Money NoodleMoney Noodle Indicator - How It Works
The Money Noodle indicator is a trend-following and support/resistance tool that combines multiple exponential moving averages (EMAs) with dynamic volatility-based bands to create a comprehensive trading system.
Core Components
1. Triple EMA System ("The Noodles")
Fast EMA (12): Most responsive to price changes, shows short-term momentum
Medium EMA (21): Intermediate trend direction
Slow EMA (35): Main trend line that acts as the central reference point
The "noodle" effect comes from how these three EMAs weave around each other and the price action, creating curved, flowing lines that resemble noodles.
2. Dynamic Volatility Bands
Upper Band: Main EMA + (ATR ร Band Multiplier)
Lower Band: Main EMA - (ATR ร Band Multiplier)
Uses a 20-period ATR (Average True Range) to measure market volatility
Band width automatically adjusts - wider during volatile periods, tighter during consolidation
How It Functions
Trend Identification:
When all three EMAs are aligned (fast > medium > slow), it indicates a strong uptrend
When EMAs are inverted (fast < medium < slow), it signals a downtrend
EMA crossovers provide early trend change signals
Support & Resistance:
The bands act as dynamic support and resistance levels
Price tends to bounce off the bands during trending markets
Band breaks often signal strong momentum moves or trend changes
Volatility Assessment:
Band width indicates market volatility - wider bands = higher volatility
ATR-based calculation makes the bands adaptive to current market conditions
The 0.0125 multiplier provides optimal sensitivity for most timeframes
Trading Applications
Entry Signals:
Buy when price bounces off the lower band with EMA alignment
Sell when price bounces off the upper band against the trend
Breakout trades when price decisively breaks through bands
Trend Following:
Use the main EMA (35) as your trend filter
Trade in the direction of EMA alignment
The "noodles" help identify trend strength - tighter = stronger trend
Risk Management:
Bands provide natural stop-loss levels
Band width helps size positions (wider bands = smaller size due to higher volatility)
The indicator works best on daily timeframes and provides a visual, intuitive way to read market structure, trend direction, and volatility all in one tool.
Cari skrip untuk "support resistance"
Grothendieck-Teichmรผller Geometric SynthesisDskyz's Grothendieck-Teichmรผller Geometric Synthesis (GTGS)
THEORETICAL FOUNDATION: A SYMPHONY OF GEOMETRIES
The ๐ GTGS is built upon a revolutionary premise: that market dynamics can be modeled as geometric and topological structures. While not a literal academic implementationโsuch a task would demand computational power far beyond current trading platformsโit leverages core ideas from advanced mathematical theories as powerful analogies and frameworks for its algorithms. Each component translates an abstract concept into a practical market calculation, distinguishing GTGS by identifying deeper structural patterns rather than relying on standard statistical measures.
1. Grothendieck-Teichmรผller Theory: Deforming Market Structure
The Theory : Studies symmetries and deformations of geometric objects, focusing on the "absolute" structure of mathematical spaces.
Indicator Analogy : The calculate_grothendieck_field function models price action as a "deformation" from its immediate state. Using the nth root of price ratios (math.pow(price_ratio, 1.0/prime)), it measures market "shape" stretching or compression, revealing underlying tensions and potential shifts.
2. Topos Theory & Sheaf Cohomology: From Local to Global Patterns
The Theory : A framework for assembling local properties into a global picture, with cohomology measuring "obstructions" to consistency.
Indicator Analogy : The calculate_topos_coherence function uses sine waves (math.sin) to represent local price "sections." Summing these yields a "cohomology" value, quantifying price action consistency. High values indicate coherent trends; low values signal conflict and uncertainty.
3. Tropical Geometry: Simplifying Complexity
The Theory : Transforms complex multiplicative problems into simpler, additive, piecewise-linear ones using min(a, b) for addition and a + b for multiplication.
Indicator Analogy : The calculate_tropical_metric function applies tropical_add(a, b) => math.min(a, b) to identify the "lowest energy" state among recent price points, pinpointing critical support levels non-linearly.
4. Motivic Cohomology & Non-Commutative Geometry
The Theory : Studies deep arithmetic and quantum-like properties of geometric spaces.
Indicator Analogy : The motivic_rank and spectral_triple functions compute weighted sums of historical prices to capture market "arithmetic complexity" and "spectral signature." Higher values reflect structured, harmonic price movements.
5. Perfectoid Spaces & Homotopy Type Theory
The Theory : Abstract fields dealing with p-adic numbers and logical foundations of mathematics.
Indicator Analogy : The perfectoid_conv and type_coherence functions analyze price convergence and path identity, assessing the "fractal dust" of price differences and price path cohesion, adding fractal and logical analysis.
The Combination is Key : No single theory dominates. GTGS โs Unified Field synthesizes all seven perspectives into a comprehensive score, ensuring signals reflect deep structural alignment across mathematical domains.
๐๏ธ INPUTS: CONFIGURING THE GEOMETRIC ENGINE
The GTGS offers a suite of customizable inputs, allowing traders to tailor its behavior to specific timeframes, market sectors, and trading styles. Below is a detailed breakdown of key input groups, their functionality, and optimization strategies, leveraging provided tooltips for precision.
Grothendieck-Teichmรผller Theory Inputs
๐งฌ Deformation Depth (Absolute Galois) :
What It Is : Controls the depth of Galois group deformations analyzed in market structure.
How It Works : Measures price action deformations under automorphisms of the absolute Galois group, capturing market symmetries.
Optimization :
Higher Values (15-20) : Captures deeper symmetries, ideal for major trends in swing trading (4H-1D).
Lower Values (3-8) : Responsive to local deformations, suited for scalping (1-5min).
Timeframes :
Scalping (1-5min) : 3-6 for quick local shifts.
Day Trading (15min-1H) : 8-12 for balanced analysis.
Swing Trading (4H-1D) : 12-20 for deep structural trends.
Sectors :
Stocks : Use 8-12 for stable trends.
Crypto : 3-8 for volatile, short-term moves.
Forex : 12-15 for smooth, cyclical patterns.
Pro Tip : Increase in trending markets to filter noise; decrease in choppy markets for sensitivity.
๐ผ Teichmรผller Tower Height :
What It Is : Determines the height of the Teichmรผller modular tower for hierarchical pattern detection.
How It Works : Builds modular levels to identify nested market patterns.
Optimization :
Higher Values (6-8) : Detects complex fractals, ideal for swing trading.
Lower Values (2-4) : Focuses on primary patterns, faster for scalping.
Timeframes :
Scalping : 2-3 for speed.
Day Trading : 4-5 for balanced patterns.
Swing Trading : 5-8 for deep fractals.
Sectors :
Indices : 5-8 for robust, long-term patterns.
Crypto : 2-4 for rapid shifts.
Commodities : 4-6 for cyclical trends.
Pro Tip : Higher towers reveal hidden fractals but may slow computation; adjust based on hardware.
๐ข Galois Prime Base :
What It Is : Sets the prime base for Galois field computations.
How It Works : Defines the field extension characteristic for market analysis.
Optimization :
Prime Characteristics :
2 : Binary markets (up/down).
3 : Ternary states (bull/bear/neutral).
5 : Pentagonal symmetry (Elliott waves).
7 : Heptagonal cycles (weekly patterns).
11,13,17,19 : Higher-order patterns.
Timeframes :
Scalping/Day Trading : 2 or 3 for simplicity.
Swing Trading : 5 or 7 for wave or cycle detection.
Sectors :
Forex : 5 for Elliott wave alignment.
Stocks : 7 for weekly cycle consistency.
Crypto : 3 for volatile state shifts.
Pro Tip : Use 7 for most markets; 5 for Elliott wave traders.
Topos Theory & Sheaf Cohomology Inputs
๐๏ธ Temporal Site Size :
What It Is : Defines the number of time points in the topological site.
How It Works : Sets the local neighborhood for sheaf computations, affecting cohomology smoothness.
Optimization :
Higher Values (30-50) : Smoother cohomology, better for trends in swing trading.
Lower Values (5-15) : Responsive, ideal for reversals in scalping.
Timeframes :
Scalping : 5-10 for quick responses.
Day Trading : 15-25 for balanced analysis.
Swing Trading : 25-50 for smooth trends.
Sectors :
Stocks : 25-35 for stable trends.
Crypto : 5-15 for volatility.
Forex : 20-30 for smooth cycles.
Pro Tip : Match site size to your average holding period in bars for optimal coherence.
๐ Sheaf Cohomology Degree :
What It Is : Sets the maximum degree of cohomology groups computed.
How It Works : Higher degrees capture complex topological obstructions.
Optimization :
Degree Meanings :
1 : Simple obstructions (basic support/resistance).
2 : Cohomological pairs (double tops/bottoms).
3 : Triple intersections (complex patterns).
4-5 : Higher-order structures (rare events).
Timeframes :
Scalping/Day Trading : 1-2 for simplicity.
Swing Trading : 3 for complex patterns.
Sectors :
Indices : 2-3 for robust patterns.
Crypto : 1-2 for rapid shifts.
Commodities : 3-4 for cyclical events.
Pro Tip : Degree 3 is optimal for most trading; higher degrees for research or rare event detection.
๐ Grothendieck Topology :
What It Is : Chooses the Grothendieck topology for the site.
How It Works : Affects how local data integrates into global patterns.
Optimization :
Topology Characteristics :
รtale : Finest topology, captures local-global principles.
Nisnevich : A1-invariant, good for trends.
Zariski : Coarse but robust, filters noise.
Fpqc : Faithfully flat, highly sensitive.
Sectors :
Stocks : Zariski for stability.
Crypto : รtale for sensitivity.
Forex : Nisnevich for smooth trends.
Indices : Zariski for robustness.
Timeframes :
Scalping : รtale for precision.
Swing Trading : Nisnevich or Zariski for reliability.
Pro Tip : Start with รtale for precision; switch to Zariski in noisy markets.
Unified Field Configuration Inputs
โ๏ธ Field Coupling Constant :
What It Is : Sets the interaction strength between geometric components.
How It Works : Controls signal amplification in the unified field equation.
Optimization :
Higher Values (0.5-1.0) : Strong coupling, amplified signals for ranging markets.
Lower Values (0.001-0.1) : Subtle signals for trending markets.
Timeframes :
Scalping : 0.5-0.8 for quick, strong signals.
Swing Trading : 0.1-0.3 for trend confirmation.
Sectors :
Crypto : 0.5-1.0 for volatility.
Stocks : 0.1-0.3 for stability.
Forex : 0.3-0.5 for balance.
Pro Tip : Default 0.137 (fine structure constant) is a balanced starting point; adjust up in choppy markets.
๐ Geometric Weighting Scheme :
What It Is : Determines the framework for combining geometric components.
How It Works : Adjusts emphasis on different mathematical structures.
Optimization :
Scheme Characteristics :
Canonical : Equal weighting, balanced.
Derived : Emphasizes higher-order structures.
Motivic : Prioritizes arithmetic properties.
Spectral : Focuses on frequency domain.
Sectors :
Stocks : Canonical for balance.
Crypto : Spectral for volatility.
Forex : Derived for structured moves.
Indices : Motivic for arithmetic cycles.
Timeframes :
Day Trading : Canonical or Derived for flexibility.
Swing Trading : Motivic for long-term cycles.
Pro Tip : Start with Canonical; experiment with Spectral in volatile markets.
Dashboard and Visual Configuration Inputs
๐ Show Enhanced Dashboard, ๐ Size, ๐ Position :
What They Are : Control dashboard visibility, size, and placement.
How They Work : Display key metrics like Unified Field , Resonance , and Signal Quality .
Optimization :
Scalping : Small size, Bottom Right for minimal chart obstruction.
Swing Trading : Large size, Top Right for detailed analysis.
Sectors : Universal across markets; adjust size based on screen setup.
Pro Tip : Use Large for analysis, Small for live trading.
๐ Show Motivic Cohomology Bands, ๐ Morphism Flow, ๐ฎ Future Projection, ๐ท Holographic Mesh, โ๏ธ Spectral Flow :
What They Are : Toggle visual elements representing mathematical calculations.
How They Work : Provide intuitive representations of market dynamics.
Optimization :
Timeframes :
Scalping : Enable Morphism Flow and Spectral Flow for momentum.
Swing Trading : Enable all for comprehensive analysis.
Sectors :
Crypto : Emphasize Morphism Flow and Future Projection for volatility.
Stocks : Focus on Cohomology Bands for stable trends.
Pro Tip : Disable non-essential visuals in fast markets to reduce clutter.
๐ซ๏ธ Field Transparency, ๐ Web Recursion Depth, ๐จ Mesh Color Scheme :
What They Are : Adjust visual clarity, complexity, and color.
How They Work : Enhance interpretability of visual elements.
Optimization :
Transparency : 30-50 for balanced visibility; lower for analysis.
Recursion Depth : 6-8 for balanced detail; lower for older hardware.
Color Scheme :
Purple/Blue : Analytical focus.
Green/Orange : Trading momentum.
Pro Tip : Use Neon Purple for deep analysis; Neon Green for active trading.
โฑ๏ธ Minimum Bars Between Signals :
What It Is : Minimum number of bars required between consecutive signals.
How It Works : Prevents signal clustering by enforcing a cooldown period.
Optimization :
Higher Values (10-20) : Fewer signals, avoids whipsaws, suited for swing trading.
Lower Values (0-5) : More responsive, allows quick reversals, ideal for scalping.
Timeframes :
Scalping : 0-2 bars for rapid signals.
Day Trading : 3-5 bars for balance.
