[MAD] Custom Session VWAP BandsOverview
This indicator helps visualize the Volume Weighted Average Price (VWAP) and its associated standard deviation bands over specified time periods, providing traders with a clear understanding of price trends, volatility, and potential support/resistance levels.
Inputs
Deviation
StDev mult 1: Multiplier for the first standard deviation band (Default: 1.0)
StDev mult 2: Multiplier for the second standard deviation band (Default: 2.0)
StDev mult 3: Multiplier for the third standard deviation band (Default: 3.0)
StDev mult 4: Multiplier for the fourth standard deviation band (Default: 4.0)
Line width: Width of the lines for the bands (Default: 2)
Custom Vwap session reset settings
Many different options are considered when a session is going to be reset.
Plot and Fill Options
Enable Fills: Enable/disable filling between bands.
Plot +4: Enable/disable plotting the +4 standard deviation band.
Plot +3: Enable/disable plotting the +3 standard deviation band.
Plot +2: Enable/disable plotting the +2 standard deviation band.
Plot +1: Enable/disable plotting the +1 standard deviation band.
Plot VWAP: Enable/disable plotting the VWAP line.
Plot -1: Enable/disable plotting the -1 standard deviation band.
Plot -2: Enable/disable plotting the -2 standard deviation band.
Plot -3: Enable/disable plotting the -3 standard deviation band.
Plot -4: Enable/disable plotting the -4 standard deviation band.
How to Use the Indicator
Adding the Indicator
Add the indicator to your chart through your trading platform's indicator menu.
Configuring the VWAP Reset
Specify reset intervals based on time, days of the week, or specific dates.
Adjust the time zone if necessary.
Customizing Standard Deviation Bands
Set the multipliers for the standard deviation bands.
Choose line width for better visualization.
Enabling Plots and Fills
Select which bands to display.
Enable or disable fills between the bands.
Practical Application of VWAP Bands
Understanding VWAP
VWAP is a trading benchmark that calculates the average price a security has traded at throughout the day based on volume and price. It is primarily used for intraday trading but can also offer insights during end-of-day reviews.
Using VWAP for Trading
Intraday Trading
Entry and Exit Points: VWAP can help identify optimal buy and sell points. Buy when the price is above VWAP and sell when it's below.
Support and Resistance: VWAP often acts as a dynamic support/resistance level. Prices tend to revert to VWAP, making it a crucial level for intraday traders.
Trend Confirmation
Uptrends and Downtrends: In an uptrend, the price will generally stay above VWAP. Conversely, in a downtrend, it will stay below. Use this to confirm market direction.
Combining with Other Indicators
Moving Averages and Bollinger Bands: Combining VWAP with these indicators can provide a more robust trading signal, confirming trends and potential reversals.
Setting Stop-Loss and Profit Targets
Conservative Stop Orders: Place stop orders at recent lows for pullback trades.
Profit Targets: Use daily highs or Fibonacci extension levels to set profit targets.
Strategies for Using VWAP
Pullback Strategy
Buy during pullbacks to VWAP in an uptrend, and sell during rallies to VWAP in a downtrend.
Breakout Strategy
Look for breakouts above/below VWAP after the market open to capitalize on new trends.
Momentum Trading
Use VWAP to confirm the strength of a trend. Buy when the price is consistently above VWAP and sell when it's consistently below.
Institutional Strategies
Institutional traders use VWAP to execute large orders without causing significant market impact, ensuring trades are made around the average price.
By incorporating these strategies, traders can better understand market dynamics, make informed trading decisions, and manage their risk effectively.
Some setup possibilities
Cerca negli script per "Cycle"
Weighted Global Liquidity Index (WGLI) ROCThe Weighted Global Liquidity Index (WGLI) ROC indicator calculates the rate of change (ROC) of the WGLI, providing valuable insights into the dynamics of global liquidity. The WGLI consolidates major central bank balance sheets and key financial indicators, such as Foreign Exchange Reserves, Interbank Rates, and Interest Rates, converted to USD and expressed in trillions. Specific US accounts like the Treasury General Account (TGA) and Reverse Repurchase Agreements (RRP) are subtracted from the Federal Reserve's balance sheet for a more detailed view of US liquidity.
