Dynamic Touch Trendlines [QuantVue]The Dynamic Touch Trendlines (DTT) indicator automatically draws and manages trendlines on your chart, helping traders identify key support and resistance levels.
What sets the DTT indicator apart from other trendline indicators is its ability to let traders customize the number of touches required to validate a trendline. This flexibility allows you to fine-tune the indicator for different markets or trading styles, ensuring only strong trendlines with the specified number of touches are considered valid.
This indicator features both uptrend lines (drawn from pivot lows) and downtrend lines (drawn from pivot highs), making it suitable for detecting bullish and bearish trends.
An uptrend line connects three (default setting) or more significant lows, showing where price has historically found support. Traders often look for price to bounce off this line during pullbacks in an uptrend.
When price breaks below an uptrend line, it suggests a weakening of the bullish trend. This could mean that buyers are losing strength, and the market may be transitioning into a bearish phase, providing a potential opportunity for traders to enter short positions or exit long positions.
Conversely, a downtrend line connects three (default setting) or more significant highs, indicating potential resistance in a downtrend. Price action below this line can signal continued bearish momentum.
When price breaks above a downtrend line, it indicates a potential reversal of the bearish trend. This can signal the end of selling pressure and the beginning of a new bullish phase, offering traders a potential opportunity to enter long positions.
Key settings:
Minimum Touches: This sets the number of price touches required to validate a trendline. Increasing the minimum touches filters out weaker trends, ensuring that only more reliable trendlines are drawn.
Buffer: The buffer is used to account for minor price overshoots or near misses relative to the trendline. It creates a margin around the trendline, allowing price to come close to the line—whether it overshoots slightly or falls just short—and still count as a valid touch. This helps ensure that small price fluctuations or market noise don’t prevent valid trendline touches from being recognized, making the trendlines more reliable.
Trendline Break Source: Allows traders to define how a trendline is considered broken—either based on the close of the price bar or the wicks (highs and lows) of the price action.
The DTT indicator also features alerts whenever a new trendline is detected or an existing trendline is broken!
Трендовый анализ
Dynamic ConfluenceThe Dynamic MA Confluence Indicator is a powerful tool designed to simplify your trading experience by automatically identifying the most influential moving average (MA) lengths on your chart. Whether you're using Simple Moving Averages (SMA) or Exponential Moving Averages (EMA), this indicator helps you pinpoint the MA length that holds the greatest confluence, allowing you to make informed trading decisions with ease.
How It Works:
This indicator analyzes a wide range of moving averages, from short-term to long-term, to determine which ones are closest to each other. By setting a "Proximity Percentage," you can control how close these MAs need to be to be considered as having confluence. The indicator then calculates the average of these close MAs to establish a dynamic support or resistance level on your chart.
Why Use This Indicator?
Automatic Optimization: Unsure of which MA length to apply? The indicator automatically highlights the MA length with the most confluence, giving you a clear edge in identifying significant market levels.
Adaptability: Choose between SMA and EMA to suit your trading strategy and market conditions.
Enhanced Decision-Making: By focusing on the MA length with the greatest influence, you can better anticipate market movements and adjust your strategies accordingly.
Customizable Sensitivity: Adjust the Proximity Percentage to fine-tune the indicator's sensitivity, ensuring it aligns with your trading preferences.
Key Feature:
Current Key Confluence MA Length: Displayed in an optional table, this feature shows the MA length that currently has the most impact on the confluence level, providing you with actionable insights at a glance.
Whether you're a seasoned trader or just starting, the Dynamic MA Confluence Indicator offers a streamlined approach to understanding market dynamics, helping you trade smarter and with more confidence. This presentation text is designed to clearly communicate the purpose, functionality, and benefits of the indicator, making it easy for users to understand its value and how it can enhance their trading strategies.
The Dynamic MA Confluence Indicator is a tool designed to assist traders in analyzing market trends. It should not be considered as financial advice or a guarantee of future performance. Trading involves significant risk, and it is possible to lose more than your initial investment. Users should conduct their own research and consider their financial situation before making trading decisions. Always consult with a financial advisor if you are unsure about any trading strategies or decisions. This disclaimer is intended to remind users of the inherent risks in trading and the importance of conducting their own due diligence.
buysellsignal-yashgode9The "buysellsignal-yashgode9" indicator utilizes a signal library to generate buy and sell signals based on price action, allowing traders to make informed decisions in their trading strategies.
Overview of the Indicator
The "buysellsignal-yashgode9" indicator is a technical analysis tool that identifies potential buying and selling points in the market. It does this by leveraging a signal library imported from `yashgode9/signalLib/2`, which contains predefined algorithms for analyzing market trends based on specified parameters.
Key Features
1.Input Parameters: The indicator allows users to customize several parameters:
- Depth: Determines the number of bars to look back for price analysis (default is 150).
- Deviation: Sets the threshold for price movement (default is 120).
- Backstep: Defines how many bars to step back when evaluating signals (default is 100).
- Label Transparency: Adjusts the transparency of labels displayed on the chart.
- Color Customization: Users can specify colors for buy and sell signals.
2.Signal Generation: The core functionality is driven by the `signalLib.signalLib` function, which analyzes the low and high prices over the specified depth and deviation. It returns a direction indicator along with price points (`zee1` and `zee2`) that are used to determine whether to issue a buy or sell signal.
3. Labeling and Visualization:
- The indicator creates labels on the chart to indicate buy and sell points based on the direction of the signal.
- Labels are color-coded according to user-defined settings, enhancing visual clarity.
- The indicator also manages the deletion of previous labels and lines to avoid clutter on the chart.
4. Repainting Logic: The script includes a repainting option, allowing it to update signals in real-time as new price data comes in. This can be beneficial for traders who want to see the most current signals but may also lead to misleading signals if not used cautiously.
Conclusion:-
The "buysellsignal-yashgode9" indicator is a versatile tool for traders looking to enhance their decision-making process by identifying key market entry and exit points. By allowing customization of parameters and colors, it caters to individual trading preferences while providing clear visual signals based on price action analysis. This indicator is particularly useful for those who rely on technical analysis in their trading strategies, as it combines automated signal generation with user-friendly visual cues.
Benefits and Applications:
1.Intraday Trading: The "buysellsignal-yashgode9" indicator is particularly well-suited for intraday trading, as it provides accurate and timely buy and sell signals based on the current market dynamics.
2.Trend-following Strategies: Traders who employ trend-following strategies can leverage the indicator's ability to identify the overall market direction, allowing them to align their trades with the dominant trend.
3.Swing Trading: The dynamic price tracking and signal generation capabilities of the indicator can be beneficial for swing traders, who aim to capture medium-term price movements.
Security Measures:
1. The code includes a security notice at the beginning, indicating that it is subject to the Mozilla Public License 2.0, which is a reputable open-source license.
2. The code does not appear to contain any obvious security vulnerabilities or malicious content that could compromise user data or accounts.
NOTE:- This indicator is provided under the Mozilla Public License 2.0 and is subject to its terms and conditions.
Disclaimer: The usage of "buysellsignal-yashgode9" indicator might or might not contribute to your trading capital(money) profits and losses and the author is not responsible for the same.
