Kalman Ema Crosses - [JTCAPITAL]Kalman EMA Crosses - is a modified way to use Kalman Filters applied on Exponential Moving Averages (EMA Crosses) for Trend-Following.
The Kalman filter is a recursive smoothing algorithm that reduces noise from raw price or indicator data, and in this script it is applied both directly to price and on top of EMA calculations. The goal is to create cleaner, more reliable crossover signals between two EMAs that are less prone to false triggers caused by volatility or market noise.
The indicator works by calculating in the following steps:
Source Selection
The script starts by selecting the price input (default is Close, but can be adjusted). This chosen source is the foundation for all further smoothing and EMA calculations.
Kalman Filtering on Price
Depending on user settings, the selected source is passed through one of two independent Kalman filters. The filter takes into account process noise (representing expected market randomness) and measurement noise (representing uncertainty in the price data). The Kalman filter outputs a smoothed version of price that minimizes noise and preserves underlying trend structure.
EMA Calculation
Two exponential moving averages (EMA 1 and EMA 2) are then computed on the Kalman-smoothed price. The lengths of these EMAs are fully customizable (default 15 and 25).
Kalman Filtering on EMA Values
Instead of directly using raw EMA curves, the script applies a second layer of Kalman filtering to the EMA values themselves. This step significantly reduces whipsaw behavior, creating smoother crossovers that emphasize real momentum shifts rather than temporary volatility spikes.
Trend Detection via EMA Crossovers
-A bullish trend is detected when EMA 1 (fast) crosses above EMA 2 (slow).
-A bearish trend is detected when EMA 1 crosses below EMA 2.
The detected trend state is stored and used to dynamically color the plots.
Visual Representation
Both EMAs are plotted on the chart. Their colors shift to blue during bullish phases and purple during bearish phases. The area between the two EMAs is filled with a shaded region to clearly highlight trending conditions.
Buy and Sell Conditions :
- Buy Condition : When the Kalman-smoothed EMA 1 crosses above the Kalman-smoothed EMA 2, a bullish crossover is confirmed.
- Sell Condition : When EMA 1 crosses below EMA 2, a bearish crossover is confirmed.
Users may enhance the robustness of these signals by adjusting process noise, measurement noise, or EMA lengths. Lower measurement noise values make the filter react faster (but potentially noisier), while higher values make it smoother (but slower).
Features and Parameters :
- Source : Selectable price input (Close, Open, High, Low, etc.).
- EMA 1 Length : Defines the fast EMA period.
- EMA 2 Length : Defines the slow EMA period.
- Process Noise : Controls how much randomness the Kalman filter assumes in price dynamics.
- Measurement Noise : Controls how much uncertainty is assumed in raw input data.
- Kalman Usage : Option to apply Kalman filtering either before EMA calculation (on price) or after (on EMA values).
Specifications :
Kalman Filter
The Kalman filter is an optimal recursive algorithm that estimates the state of a system from noisy measurements. In trading, it is used to smooth prices or indicator values. By balancing process noise (expected volatility) with measurement noise (data uncertainty), it generates a smoothed signal that reacts adaptively to market conditions.
Exponential Moving Average (EMA)
An EMA is a weighted moving average that emphasizes recent data more heavily than older data. This makes it more responsive than a simple moving average (SMA). EMAs are widely used to identify trends and momentum shifts.
EMA Crossovers
The crossing of a fast EMA above a slow EMA suggests bullish momentum, while the opposite suggests bearish momentum. This is a cornerstone technique in trend-following systems.
Dual Kalman Filtering
Applying Kalman both to raw price and to the EMAs themselves reduces whipsaws further. It creates crossover signals that are not only smoothed but also validated across two levels of noise reduction. This significantly enhances signal reliability compared to traditional EMA crossovers.
Process Noise
Represents the filter’s assumption about how much the underlying market can randomly change between steps. Higher values make the filter adapt faster to sudden changes, while lower values make it more stable.
Measurement Noise
Represents uncertainty in price data. A higher measurement noise value means the filter trusts the model more than the observed data, leading to smoother results. A lower value makes the filter more reactive to observed price fluctuations.
Trend Coloring & Fill
The use of dynamic colors and filled regions provides immediate visual recognition of trend states, helping traders act faster and with greater clarity.
Enjoy!
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Multi SMA AnalyzerMulti SMA Analyzer with Custom SMA Table & Advanced Session Logic
A feature-rich SMA analysis suite for traders, offering up to 7 configurable SMAs, in-depth trend detection, real-time table, and true session-aware calculations.
Ideal for those who want to combine intraday, swing, and higher-timeframe trend analysis with maximum chart flexibility.
Key Features
📊 Multi-SMA Overlay
- 7 SMAs (default: 5, 20, 50, 100, 200, 21, 34)—individually configurable (period, source, color, line style)
- Show/hide each SMA, custom line style (solid, stepline, circles), and color logic
- Dynamic color: full opacity above SMA, reduced when below
⏰ Session-Aware SMAs
- Each SMA can be calculated using only user-defined session hours/days/timezone
- “Ignore extended hours” option for accurate intraday trend
📋 Smart Data Table
- Live SMA values, % distance from price, and directional arrows (↑/↓/→)
- Bull/Bear/Sideways trend classification
- Custom table position, size, colors, transparency
- Table can run on chart or custom (higher) timeframe for multi-TF analysis
🎯 Golden/Death Cross Detection
- Flexible crossover engine: select any two from (5, 10, 20, 50, 100, 200) for fast/slow SMA cross signals
- Plots icons (★ Golden, 💀 Death), optional crossover labels with custom size/colors
🏷️ SMA Labels
- Optional on-chart SMA period labels
- Custom placement (above/below/on line), size, color, offset
🚨 Signal & Trend Engine
- Bull/Bear/Sideways logic: price vs. multiple SMAs (not just one pair)
- Volume spike detection (2x 20-period SMA)
- Bullish engulfing candlestick detection
- All signals can use chart or custom table timeframe
🎨 Visual Customization
- Dynamic background color (Bull: green, Bear: red, Neutral: gray)
- Every visual aspect is customizable: label/table colors, transparency, size, position
🔔 Built-in Alerts
- Crossovers (SMA20/50, Golden/Death)
- Bull trend, volume spikes, engulfing pattern—all alert-ready
How It Works
- Session Filtering:
- SMAs can be set to count only bars from your chosen market session, for true intraday/trading-hour signals
Dynamic Table & Signals:
- Table and all signal logic run on your selected chart or custom timeframe
Flexible Crossover:
- Choose any pair (5, 10, 20, 50, 100, 200) for cross detection—SMA 10 is available for crossover even if not shown as an SMA line
Everything is modular:
- Toggle features, set visuals, and alerts to your workflow
🚨 How to Use Alerts
- All key signals (crossovers, trend shifts, volume spikes, engulfing patterns) are available as alert conditions.
To enable:
- Click the “Alerts” (clock) icon at the top of TradingView.
- Select your desired signal (e.g., “Golden Cross”) from the condition dropdown.
- Set your alert preferences and create the alert.
- Now, you’ll get notified automatically whenever a signal occurs!
Perfect For
- Multi-timeframe and swing traders seeking higher timeframe SMA confirmation
- Intraday traders who want to ignore pre/post-market data
- Anyone wanting a modern, powerful, fully customizable multi-SMA overlay
// P.S: Experiment with Golden Cross where Fast SMA is 5 and Slow SMA is 20.
// Set custom timeframe for 4 hr while monitoring your chart on 15 min time frame.
// Enable Background Color and Use Table Timeframe for Background.
// Uncheck Pine labels in Style tab.
Clean, open-source, and loaded with pro features—enjoy!
Like, share, and let me know if you'd like any new features added.
HEMA Trend Levels [AlgoAlpha]OVERVIEW
This script plots two Hull-EMA (HEMA) curves to define a color-coded dynamic trend zone and generate context-aware breakout levels, allowing traders to easily visualize prevailing momentum and identify high-probability breakout retests. The script blends smoothed price tracking with conditional box plotting, delivering both trend-following and mean-reversion signals within one system. It is designed to be simple to read visually while offering nuanced trend shifts and test confirmations.
█ CONCEPTS
The Hull-EMA (HEMA) is a hybrid moving average combining the responsiveness of short EMAs with the smoothness of longer ones. It applies layered smoothing: first by subtracting a full EMA from a half-length EMA (doubling the short EMA's weight), and then by smoothing the result again with the square root of the original length. This process reduces lag while maintaining clarity in direction changes. In this script, two HEMAs—fast and slow—are used to define the trend structure and trigger events when they cross. These crossovers generate "trend shift boxes"—temporary support or resistance zones drawn immediately after trend transitions—to detect price retests in the new direction. When price cleanly retests these levels, the script marks them as confirmations with triangle symbols, helping traders isolate better continuation setups. Color-coded bars further enhance visual interpretation: bullish bars when price is above both HEMAs, bearish when below, and neutral (gray) when indecisive.
█ FEATURES
Bullish and bearish bar coloring based on price and HEMA alignment.
Box plotting at each crossover (bullish or bearish) to create short-term decision zones.
Real-time test detection: price must cleanly test and bounce from box levels to be considered valid.
Multiple alert conditions: crossover alerts, test alerts, and trend continuation alerts.
█ USAGE
Use this indicator on any time frame and asset. Adjust HEMA lengths to match your trading style—shorter lengths for scalping or intraday, longer for swing trading. The shaded area between HEMAs helps visually define the current trend. Watch for crossovers: a bullish crossover plots a green support box just below price, and a bearish one plots a red resistance box just above. These zones act as short-term decision points. When price returns to test a box and confirms with strong rejection (e.g., closes above for bullish or below for bearish), a triangle symbol is plotted. These tests can signal strong trend continuation. For traders looking for clean entries, combining the crossover with a successful retest improves reliability. Alerts can be enabled for all key signals: trend shift, test confirmations, and continuation conditions, making it suitable for automated setups or discretionary traders tracking multiple charts.
Absolute Strength Index [ASI] (Zeiierman)█ Overview
The Absolute Strength Index (ASI) is a next-generation oscillator designed to measure the strength and direction of price movements by leveraging percentile-based normalization of historical returns. Developed by Zeiierman, this indicator offers a highly visual and intuitive approach to identifying market conditions, trend strength, and divergence opportunities.
By dynamically scaling price returns into a bounded oscillator (-10 to +10), the ASI helps traders spot overbought/oversold conditions, trend reversals, and momentum changes with enhanced precision. It also incorporates advanced features like divergence detection and adaptive signal smoothing for versatile trading applications.
█ How It Works
The ASI's core calculation methodology revolves around analyzing historical price returns, classifying them into top and bottom percentiles, and normalizing the current price movement within this framework. Here's a breakdown of its key components:
⚪ Returns Lookback
The ASI evaluates historical price returns over a user-defined period (Returns Lookback) to measure recent price behavior. This lookback window determines the sensitivity of the oscillator:
Shorter Lookback: Higher responsiveness to recent price movements, suitable for scalping or high-volatility assets.
Longer Lookback: Smoother oscillator behavior is ideal for identifying larger trends and avoiding false signals.
⚪ Percentile-Based Thresholds
The ASI categorizes returns into two groups:
Top Percentile (Winners): The upper X% of returns, representing the strongest upward price moves.
Bottom Percentile (Losers): The lower X% of returns, capturing the sharpest downward movements.
This percentile-based normalization ensures the ASI adapts to market conditions, filtering noise and emphasizing significant price changes.