Swing Trading : 5-10 bars for stability.
Sectors :
Crypto : 0-3 for volatility.
Stocks : 5-10 for trend clarity.
Forex : 3-7 for cyclical moves.
Pro Tip : Increase in choppy markets to filter noise.
Hardcoded Parameters
Tropical, Motivic, Spectral, Perfectoid, Homotopy Inputs : Fixed to optimize performance but influence calculations (e.g., tropical_degree=4 for support levels, perfectoid_prime=5 for convergence).
Optimization : Experiment with codebase modifications if advanced customization is needed, but defaults are robust across markets.
๐จ ADVANCED VISUAL SYSTEM: TRADING IN A GEOMETRIC UNIVERSE
The GTTMTSF โs visuals are direct representations of its mathematics, designed for intuitive and precise trading decisions.
Motivic Cohomology Bands :
What They Are : Dynamic bands ( Hโฐ , Hยน , Hยฒ ) representing cohomological support/resistance.
Color & Meaning : Colors reflect energy levels ( Hโฐ tightest, Hยฒ widest). Breaks into Hยน signal momentum; Hยฒ touches suggest reversals.
How to Trade : Use for stop-loss/profit-taking. Band bounces with Dashboard confirmation are high-probability setups.
Morphism Flow (Webbing) :
What It Is : White particle streams visualizing market momentum.
Interpretation : Dense flows indicate strong trends; sparse flows signal consolidation.
How to Trade : Follow dominant flow direction; new flows post-consolidation signal trend starts.
Future Projection Web (Fractal Grid) :
What It Is : Fibonacci-period fractal projections of support/resistance.
Color & Meaning : Three-layer lines (white shadow, glow, colored quantum) with labels showing price, topological class, anomaly strength (ฯ), resonance (ฯ), and obstruction ( Hยน ). โก marks extreme anomalies.
How to Trade : Target โก/โ levels for entries/exits. High-anomaly levels with weakening Unified Field are reversal setups.
Holographic Mesh & Spectral Flow :
What They Are : Visuals of harmonic interference and spectral energy.
How to Trade : Bright mesh nodes or strong Spectral Flow warn of building pressure before price movement.
๐ THE GEOMETRIC DASHBOARD: YOUR MISSION CONTROL
The Dashboard translates complex mathematics into actionable intelligence.
Unified Field & Signals :
FIELD : Master value (-10 to +10), synthesizing all geometric components. Extreme readings (>5 or <-5) signal structural limits, often preceding reversals or continuations.
RESONANCE : Measures harmony between geometric field and price-volume momentum. Positive amplifies bullish moves; negative amplifies bearish moves.
SIGNAL QUALITY : Confidence meter rating alignment. Trade only STRONG or EXCEPTIONAL signals for high-probability setups.
Geometric Components :
What They Are : Breakdown of seven mathematical engines.
How to Use : Watch for convergence. A strong Unified Field is reliable when components (e.g., Grothendieck , Topos , Motivic ) align. Divergence warns of trend weakening.
Signal Performance :
What It Is : Tracks indicator signal performance.
How to Use : Assesses real-time performance to build confidence and understand system behavior.
๐ DEVELOPMENT & UNIQUENESS: BEYOND CONVENTIONAL ANALYSIS
The GTTMTSF was developed to analyze markets as evolving geometric objects, not statistical time-series.
Why This Is Unlike Anything Else :
Theoretical Depth : Uses geometry and topology, identifying patterns invisible to statistical tools.
Holistic Synthesis : Integrates seven deep mathematical frameworks into a cohesive Unified Field .
Creative Implementation : Translates PhD-level mathematics into functional Pine Script , blending theory and practice.
Immersive Visualization : Transforms charts into dynamic geometric landscapes for intuitive market understanding.
The GTTMTSF is more than an indicator; itโs a new lens for viewing markets, for traders seeking deeper insight into hidden order within chaos.
" Where there is matter, there is geometry. " - Johannes Kepler
โ Dskyz , Trade with insight. Trade with anticipation.
(Mustang Algo) Stochastic RSI + Triple EMAStochastic RSI + Triple EMA (StochTEMA)
Overview
The Stochastic RSI + Triple EMA indicator combines the Stochastic RSI oscillator with a Triple Exponential Moving Average (TEMA) overlay to generate clear buy and sell signals on the price chart. By measuring RSI overbought/oversold conditions and confirming trend direction with TEMA, this tool helps traders identify high-probability entries and exits while filtering out noise in choppy markets.
Key Features
Stochastic RSI Calculation
Computes a standard RSI over a user-defined period (default 50).
Applies a Stochastic oscillator to the RSI values over a second user-defined period (default 50).
Smooths the %K line by taking an SMA over a third input (default 3), and %D is an SMA of %K over another input (default 3).
Defines oversold when both %K and %D are below 20, and overbought when both are above 80.
Triple EMA (TEMA)
Calculates three successive EMAs on the closing price with the same length (default 9).
Combines them using TEMA = 3ร(EMA1 โ EMA2) + EMA3, producing a fast-reacting trend line.
Bullish trend is identified when price > TEMA and TEMA is rising; bearish trend when price < TEMA and TEMA is falling; neutral/flat when TEMA change is minimal.
Signal Logic
Strong Buy: Previous barโs Stoch RSI was oversold (both %K and %D < 20), %K crosses above %D, and TEMA is in a bullish trend.
Medium Buy: %K crosses above %D (without requiring oversold), TEMA is bullish, and previous %K < 50.
Weak Buy: Previous barโs %K and %D were oversold, %K crosses above %D, TEMA is flat or bullish (not bearish).
Strong Sell: Previous barโs Stoch RSI was overbought (both %K and %D > 80), %K crosses below %D, and TEMA is bearish.
Medium Sell: %K crosses below %D (without requiring overbought), TEMA is bearish, and previous %K > 50.
Weak Sell: Previous barโs %K and %D were overbought, %K crosses below %D, TEMA is flat or bearish (not bullish).
Visual Elements on Chart
TEMA Line: Plotted in cyan (#00BCD4) with a medium-thick line for clear trend visualization.
Buy/Sell Markers:
BUY STRONG: Lime label below the candle
BUY MEDIUM: Green triangle below the candle
BUY WEAK: Semi-transparent green circle below the candle
SELL STRONG: Red label above the candle
SELL MEDIUM: Orange triangle above the candle
SELL WEAK: Semi-transparent orange circle above the candle
Candle & Background Coloring: When a strong buy or sell signal occurs, the candle body is tinted (semi-transparent lime/red) and the chart background briefly flashes light green (buy) or light red (sell).
Dynamic Support/Resistance:
On a strong buy signal, a green dot is plotted under that barโs low as a temporary support marker.
On a strong sell signal, a red dot is plotted above that barโs high as a temporary resistance marker.
Alerts
Strong Buy Alert: Triggered when Stoch RSI is oversold, %K crosses above %D, and TEMA is bullish.
Strong Sell Alert: Triggered when Stoch RSI is overbought, %K crosses below %D, and TEMA is bearish.
General Buy Alert: Triggered on any bullish crossover (%K > %D) when TEMA is not bearish.
General Sell Alert: Triggered on any bearish crossover (%K < %D) when TEMA is not bullish.
Inputs
Stochastic RSI Settings (group โStochastic RSIโ):
K (smoothK): Period length for smoothing the %K line (default 3, minimum 1)
D (smoothD): Period length for smoothing the %D line (default 3, minimum 1)
RSI Length (lengthRSI): Number of bars used for the RSI calculation (default 50, minimum 1)
Stochastic Length (lengthStoch): Number of bars for the Stochastic oscillator applied to RSI (default 50, minimum 1)
RSI Source (src): Price source for the RSI (default = close)
TEMA Settings (group โTriple EMAโ):
TEMA Length (lengthTEMA): Number of bars used for each of the three EMAs (default 9, minimum 1)
How to Use
Add the Script
Copy and paste the indicator code into TradingViewโs Pine Editor (version 6).
Save the script and add it to your chart as โStochastic RSI + Triple EMA (StochTEMA).โ
Adjust Inputs
Choose shorter lengths for lower timeframes (e.g., intraday scalping) and longer lengths for higher timeframes (e.g., swing trading).
Fine-tune the Stochastic RSI parameters (K, D, RSI Length, Stochastic Length) to suit the volatility of the instrument.
Modify TEMA Length if you prefer a faster or slower moving average response.
Interpret Signals
Primary Entries/Exits: Focus on โBUY STRONGโ and โSELL STRONGโ signals, as they require both oversold/overbought conditions and a confirming TEMA trend.
Confirmation Signals: Use โBUY MEDIUMโ/โBUY WEAKโ to confirm or add to an existing position when the market is trending. Similarly, โSELL MEDIUMโ/โSELL WEAKโ can be used to scale out or confirm bearish momentum.
Support/Resistance Dots: These help identify recent swing lows (green dots) and swing highs (red dots) that were tagged by strong signalsโuseful to place stop-loss or profit-target orders.
Set Alerts
Open the Alerts menu (bell icon) in TradingView, choose this script, and select the desired alert condition (e.g., โBUY Signal Strongโ).
Configure notifications (popup, email, webhook) according to your trading workflow.
Notes & Best Practices
Filtering False Signals: By combining Stoch RSI crossovers with TEMA trend confirmation, most false breakouts during choppy price action are filtered out.
Timeframe Selection: This indicator works on all timeframes, but shorter timeframes may generate frequent signalsโconsider higher-timeframe confirmation when trading lower timeframes.
Risk Management: Always use proper position sizing and stop-loss placement. An โoversoldโ or โoverboughtโ reading can remain extended for some time in strong trends.
Backtesting/Optimization: Before live trading, backtest different parameter combinations on historical data to find the optimal balance between sensitivity and reliability for your chosen instrument.
No Guarantee of Profits: As with any technical indicator, past performance does not guarantee future results. Use in conjunction with other forms of analysis (volume, price patterns, fundamentals).
Author: Your Name or Username
Version: 1.0 (Pine Script v6)
Published: June 2025
Feel free to customize input values and visual preferences. If you find bugs or have suggestions for improvements, open an issue or leave a comment below. Trade responsibly!
Volume-Weighted Pivot BandsThe Volume-Weighted Pivot Bands are meant to be a dynamic, rolling pivot system designed to provide traders with responsive support and resistance levels that adapt to both price volatility and volume participation. Unlike traditional daily pivot levels, this tool recalculates levels bar-by-bar using a rolling window of volume-weighted averages, making it highly relevant for intraday traders, scalpers, swing traders, and algorithmic systems alike.
-- What This Indicator Does --
This tool calculates a rolling VWAP-based pivot level, and surrounds that central pivot with up to five upper bands (R1โR5) and five lower bands (S1โS5). These act as dynamic zones of potential resistance (R) and support (S), adapting in real time to price and volume changes.
Rather than relying on static session or daily data, this indicator provides continually evolving levels, offering more relevant levels during sideways action, trending periods, and breakout conditions.
-- How the Bands Are Calculated --
Pivot (VWAP Pivot):
The core of this system is a rolling Volume-Weighted Average Price, calculated over a user-defined window (default 20 bars). This ensures that each barโs price impact is weighted by its volume, giving a more accurate view of fair value during the selected lookback.
Volume-Weighted Range (VW Range):
The highest high and lowest low over the same window are used to calculate the volatility range โ this acts as a spread factor.
Support & Resistance Bands (S1โS5, R1โR5):
The bands are offset above and below the pivot using multiples of the VW Range:
R1 = Pivot + (VW Range ร multiplier)
R2 = R1 + (VW Range ร multiplier)
R3 = R2 + (VW Range x multiplier)
...
S1 = Pivot โ (VW Range ร multiplier)
S2 = S1 โ (VW Range ร multiplier)
S3 = S2 - (VW Range x multiplier)
...
You can control the multiplier manually (default is 0.25), to widen or tighten band spacing.
Smoothing (Optional):
To prevent erratic movements, you can optionally toggle on/off a simple moving average to the pivot line (default length = 20), providing a smoother trend base for the bands.
-- How to Use It --
This indicator can be used for:
Support and resistance identification:
Price often reacts to R1/S1, and the outer bands (R4/R5 or S4/S5) act as overshoot zones or strong reversal areas.
Trend context:
If price is respecting upper bands (R2โR3), the trend is likely bullish. If price is pressing into S3 or lower, it may indicate sustained selling pressure or a breakdown.
Volatility framing:
The distance between bands adjusts based on price range over the rolling window. In tighter markets, the bands compress โ in volatile moves, they expand. This makes the indicator self-adaptive.
Mean reversion trades:
A move into R4/R5 or S4/S5 without continuation can be a sign of exhaustion โ potential for reversal toward the pivot.
Alerting:
Built-in alerts are available for crosses of all major bands (R1โR5, S1โS5), enabling trade automation or scalp alerts with ease.
-- Visual Features --
Fuchsia Lines: Mark all Resistance (R1โR5) levels.
Lime Lines: Mark all Support (S1โS5) levels.
Gray Circle Line: Marks the rolling pivot (VWAP-based).
-- Customizable Settings --
Rolling Length: Number of bars used to calculate VWAP and VW Range.
Multiplier: Controls how wide the bands are spaced.
Smooth Pivot: Toggle on/off to smooth the central pivot.
Pivot Smoothing Length: Controls how many bars to average when smoothing is enabled.
Offset: Visually shift all bands forward/backward in time.
