Bewakoof stock indicator**Title**: "Bewakoof Stock Indicator: Multi-Timeframe RSI and SuperTrend Entry-Exit System"
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### Description
The **Bewakoof Stock Indicator** is an original trading tool that combines multi-timeframe RSI analysis with the SuperTrend indicator to create reliable entry and exit signals for trending markets. This indicator is designed for traders looking to follow strong trends with built-in risk management. By filtering entries through short- and long-term momentum and utilizing dynamic trailing exits, this indicator provides a structured approach to trading.
#### Indicator Components
1. **Multi-Timeframe RSI Analysis**:
- The Relative Strength Index (RSI) is calculated across three timeframes: Daily, Weekly, and Monthly.
- By examining multiple timeframes, the indicator confirms that trends align over short, medium, and long-term intervals, making buy signals more reliable.
- **Buy Condition**: All three RSI values must meet these thresholds:
- **Daily RSI > 50** – indicates short-term upward momentum,
- **Weekly RSI > 60** – signals medium-term strength,
- **Monthly RSI > 60** – confirms long-term trend alignment.
- This filtering process ensures that buy signals are generated only in stable, upward-trending markets.
2. **SuperTrend Confirmation**:
- The SuperTrend (20-period ATR with a multiplier of 2) acts as a trend filter and trailing stop mechanism.
- For a buy condition to be valid, the closing price must be above the SuperTrend level, verifying that the market is trending up.
- The combination of RSI and SuperTrend helps to avoid false signals, focusing only on well-established trends.
#### Trade Signals
- **Buy Signal**: When both the multi-timeframe RSI and SuperTrend conditions are met, a buy signal is triggered, indicated by a “BUY” label on the chart with details:
- **Entry Price**,
- **Initial Stop-Loss** (set at the SuperTrend level for risk control),
- **Target 1** – calculated with a 1:1 risk-reward ratio based on the initial stop-loss,
- **Target 2** – calculated with a 1:2 risk-reward ratio based on the initial stop-loss.
- **Exit Signals**: This indicator provides two exit strategies to protect profits:
1. **Fixed Stop-Loss**: Automatically set at the SuperTrend level at the time of entry to limit risk.
2. **Trailing Exit**: Exits are triggered if the price crosses below the SuperTrend level, adapting to potential trend reversals.
#### Labeling & Alerts
The **Bewakoof Stock Indicator** offers intuitive labeling and alert options:
- **Labels**: Buy and exit points are clearly marked, showing entry, stop-loss, and targets directly on the chart.
- **Alerts**: Custom alerts can be set for:
- **Buy signals** when both conditions are met, and
- **Exit signals** triggered by the stop-loss or trailing exit.
#### Use Case and Benefits
This indicator is ideal for trend-following traders who value risk control and trend confirmation:
- **Stronger Trend Signals**: By requiring RSI alignment across multiple timeframes, this indicator focuses only on trades with strong trend momentum.
- **Dynamic Risk Management**: Using both fixed and trailing exits enables flexible trade management, balancing risk and potential reward.
- **Simple Trade Execution**: The chart labels and alerts simplify trade decisions, making it easy to enter, manage, and exit trades.
#### How to Use
1. **Add** the Bewakoof Stock Indicator to your chart.
2. **Watch** for the "BUY" label as your entry point.
3. **Manage the trade** using the labeled stop-loss and target levels.
4. **Exit** on either a stop-loss hit or when the price crosses below the SuperTrend for a trailing exit.
The **Bewakoof Stock Indicator** is a complete solution for trend-following traders, combining the strength of multi-timeframe RSI with the SuperTrend’s trend-following capabilities. This systematic approach aims to provide high-confidence entries and effective risk management, empowering traders to follow trends with precision and control.
Análisis de tendencia
EMA 50 + 200 Trend Signal TableEMA 50 + 200 Trend Signal Table (ETT)
This indicator provides a multi-timeframe trend signal table based on the 50-period and 200-period Exponential Moving Averages (EMAs). It visually plots the EMA 50 and EMA 200 on the chart, along with a customizable, compact table that indicates the trend direction across multiple timeframes. This tool is useful for traders looking to quickly identify market trends and momentum on various timeframes.
How It Works
- EMA Trend Analysis: The script compares the EMA 50 and EMA 200 values to determine the trend. When EMA 50 is above EMA 200, the trend is considered Bullish; if EMA 50 is below EMA 200, the trend is Bearish. If EMA 200 data is unavailable (e.g., on very short timeframes), the trend status will display as Neutral.
- Multi-Timeframe Trend Signals: The table displays the trend signals across five user-defined timeframes, updating in real time. Each timeframe row shows either Bullish, Bearish, or Neutral, with colors customizable to your preference.
Features
- EMA 50 and EMA 200 Visualization: Plots EMA 50 and EMA 200 lines directly on the chart. Users can customize the color and line thickness for each EMA to fit their charting style.
- Trend Signal Table: A table positioned on the chart (with options for positioning in the corners) shows the trend direction for the selected timeframes.
Bullish Trend: Highlighted in green (default) with 50% opacity.
Bearish Trend: Highlighted in red (default) with 50% opacity.
Neutral Trend: Highlighted in gray (default) with 50% opacity.
- Customizable Table Appearance: Allows users to select the position of the table (top-right, top-left, bottom-right, or bottom-left) and choose between compact sizes (Extra Small, Small, Normal).
- Adjustable Colors: Users can specify custom colors for each trend status (Bullish, Bearish, Neutral) as well as for the text and table border colors.
Inputs and Customizations
- Timeframes: Choose up to five different timeframes for trend analysis.
- EMA Colors and Line Widths: Customize the color and line width of EMA 50 and EMA 200 plotted on the chart.
- Table Settings: Control the position, size, and color options of the trend signal table for improved visibility and integration with your chart layout.
Use Case This indicator is ideal for traders who employ a multi-timeframe approach to confirm trends and filter entries. By monitoring the relative positions of EMA 50 and EMA 200 across various timeframes, traders can get a quick snapshot of trend strength and direction, aiding in informed trading decisions.
Sash Trending Suite NEWWhy
The " Sash Trending Suite " (STS) indicator simplifies trading by highlighting market trends and potential reversals. In a world of complex charts and overwhelming data, STS helps traders quickly understand market direction and make informed decisions.
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How and What
STS combines key technical tools into one easy-to-read indicator, directly showing important signals on the chart:
Macro Trend Detection
How : Uses two EMAs (fast and slow) and the ADX to identify strong bullish or bearish trends.
What to Look For :
Bar Colors :
Green Bars : Indicate a strong upward (bullish) trend.
Red Bars : Indicate a strong downward (bearish) trend.
Benefit : Quickly see the overall market direction.
Alpha Track Line
How : An adaptive EMA that acts as a dynamic support or resistance line.
What to Look For :
Line Colors :
Green Line : Price is above the line (bullish momentum).
Red Line : Price is below the line (bearish momentum).
Benefit : Visualize momentum shifts easily.
Reversal Signals
How : Combines RSI with price action to spot potential market reversals.
What to Look For :
"R" Labels :
Turquoise "R" Below Bar : Potential bullish reversal.
Amber "R" Above Bar : Potential bearish reversal.
Benefit : Identify possible turning points for entry or exit.
Micro Trend Detection
How : Uses shorter EMAs to catch minor trend changes.
What to Look For :
Small Circles :
Green Circle Below Bar : Micro bullish signal.
Red Circle Above Bar : Micro bearish signal.
Benefit : Spot short-term trend shifts promptly.
Alerts
How : Built-in alerts notify you of key events.
What to Expect :
Trend Changes : Alerts when a new bullish or bearish trend starts.
Reversals : Alerts for potential bullish or bearish reversals.
Benefit : Stay updated without constantly watching the chart.
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Summary
The "Sash Trending Suite" provides:
Simplified Analysis : One indicator shows trend direction, momentum, reversals, and micro trends.
Clear Visuals : Color-coded bars and symbols make interpretation easy.
Timely Alerts : Know about important market changes instantly.
By focusing on essential signals and displaying them clearly, STS helps traders navigate the market with confidence and simplicity.
Moving Average ADX with Alerts# Moving Average ADX (MA ADX) Indicator
## Overview
The Moving Average ADX combines a weighted moving average (WMA) with ADX (Average Directional Index) momentum to create a dynamic, trend-following indicator. The indicator's line changes color based on the ADX strength and directional movement, helping traders identify strong trends and potential reversals.
