SPY EMA Envelope & Momentum StrategyIndicator Description:
This script combines the EMA Envelope (50) with RSI (14) and MACD (12, 26, 9) to identify optimal buy and sell signals based on price momentum.
Features:
✅ EMA Envelope (50): Defines dynamic support/resistance levels
✅ RSI (14): Identifies overbought/oversold conditions for confirmation
✅ MACD (12, 26, 9): Detects trend momentum shifts
✅ Buy Signals: Triggered when price touches the lower EMA Envelope, RSI is oversold, and MACD shows bullish crossover
✅ Sell Signals: Triggered when price reaches the upper EMA Envelope, RSI is overbought, and MACD shows bearish crossover
✅ Custom Alerts: Get notified when buy or sell conditions are met
Best For:
📈 Intraday & Swing Trading on SPY, stocks, crypto, and forex
趨勢分析
LRLR [TakingProphets]LRLR (Low Resistance Liquidity Run) Indicator
This indicator identifies potential liquidity runs in areas of low resistance, based on ICT (Inner Circle Trader) concepts. It specifically looks for a series of unmitigated swing highs in a downtrend that form without any bearish fair value gaps (FVGs) between them.
What is an LRLR?
- A Low Resistance Liquidity Run occurs when price creates a series of lower highs without any bearish fair value gaps in between
- The absence of bearish FVGs indicates there is no significant resistance in the area
- These formations often become targets for smart money to collect liquidity above the swing highs
How to Use the Indicator:
1. The indicator will draw a diagonal line connecting a series of qualifying swing highs
2. A small "LRLR" label appears to mark the pattern
3. These areas often become targets for future price moves, as they represent zones of accumulated liquidity with minimal resistance
Key Points:
- Minimum of 4 consecutive lower swing highs
- No bearish fair value gaps can exist between these swing highs
- The diagonal line helps visualize the liquidity run formation
- Can be used for trade planning and identifying potential reversal zones
Settings:
- Show Labels: Toggle the "LRLR" label visibility
- LRLR Line Color: Customize the appearance of the diagonal line
Best Practices:
1. Use in conjunction with other ICT concepts and market structure analysis
2. Pay attention to how price reacts when returning to these levels
3. Consider these areas as potential targets for smart money liquidity grabs
4. Most effective when used on higher timeframes (4H and above)
Note: This is an educational tool and should be used as part of a complete trading strategy, not in isolation.
Stock Sector ETF with IndicatorsThe Stock Sector ETF with Indicators is a versatile tool designed to track the performance of sector-specific ETFs relative to the current asset. It automatically identifies the sector of the underlying symbol and displays the corresponding ETF’s price action alongside key technical indicators. This helps traders analyze sector trends and correlations in real time.
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Key Features
Automatic Sector Detection:
Fetches the sector of the current asset (e.g., "Technology" for AAPL).
Maps the sector to a user-defined ETF (default: SPDR sector ETFs) .
Technical Indicators:
Simple Moving Average (SMA): Tracks the ETF’s trend.
Bollinger Bands: Highlights volatility and potential reversals.
Donchian High (52-Week High): Identifies long-term resistance levels.
Customizable Inputs:
Adjust indicator parameters (length, visibility).
Override default ETFs for specific sectors.
Informative Table:
Displays the current sector and ETF symbol in the bottom-right corner.
---
Input Settings
SMA Settings
SMA Length: Period for calculating the Simple Moving Average (default: 200).
Show SMA: Toggle visibility of the SMA line.
Bollinger Bands Settings
BB Length: Period for Bollinger Bands calculation (default: 20).
BB Multiplier: Standard deviation multiplier (default: 2.0).
Show Bollinger Bands: Toggle visibility of the bands.
Donchian High (52-Week High)
Daily High Length: Days used to calculate the high (default: 252, approx. 1 year).
Show High: Toggle visibility of the 52-week high line.
Sector Selections
Customize ETFs for each sector (e.g., replace XLU with another utilities ETF).
---
Example Use Cases
Trend Analysis: Compare a stock’s price action to its sector ETF’s SMA for trend confirmation.
Volatility Signals: Use Bollinger Bands to spot ETF price squeezes or breakouts.
Sector Strength: Monitor if the ETF is approaching its 52-week high to gauge sector momentum.
Enjoy tracking sector trends with ease! 🚀
XAUUSD STRATGEY BUY AND SELL SIGNALSThe XAUUSD buy and sell is designed to enhance trading strategies by pinpointing essential price levels and trends on an ATR and stochastic. It effectively charts the opening prices of moving average and 4-hour candles, visualizes retests, showcases average price lines, and integrates higher timeframe candlesticks. This system is ideal for traders who take advantage of short-term price fluctuations and volume trends.
