Market Phases NJRMarket Phases Indicator
Overview:
The Market Phases Indicator is a versatile tool designed for traders to identify key market phases, including accumulation, distribution, markup, and markdown. By analyzing the relationship between price and volume, this indicator aims to assist traders in recognizing potential shifts in market sentiment and trend direction.
Features:
1. **Moving Average Analysis:**
- Utilizes a customizable moving average length to assess the overall trend direction.
2. **Volume Confirmation:**
- Incorporates volume analysis to confirm the strength of identified market phases.
3. **Visualization:**
- Clearly visualizes accumulation, distribution, markup, and markdown phases on the price chart using intuitive shapes.
Input Parameters:
- **Moving Average Length (default: 20):**
- Adjusts the length of the moving average for trend analysis.
- **Volume Multiplier (default: 1.5):**
- Sets the multiplier to customize the volume threshold for identifying significant market phases.
How to Use:
1. **Accumulation and Distribution:**
- Green triangles indicate potential accumulation phases when the closing price is above the moving average, and volume is higher than the specified threshold. Red triangles indicate potential distribution phases.
2. **Markup and Markdown:**
- Blue triangles suggest potential markup phases when the closing price is above the moving average, and volume is below the specified threshold. Orange triangles indicate potential markdown phases.
Important Notes:
- This indicator is a tool for analysis and should be used in conjunction with other technical analysis methods.
- Parameters can be adjusted based on the specific characteristics of the asset being analyzed.
Disclaimer:
Trading involves risk, and no indicator can guarantee profits. Users should exercise caution, conduct thorough research, and consider risk management principles when making trading decisions.
Komut dosyalarını "Cycle" için ara
[F][IND] - Time Range HighlighterDescription:
Introducing the Time Range Highlighter script for TradingView – a precision tool designed to enhance your chart analysis experience with a focus on simplicity and functionality. This script caters to traders who find value in isolating specific time intervals for a more detailed market study, akin to the concept of trading "macros".
Key Features:
1. Effortless Customization:
Define and highlight your preferred time ranges effortlessly. Tailor the script to align with your trading strategy by setting specific start and end times for enhanced precision.
2. Multi-Interval Support:
Seamlessly analyze multiple time ranges concurrently. Toggle between highlighted intervals with ease, allowing for a comprehensive examination of various market conditions without cluttering your chart.
3. Enable/Disable On-Demand:
Maintain control over the clutter on your chart. The enable/disable feature lets you activate or deactivate the highlighted time ranges at your discretion, ensuring a clean and unobstructed view when needed.
4. Focused Chart Analysis:
By visually emphasizing chosen time intervals, the script facilitates a focused analysis of critical market movements, enabling traders to identify patterns and trends with efficiency. This feature is particularly beneficial for those employing trading "macros" to filter out noise and concentrate on key periods.
Usage Instructions:
1. Apply the Time Range Highlighter script to your TradingView chart.
2. Customize the script settings to define specific time ranges tailored to your trading preferences.
3. Toggle between enabled and disabled states as needed to maintain clarity on your chart.
4. Leverage the script to streamline your chart analysis process and make more informed trading decisions, especially when employing trading "macros" to focus on specific market intervals.
Disclaimer:
This indicator is provided for educational purposes only. Trading involves risk, and users should consult with a financial professional before making any trading decisions.
Your Feedback Matters!
Please feel free to comment or reach out if you have any improvement suggestions or if you would like to request the development of a specific indicator. Your feedback is invaluable!
[PUZ]Relativ Strength Index [MTB]Here I provide you with my new RSI indicator.
This RSI has some advantages over the normal Tadingview RSI.
The RSI is usually calculated exclusively on a Candel Close basis. My RSI is calculated on a Candel Close, Open, High, Low basis, which makes it look a little smoother. Furthermore, there are not only 3 support and resistance lines but a total of 7 where the rsi can bounce. These lines can all be set variably under the Style settings.
In addition, the RSI also shows divergences and hidden divergences via red and blue lines.
There is also the option to make trend settings
Option one involves determining the trend based on various selectable moving averages. You can also select the time frame for trend determination.
The trend is shown by coloring the background in the RSI green and red. Of course you can also switch the background on and off.
The second trend option is to determine a Fibbonacci line which is displayed red or green on LVL 100 depending on the trend direction.