Using both the WGLI and the WGLI ROC together allows users to track changes in global liquidity and understand policy trajectories and economic conditions. This dual approach offers insights into asset pricing and helps investors make informed decisions about capital allocation.
Feel free to explore and customize the WGLI ROC script to suit your analysis needs!
Weighted Global Liquidity Index (WGLI)The Weighted Global Liquidity Index (WGLI) provides a comprehensive view of major central bank balance sheets from around the world, using data converted to USD for consistency and expressed in trillions. This indicator includes specific US accounts like the Treasury General Account (TGA) and Reverse Repurchase Agreements (RRP), which are subtracted from the Federal Reserve's balance sheet to offer a more detailed perspective on US liquidity.
The WGLI incorporates not only the balance sheets but also additional key financial indicators such as Foreign Exchange Reserves, Interbank Rates, and Interest Rates, weighted by their global liquidity importance. The regions and central banks included are:
Federal Reserve System (FED) - Treasury General Account (TGA) - Reverse Repurchase Agreements (RRP)
European Central Bank (ECB)
People's Bank of China (PBC)
Bank of Japan (BOJ)
Bank of England (BOE)
Bank of Canada (BOC)
Reserve Bank of Australia (RBA)
Reserve Bank of India (RBI)
Swiss National Bank (SNB)
Central Bank of the Russian Federation (CBR)
Central Bank of Brazil (BCB)
Bank of Korea (BOK)
Reserve Bank of New Zealand (RBNZ)
Sweden's Central Bank (Riksbank)
Central Bank of Malaysia (BNM)
This tool is designed for anyone interested in gaining a snapshot of global liquidity to interpret macroeconomic trends. By examining these balance sheets and additional indicators, users can understand policy trajectories and evaluate the global economic climate. It also offers insights into asset pricing and helps investors make informed capital allocation decisions.
Feel free to explore and customize the WGLI script on Trading View to suit your analysis needs!
US M2### Relevance and Functionality of the "US M2" Indicator
#### Relevance
The "US M2" indicator is relevant for several reasons:
1. **Macro-Economic Insight**: The M2 money supply is a critical indicator of the amount of liquidity in the economy. Changes in M2 can significantly impact financial markets, including equities, commodities, and cryptocurrencies.
2. **Trend Identification**: By analyzing the M2 money supply with moving averages, the indicator helps identify long-term and short-term trends, providing insights into economic conditions and potential market movements.
3. **Trading Signals**: The indicator generates bullish and bearish signals based on moving average crossovers and the difference between current M2 values and their moving averages. These signals can be useful for making informed trading decisions.
#### How It Works
1. **Data Input**:
- **US M2 Money Supply**: The indicator fetches the US M2 money supply data using the "USM2" symbol with a monthly resolution.
2. **Moving Averages**:
- **50-Period SMA**: Calculates the Simple Moving Average (SMA) over 50 periods (months) to capture short-term trends.
- **200-Period SMA**: Calculates the SMA over 200 periods to identify long-term trends.
3. **Difference Calculation**:
- **USM2 Difference**: Computes the difference between the current M2 value and its 50-period SMA to highlight deviations from the short-term trend.
4. **Amplification**:
- **Amplified Difference**: Multiplies the difference by 100 to make the deviations more visible on the chart.
5. **Bullish and Bearish Conditions**:
- **Bullish Condition**: When the current M2 value is above the 50-period SMA, indicating a positive short-term trend.
- **Bearish Condition**: When the current M2 value is below the 50-period SMA, indicating a negative short-term trend.
6. **Short-Term SMA of Amplified Difference**:
- **14-Period SMA**: Applies a 14-period SMA to the amplified difference to smooth out short-term fluctuations and provide a clearer trend signal.
