Moving Average Cross Probability [AlgoAlpha]Moving Average Cross Probability 📈✨
The Moving Average Cross Probability by AlgoAlpha calculates the probability of a cross-over or cross-under between the fast and slow values of a user defined Moving Average type before it happens, allowing users to benefit by front running the market.
✨ Key Features:
📊 Probability Histogram: Displays the Probability of MA cross in the form of a histogram.
🔄 Data Table: Displays forecast information for quick analysis.
🎨 Customizable MAs: Choose from various moving averages and customize their length.
🚀 How to Use:
🛠 Add Indicator: Add the indicator to favorites, and customize the settings to suite your trading style.
📊 Analyze Market: Watch the indicator to look for trend shifts early or for trend continuations.
🔔 Set Alerts: Get notified of bullish/bearish points.
✨ How It Works:
The Moving Average Cross Probability Indicator by AlgoAlpha determines the probability by looking at a probable range of values that the price can take in the next bar and finds out what percentage of those possibilities result in the user defined moving average crossing each other. This is done by first using the HMA to predict what the next price value will be, a standard deviation based range is then calculated. The range is divided by the user defined resolution and is split into multiple levels, each of these levels represent a possible value for price in the next bar. These possible predicted values are used to calculate the possible MA values for both the fast and slow MAs that may occur in the next bar and are then compared to see how many of those possible MA results end up crossing each other.
Stay ahead of the market with the Moving Average Cross Probability Indicator AlgoAlpha! 📈💡
Dataanalysis
Trade-o-Scope: Plot Custom DataTrade-o-Scope team presents the "Plot Custom Data" indicator.
"Plot Custom Data" is designed to help you bring the custom timeseries data and plot it on the chart.
Motivation:
In the fast-evolving landscape of markets, traders often find themselves analyzing a plethora of data sources, specialized market information, various metrics, etc. While TradingView offers a rich catalog of instruments and market data, there are cases where traders rely on unique data sources, custom calculations, bespoke metrics, or refined analytics that demand visualization.
In some cases, traditional visualization approaches for custom data like plotting in Excel or other platforms may suffice for some. still, we really adore all the great features TradingView supercharts have - native scaling and scrolling, drawing, combining data, applying indicators and strategies on top of any series, etc. The ability to play with custom data on TradingView charts is just a whole new level compared to any alternatives.
With this indicator, we aim to empower traders to effortlessly bring their custom data to the familiar and friendly interface of the TradingView chart.
Basic Features:
Easy Data Input : Simply paste your numerical timeseries data, whether it's a column from Excel, Google Sheets, CSV file, or multiline text from any text editor.
Flexible Configuration : Define the order of values, starting date, and timeframe to match the specifications of your data.
Custom appearance : Personalize your chart by assigning a title to your data and selecting colors for the plot.
Advanced Features:
Value Multiplier : Set a multiplier for the provided values to adjust their scale as needed.
Formatting Options : Customize the display format of values on the chart, whether as price, percentage, or volume.
Conditional Coloring : Define conditions for changing the plot color based on a specific threshold.
Plot Style Selection : Choose from various plot styles such as line, histogram, area, columns, and more, to best visualize your data.
Additional Visual References : Enhance data analysis by activating fixed horizontal lines to aid in visual interpretation.
Leverage TradingView Capabilities : Seamlessly apply various indicators from the TradingView catalog, such as Bollinger Bands or RSI, onto your custom data chart for comprehensive analysis.
Chart Example:
On the chart above, you can observe several "Plot Custom Data" indicators added to demonstrate what your custom data can look like and how multiple indicators can be combined, as well as the indicator configuration screen.
How it works:
The "Plot Custom Data" indicator processes the list of values provided on the configuration form and converts it into data points to be plotted on the chart. To determine the timing of plotting each value, the indicator uses the configured 'starting date' and 'timeframe'. This means the indicator will always plot each subsequent value from your list at the distance of one timeframe from the previous one.