-- Why Use This Over Standard Pivots? --
Traditional pivots are based on previous session data and remain fixed. Thatโs useful for static setups, but may become irrelevant as price action evolves. In contrast:
This system updates every bar, adjusting to current price behavior.
It includes volume โ a key feature missing from most static pivots.
It shows multiple bands, giving a full view of compression, breakout potential, or trend exhaustion.
-- Who Is This For? --
This tool is ideal for:
Day traders & scalpers who need relevant intraday levels.
Swing traders looking for evolving areas of confluence.
Algorithmic/systematic traders who rely on quantifiable, volume-aware support/resistance.
Traders on all assets: works on crypto, stocks, futures, forex โ any chart that has volume.
Linear Regression with StdDev BandsLinear Regression with Standard Deviation Bands Indicator
This indicator plots a linear regression line along with upper and lower bands based on standard deviation. It helps identify potential overbought and oversold conditions, as well as trend direction and strength.
Key Components:
Linear Regression Line: Represents the average price over a specified period.
Upper and Lower Bands: Calculated by adding and subtracting the standard deviation (multiplied by a user-defined factor) from the linear regression line. These bands act as dynamic support and resistance levels.
How to Use:
Trend Identification: The direction of the linear regression line indicates the prevailing trend.
Overbought/Oversold Signals: Prices approaching or crossing the upper band may suggest overbought conditions, while prices near the lower band may indicate oversold conditions.
Dynamic Support/Resistance: The bands can act as potential support and resistance levels.
Alerts: Option to enable alerts when the price crosses above the upper band or below the lower band.
Customization:
Regression Length: Adjust the period over which the linear regression is calculated.
StdDev Multiplier: Modify the width of the bands by changing the standard deviation multiplier.
Price Source: Choose which price data to use for calculations (e.g., close, open, high, low).
Alerts: Enable or disable alerts for band crossings.
This indicator is a versatile tool for understanding price trends and potential reversal points.
Liquidity Heatmap SwiftEdgeDescription
Liquidity Heatmap with Buy/Sell Side (Blue/Red) is a technical analysis tool designed to help traders identify potential liquidity zones in the market by combining swing high/low detection with volume analysis, visualized as a heatmap overlay on the chart. This script highlights areas where significant buying or selling pressure may exist, often acting as support or resistance levels, and provides a clear visual representation of these zones using color-coded heatmap boxes and labeled bubbles.
What It Does
The script identifies key price levels (swing highs and lows) where liquidity is likely to be concentrated, such as stop-loss clusters or pending orders. These levels are then grouped into a heatmap, with blue zones representing potential buy-side liquidity (below the current price) and red zones indicating sell-side liquidity (above the current price). Each zone is marked with a bubble showing the estimated liquidity amount, derived from volume data, to help traders gauge the strength of the level.
How It Works
The script combines three main components to create a comprehensive liquidity visualization:
Swing Highs and Lows Detection:
The script uses the ta.pivothigh and ta.pivotlow functions to identify swing highs and lows over a user-defined lookback period (Swing Length). These levels often represent areas where price has reversed, indicating potential liquidity zones where stop-losses or pending orders may be placed.
Volume Analysis:
Volume data at each swing high/low is captured and averaged over a specified period (Volume Average Length). This volume is then scaled using a multiplier (Volume Multiplier for Liquidity) to estimate the liquidity amount at each level, displayed in thousands (e.g., "10K") on the chart via labeled bubbles.
Heatmap Visualization:
The identified levels are grouped into price bins to form a heatmap. The price range is divided into a user-defined number of bins (Number of Heatmap Bins), and each bin is drawn as a colored box (blue for buy-side, red for sell-side). The transparency of the heatmap boxes can be adjusted (Heatmap Transparency) to ensure they do not obscure the price action.
Why Combine These Components?
The combination of swing highs/lows, volume analysis, and a heatmap provides a powerful way to visualize liquidity in the market. Swing highs and lows are natural points where liquidity tends to accumulate, as they often coincide with areas where traders place stop-losses or pending orders. By incorporating volume data, the script quantifies the potential strength of these levels, giving traders insight into the magnitude of liquidity present. The heatmap visualization then aggregates these levels into a clear, color-coded overlay, making it easy to see where buy-side and sell-side liquidity is concentrated without cluttering the chart.
This mashup is particularly useful because it bridges price action (swing levels), market activity (volume), and visual clarity (heatmap), offering a holistic view of potential support and resistance zones that might influence price movements.
How to Use It
Add the Indicator to Your Chart:
Apply the script to your chart by adding it from the Pine Script library. It will overlay directly on your price chart.
Interpret the Heatmap:
Blue Zones (Buy-Side Liquidity): These appear below the current price and indicate levels where buying pressure or stop-losses from short positions may be located.
Red Zones (Sell-Side Liquidity): These appear above the current price and indicate levels where selling pressure or stop-losses from long positions may be located.
The intensity of the color is controlled by the Heatmap Transparency settingโlower values make the zones more opaque, while higher values make them more transparent.
Analyze the Bubbles:
Each liquidity zone is marked with a bubble showing the estimated liquidity amount in thousands (e.g., "10K"). The size of the bubble is scaled by the Bubble Size Multiplier, with larger bubbles indicating higher liquidity.
Adjust Settings for Your Needs:
Liquidity Settings:
Swing Length: Controls the lookback period for detecting swing highs and lows. A smaller value (e.g., 10) is better for shorter timeframes like 1-minute charts, while a larger value (e.g., 50) suits higher timeframes.
Liquidity Threshold: Defines how close two levels must be to be considered the same, preventing duplicate zones.
Volume Average Length: Sets the period for averaging volume data at swing points.
Volume Multiplier for Liquidity: Scales the volume to estimate liquidity amounts shown in the bubbles.
Lookback Period (Hours): Limits how far back the script looks for liquidity zones.
Use Price Window Filter: If enabled, only shows zones within a price range defined by Liquidity Window (Points per Side).
Heatmap Settings:
Number of Heatmap Bins: Determines how many price bins the heatmap is divided into. More bins create a finer resolution but may clutter the chart.
Heatmap Bin Height (Points): Sets the vertical height of each heatmap box in price points.
Heatmap Transparency: Adjusts the transparency of the heatmap boxes (0 = fully opaque, 100 = fully transparent).
Display Settings:
Bubble Size Multiplier: Scales the size of the bubbles showing liquidity amounts.
Trading Application:
Use the heatmap to identify potential support (blue zones) and resistance (red zones) levels where price may react.
Pay attention to zones with larger bubbles, as they indicate higher liquidity and may have a stronger impact on price.
Combine with other analysis tools (e.g., trendlines, indicators) to confirm trade setups.
What Makes It Original?
This script stands out by integrating swing high/low detection with volume-based liquidity estimation and a heatmap visualization in a single tool. Unlike traditional support/resistance indicators that only plot static lines, this script dynamically aggregates liquidity zones into a heatmap, making it easier to see clusters of potential buying or selling pressure. The addition of volume-derived liquidity amounts in labeled bubbles provides a unique quantitative measure of each zone's strength, helping traders prioritize key levels. The color-coded buy/sell distinction further enhances its utility by visually separating zones based on their likely market impact.
Example Use Case
On a 1-minute chart of EUR/USD, you might set Swing Length to 10 to capture short-term pivots, Lookback Period (Hours) to 4 to focus on recent data, and Liquidity Window to 200 points (20 pips) to show only nearby zones. The heatmap will then display blue zones below the current price where buy-side liquidity may act as support, and red zones above where sell-side liquidity may act as resistance. A bubble showing "50K" at a blue zone indicates significant buy-side liquidity, suggesting a potential bounce if the price approaches that level.
Nef33-Volume Footprint ApproximationDescription of the "Volume Footprint Approximation" Indicator
Purpose
The "Volume Footprint Approximation" indicator is a tool designed to assist traders in analyzing market volume dynamics and anticipating potential trend changes in price. It is inspired by the concept of a volume footprint chart, which visualizes the distribution of trading volume across different price levels. However, since TradingView does not provide detailed intrabar data for all users, this indicator approximates the behavior of a footprint chart by using available volume and price data (open, close, volume) to classify volume as buy or sell, calculate volume delta, detect imbalances, and generate trend change signals.
The indicator is particularly useful for identifying areas of high buying or selling activity, imbalances between supply and demand, delta divergences, and potential reversal points in the market. It provides specific signals for bullish and bearish trend changes, making it suitable for traders looking to trade reversals or confirm trends.
How It Works
The indicator uses volume and price data from each candlestick to perform the following calculations:
Volume Classification:
Classifies the volume of each candlestick as "buy" or "sell" based on price movement:
If the closing price is higher than the opening price (close > open), the volume is classified as "buy."
If the closing price is lower than the opening price (close < open), the volume is classified as "sell."
If the closing price equals the opening price (close == open), it compares with the previous close to determine the direction:
If the current close is higher than the previous close, it is classified as "buy."
If the current close is lower than the previous close, it is classified as "sell."
If the current close equals the previous close, the classification from the previous bar is used.
Delta Calculation:
Calculates the volume delta as the difference between buy volume and sell volume (buyVolume - sellVolume).
A positive delta indicates more buy volume; a negative delta indicates more sell volume.
Imbalance Detection:
Identifies imbalances between buy and sell volume:
A buy imbalance occurs when buy volume exceeds sell volume by a defined percentage (default is 300%).
A sell imbalance occurs when sell volume exceeds buy volume by the same percentage.
Delta Divergence Detection:
Positive Delta Divergence: Occurs when the price is falling (for at least 2 bars) but the delta is increasing or becomes positive, indicating that buyers are entering despite the price decline.
Negative Delta Divergence: Occurs when the price is rising (for at least 2 bars) but the delta is decreasing or becomes negative, indicating that sellers are entering despite the price increase.
Trend Change Signals:
Bullish Signal (trendChangeBullish): Generated when the following conditions are met:
There is a positive delta divergence.
The delta has moved from a negative value (e.g., -500) to a positive value (e.g., +200) over the last 3 bars.
There is a buy imbalance.
The price is near a historical support level (approximated as the lowest low of the last 50 bars).
Bearish Signal (trendChangeBearish): Generated when the following conditions are met:
There is a negative delta divergence.
The delta has moved from a positive value (e.g., +500) to a negative value (e.g., -200) over the last 3 bars.
There is a sell imbalance.
The price is near a historical resistance level (approximated as the highest high of the last 50 bars).
Visual Elements
The indicator is displayed in a separate panel below the price chart (overlay=false) and includes the following elements:
Volume Histograms:
Buy Volume: Represented by a green histogram. Shows the volume classified as "buy."
Sell Volume: Represented by a red histogram. Shows the volume classified as "sell."
Note: The histograms overlap, and the last plotted histogram (red) takes visual precedence, meaning the sell volume may cover the buy volume if it is larger.
Delta Line:
Delta Volume: Represented by a blue line. Shows the difference between buy and sell volume.
A line above zero indicates more buy volume; a line below zero indicates more sell volume.
A dashed gray horizontal line marks the zero level for easier interpretation.
Imbalance Backgrounds:
Buy Imbalance: Light green background when buy volume exceeds sell volume by the defined percentage.
Sell Imbalance: Light red background when sell volume exceeds buy volume by the defined percentage.
Divergence Backgrounds:
Positive Delta Divergence: Lime green background when a positive delta divergence is detected.
Negative Delta Divergence: Fuchsia background when a negative delta divergence is detected.
Trend Change Signals:
Bullish Signal: Green label with the text "Bullish Trend Change" when the conditions for a bullish trend change are met.
Bearish Signal: Red label with the text "Bearish Trend Change" when the conditions for a bearish trend change are met.
Information Labels:
Below each bar, a label displays:
Total Vol: The total volume of the bar.
Delta: The delta volume value.
Alerts
The indicator generates the following alerts:
Positive Delta Divergence: "Positive Delta Divergence Detected! Price is falling, but delta is increasing."
Negative Delta Divergence: "Negative Delta Divergence Detected! Price is rising, but delta is decreasing."
Bullish Trend Change Signal: "Bullish Trend Change Signal! Positive Delta Divergence, Delta Rise, Buy Imbalance, and Near Support."
Bearish Trend Change Signal: "Bearish Trend Change Signal! Negative Delta Divergence, Delta Drop, Sell Imbalance, and Near Resistance."
These alerts can be configured in TradingView to receive real-time notifications.
Adjustable Parameters
The indicator allows customization of the following parameters:
Imbalance Threshold (%): The percentage required to detect an imbalance between buy and sell volume (default is 300%).
Lookback Period for Divergence: Number of bars to look back for detecting price and delta trends (default is 2 bars).
Support/Resistance Lookback Period: Number of bars to look back for identifying historical support and resistance levels (default is 50 bars).
Delta High Threshold (Bearish): Minimum delta value 2 bars ago for the bearish signal (default is +500).
Delta Low Threshold (Bearish): Maximum delta value in the current bar for the bearish signal (default is -200).
Delta Low Threshold (Bullish): Maximum delta value 2 bars ago for the bullish signal (default is -500).
Delta High Threshold (Bullish): Minimum delta value in the current bar for the bullish signal (default is +200).
Practical Use
The indicator is useful for the following purposes:
Identifying Trend Changes:
The trend change signals (trendChangeBullish and trendChangeBearish) indicate potential price reversals. For example, a bullish signal near a support level may be an opportunity to enter a long position.
Detecting Divergences:
Delta divergences (positive and negative) can anticipate trend changes by showing a disagreement between price movement and underlying buying/selling pressure.
Finding Key Levels:
Imbalances (green and red backgrounds) often coincide with support and resistance levels, helping to identify areas where the market might react.
