Trend Following Bundle [ActiveQuants]The Trend Following Bundle indicator is a comprehensive toolkit designed to equip traders with a suite of essential technical analysis tools focused on identifying , confirming , and capitalizing on market trends . By bundling popular indicators like Moving Averages , MACD , Supertrend , ADX , ATR , OBV , and the Choppiness Index into a single script, it streamlines chart analysis and enhances strategy development.
This bundle operates on the principle that combining signals from multiple, complementary indicators provides a more robust view of market trends than relying on a single tool. It integrates:
Trend Direction: Moving Averages, Supertrend.
Momentum: MACD.
Trend Strength: ADX.
Volume Pressure: On Balance Volume (OBV).
Volatility: Average True Range (ATR).
Market Condition Filter: Choppiness Index (Trend vs. Range).
By allowing users to selectively enable, customize, and view these indicators (potentially across different timeframes), the bundle facilitates nuanced and layered trend analysis.
█ KEY FEATURES
All-in-One Convenience: Access multiple core trend-following indicators within a single TradingView script slot.
Modular Design: Easily toggle each individual indicator (MAs, MACD, Supertrend, etc.) On or Off via the settings menu to customize your chart view.
Extensive Customization: Fine-tune parameters (lengths, sources, MA types, colors, etc.) for every included indicator to match your trading style and the specific asset.
Multi-Timeframe (MTF) Capability: Configure each indicator component to analyze data from a different timeframe than the chart's, allowing for higher-level trend context.
Integrated Alerts: Pre-built alert conditions for key events like Moving Average crossovers , MACD signals , Supertrend flips , and Choppiness Index threshold crosses . Easily set up alerts through TradingView's alert system.
When configuring your alerts in TradingView, pay close attention to the trigger option:
- Setting it to " Only Once " will trigger the alert the first time the condition is met, which might happen during an unclosed bar (intra-bar). This alert instance will then cease.
- Setting it to " Once Per Bar Close " will trigger the alert only after a bar closes if the condition was met on that finalized bar. This ensures signals are based on confirmed data and allows the alert to potentially trigger again on subsequent closing bars if the condition persists or reoccurs. Use this option for signals based on confirmed, closed-bar data.
MA Smoothing & Bands (Optional): Apply secondary smoothing or Bollinger Bands directly to the Fast and Slow Moving Averages for advanced analysis.
█ USER INPUTS
Fast MA:
On/Off: Enables/Disables the Fast Moving Average plot and related smoothing/bands.
Type: Selects the primary calculation type (SMA, EMA, SMMA (RMA), WMA, VWMA). Default: EMA.
Source: Input data for the MA calculation (e.g., close, open, hl2). Default: close.
Length: Lookback period for the primary MA calculation. Default: 9.
Color: Sets the color of the primary Fast MA line. Default: Yellow.
Line Width: Sets the thickness of the primary Fast MA line. Default: 2.
Smoothing Type: Selects secondary smoothing type applied to the primary MA (e.g., None, SMA, EMA) or adds Bollinger Bands (SMA + Bollinger Bands). Default: None.
Smoothing Length: Lookback period for the secondary smoothing MA or the basis MA for Bollinger Bands. Relevant only if Smoothing Type is not " None ". Default: 10.
BB StdDev: Standard deviation multiplier for Bollinger Bands. Relevant only if Smoothing Type is " SMA + Bollinger Bands ". Default: 2.0.
Timeframe: Sets a specific timeframe for the MA calculation. Default: Chart.
Wait TF Close: If a timeframe is set, waits for that timeframe's bar to close before plotting, preventing repainting. Default: true.
Slow MA:
On/Off: Enables/Disables the Slow Moving Average plot and related smoothing/bands.
Type: Selects the primary calculation type (SMA, EMA, SMMA (RMA), WMA, VWMA). Default: EMA.
Source: Input data for the MA calculation (e.g., close, open, hl2). Default: close.
Length: Lookback period for the primary MA calculation. Default: 9.
Color: Sets the color of the primary Slow MA line. Default: Yellow.
Line Width: Sets the thickness of the primary Slow MA line. Default: 2.
Smoothing Type: Selects secondary smoothing type applied to the primary MA (e.g., None, SMA, EMA) or adds Bollinger Bands (SMA + Bollinger Bands). Default: None.
Smoothing Length: Lookback period for the secondary smoothing MA or the basis MA for Bollinger Bands. Relevant only if Smoothing Type is not " None ". Default: 10.
BB StdDev: Standard deviation multiplier for Bollinger Bands. Relevant only if Smoothing Type is " SMA + Bollinger Bands ". Default: 2.0.
Timeframe: Sets a specific timeframe for the MA calculation. Default: Chart.
Wait TF Close: If a timeframe is set, waits for that timeframe's bar to close before plotting, preventing repainting. Default: true.
MACD:
On/Off: Enables/Disables the MACD plots (MACD line, Signal line, Histogram).
Fast Length: Lookback period for the fast MA in MACD calculation. Default: 12.
Slow Length: Lookback period for the slow MA in MACD calculation. Default: 26.
Source: Input data for the MACD MAs. Default: close.
Signal Smoothing: Lookback period for the Signal Line MA. Default: 9.
Oscillator MA Type: Calculation type for Fast and Slow MAs (SMA, EMA). Default: EMA.
Signal Line MA Type: Calculation type for Signal Line MA (SMA, EMA). Default: EMA.
MACD Color: Color of the MACD line. Default: #2962FF.
MACD Signal Color: Color of the Signal line. Default: #FF6D00.
Timeframe: Sets a specific timeframe for the MACD calculation. Default: Chart.
Wait TF Close: If a timeframe is set, waits for that timeframe's bar to close. Default: true.
On Balance Volume (OBV):
On/Off: Enables/Disables the OBV plot and its related MAs/Bands.
Type (MA Smoothing): Selects MA type for smoothing OBV (None, SMA, EMA, etc.) or SMA + Bollinger Bands. Default: None.
Length (MA Smoothing): Lookback period for the OBV smoothing MA. Default: 14.
BB StdDev: Standard deviation multiplier for Bollinger Bands if selected. Default: 2.0.
Color: Color of the main OBV line. Default: #2962FF.
Timeframe: Sets a specific timeframe for the OBV calculation. Default: Chart.
Wait TF Close: If a timeframe is set, waits for that timeframe's bar to close. Default: true.
ADX:
On/Off: Enables/Disables the ADX plot.
ADX Smoothing: Lookback period for the ADX smoothing component. Default: 14.
DI Length: Lookback period for the Directional Movement (+DI/-DI) calculation. Default: 14.
Color: Color of the ADX line. Default: Red.
Timeframe: Sets a specific timeframe for the ADX calculation. Default: Chart.
Wait TF Close: If a timeframe is set, waits for that timeframe's bar to close. Default: true.
ATR:
On/Off: Enables/Disables the ATR plot.
Length: Lookback period for the ATR calculation. Default: 14.
Smoothing: Selects the calculation type for ATR (SMMA (RMA), SMA, EMA, WMA). Default: SMMA (RMA).
Color: Color of the ATR line. Default: #B71C1C.
Timeframe: Sets a specific timeframe for the ATR calculation. Default: Chart.
Wait TF Close: If a timeframe is set, waits for that timeframe's bar to close. Default: true.
Supertrend:
On/Off: Enables/Disables the Supertrend plot and background fill.
ATR Length: Lookback period for the ATR calculation within Supertrend. Default: 10.
Factor: Multiplier for the ATR value used to calculate the Supertrend bands. Default: 3.0.
Up Trend Color: Color for the Supertrend line and background during an uptrend. Default: Green.
Down Trend Color: Color for the Supertrend line and background during a downtrend. Default: Red.
Timeframe: Sets a specific timeframe for the Supertrend calculation. Default: Chart.
Wait TF Close: If a timeframe is set, waits for that timeframe's bar to close. Default: true.
Choppiness Index:
On/Off: Enables/Disables the Choppiness Index plot and bands.
Length: Lookback period for the Choppiness Index calculation. Default: 14.
Offset: Shifts the plot left or right. Default: 0.
Color: Color of the Choppiness Index line. Default: #2962FF.
Timeframe: Sets a specific timeframe for the CI calculation. Default: Chart.
Wait TF Close: If a timeframe is set, waits for that timeframe's bar to close. Default: true.
█ STRATEGY EXAMPLES
The following strategy examples are provided for illustrative and educational purposes only to demonstrate how indicators within this bundle could be combined. They do not constitute financial advice or trading recommendations. Always conduct your own thorough research and backtesting before implementing any trading strategy.
Here are a few ways the indicators in this bundle can be combined:
1. MA Crossover with Multi-Factor Confirmation
Goal: Enter trends early with confirmation from momentum and trend strength, while filtering out choppy conditions.
Setup: Enable Fast MA (e.g., 9 EMA), Slow MA (e.g., 50 EMA), MACD, ADX, and Choppiness Index.
Entry (Long):
- Price > Slow MA (Establishes broader uptrend context).
- Fast MA crosses above Slow MA OR Price crosses above Fast MA.
- MACD Histogram > 0 (Confirms bullish momentum).
- ADX > 20 or 25 (Indicates sufficient trend strength).
- Choppiness Index < 61.8 (Filters out excessively choppy markets).
Entry (Short): Reverse logic (except for ADX and Choppiness Index).
Management: Consider using the Supertrend or an ATR multiple for stop-loss placement.
Image showing a chart with 2:1 long and short trades, highlighting a candle disqualified for a long entry due to ADX below 20.
2. Supertrend Breakout Strategy
Goal: Use Supertrend for primary signals and stops, confirming with volume and trend strength.
Setup: Enable Supertrend, Slow MA, ADX, and OBV.
Entry (Long):
- Supertrend line turns green and price closes above it.
