MACD, ADX & RSI -> for altcoins# MACD + ADX + RSI Combined Indicator
## Overview
This advanced technical analysis tool combines three powerful indicators (MACD, ADX, and RSI) into a single view, providing a comprehensive analysis of trend, momentum, and divergence signals. The indicator is designed to help traders identify potential trading opportunities by analyzing multiple aspects of price action simultaneously.
## Components
### 1. MACD (Moving Average Convergence Divergence)
- **Purpose**: Identifies trend direction and momentum
- **Components**:
- Fast EMA (default: 12 periods)
- Slow EMA (default: 26 periods)
- Signal Line (default: 9 periods)
- Histogram showing the difference between MACD and Signal line
- **Visual**:
- Blue line: MACD line
- Orange line: Signal line
- Green/Red histogram: MACD histogram
- **Interpretation**:
- Histogram color changes indicate potential trend shifts
- Crossovers between MACD and Signal lines suggest entry/exit points
### 2. ADX (Average Directional Index)
- **Purpose**: Measures trend strength and direction
- **Components**:
- ADX line (default threshold: 20)
- DI+ (Positive Directional Indicator)
- DI- (Negative Directional Indicator)
- **Visual**:
- Navy blue line: ADX
- Green line: DI+
- Red line: DI-
- **Interpretation**:
- ADX > 20 indicates a strong trend
- DI+ crossing above DI- suggests bullish momentum
- DI- crossing above DI+ suggests bearish momentum
### 3. RSI (Relative Strength Index)
- **Purpose**: Identifies overbought/oversold conditions and divergences
- **Components**:
- RSI line (default: 14 periods)
- Divergence detection
- **Visual**:
- Purple line: RSI
- Horizontal lines at 70 (overbought) and 30 (oversold)
- Divergence labels ("Bull" and "Bear")
- **Interpretation**:
- RSI > 70: Potentially overbought
- RSI < 30: Potentially oversold
- Bullish/Bearish divergences indicate potential trend reversals
## Alert System
The indicator includes several automated alerts:
1. **MACD Alerts**:
- Rising to falling histogram transitions
- Falling to rising histogram transitions
2. **RSI Divergence Alerts**:
- Bullish divergence formations
- Bearish divergence formations
3. **ADX Trend Alerts**:
- Strong trend development (ADX crossing threshold)
- DI+ crossing above DI- (bullish)
- DI- crossing above DI+ (bearish)
## Settings Customization
All components can be fine-tuned through the settings panel:
### MACD Settings
- Fast Length
- Slow Length
- Signal Smoothing
- Source
- MA Type options (SMA/EMA)
### ADX Settings
- Length
- Threshold level
### RSI Settings
- RSI Length
- Source
- Divergence calculation toggle
## Usage Guidelines
### Entry Signals
Strong entry signals typically occur when multiple components align:
1. MACD histogram color change
2. ADX showing strong trend (>20)
3. RSI showing divergence or leaving oversold/overbought zones
### Exit Signals
Consider exits when:
1. MACD crosses signal line in opposite direction
2. ADX shows weakening trend
3. RSI reaches extreme levels with divergence
### Risk Management
- Use the indicator as part of a complete trading strategy
- Combine with price action and support/resistance levels
- Consider multiple timeframe analysis for confirmation
- Don't rely solely on any single component
## Technical Notes
- Built for TradingView using Pine Script v5
- Compatible with all timeframes
- Optimized for real-time calculation
- Includes proper error handling and NA value management
- Memory-efficient calculations for smooth performance
## Installation
1. Copy the provided Pine Script code
2. Open TradingView Chart
3. Create New Indicator -> Pine Editor
4. Paste the code and click "Add to Chart"
5. Adjust settings as needed through the indicator settings panel
## Version Information
- Version: 2.0
- Last Updated: November 2024
- Platform: TradingView
- Language: Pine Script v5
Cari dalam skrip untuk "Divergence"
Cumulative Volume Delta Strategy | Flux Charts💎 GENERAL OVERVIEW
Introducing the Cumulative Volume Delta Strategy (CVDS) Indicator, an advanced tool designed to enhance trading strategies by identifying potential trend reversals through volume dynamics. This script features integrated order block detection, Fair Value Gaps (FVGs), and a dynamic take-profit (TP) and stop-loss (SL) system. For an in-depth understanding of the strategy, refer to the "HOW DOES IT WORK?" section below.
Features of the new Cumulative Volume Delta Strategy (CVDS) Indicator :
Cumulative Volume Delta-based Strategy
Order Block and Fair Value Gap (FVG) Entry Methods
Dynamic TP/SL System
Customizable Risk Management Settings
Alerts for Buy, Sell, TP, and SL Signals
📌 HOW DOES IT WORK ?
The CVDS indicator operates by tracking the net volume difference between buyers and sellers to identify divergences that could indicate potential trend reversals. A cumulative volume delta (CVD) calculation is employed to measure the intensity of these divergences in relation to price movements. The net volume sum is reset every trading day (can be changed from the settings using the anchor period option), and divergences are detected when the cumulative volume crosses the 0-line over or under.
Once a significant divergence is detected, the indicator identifies breakout points, confirmed by either Fair Value Gaps (FVGs) or Order Blocks (OBs). Depending on your chosen entry mode, the indicator will trigger a buy or sell entry when the confirmation signal aligns with the breakout direction. Alerts for Buy, Sell, Take-Profit, and Stop-Loss are available.
Note that the indicator cannot run on 1-minute and 1-second charts, as it needs to get data from a lower timeframe. 1-minutes & 1-second timeframes are the minimum timeframes in their ranges respectively.
🚩 UNIQUENESS
What sets this indicator apart is the combination of volume divergence analysis with advanced price action tools like Fair Value Gaps (FVGs) and Order Blocks (OBs). The ability to choose between these methods, along with a dynamic TP/SL system that adapts based on volatility, provides flexibility for traders in any market condition. The backtesting dashboard provides metrics about the performance of the indicator. You can use it to tune the settings for best use in the current ticker. The CVD-based strategy ensures that trades are initiated only when meaningful divergences between volume and price occur, filtering out noise and increasing the likelihood of profitable trades.
⚙️ SETTINGS
1. General Configuration
Anchor Period: Time anchor period used in CVD calculation. This is essentially the period that the volume delta sum will be reset. Lower timeframes may result in more entries at the cost of less reliable results.
Entry Mode: Choose between FVGs or OBs to trigger your entries based on the confirmation signals.
Retracement Requirement: Enable to confirm the entry after a retracement toward the FVG or OB.
2. Fair Value Gaps
FVG Sensitivity: Modify the sensitivity of FVG detection, allowing for more or fewer gaps to be considered valid.
3. Order Blocks (OB)
Swing Length: Define the swing length to identify OB formations. Shorter lengths find smaller OBs, while longer lengths detect larger structures.
4. TP / SL
TP / SL Method:
a) Dynamic: The TP / SL zones will be auto-determined by the algorithm based on the Average True Range (ATR) of the current ticker.
b) Fixed : You can adjust the exact TP / SL ratios from the settings below.
Dynamic Risk: The risk you're willing to take if "Dynamic" TP / SL Method is selected. Higher risk usually means a better winrate at the cost of losing more if the strategy fails. This setting is has a crucial effect on the performance of the indicator, as different tickers may have different volatility so the indicator may have increased performance when this setting is correctly adjusted.
Multi-Timeframe Trend Detector [Alifer]Here is an easy-to-use and customizable multi-timeframe visual trend indicator.
The indicator combines Exponential Moving Averages (EMA), Moving Average Convergence Divergence (MACD), and Relative Strength Index (RSI) to determine the trend direction on various timeframes: 15 minutes (15M), 30 minutes (30M), 1 hour (1H), 4 hours (4H), 1 day (1D), and 1 week (1W).
EMA Trend : The script calculates two EMAs for each timeframe: a fast EMA and a slow EMA. If the fast EMA is greater than the slow EMA, the trend is considered Bullish; if the fast EMA is less than the slow EMA, the trend is considered Bearish.
