RoGr75 Adaptive EMA CrossDescription:
The RoGr75 Adaptive EMA Cross indicator dynamically combines exponential moving averages (EMAs) with ATR-based volatility buffers to generate buy and sell signals across multiple timeframes. This script uses customizable settings for short and long EMAs, ATR, and volume filters, ensuring that signals are both volatility-adjusted and timeframe-aware. It includes features such as adaptive buffers, distinct price level filters for buying and selling, and a reset mechanism to prevent redundant signals. Additionally, the indicator manages signal labels efficiently to keep your chart uncluttered.
Warning:
This script is provided for testing and educational purposes only. It is not intended as financial advice, and past performance does not guarantee future results. Use at your own risk. Always conduct your own research before making any trading decisions.
Higher Timeframe Input: Choose a specific timeframe for the indicator’s calculations; leave blank to use the chart’s current timeframe.
Signal Distance: Sets the distance of signal labels from the candles as a multiple of the ATR.
Exact Value Offset: Adjusts the secondary marker’s position for precision on the chart.
ATR Length: Defines the period used to calculate the Average True Range for volatility measurement.
EMA Lengths: Specify the periods for the short and long exponential moving averages.
Buy/Sell Buffer ATR Multipliers: Dynamically adjust the trigger distance beyond the EMA crossovers based on volatility.
Price Level Filter: Activates a filter so that buy signals only occur above a set price and sell signals only occur below that price (0 disables the filter).
Volume Filter: Optionally requires current volume to exceed a set multiple of a 20-period average for signal confirmation.
Reset Period: Resets the last signal memory after a specified number of bars to avoid suppressing valid repeat signals.
EMA Colors & Line Width: Customize the appearance of the short and long EMAs.
Label Colors & Styles: Choose colors, text colors, and styles for the buy and sell signal labels.
Background Highlighting: Optionally colors the background when a buy or sell signal occurs.
Label Management: Automatically removes the oldest labels when a set maximum is reached to keep the chart clean.
Alerts: Predefined conditions allow you to set TradingView alerts when buy or sell signals are generated.
Warning: This indicator is for testing purposes only and is not financial advice. Use it at your own risk.
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RSI Bands with Volume and EMAThis script is a comprehensive technical analysis tool designed to help traders identify key market signals using RSI bands, volume, and multiple Exponential Moving Averages (EMAs). It overlays the following on the chart:
RSI Bands: The script calculates and plots two bands based on the Relative Strength Index (RSI), indicating overbought and oversold levels. These bands act as dynamic support and resistance zones:
Resistance Band (Upper Band): Plotted when the RSI exceeds the overbought level, typically indicating a potential sell signal.
Support Band (Lower Band): Plotted when the RSI falls below the oversold level, typically indicating a potential buy signal.
Midline: The average of the upper and lower bands, acting as a neutral reference.
Buy/Sell Labels: Labels are dynamically added to the chart when price reaches the overbought or oversold levels.
A "Buy" label appears when the price reaches the oversold (lower) band.
A "Sell" label appears when the price reaches the overbought (upper) band.
Volume Indicator: The script visualizes trading volume as histograms, with red or green bars representing decreasing or increasing volume, respectively. The volume height is visually reduced for better clarity and comparison.
Exponential Moving Averages (EMAs): The script calculates and plots four key EMAs (12, 26, 50, and 200) to highlight short-term, medium-term, and long-term trends:
EMA 12: Blue
EMA 26: Orange
EMA 50: Purple
EMA 200: Green
The combined use of RSI, volume, and EMAs offers traders a multi-faceted view of the market, assisting in making informed decisions about potential price reversals, trends, and volume analysis. The script is particularly useful for identifying entry and exit points on charts like BTC/USDT, although it can be applied to any asset.
Multi Timeframe MAsThis Pine Script indicator, titled "Multi Timeframe MAs," allows you to plot Exponential Moving Averages (EMAs) or Simple Moving Averages (SMAs) from multiple timeframes on a single chart. This helps traders and analysts visualize and compare different moving averages across various timeframes without having to switch between charts.
Key Features:
Multiple Timeframes:
The script supports six different timeframes, ranging from minutes to weekly intervals.
Users can input their desired timeframes, including custom settings such as "60" (60 minutes), "D" (daily), and "W" (weekly).
Moving Average Types:
Users can choose between Exponential Moving Averages (EMA) and Simple Moving Averages (SMA) for each timeframe.
The script utilizes a ternary operator to determine whether to calculate an EMA or an SMA based on user input.
Customizable Periods:
Each moving average can have a different period, allowing for flexibility in analysis.
The default periods are set to commonly used values (e.g., 15, 20, 5, 12).
Visibility Controls:
Users can toggle the visibility of each moving average line, enabling or disabling them as needed.
This feature helps declutter the chart when specific moving averages are not required.
Black Stepped Lines:
All moving averages are plotted as black, stepped lines to provide a clear and consistent visual representation.
This makes it easy to distinguish these lines from other elements on the chart.
Example Use Cases:
Trend Analysis: Compare short-term and long-term trends by visualizing moving averages from different timeframes on a single chart.
Support and Resistance Levels: Identify key support and resistance levels across multiple timeframes.
Cross-Timeframe Strategy: Develop and test trading strategies that rely on the confluence of moving averages from different timeframes.
This script offers a powerful tool for traders and analysts who want to gain deeper insights into market movements by examining moving averages across multiple timeframes. With its customizable settings and user-friendly interface, it provides a versatile solution for a wide range of trading and analytical needs.
Timeframe-Based Dynamic MA [odnac]
This code is a Timeframe-Based Dynamic MA indicator, written in Pine Script, that dynamically calculates and displays the Simple Moving Average (SMA), Exponential Moving Average (EMA), and Volume Weighted Moving Average (VWMA) based on a 24-hour period, according to the selected timeframe. It automatically adjusts the length of the moving averages for each timeframe, showing the appropriate value optimized for that specific timeframe.
