Algos Asia Sweep"Algos Asia Sweep" Indicator is here to help "Asia sweep" traders with statistics and technical analysis.
This indicator includes three main parts:
1. It shows the three major sessions (Asia, London, and New York) as three boxes on the chart, so users can easily find the difference in volume and volatility in each session and use it to take trades with their own strategy.
2. It displays a "statistics table" in the upper-right corner of the chart with information about the breakouts of Asia session highs and lows during the last X days (the number of days used for the calculations can be changed depending on different timeframes and the TradingView edition the user has; it appears in the "session counted" row).
3. It indicates on each day if the Asia session high/low has been broken by creating a circle above the first bar that breaks the Asia high and below the first bar that breaks the Asia low. In addition, it creates a horizontal line at the last session's Asia low and high if they have not yet been broken.
HOW THE CALCULATIONS WORK?
Every day, the script finds each session's high and low. The script counts the number of Asia sessions that have occurred since it started working, and on each day, it identifies if the Asia session high/low/both have been broken. At the end, the indicator divides the number of times the Asia session high/low/both have been broken by the number of sessions executed.
-The indicator is set to GMT+3. Change it to your timezone.
-The indicator can't be used in higher timeframes than 4H, and it is not recommended to use it in higher timeframes than 1H.
-Everything you get from this indicator is NOT considered trading advice. The programmer is not a financial advisor. Any action/decision you make based on this indicator is at your own discretion. Always do your own research and trade only based on your personal judgment.
I would like to know your opinion about using this indicator. Please let me know in the comments.
Forecasting
Fourier Extrapolation of PriceOverview
The "Fourier Extrapolation of Price" indicator utilizes Fourier Transform methods to analyze and predict future price movements based on historical data. By decomposing price series into their frequency components, this indicator provides a forecast of future price trends, making it a powerful tool for traders seeking advanced analytical techniques.
Key Features
Fourier Transform Analysis: Applies Discrete Fourier Transform (DFT) to the price series to identify frequency components.
Price Prediction: Forecasts future prices based on the dominant frequencies detected in the historical data.
Customizable Parameters: Allows users to set the length of historical data for analysis and the forecast period.
Visual Representation: Plots historical and forecasted prices for easy comparison.
How It Works
The indicator first normalizes the price series by subtracting the mean. It then applies the Discrete Fourier Transform (DFT) to the normalized data, extracting the real and imaginary parts. The magnitude and phase of these components are used to forecast future prices through an inverse DFT. Finally, the forecasted prices are denormalized and plotted alongside the historical prices on the chart.
Usage Instructions
Configure Parameters: Set the length of the historical data (DFT Length) and the forecast period (Forecast Length) to suit your analysis.
Apply to Chart: Add the indicator to your chart to start the analysis. Note that the computation may take a minute to complete due to the complexity of the Fourier Transform.
Analyze Results: Review the plotted forecasted prices (in red) alongside the historical prices (in blue) to identify potential future trends.
Trading Decisions: Use the forecasted price trends to inform your trading decisions, such as identifying potential entry and exit points based on predicted market movements.
Note : Due to the computational complexity of the Fourier Transform, the prediction may take a minute to load. Please be patient as the indicator processes the data to provide accurate forecasts.
This indicator is useful for traders who:
Advanced Analysis: Seek advanced mathematical techniques for market analysis.
Trend Prediction: Want to forecast future price movements based on historical data.
Customizable Analysis: Prefer customizable parameters for tailored analysis.
Visual Insights: Appreciate visual representation of historical and forecasted prices for better decision-making.
Gap Trend Lines by @eyemaginativeSummary:
The "Gap Trend Lines" script is designed to identify and visualize gaps between the close of one candle and the opening of the next on a TradingView chart. It draws extended trend lines to visually connect these gaps, helping traders to identify significant price movements between consecutive candles.
Functionality:
Indicator Setup:
The script is set as an overlay indicator on the main chart.
It includes settings for maximum line and label counts, ensuring efficient performance.
Parameter Customization:
Gap Threshold: Defines the minimum gap size considered significant.
Line Colors: Allows customization of colors for small and large gaps.
Line Thickness and Style: Provides options to adjust the thickness and style (solid, dotted, dashed) of the trend lines.
Drawing Extended Trend Lines:
For each bar (candlestick) on the chart, the script checks if there is a gap between the previous candle's close and the current candle's open.
If a gap is detected (i.e., close != open), it determines the size of the gap.
Depending on the size relative to the defined threshold, it selects the appropriate color (small or large gap).
It then draws an extended trend line that starts from the close of the previous candle (bar_index , close ) and extends to the open of the current candle (bar_index, open).
The trend line is drawn with the specified thickness, color, and style.
Dynamic Line Attribute Changes:
The script includes a function (changeLineAttributes()) that periodically changes the color and style of the trend lines.
By default, it changes the color every 4 hours (adjustable), alternating between green and the original color.
Enhanced Functionality:
Handles both small and large gaps with different visual cues (colors).
Supports extended trend lines that span both past and future directions (extend=extend.both), ensuring visibility across the entire chart.
Usage:
Traders can use the "Gap Trend Lines" script to:
Identify and analyze gaps between candlesticks.
Visualize significant price movements or breaks in continuity.
Customize the appearance of trend lines for better clarity and analysis.
By utilizing this script, traders can gain insights into price gap dynamics directly on TradingView charts, aiding in decision-making and strategy development.
Exponential Grid [Phi, Pi, Euler]If you disagree with one of the EMH principles that price is too random, then by definition you must agree that historic price has deterministic function to a scenario ahead.
I personally believe that constants like phi, pi and e can mimic exponential growth of the price.
In this script, first grid is based on the Lowest price multiplied with self fraction of the constant.
For example:
If you are familiar with fib ratio 1.272, then you must know that it is 1.618 to the power of 0.5.
With default settings of exponent step 0.25
First grid = Lowest price x phi^0.25
Second grid = Lowest price x phi^0.25x2
Third grid = Lowest price x phi^0.25x3 and so on
The script will automatically find the lowest price and update the grid values.
Or you can set up your custom Lowest price manually if you feel like the All Time Low level loses its relevance value after long period.
There are 64 grids including Lowest price level. And it wasn't by a chance. Pine Script has a limitation of max 64 plots. Number of grids shown in the chart depends on the highest price. Once price breaks above ATH a couple of next grids will be plotted automatically. In most cases if everything is plotted, the chart appears squeezed and you'll need to zoom in to see it. Therefore, I adjusted it relatively to the scale of the chart for the comfort.
In some cases 64 plots aren't enough to cover the whole chart. For example, let's take a look at NVIDIA chart:
Since the price has started with 0.0333, it is way too small to cover all with default settings.
We are left with 2 choices:
Either Enable "Round"
OR increase Exponent Step (from 0.25 to 0.5 in the particular example below)
If you set constant to pi or e which is a bigger number than phi, expect the gaps to be bigger. To reduce it to a more gradual way of expansion you can decrease Exponent Step.
Earnings Beat IndicatorThis indicator seeks to predict whether a stock will beat or miss earnings by forecasting revenues, and subsequently net income, using linear regression. The y-values of this regression are revenues and the x-axis is an economic series of your choosing. Double-click the status line (the words "US" and "GDP") to change economic datasets. The full list of economic datasets available in TradingView is in the Help Center.
Instructions:
1. Double-click on the status line (the fields "US" and "GDP"). The inputs tab will pop up.
2. Type in the country and data codes for the economic datasets you believe have the highest correlation with revenues and net margins respectively.
3. Check the correlation coefficient between financial data and economic data by interpreting the white and gray numbers on the status line - white for the correlation coefficient between revenues and your chosen economic dataset, and gray for the correlation coefficient between net margins and your chosen economic dataset. These numbers should be as close to +1 or -1 as possible.
4. Interpret the results - the blue number indicates whether revenues will beat estimates and the green number indicates whether earnings will beat estimates. A 1 for both outputs indicates a double beat, a 1 and a 0 indicates a revenue beat but not an earnings beat, a 0 and a 1 indicates an earnings beat but not a revenue beat, and a 0 and a 0 indicates a double miss.