Understanding the XAUUSD BUY SELL
This indicator marks crucial price levels derived from the opening prices of stochastic and 4-hour candles. It detects retests of these levels, computes average prices, and highlights the high and low points for each hour. Additionally, it incorporates higher-timeframe candlesticks to offer a well-rounded perspective on price movements.
Essential Features:
Stochastic and 4-Hour Opens: Clear indicators for important price levels.
Retest Detection: Emphasizes price retests at hourly open levels.
Average Price Lines: Provides average prices for enhanced trend evaluation.
High and Low Indicators: Identifies hourly high and low points.
How to Utilize the XAUUSD BUY AND SELL
Trend Evaluation: leverage moving average and 4-hour levels to pinpoint potential support and resistance zones, aiding traders in making informed entry and exit decisions.
Retest Approach: Monitor retests at hourly opens to identify possible reversals or continuations of trends.
Liquidity Sweep Approach: Spot key levels where liquidity is expected to gather, such as previous hour highs and lows, to seize rapid price movements.
Equal Highs and Lows Approach: Analyze repeated highs or lows to determine robust support or resistance levels and predict significant price shifts.
Benefits of the XAUUSD BUY and sell
Adjustable Zone Width: Modify the width around the 1-Hour Open to customize the zone.
Retest Indicators: Toggle markers that indicate price retests on or off.
Volume Filter: Emphasize retests accompanied by substantial volume to minimize distractions.
1-Hour Average Line: Present the average price from the last hour for trend assessment.
Hourly High & Low Indicators: Mark the highest and lowest prices within each hour for quick reference.
Conclusion
The XAUUSD buy and sell is an invaluable tool for intraday traders. By providing a detailed and dynamic view of price levels, trends, and retests, it enhances decision-making and helps capture short-term trading opportunities.
Ayhan Oran indicator 1bu indikatörü trading viewdw yayınlıyacağım bana bu indikatör için özet geçermisin
Harsh Trending Buy/SellHarsh Trending Buy Sell by Harshal Bafna
Used for trending Buy Sell Signal in Indian Markets
Dynamic Trendline (NEW)This indicator marks the last high and lows, easier for verification of trend.
ADX Screener with Average and Change PercentageBinance borsasından seçilebilen 20 farklı coin için, ayarlanabilen periyotta adx ortalamasını, güncel adx değerini, güncel adx değerinin ortalama periyottaki adx değerine göre yüzdelik değişimini hesaplar, böylece trende giren coini erken aşamada bulmada kullanılabilir.
Manojgowda Testing oneSample testing strategy developed to share wit friends for the purpose of learning and tweaking it
EMA + MACD + RSI Strategyİstediğiniz strateji ve indikatörler için aşağıda Pine Script kodu örneği sunuyorum. Bu kod, belirttiğiniz 5 EMA, 14 EMA, 34 EMA ve 55 EMA koşullarına göre alım ve satım sinyalleri oluşturur. Ayrıca, MACD sıfır çizgisini kestiğinde alım koşulunu tetikler ve RSI 50'nin üzerinde olması gerektiği şartı da ekler. Stop-loss ve take-profit seviyeleri de belirttiğiniz gibi 34 EMA'ya göre ayarlanır.
İşte Pine Script stratejisi:
```pinescript
//@version=5
indicator("EMA + MACD + RSI Strategy", overlay=true)
// Parametreler
length5 = 5
length14 = 14
length34 = 34
length55 = 55
rsiLength = 14
macdShort = 12
macdLong = 26
macdSignal = 9
// EMA Hesaplamaları
ema5 = ta.ema(close, length5)
ema14 = ta.ema(close, length14)
ema34 = ta.ema(close, length34)
ema55 = ta.ema(close, length55)
// RSI Hesaplaması
rsi = ta.rsi(close, rsiLength)
// MACD Hesaplaması
= ta.macd(close, macdShort, macdLong, macdSignal)
macdZeroCross = ta.crossover(macdLine, 0) or ta.crossunder(macdLine, 0)
// Alış ve Satış Koşulları
longCondition = ema5 > ema14 and ema14 > ema34 and ema34 > ema55 and macdZeroCross and rsi > 50
shortCondition = ema5 < ema14 and ema14 < ema34 and ema34 < ema55 and macdZeroCross and rsi < 50
// Plotlar
plot(ema5, color=color.blue, linewidth=1)
plot(ema14, color=color.green, linewidth=1)
plot(ema34, color=color.red, linewidth=1)
plot(ema55, color=color.orange, linewidth=1)
plot(rsi, title="RSI", color=color.purple, linewidth=1, style=plot.style_line)
// Alış ve Satış Sinyalleri
if (longCondition)
strategy.entry("Long", strategy.long)
if (shortCondition)
strategy.entry("Short", strategy.short)
// Stop-loss ve Take-profit hesaplamaları
stopLoss = ema34
takeProfit = stopLoss * 3
// Stop-loss ve Take-profit Stratejisi
strategy.exit("Exit Long", from_entry="Long", stop=stopLoss, limit=takeProfit)
strategy.exit("Exit Short", from_entry="Short", stop=stopLoss, limit=takeProfit)
```
### Açıklamalar:
- **EMA Koşulları**: 5 EMA'nın 14 EMA'nın üzerinde, 14 EMA'nın 34 EMA'nın üzerinde ve 34 EMA'nın 55 EMA'nın üzerinde olması koşuluyla alım sinyali oluşur.
