Statistical Trend Analysis (Scatterplot) [BigBeluga]Statistical Trend Analysis (Scatterplot) provides a unique perspective on market dynamics by combining the statistical concept of z-scores with scatterplot visualization to assess price momentum and potential trend shifts.
🧿 What is Z-Score?
Definition: A z-score is a statistical measure that quantifies how far a data point is from the mean, expressed in terms of standard deviations.
In this Indicator:
A high positive z-score indicates the price is significantly above the average.
A low negative z-score indicates the price is significantly below the average.
The indicator also calculates the rate of change of the z-score, helping identify momentum shifts in the market.
🧿 Key Features:
Scatterplot Visualization:
Displays data points of z-score and its change across four quadrants.
Quadrants help interpret market conditions:
Upper Right (Strong Bullish Momentum): Most data points here signal an ongoing uptrend.
Upper Left (Weakening Momentum): Data points here may indicate a potential market shift or ranging market.
Lower Left (Strong Bearish Momentum): Indicates a dominant downtrend.
Lower Right (Trend Shift to Bullish/Ranging): Suggests weakening bearish momentum or an emerging uptrend.
Color-Coded Candles:
Candles are dynamically colored based on the z-score, providing a visual cue about the price's deviation from the mean.
Z-Score Time Series:
A line plot of z-scores over time shows price deviation trends.
A gray histogram displays the rate of change of the z-score, highlighting momentum shifts.
🧿 Usage:
Use the scatterplot and quadrant gauges to understand the current market momentum and potential shifts.
Monitor the z-score line plot to identify overbought/oversold conditions.
Utilize the gray histogram to detect momentum reversals and trend strength.
This tool is ideal for traders who rely on statistical insights to confirm trends, detect potential reversals, and assess market momentum visually and quantitatively.
Statistics
MW:TA DaysDays of the week, simple and effective - checks the day, draws the line. You can adjust color, opacity and width of the vertical line. Have a great day and grater profit!
Multi Period ATR __ahamd__razavi__
### Code Breakdown
1. **Indicator Declaration**:
```pinescript
//@version=6
indicator(title="Multi-Period ATR", shorttitle="ATR Multi", overlay=false, timeframe="", timeframe_gaps=true)
```
- `//@version=6`: This specifies that the script uses version 6 of Pine Script.
- `indicator(...)`: This function defines the properties of the indicator, including its title, short title, whether it overlays on the price chart (`overlay=false` means it will be in a separate pane), and settings for timeframes.
2. **Input for Smoothing Method**:
```pinescript
smoothing = input.string(title="Smoothing", defval="RMA", options= )
```
- This line creates an input option for users to select the smoothing method for the ATR calculation. The default is set to "RMA" (Relative Moving Average), but users can choose from RMA, SMA (Simple Moving Average), EMA (Exponential Moving Average), or WMA (Weighted Moving Average).
3. **Function to Calculate Moving Average**:
```pinescript
ma_function(source, length) =>
switch smoothing
"RMA" => ta.rma(source, length)
"SMA" => ta.sma(source, length)
"EMA" => ta.ema(source, length)
=> ta.wma(source, length)
```
- This function takes two parameters: `source` (the data series to smooth) and `length` (the period for the moving average).
- It uses a `switch` statement to determine which smoothing method to apply based on the user's selection.
4. **Calculating ATR for Multiple Periods**:
```pinescript
atr_14 = ma_function(ta.tr(true), 14)
atr_55 = ma_function(ta.tr(true), 55)
atr_100 = ma_function(ta.tr(true), 100)
atr_200 = ma_function(ta.tr(true), 200)
atr_500 = ma_function(ta.tr(true), 500)
atr_1000 = ma_function(ta.tr(true), 1000)
atr_2000 = ma_function(ta.tr(true), 2000)
atr_3000 = ma_function(ta.tr(true), 3000)
atr_4999 = ma_function(ta.tr(true), 4999)
```
- Here, the script calculates the ATR for various periods (14, 55, 100, etc.) using the `ma_function`.
- `ta.tr(true)` computes the True Range, which is used as input for calculating ATR.