⚪ Oscillator Normalization
The ASI normalizes current returns relative to the top and bottom thresholds:
Values range from -10 to +10, where:
+10 represents extreme bullish strength (above the top percentile threshold).
-10 indicates extreme bearish weakness (below the bottom percentile threshold).
⚪ Signal Line Smoothing
A signal line is optionally applied to the ASI using a variety of moving averages:
Options: SMA, EMA, WMA, RMA, or HMA.
Effect: Smooths the ASI to filter out noise, with shorter lengths offering higher responsiveness and longer lengths providing stability.
⚪ Divergence Detection
One of ASI's standout features is its ability to detect and highlight bullish and bearish divergences:
Bullish Divergence: The ASI forms higher lows while the price forms lower lows, signaling potential upward reversals.
Bearish Divergence: The ASI forms lower highs while the price forms higher highs, indicating potential downward reversals.
█ Key Differences from RSI
Dynamic Adaptability: ASI adjusts to market conditions through percentile-based scaling, while RSI uses static thresholds.
█ How to Use ASI
⚪ Trend Identification
Bullish Strength: ASI above zero suggests upward momentum, suitable for trend-following trades.
Bearish Weakness: ASI below zero signals downward momentum, ideal for short trades or exits from long positions.
⚪ Overbought/Oversold Levels
Overbought Zone: ASI in the +8 to +10 range indicates potential exhaustion of bullish momentum.
Oversold Zone: ASI in the -8 to -10 range points to potential reversal opportunities.
⚪ Divergence Signals
Look for bullish or bearish divergence labels to anticipate trend reversals before they occur.
⚪ Signal Line Crossovers
A crossover between the ASI and its signal line (e.g., EMA or SMA) can indicate a shift in momentum:
Bullish Crossover: ASI crosses above the signal line, signaling potential upside.
Bearish Crossover: ASI crosses below the signal line, suggesting downside momentum.
█ Settings Explained
⚪ Absolute Strength Index
Returns Lookback: Sets the sensitivity of the oscillator. Shorter periods detect short-term changes, while longer periods focus on broader trends.
Top/Bottom Percentiles: Adjust thresholds for defining winners and losers. Narrower percentiles increase sensitivity to outliers.
Signal Line Type: Choose from SMA, EMA, WMA, RMA, or HMA for smoothing.
Signal Line Length: Fine-tune the responsiveness of the signal line.
⚪ Divergence
Divergence Lookback: Adjusts the period for detecting divergence. Use longer lookbacks to reduce noise.
-----------------
Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
best indicator at 15 minut This Pine Script code builds an indicator called EMA Crossover with Historical Price Projection that combines two components:
EMA Crossover Strategy:
EMA 9 and EMA 21: The script calculates two exponential moving averages (EMAs) using the ta.ema() function. The crossover between these EMAs generates buy/sell signals.
A bullish crossover (when EMA 9 crosses above EMA 21) signals a buy.
A bearish crossover (when EMA 9 crosses below EMA 21) signals a sell.
These buy/sell signals are visualized on the chart using the plotshape() function with green and red symbols.
Historical Price Projection:
The code projects future prices based on historical price trends. It takes into account growth factors (user-defined drift percentages) to estimate future prices.
Projection Line: It draws a projection line from the anchor point (set by the user) using historical data. The drift factor allows you to control the projection's slope.
Forecasting Area: It shows an optional area around the projected price, adjusting the width with a user-defined growth factor for the forecast's uncertainty.
Key Sections:
Inputs:
User-defined inputs for controlling the growth factor, line styles, and forecasting area settings.
An anchoring point is provided to determine from which bar the price projection should start.
EMA Crossover:
The crossover conditions for EMA 9 and EMA 21 are defined, and the script generates buy and sell signals at those crossovers.
Historical Price Projection:
It stores the percentage changes between bars in barDeltaPercents.
It projects the future price based on these percentages and the user-defined drift factor.
The projected price is visualized using polyline.new(), and a shaded area can be added to show the range of price possibilities.
Execution Logic:
The script runs when the current time is greater than the anchor point.
If the anchor point is too far back in history, it gives a warning via the showInfoPanel function.
As new bars are confirmed, the drift is calculated, and the projection line and area are updated based on historical price changes.
Overall Flow:
It gathers price data up to 500 bars from the anchor point.
Based on the historical price trend, it forecasts the future price with a projection line and an optional shaded area.
The crossover logic for EMA 9 and 21 provides actionable signals on when to buy or sell.
Intersection Value FunctionsWinning entry for the first Pinefest contest. The challenge required providing three functions returning the intersection value between two series source1 and source2 in the event of a cross, crossunder, and crossover.
Feel free to use the code however you like.
🔶 CHALLENGE FUNCTIONS
🔹 crossValue()
//@function Finds intersection value of 2 lines/values if any cross occurs - First function of challenge -> crossValue(source1, source2)
//@param source1 (float) source value 1
//@param source2 (float) source value 2
//@returns Intersection value
example:
value = crossValue(close, close )
🔹 crossoverValue()
//@function Finds intersection value of 2 lines/values if crossover occurs - Second function of challenge -> crossoverValue(source1, source2)
//@param source1 (float) source value 1
//@param source2 (float) source value 2
//@returns Intersection value
example:
value = crossoverValue(close, close )
🔹 crossunderValue()
//@function Finds intersect of 2 lines/values if crossunder occurs - Third function of challenge -> crossunderValue(source1, source2)
//@param source1 (float) source value 1
//@param source2 (float) source value 2
//@returns Intersection value
example:
value = crossunderValue(close, close )
🔶 DETAILS
A series of values can be displayed as a series of points, where the point location highlights its value, however, it is more common to connect each point with a line to have a continuous aspect.
A line is a geometrical object connecting two points, each having y and x coordinates. A line has a slope controlling its steepness and an intercept indicating where the line crosses an axis. With these elements, we can describe a line as follows:
slope × x + intercept
A cross between two series of values occurs when one series is greater or lower than the other while its previous value isn't.
We are interested in finding the "intersection value", that is the value where two crossing lines are equal. This problem can be approached via linear interpolation.
A simple and direct approach to finding our intersection value is to find the common scaling factor of the slopes of the lines, that is the multiplicative factor that multiplies both lines slopes such that the resulting points are equal.
Given:
A = Point A1 + m1 × scaling_factor
B = Point B1 + m2 × scaling_factor
where scaling_factor is the common scaling factor, and m1 and m2 the slopes:
m1 = Point A2 - Point A1
m2 = Point B2 - Point B1
In our cases, since the horizontal distance between two points is simply 1, our lines slopes are equal to their vertical distance (rise).
Under the event of a cross, there exists a scaling_factor satisfying A = B , which allows us to directly compute our intersection value. The solution is given by:
scaling_factor = (B1 - A1)/(m1 - m2)
As such our intersection value can be given by the following equivalent calculations:
(1) A1 + m1 × (B1 - A1)/(m1 - m2)
(2) B1 + m2 × (B1 - A1)/(m1 - m2)
(3) A2 - m2 × (A2 - B2)/(m1 - m2)
(4) B2 - m2 × (A2 - B2)/(m1 - m2)
The proposed functions use the third calculation.
This approach is equivalent to expressions using the classical line equation, with:
slope1 × x + intercept1 = slope2 × x + intercept2
By solving for x , the intersection point is obtained by evaluating any of the line equations for the obtained x solution.
🔶 APPLICATIONS
The intersection point of two crossing lines might lead to interesting applications and creations, in this section various information/tools derived from the proposed calculations are presented.
This supplementary material is available within the script.
🔹 Intersections As Support/Resistances
The script allows extending the lines of the intersection value when a cross is detected, these extended lines could have applications as support/resistance lines.
🔹 Using The Scaling Factor
The core of the proposed calculation method is the common scaling factor, which can be used to return useful information, such as the position of the cross relative to the x coordinates of a line.
The above image highlights two moving averages (in green and red), the cross-interval areas are highlighted in blue, and the intersection point is highlighted as a blue line.
The pane below shows a bar plot displaying:
1 - scaling factor = 1 -
Values closer to 1 indicate that the cross location is closer to x2 (the right coordinate of the lines), while values closer to 0 indicate that the cross location is closer to x1 .
🔹 Intersection Matrix
The main proposed functions of this challenge focus on the crossings between two series of values, however, we might be interested in applying this over a collection of series.
We can see in the image above how the lines connecting two points intersect with each other, we can construct a matrix populated with the intersection value of two corresponding lines. If (X, Y) represents the intersection value between lines X and Y we have the following matrix:
| Line A | Line B | Line C | Line D |
-------|--------|--------|--------|--------|
Line A | | (A, B) | (A, C) | (A, D) |
Line B | (B, A) | | (B, C) | (B, D) |
Line C | (C, A) | (C, B) | | (C, D) |
Line D | (D, A) | (D, B) | (D, C) | |
We can see that the upper triangular part of this matrix is redundant, which is why the script does not compute it. This function is provided in the script as intersectionMatrix :
//@function Return the N * N intersection matrix from an array of values
//@param array_series (array) array of values, requires an array supporting historical referencing
//@returns (matrix) Intersection matrix showing intersection values between all array entries
In the script, we create an intersection matrix from an array containing the outputs of simple moving averages with a period in a specific user set range and can highlight if a simple moving average of a certain period crosses with another moving average with a different period, as well as the intersection value.
🔹 Magnification Glass
Crosses on a chart can be quite small and might require zooming in significantly to see a detailed picture of them. Using the obtained scaling factor allows reconstructing crossing events with an higher resolution.
A simple supplementary zoomIn function is provided to this effect:
//@function Display an higher resolution representation of intersecting lines
//@param source1 (float) source value 1
//@param source2 (float) source value 2
//@param css1 (color) color of source 1 line
//@param css2 (color) color of source 2 line
//@param intersec_css (color) color of intersection line
//@param area_css (color) color of box area
Users can obtain a higher resolution by modifying the provided "Resolution" setting.
The function returns a higher resolution representation of the most recent crosses between two input series, the intersection value is also provided.
Extreme Pressure Zones Indicator (EPZ) [BullByte]Extreme Pressure Zones Indicator(EPZ)
The Extreme Pressure Zones (EPZ) Indicator is a proprietary market analysis tool designed to highlight potential overbought and oversold "pressure zones" in any financial chart. It does this by combining several unique measurements of price action and volume into a single, bounded oscillator (0–100). Unlike simple momentum or volatility indicators, EPZ captures multiple facets of market pressure: price rejection, trend momentum, supply/demand imbalance, and institutional (smart money) flow. This is not a random mashup of generic indicators; each component was chosen and weighted to reveal extreme market conditions that often precede reversals or strong continuations.
What it is?
EPZ estimates buying/selling pressure and highlights potential extreme zones with a single, bounded 0–100 oscillator built from four normalized components. Context-aware weighting adapts to volatility, trendiness, and relative volume. Visual tools include adaptive thresholds, confirmed-on-close extremes, divergence, an MTF dashboard, and optional gradient candles.
Purpose and originality (not a mashup)
Purpose: Identify when pressure is building or reaching potential extremes while filtering noise across regimes and symbols.
Originality: EPZ integrates price rejection, momentum cascade, pressure distribution, and smart money flow into one bounded scale with context-aware weighting. It is not a cosmetic mashup of public indicators.
Why a trader might use EPZ
EPZ provides a multi-dimensional gauge of market extremes that standalone indicators may miss. Traders might use it to:
Spot Reversals: When EPZ enters an "Extreme High" zone (high red), it implies selling pressure might soon dominate. This can hint at a topside reversal or at least a pause in rallies. Conversely, "Extreme Low" (green) can highlight bottom-fish opportunities. The indicator's divergence module (optional) also finds hidden bullish/bearish divergences between price and EPZ, a clue that price momentum is weakening.
