MACD with DPO Strategy by NGExplanation of the MACD with DPO Strategy:
MACD (Moving Average Convergence Divergence):
The MACD is a trend-following indicator that shows the relationship between two moving averages of a price.
In this script:
We calculate the MACD line by subtracting the slow moving average (typically 26-period EMA) from the fast moving average (typically 12-period EMA).
The Signal line is calculated as a 9-period EMA of the MACD line.
The Histogram is the difference between the MACD line and the Signal line, indicating the momentum of the price trend.
Buy Condition: The script generates a buy signal when the MACD histogram crosses from negative to positive (indicating a bullish momentum) and DPO is also positive.
Sell Condition: The script generates a sell signal when the MACD histogram crosses from positive to negative (indicating a bearish momentum) and DPO is also negative.
DPO (Detrended Price Oscillator):
The DPO removes long-term trends from prices, making it easier to identify shorter-term cycles or oscillations.
In this script:
We calculate the DPO by subtracting a shifted simple moving average (SMA) from the close price. The shifting period depends on half the specified period.
We also calculate the DPO SMA as a 30-period EMA of the DPO values.
DPO Color: The DPO line is colored green when the DPO is above zero (indicating upward momentum) and red when it is below zero (indicating downward momentum). The histogram is also colored based on whether the DPO is positive or negative.
Plotting and Alerts:
The script plots the MACD, Signal, and Histogram on the chart.
Additionally, it plots the DPO and its SMA with different colors depending on whether the DPO is above or below zero.
Buy Signal: A green arrow labeled "BUY" is plotted below the bar when both MACD and DPO indicate a bullish condition.
Sell Signal: A red arrow labeled "SELL" is plotted above the bar when both MACD and DPO indicate a bearish condition.
Background colors are used to highlight the chart whenever a buy or sell condition occurs.
The script also includes alerts for both buy and sell signals, allowing users to set notifications when conditions are met.
How to Use:
Identify Buy and Sell Signals:
The script generates a Buy signal when:
The MACD histogram crosses from negative to positive (bullish momentum), and
The DPO is above zero (indicating upward momentum).
The script generates a Sell signal when:
The MACD histogram crosses from positive to negative (bearish momentum), and
The DPO is below zero (indicating downward momentum).
Chart Visualization:
The MACD histogram and Signal line help visualize the momentum and potential trend reversal.
The DPO and DPO SMA help visualize the shorter-term price cycles.
The signals (Buy and Sell) will be plotted on the chart with arrows indicating entry points.
Customization:
You can adjust the MACD and DPO parameters (such as fast_length, slow_length, period_) to fit your trading style or market conditions.
The script can be used in any timeframe depending on your strategy (e.g., intraday trading or longer-term trading).
Example Scenario:
If you're looking for potential buy opportunities, wait for the script to generate a buy signal (green arrow) where the MACD histogram has shifted to positive, and DPO is also in the green (above zero). This signals that both momentum and cycle direction are aligned for a potential upward movement.
Conversely, for sell opportunities, wait for the red arrow where MACD momentum is turning negative and DPO is also negative (below zero), indicating a bearish condition.
This combination of MACD and DPO allows traders to identify stronger and more reliable entry/exit points by confirming the trend with the MACD and detecting shorter-term price cycles with the DPO.
Cari dalam skrip untuk "the script"
Ticker Tape█ OVERVIEW
This indicator creates a dynamic, scrolling display of multiple securities' latest prices and daily changes, similar to the ticker tapes on financial news channels and the Ticker Tape Widget . It shows realtime market information for a user-specified list of symbols along the bottom of the main chart pane.
█ CONCEPTS
Ticker tape
Traditionally, a ticker tape was a continuous, narrow strip of paper that displayed stock prices, trade volumes, and other financial and security information. Invented by Edward A. Calahan in 1867, ticker tapes were the earliest method for electronically transmitting live stock market data.
A machine known as a "stock ticker" received stock information via telegraph, printing abbreviated company names, transaction prices, and other information in a linear sequence on the paper as new data came in. The term "ticker" in the name comes from the "tick" sound the machine made as it printed stock information. The printed tape provided a running record of trading activity, allowing market participants to stay informed on recent market conditions without needing to be on the exchange floor.
In modern times, electronic displays have replaced physical ticker tapes. However, the term "ticker" remains persistent in today's financial lexicon. Nowadays, ticker symbols and digital tickers appear on financial news networks, trading platforms, and brokerage/exchange websites, offering live updates on market information. Modern electronic displays, thankfully, do not rely on telegraph updates to operate.
█ FEATURES
Requesting a list of securities
The "Symbol list" text box in the indicator's "Settings/Inputs" tab allows users to list up to 40 symbols or ticker Identifiers. The indicator dynamically requests and displays information for each one. To add symbols to the list, enter their names separated by commas . For example: "BITSTAMP:BTCUSD, TSLA, MSFT".
Each item in the comma-separated list must represent a valid symbol or ticker ID. If the list includes an invalid symbol, the script will raise a runtime error.
To specify a broker/exchange for a symbol, include its name as a prefix with a colon in the "EXCHANGE:SYMBOL" format. If a symbol in the list does not specify an exchange prefix, the indicator selects the most commonly used exchange when requesting the data.
Realtime updates
This indicator requests symbol descriptions, current market prices, daily price changes, and daily change percentages for each ticker from the user-specified list of symbols or ticker identifiers. It receives updated information for each security after new realtime ticks on the current chart.
After a new realtime price update, the indicator updates the values shown in the tape display and their colors.
The color of the percentages in the tape depends on the change in price from the previous day . The text is green when the daily change is positive, red when the value is negative, and gray when the value is 0.
The color of each displayed price depends on the change in value from the last recorded update, not the change over a daily period. For example, if a security's price increases in the latest update, the ticker tape shows that price with green text, even if the current price is below the previous day's closing price. This behavior allows users to monitor realtime directional changes in the requested securities.
NOTE: Pine scripts execute on realtime bars when new ticks are available in the chart's data feed. If no new updates are available from the chart's realtime feed, it may cause a delay in the data the indicator receives.
Ticker motion
This indicator's tape display shows a list of security information that incrementally scrolls horizontally from right to left after new chart updates, providing a dynamic visual stream of current market data. The scrolling effect works by using a counter that increments across successive intervals after realtime ticks to control the offset of each listed security. Users can set the initial scroll offset with the "Offset" input in the "Settings/Inputs" tab.
The scrolling rate of the ticker tape display depends on the realtime ticks available from the chart's data feed. Using the indicator on a chart with frequent realtime updates results in smoother scrolling. If no new realtime ticks are available in the chart's feed, the ticker tape does not move. Users can also deactivate the scrolling feature by toggling the "Running" input in the indicator's settings.
█ FOR Pine Script™ CODERS
• This script utilizes dynamic requests to iteratively fetch information from multiple contexts using a single request.security() instance in the code. Previously, `request.*()` functions were not allowed within the local scopes of loops or conditional structures, and most `request.*()` function parameters, excluding `expression`, required arguments of a simple or weaker qualified type. The new `dynamic_requests` parameter in script declaration statements enables more flexibility in how scripts can use `request.*()` calls. When its value is `true`, all `request.*()` functions can accept series arguments for the parameters that define their requested contexts, and `request.*()` functions can execute within local scopes. See the Dynamic requests section of the Pine Script™ User Manual to learn more.
• Scripts can execute up to 40 unique `request.*()` function calls. A `request.*()` call is unique only if the script does not already call the same function with the same arguments. See this section of the User Manual's Limitations page for more information.
• This script converts a comma-separated "string" list of symbols or ticker IDs into an array . It then loops through this array, dynamically requesting data from each symbol's context and storing the results within a collection of custom `Tape` objects . Each `Tape` instance holds information about a symbol, which the script uses to populate the table that displays the ticker tape.
• This script uses the varip keyword to declare variables and `Tape` fields that update across ticks on unconfirmed bars without rolling back. This behavior allows the script to color the tape's text based on the latest price movements and change the locations of the table cells after realtime updates without reverting. See the `varip` section of the User Manual to learn more about using this keyword.
• Typically, when requesting higher-timeframe data with request.security() using barmerge.lookahead_on as the `lookahead` argument, the `expression` argument should use the history-referencing operator to offset the series, preventing lookahead bias on historical bars. However, the request.security() call in this script uses barmerge.lookahead_on without offsetting the `expression` because the script only displays results for the latest historical bar and all realtime bars, where there is no future information to leak into the past. Instead, using this call on those bars ensures each request fetches the most recent data available from each context.
• The request.security() instance in this script includes a `calc_bars_count` argument to specify that each request retrieves only a minimal number of bars from the end of each symbol's historical data feed. The script does not need to request all the historical data for each symbol because it only shows results on the last chart bar that do not depend on the entire time series. In this case, reducing the retrieved bars in each request helps minimize resource usage without impacting the calculated results.
Look first. Then leap.
Risk Management Calculator with Fees and Take Profit [CHE]Risk Management Calculator with Fees and Take Profit
Welcome to the Risk Management Calculator with Fees and Take Profit script! This powerful tool is designed to help traders manage their risk effectively, calculate leverage, and set take profit targets. The script is inspired by and builds upon the ideas from the following TradingView script: ().
This script is inspired by and builds upon the ideas from the following TradingView script:
Features
1. Portfolio Size Input: Enter the size of your portfolio to accurately calculate your risk and leverage.
2. Max Loss Percent Input: Specify the maximum percentage of your portfolio that you are willing to risk on a single trade.
3. Max Leverage Input: Set the maximum leverage you are comfortable using.
4. Trading Fee Input: Include trading fees in your calculations to get a more realistic view of your potential losses and gains.
5. ATR Settings: Configure the ATR period and multiplier to calculate your stop loss and take profit levels.
6. RSI Settings: Adjust the RSI period for trend analysis.
How to Use
Portfolio Size
- Description: This is the total value of your trading account.
- Input: `portfolioSize`
- Default Value: 100
- Minimum Value: 0.001
Max Loss Percent
- Description: The maximum percentage of your portfolio you are willing to lose on a single trade.
- Input: `maxLossPercent`
- Default Value: 3%
- Range: 0.1% to 100%
Max Leverage
- Description: The maximum leverage you wish to use.
- Input: `maxLeverage`
- Default Value: 125
- Range: 1 to 125
Trading Fee
- Description: The fee percentage you pay per trade.
- Input: `feeRate`
- Default Value: 1%
- Range: 0% to 10%
ATR Settings
- ATR Period: Number of bars used to calculate the Average True Range.
- Input: `atrPeriod`
- Default Value: 5
- ATR Multiplier: Multiplier for ATR to set stop loss levels.
- Input: `atrMultiplier`
- Default Value: 2.0
Take Profit Multiplier
- Description: Multiplier for ATR to set take profit levels.
- Input: `takeProfitMultiplier`
- Default Value: 2.0
RSI Settings
- RSI Period: Period for the RSI calculation.
- Input: `rsiPeriod`
- Default Value: 14
Dashboard
The script includes a customizable dashboard that displays the following information:
- Portfolio Size
- Maximum Loss Amount
- Entry Price
- Stop Loss Price
- Stop Loss Percentage
- Calculated Leverage
- Order Value
- Order Quantity
- Trend Direction
- Adjusted Maximum Loss Percentage
- Take Profit Price
Dashboard Settings
- Location: Choose the position of the dashboard on the chart.
- Options: 'Top Right', 'Bottom Right', 'Top Left', 'Bottom Left'
- Size: Adjust the size of the dashboard text.
- Options: 'Tiny', 'Small', 'Normal', 'Large'
- Text/Frame Color: Set the color for the text and frame of the dashboard.
Underlying Principles and Assumptions
Leverage Calculation
The leverage calculation is fundamental to risk management in trading. It ensures that the risk per trade does not exceed a specified percentage of the portfolio. This calculation takes into account the potential loss from the entry price to the stop loss level, adjusted for trading fees. By dividing the maximum acceptable loss by the total potential loss (including fees), we derive a leverage that limits the exposure per trade. This approach helps traders avoid over-leveraging, which can lead to significant losses.
ATR and Stop Loss
The Average True Range (ATR) is used to set stop loss levels because it measures market volatility. A higher ATR indicates more volatility, which means wider stop losses are needed to avoid being prematurely stopped out by normal market fluctuations. By using an ATR multiplier, the stop loss is dynamically adjusted based on current market conditions, providing a more robust risk management strategy.
Take Profit Calculation
The take profit level is calculated as a multiple of the ATR, ensuring that it is set at a realistic level relative to market volatility. This method aims to capture significant price movements while avoiding the noise of smaller fluctuations. Setting take profit targets this way helps in locking in profits when the market moves favorably.
RSI for Trend Confirmation
The Relative Strength Index (RSI) is used to confirm the trend direction. An RSI above 50 typically indicates a bullish trend, while an RSI below 50 indicates a bearish trend. By aligning trades with the prevailing trend, the script increases the probability of successful trades. This trend confirmation helps in making informed decisions about leverage and position sizing.
Risk Color Coding
The script uses color coding to visually indicate the risk level and trend direction. Green indicates a favorable condition for long trades, red for short trades, and gray for neutral conditions. This intuitive color coding aids in quickly assessing the market conditions and making timely trading decisions.
Conclusion
This script aims to provide a comprehensive risk management tool for traders. By integrating portfolio size, leverage, fees, ATR, and RSI, it helps in making informed trading decisions. We hope you find this tool useful in your trading journey.
Happy Trading!