MACD Trend : The script calculates the MACD line and the signal line for each timeframe. If the MACD line is above the signal line, the trend is considered Bullish; if the MACD line is below the signal line, the trend is considered Bearish.
RSI Trend : The script calculates the RSI for each timeframe. If the RSI value is above a specified Bullish level, the trend is considered Bullish; if the RSI value is below a specified Bearish level, the trend is considered Bearish. If the RSI value is between the Bullish and Bearish levels, the trend is Neutral, and no arrow is displayed.
Dashboard Display :
The indicator prints arrows on the dashboard to represent Bullish (▲ Green) or Bearish (▼ Red) trends for each timeframe.
You can easily adapt the Dashboard colors (Inputs > Theme) for visibility depending on whether you're using a Light or Dark theme for TradingView.
Usage :
You can adjust the indicator's settings such as theme (Dark or Light), EMA periods, MACD parameters, RSI period, and Bullish/Bearish levels to adapt it to your specific trading strategies and preferences.
Disclaimer :
This indicator is designed to quickly help you identify the trend direction on multiple timeframes and potentially make more informed trading decisions.
You should consider it as an extra tool to complement your strategy, but you should not solely rely on it for making trading decisions.
Always perform your own analysis and risk management before executing trades.
The indicator will only show a Dashboard. The EMAs, RSI and MACD you see on the chart image have been added just to demonstrate how the script works.
DETAILED SCRIPT EXPLANATION
INPUTS:
theme : Allows selecting the color theme (options: "Dark" or "Light").
emaFastPeriod : The period for the fast EMA.
emaSlowPeriod : The period for the slow EMA.
macdFastLength : The fast length for MACD calculation.
macdSlowLength : The slow length for MACD calculation.
macdSignalLength : The signal length for MACD calculation.
rsiPeriod : The period for RSI calculation.
rsiBullishLevel : The level used to determine Bullish RSI condition, when RSI is above this value. It should always be higher than rsiBearishLevel.
rsiBearishLevel : The level used to determine Bearish RSI condition, when RSI is below this value. It should always be lower than rsiBullishLevel.
CALCULATIONS:
The script calculates EMAs on multiple timeframes (15-minute, 30-minute, 1-hour, 4-hour, daily, and weekly) using the request.security() function.
Similarly, the script calculates MACD values ( macdLine , signalLine ) on the same multiple timeframes using the request.security() function along with the ta.macd() function.
RSI values are also calculated for each timeframe using the request.security() function along with the ta.rsi() function.
The script then determines the EMA trends for each timeframe by comparing the fast and slow EMAs using simple boolean expressions.
Similarly, it determines the MACD trends for each timeframe by comparing the MACD line with the signal line.
Lastly, it determines the RSI trends for each timeframe by comparing the RSI values with the Bullish and Bearish RSI levels.
PLOTTING AND DASHBOARD:
Color codes are defined based on the EMA, MACD, and RSI trends for each timeframe. Green for Bullish, Red for Bearish.
A dashboard is created using the table.new() function, displaying the trend information for each timeframe with arrows representing Bullish or Bearish conditions.
The dashboard will appear in the top-right corner of the chart, showing the Bullish and Bearish trends for each timeframe (15M, 30M, 1H, 4H, 1D, and 1W) based on EMA, MACD, and RSI analysis. Green arrows represent Bullish trends, red arrows represent Bearish trends, and no arrows indicate Neutral conditions.
INFO ON USED INDICATORS:
1 — EXPONENTIAL MOVING AVERAGE (EMA)
The Exponential Moving Average (EMA) is a type of moving average (MA) that places a greater weight and significance on the most recent data points.
The EMA is calculated by taking the average of the true range over a specified period. The true range is the greatest of the following:
The difference between the current high and the current low.
The difference between the previous close and the current high.
The difference between the previous close and the current low.
The EMA can be used by traders to produce buy and sell signals based on crossovers and divergences from the historical average. Traders often use several different EMA lengths, such as 10-day, 50-day, and 200-day moving averages.
The formula for calculating EMA is as follows:
Compute the Simple Moving Average (SMA).
Calculate the multiplier for weighting the EMA.
Calculate the current EMA using the following formula:
EMA = Closing price x multiplier + EMA (previous day) x (1-multiplier)
2 — MOVING AVERAGE CONVERGENCE DIVERGENCE (MACD)
The Moving Average Convergence Divergence (MACD) is a popular trend-following momentum indicator used in technical analysis. It helps traders identify changes in the strength, direction, momentum, and duration of a trend in a financial instrument's price.
The MACD is calculated by subtracting a longer-term Exponential Moving Average (EMA) from a shorter-term EMA. The most commonly used time periods for the MACD are 26 periods for the longer EMA and 12 periods for the shorter EMA. The difference between the two EMAs creates the main MACD line.
Additionally, a Signal Line (usually a 9-period EMA) is computed, representing a smoothed version of the MACD line. Traders watch for crossovers between the MACD line and the Signal Line, which can generate buy and sell signals. When the MACD line crosses above the Signal Line, it generates a bullish signal, indicating a potential uptrend. Conversely, when the MACD line crosses below the Signal Line, it generates a bearish signal, indicating a potential downtrend.
In addition to the MACD line and Signal Line crossovers, traders often look for divergences between the MACD and the price chart. Divergence occurs when the MACD is moving in the opposite direction of the price, which can suggest a potential trend reversal.
3 — RELATIVE STRENGHT INDEX (RSI):
The Relative Strength Index (RSI) is another popular momentum oscillator used by traders to assess the overbought or oversold conditions of a financial instrument. The RSI ranges from 0 to 100 and measures the speed and change of price movements.
The RSI is calculated based on the average gain and average loss over a specified period, commonly 14 periods. The formula involves several steps:
Calculate the average gain over the specified period.
Calculate the average loss over the specified period.
Calculate the relative strength (RS) by dividing the average gain by the average loss.
Calculate the RSI using the following formula: RSI = 100 - (100 / (1 + RS))
The RSI oscillates between 0 and 100, where readings above 70 are considered overbought, suggesting that the price may have risen too far and could be due for a correction. Readings below 30 are considered oversold, suggesting that the price may have dropped too much and could be due for a rebound.
Traders often use the RSI to identify potential trend reversals. For example, when the RSI crosses above 30 from below, it may indicate the start of an uptrend, and when it crosses below 70 from above, it may indicate the start of a downtrend. Additionally, traders may look for bullish or bearish divergences between the RSI and the price chart, similar to the MACD analysis, to spot potential trend changes.
peacefulIndicatorsWe are delighted to present the PeacefulIndicators library, a modest yet powerful collection of custom technical indicators created to enhance your trading analysis. The library features an array of practical tools, including MACD with Dynamic Length, Stochastic RSI with ATR Stop Loss, Bollinger Bands with RSI Divergence, and more.
The PeacefulIndicators library offers the following functions:
macdDynamicLength: An adaptive version of the classic MACD indicator, which adjusts the lengths of the moving averages based on the dominant cycle period, providing a more responsive signal.
rsiDivergence: A unique implementation of RSI Divergence detection that identifies potential bullish and bearish divergences using a combination of RSI and linear regression.
trendReversalDetection: A helpful tool for detecting trend reversals using the Rate of Change (ROC) and Moving Averages, offering valuable insights into possible market shifts.
volume_flow_oscillator: A custom oscillator that combines price movement strength and volume to provide a unique perspective on market dynamics.
weighted_volatility_oscillator: Another custom oscillator that factors in price volatility and volume to deliver a comprehensive view of market fluctuations.
rvo: The Relative Volume Oscillator highlights changes in volume relative to historical averages, helping to identify potential breakouts or reversals.
acb: The Adaptive Channel Breakout indicator combines a moving average with an adjustable volatility multiplier to create dynamic channels, useful for identifying potential trend shifts.
We hope this library proves to be a valuable addition to your trading toolbox.