Code Explanation:
Settings:
inputLength: A user input that allows setting the base time (24 hours by default). This value determines the reference for calculating the length of the moving averages according to the timeframe.
transp: A setting for the transparency of the moving average lines. It can accept values from 0 to 100 (0 is opaque, 100 is fully transparent).
Timeframe-Based Moving Average Calculation:
The length variable is dynamically calculated based on the current chart's timeframe.
For shorter timeframes like 1-minute, 2-minute, 3-minute, 5-minute, 10-minute, 15-minute, 30-minute, and 45-minute, the length is calculated by multiplying 60 / selected timeframe to obtain the moving average length based on a 24-hour period.
For longer timeframes like 1 hour, 4 hours, and 1 day, fixed values are used to set the moving average length.
Moving Average Calculation:
sma, ema, vwma: These are the Simple Moving Average, Exponential Moving Average, and Volume Weighted Moving Average calculated based on the length.
else_sma, else_ema, else_vwma: These represent the moving averages fetched from the 1-hour chart. For timeframes that are not calculated directly, the values are taken from the 1-hour chart.
Displaying the Moving Averages:
The moving averages are plotted according to the length calculated for the current timeframe.
If the length for the current timeframe is valid, the corresponding SMA, EMA, and VWMA values are displayed. Otherwise, the values fetched from the 1-hour chart are used.
The moving averages are displayed with the transparency (transp) value set by the user, controlling their opacity on the chart.
How to Use:
Base Time: The user sets a base time. For example, setting inputLength to 24 will calculate the moving average length based on a 24-hour period, which will be dynamically adjusted and displayed according to the selected timeframe.
Transparency Setting: The transparency of the moving average lines can be adjusted using the transp value.
Supported Timeframes:
For shorter timeframes (1-minute, 2-minute, 3-minute, 5-minute, 10-minute, 15-minute, 30-minute, 45-minute), the moving average lengths are dynamically calculated and displayed.
For longer timeframes (1 hour, 4 hours, 1 day), fixed length values are used.
This indicator allows you to dynamically calculate daily moving averages across different timeframes and visually check which moving average is the most appropriate for the selected timeframe.
Dynamic Time Zone EMA with Candle Trend AnalysisCandleTrend TZ is a powerful analytical tool that integrates time zones, exponential moving averages (EMA), and custom candle coloring based on trend direction. This indicator is ideal for traders looking to analyze market trends within specific time sessions effectively.
Key Features:
Time Zones:
Divides the chart into four distinct time intervals, each highlighted with a unique background color.
Fully customizable start and end times for each interval, allowing for adaptation to various trading schedules.
Exponential Moving Averages (EMA):
Displays three EMAs with user-defined lengths:
EMA 200 (blue) for long-term trends.
EMA 50 (green) for medium-term trends.
EMA 20 (red) for short-term trends.
Helps identify trend direction and strength.
Custom Candle Coloring:
Utilizes smoothed Heiken Ashi and Triple EMA (TEMA) calculations for enhanced candle coloring:
Green candles indicate an upward trend.
Red candles signal a downward trend.
Filters out market noise, providing a clear visual representation of market dynamics.
Customization Options:
Time Zones:
Adjustable start and end times for each of the four sessions:
Input hour and minute for start and end times (e.g., Interval 1 Start/End Hour/Minute).
Background colors are pre-defined but can be modified in the code.
EMAs:
User-defined lengths for each EMA:
EMA 200 Length (default: 200)
EMA 50 Length (default: 50)
EMA 20 Length (default: 20)
TEMA Settings:
Parameters for trend smoothing:
TEMA Length (default: 55)
EMA Length (default: 60)
Use Cases:
Intraday Session Analysis:
Use time zones to differentiate between morning, afternoon, and evening market activity.
The background colors make it easy to track session-specific trends.
Trend Trading:
Analyze EMA crossings and their slopes to confirm market direction.
Green candles indicate buying opportunities, while red candles highlight selling signals.
Noise Reduction:
TEMA smoothing removes market noise, allowing you to focus on the primary market trend.
Adaptation to Custom Strategies:
By adjusting time intervals, you can tailor the indicator to specific trading styles or market conditions.
Benefits:
Versatility for both trending and sideways markets.
Intuitive and user-friendly setup.
Suitable for traders of all skill levels, from beginners to professionals.
CandleTrend TZ is an indispensable tool for understanding market dynamics, enhancing your trading precision, and making well-informed decisions. 🚀
Buy Signal Forex & Crypto v0 ImprovedPurpose of the Script:
This script is designed to generate buy and sell signals for trading Forex and cryptocurrencies by analyzing price trends using exponential moving averages (EMAs), volatility, and volume filters. The signals are displayed as arrows on the chart.
What the Script Does
Input Settings:
The script allows the user to configure various settings, such as the lengths of EMAs, a higher timeframe for trend confirmation, and thresholds for volume and volatility (ATR - Average True Range).
Key settings:
5 EMA Length – Length of the short-term EMA.
13 EMA Length – Length of the medium-term EMA.
26 EMA Length – Length of the long-term EMA.
21 EMA Length – Used for trend confirmation on a higher timeframe.
Higher Timeframe – Lets you select a timeframe (e.g., daily) for confirming the overall trend.
ATR Threshold – Filters out signals when the market's volatility is too low.
Volume Filter – Ensures sufficient trading activity before generating signals.
Calculating EMAs (Exponential Moving Averages):
Four EMAs are calculated:
ema5 (short-term), ema13 (medium-term), ema26 (long-term), and ema21 (higher timeframe confirmation).
These EMAs help determine price trends and crossovers, which are critical for identifying buy and sell opportunities.
