Supertrend with ADX & MTF MA Filter# **Supertrend with ADX & MTF MA Filter - Comprehensive Explanation**
---
## **1. Purpose of This Indicator**
This indicator combines three powerful technical analysis tools to create a robust trading system:
✅ **Supertrend** (Trend-following)
✅ **ADX Filter** (Trend strength confirmation)
✅ **MTF MA Filter** (Multi-timeframe trend direction confirmation)
**Primary Goals:**
✔ **Identify high-probability trend reversals** with confirmation from multiple indicators
✔ **Filter out weak trends** using ADX (Average Directional Index)
✔ **Add higher timeframe context** with MTF (Multi-TimeFrame) Moving Average
✔ **Reduce false signals** by requiring confluence between all three components
---
## **2. Core Logic & Components**
### **A. Supertrend (Base Indicator)**
- **Calculation:**
```pine
up = hl2 - (Multiplier * ATR(Periods))
dn = hl2 + (Multiplier * ATR(Periods))
```
- **Bullish trend** when price > `up` (green line)
- **Bearish trend** when price < `dn` (red line)
- **Why Supertrend?**
- Simple yet effective trend-following system
- Adapts to volatility via ATR (Average True Range)
---
### **B. ADX Filter (Trend Strength Confirmation)**
- **ADX Calculation:**
```pine
= calcADX(adxLength, adxSmoothing)
strongTrend = adxVal >= adxThreshold
```
- **ADX > Threshold (Default: 20)** = Strong trend
- **DI+ > DI-** = Bullish momentum
- **DI- > DI+** = Bearish momentum
- **Why ADX?**
- Avoids trading in choppy markets (low ADX = weak trend)
- Confirms if Supertrend signals occur in a strong trend
---
### **C. MTF MA Filter (Higher Timeframe Trend Alignment)**
- **Moving Average Calculation:**
```pine
= getMA(maSource, maLength, maType, maTF)
```
- **MA Type:** SMA, EMA, WMA, or DEMA
- **Timeframe:** Any (1m, 5m, 1H, 4H, D, W, M)
- **Trend Direction:**
- **Buy Signal:** MA must be **rising**
- **Sell Signal:** MA must be **falling**
- **Why MTF MA?**
- Aligns trades with the **higher timeframe trend**
- Reduces counter-trend entries
---
## **3. How to Use This Indicator**
### **A. Buy Conditions (All Must Be True)**
1. **Supertrend turns bullish** (price crosses above `up` line)
2. **ADX ≥ Threshold** (trend is strong)
3. **Higher timeframe MA is rising** (confirms bullish bias)
### **B. Sell Conditions (All Must Be True)**
1. **Supertrend turns bearish** (price crosses below `dn` line)
2. **ADX ≥ Threshold** (trend is strong)
3. **Higher timeframe MA is falling** (confirms bearish bias)
### **C. Recommended Settings**
| Parameter | Recommended Value | Description |
|-----------|------------------|-------------|
| **ATR Period** | 14 | Sensitivity of Supertrend |
| **Multiplier** | 1.5-3.0 | Adjust for volatility |
| **ADX Threshold** | 20-25 | Higher = stricter trend filter |
| **MA Length** | 20-50 | Smoothness of trend filter |
| **MA Timeframe** | 1H/D | Align with trading style |
---
## **4. Trading Strategies**
### **A. Trend-Following Strategy**
- **Enter:** When all 3 conditions align (Supertrend + ADX + MA)
- **Exit:** When Supertrend flips or ADX drops below threshold
### **B. Pullback Strategy**
- **Wait for:**
- Supertrend in trend direction
- ADX remains strong
- MA still aligned
- **Enter:** On pullback to Supertrend line
### **C. Multi-Timeframe Confirmation**
- **Intraday traders:** Use 4H/D MA for trend bias
- **Swing traders:** Use D/W MA for trend bias
---
## **5. Advantages Over Standard Supertrend**
✔ **Fewer false signals** (ADX filters weak trends)
✔ **Higher timeframe alignment** (avoids trading against larger trends)
✔ **Customizable MA types** (SMA, EMA, WMA, DEMA)
✔ **Works on all markets** (stocks, forex, crypto)
---
### **Final Thoughts**
This indicator is designed for traders who want **high-confidence trend signals** by combining:
🔹 **Supertrend** (entry trigger)
🔹 **ADX** (trend strength filter)
🔹 **MTF MA** (higher timeframe trend alignment)
By requiring all three components to align, it significantly improves signal quality compared to standalone Supertrend systems.
**→ Best for:** Swing trading, trend-following, and avoiding choppy markets.
移動平均線
No Nonsense Forex Moving Averages ATR Bands[T1][T69]🔍 Overview
This indicator implements a No Nonsense Forex-style Baseline combined with ATR Bands, built using the moving_averages_library by Teyo69. It plots a configurable moving average and dynamically adjusts upper/lower ATR bands for trade zone detection and baseline confirmation.
✨ Features
30+ Moving Average types
ATR bands to define dynamic trade zones
Visual background highlighting for trade signals
Supports both "Within Range" and "Baseline Bias" display modes
Clean, minimal overlay with effective zone coloring
⚙️ How to Use
Choose MA Type: Select the baseline logic (SMA, EMA, HMA, etc.)
Configure ATR Bands: Adjust the ATR length and multiplier
Select Background Mode:
Within Range: Yellow = price inside band, Gray = outside
Long/Short Baseline Signal: Green = price above baseline, Red = below
Trade Setup:
Use the baseline for trend direction
Wait for confirmation or avoidance when price is outside the band
🛠 Configuration
Source: Price source for MA
MA Type: Any supported MA from the library
MA Length: Number of bars for smoothing
ATR Length: Period for Average True Range
ATR Multiplier: Width of the bands
Background Signal Mode: Choose visual signal type
⚠️ Limitations
Works with one MA at a time
Requires the moving_averages_library imported
Does not include confirmation or exit logic — use with full NNFX stack
💡 Tips
Combine with Volume or Confirmation indicators for NNFX strategy
Use adaptive MAs like KAMA, JMA, or VIDYA for dynamic baselines
Adjust ATR settings based on asset volatility
📘 Credits
Library: Teyo69/moving_averages_library/1
Inspired by: No Nonsense Forex (VP) Baseline + ATR Band methodology & MigthyZinger
Advanced DMA Pattern Detection SystemAdvanced DMA Pattern Detection System with Smart Intelligence
Professional-grade moving average indicator that combines traditional DMA analysis with advanced pattern recognition and probabilistic forecasting.