Library "peacefulIndicators"
A custom library of technical indicators for trading analysis, including MACD with Dynamic Length, Stochastic RSI with ATR Stop Loss, Bollinger Bands with RSI Divergence, and more.
macdDynamicLength(src, shortLen, longLen, signalLen, dynLow, dynHigh)
Moving Average Convergence Divergence with Dynamic Length
Parameters:
src (float) : Series to use
shortLen (int) : Shorter moving average length
longLen (int) : Longer moving average length
signalLen (int) : Signal line length
dynLow (int) : Lower bound for the dynamic length
dynHigh (int) : Upper bound for the dynamic length
Returns: tuple of MACD line and Signal line
Computes MACD using lengths adapted based on the dominant cycle period
rsiDivergence(src, rsiLen, divThreshold, linRegLength)
RSI Divergence Detection
Parameters:
src (float) : Series to use
rsiLen (simple int) : Length for RSI calculation
divThreshold (float) : Divergence threshold for RSI
linRegLength (int) : Length for linear regression calculation
Returns: tuple of RSI Divergence (positive, negative)
Computes RSI Divergence detection that identifies bullish (positive) and bearish (negative) divergences
trendReversalDetection(src, rocLength, maLength, maType)
Trend Reversal Detection (TRD)
Parameters:
src (float) : Series to use
rocLength (int) : Length for Rate of Change calculation
maLength (int) : Length for Moving Average calculation
maType (string) : Type of Moving Average to use (default: "sma")
Returns: A tuple containing trend reversal direction and the reversal point
Detects trend reversals using the Rate of Change (ROC) and Moving Averages.
volume_flow_oscillator(src, length)
Volume Flow Oscillator
Parameters:
src (float) : Series to use
length (int) : Period for the calculation
Returns: Custom Oscillator value
Computes the custom oscillator based on price movement strength and volume
weighted_volatility_oscillator(src, length)
Weighted Volatility Oscillator
Parameters:
src (float) : Series to use
length (int) : Period for the calculation
Returns: Custom Oscillator value
Computes the custom oscillator based on price volatility and volume
rvo(length)
Relative Volume Oscillator
Parameters:
length (int) : Period for the calculation
Returns: Custom Oscillator value
Computes the custom oscillator based on relative volume
acb(price_series, ma_length, vol_length, multiplier)
Adaptive Channel Breakout
Parameters:
price_series (float) : Price series to use
ma_length (int) : Period for the moving average calculation
vol_length (int) : Period for the volatility calculation
multiplier (float) : Multiplier for the volatility
Returns: Tuple containing the ACB upper and lower values and the trend direction (1 for uptrend, -1 for downtrend)
Koalafied RSI// Concept developed from RSI : The Complete Guide by John Hayden
// RSI is regarded as a momentum indicator. 2:1 momentum is associated with RSI values of 66.67 and 33.33 respectfully. In an Uptrend an RSI value of 40 should not be broken and in a downtrend
// a RSI value of 60 should not be exceeded. 4:1 momentum (RSI values of 80/20) can be associated with extreme market conditions, typically thought of as being Overbought or Oversold.
// Simple divergence provides a strong indication that the preceding trend will resume as soon as the retracement is completed. Multiple long-term divergences (not shown in this indicator)
// increase the likelihood that the preceding trend has ended.
// An Uptrend is indicated when:
// 1. RSI values remain in an 80/40 range
// 2. Presence of bearish divergences
// 3. Hidden bullish divergences are seen
// A Downtrend is indicated when:
// 1. RSI values remain in a 60/20 range
// 2. Presence of bullish divergence
// 3. Hidden bearish divergence is seen
// Personal additions to John Haydens concepts are horizontal pivot breaks and diagonal trendline breaks. The 80/20 line color shows the last break of horizontal pivot points, while the rsi
// line changes color with diagonal breaks. Additional support/resistance is shown by 66.67 and 33.33 lines.
SMA + Trend Strength + Trailing Stop LossThe 'SMA + Trend Strength + Trailing Stop Loss' indicator was designed for swing trading long positions over the course of days/weeks. The benefit of the indicator is to identify areas where the market of a given asset is showing signs of a strong uptrend, divergences, and fear. A 13-bar simple moving average is color coded to four colors based on 5 given conditions at a time, which are represented as a trend meter on the bottom right of the screen. A trailing stop loss indicator is included to secure your profits or limit your loss in case the market reverses on you unexpected. Please use this indicator responsibly with proper risk management, and never rely on the indicator by itself for buy and sell signals.
When the simple moving average color is green, it means that at least 4 of 5 conditions are confirming a move upwards, this is when you can take an entry into a trade based on your entry strategy. As the trend continues, the color will eventually change to yellow signaling a divergence. This is when you can use your exit strategy to find a good point to sell. It is wise not to take new positions when the color is trending yellow.
If the color changes from yellow to orange, that is a warning sign that the trend is about to change or has begun to change. Prices may have already fallen. However, sometimes the color will change from yellow back to green signaling a continuation of the trend. You can either keep holding or take a new position in this instance.
When the color is red, this signals fear in the market, you should stay out of the market at first. However, as the market consolidates and the color starts changing back to orange, this is an opportunity to take a long position at a reasonably low price.
Simple Moving Average (13-Bar) Color Explanation:
The colors change based on 5 market conditions represented in the trend meter.
Green: Strong Uptrend
Yellow: Divergence Present
Orange: Warning
Red: Fear
Trend Meter Explanation:
The trend meter draws 5 arrows indicating bullish or bearish presence.
LL = Lower Lows - Detects when the market is trending with lower lows.
HH = Higher Highs - Detects when the market is trending with higher highs.
MA = SMA Direction - A formula is used to determine the direction of the SMA.
DI = Directional Index - Identifies when upwards momentum is trending.
RSI = Relative Strength Index - Identifies when the RSI is in an uptrend state.
Note: For advanced users, this indicator has a hidden DMI(4, 4, 4) and RSI(14) indicator used to determine the last two conditions. The Directional Index is based on a DI Plus momentum moving average to determine a momentum trend and the RSI trending over 50 will constitute an uptrend signal as below 50 it will point down.
Trailing stop loss:
The trailing stop loss is determined based on the lowest price of the last 8 bars.
A gray step-line is drawn at the suggested stop activation price.
A red step-line is drawn at the suggested stop limit price.
When the price breaches the trailing stop, a red X will appear below the bar.
You can turn each of these features on or off based on your preference. Happy trading!
RSI with HMA & Momentum ZonesRSI with HMA & Momentum Zones — Indicator Description
This indicator combines Relative Strength Index (RSI) analysis with Hull Moving Averages (HMA) and Momentum Zone detection to provide a multi-layered view of market strength, trend shifts, and divergence signals.
It includes:
Main Features:
RSI Core:
Standard RSI calculated from a customizable source (close, open, etc.) with adjustable length.
A dynamic RSI Signal Line is plotted with selectable smoothing types (SMA, EMA, SMMA, WMA, VWMA) to enhance trend-following signals.
RSI crossovers of its signal line change color (green for bullish crossovers, red for bearish crossunders).
Hull Moving Averages (HMA):
Two HMA lines are plotted based on the RSI:
Short HMA (fast) and Long HMA (slow).
Color shifts indicate crossovers between RSI and Short HMA (short-term trend change) and Short HMA vs Long HMA (longer-term trend shifts).
Momentum Zones:
When the gap between the RSI and the Long HMA exceeds a user-defined threshold:
A green background highlights strong bullish momentum.
A red background highlights strong bearish momentum.
Helps visualize when momentum becomes extended.
Divergence Detection (Optional):
Regular and hidden bullish and bearish divergences are automatically detected between price and RSI.
Divergences are plotted on the RSI pane with labels ("Bull", "H Bull", "Bear", "H Bear").
Adjustable lookback settings for fine-tuning sensitivity.
Alerts are available for all divergence events.