Sessions [UkutaLabs]█ OVERVIEW
Sessions is a trading toolkit that displays the different trading sessions on your chart during a trading day. By default, Sessions displays the four standard trading sessions; New York, Tokyo, London, and Sydney.
Each of the four sessions can be toggled, and the Sessions indicator is completely customizable, allowing users to define their own sessions to be generated by the script.
The aim of this script is to improve the trading experience of users by automatically displaying information about each default or custom session to the user.
█ USAGE
This script will automatically detect and label different market sessions. By default, the script will identify the four standard trading sessions, but each of these can be toggled off in the settings.
However, users are not limited to these four trading sessions and have the ability to define their own sessions to be identified by the script. When a session begins, the script will automatically start outlining the market data of that session, including the high and low of the period that is represented by the session.
If the market is within two or more sessions at the same time, then each session will be treated individually and will overlap with each other.
The sessions will be identified as a colored box surrounding the market data of the period that it represents, and a label will be displayed above the box to identify the session that it represents. The label, color and period of each session is completely customizable.
The user can also adjust all sessions at once to account for timezones in the settings.
█ SETTINGS
Session 1
• Session 1: Determines whether or not this session will be drawn by the script.
• A string field to determine the name of the session that will be displayed above the session range.
• Two time fields representing the start and finish of the session.
• A color field to determine the color of the range and label.
Session 2
• Session 2: Determines whether or not this session will be drawn by the script.
• A string field to determine the name of the session that will be displayed above the session range.
• Two time fields representing the start and finish of the session.
• A color field to determine the color of the range and label.
Session 3
• Session 3: Determines whether or not this session will be drawn by the script.
• A string field to determine the name of the session that will be displayed above the session range.
• Two time fields representing the start and finish of the session.
• A color field to determine the color of the range and label.
Session 4
• Session 4: Determines whether or not this session will be drawn by the script.
• A string field to determine the name of the session that will be displayed above the session range.
• Two time fields representing the start and finish of the session.
• A color field to determine the color of the range and label.
Time Zones
• UTC +/-: Determines the offset of each session. Enter - before the number to represent a negative offset.
Dynamic Auto Fibonacci Retracement + SMA
Explanation of the Script:
This script, "Dynamic Auto Fibonacci Retracement + SMA," combines Fibonacci retracement levels with Simple Moving Averages (SMA) to create a comprehensive tool for technical analysis. The purpose of this script is to help traders identify potential support and resistance levels, determine trend direction, and identify dynamic retracement points across multiple timeframes. By combining these indicators, traders gain a holistic view of market conditions, enabling them to make more informed trading decisions.
How Components Work Together:
Fibonacci Retracement Levels:
Automatically calculated based on user-defined lookback periods, these levels are plotted to help identify key areas where price might reverse or continue its trend. The script uses persistent arrays to manage and plot Fibonacci lines and labels, dynamically adjusting them as new data comes in. This ensures that traders always have up-to-date retracement levels on their charts.
Simple Moving Averages (SMA):
SMAs are overlaid on the chart to indicate the trend direction. Different SMA periods can be set for various timeframes, providing a multi-timeframe analysis that helps traders understand the broader market context. The SMA is calculated using the ta.sma function, and users can customize the lookback period to fit their trading strategy.
Trend Analysis:
The script incorporates additional indicators such as RSI, MACD, Bollinger Bands, and ADX to confirm trend direction. These indicators are used in conjunction to provide a robust framework for identifying whether the market is in an uptrend, downtrend, or moving sideways. This multi-indicator approach helps reduce false signals and improve trend detection accuracy.
Support and Resistance Detection:
The script highlights key support and resistance levels by identifying recent highs and lows. This feature provides traders with additional context for potential price reversals and helps them make more strategic trading decisions. Support and resistance levels are plotted using the ta.valuewhen function, which ensures that they are accurately identified and displayed on the chart.
Higher Timeframe Analysis:
By incorporating higher timeframe Fibonacci levels and SMAs, the script allows traders to consider broader market trends. This higher timeframe analysis helps traders align their short-term trades with the overall market direction, improving the likelihood of successful trades. The script uses the request.security function to fetch higher timeframe data, ensuring that the analysis is accurate and relevant.
Customizable Settings:
The script offers a wide range of customizable settings, allowing users to adjust colors, styles, and advanced features to tailor the script to their specific trading needs and preferences. This flexibility makes the script suitable for various trading strategies and styles, from scalping to long-term investing. Users can adjust settings such as the lookback period, SMA period, line colors, and more, ensuring that the script fits seamlessly into their existing trading setup.
How to Use the Script:
Set Lookback Periods: Adjust the lookback periods for Fibonacci levels and SMAs based on your trading strategy.
Customize Appearance: Use the color and style settings to match the script's appearance to your charting preferences.
Enable Advanced Features: Turn on features such as support/resistance detection and higher timeframe analysis to enhance your market analysis.
Monitor Trend Direction: Use the combined indicators to confirm trend direction and identify potential entry and exit points.
Adjust Settings: Fine-tune the script's settings to align with your specific trading needs and preferences.
By following these steps, traders can effectively use the "Dynamic Auto Fibonacci Retracement + SMA" script to improve their technical analysis and make more informed trading decisions. This script's unique combination of indicators and customizable features provides a powerful tool for traders looking to enhance their market analysis and trading strategies.
Daniels Script v2 EMA 4h y DTitle:
"EMA 200 Dynamic Projection on 4H and Daily Charts"
Description:
"This script is designed to provide traders with a comprehensive view of market trends by displaying the 200-period Exponential Moving Average (EMA) on both 4-hour and daily charts simultaneously. Unlike typical EMA representations, this script enhances user decision-making by projecting the potential future path of these EMAs using a dynamic slope calculation.
The dynamic projection feature calculates the slope based on recent changes in the EMA, allowing traders to visualize potential future trends more accurately. This innovative approach helps in identifying potential areas of support and resistance before they are fully formed, offering traders a strategic advantage in planning their entries and exits.
Key Features:
Dual Time Frame Analysis: View 200-period EMAs for both 4-hour and daily charts on a single graph.
Dynamic EMA Projections: Projected using a calculated slope from recent EMA changes, presented as dotted lines for clear distinction.
Enhanced Trend Visualization: Helps in recognizing trend continuations or reversals early, aiding in risk management and decision-making processes.
Usage:
Simply add the script to your chart, and the EMAs along with their projections will automatically be displayed. The 4-hour EMA is shown in green, while the daily EMA is in red. Projections extend from the last known data point, providing a visual guide to potential future movements.
This script is unique in its approach to combining real-time EMA analysis with predictive modeling, making it a valuable tool for traders looking to enhance their technical analysis capabilities."
## SPANISH
Título del Script:
"Proyección Dinámica de la EMA 200 en Gráficos de 4H y Diarios"
Descripción del Script:
"Este script está diseñado para proporcionar a los traders una visión integral de las tendencias del mercado al mostrar la Media Móvil Exponencial (EMA) de 200 periodos tanto en los gráficos de 4 horas como diarios simultáneamente. A diferencia de las representaciones típicas de la EMA, este script mejora la toma de decisiones del usuario al proyectar el posible camino futuro de estas EMAs utilizando un cálculo de pendiente dinámico.
La función de proyección dinámica calcula la pendiente basada en cambios recientes en la EMA, permitiendo a los traders visualizar tendencias futuras potenciales con mayor precisión. Este enfoque innovador ayuda a identificar áreas potenciales de soporte y resistencia antes de que se formen completamente, ofreciendo a los traders una ventaja estratégica en la planificación de sus entradas y salidas.
Características Clave:
Análisis de Doble Marco Temporal: Visualiza las EMAs de 200 periodos para los gráficos de 4 horas y diarios en un solo gráfico.
Proyecciones Dinámicas de la EMA: Proyectadas utilizando una pendiente calculada a partir de cambios recientes en la EMA, presentadas como líneas punteadas para una clara distinción.
Visualización Mejorada de Tendencias: Ayuda en el reconocimiento temprano de continuaciones o reversos de tendencias, asistiendo en la gestión de riesgos y en los procesos de toma de decisiones.
Uso:
Simplemente añade el script a tu gráfico, y las EMAs junto con sus proyecciones se mostrarán automáticamente. La EMA de 4 horas se muestra en verde, mientras que la EMA diaria está en rojo. Las proyecciones se extienden desde el último punto de datos conocido, proporcionando una guía visual hacia movimientos futuros potenciales.
Este script es único en su enfoque de combinar análisis de EMA en tiempo real con modelado predictivo, convirtiéndolo en una herramienta valiosa para traders que buscan mejorar sus capacidades de análisis técnico."
Ichimoku Slope Filtered Signals [UAlgo]
🔶Description:
The "Ichimoku Slope Filtered Signals" indicator is designed to provide trading signals based on the Ichimoku Cloud indicator while incorporating a slope filter. The Ichimoku Cloud is a comprehensive indicator that defines support and resistance, identifies trend direction, and provides trading signals. This script enhances the traditional Ichimoku Cloud signals by incorporating a slope filter, which helps to confirm the strength and direction of the trend.
🔶Key Features:
Ichimoku Cloud Parameters: Users can customize parameters such as Tenkan, Kijun, and Senkou Span lengths, along with multipliers, to adjust the sensitivity of the Ichimoku Cloud.
Slope Filter Settings: Users can specify the number of bars to measure the slope and the lookback period for trend measurement. Additionally, there are options to filter Ichimoku signals based on slope thresholds.
Normalized Slope: The indicator calculates the normalized slope of the selected data series (in this case, Tenkan-sen) and plots it alongside the Ichimoku Cloud.
Signal Generation: Trading signals are generated based on crossovers and crossunders of the Tenkan-sen and Kijun-sen lines of the Ichimoku Cloud. These signals can be further filtered based on the normalized slope of the selected data series.
🔶 Usage:
Customization: Traders can customize the parameters of the Ichimoku Cloud and slope filter according to their trading strategy and risk tolerance.
Interpretation of Signals:
Crossover: A buy signal is generated when the Tenkan-sen line crosses above the Kijun-sen line. This signal can be further filtered based on the normalized slope.
Crossunder: A sell signal is generated when the Tenkan-sen line crosses below the Kijun-sen line. Similar to the buy signal, this can also be filtered based on the normalized slope.
Trend Confirmation: The normalized slope provides additional confirmation of the strength and direction of the trend. A positive slope indicates an upward trend, while a negative slope indicates a downward trend.
Example:
Disclaimer:
Not Financial Advice: This script is provided for educational purposes only and should not be considered financial advice. Traders should conduct their own research and/or consult with a qualified financial advisor before making any investment decisions based on this script.
Risk of Loss: Trading in financial markets involves risk of loss, and past performance is not indicative of future results. Users of this script should be aware of the risks involved in trading and should only trade with capital they can afford to lose.
No Guarantees: There is no guarantee of success or profitability when using this script. Market conditions can change rapidly, and trading results may vary.
Use at Own Risk: The author of this script (UAlgo) does not assume any responsibility for losses incurred as a result of using this script. Traders use this script at their own risk and discretion.
Terms of Use: This script is subject to the terms of the Mozilla Public License 2.0. Users are encouraged to review the license terms before using or distributing the script.
[ChasinAlts]Top-Wicked Good S/R LinesHello Tradeurs, as per usual, I hope everyone is having a FAN-FRIGGIN-TASTIC day. With the soon incoming bull market approaching fast(Nov 7, 2022), there are a few ideas that I've really been trying to push out to help nail a few coins as they are near their bottom peak of this closing Bear Market. This one may seem very similar to the last one I posted but I think this one takes the cake...esp when you see the next script from my 'Market Overview' series that I will be publishing shortly after this one as it is utilizing this new script for a market scanner that will be SUPER legit and profitable. Though it is alway nice to be noticed, I'm glad that I'm relatively unpopular so the few people that are now following me can have some time to make some money with some of these scripts I'm trying to pump out for the benefit of the community. I will rarely give my full analysis of how I take in and utilize these scripts but I can tell you, QUITE A FEW of them are money in the bank. Esp these last few I've done/am doing and even more-so the ones that are soon to come (I'm speaking of about the next 3-4 that I will be attempting to pump out in this next VERY IMPORTANT week.). One more thing I'll add before going to the script is a little alpha(Im pretty certain this is the way it is going but NOTHING is EVERY 100% in life). What I believe should be realized is the bottoming out of MANY of the crypto coins at the VERY bottom of a LONG TERM Cup and Handle (so it seems but shat can still change in the blink of an eye). Thus there are quite a few coins that I believe have already bottomed and wont be returning to said bottom for a few years or so but there are also quite a few still at the brink of the bottomest part before the real market breakout occurs. My goal with these scripts coming out this week to help you all find those coins that have yet to hit their very bottom (thus the ATH/ATL script recently published). Going back in history looking for the lowest points of long term Cup & Handles I will point out 2 key things. Near the center/bottomest part of these historical CnH you will see either Double Bottoms OR a Huge dump and then its V-shaped recovery. After these print the point of no return has occurred where only a few coins will be going lower than these Double Bottoms/V-Shaped recoveries. So the time is at hand. Now that many coins are seemingly pumping after this long consolidation, I believe we need to keep a keen eye out for THE FINAL RUG PULL (as soon as enough degenerates are leveraging Long their entire savings.). What Im saying is be ready for this final rug pull to finally be seeing these Double Bottoms/V-Shaped recoveries VERY soon. DO NOT waste all your capital yet and MAKE SURE to use stop losses or else rather than stop losses you will be burdened with MUCH WORSE losses. Im currently not even in the market bc I am waiting on said rug pull. Ok for the Script now.