Limitations and Best Practices:
1) The way timeseries data is inputted on the "Plot Custom Data" indicator configuration page, leverages a standard input text field. This input type has a limited character capacity, approximately 4000-4400 symbols. Therefore, the timeseries data cannot exceed this limit.
Let's illustrate this with an example.
Suppose you have a column in Excel that you wish to plot using the indicator. Consider the first 5 rows of values in your column:
| -123.45
| -43.5
| 3.12
| 9.6
| 146.78
To calculate the total symbols used, we need to account for the minus sign, numbers, decimal point, and two invisible symbols at the end of each line, which helps structure the text into multiple lines. So, in total, these 5 rows will use:
row_1 + row_2 + row_3 + row_4 + row_5 = 9 + 7 + 6 + 5 + 8 = 35 symbols or 7 symbols per row on avarage.
If we assume the remaining data follows a similar format, we can estimate the number of rows that can be inputted on the indicator configuration page:
from ~4000 / 7 = 571 rows
to ~4400 / 7 = 628 rows
The right approach to overcome this limitation is to reduce the number of symbols representing each value as much as possible. In our example, consider dropping all decimals, which would lead to an average of 5.4 symbols per row and allow for up to ~800 rows to be accepted by the input field.
If your data primarily consists of large values such as thousands or millions, consider dividing it by a multiplier like x1000 and activating the same multiplier in the indicator settings.
For example, instead of storing values like 5,620,000 in your list, store the value 562 and activate an x10,000 multiplier in the configuration to display the original value on the chart.
It is also possible to combine multiple indicators on one chart and split a larger list of values between them. If you need to display significantly more custom data on charts, you may contact us in DM to find\develop a proper solution.
2) Another important consideration is to ensure that all your data aligns with the selected timeframe in the indicator configuration.
Remember, you provide only the values to the indicator without corresponding dates. Dates are calculated automatically by the indicator based on the configured starting date and chosen timeframe. This means the indicator will always plot each subsequent value from your list at the distance of one timeframe from the previous one.
Here's an example:
Suppose you have a timeseries with 'date' and 'value' columns and a timeframe of 30 minutes:
# | date | value
--|---------------------------|---------
1 | 2024-01-01 11:30:00 | -241.45
2 | 2024-01-01 12:02:13 | -11.56
3 | 2024-01-01 13:00:00 | 21.87
..
..
6 | 2024-01-01 14:30:00 | 19.6
7 | 2024-01-01 15:00:00 |
8 | 2024-01-01 15:30:00 | 46.78
Rows 1-3 represent bad practice:
Row 2 is not precisely aligned with the timeframe, as it has a time of 12:02:13 instead of the expected 12:00:00. This won't cause errors, but the plot will show this value at 12:00:00.
Row 3 has a 1-hour difference from Row 2, which poses a real problem. As the indicator doesn't know the actual dates, it expects Row 3 to be 30 minutes later than Row 2, so it will plot 21.87 at 12:30:00 instead of the actual 13:00:00. And the rest of the values from your list will have offset on the chart as well.
Rows 6-7 represent the correct approach to overcome gaps in your data:
If, for some reason, there is no value for 15:00:00 in the original dataset, adding an empty Row 7 ensures each subsequent row is located 30 minutes from the previous one. The indicator will treat the empty row correctly, not plotting anything at this date on the chart, but will plot a line connecting the value of 19.6 from Row 6 with the value of 46.78 from Row 8.
How to use:
1) Add the "Plot Custom Data" indicator to the chart.
Voila! You'll see the plot based on the default timeseries values list and settings.
2) Paste your numerical timeseries data.
Define the order of values, starting date, and timeframe.
Assign a title to your data and select colors for the plot.
Voila! You'll see the plot based on your timeseries values list and settings.
3) Customize the indicator's settings:
Set a values multiplier if needed.
