Dynamic Deviation Levels [BigBeluga]Dynamic Deviation Levels is an innovative indicator designed to analyze price deviations relative to a smoothed midline. It provides traders with visual cues for overbought/oversold zones, price momentum, levels through labeled deviations and gradient candle coloring.
🔵Key Features:
Smoothed Midline:
A central line calculated as a smoothed median of the price source, serving as the baseline for price deviation analysis.
Dynamic Deviation Levels:
- Three deviation levels are plotted above and below the midline, with labels (1, 2, 3, -1, -2, -3) marking significant price movements.
- Helps traders identify overbought and oversold market conditions.
Heat-Colored Candles:
- Candle colors shift in intensity based on the deviation level, with four gradient shades for both upward and downward movements.
- Quickly highlights market extremes or stable zones.
Interactive Color Scale:
- A gradient scale at the bottom right of the chart visually represents deviation values.
- A triangle marker indicates the current price deviation in real time.
Optional Deviation Levels Display:
- Traders can enable all dynamic levels on the chart to visualize support and resistance areas dynamically.
🔵Usage and Benefits:
Identify Overbought/Oversold Zones: Use labeled deviation levels and heat-colored candles to spot stretched market conditions.
Track Trend Reversals and Momentum: Monitor price interactions with deviation levels for potential trend continuation or reversal signals.
Real-Time Deviation Insights: Leverage the color scale and triangle marker for live deviation tracking and actionable insights.
Map Dynamic Support and Resistance: Enable dynamic levels to highlight key areas where price reactions are likely to occur.
Dynamic Deviation Levels is an indispensable tool for traders aiming to combine price dynamics, momentum analysis, and visual clarity in their trading strategies.
Moving Averages
Market Trend Scanner [Afnan]This Market Strength Scanner indicator is designed to provide traders with a clear and concise overview of market trends using a single table. It helps you quickly determine which sectors and indices are strong, weak, or choppy, allowing you to make informed trading decisions with ease.
How This Indicator Helps You:
✅ Identify Strong Sectors & Indices
🔹By analyzing this table, you can instantly see which sectors and indices are performing well.
🔹Focus on stocks within strong sectors to find high-probability buying opportunities.
✅ Avoid Weak or Choppy Markets
🔹The indicator highlights bearish or consolidating sectors, helping you avoid poor trading conditions.
🔹Stay away from sectors that are weak or moving sideways to reduce unnecessary risks.
✅ Understand Market Sentiment in Seconds
🔹If most sectors are bullish, the market is in an uptrend—giving you confidence to take long positions.
🔹If the majority are bearish, the market is weak, signaling caution.
🔹A mix of bullish and bearish sectors indicates a choppy market, warning you to avoid trading or adjust your strategy.
✅ Powered by 4 Customizable EMAs
🔹The indicator uses 4 Exponential Moving Averages (EMAs) to determine trends for each sector and index.
🔹These EMAs are fully modifiable, allowing you to adjust them based on your preferred strategy.
✅ Covers 25 Major Indices (Fully Customizable)
🔹By default, the indicator tracks 25 key indices, giving you a broad market perspective.
🔹You can customize the list to focus on the indices that matter most to you.
Why Use This Indicator?
🔹 Saves Time – No need to analyze multiple charts manually. The table gives you everything at a glance.
🔹 Improves Trade Selection – Focus only on strong sectors for better trade accuracy.
🔹 Works in All Market Conditions – Whether the market is trending or consolidating, this tool keeps you informed.
🔹 Fully Customizable – Adjust the EMAs and indices according to your trading preferences.
With just this one powerful indicator, you get a complete market overview, helping you align your trades with the current trend effortlessly! 🚀
Dynamic Median EMA | QuantEdgeBIntroducing Dynamic Median EMA by QuantEdgeB
Dynamic Median EMA | QuantEdgeB is an adaptive moving average indicator that blends median filtering, a volatility-based dynamic EMA, and customizable filtering techniques to create a responsive yet stable trend detection system. By incorporating Standard Deviation (SD) or ATR bands, this indicator dynamically adjusts to market conditions, making it a powerful tool for both traders and investors.
Key Features:
1. Dynamic EMA with Efficiency Ratio 🟣
- Adjusts smoothing based on market conditions, ensuring optimal responsiveness to price changes.
- Uses an efficiency ratio to dynamically modify the smoothing factor, making it highly adaptive.
2. Median-Based vs. Traditional EMA Source 📊
- Users can choose between a Median-based smoothing method (default: ✅ enabled ) or a traditional price source.
- The median filter provides better noise reduction in choppy markets.
