TREND 1The Trend 1 Indicator is a technical analysis tool designed to identify and visualize the prevailing trend direction in financial markets. It's particularly useful for traders who rely on trend-following strategies.
Key Features:
Trend Identification: The indicator helps identify the current trend as either uptrend, downtrend, or sideways.
Trend Strength: It can provide insights into the strength or weakness of the prevailing trend.
Potential Reversal Signals: While not explicitly designed for reversal signals, traders may observe changes in the indicator's behavior to anticipate potential trend shifts.
How it Works:
The exact calculation and interpretation of the Trend 1 Indicator can vary depending on the specific implementation and the platform used. However, generally, it involves analyzing price movements over a specific period to determine the overall direction and momentum.
Common Uses:
Trading Decisions: Traders may use the indicator to align their trades with the identified trend direction. For example, if the indicator suggests an uptrend, they might favor long positions (buying).
Risk Management: The indicator can help traders assess the risk associated with their trades by providing insights into the strength and potential volatility of the current trend.
Portfolio Allocation: Investors may use the indicator to determine the overall market trend and adjust their portfolio allocations accordingly.
Important Considerations:
No Holy Grail: The Trend 1 Indicator, like any other technical indicator, is not foolproof. It should be used in conjunction with other analysis methods and risk management strategies.
Customization: The parameters and settings of the indicator can be customized to suit individual trading styles and preferences.
Backtesting: It's essential to backtest any trading strategy using the Trend 1 Indicator on historical data to evaluate its performance and effectiveness.
By understanding the principles of the Trend 1 Indicator and incorporating it into their trading arsenal, traders can potentially improve their decision-making process and enhance their overall trading performance.
Breitenindikatoren
TICK Charting & DivergencesOverview
The TICK index measures the number of NYSE stocks making an uptick versus a downtick. This indicator identifies divergences between price action and TICK readings, potentially signaling trend reversals.
Key Features
Real-time TICK monitoring during market hours (9:30 AM - 4:00 PM ET)
Customizable smoothing factor for TICK values
Regular and hidden divergences detection
Reference lines at ±500 and ±1000 levels
Current TICK value display
TICK Internals Interpretation
Above +1000: Strong buying pressure, potential exhaustion
Above +500: Moderate buying pressure
Below -500: Moderate selling pressure
Below -1000: Strong selling pressure, potential exhaustion
Best Practices
Use in conjunction with support/resistance levels, market trend direction, and time of day.
Higher probability setups with multiple timeframe confirmation, divergence at key price levels, and extreme TICK readings (±1000).
Settings Optimization
Smoothing Factor: 1-3 (lower for faster signals)
Pivot Lookback: 5-10 bars (adjust based on timeframe)
Range: 5-60 bars (wider for longer-term signals)
Warning Signs
Multiple failed divergences
Choppy price action
Low volume periods
Major news events pending
Remember: TICK divergences are not guaranteed signals. Always use proper risk management and combine with other technical analysis tools.
MA Distance with StdDev BandsThis Pine Script indicator calculates and visualizes the percentage deviation from a moving average with dynamic standard deviation bands. Here's what it does:
Key Features
Calculates the percentage difference between current price and a user-selected moving average (SMA, EMA, or VWMA)
Computes standard deviation bands using the entire historical dataset
Displays dynamic color changes based on price movement and band positions
Visual Components
Main line: Shows percentage deviation from the moving average
Dashed bands: Upper and lower standard deviation boundaries
Zero line: Reference for neutral position
Color signals:
Red: Price outside standard deviation bands
Green: Above MA and rising
Orange: Below MA but rising
Blue: Other conditions
MA Distance with StdDev BandsThis Pine Script indicator calculates and visualizes the percentage deviation from a moving average with dynamic standard deviation bands. Here's what it does:
Key Features
Calculates the percentage difference between current price and a user-selected moving average (SMA, EMA, or VWMA)
Computes standard deviation bands using the entire historical dataset
Displays dynamic color changes based on price movement and band positions
Visual Components
Main line: Shows percentage deviation from the moving average
Dashed bands: Upper and lower standard deviation boundaries
Zero line: Reference for neutral position
Color signals:
Red: Price outside standard deviation bands
Green: Above MA and rising
Orange: Below MA but rising
Blue: Other conditions
Binary Options Pro Helper By Himanshu AgnihotryThe Binary Options Pro Helper is a custom indicator designed specifically for one-minute binary options trading. This tool combines technical analysis methods like moving averages, RSI, Bollinger Bands, and pattern recognition to provide precise Buy and Sell signals. It also includes a time-based filter to ensure trades are executed only during optimal market conditions.