- DickZhones
COT-NocTradingIndicator Description:
Commitments of Traders (COT) Data Indicator
The Commitments of Traders (COT) Data Indicator on TradingView provides insights into market sentiment based on the weekly CFTC (Commodity Futures Trading Commission) reports. It plots three key lines derived from this data, offering valuable information for traders seeking to understand positioning trends among large speculators, commercial hedgers, and small traders.
Lines Plotted:
Commercials: Reflects positions held by commercial entities engaged in the production or sale of the underlying commodity. Their positions often act as a hedge against physical market exposure.
Non Commercials: Represents positions held by large speculators, typically hedge funds and large financial institutions, who often take more significant positions based on their market outlook.
Retail Traders: Shows positions held by small traders, including individual retail traders and smaller institutional players, providing insights into the broader retail sentiment.
Labeling:
Each line is accompanied by a label to clearly identify its corresponding group, enhancing clarity and ease of interpretation for traders analyzing the indicator.
Usage:
Trend Confirmation: Monitor the positioning of commercial and non commercial relative to retail traders to confirm trends and potential reversals.
Sentiment Analysis: Assess shifts in market sentiment based on changes in positioning across different trader categories.
Trading Signals: Use crossovers, divergences, and extreme positioning relative to historical data to generate potential trading signals.
This indicator is valuable for traders looking to incorporate institutional positioning data into their trading strategies, offering a deeper understanding of market dynamics beyond price action alone.
ADX and SADX, SDIThe indicator aims to analyze and visualize the Average Directional Index (ADX) and its smoothed versions, along with directional indicators (DI) to help traders identify trend strength and potential buy/sell signals.
Indicator Settings:
The indicator is named "ADX and SADX, SDI" and is set to display prices with a precision of 2 decimal places.
Users can customize the ADX smoothing length, DI length, ADX smoothing period, and DI smoothing period through input variables.
Directional Movement (DM) Calculation:
The function dirmov calculates the positive and negative directional movements (DM) and the smoothed values of the positive directional index (DI+) and negative directional index (DI-).
This is done using the average true range (ATR) to normalize the DM values.
Average Directional Index (ADX) Calculation:
The function adx calculates the ADX, which measures the strength of a trend.
It uses the DI+ and DI- values to compute the ADX value.
Smoothed ADX and DI Calculation:
The ADX values are further smoothed using a simple moving average (SMA).
The DI difference is also smoothed and used to determine the trend direction.
Buy and Sell Signals:
A buy signal is generated when the DI+ crosses above DI- and the smoothed DI difference is increasing.
A sell signal is generated when the DI- crosses above DI+ and the smoothed DI difference is decreasing.
Plotting:
The ADX, smoothed ADX, smoothed DI difference (SPM), DI+, and DI- values are plotted on the chart.
Horizontal lines are drawn to indicate threshold levels (e.g., level 22).
Background and bar colors change based on buy (lime) and sell (maroon) signals to visually indicate these conditions.
Purpose of the Code:
This Pine Script code is used to create a custom indicator on TradingView that helps traders identify the strength and direction of a trend. The Average Directional Index (ADX) is used to measure trend strength, while the Directional Indicators (DI+ and DI-) are used to determine the direction of the trend. The smoothed versions of these indicators (SADX and SDI) provide additional confirmation and smoothing to reduce noise and false signals. Traders can use the buy and sell signals generated by this indicator to make informed trading decisions based on the trend strength and direction.
Important Note:
This script is provided for educational purposes and does not constitute financial advice. Traders and investors should conduct their research and analysis before making any trading decisions.
Wosabi 2 Time Cycle Gann and candles v3Important Note: This indicator relies on your expertise in time cycles and does not provide any buy or sell signals. It helps you by automating the drawing of minor and major time cycles and digital gates, relying on your personal expertise. It simply draws a vertical line every 12 candles from your selected starting candle and repeats this until the cycle is complete after 12 minor cycles. Additionally, it calculates digital gates, and you need to configure the settings to choose the type of calculation for the digital gate, whether it's based on the commonly known digital gates (12-15-18) or gate targets, for example (369-693-936-258-582-825-147...), and then multiply them based on the price difference you input to draw horizontal lines for the expected gates. If a gate is broken, the price will continue to the next gate.
This indicator is an auxiliary tool for drawing the five, seven, ten, and even fifty or more cycles that Gann discussed. With its default settings, it draws vertical lines every 12 candles for 12 minor cycles (modifiable), forming a major cycle of 144 candles, which is the ten-cycle. (You should have experience in time cycle patterns as explained by Gann to know if the trend will continue up or down over time). The indicator only draws the columns that define the minor cycles, and their total forms the major cycle.
- The indicator also draws digital gates as horizontal lines, which you need to set manually and adjust the price difference from one currency to another in the settings.
- When adding the indicator for the first time, you must specify the starting candle of the trend, whether at a bottom or a top, and determine the highest or lowest price expected to reach five digital gates. If you expect an upward cycle, set the price at the resistance area where you expect the price to bounce. If you want to draw a downward cycle, set the price at the support area where you expect the bounce. You can later adjust the gates from the settings if you want to calculate them according to the digital gate. For example, if you start drawing the downward cycle for Bitcoin, as in the above picture when the highest price was 73881, we add the first two digits 7+3=10, 1+0=1, and the number 1 corresponds to gate 12, so you select it from the settings and then adjust the price difference to 1000 or its multiples since Bitcoin's price is in thousands. If it is another currency with a price not exceeding $100, adjust the price difference to 10 or its multiples. Thus, adjust the price difference from one currency to another. For currencies with values in fractions, the price difference will be 0.0001 or the closest figure to the currency's price, as an example.
- You can display a horizontal line at the close of each minor cycle, i.e., every 12 candles.
- You can display a strategic line at candle 42 from the start of the cycle. The strategic line is used to guide you; if the trend is up and doesn't close below this line after 7 minor cycles, the trend will likely continue up, or above it if the trend is down. In a downtrend, there are slightly different rules that can't be fully explained here.
- You can also display lines on the vibration candles, which are multiples of the number 3 from the start of the cycle, i.e., 3, 9, 12, 15, etc.
- When the trend is upward, the ending price should be higher than the starting price to draw the trend towards the gates correctly. When the trend is downward, the ending price should be lower than the starting price.
- You can now calculate digital gates in more than one way, and you can adjust the digital gates (if you have a specific method for calculating them), double them, or divide them.
** One of the most important additions is the ability to convert minor time cycles into candles to visualize the upcoming direction of the minor cycle.
ملاحظة هامة : هذا المؤشر يعتمد على خبرتك في الدورات الزمنية ولن يعطيك اي اشارات شراء او بيع فهو مؤشر يوفر عليك الرسم للدورات الزمنية الصغرى والكبرى والبوابات الرقمية ويعتمد على خبرتك الشخصية وعمله ببساطه يقوم برسم خط عمودي كل 12 شمعة من بعد اختيارك لاي شمعة ويكرر رسم الاعمده حتى اكتمال الدورة بعد 12 دورة زمنية صغرى كما انه يقوم بحساب البوابات الرقمية ويجب عليك ضبط الاعدادات من المؤشر باختيار نوع الحساب للبوابة الرقمية هل هو حساب البوابات الرقمية المتعارف عليها ( 12-15-18) او حسب اهداف البوابات كمثال (369-693-936-258-582-825-147.....) ثن يتم مضاعفتها حسب ادخالك لفارق الاسعار ليتم رسم خطوط افقيه للبوابات المتوقع اذا كسرها يستمر السعر بالوصول للبوابة التي تليها .
هذا المؤشر اداة مساعدة لرسم دورة الخمس او السبع اوالعشر وحتى الخمسين واكثر التي تحدث عنها gan ، فهو باعداداته الافتراضية يرسم خطوط اعمده راسية كل 12 شمعة ولعدد 12 دورة صغرى (يمكن تعديلها) لتتكون دورة كبرى من 144 شمعة وهي دورة العشرة ، (يجب ان يكون ليك خبرة في انماط الدورات الزمنية كما شرحها gan لتعرف هل سيستمر الصعود او الهبوط زمنياً ) فالمؤشر فقط يرسم الاعمدة التي تحدد الدورات الصغرى ومجموعها يكون الدورة الكبرى .