3. Volatility-Based Filtering with Custom Bands 🎯
- Two filtering methods:
a. Standard Deviation (SD) Bands 📏 (default ✅) – Expands and contracts based on
historical deviation.
b. ATR Bands 📈 – Uses Average True Range (ATR) to adjust dynamic thresholds.
- The user can toggle between SD and ATR filtering, depending on market behavior.
4. Customizable Signal Generation ✅❌
- Long Signal: Triggered when the price closes above the selected upper filter band .
- Short Signal: Triggered when the price closes below the lower filter band .
- Dynamically adjusts based on the filtering method (SD or ATR).
5. Enhanced Visuals & Customization🎨
- Multiple color modes available (Default, Solar, Warm, Cool, Classic, X).
- Gradient filter bands provide a clearer view of volatility expansion/contraction.
- Candlestick coloring for instant visual confirmation of bullish/bearish conditions.
________
How It Works:
- Source Selection : Users can choose to use the median of price action or a traditional price feed as the base input for the Dynamic EMA.
- Dynamic EMA Calculation : The indicator applies a volatility-adjusted smoothing algorithm based on the efficiency ratio, ensuring that price trends are detected quickly in volatile markets and smoothly in stable ones.
- Filtering Mechanism : 🎯 Use can chose between two filtering options. Standard deviation to dynamically adjust based on market deviations or ATR Bands to determine trend strength through volatility expansions
- Signal Generation :
1. Bullish (🔵) is triggered when price crosses above the upper band.
2. Bearish (🔴) is generated when price drops below the lower band.
- The filtering method (SD/ATR) determines how the bands expand/contract, allowing for better trade adaptability.
________
Use Cases:
✅ For Trend Trading & Breakouts:
- Use SD bands (default setting) to capture trend breakouts and avoid premature entries.
- SD bands expand during high volatility, helping confirm strong breakouts, and contract during low volatility, helping confirm earlier trend exit.
- Consider increasing Dynamic EMA length (default 8) for longer-term trend detection.
✅ For Smoother Trend Filtering:
- Enable ATR bands for a more stable and gradual trend filter.
- ATR bands help reduce noise in choppy conditions while maintaining responsiveness to volatility.
- This setting is useful for traders looking to ride trends with fewer false exits.
✅ For Volatility Awareness:
- Watch the expansion and contraction of the filter bands:
- Wide SD bands = High volatility, breakout potential.
- Tight SD bands = Consolidation, potential trend exhaustion.
- ATR bands provide steadier adjustments, making them ideal for traders who prefer
smoother trend confirmation.
________
Customization Options:
- Source Selection 🟢 (Default: Median filtering enabled ✅)
- Dynamic EMA Length ⏳ (Default: 8 )
- Filtering Method🎯 (SD Bands ✅ by default, toggle ATR if needed)
- Standard Deviation Length 📏 (Default: 30 )
- ATR Length 📈 (Default: 14, ATR multiplier 1.3)
- SD Bands Weights:📌
- Default settings (Upper = 1.035, Lower = 1.02) are optimized for daily charts.
- For lower timeframes (e.g., hourly charts), consider using lighter weights such as Upper =
1.024 / Lower = 1.008 to better capture price movements.
- The optimal SD Band weights depend on the asset's volatility, so adjust accordingly to align
with market conditions.
- Multiple Color Themes 🎨 (Default, Solar, Warm, Cool, Classic, X)
________
Conclusion
The Dynamic Median EMA | QuantEdgeB is a powerful trend-following & filtering indicator designed to adapt dynamically to market conditions. By combining a volatility-responsive EMA, custom filter bands, and signal-based candlestick coloring, this tool provides clear and reliable trade signals across different market environments. 🚀📈
🔹 Disclaimer: Past performance is not indicative of future results. No trading indicator can guarantee success in financial markets.
🔹 Strategic Consideration: As always, backtesting and strategic adjustments are essential to fully optimize this indicator for real-world trading. Traders should consider risk management practices and adapt settings to their specific market conditions and trading style.
Dynamic MA Divergence System (DMDS) **Indicator Name:** Dynamic MA Divergence System (DMDS)
**Description:**
The Dynamic MA Divergence System (DMDS) is a multi-functional technical analysis tool designed to identify trend strength, momentum shifts, and potential reversal signals. By combining moving average differentials with adaptive volatility thresholds, this indicator provides a clear visual representation of market dynamics across any timeframe.