In this trend calculation you can also select the time frame yourself and you can use the sensitivity to determine how many previous candels are taken into account to determine the trend.
If a candel close occurs above the 0.5 and 0.236 Fibb LVL, the trend turns green.
If a candel close occurs below the 0.5 and 0.786 Fibb LVL, the trend turns red.
A final additional feature is an output module where the RSI data is scaled between 0 and 1 in order to further process this data in future scripts.
A huge thank you goes out to djmad for providing his math library and another thank you to jdehorty for providing his MLExtension library
Cumulative Volume Value (BTC)The Cumulative Volume Value (BTC) indicator is designed to visualize and analyze cumulative volume data specific to Bitcoin. This indicator provides insights into the total volume transacted over a time, aiding in understanding market activity and potential value of Bitcoin.
It considers whether the closing price is greater than the opening price over the defined length, adding or subtracting volume accordingly.
The Cumulative Volume Value (BTC) indicator offers a valuable perspective on Bitcoin's market activity by visualizing cumulative volume and providing insights into potential market tops, bottoms, and the relationship between volume and BTC value movements.
Peaks in the cumulative volume might suggest potential tops in the BTC market, indicating periods of intense trading activity.
Conversely, bottoms in cumulative volume might signal potential market bottoms, representing phases of reduced trading activity or consolidation.
This is how human psychology works. The greatest activity is close to the peak and the worst when the price of BTC has decreased to the level when people lose interest and faith in the cryptocurrency market and the volume of trades falls, then the best time to buy.
Important Considerations:
Historical patterns suggest a relationship between cumulative volume and market tops/bottoms, but this indicator should be used in conjunction with other technical analysis tools for informed trading decisions.
Past performance of cumulative volume in relation to market tops or bottoms does not guarantee future outcomes in financial markets.
Interest Rate and GDP Dashboard by toodegreesDescription:
The Interest Rate and GDP Dashboard is a powerful tool designed to provide traders with valuable insights into Interest Rate and Gross Domestic Product (GDP) of the largest Central Banks.
Interest Rates are closely monitored from all around the world, and play a massive role in Interbank Institutional Trading. Although mainly used by Forex traders, it's important for all types of analysts to understand risk-on and risk-off environments in respective currencies, or other asset classes, based on a global financial landscape.
Forex Pair Dashboard ( FOREXCOM:EURUSD ):
Non-Forex Pair Dashboard ( CME_MINI:ES1! ):
This tool displays the Live Interest Rates (as well as latest Interest Rate Change) and GDP, of the following countries/regions:
Australia
Canada
Europe
Japan
New Zealand
Switzerland
United Kingdom
United States
Further, analysts will be able to see Interest Rate Change labels directly on chart, to monitor Time and price relationship following rate hikes or rate cuts. The labels will display according to the impact of the Interest Rate Change on the current asset on chart, and their tooltips will display the %Change:
Analysts can also choose to mark Interest Rate Changes with vertical lines, to aid in marking changes in sentiment or global financial environment:
The real power and value provided by this tool is its tailored Interest Rate (and GDP) Differential feature for Forex markets, based on the Interest Rate Differential concept as taught by the Inner Circle Trader (ICT).
Using Interest Rate Differentials as a further Long Term Bias factor was introduced by ICT in conjunction with other higher Timeframe principles like Seasonal Tendency, Commitment of Traders, and Open Interest. This fusion ensures a holistic approach to dissecting specific Forex pairs, and the involvement of Institutional traders.
Key Features:
Dynamically calculates and organizes the dashboard to display the interest rate differential of the chart's forex pair, or displays all if outside of forex markets.
Pinpoint historical interest rate changes with precision using vertical lines and/or dynamic labels with tooltips.
Other Features:
Toggle Options: Customize your viewing experience by toggling the display of previous rate changes, enabling or disabling GDP visibility, and tailoring the size and location of the dashboard.
Fine-tune Visuals: Adjust the size and style of the previous interest rate labels and lines to suit your preferences, offering a personalized touch to your analytical workspace.
Usage Guidance:
Add the Interest Rate and GDP Dashboard to your Tradingview chart.
Tailor your experience by customizing the table and style to be in line with your analytical preferences, ensuring a visually engaging and personalized chart.
Observe where and when key Interest Rate decisions impact the macro trend or market environment.