IMPORTANT NOTICE:
While the indicator aims to provide reliable buy and sell signals, it is crucial to understand that the market can be influenced by unpredictable events, such as natural disasters, political unrest, changes in monetary policies, or economic crises. These unforeseen situations may occasionally lead to false signals generated by the "buysellsignal-yashgode9" indicator.
Users should exercise caution and diligence when relying on the indicator's signals, as the market's behavior can be unpredictable, and external factors may impact the accuracy of the signals. It is recommended to thoroughly backtest the indicator's performance in various market conditions and to use it as one of the many tools in a comprehensive trading strategy, rather than solely relying on its output.
Ultimately, the success of the "buysellsignal-yashgode9" indicator will depend on the user's ability to adapt it to their specific trading style, market conditions, and risk management approach. Continuous monitoring, analysis, and adjustment of the indicator's settings may be necessary to maintain its effectiveness in the ever-evolving financial markets.
Author:- yashgode9
PineScript-version:- 5
This indicator aims to enhance trading decision-making by combining DEPTH, DEVIATION, BACKSTEP with custom signal generation, offering a comprehensive tool for traders seeking clear buy and sell signals on the TradingView platform.
Optimized Heikin Ashi Strategy with Buy/Sell OptionsStrategy Name:
Optimized Heikin Ashi Strategy with Buy/Sell Options
Description:
The Optimized Heikin Ashi Strategy is a trend-following strategy designed to capitalize on market trends by utilizing the smoothness of Heikin Ashi candles. This strategy provides flexible options for trading, allowing users to choose between Buy Only (long-only), Sell Only (short-only), or using both in alternating conditions based on the Heikin Ashi candle signals. The strategy works on any market, but it performs especially well in markets where trends are prevalent, such as cryptocurrency or Forex.
This script offers customizable parameters for the backtest period, Heikin Ashi timeframe, stop loss, and take profit levels, allowing traders to optimize the strategy for their preferred markets or assets.
Key Features:
Trade Type Options:
Buy Only: Enter a long position when a green Heikin Ashi candle appears and exit when a red candle appears.
Sell Only: Enter a short position when a red Heikin Ashi candle appears and exit when a green candle appears.
Stop Loss and Take Profit:
Customizable stop loss and take profit percentages allow for flexible risk management.
The default stop loss is set to 2%, and the default take profit is set to 4%, maintaining a favorable risk/reward ratio.
Heikin Ashi Timeframe:
Traders can select the desired timeframe for Heikin Ashi candle calculation (e.g., 4-hour Heikin Ashi candles for a 1-hour chart).
The strategy smooths out price action and reduces noise, providing clearer signals for entry and exit.
Inputs:
Backtest Start Date / End Date: Specify the period for testing the strategy’s performance.
Heikin Ashi Timeframe: Select the timeframe for Heikin Ashi candle generation. A higher timeframe helps smooth the trend, which is beneficial for trading lower timeframes.
Stop Loss (in %) and Take Profit (in %): Enable or disable stop loss and take profit, and adjust the levels based on market conditions.
Trade Type: Choose between Buy Only or Sell Only based on your market outlook and strategy preference.
Strategy Performance:
In testing with BTC/USD, this strategy performed well in a 4-hour Heikin Ashi timeframe applied on a 1-hour chart over a period from January 1, 2024, to September 12, 2024. The results were as follows:
Initial Capital: 1 USD
Order Size: 100% of equity
Net Profit: +30.74 USD (3,073.52% return)
Percent Profitable: 78.28% of trades were winners.
Profit Factor: 15.825, indicating that the strategy's profitable trades far outweighed its losses.
Max Drawdown: 4.21%, showing low risk exposure relative to the large profit potential.
This strategy is ideal for both beginner and advanced traders who are looking to follow trends and avoid market noise by using Heikin Ashi candles. It is also well-suited for traders who prefer automated risk management through the use of stop loss and take profit levels.
Recommended Use:
Best Markets: This strategy works well on trending markets like cryptocurrency, Forex, or indices.
Timeframes: Works best when applied to lower timeframes (e.g., 1-hour chart) with a higher Heikin Ashi timeframe (e.g., 4-hour candles) to smooth out price action.
Leverage: The strategy performs well with leverage, but users should consider using 2x to 3x leverage to avoid excessive risk and potential liquidation. The strategy's low drawdown allows for moderate leverage use while maintaining risk control.
Customization: Traders can adjust the stop loss and take profit percentages based on their risk appetite and market conditions. A default setting of a 2% stop loss and 4% take profit provides a balanced risk/reward ratio.
Notes:
Risk Management: Traders should enable stop loss and take profit settings to maintain effective risk management and prevent large drawdowns during volatile market conditions.
Optimization: This strategy can be further optimized by adjusting the Heikin Ashi timeframe and risk parameters based on specific market conditions and assets.
Backtesting: The built-in backtesting functionality allows traders to test the strategy across different market conditions and historical data to ensure robustness before applying it to live trading.
How to Apply:
Select your preferred market and chart.
Choose the appropriate Heikin Ashi timeframe based on the chart's timeframe. (e.g., use 4-hour Heikin Ashi candles for 1-hour chart trends).
Adjust stop loss and take profit based on your risk management preference.
Run backtesting to evaluate its performance before applying it in live trading.
This strategy can be further modified and optimized based on personal trading style and market conditions. It’s important to monitor performance regularly and adjust settings as needed to align with market behavior.
Correlation with AveragesThe "Correlation with Averages" indicator is designed to visualize and analyze the correlation between a selected asset's price and a base symbol's price, such as the S&P 500 (SPY). This indicator allows users to evaluate how closely an asset’s price movements align with those of the base symbol over various time periods, providing insights into market trends and potential portfolio adjustments.
Key Features:
Base Symbol and Correlation Period:
Users can specify the base symbol (default is SPY) and the period for correlation measurement (default is 252 trading days, approximating one year).
Correlation Calculation:
The indicator computes the correlation between the asset’s closing price and the base symbol’s closing price for the defined period.
Visualization:
The correlation value is plotted on the chart, with conditional background colors indicating the strength and direction of the correlation:
Red for negative correlation (below -0.5)
Green for positive correlation (above 0.5)
Yellow for neutral correlation (between -0.5 and 0.5)
Average Correlation Over Time:
Average correlations are calculated and displayed for various periods: one week, one month, one year, and five years.
A table on the chart provides dynamic updates of these average values with color-coded backgrounds to indicate correlation strength.
The Role of Correlation in Portfolio Management
Correlation is a crucial concept in portfolio management because it measures the degree to which two securities move in relation to each other. Understanding correlation helps investors construct diversified portfolios that balance risk and return. Here's why correlation is important:
Diversification:
By including assets with low or negative correlation in a portfolio, investors can reduce overall portfolio volatility and risk. For instance, if one asset is negatively correlated with another, when one performs poorly, the other may perform well, thus smoothing the overall returns.
Risk Management:
Correlation analysis helps in identifying the potential impact of one asset’s performance on the entire portfolio. Assets with high correlation can lead to concentrated risk, while those with low correlation offer better risk management.
Performance Analysis:
Correlation measures the degree to which asset returns move together. This can inform strategic decisions, such as whether to adjust positions based on expected market conditions.