**Key Features:**
1. **Dual MA Differential**
- Tracks the difference between two customizable moving averages (SMA/EMA)
- Visualized as a colored oscillator for quick trend bias identification
2. **Smart Divergence Detection**
- Automatically marks price-indicator divergences with intuitive arrows
- Filters minor fluctuations via adjustable amplitude thresholds
**Usage Suggestions:**
- **Trend Confirmation**: Use the oscillator’s position relative to the zero line
- **Reversal Signals**: Watch for divergence patterns with price action
- **Volatility Scaling**: Adjust channel multiplier for ranging/trending markets
**Parameters:**
- MA Periods (6/60default)
- Volatility Period (20 bars)
- Divergence Detection Length (50 bars)
**Community Guidelines Compliance:**
- No repainting
- No future-looking calculations
- Fully customizable inputs
- Clear risk disclaimer in code comments
*Note: This tool is designed for educational/research purposes. Always combine with other analysis methods and proper risk management.*
---
This description adheres to TradingView’s standards by:
1. Avoiding profit guarantees
2. Using neutral, non-promotional language
3. Clearly explaining functionality
4. Including proper categorization (Oscillator type)
5. Providing transparent parameter explanations
Multiple MAs with Compact Labels Defines and plots multiple moving averages (MAs) on a TradingView chart, including two Exponential Moving Averages (EMAs) with periods of 9 and 21, and five Simple Moving Averages (SMAs) with periods of 10, 20, 50, 100, and 200. Each MA is plotted with a distinct color and labeled accordingly.
MACD + ATR Dynamic Stop-Loss StrategyThis strategy combines momentum (MACD), trend confirmation (EMA), and volatility-based risk management (ATR) for a robust trading approach.
Enhanced Scalping Strategy with Stop Loss📌 Overview
The Enhanced Scalping Strategy with Stop Loss is a trend-following and momentum-based trading system designed for scalpers and short-term traders. It leverages Exponential Moving Averages (EMAs), Relative Strength Index (RSI), and Average True Range (ATR) to identify potential trading opportunities while implementing a stop-loss mechanism to minimize risk.
This script is designed to be used in various timeframes, with optimizations for 1-minute and 5-minute charts. The strategy focuses on momentum breakouts, ensuring that trades are taken in strong trending conditions while filtering out false signals using volatility-based confirmation.
🔍 How It Works
This strategy uses three main indicators to generate trade signals:
1️⃣ Moving Averages (Fast & Slow EMAs)
Fast EMA (default: 9-period)
Slow EMA (default: 21-period)
A bullish crossover (Fast EMA crossing above Slow EMA) signals a potential long trade.
A bearish crossover (Fast EMA crossing below Slow EMA) signals a potential short trade.
2️⃣ Relative Strength Index (RSI)
The RSI is used as an overbought/oversold filter.
Default settings:
Overbought Level: 70 → Avoid long trades when RSI is too high.
Oversold Level: 30 → Avoid short trades when RSI is too low.
3️⃣ Average True Range (ATR) Multiplier
ATR is used to filter out low-volatility conditions.
The script ensures that price exceeds a threshold based on ATR before confirming a trade, reducing false breakouts.
4️⃣ Stop Loss Mechanism
Stop loss is dynamically calculated based on a percentage of the entry price (default: 1%).
Long Trade Stop Loss: Set 1% below entry price.
Short Trade Stop Loss: Set 1% above entry price.
The strategy will automatically exit trades if the stop loss is hit.
🎯 Entry & Exit Conditions
🔵 Long Entry (Buy Signal)
Fast EMA crosses above Slow EMA (Bullish crossover).
RSI is below overbought (70) → Avoid buying into extreme conditions.
Price is above Fast EMA + ATR Multiplier → Ensures a strong trend.
Stops any active short trade before entering long.
🔴 Short Entry (Sell Signal)
Fast EMA crosses below Slow EMA (Bearish crossover).
RSI is above oversold (30) → Avoid shorting into extreme weakness.
Price is below Fast EMA - ATR Multiplier → Ensures a strong trend.
Stops any active long trade before entering short.
🔄 Exit Conditions
Long Trade Exit:
Fast EMA crosses below Slow EMA (Bearish crossover).
OR Stop loss is hit (price drops 1% below entry).
Short Trade Exit:
Fast EMA crosses above Slow EMA (Bullish crossover).
OR Stop loss is hit (price rises 1% above entry).
🛠 How to Use
1️⃣ Adding the Strategy
Open TradingView.
Navigate to the Pine Script Editor.
Copy and paste the script.
Click Add to Chart.
2️⃣ Customizing Settings
Adjust the Moving Average lengths to suit different timeframes.
Modify the RSI overbought/oversold levels for better filtering.
Change the ATR Multiplier to fine-tune the volatility filter.
Customize the Stop Loss Percentage to match your risk tolerance.
3️⃣ Best Timeframes for Scalping
1-Minute (M1): Fast scalping, more signals.
5-Minute (M5): Reduced noise, better trend identification.
15-Minute (M15) and higher: Can be used for intraday trading.