Features:
Moving Averages (EMA):
Uses short-term (7-period) and long-term (21-period) EMA crossovers for trend detection.
RSI-Based Signals:
Identifies overbought/oversold conditions for entry points.
Bollinger Bands:
Highlights market volatility and potential reversal zones.
Chart Pattern Recognition:
Detects double tops (sell signals) and double bottoms (buy signals).
Time-Based Filter:
Trades only within specified hours (e.g., 9:30 AM to 11:30 AM) to avoid unnecessary noise.
Visual Signals:
Plots buy and sell markers directly on the chart for ease of use.
How to Use:
Setup:
Add this script to your TradingView chart and select a 1-minute timeframe.
Signal Interpretation:
Buy Signal: Triggered when EMA crossover occurs, RSI is oversold (<30), and a double bottom pattern is detected.
Sell Signal: Triggered when EMA crossover occurs, RSI is overbought (>70), and a double top pattern is detected.
Timing:
Ensure trades are executed only during the specified time window for better accuracy.
Best Practices:
Use this indicator alongside fundamental analysis or market sentiment.
Test it thoroughly with historical data (backtesting) and in a demo account before live trading.
Adjust parameters (e.g., EMA periods, RSI thresholds) based on your trading style.
EMA Crossover with Alerts taufiqiskcross over ema 9 dan ema 21 sangat cocok untuk scalping dikit dikit
heaven rope Meta AI: Here's a brief description of a price action indicator that works similarly to the Super Moving Channel (SMC) indicator:
Indicator Name: Moving Average Cloud (MAC)
*Description:*
The Moving Average Cloud (MAC) is a price action indicator that combines multiple moving averages to create a "cloud" that surrounds the price action. This cloud acts as a dynamic support and resistance zone, helping traders identify trends, reversals, and potential trading opportunities.
*Key Components:*
1. *Multiple Moving Averages*: The MAC uses a combination of short-term and long-term moving averages to create the cloud.
2. *Cloud Formation*: The moving averages are plotted on the chart, creating a cloud-like formation that adapts to changing market conditions.
3. *Support and Resistance*: The cloud acts as a dynamic support and resistance zone, helping traders identify potential trading opportunities.
*Trading Strategies:*
1. *Trend Following*: Use the MAC to identify the trend direction and follow it.
2. *Mean Reversion*: Look for price action to revert to the mean (the cloud) after a significant move.
3. *Breakout Trading*: Trade breakouts from the cloud, using the cloud as a reference point for support and resistance.
The Moving Average Cloud (MAC) indicator provides a unique perspective on price action, helping traders make more informed decisions.
Meta AI: Here's a brief description of a price action indicator that works similarly to the Super Moving Channel (SMC) indicator:
Indicator Name: Moving Average Cloud (MAC)
*Description:*
The Moving Average Cloud (MAC) is a price action indicator that combines multiple moving averages to create a "cloud" that surrounds the price action. This cloud acts as a dynamic support and resistance zone, helping traders identify trends, reversals, and potential trading opportunities.
*Key Components:*
1. *Multiple Moving Averages*: The MAC uses a combination of short-term and long-term moving averages to create the cloud.
2. *Cloud Formation*: The moving averages are plotted on the chart, creating a cloud-like formation that adapts to changing market conditions.
3. *Support and Resistance*: The cloud acts as a dynamic support and resistance zone, helping traders identify potential trading opportunities.
*Trading Strategies:*
1. *Trend Following*: Use the MAC to identify the trend direction and follow it.
2. *Mean Reversion*: Look for price action to revert to the mean (the cloud) after a significant move.
3. **Breakout Trading
heaven rope Meta AI: Here's a brief description of a price action indicator that works similarly to the Super Moving Channel (SMC) indicator:
Indicator Name: Moving Average Cloud (MAC)
*Description:*
The Moving Average Cloud (MAC) is a price action indicator that combines multiple moving averages to create a "cloud" that surrounds the price action. This cloud acts as a dynamic support and resistance zone, helping traders identify trends, reversals, and potential trading opportunities.
*Key Components:*
1. *Multiple Moving Averages*: The MAC uses a combination of short-term and long-term moving averages to create the cloud.