Specify the appropriate format for the values (price, percentage, or volume).
Choose whether to change the plot color based on conditions.
Select the plot style.
Add horizontal lines.
4) Explore your data, apply additional indicators and strategies from the TradingView catalog, or develop your own scripts using Pine.
Pro Bollinger Bands CalculatorThe "Pro Bollinger Bands Calculator" indicator joins our suite of custom trading tools, which includes the "Pro Supertrend Calculator", the "Pro RSI Calculator" and the "Pro Momentum Calculator."
Expanding on this series, the "Pro Bollinger Bands Calculator" is tailored to offer traders deeper insights into market dynamics by harnessing the power of the Bollinger Bands indicator.
Its core mission remains unchanged: to scrutinize historical price data and provide informed predictions about future price movements, with a specific focus on detecting potential bullish (green) or bearish (red) candlestick patterns.
1. Bollinger Bands Calculation:
The indicator kicks off by computing the Bollinger Bands, a well-known volatility indicator. It calculates two pivotal Bollinger Bands parameters:
- Bollinger Bands Length: This parameter sets the lookback period for Bollinger Bands calculations.
- Bollinger Bands Deviation: It determines the deviation multiplier for the upper and lower bands, typically set at 2.0.
2. Visualizing Bollinger Bands:
The Bollinger Bands derived from the calculations are skillfully plotted on the price chart:
- Red Line: Represents the upper Bollinger Band during bearish trends, suggesting potential price declines.
- Teal Line: Represents the lower Bollinger Band in bullish market conditions, signaling the possibility of price increases.
3.Analyzing Consecutive Candlesticks:
The indicator's core functionality revolves around tracking consecutive candlestick patterns based on their relationship with the Bollinger Bands lines. To be considered for analysis, a candlestick must consistently close either above (green candles) or below (red candles) the Bollinger Bands lines for multiple consecutive periods.
4. Labeling and Enumeration:
To convey the count of consecutive candles displaying consistent trend behavior, the indicator meticulously assigns labels to the price chart. The position of these labels varies depending on the direction of the trend, appearing either below (for bullish patterns) or above (for bearish patterns) the candlesticks. The label colors match the candle colors: green labels for bullish candles and red labels for bearish ones.
5. Tabular Data Presentation:
The indicator complements its graphical analysis with a customizable table that prominently displays comprehensive statistical insights. Key data points within the table encompass:
- Consecutive Candles: The count of consecutive candles displaying consistent trend characteristics.
- Candles Above Upper BB: The number of candles closing above the upper Bollinger Band during the consecutive period.
- Candles Below Lower BB: The number of candles closing below the lower Bollinger Band during the consecutive period.
- Upcoming Green Candle: An estimated probability of the next candlestick being bullish, derived from historical data.
- Upcoming Red Candle: An estimated probability of the next candlestick being bearish, also based on historical data.
6. Custom Configuration:
To cater to diverse trading strategies and preferences, the indicator offers extensive customization options. Traders can fine-tune parameters such as Bollinger Bands length, upper and lower band deviations, label and table placement, and table size to align with their unique trading approaches.
Pro RSI CalculatorThe "Pro RSI Calculator" indicator is the latest addition to a series of custom trading tools that includes the "Pro Supertrend Calculator" and the "Pro Momentum Calculator."
Building upon this series, the "Pro RSI Calculator" is designed to provide traders with further insights into market trends by leveraging the Relative Strength Index (RSI) indicator.
Its primary objective remains consistent: to analyze historical price data and make informed predictions about future price movements, with a specific focus on identifying potential bullish (green) or bearish (red) candlestick patterns.
1. RSI Calculation:
The indicator begins by computing the RSI, a widely used momentum oscillator. It calculates two crucial RSI parameters:
RSI Length: This parameter determines the lookback period for RSI calculations.
RSI Upper and Lower Bands: These thresholds define overbought and oversold conditions, typically set at 70 and 30, respectively.