Measure Momentum Shifts: Because EPZ blends momentum and volume, it reacts faster than many single metrics. A rising MPO indicates building bullish pressure, while a falling MPO shows increasing bearish pressure. Traders can use this like a refined RSI: above 50 means bullish bias, below 50 means bearish bias, but with context provided by the thresholds.
Filter Trades: In trend-following systems, one could require EPZ to be in the bullish (green) zone before taking longs, or avoid new trades when EPZ is extreme. In mean-reversion systems, one might specifically look to fade extremes flagged by EPZ.
Multi-Timeframe Confirmation: The dashboard can fetch a higher timeframe EPZ value. For example, you might trade a 15-minute chart only when the 60-minute EPZ agrees on pressure direction.
Components and how they're combined
Rejection (PRV) – Captures price rejection based on candle wicks and volume (see Price Rejection Volume).
Momentum Cascade (MCD) – Blends multiple momentum periods (3,5,8,13) into a normalized momentum score.
Pressure Distribution (PDI) – Measures net buy/sell pressure by comparing volume on up vs down candles.
Smart Money Flow (SMF) – An adaptation of money flow index that emphasizes unusual volume spikes.
Each of these components produces a 0–100 value (higher means more bullish pressure). They are then weighted and averaged into the final Market Pressure Oscillator (MPO), which is smoothed and scaled. By combining these four views, EPZ stands out as a comprehensive pressure gauge – the whole is greater than the sum of parts
Context-aware weighting:
Higher volatility → more PRV weight
Trendiness up (RSI of ATR > 25) → more MCD weight
Relative volume > 1.2x → more PDI weight
SMF holds a stable weight
The weighted average is smoothed and scaled into MPO ∈ with 50 as the neutral midline.
What makes EPZ stand out
Four orthogonal inputs (price action, momentum, pressure, flow) unified in a single bounded oscillator with consistent thresholds.
Adaptive thresholds (optional) plus robust extreme detection that also triggers on crossovers, so static thresholds work reliably too.
Confirm Extremes on Bar Close (default ON): dots/arrows/labels/alerts print on closed bars to avoid repaint confusion.
Clean dashboard, divergence tools, pre-alerts, and optional on-price gradients. Visual 3D layering uses offsets for depth only,no lookahead.
Recommended markets and timeframes
Best: liquid symbols (index futures, large-cap equities, major FX, BTC/ETH).
Timeframes: 5–15m (more signals; consider higher thresholds), 1H–4H (balanced), 1D (clear regimes).
Use caution on illiquid or very low TFs where wick/volume geometry is erratic.
Logic and thresholds
MPO ∈ ; 50 = neutral. Above 50 = bullish pressure; below 50 = bearish.
Static thresholds (defaults): thrHigh = 70, thrLow = 30; warning bands 5 pts inside extremes (65/35).
Adaptive thresholds (optional):
thrHigh = min(BaseHigh + 5, mean(MPO,100) + stdev(MPO,100) × ExtremeSensitivity)
thrLow = max(BaseLow − 5, mean(MPO,100) − stdev(MPO,100) × ExtremeSensitivity)
Extreme detection
High: MPO ≥ thrHigh with peak/slope or crossover filter.
Low: MPO ≤ thrLow with trough/slope or crossover filter.
Cooldown: 5 bars (default). A new extreme will not print until the cooldown elapses, even if MPO re-enters the zone.
Confirmation
"Confirm Extremes on Bar Close" (default ON) gates extreme markers, pre-alerts, and alerts to closed bars (non-repainting).
Divergences
Pivot-based bullish/bearish divergence; tags appear only after left/right bars elapse (lookbackPivot).
MTF
HTF MPO retrieved with lookahead_off; values can update intrabar and finalize at HTF close. This is disclosed and expected.
Inputs and defaults (key ones)
Core: Sensitivity=1.0; Analysis Period=14; Smoothing=3; Adaptive Thresholds=OFF.
Extremes: Base High=70, Base Low=30; Extreme Sensitivity=1.5; Confirm Extremes on Bar Close=ON; Cooldown=5; Dot size Small/Tiny.
Visuals: Heatmap ON; 3D depth optional; Strength bars ON; Pre-alerts OFF; Divergences ON with tags ON; Gradient candles OFF; Glow ON.
Dashboard: ON; Position=Top Right; Size=Normal; MTF ON; HTF=60m; compact overlay table on price chart.
Advanced caps: Max Oscillator Labels=80; Max Extreme Guide Lines=80; Divergence objects=60.
Dashboard: what each element means
Header: EPZ ANALYSIS.
Large readout: Current MPO; color reflects state (extreme, approaching, or neutral).
Status badge: "Extreme High/Low", "Approaching High/Low", "Bullish/Neutral/Bearish".
HTF cell (when MTF ON): Higher-timeframe MPO, color-coded vs extremes; updates intrabar, settles at HTF close.
Predicted (when MTF OFF): Simple MPO extrapolation using momentum/acceleration—illustrative only.
Thresholds: Current thrHigh/thrLow (static or adaptive).
Components: ASCII bars + values for PRV, MCD, PDI, SMF.
Market metrics: Volume Ratio (x) and ATR% of price.
Strength: Bar indicator of |MPO − 50| × 2.
Confidence: Heuristic gauge (100 in extremes, 70 in warnings, 50 with divergence, else |MPO − 50|). Convenience only, not probability.
How to read the oscillator
MPO Value (0–100): A reading of 50 is neutral. Values above ~55 are increasingly bullish (green), while below ~45 are increasingly bearish (red). Think of these as "market pressure".
Extreme Zones: When MPO climbs into the bright orange/red area (above the base-high line, default 70), the chart will display a dot and downward arrow marking that extreme. Traders often treat this as a sign to tighten stops or look for shorts. Similarly, a bright green dot/up-arrow appears when MPO falls below the base-low (30), hinting at a bullish setup.
Heatmap/Candles: If "Pressure Heatmap" is enabled, the background of the oscillator pane will fade green or red depending on MPO. Users can optionally color the price candles by MPO value (gradient candles) to see these extremes on the main chart.
Prediction Zone(optional): A dashed projection line extends the MPO forward by a small number of bars (prediction_bars) using current MPO momentum and acceleration. This is a heuristic extrapolation best used for short horizons (1–5 bars) to anticipate whether MPO may touch a warning or extreme zone. It is provisional and becomes less reliable with longer projection lengths — always confirm predicted moves with bar-close MPO and HTF context before acting.
Divergences: When price makes a higher high but EPZ makes a lower high (bearish divergence), the indicator can draw dotted lines and a "Bear Div" tag. The opposite (lower low price, higher EPZ) gives "Bull Div". These signals confirm waning momentum at extremes.
Zones: Warning bands near extremes; Extreme zones beyond thresholds.
Crossovers: MPO rising through 35 suggests easing downside pressure; falling through 65 suggests waning upside pressure.
Dots/arrows: Extreme markers appear on closed bars when confirmation is ON and respect the 5-bar cooldown.
Pre-alert dots (optional): Proximity cues in warning zones; also gated to bar close when confirmation is ON.
Histogram: Distance from neutral (50); highlights strengthening or weakening pressure.
Divergence tags: "Bear Div" = higher price high with lower MPO high; "Bull Div" = lower price low with higher MPO low.
Pressure Heatmap : Layered gradient background that visually highlights pressure strength across the MPO scale; adjustable intensity and optional zone overlays (warning / extreme) for quick visual scanning.
A typical reading: If the oscillator is rising from neutral towards the high zone (green→orange→red), the chart may see strong buying culminating in a stall. If it then turns down from the extreme, that peak EPZ dot signals sell pressure.
Alerts
EPZ: Extreme Context — fires on confirmed extremes (respects cooldown).
EPZ: Approaching Threshold — fires in warning zones if no extreme.
EPZ: Divergence — fires on confirmed pivot divergences.
Tip: Set alerts to "Once per bar close" to align with confirmation and avoid intrabar repaint.
Practical usage ideas
Trend continuation: In positive regimes (MPO > 50 and rising), pullbacks holding above 50 often precede continuation; mirror for bearish regimes.
Exhaustion caution: E High/E Low can mark exhaustion risk; many wait for MPO rollover or divergence to time fades or partial exits.
Adaptive thresholds: Useful on assets with shifting volatility regimes to maintain meaningful "extreme" levels.
MTF alignment: Prefer setups that agree with the HTF MPO to reduce countertrend noise.
Examples
Screenshots captured in TradingView Replay to freeze the bar at close so values don't fluctuate intrabar. These examples use default settings and are reproducible on the same bars; they are for illustration, not cherry-picking or performance claims.
Example 1 — BTCUSDT, 1h — E Low
MPO closed at 26.6 (below the 30 extreme), printing a confirmed E Low. HTF MPO is 26.6, so higher-timeframe pressure remains bearish. Components are subdued (Momentum/Pressure/Smart$ ≈ 29–37), with Vol Ratio ≈ 1.19x and ATR% ≈ 0.37%. A prior Bear Div flagged weakening impulse into the drop. With cooldown set to 5 bars, new extremes are rate-limited. Many traders wait for MPO to curl up and reclaim 35 or for a fresh Bull Div before considering countertrend ideas; if MPO cannot reclaim 35 and HTF stays weak, treat bounces cautiously. Educational illustration only.
Example 2 — ETHUSD, 30m — E High
A strong impulse pushed MPO into the extreme zone (≥ 70), printing a confirmed E High on close. Shortly after, MPO cooled to ~61.5 while a Bear Div appeared, showing momentum lag as price pushed a higher high. Volume and volatility were elevated (≈ 1.79x / 1.25%). With a 5-bar cooldown, additional extremes won't print immediately. Some treat E High as exhaustion risk—either waiting for MPO rollover under 65/50 to fade, or for a pullback that holds above 50 to re-join the trend if higher-timeframe pressure remains constructive. Educational illustration only.
Known limitations and caveats
The MPO line itself can change intrabar; extreme markers/alerts do not repaint when "Confirm Extremes on Bar Close" is ON.
HTF values settle at the close of the HTF bar.
Illiquid symbols or very low TFs can be noisy; consider higher thresholds or longer smoothing.
Prediction line (when enabled) is a visual extrapolation only.
For coders
Pine v6. MTF via request.security with lookahead_off.
Extremes include crossover triggers so static thresholds also yield E High/E Low.
Extreme markers and pre-alerts are gated by barstate.isconfirmed when confirmation is ON.
Arrays prune oldest objects to respect resource limits; defaults (80/80/60) are conservative for low TFs.
3D layering uses negative offsets purely for drawing depth (no lookahead).
Screenshot methodology:
To make labels legible and to demonstrate non-repainting behavior, the examples were captured in TradingView Replay with "Confirm Extremes on Bar Close" enabled. Replay is used only to freeze the bar at close so plots don't change intrabar. The examples use default settings, include both Extreme Low and Extreme High cases, and can be reproduced by scrolling to the same bars outside Replay. This is an educational illustration, not a performance claim.
Disclaimer
This script is for educational purposes only and does not constitute financial advice. Markets involve risk; past behavior does not guarantee future results. You are responsible for your own testing, risk management, and decisions.
Dual Adaptive Movings### Dual Adaptive Movings
By Gurjit Singh
A dual-layer adaptive moving average system that adjusts its responsiveness dynamically using market-derived factors (CMO, RSI, Fractal Roughness, or Stochastic Acceleration). It plots:
* Primary Adaptive MA (MA): Fast, reacts to changes in volatility/momentum.