## Key Features
- Color-changing WMA line based on ADX strength and direction
- Built-in alerts for trend changes
- Customizable ADX and moving average parameters
- Overlay indicator that plots directly on the price chart
## Color Signals
- **Green Line**: Strong bullish trend (ADX > threshold with +DI > -DI)
- **Red Line**: Strong bearish trend (ADX > threshold with -DI > +DI)
- **Black Line**: Weak or no trend (ADX < threshold)
## Parameters
- **DI Length**: Period for calculating Directional Movement (default: 14)
- **ADX Smoothing**: Smoothing period for ADX calculation (default: 14)
- **ADX MA Active**: Threshold for ADX to consider a trend strong (default: 18)
- **Length**: Period for the Weighted Moving Average (default: 34)
- **Source**: Price source for calculations (default: close)
## Trading Applications
1. **Trend Identification**
- Green line suggests riding bullish trends
- Red line suggests riding bearish trends
- Black line suggests ranging or weak trend conditions
2. **Entry Signals**
- Color changes from black to green: Potential bullish entry
- Color changes from black to red: Potential bearish entry
3. **Exit Signals**
- Color changes from green to black or red: Consider exiting longs
- Color changes from red to black or green: Consider exiting shorts
## Alert Functions
The indicator includes two built-in alerts:
1. Bullish Signal: Triggers when the indicator turns bullish (green)
2. Bearish Signal: Triggers when the indicator turns bearish (red)
## Best Practices
- Use in conjunction with other technical analysis tools
- Consider the overall market context
- Wait for confirmation of color changes before taking action
- Use appropriate position sizing and risk management
Fibonacci Moving Average PlusFibonacci Moving Average Plus is a sophisticated technical indicator that employs the first 15 numbers of the Fibonacci sequence to create dynamic moving average channels. This indicator aims to capture both immediate and long-term price movements by calculating Exponential Moving Averages (EMAs) based on these Fibonacci values. By using Fibonacci-based moving averages for both high and low price points, the indicator generates a visual channel that reflects the ebb and flow of market trends, acting as potential zones of support and resistance. Additionally, the indicator provides midline, retracement, and extension levels rooted in Fibonacci ratios, which are frequently observed as key levels for reversals or trend continuation.
Ideology Behind Using Fibonacci Sequence-Based Moving Averages
The Fibonacci sequence, known for its mathematical harmony and prevalence in natural patterns, is widely utilized in technical analysis to identify potential turning points in markets. In this indicator, the first 15 Fibonacci numbers (5, 8, 13, 21, etc.) are used as the lookback periods for EMAs to capture different layers of market sentiment. These moving averages represent timeframes that are theoretically in alignment with the natural rhythms of market cycles, where key levels—often coinciding with Fibonacci numbers—can act as magnetic points for price.
The Fibonacci high and low channels aim to encapsulate price action, giving traders a sense of whether the market is trending, consolidating, or experiencing reversal pressure. These levels, grounded in both mathematics and market psychology, help traders spot areas where price might face resistance or find support.
Key Features
Fibonacci Moving Average High and Low: This indicator calculates the high and low EMAs based on Fibonacci sequence numbers (e.g., 5, 8, 13, etc.) for enhanced trend analysis.
Golden Pocket Retracement (GPR) and Extension (GPE) Bands: Displays common Fibonacci retracement and extension levels (0.618, 0.65 for retracement, and 1.618, 1.65 for extension).
Midline: Plots the average of the Fibonacci high and low to act as an additional reference level.
Stop-Loss Levels: Provides suggested stop-loss levels based on Fibonacci levels for both long and short positions.
Basic User Guide
Adjust Input Settings:
Input Timeframe: Set a specific timeframe for the Fibonacci moving average calculation, separate from the chart's primary timeframe.
Show Fibonacci MA High/Low: Toggle the visibility of the high and low Fibonacci moving averages.
Show Mid Line: Display a midline for added trend reference.
Show Golden Pocket Bands: Choose to display retracement or extension bands for potential support or resistance zones.
Show Stop-Loss Levels: Enable to visualize potential stop-loss levels for both long and short trades.
Interpretation:
Fibonacci MA High and Low: Use these lines to gauge the general trend. When the price is above both, it may indicate an uptrend; below both, a downtrend.
Golden Pocket Retracement: This zone (between 0.618 and 0.65) is often a key level for potential reversals or support/resistance.
Golden Pocket Extension: The 1.618 and 1.65 levels can indicate potential profit-taking or trend exhaustion points.
Stop-Loss Levels: The calculated stop-loss levels (long SL below and short SL above) can aid in risk management.
Customization:
You can customize the appearance and visibility of each component through the input settings to fit your specific strategy and visual preferences.
This indicator should be used alongside other technical analysis tools to provide a more comprehensive trading approach.
This Indicator would not exist without the original contributions and blessing from Sofien Kaabar
CBBS Suite [KFB Quant]CBBS Suite
The CBBS Suite is a specialized technical indicator that aggregates central bank balance sheet (CBBS) data from major global economies (US, EU, China, and Japan) and analyzes the data to assist with trend-following strategies. By using CBBS data as an economic signal, this tool provides insights into long and short trading opportunities based on macroeconomic changes.
Functionality :
The CBBS Suite aggregates central bank balance sheets, converting the combined data into percentage changes over multiple timeframes (30–360 days). It then calculates average scores to highlight the direction and strength of the CBBS trend, with customizable smoothing options for precision.
Signal Modes :
Users can select from three modes for optimal customization:
Standard – Displays unsmoothed trend signals.
Smoothed – Applies a smoothing function for clearer signal representation.
Combined – Shows both standard and smoothed signals for a comprehensive view
Indicator Features :
Thresholds : Customize long and short entry points based on score thresholds and percentage change limits.
Signal Smoothing : Choose from EMA, SMA, or WMA for trend smoothing, with adjustable lengths for greater flexibility.
Visuals : Background color coding for long and short zones and up/down triangles on chart bars to clearly identify long and short signals.
Limitations :
As with any indicator, CBBS Suite should be used as part of a broader trading strategy. It doesn’t predict future movements but instead reflects central bank activity trends.
This indicator is designed to add value to the TradingView community by providing unique macroeconomic insights based on central bank data trends. It’s a valuable tool for users looking to incorporate CBBS data into their technical analysis toolkit.
Disclaimer: This tool is provided for informational and educational purposes only and should not be considered as financial advice. Always conduct your own research and consult with a licensed financial advisor before making any investment decisions.
Chaikin DivergenceOverview
The Chaikin Divergence is a powerful technical indicator designed to enhance the traditional Chaikin Oscillator by incorporating divergence detection between the oscillator and price action. This advanced tool not only plots the Chaikin Oscillator but also identifies and highlights bullish and bearish divergences, providing traders with valuable insights into potential trend reversals and momentum shifts.
Key Features
Chaikin Oscillator Plotting: Visual representation of the Chaikin Oscillator, aiding in the analysis of market momentum based on volume and price.
Divergence Detection:
Bullish Divergence: Indicates potential upward reversals when price forms lower lows while the oscillator forms higher lows.
Bearish Divergence: Signals possible downward reversals when price creates higher highs while the oscillator forms lower highs.
Customizable Settings:
Fast Length & Slow Length: Adjust the periods for the Exponential Moving Averages (EMA) used in the oscillator calculation.
Pivot Detection Parameters: Define the sensitivity of pivot high and pivot low detection with adjustable left and right bars.
Bars Lookback for Divergence: Set the number of bars to look back for identifying divergences.
Color Customization: Choose distinct colors for bullish and bearish divergence labels to match your trading preferences.
Visual Indicators:
Divergence Labels: Clear and distinct labels (arrows or dots) on the chart indicating the type and location of divergences.
Zero Line: A dashed zero line to reference the oscillator’s crossing points.
Chaikin Oscillator Calculation:
The indicator calculates the Chaikin Oscillator by subtracting the slow EMA of the Accumulation/Distribution Line (ta.accdist) from the fast EMA.
This oscillates around the zero line, indicating buying and selling pressure.
Pivot Detection:
Utilizes ta.pivothigh and ta.pivotlow functions to identify significant pivot points in price action. These pivot points serve as reference points for divergence analysis.
Divergence Identification:
Bullish Divergence: Detected when a recent pivot low in price is lower than the previous pivot low, while the corresponding oscillator value is higher than the previous oscillator pivot.
Bearish Divergence: Identified when a recent pivot high in price is higher than the previous pivot high, but the oscillator value is lower than the previous oscillator pivot.