Trend Confirmation Using a Higher Timeframe:
The 21 EMA on the higher timeframe (e.g., daily) is used to confirm the overall direction of the market.
Defining Signal Conditions:
Buy Signal:
A buy signal is generated when:
ema5 crosses above ema13 (indicating a bullish trend).
ema5 crosses above ema26 (stronger bullish confirmation).
The closing price is above ema5, ema13, ema26, and the 21 EMA on the higher timeframe.
The market's volatility (ATR) is above the defined threshold.
The volume meets the conditions or volume filtering is disabled.
Sell Signal:
A sell signal is generated when:
ema5 crosses below ema13 (indicating a bearish trend).
ema5 crosses below ema26 (stronger bearish confirmation).
The closing price is below ema5, ema13, ema26, and the 21 EMA on the higher timeframe.
The market's volatility (ATR) is above the defined threshold.
The volume meets the conditions or volume filtering is disabled.
Volume Filtering:
Ensures there’s enough trading activity by comparing the current volume to a 20-period moving average of volume.
Persistent Variables:
These variables (crossed13 and crossed13Sell) help track whether the short-term EMA (ema5) has crossed the medium-term EMA (ema13). This prevents false or repeated signals.
Displaying Signals on the Chart:
Buy signals are displayed as green upward arrows below the price.
Sell signals are displayed as red downward arrows above the price.
How It Helps Traders:
This script provides visual cues for potential entry and exit points by combining moving average crossovers, volatility, volume, and higher timeframe trend confirmation. It works well for trending markets and ensures signals are filtered for stronger conditions to reduce noise.
BTCUSDT Premium Prices and EMA360The Exponential Moving Average (EMA) is a widely used technical indicator in trading that helps analysts and traders identify price trends over a specified period. Unlike the Simple Moving Average (SMA), which treats all data points equally, the EMA gives more weight to recent prices, making it more sensitive to recent price movements. This characteristic allows the EMA to react quickly to changes in market conditions, providing timely insights into potential trends.
## **Key Features of EMA**
- **Weighting Mechanism**: The EMA uses a smoothing factor that emphasizes recent price data while still considering older observations. This leads to a more dynamic representation of price trends compared to the SMA .
- **Trend Identification**: The EMA is particularly effective for identifying the direction of a stock's price movement. A rising EMA indicates an uptrend, while a declining EMA suggests a downtrend. Traders often use multiple EMAs with different periods to spot crossovers, which can signal potential buy or sell opportunities .
- **Calculation**: To calculate the EMA, one typically starts with an initial Simple Moving Average (SMA) for the first period, then applies the following formula for subsequent periods:
$$
\text{EMA}_{\text{today}} = \left(\text{Price}_{\text{today}} \times \left(\frac{2}{N + 1}\right)\right) + \left(\text{EMA}_{\text{yesterday}} \times \left(1 - \frac{2}{N + 1}\right)\right)
$$
Where $$N$$ is the number of periods .
## **Applications in Trading**
Traders utilize the EMA in various strategies, including:
- **Crossover Strategies**: By monitoring two EMAs of different lengths (e.g., 50-day and 200-day), traders can identify bullish or bearish signals when one crosses above or below the other .
- **Combining Indicators**: The EMA can be combined with other indicators like the Relative Strength Index (RSI) or Moving Average Convergence Divergence (MACD) for enhanced decision-making .
In summary, the Exponential Moving Average is a crucial tool for traders seeking to navigate market trends effectively. Its ability to prioritize recent data makes it an essential component of many trading strategies, providing insights that can lead to informed investment decisions.
[blackcat] L2 BullBear OscillatorOVERVIEW
The " L2 BullBear Oscillator" is a custom trading indicator for TradingView that helps traders identify market trends, potential tops and bottoms, and the strength of trends using various moving averages and price relationships.
FEATURES
Calculates a base oscillator based on the close price relative to the highest and lowest prices over the past 60 periods.
Smoothes the oscillator using exponential moving averages (EMAs).
Determines market strength through relative strength indicators and moving averages.
Identifies potential tops and strong support levels based on specific conditions involving oscillators and price actions.
Plots several signals to help traders make informed decisions.
HOW TO USE
Install the script on your TradingView chart.
Customize the settings in the "Inputs" section:
Set the periods for the short-term and long-term EMAs.
Set the periods for the three SMAs used in calculations.
Interpret the plots:
BullBear Signal (Fuchsia Line): Indicates the overall market trend. Uptrends suggest buying opportunities, while downtrends suggest selling.
Decreasing BullBear Signal (Aqua Line): Highlights periods when the trend is weakening or turning bearish, signaling possible selling opportunities.
Potential Top Condition (Yellow Plot): Signals possible trend reversals from bullish to bearish, indicating times to consider taking profits or preparing for a downtrend.
High Price Condition (Yellow Plot): Indicates strong bullish momentum but also potentially overbought conditions, which might precede a correction.
Earning Condition (Red Line): Possibly signifies strong bullish signals, indicating good times to enter long positions.
Strong Support Condition (White Arrows): Signals potential bottoms or support levels, indicating buying opportunities.
Start Hiding Condition (Fuchsia Plot): Might indicate times to exit positions or reduce exposure due to unfavorable market conditions.
ALGORITHMS
Moving Averages:
Simple Moving Averages (SMAs): Used to calculate averages of price data over specified periods.
Exponential Moving Averages (EMAs): Used to give more weight to recent prices, making the moving averages more responsive to new data.
Oscillator Calculation:
The base oscillator is calculated based on the close price's position within the highest and lowest prices over 60 periods, normalized to a 0-100 scale.
This oscillator is then smoothed using EMAs to reduce noise and make trends more visible.