- Price > Slow MA (Optional filter for alignment with larger trend).
- ADX is rising or above 20 (Confirms trending conditions).
- OBV is generally rising or breaks a recent resistance level (Confirms volume supporting the move).
Entry (Short): Reverse logic (except for ADX and OBV).
Management: Initial stop-loss placed just below the green Supertrend line (for longs) or above the red line (for shorts). Trail stop as Supertrend moves.
Image showing a chart with a 2:1 long trade, one candle disqualified for a short entry, and another disqualified for a long entry.
3. Trend Continuation Pullbacks
Goal: Enter established trends during pullbacks to value areas defined by MAs or Supertrend.
Setup: Enable Slow MA, Fast MA (or Supertrend), MACD, and ADX.
Entry (Long):
- Price is consistently above the Slow MA (Strong uptrend established).
- ADX > 25 (Confirms strong trend).
- Price pulls back towards the Fast MA or the green Supertrend line.
- MACD Histogram was decreasing during the pullback but turns positive again OR MACD line crosses above Signal line near the MA/Supertrend level (Indicates momentum resuming).
Entry (Short): Reverse logic (except for ADX) during a confirmed downtrend.
Management: Stop-loss below the recent swing low or the Slow MA/Supertrend level.
Image showing a chart with 2:1 long and short trades, where price pulls back to the fast MA and the MACD histogram changes color, indicating shifts in momentum during the pullbacks.
█ CONCLUSION
The Trend Following Bundle offers a powerful and flexible solution for traders focused on trend-based strategies. By consolidating essential indicators into one script with deep customization, multi-timeframe analysis, and built-in alerts, it simplifies the analytical workflow and allows for the development of robust, multi-conditional trading systems. Whether used for confirming entries, identifying trend strength, managing risk, or filtering market conditions, this bundle provides a versatile foundation for technical analysis.
█ IMPORTANT NOTES
⚠ Parameter Tuning: Indicator settings (lengths, factors, thresholds) are not one-size-fits-all. Adjust them based on the asset being traded, its typical volatility, and the timeframe you are analyzing for optimal performance. Backtesting is crucial .
⚠ Multi-Timeframe Use: Using the Timeframe input allows for powerful analysis but be mindful of potential lag, especially if Wait TF Close is disabled. Signals based on higher timeframes will update only when that higher timeframe bar closes (if Wait TF Close is enabled).
⚠ Confirmation is Key: While the bundle provides many tools, avoid relying on a single indicator's signal. Use combinations to build confluence and increase the probability of successful trades.
⚠ Chart Clarity: With many indicators available, only enable those relevant to your current strategy to avoid overwhelming your chart. Use the On/Off toggles frequently.
⚠ Confirmed Bars Only: Like most TradingView indicators, signals and plots are finalized on the close of the bar. Be cautious acting on intra-bar signals which may change before the bar closes.
█ RISK DISCLAIMER
Trading involves substantial risk of loss and is not suitable for every investor. The Trend Following Bundle indicator provides technical analysis tools for educational and informational purposes only; it does not constitute financial advice or a recommendation to buy or sell any asset. Indicator signals identify potential patterns based on historical data but do not guarantee future price movements or profitability. Always conduct your own thorough analysis, use multiple sources of information, and implement robust risk management practices before making any trading decisions. Past performance is not indicative of future results.
📊 Happy trading! 🚀
Pesquisar nos scripts por "moving average crossover"
Enhanced HHLL Time Confirmation with EMAStrong recommendation , remove the green and red circle , or leave it how it is ;)
To be used on 1 minute chart MSTR , Stock
other time frames are good , ;)
How to Use
HHLL Signals: Look for green triangles (buy) below bars or red triangles (sell) above bars to identify confirmed HH/LL setups with trend alignment.
EMA Signals: Watch for lime circles (buy) below bars or maroon circles (sell) above bars when price crosses the EMA 400 in a trending market.
Trend Context: Use the EMA 400 as a dynamic support/resistance level and the SMA trend filter to gauge market direction.
Enable alerts to get notified of signals in real-time.
Best Practices
Adjust the Lookback Period and Confirmation Minutes to suit your timeframe (e.g., shorter for scalping, longer for swing trading).
Combine with other indicators (e.g., volume, RSI) for additional confirmation.
Test on your preferred market and timeframe to optimize settings.
Indicator Description: Enhanced HHLL Time Confirmation with EMA
Overview
The "Enhanced HHLL Time Confirmation with EMA" is a versatile trading indicator designed to identify key reversal and continuation signals based on Higher Highs (HH), Lower Lows (LL), and a 400-period Exponential Moving Average (EMA). It incorporates time-based confirmation and trend filters to reduce noise and improve signal reliability. This indicator is ideal for traders looking to spot trend shifts or confirm momentum with a combination of price structure and moving average crossovers.
Key Features
Higher High / Lower Low Detection:
Identifies HH and LL based on a customizable lookback period (default: 30 bars).
Signals are confirmed only after a user-defined time period (in minutes, default: 60) has passed since the last HH or LL, ensuring stability.
Trend Filter:
Uses a fast (10-period) and slow (30-period) Simple Moving Average (SMA) crossover to confirm bullish or bearish trends.
Buy signals require a bullish trend (Fast SMA > Slow SMA), and sell signals require a bearish trend (Fast SMA < Slow SMA).
EMA 400 Integration:
Plots a 400-period EMA (customizable) as a long-term trend reference.
Generates additional buy/sell signals when price crosses above (buy) or below (sell) the EMA 400, filtered by trend direction.
Visualizations:
Optional dashed lines for HH and LL levels (toggleable).
Debug markers (diamonds) to visualize HH/LL detection points.
Distinct signal shapes: triangles for HHLL signals (green/red) and circles for EMA signals (lime/maroon).
Alerts:
Built-in alert conditions for HHLL Buy/Sell and EMA Buy/Sell signals, making it easy to stay informed of key events.
Input Parameters
Lookback Period (default: 30): Number of bars to look back for HH/LL detection.
Confirmation Minutes (default: 60): Time (in minutes) required to confirm HH/LL signals.
High/Low Source: Select the price source for HH (default: high) and LL (default: low).
Show HH/LL Lines (default: true): Toggle visibility of HH/LL dashed lines.
Show Debug Markers (default: true): Toggle HH/LL detection markers.
EMA Period (default: 400): Adjust the EMA length.
MAC-Z Indicator with Slope-Based Coloring - Vondor XMAC-Z Indicator with Trend-Based Slope Filtering and Background Shading
Author: Vondor
Description:
The MAC-Z Indicator is an advanced technical analysis tool designed to assess momentum and trend strength using a combination of Z-score and MACD principles. The indicator applies a calculated MAC-Z value, which is derived from a weighted combination of a VWAP Z-score and MACD-style moving averages. The inclusion of a short-term Simple Moving Average (SMA) on the MAC-Z helps identify potential crossovers, providing signals of momentum changes.
Additionally, this enhanced version incorporates trend-based slope filtering, which adjusts the coloring and background of the chart based on the slope of the MAC-Z SMA (SMAMACZ). The filter helps to distinguish between uptrends, downtrends, and flat trends. Dynamic color coding is used to visualize the direction of the trend:
Green: Uptrend, indicating positive momentum.
Red: Downtrend, indicating negative momentum.
Yellow: Flat or sideways trend.
How It Works:
MAC-Z Calculation: The indicator computes a MAC-Z value, blending the Z-score (a standardized measure of relative price) and MACD (trend-following momentum).
SMA Slope Filter: A short-term SMA on the MAC-Z value smooths the signal, and the slope of this SMA determines trend direction. The slope's magnitude is compared against a threshold to determine whether it is flat, up, or down.
Visual Cues: The indicator uses color coding for the MAC-Z SMA line and applies background shading to highlight uptrend, downtrend, and flat trend conditions.
Inputs:
Z-Score Length (lengthz): Defines the period for calculating the VWAP Z-score.
Standard Deviation Length (lengthStdev): The lookback period for standard deviation in the MACD calculation.
MAC-Z Constant A & B (A, B): Constants used to adjust the impact of the Z-score and MACD in the final MAC-Z formula.
Laguerre Smoothing (useLag, gamma): Optional smoothing using the Laguerre filter to reduce noise.
SMA MAC-Z Length (SZlen): Length of the short SMA applied to the MAC-Z to create crossover signals.
Flat Slope Threshold: Defines the sensitivity for detecting flat trends (default is 0.08).
Usage:
The MAC-Z Indicator is particularly useful for identifying trend reversals, momentum shifts, and spotting overbought/oversold conditions. By filtering out noise using the SMA slope-based coloring, it can help avoid false signals in periods of small oscillations.
Best Timeframes:
This indicator is most effective on longer time periods, such as 4-hour or daily charts, where price movements are more stable and less prone to short-term market noise. Using it on lower timeframes may result in frequent false signals and more "choppy" market conditions.
The background shading and color-coded lines make it easy to spot trend changes, helping traders make informed decisions about entering or exiting trades based on longer-term momentum shifts.
Conclusion:
The MAC-Z Indicator with trend filtering is a powerful tool for identifying momentum-driven market trends. It combines the strengths of Z-scores, MACD, and moving average crossovers to provide clear signals, making it an excellent choice for traders who focus on longer timeframes, such as daily or 4-hour charts, to capture significant trend movements.
APEX - Moving Averages [v1]A moving average is the most known indicator that takes into consideration price from the last several periods of the price and calculates a smoothed line also known as a Moving average. This way you will cut out a lot of the noise and have a different view.
The most common usage is the moving average crossover system when you buy and sell when a crossover happens. This system is in general not very profitable but can be used effectively in trending markets.