Scientific References
Markowitz, H. M. (1952). "Portfolio Selection." Journal of Finance, 7(1), 77-91.
This foundational paper introduced Modern Portfolio Theory, highlighting the importance of diversification and correlation in reducing portfolio risk.
Jorion, P. (2007). Financial Risk Manager Handbook. Wiley.
This handbook provides an in-depth exploration of risk management techniques, including the use of correlation in portfolio management.
Elton, E. J., Gruber, M. J., Brown, S. J., & Goetzmann, W. N. (2014). Modern Portfolio Theory and Investment Analysis. Wiley.
This book elaborates on the concepts of correlation and diversification, offering practical insights into portfolio construction and risk management.
By utilizing the "Correlation with Averages" indicator, traders and portfolio managers can make informed decisions based on the relationship between asset prices and the base symbol, ultimately enhancing their investment strategies.
First 5-Minute ORB Levels with Hour Offset### Indicator Overview: First 5-Minute ORB Levels with Hour Offset
This indicator is designed for traders who want to track the high and low of the first 5-minute candle of a trading session, specifically starting at 9:30 am EST (New York time) by default. The lines representing these levels, known as the "Opening Range Breakout" (ORB) levels, are extended across the trading session until the market close at 4:00 pm EST. The indicator provides the following features:
1. **Real-Time Updates**:
- As the first 5-minute candle of the session forms (from 9:30 am to 9:35 am EST), the indicator dynamically updates the high and low lines.
- After the candle completes, the lines are locked in place and extend horizontally across the chart until market close.
2. **Customizable Hour Offset**:
- Users can adjust the start time of the session by specifying an hour offset. This feature is particularly useful for traders operating in different time zones or those who want to analyze custom session times.
- For example, if you trade in a time zone where the session starts at 8:30 am local time instead of 9:30 am EST, you can set the hour offset to `-1` to adjust the start time accordingly.
3. **Visual Labels**:
- The indicator places labels at the end of the lines, clearly marking the "5m ORB High" and "5m ORB Low" levels. These labels are updated in real-time as the first 5-minute candle forms and are fixed in place once the candle closes.
### How to Adjust the Settings:
1. **Hour Offset**:
- **Description**: The hour offset allows you to shift the start time of the session. The default start time is 9:30 am EST, but you can change this using the hour offset.
- **How to Adjust**:
- Open the indicator settings.
- Locate the "Hour Offset" field.
- Enter a positive or negative integer value to shift the session start time.
- **Example**:
- `0` (default): Start at 9:30 am EST.
- `-1`: Start at 8:30 am EST.
- `+1`: Start at 10:30 am EST.
- The indicator will then track the first 5-minute candle starting at the adjusted time and plot the high and low accordingly.
2. **Line and Label Appearance**:
- The lines representing the ORB levels are green by default, and the labels are also green with white text for clear visibility on the chart. The labels are positioned to the right of the lines to avoid cluttering the chart.
### Use Cases:
- **Opening Range Breakout Strategy**: Traders often use the ORB strategy to identify potential breakout points during the trading day. By marking the high and low of the first 5-minute candle, this indicator helps traders quickly identify key levels where price might break out or reverse.
- **Custom Session Analysis**: If you trade in a different time zone or need to analyze a different session (e.g., pre-market or after-hours), the hour offset feature allows you to adapt the indicator to your needs.
This indicator is particularly valuable for intraday traders who rely on the initial volatility of the trading session to make informed decisions.
Advanced Stochastic ForLoopAdvanced Stochastic ForLoop
OVERVIEW
Advanced Stochastic ForLoop is an improved version of Stochastic it is designed to calculate an array of values 1 or -1 depending if soruce for calculations is above or below basis.
It takes avereage of values over a range of lengths, providing trend signals smothed based on various moving averages in order to get rid of noise.
It offers flexibility with different signal modes and visual customizations.
TYPE OF SIGNALS
-FAST (MA > MA or MA > 0.99)
-SLOW (MA > 0)
-THRESHOLD CROSSING (set by user treshold for both directions)
-FAST THRESHOLD (when theres an change in signal by set margin e.g 0.4 -> 0.2 means bearsih when FT is set to 0.1, when MA is > 0.99 it will signal bullish, when MA < -0.99 it will signal bearish)
Generaly Lime color of line indicates Bullish, Fuchsia indicates Bearish.
This colors are not set in stone so you can change them in settings.
Alerts included when line color is:
-Bullish Trend, line color is lime
-Bearish Trend, line color is fuchsia
Credit
Idea for this script was from one of indicators created by www.tradingview.com
Warning
This indicator can be really noisy depending on the settings, signal mode so it should be used preferably as a part of an strategy not as a stand alone indicator
Remember the lower the timeframe you use the more noise there is.
No single indicator should be used alone when making investment decisions.
Bollinger Bands ForLoopBollinger Bands ForLoop
OVERVIEW
BB ForLoop is an improved version of Bollinger Bands it is designed to calculate an array of values 1 or -1 depending if soruce for calculations is above or below basis.
It takes avereage of values over a range of lengths, providing trend signals smothed based on various moving averages in order to get rid of noise.
It offers flexibility with different signal modes and visual customizations.
TYPE OF SIGNALS
-FAST (MA > MA or MA > 0.99)
-SLOW (MA > 0)
-THRESHOLD CROSSING (when cross above/below treshold set independently for both directions)
-FAST THRESHOLD (when there's change in signal by set margin e.g (0.4 -> 0.2) means bearsih when FT is set to 0.1, when MA is > 0.99 it will signal bullish, when MA < -0.99 it will signal bearish)
Generaly Lime color of line indicates Bullish, Fuchsia indicates Bearish.
This colors are not set in stone so you can change them in settings.
-Bullish Trend, line color is lime
-Bearish Trend, line color is fuchsia
Credit
Idea for this script was from one of indicators created by www.tradingview.com
Warning
Be careful when using this indicator especialy combining DEMA with FT (Fast Treshold).
This indicator can be really noisy depending on the settings, signal mode so it should be used preferably as a part of an strategy not as a stand alone indicator
Remember the lower the timeframe you use the more noise there is.
No single indicator should be used alone when making investment decisions.
Multi-Asset Cross Timeframe Divergence Ind. (MACDI) // AlgoFyreThe Multi-Asset Cross Timeframe Divergence Indicator (MACDI) identifies divergences in momentum like RSI across multiple assets and timeframes. It visually highlights lagging correlated asset momentum divergences, helping traders spot inefficiencies and potential trade opportunities in the following asset.
🔶 KEY FEATURES
🔸Average Momentum Trendline for Each Timeframe
The Average Momentum Trendline feature calculates the average momentum of multiple assets over specified timeframes. It uses smoothed values to determine the momentum trend for each timeframe on the average aggregated momentum of both assets. This trendline helps traders identify the overall direction of the market momentum, providing a clearer picture of potential price movements.