This script is similar to the last one but with the previous one, one general set of settings can produce VASTLY different results (might have 2 S/R lines on one coin and 80 on another). I wanted to fix that with this script, turn it into a "Market Overview" Scanner and create alerts for the MO Scanner to be able to get alerted any time a coin is passing its largest wick S/R levels bc DULY NOTE...it is VERY rare that a coin will blow past it if it hasn't approached it recently. That means that a small retrace of 3-5%(or more) is EASY to acquire (with leverage that can really add up with how many coins are in the Kucoin Margin Coin list that I have in my scanners). Now, once price does shoot through a level you best be sure to be looking down the line for a retest of the S/R level it blew past before as they are MANY times the retest level and price will be coming back to it before continuing
in the direction it was going. Depending on the TF your using this could be a few hours to a few days to a few weeks...you get it. With this script you can choose to draw S/R lines 2 ways: 1) by having it plot S/R lines on the end of the largest 2(3,4,5..however many you choose) wicks that the chart has access to. For the scanner ill just be putting the largest 2-3 wicks and set alerts when coming up to them/crossing them & 2) having it draw S/R lines on the ends of the largest X% of wicks. it will be erasing the lines and drawing new ones on each new candle occurrence so the same general settings will no longer be producing VASTLY diff amounts of S/R lines and will be way more consistent amongst the coins for better utilization with the scanner (when I publish it). There is also a Wick Max Cutoff % so for those coins that had it's first few hours printing 100% sized wicks...you can choose to ignore them so they are not taking up one of your top spots for the S/R lines. There is similarly a Wick % min Size that can be selected so if you’re using the top % setting, it will help decrease those coins that can be still plotting 30 lines even though the top 3% of the largest wicks are set in the settings. Hope Im being clear but it's easy enough. I believe in you and your capabilities of comprehending it all and getting it all figured out. So this script is for a visualization for the scanner that I will be uploading soon-after. It's always nice to get a few comments if my ideas/scripts have been helpful to you and please don't hold back if you have something to tell me that I screwed up on (I am still rather new to this coding thing but I like to think I at least have some fresh ideas that aren’t out there in the public library). Talk to you soon and may the force be with your trades. Peace and love people...peace and love. -ChasinAlts out.
Fsystem Pivot 1453 ScreenerHello,
This script provides scanning for our pivot 1453 script and should be used together.
I will try to explain the content with pictures.
Merhaba,
bu scriptimiz ,pivot 1453 scriptimiz için tarama yapılmasını sağlar ve beraber kullanılmalıdır.
sizlere içeriği resimler ile anlatmaya çalışacam.
Status column :
this column indicates that you are
from the Bear or Bull area at the last bar,
bear-positive bear appeared in the field,
bull -negative indicates that the bull is out of the field.
----------------
Durum Kolonu :
Bu kolon son barda Ayı veya Boğa alanda oldugunu ifade eder,
bear-positive ayı alandan çıktıgını,
bull -negative boğa alandan çıktığını ifade eder.
how bar ago column :
Indicates how many bars ago
the bull or bear crossed the area.
---------------------------------------
how bar ago kolonu :
boğa veya ayı alana kaç bar önce geçtiğini belirtir.
Level 1 distance column:
your last price
It is the percentage distance from the first pivot line that occurs when the Bull or Bear enters the field.
It gives information about how much the price has gained according to the 1st pivot and adds the color expression according to the current area.
-------------------------------------------
Level 1 distance kolonu :
son fiyatın
Boğa veya Ayı alana girdiğinde olusan ilk pivot çizgisine yüzdelik olarak uzaklığıdır.
1.pivota göre fiyat nekadar değer kazanmış bilgisini verir ve şu andaki alana göre renk ifadesinide katar.
which level column :
It gives information about the level of the price and colors it according to the relevant level.
----------------------------------------
which level kolonu :
fiyatın hangi seviyede oldugunun bilgisini verir ve ilgili seviyesine göre renklendirir.
Bottom distance column:
It gives the percentage distance
of the last price from the Support line.
-------------------------------------------------
Bottom distance kolonu :
Son fiyatın Destek çizgisine
yüzdelik uzaklığı bilgisini verir.
top distance column:
It gives the distance of the last price
from the peak, that is, to the resistance
point, as a percentage.
-------------------------------
top distance kolonu :
son fiyatın tepe yani direnç noktasına
uzaklığını yüzdelik olarak verir.
level up jump column :
If the price has closed on the line upwards
at the last bar and has passed to the
other level region, it gives information
about this.
-------------------------------------------
Level up jump kolonu :
eğer fiyat son barda yukarı doğru ,
çizgi üzerinde kapanış yapmış ve
diğer seviye bolgesine geçmiş ise
bunun bilgisini verir.
ema 60 and ema 360 column:
Returns the value of ema.
If the price is lower than the
relevant ema, it is turned
to a green ground if it is above red.
-----------------------------------
ema 60 ve ema 360 kolonu :
ema nın değerini verir.
eğer fiyat ilgili ema dan aşağı
ise kırmızı üstü ise yeşil zemine çevirilir.
Level Supp--Resis column:
gives the value of the top
resistance and the value of
the bottom support.
---------------------------
Level Supp--Resis kolonu :
tepe direncin değerini ve
dip desteğin değerini verir.
From the settings option of the script, you can narrow the result area by converting currency,
choosing a period, selecting a share, scanning another stock set and filtering integrated into the columns.
---------------------------------------------------------------------------------------------------------------------------------
scriptin ayarlar seçeneğinden ,para birimi çevirme ,periyot seçme,hisse seçme ,başka hisse seti tarama ve kolonlara entegreli filtreleme yaparak sonuç alanını daraltabilirsiniz.
Candlestick Pattern Criteria and Analysis Indicator█ OVERVIEW
Define, then locate the presence of a candle that fits a specific criteria. Run a basic calculation on what happens after such a candle occurs.
Here, I’m not giving you an edge, but I’m giving you a clear way to find one.
IMPORTANT NOTE: PLEASE READ:
THE INDICATOR WILL ALWAYS INITIALLY LOAD WITH A RUNTIME ERROR. WHEN INITIALLY LOADED THERE NO CRITERIA SELECTED.
If you do not select a criteria or run a search for a criteria that doesn’t exist, you will get a runtime error. If you want to force the chart to load anyway, enable the debug panel at the bottom of the settings menu.
Who this is for:
- People who want to engage in TradingView for tedious and challenging data analysis related to candlestick measurement and occurrence rate and signal bar relationships with subsequent bars. People who don’t know but want to figure out what a strong bullish bar or a strong bearish bar is.
Who this is not for:
- People who want to be told by an indicator what is good or bad or buy or sell. Also, not for people that don’t have any clear idea on what they think is a strong bullish bar or a strong bearish bar and aren’t willing to put in the work.
Recommendation: Use on the candle resolution that accurately reflects your typical holding period. If you typically hold a trade for 3 weeks, use 3W candles. If you hold a trade for 3 minutes, use 3m candles.
Tldr; Read the tool tips and everything above this line. Let me know any issues that arise or questions you have.
█ CONCEPTS
Many trading styles indicate that a certain candle construct implies a bearish or bullish future for price. That said, it is also common to add to that idea that the context matters. Of course, this is how you end up with all manner of candlestick patterns accounting for thousands of pages of literature. No matter the context though, we can distill a discretionary trader's decision to take a trade based on one very basic premise: “A trader decides to take a trade on the basis of the rightmost candle's construction and what he/she believes that candle construct implies about the future price.” This indicator vets that trader’s theory in the most basic way possible. It finds the instances of any candle construction and takes a look at what happens on the next bar. This current bar is our “Signal Bar.”
█ GUIDE
I said that we vet the theory in the most basic way possible. But, in truth, this indicator is very complex as a result of there being thousands of ways to define a ‘strong’ candle. And you get to define things on a very granular level with this indicator.
Features:
1. Candle Highlighting
When the user’s criteria is met, the candle is highlighted on the chart.
The following candle is highlighted based on whether it breaks out, breaks down, or is an inside bar.
2. User-Defined Criteria
Criteria that you define include:
Candle Type: Bull bars, Bear bars, or both
Candle Attributes
Average Size based on Standard Deviation or Average of all potential bars in price history
Search within a specific price range
Search within a specific time range
Clarify time range using defined sessions and with or without weekends
3. Strike Lines on Candle
Often you want to know how price reacts when it gets back to a certain candle. Also it might be true that candle types cluster in a price region. This can be identified visually by adding lines that extend right on candles that fit the criteria.
4. User-Defined Context
Labeled “Alternative Criteria,” this facet of the script allows the user to take the context provided from another indicator and import it into the indicator to use as a overriding criteria. To account for the fact that the external indicator must be imported as a float value, true (criteria of external indicator is met) must be imported as 1 and false (criteria of external indicator is not met) as 0. Basically a binary Boolean. This can be used to create context, such as in the case of a traditional fractal, or can be used to pair with other signals.
If you know how to code in Pinescript, you can save a copy and simply add your own code to the section indicated in the code and set your bull and bear variables accordingly and the code should compile just fine with no further editing needed.
Included with the script to maximize out-of-the-box functionality, there is preloaded as alternative criteria a code snippet. The criteria is met on the bull side when the current candle close breaks out above the prior candle high. The bear criteria is met when the close breaks below the prior candle. When Alternate Criteria is run by itself, this is the only criteria set and bars are highlighted when it is true. You can qualify these candles by adding additional attributes that you think would fit well.
Using Alternative Criteria, you are essentially setting a filter for the rest of the criteria.
5. Extensive Read Out in the Data Window (right side bar pop out window).
As you can see in the thumbnail, there is pasted a copy of the Data Window Dialogue. I am doubtful I can get the thumbnail to load up perfectly aligned. Its hard to get all these data points in here. It may be better suited for a table at this point. Let me know what you think.
The primary, but not exclusive, purpose of what is in the Data Window is to talk about how often your criteria happens and what happens on the next bar. There are a lot of pieces to this.
Red = Values pertaining to the size of the current bar only
Blue = Values pertaining or related to the total number of signals
Green = Values pertaining to the signal bars themselves, including their measurements
Purple = Values pertaining to bullish bars that happen after the signal bar
Fuchsia = Values pertaining to bearish bars that happen after the signal bar
Lime = Last four rows which are your percentage occurrence vs total signals percentages
The best way I can explain how to understand parts you don’t understand otherwise in the data window is search the title of the row in the code using ‘ctrl+f’ and look at it and see if it makes more sense.
█ [b}Available Candle Attributes
Candle attributes can be used in any combination. They include:
[*}Bodies
[*}High/Low Range
[*}Upper Wick
[*}Lower Wick
[*}Average Size
[*}Alternative Criteria
Criteria will evaluate each attribute independently. If none is set for a particular attribute it is bypassed.
Criteria Quantity can be in Ticks, Points, or Percentage. For percentage keep in mind if using anything involving the candle range will not work well with percentage.
Criteria Operators are “Greater Than,” “Less Than,” and “Threshold.” Threshold means within a range of two numbers.
█ Problems with this methodology and opportunities for future development:
#1 This kind of work is hard.
If you know what you’re doing you might be able to find success changing out the inputs for loops and logging results in arrays or matrices, but to manually go through and test various criteria is a lot of work. However, it is rewarding. At the time of publication in early Oct 2022, you will quickly find that you get MUCH more follow through on bear bars than bull bars. That should be obvious because we’re in the middle of a bear market, but you can still work with the parameters and contextual inputs to determine what maximizes your probability. I’ve found configurations that yield 70% probability across the full series of bars. That’s an edge. That means that 70% of the time, when this criteria is met, the next bar puts you in profit.
#2 The script is VERY heavy.
Takes an eternity to load. But, give it a break, it’s doing a heck of a lot! There is 10 unique arrays in here and a loop that is a bit heavy but gives us the debug window.
#3 If you don’t have a clear idea its hard to know where to start.
There are a lot of levers to pull on in this script. Knowing which ones are useful and meaningful is very challenging. Combine that with long load times… its not great.
#4 Your brain is the only thing that can optimize your results because the criteria come from your mind.
Machine learning would be much more useful here, but for now, you are the machine. Learn.
#5 You can’t save your settings.
So, when you find a good combo, you’ll have to write it down elsewhere for future reference. It would be nice if we could save templates on custom indicators like we can on some of the built in drawing tools, but I’ve had no success in that. So, I recommend screenshotting your settings and saving them in Notion.so or some other solid record keeping database. Then you can go back and retrieve those settings.
#6 no way to export these results into conditions that can be copy/pasted into another script.
Copy/Paste of labels or tables would be the best feature ever at this point. Because you could take the criteria and put it in a label, copy it and drop it into another strategy script or something. But… men can dream.
█ Opportunities to PineCoders Learn:
1. In this script I’m importing libraries, showing some of my libraries functionality. Hopefully that gives you some ideas on how to use them too.
The price displacement library (which I love!)
Creative and conventional ways of using debug()
how to display arrays and matrices on charts
I didn’t call in the library that holds the backtesting function. But, also demonstrating, you can always pull the library up and just copy/paste the function out of there and into your script. That’s fine to do a lot of the time.
2. I am using REALLY complicated logic in this script (at least for me). I included extensive descriptions of this ? : logic in the text of the script. I also did my best to bracket () my logic groups to demonstrate how they fit together, both for you and my future self.
3. The breakout, built-in, “alternative criteria” is actually a small bit of genius built in there if you want to take the time to understand that block of code and think about some of the larger implications of the method deployed.