5. **Plotting ATR Lines**:
```pinescript
plot(atr_14, title="ATR (14)", color=color.red)
plot(atr_55, title="ATR (55)", color=color.orange)
plot(atr_100, title="ATR (100)", color=color.yellow)
plot(atr_200, title="ATR (200)", color=color.green)
plot(atr_500, title="ATR (500)", color=color.blue)
plot(atr_1000, title="ATR (1000)", color=color.purple)
plot(atr_2000, title="ATR (2000)", color=color.gray)
plot(atr_3000, title="ATR (3000)", color=#363a45)
plot(atr_4999, title="ATR (4999)", color=color.rgb(55, 81, 154))
```
- Each `plot` function call draws a line on the chart for each calculated ATR value. Each line has a specific color and a title indicating its period.
### Summary
This script provides a comprehensive view of market volatility by plotting multiple ATR lines over different periods on TradingView. Traders can use this information to assess market conditions and make informed trading decisions based on volatility trends. The ability to select different smoothing methods enhances flexibility and allows traders to customize their analysis according to their preferences.
Rendite über Zeiträume (Bar-basiert)Zeigt die Rendite (Performance) für den letzten Monat, letztes Jahr und die letzten 5 Jahre in einer Tabelle rechts unten im Chart an. Zu empfehlen es nur im Tages-, Wochen- und Monatschart zu verwenden.
LIBOR-OIS SpreadDer LIBOR-OIS-Spread ist ein wichtiger Indikator für das Kreditrisiko im Bankensektor.
Der LIBOR-OIS-Spread zeigt die Differenz zwischen dem LIBOR und dem OIS. Ein hoher Spread signalisiert, dass Banken ein erhöhtes Risiko bei der Kreditvergabe untereinander sehen. Dies geschieht typischerweise in Zeiten wirtschaftlicher Unsicherheit oder finanzieller Instabilität.
Was sagt der Spread aus?
* Niedriger Spread (normalerweise < 10 Basispunkte): Normalisierte Marktbedingungen; Banken vertrauen einander.
* Hoher Spread (deutlich > 10 Basispunkte): Anzeichen von Stress im Finanzsystem, möglicherweise durch Liquiditätsprobleme oder gestiegene Ausfallrisiken.
Beispiele: Während der Finanzkrise 2008 stieg der LIBOR-OIS-Spread auf über 350 Basispunkte, was auf extreme Stresssituationen hinwies.
RegressionnnThe Linear Regression Channel Indicator is a versatile tool designed for TradingView to help traders visualize price trends and potential reversal points. By calculating and plotting linear regression channels, bands, and future projections, this indicator provides comprehensive insights into market dynamics. It can highlight overbought and oversold conditions, identify trend direction, and offer visual cues for future price movements.
Velora RSI & MFI - litethis script can be used to get the perfect buy and stop candles
once the MFI goes lower than 20 and the rsi below 30
you should be looking for a green candle once you got it , you can jump on buy
this bot is by velora
hamid alqwaysim & khaled nedal
Velora RSI & MFI - litethis script can be used to get the perfect buy and stop candles
once the MFI goes lower than 20 and the rsi below 30
you should be looking for a green candle once you got it , you can jump on buy
this bot is by velora
hamid alqwaysim & khaled nedal
Velora RSI & MFI - litethis script can be used to get the perfect buy and stop candles
once the MFI goes lower than 20 and the rsi below 30
you should be looking for a green candle once you got it , you can jump on buy
this bot is by velora
hamid alqwaysim & khaled nedal
ROE BandROE Band shows the return on net profit from shareholders' equity and the formula for decomposition
ROE = ROA x CSL x CEL
ROE Band consists of 5 parts:
1. ROE (TTM) is the 12-month ROE calculation in "green"
2. Return on Equity (ROE) is the current quarterly net profit / the average of the beginning and ending periods of shareholders' equity in "yellow"
3. Return on Assets (ROA) is the current quarterly NOPAT (net profit before tax) / the average of the beginning and ending periods of total assets in "blue"
4. Capital structure leverage (CSL) is a financial measure that compares a company's debt to its total capital. It is calculated by taking the average of the beginning and ending periods of total assets / the average of the beginning and ending periods of shareholders' equity. The higher the CSL, the more deb, in. "red"
5. Common earnings leverage (CEL) is the proportion of net profit and NOPAT (net profit before tax), where a lower CEL means more tax, in "orange"
The "😱" emoji represents the value if it increases by more than or decreases by less than 20%, e.g.
- ROE(TTM), ROE, ROA, CEL is decreasing
- CSL is increasing
The "🔥" emoji represents the value if it increases by more than or decreases, e.g.
- ROE(TTM), ROE, ROA, CEL is increasing
- CSL is decreasing
Ratio by absThe script helps to measure the location of two trading instruments.
The option of selecting the ticker as the source, with which the measurement will be carried out, is provided.