2. RSI Bands Visualization:
The RSI values obtained from the calculation are skillfully plotted on the price chart, appearing as two distinct lines:
Red Line: Represents the RSI when indicating a bearish trend, anticipating potential price declines.
Teal Line: Represents the RSI in bullish market conditions, signaling the possibility of price increases.
3. Consecutive Candlestick Analysis:
The indicator's core functionality revolves around tracking consecutive candlestick patterns based on their relationship with the RSI lines.
To be included in the analysis, a candlestick must consistently close either above (green candles) or below (red candles) the RSI lines for multiple consecutive periods.
4. Labeling and Enumeration:
To communicate the count of consecutive candles displaying consistent trend behavior, the indicator meticulously assigns labels to the price chart.
Label positioning varies depending on the trend's direction, appearing either below (for bullish patterns) or above (for bearish patterns) the candlesticks.
The color scheme aligns with the candle colors: green labels for bullish candles and red labels for bearish ones.
5. Tabular Data Presentation:
The indicator enhances its graphical analysis with a customizable table that prominently displays comprehensive statistical insights.
Key data points in the table include:
- Consecutive Candles: The count of consecutive candles displaying consistent trend characteristics.
- Candles Above Upper RSI: The number of candles closing above the upper RSI threshold during the consecutive period.
- Candles Below Lower RSI: The number of candles closing below the lower RSI threshold during the consecutive period.
- Upcoming Green Candle: An estimated probability of the next candlestick being bullish, derived from historical data.
- Upcoming Red Candle: An estimated probability of the next candlestick being bearish, also based on historical data.
6. Custom Configuration:
To cater to various trading strategies and preferences, the indicator offers extensive customization options.
Traders can fine-tune parameters like RSI length, upper, and lower bands, label and table placement, and table size to align with their unique trading approaches.
Pro Momentum CalculatorThe Pro Momentum Calculator Indicator is a tool for traders seeking to gauge market momentum and predict future price movements. It achieves this by counting consecutive candle periods above or below a chosen Simple Moving Average (SMA) and then providing a percentage-based probability for the direction of the next candle.
Here's how this principle works:
1. Counting Consecutive Periods: The indicator continuously tracks whether the closing prices of candles are either above or below the chosen SMA.
- When closing prices are above the SMA, it counts consecutive periods as "green" or indicating potential upward momentum.
- When closing prices are below the SMA, it counts consecutive periods as "red" or suggesting potential downward momentum.
2. Assessing Momentum: By monitoring these consecutive periods, the indicator assesses the strength and duration of the current market trend.
This is important information for traders looking to understand the market's behavior.
3. Predicting the Next Candle: Based on the historical data of consecutive green and red periods, the indicator calculates a percentage probability for the direction of the next candle:
- If there have been more consecutive green periods, it suggests a higher likelihood of the next candle being green (indicating a potential upward movement).
- If there have been more consecutive red periods, it suggests a higher likelihood of the next candle being red (indicating a potential downward movement).
The Pro Momentum Calculator indicator's versatility makes it suitable for a wide range of financial markets, including stocks, Forex, indices, commodities, cryptocurrencies...
[MAD] Support / ResistanceSupport/Resistance - Multi-Timeframe Data Plotter
This Pine Script indicator provides users with the ability to analyze various technical indicators, including Bollinger Bands, Simple Moving Averages (SMA), Exponential Moving Averages (EMA), and Pivot Points, across different timeframes. It visually represents these indicators on the chart, allowing for comprehensive analysis.
Key Features:
Bollinger Bands: The indicator supports 6 different timeframes for Bollinger Bands. Users can customize the length of the Bollinger Bands for each timeframe and choose whether to display levels and plots.
Simple Moving Averages (SMA): The indicator supports 4 different timeframes for SMAs. Users can define custom lengths for the SMAs and choose which ones to display on the chart or in the S/R Screen.