Leverage this invaluable information to shape your Higher Timeframe narrative in confluence with other tools.
Trend Direction Sequence | Auto-Multi-TimeframeThe main benefit of this indicator is the ability to see multiple higher timeframes at ones to get a better overview of signals that could mark possible trend reversals with more weight than those on the selected timeframe. Since the higher timeframes are calculated automatically, the user needs to set a Period Multiplier that multiplies the selected timeframe several times to determine the higher timeframes. Equal periods are filtered out. And the current highest timeframe is capped at 1 year by TradingView.
It is possible to alter the sequence Count Limit and the underlying Wavelength. The Wavelength defines the distance between the starting and ending candle. This builds the minimum condition to find a trend. A longer Wavelength means that the distortions between the start and end candle can be bigger, so it can become easier to find a trending sequence. But be careful not to set the length too high as this could mean that the resulting sequence does not really represent a trend anymore. The Count Limit defines the completion of a trending sequence. A higher number makes it more difficult to find a completed sequence, but also makes the result more reliable. If the Wavelength is changed, the Count Limit should be adjusted accordingly.
There is also a qualifier for the completion of a sequence. A completed sequence only will be labeled on the chart, if it is proved that the lowest low/highest high of the last two candlesticks of a period is lower/higher than that of the previous two candlesticks. It does not require the trend to be continuous on the last candlestick. On the contrary, a trend shift may already have begun.
By default, the labeling of completed sequences will appear on the highs and lows of the specific periods. Because the higher periods will take time and several candlesticks to appear, the labels will be redrawn accordingly. As an option it is possible to disable the Count Limit for completed sequences so that the labels will be fluently redrawn until the corresponding sequences are interrupted by trend breaks. Only activate this option, if it can serve a plausible strategy.
The count status of all sequences in the specific timeframe periods is listed in a table. Also the results of the trends in higher timeframes are accumulated and combined into an overall trend. Positive trends are counted as positive, negative in the opposite case. To see the resulting Trend Shift Signals, the user can set a filter under 100% so that not all of them will be filtered out and therefore labeled on the chart (this signals cannot be redrawn). An “External Indicator Analysis Overlay” can be used to analyze the profitability with the provided Trend Shift Signal (TSS) which switches from 0 to 1, if the trend becomes positive or from 0 to -1, if the trend becomes negative.
Monthly Price Insights V1 [PINESCRIPTLABS]This indicator displays a chart table that compares the current price of the asset with the closing prices of the last 12 months. This table includes columns for the month, the current price, the previous price, and the percentage change.
Monthly Color Visualization: The indicator uses unique colors for each month, facilitating quick identification of the current and previous periods on the trading chart.
Calculation of Percentage Changes: The indicator calculates the percentage change in price from the previous month, providing a clear perspective on the price trend over time.
Dynamic Data Update: It automatically updates to reflect changes in the asset's price.
Español:
Este indicador muestra una tabla en el gráfico que compara el precio actual del activo con los precios de cierre de los últimos 12 meses. Esta tabla incluye columnas para el mes, el precio actual, el precio anterior y el cambio porcentual.
Visualización por Colores Mensuales: El indicador utiliza colores únicos para cada mes, facilitando la identificación rápida del periodo actual y los anteriores en el gráfico de trading.
Cálculo de Cambios Porcentuales: El indicador calcula el cambio porcentual en el precio desde el mes anterior, proporcionando una perspectiva clara de la tendencia del precio a lo largo del tiempo.
Actualización Dinámica de Datos: Se actualiza automáticamente para reflejar los cambios en el precio del activo.
Trend FinderThe "𝙏𝙍𝙀𝙉𝘿 𝙁𝙄𝙉𝘿𝙀𝙍" indicator is a powerful tool designed to detect trends and identify potential reversal points in asset prices. It operates as both a trend-following and mean reversion indicator, offering insights into market movements.
Trend Identification:
Trend Detection:
This indicator primarily identifies trends in asset prices.
When the "𝙏𝙍𝙀𝙉𝘿 𝙁𝙄𝙉𝘿𝙀𝙍" value is above the middle line, it typically indicates an upward trend in the asset's price.
Color Coding: During an upward trend, the bars are colored green, signaling strength in the upward movement. Conversely, during a downtrend, the bars turn red, indicating a potential downward movement in the asset's price.