2. *Cloud Formation*: The moving averages are plotted on the chart, creating a cloud-like formation that adapts to changing market conditions.
3. *Support and Resistance*: The cloud acts as a dynamic support and resistance zone, helping traders identify potential trading opportunities.
*Trading Strategies:*
1. *Trend Following*: Use the MAC to identify the trend direction and follow it.
2. *Mean Reversion*: Look for price action to revert to the mean (the cloud) after a significant move.
3. *Breakout Trading*: Trade breakouts from the cloud, using the cloud as a reference point for support and resistance.
The Moving Average Cloud (MAC) indicator provides a unique perspective on price action, helping traders make more informed decisions.
Meta AI: Here's a brief description of a price action indicator that works similarly to the Super Moving Channel (SMC) indicator:
Indicator Name: Moving Average Cloud (MAC)
*Description:*
The Moving Average Cloud (MAC) is a price action indicator that combines multiple moving averages to create a "cloud" that surrounds the price action. This cloud acts as a dynamic support and resistance zone, helping traders identify trends, reversals, and potential trading opportunities.
*Key Components:*
1. *Multiple Moving Averages*: The MAC uses a combination of short-term and long-term moving averages to create the cloud.
2. *Cloud Formation*: The moving averages are plotted on the chart, creating a cloud-like formation that adapts to changing market conditions.
3. *Support and Resistance*: The cloud acts as a dynamic support and resistance zone, helping traders identify potential trading opportunities.
*Trading Strategies:*
1. *Trend Following*: Use the MAC to identify the trend direction and follow it.
2. *Mean Reversion*: Look for price action to revert to the mean (the cloud) after a significant move.
3. **Breakout Trading
//@version=5 indicator("5 Supertrend with Custom Settings", overAynı anda beş farklı zaman verisini görebilirsiniz.
High-Low Breakout its about high & low of the candle stick pattern he highest high of the last 3 candles is broken then buy, and sell signals when the lowest low of the last 3 candles is broken then sell. after buy when trend changes than give other signal
Abdulelah Eid//@version=5
strategy("VWAP and MA Strategy with Volume Confirmation - Customizable", overlay=true)
// إعدادات VWAP
vwapSource = input.source(title="VWAP Source", defval=hlc3)
// إعدادات المتوسطات المتحركة
ma20Length = input.int(title="MA20 Length", defval=20)
ma50Length = input.int(title="MA50 Length", defval=50)
// إعدادات حجم التداول
volumeMultiplier = input.float(title="Volume Multiplier", defval=1.5)
// حساب VWAP
vwap = ta.vwap(vwapSource, volume)
// حساب المتوسطات المتحركة
ma20 = ta.sma(close, ma20Length)
ma50 = ta.sma(close, ma50Length)
// شروط الشراء
longCondition = close > vwap and ma20 > ma50 and volume > ta.sma(volume, 20) * volumeMultiplier
// شروط البيع
shortCondition = close < vwap and ma20 < ma50 and volume > ta.sma(volume, 20) * volumeMultiplier
// رسم VWAP والمتوسطات المتحركة
plot(vwap, color=color.blue, title="VWAP")
plot(ma20, color=color.red, title="MA20")
plot(ma50, color=color.green, title="MA50")
// رسم إشارات الدخول والخروج (باستخدام plotchar)
plotchar(longCondition, char="كول", location=location.belowbar, color=color.green, size=size.small, title="Buy Signal")
plotchar(shortCondition, char="بوت", location=location.abovebar, color=color.red, size=size.small, title="Sell Signal")
// أوامر الدخول والخروج (اختياري)
if (longCondition)
strategy.entry("Long", strategy.long)
if (shortCondition)
strategy.entry("Short", strategy.short)
123@123@. //@version=5
strategy("VWAP and MA Strategy with Volume Confirmation - Customizable", overlay=true)
// إعدادات VWAP
vwapSource = input.source(title="VWAP Source", defval=hlc3)
// إعدادات المتوسطات المتحركة
ma20Length = input.int(title="MA20 Length", defval=20)
ma50Length = input.int(title="MA50 Length", defval=50)
// إعدادات حجم التداول
volumeMultiplier = input.float(title="Volume Multiplier", defval=1.5)
// حساب VWAP
vwap = ta.vwap(vwapSource, volume)
// حساب المتوسطات المتحركة
ma20 = ta.sma(close, ma20Length)
ma50 = ta.sma(close, ma50Length)
// شروط الشراء
longCondition = close > vwap and ma20 > ma50 and volume > ta.sma(volume, 20) * volumeMultiplier
// شروط البيع
shortCondition = close < vwap and ma20 < ma50 and volume > ta.sma(volume, 20) * volumeMultiplier
// رسم VWAP والمتوسطات المتحركة
plot(vwap, color=color.blue, title="VWAP")
plot(ma20, color=color.red, title="MA20")
plot(ma50, color=color.green, title="MA50")
// رسم إشارات الدخول والخروج (باستخدام plotchar)
plotchar(longCondition, char="كول", location=location.belowbar, color=color.green, size=size.small, title="Buy Signal")
plotchar(shortCondition, char="بوت", location=location.abovebar, color=color.red, size=size.small, title="Sell Signal")
// أوامر الدخول والخروج (اختياري)
if (longCondition)
strategy.entry("Long", strategy.long)
if (shortCondition)
strategy.entry("Short", strategy.short)
ATR news targetThis indicator is based on the calculation of the ATR and the use of multipliers to define specific price levels. It is crucial that it is fixed to the price axis.