There is really no general rule to what length should be used. The most well-known and respected lengths are 20 / 50 / 100 / 200 for almost all average. These values are respected as strong resistance and support levels. but if you plan to use a crossover Systems the most profitable settings tend to be when the averages are close together 14 and 28 etc. But this is an area I would appeal to for you to really try out what works and what does not.
Other uses of moving averages are the following:
Crossover system
Moving averages are pointing up and price crosses below (Buy Pullback)
The slow-moving average is Below the fast moving average to help to identify possible bullishness
Can be used as support and resistance lines
If you are an advanced user you may want to try out the following techniques:
Create your own moving average by combining several of those together with the source function
Using the Average True Range to create Keltner Channels
Using Standard deviation to create Bollinger bands (Bollinger bands are also accessible on their own)
You can use Moving averages to smooth the noise on other indicators such as RSI / CCI / MFI
Razor Precision — Buy/SellRazor Precision Stock Action Indicator
The Razor Precision indicator is an advanced, multi-layered market analysis tool designed for traders who demand accuracy and alignment across multiple timeframes. It combines price action, moving average crossovers, volume confirmation, swing structure mapping, and indicator confluence (RSI, MACD, ATR, OBV) to generate actionable buy/sell strength ratings.
Key Features:
Price Action Detection: Identifies higher highs/lows (uptrend) and lower highs/lows (downtrend).
MA Crossover Momentum: Monitors 50/200 moving average crossovers to detect trend shifts.
Volume Surge Analysis: Confirms breakouts or pullbacks with significant volume spikes.
Swing Structure Tracking: Maps internal/external breaks to align with Smart Money Concepts.
Indicator Confluence: Aggregates signals from RSI, MACD, ATR, and OBV for precision confirmation.
Multi-Timeframe Alignment: Compares trends across 15m, 1H, 4H, and Daily charts for stacked or conflicting signals.
Strength Levels: Signals range from SELL, STRONG SELL, ULTRA STRONG SELL to BUY, STRONG BUY, ULTRA STRONG BUY.
Dynamic Table Display: Updates every 5 minutes or when overall action changes, showing per-timeframe analysis and the aggregated decision.
Ideal for swing traders, scalpers, and intraday momentum players who want high-confidence trade direction filtered through multiple technical layers.
EMA Pullback Entry SignalsEMA Pullback Entry Signals is a tool designed to help traders identify trend continuation opportunities by detecting price pullbacks toward a slow EMA (Exponential Moving Average) during trending conditions.
This indicator combines moving average crossovers, price interaction with EMAs, and optional filtering to improve the timing and quality of trend entries.
Core Features:
Golden Cross / Death Cross Detection
Golden Cross: Fast EMA crossing above Slow EMA
Death Cross: Fast EMA crossing below Slow EMA
Optional X-shaped markers for crossover visualization
Pullback Signal on Slow EMA
Green triangle: Price crosses up through the slow EMA during a bullish trend
Red triangle: Price crosses down through the slow EMA during a bearish trend
Designed to capture continuation entries after a trend pullback
Optional Fast EMA Signals
Green arrow: Price crosses above fast EMA in a bull trend
Red arrow: Price crosses below fast EMA in a bear trend
Helps confirm minor retracements or short-term momentum shifts
Sideways Market Filter
Suppresses signals when the fast and slow EMAs are too close
Prevents entries during low-trend or choppy price action
Cooldown Timer
Enforces a minimum bar interval between signals to reduce overtrading
Helps avoid multiple entries from clustered signals
Custom Alerts
Alerts available for all signal types
Include ticker and timeframe in each alert message
Configurable Settings:
Fast and slow EMA lengths1
Toggle individual signal types (pullbacks, fast EMA crosses, crossovers)
Enable/disable cooldown logic and set bar duration
Sideways market detection sensitivity (EMA proximity threshold)
Primary Use Case
This script is most useful for trend-following traders seeking to enter pullbacks after a trend is established. When the price retraces to the slow EMA and then resumes in the trend direction, it can offer high-quality continuation setups. Works well across timeframes and markets.
MTF Trend + Crossover AlertsMulti-Timeframe Trend Dashboard + Crossover Signals
This indicator provides a clean, real-time visual dashboard of trend directions across multiple timeframes (1m, 5m, 15m, 30m, 1H, 4H, 1D), based on moving average crossovers.
🔹 Trend Detection Logic:
When the fast MA is above the slow MA → Bullish trend 🚀
When the fast MA is below the slow MA → Bearish trend 🐻
When both are equal or ranging → Neutral
📊 Dashboard Features:
Displays trend status for each selected timeframe
Color-coded cells (green = bullish, red = bearish, gray = neutral)
Includes emojis for visual clarity
🔔 Buy/Sell Alerts:
On the active chart timeframe, buy and sell signals are plotted when the fast MA crosses above or below the slow MA. You can also enable TradingView alerts based on these events.
🧩 Customizable Inputs:
Fast MA period
Slow MA period
MA type (EMA or SMA)
🔧 Ideal for traders who want a quick snapshot of market structure across multiple timeframes and receive real-time crossover signals on their current chart.
US30 Challenge 3.0Purpose of the Script
This script is designed to provide advanced technical analysis for the US30 index by combining moving averages (MA and EMA) on different timeframes and a modified Keltner channel to analyze volatility. It visualizes trends across both daily and hourly charts and displays their relationship in a custom table, helping traders to make informed decisions based on the alignment of these indicators.
Explanation of the Key Features
User Input Parameters:
The script allows users to customize several parameters, such as whether to show the baseline moving average, which type of moving average to use (e.g., EMA, SMA, HMA), and the length of the moving average. These inputs make the script flexible, allowing users to adjust it to their trading style.
Moving Averages (MA and EMA):
Two types of moving averages are calculated: the baseline (which can be any of several moving average types) and two additional moving averages (SMA and EMA) based on user-defined periods. These are plotted on the chart to provide insight into the trend and momentum of the US30 price action.
The baseline moving average is central to the strategy, and its calculation can be customized by selecting different methods (e.g., SMA, EMA, or HMA), making it adaptable to different market conditions.
Volatility Bands (Keltner Channel):
The script calculates volatility bands using a method similar to the Keltner Channel. It can either use the True Range (ATR) or the simple high-low price difference to determine market volatility.
These bands are useful for identifying overbought and oversold conditions, as well as detecting periods of price contraction or expansion. The width of the bands is adjustable via a multiplier, allowing users to fine-tune their analysis.
Security Function for Higher Timeframes:
The script retrieves moving average values for the daily timeframe using the request.security() function, which allows it to display higher-timeframe information on lower-timeframe charts. This gives traders a multi-timeframe perspective, helping them align their shorter-term trades with the broader trend.
Trend and Cross Detection:
The script detects when the EMA crosses below or above the SMA on both the daily and hourly timeframes. These crossovers are significant for trend-following strategies, as they often signal shifts in market momentum.
It visually indicates whether the EMA is above or below the SMA for both timeframes using color-coded panels, providing an easy-to-read summary of market conditions.
Custom Table Display:
A custom table is created to summarize the trend information for both the daily and hourly timeframes. The table shows whether the EMA is above or below the SMA for each timeframe, with green or red background colors indicating bullish or bearish conditions, respectively.
This feature is particularly useful for traders who want a quick, at-a-glance confirmation of the trend across multiple timeframes without having to analyze the chart visually.
Visual Plotting:
The script plots the moving averages and volatility bands directly on the price chart, providing clear visual cues for traders. The baseline and bands help traders identify key support and resistance levels, while the additional moving averages help confirm the current trend direction.
How to Use the Script
Adjust Parameters:
Before using the script, traders can customize the type of baseline moving average, its length, and the volatility band multiplier to suit their specific strategy and market conditions. Users can also choose whether to use the True Range or high-low difference for the volatility calculation.
Multi-Timeframe Analysis:
The script combines information from both daily and hourly charts, making it ideal for traders who prefer to align their short-term trades with the broader market trend. The custom table provides a quick snapshot of the trend on both timeframes, allowing users to see if the EMA is above or below the SMA in both cases.
Visual Cues:
By watching the relationship between price and the plotted bands, traders can identify potential breakouts, consolidations, or reversals. The moving average crossovers provide a simple, yet powerful, signal for entering or exiting trades.
Trend Confirmation:
The color-coded custom table helps traders quickly confirm the trend without having to analyze the price action directly. If both the daily and hourly EMA are above their respective SMA, this indicates a strong bullish trend. Conversely, if the EMA is below the SMA on both timeframes, this signals a bearish trend.
Differences from Other Scripts
Multi-Timeframe Cross Detection: Unlike many scripts, this one focuses on detecting moving average crossovers across multiple timeframes (daily and hourly), providing traders with a more comprehensive view of the market.
Custom Volatility Band Calculation: It includes a customizable Keltner-like channel, offering flexibility in how volatility is calculated, which is not commonly found in standard indicators.
Visual Trend Table: The addition of a custom table to visually display trend confirmation across different timeframes sets this script apart from most others, making it easier for traders to digest the information.
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Propósito del Script
Este script está diseñado para proporcionar un análisis técnico avanzado del índice US30, combinando medias móviles (MA y EMA) en diferentes marcos de tiempo y un canal Keltner modificado para analizar la volatilidad. Visualiza las tendencias tanto en gráficos diarios como horarios y muestra su relación en una tabla personalizada, ayudando a los traders a tomar decisiones informadas basadas en la alineación de estos indicadores.
Explicación de las Características Clave
Parámetros de Entrada del Usuario:
El script permite a los usuarios personalizar varios parámetros, como si mostrar la media móvil base, qué tipo de media móvil usar (por ejemplo, EMA, SMA, HMA) y la longitud de la media móvil. Estos inputs hacen que el script sea flexible, permitiendo que los usuarios lo ajusten a su estilo de trading.