- يقوم المؤشر ايضا برسم البوابات الرقمية في خطوط افقية وعليك تحديدها بشكل يدوي وتعديل فارق السعر من عملة لاخرى من الاعدادات .
- عند اضافة المؤشر لاول مرة يجب تحديد شمعة بداية الاتجاه سواء عند قاع او قمة وكذلك تحديد السعر الاعلى او الادنى المتوقع ان تصل له خمس بوابات رقمية فاذا كنت تتوقع ان الدورة صاعدة فحينها تحدد السعر عند منطقة المقاومة التي تتوقع ان يرتد منها السعر وان كنت تريد رسم دورة هابطة فحينها تحدد السعر عند منطقة الدعم المتوقع الارتداد منه ويمكنك تعديل البوابات لاحقا من الاعدادات اذا اردت حسابها حسب البوابة الرقمية على سبيل المثال اذا رسمت بداية الدورة الهابطة للبيتكوين كما في الصورة اعلاه حينما كان سعر اعلى قمة 73881 نقوم بجمع اول رقمين و هم 7+3=10 , 1+0=1 والرقم 1 يتبع البوابه 12 فتقوم باختيارها من الاعدادات ثم تقوم بتعديل فارق السعر الى 1000 او مضاعفاته كون سعر البيتكوين بالالاف وان كانت عمله اخرى نفترض ان سعرها ل يتجاوز 100 دولار نعدل فارق السعر الى 10 او مضاعفاته وهكذا نقوم بتعديل فارق السعر من عملة الى اخرى ففي العملات الصفرية سيكون فارق السعر 0.0001 او حسب الرقم القريب لسعر العملة هذا فقط كمثال .
- يمكنك اظهار خط افقي عند اغلاق كل دورة صغرى اي كل 12 سمعة .
- يمكنك اظهار خط الاستراتيجي عند شمعة 42 من بداية الدورة وخط الاستراتيجي يسترشد من خلاله اذا لم يتم الاغلاق اسفله اذا كان الاتجاه صاعد بعد 7 دورات صغرى ان الاتجاه سيستمر او اعلاه اذا كان الاتجاه هابط وفي الاتجاه الهابط هنالك قواعد مختلفة قليلاً لا يتسع المجال لشرحها.
- يمكنك كذلك اظهار خطوط على شمعات الاهتزاز التي تكون من بداية الدورة مضاعفات الرقم 3 اي 3,9,12,15 وهكذ .
- عندما يكون الاتجاه صاعد يجب ان يكون سعر النهاية اعلى من سعر البداية ليتم رسم الاتتجاه للبوابات بشكل صحيح وعندما يكون الاتجاه هابط يجب ان يكون سعر النهاية ادنى من سعر البداية .
- يمكنك الان حساب البوابات الرقمية باكثر من طريقة ويمكنك تعديل البوابات الرقمية (اذا كان لديك طريقة معينة لحسابها) او مضاعفتها او تقسيمها .
** من اهم الاضافات هو امكانية تحويل الدورات الزمنية الصغرة الى شموع حتى تتخيل الاتجاه القادم لحركة الدورة الصغرى .
[XSO-Premium-X1]The indicator is a comprehensive, premium trading indicator designed to optimize your trading strategy through advanced price action analysis. By examining raw price data and market structure, it identifies key areas where price movements are likely to occur. This indicator serves as an essential trading companion, significantly reducing the time required for analysing price action and enabling you to place trades manually or via automated alerts.
Summary:
The indicator is a sophisticated tool crafted for analysing and predicting market trends using a variety of technical analysis techniques. It integrates multiple calculations, filters, and conditions to pinpoint optimal buy and sell signals, thereby assisting you in making well-informed decisions. The indicator emphasizes trend detection, sideways market identification, and signal generation, all while providing visual cues and alerts for trading actions.
The indicator leverages price action calculations to evaluate the market's bullish or bearish tendencies, ensuring that signals are only triggered when price action is strong enough.
This indicator performs extensive calculations, consolidating our top tools into a master signal generator that includes new, extensively tested methods previously unavailable to the public. Signals are confirmed when multiple factors, including price action, align. The indicator swiftly reacts to market changes, providing early signals at the first signs of a reversal.
HOW TO USE THE INDICATOR
Buy Signal
An orange “Buy Signal” will be plotted on the chart to indicate when the most opportunistic time is to place a trade. The indicator includes alert functionality so that you can be notified using the standard Trading View alert management options.
You will see indicated by the blue arrows on the above graph the entry or ‘buy’ signals. The signal is represented by an orange box and clearly states ‘Buy Signal’ inside it. You are also provided with the close price of the bar for which the entry/buy value should be.
Sell Signal
The sell signal will look at the market and detect changes within the trend. There are multiple tools that are used to determine the best time to exit/sell the trade. Our advanced algorithm continually monitors the current action and will determine the most desirable time to display a sell signal box which is blue in colour. This signal will be shown directly on the chart.
Indicated in blue arrows you will see the sell signals. Each signal has four values:
Type of Signal
The current close price of the current bar
The percentage change from the original corresponding buy signal
The previous buy signal’s close price
The indicator will look at many factors when determining if you should exit a trade. Look at the image below and you can see a typical buy and sell signal combination:
The bottom blue arrow indicates your entry or “buy” trade and the top blue arrow indicates your exit or “sell” trade. As you can see you would have entered/bought at 185.76 and exited/sold at 186.895 with a 0.61% margin.
Here is another example:
Hold Asset / Stop Loss
If the market moves to the downside after you have entered a trade then the indicator will track this. Our analysis may determine that the market may continue to fall or that simply the conditions are no longer favourable. Under these circumstances the indicator will flag for you to Hold Asset / Stop Loss. You can then make a decision if you want to hold onto your asset or sell it at a loss.
If you look on the chart below you can see an example of these signals plotted on the chart indicated by the blue arrow.
Alert Management
There are 3 alerts that are fixed. They are:
Buy Signal
Sell Signal
Hold Asset / Stop Loss
You can select which alert you would like to trigger from the standard trading view alert management page. For all buying you would select “Buy Signal” for all selling/take profit you would select “Sell Signal” and for holding the asset (maybe to set a limit order) or to sell the asset at a loss (stop loss), you would choose “Hold Asset / Stop Loss”.
Best Utilization of Our Indicator with Lower Time Frames
Our indicator is specifically designed to excel in short-term trading environments, making it the perfect tool for scalping strategies. For optimal performance, it is best utilized with time frames under 5 minutes . Here’s why our indicator is tailored for lower time frames and not suitable for long-term signalling:
1. Scalping Focus:
o Scalping involves making numerous trades throughout the trading session to capture small price movements. Our indicator is engineered to identify these quick, short-term opportunities, making it ideal for time frames of 3 minutes and under.
2. Rapid Signal Generation:
o Lower time frames generate more data points in a shorter period, allowing our indicator to provide rapid buy and sell signals. This frequency is crucial for scalpers who need to react quickly to market changes.
3. Minimized Market Noise:
o While lower time frames can be more volatile, our indicator includes filters to minimize market noise and focus on significant trading signals. This feature ensures that you receive reliable signals even in fast-paced trading environments.
Suitable Markets
This indicator is versatile and suitable for all markets, offering comprehensive analysis and reliable signals for various trading environments. Its advanced features and customizable settings ensure optimal performance across different market conditions, making it an essential tool for traders in any market.
Strategies
This indicator is ideal for both scalping whilst taking long positions, providing precise, timely signals for short-term trades while also identifying strong trends. Its versatility and advanced features make it a valuable tool for traders with diverse strategies.
What makes our indicator different?