Core Features:
6 Key DMAs (5, 10, 20, 50, 100, 200) with descriptive labels showing trading purpose
Advanced Pattern Recognition - Detects Institutional Accumulation, Distribution Phases, Bull/Bear Transitions, and Choppy Markets
Probability Engine - Assigns confidence scores (0-100%) with Low/Medium/High classifications
Historical Validation - Tracks success rate of last 20 pattern signals for real performance data
Smart Alert System - Only triggers on significant pattern changes (20%+ probability shifts)
Dual Display System:
Movable Information Table - Shows current pattern, probability, confidence level, success rate, and recommended action
Chart Alerts & Background Colors - Visual confirmation of high-confidence setups (80%+ patterns)
Traditional DMA Labels - Clear identification of each average's trading significance
Complete Customization:
Master on/off controls for entire system
Individual toggles for all components (DMAs, table, alerts, colors)
Adjustable alert sensitivity (Conservative/Medium/Aggressive)
6 table positions to fit any chart layout
Perfect For: Swing traders, position traders, and anyone wanting systematic trend analysis with quantified probability scores rather than subjective interpretation.
Bottom Line: Transforms basic moving averages into an intelligent trading system that tells you exactly what the market structure means and what to do about it.
[Pandora] Laguerre Ultimate Explorations MulticatorIt's time to begin demonstrations differentiating the difference between known and actual feasibility beyond imagination... Welcome to my algorithmic twilight zone .
INTRODUCTION:
Hot off my press, I present this Laguerre multicator employing PSv6.0, originally formulated by John Ehlers for TASC - July 2025 Traders Tips. Basically I transcended Ehlers' notions of transversal filtration with an overhaul of his Laguerre design with my "what if" Pandora notions included. Striving beyond John Ehlers' original intended design. This action packed indicator is a radically revamped version of his original filter using novel techniques. My aim was to explore whether providing even more enhanced responsiveness and lesser lag is possible and how. Presented here is my mind warping results to witness.
EHLERS' LAGUERRE EXPLAINED:
First and foremost, the concept of Ehlers' Laguerre-izing method deserves a comprehensive deep dive. Ehlers' Laguerre filter design, as it functions originally, begins with his Ultimate Smoother (US) followed by a gang of four LERP (jargon for Linear intERPolation) filters. Following a myriad of cascading LERPs is a window-like FIR filter tapped into the LERP delay values to provide extra smoothness via the output.
On a side note, damping factor controlled LERP filters resemble EMAs indeed, but aren't exactly "periodic" filters that would have a period/length parameter and their subsequent calculations. I won't go into fine-grained relationship details, but EMA and LERP are indeed related in approach, being cousins of similar pedigree.
EXAMINING LAGUERRE:
I focused firstly on US initialization obstacles at Pine's bar_index==0 with nz() in abundance. The next primary notion of intrigue I mostly wondered about was, why are there four LERP elements instead of fewer or more. Why not three or why not two LERPs, etc... 1-4-6-4-1, I remember seeing those coefficients before in high pass filters.
Gathering my thoughts from that highpass knowledge base, I devised other tapped configuration modes to inspect their behavior out of curiosity. Eureka! There is actually more to Laguerre than Ehlers' mind provided, now that I had formulated additional modes. Each mode exhibits it's own lag/smoothness characteristics better than the quad LERPed version. I narrowed it down to a total of 5 modes for exploration. Mode 0 is just the raw US by itself.
ANALYZING FILTER BEHAVIORS:
Which option might be possibly superior, and how may I determine that? Fortunately, I have a custom-built analyzer allowing me to thoroughly examine transient responses across multiple periodicities simultaneously, providing remarkable visual insights.
While Ehlers has meagerly touched upon presenting general frequency responses in his books, I have excelled far beyond that. This robust filter analysis capability enables me to observe finer aspects hidden to others, ultimately leading to the deprecation of numerous existing filters. Not only this, but inventing entirely new species of filtration whether lowpass, highpass, or bandpass is already possible with a thorough comprehensive evaluation.
Revealing what's quirky with each filter and having the ability to discover what filters may be lacking in performance, is one of it's implications. I'm just going to explain this: For example US has a little too much overshoot to my liking, along with nonconformant cutoff frequency compliance with the period parameter. Perhaps Ehlers should inspect US coefficients a bit closer... I hope stating this is not received in an ill manner, as it's not my intention here.
What this technically eludes to is that UltimateSmoother can be further improved, analogous to my Laguerre alterations described above. I will also state Laguerre can indeed be reformulated to an even greater extent concerning group delay, from what I have already discussed. Another exciting time though... More investigative research is warranted.
LAGUERRE CONCLUSIONS:
After analyzing Laguerre's frequency compliance, transient responses, amplitudes, lag, symmetry across periodicities, noise rejection, and smoothness... I favor mode 3 for a multitude of reasons over the mode 4 configuration, but mostly superb smoothing with less lag, AND I also appreciated mode 1 & 2 for it's lower lag performance options.
Each mode and lag (phase shift) damping value has it's own unique characteristics at extremes, yet they demonstrate additional finesse in it's new hybrid form without adding too much more complexity. This multicator has a bunch of Laguerre filters in the overlay chart over many periodicities so you can easily witness it's differing periodic symmetries on an input signal while adjusting lag and mode.
LAGUERRE OSCILLATOR:
The oscillator is integrated into the laguerreMulti() function for the intention of posterity only. I performed no evaluation on it, only providing the code in Pine. That wasn't part of my intended exploration adventure, as I'm more TREND oriented for the time being, focusing my efforts there.
Market analysis has two primary aspects in my observations, one cyclic while the other is trending dynamics... There's endless oscillators, but my expectations for trend analysis seems a little lesser explored in my opinion, hence my laborious trend endeavors. Ehlers provided both indicator facets this time around, and I hope you find the filtration aspect more intriguing after absorption of this reading.
FUNCTION MODULES EXPLAINED:
The Ultimate Smoother is an advanced IIR lowpass smoothing filter intended to minimize noise in time series data with minimal group delay, similar to a traditional biquad filter. This calculation helps to create a smoother version of the original signal without the distortions of short-term fluctuations and with minimal lag, adjustable by period.
The Modified Laguerre Lowpass Filter (MLLF) enhances the functionality of US by introducing a Laguerre mode parameter along side the lag parameter to refine control over the amount of additional smoothing/lag applied to the signal. By tethering US with this LERPed lag mechanism, MLLF achieves an effective balance between responsiveness and smoothness, allowing for customizable lag adjustments via multiple inputs. This filter ends with selecting from a choice of weighted averages derived from a gang of up to four cascading LERP calculations, resulting with smoother representations of the data.