During periods of high volatility, such as during the release of macroeconomic data, it is essential to understand the magnitude of price movements.
By multiplying the ATR (customizable period) by specific multipliers (customizable variables), exit targets (stop loss and take profit) are determined based on the current volatility, ensuring greater adaptability to the market.
The directionality will be determined by the news, but thanks to the indicator (calculated on the last closed candle), you will have the ability to precisely determine stop loss, take profit, and retracement points.
Pro Stock Scanner + MACD# Pro Stock Scanner - Advanced Trading System
### Professional Scanning System Combining MACD, Momentum & Technical Analysis
## 🎯 Indicator Purpose
This indicator was developed to identify high-quality trading opportunities by combining:
- Strong positive momentum
- Clear technical trend
- Significant trading volume
- Precise MACD signals
## 💡 Core Mechanics
The indicator is based on three core components:
### 1. Advanced MACD Analysis (40%)
- MACD line crossover tracking
- Momentum strength measurement
- Positive/negative divergence detection
- Score range: 0-40 points
### 2. Trend Analysis (40%)
- Moving average relationships (MA20, MA50)
- Primary trend direction
- Current trend strength
- Score range: 0-40 points
### 3. Volume Analysis (20%)
- Comparison with 20-day average volume
- Volume breakout detection
- Score range: 0-20 points
## 📊 Scoring System
Total score (0-100) composition:
```
Total Score = MACD Score (40%) + Trend Score (40%) + Volume Score (20%)
```
### Score Interpretation:
- 80-100: Strong Buy Signal 🔥
- 65-79: Developing Bullish Trend ⬆️
- 50-64: Neutral ↔️
- 0-49: Technical Weakness ⬇️
## 📈 Chart Markers
1. **Large Blue Triangle**
- High score (80+)
- Positive MACD
- Bullish MACD crossover
2. **Small Triangles**
- Green: Bullish MACD crossover
- Red: Bearish MACD crossover
## 🎛️ Customizable Parameters
```
MACD Settings:
- Fast Length: 12
- Slow Length: 26
- Signal Length: 9
- Strength Threshold: 0.2%
Volume Settings:
- Threshold: 1.5x average
```
## 📱 Information Panel
Real-time display of:
1. Total Score
2. MACD Score
3. MACD Strength
4. Volume Score
5. Summary Signal
## ⚙️ Optimization Guidelines
Recommended adjustments:
1. **Bull Market**
- Decrease MACD sensitivity
- Increase volume threshold
- Focus on trend strength
2. **Bear Market**
- Increase MACD sensitivity
- Stricter trend conditions
- Higher score requirements
## 🎯 Recommended Trading Strategy
### Phase 1: Initial Scan
1. Look for 80+ total score
2. Verify sufficient trading volume
3. Confirm bullish MACD crossover
### Phase 2: Validation
1. Check long-term trend
2. Identify nearby resistance levels
3. Review earnings calendar
### Phase 3: Position Management
1. Set clear stop-loss
2. Define realistic profit targets
3. Monitor score changes
## ⚠️ Important Notes
1. This indicator is a supplementary tool
2. Combine with fundamental analysis
3. Strict risk management is essential
4. Not recommended for automated trading
## 📈 Usage Examples
Examples included:
1. Successful buy signal
2. Trend reversal identification
3. False signal analysis and lessons learned
## 🔄 Future Updates
1. RSI integration
2. Advanced alerts
3. Auto-optimization features
## 🎯 Key Benefits
1. Clear scoring system
2. Multiple confirmation layers
3. Real-time market feedback
4. Customizable parameters
## 🚀 Getting Started
1. Add indicator to chart
2. Adjust parameters if needed
3. Monitor information panel
4. Wait for strong signals (80+ score)
## 📊 Performance Metrics
- Success rate: Monitor and track
- Best performing in trending markets
- Optimal for swing trading
- Most effective on daily timeframe
## 🛠️ Technical Details
```pine
// Core components
1. MACD calculation
2. Volume analysis
3. Trend confirmation
4. Score computation
```
## 💡 Pro Tips
1. Use multiple timeframes
2. Combine with support/resistance
3. Monitor sector trends
4. Consider market conditions
## 🤝 Support
Feedback and improvement suggestions welcome!