4️⃣ Alerts & Notifications
Set up alerts to receive buy/sell signals.
Alerts include:
Long Entry Alert (Buy Signal)
Short Entry Alert (Sell Signal)
Exit Long Alert (Close Buy Position)
Exit Short Alert (Close Sell Position)
📊 Visuals on the Chart
✅ Buy Signals: Displayed as green upward arrows.
✅ Sell Signals: Displayed as red downward arrows.
✅ EMA Lines:
Fast EMA (blue)
Slow EMA (orange)
✅ RSI Background Coloring:
Red background when RSI is overbought.
Green background when RSI is oversold.
🔎 Pros & Cons
✅ Pros
✔️ Works on multiple timeframes with automatic adjustments.
✔️ Uses ATR to confirm trends, reducing false signals.
✔️ Built-in stop loss for better risk management.
✔️ Alerts & visual signals for easy trade execution.
✔️ Can be customized for different trading styles.
❌ Cons
❌ May perform poorly in ranging markets.
❌ Stop-loss percentage may need optimization for different assets.
❌ Higher timeframes might require different parameters for best performance.
Crypto MA + ATR Super AdaptativeThe Crypto MA + ATR Super Adaptative Indicator is designed to help traders identify trend levels and potential support/resistance zones using a dynamic measure of volatility. It calculates a central "Mid Line" (a moving average of the closing prices) and then plots multiple bands (or levels) above and below this line. These bands are spaced using a dynamic Average True Range (ATR) that is adjusted based on recent volatility via a Relative Volatility Factor (RVF).
Key Features
Dynamic ATR Calculation:
Uses a Relative Volatility Factor (RVF) to adjust the short-term ATR based on the dispersion of recent ATR values relative to a longer-term ATR reference. This ensures that the bands widen during periods of high volatility and narrow during periods of low volatility.
Mid Line (Central Moving Average):
A customizable moving average (with options such as SMA, EMA, WMA, RMA, HMA, ALMA) calculated from closing prices, which serves as the central reference for the bands.
Multiple Trend Levels:
Seven levels (both above and below the Mid Line) are plotted. Each level is computed as a multiple (1x through 7x) of the dynamic ATR added to or subtracted from the Mid Line.
Customizable Inputs:
Users can easily adjust the lookback periods for both the Mid Line and ATR calculations, choose the type of moving average, set the base multiplier for the bands, and toggle the display of each individual level.
Time Offset Option:
An offset parameter allows shifting the plotted lines forward or backward in time to better align with the user's charting preferences.
How It Works
Mid Line Calculation:
The indicator computes a moving average (the Mid Line) based on the closing prices using a user-selected method (e.g., EMA).
ATR Calculations:
Short-Term ATR (atrShort): Reflects current volatility over a short period (default is 14 bars).
Long-Term ATR (atrLong): Acts as a volatility reference calculated over a longer period (default is 100 bars).
Relative Volatility Factor (RVF):
First, the standard deviation of the short-term ATR over a specified lookback period (default is 14 bars) is calculated.
The RVF is then computed using the formula:
RVF
=
1
+
(
stdev(atrShort, rvfLength)
atrLong
)
RVF=1+(
atrLong
stdev(atrShort, rvfLength)
)
The Dynamic ATR is derived by multiplying the short-term ATR by the RVF:
Dynamic ATR
=
atrShort
×
RVF
Dynamic ATR=atrShort×RVF
Plotting the Trend Levels:
Each level is determined by adding (for upper levels) or subtracting (for lower levels) a multiple of the Dynamic ATR from the Mid Line. For example, Level 1 is:
Level 1
=
Mid Line
±
(
1.0
×
Dynamic ATR
)
Level 1=Mid Line±(1.0×Dynamic ATR)
This calculation is repeated for up to 7 levels.
User Inputs
Mid Line Settings:
Period: Number of bars for the moving average (e.g., 100).
Type: Moving average type (Options: SMA, EMA, WMA, RMA, HMA, ALMA).
ATR Settings:
ATR Short Period (atrShortLength): Default is 14.
(Reflects current market volatility.)
ATR Long Period (atrLongLength): Default is 100.
(Serves as the volatility reference.)
RVF Lookback Period (rvfLength): Default is 14.
(Used to compute the standard deviation of the short-term ATR.)
ATR Method: Moving average type for ATR calculation (Options: SMA, EMA, WMA, RMA, HMA, ALMA).
Band Multiplier:
Base Multiplier (multBase): Sets the scaling factor for the trend levels (default is 1.0).
Display Options:
Toggle Levels 1 to 7: Option to show or hide each trend level.
Bar Offset: Shifts the plotted lines forward or backward by a specified number of bars.