* Following Adaptive MA (FAMA): A smoother, half-alpha version for trend confirmation.
Instead of fixed smoothing, it adapts dynamically using one of four methods:
* ACMO: Adaptive CMO (momentum)
* ARSI: Adaptive RSI (relative strength)
* FRMA: Fractal Roughness (volatility + fractal dimension)
* ASTA: Adaptive Stochastic Acceleration (%K acceleration)
### ⚙️ Inputs & Options
* Source: Price input (default: close).
* Moving (Type): ACMO, ARSI, FRMA, ASTA.
* MA Length (Primary): Core adaptive window.
* Following (FAMA) Length: Optional; can match MA length.
* Use Wilder’s: Toggles Wilder vs EMA-style smoothing.
* Colors & Fill: Bullish/Bearish tones with transparency control.
### 🔑 How to Use
1. Identify Trend:
* When MA > FAMA → Bullish (fills bullish color).
* When MA < FAMA → Bearish (fills bearish color).
2. Crossovers:
* MA crosses above FAMA → Bullish signal 🐂
* MA crosses below FAMA → Bearish signal 🐻
3. Adaptive Edge:
* Select method (ACMO/ARSI/FRMA/ASTA) depending on whether you want sensitivity to momentum, strength, volatility, or acceleration.
4. Alerts:
* Built-in alerts trigger on crossovers.
### 💡 Tips
* Wilder’s smoothing is gentler than EMA, reducing whipsaws in sideways conditions.
* ACMO and ARSI are best for momentum-driven directional markets, but may false-signal in ranges.
* FRMA and ASTA excels in choppy markets where volatility clusters.
👉 In short: Dual Adaptive Movings adapts moving averages to the market’s own behavior, smoothing noise yet staying responsive. Crossovers mark possible trend shifts, while color fills highlight bias.
Directional Movement Index (DMI) + AlertsThis is a Study with associated visual indicators and Bullish/Bearish Alerts for Directional Movement (DMI). It consists of an Average Directional Index (ADX), Plus Directional Indicator (+DI) and Minus Directional Indicator (-DI).
Published by J. Welles Wilder in 1978 for use with currencies and commodities which are typically more volatile than stocks and have stronger trends.
Development Notes
---------------------------
This indicator, and most of the descriptions below, were derived largely from the TradingView reference manual. Feedback and suggestions for improvement are more than welcome, as well are recommended Input settings and best practices for use.
tradingview.com/chart/?solution=43000502250
Strategy Description
---------------------------
ADX defines whether or not there is a trend present; +DI and -DI compliment the ADX by taking direction into account. An ADX above 25 indicates a strong trend, and a Bullish alert is subsequently triggered when +DI is above -DI and a Bearish alert when -DI is above +DI.
Note that the Bullish or Bearish crossover alert will only trigger if ADX is simultaneously above 25 during the crossover event. If ADX later rises to 25 and +DI is still greater than -DI, or -DI greater than +DI, then a delayed alert will not trigger by design.
Basic Use
---------------------------
Acceptable DMI values are up to the trader's interpretation and may change depending on the financial instrument being examined. Recommend not changing any default values without being first familiar with their purpose and impact on the indicator at large.
Confidence in price action and trend is higher when two or more indicators are in agreement -- therefore we recommend not using this indicator by itself to determine entry or exit trade opportunities.
Recommend also choosing 'Once Per Bar Close' when creating alerts.
Inputs
---------------------------
ADX Smoothing - the time period to be used in calculating the ADX which has a smoothing component (14 is the Default).
DI Length - the time period to be used in calculating the DI (14 is the Default).
Key Level - any trade with the ADX above the key level is a strong indicator that it is trending (23 to 25 is the suggested setting).
Sensitivity - an incremental variable to test whether the past n candles are in the same bullish or bearish state before triggering a delayed crossover alert (3 is the Default). Filter out some noise and reduces active alerts.
Show ADX Option - two visual styles are provided for user preference, a visible ADX line or a background overlay (green or red when ADX is above the key level, for bullish or bearish, and gray when below).
Color Candles - an option to transpose the bullish and bearish crossovers to the main candle bars. Can be turned off in the Style Tab by deselecting 'Bar Colors'. Dark blue is bullish, dark purple is bearish, and the black inner color is neutral. Note that the outer red and green border will still be distinguished by whether each individual candle is bearish or bullish during the specified timeframe.
Indicator Visuals
---------------------------
Bullish or Bearish plot based on DMI strategy (ADX and +/-DI values).
Visual cues are intended to improve analysis and decrease interpretation time during trading, as well as to aid in understanding the purpose of this study and how its inclusion can benefit a comprehensive trading strategy.
Trend Strength
---------------------------
To analyze trend strength, the focus should be on the ADX line and not the +DI or -DI lines. An ADX reading above 25 indicates a strong trend, while a reading below 20 indicates a weak or non-existent trend. A reading between those two values would be considered indeterminable. Though what is truly a strong trend or a weak trend depends on the financial instrument being examined; historical analysis can assist in determining appropriate values.
Bullish DI Cross
---------------------------
1. ADX must be over 25 (strong trend) (value is determined by the trader)
2. +DI cross above -DI
3. Set Stop Loss at the current day's low (any +DI cross-backs below -DI should be ignored)
4. Set trailing stop if ADX strengthens (i.e., signal rises)
Bearish DI Cross
---------------------------
1. ADX must be over 25 (strong trend) (value is determined by the trader)
2. -DI cross above +DI
3. Set Stop Loss at the current day's high (any -DI cross-backs below +DI should be ignored)
4. Set trailing stop if ADX strengthens (i.e., signal rises)
Disclaimer
---------------------------
This post and the script are not intended to provide any financial advice. Trade at your own risk.
No known repainting.
Version 1.1
-------------------------
- Added multi-timeframe resolution using PineCoders secure security function to eliminate repainting.
- Cleaned up option for selecting ADX view; and added a colored line as a choice, based on same bullish, bearish, or neutral colors as the background.
- Added exit crossover indicator to aid in an overall strategy development. This ability pairs better with my CHOP Zone Entry Strategy which relies on DMI Exits. Note that exit conditions don't employ the sensitivity variable. Green labels are for Bullish exits and red are for Bearish.
-- Exit condition is triggered if in an active Bullish or Bearish position and ADX drops below 25, Or if either the -DI crosses above +DI (for previously Bullish) or +DI crosses above -DI (for previously Bearish).
- Added reverse position determination. Triggers when a Bullish entry occurs on the same candle as a Bearish exit, or vice versa. Green labels are for Bullish reverses and red are for Bearish.
- Added selectable option to choose visible labels -- Bearish, Bullish, Both, Exits, Reverses, or All.
-- Note that a reverse label will only show if the opposing entry and exit labels are set to show, otherwise the reverse will revert to the appropriate entry or exit on the chart.
- Added alerts to account for new conditions.
-- Note that alerts for crossovers, exits, and reverses will only be triggered if the associated labels are selected to be shown (i.e., what you choose to see on the chart is what you will be alerted to).
Version 1.2
-------------------------
- Changed exit condition to be decided on by whether ADX is below 25 and on a +/-DI crossover. Versus being either or. The previous version had too many false triggers. This variety can now show multiple Bullish or Bearish alerts before an Exit condition too. I'm tempted to simply make this condition based on ADX, and not DI … thoughts? See lines 138 and 139.
- Updated the Background view to have deeper shades of colors dependent upon the ADX trend strength.
- Added an Oscillator view for the ADX and momentum computations to color the histogram by trend. DI lines are hidden.
-- If ADX is Bullish, then the oscillator is colored light green in an uptrend and dark green in a downtrend; if Bearish, then its light red in an uptrend and dark redin a downtrend; if adx is below key level, then it is light gray in a downtrend and dark grey in the uptrend.
- Added option to Hide ADX in case only the Directional lines are desired. This could be useful if you would like to have the ADX oscillator in one panel and +/-DI crossovers in another.
- Added a Columnar view for the ADX. DI lines are hidden. This view is really simple and compact, with the trend strength still easily understood. Colors are the same as for the oscillator -- the deeper the shade of green or red, then the higher the ADX trend strength level.
- Added a Trend Strength label.
ADX Trend Strength Trade (Y/N) Setup Types
0 to 10 = Barely Breathing N N/A
10 to 20 = Weak Trend Y Range/Pre-Breakout
20 to 30 = Potentially Starting to Trend Y Early Stage Trend
30 to 50 = Strong Trend Y Ride the Wave
50 to 75 = Very Strong Trend N Exhaustion
75 to 100 = Extremely Strong Trend N N/A
Version 1.3
-------------------------
Updated to Pine Script v5 to resolve errors from the deprecated v4 version.
This is a reissue of a previously published script that was hidden due to a v4 compatibility issue.
'https://www.tradingview.com/script/9OoEHrv5-Directional-Movement-Index-DMI-Alerts/'
BTC Trend Momentum (BTM) with VWMOBTC Trend Momentum (BTM) with VWMO – A Smarter Way to Trade Bitcoin 🚀
Overview
Bitcoin price movements can be volatile, often leading to fake breakouts and whipsaws that mislead traders. BTC Trend Momentum (BTM), combined with Volume Weighted Moving Average (VWMO), helps smooth out market noise and provide clearer trend signals.
This script integrates momentum analysis, trend strength detection, and zero-line crossovers, allowing traders to make smarter entries and exits while avoiding false signals.
⸻
Why Use This Indicator?
✅ Momentum Histogram – Easily visualize trend strength with color-coded bars.
✅ Volume-Weighted Analysis – Uses VWMO to filter out weak price movements.
✅ Zero Line Crossover Alerts – Identifies major trend shifts in real-time.
✅ Dynamic Color Coding – Stronger trends highlighted in brighter colors.
✅ Background Shading – Differentiates bullish & bearish zones for easy trend reading.
✅ Built-in Alerts – Get notified of trade opportunities instantly.
⸻
How to Trade Using BTC Trend Momentum (BTM)
🔹 Buy Signal: When the momentum histogram (green bars) crosses above the EMA (orange line).
🔹 Sell Signal: When the momentum histogram (red bars) crosses below the EMA.
🔹 Strong Trend Confirmation: If histogram bars turn lime (bullish) or maroon (bearish), it indicates strong momentum.
🔹 Zero Line Crossovers: A bullish crossover above zero confirms an uptrend, while a bearish crossover below zero confirms a downtrend.
For better results, combine with RSI, MACD, or VWAP to confirm trend strength before entering trades.
⸻
Best Timeframes for Trading
📌 1H & 4H – Ideal for swing trading Bitcoin.
📌 5M & 15M – Perfect for scalping BTC with precision.
⸻
💡 Would you integrate BTC Trend Momentum (BTM) into your trading strategy? Let us know your thoughts below!
ATR Bands with ATR Cross + InfoTableOverview
This Pine Script™ indicator is designed to enhance traders' ability to analyze market volatility, trend direction, and position sizing directly on their TradingView charts. By plotting Average True Range (ATR) bands anchored at the OHLC4 price, displaying crossover labels, and providing a comprehensive information table, this tool offers a multifaceted approach to technical analysis.
Key Features:
ATR Bands Anchored at OHLC4: Visual representation of short-term and long-term volatility bands centered around the average price.
OHLC4 Dotted Line: A dotted line representing the average of Open, High, Low, and Close prices.
ATR Cross Labels: Visual cues indicating when short-term volatility exceeds long-term volatility and vice versa.