Visual Enhancements:
A shaded cloud fills between RSI and its signal line, green for bullish bias and red for bearish bias.
Horizontal bands at 70, 50, and 30 levels to mark traditional RSI zones (overbought, neutral, oversold).
Customization Options:
All major components — RSI settings, Signal Line type, HMA lengths, Momentum Zone threshold, and Divergence controls — are fully adjustable.
Trading-Focused RSI with Quality SignalsOverview
Transforms the classic Relative Strength Index into a comprehensive trading system that delivers clear, high-quality signals. Unlike basic RSI indicators that leave interpretation to the trader, TraderRSI filters out noise and highlights only the most promising trading opportunities.
Key Features
Signal Quality Over Quantity
Smart Divergence Detection that identifies only significant, tradable divergences (not every minor oscillation)
Automated Signal Confirmation requiring persistence for multiple bars to eliminate false signals
Clear BUY/SELL Labels appear only on high-probability setups where multiple conditions align
Enhanced Visualization
Color-Coded RSI Line instantly communicates bullish/bearish momentum
Signal Line Crossovers to confirm trend changes early
Trend-Based Background Coloring providing immediate market context
Uncluttered Chart designed specifically for day traders and swing traders
Integrated Market Context
Optional Trend Filter using a 50-period moving average for directional bias
Overbought/Oversold Zones with subtle background highlighting
Divergence Strength Filtering ensures only meaningful divergences are displayed
Trading Applications
For Day Traders
Find precise entry and exit points with clear visual signals. Divergence signals combined with RSI crossovers provide powerful intraday setups.
For Swing Traders
The quality-focused signal system identifies only high-probability trend reversals, perfect for multi-day positions. Background coloring provides immediate trend context.
For Investors
Easily identify overbought or oversold conditions in your watchlist. The trend filter helps distinguish between temporary pullbacks and major reversals.
How to Use
Strong Buy Signal: When a green "BUY" label appears, RSI has crossed above the oversold level with bullish divergence confirmation and (optional) trend alignment
Strong Sell Signal: When a red "SELL" label appears, RSI has crossed below the overbought level with bearish divergence confirmation and (optional) trend alignment
Alert System: Set alerts on any of the eight customizable conditions to never miss a quality trade setup
JW Momentum IndicatorJW Momentum Indicator
This indicator provides clear and actionable buy/sell signals based on a combination of volume-enhanced momentum, divergence detection, and volatility adjustment. It's designed to identify potential trend reversals and momentum shifts with a focus on high-probability setups.
Key Features:
Volume-Enhanced Momentum: The indicator calculates a custom oscillator that combines momentum with volume, giving more weight to momentum when volume is significant. This helps to identify strong momentum moves.
Divergence Detection: It detects bullish and bearish divergences using pivot highs and lows, highlighting potential trend reversals.
Volatility-Adjusted Signals: The indicator adjusts signal sensitivity based on the Average True Range (ATR), making it more reliable in varying market conditions.
Clear Visuals: Buy and sell signals are clearly indicated with up and down triangles, while divergences are highlighted with distinct labels.
How to Use:
Buy Signals: Look for green up triangles or bullish divergence labels.
Sell Signals: Look for red down triangles or bearish divergence labels.
Oscillator and Thresholds: Use the plotted oscillator and thresholds to confirm signal strength.
Parameters:
Momentum Period: Adjusts the length of the momentum calculation.
Volume Average Period: Adjusts the length of the volume average calculation.
Volatility Period: Adjusts the length of the ATR calculation.
Volatility Multiplier: Adjusts the sensitivity of the volatility-adjusted signals.
Disclaimer:
This indicator is for informational purposes only and should not be considered financial advice. Always conduct 1 thorough research and use appropriate risk management techniques when trading.
Quarterly Theory ICT 03 [TradingFinder] Precision Swing Points🔵 Introduction
Precision Swing Point (PSP) is a divergence pattern in the closing of candles between two correlated assets, which can indicate a potential trend reversal. This structure appears at market turning points and highlights discrepancies between the price behavior of two related assets.
PSP typically forms in key timeframes such as 5-minute, 15-minute, and 90-minute charts, and is often used in combination with Smart Money Concepts (SMT) to confirm trade entries.
PSP is categorized into Bearish PSP and Bullish PSP :
Bearish PSP : Occurs when an asset breaks its previous high, and its middle candle closes bullish, while the correlated asset closes bearish at the same level. This divergence signals weakness in the uptrend and a potential price reversal downward.
Bullish PSP : Occurs when an asset breaks its previous low, and its middle candle closes bearish, while the correlated asset closes bullish at the same level. This suggests weakness in the downtrend and a potential price increase.
🟣 Trading Strategies Using Precision Swing Point (PSP)
PSP can be integrated into various trading strategies to improve entry accuracy and filter out false signals. One common method is combining PSP with SMT (divergence between correlated assets), where traders identify divergence and enter a trade only after PSP confirms the move.
Additionally, PSP can act as a liquidity gap, meaning that price tends to react to the wick of the PSP candle, making it a favorable entry point with a tight stop-loss and high risk-to-reward ratio. Furthermore, PSP combined with Order Blocks and Fair Value Gaps in higher timeframes allows traders to identify stronger reversal zones.
In lower timeframes, such as 5-minute or 15-minute charts, PSP can serve as a confirmation for more precise entries in the direction of the higher timeframe trend. This is particularly useful in scalping and intraday trading, helping traders execute smarter entries while minimizing unnecessary stop-outs.
🔵 How to Use
PSP is a trading pattern based on divergence in candle closures between two correlated assets. This divergence signals a difference in trend strength and can be used to identify precise market turning points. PSP is divided into Bullish PSP and Bearish PSP, each applicable for long and short trades.
🟣 Bullish PSP
A Bullish PSP forms when, at a market turning point, the middle candle of one asset closes bearish while the correlated asset closes bullish. This discrepancy indicates weakness in the downtrend and a potential price reversal upward.
Traders can use this as a signal for long (buy) trades. The best approach is to wait for price to return to the wick of the PSP candle, as this area typically acts as a liquidity level.
f PSP forms within an Order Block or Fair Value Gap in a higher timeframe, its reliability increases, allowing for entries with tight stop-loss and optimal risk-to-reward ratios.
🟣 Bearish PSP
A Bearish PSP forms when, at a market turning point, the middle candle of one asset closes bullish while the correlated asset closes bearish. This indicates weakness in the uptrend and a potential price decline.
Traders use this pattern to enter short (sell) trades. The best entry occurs when price retests the wick of the PSP candle, as this level often acts as a resistance zone, pushing price lower.
If PSP aligns with a significant liquidity area or Order Block in a higher timeframe, traders can enter with greater confidence and place their stop-loss just above the PSP wick.
Overall, PSP is a highly effective tool for filtering false signals and improving trade entry precision. Combining PSP with SMT, Order Blocks, and Fair Value Gaps across multiple timeframes allows traders to execute higher-accuracy trades with lower risk.
🔵 Settings
Mode :
2 Symbol : Identifies PSP and PCP between two correlated assets.
3 Symbol : Compares three assets to detect more complex divergences and stronger confirmation signals.
Second Symbol : The second asset used in PSP and correlation calculations.
Third Symbol : Used in three-symbol mode for deeper PSP and PCP analysis.
Filter Precision X Point : Enables or disables filtering for more precise PSP and PCP detection. This filter only identifies PSP and PCP when the base asset's candle qualifies as a Pin Bar.
Trend Effect : By changing the Trend Effect status to "Off," all Pin bars, whether bullish or bearish, are displayed regardless of the current market trend. If the status remains "On," only Pin bars in the direction of the main market trend are shown.
Bullish Pin Bar Setting : Using the "Ratio Lower Shadow to Body" and "Ratio Lower Shadow to Higher Shadow" settings, you can customize your bullish Pin bar candles. Larger numbers impose stricter conditions for identifying bullish Pin bars.