Label Plotting:
When a divergence is detected, the indicator plots a label (arrow or dot) on the chart at the pivot point, signaling the type of divergence.
Adding the Indicator:
Open TradingView and navigate to the chart where you want to apply the indicator.
Open the Pine Editor, paste the Chaikin Oscillator with Divergences script, and add it to your chart.
Configuring Settings:
Fast Length & Slow Length: Adjust these to modify the sensitivity of the Chaikin Oscillator. Shorter periods make the oscillator more responsive to price changes.
Left Bars for Pivots & Right Bars for Pivots: Define how many bars to the left and right are considered when identifying pivot points. Increasing these values makes pivot detection less sensitive.
Bars Lookback for Divergence: Set how far back the indicator should search for previous pivot points when identifying divergences. A higher value allows detection over a longer timeframe.
Bullish/Bearish Divergence Colors: Choose colors that stand out against your chart background for easy identification of divergence signals.
Interpreting Signals:
Bullish Divergence Labels: Appear when there's a potential upward reversal, signaling a possible buying opportunity.
Bearish Divergence Labels: Show up when a downward reversal might be imminent, indicating a possible selling opportunity.
Oscillator Crosses Zero: Pay attention to when the oscillator crosses the zero line, as this can also signal changes in momentum.
Combining with Other Indicators:
For enhanced trading strategies, combine divergence signals with other technical indicators or chart patterns to confirm potential trade setups.
ICT Setup 03 [TradingFinder] Judas Swing NY 9:30am + CHoCH/FVG🔵 Introduction
Judas Swing is an advanced trading setup designed to identify false price movements early in the trading day. This advanced trading strategy operates on the principle that major market players, or "smart money," drive price in a certain direction during the early hours to mislead smaller traders.
This deceptive movement attracts liquidity at specific levels, allowing larger players to execute primary trades in the opposite direction, ultimately causing the price to return to its true path.
The Judas Swing setup functions within two primary time frames, tailored separately for Forex and Stock markets. In the Forex market, the setup uses the 8:15 to 8:30 AM window to identify the high and low points, followed by the 8:30 to 8:45 AM frame to execute the Judas move and identify the CISD Level break, where Order Block and Fair Value Gap (FVG) zones are subsequently detected.
In the Stock market, these time frames shift to 9:15 to 9:30 AM for identifying highs and lows and 9:30 to 9:45 AM for executing the Judas move and CISD Level break.
Concepts such as Order Block and Fair Value Gap (FVG) are crucial in this setup. An Order Block represents a chart region with a high volume of buy or sell orders placed by major financial institutions, marking significant levels where price reacts.
Fair Value Gap (FVG) refers to areas where price has moved rapidly without balance between supply and demand, highlighting zones of potential price action and future liquidity.
Bullish Setup :
Bearish Setup :
🔵 How to Use
The Judas Swing setup enables traders to pinpoint entry and exit points by utilizing Order Block and FVG concepts, helping them align with liquidity-driven moves orchestrated by smart money. This setup applies two distinct time frames for Forex and Stocks to capture early deceptive movements, offering traders optimized entry or exit moments.
🟣 Bullish Setup
In the Bullish Judas Swing setup, the first step is to identify High and Low points within the initial time frame. These levels serve as key points where price may react, forming the basis for analyzing the setup and assisting traders in anticipating future market shifts.
In the second time frame, a critical stage of the bullish setup begins. During this phase, the price may create a false break or Fake Break below the low level, a deceptive move by major players to absorb liquidity. This false move often causes smaller traders to enter positions incorrectly. After this fake-out, the price reverses upward, breaking the CISD Level, a critical point in the market structure, signaling a potential bullish trend.
Upon breaking the CISD Level and reversing upward, the indicator identifies both the Order Block and Fair Value Gap (FVG). The Order Block is an area where major players typically place large buy orders, signaling potential price support. Meanwhile, the FVG marks a region of supply-demand imbalance, signaling areas where price might react.
Ultimately, after these key zones are identified, a trader may open a buy position if the price reaches one of these critical areas—Order Block or FVG—and reacts positively. Trading at these levels enhances the chance of success due to liquidity absorption and support from smart money, marking an opportune time for entering a long position.
🟣 Bearish Setup
In the Bearish Judas Swing setup, analysis begins with marking the High and Low levels in the initial time frame. These levels serve as key zones where price could react, helping to signal possible trend reversals. Identifying these levels is essential for locating significant bearish zones and positioning traders to capitalize on downward movements.
In the second time frame, the primary bearish setup unfolds. During this stage, price may exhibit a Fake Break above the high, causing a brief move upward and misleading smaller traders into incorrect positions. After this false move, the price typically returns downward, breaking the CISD Level—a crucial bearish trend indicator.
With the CISD Level broken and a bearish trend confirmed, the indicator identifies the Order Block and Fair Value Gap (FVG). The Bearish Order Block is a region where smart money places significant sell orders, prompting a negative price reaction. The FVG denotes an area of supply-demand imbalance, signifying potential selling pressure.
When the price reaches one of these critical areas—the Bearish Order Block or FVG—and reacts downward, a trader may initiate a sell position. Entering trades at these levels, due to increased selling pressure and liquidity absorption, offers traders an advantage in profiting from price declines.
🔵 Settings
Market : The indicator allows users to choose between Forex and Stocks, automatically adjusting the time frames for the "Opening Range" and "Trading Permit" accordingly: Forex: 8:15–8:30 AM for identifying High and Low points, and 8:30–8:45 AM for capturing the Judas move and CISD Level break. Stocks: 9:15–9:30 AM for identifying High and Low points, and 9:30–9:45 AM for executing the Judas move and CISD Level break.
Refine Order Block : Enables finer adjustments to Order Block levels for more accurate price responses.
Mitigation Level OB : Allows users to set specific reaction points within an Order Block, including: Proximal: Closest level to the current price. 50% OB: Midpoint of the Order Block. Distal: Farthest level from the current price.
FVG Filter : The Judas Swing indicator includes a filter for Fair Value Gap (FVG), allowing different filtering based on FVG width: FVG Filter Type: Can be set to "Very Aggressive," "Aggressive," "Defensive," or "Very Defensive." Higher defensiveness narrows the FVG width, focusing on narrower gaps.
Mitigation Level FVG : Like the Order Block, you can set price reaction levels for FVG with options such as Proximal, 50% OB, and Distal.
CISD : The Bar Back Check option enables traders to specify the number of past candles checked for identifying the CISD Level, enhancing CISD Level accuracy on the chart.
🔵 Conclusion
The Judas Swing indicator helps traders spot reliable trading opportunities by detecting false price movements and key levels such as Order Block and FVG. With a focus on early market movements, this tool allows traders to align with major market participants, selecting entry and exit points with greater precision, thereby reducing trading risks.
Its extensive customization options enable adjustments for various market types and trading conditions, giving traders the flexibility to optimize their strategies. Based on ICT techniques and liquidity analysis, this indicator can be highly effective for those seeking precision in their entry points.
Overall, Judas Swing empowers traders to capitalize on significant market movements by leveraging price volatility. Offering precise and dependable signals, this tool presents an excellent opportunity for enhancing trading accuracy and improving performance
CAGR ProjectionThe CAGR Projection Indicator is a tool designed to visualize the potential growth of an asset over time based on a specified annual growth rate. This indicator overlays a projection line on the price chart, allowing traders and investors to compare actual price movements with a hypothetical growth trajectory.
One of the key features of this indicator is the ability for users to input their expected annual growth rate as a percentage. This flexibility allows for various scenarios to be modeled, from conservative estimates to more optimistic projections. Additionally, the indicator allows users to set a specific start date for the projection, enabling analysis from any chosen point in time.
The projection calculation is dynamic, adjusting for different timeframes and updating with each new bar on the chart. The indicator initializes either at the specified start date or when the first valid price is encountered. Using the initial price as a base, the indicator calculates the projected price for each subsequent bar using the compound growth formula. The calculation accounts for the specific timeframe of the chart, ensuring accurate projections regardless of whether the chart displays daily, weekly, or other intervals.
The projected growth is plotted as a blue line on the chart, providing a clear visual comparison between the actual price movement and the hypothetical growth trajectory. This visual representation makes it easy for users to quickly assess how an asset is performing relative to the expected growth rate.
This tool has several practical applications. Investors can use it to set realistic growth targets for their investments. By comparing actual price movements to the projection line, users can quickly assess if an asset is outperforming or underperforming relative to the expected growth rate. Furthermore, multiple instances of the indicator can be used with different growth rates to visualize various potential outcomes, facilitating scenario analysis.