Information Table: Displays real-time data on market volatility, calculated position size based on risk parameters, and trend direction relative to the 20-period Smoothed Moving Average (SMMA).
Purpose
The primary purpose of this indicator is to:
Assess Market Volatility: By comparing short-term and long-term ATR values, traders can gauge the current volatility environment.
Determine Optimal Position Sizing: A calculated position size based on user-defined risk parameters helps in effective risk management.
Identify Trend Direction: Comparing the current price to the 20-period SMMA assists in determining the prevailing market trend.
Enhance Decision-Making: Visual cues and real-time data enable traders to make informed trading decisions with greater confidence.
How It Works
1. ATR Bands Anchored at OHLC4
Average True Range (ATR) Calculations
Short-Term ATR (SA): Calculated over a 9-period using ta.atr(9).
Long-Term ATR (LA): Calculated over a 21-period using ta.atr(21).
Plotting the Bands
OHLC4 Dotted Line: Plotted using small circles to simulate a dotted line due to Pine Script limitations.
ATR(9) Bands: Plotted in blue with semi-transparent shading.
ATR(21) Bands: Plotted in orange with semi-transparent shading.
Overlap: Bands can overlap, providing visual insights into changes in volatility.
2. ATR Cross Labels
Crossover Detection:
SA > LA: Indicates increasing short-term volatility.
Detected using ta.crossover(SA, LA).
A green upward label "SA>LA" is plotted below the bar.
SA < LA: Indicates decreasing short-term volatility.
Detected using ta.crossunder(SA, LA).
A red downward label "SA LA, then the market is considered volatile.
Display: Shows "Yes" or "No" based on the comparison.
b. Position Size Calculation
Risk Total Amount: User-defined input representing the total capital at risk.
Risk per 1 Stock: User-defined input representing the risk associated with one unit of the asset.
Purpose: Helps traders determine the appropriate position size based on their risk tolerance and current market volatility.
c. Is Price > 20 SMMA?
SMMA Calculation:
Calculated using a 20-period Smoothed Moving Average with ta.rma(close, 20).
Logic: If the current close price is above the SMMA, the trend is considered upward.
Display: Shows "Yes" or "No" based on the comparison.
How to Use
Step 1: Add the Indicator to Your Chart
Copy the Script: Copy the entire Pine Script code into the TradingView Pine Editor.
Save and Apply: Save the script and click "Add to Chart."
Step 2: Configure Inputs
Risk Parameters: Adjust the "Risk Total Amount" and "Risk per 1 Stock" in the indicator settings to match your personal risk management strategy.
Step 3: Interpret the Visuals
ATR Bands
Width of Bands: Wider bands indicate higher volatility; narrower bands indicate lower volatility.
Band Overlap: Pay attention to areas where the blue and orange bands diverge or converge.
OHLC4 Dotted Line
Serves as a central reference point for the ATR bands.
Helps visualize the average price around which volatility is measured.
ATR Cross Labels
"SA>LA" Label:
Indicates short-term volatility is increasing relative to long-term volatility.
May signal potential breakout or trend acceleration.
"SA 20 SMMA?
Use this to confirm trend direction before entering or exiting trades.
Practical Example
Imagine you are analyzing a stock and notice the following:
ATR(9) Crosses Above ATR(21):
A green "SA>LA" label appears.
The info table shows "Yes" for "Is ATR-based price volatile."
Position Size:
Based on your risk parameters, the position size is calculated.
Price Above 20 SMMA:
The info table shows "Yes" for "Is price > 20 SMMA."
Interpretation:
The market is experiencing increasing short-term volatility.
The trend is upward, as the price is above the 20 SMMA.
You may consider entering a long position, using the calculated position size to manage risk.
Customization
Colors and Transparency:
Adjust the colors of the bands and labels to suit your preferences.
Risk Parameters:
Modify the default values for risk amounts in the inputs.
Moving Average Period:
Change the SMMA period if desired.
Limitations and Considerations
Lagging Indicators: ATR and SMMA are lagging indicators and may not predict future price movements.
Market Conditions: The effectiveness of this indicator may vary across different assets and market conditions.
Risk of Overfitting: Relying solely on this indicator without considering other factors may lead to suboptimal trading decisions.
Conclusion
This indicator combines essential elements of technical analysis to provide a comprehensive tool for traders. By visualizing ATR bands anchored at the OHLC4, indicating volatility crossovers, and providing real-time data on position sizing and trend direction, it aids in making informed trading decisions.
Whether you're a novice trader looking to understand market volatility or an experienced trader seeking to refine your strategy, this indicator offers valuable insights directly on your TradingView charts.
Code Summary
The script is written in Pine Script™ version 5 and includes:
Calculations for OHLC4, ATRs, Bands, SMMA:
Uses built-in functions like ta.atr() and ta.rma() for calculations.
Plotting Functions:
plotshape() for the OHLC4 dotted line.
plot() and fill() for the ATR bands.
Crossover Detection:
ta.crossover() and ta.crossunder() for detecting ATR crosses.
Labeling Crossovers:
label.new() to place informative labels on the chart.
Information Table Creation:
table.new() to create the table.
table.cell() to populate it with data.
Acknowledgments
ATR and SMMA Concepts: Built upon standard technical analysis concepts widely used in trading.
Pine Script™: Leveraged the capabilities of Pine Script™ version 5 for advanced charting and analysis.
Note: Always test any indicator thoroughly and consider combining it with other forms of analysis before making trading decisions. Trading involves risk, and past performance is not indicative of future results.
Happy Trading!
CBO (Candle Bias Oscillator)The Candle Bias Oscillator (CBO) with volume and ATR scaling is a unique technical analysis tool designed to capture market sentiment through the analysis of candlestick patterns, volume momentum, and market volatility. This indicator is built on the foundation of assessing the bias within a candlestick's body and wicks, adjusted for market volatility using the Average True Range (ATR), and further refined by comparing the Rate of Change (ROC) in volume and the adjusted bias. The culmination of these calculations results in the CBO, a smoothed oscillator that highlights potential market turning points through divergence analysis.
Key Features:
Bias Calculations: Utilizes the relationship between the candle's body and wicks to determine the market's immediate bias, offering a nuanced view beyond simple price action. Have you ever wanted to quantify exactly how bullish or bearish a particular candle or candlestick pattern is? Whether it's dojis, hammers, engulfing, gravestones, evening morning star, three soldiers etc. you don't have to memorize 50 candlestick patterns anymore.
Volatility Adjustment: Employs the ATR to adjust the bias calculation, ensuring the oscillator remains relevant across varying market conditions by accounting for volatility.
Momentum and Divergence: Measures the momentum in volume and bias through ROC calculations, identifying divergence that may signal reversals or significant price movements.
Signal Line: A smoothed version of the CBO, derived from its own values, serving as a benchmark for identifying potential crossovers and divergences.
Utility and Application:
The CBO with Divergence Scaling is developed for traders who seek a deeper understanding of market dynamics beyond price movements alone. It is particularly useful for identifying potential reversals or continuation patterns early, by highlighting divergence between market sentiment (as expressed through candlestick bias) and actual volume movements. In this way, it aligns us retail traders with institutional traders and smart money. This indicator is versatile and can be applied across various time frames and market instruments, offering value to both short-term traders and long-term investors.
How to Use:
Trend Identification: The direction and value of the CBO provide insights into the prevailing market trend. A positive oscillator value may indicate bullish sentiment, while a negative value suggests bearish sentiment.
Signal Line Crossovers: Crossovers between the CBO and its signal line can be used as potential buy or sell signals. A crossover above the signal line might indicate a buying opportunity, whereas a crossover below could suggest a selling point.
Divergence: Discrepancies between the CBO and price action (especially when confirmed by volume ROC) can highlight potential reversals.
Customization and Parameters: This script allows users to adjust several parameters, including oscillator periods, signal line periods, ATR periods, and ROC periods for divergence, to best fit their trading strategy and the characteristics of the market they are analyzing.
Conclusion:
The Custom Bias Oscillator with Divergence Scaling is a comprehensive tool designed to offer traders a multi-faceted view of market conditions, combining elements of price action, volatility, and momentum. By integrating these aspects into a single indicator, it aims to provide a more rounded and actionable insight into market trends and potential turning points.
To comply with best practices and ensure clarity regarding the informational nature of the Custom Bias Oscillator (CBO) tool, it's crucial to include a disclaimer about the non-advisory nature of the script. Here's a suitable disclaimer that you can add to the end of your script description or publication:
Disclaimer:
The Custom Bias Oscillator (CBO) with Divergence Scaling and its accompanying analysis are provided as tools for educational and informational purposes only and should not be construed as financial advice. The creator of this indicator does not guarantee any specific outcomes or profit, and all users should be aware of the risks involved in trading and investing. Users should conduct their own research and consult with a professional financial advisor before making any investment decisions. The use of this indicator is at the user's own risk, and the creator bears no responsibility for any direct or consequential loss arising from any use of this tool or the information provided herein.
Wyckoff Range StrategyThe Wyckoff Range Strategy is a trading strategy that aims to identify potential accumulation and distribution phases in the market using the principles of Wyckoff analysis. It also incorporates the detection of spring and upthrust patterns.
Here's a step-by-step explanation of how to use this strategy:
Understanding Accumulation and Distribution Phases:
Accumulation Phase: This is a period where smart money (large institutional traders) accumulates a particular asset at lower prices. It is characterized by a sideways or consolidating price action.
Distribution Phase: This is a period where smart money distributes or sells a particular asset at higher prices. It is also characterized by a sideways or consolidating price action.
Input Variables:
crossOverLength: This variable determines the length of the moving average crossover used to identify accumulation and distribution phases. You can adjust this value based on the market you are trading and the time frame you are analyzing.
stopPercentage: This variable determines the percentage used to calculate the stop loss level. It helps you define a predefined level at which you would exit a trade if the price moves against your position.
Strategy Conditions:
Enter Long: The strategy looks for a crossover of the close price above the SMA of the close price with a length of crossOverLength and a crossover of the low price above the SMA of the low price with a length of 20. This combination suggests the start of an accumulation phase and a potential buying opportunity.
Exit Long: The strategy looks for a crossunder of the close price below the SMA of the close price with a length of crossOverLength or a crossunder of the high price below the SMA of the high price with a length of 20. This combination suggests the end of an accumulation phase and a potential exit signal for long positions.
Enter Short: The strategy looks for a crossunder of the close price below the SMA of the close price with a length of crossOverLength and a crossunder of the high price below the SMA of the high price with a length of 20. This combination suggests the start of a distribution phase and a potential selling opportunity.
Exit Short: The strategy looks for a crossover of the close price above the SMA of the close price with a length of crossOverLength or a crossover of the low price above the SMA of the low price with a length of 20. This combination suggests the end of a distribution phase and a potential exit signal for short positions.
Stop Loss:
The strategy sets a stop loss level for both long and short positions. The stop loss level is calculated based on the stopPercentage variable, which represents the percentage of the current close price. If the price reaches the stop loss level, the strategy will automatically exit the position.
Plotting Wyckoff Schematics:
The strategy plots different shapes on the chart to indicate the identified phases and patterns. Green and red labels indicate the accumulation and distribution phases, respectively. Blue triangles indicate spring patterns, and orange triangles indicate upthrust patterns.