Our indicator incorporates predefined parameters tailored to identify opportunities within a long strategy, rendering this indicator particularly advantageous for traders focused on long positions. Upon identifying a buy position, the indicator issues a buy signal and subsequently initiates asset tracking. A sell signal is generated only when the indicator identifies substantial uncertainty regarding the continuation of the upward trend. Its simple to use.
Swing Highs and Lows predictorHighs and Lows Predictor
Description:
The "Swing Highs and Lows Predictor" is a comprehensive Pine Script indicator designed to help traders identify potential swing highs and lows in the market. This indicator combines moving averages, RSI, Fibonacci retracement levels, and volume analysis to provide a holistic view of market trends and reversals.
Features:
Moving Averages (SMA and EMA): These are used to determine the overall trend direction. The Simple Moving Average (SMA) smooths out price data to identify the direction of the trend over a specified period. The Exponential Moving Average (EMA) reacts more quickly to recent price changes, providing a more sensitive trend indicator.
Relative Strength Index (RSI): This oscillator measures the speed and change of price movements. Values above 70 indicate overbought conditions, while values below 30 indicate oversold conditions. This helps in identifying potential reversal points.
Fibonacci Retracement Levels: These levels are calculated based on the recent significant high and low. They help in identifying potential support and resistance levels where the price might reverse.
Volume Spike Detection: Volume spikes often precede significant price movements. This feature highlights unusual volume activity, indicating potential trend changes.
Swing Highs and Lows: The script identifies and marks significant swing highs and lows based on historical price action. This is useful for traders to spot potential entry and exit points.
How It Works:
Trend Analysis with Moving Averages: The script plots both SMA and EMA on the chart to help identify the current trend. When the EMA is above the SMA, it indicates an uptrend, and vice versa for a downtrend.
Momentum Analysis with RSI: The RSI is plotted to identify overbought and oversold conditions. Traders can look for entries when the RSI exits these zones.
Support and Resistance with Fibonacci Retracements: Fibonacci levels are drawn based on the highest high and lowest low over the specified period. These levels indicate potential areas of support and resistance.
Volume Analysis: The script highlights bars with significant volume spikes, providing additional confirmation for potential reversals.
Identifying Swings: The script uses a combination of high and low price points over a defined period to mark swing highs and lows, helping traders spot potential turning points.
How to Use:
Entry Points: Look for swing low markers combined with oversold RSI levels and support from Fibonacci retracement levels for potential buy entries.
Exit Points: Look for swing high markers combined with overbought RSI levels and resistance from Fibonacci retracement levels for potential sell entries.
Volume Confirmation: Use volume spikes as an additional confirmation for the strength of the identified swings.
Trend Confirmation: Use SMA and EMA to confirm the overall trend direction before making trade decisions.
This script aims to provide a comprehensive tool for traders to analyze market trends, momentum, support, and resistance levels, enhancing their decision-making process. By combining multiple indicators into a single script, it offers a streamlined approach to technical analysis.
Example Usage:
Long Trade Setup: Enter a long position when a swing low is identified, RSI exits the oversold zone, and the price finds support at a Fibonacci retracement level, with a volume spike confirming the move.
Short Trade Setup: Enter a short position when a swing high is identified, RSI exits the overbought zone, and the price faces resistance at a Fibonacci retracement level, with a volume spike confirming the move.
Dinapoli Objective Points (OPs)The DiNapoli Objective Points (OPs) is a drawing tool that computes potential exit targets to a market. It does so by drawing Fibonacci ABC Extensions which form Areas that might condition future market moves. This is a Leading Indicator created by Joe DiNapoli.
Let’s dive into what this tool does.
HOW TO READ THE DINAPOLI OPs
First, let’s review the basic concepts. In the chart below you’ll see a market Up Swing and a Down Swing. Both charts show a significant Retracement within the scope of a larger Swing, and therefore are suitable for this tool.
A Point : That’s the base Reaction Point. In up swings, it’s usually a significant pivot low, while in down swings it’s a pivot high.
B Point : That’s the Focus Point that will define the extent of the extensions. In up swings, it’s usually a significant pivot high, while in down swings it’s a pivot low.
C Point : That’s the Retracement Point from where the extensions will be drawn. The C Point is contained within the A-B Price Range, and often coincides with a Fibonacci Node.
On adding the tool to the chart, it will pop up a message asking the user to click for the 3 Points: A, B and C. Then, the tool will compute the Objective Points. Let’s review them:
COP : It’s the 61.8% Fibonacci Extension. It’s called COP as an acronym for Contracted Objective Point. It’s commonly used as an early Take Profit level or also as a point at which to enable a Trailing Stop Loss.
OP : It’s the 100% Fibonacci Extension. It’s called OP as an acronym for the main Objective Point. It’s usually used as a level where to Take Profit.
XOP : It’s the 161.8% Fibonacci Extension. It’s called XOP as an acronym for Extended Objective Point. It’s usually employed as a Take Profit target in which to close the position or significantly reduce the position weight.
By combining Objective Points with Dinapoli Levels, one can define Areas of Interest that might act as reinforced Support or Resistance levels. The Agreement Area happens where there’s a convergence between a Fibonacci Node and an Objective Point.
WHY WOULD YOU BE INTERESTED IN THIS INDICATOR?
This version of Dinapoli Levels has been designed to address the needs of dedicated traders. Let’s review its main features.
Combine Objective Points with D-Levels!
This tool allows you to quickly compute the Objective Points and display them in a minimalistic non-intrusive fashion.
The fact that the Objective Points get drawn on the right hand side of the chart combines perfectly with the Dinapoli Levels tools.
Keep your Chart Clean!
Disciplined traders keep their charts clean and visually appealing. One needs proper focus to trade in the zone.
Please check how the chart on the left looks compared to the one on the right. Both display exactly the same information. On the right it uses the DiNapoli Objective Points to print the Extensions, whilst on the right it uses the standard Fibonacci Extension tool.
The DiNapoli Objective Points use a view concentrated into the empty right side of the chart, which contributes to a more comprehensive display of information. There are no lines crossing over the price candles. It’s just a better tool. It keeps your charts free of messy lines.
EACH MARKET IN ITS OWN CHART
This tool somehow enhances the functionality of a Fibonacci Extension Drawing Tool. Being in nature a drawing tool, it has been developed as an indicator because that’s the only way it can be done at the present moment in this platform.
Therefore it’s recommended to structure Each Market in its Own Chart . Being coded as an indicator, this tool benefits by displaying over a chart dedicated to a single market.
If you trade on multiple markets, then it’s convenient to set up separate charts for each one. Otherwise, you would need to apply, delete and reapply the tool every time you shift markets.
SETTINGS
Now let’s dive into the settings of this indicator.
ABC Points : This section contains the ABC price points selected and its label visualization controls.
A-Point, B-Point and C-Point : These fields contain the prices that were selected when clicking on the chart. One can change their value by hand, and the indicator will do its best to accommodate the drawing.
Highlight ABC Points : This conditions whether the A-B-C labels should display on screen.
Back Color : Select the color that will be used to highlight the A-B-C labels.
Text Color : Select the color that will be used to print the characters in the A-B-C labels.
Levels : This section allows you to customize the look of the Dinapoli Objective Points.
Enable/Disable Level : Each Level (COP, OP and XOP) can be enabled or disabled.
Level Color : Select the line color for that specific level. Please beware that the default color is 100% transparent. You might need to change the transparency setting in the color picker for the color you’ve selected to appear.
Id : Shows the label identifying the Objective Point.
Price : Shows the price value of the Objective Point.
Offset : Determines how far to the right will the group of DiNapoli Objective Points be located.
Width : Sets the width of the horizontal lines that represent the Objective Points.
Thickness : Sets the line thickness of the lines.
Median Analyst ConsensusThe Median Analyst Consensus Indicator provides an unbiased, easy-to-interpret view of market sentiment by leveraging TradingView's comprehensive financial data library. This tool displays the median 12-month price target and the percentage difference from the current price directly on your charts.