7. **Plots and Visualizations**:
- **USM2 Plot**: Plots the US M2 data for reference.
- **200-Period SMA Plot**: Plots the long-term SMA to show the broader trend.
- **Amplified Difference Histogram**: Plots the amplified difference as a histogram with green bars for bullish conditions and red bars for bearish conditions.
- **SMA of Amplified Difference**: Plots the 14-period SMA of the amplified difference to track the trend of deviations.
8. **Moving Average Cross Signals**:
- **Bullish Cross**: Plots an upward triangle when the 50-period SMA crosses above the 200-period SMA, signaling a potential long-term uptrend.
- **Bearish Cross**: Plots a downward triangle when the 50-period SMA crosses below the 200-period SMA, signaling a potential long-term downtrend.
### Summary
The "US M2" indicator provides a comprehensive view of the US M2 money supply, highlighting significant trends and deviations. By combining short-term and long-term moving averages with amplified difference analysis, it offers valuable insights and trading signals based on macroeconomic liquidity conditions.
BTC outperform atrategy### Code Description
This Pine Script™ code implements a simple trading strategy based on the relative prices of Bitcoin (BTC) on a weekly and a three-month basis. The script plots the weekly and three-month closing prices of Bitcoin on the chart and generates trading signals based on the comparison of these prices. The code can also be applied to Ethereum (ETH) with similar effectiveness.
### Explanation
1. **Inputs and Variables**:
- The user selects the trading symbol (default is "BINANCE:BTCUSDT").
- `weeklyPrice` retrieves the closing price of the selected symbol on a weekly interval.
- `monthlyPrice` retrieves the closing price of the selected symbol on a three-month interval.
2. **Plotting Data**:
- The weekly price is plotted in blue.
- The three-month price is plotted in red.
3. **Trading Conditions**:
- A long position is suggested if the weekly price is greater than the three-month price.
- A short position is suggested if the three-month price is greater than the weekly price.
4. **Strategy Execution**:
- If the long condition is met, the strategy enters a long position.
- If the short condition is met, the strategy enters a short position.
This script works equally well for Ethereum (ETH) by changing the symbol input to "BINANCE:ETHUSDT" or any other desired Ethereum trading pair.
MTF WaveTrend [CryptoSea]The MTF WaveTrend Indicator is a sophisticated tool designed to enhance market analysis through multi-timeframe WaveTrend calculations. This tool is built for traders who seek to identify market momentum and potential reversals with higher accuracy.
In the example below, we can see all the choosen timeframes agree on bearish momentum.
Key Features
Multi-Timeframe WaveTrend Analysis: Tracks WaveTrend values across multiple timeframes to provide a comprehensive view of market momentum.
Customizable Colour Rules: Offers three different colour rules (Traditional, WT1 0 Rule, WT1 & WT2 0 Rule) to suit various trading strategies.
Timeframe Visibility Control: Allows users to enable or disable specific timeframes, providing flexibility in analysis.
Clear Visual Indicators: Uses color-coded squares and labels to clearly display WaveTrend status across different timeframes.
Candle Colouring Option: Includes a setting for neutral candle coloring to enhance chart readability.
This example shows what can happen when all timeframes start alligning with eachother.
How it Works
WaveTrend Calculation: Computes the WaveTrend oscillator by applying a series of exponential moving averages and scaling calculations.
Multi-Timeframe Data Aggregation: Utilizes the `request.security` function to gather and display WaveTrend values from various timeframes without repainting issues.
Conditional Plotting: Displays visual cues only when higher timeframes align with the selected timeframe, ensuring relevant and reliable signals.
Dynamic Colour Rules: Adjusts the indicator colors based on the chosen rule, whether it's a traditional crossover, WT1 crossing zero, or both WT1 & WT2 crossing zero.
Traditional: Colors are determined by the relationship between WT1 and WT2. If WT1 is greater than WT2, it is bullish (bullColour), otherwise bearish (bearColour).