The measurement is carried out by dividing the cost of one trading instrument by the cost of the second trading instrument.
At the same time, a graph with the dynamics of changes in these ratios is displayed in another window. You can also set up Fibonacci levels for additional analysis of the dynamics of the ratios.
[ADDYad] Google Search Trends - Bitcoin (2012-2024)Bitcoin Google search trend data from 2012 to 2024 as an indicator.
The data was retrieved from Google trends. (Cited in code as I can't add links here)
Meant to be plotted in monthly chart as the data downloaded had only monthly values.
Other time frames are just linear interpolation from monthly.
ATH DrawdownThis Pine Script indicator, titled "ATH Drawdown," is designed to help traders and analysts visualize various drawdown levels from the all-time high (ATH) of a security over the past 365 days. This indicator plots several key drawdown levels on the chart and dynamically updates their color and labels to reflect market conditions.
Key Features:
Daily High Calculation:
Fetches the daily high prices for the security using the request.security function.
Highest High Calculation:
Calculates the highest high over the last 365 days using daily data. This represents the all-time high (ATH) for the specified period.
Drawdown Levels:
Computes various drawdown levels from the ATH:
2% Drawdown
5% Drawdown
10% Drawdown
15% Drawdown
25% Drawdown
45% Drawdown
50% Drawdown
Dynamic Line Coloring:
The color of the 2% drawdown line changes dynamically based on the current closing price:
Red if the close is below the 2% drawdown level.
Green if the close is above the 2% drawdown level.
Plotting Drawdown Levels:
Plots each drawdown level on the chart with specific colors and line widths for easy visual distinction:
2% Drawdown: Green or Red, depending on the closing price.
5% Drawdown: Orange.
10% Drawdown: Blue.
15% Drawdown: Maroon.
25% Drawdown: Purple.
45% Drawdown: Yellow.
50% Drawdown: Black.
Labels for Drawdown Levels:
Adds labels at the end of each drawdown line to indicate the percentage drawdown:
Labels display "2%", "5%", "10%", "15%", "25%", "45%", and "50%" respectively.
The labels are positioned dynamically at the latest bar index to ensure they are always visible.
Example Use Cases:
Risk Management: Quickly identify significant drawdown levels to assess the risk of current positions.
Support Levels: Use drawdown levels as potential support levels where price might find buying interest.
Performance Tracking: Monitor how far the price has retraced from its all-time high to understand market sentiment and performance.
This script offers traders and analysts an efficient way to visualize and track important drawdown levels from the ATH, helping in better risk management and decision-making. The dynamic color and label features enhance the readability and usability of the indicator.
Multiple Values TableThis Pine Script indicator, named "Multiple Values Table," provides a comprehensive view of various technical indicators in a tabular format directly on your trading chart. It allows traders to quickly assess multiple metrics without switching between different charts or panels.
Key Features:
Table Position and Size:
Users can choose the position of the table on the chart (e.g., top left, top right).
The size of the table can be adjusted (e.g., tiny, small, normal, large).
Moving Averages:
Calculates the 5-day Exponential Moving Average (5DEMA) using daily data.
Calculates the 5-week and 20-week EMAs (5WEMA and 20WEMA) using weekly data.
Indicates whether the current price is above or below these moving averages in percentage terms.
Drawdown and Williams VIX Fix:
Computes the drawdown from the 365-day high to the current close.
Calculates the Williams VIX Fix (WVF), which measures the volatility of the asset.
Shows both the current WVF and a 2% drawdown level.
Relative Strength Index (RSI):
Displays the current RSI and compares it to the RSI from 14 days ago.
Indicates whether the RSI is increasing, decreasing, or flat.
Stochastic RSI:
Computes the Stochastic RSI and compares it to the value from 14 days ago.
Indicates whether the Stochastic RSI is increasing, decreasing, or flat.
Normalized MACD (NMACD):
Calculates the Normalized MACD values.
Indicates whether the MACD is increasing, decreasing, or flat.
Awesome Oscillator (AO):
Calculates the AO on a daily timeframe.
Indicates whether the AO is increasing, decreasing, or flat.
Volume Analysis:
Displays the average volume over the last 22 days.
Shows the current day's volume as a percentage of the average volume.
Percentile Calculations:
Calculates the current percentile rank of the WVF and ATH over specified periods.
Indicates the percentile rank of the current volume percentage over the past period.
Table Display:
All these values are presented in a neatly formatted table.
The table updates dynamically with the latest data.