Exponential Moving Averages (EMA): Similar to SMAs, the indicator supports 4 different timeframes for EMAs. Users can define custom lengths for the EMAs and choose which ones to display on the chart or in the S/R Screen.
Pivot Points: The indicator supports 4 different timeframes for Pivot Points. Users can choose between Traditional and Fibonacci calculation methods and customize the appearance of the pivot levels.
Global Switches: Users have the option to enable or disable the display of pivots, Bollinger Bands, SMAs, EMAs, open/close/high/low values, horizon plot, and VPR-style plot (weighted Gaussian addition).
Plot Limitation: Users can limit the plotting of support and resistance lines by specifying a percentage up/down.
This indicator offers extensive customization and flexibility, allowing users to analyze the market using these technical indicators across multiple timeframes.
Please refer to this screenshot for an overview of all available settings:
Additionally, the indicator includes a multiplot-chartselect feature to address the limitation of 32 data streams with colors. This feature enables the selection of 10 SMAs or EMAs from different timeframes, along with 3 timeframes of Bollinger Bands and the daily open/close values, all in a single packed indicator. Here is an example of how the data can be displayed:
Enabling all features simultaneously may result in visual overload. However, for users who wish to view specific indicators, this indicator provides all the necessary options. Please refer to this screenshot for an example of various indicators displayed:
To enhance visibility, all lines are weighted, and line and label positions can be dynamically shifted based on these weights.
GDP BreakdownProvides an easy way for viewing the sub sections that make up a country's total GDP. Not all countries provide data for each subsector (Agriculture, Construction, Manufacturing, Mining, Public Administration, Services, Utilities). Only countries that provide complete data are able to be selected in the settings. If I've missed any please let me know in the comment section so they can be added. This is much easier than having to individually selecting each ticker for each country when looking to compare how diversified an economy is.
Trading Portfolio Tracker - The Quant ScienceTrading Portfolio Tracker - The Quant Science™ is a tracking and monitoring trades application.
It is a very useful Pine app for day traders and scalpers. This trading portfolio tracker is a unique solution for users who would monitoring their day trading performance instantly and make more efficient trade management decisions.
HOW IT WORK
The user enters the required data before the application is launched. The software automatically generates the portfolio tracking with all performance data information.
DESCRIPTION
This app keeps track of up to 10 trades simultaneously. The user can activate or deactivate each trade from the user interface.
Using this application is very simple. Install it on your monitor and enter the required data parameters.
Required data for each trade:
1. Open price
2. Invested capital
3. Ticker
4. Leverage
5. Direction
Once this data has been entered, the software will generate the portfolio automatically. You will be able to edit closed trades or newly opened trades directly from the user interface and the software will automatically update with the new parameters.
Probabilistic Analysis Table - The Quant ScienceProbabilistic Analysis Table - The Quant Science ™ is the quantitative table measuring the probability of price changes and quantifies the ratio of sessions for three different assets.
This table measures the ratios of bull and bear events and measures the probability of each event through data generated automatically by the algorithm.
The data are calculated for three different assets:
1. Main asset: set on the chart.
2. Second asset: set by user interface.
3. Third asset: set by the user interface.
The timeframe is set by the chart and is the same for all three assets. You can change the timeframes directly from the chart.
The user can add tickers and adjust the analysis period directly from the user interface. The user can edit the percentage changes and the values to be analyzed for each asset, directly from the user interface.
TABLE DESCRIPTION
1. Total global trade session: are the total number of bars for each asset.
2. Total positive trade session: are the number of positive bars for each asset.
3. Probability positive trade session: is the ratio of total sessions to positive sessions.
4. Total negative trade session: are the number of negative bars for each asset.
5. Probability negative trade session: is the ratio of total sessions to negative sessions.
6. Positive trade session 0.50%: are the number of positive bars greater than 0.50% for each asset.
7. Probability positive trade session 0.50%: is the ratio of total sessions to positive sessions with increases greater than 0.50% (this value is set by default, you can change it from the user interface).