The Laguerre Oscillator is a momentum-like indicator derived from the output of US and a singular LERPed lowpass filter. It calculates the difference between the US data and Laguerre filter data, normalizing it by the root mean square (RMS). This quasi-normalization technique helps to assess the intensity of the momentum on any timeframe within an expected bound range centered around 0.0. When the Laguerre Oscillator is positive, it suggests that the smoothed data is trending upward, while a negative value indicates a downward trend. Adjustability is controlled with period, lag, Laguerre mode, and RMS period.
PRO Investing - Apex EnginePRO Investing - Apex Engine
1. Core Concept: Why Does This Indicator Exist?
Traditional momentum oscillators like RSI or Stochastic use a fixed "lookback period" (e.g., 14). This creates a fundamental problem: a 14-period setting that works well in a fast, trending market will generate constant false signals in a slow, choppy market, and vice-versa. The market's character is dynamic, but most tools are static.
The Apex Engine was built to solve this problem. Its primary innovation is a self-optimizing core that continuously adapts to changing market conditions. Instead of relying on one fixed setting, it actively tests three different momentum profiles (Fast, Mid, and Slow) in real-time and selects the one that is most synchronized with the current price action.
This is not just a random combination of indicators; it's a deliberate synthesis designed to create a more robust momentum tool. It combines:
Volatility analysis (ATR) to generate adaptive lookback periods.
Momentum measurement (ROC) to gauge the speed of price changes.
Statistical analysis (Correlation) to validate which momentum measurement is most effective right now.
Classic trend filters (Moving Average, ADX) to ensure signals are only taken in favorable market conditions.
The result is an oscillator that aims to be more responsive in volatile trends and more stable in quiet periods, providing a more intelligent and adaptive signal.
2. How It Works: The Engine's Three-Stage Process
To be transparent, it's important to understand the step-by-step logic the indicator follows on every bar. It's a process of Adapt -> Validate -> Signal.
Stage 1: Adapt (Dynamic Length Calculation)
The engine first measures market volatility using the Average True Range (ATR) relative to its own long-term average. This creates a volatility_factor. In high-volatility environments, this factor causes the base calculation lengths to shorten. In low-volatility, they lengthen. This produces three potential Rate of Change (ROC) lengths: dynamic_fast_len, dynamic_mid_len, and dynamic_slow_len.
Stage 2: Validate (Self-Optimizing Mode Selection)
This is the core of the engine. It calculates the ROC for all three dynamic lengths. To determine which is best, it uses the ta.correlation() function to measure how well each ROC's movement has correlated with the actual bar-to-bar price changes over the "Optimization Lookback" period. The ROC length with the highest correlation score is chosen as the most effective profile for the current moment. This "active" mode is reflected in the oscillator's color and the dashboard.
Stage 3: Signal (Normalized Velocity Oscillator)
The winning ROC series is then normalized into a consistent oscillator (the Velocity line) that ranges from -100 (extreme oversold) to +100 (extreme overbought). This ensures signals are comparable across any asset or timeframe. Signals are only generated when this Velocity line crosses its signal line and the trend filters (explained below) give a green light.
3. How to Use the Indicator: A Practical Guide
Reading the Visuals:
Velocity Line (Blue/Yellow/Pink): The main oscillator line. Its color indicates which mode is active (Fast, Mid, or Slow).
Signal Line (White): A moving average of the Velocity line. Crossovers generate potential signals.
Buy/Sell Triangles (▲ / ▼): These are your primary entry signals. They are intentionally strict and only appear when momentum, trend, and price action align.
Background Color (Green/Red/Gray): This is your trend context.
Green: Bullish trend confirmed (e.g., price above a rising 200 EMA and ADX > 20). Only Buy signals (▲) can appear.
Red: Bearish trend confirmed. Only Sell signals (▼) can appear.
Gray: No clear trend. The market is likely choppy or consolidating. No signals will appear; it is best to stay out.
Trading Strategy Example:
Wait for a colored background. A green or red background indicates the market is in a tradable trend.
Look for a signal. For a green background, wait for a lime Buy triangle (▲) to appear.
Confirm the trade. Before entering, confirm the signal aligns with your own analysis (e.g., support/resistance levels, chart patterns).
Manage the trade. Set a stop-loss according to your risk management rules. An exit can be considered on a fixed target, a trailing stop, or when an opposing signal appears.
4. Settings and Customization
This script is open-source, and its settings are transparent. You are encouraged to understand them.
Synaptic Engine Group:
Volatility Period: The master control for the adaptive engine. Higher values are slower and more stable.
Optimization Lookback: How many bars to use for the correlation check.
Switch Sensitivity: A buffer to prevent frantic switching between modes.
Advanced Configuration & Filters Group:
Price Source: The data source for momentum calculation (default close).
Trend Filter MA Type & Length: Define your long-term trend.
Filter by MA Slope: A key feature. If ON, allows for "buy the dip" entries below a rising MA. If OFF, it's stricter, requiring price to be above the MA.
ADX Length & Threshold: Filters out non-trending, choppy markets. Signals will not fire if the ADX is below this threshold.
5. Important Disclaimer
This indicator is a decision-support tool for discretionary traders, not an automated trading system or financial advice. Past performance is not indicative of future results. All trading involves substantial risk. You should always use proper risk management, including setting stop-losses, and never risk more than you are prepared to lose. The signals generated by this script should be used as one component of a broader trading plan.
Minimalist Trend & Risk For 5-Min Timeframe
Of course. Here is a professionally written TradingView description for your indicator, following the specified formatting and incorporating the strategy you outlined.
Minimalist Trend & Risk For 5-Min Timeframe
Overview
This is a clean, on-chart visual tool designed to identify high-probability entries and manage risk, specifically tailored for a 5-minute scalping or day trading strategy. It combines a higher-timeframe trend anchor with a current-timeframe trigger line and a volatility-based stop loss level, keeping your chart uncluttered and your decisions clear.
Visual Components
Trend EMA (50-period, 15-min): This is your main trend guide. The thick, colored line represents the 50 EMA from the 15-minute chart.
Green: Confirmed uptrend.
Red: Confirmed downtrend.
Gray: Neutral or consolidating market.
Price EMA (21-period, 5-min): The thin white line is the 21 EMA based on your current chart (5-minute). This acts as a dynamic trigger line that price must reclaim after a pullback.
Stop Loss Zone (ATR-based): The thin red line provides a suggested stop loss level based on current market volatility (ATR). It automatically appears below price in an uptrend and above price in a downtrend, helping you define your risk on every trade.
How To Use for a Long Entry Strategy
The strategy is to trade pullbacks in the direction of the higher-timeframe trend. This indicator helps you visualize each step of the setup.
1. Identify the Trend: Wait for the main Trend EMA (the thick line) to be green. This confirms you are in an established uptrend on the 15-minute timeframe and should only be looking for long entries.