To use this strategy, you can follow these steps:
Jim Forte — Anatomy of a Trading Range
robertbrain.com/Bull...+a+Trading+Range.pdf
Sector 50MA vs 200MA ComparisonThis TradingView indicator compares the 50-period Moving Average (50MA) and 200-period Moving Average (200MA) of a selected market sector or index, providing a visual and analytical tool to assess relative strength and trend direction. Here's a detailed breakdown of its functionality:
Purpose: The indicator plots the 50MA and 200MA of a chosen sector or index on a separate panel, highlighting their relationship to identify bullish (50MA > 200MA) or bearish (50MA < 200MA) trends. It also includes a histogram and threshold lines to gauge momentum and key levels.
Inputs:
Resolution: Allows users to select the timeframe for calculations (Daily, Weekly, or Monthly; default is Daily).
Sector Selection: Users can choose from a list of sectors or indices, including Tech, Financials, Consumer Discretionary, Utilities, Energy, Communication Services, Materials, Industrials, Health Care, Consumer Staples, Real Estate, S&P 500 Value, S&P 500 Growth, S&P 500, NASDAQ, Russell 2000, and S&P SmallCap 600. Each sector maps to specific ticker pairs for 50MA and 200MA data.
Data Retrieval:
The indicator fetches closing prices for the 50MA and 200MA of the selected sector using the request.security function, based on the chosen timeframe and ticker pairs.
Visual Elements:
Main Chart:
Plots the 50MA (blue line) and 200MA (red line) for the selected sector.
Fills the area between the 50MA and 200MA with green (when 50MA > 200MA, indicating bullishness) or red (when 50MA < 200MA, indicating bearishness).
Threshold Lines:
Horizontal lines at 0 (zero line), 20 (lower threshold), 50 (center), 80 (upper threshold), and 100 (upper limit) provide reference points for the 50MA's position.
Fills between 0-20 (green) and 80-100 (red) highlight key zones for potential overbought or oversold conditions.
Sector Information Table:
A table in the top-right corner displays the selected sector and its corresponding 50MA and 200MA ticker symbols for clarity.
Alerts:
Generates alert conditions for:
Bullish Crossover: When the 50MA crosses above the 200MA (indicating potential upward momentum).
Bearish Crossover: When the 50MA crosses below the 200MA (indicating potential downward momentum).
Use Case:
Traders can use this indicator to monitor the relative strength of a sector's short-term trend (50MA) against its long-term trend (200MA).
The visual fill between the moving averages and the threshold lines helps identify trend direction, momentum, and potential reversal points.
The sector selection feature allows for comparative analysis across different market segments, aiding in sector rotation strategies or market trend analysis.
This indicator is ideal for traders seeking to analyze sector performance, identify trend shifts, and make informed decisions based on moving average crossovers and momentum thresholds.
[CP]Pivot Boss Multi Timeframe CPR Inception with MACD and EMAINTRODUCTION:
This indicator combines multi-timeframe CPR bands with MACD Momentum and EMA trend, all projected on the candlestick chart through a novel visualization.
If you have seen my other indicators on TradingView, you would know that I use floor pivots a lot and “Secrets of a Pivot Boss” is my favorite book. While using floor pivots, time and again I have noticed an interesting price behavior,
Trending moves in price typically start from around the Central Pivot Range (CPR). The CPR could be from ANY timeframe. These moves can easily be caught using simple momentum and trend indicators like MACD and EMA crossovers.
Yes, it is that simple. Follow along to understand how to use this indicator.
INDICATOR SETTINGS:
RANGEBOUND MACD AND EMA MARKINGS:
TradingView limits the max number of labels that can be shown on a chart to 500. Therefore, if you go far back enough, you won't see any markings for the MACD or EMA setups. If you are looking to test the efficacy of this indicator in the past, change the start and end dates to your desired timeframe and then select the ‘Mark MACD and EMA Setups in Range?’ option.
MULTI TIMEFRAME CENTRAL PIVOT RANGE:
Here you can select CPRs and their bands from which timeframes are shown on the chart. I will share my favorite settings later in this description.
CPR CONFIGURATION:
Show CPR Labels: CPRs markings can carry labels, so that you don’t confuse between which line is what. Use this setting to toggle them On/Off.
Show Next Time Period Pivots: Check this option if you want to see the CPR of the next time period. This is typically done to figure out the ’Two Day CPR Relationship’ . Read the book, “Secrets of a Pivot Boss”, to understand more.
EMA TREND:
Show EMA on the Chart: EMAs will be plotted on the chart. Standard stuff.
Mark EMA Crossovers on Chart: EMA crossovers will be marked on the chart in diamond shapes. If you are using EMA crossovers, I recommend setting this option to True.
Rest of the EMA settings are fairly obvious.
MACD MOMENTUM:
Projecting MACD parameters directly on the candlesticks is surely going to give you a new perspective about price action and MACD.
Also, in order to better understand the MACD projections on the chart, you can add a standard MACD indicator on the chart with default settings to figure out what my indicator is actually showing you.
Marking MACD Crossovers on Chart: Marks the MACD signal crossovers on the chart. This visualization was a game changer for me.
Show MACD Histogram on Chart: Projects the complete MACD Histogram in a novel fashion (Try it!). You will be able to visually see the ebbs and flow of momentum in the charts.
Mark MACD Histogram Peaks on Chart: Marks only the MACD peaks instead of the complete histogram. Peaks are a great way to enter an ongoing trend and to play an intraday rangebound market.
Rest of the settings are just the standard settings that you will find in a typical MACD indicator.
ALERTS:
Not shown in the settings panel, but I have added alerts for EMA and MACD Crossovers so that you don’t have to sit in front of the charts or constantly check the price all day long.
If you don’t know how to set alerts in TradingView, then please Google it.
INDICATOR USAGE EXAMPLES:
This indicator can be used in intraday as well as in higher timeframes.
There are quite a few variations possible, I personally prefer to use the EMA crossovers in intraday (5m) and MACD on Daily timeframes.
This is just a matter of personal preference, some people might prefer using EMAs only or MACD only in all timeframes.
Here are my personal settings for the intraday 5-minute timeframe:
Turn on all the CPR pivots starting from Yearly all the way to Daily. You can turn on 6 hourly and 4 hourly as well if you want.
Hourly CPR is mostly used when the price is in a strong trend and you missed the entry and don’t know when to enter. Price will typically experience pullbacks towards the Hourly CPR, before resuming in the direction of the trend. That is your chance to hop onto the bandwagon.
For Intraday, I keep the Bands off. Just a personal preference here.
You can turn ON the Show CPR Labels , if you want.
Turn ON both the options in the EMA TREND section. You would want to see the EMA crossovers marked on the chart as well as the EMAs themselves, as the distance between the two EMAs will give you an idea about the strength of the trend.
Keep rest of the settings in the EMA section as default (you can change the colors if you wish). I keep the same EMAs as the ones kept in the MACD indicator. I like to keep things simple.
In the MACD MOMENTUM section, turn ON Mark MACD Histogram Peaks on Chart and all the other options turned OFF. Leave the other settings as default. By the way, these are the default settings of the standard MACD Indicator.
You can set up EMA Bullcross and Bearcross alarms if you like.
Before checking out the examples, remember one super simple rule:
SOME OF THE BEST TRENDING MOVES IN THE MARKET, BE IT INTRADAY OR OTHERWISE, ORIGINATE IN THE VICINITY OF A LARGER TIMEFRAME PIVOT/CPR.
Look for price settling above/below a pivot, and then a move away from the pivot in any direction is typically a trending move.
You can use hourly pivots or MACD Histogram peaks marked on the chart to enter an existing trend, or add to your positions.
Let’s have a look at a few recent intraday examples from the Crypto, Indian, and US equity markets.
I have added my comments in the charts to make you easily understand what is going on.
Understand that both, moving average crossover and MACD, will give out a lot of signals (chop) every day. But almost 70% of them are going to be fake signals. It is the signals that you get when the price is near a Pivot, that tend to convert into gorgeous trending moves that last.
BTC 5m Charts
NIFTY Futures 5m Charts (good intraday trends are hard to find here, as the market is very efficient)
TSLA 5m Charts
Some important points for using this indicator in higher timeframes:
For higher timeframes, my personal preference is to go with the MACD indicator. I personally find MACD to be lethal on daily and weekly timeframes, if you know how to use it well.
The default settings of the indicator are the settings I use for both, Daily and Weekly, timeframes. Additionally, I turn off the CPR labels.
In theory large trending moves still have a big probability to start near an important pivot level, however, in larger timeframes, trending moves can start from anywhere. They need not start in the vicinity of any important pivot (but they often do!).
Weekly pivots can act as great pullback levels when the price is in strong momentum, when trading on the daily timeframe.
Quarterly Pivots act as great pullback levels when the price is in strong momentum, when trading on the weekly timeframe.
BTC Weekly Chart
BTC Daily Chart
Nifty Weekly Chart
Nifty Daily Chart
NASDAQ Weekly Chart
NASDAQ Daily Chart
FINAL WORDS:
Please understand that I have Cherry Picked the examples to showcase the capability of the indicator and its usage.
DO NOT conflate the accuracy of examples with the accuracy of this indicator.
Biggest catch is the fact that this indicator, like every other indicator out there, will have whipsaws. Some I have also marked in the example charts.
You need to come up with your own technique to avoid whipsaws, one technique I have shared here…… big moves typically start near pivots.
Work on avoiding whipsaws and finding you own edge in the markets.
If you really want to learn how to use Pivots, read the book ’Secrets of a Pivot Boss’ . This book can change your life.
Volume Order Blocks [BigBeluga]Volume Order Blocks is a powerful indicator that identifies significant order blocks based on price structure, helping traders spot key supply and demand zones. The tool leverages EMA crossovers to determine the formation of bullish and bearish order blocks while visualizing their associated volume and relative strength.
🔵 Key Features:
Order Block Detection via EMA Crossovers:
Plots bullish order blocks at recent lows when the short EMA crosses above the long EMA.
Plots bearish order blocks at recent highs when the short EMA crosses below the long EMA.
Uses customizable sensitivity through the “Sensitivity Detection” setting to fine-tune block formation.
Volume Collection and Visualization:
Calculates the total volume between the EMA crossover bar and the corresponding high (bearish OB) or low (bullish OB).
Displays the absolute volume amount next to each order block for clear volume insights.
Percentage Volume Distribution:
Shows the percentage distribution of volume among bullish or bearish order blocks.
100% represents the cumulative volume of all OBs in the same category (bullish or bearish).
Order Block Removal Conditions:
Bullish order blocks are removed when the price closes below the bottom of the block.
Bearish order blocks are removed when the price closes above the top of the block.
Helps maintain chart clarity by only displaying relevant and active levels.
Midline Feature:
Dashed midline inside each order block indicates the midpoint between the upper and lower boundaries.
Traders can toggle the midline on or off through the settings.
Shadow Trend:
Shadow Trend dynamically visualizes trend strength and direction by adapting its color intensity based on price movement.
🔵 Usage:
Supply & Demand Zones: Use bullish and bearish order blocks to identify key market reversal or continuation points.
Volume Strength Analysis: Compare volume percentages to gauge which order blocks hold stronger market significance.
Breakout Confirmation: Monitor block removal conditions for potential breakout signals beyond support or resistance zones.
Trend Reversals: Combine EMA crossovers with order block formation for early trend reversal detection.
Risk Management: Use OB boundaries as potential stop-loss or entry points.
Volume Order Blocks is an essential tool for traders seeking to incorporate volume-based supply and demand analysis into their trading strategy. By combining price action, volume data, and EMA crossovers, it offers a comprehensive view of market structure and potential turning points.