Calculation Process:
Moving Averages: The calculation involves using multiple Simple Moving Averages (SMAs) based on the open and close prices of the asset.
Incremental SMA Lengths: These SMAs are calculated with increasing lengths, creating a series of comparisons between closing and opening SMAs. If the closing SMA exceeds the opening SMA, a value of 1 is assigned; otherwise, it's assigned as 0.
Aggregation: All these SMA values are compiled into an array and processed to derive an average, emphasizing the trend direction and strength.
Application:
Trend Strength: The indicator's value reflects the overall strength and direction of the trend. Higher values suggest an end or reversing of trend, while lower values what crosses over or under Midline may indicate a trend changing and indicate incrising of trend strength.
Reversal Indication: Besides identifying trends, it can also serve as a mean reversion indicator, potentially pinpointing potential tops and bottoms in the market.
Midline: Additional in settings can be changed a position of midline to up or down to your personal preference.
The "𝙏𝙍𝙀𝙉𝘿 𝙁𝙄𝙉𝘿𝙀𝙍" indicator amalgamates moving averages and trend analysis, offering a comprehensive view of market trends and potential reversal points. Its adaptability through parameter adjustments allows for fine-tuning to suit various market conditions.
Monday range by MatboomThe "Monday Range" Pine Script indicator calculates and displays the lowest and highest prices during a specified trading session, focusing on Mondays. Users can configure the trading session parameters, such as start and end times and time zone. The indicator visually highlights the session range on the chart by plotting the session low and high prices and applying a background color within the session period. The customizable days of the week checkboxes allow users to choose which days the indicator should consider for analysis.
Session Configuration:
session = input.session("0000-0000", title="Trading Session")
timeZone = input.string("UTC", title="Time Zone")
monSession = input.bool(true, title="Mon ", group="Trading Session", inline="d1")
tueSession = input.bool(true, title="Tue ", group="Trading Session", inline="d1")
Users can configure the trading session start and end times and the time zone.
Checkboxes for Monday (monSession) and Tuesday (tueSession) sessions are provided.
SessionLow and SessionHigh Functions:
SessionLow(sessionTime, sessionTimeZone=syminfo.timezone) => ...
SessionHigh(sessionTime, sessionTimeZone=syminfo.timezone) => ...
Custom functions to calculate the lowest (SessionLow) and highest (SessionHigh) prices during a specified trading session.
InSession Function:
InSession(sessionTimes, sessionTimeZone=syminfo.timezone) => ...
Determines if the current bar is inside the specified trading session.
Days of Week String and Session String:
sessionDays = ""
if monSession
sessionDays += "2"
if tueSession
sessionDays += "3"
tradingSession = session + ":" + sessionDays
Constructs a string representing the selected days of the week for the session.
Fetch Session Low and High:
sessLow = SessionLow(tradingSession, timeZone)
sessHigh = SessionHigh(tradingSession, timeZone)
Calls the custom functions to obtain the session low and high prices.
Plot Session Low and High and Background Color for Session
plot(sessLow, color=color.red, title="Session Low")
plot(sessHigh, color=color.red, title="Session Low")
bgcolor(InSession(tradingSession, timeZone) ? color.new(color.aqua, 90) : na)
[PUZ] MACD MTB System MTFMACD Moving Average convergence/divergence
Here are a little articel how the MACD is calculated an how you can use it.
en.wikipedia.org
This Indicator have many differet spezifications than a normal MACD.
You can use different timeframes.
The histogramm workes a litle bit smother
The signalline have two different colors:
He is blue when the macd line is greater than the signalline and the signalline is red when the macd line is smaller than the signalline.
The macd line habe three different colores:
Color green when the macd line is greater than the macd line one period back and the macd line is under the signal line.
Color yellow when the macd line is smaller than the macd line one period back and the macd line is greater than the signalline.
Color gray when the conditions fot color yellow an green are not true
Three different types for Signals
The L1 signal show you a triange when the macd ist crossover or crossunder the signal line, you can use the L1 Threshold to filter the signals.
For example the L1 long threshold is equal to 0 than the Indicator show you only L1 long singnals when the crossover from the macd line to the signal line is smaller than 0.