2. Wait for a Pullback: The core of the strategy is patience. Wait for a 5-minute candlestick to pull back and close below the 15-minute Trend EMA. This confirms a temporary dip within the larger uptrend, offering a better entry price.
3. Spot the Entry Trigger: After the pullback, the entry signal occurs when a 5-minute candlestick closes back above the faster, white Price EMA (21-period). This signals that momentum is returning in the direction of the main trend.
4. Manage Your Risk: Use the red Stop Loss Zone line that appears below your entry as a guide to set your initial stop loss. This helps ensure your risk is managed dynamically based on current volatility.
This indicator simplifies a powerful pullback strategy by plotting all the necessary components directly on your chart, allowing for quick and disciplined trade execution.
SPY, QQQ, VIX - Multi TF Trend Table***CURRENTLY IN BACKTESTING PHASE***
This TradingView script creates a real-time multi-timeframe trend status table for SPY, QQQ, and VIX using the Ripster-style EMA cloud logic.
🔍 What It Shows:
Current Price (1 Min): Live snapshot of each symbol.
10min Trend (5/12 EMA): Short-term momentum.
10min Trend (34/50 EMA): Intermediate-term direction.
1 Hour Trend: Higher timeframe trend.
Daily Trend: Long-term trend using 5/12 and 34/55 EMA alignment.
Each cell is color-coded:
✅ Green = Bullish
❌ Red = Bearish
Yellow can be used for neutral if customized.
⚙️ How It Works:
Uses request.security() to pull multi-timeframe EMA values for each symbol.
Compares fast/slow EMAs to determine bullish or bearish alignment.
The table is refreshed live and placed in a corner of your choice.
✅ Ideal For:
Trend traders using Ripster EMA clouds
SPY/QQQ/VIX correlation watchers
Traders seeking real-time trend clarity across multiple timeframes
SPY, QQQ, VIX Status TableBased on Ripster EMA and 1 hour MTF Clouds, this custom TradingView indicator displays a visual trend status table for SPY, QQQ, and VIX using multiple timeframes and EMA-based logic to be used on any stock ticker.
🔍 Key Features:
✅ Tracks 3 symbols: SPY, QQQ, and VIX
✅ Multiple trend conditions:
10-min (5/12 EMA) Ripster cloud trend
10-min (34/50 EMA) Ripster cloud trend
1-Hour Multi-Timeframe Ripster EMA trend
Daily open/close trend
✅ Color-coded trend strength:
🟩 Green = Bullish
🟥 Red = Bearish
🟨 Yellow = Sideways
✅ TO save screen space, customizations available:
Show/hide individual rows (SPY, QQQ, VIX)
Show/hide any trend column (10m, 1H MTF, Daily)
Change header/background colors and font color
Bold white top row for readability
✅ Auto-updating table appears on your chart, top-right
This tool is great for active traders looking to quickly scan short-term and longer-term momentum in key market instruments without having to go back and forth market charts.
MA Table [RanaAlgo]The "MA Table " indicator is a comprehensive and visually appealing tool for tracking moving average signals in TradingView. Here's a short summary of its usefulness:
Key Features:
Dual MA Support:
Tracks both EMA (Exponential Moving Average) and SMA (Simple Moving Average) signals (10, 20, 30, 50, 100 periods).
Users can toggle visibility for EMA/SMA separately.
Clear Signal Visualization:
Displays Buy (▲) or Sell (▼) signals based on price position relative to each MA.
Color-coded (green for buy, red for sell) for quick interpretation.
Customizable Table Design:
Adjustable position (9 placement options), colors, text size, and border styling.
Alternating row colors improve readability.
Optional MA Plots:
Can display the actual MA lines on the chart for visual confirmation (with distinct colors/styles).
Usefulness:
Quick Overview: The table consolidates multiple MA signals in one place, saving time compared to checking each MA individually.
Trend Confirmation: Helps confirm trend strength when multiple MAs align (e.g., price above all MAs → strong uptrend).
Flexible: Suitable for both short-term (10-20 period) and long-term (50-100 period) traders.
Aesthetic: Professional design enhances chart clarity without clutter.
Ideal For:
Traders who rely on moving average crossovers or price-MA relationships.
Multi-timeframe analysis when combined with other tools.
Beginners learning MA strategies (clear visual feedback).
Daily Moving Average to Intraday ChartPlaces 200D, 100D, 50D SMAs as well as the 20D EMA onto intraday charts. (Script v6)
Multi-Timeframe EMA Table (Woche, Tag, 4h, 1h)Title: Multi-Timeframe EMA Table (Weekly, Daily, 4h, 1h)
Description:
This Pine Script indicator provides a concise and clear Multi-Timeframe (MTF) Exponential Moving Average (EMA) analysis directly on your TradingView chart. It displays the EMA values for the 1-hour, 4-hour, 1-day, and 1-week timeframes in a customizable table.
Features:
Clear Table Display: Shows the current EMA values for predefined higher timeframes (1h, 4h, Day, Week).
Dynamic Status: The status column immediately visualizes whether the current price of your chart is above (Green) or below (Red) its respective Multi-Timeframe EMA.
Customizable EMA Length: The length of the EMA can be easily adjusted via the indicator settings, allowing you to tailor it to your preferred analysis.
Visual Confirmation: The corresponding Multi-Timeframe EMA lines are optionally plotted directly on the chart to visually confirm the table values.
Non-Repainting: The displayed EMA values and lines are programmed to be non-repainting, meaning their values do not change on already closed candles.
This indicator is a useful tool for traders who want to quickly get an overview of the EMA's position across different timeframes without constantly switching their chart timeframe. It's ideal for confirming trends and identifying support and resistance levels from a higher perspective.
EMA Ribbon with TableThis indicator plots multiple EMAs (5, 8, 13, 21, 34, 55, 89, 144, 233, 377) based on Fibonacci levels. Each line has a distinct color, and a clean table displays their real-time values. Great for spotting trend direction, crossovers, and momentum at a glance.
WaveTrend with CrossesWaveTrend with Crosses — Spot Golden & Dead Crosses with Precision!
WaveTrend with Crosses is a customized version of the classic WaveTrend oscillator, enhanced with clean visual signals to help you pinpoint momentum shifts through golden and dead crosses.
✅ Key Features
Momentum analysis based on WaveTrend (WT1 & WT2)
Detects Golden Cross (WT1 crosses above WT2) and
Dead Cross (WT1 crosses below WT2)
Customizable Overbought/Oversold zones (defaults: ±60, ±53)
Visual circle markers on valid crossovers for easy recognition
Built-in alert system to notify you of real-time cross signals
📊 How to Use
Add the indicator to your chart and choose your desired symbol & timeframe.