Example Use Cases:
Comprehensive Market Analysis: Quickly assess multiple indicators at a glance.
Trend and Momentum Analysis: Identify trends and momentum changes based on various moving averages and oscillators.
Volatility and Drawdown Monitoring: Track volatility and drawdown levels to manage risk effectively.
This script offers a powerful tool for traders who want to have a holistic view of various technical indicators in one place. It provides flexibility in customization and a user-friendly interface to enhance your trading experience.
RSI Trend [MacroGlide]The RSI Trend indicator is a versatile and intuitive tool designed for traders who want to enhance their market analysis with visual clarity. By combining Stochastic RSI with moving averages, this indicator offers a dynamic view of market momentum and trends. Whether you're a beginner or an experienced trader, this tool simplifies identifying key market conditions and trading opportunities.
Key Features:
• Stochastic RSI-Based Calculations: Incorporates Stochastic RSI to provide a nuanced view of overbought and oversold conditions, enhancing standard RSI analysis.
• Dynamic Moving Averages: Includes two customizable moving averages (MA1 and MA2) based on smoothed Stochastic RSI, offering flexibility to align with your trading strategy.
• Candle Color Coding: Automatically colors candles on the chart:
• Blue: When the faster moving average (MA2) is above the slower one (MA1), signaling bullish momentum.
• Orange: When the faster moving average is below the slower one, indicating bearish momentum.
• Integrated Scaling: The indicator dynamically adjusts with the chart's scale, ensuring seamless visualization regardless of zoom level.
How to Use:
• Add the Indicator: Apply the indicator to your chart from the TradingView library.
• Interpret Candle Colors: Use the color-coded candles to quickly identify bullish (blue) and bearish (orange) phases.
• Customize to Suit Your Needs: Adjust the lengths of the moving averages and the Stochastic RSI parameters to better fit your trading style and timeframe.
• Combine with Other Tools: Pair this indicator with trendlines, volume analysis, or support and resistance levels for a comprehensive trading approach.
Methodology:
The indicator utilizes Stochastic RSI, a derivative of the standard RSI, to measure momentum more precisely. By applying smoothing and calculating moving averages, the tool identifies shifts in market trends. These trends are visually represented through candle color changes, making it easy to spot transitions between bullish and bearish phases at a glance.
Originality and Usefulness:
What sets this indicator apart is its seamless integration of Stochastic RSI and moving averages with real-time candle coloring. The result is a visually intuitive tool that adapts dynamically to chart scaling, offering clarity without clutter.
Charts:
When applied, the indicator plots two moving averages alongside color-coded candles. The combination of visual cues and trend logic helps traders easily interpret market momentum and make informed decisions.
Enjoy the game!
Z-Score Indicator by RafIf the z-score goes above 2, this may indicate overbought and If the z-score goes below -2, this may indicate oversold
Smooth RSI [MarktQuant]This indicator combines elements of the Relative Strength Index (RSI) and Rate of Change (RoC) to provide a smoother and potentially more insightful view of market momentum and price movement. The Smooth RSI calculates RSI values across four price points (high, open, low, close) to average them, offering a less volatile RSI signal. Additionally, it incorporates a Rate of Change for trend confirmation, enhancing the decision-making process for trade entries and exits.
Features:
Multi-RSI Calculation: RSI is computed for high, open, low, and close prices, then averaged to reduce noise.
Trend Confirmation with RoC: Uses the Rate of Change to validate the RSI signals, coloring bars based on the trend direction.
Visual Signals:
Bar colors change based on combined RSI and RoC signals.
Green for bullish signals (RSI above 50 and positive RoC).
Red for bearish signals (RSI below 50 and negative RoC).
Horizontal lines at 30, 50, and 70 to denote overbought, neutral, and oversold conditions.
Customizable Display:
Option to show/hide RSI plot or RoC plot for cleaner charts.
Candle plot overlay option to visualize current price action alongside the indicator.
Inputs:
RSI Length: Default 28. Adjusts the lookback period for RSI calculation.
RoC Length: Default 28. Sets the period for the Rate of Change calculation.
Plot Settings:
Show RSI - Toggle RSI plot visibility.
Show RoC - Toggle RoC plot visibility.
Usage:
Long signals are indicated when the average RSI is above 50 and the RoC is positive.
Short signals are suggested when the average RSI falls below 50 with a negative RoC.
The color coding helps visually confirm trends at a glance.
Notes:
This indicator is best used in conjunction with other analysis methods to confirm signals.