WT1 0 Rule: Colors are based on whether WT1 is above or below zero. WT1 above zero is bullish (bullColour), below zero is bearish (bearColour).
WT1 & WT2 0 Rule: A more complex rule where both WT1 and WT2 need to be above zero for a bullish signal (bullColour) or both below zero for a bearish signal (bearColour). If WT1 and WT2 are not in agreement, a neutral color (neutralColour) is displayed.
This indicator will make sure that the lowest timeframe you can see data from will be the timeframe you are on. This is to avoid false signals as you cannot display 3 x 5 minute candles whilst looking at the 15 minute candle.
Application
Strategic Decision-Making: Assists traders in making informed decisions by providing detailed analysis of WaveTrend movements across different timeframes.
Trend Confirmation: Reinforces trading strategies by confirming potential reversals with multi-timeframe WaveTrend analysis.
Customized Analysis: Adapts to various trading styles with extensive input settings that control the display and sensitivity of WaveTrend data.
The MTF WaveTrend Indicator by is an invaluable addition to a trader's toolkit, offering depth and precision in market trend analysis to navigate complex market conditions effectively.
RSI Sector analysis
Screening tool that produces a table with the various sectors and their RSI values. The values are shown in 3 rows, each with a user-defined length, and can be averaged out and displayed as a single value. The chart is color coded as well. Each ETF representing a sector can be looked at individually, with the top holdings in each preprogrammed, but users can define their own if they wish. The left most ticker is the "benchmark"; SPY is the benchmark for the various sectors, and the ETF is the benchmark for the tickers within.
Symbols are color coded: light blue text indicates that a symbol has greater RSI values in all three timeframes than the benchmark (the leftmost symbol). Orange text indicates that a symbol has a lower RSI value for all three timeframes. In the first row, light blue text indicates the largest RSI increase from the third row to the first row. Orange text indicates the largest RSI decrease from the third row to the first row.
A blue highlight indicates that the value is the highest among the tickers, excluding the benchmark, and an orange highlight indicates that the value is the lowest among the tickers, also excluding the benchmark. A blue highlight on the ticker indicates that it has the highest average value of the 3 rows, and a orange highlight on the ticker indicates that it has the lowest average value of the 3 rows.
Rolling Correlation with Bitcoin V1.1 [ADRIDEM]Overview
The Rolling Correlation with Bitcoin script is designed to offer a comprehensive view of the correlation between the selected ticker and Bitcoin. This script helps investors understand the relationship between the performance of the current ticker and Bitcoin over a rolling period, providing insights into their interconnected behavior. Below is a detailed presentation of the script and its unique features.
Unique Features of the New Script
Bitcoin Comparison : Allows users to compare the correlation of the current ticker with Bitcoin, providing an analysis of their relationship.
Customizable Rolling Window : Enables users to set the length for the rolling window, adapting to different market conditions and timeframes. The default value is 252 bars, which approximates one year of trading days, but it can be adjusted as needed.
Smoothing Option : Includes an option to apply a smoothing simple moving average (SMA) to the correlation coefficient, helping to reduce noise and highlight trends. The smoothing length is customizable, with a default value of 4 bars.
Visual Indicators : Plots the smoothed correlation coefficient between the current ticker and Bitcoin, with distinct colors for easy interpretation. Additionally, horizontal lines help identify key levels of correlation.
Dynamic Background Color : Adds dynamic background colors to highlight areas of strong positive and negative correlations, enhancing visual clarity.
Originality and Usefulness
This script uniquely combines the analysis of rolling correlation for a current ticker with Bitcoin, providing a comparative view of their relationship. The inclusion of a customizable rolling window and smoothing option enhances its adaptability and usefulness in various market conditions.
Signal Description
The script includes several features that highlight potential insights into the correlation between the assets:
Rolling Correlation with Bitcoin : Plotted as a red line, this represents the smoothed rolling correlation coefficient between the current ticker and Bitcoin.