The blue shaded area shows the divergence between WT1 and WT2 — a visual cue for momentum buildup.
Circle markers:
Red circle: Dead cross — potential bearish momentum
Green circle: Golden cross — potential bullish reversal
Customize the settings to fit your personal trading strategy if needed.
🛠 User Inputs
n1, n2: Channel lengths (default: 10 and 21)
obLevel, osLevel: Overbought/Oversold thresholds (default: ±60 / ±53)
standardValue: Threshold used to validate significant crossovers (default: 60)
🔔 Alert System
Get notified with alerts like "Golden Cross" or "Dead Cross" when key crossovers occur,
helping you react quickly and confidently.
⚠️ Notes
Past performance is not indicative of future results — always backtest and use in conjunction with other tools.
Low timeframes may generate frequent signals; filtering or confirmation is recommended.
💡 Author's Note
Simple and effective — this tool is designed to focus solely on cross-based entries.
Ideal for momentum-based scalping or swing trading strategies.
Feel free to customize and tweak as needed! 😄
🟡🔵🟢🔴Beginner's Assistant by carljchapman🟡🔵🟢🔴
Overview
This indicator dynamically marks highs and lows of the premarket (4:00am-9:30amEST) and opening range. It displays Fair Value Gaps, 9 and 21 period Exponential Moving Averages (EMA) and the Volume Weighted Average Price (VWAP). To really help beginners, it marks suggested entry points on the chart with green or red triangles, when a reasonable trend appears.
Features
Automatically draws blue lines for Premarket High and Low values
Dynamically marks the opening Range region
Visual entry signals for long and short opportunities
Primarily used for stocks/funds , but works with forex and crypto
Quick configuration settings to tailor details for your experience level
Mobile friendly mode
Supports alerts
How To Use
Open your chart, and select a 1 or 2 minute timeframe.
Watch for green triangles and red triangles, hinting at entries for long or short positions. Pay particular attention to the price action as it approaches the bounds of the opening range and the premarket levels. I suggest also using a MACD indicator for confirmation of the trend.
For scalping 0dte Options, switch frequently between the 1 ,2 and 5 minute or higher timeframes. Do this so you will not miss an entry opportunity or be unaware of the overall trend.
As a beginner, until you have refined your strategy and develop risk management, take profits as low as 10%. A small profit can quickly become a much larger loss. With 0dte options, time will devour your profits even when the price doesn’t budge.
What makes this indicator so beginner friendly?
Charts with too many lines and colors are are a nightmare for beginners! And empty charts do not tell the whole story. Simple checkboxes in the configuration settings let you turn on and off features to match your comfort level. As you become more familiar you might try turning off the suggested entries to see if you would have selected the same or better ones yourself. Just one example of how you will learn and verify your knowledge. You will quickly spot Opening Range Breakouts and more.
Why are the triangle pointers not simply above or below the bars?
As a beginner, I like to review charts to see how much the price changed, then estimate how much a contract would move based on its delta. A mouthful, I know. But what price does an arrow pointing up below a bar reflect? Would I have entered at the open or close, low or high? This indicator helps by putting the marker close to the price when indicated. It can even display the actual price on the bar. This is helpful for you to make fast calculations without a measuring tool.
I am an experienced trader. Can this help me make winning trades?
Sure. It can also help you make losing ones! Profit is not guaranteed with any indicator or strategy. This indicator is designed to assist you as you learn and while you trade. You won't see the words BUY or SELL. This is not a signal bot! It is merely a tool to assist you. You can learn a lot by spending time observing price movement using this indicator without ever making a single trade.
🟡🔵🟢🔴
Adaptive Trend Cloud + Smart Reversal Zones [@darshakssc]This indicator combines a volatility-adjusted trend cloud with RSI- and volume-based reversal signals to help traders visually spot potential trend continuation or reversal zones.
It’s designed to look clean, colorful, and informative — great for both beginners and experienced traders looking for chart clarity and actionable insights.
🔍 How It Works
🔵 1. Trend Cloud
1. The cloud is created using a 34-period EMA as the base and adjusted with a 14-period ATR multiplier.
2. When price is above the EMA, the cloud turns green (bullish).
3. When price is below the EMA, it turns red (bearish).
4. A neutral gray tone shows when price is inside the cloud, signaling potential indecision.
🔁 2. Smart Reversal Signal Logic
1. Signals appear only when price enters the cloud zone, indicating a potential change in direction.
2. To confirm the reversal, the following conditions must also be met:
3. RSI is below 40 (for bullish reversals) or above 60 (for bearish reversals)
4. A volume spike occurs (1.8× the 20-bar volume average)
5. A cooldown of 10 bars between signals prevents overplotting
🎯 3. TP & SL Labels
1. When a valid buy or sell signal appears:
🎯 TP (Take Profit) is placed at 2× ATR distance
🛑 SL (Stop Loss) is placed at 1× ATR distance
These levels are shown via chart labels for visual reference
🛎️ 4. Alerts
1. Built-in alerts trigger on:
🟢 Buy reversal signals
🔴 Sell reversal signals
✅ How to Use
1. Apply the indicator to any chart (works best on 5min–4h timeframes)
2. Look for the 🟢 Buy / 🔴 Sell labels when price touches the cloud
3. Use the visual TP/SL markers as reference zones — not financial advice
4. Combine with your own risk management, price action or confluence tools
⚙️ Customization Options
1. EMA & ATR lengths and multipliers
2. RSI and volume thresholds
3. Signal cooldown to reduce noise
4. Toggle TP/SL zones on or off
⚠️ Disclaimer
This script is for educational purposes only and does not constitute financial advice. Always test on demo accounts and combine with your own trading system.
Daily EMAs (8, 21 & 50) with BandDescription:
This script plots the Daily EMAs (8, 21, and 50) on any intraday or higher timeframe chart. It provides a clear, multi-timeframe view of market trends by using daily exponential moving averages (EMAs) and a dynamic visual band. I use this on the major indexes to decide if I should be mostly longing or shorting assets.
-In addition to identifying the trend structure, the 8-Day EMA often serves as a key area where buyers or sellers may become active, depending on the market direction:
-In an uptrend, the 8 EMA can act as a dynamic support zone, where buyers tend to re-enter on pullbacks.
-In a downtrend, the same EMA may act as resistance, where sellers become more aggressive.
-The script also includes a colored band between the 8 and 21 EMAs to highlight the short-term trend bias:
-Green fill = 8 EMA is above the 21 EMA (bullish structure).
Blue fill = 8 EMA is below the 21 EMA (bearish structure).