8. Negative trade session -0.50%: are the number of negative bars smaller than -0.50% for each asset.
9. Probability negative trade session -0.50%: is the ratio of total sessions to negative sessions with declines less than -0.50% (this value is set by default, you can change it from the user interface).
10. Positive trade session 1%: are the number of positive bars greater than 1% for each asset.
11. Probability positive trade session 1%: is the ratio of total sessions to positive sessions with increases greater than 1% (this value is set by default, you can change it from the user interface).
12. Negative trade session -1%: are the number of negative bars less than -1% for each asset.
13. Probability negative trade session -1%: is the ratio of total sessions to negative sessions with declines less than -1% (this value is set by default, you can change it from the user interface).
This table was created for traders and quantitative investors who need to quickly analyze session ratios and probabilities.
TradiKator F1 Finance AnalysisTradiKator F1(Finance series 1st) Finance Analysis is a data panel showing a company financial outlook.
In setting, it has color changing function and free plan support.
Please enjoy.
TradiKator is Traders' indicator.
Please visit TraiKator for more free scripts.
We also support the Chinese.
Happy new year!
Wishing you a great and successful journey in the Chinese Zodiac Bull Year.
Technical Analyst by DGTWho needs a Technical Analyst?
yes I can hear someone is asking for, and here is one that can help you with technical analysis
The analyst will present a technical anlaysis report at a glance calculated by the most popular technical indicators , and the good part, the anlayst will do it voluntarily
technical skills of the analyst:
- experienced an all markets
- ability to interpret moving averages
- ability to interpret volume changes
- ability to interpret trend folowing indicators such as:
* directional movement index (dmi), identify trend strength and trend direction
* complex ichimoku cloud , identify trend stregth, and tk crosses
- ability to interpret oscillators such as:
* relative strength index, identify oversold overbought levels, identify the rsi flow
* commodity channel index, identify oversold overbought levels
* awesome identify if grawing or falling
* macd if bullish or bearish, and macd histogram if grawing or falling
- ability to calculate probability and its trend
- non-stop hardworker,
- available 7/24,
- highly dedicated always on duty,
- open for new ideas and willing to learn
- upon request the analyst will create reports with custom settings of your choise
the analyst is not a decition maker, trading success is all about following your trading strategy and the analyst aims to help with the presented reports calculated by the most popular technical indicators
the analyst supports 9 of the popular technical indicators and is willing to learn more , please share your comments and feedbacks and help the analyst improve skills
cheers!
Disclaimer : The script is for informational and educational purposes only. Use of the script does not constitutes professional and/or financial advice. You alone the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
Dark Cloud Cover Pattern Trading Setupthis study is another script based on the candlestick pattern . there are a few filters implemented to be applied to the output result to clear out noises. it sounds like finding real Dark Cloud Cover instances are too rare (interesting though!).
Dark Cloud Cover
it is a bearish reversal candlestick pattern where a down candle (typically bearish) opens above the close of the prior up candle (typically bullish) and then closes below the midpoint of the up candle. The five criteria for the Dark Cloud Cover pattern are:
An existing bullish uptrend.
An up (bullish) candle within that uptrend.
A gap up on the following day.
The gap up turns into a down (bearish) candle.
The bearish candle closes below the midpoint of the previous bullish candle.
all these criteria are implemented in code to produce a more accurate result.
please provide me with your valuable comments,
thanks for your attention,
Dollar Cost Average (Data Window Edition)Hi everyone
Hope you had a nice weekend and you're all excited for the week to come. At least I am (thanks to a few coffee but that still counts !!!)
This indicator is inspired from Dollar-Cost-Average-Cost-Basis
EDUCATIONAL POST
The educational post is coming a bit later this afternoon explaining how to use the indicator so I would advise to follow me so that you'll get updated in real-time :) (shameless self-advertising)
1 - What is Dollar-Cost Averaging (DCA)?