This works like the same for all Signals (L2 signals / L3 signals)
The L2 signals show you a bigger triangle when the color from the macd line is eqal to yellow or green, you can use the L2 Threshold to filter the signals.
The L3 signals show you a green or red diamond when the histogramm is rising or falling, you can use the L3 Threshold to filter the signals.
Multibit Signal Compatible Indicator with DJMAD Multibit System
This Pine Script indicator is designed to function as part of the Multibit Signal System developed by DJMAD. It encompasses a comprehensive implementation of a MACD-based trading strategy with multiple threshold levels, color-coded signals, alert functionalities, and seamless compatibility with the Multibit Signal System for more sophisticated signal analysis and trading strategies.
Signal Daisychain:
Provides a configurable interface (Signal_Channel_Line1 to Signal_Channel_Line6) that allows users to select channel lines for Long and Short conditions, specifically designed for compatibility with the Multibit Signal System.
Multibit Signal Integration:
Utilizes functions from DJMAD's Signal_transcoder_library to encode and decode signals, ensuring compatibility with the Multibit Signal System for advanced signal processing and strategy development.
For more Informations about the Multibit System please look at djmad Tradingview Profile.
ICT Times [joshu]This TradingView indicator provides a comprehensive view of ICT killzones, Silver Bullet times, and ICT Macros, enhancing your trading experience.
In those time windows price either seeks liquidity or imbalances and you often find the most energetic price moves and turning points.
Features:
Automatic Adaptation: The ICT killzones intelligently adapt to the specific chart you are using. For Forex charts, it follows the ICT Forex times:
Asia: 2000-0000
London: 0200-0500
New York: 0700-1000
London Close: 1000-1200
For other charts, it uses the following session times:
Asia: 2000-0000
London: 0200-0500
New York AM: 0830-1100
New York PM: 1330-1600
Silver Bullet Times:
0300-0400
1000-1100
1400-1500
How to Use:
Simply apply the indicator to your chart, and the session boxes and Silver Bullet times will be plotted automatically.
Blockunity Stablecoin Liquidity (BSL)Monitor the liquidity of the crypto market by tracking the capitalizations of the major Stablecoins.
Stablecoin Liquidity (BSL) is an ideal tool for visualizing data on major Stablecoins. The number of Stablecoins in circulation is one of the best indices of liquidity within the crypto market. It’s an important metric to keep an eye on, as an increase in the number of Stablecoins in circulation offers a great opportunity to see cryptoasset prices rise. The tool’s multiple on-board display modes enable analysis of its data in the best possible conditions.
The Idea
The goal is to provide the community with the ideal tool to visualize the liquidity of the crypto market, via the state of the market capitalizations of the major Stablecoins.
How to Use
The tool is very easy to use and interpret. First of all, let's distinguish two main elements:
The chart as 3 distinct display modes to let you observe data in the best possible conditions.
There is a panel that summarizes the market capitalizations of the main Stablecoins.
Display Mode: Cumulative
In Cumulative mode (default), the different capitalizations are displayed one on top of the other with colored bands.
You can see that when the number of Stablecoins in circulation increases, crypto asset prices enter an uptrend. And if the liquidity of Stablecoins dries up, the trend will become bearish.
Display Mode: Aggregated
Aggregated mode displays a single line, which is the sum of the different capitalizations, varying between green and red depending on the state of this data according to its moving average declared in the 'Aggregated MA Lengh' field.
You can thus easily see trend changes and therefore opportunities to enter or exit the crypto market.
Display Mode: Independent
The Independent mode also displays the different capitalizations, but detached from each other with labels.
This display mode is particularly interesting for studying transfers from one Stablecoin to another, as can be seen below.
Other Settings
You can choose whether or not to include each of the Stablecoins data, and configure their display color. Note that in 'Cumulative' display mode, the data is taken into account even if the box is unchecked.
How it Works
The tool works in a simple way: We take the market capitalization data of the Stablecoins that interest us, then we process them according to the different display modes.
Let us know if you would like other ways of visualizing this data!
Multi-TrendMulti-Trend is an indicator that simplifies the task of tracking market trends across up to 10 custom timeframes. With the flexibility to select your preferred timeframes, with current or any specific data in past, this indicator offers a clear visual representation of the market's direction.