The indicator also offers customization options, such as displaying a label showing the annual growth rate used for the projection, and the ability to adjust the color of the projection line to suit individual preferences or chart setups.
In summary, this CAGR Projection indicator serves as a valuable tool for both long-term investors and traders, offering a simple yet effective way to visualize potential growth scenarios and assess investment performance over time. It combines ease of use with powerful analytical capabilities, making it a useful addition to any trader's or investor's toolkit.
War IndexIntroduction
Welcome to the War Index! This project aims to provide traders, investors, and analysts with a specialized financial indicator that tracks the performance of key defense and aerospace companies. By aggregating the percentage changes of selected stocks, the War Index offers insights into the defense sector's dynamics and its relationship with the broader market.
What is the War Index?
The War Index is a custom financial indicator designed to approximate the collective performance of major defense and aerospace companies. It aggregates the daily percentage changes of selected stocks within the defense sector to provide a singular metric that reflects the overall health and trends of this industry. Additionally, the index is compared against the S&P 500 (SPX) to contextualize its performance relative to the broader market.
Index Components
The War Index comprises the following 16 stocks, each representing a significant player in the defense and aerospace industries:
Lockheed Martin Corporation ( NYSE:LMT )
Northrop Grumman Corporation ( NYSE:NOC )
Boeing Company ( NYSE:BA )
Raytheon Technologies Corporation ( NYSE:RTX )
General Dynamics Corporation ( NYSE:GD )
BAE Systems plc ( OTC:BAESY )
L3Harris Technologies, Inc. ( NYSE:LHX )
Textron Inc. ( NYSE:TXT )
Huntington Ingalls Industries, Inc. ( NYSE:HII )
Oshkosh Corporation ( NYSE:OSK )
Leidos Holdings, Inc. ( NYSE:LDOS )
Kratos Defense & Security Solutions, Inc. ( NASDAQ:KTOS )
Spirit AeroSystems Holdings, Inc. ( NYSE:SPR )
Parsons Corporation ( NYSE:PSN )
CACI International Inc ( NYSE:CACI )
ViaSat, Inc. ( NASDAQ:VSAT )
Purpose of the War Index
The War Index serves several key purposes:
Sector Performance Tracking : By aggregating the performance of major defense and aerospace companies, the index provides a clear picture of the sector's overall health.
Investment Analysis : Investors can use the index to identify trends, evaluate sector strength, and make informed decisions regarding their portfolios.
Comparative Benchmarking : Comparing the War Index with broader market indices like the S&P 500 helps in understanding how the defense sector performs relative to the general market.
Disclaimer: This War Index is an approximated indicator intended for informational purposes only. It should not be construed as investment advice. Always conduct your own research or consult with a financial advisor before making investment decisions.
Multifactor Buy/Sell Strategy V2 | RSI, MACD, ATR, EMA, Boll.BITGET:1INCHUSDT
This Pine Script code for TradingView is a multifactor Buy/Sell indicator that combines several technical factors to generate trading signals based on trend, volatility, and volume conditions. Here’s a breakdown of the main components and functionality:
Indicator Name
- Multifactor Buy/Sell Strategy V2 — an overlay indicator applied directly on the price chart.
### Input Parameters
The script includes multiple customizable parameters:
- RSI, EMA, MACD parameters — for setting periods and signals of MACD and RSI.
- ATR and Bollinger Bands — used for volatility analysis and level determination.
- Minimum Volatility Threshold — sets a minimum Bollinger Band width threshold for determining high volatility.
Core Indicators
1. RSI — calculated to identify oversold (below 30) and overbought (above 70) conditions.
2. EMA and MACD — calculates exponential moving averages and MACD histogram to determine trend direction.
3. ATR and Bollinger Bands — used to assess current volatility and establish dynamic upper and lower bands.
Volatility and Volume Analysis
- Determines the current ATR level and Bollinger Band width to evaluate high volatility.
- Calculates the volume moving average to track periods of increased volume during high volatility.
Trend Analysis
The script uses the difference between fast and slow EMAs to define strong trends:
- Uptrend — when the fast EMA is above the slow EMA, the price is above the fast EMA, and the trend is strong.
- Downtrend — when the fast EMA is below the slow EMA, the price is below the fast EMA, and the trend is strong.
Momentum Filter
- Based on the price change over the last three bars and compared against the minimum volatility threshold to identify strong momentum.
Buy and Sell Signal Generation
- Buy Signal: Uptrend with RSI oversold, positive MACD histogram, high volatility and volume, strong momentum, and sufficient Bollinger Band width.
- Sell Signal: Downtrend with RSI overbought, negative MACD histogram, high volatility and volume, strong momentum, and sufficient Bollinger Band width.
Visualization
- Buy and sell signals are displayed as green and red triangles on the chart.
- Plots for fast and slow EMAs, upper and lower bands, and Bollinger Bands.
Alerts
The script includes alert conditions for buy and sell signals, allowing notifications to be sent via email or mobile app.
Information Panel
A small table on the chart displays current volatility dataThis Pine Script code for TradingView is a multifactor Buy/Sell indicator that combines several technical factors to generate trading signals based on trend, volatility, and volume conditions. Here’s a breakdown of the main components and functionality:
Indicator Name
- Multifactor Buy/Sell Strategy V2 — an overlay indicator applied directly on the price chart.
Input Parameters
The script includes multiple customizable parameters:
- **RSI, EMA, MACD parameters** — for setting periods and signals of MACD and RSI.
- **ATR and Bollinger Bands** — used for volatility analysis and level determination.
- **Minimum Volatility Threshold** — sets a minimum Bollinger Band width threshold for determining high volatility.
Core Indicators
1. RSI — calculated to identify oversold (below 30) and overbought (above 70) conditions.
2. EMA and MACD — calculates exponential moving averages and MACD histogram to determine trend direction.
3. ATR and Bollinger Bands — used to assess current volatility and establish dynamic upper and lower bands.
Volatility and Volume Analysis
- Determines the current ATR level and Bollinger Band width to evaluate high volatility.
- Calculates the volume moving average to track periods of increased volume during high volatility.
Trend Analysis
The script uses the difference between fast and slow EMAs to define strong trends:
- Uptrend — when the fast EMA is above the slow EMA, the price is above the fast EMA, and the trend is strong.
- Downtrend — when the fast EMA is below the slow EMA, the price is below the fast EMA, and the trend is strong.
Momentum Filter
- Based on the price change over the last three bars and compared against the minimum volatility threshold to identify strong momentum.
Buy and Sell Signal Generation
- Buy Signal: Uptrend with RSI oversold, positive MACD histogram, high volatility and volume, strong momentum, and sufficient Bollinger Band width.
- Sell Signal: Downtrend with RSI overbought, negative MACD histogram, high volatility and volume, strong momentum, and sufficient Bollinger Band width.
Visualization
- Buy and sell signals are displayed as green and red triangles on the chart.
- Plots for fast and slow EMAs, upper and lower bands, and Bollinger Bands.
Alerts
The script includes alert conditions for buy and sell signals, allowing notifications to be sent via email or mobile app.
Information Panel
A small table on the chart displays current volatility
- Volatility Status — indicates high or low volatility.
- Bollinger Band Width — current width as a percentage.
- ATR Ratio — ratio of current ATR to long-term average ATR.
This script is suitable for trading in high-volatility conditions, combining multiple filters and factors to generate precise buy and sell signals.
Percentile Momentum IndicatorInput Parameters:
lengthPercentile: Defines the period used to calculate the percentile values (default: 30).
lengthMomentum: Defines the period for calculating the Rate of Change (ROC) momentum (default: 10).
Core Logic:
Rate of Change (ROC): The script calculates the ROC of the closing price over the specified period (lengthMomentum).
Percentile Calculations: The script calculates two key percentiles:
percentile_upper (80th percentile of the high prices)
percentile_lower (20th percentile of the low prices)
Percentile Average: An average of the upper and lower percentiles is calculated (avg_percentile).
Trade Signals:
Buy Signal: Triggered when the ROC is positive, the close is above the percentile_lower, and the close is above the avg_percentile.
Sell Signal: Triggered when the ROC is negative, the close is below the percentile_upper, and the close is below the avg_percentile.
Trade State Management:
The script uses a binary state: 1 for long (buy) and -1 for short (sell).
The trade state is updated based on buy or sell signals.
Bar Coloring:
Bars are colored dynamically based on the trade state:
Green for long (buy signal).