🔸Real-time Divergence Indication and Alert Table
The Real-time Divergence Indications and Alert Table feature visualizes detected divergences between the momentum values of the two assets across different timeframes. It identifies both bullish and bearish divergences, signaling lagging reversals in the the following asset and potential trading opportunities. When a divergence is detected, the system generates real-time visual indications on the chart and in an overview table for traders to act promptly. The alert table provides a comprehensive overview of all detected divergences, making it easier for traders to monitor and respond to market changes.
🔸Color and Size Based Labels on Price Chart based on Divergence Type
The Color and Size Based Labels feature visually represents divergences directly on the price chart. Bullish and bearish divergences are marked with distinct colors and sizes, making them easily identifiable at a glance. Larger labels indicate higher timeframes and thus generally more significance.
🔶 INSTRUCTION GUIDELINES
🔸Identify Divergence Clusters
The more divergences align, the higher the probability of a potential trend reversal in the asset. When multiple multi-timeframe divergences occur in both lower and higher timeframes within a local cluster, the probability of a reversal increases. This is valid for both for bullish and bearish divergences.
🔸Spot Low Probability Divergences
To further increase the probability, analyze the current state of the average momentum trendline. For a bullish reversal, a relatively low level of the average momentum trendline is preferred, whereas for a bearish reversal, a relatively high level is preferred.
🔶 INDIVIDUAL CONFIGURATION
🔸Leading Asset
This input allows the user to select the leading asset for the divergence analysis.
🔸Following Asset
This input allows the user to select the following asset for the divergence analysis.
🔸Higher Timeframe
This input sets the higher timeframe for the analysis.
🔸Lower Timeframe
This input sets the lower timeframe for the analysis.
🔸Show RSI Divergence
This input enables or disables the display of RSI divergence signals.
🔸RSI Length
This input sets the length of the RSI calculation.
🔸RSI Source
This input sets the source data for the RSI calculation (e.g., close price).
🔸RSI Smoothing Length
This input sets the length of the smoothing applied to the RSI values.
🔸Smoothing Method
This input sets the method used for smoothing the RSI values.
🔶 CONCLUSION
The Multi-Asset Cross Timeframe Divergence Indicator (MACDI) is a powerful tool for identifying momentum divergences across multiple assets and timeframes. Its visual cues and customizable table make it easy to use and interpret, providing valuable insights for trading decisions.
EMA-BAND-PIVOT-VCPThis indicator is named "EMA-BAND-PIVOT-VCP" and integrates multiple elements such as moving averages, volume, volatility contraction patterns (VCP), pivot points, and a table to display key market metrics.
Key Features:
Moving Averages: ( 4 - EMA) default settings 20 , 50 ,144 , 200 . Can be changed in settings.
Pivot Highs and Lows:
The script detects pivot highs and pivot lows using customizable left and right lengths and plots labels to mark these points on the chart.
TIG BAND : This is setting of 2 sma - with the high and low of 90 day average which forms like a band . Its a very strong indicator of trend . Buying is suggestable above this .This has to be tested on your own to knowhow it works wonders ( price magnet). Works on all timeframes . (credit : Bhushan Sir from TIG ) .These are the best buy areas.
Volatility Contraction :
It identifies specific price contraction pattern .
vc marked - used 4 candles - first candle is the mother bar ., 2,3 and 4th candles complete range ( high to low ) is within the range of mother candle.
lc marked -here the closing is considered not the wicks. used 8 candles., the 7 candles closing is within the range of motherbar. Crosses are plotted on the last candle
Table Display:
A table is displayed on the chart with data such as EMA values, relative volume (RVol), Average Daily Range (ADR), and volume ratios. This gives a comprehensive overview of current market conditions.(RVol) compared to the 50-period volume SMA, percentage volume change, and other metrics is also displayed.
Stochastic RSI Strategy with Inverted Trend LogicOverview:
The Stochastic RSI Strategy with Inverted Trend Logic is a custom-built Pine Script indicator that leverages the Stochastic RSI and a 200-period moving average to generate precise buy and sell signals. It is specifically designed for traders looking to capture opportunities during short-term market movements while factoring in broader trend conditions.
Key Components:
Stochastic RSI:
Stochastic RSI is a momentum indicator that applies stochastic calculations to the standard Relative Strength Index (RSI), rather than price data. This makes it particularly sensitive to market momentum changes, which is essential for timing entries and exits.
K Line and D Line: The indicator calculates and smooths both the K and D lines to capture momentum shifts more accurately.
200-Period Moving Average:
The 200-period Simple Moving Average (SMA) is used as a trend filter.
If the price is above the 200-period SMA, the trend is considered bullish.
If the price is below the 200-period SMA, the trend is considered bearish.
Inverted Trading Logic:
The trading logic is inverted from traditional strategies:
Long trades are executed only when the market is in a bearish trend (price below the 200-period moving average).
Short trades are executed only when the market is in a bullish trend (price above the 200-period moving average).
This inversion allows traders to take advantage of potential trend reversals by entering positions in the opposite direction of the prevailing trend.
Trading Rules:
Long Trade Conditions (Buy Signal):
The Stochastic RSI K line must be below 5 for 4 consecutive candles (oversold condition).
The price must be below the 200-period SMA (indicating a bearish trend).
Once these conditions are met, the indicator will generate a buy signal on the close of the 4th candle.
Exit Condition: The long position is exited when the Stochastic RSI K line crosses above 50 (neutral level).
Short Trade Conditions (Sell Signal):
The Stochastic RSI K line must be above 95 for 4 consecutive candles (overbought condition).
The price must be above the 200-period SMA (indicating a bullish trend).
Once these conditions are met, the indicator will generate a sell signal on the close of the 4th candle.
Exit Condition: The short position is exited when the Stochastic RSI K line crosses below 50.
Visual Signals on the Chart:
Buy Signal:
A green triangle below the bar is displayed on the chart when a buy condition is met, indicating a potential long trade opportunity.
The text "BUY" is displayed for further clarity.
Sell Signal:
A red triangle above the bar is displayed on the chart when a sell condition is met, indicating a potential short trade opportunity.
The text "SELL" is displayed for further clarity.
How to Use the Indicator:
Attach the Indicator: Apply the indicator to your desired chart (works on any time frame, but is optimized for short- to medium-term trading).
Monitor Signals: Watch for buy and sell signals on the chart:
Buy Signal: Enter long positions when a green triangle appears below the candle.
Sell Signal: Enter short positions when a red triangle appears above the candle.
Exit Positions: Exit long positions when the Stochastic RSI crosses above the 50 level, and exit short positions when the Stochastic RSI crosses below the 50 level.
Indicator Display:
Stochastic RSI: A visual representation of the Stochastic RSI (K and D lines) is plotted below the price chart, with overbought (100), midpoint (50), and oversold (0) levels clearly marked.
200-period SMA: The 200-period moving average is plotted on the price chart, giving a clear indication of the broader trend direction (orange line).
Key Benefits:
Reversal Opportunities: This strategy allows traders to capture reversal trades by using an inverted logic where longs are taken in bearish conditions and shorts are taken in bullish conditions. This can help capitalize on potential trend exhaustion and reversals.
Clear and Simple Rules: The use of Stochastic RSI and the 200-period moving average ensures the strategy remains simple yet effective, making it easy for traders to follow.
Visual Alerts: The indicator provides clear buy and sell signals, making it easy for traders to spot trading opportunities in real-time without needing to monitor multiple conditions manually.