As always, a big thank you to TradingView and the Pinescript community, the Pinescript pros who have mentored me, and all of you who I am privileged to help in their Pinescripting journey.
"Those who stay will become champions" - Bo Schembechler
GA - Value at RiskGA Value at Risk is a multifunctional tool. Its main purpose is to plot on the chart the Value at Risk . But it shows also integrated features related to the Volatility.
Value at Risk is a measure of the risk of loss for investments, given normal market conditions, in a period.
It measures and quantifies the level of financial risk. In this case, the risk is within position over a specific time frame.
Defining p as VaR, the probability of a loss greater than VaR is p, at most. Instead, the probability of loss that is less than VaR is 1-p, at least.
The VaR Breach occurs when a loss exceeds the VaR threshold .
For this case, VaR calculation uses the volatility estimation in a time interval. It defines the Probability Confidence according to the Normal Distribution. VaR is a percentile of the Normal Distribution. This is a multiplier of the Standard Deviation that define a Volatility Range.
The Normal Distribution Area around +- the Standard Deviation gives 68% of Confidence. 2 times the Standard Deviation returns a 95% of probability area. 3 time the Standard Deviation the Area returns 99.7% of Confidence.
Knowing VaR modeling, it is possible to determine the amount of a potential loss . Then, it is possible to know if there is enough capital to cover losses. In the same way, higher-than-acceptable risks forces reducing exposure in a financial instrument.
One of its practical use is to estimate the risk of an investment that is already at portfolio. Indeed, this is the purpose of the Value at Risk calculated in this script.
At the VaR Breach that investment has reached its worst scenario. Then, it can be the case to manage that investment into the balanced portfolio.
The Value at Risk does not tell when to enter the market.
Moving Averages
GA Value at Risk bases its calculations on a set of Moving Averages. Every feature of the script uses one of these Moving Averages for its algorithm.
Moving Averages from MA0 to MA8, are the core of each feature of the script.
By default, from MA0 to MA8, Moving Averages use the Fibonacci Series to define their lengths. This happens because of the power of the Golden Ratio in the market behavior.
Instead, the first moving average is an extra resource. Its purpose is to plot a Signal Line on the chart.
The script does not consider plotting every Moving Average on the chart. But it lets you enable the plotting of 7 Moving Averages (from MA0 to MA5 + Signal Line).
It is possible to select the Moving Average Formula to use in the script. This is a setting that affects every Moving Average. Then, it changes also the result of every feature of the script.
The selection is between:
Exponential Moving Average.
Simple Moving Average.
Weighted moving Average.
Simple Moving Averages and Pointers - Full Visibility
Moving Averages and Partial Visibility
The plotting of each Moving Average can be total or partial.
By default, the plotting of Moving Averages and Signal Line is partial.
When the price approaches a Moving Average a little part of the curve becomes visible. This highlights supports or resistances.
Besides, this tracking remains on the chart. Then it shows supports and resistances that the price reached during its progression.
The Partial Visibility Algorithm is a great advantage, ruling how to plot curves. It uses a parameter to set how much of the curves is to plot.
Exponential Moving Averages and Pointers - Partial Visibility
Exponential Moving Averages and Pointers - Full Visibility
Moving Averages and Pointers
As it is clear, it is not necessary to plot entire curves of Moving Averages on the chart. But it becomes relevant to plot Pointers to Moving Averages.
Indeed, the script plots horizontal segments that point to the latest Average Prices.
Every segment has a Label that shows Average Price, Length, and its related Moving Average (from MA0 to MA8). Besides, it is possible to extend the segment to right.
These pointers are a very useful automatization. They point to the Moving Averages. In this way, they show Dynamic Supports and Resistances as horizontal segments.
They are adaptive. Used together with the Volume Profile their progression approaches Edges of High Nodes.
This adaptive behavior makes easy to see when the price reaches Volume High Nodes and slows down.
Moving Average Pointers use the Partial Visibility Algorithm. In this case, the algorithm shows pointers with higher frequency than curves.
Moving Averages Pointers have:
Horizontal Segment as a Pointer with Arrow.
Label with details.
Circle to the current Average Price.
Weighted Moving Averages and Pointers - Full Visibility
Volatility Channels
Having Moving Averages, from MA0 to MA8, it is possible to plot 9 Volatility Channels.
Each Volatility Channel uses one of the Moving Averages, from MA0 to MA8.
Indeed, each Volatility Channel has the same designation of the Moving Average used.
The Standard Deviation defines the Volatility Range. It uses the length of the Moving Average related to the Volatility Channel.
The Volatility Range is unique for each Volatility Channel. In the same way, each Volatility Channel is unique because of its relation to only one Moving Average.
By default, each volatility channel has the 2 value as Standard Deviation Multiplier. This gives 95% of Confidence that the price will stay into the Volatility Range.
Using the Simple Moving Average, each Volatility Channel becomes a Bollinger Bands envelop.
Volatility Channels work very well even using Exponential or Weighted Moving Averages.
MA0 - Volatility Channel
Volatility Channels - From MA0 to MA8
Value at Risk (VaR)
GA Value at Risk plots VaR according to the volatility. The VaR plotting follows the Trend Momentum or Buying-Selling Waves.
By default, VaR follows the Trend Momentum by 2 times the Standard Deviation of MA0. Where MA0 is the first Moving Average and Volatility Channel of the set.
Besides, by default, the calculation of the Value at Risk is adaptive. It does not follow the Volatility Channel Bands. But it changes according to the fast reaction of the price into the Volatility Range.
By default, VaR follows the main momentum even if the price is moving in opposition to it. This occurs as long as the Trend Momentum persists.
In the settings box, It is possible to select the following of the latest Buying Wave or Selling Wave.
In this case, VaR changes according to the change of Buying Wave or Selling Wave. This means that, on these conditions, VaR follows main swings. Then it follows the weakening and the strengthening of the trend momentum as long as it persists.
The plotting of the Value at Risk can show these features:
Red cycle to show the Value at Risk at the current price.
Look Back Red Line that shows the progression of the Value at Risk.
Label with details.
MA0 - Value at Risk - Not Adaptive
MA0 - Value at Risk - Adaptive
It is possible to use a different Moving Average and Volatility Channel from the set. This affects the calculation and the plotting of the Value at Risk. In this way, the algorithm return the Value at Risk for the short, middle, or long-term.
Then, you can get the Value at Risk for that Financial Instrument, calculated for ~1 year or more so as for 1 month.
The Value at Risk does not tell you when to enter the market. Besides, it does not show you that the trend is changing.
MA3 - Value at Risk - Adaptive
Value at Profit (VaP)
The Value at Profit has a descriptive purpose. It points the Volatility Band that is opposite to the Value at Risk.
I chose Value at Profit as a designation for this feature. It does not tell you where to exit the market.
But is shows what the price progression is pointing on. This happens following the switching between Volatility Ranges.
The VaP follows the Volatility Band where the price tends to converge.
An outperforming or underperforming price is running faster than the average trend. Then when the price runs enough to converge to the Volatility Band, it is over extended or under extended.
At these conditions, the increased buying or selling pressure affects the price behavior. This slows down the price progression.
The Algorithm behind the Value at Profit is adaptive. Then the pointer jumps up and down the Volatility Bands of the 9 Volatility Channels. This occurs according to the price progression, following the switching between Volatility Ranges.
So, the VaP points a Volatility Band as long as the price can have chances to converges on it. Instead, when the price has chances to exceed the Volatility Band, the VaP points to the next one.
The plotting of the Value at Profit occurs enabling its Label with details.
Value at Profit - MA0 Volatility Channel Upper Band
Value at Profit - MA6 Volatility Channel Upper Band
Price Extension
When the price runs far away from the average trend price, GA Value at Risk can plot the price extension.
It shows the distance in percentage of the price from a Moving Average of the set. This tends to highlight conditions where the price is over or under extended.
An overbought or oversold condition precedes the shortening of the Trust. It is a cause of the hesitation of the price to continue its progression. This includes also Climactic Points and Signs of Dominance.
The Price Extension plotting uses a variation of the Partial Visibility Algorithm. It plots the Price Extension Arrow only when there are specific volatility conditions.
When the Partial Visibility is set to 0, the Price Extension Arrow is always visible on the chart.
The plotting of the Price Extension includes a Label with details.
Over Extension - The Price is Outperforming MA0
Under Extension - The Price is Underperforming MA0
Price Extension Coloring for Bars and Line Chart
GA Value at Risk lets you enable the coloring of vertical charts. Green and Red colors mark the over and under extended price on bars, candle sticks, and also on the Line Chart.
The Price Extension Algorithm colors Bars and Line Chart by a momentum function.
Indeed, the coloring happens following Relative Strength Index or Bollinger Bands %B.
These 2 Momentum functions are different. Indeed, they color the chart according to the purpose of their curves.
Coloring the Line Chart, it is necessary to put on front the script visibility.
Overbought and Oversold Conditions on Line Chart by Bollinger Bands %B
Overbought and Oversold Conditions on Candlesticks Chart by Relative Strength Index
Note: I restrict access to the tool. Use the links in my signature field to gain access to the script. Feel free to send me a PM for any question.
Thank you
Girolamo Aloe
Founder of Profiting Me Finance Analytics
-
Disclaimer
Nobody in Girolamo Aloe websites and trading view profile is a Financial Advisor. Nothing therein is intended to be constructed as Financial Advice. The content on his websites is for information and educational purposes only.
Trading carries high risk. You should not invest money that you cannot afford to lose. Past performance is not an indication of future results.
Full Range Trading Study with Alerts and DCA
Introduction
This is the study version of my range trading strategy. It is designed to be a “drop in” replacement for its twin strategy. I have replicated the analysis logic and entry and exit procedures to produce a nearly identical result set to the strategy. Other than the properties tab, the inputs dialog is exactly the same. Backtest the strategy to determine the best inputs to trade. Then apply the same inputs to this study to forward test. Alerts are available for trade entry, take profit close and stop-loss exit. Please see the strategy version for a complete description of the trading behavior of this script.
In brief, this script is intended to benefit from a range bound market. The trading behavior is to buy on weakness and sell on strength. As such trade orders are placed in a counter direction to price pressure. What you will see on the chart is a short position on peaks and a long position on valleys. This is accomplished by calculating pivot points from the price stream. Rising pivots are shorts and falling pivots are longs. I refer to pivots as a vertex in the inputs dialog box. The cone based measurement adds a peak, sides and a base to the calculation elements. This allows the inputs to focus on adjusting the location of trades and not just trend lines. The pivot points can be plotted on the backtest. You can use the vertex input values to move the pivots where you want trades to be. This script can be traded in four different modes: Long, Short, BiDir, and Ping Pong. When trading in “Ping Pong” mode long and short positions are intermingled continuously as long as there exists a detectable vertex. I also have a trend following version of this script for those not interested in trading the range.
This script employs a DCA feature which enables users to experiment with loss recovery techniques in the backtest. Here in the study the summary report displays the “Debt Sequence” number which can be used to manually increase the order size on subsequent trades at the broker. The script keeps track of debt incurred from losing trades. When the debt is recovered the “Debt Sequence” resets to zero so orders can return to the base size. Be sure to set the limiter to prevent your account from depleting capital during runaway markets.
Consecutive loss limit can be set to report a breach of the threshold value. Every stop hit beyond this limit will be reported on a version 4 label above the bar where the stop is hit. Use the consecutive loss limit to manually halt live trading on the broker side.
Design
This script uses twelve indicators on a single time frame and is approximately 1800 lines of Pine 4 code. The original trading algorithms are a port from a much larger program on another trading platform. I’ve converted some of the statistical functions to use standard indicators available on TradingView. The setups make heavy use of the Hull Moving Average in conjunction with EMAs that form the Bill Williams Alligator as described in his book “New Trading Dimensions” Chapter 3. Lag between the Hull and the EMAs form the basis of the entry and exit points. The vertices are calculated using one of five featured indicators: Volume, Histogram, Fractal, Candle and Macro. The backtest is used to determine the best fit for your desired trading instrument. The incorporation of five distinct pivot point calculations broadens the scope of the markets where this tool can be beneficial.
Example configurations for various instruments along with a detailed PDF user manual is available.
Indicator Repainting
Please see the strategy script for a more detailed description of the repaint problem. The goal of my repaint prevention in the study script is simply to ensure that my signal trading bias remains consistent between the strategy, study and broker. This script employs the following conventions in effort to avoid indicator repainting:
1. This script uses only 1 time frame. The chart interval.
2. Every entry and exit condition is evaluated on closed bars only.
3. Entry and exit plots are not triggered off trend line crossovers.
4. No security functions are called to avoid a look-ahead possibility.
5. Every contributing factor specified in the TradingView wiki regarding this issue has been addressed. Except the use of the exponential moving average which is essential to my strategy.
6. I’ve run a 10 minute chart live for a week and compared it to the same chart periodically reloaded. The two charts were highly correlated with no instances of completely opposite real-time signals
This script does indeed bring up the TradingView warning dialog. The only reason for this is due to “peculiarities of the algorithm” regarding the EMA as stated in the wiki article.
The Bottom Line. Does this script repaint. Yes, it will repaint about as much as every other trading platform which combines backtest data with real time prices in a live trading scenario.
Usage
Please be aware that the purpose of the study script is to perform forward testing of the configuration established in the backtest process. Therefore, the usage here in the study begins with the backtest configuration parameters. The following steps provide instructions to get this study script connected to the TradingView alert notification system. For a detailed description of how to create a range trading system using this script please see the strategy version.