Medias Móviles (MA y EMA):
Se calculan dos tipos de medias móviles: la base (que puede ser de varios tipos) y dos medias adicionales (SMA y EMA) basadas en los períodos definidos por el usuario. Estas se trazan en el gráfico para proporcionar información sobre la tendencia y el impulso de la acción del precio del US30.
La media móvil base es central en la estrategia, y su cálculo se puede personalizar seleccionando diferentes métodos (por ejemplo, SMA, EMA, o HMA), lo que la hace adaptable a diferentes condiciones de mercado.
Bandas de Volatilidad (Canal Keltner):
El script calcula bandas de volatilidad usando un método similar al Canal Keltner. Puede usar el Rango Verdadero (ATR) o la simple diferencia entre el alto y el bajo del precio para determinar la volatilidad del mercado.
Estas bandas son útiles para identificar condiciones de sobrecompra y sobreventa, así como para detectar períodos de contracción o expansión del precio.
Función security() para Tiempos Superiores:
El script obtiene los valores de las medias móviles para el marco temporal diario, utilizando la función request.security(), lo que permite mostrar información de marcos temporales más largos en gráficos de marcos más cortos.
Detección de Cruces de Tendencia:
El script detecta cuando la EMA cruza por debajo o por encima de la SMA en los gráficos diarios y horarios. Estos cruces son significativos para estrategias de seguimiento de tendencias, ya que suelen señalar cambios en el impulso del mercado.
Tabla de Tendencias Personalizada:
Se crea una tabla personalizada para resumir la información de la tendencia en los gráficos diarios y horarios, mostrando si la EMA está por encima o por debajo de la SMA.
Trazado Visual:
El script traza las medias móviles y las bandas de volatilidad directamente en el gráfico de precios, proporcionando señales visuales claras para los traders.
Cómo usar el Script
Ajustar Parámetros.
Análisis Multi-Tiempo.
Señales Visuales.
Confirmación de Tendencia.
Diferencias con Otros Scripts
Detección Multi-Tiempo de Cruces.
Cálculo Personalizado de Bandas de Volatilidad.
Tabla Visual de Tendencia.
Saludos
VM y CS
Angle Baby from JuiidaEasy and Simple
whenever fast moving average crossunder slow moving average, the bullish angle is created. A positive value in bull angle implies ticker is in bull mode from the reference point of crossunder.
Again, whenever fast moving average crossover slow moving average, the bearish angle is created. A negative value in bear angle implies ticker is in bear mode from the reference point of crossover.
!!!!enjoy!!!!
[SK] ScouterWelcome to the Scouter Indicator
What you will enjoy the most out of this big combo breaker are the many configuration options that will enable you to play around and explore different ideas that will help you find patterns more easily while keeping a sexy modern aesthetic, in a single indicator selection. The name gets pretty long so you'll want to collapse the indicators list with the dropdown arrow provided underneath it.
Below is the list of the different building blocks of the indicator and the available settings for each.
3Moving Averages -------------------------------
Configuration:
* Toggle On/Off
* Length of data
* Source of data
* 4 Types of averages to choose from:
-- Weighted
-- Exponential
-- Simple
-- Volume Weighted
* Crossovers
-- Moving Average 2
-- Moving Average 3
-- VWAP
-- Source of data
-- OFF to disable
* Color
VWAP --------------------------------------------
Configuration:
* Toggle on/off
* Source of data
* Crossovers
-- Moving Average 1
-- Moving Average 2
-- Moving Average 3
-- Source of data
-- OFF to disable* Color
Action Cloud -----------------------------------
Select 2 plots from the indicators configured to create a filled cloud.
Whenever the bottom edge crosses over the top edge the fill color changes to the 'Down' color.
* Toggle on/off
* Top / Bottom Edge Source
-- Moving Average 1
-- Moving Average 2
-- Moving Average 3
-- VWAP
-- Keltner Boll Midline
-- Bollinger Top
-- Bollinger Bottom
-- Keltner Top
-- Keltner Bottom
* Color Up / Down
Keltner Boll Clouds --------------------------
These are cloud fills that resemble trends or golden areas in the price action.
It's up to interpretation, play around with them and see how useful they can be for your own trading.
North cloud is created from the top of the Bollinger to the Top of the Kernel
South cloud is created from the bottom of the Kernel to the bottom of the Bollinger
Configuration:
* Toggle on/off
* Source of data
* Length of data
* Keltner Multiplier
* Bollinger Deviation
* Cloud style ( Fill, Bands )
* Cloud Transparency
* Show / Hide Midline moving average
* Type of moving average used
* Moving Average Crossovers
Market Trend Levels Detector [BigBeluga]Market Trend Levels Detector is an trend-following tool that utilizes moving average crossovers to identify key market trend levels. By detecting local highs and lows after EMA crossovers, the indicator helps traders track significant price zones and trend strength.
🔵 Key Features:
EMA Crossover-Based Trend Levels Detection:
Uses a fast and slow EMA to detect market flow shifts.
When the fast EMA crosses under the slow EMA, the indicator searches for the most recent local top and marks it with a label and horizontal level.
When the fast EMA crosses over the slow EMA, it searches for the most recent local low and marks it accordingly.
Dynamic Zone Levels:
Each detected high or low is plotted as a horizontal level, highlighting important price zones.
Traders can extend these levels to observe how price interacts with them over time.
If price crosses a level, its extension stops. Uncrossed levels continue expanding.
Gradient Trend Band Visualization:
The trend band is formed by shading the area between the two EMAs.
Color intensity varies based on volatility and trend strength.
Strong trends and high volatility areas appear with more intense colors, making trend shifts visually distinct.
🔵 Usage:
Trend Identification: Use EMA crossovers and trend bands to confirm bullish or bearish momentum.
Key Zone Mapping: Observe local high/low levels to track historical reaction points.
Breakout & Rejection Signals: Monitor price interactions with extended levels to assess potential breakouts or reversals.
Volatility Strength Analysis: Use color intensity in the trend band to gauge trend power and possible exhaustion points.
Scalping & Swing Trading: Ideal for both short-term scalping strategies and larger swing trade setups.
Market Trend Levels Detector is a must-have tool for traders looking to track market flow, key price levels, and trend momentum with dynamic visual cues. It provides a comprehensive approach to identifying high-probability trade setups using EMA-based flow detection and trend analysis.
Adaptive Trend Classification: Moving Averages [InvestorUnknown]Adaptive Trend Classification: Moving Averages
Overview
The Adaptive Trend Classification (ATC) Moving Averages indicator is a robust and adaptable investing tool designed to provide dynamic signals based on various types of moving averages and their lengths. This indicator incorporates multiple layers of adaptability to enhance its effectiveness in various market conditions.
Key Features
Adaptability of Moving Average Types and Lengths: The indicator utilizes different types of moving averages (EMA, HMA, WMA, DEMA, LSMA, KAMA) with customizable lengths to adjust to market conditions.
Dynamic Weighting Based on Performance: ] Weights are assigned to each moving average based on the equity they generate, with considerations for a cutout period and decay rate to manage (reduce) the influence of past performances.
Exponential Growth Adjustment: The influence of recent performance is enhanced through an adjustable exponential growth factor, ensuring that more recent data has a greater impact on the signal.
Calibration Mode: Allows users to fine-tune the indicator settings for specific signal periods and backtesting, ensuring optimized performance.
Visualization Options: Multiple customization options for plotting moving averages, color bars, and signal arrows, enhancing the clarity of the visual output.
Alerts: Configurable alert settings to notify users based on specific moving average crossovers or the average signal.
User Inputs
Adaptability Settings
λ (Lambda): Specifies the growth rate for exponential growth calculations.
Decay (%): Determines the rate of depreciation applied to the equity over time.
CutOut Period: Sets the period after which equity calculations start, allowing for a focus on specific time ranges.
Robustness Lengths: Defines the range of robustness for equity calculation with options for Narrow, Medium, or Wide adjustments.
Long/Short Threshold: Sets thresholds for long and short signals.
Calculation Source: The data source used for calculations (e.g., close price).
Moving Averages Settings
Lengths and Weights: Allows customization of lengths and initial weights for each moving average type (EMA, HMA, WMA, DEMA, LSMA, KAMA).
Calibration Mode
Calibration Mode: Enables calibration for fine-tuning inputs.
Calibrate: Specifies which moving average type to calibrate.
Strategy View: Shifts entries and exits by one bar for non-repainting backtesting.
Calculation Logic
Rate of Change (R): Calculates the rate of change in the price.
Set of Moving Averages: Generates multiple moving averages with different lengths for each type.
diflen(length) =>
int L1 = na, int L_1 = na
int L2 = na, int L_2 = na
int L3 = na, int L_3 = na
int L4 = na, int L_4 = na
if robustness == "Narrow"
L1 := length + 1, L_1 := length - 1
L2 := length + 2, L_2 := length - 2
L3 := length + 3, L_3 := length - 3
L4 := length + 4, L_4 := length - 4
else if robustness == "Medium"
L1 := length + 1, L_1 := length - 1
L2 := length + 2, L_2 := length - 2
L3 := length + 4, L_3 := length - 4
L4 := length + 6, L_4 := length - 6
else
L1 := length + 1, L_1 := length - 1
L2 := length + 3, L_2 := length - 3
L3 := length + 5, L_3 := length - 5
L4 := length + 7, L_4 := length - 7
// Function to calculate different types of moving averages
ma_calculation(source, length, ma_type) =>
if ma_type == "EMA"
ta.ema(source, length)
else if ma_type == "HMA"
ta.sma(source, length)
else if ma_type == "WMA"
ta.wma(source, length)
else if ma_type == "DEMA"
ta.dema(source, length)
else if ma_type == "LSMA"
lsma(source,length)
else if ma_type == "KAMA"
kama(source, length)
else
na
// Function to create a set of moving averages with different lengths
SetOfMovingAverages(length, source, ma_type) =>
= diflen(length)
MA = ma_calculation(source, length, ma_type)
MA1 = ma_calculation(source, L1, ma_type)
MA2 = ma_calculation(source, L2, ma_type)
MA3 = ma_calculation(source, L3, ma_type)
MA4 = ma_calculation(source, L4, ma_type)
MA_1 = ma_calculation(source, L_1, ma_type)
MA_2 = ma_calculation(source, L_2, ma_type)
MA_3 = ma_calculation(source, L_3, ma_type)
MA_4 = ma_calculation(source, L_4, ma_type)
Exponential Growth Factor: Computes an exponential growth factor based on the current bar index and growth rate.