Confirming Trends:
A consistently positive delta in an uptrend or a negative delta in a downtrend can confirm the strength of the trend.
Identifying Failed Auctions:
Although not detected automatically, you can manually identify failed auctions by observing a price move to new highs/lows with decreasing volume in the direction of the move.
Limitations
Intrabar Data: It does not use detailed intrabar data, making it less precise than a native footprint chart.
Approximations: Volume classification and support/resistance detection are approximations, which may lead to false signals.
Volume Dependency: It requires reliable volume data, so it may be less effective on assets with inaccurate volume data (e.g., some forex pairs).
False Signals: Divergences and imbalances do not always indicate a trend change, especially in strongly trending markets.
Recommendations
Combine with Other Indicators: Use tools like RSI, MACD, support/resistance levels, or candlestick patterns to confirm signals.
Trade on Higher Timeframes: Signals are more reliable on higher timeframes like 1-hour or 4-hour charts.
Perform Backtesting: Evaluate the indicator's accuracy on historical data to adjust parameters and improve effectiveness.
Adjust Parameters: Modify thresholds (e.g., imbalanceThreshold or supportResistanceLookback) based on the asset and timeframe you are trading.
Conclusion
The "Volume Footprint Approximation" indicator is a powerful tool for analyzing volume dynamics and anticipating price trend changes. By classifying volume, calculating delta, detecting imbalances and divergences, and generating trend change signals, it provides traders with valuable insights into market buying and selling pressure. While it has limitations due to the lack of intrabar data, it can be highly effective when used in combination with other technical analysis tools and on assets with reliable volume data.
Adaptive Fibonacci Volatility Bands (AFVB)
**Adaptive Fibonacci Volatility Bands (AFVB)**
### **Overview**
The **Adaptive Fibonacci Volatility Bands (AFVB)** indicator enhances standard **Fibonacci retracement levels** by dynamically adjusting them based on market **volatility**. By incorporating **ATR (Average True Range) adjustments**, this indicator refines key **support and resistance zones**, helping traders identify **more reliable entry and exit points**.
**Key Features:**
- **ATR-based adaptive Fibonacci levels** that adjust to changing market volatility.
- **Buy and Sell signals** based on price interactions with dynamic support/resistance.
- **Toggleable confirmation filter** for refining trade signals.
- **Customizable color schemes** and alerts.
---
## **How This Indicator Works**
The **AFVB** operates in three main steps:
### **1๏ธโฃ Detecting Key Fibonacci Levels**
The script calculates **swing highs and swing lows** using a user-defined lookback period. From this, it derives **Fibonacci retracement levels**:
- **0% (High)**
- **23.6%**
- **38.2%**
- **50% (Mid-Level)**
- **61.8%**
- **78.6%**
- **100% (Low)**
### **2๏ธโฃ Adjusting for Market Volatility**
Instead of using **fixed retracement levels**, this indicator incorporates an **ATR-based adjustment**:
- **Resistance levels** shift **upward** based on ATR.
- **Support levels** shift **downward** based on ATR.
- This makes levels more **responsive** to price action.
### **3๏ธโฃ Generating Buy & Sell Signals**
AFVB provides **two types of signals** based on price interactions with key levels:
โ **Buy Signal**:
Occurs when price **dips below** a support level (78.6% or 100%) and **then closes back above it**.
- **Optionally**, a confirmation buffer can be enabled to require price to close **above an additional threshold** (based on ATR).
โ **Sell Signal**:
Triggered when price **breaks above a resistance level** (0% or 23.6%) and **then closes below it**.
๐ **Important:**
- The **buy threshold setting** allows traders to **fine-tune** entry conditions.
- Turning this setting **off** generates **more frequent** buy signals.
- Keeping it **on** reduces false signals but may result in **fewer trade opportunities**.
---
## **How to Use This Indicator in Trading**
### ๐น **Entry Strategy (Buying)**
1๏ธโฃ Look for **buy signals** at the **78.6% or 100% Fibonacci levels**.
2๏ธโฃ Ensure price **closes above** the support level before entering a long trade.
3๏ธโฃ **Enable or disable** the buy threshold filter depending on desired trade strictness.
### ๐น **Exit Strategy (Selling)**
1๏ธโฃ Watch for **sell signals** at the **0% or 23.6% Fibonacci levels**.
2๏ธโฃ If price **breaks above resistance and then closes below**, consider exiting long positions.
3๏ธโฃ Can be used **alone** or **combined with trend confirmation tools** (e.g., moving averages, RSI).
### ๐น **Using the Toggleable Buy Threshold**
- **ON**: Buy signal requires **extra confirmation** (reduces false signals but fewer trades).
- **OFF**: Buy triggers as soon as price **closes back above support** (more signals, but may include weaker setups).
---
## **User Inputs**
### **๐ง Customization Options**
- **ATR Length**: Defines the period for **ATR calculation**.
- **Swing Lookback**: Determines how far back to find **swing highs and lows**.
- **ATR Multiplier**: Adjusts the size of **volatility-based modifications**.
- **Buy/Sell Threshold Factor**: Fine-tunes the **entry signal strictness**.
- **Show Level Labels**: Enables/disables **Fibonacci level annotations**.
- **Color Settings**: Customize **support/resistance colors**.
### **๐ข Alerts**
AFVB includes built-in **alert conditions** for:
- **Buy Signals** ("AFVB BUY SIGNAL - Possible reversal at support")
- **Sell Signals** ("AFVB SELL SIGNAL - Possible reversal at resistance")
- **Any Signal Triggered** (Useful for automated alerts)
---
## **Who Is This Indicator For?**
โ
**Scalpers & Day Traders** โ Helps identify **short-term reversals**.
โ
**Swing Traders** โ Useful for **buying dips** and **selling rallies**.
โ
**Trend Traders** โ Can be combined with **momentum indicators** for confirmation.
**Best Timeframes:**
โณ **15-minute, 1-hour, 4-hour, Daily charts** (works across multiple assets).
---
## **Limitations & Considerations**
๐จ **Important Notes**:
- **No indicator guarantees profits**. Always **combine** it with **risk management strategies**.
- Works best **in trending & mean-reverting markets**โmay generate false signals in **choppy conditions**.
- Performance may vary across **different assets & timeframes**.
๐ข **Backtesting is recommended** before using it for live trading.
Wave N + KDJ + Volumi + SMC + IchimokuWave N + KDJ + Volume + SMC + Ichimoku Indicator
Overview
This script is a multi-layered technical indicator designed to provide traders with enhanced market insights by combining five key methodologies:
โข Wave N Pattern (Price Action)
โข KDJ Oscillator (Momentum)
โข Volume Filtering (Confirmation)
โข Smart Money Concepts (Order Blocks) (Institutional Activity)
โข Ichimoku Cloud (Trend and Support/Resistance)
By integrating these components, the indicator identifies high-probability trading signals, early warnings of trend shifts, and institutional price zones to improve decision-making in volatile markets.
โธป
How It Works
1๏ธโฃ Wave N Pattern (Price Action Structure)
The Wave N pattern is a classic price action formation that helps spot potential trend reversals and continuations:
โข A Bullish Wave N is detected when a higher low and a higher high structure appears.
โข A Bearish Wave N is detected when a lower high and a lower low structure forms.
2๏ธโฃ KDJ Oscillator (Momentum & Trend Strength)
The KDJ Indicator is a variation of the Stochastic Oscillator that adds a third line, J, to amplify sensitivity to trend movements.
โข J > 50 indicates bullish momentum.
โข J < 50 indicates bearish momentum.
โข The script includes an early warning signal when J crosses 50, suggesting a possible trend shift.
3๏ธโฃ Volume Filtering (Trade Confirmation)
To avoid false signals, the script integrates volume confirmation:
โข A signal is valid only if the volume is above the 20-period EMA of volume.
โข This ensures that trade signals are supported by strong market participation.
4๏ธโฃ Smart Money Concepts (Order Blocks)
Order Blocks represent areas of institutional interest, where large traders accumulate or distribute positions.
โข The script detects bullish order blocks (potential support) and bearish order blocks (potential resistance).
โข These areas help identify optimal entry and exit points.
5๏ธโฃ Ichimoku Cloud (Trend & Dynamic Support/Resistance)
The Ichimoku Cloud is used to confirm trend direction:
โข Baseline (Kijun-sen) acts as a key trend filter.
โข Senkou Span A & B form the cloud (Kumo), indicating dynamic support/resistance.
โข Buy signals require price to be above the baseline, while sell signals require price to be below the baseline.
โธป
Trading Signals & Visual Elements
โ
BUY Signal (Green Arrow)
Occurs when:
โข A Bullish Wave N forms
โข J > 50 (Bullish KDJ Signal)
โข Volume is above EMA threshold
โข Price is above the Ichimoku Baseline
โ SELL Signal (Red Arrow)
Occurs when:
โข A Bearish Wave N forms
โข J < 50 (Bearish KDJ Signal)
โข Volume is above EMA threshold
โข Price is below the Ichimoku Baseline
โ ๏ธ Early Warning (Trend Shift Signal)
โข An early warning appears when J crosses 50, indicating a possible upcoming trend shift.
โข The line color changes based on the potential move:
โข Green/Blue โ Possible Uptrend
โข Red/Orange โ Possible Downtrend
โธป
Why This Indicator is Unique?
Unlike simple trend-following indicators, this script:
โข Combines Price Action, Momentum, Volume, and Institutional Order Flow for a multi-dimensional approach.
โข Filters out weak signals using volume confirmation and Ichimoku.
โข Provides early warnings before major trend shifts.
โข Visualizes Smart Money Order Blocks, giving traders an edge in spotting institutional zones.
โธป
Best Timeframes & Markets
๐ Recommended Timeframes:
โข 1H & 1D (works best on medium/long-term trends)
๐น Markets:
โข Crypto, Forex, and Stocks
This indicator is designed for traders who value confluence and strong confirmation in their strategies. Whether you are a trend trader, swing trader, or institutional flow analyst, this tool can help refine your decision-making process.
๐ Optimize your trades with Wave N + KDJ + Volume + SMC + Ichimoku! ๐
Machine Learning + IchimokuIchimoku Cloud + Machine Learning Levels is an advanced indicator that merges a classic trend tool with machine-learned supply & demand zones. Combining the two can help traders identify trends and key price zones with greater confidence when both signals align!
How it Works
The Ichimoku Cloud component identifies the trend direction and momentum at a glance โ it shows support/resistance areas via its cloud (Kumo) and signals potential trend changes when the Tenkan-sen and Kijun-sen lines cross. Meanwhile, the Machine Learning module analyzes historical price data to project potential support and resistance levels (displayed as horizontal lines) that the algorithm deems significant. By combining these, the script offers a two-layer confirmation: Ichimoku outlines the broader trend and equilibrium, while the ML levels pinpoint specific price levels where the price may react. For example, if price is above the Ichimoku Cloud (uptrend) and also near an ML-predicted support, the confluence of these signals strengthens the case for a bounce.
How to Use
Apply the indicator to a chart like any other TradingView script. It works on multiple asset classes (see supported list below). Once added:
Ichimoku Lines
Tenkan-sen (Blue): Short-term average reflecting recent highs/lows.
Kijun-sen (Red): Medium-term baseline for support/resistance.
Senkou Span A (Green) & Senkou Span B (Orange) form the โCloudโ (Kumo). Price above the Cloud often signals a bullish environment; price below it can signal a bearish environment.
Chikou Span (Purple): Plots current closing price shifted back, helping gauge momentum vs. past price.
ML-Predicted Support/Resistance Lines (Green/Red Horizontal Lines)
Green Horizontal Lines โ Potential support zones.
Red Horizontal Lines โ Potential resistance zones.
These dynamically adjust based on the specific asset and are updated as new historical data becomes available.
Password (for Advanced Features)
In the indicatorโs Settings, there is an input field labeled โPassword.โ The password corresponds to the ticker(s) listed below.
Stocks
TSLA, NVDA, AAPL, AMZN, PLTR, AMD, META, MSFT, MSTR, GOOG, GME, COIN, NFLX, BABA, UBER, HOOD, NKE
Cryptocurrencies
ETH, BTC, SOL, BNB, XRP, ADA, DOT, DOGE, LTC, JUP, LINK, INJ, FET, SAND, HBAR, TRX, SHIB, UNI
(If you attach the indicator to any unlisted ticker, you will only see the Ichimoku Cloud.)
Why Itโs Unique
This script is a fresh take on market analysis โ itโs original in fusing Ichimokuโs visual trend mapping with machine learning. The Ichimoku framework provides time-proven trend insight, and the ML levels add forward-looking context specific to each asset. By uniting them, the indicator aims to filter out false signals and highlight high-probability zones. No repainting occurs: Ichimoku values are based on closed data, and ML levels are computed from historical patterns (they do not retroactively change).
Ichimoku Cloud + Machine Learning Levels offers an informative blend of old and new analysis techniques. It clearly shows where price is relative to trend (via Ichimoku) and where it might react in the future (via ML levels). Use it to gain a richer view of the marketโs behavior. I hope this indicator provides valuable insights for your trading decisions. Happy trading!
AdvancedLines (FiboBands) - PaSKaL
Overview :
AdvancedLines (FiboBands) - PaSKaL is an advanced technical analysis tool designed to automate the plotting of key Fibonacci retracement levels based on the highest high and lowest low over a customizable period. This indicator helps traders identify critical price zones such as support, resistance, and potential trend reversal or continuation points.