Relative Strength Indicator:
Calculated based on the close price's position within the highest and lowest prices over 20 periods, also normalized to a 0-100 scale.
This is smoothed using SMAs to get a more stable signal.
Condition Checks:
Various conditions are checked to identify potential tops, strong support, and other market states based on the relationships between these indicators and price actions.
LIMITATIONS
The script is based on historical data and does not guarantee future performance.
It is recommended to use the script in conjunction with other analysis tools.
The effectiveness of the strategy may vary depending on the market conditions and asset being traded.
NOTES
The script is designed for educational purposes and should not be considered financial advice.
Users are encouraged to backtest the strategy on a demo account before applying it to live trades.
THANKS
Special thanks to the TradingView community for their support and feedback.
Aura Vibes EMA Ribbon + VStop + SAR + Bollinger BandsThe combination of Exponential Moving Averages (EMA), Volatility Stop (VStop), Parabolic SAR (PSAR), and Bollinger Bands (BB) offers a comprehensive approach to technical analysis, each serving a distinct purpose:
Exponential Moving Averages (EMA): EMAs are used to identify the direction of the trend by smoothing price data. Shorter-period EMAs react more quickly to price changes, while longer-period EMAs provide a broader view of the trend.
Volatility Stop (VStop): VStop is a dynamic stop-loss mechanism that adjusts based on market volatility, typically using the Average True Range (ATR). This allows traders to set stop-loss levels that accommodate market fluctuations, potentially reducing the likelihood of premature stop-outs.
Parabolic SAR (PSAR): PSAR is a trend-following indicator that provides potential entry and exit points by plotting dots above or below the price chart. When the dots are below the price, it suggests an uptrend; when above, a downtrend.
Bollinger Bands (BB): BB consists of a middle band (typically a 20-period simple moving average) and two outer bands set at standard deviations above and below the middle band. These bands expand and contract based on market volatility, helping traders identify overbought or oversold conditions.
Integrating these indicators can enhance trading strategies:
Trend Identification: Use EMAs to determine the prevailing market trend. For instance, a short-term EMA crossing above a long-term EMA may signal an uptrend.
Entry and Exit Points: Combine PSAR and BB to pinpoint potential entry and exit points. For example, a PSAR dot appearing below the price during an uptrend, coinciding with the price touching the lower Bollinger Band, might indicate a buying opportunity.
Risk Management: Implement VStop to set adaptive stop-loss levels that adjust with market volatility, providing a buffer against market noise.
By thoughtfully combining these indicators, traders can develop a robust trading system that adapts to various market conditions.
Phase Cross Strategy with Zone### Introduction to the Strategy
Welcome to the **Phase Cross Strategy with Zone and EMA Analysis**. This strategy is designed to help traders identify potential buy and sell opportunities based on the crossover of smoothed oscillators (referred to as "phases") and exponential moving averages (EMAs). By combining these two methods, the strategy offers a versatile tool for both trend-following and short-term trading setups.
### Key Features
1. **Phase Cross Signals**:
- The strategy uses two smoothed oscillators:
- **Leading Phase**: A simple moving average (SMA) with an upward offset.
- **Lagging Phase**: An exponential moving average (EMA) with a downward offset.
- Buy and sell signals are generated when these phases cross over or under each other, visually represented on the chart with green (buy) and red (sell) labels.
2. **Phase Zone Visualization**:
- The area between the two phases is filled with a green or red zone, indicating bullish or bearish conditions:
- Green zone: Leading phase is above the lagging phase (potential uptrend).
- Red zone: Leading phase is below the lagging phase (potential downtrend).
3. **EMA Analysis**:
- Includes five commonly used EMAs (13, 26, 50, 100, and 200) for additional trend analysis.
- Crossovers of the EMA 13 and EMA 26 act as secondary buy/sell signals to confirm or enhance the phase-based signals.
4. **Customizable Parameters**:
- You can adjust the smoothing length, source (price data), and offset to fine-tune the strategy for your preferred trading style.
### What to Pay Attention To
1. **Phases and Zones**:
- Use the green/red phase zone as an overall trend guide.
- Avoid taking trades when the phases are too close or choppy, as it may indicate a ranging market.
2. **EMA Trends**:
- Align your trades with the longer-term trend shown by the EMAs. For example:
- In an uptrend (price above EMA 50 or EMA 200), prioritize buy signals.
- In a downtrend (price below EMA 50 or EMA 200), prioritize sell signals.
3. **Signal Confirmation**:
- Consider combining phase cross signals with EMA crossovers for higher-confidence trades.
- Look for confluence between the phase signals and EMA trends.
4. **Risk Management**:
- Always set stop-loss and take-profit levels to manage risk.
- Use the phase and EMA zones to estimate potential support/resistance areas for exits.
5. **Whipsaws and False Signals**:
- Be cautious in low-volatility or sideways markets, as the strategy may generate false signals.
- Use additional indicators or filters to avoid entering trades during unclear market conditions.
### How to Use
1. Add the strategy to your chart in TradingView.
2. Adjust the input settings (e.g., smoothing length, offsets) to suit your trading preferences.
3. Enable the strategy tester to evaluate its performance on historical data.
4. Combine the signals with your own analysis and risk management plan for best results.
This strategy is a versatile tool, but like any trading method, it requires proper understanding and discretion. Always backtest thoroughly and trade with discipline. Let me know if you need further assistance or adjustments to the strategy!
Enhanced SMA Signal Box With TargetsEnhanced SMA Signal Box With Targets
The Enhanced SMA Signal Box With Targets indicator is a versatile tool designed to help traders identify buy and sell signals based on various technical analysis methods, including Simple Moving Averages (SMA), Exponential Moving Averages (EMA), and Average True Range (ATR). This indicator provides clear visual signals and target levels to assist traders in making informed decisions.