How to Use
Add to Chart:
Copy and paste the Pine Script code into TradingView’s Pine Editor and add the script to your chart.
Configure Settings:
Adjust the input parameters (such as moving average periods, ATR settings, and band multiplier) to suit your trading style and the instrument being analyzed.
Interpret the Levels:
The Mid Line acts as the central trend indicator.
The plotted bands represent dynamic support and resistance levels that adjust based on recent volatility.
Wider bands indicate higher volatility; narrower bands suggest lower volatility.
Apply in Trading:
Use these dynamic trend levels to help identify potential entry and exit points, confirm trends, or set stop-loss levels. Always combine the indicator with other technical analysis tools and sound risk management practices.
Disclaimer
This indicator is provided for educational purposes only. It is not financial advice, and its performance is not guaranteed. Trading involves substantial risk, and you should use this indicator in conjunction with other forms of analysis and risk management techniques.
Ultrajante MA Reaction StrategyRecomiendo la siguiente configuración para el indicador:
Tipo de EMA = TEMA
Periodo A = 20
Periodo B= 30
Metodo Compuesto= Ponderada
Reacción %= -0.26
Si tienen éxito me comentan.
Open Close Cross Strategy v6 by MenahemОткрывает позицию, закрывает её и сразу открывает позицию в обратную сторону.
EMA 20-50-200 & Hammer Pattern Detector/*
**English**
### Indicator Description
**Indicator Name:**
EMA 20, 50, 200 & Hammer Pattern with Signal Detection
## Features:
// 1. EMA Trend Phase Analysis
// - The indicator uses EMAs (20, 50, and 200) to determine market trends.
// - Green: "3Phases" (Bullish trend), Red: "6Phases" (Bearish trend), Gray: "Neutral".
// - EMAs are displayed in Blue (20), Orange (50), and Red (200).
// - Labels above the last candle show the respective EMA values.
// 2. Hammer Candlestick Pattern Detection
// - Identifies Hammer candlestick patterns as potential reversal signals.
// - Criteria: Upper shadow not larger than the body, lower shadow at least twice the body size.
// - Marked with a green triangle below the candle.
// 3. Signal for Three Candles Below a Local High
// - Detects when three consecutive candles close below a previous high.
// - Marked with a red diamond above the third confirming candle.
// 4. Visual Indicators (Boxes in the Top Right)
// - Displays two information boxes:
// - First Box: Trend phases (Green: "3Phases", Red: "6Phases", Gray: "Neutral").
// - Second Box (Blue): Appears when the weakness signal is active ("Signal Active").
// - Text color is always white for better readability.
## Usage:
// - Easily identify market trends using EMAs.
// - Detect potential reversal points through Hammer candlesticks.
// - Analyze weakness signals after a market high.
// - Clear visualization for quick decision-making.
**German**
### Beschreibung des Indikators
**Indikatorname:**
EMA 20, 50, 200 & Hammer Pattern mit Signal-Erkennung
## Funktionen:
// 1. EMA-Trendphasenanalyse
// - Der Indikator nutzt die EMAs (20, 50 und 200), um Markttrends zu erkennen.
// - Grün: "3Phasen" (Bullischer Trend), Rot: "6Phasen" (Bärischer Trend), Grau: "Neutral".
// - EMAs werden in Blau (20), Orange (50) und Rot (200) dargestellt.
// - Labels über der letzten Kerze zeigen die EMA-Werte an.
// 2. Hammer-Kerzenmuster-Erkennung
// - Identifiziert Hammer-Kerzenmuster als potenzielle Umkehrsignale.
// - Kriterien: Oberer Schatten nicht größer als der Körper, unterer Schatten mindestens doppelt so groß wie der Körper.
// - Markierung mit grünem Dreieck unter der Kerze.
// 3. Signal für drei Kerzen unter einem lokalen Hoch
// - Erkennt, wenn nach einem Hoch drei aufeinanderfolgende Kerzen unterhalb dieses Hochs schließen.
// - Markierung mit einem roten Diamanten über der dritten Kerze.
// 4. Visuelle Anzeigen (Kästen oben rechts)
// - Zeigt zwei Informationskästen an:
// - Erster Kasten: Trendphasen (Grün: "3Phasen", Rot: "6Phasen", Grau: "Neutral").
// - Zweiter Kasten (Blau): Erscheint, wenn das Schwäche-Signal aktiv ist ("Signal Active").
// - Schriftfarbe immer weiß für bessere Sichtbarkeit.
## Anwendungsmöglichkeiten:
// - Markttrends einfach identifizieren durch EMAs.
// - Potenzielle Umkehrpunkte erkennen durch Hammer-Kerzen.