By using AdvancedLines (FiboBands) - PaSKaL , traders can easily spot key areas where the price is likely to reverse or consolidate, or where the trend may continue. It is particularly useful for trend-following, scalping, and range-trading strategies.
Key Features:
Automatic Fibonacci Level Calculation :
- The indicator automatically calculates and plots key Fibonacci levels (0.236, 0.382, 0.5, 0.618, and 0.764), which are crucial for identifying potential support and resistance levels in the market.
Adjustable Parameters :
- Bands Length: You can adjust the bands_length setting to change the number of bars used for calculating the highest high and lowest low. This gives flexibility for using the indicator on different timeframes and trading styles.
- Visibility: The Fibonacci levels, as well as the midline (0.5 Fibonacci level), can be shown or hidden based on your preference.
- Color Customization: You can change the color of each Fibonacci level and background fills to suit your chart preferences.
Fibonacci Levels
- The main Fibonacci levels plotted are:
- 0.236 โ Minor support/resistance level
- 0.382 โ Moderate retracement level
- 0.5 โ Midpoint retracement, often used as a key level
- 0.618 โ Golden ratio, considered one of the most important Fibonacci levels
- 0.764 โ Strong reversal level, often indicating a continuation or change in trend
Background Fill
- The indicator allows you to fill the background between the Fibonacci levels and the bands with customizable colors. This makes it easier to visually highlight key zones on the chart.
How the Indicator Works:
AdvancedLines (FiboBands) - PaSKaL calculates the range (difference between the highest high and the lowest low) over a user-defined number of bars (e.g., 300). Fibonacci levels are derived from this range, helping traders identify potential price reversal points.
Mathematical Basis :
Fibonacci retracement levels are based on the Fibonacci sequence, where each number is the sum of the previous two (0, 1, 1, 2, 3, 5, 8, 13, etc.). The ratios derived from this sequence (such as 0.618 and 0.382) have been widely observed in nature, market cycles, and price movements. These ratios are used to forecast potential price retracements or continuation points after a major price move.
Fibonacci Levels Calculation :
Identify the Range: The highest high and the lowest low over the defined period are calculated.
Apply Fibonacci Ratios: Fibonacci ratios (0.236, 0.382, 0.5, 0.618, and 0.764) are applied to this range to calculate the corresponding price levels.
Plot the Levels: The indicator automatically plots these levels on your chart.
Customizing Fibonacci Levels & Colors:
The "AdvancedLines (FiboBands) - PaSKaL" indicator offers various customization options for Fibonacci levels, colors, and visibility:
Fibonacci Level Ratios:
- You can customize the Fibonacci level ratios through the following inputs:
- Fibo Level 1: 0.764
- Fibo Level 2: 0.618
- Fibo Level 3: 0.5
- Fibo Level 4: 0.382
- Fibo Level 5: 0.236
- These levels determine key areas where price may reverse or pause. You can adjust these ratios based on your trading preferences.
Fibonacci Level Colors:
- Each Fibonacci level can be assigned a different color to make it more distinguishable on your chart:
- Fibo Level 1 Color (default: Yellow)
- Fibo Level 2 Color (default: Orange)
- Fibo Level 3 Color (default: Green)
- Fibo Level 4 Color (default: Red)
- Fibo Level 5 Color (default: Blue)
- You can change these colors to fit your visual preferences or to align with your existing chart themes.
Visibility of Fibonacci Levels:
- You can choose whether to display each Fibonacci level using the following visibility inputs:
- Show Fibo Level 1 (0.764): Display or hide this level.
- Show Fibo Level 2 (0.618): Display or hide this level.
- Show Fibo Level 3 (0.5): Display or hide this level.
- Show Fibo Level 4 (0.382): Display or hide this level.
- Show Fibo Level 5 (0.236): Display or hide this level.
- This allows you to customize the indicator according to the specific Fibonacci levels that are most relevant to your trading strategy.
Background Fill Color
- The background between the Fibonacci levels and price bands can be filled with customizable colors:
- Fill Color for Upper Band & Fibo Level 1: This color will fill the area between the upper band and Fibonacci Level 1.
- Fill Color for Lower Band & Fibo Level 5: This color will fill the area between the lower band and Fibonacci Level 5.
- Adjusting these colors helps highlight critical zones where price may reverse or consolidate.
How to Use AdvancedLines (FiboBands) - PaSKaL in Trading :
Range Trading :
Range traders typically buy at support and sell at resistance. Fibonacci levels provide excellent support and resistance zones in a ranging market.
Example: If price reaches the 0.618 level in an uptrend, it may reverse, providing an opportunity to sell.
Conversely, if price drops to the 0.382 level, a bounce might occur, and traders can buy, anticipating the market will stay within the range.
Trend-following Trading :
For trend-following traders, Fibonacci levels act as potential entry points during a retracement. After a strong trend, price often retraces to one of the Fibonacci levels before continuing in the direction of the trend.
Example: In a bullish trend, when price retraces to the 0.382 level, it could be a signal to buy, as the price might resume its upward movement after the correction.
In a bearish trend, retracements to levels like 0.618 or 0.764 could provide optimal opportunities for shorting as the price resumes its downward movement.
Scalping :
Scalpers focus on short-term price movements. Fibonacci levels can help identify precise entry and exit points for quick trades.
Example: If price is fluctuating in a narrow range, a scalper can enter a buy trade at 0.236 and exit at the next Fibonacci level, such as 0.382 or 0.5, capturing small but consistent profits.
Stop-Loss and Take-Profit Levels :
Fibonacci levels can also help in setting stop-loss and take-profit levels.
Example: In a bullish trend, you can set a stop-loss just below the 0.236 level and a take-profit at 0.618.
In a bearish trend, set the stop-loss just above the 0.382 level and the take-profit at 0.764.
Identifying Reversals and Continuations :
Reversals: When price reaches a Fibonacci level and reverses direction, it may indicate the end of a price move.
Trend Continuation: If price bounces off a Fibonacci level and continues in the same direction, this may signal that the trend is still intact.
Conclusion :
AdvancedLines (FiboBands) - PaSKaL is an essential tool for any trader who uses Fibonacci retracements in their trading strategy. By automatically plotting key Fibonacci levels, this indicator helps traders quickly identify support and resistance zones, forecast potential reversals, and make more informed trading decisions.
For Trend-following Traders: Use Fibonacci levels to find optimal entry points after a price retracement.
For Range Traders: Identify key levels where price is likely to reverse or bounce within a range.
For Scalpers: Pinpoint small price movements and take advantage of quick profits by entering and exiting trades at precise Fibonacci levels.
By incorporating AdvancedLines (FiboBands) - PaSKaL into your trading setup, you will gain a deeper understanding of price action, improve your decision-making process, and enhance your overall trading performance.
Cumulative Price AverageThe Cumulative Price Average (CPA) indicator calculates and plots the overall average of candlestick prices, providing a smoothed representation of the market's long-term price trend. This is achieved by aggregating the averages of each candle (Open, High, Low, Close) and dynamically updating the overall average as new candles are added.
Key Features
Long-Term Price Perspective: Displays the cumulative average of all candles from the start of the chart.
Trend Visualization: Smooths out short-term price fluctuations to highlight the overall trend.
Dynamic Updates: The average adjusts with each new bar for real-time analysis.
Usage
Trend Analysis:
Identify long-term bullish or bearish trends by observing the slope of the CPA line.
Support/Resistance:
The CPA line can act as a dynamic support or resistance level for the price.
Price Comparison:
Compare the current price to the CPA to assess whether the market is overbought or oversold relative to its historical average.
This indicator is especially useful for traders seeking to incorporate a historical perspective into their analysis, providing insights into the broader market behavior beyond short-term volatility.
Comprehensive Trading Toolkit [BigBeluga]Trading Toolkit is a comprehensive indicator inspired by the trading strategies of the renowned crypto influencer Michaรซl van de Poppe . This tool combines RSI divergences, correction zones, and advanced support/resistance levels to provide traders with a robust framework for analyzing market movements.
๐ต Key Features:
RSI Divergences on Chart:
Automatically identifies and plots RSI divergences (bullish and bearish) directly on the main price chart.
Green lines indicate bullish divergences, suggesting potential upward reversals.
Red lines indicate bearish divergences, signaling possible downward movements.
Correction Boxes:
Traders typically define a correction as a drop in value of 10% or more. This drop can happen over a few hours or a few days. Also, it can last for less than 24 hours or many months.
This indicator visualizes corrections with blue shaded boxes, triggered by a percentage decline defined in the settings.
The boxes highlight sharp price drops, helping traders identify significant market movements quickly.
Advanced Support and Resistance Levels:
Dynamically detects key support and resistance levels based on price pivots.
When the price is above a level, it plots a green shaded area from the cross point, marking support.
When the price drops below a level, it plots a red shaded area, highlighting resistance.
Dashed lines indicate weaker levels, while solid lines represent stronger, more reliable levels.
๐ต Usage:
Identify Divergences: Use plotted RSI divergences to detect potential market reversals and align them with price action.
Analyze Correction Zones: Utilize correction boxes to evaluate significant price declines and find potential buying opportunities during these corrections.
Leverage Support and Resistance Levels: Confirm breakouts, reversals, or consolidation zones with the color-coded areas.
Enhance Risk Management: Combine divergences and correction zones to set informed stop-loss or take-profit levels.
Trading Toolkit empowers traders with actionable insights into market trends, corrections, and support/resistance dynamics, making it an invaluable tool for crypto and forex markets.
EMA/SMA + Multi-Timeframe Dashboard (Vertical)20/50 ema and 200 sma
The EMA SMA Trading Indicator combines the power of Exponential Moving Averages (EMA) and Simple Moving Averages (SMA) to help traders identify trends, reversals, and key entry/exit points.
Features:
Dual Moving Averages: Tracks both EMA and SMA to provide a balanced view of short-term and long-term market trends.
Customizable Periods: Allows users to set unique periods for EMA and SMA to suit their trading style and timeframe (e.g., day trading, swing trading, or investing).
Cross Alerts: Highlights EMA and SMA crossover points, which often indicate potential buy or sell signals.
Color-Coded Lines: Visual differentiation between EMA (dynamic and responsive) and SMA (smooth and lagging) for better readability.
Multi-Timeframe Compatibility: Suitable for scalping, intraday trading, and long-term analysis.
Usage:
Trend Confirmation: When the EMA is above the SMA, it signals a bullish trend; when it is below the SMA, it signals a bearish trend.
Crossover Strategy: Use crossovers as potential buy (EMA crosses above SMA) or sell (EMA crosses below SMA) signals.
Dynamic Support/Resistance: EMA can act as short-term support/resistance, while SMA represents long-term levels.
This indicator is perfect for traders who want to combine EMA's speed with SMA's stability for improved decision-making in volatile markets. Customizable alerts and visual cues make it user-friendly for beginners and experienced traders.
Make informed decisions and take your trading to the next level with the EMA SMA Trading Indicator!
WD Gann: Close Price X Bars Ago with Line or Candle PlotThis indicator is inspired by the principles of WD Gann, a legendary trader known for his groundbreaking methods in time and price analysis. It helps traders track the close price of a security from X bars ago, a technique that is often used to identify key price levels in relation to past price movements. This concept is essential for Gannโs market theories, which emphasize the relationship between time and price.
WD Gannโs analysis often revolved around specific numbers that he considered significant, many of which correspond to squared numbers (e.g., 1, 4, 9, 16, 25, 36, 49, 64, 81, 100, 121, 144, 169, 196, 225, 256, 289, 324, 361, 400, 441, 484, 529, 576, 625, 676, 729, 784, 841, 900, 961, 1024, 1089, 1156, 1225, 1296, 1369, 1444, 1521, 1600, 1681, 1764, 1849, 1936). These numbers are believed to represent natural rhythms and cycles in the market. This indicator can help you explore how past price levels align with these significant numbers, potentially revealing key price zones that could act as support, resistance, or reversal points.
Key Features:
- Historical Close Price Calculation: The indicator calculates and displays the close price of a security from X bars ago (where X is customizable). This method aligns with Gann's focus on price relationships over specific time intervals, providing traders with valuable reference points to assess market conditions.
- Customizable Plot Type: You can choose between two plot types for visualizing the historical close price:
- Line Plot: A simple line that represents the close price from X bars ago, ideal for those who prefer a clean and continuous representation.
- Candle Plot: Displays the close price as a candlestick chart, providing a more detailed view with open, high, low, and close prices from X bars ago.
- Candle Color Coding: For the candle plot type, the script color-codes the candles. Green candles appear when the close price from X bars ago is higher than the open price, indicating bullish sentiment; red candles appear when the close is lower, indicating bearish sentiment. This color coding gives a quick visual cue to market sentiment.
- Customizable Number of Bars: You can adjust the number of bars (X) to look back, providing flexibility for analyzing different timeframes. Whether you're conducting short-term or long-term analysis, this input can be fine-tuned to suit your trading strategy.
- Gann Method Application: WD Gann's methods involved analyzing price action over specific time periods to predict future movements. This indicator offers traders a way to assess how the price of a security has behaved in the past in relation to a chosen time interval, a critical concept in Gann's theories.
How to Use:
1. Input Settings:
- Number of Bars (X): Choose the number of bars to look back (e.g., 100, 200, or any custom period).
- Plot Type: Select whether to display the data as a Line or Candles.
2. Interpretation:
- Using the Line plot, observe how the close price from X bars ago compares to the current market price.
- Using the Candles plot, analyze the full price action of the chosen bar from X bars ago, noting how the close price relates to the open, high, and low of that bar.