Key Features
Simple Moving Averages (SMA):
20 SMA: Represents short-term price trends.
50 SMA: Represents long-term price trends.
Exponential Moving Average (EMA):
50 EMA: Adds additional trend confirmation to the SMA.
Signal Visualization:
Buy Signals: Displayed with a green "🚀" emoji below the candle when the closing price crosses above the 20 SMA.
Sell Signals: Displayed with a red "💣" emoji above the candle when the closing price crosses below the 20 SMA.
Yellow Box: Highlights the signal candle, making it easy to identify the most recent and historical signals.
Target Prices:
First Target: Based on the size of the signal candle.
Second and Third Targets: Calculated using the ATR multiplied by a user-defined factor to help set profit-taking levels.
Customizable Filters:
MACD Filter: Users can enable this filter to use MACD line crossings for signal confirmation.
Higher Timeframe SMA Filter: Users can set a higher timeframe SMA to filter signals based on the long-term trend.
Volume Filter: Users can set a minimum volume threshold for signals.
Alerts:
Users can enable alerts for buy and sell signals, ensuring they never miss a trading opportunity.
Customizable Settings:
Line Colors and Thickness: Users can adjust the colors and thickness of the SMAs, EMA, and signal boxes.
Signal Emojis: Users can choose custom emojis for buy and sell signals.
How It Works
Trend Calculation: The indicator calculates short-term and long-term trends using the 20 SMA, 50 SMA, and 50 EMA.
Signal Generation: Buy and sell signals are generated when the price crosses the 20 SMA, with optional confirmation from MACD and volume filters.
Target Calculation: Profit targets are based on the size of the signal candle and ATR, helping traders set realistic profit-taking levels.
Important Notice
This indicator is designed for educational purposes and should not be considered as financial advice. Past performance does not guarantee future results. Users should conduct their own research and analysis before making any trading decisions. Trading involves substantial risk and is not suitable for every investor. Always consider your financial situation, investment objectives, and risk tolerance before trading. Please ensure you comply with all the relevant regulations and TradingView's house rules while using this indicator.
Arrow-SimplyTrade vol1.5-FinalTitle: Arrow-SimplyTrade vol1.5-Final
Description:
This advanced trading indicator is designed to assist traders in analyzing market trends and identifying optimal entry signals. It combines several popular technical analysis tools and strategies, including EMA (Exponential Moving Average), MA (Simple Moving Averages), Bollinger Bands, and candlestick patterns. This indicator provides both trend-following and counter-trend signals, making it suitable for various trading styles, such as scalping and swing trading.
Main Features:
EMA (Exponential Moving Average):
EMA200 is the main trend line that helps determine the overall market direction. When the price is above EMA200, the trend is considered bullish, and when the price is below EMA200, the trend is considered bearish.
It helps filter out signals that go against the prevailing market trend.
Simple Moving Averages (MA5 and MA15):
This indicator uses two Simple Moving Averages: MA5 (Fast) and MA15 (Slow). Their crossovers create buy or sell signals:
Buy Signal: When MA5 crosses above MA15, signaling a potential upward trend.
Sell Signal: When MA5 crosses below MA15, signaling a potential downward trend.
Bollinger Bands:
Bollinger Bands measure market volatility and can identify periods of overbought or oversold conditions. The Upper and Lower Bands help detect potential breakout points, while the Middle Line (Basis) serves as dynamic support or resistance.
This tool is particularly useful for identifying volatile conditions and potential reversals.
Arrows:
The indicator plots arrows on the chart to signal entry opportunities:
Green Arrows signal buy opportunities (when MA5 crosses above MA15 and price is above EMA200).
Red Arrows signal sell opportunities (when MA5 crosses below MA15 and price is below EMA200).
Opposite Arrows: Optionally, the indicator can also display arrows for counter-trend signals, triggered by MA5 and MA15 crossovers, regardless of the price's position relative to EMA200.
Candlestick Patterns:
The indicator detects popular candlestick patterns such as Bullish Engulfing, Bearish Engulfing, Hammer, and Doji.
These patterns are important for confirming entry points or anticipating trend reversals.
How to Use:
EMA200: The main trend line. If the price is above EMA200, consider long positions. If the price is below EMA200, consider short positions.
MA5 and MA15: Short-term trend indicators. The crossover of these averages generates buy or sell signals.
Bollinger Bands: Use these bands to spot overbought/oversold conditions. Breakouts from the bands may signal potential entry points.
Arrows: Green arrows represent buy signals, and red arrows represent sell signals. Opposite direction arrows can be used for counter-trend strategies.
Candlestick Patterns: Patterns like Bullish Engulfing or Doji can help confirm the signals.
Customizable Settings:
Fully customizable colors, line styles, and display settings for EMA, MAs, Bollinger Bands, and arrows.
The Candlestick Patterns feature can be toggled on or off based on user preference.
Important Notes:
This indicator is intended to be used in conjunction with other analysis tools.
Past performance does not guarantee future results.
Polish:
Tytuł: Arrow-SimplyTrade vol1.5-Final
Opis:
Ten zaawansowany wskaźnik handlowy jest zaprojektowany, aby pomóc traderom w analizie trendów rynkowych oraz identyfikowaniu optymalnych sygnałów wejścia. Łączy w sobie kilka popularnych narzędzi analizy technicznej i strategii, w tym EMA (Wykładnicza Średnia Ruchoma), MA (Prosta Średnia Ruchoma), Bollinger Bands oraz formacje świecowe. Wskaźnik generuje zarówno sygnały podążające za trendem, jak i przeciwnym trendowi, co sprawia, że jest odpowiedni do różnych stylów handlu, takich jak scalping oraz swing trading.