Step 1. Create a chart with the trading instrument and interval used in the backtest.
Step 2. Find this script in the “Invite Only” section of the Indicators Dialog and apply it to the current chart.
Step 3. Copy the values from the backtest input dialog to the study.
Step 4. Open the TradingView Alert window.
Step 5. In the “Condition” drop down field find and select the name of the script.
Step 6. A new drop down field will appear with the alerts available in the script. This script exposes the following six signals:
Long Entry Signal
Long Profit Signal
Long Stop-loss Signal
Short Entry Signal
Short Profit Signal
Short Stop-loss Signal
Select the signal for which you want notification.
Step 7. In the “Options” field select the frequency of the alert. Typically, "Once Per Bar" or "Once Per Bar Close" will be sufficient.
Step 8. Set the expiration date and time.
Step 9. Select the action of the alert. Currently TradingView offers six different actions:
Notify on App
Show Popup
Send Email
Webhook URL
Play Sound
Send Email to SMS
Step 10. Create a message to to transmitted with the alert. The script provides a default message which can be overridden with any custom description. The price, time and other reserved chart elements can be included in the message
Step 11. Click the “Create” button to generate this single alert.
Step 12. Repeat steps 1 through 11 for every signal you wish to receive.
This script is open for beta testing. After successful beta test it will become a commercial application available by subscription only. I’ve invested quite a lot of time and effort into making this the best possible signal generator for all of the instruments I intend to trade. I certainly welcome any suggestions for improvements. Thank you all in advance.
Apex Matrix AI [Institutional Grade] by IndicatorEdgeStop trading with amateur tools and retail-grade logic. The Apex Matrix AI is a professional-grade, institutional trading framework designed to provide a definitive analytical edge. This is not just another indicator; it's a complete, multi-asset "Operating System" that intelligently adapts its core logic to the unique personality of the market you are trading.
At its heart is a powerful Weighted Confluence Engine that quantifies trend strength across ten distinct factors. It only generates a signal when a decisive analytical edge is present, all while managing risk with mathematical precision. This is the level of detail and logical soundness that institutions demand.
The Institutional Edge: A System Worth Six Figures
Why do most public scripts fail? Because they are rigid, logically flawed toys. They don't adapt to changing markets, and their risk management is an afterthought.
Proprietary trading firms and hedge funds spend well over $100,000 on research and development to build in-house systems with the level of logical depth, adaptive capability, and integrated risk management found in this script. They understand that a true edge comes from a robust, multi-faceted framework, not a simple crossover.
The Apex Matrix AI brings that institutional-grade framework to the public TradingView community. Every component, from the dynamic scoring engine to the adaptive asset profiles, has been meticulously engineered to be logically sound, transparent, and effective.
Core Features: The Pillars of an Institutional System
🏆 The Adaptive Core (Multi-Asset Profiles): This is the script's most powerful feature. The Apex Matrix AI recognizes that Crypto does not trade like Stocks. Select a profile for Crypto, Forex, Indices, or Stocks, and the system automatically calibrates its most critical parameters (session filters, risk models, etc.) to that market's unique behavior.
🧠 Logically Sound Confluence Engine: Unlike flawed systems, the Apex Matrix AI is built on sound logic. The ADX is correctly used as a non-directional strength filter, while nine other factors contribute to a dynamic, weighted bull/bear score. The maximum possible score intelligently adapts based on the factors you have enabled, ensuring the score is always transparent and mathematically correct.
⚙️ Professional Risk & Position Sizing: This is not a strategy, but it is built with the principles of one. The logic is designed for traders who think in terms of risk. All on-chart signals are generated with the understanding that a professional trader would use ATR-based stops and risk-based position sizing.
📊 The "Command Center" Dashboard: The dashboard is your at-a-glance source of truth. It's large, professional, and built for instant clarity. It provides a complete, real-time view of:
The live status and value of all 11 market factors.
The current market regime (e.g., "Bull Regime," "Chop").
The live Confluence Score, showing you how close the market is to a high-probability setup.
🎯 Unambiguous On-Chart Signals: No more guessing. When a signal is confirmed, a professional Information Box appears on your chart, displaying the signal type and its final Confluence Score.
How the System Works: A Disciplined 3-Step Process
Regime Filter: First, the system confirms the market is in a healthy, "tradable" regime using the ADX and a Higher Timeframe trend analysis. It is designed to stay flat during low-probability chop.
Confluence Scoring: The script's Matrix Engine continuously analyzes nine different directional indicators, from EMAs and MACD to SuperTrend and Stochastics. It assigns a score based on the weights you have defined in the settings.
Signal Confirmation: A signal is only generated when the Confluence Score crosses a minimum threshold and the market regime filters are passed. This disciplined, multi-step process ensures you are only alerted to high-probability setups.
How To Use This Indicator
Select Your Asset Profile: This is your most important first step. Choose the profile from the dropdown that matches the asset on your chart (e.g., "Forex" for EURUSD).
Configure Your Weights (Optional): For advanced users, adjust the "Confluence Factor Weights" to align the scoring engine with your personal trading strategy.
Monitor the Dashboard: Use the live dashboard to get a constant, at-a-glance overview of the market's health. Watch as the Confluence Score builds or fades.
Act on Confirmed Signals: Use the on-chart Signal Information Boxes as your primary call to action. Use these high-probability signals to confirm your own analysis at key levels.
Disclaimer: This tool is for educational and analytical purposes only. All trading involves substantial risk, and the author, IndicatorEdge By SG, is not liable for any financial losses incurred. Past performance is not indicative of future results. Please trade responsibly.
[blackcat] L1 Value Trend IndicatorOVERVIEW
The L1 Value Trend Indicator is a sophisticated technical analysis tool designed for TradingView users seeking advanced market trend identification and trading signals. This comprehensive indicator combines multiple analytical techniques to provide traders with a holistic view of market dynamics, helping identify potential entry and exit points through various signal mechanisms. 📈 It features a main Value Trend line along with a lagged version, golden cross and dead cross signals, and multiple technical indicators including RSI, Williams %R, Stochastic %K/D, and Relative Strength calculations. The indicator also includes reference levels for support and resistance analysis, making it a versatile tool for both short-term and long-term trading strategies. ✅
FEATURES
📈 Primary Value Trend Line: Calculates a smoothed value trend using a combination of SMA and custom smoothing techniques
🔍 Value Trend Lag: Implements a lagged version of the main trend line for cross-over analysis
🚀 Golden Cross & Dead Cross Signals: Identifies buy/sell opportunities when the main trend line crosses its lagged version
💸 Multi-Indicator Integration: Combines multiple technical analysis tools for comprehensive market view
📊 RSI Calculations: Includes 6-period, 7-period, and 13-period RSI calculations for momentum analysis
📈 Williams %R: Provides overbought/oversold conditions using the Williams %R formula
📉 Stochastic Oscillator: Implements both Stochastic %K and %D calculations for momentum confirmation
📋 Relative Strength: Calculates relative strength based on highest highs and current price
✅ Visual Labels: Displays BUY and SELL labels on chart when crossover conditions are met
📣 Alert Conditions: Provides automated alert conditions for golden cross and dead cross events
📌 Reference Levels: Plots entry (25) and exit (75) reference lines for support/resistance analysis
HOW TO USE
Copy the Script: Copy the complete Pine Script code from the original file
Open TradingView: Navigate to TradingView website or application
Access Pine Editor: Go to the Pine Script editor (usually found in the chart toolbar)
Paste Code: Paste the copied script into the editor
Save Script: Save the script with a descriptive name like " L1 Value Trend Indicator"
Select Chart: Choose the chart where you want to apply the indicator
Add Indicator: Apply the indicator to your chart
Configure Parameters: Adjust input parameters to customize behavior
Monitor Signals: Watch for golden cross (BUY) and dead cross (SELL) signals
Use Reference Levels: Monitor entry (25) and exit (75) lines for support/resistance levels
LIMITATIONS
⚠️ Potential Repainting: The script may repaint due to lookahead bias in some calculations
📉 Lookahead Bias: Some calculations may reference future values, potentially causing repainting issues
🔄 Parameter Sensitivity: Results may vary significantly with different parameter settings
📉 Computational Complexity: May impact chart performance with heavy calculations on large datasets
📊 Resource Usage: Requires significant processing power for multiple indicator calculations
🔄 Data Sensitivity: Results may be affected by data quality and market conditions
NOTES
📈 Signal Timing: Cross-over signals may lag behind actual price movements
📉 Parameter Optimization: Optimal parameters may vary by market conditions and asset type
📋 Market Conditions: Performance may vary significantly across different market environments
📈 Multi-Indicator: Combine signals with other technical indicators for confirmation
📉 Timeframe Analysis: Use multiple timeframes for enhanced signal accuracy
📋 Volume Analysis: Incorporate volume data for additional confirmation
📈 Strategy Integration: Consider using this indicator as part of a broader trading strategy
📉 Risk Management: Use signals as part of a comprehensive risk management approach
📋 Backtesting: Test parameter combinations with historical data before live trading
THANKS
🙏 Original Creator: blackcat1402 creates the L1 Value Trend Indicator
📚 Community Contributions: Recognition to TradingView community for continuous improvements and contributions
📈 Collaborative Development: Appreciation for collaborative efforts in enhancing technical analysis tools
📉 TradingView Community: Special thanks to TradingView community members for their ongoing support and feedback
📋 Educational Resources: Recognition of educational resources that helped in understanding technical analysis principles
MMTools - Screener❖ Overview
Screener expands your market insights and provides an efficient way to monitor real-time signals from Catcher across hundreds of charts on a single screen.
Each cell in the table displays the number of indicator signals. For instance, a value of "1" in the row labeled ‘BTCUSDT.P’ and column ‘30’ indicates one long signal on the 30-minute Bitcoin chart within the selected lookback period. “0” means no signal in the lookback.
❖ Multi-Table Construction
Screener supports flexible layouts and overlays. To build a multi-table interface, simply add multiple instances of the script to your chart. For optimal usability, it is recommended to allocate a dedicated panel or tab.
⚙️ Key Parameters to Customize Initially
Indicator Lookback: Defines how far back Screener checks for signals.
Symbols: Choose up to 20 symbols. Use additional tables to expand coverage.
Size: Adjusts the overall dimensions of the table.
Display Settings: Customize colors, opacity, and symbol visibility. For dark theme charts, set color opacity to 100% and transparency to 0%.
⚙️ Per-Table Adjustable Parameters
Timeframe: This defines the interval for signal collection across all symbols displayed in the top row of the table. It must be equal to or greater than the chart’s timeframe, otherwise the script will deliberately trigger an error. For multiple tables, use a lower chart timeframe (e.g., 1 minute) to meet this requirement.
Table Positioning: Use either the “Position” (predefined screen locations) or “Block” (stacked layout) parameters. The “Block” method enables a greater number of tables by aligning them side-by-side efficiently.
-- Multi-table example demonstrating the use of the ’Position’ parameter --
-- Multi-table example demonstrating the use of the ’Block’ parameter --
❖ Access
Please refer to the Author's Instructions field to request access to the script.
-----------------------------------------------------------
Disclaimer
The information provided by my scripts is for informational purposes only and does not constitute financial advice. Past performance is not indicative of future results. Always do your own research before making financial decisions.
weighted support or resistance linesQ: Why should users choose this script?
A: I found that in all the publicly available scripts about support and resistance lines, there is basically no weight identification for these lines. In other words, users do not know which support or resistance lines are the most important. So I specifically wrote this script.
1. By adjusting the weights, only the most effective support or resistance lines are displayed. (Length threshold of trend price (Bar))
2. By selecting the number of K-lines, only the latest number of support or resistance lines generated will be displayed. (Maximum number of reserved S/R lines)
3. By selecting whether to automatically remove lines, only support or resistance lines that have not been penetrated by the k-line will be displayed. If this function is checked, the weight can be adjusted lower, as high-weight SR may have already been penetrated, and the newly generated SR may have a lower weight. (Automatically remove lines penetrated by closing price confirmation)
4. Notes: The default parameters work well in 15-minute candlestick charts. For candlestick charts with other time periods, the parameters can be adjusted appropriately. It is suitable for sideways trading but not for strong trends.
5. I'm quite satisfied with the performance of the script, as I specifically optimized it, lol
Volatility Signaling 50SMAOverview of the Script:
The script implements a volatility signaling indicator using a 50-period Simple Moving Average (SMA). It incorporates Bollinger Bands and the Average True Range (ATR) to dynamically adjust the SMA's color based on volatility conditions. Here's a detailed breakdown:
Components of the Script:
1. Inputs:
The script allows the user to customize key parameters for flexibility:
Bollinger Bands Length (length): Determines the period for calculating the Bollinger Bands.
Source (src): The price data to use, defaulting to the closing price.
Standard Deviation Multiplier (mult): Scales the Bollinger Bands' width.
ATR Length (atrLength): Sets the period for calculating the ATR.
The 50-period SMA length (smaLength) is fixed at 50.
2. Bollinger Bands Calculation:
Basis: Calculated as the SMA of the selected price source over the specified length.
Upper and Lower Bands: Determined by adding/subtracting a scaled standard deviation (dev) from the basis.
3. ATR Calculation:
Computes the Average True Range over the user-defined atrLength.
4. Volatility-Based Conditions:
The script establishes thresholds for Bollinger Band width relative to ATR:
Yellow Condition: When the band width (upper - lower) is less than 1.25 times the ATR.
Orange Condition: When the band width is less than 1.5 times the ATR.
