **Optimized Linear Complexity Model**
The algorithm maintains **linear computational complexity** O(n) in the number of historical data points, guaranteeing scalability for extensive time series analysis without performance degradation.
### **Temporal Locality Principle**
It implements **temporal locality**, where the most expensive operations are concentrated in the most relevant temporal regions (recent periods and near projections), optimizing computational resource usage.
---
## **🎯 Convergence and Stability**
### **Probabilistic Convergence Theory**
The system guarantees **probabilistic convergence** toward the real underlying trend, where projection accuracy increases with the amount of available historical data, following **law of large numbers** principles.
**Practical implication:** The more history an asset has, the more accurate the algorithm's projections will be.
### **Guaranteed Numerical Stability**
It implements **intrinsic numerical stability** through the use of robust floating-point arithmetic and validations that prevent overflow, underflow, and numerical error propagation.
**Result:** Reliable operation even with extreme-priced assets (from satoshis to thousand-dollar stocks).
---
## **💼 Comprehensive Practical Application**
**The algorithm functions as a "financial GPS"** that:
1. **Identifies where we've been** (significant historical lows)
2. **Determines where we are** (current position relative to the trend)
3. **Projects where we're going** (future trend with specific price levels)
4. **Provides alternative routes** (Fibonacci bands as alternative targets)
This theoretical framework represents an innovative synthesis of time series analysis, approximation theory, and computational optimization, specifically designed for long-term financial trend analysis with robust and mathematically grounded projections.
HiddenRidder - RSI Andrew Cardwell - SidewayThis indicator is based on the RSI methodology developed by Andrew Cardwell, with custom adjustments to improve stability and trend clarity across multiple timeframes. It is designed for swing and position traders who prefer clean momentum signals and early trend reversal detection.
🔍 Key Features
# Andrew Cardwell RSI Logic:
In bullish conditions, RSI typically rises above the 50 baseline and touches 60, then remains above 40.
In bearish conditions, RSI drops below 50, touches 40, and fails to recover above 60.
These patterns are used to interpret directional bias and trend strength.
# Modified RSI Behavior:
Includes a 50-period RSI to stabilize readings and reduce noise caused by short-term volatility.
This long-period RSI can be optionally locked to a higher timeframe (e.g., 4H or Daily) depending on the current chart timeframe, improving signal reliability.
# Divergence Detection:
Integrated divergence signals act as early warnings for potential trend reversals.
Useful for identifying exhaustion zones or momentum shifts.
⚙️ Recommended Usage
Optimized for Daily and Weekly charts, but also functional on 1-hour and 15-minute timeframes.
Avoid using on charts below 15 minutes due to increased volatility and reduced signal reliability.
Combine with price action or volume indicators for enhanced confirmation.
💡 Strategy Tip
For bullish setups: RSI crosses above 50, touches 60, and remains above 40.
For bearish setups: RSI drops below 50, touches 40, and fails to recover above 60.
Use the 50-period RSI on a higher timeframe to filter out noise and confirm broader trend direction.
📌 Disclaimer
This indicator is provided for educational purposes only. It does not constitute financial advice or guarantees of performance. Use at your own discretion and risk.
tenbilthx_Elder Impulse EntryColor rules
EMA rising and MACD-H rising → Green (bullish): shorting prohibited; long or wait allowed.
EMA falling and MACD-H falling → Red (bearish): longs prohibited; short or wait allowed.
If the two disagree → Blue (neutral).
MACD-H rule: ignore the zero line; only check whether the latest bar is higher/lower than the previous bar.
Entry signals (practical tip from the book)
Long: Optimal entry is the first non-RED bar right after a red sequence ends.
Default: plot an arrow on Red → Green transitions.
Option: also allow Red → Blue/Green transitions.
Short: Mirror of Long.
Default: arrow on Green → Red transitions.
Option: also allow Green → Blue/Red transitions.
Usage tips
Defaults match common practice: EMA 13, MACD 12-26-9. Adjust lengths only if needed.
Long signals: Arrow appears on the bar immediately after red ends; with the option on, Red → Blue is also accepted.
Short signals: Symmetric—bar immediately after green ends; option allows Green → Blue.