3. Gann Analysis: Integrate this indicator into your broader Gann-based analysis. By looking at past price levels and their relationship to significant squared numbers, traders can uncover potential key levels of support and resistance or even potential reversal points. The historical close price can act as a benchmark for predicting future market movements.
Suggestions on WD Gann's Emphasis in Trading:
WD Gannโs trading methods were rooted in several key principles that emphasized the relationship between time and price. These principles are vital to understanding how the "Close Price X Bars Ago" indicator fits into his overall analysis:
1. Time Cycles: Gann believed that markets move in cyclical patterns. By studying price levels from specific time intervals, traders can spot these cycles and predict future market behavior. This indicator allows you to see how the close price from X bars ago relates to current market conditions, helping to spot cyclical highs and lows.
2. Price and Time Squaring: A core concept in Gannโs theory is that certain price levels and time periods align, often marking significant reversal points. The squared numbers (e.g., 1, 4, 9, 16, 25, etc.) serve as potential key levels where price and time might "square" to create support or resistance. This indicator helps traders spot these historical price levels and their potential relevance to future price action.
3. Geometric Angles: Gann used angles (like the 45-degree angle) to predict market movements, with the belief that prices move at specific geometric angles over time. This indicator gives traders a reference for past price levels, which could align with key angles, helping traders predict future price movement based on Gann's geometry.
4. Numerology and Key Intervals: Gann paid particular attention to numbers that held significance, including squared numbers and numbers related to the Fibonacci sequence. This indicator allows traders to analyze price levels based on these key numbers, which can help in identifying potential turning points in the market.
5. Support and Resistance Levels: Gannโs methods often involved identifying levels of support and resistance based on past price action. By tracking the close price from X bars ago, traders can identify past support and resistance levels that may become significant again in future market conditions.
Perfect for:
Traders using WD Gannโs methods, such as Gann angles, time cycles, and price theory.
Analysts who focus on historical price levels to predict future price action.
Those who rely on numerology and geometric principles in their trading strategies.
By integrating this indicator into your trading strategy, you gain a powerful tool for analyzing market cycles and price movements in relation to key time intervals. The ability to track and compare the historical close price to significant numbersโlike Gannโs squared numbersโcan provide valuable insights into potential support, resistance, and reversal points.
Disclaimer:
This indicator is based on the methods and principles of WD Gann and is for educational purposes only. It is not intended as financial advice. Trading involves significant risk, and you should not trade with money that you cannot afford to lose. Past performance is not indicative of future results. The use of this indicator is at your own discretion and risk. Always do your own research and consider consulting a licensed financial advisor before making any investment decisions.
Day High/Low and Horizontal Lines with Custom Increments How It Works:
Day High and Day Low: The indicator tracks and displays the highest and lowest prices of the current trading day. These values are updated dynamically throughout the day.
Custom Horizontal Lines: The user specifies a starting price and an increment value. The indicator then plots multiple horizontal lines above and below the starting price, spaced at the given increment. Up to 15 lines can be drawn in both directions (above and below).
Alerts: Alerts are triggered when the price crosses any of the horizontal lines, helping traders monitor potential breakouts or reversals.
Use Case:
This indicator is useful for traders who want to:
Track the Day High/Low: Easily reference the high and low of the current day as key price levels.
Monitor Key Price Levels: Draw and observe custom horizontal levels above and below a specific price, such as support/resistance levels or price targets.
Set Alerts: Receive notifications when the price crosses these key levels, helping identify potential breakout or breakdown points in the market.
Why Use This Indicator:
Day Trading: Traders can monitor the high and low of the current trading day to see if the price breaks through key levels.
Breakout Strategy: The custom horizontal lines provide reference points for potential breakout levels, with alerts helping traders act in real-time.
Support and Resistance: The plotted lines can represent predefined support or resistance levels, allowing traders to plan their entries and exits effectively.
The indicator gives a structured way to visualize price movements, highlight important price levels, and react quickly with alerts when the price crosses those levels.
Polygonal Pivot Bands [FXSMARTLAB]The Polygonal Pivot Bands highlights key price pivots, dynamic support and resistance levels, and recent price action on a trading chart. This indicator connects pivot highs and lows with a zigzag line, extends a real-time dashed line to the latest price point, and plots diagonal support/resistance levels that adapt to price movement. These elements together provide traders with a view of significant price zones and potential trend shifts.
Key Components of the Indicator
Pivots are calculated based on user-defined lengths, specifying how many bars on either side of a high or low are required to validate it as a pivot.
Adjustable left and right pivot lengths allow traders to control the sensitivity of pivot detection, with higher values resulting in fewer, more prominent pivots, and lower values increasing sensitivity to price changes.
Zigzag Line
The zigzag line connects consecutive pivot points, filtering out smaller fluctuations and emphasizing the broader direction of price movement.
Users can customize the line's color and thickness to match their preferences, helping them focus on larger trends and potential reversal points.
By linking pivot highs and lows, the zigzag pattern highlights the overall trend and potential points of reversal.
Real-Time Connector Line
A dashed line extends from the last confirmed pivot to the latest price point, providing a real-time, bar-by-bar update of the current price relative to the previous pivot.
This line does not project future price direction but maintains an up-to-date connection with the current price, showing the distance from the last pivot.
Its color and thickness are customizable for improved visibility on the chart.
Dynamic Support and Resistance Levels
The indicator plots dynamic support and resistanc e levels by connecting recent pivot highs and lows, resulting in lines that may appear diagonal rather than strictly horizontal.
These levels move in line with price action, adapting to the natural direction of trends, and offer visual cues where price may encounter support or resistance.
Colors and thickness of these lines can be set individually, allowing traders to adjust visibility according to their preferences.
Enabling these lines gives traders an ongoing reference for critical price boundaries that align more closely with the overall trend.
Heikin Line - TB365Heikin Line - An Enhanced Smoothed Heiken Ashi Overlay
Built on the foundation of TheBacktestGuyโs Smoothed Heiken Ashi indicator, Heikin Line takes trend analysis to the next level with versatile enhancements and adaptable settings.
This indicator offers selectable moving averages both before and after Heiken Ashi (HA) calculation, adding an additional layer of smoothness to traditional HA candles.
Key Features:
Trend Identification: Detects short and long-term trend directions with greater clarity.
Dynamic Support and Resistance: Not limited to a single line, Heikin Line creates a dynamic support/resistance zone, offering a visual โheightโ that adjusts with market shifts.
Trailing Stop: Effective as a trailing stop for enhanced risk management.
Trend Reversal Detection: Quickly identifies potential reversals when price crosses above or below the Heiken Ashi candle.
Improvements:
Trend Strength Visualization: Uses a cord-like appearance to reflect trend strength, making it easier to spot strong or weak trends.
Quick Reversal Detection: Enhanced responsiveness to detect rapid market reversals.
Easy Integration: Seamlessly combines with other indicators for a comprehensive trading setup.
With numerous moving average options, Heikin Line is adjustable to suit various market conditions and trading styles. Additionally, it leverages my TAExt library, so you can use it within your own strategies for added versatility.
VWMA Multiple TimeframesVWMA Multiple Timeframes Indicator
This TradingView indicator plots the Volume Weighted Moving Average (VWMA) across multiple timeframes on your chart. The VWMA is a type of moving average that gives more weight to periods with higher volume, making it a valuable tool for traders who want to incorporate volume into their technical analysis.
Features:
Multi-timeframe Analysis: This indicator calculates and plots the VWMA on five different timeframes:
Weekly (W)
Daily (D)
4 Hours (240 minutes)
1 Hour (60 minutes)
15 Minutes
Visual Representation: Each timeframe's VWMA is plotted with a different color, making it easy to distinguish between them on the chart:
Weekly VWMA: Gray
Daily VWMA: Blue
4 Hours VWMA: Red
1 Hour VWMA: Green
15 Minutes VWMA: Purple
How to Use:
Trend Identification: Use the VWMA to identify the direction of the trend on different timeframes. For example, if the VWMA is trending upwards on multiple timeframes, it indicates a strong upward trend.
Support and Resistance: The VWMA can act as dynamic support or resistance levels. Price bouncing off a VWMA line might indicate a continuation of the trend.
Volume Confirmation: The VWMA considers volume, making it useful for confirming the strength of price movements. High volume moves that cause the VWMA to change direction can be more significant than low volume moves.
This indicator is ideal for traders who use multi-timeframe analysis and want to incorporate volume into their trend and support/resistance identification. Feel free to customize the periods and timeframes to suit your trading style.
[MAD] Custom Session VWAP BandsOverview
This indicator helps visualize the Volume Weighted Average Price (VWAP) and its associated standard deviation bands over specified time periods, providing traders with a clear understanding of price trends, volatility, and potential support/resistance levels.
Inputs
Deviation
StDev mult 1: Multiplier for the first standard deviation band (Default: 1.0)
StDev mult 2: Multiplier for the second standard deviation band (Default: 2.0)
StDev mult 3: Multiplier for the third standard deviation band (Default: 3.0)
StDev mult 4: Multiplier for the fourth standard deviation band (Default: 4.0)
Line width: Width of the lines for the bands (Default: 2)
Custom Vwap session reset settings
Many different options are considered when a session is going to be reset.
Plot and Fill Options
Enable Fills: Enable/disable filling between bands.
Plot +4: Enable/disable plotting the +4 standard deviation band.
Plot +3: Enable/disable plotting the +3 standard deviation band.
Plot +2: Enable/disable plotting the +2 standard deviation band.
Plot +1: Enable/disable plotting the +1 standard deviation band.
Plot VWAP: Enable/disable plotting the VWAP line.
Plot -1: Enable/disable plotting the -1 standard deviation band.
Plot -2: Enable/disable plotting the -2 standard deviation band.
Plot -3: Enable/disable plotting the -3 standard deviation band.
Plot -4: Enable/disable plotting the -4 standard deviation band.
How to Use the Indicator
Adding the Indicator
Add the indicator to your chart through your trading platform's indicator menu.
Configuring the VWAP Reset
Specify reset intervals based on time, days of the week, or specific dates.
Adjust the time zone if necessary.
Customizing Standard Deviation Bands
Set the multipliers for the standard deviation bands.
Choose line width for better visualization.
Enabling Plots and Fills
Select which bands to display.
Enable or disable fills between the bands.
Practical Application of VWAP Bands
Understanding VWAP
VWAP is a trading benchmark that calculates the average price a security has traded at throughout the day based on volume and price. It is primarily used for intraday trading but can also offer insights during end-of-day reviews.
Using VWAP for Trading
Intraday Trading
Entry and Exit Points: VWAP can help identify optimal buy and sell points. Buy when the price is above VWAP and sell when it's below.
Support and Resistance: VWAP often acts as a dynamic support/resistance level. Prices tend to revert to VWAP, making it a crucial level for intraday traders.
Trend Confirmation
Uptrends and Downtrends: In an uptrend, the price will generally stay above VWAP. Conversely, in a downtrend, it will stay below. Use this to confirm market direction.
Combining with Other Indicators
Moving Averages and Bollinger Bands: Combining VWAP with these indicators can provide a more robust trading signal, confirming trends and potential reversals.
Setting Stop-Loss and Profit Targets
Conservative Stop Orders: Place stop orders at recent lows for pullback trades.
Profit Targets: Use daily highs or Fibonacci extension levels to set profit targets.
Strategies for Using VWAP
Pullback Strategy
Buy during pullbacks to VWAP in an uptrend, and sell during rallies to VWAP in a downtrend.
Breakout Strategy
Look for breakouts above/below VWAP after the market open to capitalize on new trends.
Momentum Trading
Use VWAP to confirm the strength of a trend. Buy when the price is consistently above VWAP and sell when it's consistently below.
Institutional Strategies
Institutional traders use VWAP to execute large orders without causing significant market impact, ensuring trades are made around the average price.
By incorporating these strategies, traders can better understand market dynamics, make informed trading decisions, and manage their risk effectively.
Some setup possibilities
[r380]Bear & Bull Pivot Signal Indicator_(Lite))Bear & Bull Pivot Signal Indicator
Overview:
The Bear & Bull Multi Pivot Signal Indicator is a comprehensive trading tool designed to identify potential market reversal points and trend changes. This indicator combines multiple technical analysis strategies such as RSI, MACD, and pivot points to generate reliable signals. By overlapping these signals, the indicator increases the possibility of accurate trend predictions, providing traders with valuable insights for informed decision-making.
"This indicator is primarily optimized for Bitcoin on a 15-minute timeframe and is recommended for short-term trading. Reliability on other timeframes is not guaranteed."
Key Features:
Bear and Bull Signals: Clearly indicate potential market reversal points using bear and bull emojis.
Support and Resistance Signals: Indicated with sun and snowflake emojis to show critical price levels.
Overheat Cooldown Pivot: Detects market exhaustion points to signal potential reversals.
Settings:
RSI Settings: Adjust the RSI period and thresholds to match your trading strategy. Default values are optimized for short-term trading.
MACD Settings: The MACD settings are pre-configured but can be customized if needed.
Visual Settings: If excessive signals cause visual discomfort, you can selectively enable or disable features in the visual settings.
Signal Descriptions:
๐ป Bear Signal: Indicates a potential high point where the market may reverse downwards. Combines RSI and MACD conditions to provide a reliable overbought signal. When accompanied by high volume, it can indicate a strong resistance level.
๐ฎ Bull Signal: Indicates a potential low point where the market may reverse upwards. Uses both RSI and MACD conditions to highlight oversold situations. When accompanied by high volume, it can indicate a strong support level.