Limitations and Considerations:
Trend Changes: Since the strategy is designed to work during trend reversals, it might not perform as well during strong, prolonged trends where price continues moving in one direction without significant pullbacks.
Time Frame Suitability: While the indicator works on any time frame, shorter time frames may result in more frequent signals and higher trade frequency, whereas higher time frames will provide fewer but potentially stronger signals.
Conclusion:
The Stochastic RSI Strategy with Inverted Trend Logic is a powerful tool for traders looking to capture market reversals by entering trades against the prevailing trend direction based on momentum exhaustion. Its simple and clear logic, combined with easy-to-understand visual signals, makes it a versatile indicator for both novice and experienced traders.
Dynamic Jurik RSX w/ Fisher Transform█ Introduction
The Dynamic Jurik RSX with Fisher Transform is a powerful and adaptive momentum indicator designed for traders who seek a non-laggy view of price movements. This script is based on the classic Jurik RSX (Relative Strength Index). It also includes features such as the dynamic overbought and oversold limits, the Inverse Fisher Transform, trend display, slope calculations, and the ability to color extremes for better clarity.
█ Key Features:
• RSX: The Relative Strength Index (RSX) in this script is based on Jurik’s RSX, which is smoother than the traditional RSI and aims to reduce noise and lag. This script calculates the RSX using an exponential smoothing technique and adaptive adjustments.
• Inverse Fisher Transform: This script can optionally apply the Inverse Fisher Transform to the RSX, which helps to normalize the RSX values, compressing them between -1 and 1. The inverse transformation makes it easier to spot extreme values (overbought and oversold conditions) by enhancing the visual clarity of those extremes. It also smooths the curve over a user-defined period in hopes of providing a more consistent signal.
• Dynamic Limits: The dynamic overbought and oversold limits are calculated based on the RSX's recent high and low values. The limits adjust dynamically depending on market conditions, making them more relevant to current price action.
• Slope Display: The slope of the RSX is calculated as the rate of change between the current and previous RSX value. The slope is displayed as dots when the slope exceeds the threshold designated by the user, providing visual cues for momentum shifts.
• Trend Coloring: Optionally, the user can also enable a trend-based display. It is simply based on current value of RSX versus the previous one. If RSX is rising then the trend is bullish, if not, then the trend is bearish.
• Coloring Extremes: Users can configure the RSX to color the chart when prices enter extreme conditions, such as overbought or oversold zones, providing visual cues for market reversals.
█ Attached Chart Notes:
• Top Panel: Enabled dynamic limits, Trend display, standard Jurik RSX with 20 lookback period, and Slope display.
• Middle Panel: Enabled dynamic limits, Extremes display, and standard Jurik RSX with 20 lookback period.
• Bottom Panel: Enabled dynamic limits, Trend display, Inverse Fisher Transform with 14 lookback period and 9 smoothing period. and Slope display.
█ Credits:
Special thanks to Everget for providing the original script. The script was also slightly modified based on updates from outside sources.
█ Disclaimer:
This script is for educational purposes only and should not be considered financial advice. Always conduct your own research and consult a professional before making any trading decisions.
VWAP Periodic Close [LuxAlgo]The VWAP Periodic Close script offers an advanced tool for analyzing the Volume Weighted Average Price (VWAP) across various timeframes.
This tool enables traders to visualize VWAP close levels for daily, weekly, monthly, quarterly, and yearly periods, offering a comprehensive view of price behavior across different time frames. It helps in identifying key levels where the VWAP closes at the end of each specified period.
🔶 USAGE
This script is designed to enhance your trading strategy by plotting VWAP close levels on your chart for different time periods. This helps traders easily identify historical VWAP levels and analyze price action relative to these levels, particularly useful for identifying key support and resistance levels providing insights into potential future price behavior.
Supports VWAP closes for multiple timeframes, including historical periods (e.g., 3 months back, 3 quarters back, 3 years back). The labels provide context and detailed information about the VWAP close at a specific point in time and enhance the clarity and usefulness of the VWAP data presented on the chart.
Users can toggle the display of VWAP lines for different periods and customize the colors for each timeframe (e.g., distinct colors for monthly, quarterly, and yearly closes).
🔶 SETTINGS
The script offers a range of customizable settings to tailor the analysis to your trading needs.
🔹 Volume Weighted Average Price (VWAP)
VWAP Close Level: Toggle the display of VWAP levels at the end of each period (daily, weekly, monthly, quarterly, yearly).
VWAP Origin: Toggle the display of the VWAP line for each period.
VWAP Source: Choose the data source for VWAP calculations (default is HLC3).
Historical Closes: Define the number of historical VWAP levels to plot.
Line/Label Offset: Adjust the offset for positioning lines and labels on the chart.
🔹 Themes
Theme Selection: Choose between "Day," "Night," or "Custom" themes to adjust the color scheme of VWAP lines and labels.
Dynamic ALMA with signalsEnhanced ALMA with Signals
This TradingView indicator is designed to enhance your trading strategy by utilizing the Arnaud Legoux Moving Average (ALMA), a unique moving average that provides smoother price action while minimizing lag. The script not only plots the ALMA line but also dynamically adjusts its parameters based on market volatility to adapt to different trading conditions. Additionally, it highlights potential bounce points off the line, as well as breakout points, giving traders clear signals for potential support, resistance levels, and breakouts.
Key Features:
Dynamic ALMA Line with Glow Effect:
The core of this indicator is the ALMA line, which is dynamically adjusted to market volatility, providing more accurate signals in varying conditions. The line adapts to both trending and consolidating markets by adjusting its sensitivity in real time. A glow effect is created by plotting the ALMA line multiple times with increasing transparency, making it visually distinct.
Bounce Detection Signals with Volatility Filter:
The script detects and labels potential support and resistance bounces based on the crossover and crossunder of the price with the ALMA line, further filtered by a volatility condition. This helps in filtering out false signals during low-volatility conditions, making the signals more reliable.
Visual Enhancements:
Custom glow effects and labels for bounce detection enhance chart readability and help traders quickly identify key levels.
Inputs:
Base Window Size: Sets the number of bars used in calculating the ALMA, allowing traders to adjust the sensitivity of the moving average. This parameter is dynamically adjusted based on current market volatility.
Offset: Determines the position of the ALMA curve. Higher values move the curve further away from the price. This value remains constant for stability.
Sigma: Controls the smoothness of the ALMA curve; a higher sigma results in a smoother curve. This value also remains constant.
ATR Period and Threshold Multiplier: Used to calculate the Average True Range (ATR) for the volatility filter, which determines whether the market conditions are sufficiently volatile to consider bounce signals.
How It Works:
Dynamic ALMA Calculation:
The script calculates the ALMA (Arnaud Legoux Moving Average) using the ta.alma function, dynamically adjusting the window size based on market volatility measured by the ATR (Average True Range). This ensures that the ALMA line remains responsive in high-volatility environments and smooth in low-volatility conditions.
Glow Effect:
To create a glow effect around the ALMA line, the script plots the ALMA multiple times with varying degrees of transparency. This visual enhancement helps the ALMA line stand out on the chart.