Alerts: Enable the two alerts to receive real-time signals.
Slow Stochastic D-line SignalWhile the standard Slow Stochastic generates signals when its %K- and %D-lines cross, this modified indicator introduces a filter: a signal is only confirmed when the price has shown a consistent upward movement for a predetermined number of periods.
Signal Validation: A signal is generated only when the %K-line crosses above the %D-line, and the price has also consistently increased for a predefined number of periods. This method filters out momentary noise and provides a higher-conviction signal.
tenbilthx_Elder Impulse EntryColoring & Signals (English)
Color rules
EMA rising and MACD-H rising → Green (bullish): shorting prohibited; long or wait allowed.
EMA falling and MACD-H falling → Red (bearish): longs prohibited; short or wait allowed.
If the two disagree → Blue (neutral).
MACD-H rule: ignore the zero line; only check whether the latest bar is higher/lower than the previous bar.
Entry signals (practical tip from the book)
Long: Optimal entry is the first non-RED bar right after a red sequence ends.
Default: plot an arrow on Red → Green transitions.
Option: also allow Red → Blue/Green transitions.
Short: Mirror of Long.
Default: arrow on Green → Red transitions.
Option: also allow Green → Blue/Red transitions.
Usage tips
Defaults match common practice: EMA 13, MACD 12-26-9. Adjust lengths only if needed.
Long signals: Arrow appears on the bar immediately after red ends; with the option on, Red → Blue is also accepted.
Short signals: Symmetric—bar immediately after green ends; option allows Green → Blue.
Alerts: Enable the two alerts to receive real-time signals.
tenbilthx_Elder Impulse EntryColor rules
EMA rising and MACD-H rising → Green (bullish): shorting prohibited; long or wait allowed.
EMA falling and MACD-H falling → Red (bearish): longs prohibited; short or wait allowed.
If the two disagree → Blue (neutral).
MACD-H rule: ignore the zero line; only check whether the latest bar is higher/lower than the previous bar.
Entry signals (practical tip from the book)
Long: Optimal entry is the first non-RED bar right after a red sequence ends.
Default: plot an arrow on Red → Green transitions.
Option: also allow Red → Blue/Green transitions.
Short: Mirror of Long.
Default: arrow on Green → Red transitions.
Option: also allow Green → Blue/Red transitions.
Usage tips
Defaults match common practice: EMA 13, MACD 12-26-9. Adjust lengths only if needed.
Long signals: Arrow appears on the bar immediately after red ends; with the option on, Red → Blue is also accepted.
Short signals: Symmetric—bar immediately after green ends; option allows Green → Blue.
Alerts: Enable the two alerts to receive real-time signals.
Zero Tolerance - NeilsonVWAP Wave system. Perfect for every!!
Helps predict reversals.
Entry point
Exit points
Everything else
ICT Midnight PDH PDLPara marcar rango Midnight to Midnight (NYMO).
También para marcar rangos horarios que tu quieras.
Capiba Directional Momentum Oscillator (ADX-based)
🇬🇧 English
Summary
The Capiba ADX is a momentum oscillator that transforms the classic ADX (Average Directional Index) into a much more intuitive visual tool. Instead of analyzing three separate lines (ADX, DI+, DI-), this indicator consolidates the strength and direction of the trend into a single histogram that oscillates around the zero line.
The result is a clear and immediate reading of market sentiment, allowing traders to quickly identify who is in control—buyers or sellers—and with what intensity.
How to Interpret and Use the Indicator
The operation of the Capiba ADX is straightforward:
Green Histogram (Above Zero): Indicates that buying pressure (DI+) is in control. The height of the bar represents the magnitude of the bullish momentum. Taller green bars suggest a stronger uptrend.
Red Histogram (Below Zero): Indicates that selling pressure (DI-) is in control. The "depth" of the bar represents the magnitude of the bearish momentum. Lower (more negative) red bars suggest a stronger downtrend.
Zero Line (White): This is the equilibrium point. Crossovers through the zero line signal a potential shift in trend control.
Crossover Above: Buyers are taking control.
Crossover Below: Sellers are taking control.