// - Schwäche-Signale nach einem Hoch analysieren.
// - Klare Visualisierung für schnelles Trading.
*/
Pivot Point+ Supertrend + EMA + Support/Resistance- LAXMANTAK98
Pivot Point Supertrend with EMA and Support/Resistance Indicator
This custom trading indicator combines the following key components to assist in market analysis and trade decision-making:
Pivot Points:
Pivot points are calculated based on a chosen price source (High, Low, Open, or Close). These levels are used to determine potential support and resistance zones.
Pivot Highs (Resistance) and Pivot Lows (Support) are plotted as labels on the chart for easy identification.
Supertrend Indicator:
The Supertrend is a trend-following indicator that helps to identify bullish or bearish trends.
It uses the Average True Range (ATR) to calculate dynamic support/resistance levels, with adjustable settings for ATR length and multiplier factor.
The trend direction is visually represented by green (bullish) and red (bearish) lines on the chart.
Exponential Moving Averages (EMA):
The indicator plots up to four EMAs with user-defined periods (e.g., 9, 21, 50, 200).
EMAs are commonly used to smooth out price data and identify trends over various timeframes.
Support and Resistance Levels:
Based on Pivot Points, support and resistance levels are plotted using crosses on the chart.
These levels indicate possible price reversal points, helping traders spot key zones for entry and exit.
Visual Alerts:
The indicator includes built-in alerts for trend changes and potential buy/sell signals based on the transition between uptrend and downtrend states.
This combined indicator allows traders to analyze trends, identify key levels for trading, and make more informed decisions by integrating Pivot Points, Supertrend, EMAs, and Support/Resistance in one cohesive system.
Moving Average Hamming-RKMoving Average Hamming
Description:
A Moving Average using a Hamming window is a technique used in technical analysis to smooth price data. The Hamming window applies weighted smoothing, reducing sharp variations and edge effects in the data. This helps in identifying trends more effectively while minimizing noise.
It can be used in combination with other technical indicators for better market analysis.
Technical Use:
The Hamming Moving Average reduces high-frequency noise, making trends clearer.
It applies different weights to data points, giving more importance to the center of the window while reducing the impact of abrupt changes.
This method is particularly useful in trend-following strategies as it minimizes false breakouts.
It can also be integrated into algorithmic trading systems for improved price fluctuation filtering.
When to Take a Position:
Buy Signal: When the price crosses above the Hamming Moving Average, indicating a potential uptrend.
Sell Signal: When the price crosses below the Hamming Moving Average, signaling a possible downtrend.
Confirmation: Combine with other indicators like RSI or MACD to confirm the trend before entering a trade.
Avoid Choppy Markets: The indicator works best in trending markets; avoid using it in sideways or ranging conditions.
This approach helps traders refine their analysis, making informed decisions while reducing market noise.
EMA Cross Strategy with TP, SL, Fibonacci Levels, and TrendNew Additions:
EMA Crossover
Buy when EMA 9 crosses above EMA 21
Sell when EMA 9 crosses below EMA 21
Organized Labels
Fibonacci levels
Trend status (Uptrending/Downtrending)
Buy/Sell signals
Take Profit (TP) and Stop Loss (SL)
smolka Bayesian Volatile ChannelDescription in English and Russian.
Bayesian Volatile Channel
The script is a loose interpretation of Bayes' theorem, which allows calculating the probability of events given that another event related to it has occurred, the script analyzes volatility and detects anomalies in price charts using a Bayesian approach, updating the model parameters to accurately estimate market fluctuations and detect changes in trends.
How does it work?
1. The script sets the initial parameters (mean price and standard deviation), creating a "hypothesis" about the market behavior.
2. When a new price appears, the script calculates the probability of its compliance with previous expectations. If the new price differs from the forecast, the model parameters (mean and standard deviation) are updated.
3. After updating the model, the probability that the current price and volatility correspond to a normal distribution is calculated.
4. Based on the updated model, volatility channels are built (mean price ± two standard deviations). If the price goes beyond these limits, this signals a possible anomaly indicating changes in the market.
5. The moving averages in the script act as data smoothing and trend analysis, helping to identify the market direction and minimize the impact of random fluctuations. The script uses moving averages to identify uptrends and downtrends, and calculates the average between them to display the overall market balance. These moving averages make market analysis clearer and more resistant to short-term fluctuations.
******************************************************************
Описание на английском и русском языках.
Байесовский волатильный канал
Скрипт является вольной интерпретацией теоремы Байеса, которая позволяет расчитать вероятность событий при условии, что произошло связанное с ним другое событие, скрипт анализирует волатильность и обнаруживает аномалии в графиках цен, используя байесовский подход, обновляя параметры модели для точной оценки рыночных колебаний и обнаружения изменений в тенденциях.