## 📜 License
MIT License - Free to use and modify
## 📚 Additional Resources
- Recommended timeframes: Daily, 4H
- Best performing markets: Stocks, ETFs
- Optimal market conditions: Trending markets
- Risk management guidelines included
## 🔍 Final Notes
Remember:
- No indicator is 100% accurate
- Always use proper position sizing
- Combine with other analysis tools
- Practice proper risk management
// @version=5
// @description Pro Stock Scanner - Advanced trading system combining MACD, momentum and volume analysis
// @author AviPro
// @license MIT
//
// This indicator helps identify high-quality trading opportunities by analyzing:
// 1. MACD momentum and crossovers
// 2. Trend strength and direction
// 3. Volume patterns and breakouts
//
// The system provides:
// - Total score (0-100)
// - Visual signals on chart
// - Information panel with key metrics
// - Customizable parameters
//
// IMPORTANT: This indicator is for educational and informational purposes only.
// Always conduct your own analysis and use proper risk management.
//
// If you find this indicator helpful, please consider leaving a like and comment!
// Feedback and suggestions for improvement are always welcome.
Price Analysis with Custom LookbackThis TradingView indicator analyzes price data over a customizable lookback period to identify key metrics:
The highest daily close, representing the peak closing price during the specified period.
The highest wick, showing the maximum price reached within the same timeframe.
The lowest daily close, indicating the lowest closing price.
The lowest wick, reflecting the minimum price reached during the lookback period.
The indicator is useful for traders looking to understand recent price extremes and ranges. It provides a visual representation of these metrics on the chart, with customizable settings for the analysis period.
HOD/LOD/PMH/PML/PDH/PDL Strategy by @tradingbauhaus This script is a trading strategy @tradingbauhaus designed to trade based on key price levels, such as the High of Day (HOD), Low of Day (LOD), Premarket High (PMH), Premarket Low (PML), Previous Day High (PDH), and Previous Day Low (PDL). Below, I’ll explain in detail what the script does:
Core Functionality of the Script:
Calculates Key Price Levels:
HOD (High of Day): The highest price of the current day.
LOD (Low of Day): The lowest price of the current day.
PMH (Premarket High): The highest price during the premarket session (before the market opens).
PML (Premarket Low): The lowest price during the premarket session.
PDH (Previous Day High): The highest price of the previous day.
PDL (Previous Day Low): The lowest price of the previous day.
Draws Horizontal Lines on the Chart:
Plots horizontal lines on the chart for each key level (HOD, LOD, PMH, PML, PDH, PDL) with specific colors for easy visual identification.
Defines Entry and Exit Rules:
Long Entry (Buy): If the price crosses above the PMH (Premarket High) or the PDH (Previous Day High).
Short Entry (Sell): If the price crosses below the PML (Premarket Low) or the PDL (Previous Day Low).
Long Exit: If the price reaches the HOD (High of Day) during a long position.
Short Exit: If the price reaches the LOD (Low of Day) during a short position.
How the Script Works Step by Step:
Calculates Key Levels:
Uses the request.security function to fetch the HOD and LOD of the current day, as well as the highs and lows of the previous day (PDH and PDL).
Calculates the PMH and PML during the premarket session (before 9:30 AM).
Plots Levels on the Chart:
Uses the plot function to draw horizontal lines on the chart representing the key levels (HOD, LOD, PMH, PML, PDH, PDL).
Each level has a specific color for easy identification:
HOD: White.
LOD: Purple.
PDH: Orange.
PDL: Blue.
PMH: Green.
PML: Red.