Key Features
1. Accurate Market Sentiment: By consolidating analyst ratings and price targets from multiple reputable sources like Bloomberg, Refinitiv (formerly Thomson Reuters), S&P Capital IQ, and Morningstar, this indicator displays the median analyst consensus. Using the median ensures outlier ratings don't skew the overall sentiment, providing a more robust representation.
2. Simplicity at a Glance: View the median 12-month price target and percentage difference from the current price directly on your chart. No need to juggle multiple reports - key insights are surfaced within your normal trading workflow.
3. Data-Driven Transparency: If no analyst data is available for a particular asset, the indicator will not display, ensuring you only see reliable information. The number of contributing analysts is also shown for context.
Why the Median?
The median is favored over the mean to minimize the impact of outlier ratings that could distort the consensus view. By taking the middle value across all analyst projections, the median provides a more stable, outlier-resistant measure of market sentiment.
Powered by TradingView Data
This indicator taps into TradingView's financial data library, which aggregates analyst ratings, estimates, and recommendations from leading institutional data providers. TradingView sources this data from firms like FactSet, Bloomberg, Refinitiv, S&P Capital IQ, and Morningstar, ensuring a comprehensive and trusted view of analyst sentiment.
The library provides variables like:
syminfo.recommendations_buy
syminfo.recommendations_sell
syminfo.target_price_median
syminfo.recommendations_buy_strong
syminfo.recommendations_sell_strong
The indicator calculates and displays the median of these analyst inputs.
Usage
The indicator displays:
The median 12-month price target across analysts
The percentage difference between the price target and current price
The number of contributing analyst estimates
If no analyst data is available, the indicator does not display, ensuring full transparency.
The Median Analyst Consensus Indicator provides an unbiased, easy-to-interpret view of market sentiment by leveraging TradingView's comprehensive financial data library. This tool offers a new perspective on potential trade opportunities directly on your charts.
Disclaimer
While the data is sourced from reputable providers, analyst forecasts should not be construed as investment recommendations. This indicator aims to synthesize market opinions, but investment decisions are solely your responsibility. As with any analytical tool, you should conduct your own research and risk assessments before executing any trades.
ΔYoY(Economics)Year over year indicator which will benchmark the most recent data vs 1 year lookback; Will automate the lookback for quarterly and monthly data based on timeframe selected (3M for quarterly, 1M for monthly). Tradingview will aggregate weekly data into a monthly data point. SMA applied to get the average over some x period.
Ln(close)Natural log indicator for normalizing data. SMA applied so you can take the average of that normalization factor. Personally use it for US economic data where the value is very large (GDI, Fed Balance Sheet, USM2 etc.) and the year over year delta is not pertinent (USM2) or not available (GDI.. although I did make an indicator to get YoY :D). Any additional ideas leave a comment and I'll take a look.
Nasan Moving Average with ForecastThe "Nasan Moving Average with Forecast" indicator is a technical analysis forecasting tool that combines the principles of historical data analysis and random walk theory. It calculates a customized moving average (Nasan Moving Average) by integrating price data and statistical measures and projects future price points by generating forecast values within calculated volatility bounds, creating a dynamic and insightful visualization of potential market movements. This indicator to blend past market behavior with probabilistic future trends to enhance forecasting.
Input Parameters:
len: Differencing length (default 21, Use a minimum of 5 and for lower time frames less than 15 min use values between 300 -3000)
len1: Correction Factor Length 1 (default 21, this determines the length of the MA you want , eg. 10 MA, 50 MA, 100 MA, )
len2: Correction Factor Length 2 (default 9, this works best if it is ~ </=1/2 of len1 )
len3: Smoothing Length (default 5, I would not change this and only use if I want to introduce lag where you want to use it for cross over strategies).
forecast_points: Number of points to forecast (default 30).
m: Multiplier for standard deviation (default 2.5).
bl: Block length for calculating max/min values (default 100).
use_calculated_max_min: Boolean to decide whether to use calculated max/min values.
Nasan Moving Average Calculation:
Calculates the simple moving average (mean) and standard deviation (sd) of the typical price (hlc3).
Computes intermediate variables (a, b, c, etc.) based on log transformation and cumulative sum.
Applies weighted moving averages (wma) to these intermediate variables to smooth them and derive the final value c6.
Plots c6 as the Nasan Moving Average if the bar is confirmed. To learn more see Nasan Moving Average.
Forecast Points Calculation:
Calculates maximum (max_val) and minimum (min_val) values for the forecast, either using a fixed value or based on standard deviation and a multiplier.
Initializes an array to store forecast values and creates polyline objects for plotting.
If the current bar is one of the last three bars and confirmed:
Clears and reinitializes the polyline.
Initializes the first forecast value from the cumulative sum c.
Generates subsequent forecast values using a random value within the range .
Updates the forecast array and plots the forecast points as an orange curved polyline.
Plotting Max/Min Values:
Plots max_val and min_val as green and red lines, respectively, to indicate the bounds of the forecast range.
Components of the Forecasting Model
Historical Dependence:
Nasan Moving Average Calculation: The script calculates a custom moving average (c6) that incorporates historical price data (hlc3), standard deviations (sd), and weighted moving averages (wma). This part of the code processes historical data to create a smoothed representation of the price trend.
Max/Min Value Calculation: The maximum (max_val) and minimum (min_val) values for the forecast can be calculated based on the historical standard deviation of a transformed variable b over a block length (bl). This introduces historical volatility into the bounds for the forecast.
Random Walk Model:
Random Value Generation: Within the forecast points calculation, a random value (random_val) is generated for each forecast point within the range . This random value introduces stochasticity into the model, characteristic of a random walk process.
Cumulative Sum for Forecasting: The script uses a cumulative sum (prev_f + random_val) to generate the next forecast point (next_f). This is a typical approach in random walk models where each new point is based on the previous point plus some random noise.
Explanation of the Forecast Model
Random Walk Characteristics: Each new forecast point is generated by adding a random value to the previous point, making the model a random walk with drift, where the drift is influenced by historical correction factors (c1, c4).
Historical and Statistical Dependence: The bounds of the random values and the initial conditions are derived from historical data, ensuring that the forecast respects historical volatility and trends.
The forecasting model in the script is a hybrid approach: It uses a random walk to generate future points, characterized by adding random values to the previous forecasted value.
The historical and statistical dependence is incorporated through initial conditions, scaling factors, and bounds derived from historical price data and its statistical properties.
This combination ensures that the forecasts are not purely stochastic but are grounded in historical price behavior, making the model more robust and potentially more accurate in reflecting market conditions.
Introducing the Markov Chain Model IndicatorThis powerful tool leverages Markov chain theory to help traders predict stock price movements by analyzing historical price data and calculating transition probabilities between different states: "Up by >1%", "Stable", and "Down by <1%". This post will provide a comprehensive overview of the indicator, its advantages and disadvantages, and how it can be used effectively in trading decisions.
How It Works
The Markov Chain Model indicator calculates the daily percentage changes in stock prices and categorizes them into three states:
Up by >1%
Stable (between -1% and +1%)
Down by <1%
By analyzing these transitions, the script constructs a transition matrix that shows the probability of moving from one state to another. This matrix is then displayed on the chart, providing traders with valuable insights into potential future price movements.
Advantages of the Markov Chain Model Indicator
Data-Driven Predictions : Utilizes historical price data to calculate probabilities, offering a statistical foundation for predictions.
Visual Representation : Displays the transition matrix directly on the chart, making it easy to interpret and use in trading decisions.
Adaptability : Allows users to customize the percentage threshold, enabling fine-tuning based on different market conditions.
Comprehensive Analysis : Considers multiple states (up, stable, down), providing a more nuanced view of price movements.
Disadvantages of the Markov Chain Model Indicator
Historical Dependence : The model relies on historical data, which may not always accurately predict future movements, especially in volatile markets.
Simplified States : The use of only three states might oversimplify complex market behaviors, potentially missing out on subtler trends.
Limited Scope : Designed for short-term predictions and may not be as effective for long-term investment strategies.