Red for short (sell signal).
The same color is applied to the percentile and average percentile lines for visual consistency.
Exposure Oscillator (Cumulative 0 to ±100%)
Exposure Oscillator (Cumulative 0 to ±100%)
This Pine Script indicator plots an "Exposure Oscillator" on the chart, which tracks the cumulative market exposure from a range of technical buy and sell signals. The exposure is measured on a scale from -100% (maximum short exposure) to +100% (maximum long exposure), helping traders assess the strength of their position in the market. It provides an intuitive visual cue to aid decision-making for trend-following strategies.
Buy Signals (Increase Exposure Score by +10%)
Buy Signal 1 (Cross Above 21 EMA):
This signal is triggered when the price crosses above the 21-period Exponential Moving Average (EMA), where the current bar closes above the EMA21, and the previous bar closed below the EMA21. This indicates a potential upward price movement as the market shifts into a bullish trend.
buySignal1 = ta.crossover(close, ema21)
Buy Signal 2 (Trending Above 21 EMA):
This signal is triggered when the price closes above the 21-period EMA for each of the last 5 bars, indicating a sustained bullish trend. It confirms that the price is consistently above the EMA21 for a significant period.
buySignal2 = ta.barssince(close <= ema21) > 5
Buy Signal 3 (Living Above 21 EMA):
This signal is triggered when the price has closed above the 21-period EMA for each of the last 15 bars, demonstrating a strong, prolonged uptrend.
buySignal3 = ta.barssince(close <= ema21) > 15
Buy Signal 4 (Cross Above 50 SMA):
This signal is triggered when the price crosses above the 50-period Simple Moving Average (SMA), where the current bar closes above the 50 SMA, and the previous bar closed below it. It indicates a shift toward bullish momentum.
buySignal4 = ta.crossover(close, sma50)
Buy Signal 5 (Cross Above 200 SMA):
This signal is triggered when the price crosses above the 200-period Simple Moving Average (SMA), where the current bar closes above the 200 SMA, and the previous bar closed below it. This suggests a long-term bullish trend.
buySignal5 = ta.crossover(close, sma200)
Buy Signal 6 (Low Above 50 SMA):
This signal is true when the lowest price of the current bar is above the 50-period SMA, indicating strong bullish pressure as the price maintains itself above the moving average.
buySignal6 = low > sma50
Buy Signal 7 (Accumulation Day):
An accumulation day occurs when the closing price is in the upper half of the daily range (greater than 50%) and the volume is larger than the previous bar's volume, suggesting buying pressure and accumulation.
buySignal7 = (close - low) / (high - low) > 0.5 and volume > volume
Buy Signal 8 (Higher High):
This signal occurs when the current bar’s high exceeds the highest high of the previous 14 bars, indicating a breakout or strong upward momentum.
buySignal8 = high > ta.highest(high, 14)
Buy Signal 9 (Key Reversal Bar):
This signal is generated when the stock opens below the low of the previous bar but rallies to close above the previous bar’s high, signaling a potential reversal from bearish to bullish.
buySignal9 = open < low and close > high
Buy Signal 10 (Distribution Day Fall Off):
This signal is triggered when a distribution day (a day with high volume and a close near the low of the range) "falls off" the rolling 25-bar period, indicating the end of a bearish trend or selling pressure.
buySignal10 = ta.barssince(close < sma50 and close < sma50) > 25
Sell Signals (Decrease Exposure Score by -10%)
Sell Signal 1 (Cross Below 21 EMA):
This signal is triggered when the price crosses below the 21-period Exponential Moving Average (EMA), where the current bar closes below the EMA21, and the previous bar closed above it. It suggests that the market may be shifting from a bullish trend to a bearish trend.
sellSignal1 = ta.crossunder(close, ema21)
Sell Signal 2 (Trending Below 21 EMA):
This signal is triggered when the price closes below the 21-period EMA for each of the last 5 bars, indicating a sustained bearish trend.
sellSignal2 = ta.barssince(close >= ema21) > 5
Sell Signal 3 (Living Below 21 EMA):
This signal is triggered when the price has closed below the 21-period EMA for each of the last 15 bars, suggesting a strong downtrend.
sellSignal3 = ta.barssince(close >= ema21) > 15
Sell Signal 4 (Cross Below 50 SMA):
This signal is triggered when the price crosses below the 50-period Simple Moving Average (SMA), where the current bar closes below the 50 SMA, and the previous bar closed above it. It indicates the start of a bearish trend.
sellSignal4 = ta.crossunder(close, sma50)
Sell Signal 5 (Cross Below 200 SMA):
This signal is triggered when the price crosses below the 200-period Simple Moving Average (SMA), where the current bar closes below the 200 SMA, and the previous bar closed above it. It indicates a long-term bearish trend.
sellSignal5 = ta.crossunder(close, sma200)
Sell Signal 6 (High Below 50 SMA):
This signal is true when the highest price of the current bar is below the 50-period SMA, indicating weak bullishness or a potential bearish reversal.
sellSignal6 = high < sma50
Sell Signal 7 (Distribution Day):
A distribution day is identified when the closing range of a bar is less than 50% and the volume is larger than the previous bar's volume, suggesting that selling pressure is increasing.
sellSignal7 = (close - low) / (high - low) < 0.5 and volume > volume
Sell Signal 8 (Lower Low):
This signal occurs when the current bar's low is less than the lowest low of the previous 14 bars, indicating a breakdown or strong downward momentum.
sellSignal8 = low < ta.lowest(low, 14)
Sell Signal 9 (Downside Reversal Bar):
A downside reversal bar occurs when the stock opens above the previous bar's high but falls to close below the previous bar’s low, signaling a reversal from bullish to bearish.
sellSignal9 = open > high and close < low
Sell Signal 10 (Distribution Cluster):
This signal is triggered when a distribution day occurs three times in the rolling 7-bar period, indicating significant selling pressure.
sellSignal10 = ta.valuewhen((close < low) and volume > volume , 1, 7) >= 3
Theme Mode:
Users can select the theme mode (Auto, Dark, or Light) to match the chart's background or to manually choose a light or dark theme for the oscillator's appearance.
Exposure Score Calculation: The script calculates a cumulative exposure score based on a series of buy and sell signals.
Buy signals increase the exposure score, while sell signals decrease it. Each signal impacts the score by ±10%.
Signal Conditions: The buy and sell signals are derived from multiple conditions, including crossovers with moving averages (EMA21, SMA50, SMA200), trend behavior, and price/volume analysis.
Oscillator Visualization: The exposure score is visualized as a line on the chart, changing color based on whether the exposure is positive (long position) or negative (short position). It is limited to the range of -100% to +100%.
Position Type: The indicator also indicates the position type based on the exposure score, labeling it as "Long," "Short," or "Neutral."
Horizontal Lines: Reference lines at 0%, 100%, and -100% visually mark neutral, increasing long, and increasing short exposure levels.
Exposure Table: A table displays the current exposure level (in percentage) and position type ("Long," "Short," or "Neutral"), updated dynamically based on the oscillator’s value.
Inputs:
Theme Mode: Choose "Auto" to use the default chart theme, or manually select "Dark" or "Light."
Usage:
This oscillator is designed to help traders track market sentiment, gauge exposure levels, and manage risk. It can be used for long-term trend-following strategies or short-term trades based on moving average crossovers and volume analysis.
The oscillator operates in conjunction with the chart’s price action and provides a visual representation of the market’s current trend strength and exposure.
Important Considerations:
Risk Management: While the exposure score provides valuable insight, it should be combined with other risk management tools and analysis for optimal trading decisions.
Signal Sensitivity: The accuracy and effectiveness of the signals depend on market conditions and may require adjustments based on the user’s trading strategy or timeframe.
Disclaimer:
This script is for educational purposes only. Trading involves significant risk, and users should carefully evaluate all market conditions and apply appropriate risk management strategies before using this tool in live trading environments.
Dollar Cost Averaging (YavuzAkbay)The Dollar Cost Averaging (DCA) indicator is designed to support long-term investors following a Dollar Cost Averaging strategy. The core aim of this tool is to provide insights into overbought and oversold levels, assisting investors in managing buy and sell decisions with a clear visual cue system. Specifically developed for use in trending or fluctuating markets, this indicator leverages support and resistance levels to give structure to investors' buying strategies. Here’s a detailed breakdown of the indicator’s key features and intended usage:
Key Features and Color Coding
Overbought/Oversold Detection:
The indicator shades candles from light green to dark green when an asset becomes increasingly overbought. Dark green signals indicate a peak, where the asset is overbought, suggesting a potential opportunity to take partial profits.