Reference Levels (Momentum Strength)
The indicator plots three fixed reference levels to help gauge the intensity of the move:
0 Line: Equilibrium.
100 Line: Signals significant directional momentum. When the histogram surpasses this level, the trend (whether bullish or bearish) is gaining considerable strength.
200 Line: Signals very strong directional momentum, or even potential exhaustion conditions. Moves that reach this level are powerful but may also precede a consolidation or reversal.
Usage Strategy
Trend Confirmation: Use the indicator to confirm the direction of your analysis. If you are looking for long positions, the Capiba ADX should ideally be green and, preferably, rising.
Strength Identification: Watch for the histogram to cross the 100 and 200 levels to validate the strength of a breakout or an established trend.
Entry/Exit Signals: A zero-line crossover can be used as a primary entry or exit signal, especially when confirmed by other technical analysis tools.
Acknowledgements
This indicator is the result of adapting knowledge and open-source codes shared by the vibrant TradingView community.
Chaos Theory : public release
What is Chaos Theory?
Chaos theory is the study of complex systems that appear random but actually follow deterministic mathematical laws. Discovered by meteorologist Edward Lorenz in the 1960s, it revealed that seemingly chaotic behavior often hides precise mathematical patterns.
Key Concepts:
The Butterfly Effect
The famous principle that tiny changes in initial conditions can lead to vastly different outcomes. In markets, this means a small price movement at a critical juncture can cascade into major trend changes. Named after Lorenz's discovery that a butterfly flapping its wings in Brazil could theoretically cause a tornado in Texas.
Sensitive Dependence on Initial Conditions
Chaotic systems are extremely sensitive to their starting state. While we cannot predict exact long-term outcomes, we can identify probability zones where the system is likely to evolve. This is why weather forecasts work for days, not months - and why our indicator predicts price destinations, not timing.
Strange Attractors
In chaos theory, systems tend to evolve toward certain states called attractors. Price doesn't move randomly - it's drawn toward these mathematical attractors that we identify as probability zones.
Fractals and Self-Similarity
Chaotic systems display similar patterns at different scales. This is why price charts look similar whether viewing 1-minute or daily timeframes - the same mathematical forces operate across all time scales.
Deterministic Chaos
The paradox at the heart of chaos theory: systems that are completely deterministic (following precise mathematical rules) can produce behavior that appears random. Markets aren't random - they're chaotic, which means they're predictable within probability bounds.
Why This Matters for Trading
Traditional technical analysis assumes markets are either random (efficient market hypothesis) or follow simple patterns (support/resistance). Chaos theory reveals a third truth: markets are complex dynamical systems that follow mathematical laws we can model and predict - not with certainty, but with probability.
This is the foundation of our indicator: applying the same mathematics that predicts weather patterns and planetary orbits to identify where price is mathematically likely to travel next.
🌟 Welcome to the World of Chaos Theory
We hope to provide our clients with a program that will define future points to which we believe price will expand to, based on a given probability % of one event occurring rather than another. In this case, the other event = price not expanding to our predicted area and reaching an invalidation state. This entire theory and the work done assumes that price behaves like a complex dynamical system that is highly sensitive to initial conditions.
🔮 Predictive vs. Reactive Systems
Pay special attention to the language used. Our belief is that we can provide you a tool that is predictive, not reactive - the latter of which falls into the class of descriptive systems. Although the term of price action study is referred to as time-series forecasting, most if not all of the works done under this umbrella do not forecast anything. They only describe the current or recent past state of affairs using averages, volume, volatility, and other concepts.
📊 Understanding Probability-Based Prediction
A predictive system conjured from the world of chaos theory is not a final solution to the mystery of price. In reality, we only can give you probabilities of where price may end up - this would be a point in space, not time, which we believe would be more likely than another, depending on the analysis of the initial conditions.
To make the point of the last paragraph crystal clear: while we can tell you, with respect to the probabilities, where price will end up in terms of a price point, we don't know WHEN. That is another part of the mystery that perhaps only clairvoyance can hope to uncover.