SecretSauceByVipzOverview:
SecretSauceByVipz is a sophisticated trading indicator designed to help traders identify high-probability buy and sell signals by integrating multiple technical analysis tools. By combining Exponential Moving Averages (EMAs), Average True Range (ATR) buffer zones, Volume Weighted Average Price (VWAP), and Relative Strength Index (RSI) momentum confirmation, this indicator aims to reduce false signals and enhance trading decisions.
Key Features:
Exponential Moving Averages (EMAs):
200-period EMA (Long EMA): Serves as a long-term trend indicator.
8-period EMA (Fast EMA): Captures short-term price movements.
21-period EMA (Slow EMA): Reflects medium-term price trends.
EMA Crossovers: Generates initial buy/sell signals when the fast EMA crosses over or under the slow EMA.
ATR-Based Buffer Zones:
ATR Calculation: Utilizes a 14-period ATR to measure market volatility.
Buffer Zone Multiplier: User-adjustable multiplier (default 1.0) applied to the ATR to create dynamic buffer zones around the 200 EMA.
Buffer Zones: Helps filter out false signals by requiring price to move beyond these zones for certain signals.
Volume Weighted Average Price (VWAP):
VWAP Plotting: Provides an average price weighted by volume, useful for identifying fair value areas and potential support/resistance levels.
Signal Confirmation Logic:
Confirmation Candle: Requires the next candle after a crossover to close in the signal's direction for added reliability.
Early Signals: Triggers when price crosses the 200 EMA and moves beyond the buffer zone, indicating potential early trend changes.
Strong Signals: Occur when both the price crosses the fast EMA and the fast EMA crosses the slow EMA simultaneously.
RSI Momentum Confirmation:
RSI Calculation: Uses a 14-period RSI to gauge market momentum.
Momentum Filter: Confirms signals only when RSI aligns with the trend (above 50 for bullish, below 50 for bearish signals).
Visual Aids:
EMA and VWAP Plots: Overlays the EMAs and VWAP directly on the price chart for easy visualization.
Buffer Zone Lines: Plots the upper and lower buffer zones around the 200 EMA.
Signal Labels:
Buy Signals: Displayed as green "BUY" labels below the bars.
Sell Signals: Displayed as red "SELL" labels above the bars.
How to Use:
Trend Identification:
Use the 200 EMA to determine the overall market trend.
Price above the 200 EMA suggests a bullish trend; below indicates a bearish trend.
Signal Generation:
Confirmed Signals: Wait for the confirmation candle after an EMA crossover before considering entry.
Early Signals: Consider early entries when price crosses the 200 EMA and moves beyond the buffer zone.
Strong Signals: Pay attention to strong signals where both price and EMAs are crossing over, indicating robust trend momentum.
Momentum Confirmation:
Ensure the RSI aligns with the signal direction:
Buy Signals: RSI should be above 50.
Sell Signals: RSI should be below 50.
Adjusting Sensitivity:
Modify the ATR Multiplier and Buffer Multiplier to suit different market conditions and personal trading styles.
A higher multiplier may reduce signal frequency but increase reliability.
Customization Parameters:
ATR Multiplier for Distance Filter (Default: 1.5):
Adjusts the sensitivity of the distance filter based on ATR.
Buffer Multiplier for 200 EMA (Default: 1.0):
Alters the width of the buffer zones around the 200 EMA.
Benefits:
Reduces False Signals: The combination of confirmation candles and buffer zones helps filter out noise.
Enhances Trend Detection: Multiple EMA crossovers provide insights into short-term and medium-term trends.
Incorporates Volatility and Momentum: ATR and RSI ensure signals consider market volatility and momentum.
Disclaimer:
This indicator is a tool to assist in technical analysis and should not be used as the sole basis for trading decisions. Always conduct thorough analysis and consider risk management strategies before executing trades. Past performance is not indicative of future results.
Credits:
Developed by Vipink1203.
Version:
Pine Script Version 5
Envelope with Kernel Selection [CHE] Envelope with Kernel Selection Indicator Overview
The "Envelope with Kernel Selection " is a versatile technical analysis tool designed to help traders identify market trends and trading signals. This indicator allows traders to spot signals in two primary ways: through the plotshape markers, which indicate specific price crossovers, and via the background color, which visually represents the current market trend.
Key Features and Advantages:
1. Dual Signal Mechanism:
- Plotshape Markers: The indicator uses visual markers (arrows) on the chart to highlight when the price crosses above or below the envelope bands. These markers act as clear trade signals, helping traders identify potential buy or sell opportunities.
- Background Color for Trend Identification: In addition to plotshape markers, the indicator can also use the chart's background color to indicate overall market direction. A green background suggests a bullish trend, while a red background indicates a bearish trend. This dual signal mechanism provides traders with both precise entry/exit points and an easy-to-read trend indicator.
2. Customizable Background Color Feature:
- Background Color Toggle: The background color feature can be turned on or off using the `bgColorEnabled = input.bool(true, "Background Color On / Off")` setting. When this setting is enabled (`true`), the background color dynamically changes based on the market's trend, offering an additional visual cue. If the setting is disabled (`false`), the background color remains neutral, allowing traders to focus solely on the plotshape signals or other chart elements.
- Visual Clarity: When enabled, the background color helps traders quickly gauge the market's trend without analyzing detailed chart patterns, making it easier to identify whether the market is in a bullish or bearish phase.
3. Customizable Kernel Selection for Enhanced Smoothing:
- Diverse Kernel Options: The indicator provides six different kernel functions (Linear, Exponential, Epanechnikov, Triangular, Cosine, Gauss) for smoothing price data. Traders can select the kernel that best suits their analysis style, allowing for precise adjustment to market conditions.
- Improved Trend Accuracy: By choosing the appropriate kernel function, traders can either focus on short-term price movements or capture broader trends more effectively, thus improving the accuracy of their market analysis.
4. Non-Repainting Signals for Reliability:
- Consistency in Signals: The indicator’s non-repainting nature ensures that once a signal (such as a crossover or trend change) is generated, it does not change with future price movements. This consistency is crucial for making reliable trading decisions, especially when backtesting or executing strategies based on historical data.
- Dependable Trading: Traders can rely on the signals provided by this indicator to remain consistent, which enhances confidence in decision-making and reduces the risk of false signals.
5. Dynamic Trend Bands:
- Adaptive Support and Resistance: The indicator calculates and displays upper and lower trend bands around a midline based on the selected kernel function. These bands act as dynamic support and resistance levels, guiding traders in identifying potential reversal zones.
- Versatility in Various Market Conditions: The bands can be adjusted for different market volatilities using the bandwidth setting, making the indicator suitable for both trending and ranging markets.
6. Clear Visual Indicators for Crossovers:
- Easy-to-Spot Trade Signals: The indicator uses arrows to mark when the price crosses the upper or lower bands. A green arrow indicates a potential buy signal, while a red arrow indicates a potential sell signal. These visual markers simplify the identification of entry and exit points.
- Enhanced Precision: By clearly marking crossover points, the indicator helps traders execute trades with greater precision, reducing the likelihood of missed opportunities.
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In summary, the "Envelope with Kernel Selection " offers traders a powerful combination of visual signals through plotshape markers and background color changes. Its customizable kernel selection, non-repainting nature, and dynamic trend bands make it a comprehensive and reliable tool for market analysis and trading. Whether you prefer clear trade signals or broader trend identification, this indicator provides the flexibility and accuracy needed to make informed trading decisions.
Best regards
Chervolino
VWAP ROC Weighted AverageThe VWAP ROC Weighted Average indicator combines the concepts of Volume Weighted Average Price (VWAP) and Rate of Change (ROC) to create a unique and versatile tool for traders. The indicator calculates the average VWAP and average ROC over a specified period (default: 200 bars) and then creates a weighted average of these two values. This provides a single line that can help traders identify potential entry and exit points in a market.
How it can be used in trading:
Trend Confirmation: The VWAP_ROC_WA can be used to confirm the prevailing trend of an asset. If the weighted average line is moving upward, it indicates a bullish trend, while a downward-moving line suggests a bearish trend. Traders can use this information to enter trades in the direction of the trend to improve their odds of success.
Support and Resistance: The VWAP_ROC_WA line can act as dynamic support and resistance levels. When the price is above the weighted average line, it can act as a support level, and when the price is below the line, it can serve as a resistance level. Traders can use these levels to set stop-loss and take-profit orders or to identify potential entry and exit points.
Divergences: Traders can look for divergences between the price and the VWAP_ROC_WA line to identify potential reversals. For instance, if the price is making higher highs while the weighted average line is making lower highs, it may signal a bearish divergence, indicating a potential reversal to the downside. Conversely, if the price is making lower lows while the weighted average line is making higher lows, it may signal a bullish divergence, indicating a potential reversal to the upside.
Crossovers: Traders can monitor crossovers between the price and the VWAP_ROC_WA line. A bullish crossover occurs when the price crosses above the weighted average line, suggesting a potential long entry point. A bearish crossover occurs when the price crosses below the line, suggesting a potential short entry point.
Break of High/Low with Volume, MACD, and MAsHow It Works:
Sessions:
The London session is defined between 8:00 and 16:00 UTC.
The New York session is defined between 13:00 and 21:00 UTC.
Previous High/Low:
The script identifies the highest high and lowest low from the previous bar using ta.highest(high, 1) and ta.lowest(low, 1) .
Candle Body Size:
The script calculates the size of the current candle's body and checks if it is at least double the size of the previous candle's body.
Volume Check:
A high volume threshold is set as 1.5 times the 50-period SMA of the volume.
MACD Crossover:
The script calculates the MACD and its signal line and checks for bullish (buy) or bearish (sell) crossovers.
Signals:
A long signal (buy) is generated if the price breaks the previous high with a large body candle, high volume, and a bullish MACD crossover during the specified sessions.
A short signal (sell) is generated if the price breaks the previous low with a large body candle, high volume, and a bearish MACD crossover during the specified sessions.
Plotting:
The 50-period and 200-period moving averages, previous high, and previous low are plotted on the chart.
If a long condition is met, a "BUY" label is displayed below the bar. If a short condition is met, a "SELL" label is displayed above the bar.
Alerts:
Alerts are triggered whenever the conditions for a long or short trade are met.
Customization:
Feel free to adjust the session times, volume threshold, MACD settings, or moving averages based on your trading strategy or the specific asset you are trading.
Ichimoku Cloud Indicator [TradingFinder] Kinko Hyo Cross Alerts🔵 Introduction
The Ichimoku Cloud (Ichimoku Kinko Hyo) is one of the most powerful and complete trading indicators in technical analysis. Originally developed by Japanese journalist Goichi Hosoda, the Ichimoku system combines multiple tools in one indicator, providing traders with instant insights into trend direction, support and resistance levels, and momentum. Unlike simple moving averages (SMA – Simple Moving Average), the Ichimoku Cloud (Kumo – Cloud) integrates dynamic elements that help traders forecast potential price action with greater clarity.
The Ichimoku Indicator (Ichimoku Signal System) is widely used across global markets, from Forex trading (FX – Foreign Exchange) to stocks, indices, and even cryptocurrencies. Its popularity comes from its ability to generate clear buy signals and sell signals based on the interaction of its components: Tenkan Sen (Conversion Line), Kijun Sen (Base Line), Senkou Span A, Senkou Span B, and Chikou Span (Lagging Line). When combined, these lines create the Ichimoku Cloud, which visually represents the balance between price action and market structure.