Example Interpretation
Transition Matrix:
From/To | Up >1% | Stable | Down <1% |
---------------------------------------
Up >1% | 0.30 | 0.40 | 0.30 |
Stable | 0.33 | 0.44 | 0.23 |
Down <1% | 0.34 | 0.36 | 0.30 |
Latest 3 States: S2 -> S1 -> S1
Total Bars: 2523
Decision Making Based on the Transition Matrix:
Current State: Up >1%
Next State Probabilities : 30% Up >1%, 40% Stable, 30% Down <1%
Decision : Given the balanced probabilities, a trader might decide to hold the position but set a trailing stop-loss to protect against sudden downturns. If other technical indicators also suggest continued upward momentum, they might increase their position cautiously.
Current State : Stable
Next State Probabilities : 33% Up >1%, 44% Stable, 23% Down <1%
Decision : With a high probability of stability, a cautious approach might be to hold or make small incremental trades, keeping an eye on other market indicators for confirmation.
Conclusion
The Markov Chain Model indicator is a powerful tool for traders looking to leverage statistical models to predict stock price movements. By understanding the transition probabilities between different states, traders can make more informed decisions and better manage their risk. We hope this tool helps enhance your trading strategy and provides you with a deeper understanding of market behaviors.
Try It Out
Copy the script above into TradingView and start exploring the potential of the Markov Chain Model indicator. Happy trading!
Feel free to share your feedback and let us know how this indicator works for you. Your insights can help us improve and develop even more effective trading tools.
ALT Trend DetectionALT Trend Detection Indicator
Overview:
The "ALT Trend Detection" indicator is designed to help traders analyze the relationship between Bitcoin's dominance, Bitcoin's price, and the potential impact on altcoin prices. This indicator uses various time frames and average true range (ATR) calculations to detect trends and provide insights into the altcoin market conditions based on Bitcoin's movements.
How It Works:
BTC Dominance and Price Data:
The indicator fetches Bitcoin dominance data (percentage of the total cryptocurrency market cap that Bitcoin represents) and Bitcoin price data using the selected time frame.
It calculates whether Bitcoin dominance and price are trending up, down, or remaining stable based on ATR calculations.
Altcoin Trend Detection:
The indicator then evaluates different scenarios based on the combination of Bitcoin dominance and price movements. These scenarios help predict the potential impact on altcoin prices.
For instance, if Bitcoin dominance is up and Bitcoin price is up, it might indicate a bearish trend for altcoins. Conversely, if Bitcoin dominance is down and Bitcoin price is up, it might indicate a bullish trend for altcoins (altseason).
Table Display:
The indicator displays a table on the chart that summarizes the current conditions for Bitcoin dominance, Bitcoin price, and the expected impact on altcoins. Each cell in the table is color-coded to provide a quick visual representation of the trends.
Usage:
Add the indicator to your TradingView chart.
Customize the time frame, ATR multiplier, table position, table size, and background color as per your preference.
Observe the table displayed on the chart. It shows the current state of Bitcoin dominance, Bitcoin price, and the potential trend for altcoin prices based on predefined scenarios.
Use this information to make informed trading decisions about altcoins. For example, if the table shows "ALT SEASON" in green, it might be a good time to consider investing in altcoins.
By analyzing the interaction between Bitcoin dominance and price, this indicator helps traders identify potential opportunities and risks in the altcoin market.
FaikValThe "FaikVal" indicator is a powerful tool designed to help traders analyze relative price movements between a base asset and up to three comparison assets. This indicator uses exponential moving averages (EMA) and normalization techniques to identify potential overbought and oversold situations.
Functions and Applications:
Comparison of Price Ratios: The indicator calculates the ratio of the closing price of the base asset to the closing prices of three user-defined comparison assets. This allows for direct comparative analysis and helps identify relative strengths and weaknesses.
EMA Calculations: Two EMAs are calculated for each price ratio (with configurable periods). The difference between these two EMAs serves as the basis for further calculations.
Normalization: The calculated values are normalized over a defined period, helping to smooth out extreme values and facilitate analysis. This normalization transforms the values onto a scale from -100 to 100.
Optional Smoothing: Optional smoothing of the normalized values can be enabled to further reduce short-term fluctuations and generate clearer signals.
Visual Signals: The indicator plots three lines (one for each comparison ratio), representing the normalized values. Additionally, horizontal lines are displayed at +60, -60, and 0 to mark overbought and oversold zones as well as neutral areas.
Customizability: Users can adjust the periods of the EMAs, the length of the normalization period, and the smoothing period. They can also specify which of the three indicators should be displayed.
Applications:
Relative Strength Analysis: Identify whether the base asset is performing stronger or weaker compared to other markets or instruments.
Trend Confirmation: Confirm existing trends by analyzing the movements of the base asset relative to the comparison assets.
Overbought and Oversold Signals: Use the displayed values and horizontal lines to identify potential market turning points and determine entry or exit points.
!!! It works best on the weekly and daily chart for swing trading. It is a set up tool, to determin weather you should go long or short and not a market timing tool. For timing you could use concepts like trend and supply and demand!!!
The "FaikVal" indicator offers versatile and detailed analysis, making it particularly useful for traders seeking deeper insights into relative price strength and weakness.
Anchored Monte Carlo Shuffled Projection [LuxAlgo]The Anchored Monte Carlo Shuffled Projection tool randomly simulates future price points based on historical bar movements made before a user-anchored point in time.
By anchoring our data and projections to a single point in time, users can better understand and reflect on how the price played out while taking into consideration our random simulations.
🔶 USAGE
After selecting the indicator to apply to the chart, you will be prompted to "Set the Anchor Point". Do so by clicking on the desired location on your chart, only time is used as the anchor point.
Note: To select a new anchor point when applied to the chart, click on the 'More' dropdown next to the indicator status bar (○○○), then select "Reset points...".
Alternate Method: You are also able to click and drag the vertical line that displays on the anchor point bar when the indicator is highlighted.
By randomly simulating bar movements, a range is developed of potential price action which could be utilized to locate future price development as well as potential support/resistance levels.
Performing numerous simulations and taking the average at each step will converge toward the result highlighted by the "Average Line", and can point out where the price might develop, assuming the trend and amount of volatility persist.
Current closing price + Sum of changes in the calculation window
This constraint will cause the simulations always to display an endpoint consistent with the current lookback's slope.
While this may be helpful to some traders, this indicator includes an option to produce a less biased range, as seen below:
🔶 DETAILS
The Anchored Monte Carlo Shuffled Projection tool creates simulations based on prices within a user-set lookback window originating at the specified anchor point. Simulations are done as follows:
Collect each bar's price changes in the user-set window.
Randomize the order of each change in the window.
Project the cumulative sum of the shuffled changes from the current closing price.
Collect data on each point along the way.
This is the process for the Default calculation; for the 'Randomize Direction' calculation, when added onto the front for every other change, the value is inverted, creating the randomized endpoints for each simulation.
The script contains each simulation's data for that bar, with a maximum of 1000 simulations.
To get a glimpse behind the scenes, each simulation (up to 99) can be viewed using the 'Visualize Simulations' Options, as seen below.
Because the script holds the full simulation data, the script can also calculate this data, such as standard deviations.
In this script the Standard deviation lines are the average of all standard deviations across the vertical data groups, this provides a singular value that can be displayed a distance away from the simulation center line.
🔶 SETTINGS
Lookback: Sets the number of Bars to include in calculations.
Simulation Count: Sets the number of randomized simulations to calculate. (Max 1000)
Randomize Direction: See Details Above. Creates a more 'Normalized' Distribution
Visualize Simulations: See Details Above. Turns on Visualizations, and colors are randomly generated. Visualized max does not cap the calculated max. If 1000 simulations are used, the data will be from 1000 simulations, however, only the last 99 simulations will be visualized.
🔹 Standard Deviations
Standard Deviation Multiplier: Sets the multiplier to use for the Standard Deviation distance away from the center line.
🔹 Style
Extend Lines: Extends the Simulated Value Lines into the future for further reference and analysis.