// The function `e(L)` calculates an exponential growth factor based on the current bar index and a given growth rate `L`.
e(L) =>
// Calculate the number of bars elapsed.
// If the `bar_index` is 0 (i.e., the very first bar), set `bars` to 1 to avoid division by zero.
bars = bar_index == 0 ? 1 : bar_index
// Define the cuttime time using the `cutout` parameter, which specifies how many bars will be cut out off the time series.
cuttime = time
// Initialize the exponential growth factor `x` to 1.0.
x = 1.0
// Check if `cuttime` is not `na` and the current time is greater than or equal to `cuttime`.
if not na(cuttime) and time >= cuttime
// Use the mathematical constant `e` raised to the power of `L * (bar_index - cutout)`.
// This represents exponential growth over the number of bars since the `cutout`.
x := math.pow(math.e, L * (bar_index - cutout))
x
Equity Calculation: Calculates the equity based on starting equity, signals, and the rate of change, incorporating a natural decay rate.
pine code
// This function calculates the equity based on the starting equity, signals, and rate of change (R).
eq(starting_equity, sig, R) =>
cuttime = time
if not na(cuttime) and time >= cuttime
// Calculate the rate of return `r` by multiplying the rate of change `R` with the exponential growth factor `e(La)`.
r = R * e(La)
// Calculate the depreciation factor `d` as 1 minus the depreciation rate `De`.
d = 1 - De
var float a = 0.0
// If the previous signal `sig ` is positive, set `a` to `r`.
if (sig > 0)
a := r
// If the previous signal `sig ` is negative, set `a` to `-r`.
else if (sig < 0)
a := -r
// Declare the variable `e` to store equity and initialize it to `na`.
var float e = na
// If `e ` (the previous equity value) is not available (first calculation):
if na(e )
e := starting_equity
else
// Update `e` based on the previous equity value, depreciation factor `d`, and adjustment factor `a`.
e := (e * d) * (1 + a)
// Ensure `e` does not drop below 0.25.
if (e < 0.25)
e := 0.25
e
else
na
Signal Generation: Generates signals based on crossovers and computes a weighted signal from multiple moving averages.
Main Calculations
The indicator calculates different moving averages (EMA, HMA, WMA, DEMA, LSMA, KAMA) and their respective signals, applies exponential growth and decay factors to compute equities, and then derives a final signal by averaging weighted signals from all moving averages.
Visualization and Alerts
The final signal, along with additional visual aids like color bars and arrows, is plotted on the chart. Users can also set up alerts based on specific conditions to receive notifications for potential trading opportunities.
Repainting
The indicator does support intra-bar changes of signal but will not repaint once the bar is closed, if you want to get alerts only for signals after bar close, turn on “Strategy View” while setting up the alert.
Conclusion
The Adaptive Trend Classification: Moving Averages Indicator is a sophisticated tool for investors, offering extensive customization and adaptability to changing market conditions. By integrating multiple moving averages and leveraging dynamic weighting based on performance, it aims to provide reliable and timely investing signals.
Simplest Strategy Crossover with Labels Buy/Sell to $1000This Pine Script code, titled Custom Moving Average Crossover with Labels, is a trading indicator developed for the TradingView platform. It enables traders to visualize potential buy and sell signals based on the crossover of two moving averages, offering customizable settings for enhanced flexibility. Here’s a breakdown of its key features:
Key Features
User-Defined Moving Averages:
The script includes two moving averages: a fast and a slow one. Users can adjust the periods of each average (default values are 10 for the fast MA and 100 for the slow MA), allowing them to adapt the indicator to various market conditions and trading styles.
Time-Restricted Signal Validity:
The indicator includes settings for active trading hours, defined in UTC time. Users specify a start and end hour, making it possible to limit buy and sell signals to certain times of the day. This is especially useful for traders who wish to avoid signals outside their preferred trading hours or during periods of high volatility.
Crossover-Based Buy and Sell Signals:
Buy Signal: A "Buy" label is triggered and displayed when the fast moving average crosses above the slow moving average within the user-defined trading hours, signifying a potential upward trend.
Sell Signal: A "Sell" label is generated when the fast moving average crosses below the slow moving average, indicating a possible downtrend. Labels are displayed on the chart, color-coded for easy identification: green for buys and red for sells.
Profit Target Labels (+100 Points):
After each buy or sell entry, the indicator tracks price movements. When the price increases by 100 points from a buy entry or decreases by 100 points from a sell entry, a +100 label appears to signify a 100-point movement.
These labels serve as checkpoints to help traders assess performance and decide on further actions, such as taking profits or adjusting stop losses.
Visual Customization:
The moving averages are color-coded (blue for fast MA, red for slow MA) for easy distinction, and label text appears in white to enhance visibility against various chart backgrounds.
Benefits for Traders
Efficient Trade Identification: The moving average crossover combined with time-based restrictions allows traders to capture key market trends within chosen hours.
Clear Profit Checkpoints: The +100 point label alerts traders to significant price movement, useful for those looking for set profit targets.
Flexibility: Customizable inputs give users control over the indicator’s behavior, making it suitable for both day trading and swing trading.
This indicator is designed for traders looking to enhance their technical analysis with reliable, user-defined buy/sell signals, helping to increase confidence and improve trade timing based on objective data.
D_Rock's MA IndicatorD_Rock's Moving Average Indicator
This is an indicator version of my strategy linked here
**Overview:**
The basic concept of this indicator is to generate a signal when a faster/shorter length moving average crosses over (for Longs) or crosses under (for Shorts) a medium/longer length moving average. All of which are customizable. This indicator can work on any timeframe, however the daily is the timeframe used for the default settings and screenshots, as it was designed to be a multi-day swing strategy. Once a signal has been confirmed with a candle close, based on user options, the strategy is to enter the trade on the open of the next candle.
The crossover strategy is nothing new to trading, but what can make this strategy unique and helpful, is the addition of further confirmation points before a signal is generated along with the ability to show multiple moving averages on the chart if you choose. Each moving average pair can also be turned into a "cloud" instead of the traditional lines, for additional viewing preferences. Just about everything visual can be toggled on/off as well.
This indicator is a Trend (MA) indicator with optional confirmation points using a Momentum (MACD) indicator. While a Volume-based indicator is not shown here, one could consider using their favorite from that category to further compliment the signal idea.
If you would like to see the backtesting results for your favorite moving average crossover/under, please see my strategy version linked here .
Shoutout given to Ripster's Clouds Indicator as pieces of that code were taken and modified to create both the Cloud visualization effects, and the Moving Average Pair Plots that are implemented in this strategy.
MOVING AVERAGE OPTIONS
Select between and change the length & type of up to 5 pairs (10 total) of moving averages
The "Show Cloud-x" option will display a fill color between the "a" and "b" pairs
All moving averages lines can be toggled on/off in the "Style" tab, as well as adjusting their colors.
Visualization features do not affect calculations, meaning you could have all or nothing on the chart and the strategy will still produce results
SIGNAL CHOICES
Choose the fast/shorter length MA and the medium/longer length MA to determine the entry signal
CONFIRMATION OPTIONS
Both of these have customizable values and can be toggled on/off
A candle close over a slower/much longer length moving average
An additional cross-over (cross-under for Shorts) on the MACD indicator using default MACD values. While the MACD indicator is not necessary to have on the chart, it can help to add that for visualization. The calculations will perform whether the indicator is on the chart or not.
ADDITIONAL PLOTS
MACD (Moving Average Convergence/Divergence):
- The MACD is an optional confirmation indicator for this strategy.
- Plotting the indicator is not necessary for the strategy to work, but it can be helpful to visually see the status and position of the MACD if this feature is enabled in the strategy
- This helps to identify if there is also momentum behind the entry signal
RSI based MAGot it! Here’s some information in English specifically about the **RSI-based Moving Average (RSI-based MA)** that we wrote the Pine Script code for:
### RSI-Based Moving Average (RSI-based MA)
An **RSI-based Moving Average (RSI-based MA)** is a technical analysis tool that combines the Relative Strength Index (RSI) with moving averages to provide more insight into market trends and potential reversals. This indicator can be particularly useful for identifying the beginning and end of trends, allowing traders to make more informed decisions.
### How RSI-based MA Works
The RSI-based MA indicator calculates the moving average of the RSI values rather than the asset's price itself. In the script you asked for, we implemented two RSI-based moving averages: one for a 1-minute timeframe and another for a 5-minute timeframe. This dual timeframe approach can help traders spot trends more accurately and identify shifts in momentum across different time periods.
#### Key Features of RSI-based MA:
1. **Dual Timeframe Analysis**:
- The script plots two RSI-based moving averages on the same chart:
- **1-minute RSI-based MA**: A moving average calculated based on RSI values over a 1-minute interval.
- **5-minute RSI-based MA**: A moving average calculated based on RSI values over a 5-minute interval.
- Using different timeframes helps traders see both short-term and longer-term trends simultaneously.
2. **RSI Levels**:
- The RSI-based MA plots values between 0 and 100, similar to the RSI itself. Traders can use typical RSI levels, such as 70 (overbought) and 30 (oversold), to identify potential entry and exit points.