Red Condition: When the band width is less than 1.75 times the ATR.
5. Dynamic SMA Coloring:
The 50-period SMA is colored based on the above conditions:
Yellow: Indicates relatively low volatility.
Orange: Indicates moderate volatility.
Red: Indicates higher volatility.
White: Default color when no conditions are met.
6. Plotting the 50-Period SMA:
The script plots the SMA (sma50) with a dynamically assigned color, enabling visual analysis of market conditions.
Use Case:
This script is ideal for traders seeking to assess market volatility and identify changes using Bollinger Bands and ATR. The colored SMA provides an intuitive way to gauge market dynamics directly on the chart.
Example Visualization:
Yellow SMA: The market is in a low-volatility phase.
Orange SMA: Volatility is picking up but remains moderate.
Red SMA: Higher volatility, potentially signaling significant market activity.
White SMA: Neutral/default state.
Previous High and Low Count with Probabilities + Risk On/Off1. Purpose of the Script:
This trading script combines two important concepts:
Previous High and Low Count: It tracks whether the current price exceeds the previous day’s high or low and calculates probabilities for the next price movement (up or down).
Risk On / Risk Off Indicator: It evaluates market sentiment through various indicators (such as the Fear & Greed Index, VIX, and others) and shows whether the market is in a risk-on or risk-off state. This information impacts the probabilities of price movement.
2. How it Works:
Previous High and Low:
The script tracks how often the price exceeds the previous day’s high or low and calculates the probability of an upward or downward movement based on that. This gives you an idea of how often the market reacts at the previous day's high or low.
Risk On / Risk Off:
Based on various market factors (Fear & Greed Index, VIX, Put-Call Ratio, etc.), the script calculates the Risk On or Risk Off state.
In Risk On, the probability of an upward movement increases, and the probability of a downward movement decreases. In Risk Off, it’s the opposite.
Adjusted Probabilities:
The probabilities for an Up or Down movement are adjusted based on the current Risk On / Risk Off state. In a Risk On environment, the probability for an upward move increases, while in a Risk Off environment, the probability for a downward move increases.
3. How to Use the Script:
Add the Script in TradingView:
TradingView:
Click on "Add to Chart" to apply the script to your chart.
Manual Input of Indicators:
For the Fear & Greed Index, VIX, and other indicators, you need to manually enter the current values. You can get these values from various publicly available sources:
Fear & Greed Index: CNN Fear & Greed Index
VIX (Volatility Index): VIX Index
Other indicators like Put-Call Ratio, Bitcoin Volatility, Oil Prices, and US Dollar Index can also be manually inputted, and they can be found on finance websites like Yahoo Finance, MarketWatch, and Bloomberg.
Observe the Colors and Symbols:
If the market is in a Risk On state, the background will turn green, and a green triangle will appear below the candle.
If the market is in a Risk Off state, the background will turn red, and a red triangle will appear above the candle.
Track the Probabilities:
A label will appear on the chart showing the calculated probabilities for Up and Down movements. These probabilities are adjusted based on the current market state (Risk On/Off).
4. Meaning of the Probabilities:
Up Probability: Indicates the probability that the price will rise.
Down Probability: Indicates the probability that the price will fall.
The probabilities are dynamic and adjust based on the Risk On / Risk Off state, helping you make better decisions based on the current market conditions.
The real breakout indicator CCI + Money Flow + Buy / SellComponents of the indicator
1. CCI (Commodity Channel Index)
The CCI component measures the deviation of the price from its statistical average. It is used to identify overbought or oversold conditions and is integrated into the trend logic to determine potential trend reversals. High values may indicate overbought conditions, while low values could signify oversold situations.
Detailed
The CCI (Commodity Channel Index) used in "The Real Breakout Indicator Hawk" is an enhanced version compared to the traditional CCI, offering several advantages:
1. Weighting and Smoothing Mechanism
In this version, the CCI values are weighted and smoothed using custom parameters (c1, c2, c3), which allows for greater flexibility in adjusting the sensitivity of the CCI to market conditions. This smoothing reduces noise and provides clearer signals compared to the standard CCI, which can be prone to whipsaws in volatile markets.
2. Multi-level Calculation
The indicator uses an array-based approach to calculate multiple variations of CCI values (with p as the parameter for different levels of calculation), which is then combined to create a more robust signal. This multi-level approach allows for capturing different market cycles, unlike the traditional CCI that only uses a single period for calculation.
3. Integration with Moving Averages and Trend Detection
Unlike the original CCI, which is often used in isolation, this version integrates with the trend detection logic by combining it with moving averages and money flow. The enhanced CCI contributes to the broader trend analysis, ensuring that buy/sell signals are not just based on CCI overbought/oversold levels but also validated by moving averages and slope calculations.
4. Trend-Weighted CCI
This version adds weight to recent price action trends, making it more adaptive to current market momentum. The CCI values are influenced by recent high and low prices, adding a trend-following aspect that is missing from the original CCI, which treats all price deviations equally.
This image of EURAD shows for example that when CCI component is green a strong trend is detected which can hold for up to 10 days in this example, ideal for swing trades;
EURAUD 2H
5. Improved Overbought/Oversold Detection
The script incorporates a dynamic overbought/oversold detection zone based on the enhanced CCI. It accounts for market volatility, allowing it to adjust its thresholds (such as the 200 level) more effectively in different market environments. This makes the enhanced CCI better suited for varying market conditions compared to the fixed thresholds of the original CCI.
You can see that the red diamond signal is generated at the absolute top of the price range after which price started to reverse, the detection is based on a cross over value together with Money Flow strength
BTCUSDT 2H
6. Strong Buy/Sell Confirmation
The enhanced CCI works in tandem with other components like Money Flow and Moving Averages to confirm buy or sell signals. This cross-validation makes the indicator less reliant on CCI alone and ensures that the signals generated are stronger and less prone to false positives, which is a common issue with the standalone CCI.
The green diamond buy signal in a strong downtrend is mostly a short retrace of price before continuing down further, yo can use this as an entry signal after the bounce up into an FVG for example. However when price is at a support, meaning price is not moving down further and this occurs this could be a potential reversal signal as shown on the right side on the chart below. FVG is not respected, retested and price continues up.
BTCUSDT 2H
Summary:
In summary, the enhanced CCI in this indicator improves over the original CCI by providing better noise reduction, multi-level analysis, trend integration, and adaptability to different market conditions. These improvements lead to more reliable and actionable trading signals.
2. Money Flow (MF) www.tradingview.com
The Money Flow component tracks the flow of capital in and out of an asset. Positive values indicate strong buying pressure, while negative values show selling pressure. This is smoothed to avoid noise and is used to confirm strong buy or sell conditions.
The Money Flow (MF) in "The Real Breakout Indicator Hawk" measures the flow of capital into or out of an asset, helping to assess the underlying buying or selling pressure in the market.
1. Positive Money Flow (Buying Pressure)
When the MF is positive, it indicates that more money is flowing into the asset, which suggests strong buying interest. This helps confirm that a price increase or breakout to the upside is supported by demand.
2. Negative Money Flow (Selling Pressure)
A negative MF indicates that capital is leaving the asset, reflecting selling pressure. This is a sign that the market is under bearish conditions, and prices are likely to decline or break down.
3. Confirmation of Buy and Sell Signals
The MF is used to confirm buy and sell signals generated by other components of the indicator. When the MF aligns with other bullish signals, it strengthens the buy condition, and similarly, when the MF shows strong selling pressure, it reinforces a sell signal.
4. Filtering Noise
The MF is smoothed to filter out noise, ensuring that only significant movements in buying or selling pressure are considered. This helps avoid false signals and makes the MF a reliable tool for detecting true market strength.
5. Range Sensitivity
The MF operates within defined ranges, ensuring that buy or sell signals are only triggered when the flow of money is strong enough, adding precision to signal generation.
In summary, the Money Flow component is crucial for validating market direction, enhancing signal reliability, and helping traders make more informed decisions based on the underlying capital movement in the market.
3. Moving Averages (MA)
Multiple types of moving averages (SMA, EMA, HMA, etc.) are used to smooth price action and highlight the trend direction. The script supports different types of moving averages, and their slopes are calculated to assist in identifying changes in trend momentum.
The Moving Averages (MA) section of "The Real Breakout Indicator Hawk" plays a critical role in smoothing price data, identifying trends, and generating buy/sell signals. Here’s a breakdown of what it does and how you can use it effectively without diving into the script:
1. Moving Average Types
This section allows the user to choose from different types of moving averages, each with unique characteristics:
SMA (Simple Moving Average): Takes the average of closing prices over a specific period. It’s slower and better suited for detecting long-term trends.
EMA (Exponential Moving Average): Gives more weight to recent prices, making it more responsive to new price action and suitable for short-term trading.
HMA (Hull Moving Average): A smoother and faster moving average, useful for reducing lag in fast-moving markets.
LVMA (Linear Weighted Moving Average): Places the most weight on recent prices, making it even more responsive than EMA.
Alma (Arnaud Legoux Moving Average): A smoother version that reduces noise while maintaining responsiveness to recent price action.
2. Smoothing and Trend Detection
The moving average smooths out price data to remove small fluctuations and focuses on the overall trend. When prices are trading above the moving average, it suggests that the market is in an uptrend. When prices are below the moving average, it indicates a downtrend.
3. Trend Confirmation
The moving average serves as a confirmation tool. When the price crosses above the moving average, it could signal the start of a bullish trend, and when the price crosses below, it may indicate the beginning of a bearish trend.
4. Buy and Sell Signals
Buy Signal: The system detects a buy signal when:
The moving average crosses above 0, indicating a potential upward momentum.
Other indicators like Money Flow and CCI align to confirm the trend.
Sell Signal: A sell signal is triggered when:
The moving average crosses below 0, signaling a potential downtrend.
This signal is further validated by other components such as Money Flow and CCI to reduce false signals.
5. Using Moving Averages in Trading
Crossover Strategy: One of the simplest ways to use moving averages is by employing a crossover strategy. For instance:
When the shorter-term moving average (e.g., 20-period) crosses above a longer-term moving average (e.g., 50-period), this is a bullish crossover, indicating a buy signal.
Conversely, when the shorter-term moving average crosses below the longer-term moving average, this is a bearish crossover, indicating a sell signal.
Trend Following: If you’re trading with the trend, you can use a moving average to stay in the trade as long as the price remains above (for long positions) or below (for short positions) the moving average.
Support and Resistance: Moving averages can also act as dynamic support or resistance levels. For example, in an uptrend, the CCI might bounce off the moving average, offering a good entry point for a long position. In a downtrend, the moving average could act as resistance where prices may reverse, offering a shorting opportunity.
To use the MA section effectively:
Choose the right type of moving average based on your trading style (e.g., use EMA for faster response or SMA for long-term trends).
Watch for crossovers as buy/sell signals, especially in combination with other indicators.
Follow the trend by observing whether the price is above or below the moving average.
Use the moving average as a dynamic support/resistance level to find optimal entry/exit points.
This approach makes the moving average a versatile tool for identifying trends, refining entry and exit points, and confirming overall market direction.
an example when MA crosses below 0, keep in mind that when it it starts curving up and turning green there is a reversal brewing, this could take time...
BTCUSDT 2H
4. Buy Signals
Buy signals are generated when the moving average crosses up, and the Money Flow and other trend-based conditions are met, including CCI levels confirming the strength of the breakout. Additionally, slope calculations and other momentum indicators provide extra confirmation for entries.
5. Sell Signals
Sell signals occur when the moving average crosses down, combined with negative Money Flow, confirming downward pressure. Other trend-based conditions, including the CCI, must also align to validate the signal, and slope calculations ensure that momentum is on the sell side.
6. Slope and Trend Detection
The script includes calculations for the slope of price action over a lookback period to measure trend strength and direction. The slope is normalized to help identify when the market is gaining or losing momentum. This slope is used in conjunction with the moving averages and Money Flow to give more accurate trend signals.
The Slope and Trend Detection component in "The Real Breakout Indicator Hawk" is designed to measure the direction and strength of the market’s trend by calculating the slope of the price action over a specific period. This helps to identify whether the market is gaining or losing momentum, and it is a key element in refining buy/sell signals.
Here’s how the Slope and Trend Detection works and how you can use it effectively without diving into the script:
1. Slope Calculation
Slope is essentially the rate of change of the moving average (or price) over a given number of bars. It measures how steeply the price is moving up or down.
The script calculates the slope by measuring the difference between the moving average over a defined number of bars (e.g., 12 bars in this case). A larger slope indicates a stronger trend, while a smaller slope suggests a weaker or consolidating trend.
2. Normalized Slope
The slope is normalized, meaning it is adjusted to fall within a range that makes it easier to compare across different time frames and markets. This normalization helps to gauge whether the slope is strong or weak relative to historical data.
Positive slopes (above 0) indicate an uptrend or rising price momentum, while negative slopes (below 0) indicate a downtrend or falling price momentum.
3. Trend Detection
The slope of the moving average is used to detect the current trend:
If the slope is positive, the market is in an uptrend.
If the slope is negative, the market is in a downtrend.
The stronger the slope (the steeper it is), the stronger the trend. A small slope indicates a weak trend or consolidation.
4. Slope Thresholds
The system uses thresholds to determine the significance of the slope. These thresholds are set as upper and lower bounds:
Upper Threshold: If the slope exceeds this threshold, the trend is considered strong, and it could trigger a buy signal.
Lower Threshold: If the slope falls below this threshold (into the negative range), it indicates a strong downtrend, and it could trigger a sell signal.