Velocity And Acceleration with Strategy: Traders Magazine◙ OVERVIEW
Hi, Ivestors and Traders... This Indicator, the focus is Scott Cong's article in the Stocks & Commodities September issue, “VAcc: A Momentum Indicator Based On Velocity And Acceleration”. I have also added a trading strategy for you to benefit from this indicator. First of all, let's look at what the indicator offers us and what its logic is. First, let's focus on the logic of the strategy.
◙ CONCEPTS
Here is a new indicator based on some simple physics concepts that is easy to use, responsive and precise. Learn how to calculate and use it.
The field of physics gives us some important principles that are highly applicable to analyzing the markets. In this indicator, I will present a momentum indicator. Scott Cong developed based on the concepts of velocity and acceleration this indicator. Of the many characteristics of price that traders and analysts often study, rate and rate of change are useful ones. In other words, it’s helpful to know: How fast is price moving, and is it speeding up or slowing down? How is price changing from one period to the next? The indicator I’m introducing here is calculated using the current bar (C) and every bar of a lookback period from the current bar. He named the indicator the VAcc since it’s based on the average of velocity line (av) and acceleration line (Acc) over the lookback period. For longer periods, the VAcc behaves the same way as the MACD, only it’s simpler, more responsive, and more precise. Interestingly, for shorter periods, VAcc exhibits characteristics of an oscillator, such as the stochastics oscillator.
◙ CALCULATION
The calculation of VAcc involves the following steps:
1. Relatively weighted average where the nearer price has the largest influence.
weighted_avg (float src, int length) =>
float sum = 0.0
for _i = 1 to length
float diff = (src - src ) / _i
sum += diff
sum /= length
2. The Velocity Average is smoothed with an exponential moving average. Now it get:
VAcc (float src, int period, int smoothing) =>
float vel = ta.ema(weighted_avg(src, period), smoothing)
float acc = weighted_avg(vel, period)
3. Similarly, accelerations for each bar within the lookback period and scale factor are calculated as:
= VAcc(src, length1, length2)
av /= (length1 * scale_factor)
◙ STRATEGY
In fact, Scott probably preferred to use it in periods 9 and 26 because it was similar to Macd and used the ratio of 0.5. However, I preferred to use the 8 and 21 periods to provide signals closer to the stochastic oscillator in the short term and used the 0.382 ratio. The logic of the strategy is this
Long Strategy → acc(Acceleration Line) > 0.1 and av(Velocity Average Line) > 0.1(Long Factor)
Short strategy → acc(Acceleration Line) < -0.1 and av(Velocity Average Line) < -0.1(Long Factor)
Here, you can change the Short Factor and Long Factor as you wish and produce more meaningful results that are closer to your own strategy.
I hope you benefits...
◙ GENEL BAKIŞ
Merhaba Yatırımcılar ve Yatırımcılar... Bu Gösterge, Scott Cong'un Stocks & Emtia Eylül sayısındaki “VAcc: Hız ve İvmeye Dayalı Bir Momentum Göstergesi” başlıklı makalesine odaklanmaktadır. Bu göstergeden faydalanabilmeniz için bir ticaret stratejisi de ekledim. Öncelikle göstergenin bize neler sunduğuna ve mantığının ne olduğuna bakalım. Öncelikle stratejinin mantığına odaklanalım.
◙ KAVRAMLAR
İşte kullanımı kolay, duyarlı ve kesin bazı basit fizik kavramlarına dayanan yeni bir gösterge. Nasıl hesaplanacağını ve kullanılacağını öğrenin.
Fizik alanı bize piyasaları analiz etmede son derece uygulanabilir bazı önemli ilkeler verir. Bu göstergede bir momentum göstergesi sunacağım. Scott Cong bu göstergeyi hız ve ivme kavramlarına dayanarak geliştirdi. Yatırımcıların ve analistlerin sıklıkla incelediği fiyatın pek çok özelliği arasında değişim oranı ve oranı yararlı olanlardır. Başka bir deyişle şunu bilmek faydalı olacaktır: Fiyat ne kadar hızlı hareket ediyor ve hızlanıyor mu, yavaşlıyor mu? Fiyatlar bir dönemden diğerine nasıl değişiyor? Burada tanıtacağım gösterge, mevcut çubuk (C) ve mevcut çubuktan bir yeniden inceleme döneminin her çubuğu kullanılarak hesaplanır. Göstergeye, yeniden inceleme dönemi boyunca hız çizgisinin (av) ve ivme çizgisinin (Acc) ortalamasına dayandığı için VAcc adını verdi. Daha uzun süreler boyunca VACc, MACD ile aynı şekilde davranır, yalnızca daha basit, daha duyarlı ve daha hassastır. İlginç bir şekilde, daha kısa süreler için VAcc, stokastik osilatör gibi bir osilatörün özelliklerini sergiliyor.
◙ HESAPLAMA
VAcc'nin hesaplanması aşağıdaki adımları içerir:
1. Yakın zamandaki fiyatın en büyük etkiye sahip olduğu göreceli ağırlıklı ortalamayı hesaplatıyoruz.
weighted_avg (float src, int length) =>
float sum = 0.0
for _i = 1 to length
float diff = (src - src ) / _i
sum += diff
sum /= length
2. Hız Ortalamasına üstel hareketli ortalamayla düzleştirme uygulanır. Şimdi bu şekilde aşağıdaki kod ile bunu şöyle elde ediyoruz:
VAcc (float src, int period, int smoothing) =>
float vel = ta.ema(weighted_avg(src, period), smoothing)
float acc = weighted_avg(vel, period)
3. Benzer şekilde, yeniden inceleme süresi ve ölçek faktörü içindeki her bir çubuk için fiyattaki ivmelenler yada momentum şu şekilde hesaplanır:
= VAcc(src, length1, length2)
av /= (length1 * scale_factor)
◙ STRATEJİ
Aslında Scott muhtemelen Macd'e benzediği ve 0,5 oranını kullandığı için 9. ve 26. periyotlarda kullanmayı tercih etmişti. Ancak kısa vadede stokastik osilatöre daha yakın sinyaller sağlamak için 8 ve 21 periyotlarını kullanmayı tercih ettim ve 0,382 oranını kullandım. Stratejinin mantığı şu
Uzun Strateji → acc(İvme Çizgisi) > 0,1 ve av(Hız Ortalama Çizgisi) > 0,1(Uzun Faktör)
Kısa strateji → acc(İvme Çizgisi) < -0,1 ve av(Hız Ortalama Çizgisi) < -0,1(Uzun Faktör)
Burada Kısa Faktör ve Uzun Faktör' ü dilediğiniz gibi değiştirip, kendi stratejinize daha yakın, daha anlamlı sonuçlar üretebilirsiniz.
umarım faydasını görürsün...
Leading MACDThe Moving Average Convergence Divergence (MACD) indicator is one of the most popular and versatile tools used by traders to identify potential buy and sell signals. It helps traders determine the strength and direction of a trend by comparing different moving averages of a security's price. The traditional MACD uses two exponential moving averages (EMAs), a fast EMA (typically 12 periods) and a slow EMA (typically 26 periods), along with a signal line (typically a 9-period EMA of the MACD line) to generate trading signals.
Our "Custom MACD with Leading Length" script for TradingView enhances the traditional MACD by introducing an additional smoothing factor called the "leading length." This customization aims to reduce noise and provide a potentially earlier indication of trend changes, making it a valuable tool for traders seeking to optimize their trading strategies.
- **Purpose:** This additional smoothing factor is designed to reduce noise and provide a potentially leading signal, enhancing the accuracy of trend identification.
## How It Works
1. **Calculate the MACD Line:**
The MACD line is calculated by subtracting the slow EMA from the fast EMA. This difference represents the convergence or divergence between the two EMAs.
2. **Calculate the Signal Line:**
The signal line is an EMA of the MACD line. This additional smoothing helps to generate clearer buy and sell signals based on crossovers with the MACD line.
3. **Calculate the Histogram:**
The histogram represents the difference between the MACD line and the signal line. It visually indicates the strength and direction of the trend. A positive histogram suggests a bullish trend, while a negative histogram indicates a bearish trend.