- **Overbought condition**: When the RSI-based MA moves above 70, it indicates the asset might be overbought, suggesting a potential for price to drop.
- **Oversold condition**: When the RSI-based MA drops below 30, it signals that the asset might be oversold, indicating a potential price increase.
3. **Crossovers**:
- **Bullish signal**: If the shorter 1-minute RSI-based MA crosses above the longer 5-minute RSI-based MA, this could indicate a new upward trend beginning.
- **Bearish signal**: Conversely, if the 1-minute RSI-based MA crosses below the 5-minute RSI-based MA, it could suggest the beginning of a downward trend.
### Potential Advantages
- **Smoother Trend Identification**: By applying moving averages to RSI, you can smooth out the short-term fluctuations in RSI values, making it easier to identify the underlying trend.
- **Versatility**: The indicator can be customized for different timeframes and settings, allowing it to be tailored to various trading strategies and asset classes.
- **Enhanced Signals**: Combining RSI and moving averages helps filter out noise, providing more reliable signals for potential trend changes or continuations.
### Potential Limitations
- **Lagging Indicator**: Like most moving averages, RSI-based MAs are lagging indicators. They tend to react after price movements have already begun, which could result in delayed signals.
- **False Signals**: In ranging or highly volatile markets, RSI-based MA may give false signals, indicating a trend reversal or continuation that does not occur.
- **Should Not Be Used Alone**: It's often recommended to use RSI-based MA alongside other technical indicators (like MACD, Bollinger Bands, or moving average crossovers) to confirm signals and reduce the risk of false readings.
### Conclusion
The RSI-based MA can be a powerful tool for traders looking to enhance their understanding of market trends and momentum. By combining RSI with moving averages, traders can smooth out RSI readings and gain a clearer view of the market’s direction. However, as with any indicator, it should be used in conjunction with other tools and strategies to maximize its effectiveness and reduce risk.
RedK TrendBeads: 3 x MA Crossover Signal with Preset TemplatesRedK TrendBeads is a super simple 3 x Moving Average Crossover Signal (Long/Short/Break) script that provides a simple and effective way for traders to identify potential trading opportunities. By combining three moving averages and only exposing a simple signal, the script helps filter out noise and focus on the trend and the trade execution.
Background
===========
A 3 x Moving Average Crossover strategy is a popular trading method in technical analysis . It uses the relationship between a fast, medium, and slow moving averages to generate buy or sell signals.
The approach usually utilizes three moving averages to track the average price of a financial instrument over different time periods. By comparing the fast, medium, and slow moving averages, we can generates a signal to trade long or short
If the fast moving average crosses above the medium moving average and the medium moving average is above the slow moving average, we have a probability of an up-trend forming, and we generate a signal to go long. Conversely, if the fast moving average crosses below the medium moving average and the medium moving average is below the slow moving average, we have a probability of a down-trend forming, and we generate a signal to go short. When the moving averages are not in the right order (above or below each other), we have a trend break, usually on consolidation or base forming.
in TrendBeads, the fastest MA is called "Price Proxy MA" and will be used with a relatively short length to represent the price itself - then there are the Fast MA, Slow MA and a Filter MA (usually with the longest/slowest length) which is the main line that will be used to plot the TrendBeads - So the TrendBeads will represent the state of the other 3 Moving Average lines (Proxy, Fast and Slow) and how they are aligned - and it will also be common to use the Filter / Beads line itself as a main filter, i.e., take long positions *only* when the price action is above the Filter MA, and short positions *only* when the price is below the Filter MA.
So what is different with TrendBeads:
=====================================
Simplicity, No Clutter: I put this together to provide a super simple mechanism to track trend on the price chart without so much noise as i also wanted to have other top-chart indicators (like LadderTrader) - so TrendBeads only shows the "beads" on the chart - they act like "traffic lights" with little distracting information - Simplicity here was deliberately part if the idea
Presets, What others are Watching: The other feature I needed was the ability to track price action against "different sets" of Moving Averages quickly - for example, when executing short-term trades, I needed to use Moving Averages with shorter length and want to utilize my RSS_WMA MA type - but when assessing big breakout opportunities, I need to analyze price action against a different set of MA's with (usually) longer length and mainly SMA's (hint, The Minervini template) - This is where the built-in Preset Templates become very useful.
Having these preset templates quickly available (thru the dropdown in indicator settings) provides time saving, convenience and the confidence that we're looking at what other traders are using in their analysis - so not missing out on key-level breakouts or reversals
TrendBeads v1.0 includes the following 5 preset MA templates
======================================================
Preset 1 : RedK_1: 8RSS / 15RSS / 21RSS / 30SMA
Preset 2 : RedK_2: 5WMA / 10SMA / 20SMA / 40SMA
Preset 3 : SWNG_1: 7EMA / 21EMA / 30EMA / 50SMA
Preset 4 : SWNG_2: 10EMA / 21EMA / 50SMA / 100SMA
Preset 5 : SWNG_3: 10EMA / 21EMA / 100SMA / 200SMA
The above presets represent some of the most common sets of MA's traders use in various scenarios (Short-term/day trading, Swing, Long term / growth). Well, except for the first one since it utilizes my own RSS_WMA :) which I use in many charts
I may add some more presets in future.
below chart shows an example of different presets against AAPL for the same time range / window
There's also the ability to manually set different MA source price, MA type and length for each of the 4 MA lines. Supported MA types are SMA , EMA , WMA , HMA and my RSS_WMA
TrendBeads Usage Tips:
=====================
*If you have used any MA crossover (2 lines or 3 lines) on your chart, your should find TradeBeads very easy to use. TrendBeads works the same way except that the signal will show as colored beads on the Filter MA line instead of showing multiple crossing lines .. and that is by design.
* Feel free to expose any or all of the individual MA lines - for example, i find that exposing the Proxy Line helps in quickly finding famous chart patterns ( cup & handle , H&S ..etc)
* Experiment with the different presets depending on the type of trade you're working on (swing, long term growth candidates, day trades..etc)
* Note that in a long trend up (Aqua Beads), usually the first gray + orange sequence will usually act as a "reversal sign" - and are usually not actionable - always look for the "second" color sequence to action/trade .. Same thing for a long trend down -- get used to how the beads change color against the trend changes and play with various timeframes.
* As usual - we should have other indicators that track strength, volume , etc and ensure proper confirmation before trade execution - A good signal is only a small part of a trade - risk management and good trade execution are key to winning.
Hope some fellow traders will find this useful - feel free to leave me any comments or feedback - Good luck!
AMASling - All Moving Average Sling ShotThis indicator modifies the SlingShot System by Chris Moody to allow it to be based on 'any' Fast and Slow moving average pair. Open Long / Close Long / Open Short / Close Short alerts can be generated for automated bot trading based on the SlingShot strategy:
• Conservative Entry = Fast MA above Slow MA, and previous bar close below Fast MA, and current price above Fast MA
• Conservative Entry = Fast MA below Slow MA, and previous bar close above Fast MA, and current price below Fast MA
• Aggressive Entry = Fast MA above Slow MA, and price below Fast MA
• Aggressive Exit = Fast MA below Slow MA, and price above Fast MA
Entries and exits can also be made based on moving average crossovers, I initially put this in to make it easy to compare to a more standard strategy, but upon backtesting combining crossovers with the SlingShot appeared to produce better results on some charts.
Alerts can also be filtered to allow long deals only when the fast moving average is above the slow moving average (uptrend) and short deals only when the fast moving average is below the slow moving averages (downtrend).
If you have a strategy that can buy based on External Indicators you can use the 'Backtest Signal' which plots the values set in the 'Long / Short Signals' section.
The Fast, Slow and Signal Moving Averages can be set to:
• Simple Moving Average (SMA)
• Exponential Moving Average (EMA)
• Weighted Moving Average (WMA)
• Volume-Weighted Moving Average (VWMA)
• Hull Moving Average (HMA)
• Exponentially Weighted Moving Average (RMA) (SMMA)
• Linear regression curve Moving Average (LSMA)
• Double EMA (DEMA)
• Double SMA (DSMA)
• Double WMA (DWMA)
• Double RMA (DRMA)
• Triple EMA (TEMA)
• Triple SMA (TSMA)
• Triple WMA (TWMA)
• Triple RMA (TRMA)
• Symmetrically Weighted Moving Average (SWMA) ** length does not apply **
• Arnaud Legoux Moving Average (ALMA)
• Variable Index Dynamic Average (VIDYA)
• Fractal Adaptive Moving Average (FRAMA)
'Backtest Signal' and 'Deal State' are plotted to display.none, so change the Style Settings for the chart if you need to see them for testing.
Yes I did choose the name because 'It's Amasling!'
Sequentially Filtered Moving AverageThe previously proposed sequential filter aimed to filter variations lower than a certain period, this allowed to remove noisy variations and retain only the closing price values that occurred after a consecutive up/down, however because of the noisy nature of the closing price large filtering was impossible, in order to tackle to this problem the same indicator using a simple moving average as input is proposed, this allow for smoother results.
We will see that the proposed indicator can provide an alternative moving average that could be used as slow moving average in crossover systems.
The Indicator
The length parameter as the same function as the one described in the sequential filter post, however here length also control the period of the moving average used input, in short larger values of length will return a smoother but less reactive output.
In blue the moving average with length = 200, and in red the moving average with length = 50.
It is interesting to see how the moving average remain flat during ranging/flat market periods
Unfortunately like the sequential filter the sequentially filtered moving average (SFMA) is not affected by large short term variations such as gaps or short term volatile events. This is because of the nature of the sequential filter to ignore movements amplitude and only focus on the variation period.
Moving Average Crossover System
The SFMA is equal to a simple moving average of period length when a consecutive up/down sequence of size length has occurred, else the SFMA is equal to its precedent value, therefore we could expect less crosses between a fast moving average and the SFMA as slow moving average.