Dollar-Cost Averaging is a strategy that allows an investor to buy the same dollar amount of an investment on regular intervals. The purchases occur regardless of the asset's price.
I hope you're hungry because that one is a biggie and gave me a few headaches. Happy that it's getting out of my way finally and I can offer it
This indicator will analyse for the defined date range, how a dollar cost average (DCA) method would have performed vs investing all the hard earnt money at the beginning
2- What's on the menu today ?
Please check this screenshot to understand what you're supposed to see : CLICK ME I'M A SCREENSHOT (I'll repeat this URL one more time below as I noticed some don't read the information on my description and then will come pinging me saying "sir me no understand your indicator, itz buggy sir"
(yes I finally thought about a way to share screenshots on TradingView, took me 4 weeks, I'm slow to understand things apparently)
My indicator works with all asset classes and with the daily/weekly/monthly timeframes
As always, let's review quickly the different fields so that you'll understand how to use it (and I won't get spammed with questions in DM ^^)
- Use current resolution : if checked will use the resolution of the chart
- Timeframe used for DCA : different timeframe to be used if Use current resolution is unchecked
- Amount invested in your local currency : The amount in Fiat money that will be invested at each period selected above
- Starting Date
- Ending Date
- Select a candle level for the desired timeframe : If you want to use the open or close of the selected period above. Might make a diffence when the timeframe is weekly or monthly
3 - Specifications used
I got the idea from this website dcabtc.com and the result shown by this website and my indicator are very interesting in general and for your own trading
The formula used for the DCA calculation is that one : Investopedia Dollar Cost Average
4 - How to interpret the results
"But sir which results ??"...... those ones : CLICK ME I'M A SCREENSHOT :) (strike #2 with the screenshot)
It will draw all the plots and will give you some nice data to analyze in the Data Window section of TradingView
I'm not completely satisfied with the tool yet but the results are very closed to the dcabtc website mentioned above
If you're trading a very bullish asset class (who said crypto ?), it's very interesting to see what a DCA strategy could bring in term of performance. But DCA is not magic, there is a time component which is the day/week/month you'll start to invest (those who invested in crypto beginning of 2018 in altcoins know what I'm talking about and ..............will hate me for this joke)
5 - What's next ?
As said, the educational post is coming next but not only.
Will probably post a strategy tomorrow using this indicator so that you can compare what's performing best between your trading and a dollar cost average method
I'll publish as a protected source this time a more advanced version of that one including DCA forecasts
6 - Suggested alternative (but I'll you doing it)
If you don't want to have this panel in the bottom with the plots and analyze the results in the data window, you can always create an infopanel like shown here Risk-Reward-InfoPanel/ and display all the data there
Hope you'll like it, like me, love it, love me, tip me :)
____________________________________________________________
Feel free to hit the thumbs up as it shows me that I'm not doing this for nothing and will motivate to deliver more quality content in the future. (Meaning... a few likes only = no indicators = Dave enjoying the beach)
- I'm an offically approved PineEditor/LUA/MT4 approved mentor on codementor. You can request a coaching with me if you want and I'll teach you how to build kick-ass indicators and strategies
Jump on a 1 to 1 coaching with me
- You can also hire for a custom dev of your indicator/strategy/bot/chrome extension/python
Pump|Dump Tickerthis is just a study to investigate the pumps and dumps that have been happened in a crypto market and it should not be used as an indicator. this is also my very first Pine Script that I've written and I am sure it is not perfect. actually I am curious to know when (I mean the exact time of the day) most pumps and dumps happen as a self investigation. the method that is used to define pumps and dumps is not good (and I know that) but I will modify it for better result in next version.
to use this study, you should define whether you want to display pumps or dumps or both and also you should define percent of change (threshold).