4. **Apply Leading Length Smoothing:**
To incorporate the leading length, the script applies a simple moving average (SMA) to both the MACD and signal lines using the leading length parameter. This additional smoothing helps to further reduce noise and potentially provides earlier signals of trend changes.
## Benefits of the Leading MACD
### Reduced Noise
The leading length parameter adds an extra layer of smoothing to the MACD and signal lines, helping to filter out market noise. This can be particularly beneficial in volatile markets, where frequent price fluctuations can generate false signals.
### Potential Early Signals
By smoothing the MACD and signal lines, the leading length can help to provide earlier indications of trend changes. This can give traders a potential edge in entering or exiting trades before the broader market reacts.
### Enhanced Trend Identification
The combination of the traditional MACD with the leading length smoothing can enhance the accuracy of trend identification. Traders can use this tool to confirm the strength and direction of trends, making it easier to make informed trading decisions.
### Versatility
The Custom MACD with Leading Length can be applied to various timeframes and asset classes, including stocks, forex, commodities, and cryptocurrencies. Its adaptability makes it a valuable tool for traders with different strategies and preferences.
## Practical Applications
### Buy Signal
A typical buy signal occurs when the MACD line crosses above the signal line. With the additional smoothing provided by the leading length, traders might receive this signal slightly earlier, allowing them to enter a long position sooner. This can be particularly advantageous in capturing the beginning of a bullish trend.
### Sell Signal
Conversely, a sell signal is generated when the MACD line crosses below the signal line. The leading length smoothing can help to provide this signal earlier, enabling traders to exit a long position or enter a short position before the trend reversal is fully recognized by the market.
### Divergence Analysis
Traders can also use the Custom MACD with Leading Length for divergence analysis. Bullish divergence occurs when the price makes a new low, but the MACD line forms a higher low. This suggests that the downward momentum is weakening, potentially leading to a bullish reversal. Bearish divergence is the opposite, where the price makes a new high, but the MACD line forms a lower high, indicating a potential bearish reversal.
### Confirmation Tool
The Custom MACD with Leading Length can be used in conjunction with other technical indicators to confirm trading signals. For example, traders might use it alongside support and resistance levels, trendlines, or other momentum indicators to validate their trade entries and exits.
## Conclusion
The Custom MACD with Leading Length is a powerful enhancement of the traditional MACD indicator. By introducing an additional smoothing factor, it aims to reduce noise and provide earlier signals of trend changes. This makes it a valuable tool for traders seeking to improve their market analysis and trading strategies.
Whether you are a day trader, swing trader, or long-term investor, the Custom MACD with Leading Length can help you make more informed decisions by offering clearer insights into market trends. Its adaptability to different timeframes and asset classes further enhances its utility, making it a versatile addition to any trader's toolkit.
Experiment with the parameters to find the optimal settings that suit your trading style and preferences. Use the Custom MACD with Leading Length to gain a deeper understanding of market dynamics and enhance your trading performance.
VolCorrBeta [NariCapitalTrading]Indicator Overview: VolCorrBeta
The VolCorrBeta indicator is designed to analyze and interpret intermarket relationships. This indicator combines volatility, correlation, and beta calculations to provide a comprehensive view of how certain assets (BTC, DXY, CL) influence the ES futures contract (I tailored this indicator to the ES contract, but it will work for any symbol).
Functionality
Input Symbols
BTCUSD : Bitcoin to USD
DXY : US Dollar Index
CL1! : Crude Oil Futures
ES1! : S&P 500 Futures
These symbols can be customized according to user preferences. The main focus of the indicator is to analyze how the price movements of these assets correlate with and lead the price movements of the ES futures contract.
Parameters for Calculation
Correlation Length : Number of periods for calculating the correlation.
Standard Deviation Length : Number of periods for calculating the standard deviation.
Lookback Period for Beta : Number of periods for calculating beta.
Volatility Filter Length : Length of the volatility filter.
Volatility Threshold : Threshold for adjusting the lookback period based on volatility.
Key Calculations
Returns Calculation : Computes the daily returns for each input symbol.
Correlation Calculation : Computes the correlation between each input symbol's returns and the ES futures contract returns over the specified correlation length.
Standard Deviation Calculation : Computes the standard deviation for each input symbol's returns and the ES futures contract returns.
Beta Calculation : Computes the beta for each input symbol relative to the ES futures contract.
Weighted Returns Calculation : Computes the weighted returns based on the calculated betas.
Lead-Lag Indicator : Calculates a lead-lag indicator by averaging the weighted returns.
Volatility Filter : Smooths the lead-lag indicator using a simple moving average.
Price Target Estimation : Estimates the ES price target based on the lead-lag indicator (the yellow line on the chart).
Dynamic Stop Loss (SL) and Take Profit (TP) Levels : Calculates dynamic SL and TP levels using volatility bands.
Signal Generation
The indicator generates buy and sell signals based on the filtered lead-lag indicator and confirms them using higher timeframe analysis. Signals are debounced to reduce frequency, ensuring that only significant signals are considered.
Visualization
Background Coloring : The background color changes based on the buy and sell signals for easy visualization (user can toggle this on/off).
Signal Labels : Labels with arrows are plotted on the chart, showing the signal type (buy/sell), the entry price, TP, and SL levels.
Estimated ES Price Target : The estimated price target for ES futures is plotted on the chart.
Correlation and Beta Dashboard : A table displayed in the top right corner shows the current correlation and beta values for relative to the ES futures contract.
Customization
Traders can customize the following parameters to tailor the indicator to their specific needs:
Input Symbols : Change the symbols for BTC, DXY, CL, and ES.
Correlation Length : Adjust the number of periods used for calculating correlation.
Standard Deviation Length : Adjust the number of periods used for calculating standard deviation.
Lookback Period for Beta : Change the lookback period for calculating beta.
Volatility Filter Length : Modify the length of the volatility filter.
Volatility Threshold : Set a threshold for adjusting the lookback period based on volatility.
Plotting Options : Customize the colors and line widths of the plotted elements.
Funding Rate [CryptoSea]The Funding Rate Indicator by is a comprehensive tool designed to analyze funding rates across multiple cryptocurrency exchanges. This indicator is essential for traders who want to monitor funding rates and their impact on market trends.
Key Features
Exchange Coverage: Includes data from major exchanges such as Binance, Bitmex, Bybit, HTX, Kraken, OKX, Bitstamp, and Coinbase.
Perpetual Futures and Spot Markets: Fetches and analyzes pricing data from both perpetual futures and spot markets to provide a holistic view.
Smoothing and Customization: Allows users to smooth funding rates using a moving average, with customizable MA lengths for tailored analysis.
Dynamic Candle Coloring: Option to color candles based on trading conditions, enhancing visual analysis.
In the example below, the indicator shows how the funding rate shifts with market conditions, providing clear visual cues for bullish and bearish trends.
How it Works
Data Integration: Uses a secure security fetching function to retrieve pricing data while preventing look-ahead bias, ensuring accurate and reliable information.
TWAP Calculation: Computes Time-Weighted Average Prices (TWAP) for both perpetual futures and spot prices, forming the basis for funding rate calculations.
Funding Rate Calculation: Determines the raw funding rate by comparing TWAPs of perpetual futures and spot prices, then applies smoothing to highlight significant trends.
Color Coding: Highlights the funding rate with distinct colors (bullish and bearish), making it easier to interpret market conditions at a glance.
In the example below, the indicator effectively differentiates between bullish and bearish funding rates, aiding traders in making informed decisions based on current market dynamics.
Application
Market Analysis: Enables traders to analyze the impact of funding rates on market trends, facilitating more strategic decision-making.
Trend Identification: Assists in identifying potential market reversals by monitoring shifts in funding rates.
Customizable Settings: Provides extensive input settings for exchange selection, MA length, and candle coloring, allowing for personalized analysis.
The Funding Rate Indicator by is a powerful addition to any trader's toolkit, offering detailed insights into funding rates across multiple exchanges to navigate the cryptocurrency market effectively.