We can see on the figure above that the fast moving average of period 50 (in green) cross more with the slow moving average of period 200 (in red) than with the SFMA of period 200 (in blue).
Crosses can occur at the same time as with the classical slow moving average (in red) or a bit later.
Conclusion
A new moving average based on the recently proposed sequential filter has been proposed, it can be seen that under a moving average crossover system the proposed moving average seems to be more effective at producing less crosses without necessarily doing it with an excessive lag, in fact the moving average has either lag (length-1)/2 or lag length .
In the future it could be interesting to provide an hybrid alternative that take into account volatility as well as variations period.
Thanks for reading !
PpSignal The Ultimate Moving Average CrossoverNo matter how many times I explore new concepts, I tend to always incorporate a moving average, or two (if not on price, then on an oscillator). I am going to show the settings I have found to be most beneficial for finding the trend for the ES, forex, crypto etc. First, I have to admit, it is not just a simple crossover. Instead, it is a combination of a MA cross, Multi-Time Frame (MTF), and direction of a normalized moving average.
MA cross X MAdiff<>atrfilter)📈 MA cross X MAdiff<>ATR filter
Smarter Trend Confirmation Using Adaptive Volatility Thresholds
🔍 What It Does
This indicator upgrades classic moving average crossovers by adding volatility awareness via ATR filtering. Instead of reacting to every small crossover, it waits for the distance between two moving averages to exceed a volatility-adjusted threshold, making signals more meaningful and less noisy.
⚙️ Core Logic
Calculates the difference between a Fast MA and a Slow MA.
Uses Average True Range (ATR) as a dynamic volatility filter.
Confirms trend only when MA difference exceeds:
diff > ATR × multiplier → Bullish
diff < -ATR × multiplier → Bearish
Otherwise: Neutral (gray zone)
The gray zone avoids false signals by detecting indecision or choppy markets.
🧠 Customizable Inputs
Choose any MA type independently for Fast and Slow:
SMA, EMA, WMA, VWMA, RMA, DEMA, TEMA, LSMA, Kijun
Control sensitivity via:
ATR Length
ATR Multiplier
✅ Why It Works
Reduces fake outs in ranging markets.
Adapts to volatility automatically.
Fully customizable for any asset or style.
Ideal for trend traders, momentum entries, or as a confluence layer.
Exposure Oscillator (Cumulative 0 to ±100%)
Exposure Oscillator (Cumulative 0 to ±100%)
This Pine Script indicator plots an "Exposure Oscillator" on the chart, which tracks the cumulative market exposure from a range of technical buy and sell signals. The exposure is measured on a scale from -100% (maximum short exposure) to +100% (maximum long exposure), helping traders assess the strength of their position in the market. It provides an intuitive visual cue to aid decision-making for trend-following strategies.
Buy Signals (Increase Exposure Score by +10%)
Buy Signal 1 (Cross Above 21 EMA):
This signal is triggered when the price crosses above the 21-period Exponential Moving Average (EMA), where the current bar closes above the EMA21, and the previous bar closed below the EMA21. This indicates a potential upward price movement as the market shifts into a bullish trend.
buySignal1 = ta.crossover(close, ema21)
Buy Signal 2 (Trending Above 21 EMA):
This signal is triggered when the price closes above the 21-period EMA for each of the last 5 bars, indicating a sustained bullish trend. It confirms that the price is consistently above the EMA21 for a significant period.
buySignal2 = ta.barssince(close <= ema21) > 5
Buy Signal 3 (Living Above 21 EMA):
This signal is triggered when the price has closed above the 21-period EMA for each of the last 15 bars, demonstrating a strong, prolonged uptrend.
buySignal3 = ta.barssince(close <= ema21) > 15
Buy Signal 4 (Cross Above 50 SMA):
This signal is triggered when the price crosses above the 50-period Simple Moving Average (SMA), where the current bar closes above the 50 SMA, and the previous bar closed below it. It indicates a shift toward bullish momentum.
buySignal4 = ta.crossover(close, sma50)
Buy Signal 5 (Cross Above 200 SMA):
This signal is triggered when the price crosses above the 200-period Simple Moving Average (SMA), where the current bar closes above the 200 SMA, and the previous bar closed below it. This suggests a long-term bullish trend.
buySignal5 = ta.crossover(close, sma200)
Buy Signal 6 (Low Above 50 SMA):
This signal is true when the lowest price of the current bar is above the 50-period SMA, indicating strong bullish pressure as the price maintains itself above the moving average.
buySignal6 = low > sma50
Buy Signal 7 (Accumulation Day):
An accumulation day occurs when the closing price is in the upper half of the daily range (greater than 50%) and the volume is larger than the previous bar's volume, suggesting buying pressure and accumulation.
buySignal7 = (close - low) / (high - low) > 0.5 and volume > volume
Buy Signal 8 (Higher High):
This signal occurs when the current bar’s high exceeds the highest high of the previous 14 bars, indicating a breakout or strong upward momentum.
buySignal8 = high > ta.highest(high, 14)
Buy Signal 9 (Key Reversal Bar):
This signal is generated when the stock opens below the low of the previous bar but rallies to close above the previous bar’s high, signaling a potential reversal from bearish to bullish.
buySignal9 = open < low and close > high
Buy Signal 10 (Distribution Day Fall Off):
This signal is triggered when a distribution day (a day with high volume and a close near the low of the range) "falls off" the rolling 25-bar period, indicating the end of a bearish trend or selling pressure.
buySignal10 = ta.barssince(close < sma50 and close < sma50) > 25
Sell Signals (Decrease Exposure Score by -10%)
Sell Signal 1 (Cross Below 21 EMA):
This signal is triggered when the price crosses below the 21-period Exponential Moving Average (EMA), where the current bar closes below the EMA21, and the previous bar closed above it. It suggests that the market may be shifting from a bullish trend to a bearish trend.
sellSignal1 = ta.crossunder(close, ema21)
Sell Signal 2 (Trending Below 21 EMA):
This signal is triggered when the price closes below the 21-period EMA for each of the last 5 bars, indicating a sustained bearish trend.
sellSignal2 = ta.barssince(close >= ema21) > 5
Sell Signal 3 (Living Below 21 EMA):
This signal is triggered when the price has closed below the 21-period EMA for each of the last 15 bars, suggesting a strong downtrend.
sellSignal3 = ta.barssince(close >= ema21) > 15
Sell Signal 4 (Cross Below 50 SMA):
This signal is triggered when the price crosses below the 50-period Simple Moving Average (SMA), where the current bar closes below the 50 SMA, and the previous bar closed above it. It indicates the start of a bearish trend.
sellSignal4 = ta.crossunder(close, sma50)
Sell Signal 5 (Cross Below 200 SMA):
This signal is triggered when the price crosses below the 200-period Simple Moving Average (SMA), where the current bar closes below the 200 SMA, and the previous bar closed above it. It indicates a long-term bearish trend.
sellSignal5 = ta.crossunder(close, sma200)
Sell Signal 6 (High Below 50 SMA):
This signal is true when the highest price of the current bar is below the 50-period SMA, indicating weak bullishness or a potential bearish reversal.
sellSignal6 = high < sma50
Sell Signal 7 (Distribution Day):
A distribution day is identified when the closing range of a bar is less than 50% and the volume is larger than the previous bar's volume, suggesting that selling pressure is increasing.
sellSignal7 = (close - low) / (high - low) < 0.5 and volume > volume
Sell Signal 8 (Lower Low):
This signal occurs when the current bar's low is less than the lowest low of the previous 14 bars, indicating a breakdown or strong downward momentum.
sellSignal8 = low < ta.lowest(low, 14)
Sell Signal 9 (Downside Reversal Bar):
A downside reversal bar occurs when the stock opens above the previous bar's high but falls to close below the previous bar’s low, signaling a reversal from bullish to bearish.
sellSignal9 = open > high and close < low
Sell Signal 10 (Distribution Cluster):
This signal is triggered when a distribution day occurs three times in the rolling 7-bar period, indicating significant selling pressure.
sellSignal10 = ta.valuewhen((close < low) and volume > volume , 1, 7) >= 3
Theme Mode:
Users can select the theme mode (Auto, Dark, or Light) to match the chart's background or to manually choose a light or dark theme for the oscillator's appearance.
Exposure Score Calculation: The script calculates a cumulative exposure score based on a series of buy and sell signals.
Buy signals increase the exposure score, while sell signals decrease it. Each signal impacts the score by ±10%.
Signal Conditions: The buy and sell signals are derived from multiple conditions, including crossovers with moving averages (EMA21, SMA50, SMA200), trend behavior, and price/volume analysis.
Oscillator Visualization: The exposure score is visualized as a line on the chart, changing color based on whether the exposure is positive (long position) or negative (short position). It is limited to the range of -100% to +100%.
Position Type: The indicator also indicates the position type based on the exposure score, labeling it as "Long," "Short," or "Neutral."
Horizontal Lines: Reference lines at 0%, 100%, and -100% visually mark neutral, increasing long, and increasing short exposure levels.
Exposure Table: A table displays the current exposure level (in percentage) and position type ("Long," "Short," or "Neutral"), updated dynamically based on the oscillator’s value.
Inputs:
Theme Mode: Choose "Auto" to use the default chart theme, or manually select "Dark" or "Light."
Usage:
This oscillator is designed to help traders track market sentiment, gauge exposure levels, and manage risk. It can be used for long-term trend-following strategies or short-term trades based on moving average crossovers and volume analysis.
The oscillator operates in conjunction with the chart’s price action and provides a visual representation of the market’s current trend strength and exposure.
Important Considerations:
Risk Management: While the exposure score provides valuable insight, it should be combined with other risk management tools and analysis for optimal trading decisions.