📈 Performance Statistics
For the question of what the probabilities are, meaning the success of the follow through of price, the answer is given in a stats panel, which measures the success of promises made by the indicator - that price would reach a certain point before being invalidated by moving too far in the opposing direction. It's not helpful to advertise or make false claims, therefore one should take advantage that we offer a free version, and using a pre-defined lookback window, confirm the probability calculations and determine the follow through rate with respect to the specific symbol and timeframe that the user decides to use.
⚠️ What This Is Not
What this is not → Descriptive. We have zero interest in describing what price is doing. In fact, the entire industry of price forecasting is dedicated to this task, therefore you can rest assured that any coincidence with an RSI or any type of moving average etc. is simply that - coincidence. We do not use any known pre-made indicators or formulas.
It has been our belief that price has an underlying mathematical pattern that can be predicted within probability bounds. If you read that carefully, we are predicting the pattern, not looking to find and describe some sort of underlying structure.
🧩 Understanding Market Complexity
It should be understood that price is a complex system, even if our initial assessment of the conditions are correct. We have to remember that price is a fractal structure - there are always different initial conditions clashing, as well as forming. This is without taking into account the manipulation of the system, as well as external intervention in the natural progression of the system by news or other significant events.
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📋 To Summarize:
🔬 1. Chaos Theory Application to Markets
- Novel Concept: Treating price as a chaotic particle rather than random movement
- What This Means: Chaotic systems have underlying mathematical patterns that can be predicted within probability bounds
- Your Benefit: Access to predictive mathematics previously used only in physics and meteorology
🧮 2. Complex Systems Mathematics
- Novel Concept: Applying non-linear dynamical systems theory to financial markets
- What This Means: Markets behave like complex adaptive systems with emergent properties
- Your Benefit: Understanding market behavior at a fundamental mathematical level
🎯 3. Probability Field Mapping
- Novel Concept: Creating mathematical probability fields for future price locations
- What This Means: Each zone represents a calculated probability destination, not arbitrary support/resistance
- Your Benefit: Trade toward mathematically-derived targets instead of guessing
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💡 Why This is Fundamentally Different from All Other Indicators
📉 Traditional Indicators:
- Use historical price data to create lagging signals
- Based on statistical averages and linear mathematics
- Assume markets are random or follow simple patterns
- React to what already happened
🚀 This Chaos Theory Approach:
- Uses mathematical modeling to predict future probability zones
- Based on non-linear complex systems mathematics
- Treats markets as chaotic but predictable systems
- Proactively identifies where price is likely to go
No Curve Fitting: Unlike indicators optimized for specific timeframes or instruments, chaos theory principles are universal mathematical laws that apply consistently across all markets.
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🎁 Concrete Benefits You Receive
💫 1. Predictive Intelligence
- Know probable price destinations before they're reached
- Eliminate guesswork in setting profit targets
- Make informed decisions about trade direction
🎯 2. Mathematical Precision
- Every zone placement has mathematical justification
- No subjective interpretation required
- Consistent application across all market conditions
🌍 3. Universal Market Application
- Works identically on forex, stocks, crypto, commodities
- No need to adjust parameters for different instruments
- Mathematical principles transcend market types
🏆 4. Professional-Grade Analysis
- Access to institutional-level mathematical modeling
- Same complexity as quantitative hedge fund systems
- Simplified visual output for practical trading
✅ 5. Real-Time Performance Validation
- Built-in statistics track actual prediction accuracy
- Transparent performance measurement
- Data-driven confidence in signal quality
🛡️ 6. Risk Management Precision
- Mathematically-defined probable targets of desired and undesired price locations
- Systematic approach eliminates emotional decisions
⏱️ 7. Multi-Timeframe Consistency
- Zones maintain mathematical validity across timeframes
- Higher timeframe bias with lower timeframe precision
- Coherent analysis from scalping to position trading
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🌟 Novel Trading Advantages
Probability-Based Targeting: Instead of hoping price reaches your target, you're trading toward mathematically-calculated probability zones.
Chaos Pattern Recognition: Probability-based predictions of the underlying chaotic patterns that govern price movement gives you an edge other traders don't possess.
Dynamic Adaptation: Unlike static indicators, this system continuously recalculates based on evolving market mathematics.
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🔄 Why This Represents a Trading Evolution
From Reactive to Predictive: Traditional analysis tells you what happened. Chaos theory mathematics tells you what's likely to happen.