Conversely, candles turn from light red to dark red when the market is oversold. Dark red signifies a heavily oversold condition, marking an ideal buying window for initiating or adding to a position. This color scheme provides a quick visual reference for investors to manage entries and exits effectively.
Support and Resistance Levels:
To address the risk of assets falling further after an overbought signal, the DCA indicator dynamically calculates support and resistance levels. These levels guide investors on key price areas to watch for potential price reversals, allowing them to make more informed buying or selling decisions.
Support levels help investors assess whether they should divide their capital across multiple buy orders, starting at the current oversold zone and extending to anticipated support zones for maximum flexibility.
Usage Methodology
This indicator is intended for Dollar Cost Averaging, a method where investors gradually add to their position rather than entering all at once. Here’s how it complements the DCA approach:
Buy at Oversold Levels: When the indicator shows a dark red candle, it signals that the asset is oversold, marking an optimal entry point. The presence of support levels can help investors determine if they should fully invest their intended amount or stagger buys at potential lower levels.
Sell at Overbought Levels: When the indicator transitions to dark green, it suggests that the asset is overbought. This is an ideal time to consider selling a portion of holdings to realize gains. The resistance levels, marked by the indicator, offer guidance on where the price may encounter selling pressure, aiding investors in planning partial exits.
Customizable Settings
The DCA indicator offers several user-adjustable parameters:
Pivot Frequency and Source: Define the pivot point frequency and the source (candle wick or body) for more tailored support/resistance detection.
Maximum Pivot Points: Set the maximum number of pivot points to be used in support/resistance calculations, providing flexibility in adapting to different market structures.
Channel Width and Line Width: Adjust the width of the channel for support/resistance levels and the thickness of the lines for easier visual tracking.
Color Intensities for Overbought/Oversold Levels: Customize the shading intensity for each overbought and oversold level to align with your trading preferences.
Optimus trader Optimus Trader
Indicator Description:
The Optimus Trader indicator is designed for technical traders looking for entry and exit points in financial markets. It combines signals based on volume, moving averages, VWAP (Volume Weighted Average Price), as well as the recognition of candlestick patterns such as Pin Bar and Inside Bars. This indicator helps identify opportune moments to buy or sell based on trends, volumes, and recent liquidity zones.
Parameters and Features:
1. Simple Moving Average (MA) and VWAP:
- Optimus Trader uses a 50-period simple moving average to determine the underlying trend. It also includes VWAP for precise price analysis based on traded volumes.
- These two indicators help identify whether the market is in an uptrend or downtrend, enhancing the reliability of buy and sell signals.
2. Volume :
- To avoid false signals, a volume threshold is set using a 20-period moving average, adjusted to 1.2 times the average volume. This filters signals by considering only high-volume periods, indicating heightened market interest.
3. Candlestick Pattern Recognition:
- Pin Bar: This sought-after candlestick pattern is detected for both bullish and bearish setups. A bullish or bearish *Pin Bar* often signals a possible reversal or continuation.
- *Inside Bar*: This price compression pattern is also detected, indicating a zone of indecision before a potential movement.
4. Trend:
- An uptrend is confirmed when the price is above the MA and VWAP, while a downtrend is identified when the price is below both indicators.
5. Liquidity Zones:
- Optimus Trader includes an approximate liquidity zone detection feature. By identifying recent support and resistance levels, the indicator detects if the price is near these zones. This feature strengthens the relevance of buy or sell signals.
6. Buy and Sell Signals:
- Buy: A buy signal is generated when the indicator detects a bullish *Pin Bar* or *Inside Bar* in an uptrend with high volume, and the price is close to a liquidity zone.
- Sell: A sell signal is generated when a bearish *Pin Bar* or *Inside Bar* is detected in a downtrend with high volume, and the price is near a liquidity zone.
Signal Display:
The signals are visible directly on the chart:
- A "BUY" label in green is displayed below the bar for buy signals.
- A "SELL" label in red is displayed above the bar for sell signals.
Summary:
This indicator is intended for traders seeking precise entry and exit points by integrating trend analysis, volume, and candlestick patterns. With liquidity zones, *Optimus Trader* helps minimize false signals, providing clear and accurate alerts.
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This description can be directly added to TradingView to help users quickly understand the features and logic of this indicator.
Moving Average Pullback Signals [UAlgo]The "Moving Average Pullback Signals " indicator is designed to identify potential trend continuation or reversal points based on moving average (MA) pullback patterns. This tool combines multiple types of moving averages, customized trend validation parameters, and candlestick wick patterns to provide reliable buy and sell signals. By leveraging several advanced MA methods (such as TEMA, DEMA, ZLSMA, and McGinley-D), this script can adapt to different market conditions, providing traders with flexibility and more precise trend-based entries and exits. The addition of a gradient color-coded moving average line and wick validation logic enables traders to visualize market sentiment and trend strength dynamically.
🔶 Key Features
Multiple Moving Average (MA) Calculation Methods: This indicator offers various MA calculation types, including SMA, EMA, DEMA, TEMA, ZLSMA, and McGinley-D, allowing traders to select the MA that best fits their strategy.
Trend Validation and Pattern Recognition: The indicator includes a customizable trend validation length, ensuring that the trend is consistent before buy/sell signals are generated. The "Trend Pattern Mode" setting provides flexibility between "No Trend in Progress," "Trend Continuation," and "Both," tailoring signals to the trader’s preferred style.
Wick Validation Logic: To enhance the accuracy of entries, this indicator identifies specific wick patterns for bullish or bearish pullbacks, which signal potential trend continuation or reversal. Wick length and validation factor are adjustable to suit various market conditions and timeframes.
Gradient Color-coded MA Line: This feature provides a quick visual cue for trend strength, with color changes reflecting relative highs and lows of the MA, enhancing market sentiment interpretation.
Alerts for Buy and Sell Signals: Alerts are triggered when either a bullish or bearish pullback is detected, allowing traders to receive instant notifications without continuously monitoring the chart.
Visual Labels for Reversal Points: The indicator plots labels ("R") at potential reversal points, with color-coded labels for bullish (green) and bearish (red) pullbacks, highlighting pullback opportunities that align with the trend or reversal potential.
🔶 Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Systematic Investment Tracker by Ceyhun Gonul### English Description
**Systematic Investment Tracker with Enhanced Features**
This script, titled **Systematic Investment Tracker with Enhanced Features**, is a TradingView tool designed to support systematic investments across different market conditions. It provides traders with two customizable investment strategies — **Continuous Buying** and **Declining Buying** — and includes advanced dynamic investment adjustment features for each.
#### Detailed Explanation of Script Features and Originality
1. **Two Investment Strategies**:
- **Continuous Buying**: This strategy performs purchases consistently at each interval, as set by the user, regardless of market price changes. It follows the principle of dollar-cost averaging, allowing users to build an investment position over time.
- **Declining Buying**: Unlike Continuous Buying, this strategy triggers purchases only when the asset's price has declined from the previous interval's closing price. This approach helps users capitalize on lower price points, potentially improving average costs during downward trends.
2. **Dynamic Investment Adjustment**:
- For both strategies, the script includes a **Dynamic Investment Adjustment** feature. If enabled, this feature increases the purchasing amount by 50% if the current price has fallen by a specific user-defined percentage relative to the previous price. This allows users to accumulate a larger position when the asset is declining, which may benefit long-term cost-averaging strategies.
3. **Customizable Time Frames**:
- Users can specify a **start and end date** for investment, allowing them to restrict or backtest strategies within a specific timeframe. This feature is valuable for evaluating strategy performance over specific market cycles or historical periods.
4. **Graphical Indicators and Labels**:
- The script provides graphical labels on the chart that display purchase points. These indicators help users visualize their investment entries based on the strategy selected.
- A summary **performance label** is also displayed, providing real-time updates on the total amount spent, accumulated quantity, average cost, portfolio value, and profit percentage for each strategy.
5. **Language Support**:
- The script includes English and Turkish language options. Users can toggle between these languages, allowing the summary label text and descriptions to be displayed in their preferred language.
6. **Performance Comparison Table**:
- An optional **Performance Comparison Table** is available, offering a side-by-side analysis of net profit, total investment, and profit percentage for both strategies. This comparison table helps users assess which strategy has yielded better returns, providing clarity on each approach's effectiveness under the chosen parameters.