Adjust the length parameters based on your trading timeframe for optimal results.
Disclaimer:
This indicator does not guarantee trading success; use it as part of a comprehensive trading strategy. Always conduct your own analysis before making trading decisions.
RSI CAPITAL CRYPTO//@version=5
indicator("RSI with Arrows", overlay=true)
// Configuração do RSI
rsiLength = 14
rsiSource = close
rsiValue = ta.rsi(rsiSource, rsiLength)
// Condições para as setas
arrowDown = rsiValue > 85
arrowUp = rsiValue < 20
// Plotando setas no gráfico
plotshape(arrowDown, style=shape.labeldown, location=location.abovebar, color=color.red, size=size.small, text="↓")
plotshape(arrowUp, style=shape.labelup, location=location.belowbar, color=color.green, size=size.small, text="↑")
// Plotando o RSI
hline(80, "Overbought", color=color.red)
hline(30, "Oversold", color=color.green)
plot(rsiValue, "RSI", color=color.blue)
Market Correlation AnalysisMarket Correlation Analysis is an indicator that measures the correlation of any two instruments.
To express price changes in a way that is comparable, this indicator uses a percentage of the ATR as a unit.
User Inputs:
Other Symbol - the symbol which we want to compare with the symbol of the main chart.
ATR for Price Movement Normalisation - I recommend high values to get the ATR more stable across time - if the ATR drastically changes, the indicator will register that as a price movement, because the unit in which price movements are measured itself changed by a lot. However, with higher values the ATR is stable and, in my opinion, more reliable than simply a percentage change of the current price.
Correlation Length - this is the number of bars for which the correlation coefficient will be calculated.
About The Indicator:
Market Correlation Analysis expresses the price changes of both instruments in question on the same histogram.
By default, the price changes that represent the instrument of the main chart are expressed with thinner bars of stronger colour, while the price changes that represent the other instrument are expressed with much thicker bars, which are of more pale colour.
The correlation coefficient is not expressed on the histogram, as it has a different scale. Therefore, it is only showed as a number.
I hope this indicator can make it easier to understand just how much two instruments have been similar to one another over a certain period of time. The possibility to see the correlation for any given time frame can give information that very specific to any trading style.
Enhanced Price Z-Score OscillatorThe Enhanced Price Z-Score Oscillator by tkarolak is a powerful tool that transforms raw price data into an easy-to-understand statistical visualization using Z-Score-derived candlesticks. Simply put, it shows how far prices stray from their average in terms of standard deviations (Z-Scores), helping traders identify when prices are unusually high (overbought) or unusually low (oversold).
The indicator’s default feature displays Z-Score Candlesticks, where each candle reflects the statistical “distance” of the open, high, low, and close prices from their average. This creates a visual map of market extremes and potential reversal points. For added flexibility, you can also switch to Z-Score line plots based on either Close prices or OHLC4 averages.
With clear threshold lines (±2σ and ±3σ) marking moderate and extreme price deviations, and color-coded zones to highlight overbought and oversold areas, the oscillator simplifies complex statistical concepts into actionable trading insights.
Temporary Help Services Jobs - Trend Allocation StrategyThis strategy is designed to capitalize on the economic trends represented by the Temporary Help Services (TEMPHELPS) index, which is published by the Federal Reserve Economic Data (FRED). Temporary Help Services Jobs are often regarded as a leading indicator of labor market conditions, as changes in temporary employment levels frequently precede broader employment trends.
Methodology:
Data Source: The strategy uses the FRED dataset TEMPHELPS for monthly data on temporary help services.
Trend Definition:
Uptrend: When the current month's value is greater than the previous month's value.
Downtrend: When the current month's value is less than the previous month's value.
Entry Condition: A long position is opened when an uptrend is detected, provided no position is currently held.
Exit Condition: The long position is closed when a downtrend is detected.
Scientific Basis:
The TEMPHELPS index serves as a leading economic indicator, as noted in studies analyzing labor market cyclicality (e.g., Katz & Krueger, 1999). Temporary employment is often considered a proxy for broader economic conditions, particularly in predicting recessions or recoveries. Incorporating this index into trading strategies allows for aligning trades with potential macroeconomic shifts, as suggested by research on employment trends and market performance (Autor, 2001; Valetta & Bengali, 2013).
Usage:
This strategy is best suited for long-term investors or macroeconomic trend followers who wish to leverage labor market signals for equity or futures trading. It operates exclusively on end-of-month data, ensuring minimal transaction costs and noise.