Bearish Pin Bar Setting : Using the "Ratio Higher Shadow to Body" and "Ratio Higher Shadow to Lower Shadow" settings, you can customize your bearish Pin bar candles. Larger numbers impose stricter conditions for identifying bearish Pin bars.
🔵 Conclusion
Precision Swing Point (PSP) is a powerful analytical tool in Smart Money trading strategies, helping traders identify precise market turning points by detecting divergences in candle closures between correlated assets. PSP is classified into Bullish PSP and Bearish PSP, each playing a crucial role in detecting trend weaknesses and determining optimal entry points for long and short trades.
Using the PSP wick as a key liquidity level, integrating it with SMT, Order Blocks, and Fair Value Gaps, and analyzing higher timeframes are effective techniques to enhance trade entries. Ultimately, PSP serves as a complementary tool for improving entry accuracy and reducing unnecessary stop-outs, making it a valuable addition to Smart Money trading methodologies.
Enhanced ROC - Savitzky–Golay [AIBitcoinTrend]👽 Adaptive ROC - Savitzky–Golay (AIBitcoinTrend)
The Adaptive ROC - Savitzky–Golay redefines traditional Rate of Change (ROC) analysis by integrating Savitzky–Golay smoothing with volatility-adaptive normalization, allowing it to dynamically adjust across different market conditions. Unlike the standard ROC, which reacts rigidly to price changes, this advanced version refines trend signals while maintaining responsiveness to volatility.
Additionally, this indicator features real-time divergence detection and an ATR-based trailing stop system, equipping traders with a powerful toolset for momentum analysis, reversals, and trend-following strategies.
👽 What Makes the Adaptive ROC - Savitzky–Golay Unique?
Unlike conventional ROC indicators, this enhanced version leverages volatility-adjusted scaling and Z-score normalization to improve signal consistency across different timeframes and assets.
✅ Savitzky–Golay Smoothing – Reduces noise while preserving trend structure for clearer signals.
✅ Volatility-Adaptive Normalization – Ensures that overbought and oversold thresholds remain consistent across different markets.
✅ Real-Time Divergence Detection – Identifies early bullish and bearish divergence signals for potential reversals.
✅ Crossovers & ATR-Based Trailing Stops – Implements intelligent trade management with dynamic stop levels.
👽 The Math Behind the Indicator
👾 Savitzky–Golay Smoothing
The indicator applies a Savitzky–Golay filter to the raw ROC data, creating a smoother curve while preserving key inflection points. This technique prevents excessive lag while maintaining the integrity of price movements.
sg_roc = (roc_raw + 3*roc_raw + 5*roc_raw + 7*roc_raw + 5*roc_raw + 3*roc_raw + roc_raw ) / 25
👾 Volatility-Adaptive Scaling
By dynamically adjusting the smoothed ROC using standard deviation, the indicator ensures that momentum readings remain relative to the market’s current volatility.
volatility = ta.stdev(close, rocLength)
dynamicFactor = 1 / (1 + volatility / 100)
advanced_sg_roc = sg_roc * dynamicFactor
👾 Z-Score Normalization
To maintain a stable Overbought/Oversold structure across different markets, the ROC is normalized using a Z-score transformation, ensuring its values remain statistically relevant.
rocMean = ta.wma(advanced_sg_roc, lenZ)
rocStdev = ta.stdev(advanced_sg_roc, lenZ)
zRoc = (advanced_sg_roc - rocMean) / rocStdev
👽 How Traders Can Use This Indicator
👾 Divergence Trading Strategy
Bullish Divergence Setup:
Price makes a lower low, while the ROC forms a higher low.
A buy signal is confirmed when the ROC starts rising.
Bearish Divergence Setup:
Price makes a higher high, while the ROC forms a lower high.
A sell signal is confirmed when the ROC starts declining.
👾 Buy & Sell Signals with Trailing Stop
Bullish Setup:
✅ ROC crosses above the bullish trigger level → Buy Signal.
✅ A bullish trailing stop is placed at Low - (ATR × Multiplier).
✅ Exit if price crosses below the stop.
Bearish Setup:
✅ ROC crosses below the bearish trigger level → Sell Signal.
✅ A bearish trailing stop is placed at High + (ATR × Multiplier).
✅ Exit if price crosses above the stop.
👽 Why It’s Useful for Traders
Savitzky–Golay Filtering – Retains essential trend details while eliminating excessive noise.
Volatility-Adjusted Normalization – Makes overbought/oversold levels universally reliable across markets.
Real-Time Divergence Alerts – Identifies early reversal signals for optimal entries and exits.
ATR-Based Risk Management – Ensures stops dynamically adapt to market conditions.
Works Across Markets & Timeframes - Suitable for stocks, forex, crypto, and futures trading.
👽 Indicator Settings
ROC Period – Defines the number of bars used for ROC calculation.
Smoothing Strength – Adjusts the degree of Savitzky–Golay filtering.
Volatility Scaling – Enables or disables the adaptive volatility factor.
Enable Divergence Analysis – Turns on real-time divergence detection.
Lookback Period – Specifies the pivot detection period for divergences.
Enable Crosses Signals – Activates trade signals based on ROC crossovers.
ATR Multiplier – Controls the sensitivity of the trailing stop.
Disclaimer: This indicator is designed for educational purposes and does not constitute financial advice. Please consult a qualified financial advisor before making investment decisions.
EMD Oscillator (Zeiierman)█ Overview
The Empirical Mode Decomposition (EMD) Oscillator is an advanced indicator designed to analyze market trends and cycles with high precision. It breaks down complex price data into simpler parts called Intrinsic Mode Functions (IMFs), allowing traders to see underlying patterns and trends that aren’t visible with traditional indicators. The result is a dynamic oscillator that provides insights into overbought and oversold conditions, as well as trend direction and strength. This indicator is suitable for all types of traders, from beginners to advanced, looking to gain deeper insights into market behavior.
█ How It Works
The core of this indicator is the Empirical Mode Decomposition (EMD) process, a method typically used in signal processing and advanced scientific fields. It works by breaking down price data into various “layers,” each representing different frequencies in the market’s movement. Imagine peeling layers off an onion: each layer (or IMF) reveals a different aspect of the price action.
⚪ Data Decomposition (Sifting): The indicator “sifts” through historical price data to detect natural oscillations within it. Each oscillation (or IMF) highlights a unique rhythm in price behavior, from rapid fluctuations to broader, slower trends.
⚪ Adaptive Signal Reconstruction: The EMD Oscillator allows traders to select specific IMFs for a custom signal reconstruction. This reconstructed signal provides a composite view of market behavior, showing both short-term cycles and long-term trends based on which IMFs are included.
⚪ Normalization: To make the oscillator easy to interpret, the reconstructed signal is scaled between -1 and 1. This normalization lets traders quickly spot overbought and oversold conditions, as well as trend direction, without worrying about the raw magnitude of price changes.
The indicator adapts to changing market conditions, making it effective for identifying real-time market cycles and potential turning points.
█ Key Calculations: The Math Behind the EMD Oscillator
The EMD Oscillator’s advanced nature lies in its high-level mathematical operations:
⚪ Intrinsic Mode Functions (IMFs)
IMFs are extracted from the data and act as the building blocks of this indicator. Each IMF is a unique oscillation within the price data, similar to how a band might be divided into treble, mid, and bass frequencies. In the EMD Oscillator:
Higher-Frequency IMFs: Represent short-term market “noise” and quick fluctuations.
Lower-Frequency IMFs: Capture broader market trends, showing more stable and long-term patterns.
⚪ Sifting Process: The Heart of EMD
The sifting process isolates each IMF by repeatedly separating and refining the data. Think of this as filtering water through finer and finer mesh sieves until only the clearest parts remain. Mathematically, it involves:
Extrema Detection: Finding all peaks and troughs (local maxima and minima) in the data.
Envelope Calculation: Smoothing these peaks and troughs into upper and lower envelopes using cubic spline interpolation (a method for creating smooth curves between data points).