The 50-Day EMA is included to give additional context for intermediate-term trend direction.
Features:
- Daily EMA levels (8, 21, and 50) calculated regardless of current chart timeframe.
- 8 EMA acts as a potential buyer/seller zone based on trend direction.
- Color-coded band between 8 and 21 EMAs:
- Green = Bullish short-term bias
- Blue = Bearish short-term bias
- Customizable price source and EMA offset.
- Suitable for trend trading, pullback entries, and higher-timeframe confirmation.
Use Cases:
Identify key dynamic support/resistance areas using the 8 EMA.
Assess short-, medium-, and intermediate-term trend structure at a glance.
Enhance confluence for entry/exit signals on lower timeframes.
HMA Trend Line (Croc Signal Line)HMA Trend Line (Croc Signal Line) — The Ultimate Hull Moving Average Trend Indicator
Full English description here:
What is the HMA Trend Line (Croc Signal Line)?
The HMA Trend Line (Croc Signal Line) is a powerful, adaptive trend indicator for TradingView, based on the Hull Moving Average (HMA). This indicator is designed to help traders identify real market trends with less lag and reduced noise compared to traditional moving averages like SMA (Simple Moving Average) and EMA (Exponential Moving Average).
Why use the HMA Trend Line?
+ Faster Trend Detection: The Hull Moving Average (HMA) responds more quickly to price action, giving you earlier buy and sell signals.
+ Smoother and Cleaner: It provides a visually clean trend line that avoids the choppiness of classic EMAs and SMAs.
+ Reduced Lag: The HMA Trend Line follows the market closer, helping you avoid late entries or exits and spot trend reversals sooner.
+ Dynamic Support and Resistance: Use the line as a dynamic support or resistance to manage trades and identify pullbacks or breakouts.
What does “Croc Signal Line” mean?
The “Croc” in Croc Signal Line stands for:
+ Clean
+ Responsive
+ Optimized
+ Curve
This highlights the unique advantage of this indicator: a curve that is both fast-reacting and smooth, helping traders focus on real trends and filter out market noise.
How does the Hull Moving Average (HMA) work?
The HMA was developed by Alan Hull and uses weighted moving averages and a unique calculation to deliver both responsiveness and smoothness. Unlike standard moving averages, the HMA reacts faster to new price moves and avoids false signals in ranging or volatile markets.
How to use the HMA Trend Line (Croc Signal Line) on TradingView?
+ Watch for price crossing above the trend line for potential bullish signals, and below for bearish signals.
+ Use on any timeframe: from 1-minute scalping to daily, weekly, or even monthly charts.
+ Works with all asset classes: Forex, stocks, indices, cryptocurrencies, commodities, and futures.
+ Combine with other indicators (like Stochastics, RSI, or volume) for confirmation and to build your unique trading strategy.
+ Adjust the Signal Line Period for your market and style: shorter periods for faster markets, longer for smoother trends.
Who should use this indicator?
+ Day traders, swing traders, and long-term investors looking for reliable, actionable trend signals.
+ Anyone seeking a cleaner, more responsive alternative to the classic moving averages.
+ Traders who want a simple, visually clear way to filter out market noise and see real price direction.
Disclaimer:
This indicator is for educational and study purposes only. Please perform your own backtesting and analysis before using it in live trading. This script does not constitute financial advice. Use at your own risk.
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Mickey's EMAMickey’s EMA is a lightweight, overlay indicator that combines two Exponential Moving Averages (EMAs) with automatic entry, stop-loss and target visual signals—plus dynamic JSON alerts for seamless webhook integration. It’s designed for both day-traders and swing-traders who want clear, on-chart cues and fully-customizable risk parameters.
🔍 Overview
Dual EMAs (fast & slow) to capture trend changes.
Automated “BUY” / “SELL” markers at every EMA crossover.
Customizable Stop-Loss % and Target % levels, plotted as ❌ and 🎯 bubbles.
“SL Hit (Custom)” if the opposite EMA crossover occurs before price touches your stop level.
JSON-formatted alerts containing ticker, instrument type, timeframe, trend (“CE” for bullish, “PE” for bearish), and price—ready for webhooks.
⚙️ Inputs
| Setting | Default | Description |
| ------------------------ | ------- | ----------------------------------------------- |
| **Fast EMA Length** | 20 | Period for the faster EMA. |
| **Slow EMA Length** | 200 | Period for the slower EMA. |
| **Price Source** | Close | Data series to calculate EMAs on. |
| **Custom Stop Loss %** | 0.1% | Stop-loss level as a percentage of entry price. |
| **Target %** | 0.5% | Profit-target level as a percentage of entry. |
| **Show Entry/SL/Target** | ON | Toggle all entry, SL and target visuals. |
📊 What It Plots
Fast EMA (blue) & Slow EMA (white) overlayed on price.
BUY 🟢 label below bar when Fast EMA crosses above Slow EMA.
SELL 🔴 label above bar when Fast EMA crosses below Slow EMA.
❌ (Custom) bubble at entry price if an opposite EMA crossover occurs before price hits your custom stop-loss.
❌ bubble at the stop-loss price when price actually breaches the stop level.
🎯 bubble at target price when price first reaches your profit-target level.
🔔 Alerts & Webhooks
On-screen alert conditions “Mickey’s EMA → BUY” and “Mickey’s EMA → SELL” appear in the Create-Alert dialog.
Dynamic JSON payload sent via alert() when a crossover fires, e.g.:
{
"script": "AAPL",
"scriptType": "equity",
"instrumentType": "NASDAQ",
"timeframe": "5",
"trend": "CE",
"price": 174.25
}
Use these alerts to integrate with bots, chat systems, manual, or any webhook-driven workflow.
🚀 Why Use Mickey’s EMA?
Clarity & Precision: All signals appear exactly at the EMA or price-level of interest.
Custom Risk Management: Define your own stop-loss and target percentages.
Seamless Automation: Dynamic JSON alerts mean zero manual setup for webhooks.
Versatile: Equally effective on intraday charts or daily/weekly timeframes.
Add Mickey’s EMA to your TradingView chart today and get instant, aesthetically-pleasing guidance on trend entries, risk exits, and profit targets—all in one elegant overlay.
[Top] LHAMA Consolidation DetectorIntroducing the Low-High Adaptive Moving Average (LHAMA 🦙), a powerful tool designed to help traders visually distinguish between trending and consolidating market phases. Unlike traditional moving averages that can produce false signals in choppy markets, the LHAMA is engineered to flatten out during periods of consolidation and become more responsive when a clear trend emerges.