Horizontal Lines and Background Color : Lines at -0.5, 0, and 0.5 help to quickly identify regions of strong negative, weak, and strong positive correlations.
These features assist in identifying the strength and direction of the relationship between the current ticker and Bitcoin.
Detailed Description
Input Variables
Length for Rolling Window (`length`) : Defines the range for calculating the rolling correlation coefficient. Default is 252.
Smoothing Length (`smoothing_length`) : The number of periods for the smoothing SMA. Default is 4.
Bitcoin Ticker (`bitcoin_ticker`) : The ticker symbol for Bitcoin. Default is "BINANCE:BTCUSDT".
Functionality
Correlation Calculation : The script calculates the daily returns for both Bitcoin and the current ticker and computes their rolling correlation coefficient.
```pine
bitcoin_close = request.security(bitcoin_ticker, timeframe.period, close)
bitcoin_dailyReturn = ta.change(bitcoin_close) / bitcoin_close
current_dailyReturn = ta.change(close) / close
rolling_correlation = ta.correlation(current_dailyReturn, bitcoin_dailyReturn, length)
```
Smoothing : A simple moving average is applied to the rolling correlation coefficient to smooth the data.
```pine
smoothed_correlation = ta.sma(rolling_correlation, smoothing_length)
```
Plotting : The script plots the smoothed rolling correlation coefficient and includes horizontal lines for key levels.
```pine
plot(smoothed_correlation, title="Rolling Correlation with Bitcoin", color=color.rgb(255, 82, 82, 50), linewidth=2)
h_neg1 = hline(-1, "-1 Line", color=color.gray)
h_neg05 = hline(-0.5, "-0.5 Line", color=color.red)
h0 = hline(0, "Zero Line", color=color.gray)
h_pos05 = hline(0.5, "0.5 Line", color=color.green)
h1 = hline(1, "1 Line", color=color.gray)
fill(h_neg1, h_neg05, color=color.rgb(255, 0, 0, 90), title="Strong Negative Correlation Background")
fill(h_neg05, h0, color=color.rgb(255, 165, 0, 90), title="Weak Negative Correlation Background")
fill(h0, h_pos05, color=color.rgb(255, 255, 0, 90), title="Weak Positive Correlation Background")
fill(h_pos05, h1, color=color.rgb(0, 255, 0, 90), title="Strong Positive Correlation Background")
```
How to Use
Configuring Inputs : Adjust the rolling window length and smoothing length as needed. Ensure the Bitcoin ticker is set to the desired asset for comparison.
Interpreting the Indicator : Use the plotted correlation coefficient and horizontal lines to assess the strength and direction of the relationship between the current ticker and Bitcoin.
Signal Confirmation : Look for periods of strong positive or negative correlation to identify potential co-movements or divergences. The background colors help to highlight these key levels.
This script provides a detailed comparative view of the correlation between the current ticker and Bitcoin, aiding in more informed decision-making by highlighting the strength and direction of their relationship.
High Probability OS/OB {DCAquant}DCAquant - High Probability OS/OB
The DCAquant - High Probability OS/OB Pine Script is a sophisticated indicator that provides insights into overbought (OB) and oversold (OS) conditions based on Hull Moving Averages (HMA) and Volume Weighted Moving Averages (VWMA). Here's a detailed breakdown of its functionality:
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THIS INDICATOR IS ONLY WRITTEN FOR BTC, ETH and TOTAL!!!!!!!!!!!!!
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Functionality
The script identifies high-probability OB and OS zones by combining multiple moving averages (MAs).
1. Volume Weighted Moving Average (VWMA)
The VWMA function computes the VWMA over a specified length, incorporating both the price and volume.
2. Hull Moving Average with Volume Weight (HMA-VW)
The hullma_vw function calculates the HMA using the VWMA. This involves:
Computing VWMAs over the full length and half-length.
Using these VWMAs to derive the HMA-VW through a weighted approach.