For each chosen timeframe and history, Multi-Trend provides a straightforward arrow-based signal system: an upward arrow signifies a rising market, a downward arrow indicates a falling market, and a right arrow denotes a market at equilibrium. These default symbols can be effortlessly personalized to your choice of symbols or text, allowing you to tailor the indicator to your specific needs.
The trend direction is calculated using a reliable methodology based on the percentage change in the close price for the selected timeframe.
Ultimate Seasonality Indicator [SS]Hello everyone,
This is my seasonality indicator. I have been working on it for like 2 months, so hope you like it!
What it does?
The Ultimate Seasonality indicator is designed to provide you, the trader, an in-depth look at seasonality. The indicator gives you the ability to do the following functions:
View the most bearish and bullish months over a user defined amount of years back.
View the average daily change for each respective months over a user defined amount of years back.
See the most closely correlated month to the current month to give potential insights of likely trend.
Plot out areas of High and Low Seasonality.
Create a manual seasonal forecast model by selecting the desired month you would like to model the current month data after.
Have the indicator develop an autoregressive seasonal model based on seasonally lagged variables, using principles of machine learning.
I will go over these functions 1 by 1, its a whopper of an indicator so I will try to be as clear and concise as possible.
Viewing Bullish vs Bearish Months, Average Daily Change & Correlation to Current Month
The indicator will break down the average change, as well as the number of bullish and bearish days by month. See the image below as an example:
In the table to the right, you will see a breakdown of each month over the past 3 years.
In the first column, you will see the average daily change. A negative value, means it was a particularly bearish month, a positive value means it was a particularly bullish month.
The next column over shows the correlation to the current dataset. How this works is the indicator takes the size of the monthly data for each month, and compares it to the last X number of days up until the last trading day. It will then perform a correlation assessment to see how closely similar the past X number of trading days are to the various monthly data.
The last 2 columns break down the number of Bullish and Bearish days, so you can see how many red vs green candles happened in each respective month over your set timeframe. In the example above, it is over the pats 3 years.
Plot areas of High and Low Seasonality
In the chart above, you will see red and green highlighted zones.
Red represents areas of HIGH Seasonality .
Green represents areas of LOW Seasonality .
For this function, seasonality is measured by the autocorrelation function at various lags (12 lags). When there is an average autocorrelation of greater than 0.85 across all seasonal lags, it is considered likely the result of high seasonality/trend.
If the lag is less than or equal to 0.05, it is indicative of very low seasonality, as there is no predominate trend that can be found by the autocorrelation functions over the seasonally lagged variables.
Create Manual Seasonal Forecasts
If you find a month that has a particularly high correlation to the current month, you can have the indicator create a seasonal model from this month, and fit it onto the current dataset (past X days of trading).
If we look at the example below:
We can see that the most similar month to the current data is September. So, we can ask the indicator to create a seasonal forecast model from only September data and fit it to our current month. This is the result:
You will see, using September data, our most likely close price for this month is 450 and our model is y= 1.4305x + -171.67.
We can accept the 450 value but we can use the equation to model the data ourselves manually.
For example, say we have a target price on the month of 455 based on our own analysis. We can calculate the likely close price, should this target be reached, by substituting this target for x. So y = 1.4305x + -171.67 becomes
y = 1.4305(455) +- 171.67
y = 479.20
So the likely close price would be 479.20. No likely, and thus its not likely we are to see 455.
HOWEVER, in this current example, the model is far too statistically insignificant to be used. We can see the correlation is only 0.21 and the R squared is 0.04. Not a model you would want to use!
You want to see a correlation of at least 0.5 or higher and an R2 of 0.5 or higher.
We can improve the accuracy by reducing the number of years we look back. This is what happens when we reduce the lookback years to 1:
You can see reducing to 1 year gives December as the most similar month. However, our R2 value is still far too low to really rely on this data whole-heartedly. But it is a good reference point.
Automatic Autoregressive Model
So this is my first attempt at using some machine learning principles to guide statistical analysis.
In the main chart above, you will see the indicator making an autoregressive model of seasonally lagged variables. It does this in steps. The steps include:
1) Differencing the data over 12, seasonally lagged variables.
2) Determining stationarity using DF test.
3) Determining the highest, autocorrelated lags that fall within a significant stationary result.
4) Creating a quadratic model of the two identified lags that best represents a stationary model with a high autocorrelation.
What are seasonally lagged variables?