#### How the Script Works and Its Uniqueness
This closed-source script brings together two established investment strategies in a single, dynamic tool. By integrating continuous and declining purchase strategies with advanced settings for dynamic investment adjustment, the script offers a powerful, flexible tool for both passive and active investors. The design of this script provides unique benefits:
- Enables automated, systematic investment tracking, allowing users to build positions gradually.
- Empowers users to leverage declines through dynamic adjustments to optimize average cost over time.
- Presents an easy-to-read performance label and table, enabling an efficient and transparent performance comparison for informed decision-making.
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### Türkçe Açıklama
**Gelişmiş Özellikli Sistematik Yatırım Takipçisi**
**Gelişmiş Özellikli Sistematik Yatırım Takipçisi** adlı bu TradingView scripti, çeşitli piyasa koşullarında sistematik yatırım stratejilerini desteklemek üzere tasarlanmış bir araçtır. Script, kullanıcıya iki özelleştirilebilir yatırım stratejisi — **Sürekli Alım** ve **Düşen Alım** — ve her strateji için gelişmiş dinamik yatırım ayarlama seçenekleri sunar.
#### Script Özelliklerinin Detaylı Açıklaması ve Özgünlük
1. **İki Yatırım Stratejisi**:
- **Sürekli Alım**: Bu strateji, fiyat değişimlerine bakılmaksızın kullanıcının belirlediği her aralıkta sabit bir miktar yatırım yapar. Bu yaklaşım, uzun vadede pozisyonu kademeli olarak oluşturmak isteyenler için idealdir.
- **Düşen Alım**: Sürekli Alım’ın aksine, bu strateji yalnızca fiyat bir önceki aralığın kapanış fiyatına göre düştüğünde alım yapar. Bu yöntem, yatırımcıların daha düşük fiyatlardan alım yaparak ortalama maliyeti potansiyel olarak iyileştirmelerine yardımcı olur.
2. **Dinamik Yatırım Ayarlaması**:
- Her iki strateji için de **Dinamik Yatırım Ayarlaması** özelliği bulunmaktadır. Bu özellik aktif edildiğinde, mevcut fiyatın bir önceki fiyata göre kullanıcı tarafından belirlenen bir yüzde oranında düşmesi durumunda alım miktarını %50 artırır. Bu durum, uzun vadede maliyet ortalaması stratejilerine katkıda bulunur.
3. **Özelleştirilebilir Tarih Aralığı**:
- Kullanıcılar, yatırımı belirli bir tarih aralığında sınırlandırmak veya test etmek için bir **başlangıç ve bitiş tarihi** belirleyebilir. Bu özellik, strateji performansını geçmiş piyasa döngüleri veya belirli dönemlerde değerlendirmek için kullanışlıdır.
4. **Grafiksel İşaretleyiciler ve Etiketler**:
- Script, grafik üzerinde alım noktalarını gösteren işaretleyiciler sağlar. Bu görsel göstergeler, kullanıcıların seçilen stratejiye göre yatırım girişlerini görselleştirmesine yardımcı olur.
- Ayrıca, her strateji için harcanan toplam tutar, biriken miktar, ortalama maliyet, portföy değeri ve kâr yüzdesi gibi bilgileri gerçek zamanlı olarak gösteren bir **performans etiketi** sunar.
5. **Dil Desteği**:
- Script, İngilizce ve Türkçe dillerini desteklemektedir. Kullanıcılar, performans etiketi metninin ve açıklamalarının tercih ettikleri dilde görüntülenmesi için dil seçimini yapabilir.
6. **Performans Karşılaştırma Tablosu**:
- İsteğe bağlı olarak kullanılabilen bir **Performans Karşılaştırma Tablosu**, her iki strateji için net kâr, toplam yatırım ve kâr yüzdesi gibi bilgileri yan yana analiz eder. Bu tablo, kullanıcıların hangi stratejinin daha yüksek getiri sağladığını değerlendirmesine yardımcı olur.
#### Scriptin Çalışma Prensibi ve Özgünlüğü
Bu script, iki yatırım stratejisini gelişmiş bir araçta birleştirir. Sürekli ve düşen fiyatlara dayalı alım stratejilerini dinamik yatırım ayarlama özelliğiyle entegre ederek yatırımcılar için güçlü ve esnek bir çözüm sunar. Script’in tasarımı aşağıdaki benzersiz faydaları sağlamaktadır:
- Otomatik, sistematik yatırım takibi yaparak kullanıcıların pozisyonlarını kademeli olarak oluşturmalarına olanak tanır.
- Dinamik ayarlama ile düşüşlerden yararlanarak zaman içinde ortalama maliyeti optimize etme olanağı sağlar.
- Her iki stratejinin performansını basit ve anlaşılır bir şekilde karşılaştıran etiket ve tablo ile verimli bir performans değerlendirmesi sunar.
Weighted CG Oscillator with ATRATR-Weighted CG Oscillator
The ATR-Weighted CG Oscillator is an enhanced version of the Center of Gravity (CG) Oscillator, originally developed by John Ehlers . By adding the Average True Range (ATR) to dynamically adjust the oscillator’s values based on market volatility, this indicator aims to make trend signals more responsive to price changes, offering an adaptive tool for trend analysis.
Functionality Overview :
The CG Oscillator, a classic trend-following indicator, has been modified here to incorporate the ATR for improved context and adaptability in different market conditions. The indicator calculates the CG Oscillator and scales it by dividing the ATR by the closing price to normalize for volatility. This creates a “weighted” CG Oscillator that generates more contextually relevant signals. A colored line shows green for long signals (above the long threshold), red for short signals (below the short threshold), and gray for neutral conditions.
Input Parameters :
CGO Length : Sets the period of the CG Oscillator calculation.
ATR Length : Determines the period of the ATR calculation. Longer periods smooth out the volatility impact.
Long Threshold : The threshold that triggers a long signal; a long (green) signal occurs when the weighted CG Oscillator crosses above this level.
Short Threshold : The threshold that triggers a short signal; a short (red) signal occurs when the weighted CG Oscillator crosses below this level.
Source : Specifies the data source for CG Oscillator calculations, with the default set to the closing price.
Recommended Use :
This indicator is designed to be an adaptive tool, not your sole resource. To ensure its effectiveness, it’s essential to backtest the indicator on your chosen asset over your preferred timeframe. Market dynamics vary, so testing the indicator’s parameters—especially the thresholds—will allow you to find the settings that best suit your strategy. While the default values work well for some scenarios, customizing the settings will help align the indicator with your unique trading style and the asset’s characteristics.
Momentum TrackerTo screen for momentum movers, one can filter for stocks that have made a noticeable move over a set period—this initial move defines the momentum or swing move. From this list of candidates, we can create a watchlist by selecting those showing a momentum pause, such as a pullback or consolidation, which later could set up for a continuation.
This Momentum Tracker Indicator serves as a study tool to visualize when stocks historically met these momentum conditions. It marks on the chart where a stock would have appeared on the screener, allowing us to review past momentum patterns and screener requirements.
Indicator Calculation
Bullish Momentum: Price is above the lowest point within the lookback period by the specified threshold percentage.
Bearish Momentum: Price is below the highest point within the lookback period by the specified threshold percentage.
The tool is customizable in terms of lookback period and percentage threshold to accommodate different trading styles and timeframes, allowing us to set criteria that align with specific hold times and momentum requirements.
Enhanced Keltner TrendThe Enhanced Keltner Trend (EKT) indicator builds on the classic Keltner Channel, using volatility to define potential trend channels around a central moving average. It combines customizable volatility measures moving average, giving traders flexibility to adapt the trend channel to various market conditions.
How It Works?
MA Calculation:
A user-defined moving average forms the central line (or price basis) of the Keltner Channel.
Channel Width:
The width of the Keltner Channel depends on market volatility.
You can choose between two methods for measuring the volatility:
ATR-based Width: Uses the Average True Range (ATR) with customizable periods and multipliers.
Price Range Width: Uses the high and low price range over a defined period.
Trend Signal:
The trend is evaluated by price in relation to the Keltner Channel:
Bullish Trend (Blue Line): When the price crosses above the upper band, it signals upward momentum.
Bearish Trend (Orange Line): When the price crosses below the lower band, it signals downward momentum.
What Is Unique?
This Enhanced version of the Keltner Trend is for investors who want to have more control over the Keltner's channels calculation, so they can calibrate it to provide them more alpha when combined with other Technical Indicators.
Use ATR: Gives the user the choice to use the ATR for the channel width calculation, or use the default High - Low over specified period.