- **MACD**: MACD sıfır çizgisini kestiğinde alım koşulu tetiklenir (yükseliş için sıfırdan yukarı kesiş, düşüş için sıfırdan aşağı kesiş).
- **RSI**: RSI değeri 50'nin üzerinde olmalıdır.
- **Stop-Loss ve Take-Profit**: Stop-loss 34 EMA'ya yerleştirilir ve take-profit, bu seviyenin 1.5 katı kadar belirlenir.
- **Çizimler**: EMA'lar grafikte farklı renklerle çizilir. Ayrıca RSI'yi de izleyebilirsiniz.
Bu strateji, alım koşulunda EMA'ların sıralamasına, MACD'nin sıfır kesişine ve RSI'nin 50'nin üzerinde olmasına dayanır. Stop-loss ve take-profit seviyeleri de belirttiğiniz gibi hesaplanır.
Bu stratejiyi TradingView üzerinde test edebilir ve optimize edebilirsiniz.
Trend Strategy with Stop LossBUY: Supertrend bullish (green)+RSI < 65(not overbought) + Price above 50 period SMA
SELL: Supertrend flips bearish
Manual ADX with Color-Coded TrendThis script calculates and plots the ADX using Wilder’s smoothing. The ADX line changes color according to trend strength:
Red: ADX < 20 (weak/no trend)
Orange: 20 ≤ ADX < 25 (transition)
Green: ADX ≥ 25 (strong trend)
Inputs:
ADX Length (default is 14)
Calculation Steps:
Compute True Range (TR).
Determine positive and negative directional movements (plusDM and minusDM).
Smooth the values using Wilder’s smoothing method (ta.rma).
Compute directional indicators (DI) and the DX.
Derive the ADX from the smoothed DX values.
Jiggle CookieA compact indicator that spots fast intraday scalping opportunities by detecting fake breakouts and wicks around local highs or lows. It calculates a short-term price range to estimate stop/target levels, then flags potential entries with on-chart labels and optional alerts. When a candle’s wick extends beyond the identified micro-range (but snaps back), the script issues a reversal signal and plots suggested stop-loss and take-profit dots for handy risk management. Perfect for traders who enjoy catching those short bursts of volatility while keeping a tight handle on risk and reward.
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.
*/
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
EMA & Bollinger BandsThis indicator combines three main functionalities into a single script:
1. Exponential Moving Average (EMA):
- Purpose: Calculates and plots the EMA of a chosen price source.
- Inputs:
- EMA Length: The period for the EMA calculation.
- EMA Source: The price series (such as close) used for the EMA.
- EMA Offset: Allows shifting the EMA line left or right on the chart.
- Output: A blue-colored EMA line plotted on the chart.
2. Smoothing MA on EMA:
- Purpose: Applies a secondary moving average (MA) on the previously calculated EMA. There is also an option to overlay Bollinger Bands on this smoothed MA.
- Inputs:
- Smoothing MA Type: Options include "None", "SMA", "SMA + Bollinger Bands", "EMA", "SMMA (RMA)", "WMA", and "VWMA".
- Selecting "None" disables this feature.
- Choosing "SMA + Bollinger Bands" will additionally plot Bollinger Bands around the smoothed MA.
- Smoothing MA Length: The period used to calculate the smoothing MA.
- BB StdDev for Smoothing MA: The standard deviation multiplier for the Bollinger Bands (applies only when "SMA + Bollinger Bands" is selected).
- Calculation Details:
- The chosen MA type is applied to the EMA value.
- If Bollinger Bands are enabled, the script computes the standard deviation of the EMA over the smoothing period, multiplies it by the specified multiplier, and then plots an upper and lower band around the smoothing MA.
- Output:
- A yellow-colored smoothing MA line.
- Optionally, green-colored upper and lower Bollinger Bands with a filled background if the "SMA + Bollinger Bands" option is selected.