Defines Trading Rules:
Uses conditions with ta.crossover and ta.crossunder to detect when the price crosses key levels.
Long Entry: If the price crosses above the PMH or PDH, a long position (buy) is opened.
Short Entry: If the price crosses below the PML or PDL, a short position (sell) is opened.
Long Exit: If the price reaches the HOD during a long position, the position is closed.
Short Exit: If the price reaches the LOD during a short position, the position is closed.
Executes Orders Automatically:
Uses the strategy.entry and strategy.close functions to open and close positions automatically based on the defined rules.
Advantages of This Strategy:
Based on Key Levels: Uses important price levels that often act as support and resistance.
Easy to Visualize: Horizontal lines on the chart make it easy to identify levels.
Automated: Entries and exits are executed automatically based on the defined rules.
Limitations of This Strategy:
Dependent on Volatility: Works best in markets with significant price movements.
False Crosses: There may be false crosses that generate incorrect signals.
No Advanced Risk Management: Does not include dynamic stop-loss or take-profit mechanisms.
How to Improve the Strategy:
Add Stop-Loss and Take-Profit: To limit losses and lock in profits.
Filter Signals with Indicators: Use RSI, MACD, or other indicators to confirm signals.
Optimize Levels: Adjust key levels based on the asset’s behavior.
In summary, this script is a trading strategy that operates based on key price levels, such as HOD, LOD, PMH, PML, PDH, and PDL. It is useful for traders who want to trade based on significant support and resistance levels.
GapAura: Dynamic Gap [AstroHub]GapAura is a powerful indicator designed to analyze and visualize price gaps on your charts. It focuses on the key levels created by gaps between the open of the current day and the close of the previous day. The indicator connects these gap levels with trend-like lines, allowing traders to easily identify significant price movements and potential turning points in the market.
GapCloud automatically differentiates between upward and downward gaps, helping traders visualize important support and resistance levels that emerge following these gaps. The lines representing these gaps behave like trend lines, providing clear and actionable insights for market analysis. Unlike traditional gap indicators, GapCloud offers a dynamic approach to gap visualization, making it easier for traders to assess the impact of price gaps on future market movement.
How to Use:
Gap Up: When the open of the current day is higher than the close of the previous day, GapCloud draws a line connecting these two levels. This visualizes the gap upward and helps identify the trend direction, as well as potential support zones.
Gap Down: When the open of the current day is lower than the close of the previous day, the indicator draws a line that connects these levels, showing a downward gap. This can highlight potential resistance levels.
The lines for each gap are connected to form continuous trend-like levels, giving traders a clear picture of market structure. These lines can also be used to identify areas of strong support or resistance, and potential turning points where the price may reverse or continue in the same direction.
What Makes This Indicator Unique:
GapCloud stands out by transforming gaps into trend-like lines, offering more than just a simple visualization of the gap itself. By connecting the open and close levels of the current and previous day, it allows traders to see how these price differences can act as significant support or resistance levels. These lines help traders spot market trends and potential reversals more clearly, giving them an edge in making more informed trading decisions.
The ability to visualize gaps as trend lines gives traders a unique advantage in understanding market behavior. Gaps are not just seen as isolated events; they are integrated into the overall market structure and can provide critical insights into the potential price direction.
In addition to this, GapCloud offers a high degree of customization. Users can adjust the thickness, style, and color of the gap lines to fit their trading preferences and style. This makes the indicator adaptable to various types of trading strategies, from short-term to long-term analysis.
Key Features:
Identifies and visualizes gaps between the open of the current day and the close of the previous day.
Converts gap levels into trend-like lines, providing clarity and actionable insights for traders.
Helps identify potential support and resistance levels based on gap locations.
Fully customizable settings, including line thickness, style, and color, to suit individual trading preferences.
Provides a dynamic approach to gap analysis, helping traders forecast market direction and potential reversals with greater accuracy.
GapCloud is an essential tool for any trader looking to enhance their market analysis. By visualizing price gaps as connected trend lines, it simplifies the process of identifying key levels and market structure, giving traders an edge in understanding price movements and making more informed decisions.
Stochastic RSI - Multi Timeframe - 8 phasesMonitorar no gráfico de minuto qualquer ativo o RSI estocástico em 8 tempos gráficos sem a necessidade de transitar entre os demais gráficos.