These thresholds help filter out weak or false signals that occur in sideways or low-momentum markets.
5. Positive and Negative Slope Arrays
The system keeps track of both positive and negative slopes over a defined lookback period (e.g., 500 bars). By storing these values, it creates a historical context that helps to assess the current slope in relation to past price movements.
It calculates the standard deviation and the average of these slopes to dynamically adjust the thresholds for each market condition, making the trend detection more adaptive to different types of assets or market phases.
6. Using Slope and Trend Detection in Trading
Buy Signal with Positive Slope: When the slope is positive and exceeds a certain threshold, it confirms that the market is in a strong uptrend. This can be used as a signal to enter a long position or add to existing long trades.
Sell Signal with Negative Slope: When the slope turns negative and falls below the lower threshold, it signals a strong downtrend, indicating a potential short-selling opportunity or the time to exit long positions.
Avoiding Flat Markets: If the slope remains close to zero (neither strongly positive nor negative), it suggests a lack of clear trend or a consolidating market. In these conditions, it might be better to avoid taking new trades or use additional filters to confirm signals.
7. Slope-Based Trend Strength Indicator
You can also use the slope as a measure of trend strength:
Strong Trend: When the slope is steep (either positive or negative), it indicates strong momentum, and you can be more confident in holding a trade in that direction.
Weak Trend or Consolidation: When the slope is flat, it indicates weak price momentum, which may signal a period of consolidation or indecision in the market.
8. Visual Representation
The slope is often visually represented as a gradient or line that fluctuates around a central point (usually zero). Positive values are shown in one color (e.g., green for an uptrend), while negative values are shown in another color (e.g., red for a downtrend). This allows traders to quickly identify the current trend direction and its strength.
Summary:
To use Slope and Trend Detection effectively:
Monitor the slope to determine the trend direction (positive = uptrend, negative = downtrend).
Look for thresholds to identify strong trends. For instance, a steep positive slope signals a strong uptrend, while a steep negative slope signals a strong downtrend.
Use slope changes to confirm buy/sell signals. For example, if you receive a buy signal and the slope is positive and increasing, it confirms that momentum is behind the trade.
Avoid low-slope periods when the slope is close to zero, indicating a lack of trend or sideways market conditions.
This approach helps traders stay on the right side of the trend while avoiding periods of low momentum, enhancing the accuracy of trade signals.
7. Banker Fund Flow Trend
This component identifies potential large institutional moves by tracking specific patterns in price and volume data. When the institutional or "banker" entry or exit conditions are met, it highlights these moments with candles and generates alerts.
The Banker Fund Flow Trend in "The Real Breakout Indicator Hawk" helps detect the flow of institutional (or "smart money") into and out of the market by tracking price trends and large player activity. It uses red and yellow candles to signal when institutional money is influencing the market.
Key Points:
Yellow Candles (Banker Entry):
A yellow candle is plotted when institutional money starts flowing into the market.
This signals a potential buy opportunity, as large market players are likely pushing prices upward.
Red Candles (Banker Exit):
A red candle appears when institutional money starts exiting the market.
This is a signal to consider selling or exiting long positions, as institutional selling could drive prices lower.
Usage:
Yellow candles: Use these as signals to enter long trades or add to existing positions, confirming upward momentum driven by institutional buyers.
Red candles: Treat these as signals to exit long trades or consider short positions, as institutional selling may lead to further downside.
BTCUSDT 2H
The yellow and red candles provide clear, actionable signals for aligning trades with institutional flows, ensuring you’re following the "smart money."
8. Dynamic Buy/Sell Calculations
A dynamic component is designed to refine the buy and sell signals further based on additional conditions like price patterns, volatility, and Money Flow. This ensures that signals are more responsive to changing market conditions.
The Dynamic Buy/Sell Calculations in "The Real Breakout Indicator Hawk" are designed to refine entry and exit points for trades by using additional conditions beyond simple crossovers. These calculations adapt to the current market conditions, making them more responsive to changes in volatility, trend strength, and momentum.
Key Features:
Dynamic Buy Calculation:
The indicator generates a buy signal when multiple conditions align. These conditions include the money flow (MF) being within a favorable range, the moving average (MA) confirming upward momentum, and the CCI and other trend components indicating strength.
This makes the buy signal more reliable, as it considers multiple aspects of market behavior (price, momentum, and money flow) to avoid false entries.
Dynamic Sell Calculation:
Similarly, the sell signal is triggered when the dynamic conditions indicate downward momentum.
This includes:
The moving average crossing down.
Negative money flow, suggesting selling pressure.
Other trend signals confirming a bearish move.
The dynamic nature of these conditions ensures that sell signals are only generated when there’s a high probability of continued downside movement.
Adaptive to Market Conditions:
The dynamic nature of these calculations means that the buy/sell signals adapt to market changes, like volatility spikes or sudden trend reversals. Instead of relying on static conditions, the system adjusts to current price movements and volatility.
Avoiding Noise:
By adding multiple filters like MF thresholds, slope, and moving averages, the dynamic calculations help reduce false signals that occur in noisy, sideways markets. This helps traders avoid entering trades during periods of low momentum or unclear trends.
How to Use:
Buy Signals: Use these signals to enter long trades when the dynamic conditions align, confirming that upward momentum is strong and backed by institutional flows.
BTCUSDT 2H
Aqua marker/cross signals (price manipulation/continuation)
BTCUSDT 2H
Sell Signals: Use the sell signals to exit long positions or enter short trades when the market shows signs of bearish momentum, confirmed by multiple conditions like MA crossovers and negative money flow.
BTCUSDT 2H
In summary, the Dynamic Buy/Sell Calculations provide a more sophisticated approach to generating trade signals by combining various trend and momentum indicators, helping traders make more informed decisions in different market conditions.
This part of the code is identifying two key trading signals: moments to buy and moments to sell based on the behavior of a calculated trend line.
Buy Condition:
The system looks for a situation where the trend has been moving downward but has started to reverse upward. Specifically, it checks if the trend was declining a little while ago, then stopped falling, and is now starting to rise. If these conditions are met and the trend is still below a certain level, the system considers this a possible time to buy.
Sell Condition:
The opposite happens for selling. The system monitors for a situation where the trend has been moving upward but starts to turn downward. It checks if the trend was rising, leveled off, and now seems to be starting to fall. If these conditions are met and the trend is above a certain level, this could indicate a good time to sell.
Visual Markers:
To help the user easily see these signals on a chart, the system places symbols at specific points. A marker appears on the chart where the conditions for buying or selling are met, allowing the trader to quickly spot potential entry or exit points in the market.
In summary, this logic is designed to detect possible changes in trend direction and signal appropriate times to consider buying or selling, with clear visual markers on the chart for quick identification.
9. Alerts for Buy and Sell
The indicator provides built-in alert conditions for both buy and sell signals. When these conditions are met, the system generates alerts, making it suitable for automated monitoring.
Each of these components works together to detect potential breakout opportunities, trend continuations, and reversals, making the indicator suitable for both short-term and long-term trading strategies.
[ADOL_]Trend_Oscillators_MTF
ENG) Trend_Oscillator_MTF
introduction)
This is a trend analyzer implemented in the form of an oscillator.
An oscillator is a technical analysis tool that identifies the direction of market trends and determines the time period. Making it an oscillator means creating range. By setting the upper and lower limits like this, the unlimited expansion area that can appear on the chart is limited. As a limited area is created, we can identify oversold and overbought areas, which is good for checking momentum.
Through oscillatorization, you can find overbought, oversold, and current trend areas.
It adopts MTF and is a simple but functional indicator.
To use multiple time frames, use the timeframe.multiplier function.
A table was created using the table.new function, and various information windows were installed on the right side of the chart.
I hope this can be a destination for many travelers looking for good landmarks.
- 8 types of moving averages can be selected (in addition to independently developed moving averages), trend area display, signal display, up to 3 multi-time chart overlapping functions, information table display, volatility and whipsaw search, and alerts are possible.
- You can set various time zones in Timeframe. With three timeframes, you can check the conditions overlapping time at a glance.
principle)
Set up two moving averages with different speeds and make the relative difference.
Create the speed difference between the two moving averages using methods such as over = crossover(fast, slow) and under = crossunder(fast, slow).
The point at which the difference in relative speed decreases is where the possibility of inflection is high. Through the cross code, you can find out when the speed difference becomes 0.
Simply crossing the moving average is easy. To fine-tune the speed difference, it is necessary to re-establish the relationship between functions.
Painting the green and red areas is designed to be painted when the three time frames overlap.
Using the code of fill(fast, slow, color = fast>= slow? color.green: color.red, transp = 80, title = "fillcolor")
You can color and distinguish areas.
MA: You can select the MA_type. This is a necessary option because the profit/loss ratio for each item varies depending on the type of moving average.
Start: The starting value to set the oscillator range.
End: This is the last value to set the oscillator range.
Lenght: This is the number of candles used to calculate the calculation formula in the oscillator.
Timeframe: Set the time to overlap with up to 3 time frames.
repaint: You can choose whether to apply repaint. The default is OFF.
The coding for repaint settings for the indicator was written using the recommended method recommended by TradingView.
reference :
security(syminfo.tickerid, tf, src)
Trading method)
With the Multi-Time-Frame (MTF) function, the time zone set in the indicator is displayed the same in any chart time zone.
The repaint problem that occurred when using MTF was resolved by referring to TradingView's recommended code.
User can decide whether to repaint or not. The default is OFF.
- signal
Buy and Sell signals are displayed when there are 3 stacks. Even if there is no triple overlap, you can decide to buy or sell at the point where the short-term line and long-term line intersect.
Entry is determined through Buy and Sell signals, and exit is determined through BL (BuyLoss) and SL (SellLoss).
BL and SL can also be applied as entry.
You can judge overlap by the color of the lines. When two conditions overlap, it is orange, and when one condition overlaps, it is blue.
- Divergence
Divergence is a signal that arises from a discrepancy between the oscillator and the actual price.
Divergence can be identified because the range is set with conditions that have upper and lower limits.
- trend line
As shown in the picture, draw a downward trend line connecting the high points in the same area.
As shown in the picture, an upward trend line is drawn connecting the low points in the same area.
It can be used to view trend line breakout points that candles cannot display.
- Find a property for sale by amplitude
When the low point in the red area and the high point in the green area occur, the difference is regarded as one amplitude and the range is set.
Here, one amplitude becomes a pattern value that can go up or down, and this pattern value acts as support/resistance. It was developed in a unique way that is different from traditional methods and has a high standard of accuracy. This works best when using that indicator. Use 1, 2, 3, or 4 multiples of the amplitude range.
A multiple of 2 is a position with a high probability of a retracement.
- Whipsaw & volatility search section
Whipsaw refers to a trick that causes frequent trading in a convergence zone or confuses the trend in the opposite direction before it occurs. Whip saws are usually seen as having technical limitations that are difficult to overcome.
To overcome this problem, the indicator was created to define a section where whipsaw and volatility can appear. If a whipsaw & volatility indicator section occurs, a big move may occur later.
Alert)
Buy, Sell, BuyLoss, SellLoss, Whipsaw alert
Disclaimer)
Scripts are for informational and educational purposes only. Use of the script does not constitute professional and/or financial advice. You are solely responsible for evaluating the risks associated with your script output and use of the script.
KOR) 트렌드_오실레이터_MTF
소개)
이것은 오실레이터 형태로 구현된 트렌드 분석기 입니다.
오실레이터는 시장의 추세방향을 확인하고 기간을 결정하는 기술적 분석 도구입니다. 오실레이터로 만드는 것은 범위가 생기는 것을 의미합니다. 이렇게 상한과 하한을 정함으로써, 차트에서 나타날 수 있는 무제한적인 확장영역이 제한됩니다. 제한된 영역이 만들어짐에 따라 우리는 과매도와 과매수 구간을 식별할 수 있게 되며, 모멘텀을 확인하기 좋습니다.
오실레이터화를 통해, 과매수와 과매도, 현재의 트렌드 영역을 잘 찾을 수 있습니다.
MTF를 채택했으며, 단순하지만, 기능적으로 훌륭한 지표입니다.
멀티타임프레임을 사용하기 위해 timeframe.multiplier 함수를 사용합니다.
table.new 함수를 사용하여 table을 만들고, 차트 우측에 여러가지 정보창을 갖췄습니다.
좋은 지표를 찾는 많은 여행자들에게 이곳이 종착지가 될 수 있기를 바랍니다.
- 이평선 종류 8종 선택(독자적으로 개발한 이평선 추가), 추세영역표시, 시그널 표기, 최대 3개 멀티타임차트 중첩기능, 정보테이블 표시, 변동성과 휩쏘찾기, 얼러트가 가능합니다.
- Timeframe에서 다양한 시간대를 설정할 수 있습니다. 3개의 Timeframe을 통해 시간을 중첩한 조건을 한눈에 확인할 수 있습니다.
원리)
속도가 다른 두 개의 이평선을 설정하고 상대적인 차이를 만듭니다.
over = crossover(fast, slow) , under = crossunder(fast, slow) 와 같은 방법으로 두개의 이평선의 속도차이를 만듭니다.
상대적 속도의 차이가 줄어드는 시점은 변곡의 가능성이 높은 자리입니다. cross code를 통해 속도차가 0이 되는 시점을 알 수 있습니다.
단순히 이평선을 교차하는 것은 쉽습니다. 세밀하게 속도차이를 조정하는데 함수간의 관계를 다시 설정할 필요가 있습니다.