Główne Funkcje:
EMA (Wykładnicza Średnia Ruchoma):
EMA200 to główna linia trendu, która pomaga określić ogólny kierunek rynku. Gdy cena znajduje się powyżej EMA200, trend jest uznawany za wzrostowy, a gdy poniżej EMA200, za spadkowy.
Pomaga to filtrować sygnały, które są niezgodne z głównym trendem rynkowym.
Proste Średnie Ruchome (MA5 i MA15):
Wskaźnik używa dwóch Prostych Średnich Ruchomych: MA5 (szybka) oraz MA15 (wolna). Ich przecięcia generują sygnały kupna lub sprzedaży:
Sygnał Kupna: Kiedy MA5 przecina MA15 od dołu, sygnalizując potencjalny wzrost.
Sygnał Sprzedaży: Kiedy MA5 przecina MA15 od góry, sygnalizując potencjalny spadek.
Bollinger Bands:
Bollinger Bands mierzą zmienność rynku i mogą pomóc w identyfikowaniu okresów wykupienia lub wyprzedania rynku. Górna i dolna linia pomagają wykrywać punkty wybicia, a Środkowa Linia (Basis) działa jako dynamiczny poziom wsparcia lub oporu.
Narzędzie to jest szczególnie przydatne w wykrywaniu warunków zmienności i potencjalnych odwróceń trendu.
Strzałki:
Wskaźnik wyświetla strzałki na wykresie, które wskazują sygnały kupna i sprzedaży:
Zielona strzałka wskazuje sygnał kupna (gdy MA5 przecina MA15 i cena jest powyżej EMA200).
Czerwona strzałka wskazuje sygnał sprzedaży (gdy MA5 przecina MA15 i cena jest poniżej EMA200).
Strzałki w przeciwnym kierunku: Opcjonalna funkcja, która pokazuje strzałki w przeciwnym kierunku, uruchamiane przez przecięcia MA5 i MA15, niezależnie od pozycji ceny względem EMA200.
Formacje Świecowe:
Wskaźnik wykrywa popularne formacje świecowe, takie jak Bullish Engulfing, Bearish Engulfing, Hammer oraz Doji.
Formacje te pomagają traderom potwierdzić punkty wejścia i przewidzieć możliwe odwrócenia trendu.
Jak Używać:
EMA200: Główna linia trendu. Jeśli cena jest powyżej EMA200, rozważaj pozycje długie. Jeśli cena jest poniżej EMA200, rozważaj pozycje krótkie.
MA5 i MA15: Śledzą krótkoterminowe zmiany trendu. Przecięcia tych średnich generują sygnały kupna lub sprzedaży.
Bollinger Bands: Używaj tych pasm do wykrywania wykupionych lub wyprzedanych warunków. Wybicia z pasm mogą wskazywać potencjalne punkty wejścia.
Strzałki: Zielona strzałka wskazuje sygnał kupna, a czerwona strzałka sygnał sprzedaży. Strzałki w przeciwnym kierunku mogą być używane do strategii przeciwtrendowych.
Formacje Świecowe: Formacje takie jak Bullish Engulfing czy Doji mogą pomóc w potwierdzaniu sygnałów.
Ustawienia Personalizacji:
W pełni personalizowalne kolory, style linii i ustawienia wyświetlania dla EMA, MAs, Bollinger Bands oraz strzałek.
Funkcja Formacji Świecowych może być włączana lub wyłączana według preferencji użytkownika.
Ważne Uwagi:
Ten wskaźnik powinien być używany w połączeniu z innymi narzędziami analizy rynku.
Wyniki z przeszłości nie gwarantują wyników w przyszłości.
EMA Crossover with RSI and DistanceEMA Crossover with RSI and Distance Strategy
This strategy combines Exponential Moving Averages (EMA) with Relative Strength Index (RSI) and distance-based conditions to generate buy, sell, and neutral signals. It is designed to help traders identify entry and exit points based on multiple technical indicators.
Key Components:
Exponential Moving Averages (EMA):
The strategy uses four EMAs: EMA 5, EMA 13, EMA 40, and EMA 55.
A buy signal (long) is triggered when EMA 5 crosses above EMA 13 and EMA 40 crosses above EMA 55.
A sell signal (short) is generated when EMA 55 crosses above EMA 40.
The distance between EMAs (5 and 13) is also important. If the current distance between EMA 5 and EMA 13 is smaller than the average distance over the last 5 candles, a neutral condition is triggered, preventing a signal even if all other conditions are met.
Relative Strength Index (RSI):
The 14-period RSI is used to determine market strength and direction.
The strategy requires RSI to be above 50 and greater than the average RSI (over the past 14 periods) for a buy signal.
If the RSI is above 60, a green signal is given, indicating a strong bullish condition, even if the EMA conditions are not fully met.
If the RSI is below 40, a red signal is given, indicating a strong bearish condition, regardless of the EMA crossover.
Distance Conditions:
The strategy calculates the distance between EMA 5 and EMA 13 on each candle and compares it to the average distance of the last 5 candles.
If the current distance between EMA 5 and EMA 13 is lower than the average of the last 5 candles, a neutral signal is triggered. This helps avoid entering a trade when the market is losing momentum.
Additionally, if the distance between EMA 40 and EMA 13 is greater than the previous distance, the previous signal is kept intact, ensuring that the trend is still strong enough for the signal to remain valid.
Signal Persistence:
Once a buy (green) or sell (red) signal is triggered, it remains intact as long as the price is closing above EMA 5 for long trades or below EMA 55 for short trades.
If the price moves below EMA 5 for long trades or above EMA 55 for short trades, the signal is recalculated based on the most recent conditions.
Signal Display:
Green Signals: Represent a strong buy signal and are shown below the candle when the RSI is above 60.
Red Signals: Represent a strong sell signal and are shown above the candle when the RSI is below 40.
Neutral Signals: Displayed when the conditions for entry are not met, specifically when the EMA distance condition is violated.