Signal Sensitivity: The accuracy and effectiveness of the signals depend on market conditions and may require adjustments based on the user’s trading strategy or timeframe.
Disclaimer:
This script is for educational purposes only. Trading involves significant risk, and users should carefully evaluate all market conditions and apply appropriate risk management strategies before using this tool in live trading environments.
TICK Divergence + Heikin Ashi [Pt]This indicator identifies divergence between NYSE TICK and price, displays TICK in line, bar, or Heikin Ashi format, calculates various types of moving average lines and shows moving average crossovers.
What is TICK
NYSE TICK, also known as the TICK index, is a technical analysis indicator that shows the number of stocks on the New York Stock Exchange (NYSE) that are trading on an uptick or a downtick in a particular period of time. The TICK index is calculated by subtracting the number of stocks trading on a downtick from the number of stocks trading on an uptick. A reading of +1000 on the TICK index, for example, would indicate that there are 1000 more stocks trading on an uptick than on a downtick. The TICK index is often used as a measure of market sentiment, as it can provide insight into whether there is more buying or selling pressure in the market at a given time. A high TICK index reading may suggest that there is strong buying pressure, while a low TICK index reading may indicate that there is more selling pressure in the market.
The TICK index is usually very volatile, so this indicator is best suited for lower timeframes, such as 1 to 5 min charts.
Features
1) Shows bullish, bearish, hidden bullish and hidden bearish divergences
2) Three display modes for TICK data: Line, Bar, Heikin-Ashi
3) Plot various moving average lines and crossovers. Overall background
4) Configurable significant zones. Background colors will change based on closing TICK value.
Parametric Corrective Linear Moving AveragesImpulse responses can fully describe their associated systems, for example a linearly weighted moving average (WMA) has a linearly decaying impulse response, therefore we can deduce that lag is reduced since recent values are the ones with the most weights, the Blackman moving average (or Blackman filter) has a bell shaped impulse response, that is mid term values are the ones with the most weights, we can deduce that such moving average is pretty smooth, the least squares moving average has negative weights, we can therefore deduce that it aim to heavily reduce lag, and so on. We could even estimate the lag of a moving average by looking at its impulse response (calculating the lag of a moving average is the aim of my next article with Pinescripters) .
Today a new moving average is presented, such moving average use a parametric rectified linear unit function as weighting function, we will see that such moving average can be used as a low lag moving average as well as a signal moving average, thus creating a moving average crossover system. Finally we will estimate the LSMA using the proposed moving average.
Correctivity And The Parametric Rectified Linear Unit Function
Lot of terms are used, each representing one thing, lets start with the easiest one,"corrective". In some of my posts i may have used the term "underweighting", which refer to the process of attributing negative weights to the input of a moving average, a corrective moving average is simply a moving average underweighting oldest values of the input, simply put most of the low lag moving averages you'll find are corrective. This term was used by Aistis Raudys in its paper "Optimal Negative Weight Moving Average for Stock Price Series Smoothing" and i felt like it was a more elegant term to use instead of "low-lag".
Now we will describe the parametric rectified linear unit function (PReLU), this function is the one used as weighting function and is not that complex. This function has two inputs, alpha , and x , in short if x is greater than 0, x remain unchanged, however if x is lower than 0, then the function output is alpha × x , if alpha is equal to 1 then the function is equivalent to an identity function, if alpha is equal to 0 then the function is equivalent to a rectified unit function.
PReLU is mostly used in neural network design as an activation function, i wont explain to you how neural networks works but remember that neural networks aim to mimic the neural networks in the brain, and the activation function mimic the process of neuron firing. Its a super interesting topic because activation functions regroup many functions that can be used for technical indicators, one example being the inverse fisher RSI who make use of the hyperbolic tangent function.
Finally the term parametric used here refer to the ability of the user to change the aspect of the weighting function thanks to certain settings, thinking about it, it isn't a common things for moving averages indicators to let the user modify the characteristics of the weighting function, an exception being the Arnaud Legoux moving average (ALMA) which weighting function is a gaussian function, the user can control the peak and width of the function.
The Indicator
The indicator has two moving averages displayed on the chart, a trigger moving average (in blue) and a signal moving average (in red), their crosses can generate signals. The length parameter control the filter length, with higher values of length filtering longer term price fluctuations.
The percentage of negative weights parameter aim to determine the percentage of negative weights in the weighting function, note that the signal moving average won't use the same amount and will use instead : 100 - Percentage , this allow to reverse the weighting function thus creating a more lagging output for signal. Note that this parameter is caped at 50, this is because values higher than 50 would make the trigger moving average become the signal moving average, in short it inverse the role of the moving averages, that is a percentage of 25 would be the same than 75.
In red the moving average using 25% of negative weights, in blue the same moving average using 14% percent of negative weights. In theory, more negative weights = less lag = more overshoots.
Here the trigger MA in blue has 0% of negative weights, the trigger MA in green has however 35% of negative weights, the difference in lag can be clearly seen. In the case where there is 0% of negative weights the trigger become a simple WMA while the signal one become a moving average with linearly increasing weights.
The corrective factor is the same as alpha in PReLU, and determine the steepness of the negative weights line, this parameter is constrained in a range of (0,1), lower values will create a less steep negative weights line, this parameter is extremely useful when we want to reduce overshoots, an example :
here the corrective factor is equal to 1 (so the weighting function is an identity function) and we use 45% of negative weights, this create lot of overshoots, however a corrective factor of 0.5 reduce them drastically :
Center Of Linearity
The impulse response of the signal moving average is inverse to the impulse response of the trigger moving average, if we where to show them together we would see that they would crosses at a point, denoted center of linearity, therefore the crosses of each moving averages correspond to the cross of the center of linearity oscillator and 0 of same period.
This is also true with the center of gravity oscillator, linear covariance oscillator and linear correlation oscillator. Of course the center of linearity oscillator is way more efficient than the proposed indicator, and if a moving average crossover system is required, then the wma/sma pair is equivalent and way more efficient, who would know that i would propose something with more efficient alternatives ? xD
Estimating A Least Squares Moving Average
I guess...yeah...but its not my fault you know !!! Its a linear weighting function ! What can i do about it ?
The least squares moving average is corrective, its weighting function is linearly decreasing and posses negative weights with an amount of negative weights inferior to 50%, now we only need to find the exact percentage amount of negative weights. How to do it ? Well its not complicated if we recall the estimation with the WMA/SMA combination.
So, an LSMA of period p is equal to : 3WMA(p) - 2SMA(p) , each coefficient of the combination can give us this percentage, that is 2/3*100 = 33.333 , so there are 33.33% percent of negative weights in the weighting function of the least squares moving average.
In blue the trigger moving average with percentage of negative values et to 33.33, and in green the lsma of both period 50.
Conclusion
Altho inefficient, the proposed moving averages remain extremely interesting. They make use of the PReLU function as weighting function and allow the user to have a more accurate control over the characteristics of the moving averages output such as lag and overshoot amount, such parameters could even be made adaptive.
We have also seen how to estimate the least squares moving average, we have seen that the lsma posses 33.333...% of negative weights in its weighting function, another useful information.
The lsma is always behind me, not letting me focus on cryptobot super profit indicators using massive amount of labels, its like each time i make an indicator, the lsma come back, like a jealous creature, she want the center of attention, but you know well that the proposed indicator is inefficient ! Inefficient elegance (effect of the meds) .
Thanks for reading !
Moving Averages (Self-Adjusting Param for Highest Profitability)Moving Averages (Self-Adjusting Parameters for Highest Profitability)
It is a dual moving average crossover system - Smart Moving Averages .
Moving averages are used to identify current price developments and the potential for a change in an established trend.
The crossover in a dual moving average system can be used as a trigger to buy or to sell an asset, or as a trend reversal indication.
The crossover occurrence depends on the periods for which the moving averages are calculated. Using constant period values may not bring the best results.
The Smart Moving Averages change their periods automatically to get the highest profitability .
The concept is similar to the Smart SuperTrend .
Features:
• Self-Adjusting Period parameters
• The graphs for Profitability, Moving Average 1 Period, Moving Average 2 Period and the Moving Averages themselves are available to choose for display from the indicator settings
• A chart layout can be made just for the Smart Moving Averages, having all the graphs nicely displayed
• Alerts for changes in Trend, Moving Average 1 Period, Moving Average 2 Period, Profitability
• Different types of Moving Averages are available to choose from in the indicator settings (SMA, EMA, RMA, WMA, VWMA, DEMA, TEMA, HullMA, TMA).
The range for Moving Average 1 Period, Moving Average 2 Period and Time can be changed in the indicator settings (suggested optimal values are displayed on the chart).
This affects the loading speed (smaller range, faster to load), as well as the accuracy of the signals.
The indicator switches to the most profitable Moving Average 1 Period and Moving Average 2 Period parameters automatically, in real-time.
It scans across the entire historical data made available by TradingView.
The Smart Moving Average system works on all timeframes and symbols available on TradingView.
Exception for when the Volume Weighted Moving Average is used - it doesn't work for symbols without volume data.
It does not repaint!
But several aspects must be considered:
- 1. TradingView periodically removes access to old data while giving access to new data in real-time.
____ The frequency depends on the timeframe, amount of data. It can happen daily for second charts, weekly for minute charts.
____ Since the Indicator wouldn't have access to that old data anymore, the Profitability may change its value, causing a certain degree of repainting.
- 2. The starting time for Backtest must be inserted in the settings panel.
____ As long as the starting time has available price data, the Smart Moving Averages will NOT get repainted.
____ A suggested starting date for the analysis is shown on the chart. Insert the date in the indicator settings.
This indicator is compatible with the Wrapper Module of the Risk Management System indicator, which means they can work together as a trading bot.