This indicator's primary function is to act as a "Consolidation Detector." When the LHAMA line goes flat and adopts its "Flat Color," it serves as a clear visual cue that the market is range-bound. Conversely, when the line begins to slope and changes to its Bullish or Bearish color, it signals a potential breakout or the start of a new trend.
How It Works
The LHAMA is a type of adaptive moving average. Its adaptiveness is derived from a unique calculation that measures market "trendiness." It does this by tracking whether new highs or new lows are being made within a specified lookback period.
In a Trending Market: When the price consistently makes new highs or lows, the indicator's responsiveness increases, causing the LHAMA to track the price much more closely and responsively.
In a Consolidating Market: When the price is range-bound and fails to make new highs or lows, the responsiveness decreases significantly. This causes the LHAMA to flatten out and become less sensitive to minor price fluctuations, effectively filtering out market noise.
Key Features
Adaptive Calculation: The core engine of the indicator, which automatically adjusts its smoothing based on trend strength.
Slope-Based Coloring: The line's color dynamically changes based on its slope, providing an at-a-glance view of market conditions: bullish, bearish, or flat.
Multi-Line & Multi-Timeframe (MTF): You can enable up to six fully customizable LHAMA lines. Each line can be configured with its own length, colors, and can even be set to a different timeframe, allowing for comprehensive multi-timeframe analysis on a single chart.
Volatility Clouds: Each LHAMA can display an optional cloud around it. The cloud's width is based on your choice of either the Average True Range (ATR) or Standard Deviation (StdDev), offering a visual representation of volatility.
Volume Weighting: An option to incorporate volume into the adaptive calculation, making the LHAMA even more responsive during high-volume price movements.
How to Use
Identify Consolidation: The primary use case. A flat and consistently colored LHAMA line is a strong indication of a sideways or consolidating market. This can help traders avoid taking trend-following trades in choppy conditions.
Confirm Trends: When the LHAMA begins to slope upwards or downwards and changes to its trend color, it can be used to confirm the direction and strength of a new trend. The steeper the slope, the stronger the momentum, and more solid the directional color.
Dynamic Support & Resistance: Like other moving averages, the LHAMA can act as a dynamic level of support in an uptrend or resistance in a downtrend. The optional cloud can further define these zones.
Multi-MA Ribbon Strategy: By enabling multiple LHAMAs with different lengths (e.g., Fibonacci sequence like 14, 21, 34, 55), you can create a ribbon. The expansion of the ribbon indicates a strong trend, while its contraction signals a weakening trend or consolidation.
Settings Explained
Enable 🦙 Line: A simple checkbox to turn each of the six LHAMA lines on or off.
Length: The lookback period for the LHAMA calculation. Shorter lengths are more responsive, while longer lengths are smoother.
Timeframe: Set a specific timeframe for each LHAMA. Leave blank to use the chart's current timeframe.
Volume Weight: If checked, adds volume weighting to make the LHAMA more responsive to high-volume moves.
Colors (Bullish, Bearish, Flat): Customize the colors for each market state. To only see the line during consolidation, set the Bullish and Bearish colors to 100% transparency. To hide the line during consolidation, set the Flat color to 100% transparency.
Color Sensitivity: This is a crucial setting. Because price scales (tick sizes) vary widely between symbols, this setting allows you to adjust the sensitivity of the slope detection. A lower value requires a steeper slope to trigger a trend color, while a higher value is more sensitive.
Recommended settings are provided in the input tooltip as a starting point:
$5 Tick: 0.25 Sensitivity
$1 Tick: 0.75 Sensitivity
$0.25 Tick: 3 Sensitivity
$0.01 Tick: 50 Sensitivity
$0.005 Tick: 100 Sensitivity
Cloud Settings:
Show Cloud: Toggles the visibility of the volatility cloud around the LHAMA.
Width Based On: Choose between "ATR" or "StdDev" to calculate the cloud's width.
Cloud Length & Width: Set the lookback period and multiplier for the ATR/StdDev calculation to control the size of the cloud.
Multiple SMAsPlots multiple SMAs in a single indicator.
This script only plots the SMAs if the timeframe is set to daily.
- SMA10 in light blue
- SMA20 in yellow
- SMA50 in red
- SMA100 in green
- SMA200 in blue
It also plots the crosses between SMA20 and SMA50
Universal Valuation | Lyro RSUniversal Valuation
⚠️Disclaimer: This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
Overview
The Universal Valuation indicator helps identify whether the market is undervalued/cheap or overvalued/expensive. And another mode this indicator offers is This cutting-edge tool works flawlessly ACROSS ALL TIMEFRAMES & TICKERS/CHARTS.
By combining regular TradingView indicators & some of our valuation indicators basic/simple with advanced statistical functions, this indicator offers a powerful, universal valuation tool.
Key Features
INPUTS: The Universal Valuation indicator offers flexibility through its customizable input sections. The "Indicator Settings" let you adjust lengths for the raw indicators and statistical functions. The "Signals" section defines thresholds for background color changes, helping you visually spot key market moments. The "Colors" section allows you to pick from pre-defined schemes or personalize colors for better clarity. Lastly, the "Tables" section gives you full control over the UV table’s size and positioning, including options to overlay it on the chart or place it in the allocated space.
A DEEPER INSIGHT: This indicator is built around three distinct categories: "UVM Andromeda," "UVM Sentinel," and "UVM Nexus." Each category has three different drivers. The statistical function powering this indicator is the Z-score. The Z-score is an incredibly powerful tool that helps determine if the market is overvalued/expensive or undervalued/cheap, offering critical insights for traders."
Plotting: The plotted value represents the average of all the drivers. In other words, it is the combined average of all 9 Z-scored indicators, providing a balanced and comprehensive market valuation.
What is Z-score? & Why does this system use it?
Z-score is an advanced statistical function used to measure how far a value deviates from the average in a data set. The formula for Z-score is: (x - h) / o, where x is the observed value, h is the average (mean) of the data set, and o is the standard deviation.
This system uses the Z-score because it helps determine whether the market is overvalued or undervalued based on historical data and how we apply the calculation. By measuring how far a value deviates from the average, the Z-score provides a clearer and more objective valuation of market conditions. In our case, a Z-score of -3 indicates an undervalued market, while a Z-score of 3 signals an overvalued market.
UVM Andromeda:
UVM stands for Universal Valuation Model, which is the core of this indicator. Andromeda, one of the most stunning galaxies in the universe, inspired by its name. We chose this name because a powerful indicator should not only be effective but also visually appealing.
You might be wondering what drives UVM Andromeda. The three key drivers are Price, RSI, and ROC. These indicators are pre-defined, while the "Indicator Settings" allow you to adjust the length of the Z-score calculation, refining how the model analyzes market conditions.