3. Bollinger Bands on Price:
- Purpose: Independently calculates and plots traditional Bollinger Bands based on a moving average of a selected price source.
- Inputs:
- BB Length: The period for calculating the moving average that serves as the basis of the Bollinger Bands.
- BB Basis MA Type: The type of moving average to use (options include SMA, EMA, SMMA (RMA), WMA, and VWMA).
- BB Source: The price series (such as close) used for the Bollinger Bands calculation.
- BB StdDev: The multiplier for the standard deviation used to calculate the upper and lower bands.
- BB Offset: Allows shifting the Bollinger Bands left or right on the chart.
- Calculation Details:
- The script computes a basis line using the selected MA type on the chosen price source.
- The standard deviation of the price over the specified period is then multiplied by the provided multiplier to determine the distance for the upper and lower bands.
- Output:
- A basis line (typically drawn in a blue tone), an upper band (red), and a lower band (teal).
- The area between the upper and lower bands is filled with a semi-transparent blue background for easier visualization.
---
How It Works Together
- Integration:
The script is divided into clearly labeled sections for each functionality. All parts are drawn on the same chart (overlay mode enabled), providing a comprehensive view of market trends.
- Customization:
Users can adjust parameters for the EMA, the smoothing MA (and its optional Bollinger Bands), as well as the traditional Bollinger Bands independently. This allows for flexible customization depending on the trader's strategy or visual preference.
- Utility:
Combining these three analyses into one indicator enables traders to view:
- The immediate trend via the EMA.
- A secondary smoothed trend that might help reduce noise.
- A volatility measure through Bollinger Bands on both the price and the smoothed EMA.
---
This combined indicator is useful for technical analysis by providing both trend-following (EMA and smoothing MA) and volatility indicators (Bollinger Bands) in one streamlined tool.
[GrandAlgo] MTF Historical Highs and LowsMany traders rely on weekly highs and lows to identify key market levels, but what if you could see how price reacted to these levels in past weeks, months, or even years? With MTF Historical Highs and Lows, you can visualize all past highs, lows, and midpoints from any timeframe, allowing you to refine your strategy and make more informed trading decisions.
This indicator retrieves and plots historical highs, lows, and midpoints based on a user-selected timeframe (default: Weekly). It dynamically updates, ensuring that all significant price levels remain visible on your chart. Additionally, smart filtering helps you focus only on relevant levels, and alerts notify you when price interacts with key zones.
Key Features:
✅ Automatically Fetches & Plots Historical Highs, Lows, and Midpoints
✅ Customizable Timeframes (default: Weekly, but adjustable)
✅ Visibility Filtering – Hides lines that are too far from the current price
✅ Alerts for Key Levels – Get notified when price touches an important historical level
✅ Customizable Colors & Display Preferences for clarity
How It Works:
1️⃣ Select a Date Range – Focus on historical levels that are most relevant to the current market conditions
2️⃣ Choose a Timeframe – Use Weekly, Monthly, or any timeframe that suits your strategy.
3️⃣ Enable Highs, Lows, and Midpoints – Customize what you want to see.
4️⃣ Adjust Filtering – Hide lines that are too far from the current price to reduce clutter.
5️⃣ Get Alerts – Be notified when price reaches a historical level for potential trade setups.
Ideal for Traders Who:
Trade Support & Resistance Levels – Understand how price reacts at historical highs and lows.
Analyze Market Structure – Identify key areas where price may reverse or break out.
Want Smart Alerts – Stay informed without staring at charts all day.
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.
R3v GoldKey Uses of Moving Averages:
Trend Identification: Moving averages help determine the overall market direction. If the price is above the moving average, it suggests an uptrend, while if it’s below, it suggests a downtrend.
Support and Resistance Levels: Prices often respect the moving average as dynamic support or resistance levels. For example, during an uptrend, the price may frequently bounce off the moving average.
Crossovers: A common trading strategy involves two moving averages with different periods, such as a fast EMA (like the 9-period) crossing above a slow SMA (like the 50-period). This crossover can signal a potential buy (bullish crossover) or sell (bearish crossover).
Trend Indicator with ArrowsClosing above previous high or closing below previous low is trend for me. Just see all time frames for same trend to get high probability setups. Look for uptrend after a stop hunt in LTF
Seasonality Forecast: Predicting Market Trends with HistoricaThis Pine Script indicator analyzes **seasonal price patterns** based on historical data. It calculates **average price movements** over a user-defined lookback period (default: 5 years) and projects them into the future (default: 365 days). The script accounts for **election cycles**, allowing users to filter by election years, pre-election years, or post-election years. It tracks **trading days, weeks, and months**, smoothing the seasonal trend and adjusting for price scale.