Bounce Detection with Volatility Filter:
The script uses two conditions to detect potential bounces:
Support Bounce: Detected when the low of the bar crosses above the ALMA line (ta.crossover(low, alma)) and the close is above the ALMA, while the volatility filter confirms sufficient market activity. This suggests potential support at the ALMA line.
Resistance Bounce: Detected when the high of the bar crosses below the ALMA line (ta.crossunder(high, alma)) and the close is below the ALMA, while the volatility filter confirms sufficient market activity. This indicates potential resistance at the ALMA line.
Labeling Bounce Points:
When a bounce is detected, the script labels it on the chart:
Support Bounces (S): Labeled with a blue "S" below the bar where a support bounce is detected.
Resistance Bounces (R): Labeled with a white "R" above the bar where a resistance bounce is detected.
Usage:
This enhanced indicator helps traders visualize key support and resistance levels more effectively by dynamically adjusting the ALMA moving average to market conditions. By detecting and labeling potential bounce points and filtering these signals based on volatility, traders can better identify entry and exit points in their trading strategy. The dynamic adjustments and visual enhancements make it easier to spot critical levels quickly and adapt to changing market conditions.
Customize the inputs to fit your trading style, and use this enhanced ALMA indicator to gain a more refined understanding of market trends, potential reversals, and breakouts.
Relative Strength and MomentumRelative Strength and Momentum Indicator
Unlock deeper market insights with the Relative Strength and Momentum Indicator—a powerful tool designed to help traders and investors identify the strongest stocks and sectors based on relative performance. This custom indicator displays essential information on relative strength and momentum for up to 15 different symbols, compared against a benchmark index, all within a clear and organized table format.
Key Features:
1. Customizable Inputs: Choose up to 15 symbols to compare, along with a benchmark index, allowing you to tailor the indicator to your trading strategy. The 'Lookback Period' input defines how many weeks of data are analyzed for relative strength and momentum.
2. Relative Strength Calculation: For each selected symbol, the indicator calculates the Relative Strength (RS) against the chosen benchmark. This RS is further refined using an exponential moving average (EMA) to smooth the results, providing a more stable trend overview.
3. Momentum Analysis: Momentum is determined by analyzing the rate of change in relative strength. The indicator calculates a momentum rank for each symbol, based on its relative strength’s improvement or deterioration.
4. Percentile Ranking System: Each symbol is assigned a percentile rank (from 1 to 100) based on its relative strength compared to the others. Similarly, momentum rankings are also assigned from 1 to 100, offering a clear understanding of which assets are outperforming or underperforming.
5. Visual Indicators:
a. Green: Signals improving or stable relative strength and momentum.
b. Red: Indicates declining relative strength or momentum.
c. Aqua: Highlights symbols performing well on both relative strength and momentum—ideal candidates for further analysis.
6. Two Clear Tables:
a. Relative Strength Rank Table: Displays weekly rankings of relative strength for each symbol.
b. Momentum Table: Shows momentum trends, helping you identify which symbols are gaining or losing strength.
7. Color-Coded for Easy Analysis: The tables are color-coded to make analysis quick and straightforward. A green color means the symbol is performing well in terms of relative strength or momentum, while red indicates weaker performance. Aqua marks symbols that are excelling in both areas.
Use Case:
a. Sector Comparison: Identify which sectors or indexes are showing both relative strength and momentum to pick high-potential stocks. This allows you to align with broader market trends for improved trade entries.
b. Stock Selection: Quickly compare symbols within the same sector to find the stronger performers.
[ROC3] Rate of Change Candle ColorROC is a statistical indicator which tracks how much a security's price has changed over a certain period, showing whether momentum is picking up or slowing down. It’s a handy tool because it helps traders spot trend changes and understand how strong a trend is.
My ROC3 indicator will color the candlesticks based on the Rate of Change (ROC) and its Exponential Moving Average (EMA). This indicator helps traders visually identify bullish and bearish trends by applying color to the candles, making it easier to spot momentum shifts and trend changes.
How It Works:
Rate of Change (ROC): Calculates the percentage change in the price over a specified number of bars. This indicator measures the speed at which price changes.
EMA of ROC: Applies an Exponential Moving Average to the ROC values to provide a smoothed benchmark. The EMA helps to reduce noise and make trend identification more reliable.
Coloring Logic:
Bullish Candles (Green): When the current ROC is higher than the EMA of the ROC.
Bearish Candles (Red): When the current ROC is lower than the EMA of the ROC.
Settings:
ROC Length (Default: 60): The number of bars used to calculate the Rate of Change. Adjust this parameter to change the sensitivity of the ROC calculation.
ROC EMA Length (Default: 7): The number of bars used to calculate the Exponential Moving Average of the ROC. This length determines how smooth the EMA is. A shorter length reacts faster to price changes, while a longer length provides a smoother, slower response.
How to Use:
Apply the Indicator: Add the Rate of Change Candle Color indicator to your TradingView chart.
Interpret the Colors:
Green Candles: Indicate bullish momentum. The current ROC is greater than its EMA, suggesting upward pressure.
Red Candles: Indicate bearish momentum. The current ROC is less than its EMA, suggesting downward pressure.
Adjust Settings: Customize the ROC Length and ROC EMA Length based on your trading strategy. Shorter ROC lengths may capture more short-term trends, while longer lengths provide a broader view.
Combine with Other Indicators: Use the in conjunction with other technical indicators or chart patterns to enhance your trading analysis.
Example Use Case:
Trend Confirmation: Use the color changes to confirm bullish or bearish trends. Green candles can confirm uptrends, while red candles may signal downtrends or potential reversals.
Momentum Analysis: Monitor how frequently the ROC crosses above or below its EMA to gauge momentum strength and make informed trading decisions.
Note:
This indicator is designed to assist with trend analysis and should be used as part of a broader trading strategy. Always conduct your own research and analysis before making trading decisions.
Cherio...
RSI TreeRSI Tree is a simple way to compare the strength of several different instruments against each other.
The default is to compare MSFT, NVDA, TSLA, GOOG, META, AMZN, AAPL and NASDAQ. You could do the same for currency pairs and any other instruments available in Trading View. However, it makes the most sense to compare seven instruments to an eighth underlying instrument. As you can see in the default values, we included the NASDAQ as the eighth instrument since the other seven are part of the NASDAQ composite index. If you were to trade major currency pairs, then your eighth instrument would most likely be the U.S. Dollar (DXY).
The chart setup is important as well. You need to split your chart horizontally into 4 plots. Each plot would be at a different timing interval. The example shows 4 hr, 1 hr, 15 min and 5 min (left to right) charts. Now not only can we compare the instruments against each other, but we can do it across time to get an idea of the motion of each instrument.
Note, the instrument used on the chart is somewhat important. If the chart is set to a currency pair, but you have the RSI Tree setup for equities (as in the default) then you will get some odd behavior due to the times when these are open. Equities are 0930 to 1600 EST, whereas something like a currency would be open 24 hours a day.
Layout for default settings: www.tradingview.com
Bugs?
Kindly report any issues and I'll try to fix them promptly.
Thank you!