โ๏ธ Resistance Signal: Shows a resistance level where the price has difficulty moving higher. When the price crosses below this level, it signals a potential downward movement. Combined with high volume, it can signify robust resistance.
โ๏ธ Support Signal: Shows a support level where the price has difficulty moving lower. When the price crosses above this level, it signals a potential upward movement. Combined with high volume, it can signify strong support.
Detailed Explanation:
This indicator is not simply a combination of multiple indicators but is designed to increase the probability of detecting potential trend reversal signals by using multiple signals. If signals only appear when multiple conditions are met, how many trades can we make in a year? Because there is no 100% certainty in any situation, we need to use various signals to construct our strategy and proceed with trading. For example, if only one signal appears, the reliability of the trend reversal signal is somewhat weak, so we can strategize by betting only a portion of the capital. If multiple signals appear simultaneously, we can consider it a highly reliable trend reversal signal and increase the betting amount and stop loss accordingly. The essence of this indicator, in my view, is not to blindly trade based on signals but to use it as an auxiliary tool for strategic decision-making.
RSI (Relative Strength Index), MACD, and Stochastic RSI: By using various indicators to confirm trend reversal signals, bear and bull emojis are included. If the RSI reaches an oversold zone and then drops by a certain amount, while the MACD turns negative and the Stochastic RSI makes a gold or dead cross, the bear and bull signals are activated.
Pivot Points: Calculated based on the high, low, and close prices over a specific lookback period. These points are used to determine support and resistance levels. Pivot points provide a framework for assessing market sentiment and potential reversal zones. The values calculated this way activate the sun and snowflake signals.
The Overheat Cooldown Pivot: captures moments when the market shows signs of exhaustion, particularly when overbought or oversold conditions are accompanied by a drop in volume. This helps traders anticipate market turning points more effectively. These signals appear as red or green triangles indicating potential reversals. Although similar to the bear and bull signals in detecting market cool-off points, these signals rely on volume and may have slightly lower reliability.
Practical Application:
By using this indicator, traders can strategically adjust their bet sizes based on the reliability of the signals. When multiple signals coincide, it indicates a higher probability of a trend reversal, allowing for larger position sizes. Conversely, when signals occur independently, it suggests a lower probability, warranting smaller position sizes. This approach enables traders to manage their risk effectively and capitalize on high-probability trading opportunities without excessively reducing trading frequency.
Trading Method:
The basic setup is for Bitcoin on a 15-minute timeframe, and short-term trading is recommended by the creator. Upon signal activation, if only one signal appears, verify the volume and support/resistance lines, calculate the risk-reward ratio, and enter a position with a low betting ratio. If three signals activate simultaneously, enter a position with a higher betting ratio.
Reliability Order:
๐ป๐ฎ > โ๏ธโ๏ธ > ๐ป๐บ (replacing green triangle emojis)
This indicator provides a powerful method for detecting multiple potential market reversals and trend continuations.
Note: Have realistic expectations and understand the limitations of technical analysis tools. This indicator is a tool to assist in your trading decisions and not a guaranteed prediction of market movements.
Warning! Do not trade solely based on this indicator.
Additionally, if you find the settings lacking, feel free to adjust them yourself! Thank you!
Korean Version
๊ณฐ๋์ด์ ์ก์์ง ๋ฉํฐ ํผ๋ด ์๊ทธ๋ ์ธ๋์ผ์ดํฐ
๊ฐ์:
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ํฉ ๊ฑฐ๋ ๋๊ตฌ์
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๊ธฐ๋ณธ์ ์ผ๋ก ๋นํธ์ฝ์ธ 15๋ถ๋ด์ ๊ธฐ์ค์ผ๋ก ํ๋ฉฐ ๋งค๋งค ๋ฐฉ๋ฒ์ ๋จํ๋ฅผ ๊ถ์ฅํฉ๋๋ค. ๋ค๋ฅธ ํ์ํ๋ ์์์์ ์ ๋ขฐ๋ ๋ณด์ฅ ํ์ง ์์ต๋๋ค.
์ฃผ์ ๊ธฐ๋ฅ:
๊ณฐ๋์ด์ ์ก์์ง ์ ํธ: ์์ฅ์ ์ ์ฌ์ ๋ฐ์ ์ง์ ์ ๊ณฐ๋์ด์ ์ก์์ง ์ด๋ชจ์ง๋ก ๋ช
ํํ๊ฒ ํ์ํฉ๋๋ค.
์ง์ง ๋ฐ ์ ํญ ์ ํธ: ์ค์ํ ๊ฐ๊ฒฉ ์์ค์ ๋ํ๋ด๊ธฐ ์ํด ํ์๊ณผ ๋์ก์ด ์ด๋ชจ์ง๋ก ํ์ํฉ๋๋ค.
์ค๋ฒํํธ ์ฟจ๋ค์ด ํผ๋ด: ์์ฅ ํผ๋ก ์ง์ ์ ๊ฐ์งํ์ฌ ์ ์ฌ์ ๋ฐ์ ์ ํธ๋ฅผ ์ ๊ณตํฉ๋๋ค.
์ธํ
๋ฐฉ๋ฒ:
RSI ์ค์ : RSI ๊ธฐ๊ฐ๊ณผ ์๊ณ๊ฐ์ ์กฐ์ ํ์ฌ ์์ ์ ๊ฑฐ๋ ์ ๋ต์ ๋ง์ถฅ๋๋ค. ๊ธฐ๋ณธ๊ฐ์ ๋จ๊ธฐ ๊ฑฐ๋์ ์ต์ ํ๋์ด ์์ต๋๋ค.
MACD ์ค์ : MACD ์ค์ ์ ๋ฏธ๋ฆฌ ๊ตฌ์ฑ๋์ด ์์ผ๋ฉฐ, ํ์์ ๋ฐ๋ผ ์ฌ์ฉ์ ์ ์๊ฐ ๊ฐ๋ฅํฉ๋๋ค.
๋น์ฅฌ์ผ ์ธํ
: ๊ณผ๋ํ ์๊ทธ๋ ๋๋ฌธ์ ๋์ด ์ํ์๋ค๋ฉด ๋น์ฅฌ์ผ์ธํ
์์ ์ ํ์ ์ผ๋ก ๊ธฐ๋ฅ๋ค์ ์ผ๊ฑฐ๋ ๋ ์ ์์ผ๋ ์ฐธ๊ณ ํ์ธ์.
์ ํธ ์ค๋ช
:
๐ป ๊ณฐ๋์ด ์ ํธ: ์์ฅ์ด ํ๋ฝํ ๊ฐ๋ฅ์ฑ์ด ์๋ ๊ณ ์ ์ ๋ํ๋
๋๋ค. RSI์ MACD ์กฐ๊ฑด์ ๊ฒฐํฉํ์ฌ ์ ๋ขฐํ ์ ์๋ ๊ณผ๋งค์ ์ ํธ๋ฅผ ์ ๊ณตํฉ๋๋ค. ๋์ ๊ฑฐ๋๋๊ณผ ํจ๊ป ๋ํ๋๋ฉด ๊ฐํ ์ ํญ ์์ค์ ๋ํ๋ผ ์ ์์ต๋๋ค.
๐ฎ ์ก์์ง ์ ํธ: ์์ฅ์ด ์์นํ ๊ฐ๋ฅ์ฑ์ด ์๋ ์ ์ ์ ๋ํ๋
๋๋ค. RSI์ MACD ์กฐ๊ฑด์ ์ฌ์ฉํ์ฌ ๊ณผ๋งค๋ ์ํฉ์ ๊ฐ์กฐํฉ๋๋ค. ๋์ ๊ฑฐ๋๋๊ณผ ํจ๊ป ๋ํ๋๋ฉด ๊ฐํ ์ง์ง ์์ค์ ๋ํ๋ผ ์ ์์ต๋๋ค.
โ๏ธ ์ ํญ ์ ํธ: ๊ฐ๊ฒฉ์ด ๋ ์ด์ ์์นํ๊ธฐ ์ด๋ ค์ด ์ ํญ ์์ค์ ๋ํ๋
๋๋ค. ๊ฐ๊ฒฉ์ด ์ด ์์ค ์๋๋ก ํ๋ฝํ๋ฉด ์ ์ฌ์ ํ๋ฝ ์์ง์์ ์ ํธํฉ๋๋ค. ๋์ ๊ฑฐ๋๋๊ณผ ํจ๊ป ๋ํ๋๋ฉด ๊ฐ๋ ฅํ ์ ํญ์ ์๋ฏธํ ์ ์์ต๋๋ค.
โ๏ธ ์ง์ง ์ ํธ: ๊ฐ๊ฒฉ์ด ๋ ์ด์ ํ๋ฝํ๊ธฐ ์ด๋ ค์ด ์ง์ง ์์ค์ ๋ํ๋
๋๋ค. ๊ฐ๊ฒฉ์ด ์ด ์์ค ์๋ก ์์นํ๋ฉด ์ ์ฌ์ ์์น ์์ง์์ ์ ํธํฉ๋๋ค. ๋์ ๊ฑฐ๋๋๊ณผ ํจ๊ป ๋ํ๋๋ฉด ๊ฐํ ์ง์ง๋ฅผ ์๋ฏธํ ์ ์์ต๋๋ค.
์์ธ ์ค๋ช
:
์ด ์ธ๋์ผ์ดํฐ๋ ์ฌ๋ฌ ์ธ๋์ผ์ดํฐ๋ฅผ ๋จ์ํ ๊ฒฐํฉํ ๊ฒ์ด ์๋๋ผ, ์ฌ๋ฌ๊ฐ์ง ์๊ทธ๋๋ค์ ์ฌ์ฉํด์ ์ ์ฌ์ ์ถ์ธ์ ํ ์ ํธ ๊ฐ์ง ํ๋ฅ ์ ๋์ด๋ ๊ฒ์ ๋ชฉ์ ์ด ์์ต๋๋ค. ๋จ์ํ ์ฌ๋ฌ๊ฐ์ง ์กฐ๊ฑด๋ค์ด ์ค์ฒฉ๋์์๋๋ง ์ ํธ๊ฐ ๋ฌ๋ค๋ฉด ์ฐ๋ฆฌ๋ 1๋
์ ๋ช๋ฒ์ด๋ ๋งค๋งค๋ฅผ ํ ์ ์์๊น์. ๋ชจ๋ ๊ฒฝ์ฐ์ 100% ๋ผ๋ ๊ฒฝ์ฐ๊ฐ ์๊ธฐ๋๋ฌธ์ ์ฐ๋ฆฌ๋ ๋ค์ํ ์ ํธ๋ค์ ํ์ฉํ์ฌ ์ ๋ต์ ๊ตฌ์ฑํ๊ณ ๋งค๋งค๋ฅผ ์งํ ํด์ผํฉ๋๋ค. ์๋ฅผ๋ค์ด 1๊ฐ์ ์๊ทธ๋๋ง ๋ฌ๋ค๋ฉด ์ถ์ธ์ ํ ์ ํธ์ ์ ๋ขฐ๋๊ฐ ๋ค์ ์ฝํ๊ธฐ ๋๋ฌธ์ ์๋์ ์ผ๋ถ ๊ธ์ก๋ง ๋ฐฐํ
ํ๋ ์์ผ๋ก ์ ๋ต์ ๊ตฌ์ฑ ํ ์๋ ์๊ณ , ๋ง์ฝ ์ฌ๋ฌ๊ฐ์ง ์๊ทธ๋๋ค์ด ์ถฉ์ ์ ์ผ๋ก ๋ฌ๋ค๋ฉด ์ ๋ขฐ๋ ๋์ ์ถ์ธ์ ํ์ ์ ํธ๋ก ์ธ์ํ์ฌ ๋ฐฐํ
๊ธ์ก์ ๋์ด๊ณ ์คํ๋ก์ค๋ฅผ ๋๊ฒ ์ก๋ ๋ฐฉํฅ์ผ๋ก ์ ๋ต์ ๊ตฌ์ฑ ํ ์ ์์ต๋๋ค. ๋จ์ํ ๋งน๋ชฉ์ ์ผ๋ก ์๊ทธ๋์ด ๋ณ๋ค๊ณ ๋งค๋งคํ๋๊ฒ์ด ์๋ ๋ณด์กฐ ์ ํธ๋ก์จ์ ๊ธฐ๋ฅ, ์ด๊ฒ์ด ๋ด๊ฐ ์๊ฐํ๋ ์ธ๋์ผ์ดํฐ์ ์ญํ ์ด์ ๋ณธ์ง ์ด๋ผ๊ณ ์๊ฐํฉ๋๋ค.
RSI (์๋ ๊ฐ๋ ์ง์)์ MACD, ์คํ ์บ์คํฑ RSI: ์ฌ๋ฌ๊ฐ์ง ์งํ๋ค์ ๊ธฐ๋ฐ์ผ๋ก ์ถ์ธ ๋ฐ์ ์ ์ ํธ๋ฅผ ํ์ธ ํ ์ ์๋ ๊ณฐ๋์ด์ ์ก์์ง๋ฅผ ๋ฃ์์ต๋๋ค. RSI ๊ฐ ๊ณผ๋งค๋ ๊ตฌ๊ฐ์ ๋๋ฌํ ์ดํ์ผ์ ์์น ์ด์ ํ๋ฝํ๋ ๋์์ MACD๊ฐ ์์๋ก ๋ณํ๊ณ ์คํ ์บ์คํฑ RSI๊ฐ ๊ณจ๋, ๋ฐ๋ ํฌ๋ก์ค๊ฐ ๋๋ค๋ฉด ๊ณฐ๋์ด์ ์ก์์ง ์ ํธ๊ฐ ํ์ฑํ ๋ฉ๋๋ค.