From Subjective to Objective: No more debating support and resistance levels. Mathematics determines probable price destinations.
From Curve-Fitted to Universal: Based on fundamental mathematical principles that work consistently across all markets and timeframes.
From Emotional to Systematic: Clear mathematical signals eliminate the psychological challenges that destroy most traders.
This indicator doesn't just give you another way to analyze markets - it gives you access to an entirely different mathematical framework for understanding price behavior. You're not getting a variation of existing concepts; you're getting a completely novel approach based on advanced mathematical principles that treat markets as the complex systems they actually are.
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📚 How to Use the Indicator
🎨 Zone Mechanics
• Orange Zones: Target areas for price expansion
• Activation Trigger: Price must close outside any zone (full candle body, not just wicks)
• Primary Rule: Price travels to the next zone before closing back behind the originating zone border
🔴 Understanding the Red Dots
• Red dots on chart: Represent areas where we had valid zone sets available for trading
• Empty spaces indicate: Areas where price closed past the highest/lowest zone or where zone invalidation occurred
• Important note: We cannot always identify zones. Simply wait or switch timeframe/symbol
EMA Sunset WavesThis script displays a set of Exponential Moving Averages (EMAs) (20, 50, 100, and 200) with a clean and immersive design:
Lines automatically change color based on trend direction (uptrend or downtrend).
Dynamic fill zones highlight whether the price is trading above or below each EMA.
Full color customization (bullish/bearish lines, fill zones, transparency).
Adjustable line thickness for better chart readability.
🎨 The idea is to make trend reading visual, intuitive, and aesthetic at first glance.
⚙️ Configurable settings:
EMA lengths (default 20/50/100/200).
Colors for bullish and bearish EMAs.
Fill colors (above/below price).
Transparency and line thickness.
Elliott Wave Advanced Auto [CongTrader]🧾 INDICATOR DESCRIPTION
📌 Indicator: Elliott Wave Advanced Auto
Elliott Wave Advanced Auto is a professional automatic wave detection tool designed by CongTrader. It helps traders analyze market structure using Elliott Wave Theory, including:
📈 Automatic detection of impulsive waves (1-2-3-4-5)
🔷 Identification of triangle correction patterns (ABCDE)
⚠️ Detection of ending diagonal formations
🔮 Forecasting potential Wave 5 extension based on Fibonacci ratio
📊 Visually connecting waves with clean and clear lines
This indicator brings Elliott Wave analysis closer to all traders — whether beginner or advanced.
💡 How to Use It:
Add the indicator to your chart on TradingView.
Adjust Pivot Length to control the sensitivity of pivot detection.
Watch for wave labels (1 to 5 or A to E) appearing automatically on swing highs/lows.
Use signals to make trading decisions:
Wave 3 is often the strongest → possible entry point.
Wave 5 forecast gives a projected exit zone.
Ending Diagonal and Triangles warn of upcoming reversals.
Combine with other indicators (e.g., RSI, volume, support/resistance) for confirmation.
🎯 Features:
Automatic Elliott Wave labeling (1–5 / ABCDE)
Supports both bullish and bearish structures
Auto-line drawing between pivot points
Triangle pattern recognition (ABCDE)
Ending Diagonal pattern detection
Wave 5 forecast using 0.618 Fibonacci projection
Minimalist and clean layout, non-intrusive design
🙏 Credits & Thank You:
This indicator was developed by @CongTrader, a trader passionate about price action and algorithmic trading tools.
I hope this tool helps you improve your market timing and confidence in Elliott Wave analysis.
👉 If you find it helpful, don’t forget to leave a ⭐ or a kind comment to support!
⚠️ Disclaimer:
This script is for educational purposes only and does not constitute financial advice.
Use it with discretion and always validate with other tools.
You are responsible for your own trades. The author is not liable for any financial loss.#ElliottWave #WaveAnalysis #TechnicalAnalysis
#TradingViewScript #AutoElliott #WaveDetector
#TradingStrategy #PriceAction #CongTrader
#ImpulseWaves #Fibonacci #ForexTools
#CryptoTrading #StockTrading #WaveForecast