Как это работает?
1. Скрипт устанавливает начальные параметры (среднюю цену и стандартное отклонение), создавая "гипотезу" о поведении рынка.
2. При появлении новой цены скрипт вычисляет вероятность её соответствия предыдущим ожиданиям. Если новая цена отличается от прогноза, параметры модели (среднее и стандартное отклонение) обновляются.
3. После обновления модели рассчитывается вероятность того, что текущая цена и волатильность соответствуют нормальному распределению.
4. На основе обновлённой модели строятся каналы волатильности (средняя цена ± два стандартных отклонения). Если цена выходит за эти пределы, это сигнализирует о возможной аномалии, указывающей на изменения на рынке.
5. Средние скользящие в скрипте выполняют роль сглаживания данных и анализа трендов, помогая выявить направление рынка и минимизировать влияние случайных колебаний. Скрипт использует скользящие средние для определения восходящего и нисходящего трендов, а также рассчитывает среднее значение между ними для отображения общего баланса рынка. Эти скользящие средние делают анализ рынка более чётким и устойчивым к краткосрочным флуктуациям.
Daily MACD Crossover Buy Sell IndicatorGives Buy/Sell indicator looking at MACD crossover on the 1D chart only. Good for swing trading.
Advanced EMA + MACD + RSI Strategy with Support/ResistanceEMA Kriterleri:
Bu stratejide, 5 EMA'nın 14 EMA'nın üstünde, 14 EMA'nın 34 EMA'nın üstünde ve 34 EMA'nın 55 EMA'nın üstünde olması gerektiğini kontrol ediyoruz. Fiyatın da 34 EMA'nın üzerinde olmasını istiyoruz.
MACD ve RSI:
MACD çizgisi sıfırın üstünde olmalı, yani pozitif bir momentum sinyali vermeli.
RSI ise 50'nin üzerinde olmalı, bu da piyasanın genel olarak alım bölgesinde olduğunu gösteriyor.
Hacim:
Fiyatın 34 EMA'yı hacimli bir şekilde geçmesi gerektiği için hacim ortalamalarının belirli bir katına (örneğin, 1.5 katı) bakıyoruz.
Destek ve Direnç Seviyeleri:
Son 20 mumun en yüksek ve en düşük değerlerine bakarak destek ve direnç seviyelerini hesaplıyoruz.
Alım ve Satım Koşulları:
Yukarıda belirttiğimiz tüm koşullar sağlandığında alım veya satım sinyali veriyoruz.
Grafikte Göstergeler:
Tüm EMA'ları, RSI 50 seviyesini, destek ve direnç seviyelerini grafikte çiziyoruz.
Bu strateji, belirli teknik analiz araçlarını kullanarak, uygun alım ve satım fırsatlarını bulmak amacıyla tasarlanmıştır. Eğer farklı bir koşul veya göstergenin eklenmesini isterseniz, ona göre stratejiyi özelleştirebiliriz.
Dynamic Trendline (NEW)This indicator marks the last high and lows, easier for verification of trend.
btc daily major lows test- rsi crossover 27
- ema 100 > ema 377
- btc daily timeframe
every yellow bar are representing major btc lows in an uptrend or ranging market, leading to big opportunities (longs)
the low of the candle under the yellow vertical line is also representing the support level of the range.
if that support breaks, new bear market may begin or actual bear market may continue.
made by phil
Break & Retest with EMAs (Balanced Signals) This script was created using ChatGPT 4. I created it for trading Futures. It uses the Triple EMA's with the Green set at 9 days, the Orange set at 20 days and the Red set for 50 days. It takes into account the Previous Day H&L, the Previous 4 Hour H&L and the Five minute Opening H&L.
I use it for the S&P 500, the NQ and GC Futures but it should work with all of them. If you have any issues with it, please feel free to reach out.
Enjoy!
Multi-SMA Strategy - Core SignalsTick-Precise Cross Detection:
Uses bar's high/low for real-time cross detection
Compares current price action with previous bar's position
Works across all timezones and trading sessions
Three-Layer Trend Filter:
Requires 50 > 100 > 200 SMA for uptrends
Requires 50 < 100 < 200 SMA for downtrends
Adds inherent market structure confirmation
Responsive Exit System:
Closes longs when price breaks below 20 SMA
Closes shorts when price breaks above 20 SMA
Uses same tick-precise logic as entries
Universal Time Application:
No fixed time references
Pure price-based calculations
Works on any chart timeframe (1m - monthly)
Signal Logic Summary:
+ Long Entry: Tick cross above 50 SMA + Uptrend hierarchy
- Long Exit: Price closes below 20 SMA
+ Short Entry: Tick cross below 50 SMA + Downtrend hierarchy
- Short Exit: Price closes above 20 SMA
Komut
//@version=5
strategy("Multi-SMA Strategy - Core Signals", overlay=true)
// ———— Universal Inputs ———— //
int smaPeriod1 = input(20, "Fast SMA")
int smaPeriod2 = input(50, "Medium SMA")
bool useTickCross = input(true, "Use Tick-Precise Crosses")
// ———— Timezone-Neutral Calculations ———— //
sma20 = ta.sma(close, smaPeriod1)
sma50 = ta.sma(close, smaPeriod2)
sma100 = ta.sma(close, 100)
sma200 = ta.sma(close, 200)
// ———— Tick-Precise Cross Detection ———— //
golden_cross = useTickCross ?