Long and Short Signals: Additional signals are shown based on the EMA crossovers and RSI conditions. These signals are plotted below the candle for long positions and above the candle for short positions.
Trade Logic:
Long Entry: Enter a long trade when EMA 5 crosses above EMA 13, EMA 40 crosses above EMA 55, and the RSI is above 50 and greater than the average RSI. Additionally, the current distance between EMA 5 and EMA 13 should be larger than the average distance of the last 5 candles.
Short Entry: Enter a short trade when EMA 55 crosses above EMA 40 and the RSI is below 40.
Neutral Condition: If the distance between EMA 5 and EMA 13 is smaller than the average distance over the last 5 candles, the strategy will not trigger a signal, even if other conditions are met.
Fund Master Plus (TV Rev1, Dec2024)License: Mozilla Public License 2.0 (Open Source)
Version: Pine Script™ v6
Indicator Name: Fund Master Plus (TV Rev1, Dec2024)
Short Title: Fund Master Plus
About Fund Master Plus
Fund Master Plus indicator is an oscillating technical analysis tool designed to simulate the fund inflow and outflow trend.
Key features:
1. Fund Master Value and Candle
The candle highlights the direction of the Fund Master value.
Green candles represent an upward trend, while red candles indicate a downward trend.
When the candle crossover 0, it is a sign of the start of mid term bull, vice versa.
When the candle is above 0, it is a sign of mid-term bull, vice versa.
2. Fund Master Bar
This bar provides added visual representation of the Fund Master value.
Green bars represent and upward trend, while red bars indicate a downward trend.
3. FM EMA (Exponential Moving Average)
The Fund Master EMA (Exponential Moving Average) helps smooth out FM value fluctuations
and identify the overall trend.
When the candle crossover FM EMA, it is a sign of the start of short term bull, vice vera.
When the candle is above FM EMA, it is a sign of short term bull, vice versa.
4. EMA of FM EMA
This is an EMA of the Fund Master EMA, which can provide additional insights into the
trend's strength.
5. Candle Turn Green or Red
This feature generates alerts to signal potential trend changes.
6. Bottom Deviation & Top Deviation
Line plot and label of these deviation will show on indicator and the price chart to help user
identify potential buying and selling opportunities.
7. Alertcondition for Turn Green or Turn Red
User can set the alert using the Create Alert (the Clock Icon).
8. Table Summary
A table summary is provided to show indicator name, FM value, FM candle status,
Crossover, Crossunder, Turn Green, Turn Red status, Bar Number etc.
A tooltip for Filter Setting and a filter status check.
SOP to use the indicator:
Table (GR1):
Show Table: This option enables or disables the display of the table.
Text Size: This option allows you to set the text size for the table entries.
Width: This option sets the width of the table.
Fund Master Candle Color Setting (GR2):
FM candle will up by default.
This option enables the color setting of Fund Master candle.
Up: This option sets the color of the Fund Master candle for uptrend.
Down: This option sets the color of the Fund Master candle for downtrend.
Fund Master Bar and Color Setting (GR3):
Show Fund Master Bar: This option enables or disables the display of the Fund Master bar.
Up: This option sets the color of the Fund Master bar for uptrend.
Down: This option sets the color of the Fund Master bar for downtrend.
Fund Master EMA plots (GR4):
Show FM EMA: This option enables or disables the display of the Fund Master EMA line.
Look Back Period: This option sets the lookback period for the Fund Master EMA calculation.
EMA Color: This option sets the color of the Fund Master EMA line.
Show EMA of FM EMA: This option enables or disables the display of the EMA of the Fund Master EMA line.
Look Back Period 2: This option sets the lookback period for the EMA of the Fund Master EMA calculation.
Alerts: Fund Master Crossover & Crossunder EMA Line or 0 (GR5):
Show FM Crossover 0: This option enables or disables the display of the alert for FM crossover above the 0 line.
Show FM Crossunder 0: This option enables or disables the display of the alert for FM crossover below the 0 line.
Show FM Crossover EMA: This option enables or disables the display of the alert for FM crossover above the EMA line.
Show FM Crossunder EMA: This option enables or disables the display of the alert for FM crossover below the EMA line.
Bottom and Top Deviation (GR6):
Show Bottom Deviation: This option enables or disables the display of the bottom deviation line.
Show Top Deviation: This option enables or disables the display of the top deviation line.
Turn Green, Turn Red Alert (GR7):
Show Turn Green/Red Alerts: This option enables or disables the display of alerts for when the Fund Master value changes direction.
Current & Turn Green/Red Alerts: This option sets the number of bars to look back for the turn green/red alerts.
Band and User Input Setting (GR8):
100: This option enables or disables the display of the 100 band.
0: This option enables or disables the display of the 0 band.
-100: This option enables or disables the display of the -100 band.
User Input: This option enables or disables the display of a custom band based on user input.
Value: This option sets the value for the custom band.
Disclaimer
Attached chart is for the purpose of illustrating the use of indicator, no recommendation of buy/sell.
In this chart, all features in the setting are turned on (default and non default).
This chart is used to demonstrate the FM trend movement from mid-term bear to mid-term bull,
short-term bear and bull, bottom deviation and top deviation.
Hope this help. Merry Christmas and Happy New Year.
Filtered ATR with EMA OverlayFiltered ATR with EMA Overlay is an advanced volatility indicator designed to provide a more accurate representation of market conditions by smoothing the standard Average True Range (ATR). This is achieved by filtering out extreme price movements and abnormal bars that can distort traditional ATR calculations.
The indicator applies an Exponential Moving Average (EMA) to the filtered ATR, creating a dual-layered system that highlights periods of increased or decreased volatility.
Key Features:
Filtered ATR: Filters out extreme bars, reducing noise and making the ATR line more reliable.