UVM Sentinel:
Sentinel, refers to a guard or watchman, someone or something that keeps watch and provides protection. In our case this name refers to a model that actively observes market conditions, acting as a vigilant tool that signals important shifts in valuation.
Wondering what drives UVM Sentinel? The three key drivers are BB%, CCI, and Crosby. While these indicators are simple on their own, applying our Z-score function elevates them to a whole new level, enhancing their ability to detect market conditions with greater accuracy.
UVM Nexus:
We chose the name Nexus simply because it sounds cool—there’s no deeper meaning behind it for us. However, the word itself does have a meaning; it refers to a connection or link between multiple things.
The three key drivers for UVM Nexus are the Sharpe, Sortino, and Omega ratios. These are all asset performance metrics, but by applying the Z-score, we transform them into powerful valuation indicators/drivers, giving you a deeper insight into market conditions.
Why do we use 9 different indicators instead of 1?
That's a great question, and the answer is quite simple. Think of it like this: if you have one super soldier, and they miss a shot, it’s game over. But if you have many soldiers, even if one misses, the others can step in and take the shot. The strength of using multiple indicators lies in their collective power – if one misses, the others still provide valuable insights, making the overall system more reliable.
Final Thoughts:
In our Universal Valuation indicator, you have the flexibility to customize it however you like using our inputs. The system is divided into three distinct categories, with each category containing three indicators. The value plotted on the chart is the average of all nine indicators. We apply the Z-score, an advanced statistical function, to each of these nine indicators. The final plotted average is the average of all the Z-scores, giving you a comprehensive and refined market valuation. This indicator can work on any timeframe & chart ticker.
50/100 EMA Crossover with Candle Confirmation📘 **50/100 EMA Crossover with Candle Confirmation – Strategy Description**
The **50/100 EMA Crossover with Candle Confirmation** is a trend-following strategy designed to filter high-probability entries by combining exponential moving average (EMA) crossovers with strong price action confirmation. This strategy aims to reduce false signals commonly associated with EMA-only systems by requiring a **candle close confirmation in the direction of the trend**, making it more reliable for intraday or swing trading across Forex, crypto, and stock markets.
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### 🔍 **Core Logic**
* The strategy is based on the interaction of the **50 EMA** (fast-moving average) and the **100 EMA** (slow-moving average).
* **Trend direction** is determined by the crossover:
* **Bullish Trend**: When the 50 EMA crosses **above** the 100 EMA.
* **Bearish Trend**: When the 50 EMA crosses **below** the 100 EMA.
* To **filter out false breakouts**, a **candle confirmation** is used:
* For a **Buy signal**: After a bullish crossover, wait for a strong bullish candle (e.g., full-body green candle) to **close above both EMAs**.
* For a **Sell signal**: After a bearish crossover, wait for a strong bearish candle to **close below both EMAs**.
---
### ✅ **Entry Conditions**
**Buy Entry:**
* 50 EMA crosses above 100 EMA.
* Latest candle closes **above both EMAs**.
* Candle must be bullish (green/full body preferred).
**Sell Entry:**
* 50 EMA crosses below 100 EMA.
* Latest candle closes **below both EMAs**.
* Candle must be bearish (red/full body preferred).
---
### 🛑 **Exit or Take-Profit Options**
* **Fixed TP/SL**: 1:2 or 1:3 risk-reward.
* **Trailing Stop**: Based on recent swing highs/lows or ATR.
* **EMA Exit**: Exit trade when the candle closes on the opposite side of 50 EMA.
---
### ⚙️ **Best Settings**
* **Timeframes**: 5M, 15M, 1H, 4H (works well on most).
* **Markets**: Forex, Crypto (e.g., BTC/ETH), Indices (e.g., NASDAQ, NIFTY50).
* **Recommended filters**:
* Use with RSI divergence or volume confirmation.
* Avoid using during high-impact news (especially on lower timeframes).
---
### 🧠 **Why This Works**
The 50/100 EMA crossover provides a **medium-term trend signal**, reducing noise seen in fast EMAs (like 9 or 21). The candle confirmation adds a **momentum filter**, ensuring price supports the directional bias. This makes it suitable for traders who want a balance of trend and entry precision without overcomplicating with too many indicators.
---
### 📈 **Advantages**
* Simple yet effective for identifying trends.
* Filters out fakeouts using candle confirmation.
* Easy to automate in Pine Script or other trading bots.
* Can be combined with support/resistance or SMC zones for better confluence.
---
### ⚠️ **Limitations**
* May lag slightly in ranging markets.
* Late entries possible due to confirmation candle.
* Works best with additional volume or volatility filter.
20-Day SMA BIAS%20-day Bias is a commonly used indicator in technical analysis. It is used to measure the gap between the stock price and its 20-day moving average to determine whether the stock price deviates from the normal state and whether there is an overbought or oversold phenomenon.
How to calculate the 20-day deviation value:
The calculation formula of the deviation rate is: ((closing price of the day - 20-day moving average price) / 20-day moving average price) * 100%.
Interpretation of 20-day deviation value:
Positive deviation rate:
Indicates that the stock price is higher than the 20-day moving average, which means that the stock price is high and may face correction pressure.
Negative deviation rate:
Indicates that the stock price is lower than the 20-day moving average, which means that the stock price is low and there may be a rebound opportunity.
Absolute value of the deviation rate:
The larger the absolute value, the higher the deviation of the stock price, and the higher the degree of overbought or oversold.
Apply the deviation rate to determine the buying and selling opportunities:
Positive deviation rate is too large:
When the positive deviation rate of the stock price from the 20-day moving average is too large, and the stock price is already at a high level, this may be a sell signal.
Negative deviation rate is too large:
When the negative deviation rate of the stock price from the 20-day moving average is too large, and the stock price is already at a low level, this may be a buy signal.
Stock price fluctuates around the moving average:
Stock price usually fluctuates around the moving average and adjusts after over-rising or over-falling.
Practical operation suggestions:
The standards of the market and individual stocks are different:
When the positive and negative deviation rate of the market and the quarterly line is greater than 5%, there is a greater chance of correction; large-cap stocks are between 5% and 10%; small and medium-sized stocks may be above 15% to 20%.
Combined with other indicators:
The deviation rate is only one of the technical analysis indicators. It is recommended to combine it with other indicators, such as KD indicators, RSI, etc., to make a comprehensive judgment and improve accuracy.
Reference to historical experience:
You can refer to the situation where the deviation rate of the stock was too large in the past to determine whether the current deviation rate is also too large.
Summary:
The 20-day deviation value is an indicator to determine whether the stock price is overbought or oversold, which can help investors determine the timing of buying and selling, but it needs to be combined with other indicators and historical data, and adjusted according to market conditions.