Mean Removal: Calculating the average between these envelopes and subtracting it from the data to isolate one IMF. This process repeats until the IMF criteria are met, resulting in a clean oscillation without trend influences.
⚪ Spline Interpolation
The cubic spline interpolation is an advanced mathematical technique that allows smooth curves between points, which is essential for creating the upper and lower envelopes around each IMF. This interpolation solves a tridiagonal matrix (a specialized mathematical problem) to ensure that the envelopes align smoothly with the data’s natural oscillations.
To give a relatable example: imagine drawing a smooth line that passes through each peak and trough of a mountain range on a map. Spline interpolation ensures that line is as smooth and close to reality as possible. Achieving this in Pine Script is technically demanding and demonstrates a high level of mathematical coding.
⚪ Amplitude Normalization
To make the oscillator more readable, the final signal is scaled by its maximum amplitude. This amplitude normalization brings the oscillator into a range of -1 to 1, creating consistent signals regardless of price level or volatility.
█ Comparison with Other Signal Processing Methods
Unlike standard technical indicators that often rely on fixed parameters or pre-defined mathematical functions, the EMD adapts to the data itself, capturing natural cycles and irregularities in real-time. For example, if the market becomes more volatile, EMD adjusts automatically to reflect this without requiring parameter changes from the trader. In this way, it behaves more like a “smart” indicator, intuitively adapting to the market, unlike most traditional methods. EMD’s adaptive approach is akin to AI’s ability to learn from data, making it both resilient and robust in non-linear markets. This makes it a great alternative to methods that struggle in volatile environments, such as fixed-parameter oscillators or moving averages.
█ How to Use
Identify Market Cycles and Trends: Use the EMD Oscillator to spot market cycles that represent phases of buying or selling pressure. The smoothed version of the oscillator can help highlight broader trends, while the main oscillator reveals immediate cycles.
Spot Overbought and Oversold Levels: When the oscillator approaches +1 or -1, it may indicate that the market is overbought or oversold, signaling potential entry or exit points.
Confirm Divergences: If the price movement diverges from the oscillator's direction, it may indicate a potential reversal. For example, if prices make higher highs while the oscillator makes lower highs, it could be a sign of weakening trend strength.
█ Settings
Window Length (N): Defines the number of historical bars used for EMD analysis. A larger window captures more data but may slow down performance.
Number of IMFs (M): Sets how many IMFs to extract. Higher values allow for a more detailed decomposition, isolating smaller cycles within the data.
Amplitude Window (L): Controls the length of the window used for amplitude calculation, affecting the smoothness of the normalized oscillator.
Extraction Range (IMF Start and End): Allows you to select which IMFs to include in the reconstructed signal. Starting with lower IMFs captures faster cycles, while ending with higher IMFs includes slower, trend-based components.
Sifting Stopping Criterion (S-number): Sets how precisely each IMF should be refined. Higher values yield more accurate IMFs but take longer to compute.
Max Sifting Iterations (num_siftings): Limits the number of sifting iterations for each IMF extraction, balancing between performance and accuracy.
Source: The price data used for the analysis, such as close or open prices. This determines which price movements are decomposed by the indicator.
-----------------
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!
SMI Ergodic Indicator/Oscillator▮ Introduction
The Stochastic Momentum Index Ergodic Indicator (SMII) is a technical analysis tool designed to predict trend reversals in the price of an asset.
It functions as a momentum oscillator, measuring the ratio of the smoothed price change to the smoothed absolute price change over a given number of previous periods.
The Ergodic SMI is based on the True Strength Index (TSI) and integrates a signal line, which is an exponential moving average (EMA) of the SMI indicator itself.
It provides a clearer picture of market trends than the traditional stochastic oscillator by incorporating the concept of "ergodicity", which helps remove market noise.
On ther other hand, the Stochastic Momentum Index Ergodic Oscillator (SMIO) is a histogram that measures the difference between TSI and it's signal line.
By default, in TradingView both SMII and SMIO are provided independently.
Here in this script these two indicators are combined, providing a more comprehensive view of price direction and market strength.
▮ Motivation: why another indicator?
The intrinsic value of this indicator lies in the fact that it allows fine adjustments in both calculation parameters, data source and visualization, features that are not present in the standard indicators or similar.
Also, trend lines breakouts and divergences detector were added.
▮ What to look for
When using the indicator, there are a few things to look out for.
First, look at the SMI signal line.
When the line crosses above -40, it is considered a buy signal, while the crossing below +40 is considered a sell signal.
Also, pay attention to divergences between the SMI and the price.
If price is rising but the SMI is showing negative divergence, it could indicate that momentum is waning and a reversal could be in the offing.
Likewise, if price is falling but the SMI is showing positive divergence, this could indicate that momentum is building and a reversal could also be in the offing.
Divergences can be considered in both indicator and/or histogram.
Examples:
▮ Notes
The indicator presented here offers both the "SMII" and the "SMIO", that is, the "Stochastic Momentum Index Ergodic Indicator" together with the "Stochastic Momentum Index Ergodic Oscillator" (histogram), as per the documentation described in reference links.
So it is important to highlight the differences in relation to my other indicator, Stochastic Momentum Index (SMI) Refurbished .
This last one is purely based on the **SMI**, which is implemented using smoothed ratio between the relative range and the high/low range.
Although they may seem the same in some situations, the calculation is actually different. The TSI tends to be more responsive at the expense of being noisier, while the SMI tends to be smoother. Which of these two indicators is best depends on the situation, the context, and the analyst's personal preference.
Please refer to reference links to more info.
▮ References
SMI documentation
SMII documentation
SMIO documentation
Cumulative Delta [TradingFinder] Volume + Periodic + EMA🔵 Introduction
To fully grasp the concept of Cumulative Volume Delta (CVD), it's essential first to understand Volume Delta. In trading and technical analysis, the term "Delta" typically refers to the difference between two values or the rate of change between two data points.
Volume Delta represents the difference between buying and selling pressure, calculated for each candlestick on a chart. This difference can vary across different timeframes.
A positive delta indicates that buying volume exceeds selling volume, while a negative delta shows that selling volume is greater. When buying and selling volumes are equal, the volume delta equals zero.
🟣 What is Cumulative Volume Delta (CVD)?
Cumulative Volume Delta (CVD) is a powerful tool in technical analysis that aggregates delta values for each candlestick, creating a comprehensive indicator that helps traders assess market trends.
Unlike the standard Volume Delta, which compares delta on a candle-by-candle basis, CVD provides insight into the overall buying and selling pressure during key market swings. A downward-trending CVD suggests that selling pressure is dominating, which is typically a bearish signal.
Conversely, an upward-trending CVD indicates bullish sentiment. This analysis becomes even more significant when comparing CVD with price action and market structure, helping traders to predict asset price directions.
By evaluating market highs and lows, one can determine the market trend. A consistent rise in these points indicates an uptrend, while a consistent fall suggests a downtrend.
🔵 How to Use
Understanding how to detect trend changes using Cumulative Volume Delta is crucial for traders. Typically, CVD aligns with market structure, moving in the same direction as price trends.
However, divergences between CVD and price trends or signs of exhaustion in volume can be powerful indicators of potential market reversals. Recognizing these patterns can help traders make informed decisions and improve their trading strategies.
🟣 Identifying Trend Exhaustion with Cumulative Volume Delta (CVD)
The Cumulative Volume Delta (CVD) indicator is especially effective in identifying weakening trends in the market. For instance, if gold's price hits a new low, but CVD does not follow suit, this may indicate a lack of seller interest despite the new low, signaling potential seller exhaustion.
Most traders interpret this as a possible reversal from a bearish to a bullish trend. Similarly, if gold reaches a new high but CVD fails to do the same, it can suggest that buyers lack the strength to push the market higher, indicating a possible trend reversal.
🟣 Utilizing Cumulative Volume Delta (CVD) Divergence in Price Trend Analysis
Another effective use of CVD is identifying divergences in price trends. For example, if CVD breaks a previous high or low while the price remains stable, this divergence often indicates that buying or selling pressure is being absorbed.