Lsma ATR | viResearchLsma ATR | viResearch
Conceptual Foundation and Innovation
The "Lsma ATR" indicator from viResearch combines the power of the Least Squares Moving Average (LSMA) with the Average True Range (ATR) to offer traders a dynamic approach to trend analysis and volatility management. The LSMA is highly regarded for its ability to fit a linear regression line to price data, providing a smooth and precise trend line with minimal lag. When paired with the ATR, which measures market volatility, this indicator not only tracks trend direction but also adapts to changes in volatility. The integration of both elements allows traders to identify potential trend reversals and assess the strength of trends in the context of market volatility. This combination makes the "Lsma ATR" a versatile tool for following trends while managing risk, as it responds quickly to changes in price direction while accounting for shifts in market volatility.
Technical Composition and Calculation
The "Lsma ATR" script consists of two primary components: the Least Squares Moving Average (LSMA) and the Average True Range (ATR). The LSMA is calculated over a user-defined length, providing a smoothed representation of the market trend based on linear regression. The ATR, also user-defined, is used to measure market volatility by calculating the average range between high and low prices over a specified period. By adding and subtracting the ATR from the LSMA, the indicator creates upper and lower boundaries that help define the market's current volatility-adjusted range. The script monitors for price crossovers with these boundaries to generate trend signals. When the price crosses above the upper boundary, it signals a potential upward trend. Conversely, when the price crosses below the lower boundary, it signals a possible downward trend. These boundaries dynamically adjust based on volatility, providing more accurate signals as market conditions change.
Features and User Inputs
The "Lsma ATR" script offers several customizable inputs, allowing traders to fine-tune the indicator to their trading preferences. The LSMA Length controls the lookback period for the LSMA, determining how smooth or responsive the trend line is. The ATR Length defines the period used for calculating the average volatility, affecting the width of the volatility-adjusted range. Additionally, the indicator includes alert conditions that notify traders when a trend shift occurs, either to the upside or downside.
Practical Applications
The "Lsma ATR" indicator is designed for traders who want to follow market trends while accounting for changes in volatility. The LSMA provides a clear, smoothed trend line that helps identify the direction of the market, while the ATR adjusts the boundaries based on the current volatility level. This combination makes the indicator particularly effective for detecting trend reversals, as the LSMA tracks the overall trend direction and price crossovers with the ATR boundaries provide early signals of potential trend changes. It also helps manage risk by understanding market volatility, allowing traders to adjust their strategies based on the strength of price movements. The indicator improves trend-following strategies by combining LSMA’s trend detection with ATR’s volatility adjustment, offering a nuanced approach in various market conditions.
Advantages and Strategic Value
The "Lsma ATR" script offers significant value by integrating the precision of the LSMA with the adaptability of the ATR. This dual approach allows traders to reduce noise in price data while responding to changes in volatility, leading to more accurate trend signals. The volatility-adjusted boundaries provide a dynamic range that helps traders avoid false signals and stay aligned with stronger trends. This makes the "Lsma ATR" an ideal tool for traders seeking to enhance their trend-following strategies while accounting for market volatility.
Alerts and Visual Cues
The script includes alert conditions that notify traders when the price crosses the ATR boundaries, signaling a potential trend change. The "Lsma ATR Long" alert is triggered when the price crosses above the upper boundary, indicating a potential upward trend, while the "Lsma ATR Short" alert signals a possible downward trend when the price crosses below the lower boundary. Visual cues, such as changes in the color of the LSMA line and shaded areas between the ATR boundaries, help traders quickly identify these trend shifts.
Summary and Usage Tips
The "Lsma ATR | viResearch" indicator combines the smoothing benefits of the LSMA with the volatility sensitivity of the ATR, providing traders with a robust tool for trend detection and volatility management. By incorporating this script into your trading strategy, you can improve your ability to detect trend reversals, confirm trend direction, and manage risk by adjusting to market volatility. The "Lsma ATR" offers a reliable and customizable solution for traders looking to enhance their technical analysis in both trending and volatile market environments.
Note: Backtests are based on past results and are not indicative of future performance.
Double Ribbon [ChartPrime]The Double Ribbon - ChartPrime indicator is a powerful tool that combines two sets of Simple Moving Averages (SMAs) into a visually intuitive ribbon, which helps traders assess market trends and momentum. This indicator features two distinct ribbons: one with a fixed length but changing offset (displayed in gray) and another with varying lengths (displayed in colors). The relationship between these ribbons forms the basis of a trend score, which is visualized as an oscillator. This comprehensive approach provides traders with a clear view of market direction and strength.
◆ KEY FEATURES
Dual Ribbon Visualization : Displays two sets of 11 SMAs—one in a neutral gray color with a fixed length but varying offset, and another in vibrant colors with lengths that increase incrementally.
Trend Score Calculation : The trend score is derived from comparing each SMA in the colored ribbon with its corresponding SMA in the gray ribbon. If a colored SMA is above its gray counterpart, a positive score is added; if below, a negative score is assigned.
// Loop to calculate SMAs and update the score based on their relationships
for i = 0 to length
// Calculate SMA with increasing lengths
sma = ta.sma(src, len + 1 + i)
// Update score based on comparison of primary SMA with current SMA
if sma1 < sma
score += 1
else
score -= 1
// Store calculated SMAs in the arrays
sma_array.push(sma)
sma_array1.push(sma1 )
Dynamic Trend Analysis : The score oscillator provides a dynamic analysis of the trend, allowing traders to quickly gauge market conditions and potential reversals.
Customizable Ribbon Display : Users can toggle the display of the ribbon for a cleaner chart view, focusing solely on the trend score if desired.
◆ USAGE
Trend Confirmation : Use the position and color of the ribbon to confirm the current market trend. When the colored ribbon consistently stays above the gray ribbon, it indicates a strong uptrend, and vice versa for a downtrend.
Momentum Assessment : The score oscillator provides insight into the strength of the current trend. Higher scores suggest stronger trends, while lower scores may indicate weakening momentum or a potential reversal.
Strategic Entry/Exit Points : Consider using crossovers between the ribbons and changes in the score oscillator to identify potential entry or exit points in trades.
⯁ USER INPUTS
Length : Sets the base length for the primary SMAs in the ribbons.
Source : Determines the price data used for calculating the SMAs (e.g., close, open).
Ribbon Display Toggle : Allows users to show or hide the ribbon on the chart, focusing on either the ribbon, the trend score, or both.
⯁ CONCLUSION
The Double Ribbon indicator offers traders a comprehensive tool for analyzing market trends and momentum. By combining two ribbons with varying SMA lengths and offsets, it provides a clear visual representation of market conditions. The trend score oscillator enhances this analysis by quantifying trend strength, making it easier for traders to identify potential trading opportunities and manage risk effectively.
DW - Ứng dụng lý thuyết DOWỨng dụng Lý thuyết DOW trong mua và bán
Tôi đã set up
MSB - đỏ : Break để GIẢM
MSB - xanh : Break để TĂNG
Gaussian Filter [BigBeluga]The Gaussian Filter - BigBeluga indicator is a trend-following tool that uses a Gaussian filter to smooth price data and identify directional shifts in the market. It provides dynamic signals for entering and exiting trades based on trend changes, helping traders stay aligned with the market's momentum. What sets this indicator apart is its ability to display precise entry and exit points with real-time tracking of percentage price changes, making it ideal for trend-based strategies.