(high >= sma50 and low < sma50 ) :
ta.crossover(sma20, sma50)
death_cross = useTickCross ?
(low <= sma50 and high > sma50 ) :
ta.crossunder(sma20, sma50)
// ———— Trend Filter ———— //
uptrend = sma50 > sma100 and sma100 > sma200
downtrend = sma50 < sma100 and sma100 < sma200
// ———— Entry Conditions ———— //
longCondition = golden_cross and uptrend
shortCondition = death_cross and downtrend
// ———— Exit Conditions ———— //
exitLong = ta.crossunder(low, sma20)
exitShort = ta.crossover(high, sma20)
// ———— Strategy Execution ———— //
strategy.entry("Long", strategy.long, when=longCondition)
strategy.entry("Short", strategy.short, when=shortCondition)
strategy.close("Long", when=exitLong)
strategy.close("Short", when=exitShort)
// ———— Clean Visualization ———— //
plot(sma20, "20 SMA", color.new(color.blue, 0))
plot(sma50, "50 SMA", color.new(color.red, 0))
plot(sma100, "100 SMA", color.new(#B000B0, 0), linewidth=2)
plot(sma200, "200 SMA", color.new(color.green, 0), linewidth=2)
// ———— Signal Markers ———— //
plotshape(longCondition, "Long Entry", shape.triangleup, location.belowbar, color.green, 0)
plotshape(shortCondition, "Short Entry", shape.triangledown, location.abovebar, color.red, 0)
plotshape(exitLong, "Long Exit", shape.xcross, location.abovebar, color.blue, 0)
plotshape(exitShort, "Short Exit", shape.xcross, location.belowbar, color.orange, 0)
RV 5 Min Scalping StrategyHow This Script Works
1. Trend Filter Using 5-Minute Data:
The 200‑period EMA is calculated on a 5‑minute timeframe via the request.security() function. Long trades are allowed only if the current close (on the 1‑minute chart) is above this EMA; short trades are allowed only if below it.
2. 1-Minute Entry Conditions:
On the local (1‑minute) chart, a 20‑period EMA is used. A long entry is triggered when the price crosses above the 20‑EMA, while a short entry is triggered when it crosses below.
3. Risk Management:
The risk per trade is set to 0.5% (riskPerc = 0.005) of the entry price. The stop loss is placed 0.5% away from the entry, and the take profit is set at twice that distance (1:2 risk–reward).
4. Debug Visuals:
Small shape markers (green for longs, red for shorts) are plotted on the chart so you can verify when conditions are met.
Next Steps
• Backtesting:
Run this strategy on historical 1‑minute data while ensuring your chart is set to 1‑minute. Confirm that the 5‑minute trend filter (ema200_5) is working correctly.
• Optimization:
You may adjust the EMA lengths, risk percentage, or even the entry conditions (for example, using additional confirmation like volume or other indicators) to further optimize profitability for scalping.
• Real-Time Considerations:
Scalping strategies can be sensitive to execution delays and spread. When forward-testing, consider the fill conditions and the effect of recalculation on every tick.
Multi EMA Indicator by MFHDescription
The Multi EMA (Exponential Moving Average) indicator is a technical analysis tool that plots five different EMAs on your chart simultaneously. This combination of multiple EMAs helps traders identify trends across different time frames and potential support/resistance levels.
Features
Displays 5 customizable EMAs (default periods: 9, 21, 50, 100, 200)
Color-coded lines for easy identification
Clean label display at the end of each EMA line
Fully customizable periods and colors through inputs
Default Settings
EMA 1: 9-period (Red)
EMA 2: 21-period (Blue)
EMA 3: 50-period (Green)
EMA 4: 100-period (Orange)
EMA 5: 200-period (Purple)
Customization
All aspects of the indicator can be customized through the inputs:
EMA periods can be adjusted to any value
Colors can be changed to match your preferred chart setup
Labels automatically update to reflect your chosen periods