For instance, if CVD rises sharply without a corresponding increase in gold prices, it may suggest that sellers are absorbing the buying pressure, potentially leading to a strong sell-off. Conversely, if gold prices remain stable while CVD declines, it could indicate that buyers are absorbing selling pressure, likely leading to a price increase once selling subsides.
🔵 Setting
Cumulative Mode : It has three modes "Total", "Periodic" and "EMA". In "Total" mode, it collects the volume from the beginning to the end. In "Periodic" mode, it accumulates the volume periodically and in "EMA" mode, it calculates the moving average of the volume.
Period : You can set the period of " Periodic " and " EMA " modes.
Market Ultra Data : If you turn on this feature, 26 large brokers will be included in the calculation of the trading volume.
The advantage of this capability is to have more reliable volume data. You should be careful to specify the market you are in, FOREX brokers and Crypto brokers are different.
🔵 Conclusion
Cumulative Volume Delta (CVD) is a powerful analytical tool in financial markets that helps analysts and traders assess buying and selling pressure by aggregating and combining the volume delta for each candlestick.
CVD can indicate the strength or weakness of a market trend. When CVD moves upward, it signals that buying pressure is dominant and is considered a bullish signal; conversely, a downward movement in CVD indicates that selling pressure is stronger and is viewed as a bearish signal.
This indicator is particularly effective in identifying divergences and exhaustion in market trends. For example, if CVD does not align with price movements, it may suggest a potential trend reversal.
Traders use this information to make more informed trading decisions, especially when identifying entry and exit points in the market.
Overall, CVD is a tool that enables analysts to better understand market fluctuations and more accurately predict future market trends.
Hullinger Percentile Oscillator [AlgoAlpha]🚀 Introducing the Hullinger Percentile Oscillator by AlgoAlpha! 🚀
This versatile Pine Script™ indicator is designed to help you identify swing trends and potential reversals with precision. Whether you're looking to catch market swings or spot divergences, the Hullinger Percentile Oscillator offers a comprehensive suite of features to enhance your trading strategy.
Key Features
🎯 Customizable Hullinger Settings: Adjust the main length, source, and standard deviation multipliers to fine-tune the indicator to your preferred trading style.
🔄 Dynamic Oscillator Modes: Switch between "Swing" mode for trend identification and "Contrarian" mode for reversal spotting, adapting the indicator to your market view.
📉 Divergence Detection: The indicator includes parameters to control the sensitivity and confirmation of divergence signals, helping to filter out noise and highlight significant market moves.
🌈 Color-Coded Visuals: Easily distinguish between bullish and bearish signals with customizable color settings for a clear visual representation on your chart.
🔔 Alert Integration: Stay ahead of the market with built-in alerts for key conditions, including strong and weak reversals, as well as bullish and bearish swings.
Quick Guide to Using the Hullinger Percentile Oscillator
Maximize your trading edge with the Hullinger Percentile Oscillator by following these steps! 📈✨
🛠 Add the Indicator: Add the indicator to favorites by pressing the star icon ⭐. Customize settings like Main Length, Oscillator Mode, and Appearance to fit your trading needs.
📊 Market Analysis: Use "Swing" mode to track trends and "Contrarian" mode to spot reversals. Watch for divergence signals to catch potential trend changes.
🔔 Alerts: Set up alerts to be notified of significant market movements without constantly monitoring your chart.
How It Works
The Hullinger Percentile Oscillator calculates its signals by applying a modified standard deviation approach to the Hull Moving Average (HMA) of a selected price source. It creates both inner and outer bands based on different multipliers. The oscillator then measures the position of the price relative to these bands, smoothing the result for swing trend detection. Depending on the chosen mode, the oscillator either highlights swing trends or potential reversals. Divergences are detected by comparing recent pivot highs and lows in both price and the oscillator, allowing you to spot bullish or bearish divergence setups. Alerts are triggered based on key crossovers or when specific conditions are met, ensuring that you are always informed of crucial market developments.
Volume Spread Analysis [AlgoAlpha]Unleash the power of Volume Spread Analysis (VSA) with our state-of-the-art indicator designed to detect market divergences and convergences, helping you make informed trading decisions. 📈
Key Features:
Detects bullish and bearish divergences based on volume and price movements. 📊🔍
Identifies bullish and bearish convergences, signaling potential trend continuations or reversals. 🔄📉
Customizable parameters for period length, volume SMA period, and outlier reduction factor. ⚙️🔧
Visual highlights for detected effects, with color-coded boxes and labels. 🟩🟥
Provides alerts for divergences and convergences, keeping you updated on market conditions. 🔔📬
📚 Introduction to Volume Spread Analysis (VSA) :
Volume Spread Analysis is a method used to interpret the relationship between volume and price to identify the intentions of market participants. By analyzing the spread (range) of a price bar and its corresponding volume, VSA helps traders discern market strength and potential reversals.
In VSA, harmony occurs when price and volume move in sync, such as when increasing prices(aka "Effect" in the script) are accompanied by increasing volume. This indicates a strong and healthy trend. Conversely, divergence happens when price and volume move in opposite directions. For example, if prices are rising lesser but volume is still high, it may signal a weakening trend and a potential reversal. Identifying these patterns helps traders understand market dynamics and make more informed trading decisions.
🛠 Quick Guide to Using the Volume Spread Analysis Indicator
⭐ Add the Indicator: Add the indicator to favorites by pressing the star icon. Customize settings such as period length, volume SMA period, and outlier reduction factor to fit your trading style.
📊 Market Analysis: Watch for color-coded boxes indicating effects and labels showing effort values. Look for divergences and convergences to identify potential trading opportunities. A higher work done suggests that the markets are needing to work harder to move the price and users can use that information as displayed below each trend impulse box to analyze the likely hood of trend continuation/reversals.
🔔 Alerts: Enable alerts for divergences and convergences to stay informed of critical market conditions without constant chart monitoring.
🔍 How It Works:
Our indicator meticulously analyzes volume and price data to detect significant market movements. It identifies periods where volume is above or below a moving average, marks these points, and tracks the price effect over a user-defined range. By calculating the effort (volume) and effect (price movement), it distinguishes between divergences and convergences based on predefined conditions. Bullish and bearish conditions are visually represented with color-coded boxes and labels, making it easy to spot trading opportunities. Alerts can be set to notify you of critical market conditions, ensuring you never miss a potential trade setup.
Happy trading! 📈🚀
VITAMIN: Volume Insight Trend Analyzer - Multilayered INdicator)Meet VITAMIN, an indicator created mainly to function as a confirmation volume indicator to integrate into strategies as a signal filter, but it can also be used as a general-purpose indicator to enhance market analysis through volume trend insights.
The name was choses to help with recall, with VITAMIN short for "Volume Insight Trend Analyzer - Multilayered INdicator".
The indicator is grounded in the net volume calculation, using TradingView's built-in Net Volume indicator as a starting point, and taking as a series of simple Moving Averages based on the Net Volume data.
Core Features:
Multilayered Analysis: VITAMIN layers multiple moving averages on top of net volume—volume adjusted for price movement direction—to filter market noise and reveal clearer volume trends.
Foundation in Net Volume: The starting point is net volume, which combines volume magnitude with the direction of price changes, offering a baseline for momentum analysis.
Visual Trend Indicators: The indicator uses green and red shading between its moving average layers and a reference zero line to visually denote bullish (green) and bearish (red) volume trends, simplifying the interpretation of market sentiment.
Utility of VITAMIN:
Volume plays a crucial role in market analysis, but interpreting volume directly can be complex due to inherent market noise. Net Volume in particular features a great deal of noise, as a sequence of spikes and dips from bar to bar. My purpose with this indicator was to separate the signal from the noise. VITAMIN's multilayered moving averages provide a smoother, more interpretable trend line that distinguishes significant market moves from short-term fluctuations.