Para configurar após selecionar este indicador, seguem os passos abaixo:
Selecionar o botão Configurações :
Na primeira tela de configuração (VALORES):
Smooth K = valor padrão está em 3 e o mínimo é 1
Smooth D = valor padrão está em 3 e o mínimo é 1
O período IFR e o período estocástico está no padrão de 14 candles (para cada tipo de tempo gráfico)
fonte do IFR = padrão no fechamento do candle
selecionar nos canais de 1 a 8 os timeframes os tempos que achar necessário monitorar...
é possível selecionar apenas 1 tipo de tempo gráfico para monitorar
Na segunda tela de configuração (ESTILO):
Selecionar qual canal de 1 a 8 será ativado através da curva K ou D ou ambas
Selecionar os limites do RSI mínimo e máximo e a referencia neutra
Na terceira tela de configuração (Visibilidade):
selecionar padrão ticks e tempos gráficos para todos os tipos;
Mean Reversion V-FThis strategy workings on high volatile stock or crypto assets
It using 5 dynamic band's to get in the long position.
In same time depends on the band increases the units of the asset to get in the next position.
The unit's of the asset can be adjusted. Make sure to adjust the unit for different asset.
The bands are determined of main SMA.
There is no stop loss.
Take profit is trialing - HMA or % or average price + take profit - note if you use % trailing back test is not realistic but is working on real time.
Deviations can be adjust depends on the asset volatility.
OBV Divergence Indicator [TradingFinder] On-Balance Vol Reversal🔵 Introduction
The On-Balance Volume (OBV) indicator, introduced by Joe Granville in 1963, is a powerful technical analysis tool used to measure buying and selling pressure based on trading volume and price.
By aggregating trading volume—adding it on positive days and subtracting it on negative days—OBV creates a cumulative line that reflects market volume pressure, making it valuable for confirming trends, identifying entry and exit points, and forecasting potential price movements.
Divergences between price and OBV often provide significant signals. A bearish divergence occurs when the price forms higher highs while the OBV line forms lower highs. This discrepancy indicates that upward momentum is weakening, increasing the likelihood of a downward trend.
In contrast, a bullish divergence happens when the price makes lower lows, but the OBV line forms higher lows. This suggests increasing buying pressure and the potential for an upward trend reversal.
For instance, if the price is rising but the OBV trendline is falling, it may signal a bearish divergence, warning of a possible price decline. Conversely, if the price is falling while the OBV line is rising, this could signal a bullish divergence, indicating a possible price recovery. These signals are particularly useful for identifying market turning points.
OBV often acts as a leading indicator, moving ahead of price changes. For example, a rising OBV alongside stable or declining prices can signal an impending upward breakout.
Conversely, a declining OBV with rising prices may indicate that the current uptrend is losing strength. Traders using this strategy often consider entering positions at breakout levels while setting stop losses near recent swing highs or lows to manage risk effectively.
This integration highlights how OBV divergences can provide actionable insights for predicting price movements and managing trades efficiently.
Bullish Divergence :
Bearish Divergence :
🔵 How to Use
The OBV indicator, as a cumulative tool, assists analysts in comparing volume and price changes to identify new trends and key levels for entering or exiting trades. Beyond confirming existing trends, it is particularly effective in analyzing positive and negative divergences between price and volume, providing valuable signals for trading decisions.
🟣 Bullish Divergence
A bullish divergence occurs when the price continues its downward or stable trend, but the OBV line starts rising, forming a higher low compared to its previous low. This suggests increasing volume on up days relative to down days and often signals a reversal to the upside.
For instance, if an asset's price stabilizes near a support level but the OBV line shows an upward trend, this divergence could present an opportunity to enter a long position.
🟣 Bearish Divergence
A bearish divergence occurs when the price forms higher highs, but the OBV line declines, creating lower highs compared to previous peaks. This indicates decreasing volume on up days relative to down days and often acts as a warning for a reversal to the downside.
For example, if an asset’s price approaches a resistance level while OBV starts declining, this divergence may signal the beginning of a downtrend and could indicate a good time to exit long trades or enter short positions.
🔵 Setting
Period : The "Period" setting allows you to define the number of bars or intervals for "Periodic" and "EMA" modes. A shorter period captures more short-term movements, while a longer period smooths out the fluctuations and provides a broader view of market trends.
You can enable or disable labels to highlight key levels or divergences and tables to show numerical details like values and divergence types. These options allow for a customized chart display.
🔵 Table
The following table breaks down the main features of the oscillator. It covers four critical categories: Exist, Consecutive, Divergence Quality, and Change Phase Indicator.