5. Standard Hull Moving Average (HMA)
The hull function computes the HMA using the standard weighted moving average (WMA).
4. Smoothed HMA-VW
This is an Exponential Moving Average (EMA) of the HMA-VW to smooth out short-term fluctuations.
How this works
First, the distance between the 2 MA's is calculated.
The distance is scored against the average price of the last 100 days.
By getting this score we can calculate extremes
The Extremes are categorized into 4 levels. The transparency of the background color distinguishes these 4 levels.
Only the MOST extremes are plotted ON THE CHART. Within the indicator, all 4 levels are plotted.
Usage
Extreme Buy zone: Consider entering the market when the indicator shows deep negative values (oversold). These are highlighted with a cyan background, with increasing opacity indicating stronger buy signals (Level 4 Zones).
Extreme Sell Zone: Consider exiting the market when the indicator shows high positive values (overbought). These are highlighted with a magenta background, with increasing opacity indicating stronger sell signals (Level 4 Zones).
Disclaimer
This indicator should not be used in isolation. It is recommended to use this as part of a systematic approach, incorporating other tools and analysis methods to confirm signals and make well-informed trading decisions.
Persistent Homology Based Trend Strength OscillatorPersistent Homology Based Trend Strength Oscillator
The Persistent Homology Based Trend Strength Oscillator is a unique and powerful tool designed to measure the persistence of market trends over a specified rolling window. By applying the principles of persistent homology, this indicator provides traders with valuable insights into the strength and stability of uptrends and downtrends, helping to inform better trading decisions.
What Makes This Indicator Original?
This indicator's originality lies in its application of persistent homology , a method from topological data analysis, to financial markets. Persistent homology examines the shape and features of data across multiple scales, identifying patterns that persist as the scale changes. By adapting this concept, the oscillator tracks the persistence of uptrends and downtrends in price data, offering a novel approach to trend analysis.
Concepts Underlying the Calculations:
Persistent Homology: This method identifies features such as clusters, holes, and voids that persist as the scale changes. In the context of this indicator, it tracks the duration and stability of price trends.
Rolling Window Analysis: The oscillator uses a specified window size to calculate the average length of uptrends and downtrends, providing a dynamic view of trend persistence over time.
Threshold-Based Trend Identification: It differentiates between uptrends and downtrends based on specified thresholds for price changes, ensuring precision in trend detection.
How It Works:
The oscillator monitors consecutive changes in closing prices to identify uptrends and downtrends.
An uptrend is detected when the closing price increase exceeds a specified positive threshold.
A downtrend is detected when the closing price decrease exceeds a specified negative threshold.
The lengths of these trends are recorded and averaged over the chosen window size.
The Trend Persistence Index is calculated as the difference between the average uptrend length and the average downtrend length, providing a measure of trend persistence.
How Traders Can Use It:
Identify Trend Strength: The Trend Persistence Index offers a clear measure of the strength and stability of uptrends and downtrends. A higher value indicates stronger and more persistent uptrends, while a lower value suggests stronger and more persistent downtrends.
Spot Trend Reversals: Significant shifts in the Trend Persistence Index can signal potential trend reversals. For instance, a transition from positive to negative values might indicate a shift from an uptrend to a downtrend.
Confirm Trends: Use the Trend Persistence Index alongside other technical indicators to confirm the strength and duration of trends, enhancing the accuracy of your trading signals.
Manage Risk: Understanding trend persistence can help traders manage risk by identifying periods of high trend stability versus periods of potential volatility. This can be crucial for timing entries and exits.
Example Usage:
Default Settings: Start with the default settings to get a feel for the oscillator’s behavior. Observe how the Trend Persistence Index reacts to different market conditions.
Adjust Thresholds: Fine-tune the positive and negative thresholds based on the asset's volatility to improve trend detection accuracy.
Combine with Other Indicators: Use the Persistent Homology Based Trend Strength Oscillator in conjunction with other technical indicators such as moving averages, RSI, or MACD for a comprehensive analysis.