Applications:
Confirming Trends: VITAMIN can help validate price trends. A price uptrend paired with a bullish volume trend indicated by VITAMIN may reinforce the strength of the movement.
Identifying Divergences: Observing discrepancies between price trends and VITAMIN's volume trends can highlight potential reversals or continuations.
Assessing Market Sentiment: The overall trend and colour shading within VITAMIN aims to provide insight into market sentiment.
VITAMIN is designed for simplicity and effectiveness, aiming to provide deeper insights into volume trends, supporting more informed decisions.
Like any indicator featuring moving averages, and averages of those averages, there is a built-in lag to this indicator, but this is the trade-off for removing noise from the signal. Adjust the user inputs to suit your time frame.
Buy/Sell Aggregated Delta Pressure - InFinitoModified & Updated script from MARKET VOLUME by Ricardo M Arjona @XeL_Arjona that Includes Aggregated Volume , Delta Buy/Sell Pressure
Aggregation code originally from Crypt0rus
***The indicator can be used for any coin/symbol to aggregate volume , but it has to be set up manually***
***The indicator can be used with specific symbol data only by disabling the aggregation option, which allows for it to be used on any symbol***
- Calculated based on Aggregated Volume instead of by symbol volume . Using aggregated data makes it more accurate and allows to compare volume flow between different kinds of markets (Spot, Futures , Perpetuals, Futures+Perpetuals and All Volume ).
- As well, in order to make the data as accurate as possible, the data from each exchange aggregated is normalized to report always in terms of 1 BTC . In case this indicator is used for another symbol, the calculations can be adjusted manually to make it always report data in terms of 1 contract/coin.
- Buy/Sell Pressure: Smoothens the buy and sell volume into a signal for each. Which makes it easier to identify Buy and Sell Volume Flow.
- Buy/Sell Delta Pressure: Calculates the difference between Buy & Sell Pressure and plots a Delta signal that shows who is in control currently.
- Buy/Sell + Delta Pressure: Displays both Buy & Sell Pressure and Delta pressure. This can help to visualize who is in control but also how much pressure there is on each side.
- A Moving Average can be plotted to the Delta pressure. This, with confluence, can give great entries/exits
Things to look for:
- Divergences: If price keeps moving in one direction but the pressure to that side decreases it can be inferred that the move might slow down soon or revert. As well if pressure to one side increases but price does not react to it, it signals that the other side is stronger.
- MA/Zero Crossovers: Delta Pressure Crossover of its moving average or the 0 Line can indicate direction changes prematurely
Aggregated Money Flow Index - InFinitoModified Version of In-Built Money Flow Index Indicator. Aggregated Volume is used for it's calculation + a couple of other features.
Aggregation code originally from Crypt0rus
***The indicator can be used for any coin/symbol to aggregate volume , but it has to be set up manually***
***The indicator can be used with specific symbol data only by disabling the aggregation option, which allows for it to be used on any symbol***
- Calculated based on Aggregated Volume instead of by symbol volume . Using aggregated data makes it more accurate and allows to compare volume flow between different kinds of markets (Spot, Futures , Perpetuals, Futures+Perpetuals and All Volume ).
- As well, in order to make the data as accurate as possible, the data from each exchange aggregated is normalized to report always in terms of 1 BTC . In case this indicator is used for another symbol, the calculations can be adjusted manually to make it always report data in terms of 1 contract/coin.
- Added Moving Average ( SMA , EMA , WMA , RMA, VWMA ) that can be plotted to the MFI
- Added 10/90 level and 45/55 range level
Things to look for:
- Divergences: Can be a very good reversal signal
- MA crossovers & Oversold/Overbought levels crossover: With proper confluence, entering a position at MA crossover and exiting at oversold/overbought levels can give very good swing setups (Or scalps on LTF)
- Center range retests: Once in a trend, retesting the middle range can give very good entries and confirmations of the trend
- Confluence of the latter: In combination, if more than one of these occur at the same time it can give more clarity regarding the current state of the market.
Aggregated Chaikin Money Flow - InFinitoModified Version of In-Built Chaikin Money Flow Indicator. Aggregated Volume is used for it's calculation + a couple of other features.
Aggregation code originally from Crypt0rus
***The indicator can be used for any coin/symbol to aggregate volume , but it has to be set up manually***
***The indicator can be used with specific symbol data only by disabling the aggregation option, which allows for it to be used on any symbol***
- Calculated based on Aggregated Volume instead of by symbol volume. Using aggregated data makes it more accurate and allows to compare volume flow between different kinds of markets (Spot, Futures , Perpetuals, Futures+Perpetuals and All Volume ).
- As well, in order to make the data as accurate as possible, the data from each exchange aggregated is normalized to report always in terms of 1 BTC. In case this indicator is used for another symbol, the calculations can be adjusted manually to make it always report data in terms of 1 contract/coin.
- Added Moving Average ( SMA , EMA , WMA , RMA, VWMA) that can be plotted to the CMF
- Changed 0 line to a small range which tends to be more relevant than the 0 line. This range can be manually modified
Things to look for:
- Divergences: Can be a very good reversal signal
- MA crossovers: Can be a very good confluent Buy/Sell signal
- Center range retests: CMF is normally defined as bullish above 0 and bearish below 0. In this case it is above or below the middle range. Even if the start of the move was missed. The retest of the middle range can give very good entries.
- Confluence of the latter
Combo Backtest 123 Reversal & Smoothed Williams ADThis is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
Accumulation is a term used to describe a market controlled by buyers;
whereas distribution is defined by a market controlled by sellers.
Williams recommends trading this indicator based on divergences:
Distribution of the security is indicated when the security is making
a new high and the A/D indicator is failing to make a new high. Sell.
Accumulation of the security is indicated when the security is making
a new low and the A/D indicator is failing to make a new low. Buy.
WARNING:
- For purpose educate only
- This script to change bars colors.
M-OscillatorThe M-Oscillator is a bounded oscillator that moves between (-14) and (+14), it gives early buy/sell signals, spots divergences, displays overbought/oversold levels, and provides re-entry points, and it also work as a trend identifier.
Interpretation
• M-Oscillator is plotted along the bottom of the price chart; it fluctuates between positive and negative 14.
• Movement above 10 is considered overbought, and movement below -10 is oversold.
• In sharp moves to the upside, the M-Oscillator fluctuates between 5 and 14, while in down side it fluctuates between -5 and -14.
• In an uptrend, the M-Oscillator fluctuates between zero and 14 and vice versa.
Trading tactics
Overbought/Oversold: We define the overbought area as anywhere above the 10 level.
The oversold area is below -10. When the M-Oscillator goes above 10 (overbought) and then re-crosses it to the downside, a sell signal is triggered.
When the M-Oscillator surpasses -10 to the downside and then re-crosses back above this level, a buy signal is triggered.
This tactic is only successful during sideways markets; during an uptrend, the oscillator will remain in its overbought territory for long period of times.
During a downtrend, it will remain in oversold for a long time.
Divergence
Divergence is one of the most striking features of the M-Oscillator.
It is a very important aspect of technical analysis that enhances trading tactics enormously; it shows hidden weakness or strength in the market, which is not apparent in the price action.
A positive divergence occurs when the price is declining and makes a lower low, while M-Oscillator witnesses a higher low.
A negative divergence occurs when the price is rising and makes a higher High, while the M-Oscillator makes a lower high, which indicates hidden weakness in the market.
Divergences are very important as they give us early hints of trend reversal (weekly chart)
Smoothened Williams Accumulation/Distribution (Williams AD) Accumulation is a term used to describe a market controlled by buyers;
whereas distribution is defined by a market controlled by sellers.
Williams recommends trading this indicator based on divergences:
Distribution of the security is indicated when the security is making
a new high and the A/D indicator is failing to make a new high. Sell.
Accumulation of the security is indicated when the security is making
a new low and the A/D indicator is failing to make a new low. Buy.
You can change long to short in the Input Settings
WARNING:
- For purpose educate only
- This script to change bars colors.