SP500:
NIFTY50:
🔵 KEY FEATURES & USAGE
◉ Gaussian Filter Trend Line:
//@function GaussianFilter is used for smoothing, reducing noise, and computing derivatives of data.
//@param src (float) The source data (e.g., close price) to be smoothed.
//@param params (GaussianFilterParams) Gaussian filter parameters that include length and sigma.
//@returns (float) The smoothed value from the Gaussian filter.
gaussian_filter(float src, params) =>
var float weights = array.new_float(params.length) // Array to store Gaussian weights
total = 0.0
pi = math.pi
for i = 0 to params.length - 1
weight = math.exp(-0.5 * math.pow((i - params.length / 2) / params.sigma, 2.0))
/ math.sqrt(params.sigma * 2.0 * pi)
weights.set(i, weight)
total := total + weight
for i = 0 to params.length - 1
weights.set(i, weights.get(i) / total)
sum = 0.0
for i = 0 to params.length - 1
sum := sum + src * weights.get(i)
sum
The core functionality of the Gaussian Filter line is to show trend direction. When the trend line increases four times consecutively, it indicates an uptrend signal. Similarly, if it decreases four times in a row, it signals a downtrend. The smoothness of the filter helps traders stay on the right side of the market by filtering out noise and emphasizing the dominant trend direction.
◉ Entry and Exit Levels with Real-Time Price and Performance Data:
Each time the indicator detects a trend change, it plots an entry or exit level on the chart. For an uptrend, an entry level is marked, and for a downtrend, an exit level is plotted. These levels display the price at the time of the signal.
While the trend is ongoing, the indicator tracks the percentage change in price from the initial entry or exit signal to the current bar, updating in real-time. When a trend concludes, it displays the total percentage change from the entry or exit point to the trend's end. This feature provides valuable insights into how much the price has moved during each trend phase and allows traders to monitor the performance of each trade.
◉ Color-Coded Candlestick Representation with Trend Shift Alerts:
In addition to coloring the candlesticks based on the trend direction, the indicator also uses gray candles to highlight potential early trend shifts. For example, if the Gaussian Filter detects a downtrend but the price moves above the filter line, the candles turn gray, signaling a possible reversal or shift in momentum. Similarly, in an uptrend, if the price moves below the Gaussian Filter line, the candles turn gray as an early indication of potential bearish momentum. This visual cue helps traders stay alert to possible faster shifts in market direction, allowing for quicker decision-making.
🔵 CUSTOMIZATION
Length and Sigma for Gaussian Filter:
Adjust the length and sigma parameters to control how the Gaussian Filter smooths the price data. A longer length provides smoother trend lines, while adjusting sigma can fine-tune the level of smoothing applied.
Levels Display and Candle Coloring:
You can toggle the visibility of entry and exit levels as well as enable or disable the dynamic coloring of candlesticks based on the trend direction. The additional gray color setting provides an extra layer of information, allowing you to spot potential trend reversals early.
🔵 CONCLUSION
The Gaussian Filter indicator is a powerful tool for identifying and following market trends. By providing clear entry and exit signals, along with real-time tracking of price changes, it gives traders a structured way to manage trades and monitor performance. The color-coded candles, including gray to highlight possible trend shifts, add another dimension to visualizing market dynamics. The added flexibility of customizing colors and trend levels makes it a versatile indicator suitable for both trend-following and reversal strategies.
Rational Qaudratic Kernel Elder Force Index Introduction:
The Rational Quadratic Kernel Elder Force Index is a versatile and mathematically sophisticated technical indicator that enhances the traditional Elder Force Index (EFI) by applying a rational quadratic kernel smoothing technique. This advanced regression method is designed to provide traders with a more adaptive and accurate tool for measuring the strength behind price movements, incorporating the influence of volume. This indicator does not predict future price movements, but it offers a clearer view of market dynamics through its advanced smoothing mechanism.
Key Features:
Elder Force Index Foundation:
The core of this indicator is built on the Elder Force Index, a popular tool developed by Dr. Alexander Elder. The EFI is a momentum indicator that calculates the strength of price movements by combining both price change and volume.
Rational Quadratic Kernel Smoothing: The indicator incorporates a rational quadratic kernel for smoothing, providing traders with a more refined view of price action trends. This kernel is highly adjustable based on user inputs, allowing for flexible tuning to suit individual strategies.
Adaptive Time Frame Weighting:
Through the adjustable parameter Relative Weighting (r), traders can modify the influence of different time frames. Lower values give more weight to longer time frames, while higher values make the behavior resemble that of a Gaussian kernel.
Dynamic Visualization:
The indicator visually displays the smoothed force index as a color-coded line. It dynamically changes color based on market conditions—green when the smoothed force index is positive and red when it is negative—providing a clear and easy-to-read signal for traders.
How It Works:
The Elder Force Index is calculated by multiplying the price change between two bars with the volume of the current bar.
A rational quadratic kernel regression is applied to this raw EFI data. The smoothing process provides a more stable and reliable signal by reducing noise, particularly in volatile markets.
The user-defined parameters, such as the length of the smoothing window and the relative weighting factor, allow traders to customize the indicator to suit their specific trading style or asset class.
User Inputs:
Length:
Sets the smoothing window for the kernel regression. A longer length results in more significant smoothing.
Relative Weighting (r):
Controls the influence of different time frames in the smoothing process. A smaller value emphasizes longer-term data, while a higher value makes it behave more like a traditional Gaussian kernel.
Source:
Select the price source (default is the closing price) for the calculations.
[DarkTrader] Strong High LowThe Strong High Low indicator calculates strong high and low pivots based on price action and the Average True Range (ATR). The calculation for both the high and low pivots involves analyzing recent candle behavior to identify significant levels where price reversal is likely. Specifically, it looks for consecutive bearish or bullish candles to determine whether a strong high or low has been established.
Indicator In Use :
For strong highs, the indicator checks if three consecutive candles are bearish, meaning their closing price is lower than their opening price. It further examines prior candles to confirm that they followed a specific pattern where a reversal could occur. If one of these earlier candles closed higher than it opened, the indicator assumes that this was a strong high, and it records either the high of the second or third candle from the pattern, depending on their relationship to each other.
Similarly, for strong lows, the indicator searches for three consecutive bullish candles where the close is higher than the open. The algorithm then reviews prior candles in the sequence to ensure that the market condition supports a potential low pivot. If an earlier candle closes lower than it opens, it marks this as a strong low. The final low point for the pivot is chosen based on a comparison between the second and third candles of the pattern.
Once the high and low pivots are determined, the indicator adjusts these levels using the ATR value. The ATR is added to the strong high pivot and subtracted from the strong low pivot to create slightly modified levels. This helps accommodate market volatility by widening the range of the high and low pivots, making the levels more reliable in reflecting potential reversal zones.
Finally, the strong high and low pivot lines are drawn on the chart, extending both to the left and right of the current price, based on the user-defined offset values. These lines give a visual cue of where key resistance and support levels exist, with labels marking the exact pivot values for easy reference.