Ichimoku Cloud Lines Formulas :
Conversion Line (Tenkan Sen / Conversion Line) : Average of the highest high and lowest low over the past 9 periods => (9-PH + 9-PL) ÷ 2
Base Line (Kijun Sen / Base Line) : Average of the highest high and lowest low over the past 26 periods => (26-PH + 26-PL) ÷ 2
Leading Span A (Senkou Span A / Leading Span A) : Average of the Conversion Line and Base Line, plotted 26 periods ahead => (Tenkan Sen + Kijun Sen) ÷ 2
Leading Span B (Senkou Span B / Leading Span B) : Average of the highest high and lowest low over the past 52 periods, plotted 26 periods ahead => (52-PH + 52-PL) ÷ 2
Lagging Span (Chikou Span / Lagging Span) : Current closing price, plotted 26 periods behind.
One of the biggest advantages of the Ichimoku Trading Strategy (Ichimoku Cloud Trading System) is that it allows traders to identify the market condition at a glance. When the price is above the Kumo (Cloud), it indicates a bullish trend (uptrend). When the price is below the Kumo, the market is in a bearish trend (downtrend). And when the price is inside the cloud, the market is ranging (sideways trend). This simplicity and visual clarity make Ichimoku an essential indicator for both beginner traders and professional analysts.
The Ichimoku Cloud Indicator (Ichimoku Technical Analysis Tool) continues to be one of the most reliable charting methods. Traders often consider it superior to basic moving averages (MA – Moving Average) or exponential moving averages (EMA – Exponential Moving Average), because it not only shows trend direction but also highlights potential future support and resistance levels. With its unique combination of trend analysis, price forecasting, and trading signals, Ichimoku remains a core strategy in modern trading systems.
🔵 How to Use
The Ichimoku Cloud is more than just a set of lines; it’s a complete trading system that helps traders identify trends, momentum, and key support and resistance levels. By combining its five lines Conversion Line, Base Line, Leading Span A, Leading Span B, and Lagging Span traders can develop clear buy and sell strategies.
🟣 Identifying Trend Direction
Bullish Trend (Uptrend) : Price is above the cloud (Kumo), and the cloud is green. Leading Span A is above Leading Span B, signaling strong upward momentum.
Bearish Trend (Downtrend) : Price is below the cloud, and the cloud is red. Leading Span A is below Leading Span B, confirming a downward momentum.
Ranging / Sideways Market : Price is inside the cloud, indicating indecision and consolidation. Traders often avoid opening strong positions during these periods.
🟣 Buy Strategies
Conversion/Base Line Crossover : A buy signal occurs when the Conversion Line (Tenkan Sen) crosses above the Base Line (Kijun Sen). The signal is strongest when this crossover happens above the cloud.
Price Above Base Line : If the price moves above the Base Line while in an uptrend, it confirms bullish momentum and provides a favorable entry point.
Cloud Support Pullback : During a pullback in an uptrend, the price may touch or slightly enter the cloud. Traders can use the cloud as a dynamic support zone for buying opportunities.
Lagging Span Confirmation : Ensure the Lagging Span (Chikou Span) is above the price of 26 periods ago to confirm the strength of the bullish trend.
🟣 Sell Strategies
Conversion/Base Line Crossover : A sell signal is generated when the Conversion Line (Tenkan Sen) crosses below the Base Line (Kijun Sen). This signal is strongest when it occurs below the cloud.
Price Below Base Line : If the price falls below the Base Line in a downtrend, it confirms bearish momentum and strengthens the sell setup.
Cloud Resistance Pullback : During a bounce in a downtrend, the cloud acts as a resistance zone. Traders can enter sell positions when price approaches or touches the cloud from below.
Lagging Span Confirmation : The Lagging Span should be below the price of 26 periods ago, confirming downward momentum.
🟣 Cloud Breakout Signals
A strong buy occurs when the price breaks above the cloud from below, signaling a potential trend reversal.
A strong sell occurs when the price breaks below the cloud from above, indicating a shift toward a bearish trend.
🟣 Combining Signals for Stronger Entries
For higher probability trades, combine multiple signals : trend direction (cloud color and position), crossovers (Tenkan/Kijun), and Lagging Span position.
Avoid trading against the overall trend. For example, avoid buying when price is below a red cloud or selling when price is above a green cloud.
🔵 Setting
Tenkan Sen Period : Lookback period for Conversion Line (default: 9).
Kijun Sen Period : Lookback period for Base Line (default: 26).
Span B Period : Lookback period for Leading Span B, forms one Cloud boundary (default: 52).
Shift Lines : Periods forward for Cloud / backward for Lagging Span (default: 26).
Cross Tenkan/Kijun Alert : Alert on Conversion/Base Line crossover.
Cross Price/Tenkan Alert : Alert when price crosses Tenkan Sen.
Cross Price/Kijun Alert : Alert when price crosses Kijun Sen
🔵 Conclusion
The Ichimoku Cloud (Ichimoku Kinko Hyo) is much more than a simple indicator it is a complete trading system that combines trend detection, momentum analysis, and support/resistance identification in one view. By interpreting the position of price relative to the cloud, the interaction between Tenkan Sen (Conversion Line) and Kijun Sen (Base Line), the leading spans (Senkou Span A and B), and the Chikou Span (Lagging Line), traders can identify potential buy and sell opportunities with higher confidence.
The main advantage of the Ichimoku Cloud is its ability to provide a “one-look equilibrium” snapshot of the market. It highlights bullish trends when the price is above the cloud, bearish conditions when the price is below it, and indecision or transition when the price is inside the cloud. Crossovers, cloud breakouts, and confirmations by the Chikou Span strengthen the trading signals.
However, traders should keep in mind the limitations of the Ichimoku system. It is based on historical data and should not be used in isolation. Combining it with other tools such as RSI, volume analysis, or candlestick patterns can significantly improve accuracy and reduce false signals.
Ichimoku Estratégico - Señales y RupturasIndicator Description: "Ichimoku Unificado - Señales Avanzadas y Rupturas v6" (English)
This indicator combines the power of the classic Ichimoku Kinko Hyo analysis with advanced filters and breakout signals, offering a comprehensive and visually clear technical analysis tool built in Pine Script v6.
Key Features:
Complete Ichimoku Components:
Calculates and displays the core lines: Tenkan-sen (Conversion), Kijun-sen (Base), Senkou Span A and B (forming the Cloud or Kumo), and Chikou Span (Lagging).
Allows adjustment of calculation periods for each line and the cloud displacement.
Advanced Signal System:
Primary Signals: Based on crossovers between the Conversion Line (Tenkan) and the Base Line (Kijun).
Confirmation Filters:
RSI Filter: Incorporates an RSI oscillator to confirm overbought or oversold conditions before generating signals.
Chikou Span Filter: Validates that the past price (Chikou) is aligned in the correct direction before the signal.
Price Condition: Requires the price to be above/below the cloud for buy/sell signals respectively.
Generates visual signals (triangles) only when all defined criteria are met.
Breakout Detection:
Identifies and marks visually (with diamonds) when the price breaks above the top of the cloud (bullish signal) or below the bottom of the cloud (bearish signal).
Allows filtering by a minimum breakout size (optional).
Enhanced Visualization:
Cloud (Kumo): Draws the cloud with colors indicating trend (green/bullish or red/bearish) and adjustable transparency.
Circles on Crossovers: Optionally, shows circles at the exact points of Tenkan/Kijun crossovers (inspired by the original v4).
Bar Coloring: Optionally, colors the background price bars based on the price's relative position to the cloud and the direction of Tenkan/Kijun.
Information Panel:
Displays in real-time (in the top-right corner) the status of key conditions generating the signals: Crossover, Position relative to cloud, Breakout, RSI and Chikou filters, and the final signal.
Alerts:
Generates customizable alerts for buy and sell signals.
Considerations:
This indicator is a technical analysis tool for visualizing market data and potential trading setups according to the defined parameters.
It does not guarantee profits or predict the future price direction with certainty.
It is recommended for use in conjunction with other analyses and sound risk management.
Incorporates elements of original code by "ozzy_livin" under the Mozilla Public License 2.0 (MPL 2.0).
RenKagi Fusion: Aura & SMA Clash IndicatorRenKagi Fusion: Aura & SMA Clash Indicator
Welcome to the RenKagi Fusion Indicator – a powerful, customizable tool that blends the strengths of Renko and Kagi charts to provide noise-filtered trend insights, enhanced with visual Aura effects and SMA (Simple Moving Average) crossover signals. Designed for traders seeking a unique edge in trend detection and reversal identification, this indicator combines traditional charting techniques with modern visualizations to help you navigate markets more effectively. Whether you're trading stocks, forex, or crypto, RenKagi Fusion offers a clean, actionable overview of market dynamics.
Key Features
RenKagi Line (Weighted Fusion of Renko and Kagi): The core of the indicator is the RenKagi line, a weighted average of Renko (brick-based trend filtering) and Kagi (reversal-focused line charts). Users can adjust the weight (default: 60% Renko, 40% Kagi) to prioritize stability or sensitivity. This fusion reduces market noise while highlighting key price movements.
Trend Scoring System: Calculates strength scores for Renko, Kagi, and RenKagi (capped at 20 points, converted to percentages). Scores increase with trend continuation and reset on reversals, giving a quantitative measure of momentum.
Aura Effects (Optional): Visual "glow" around lines based on score percentage – higher scores mean more opaque and thicker auras, adding a dynamic layer to trend visualization.
SMA Clash (Crossover Detection): Monitors daily SMA50, SMA100, and SMA200 for golden/death crosses (SMA50 crossing above/below longer SMAs) and RenKagi-SMA crossovers. These are displayed in a persistent info table for quick reference.
Customizable Visuals: Toggle lines, boxes, shapes, auras, and labels. Background coloring based on selected source (Renko, Kagi, or RenKagi) for intuitive trend bias.
Info Table: A configurable table (position and colors adjustable) summarizing scores, directions, cross states, brick size (with type), Kagi reversal (with type), and weights. No clutter – all in one place.
Alert Conditions: Built-in alerts for direction changes (Renko, Kagi, RenKagi), SMA crossovers, and golden/death crosses – perfect for real-time notifications.
How It Works
Renko Logic: Builds bricks based on user-selected type (Traditional fixed size, ATR dynamic, or Percentage). Scores build as trends persist, resetting on reversals.
Kagi Logic: Line reverses on thresholds (Traditional, ATR, or Percentage), scoring continuous moves.
RenKagi Calculation: Weighted average: (renkoPrice * renkoWeight + kagiLine * (100 - renkoWeight)) / 100. Score is a blend of individual scores.
SMA Integration: Daily timeframe SMAs for reliable long-term signals. Crossovers trigger alerts and update table states persistently until reversed.
Advantages for Traders
Noise Reduction: By fusing Renko's block structure with Kagi's reversal focus, it filters out minor fluctuations, helping identify strong trends early.
Versatility: Fully customizable – adjust weights, types, and visuals to fit any market or timeframe. Ideal for swing trading, trend following, or scalping.
Visual Clarity: Aura and background coloring provide at-a-glance insights, while the table consolidates data without overwhelming the chart.
Actionable Signals: Golden/Death crosses and direction changes offer clear entry/exit points, backed by alerts for timely execution.
Performance Optimization: Limits on lines/labels/boxes (500 each) ensure smooth operation on large datasets.
Usage Tips
Start with default settings for balanced performance.
Use in higher timeframes for trend confirmation or lower for intraday signals.
Combine with your favorite strategies – e.g., buy on RenKagi upward cross with SMA50 and golden cross confirmation.
Test on historical data to optimize weights and thresholds.
Note: This indicator is for educational and informational purposes only. Past performance is not indicative of future results. Always conduct your own analysis and use risk management. No financial advice is provided.
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