ATR Period: Users can modify ATR length to calculate the channels width (Volatility).
ATR Multiplier: Users can fine-tune how much of the volatility they want to factor into the channels, providing more control over the final calculation.
MA Period: Smoothing period for the Moving Averages.
MA Type: Choosing from different Moving Averages types providing different smoothing types.
Setting Alerts:
Built-in alerts for trend detection:
Bullish Trend: When price crosses the upper band, it signals a Bullish Signal (Blue Color)
Bearish Trend: When price crosses the lower band, it signals a Bearish Signal (Orange Color)
Credits to @jaggedsoft , it's a modified version of his.
Economic Seasons [Daveatt]Ever wondered what season your economy is in?
Just like Mother Nature has her four seasons, the economy cycles through its own seasons! This indicator helps you visualize where we are in the economic cycle by tracking two key metrics:
📊 What We're Tracking:
1. Interest Rates (USIRYY) - The yearly change in interest rates
2. Inflation Rate (USINTR) - The rate at which prices are rising
The magic happens when we normalize these values (fancy math that makes the numbers play nice together) and compare them to their recent averages. We use a lookback period to calculate the standard deviation and determine if we're seeing higher or lower than normal readings.
🔄 The Four Economic Seasons & Investment Strategy:
1. 🌸 Goldilocks (↑Growth, ↓Inflation)
"Not too hot, not too cold" - The economy is growing steadily without overheating.
BEST TIME TO: Buy growth stocks, technology, consumer discretionary
WHY: Companies can grow earnings in this ideal environment of low rates and stable prices
2. 🌞 Reflation (↑Growth, ↑Inflation)
"Party time... but watch your wallet!" - The economy is heating up.
BEST TIME TO: Buy commodities, banking stocks, real estate
WHY: These sectors thrive when inflation rises alongside growth
3. 🌡️ Inflation (↓Growth, ↑Inflation)
"Ouch, my purchasing power!" - Growth slows while prices keep rising.
BEST TIME TO: Rotate into value stocks, consumer staples, healthcare
WHY: These defensive sectors maintain pricing power during inflationary periods
4. ❄️ Deflation (↓Growth, ↓Inflation)
"Winter is here" - Both growth and inflation are falling.
BEST TIME TO: Focus on quality bonds, cash positions, and dividend aristocrats
WHY: Capital preservation becomes key; high-quality fixed income provides safety
🎯 Strategic Trading Points:
- BUY AGGRESSIVELY: During late Deflation/early Goldilocks (the spring thaw)
- HOLD & ACCUMULATE: Throughout Goldilocks and early Reflation
- START TAKING PROFITS: During late Reflation/early Inflation
- DEFENSIVE POSITIONING: Throughout Inflation and Deflation
⚠️ Warning Signs to Watch:
- Goldilocks → Reflation: Time to reduce growth stock exposure
- Reflation → Inflation: Begin rotating into defensive sectors
- Inflation → Deflation: Quality becomes crucial
- Deflation → Goldilocks: Start building new positions
The blue dot shows you where we are right now in this cycle.
The red arrows in the middle remind us that this is a continuous cycle - one season flows into the next, just like in nature!
💡 Pro Tip: The transitions between seasons often provide the best opportunities - but also the highest risks. Use additional indicators and fundamental analysis to confirm these shifts.
Remember: Just like you wouldn't wear a winter coat in summer, you shouldn't use a Goldilocks strategy during Inflation! Time your trades with the seasons. 🎯
Happy Trading! 📈
DOGE MVRV Z-ScoreThe MVRV-Z score is a relative indicator, which is the "circulating market value" of Dogecoin minus the "realized market value", and then standardized by the standard of the circulating market value. The formula is:
MVRV-Z Score = (circulation market capitalization - realized market capitalization) / Standard Deviation (circulation market capitalization)
The "realized market value" is based on the value of transactions on-chain, calculating the sum of the "last movement value" of all Dogecoins on the chain. Therefore, when this indicator is too high, it means that the market value of Dogecoin is overvalued relative to its actual value, which is detrimental to the price of Dogecoin; otherwise, it means that the market value of Dogecoin is undervalued. According to past historical experience, when this indicator is at a historical high, the probability of a downward trend in Dogecoin prices increases, and attention should be paid to the risks of chasing higher prices.
Adaptive Kalman filter - Trend Strength Oscillator (Zeiierman)█ Overview
The Adaptive Kalman Filter - Trend Strength Oscillator by Zeiierman is a sophisticated trend-following indicator that uses advanced mathematical techniques, including vector and matrix operations, to decompose price movements into trend and oscillatory components. Unlike standard indicators, this model assumes that price is driven by two latent (unobservable) factors: a long-term trend and localized oscillations around that trend. Through a dynamic "predict and update" process, the Kalman Filter leverages vectors to adaptively separate these components, extracting a clearer view of market direction and strength.
█ How It Works
This indicator operates on a trend + local change Kalman Filter model. It assumes that price movements consist of two underlying components: a core trend and an oscillatory term, representing smaller price fluctuations around that trend. The Kalman Filter adaptively separates these components by observing the price series over time and performing real-time updates as new data arrives.
Predict and Update Procedure: The Kalman Filter uses an adaptive predict-update cycle to estimate both components. This cycle allows the filter to adjust dynamically as the market evolves, providing a smooth yet responsive signal. The trend component extracted from this process is plotted directly, giving a clear view of the prevailing direction. The oscillatory component indicates the tendency or strength of the trend, reflected in the green/red coloration of the oscillator line.
Trend Strength Calculation: Trend strength is calculated by comparing the current oscillatory value against a configurable number of past values.
█ Three Kalman filter Models
This indicator offers three distinct Kalman filter models, each designed to handle different market conditions:
Standard Model: This is a conventional Kalman Filter, balancing responsiveness and smoothness. It works well across general market conditions.
Volume-Adjusted Model: In this model, the filter’s measurement noise automatically adjusts based on trading volume. Higher volumes indicate more informative price movements, which the filter treats with higher confidence. Conversely, low-volume movements are treated as less informative, adding robustness during low-activity periods.
Parkinson-Adjusted Model: This model adjusts measurement noise based on price volatility. It uses the price range (high-low) to determine the filter’s sensitivity, making it ideal for handling markets with frequent gaps or spikes. The model responds with higher confidence in low-volatility periods and adapts to high-volatility scenarios by treating them with more caution.
█ How to Use
Trend Detection: The oscillator oscillates around zero, with positive values indicating a bullish trend and negative values indicating a bearish trend. The further the oscillator moves from zero, the stronger the trend. The Kalman filter trend line on the chart can be used in conjunction with the oscillator to determine the market's trend direction.
Trend Reversals: The blue areas in the oscillator suggest potential trend reversals, helping traders identify emerging market shifts. These areas can also indicate a potential pullback within the prevailing trend.
Overbought/Oversold: The thresholds, such as 70 and -70, help identify extreme conditions. When the oscillator reaches these levels, it suggests that the trend may be overextended, possibly signaling an upcoming reversal.
█ Settings
Process Noise 1: Controls the primary level of uncertainty in the Kalman filter model. Higher values make the filter more responsive to recent price changes, but may also increase susceptibility to random noise.
Process Noise 2: This secondary noise setting works with Process Noise 1 to adjust the model's adaptability. Together, these settings manage the uncertainty in the filter's internal model, allowing for finely-tuned adjustments to smoothness versus responsiveness.
Measurement Noise: Sets the uncertainty in the observed price data. Increasing this value makes the filter rely more on historical data, resulting in smoother but less reactive filtering. Lower values make the filter more responsive but potentially more prone to noise.
O sc Smoothness: Controls the level of smoothing applied to the trend strength oscillator. Higher values result in a smoother oscillator, which may cause slight delays in response. Lower values make the oscillator more reactive to trend changes, useful for capturing quick reversals or volatility within the trend.
Kalman Filter Model: Choose between Standard, Volume-Adjusted, and Parkinson-Adjusted models. Each model adapts the Kalman filter for specific conditions, whether balancing general market data, adjusting based on volume, or refining based on volatility.
Trend Lookback: Defines how far back to look when calculating the trend strength, which impacts the indicator's sensitivity to changes in trend strength. Shorter values make the oscillator more reactive to recent trends, while longer values provide a smoother reading.
Strength Smoothness: Adjusts the level of smoothing applied to the trend strength oscillator. Higher values create a more gradual response, while lower values make the oscillator more sensitive to recent changes.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