Exist : If divergence is detected, a "+" will appear in this row.
Consecutive: Shows the number of consecutive divergences that have formed in a short period.
Divergence Quality : Evaluates the quality of the divergence based on the number of occurrences. One is labeled "Normal," two are "Good," and three or more are considered "Strong."
Change Phase Indicator : If a phase change is detected between two oscillation peaks, this is marked in the table.
🔵 Conclusion
The OBV (On Balance Volume) indicator is a simple yet effective tool in technical analysis that combines volume and price changes to provide a comprehensive view of market buying and selling pressure. By identifying positive and negative divergences, OBV enables analysts to detect early signs of trend reversals and refine their trading strategies.
Divergences in OBV often precede price changes, making it a leading indicator for predicting market movements. Using OBV alongside other technical tools can enhance decision-making accuracy and help traders identify better entry and exit points. However, it is essential to consider the limitations of OBV, such as the potential for signal errors and the impact of sudden news events.
Ultimately, OBV serves as a complementary tool in technical analysis, aiding in trend identification, signal confirmation, and risk management. A thoughtful application of this indicator, in combination with other analytical tools, can create valuable opportunities for profiting in financial markets.
Exponential Avg Body Size Green vs RedDescription :
This indicator calculates and plots the Exponential Moving Average (EMA) of green and red candlestick body sizes, allowing traders to easily visualize market momentum and sentiment shifts. The script includes the following features:
Customizable EMA Period: Users can set the number of candles to calculate the EMA through an input setting, with a default value of 21.
Separate Green and Red Candle Averages: Differentiates between bullish (green) and bearish (red) candlestick movements, plotting them as distinct lines.
Dynamic Range Control: Users can adjust the chart range (e.g., -50 to 50) for better visibility of the plotted lines.
Baseline for Reference: A horizontal baseline at 0 serves as a visual aid for easier interpretation.
Standalone Indicator Pane: The script is designed to display in a separate pane, preventing overlap with the price chart.
Use Case:
This indicator is ideal for traders seeking to analyze the relative strength of bullish versus bearish price movements over a specific period. The separation of green and red averages helps identify trends, potential reversals, or shifts in momentum.
ODR/PDR in Prices@DrGirishSawhneyThis indicator guide us about the recent rally of minimum 20% in any given script with consecutive green candles . the lowest point of green candle gives the buy signal and the highest point of green candle gives the sell or exit signal.
ROC with AveragesMain Idea
This script provides traders with a comprehensive view of market momentum by calculating the Rate of Change (ROC) and categorizing its impact into averages of positive, negative, and total values.
Key Features
Rate of Change (ROC) Calculation: Measures the percentage change in closing prices over a user-defined period.
Categorical Averages:
Positive Average: Average ROC for upward movements.
Negative Average: Average ROC for downward movements.
Total Average: Aggregate average across all movements.
Dynamic Visualization: Plots ROC alongside its categorized averages for better trend analysis.
Benefits
Simplifies the evaluation of market trends by breaking down data into actionable insights.
Helps traders identify the strength of upward or downward movements.
Offers a clear visual representation for quick decision-making.
This structure highlights the purpose and value of the script while aligning with the Minto Pyramid Principle. Let me know if you'd like further refinements!
الفكرة الرئيسية
يوفر هذا السكربت للمتداولين رؤية شاملة لزخم السوق من خلال حساب معدل التغير (ROC) وتصنيفه إلى متوسطات القيم الإيجابية والسلبية والإجمالية.
المميزات الرئيسية
حساب معدل التغير (ROC): يقيس النسبة المئوية للتغير في أسعار الإغلاق خلال فترة محددة يختارها المستخدم.
المتوسطات التصنيفية:
المتوسط الإيجابي: متوسط معدل التغير للحركات الصعودية.
المتوسط السلبي: متوسط معدل التغير للحركات الهبوطية.
المتوسط الإجمالي: متوسط إجمالي يشمل جميع الحركات.
تصور ديناميكي: يعرض معدل التغير إلى جانب المتوسطات المصنفة لتسهيل تحليل الاتجاهات.
الفوائد
يبسط تقييم اتجاهات السوق من خلال تقسيم البيانات إلى رؤى قابلة للتنفيذ.
يساعد المتداولين على تحديد قوة الحركات الصعودية أو الهبوطية.
يقدم تمثيلاً بصرياً واضحاً لاتخاذ قرارات سريعة ودقيقة.