EMA Overlay: An EMA (default period of 10) is applied to the filtered ATR, allowing traders to track average volatility trends.
Volatility Signals:
Filtered ATR > EMA(10): Indicates higher-than-average volatility. This often correlates with trend breakouts or strong price movements.
Filtered ATR < EMA(10): Suggests reduced volatility, signaling potential consolidation or sideways price action.
Parameters:
atrLength (Default: 5):
The number of bars used to calculate the ATR. A shorter period (e.g., 3-5) responds faster to price changes, while a longer period (e.g., 10-14) provides smoother results.
multiplier (Default: 1.8):
Controls the sensitivity of the filter. A lower multiplier (e.g., 1.5) filters out more bars, resulting in smoother ATR. Higher values (e.g., 2.0) allow more bars to pass through, retaining more price volatility.
maxIterations (Default: 20):
The maximum number of bars processed to detect abnormal values. Increasing this may improve accuracy at the cost of performance.
ema10Period (Default: 10):
The period for the Exponential Moving Average applied to the filtered ATR. Shorter periods provide faster signals, while longer periods give smoother, lagging signals.
Trading Strategies:
1. Breakout Strategy:
When filtered ATR crosses above EMA(10):
Enter long positions when price breaks above a key resistance level.
Higher volatility suggests strong price action and momentum.
When filtered ATR drops below EMA(10):
Exit positions or tighten stop-loss orders as volatility decreases.
Lower volatility may indicate consolidation or trend exhaustion.
2. Trend Following Strategy:
Use the filtered ATR line to track overall volatility.
If filtered ATR consistently stays above EMA: Hold positions or add to trades.
If filtered ATR remains below EMA: Reduce position size or stay out of trades.
3. Mean Reversion Strategy:
When filtered ATR spikes significantly above EMA, it may indicate market overreaction.
Look for price to revert to the mean once ATR returns below the EMA.
4. Stop-Loss Adjustment:
As volatility increases (ATR above EMA), widen stop-loss levels to avoid being stopped out by random fluctuations.
In low volatility (ATR below EMA), tighten stop-losses to minimize losses during low activity periods.
Benefits:
Reduced Noise: By filtering abnormal bars, the indicator provides cleaner signals.
Better Trend Detection: EMA smoothing highlights volatility trends.
Adaptable: The indicator can be customized for scalping, day trading, or swing trading.
Intuitive Visualization: Traders can visually see volatility shifts and adjust strategies in real-time.
Best Practices:
Timeframes: Works effectively on all timeframes, but higher timeframes (e.g., 1H, 4H, Daily) yield more reliable signals.
Markets: Suitable for forex, crypto, stocks, and commodities.
Combining Indicators: Use in combination with RSI, Moving Averages, Bollinger Bands, or price action analysis for stronger signals.
How It Works (Under the Hood):
The script calculates the Daily Range (High - Low) for each bar.
The largest and smallest bars are filtered out if their difference exceeds the multiplier (default 1.8).
The remaining bars are averaged to generate the filtered ATR.
An EMA(10) is then applied to the filtered ATR for smoother visualization.
McClellan A-D Volume Integration ModelThe strategy integrates the McClellan A-D Oscillator with an adjustment based on the Advance/Decline (A-D) volume data. The McClellan Oscillator is calculated by taking the difference between the short-term and long-term exponential moving averages (EMAs) of the A-D line. This strategy introduces an enhancement where the A-D volume (the difference between the advancing and declining volume) is factored in to adjust the oscillator value.
Inputs:
• ema_short_length: The length for the short-term EMA of the A-D line.
• ema_long_length: The length for the long-term EMA of the A-D line.
• osc_threshold_long: The threshold below which the oscillator must drop for an entry signal to trigger.
• exit_periods: The number of periods after which the position is closed.
• Data Sources:
• ad_advance and ad_decline are the data sources for advancing and declining issues, respectively.
• vol_advance and vol_decline are the volume data for the advancing and declining issues. If volume data is unavailable, it defaults to na (Not Available), and the fallback logic ensures that the strategy continues to function.
McClellan Oscillator with Volume Adjustment:
• The A-D line is calculated by subtracting the declining issues from the advancing issues. Then, the volume difference is applied to this line, creating a “weighted” A-D line.
• The short and long EMAs are calculated for the weighted A-D line to generate the McClellan Oscillator.
Entry Condition:
• The strategy looks for a reversal signal, where the oscillator falls below the threshold and then rises above it again. The condition is designed to trigger a long position when this reversal happens.
Exit Condition:
• The position is closed after a set number of periods (exit_periods) have passed since the entry.
Plotting:
• The McClellan Oscillator and the threshold are plotted on the chart for visual reference.
• Entry and exit signals are highlighted with background colors to make the signals more visible.
Scientific Background:
The McClellan A-D Oscillator is a popular market breadth indicator developed by Sherman and Marian McClellan. It is used to gauge the underlying strength of a market by analyzing the difference between the number of advancing and declining stocks. The oscillator is typically calculated using exponential moving averages (EMAs) of the A-D line, with the idea being that crossovers of these EMAs indicate potential changes in the market’s direction.
The integration of A-D volume into this model adds another layer of analysis, as volume is often considered a leading indicator of price movement. By factoring in volume, the strategy becomes more sensitive to not just the number of advancing or declining stocks but also how significant those movements are based on trading volume, as discussed in Schwager, J. D. (1999). Technical Analysis of the Financial Markets. This enhanced version aims to capture stronger and more sustainable trends in the market, helping to filter out false signals.
Additionally, volume analysis is often used to confirm price movements, as described in Wyckoff, R. (1931). The Day Trading System. Therefore, incorporating the volume of advancing and declining stocks in the McClellan Oscillator offers a more robust signal for trading decisions.