Seasonally lagged variables are variables that represent trading months. So a lag of 25 would be 1 month, 50, 2 months, 75, 3 months, etc.
When it displays this model, it will show us what the results of the t-statistic are for the DF test, whether the data is stationary, and the result of the autocorrelation assessment.
It will then display the model detail in the tip table, which includes the equation, the current lags being used, the R2 and the correlation value.
Concluding Remarks
That's the indicator in a nutshell!
Hope you like it!
One final thing, you MUST have your chart set to daily, otherwise you will get a runtime error. This can ONLY be used on the daily timeframe!
Feel free to leave your questions, comments and suggestions below.
Note:
My "ultimate" indicators are made to give the functionality of multiple indicators in one. If you like this one, you may like some of my others:
Ultimate P&L Indicator
Ultimate Customizable EMA/SMA
Thanks for checking out the indicator!
New York Sessions Morning, Lunch and afternoon. AMKDescription
The script is designed to highlight the New York Stock Exchange's trading day, broken down into three specific sub-sessions: morning, lunchtime, and afternoon. Each sub-session is color-coded to provide an immediate visual cue about which portion of the trading day is currently active. Additionally, this script allows the user to adjust the time zone offset, making it adaptable for traders in different time zones around the world.
Originality
While there are scripts that highlight the entire trading day or specific market hours, this script adds granularity by breaking down the New York trading session into its typical behavioral parts: the morning rush, the lunchtime lull, and the afternoon action. The addition of an adjustable time zone offset is a unique feature that makes the tool more versatile and accommodating to a global user base.
Usefulness
The ability to visualize these different trading sessions can be valuable for various types of traders:
Day Traders: The script helps to immediately identify which session they are in, aiding in their trading strategy as market behavior can vary between these periods.
Swing Traders: They may use these sub-sessions to time their entries or exits, especially if they're based in different time zones.
Market Analysts: The color-coded sessions provide a quick way to analyze the historical performance and volatility of an asset during different trading periods.
Global Traders: The time zone adjustment feature makes it easy for traders outside of the Eastern Time Zone to customize the script according to their local time, increasing its utility across different markets.
Educational Purpose: For new traders, this could serve as an educational tool to understand the typical behavior of the stock market at different times of the day.
So, whether you're timing an intraday entry or looking for patterns tied to specific market sessions, this script offers a straightforward, visual way to keep track of where you are in the trading day.
Stablecoin DominanceStablecoin Dominance Indicator
The Stablecoin Dominance Indicator is a powerful tool designed to analyze the relative dominance of stablecoins within the cryptocurrency market. It utilizes a combination of regression analysis and standard deviation to provide valuable insights into market sentiment and potential turning points. This indicator is particularly useful for traders and investors looking to make informed decisions in the dynamic world of cryptocurrencies.
How to Read the Indicator:
The Stablecoin Dominance Indicator comprises three key lines, each serving a specific purpose:
Middle Line (Regression Line):
The middle line represents the Regression Line of stablecoin dominance, acting as a baseline showing the average or mean dominance of stablecoins in the market.
When the stablecoin dominance hovers around this middle line, it suggests a relatively stable market sentiment with no extreme overbought or oversold conditions.
Upper Line (2 Standard Deviations Above Mean):
The upper line, positioned 2 standard deviations above the Regression Line, indicates a significant deviation from the mean.
When stablecoin dominance approaches or surpasses this upper line, it may imply that the cryptocurrency market is experiencing oversold conditions, potentially signaling a market bottom. This is an opportune time for traders to consider increasing their exposure to cryptocurrencies.
Lower Line (2 Standard Deviations Below Mean):
The lower line, positioned 2 standard deviations below the Regression Line, shows a significant deviation in the opposite direction, indicating overbought conditions.
When stablecoin dominance approaches or falls below this lower line, it suggests overbought conditions in the market, possibly indicating a market top. Traders may consider reducing their cryptocurrency holdings or taking profits during this phase.
It's important to note that the Stablecoin Dominance Indicator should be used in conjunction with other analysis tools and strategies.
By understanding and applying the insights provided by this indicator, traders and investors can make more informed decisions in the ever-changing cryptocurrency landscape, potentially enhancing their trading strategies and risk management practices.
(Log Regression code made by @rumpypumpydumpy)