ํผ๋ด ํฌ์ธํธ: ํน์ ๋๋์๋ณด๊ธฐ ๊ธฐ๊ฐ ๋์์ ์ต๊ณ , ์ต์ , ์ข
๊ฐ๋ฅผ ๊ธฐ๋ฐ์ผ๋ก ๊ณ์ฐ๋ฉ๋๋ค. ์ด ํฌ์ธํธ๋ ์ง์ง ๋ฐ ์ ํญ ์์ค์ ๊ฒฐ์ ํ๋ ๋ฐ ์ฌ์ฉ๋ฉ๋๋ค. ํผ๋ด ํฌ์ธํธ๋ ์์ฅ ์ฌ๋ฆฌ์ ์ ์ฌ์ ๋ฐ์ ์์ญ์ ํ๊ฐํ๋ ํ๋ ์์ํฌ๋ฅผ ์ ๊ณตํฉ๋๋ค. ์ด๋ ๊ฒ ๊ณ์ฐ๋ ๊ฐ์ ๊ธฐ๋ฐ์ผ๋ก ๋์ก์ด์ ํด ์ ํธ๊ฐ ํ์ฑํ ๋ฉ๋๋ค.
์ค๋ฒํํธ ์ฟจ๋ค์ด ํผ๋ด: ๋ ๊ณผ๋งค์ ๋๋ ๊ณผ๋งค๋ ์ํ์์ ๊ฑฐ๋๋์ด ๊ฐ์ํ ๋ ์์ฅ ํผ๋ก ์ง์ ์ ํฌ์ฐฉํ์ฌ ์ ์ฌ์ ๋ฐ์ ์ง์ ์ ์ ํธํฉ๋๋ค. ์ด๋ฌํ ํผ๋ก ์ง์ ์ ์๋ณํจ์ผ๋ก์จ ์ธ๋์ผ์ดํฐ๋ ํธ๋ ์ด๋๊ฐ ์์ฅ์ ์ ํ์ ์ ๋ณด๋ค ํจ๊ณผ์ ์ผ๋ก ์์ธกํ ์ ์๋๋ก ๋์ต๋๋ค. ๊ทธ๋ ๊ฒ ์ถ์ธ ๋ฐ์ ์ ์ ํธ๋ก ๋
น์ ๋๋ ๋ถ์์ ์ผ๊ฐํ ์๊ทธ๋์ด ๋น๋๋ค. ๊ณผ์ด๋ ์์ฅ์ด ๋๊ฐ๋๋ ํฌ์ธํธ๋ฅผ ์ฐพ๋์ ์์๋ ๊ณฐ๋์ด ์ก์์ง ์ ํธ์ ๋น์ทํ์ง๋ง ๊ฑฐ๋๋์ ๊ธฐ๋ฐ์ผ๋ก ํ๊ณ ์๊ธฐ ๋๋ฌธ์ ๋ช
๋ฐฑํ ๋ค๋ฅธ ์๊ทธ๋์ด๋ฉฐ ์ ๋ขฐ๋๋ ์ฝ๊ฐ ๋ฎ์ ์๋ ์์ต๋๋ค
์ค์ฉ์ ์ ์ฉ:
์ด ์ธ๋์ผ์ดํฐ๋ฅผ ์ฌ์ฉํจ์ผ๋ก์จ, ํธ๋ ์ด๋๋ ์ ํธ์ ์ ๋ขฐ๋์ ๋ฐ๋ผ ๋ฒ ํ
ํฌ๊ธฐ๋ฅผ ์ ๋ต์ ์ผ๋ก ์กฐ์ ํ ์ ์์ต๋๋ค. ์ฌ๋ฌ ์ ํธ๊ฐ ๋์์ ๋ํ๋ ๋, ์ด๋ ์ถ์ธ ๋ฐ์ ์ ๊ฐ๋ฅ์ฑ์ด ๋์์ ๋ํ๋ด๋ฉฐ, ๋ ํฐ ํฌ์ง์
ํฌ๊ธฐ๋ฅผ ํ์ฉํฉ๋๋ค. ๋ฐ๋๋ก, ์ ํธ๊ฐ ๋
๋ฆฝ์ ์ผ๋ก ๋ฐ์ํ ๋๋ ๋ฎ์ ๊ฐ๋ฅ์ฑ์ ๋ํ๋ด๋ฏ๋ก ์์ ํฌ์ง์
ํฌ๊ธฐ๊ฐ ์ ํฉํฉ๋๋ค. ์ด ์ ๊ทผ ๋ฐฉ์์ ํธ๋ ์ด๋๊ฐ ํจ๊ณผ์ ์ผ๋ก ๋ฆฌ์คํฌ๋ฅผ ๊ด๋ฆฌํ๊ณ ๋์ ํ๋ฅ ์ ๊ฑฐ๋ ๊ธฐํ๋ฅผ ํ์ฉํ๋ฉด์ ๊ฑฐ๋ ๋น๋๋ฅผ ๊ณผ๋ํ๊ฒ ์ค์ด๋ ๊ฒ์ ๋ฐฉ์งํ ์ ์๊ฒ ํฉ๋๋ค.
๋งค๋งค๋ฐฉ๋ฒ:
๊ธฐ๋ณธ์ ์ธ ์ธํ
์ ๋นํธ์ฝ์ธ 15๋ถ ํ์ํ๋ ์์ด๋ฉฐ ์ ์์๋ ๋จํ๋ฅผ ์ถ์ฒํฉ๋๋ค. ํฌ์ง์
์ง์
์ ์๊ทธ๋์ด 1๊ฐ๊ฐ ๋ฌ๋ค๋ฉด ๊ฑฐ๋๋๊ณผ ์ง์ง์ ์ ํญ๋ผ์ธ์ ํ์ธํ๊ณ ์์ต๋น๋ฅผ ๊ณ์ฐํ ๋ฎ์ ๋ฐฐํ
๋น์จ๋ก ํฌ์ง์
์ ์ง์
ํฉ๋๋ค. ๋ง์ฝ์ 3๊ฐ์ ์๊ทธ๋์ด ๋์์ ํ์ฑํ ๋๋ค๋ฉด ๋ณด๋ค ๋์ ๋น์จ๋ก ํฌ์ง์
์ ์ง์
ํฉ๋๋ค.
์ ๋ขฐ๋ ์์:
]๐ป๐ฎ > โ๏ธโ๏ธ > ๐ป๐บ(์ด๋ก ์ผ๊ฐ์ด๋ชจ์ง๊ฐ ์๊ธฐ๋๋ฌธ์ ์ด๊ฒ์ผ๋ก ๋์ฒด)
์ด ์งํ๋ ์ฌ๋ฌ ์ ์ฌ์ ์ธ ์์ฅ ๋ฐ์ ๋ฐ ์ถ์ธ ์ง์์ฑ์ ๊ฐ์งํ๋ ๊ฐ๋ ฅํ ๋ฐฉ๋ฒ์ ์ ๊ณตํฉ๋๋ค.
์ฐธ๊ณ : ํ์ค์ ์ธ ๊ธฐ๋๋ฅผ ๊ฐ์ง๊ณ ๊ธฐ์ ๋ถ์ ๋๊ตฌ์ ํ๊ณ๋ฅผ ์ดํดํ์ญ์์ค. ์ด ์งํ๋ ์์ฅ ์์ง์์ ๋ณด์ฅํ๋ ์์ธก์ด ์๋๋ผ ๊ฑฐ๋ ๊ฒฐ์ ์ ๋๊ธฐ ์ํ ๋๊ตฌ์
๋๋ค.
๊ฒฝ๊ณ ! ์ ๋ ์ด ์งํ๋ง์ ๊ฐ์ง๊ณ ๋งค๋งคํ์ง ๋ง์ญ์ผ.
์ถ๊ฐ์ ์ผ๋ก ์ ์์๋ ์งํ ์ธํ
์ ํ์ ์ด๋ผ ๊ผฌ์ฐ๋ฉด ๋น์ ์ด ์ธํ
ํ์ญ์ผ! ๊ฐ์ฌํฉ๋๋ค!
TrendLine Toolkit w/ Breaks (Real-Time)The TrendLine Toolkit script introduces an innovating capability by extending the conventional use of trendlines beyond price action to include oscillators and other technical indicators. This tool allows traders to automatically detect and display trendlines on any TradingView built-in oscillator or community-built script, offering a versatile approach to trend analysis. With breakout detection and real-time alerts, this script enhances the way traders interpret trends in various indicators.
๐ฒ Methodology
Trendlines are a fundamental tool in technical analysis used to identify and visualize the direction and strength of a price trend. They are drawn by connecting two or more significant points on a price chart, typically the highs or lows of consecutive price movements (pivots).
Drawing Trendlines:
Uptrend Line - Connects a series of higher lows. It signals an upward price trend.
Downtrend Line - Connects a series of lower highs. It indicates a downward price trend.
Support and Resistance:
Support Line - A trendline drawn under rising prices, indicating a level where buying interest is historically strong.
Resistance Line - A trendline drawn above falling prices, showing a level where selling interest historically prevails.
Identification of Trends:
Uptrend - Prices making higher highs and higher lows.
Downtrend - Prices making lower highs and lower lows.
Sideways (or Range-bound) - Prices moving within a horizontal range.
A trendline helps confirm the existence and direction of a trend, providing guidance in aligning with the prevailing market sentiment. Additionally, they are usually paired with breakout analysis, a breakout occurs when the price breaches a trendline. This signals a potential change in trend direction or an acceleration of the existing trend.
The script adapts this methodology to oscillators and other indicators. Instead of relying on price pivots, which can only be detected in retrospect, the script utilizes a trailing stop on the oscillator to identify potential swings in real-time, you may find more info about it here (SuperTrend toolkit) . We detect swings or pivots simply by testing for crosses between the indicator and its trailing stop.
type oscillator
float o = Oscillator Value
float s = Trailing Stop Value
oscillator osc = oscillator.new()
bool l = ta.crossunder(osc.o, osc.s) => Utilized as a formed high
bool h = ta.crossover (osc.o, osc.s) => Utilized as a formed low
This approach enables the algorithm to detect trendlines between consecutive pivot highs or lows on the oscillator itself, providing a dynamic and immediate representation of trend dynamics.
๐ฒ Breakout Detection
The script goes beyond trendline creation by incorporating breakout detection directly within the oscillator. After identifying a trendline, the algorithm continuously monitors the oscillator for potential breakouts, signaling shifts in market sentiment.
๐ฒ Setup Guide
A simple example on one of my public scripts, Z-Score Heikin-Ashi Transformed
๐ฒ Settings
Source - Choose an oscillator source of which to base the Toolkit on.
Zeroing - The Mid-Line value of the oscillator, for example RSI & MFI use 50.
Sensitivity - Calibrates the Sensitivity of which TrendLines are detected, higher values result in more detections.
๐ฒ Alerts
Bearish TrendLine
Bullish TrendLine
Bearish Breakout
Bullish Breakout
As well as the option to trigger 'any alert' call.
By integrating trendline analysis into oscillators, this Toolkit enhances the capabilities of technical analysis, bringing a dynamic and comprehensive approach to identifying trends, support/resistance levels, and breakout signals across various indicators.
VWAP, MFI, RSI with S/R StrategyBest for 0dte/intraday trading on AMEX:SPY with 1 minute chart
Strategy Concept
This strategy aims to identify potential reversal points in a price trend by combining momentum indicators (RSI and MFI), volume-weighted price (VWAP), and recent price action trends. It looks for conditions where the price is poised to change direction, either bouncing off a support level in a potential uptrend or falling from a resistance level in a potential downtrend.
By incorporating both price level analysis (support/resistance) and momentum indicators, the strategy seeks to increase the likelihood of identifying significant trend reversals, taking into consideration both recent price movements and the current price's position relative to historical highs and lows.
VWAP (Volume-Weighted Average Price)
VWAP acts as a benchmark to determine the general market trend. It's an average price weighted by volume.
A price above VWAP is often considered bullish, and a price below VWAP is seen as bearish.
MFI (Money Flow Index) and RSI (Relative Strength Index) Parameters
MFI is a volume-weighted RSI, used to identify overbought (above 70) or oversold (below 30) conditions.
RSI is a momentum indicator that measures the magnitude of recent price changes to identify overbought or oversold conditions, similar to MFI.
The script uses standard overbought (70) and oversold (30) thresholds for both MFI and RSI.
Trend Check Function
The function trendCheck analyzes the past pastBars candles to count how many were bullish (closing price higher than the opening price) and bearish.
This function is used to assess the recent trend direction.
Support and Resistance Detection
The script calculates the highest high (highestHigh) and lowest low (lowestLow) over the last lookbackSR (50) periods to identify potential support and resistance levels.
isNearSupport and isNearResistance are conditions to check if the current price is within 0.08% of these identified levels, indicating proximity to support or resistance.
Buy and Sell Logic
Buy Signal:
The RSI crosses over the oversold threshold (30).
The MFI is also below its oversold level (30).
The current price is above the VWAP.
The recent trend (past 20 bars) has been predominantly bearish.
The price is near the identified support level.
Sell Signal:
The RSI crosses under the overbought threshold (70).
The MFI is above its overbought level (70).
The current price is below the VWAP.
The recent trend has been predominantly bullish.
The price is near the identified resistance level.