초록색과 빨간색의 영역을 칠하는 것은 3가지 타임프레임이 중첩될 때 칠하도록 만들어졌습니다.
fill(fast, slow, color = fast>= slow? color.green: color.red, transp = 80, title = "fillcolor") 의 코드를 사용하여
영역을 색칠하고 구분할 수 있습니다.
MA : MA_유형을 선택할 수 있습니다. 이평선의 종류에 따라 종목당 손익비가 달라지므로 꼭 필요한 옵션입니다.
Start : 오실레이터 범위를 설정할 시작값입니다.
End : 오실레이터 범위를 설정할 마지막값입니다.
Lenght : 오실레이터에서 계산식을 산출하기 위한 캔들의 개수입니다.
Timeframe : 최대 3개의 타임프레임으로 중첩할 시간을 설정합니다.
repaint : 리페인팅을 적용할지 선택할 수 있습니다. 기본값은 OFF 입니다.
해당 지표의 리페인트 설정에 관한 코딩은 트레이딩뷰에서 권장하는 추천 방법으로 작성되었습니다.
참고 :
security(syminfo.tickerid, tf, src)
매매방법)
Multi-Time-Frame(MTF) 기능으로 지표에서 설정한 시간대가 어느 차트 시간대에서나 동일하게 표시됩니다.
MTF 사용시 발생하는 리페인트 문제는 트레이딩뷰의 권장코드를 참고하여 해결했습니다.
사용자가 리페인트 여부를 결정할 수 있습니다. 기본값은 OFF 입니다.
- 시그널
시그널의 Buy와 Sell은 3중첩일 경우 표시됩니다. 3중첩이 아니라도 단기선과 장기선이 교차되는 시점에서 매매를 결정할 수 있습니다.
Buy와 Sell 시그널에서 진입을 결정하고 BL(BuyLoss)와 SL(SellLoss) 에서 exit를 결정합니다.
BL과 SL을 진입으로 응용할 수도 있습니다.
라인의 컬러로 중첩을 판단할 수 있습니다. 2개의 조건이 중첩되면 오렌지, 1개의 조건이 중첩되면 블루컬러입니다.
- 다이버전스
다이버전스는 오실레이터와 실제 가격의 불일치에서 발생하는 신호입니다.
상한과 하한이 있는 조건으로 범위를 설정하였기 때문에 다이버전스를 식별가능합니다.
- 추세선
그림과 같이 같은 영역의 고점을 이어 하락추세선을 긋습니다.
그림과 같이 같은 영역의 저점을 이어 상승추세선을 긋습니다.
캔들이 표시할 수 없는 추세선돌파 지점을 볼 수 있게 활용가능합니다.
- 진폭으로 매물대 찾기
빨간색 영역의 저점과 초록색 영역의 고점이 발생할 때, 그 차이를 하나의 진폭으로 보고 범위를 설정합니다.
여기서 하나의 진폭은 위나 아래로 갈 수 있는 패턴값이 되며, 이 패턴값은 지지/저항으로 작용합니다. 전통적인 방식에 없는 독창적인 방식으로 개발된 것으로 정확성 높은 기준입니다. 이것은 해당 지표를 사용할 때 가장 잘 맞습니다. 진폭 범위의 1배수,2배수,3배수,4배수 자리를 사용합니다.
2배수 자리는 다시 돌아오는 되돌림 확률이 높은 위치입니다.
- 휩쏘&변동성 찾기 구간
휩쏘는 수렴구간에서 잦은 매매를 유발하거나, 추세가 발생하기 전에 반대방향으로 혼란을 주는 속임수를 의미합니다. 휩쏘는 보통 극복하기 어려운 기술적 한계로 여겨집니다.
해당지표에서는 이를 극복하기 위해 휩쏘와 변동성이 나타날 수 있는 구간을 정의하도록 만들었습니다. 휩쏘&변동성 표시 구간이 발생하면 이후 큰 움직임이 발생할 수 있습니다.
얼러트)
Buy, Sell, BuyLoss, SellLoss, Whipsaw alert
면책조항)
스크립트는 정보 제공 및 교육 목적으로만 사용됩니다. 스크립트의 사용은 전문적 및/또는 재정적 조언으로 간주되지 않습니다. 스크립트 출력 및 스크립트 사용과 관련된 위험을 평가하는 책임은 전적으로 귀하에게 있습니다.
Liquidity Heatmap [BigBeluga]The Liquidity Heatmap is an indicator designed to spot possible resting liquidity or potential stop loss using volume or Open interest.
The Open interest is the total number of outstanding derivative contracts for an asset—such as options or futures—that have not been settled. Open interest keeps track of every open position in a particular contract rather than tracking the total volume traded.
The Volume is the total quantity of shares or contracts traded for the current timeframe.
🔶 HOW IT WORKS
Based on the user choice between Volume or OI, the idea is the same for both.
On each candle, we add the data (volume or OI) below or above (long or short) that should be the hypothetical liquidation levels; More color of the liquidity level = more reaction when the price goes through it.
Gradient color is calculated between an average of 2 points that the user can select. For example: 500, and the script will take the average of the highest data between 500 and 250 (half of the user's choice), and the gradient will be based on that.
If we take volume as an example, a big volume spike will mean a lot of long or short activity in that candle. A liquidity level will be displayed below/above the set leverage (4.5 = 20x leverage as an example) so when the price revisits that zone, all the 20x leverage should be liquidated.
Huge volume = a lot of activity
Huge OI = a lot of positions opened
More volume / OI will result in a stronger color that will generate a stronger reaction.
🔶 ROUTE
Here's an example of a route for long liquidity:
Enable the filter = consider only green candles.
Set the leverage to 4.5 (20x).
Choose Data = Volume.
Process:
A green candle is formed.
A liquidity level is established.
The level is placed below to simulate the 20x leverage.
Color is applied, considering the average volume within the chosen area.
Route completed.
🔶 FEATURE
Possibility to change the color of both long and short liquidity
Manual opacity value
Manual opacity average
Leverage
Autopilot - set a good average automatically of the opacity value
Enable both long or short liquidity visualization
Filtering - grab only red/green candle of the corresponding side or grab every candle
Data - nzVolume - Volume - nzOI - OI
🔶 TIPS
Since the limit of the line is 500, it's best to plot 2 scripts: one with only long and another with only short.
🔶 CONCLUSION
The liquidity levels are an interesting way to think about possible levels, and those are not real levels.
Vola2vola Volatility indicatorHello everyone!
For those who remember vola2vola volatility script, we are excited to bring it back within the Myfractalrange Tradingview account!
As you know, Volatility is very important to assets and many people use it to trade. This tool automate the calculation of the volatility of every asset as well as provide an estimated value of its "Trend" and "Trade".
The idea in this script is to allow users to have an idea of the current volatility regime of the asset he is monitoring: Is its volatility Bullish or Bearish Trend, Bearish or Bullish Trade? Is its volatility compressed to a previous minimum value? Is it about to experience a spike in volatility? Let's dig together into how this tool works and how you could integrate it into your trading shall we?
What are the data provided by the script, let see one by one:
- Volatility: The value of what vola2vola calls the "synthetic" volatility of the asset is calculated using a custom formula based on the VIXFIX formula. Default colour is blue
- Trade : Trade is generated using an arbitrary and fixed look back period, it acts as a short-term trend. It will give the user the possibility to know if the volatility of the asset is still trending short-term or not. Default colour is black
- Trend: Trend is also generated using an arbitrary and fixed look back period (20 times the one used for Trade), it acts as a longer-term trend. It works the same way as Trade and will give the user the possibility to know if the volatility of the asset is trending a longer-term basis or not. Default colours are: red when the Trend of the volatility of the asset is Bearish and green when the Trend of the volatility of the asset is Bullish
- 52-weeks high & low: Based on the highest and lowest value of Volatility in the past 52 weeks, a 52-weeks high and a 52-weeks low will be marked. These values usually acts as Resistance and Support for volatility. Default colour is black and they are in dotted lines
Here are some of the questions you need to know the answer to before using this script:
- How do you define a "Bullish/Bearish volatility Trade"? Volatility is Bullish Trade is when Volatility is above Trade and it is Bearish Trade when volatility is below Trade
- How do you define a "Bullish/Bearish volatility Trend"? Volatility is Bullish Trend is when Volatility is above Trend and it is Bearish Trend when volatility is below Trend
- On which time frame should i use this script? You want to use the Daily time frame. Although, for short term moves in the volatility space, users could monitor the Hourly timeframe
Understanding the volatility of an asset, along with the bullish or bearish nature of its Trade and Trend, is crucial for investors. Assets with decreasing volatility tend to appreciate in value, while those with increasing volatility tend to depreciate. Therefore, we recommend investors be aware of the volatility situation of the asset they are holding in their portfolio.
Here are the different scenarios that you will encounter on a Daily timeframe and how to interpret them:
- Volatility is below Trade & Trend and Volatility is Bearish Trade and Trend: It is the most Bullish set up for the price of an asset
- Volatility is above Trade & Trend and Volatility is Bullish Trade and Trend: It is the most Bearish set up for the price of an asset
- Any other set up suggests uncertainty, caution is therefore recommended
These are some cases that you could experience while using this script:
1) Bearish Volatility set up on a daily timeframe:
In this example using SPY, when its Volatility is Bearish Trend on a daily timeframe, the price of SPY tends to appreciate
2) Bullish Volatility set up on a daily timeframe:
In this example using SPY, when its Volatility is Bullish Trend on a daily timeframe, the price of SPY tends to depreciate
We hope that you will find these explanations useful, please contact us by private message for access.
Enjoy!
DISCLAIMER: No sharing, copying, reselling, modifying, or any other forms of use are authorised. This script is strictly for individual use and educational purposes only. This is not financial or investment advice. Investments are always made at your own risk and are based on your personal judgement. Myfractalrange is not responsible for any losses you may incur. Please invest wisely.
Ema Short Long Indicator[CHE]█ CONCEPTS
This Pine Script is an EMA Short Long indicator that displays the crossing EMA lines on the chart. The indicator uses three exponential moving averages (EMAs) to generate the buy and sell signals. The EMA lines are plotted as green (uptrend) and red (downtrend) lines. When the green line is above the white signal line, the indicator generates a buy signal, when the green line is below the white signal line, the indicator generates a sell signal. Arrows are also displayed marking the buy and sell signals. There is also an option to allow indicator repainting or not. Finally, users can also set alerts to be alerted to potential trading opportunities.
Note: please do not disable "time frame gaps". Allows to calculate the indicator on a Timeframe (TF) different from that of the chart Time window. The TF should ideally be higher than the charts to provide a broader perspective than
the TF of the chart. Using TFs lower than the chart's will deliver fragmentary results, since only the last value of intrabar is displayed (multiple values cannot be displayed for a single chart bar). The Gaps setting determines the behavior when the TF is higher than the TF of the chart. If 'gaps' is checked, higher TF values only come in and are interconnected on the diagram when the higher TF completed. This has the advantage of avoidance Real-time epainting. If Gaps is not enabled, Gaps are filled with the last higher TF value calculated, which will not produce a repaint Values on historical bars but repaint values realtime.
█ HOW TO USE IT
Load the indicator on an active chart (see the Help Center if you don't know how).
Time period
By default, the script uses an auto-stepping mechanism to adjust the time period of its moving window to the chart's timeframe. The following table shows chart timeframes and the corresponding time period used by the script. When the chart's timeframe is less than or equal to the timeframe in the first column, the second column's time period is used to calculate the Ema Short Long Indicator :
Chart Time
timeframe period
1min 🠆 1H
5min 🠆 4H
1H 🠆 1D
4H 🠆 3D
12H 🠆 1W
1D 🠆 1M
1W 🠆 3M
█ DESCRIPTION
The script begins by setting up the chart indicator with a short title, "ESLI", and enabling it as an overlay. It then initializes several variables for time conversions, to be used later in the script.
The timeStep_translate() function converts the timeframe of the chart into a string representing a larger time interval, based on the number of seconds in the timeframe. The resulting string is used to label the horizontal axis of the chart.
Next, the script defines several input variables that can be modified by the user. These include the colors of the EMA lines and the signals, whether or not the indicator is allowed to repaint (i.e. update past values based on future data), and the number of periods used to calculate the EMA and signal lines.
The f_security() function calls the request.security() function to fetch data from the specified security and timeframe, and is used to calculate the EMA and signal lines using the ta.ema() function. The clo variable is assigned the closing price data, adjusted for repainting and timeframe.
The EMA line is calculated using a weighted average of the EMA over the specified period and two times that period, as well as three times that period, divided by six. The signal line is calculated as the EMA of the EMA line over the specified period.
The col_css variable sets the color of the EMA line based on whether it is currently above or below the signal line. The script then plots the EMA and signal lines, and uses the plotshape() function to indicate long and short signals based on the crossovers and crossunders of the EMA and signal lines.
Finally, the script sets up alert conditions using the alertcondition() function to notify the user when a long or short signal is generated, including information about the symbol and closing price.
█ SPECIAL THANKS
Special thanks to LOXX, I wanted to take a moment to express my gratitude for his valuable input in the EMA calculation. His insights and expertise have greatly helped me in improving my Pine Script coding skills. Thanks to his suggestion, I was able to better understand the EMA formula and implement it effectively in my script.
Your generosity in sharing your knowledge and experience is truly appreciated. It is through collaboration and exchanging ideas that we can all grow and become better in our craft.
This script provides exact signals that, with suitable additional indicators, provide very good results.
Best regards
Chervolino