Backtesting: Conduct backtesting to see how the oscillator would have performed in past market conditions, helping you to refine your trading strategy.
FiboSequFiboSequ: Fibonacci Sequence Marking
Leonardo Fibonacci was an Italian mathematician who lived in the 12th century. His real name was Leonardo of Pisa, but he is commonly known as "Fibonacci." Fibonacci is famous for introducing the Hindu-Arabic numeral system to the Western world. This system is the basis of the modern decimal number system we use today.
Fibonacci Sequence
The Fibonacci sequence is a series of numbers that frequently appears in mathematics and nature. The first two numbers in the sequence are 0 and 1, and each subsequent number is the sum of the two preceding numbers.
The sequence is as follows:
0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, 233, 377, 610, 987, 1597, 2584, ...
Fibonacci Time Zones:
Fibonacci time zones are used to identify potential turning points in the market at specific time intervals. These time zones correspond to the Fibonacci sequence in terms of consecutive days or weeks.
The Fibonacci sequence has a wide range of applications in both mathematics and nature. Leonardo Fibonacci's work has had a significant impact on the development of modern mathematics and numeral systems. In financial markets, the Fibonacci sequence and ratios are frequently used by technical analysts to predict and analyze market movements.
Description:
Overview:
The FiboSequ indicator marks significant days on a price chart based on the Fibonacci sequence. This can help traders identify potential turning points or areas of interest in the market. The Fibonacci sequence is a series of numbers where each number is the sum of the two preceding ones, often found in nature and financial markets.
Fibonacci Sequence:
The sequence used in this indicator includes: 1, 3, 5, 8, 13, 21, 34, 55, 89, 144, 233, 377, 610, 987, 1597, and 2584.
These numbers represent the days to be marked on the chart, highlighting possible significant market movements.
How It Works:
User Input:
Users can input the starting date (Year, Month, and Day) from which the Fibonacci sequence will begin to be calculated.
This allows flexibility and customization based on the trader's analysis needs.
Calculation:
The starting date is converted into a timestamp in seconds.
For each bar on the chart, the number of days since the starting date is calculated.
The indicator checks if the current day matches any of the Fibonacci sequence days, the previous day, or the next day.
In this indicator, Fibonacci numbers can be displayed on the chart as plus and minus 2 days. For example, for the 145th day, signals start to appear as 143,144 and 145. This is due to dates that sometimes coincide with weekends and public holidays.
Marking the Chart:
When a match is found, a label is placed above the bar indicating the day number from the Fibonacci sequence.
These labels are colored blue with white text for easy visibility.
Usage:
This indicator can be used on any timeframe and market to help identify potential areas where price might react.
It is especially useful for those who employ Fibonacci analysis in their trading strategy.
Example:
If the starting date is January 1, 2020, the indicator will mark significant Fibonacci days (e.g., 1, 3, 5, 8 days, etc.) on the chart from this date onward.
Community Guidelines Compliance:
This indicator adheres to TradingView's Pine Script community guidelines.
It provides customizable user inputs and does not violate any terms of use.
By using the FiboSequ indicator, traders can enhance their technical analysis by incorporating time-based Fibonacci levels, potentially leading to better market timing and decision-making.
Frequently Asked Questions (FAQ)
Q: What is the FiboSequ indicator?
A: The FiboSequ indicator is a technical analysis tool that marks significant days on a price chart based on the Fibonacci sequence. This indicator helps traders identify potential turning points or areas of interest in the market.
Q: What is the Fibonacci sequence and why is it important?
A: The Fibonacci sequence is a series of numbers where each number is the sum of the two preceding ones. The first two numbers are 0 and 1. This sequence frequently appears in nature and financial markets and is used in technical analysis to identify important support and resistance levels.
Q: How do the Fibonacci time zones in the indicator work?
A: Fibonacci time zones are used to identify potential market turning points at specific time intervals. The indicator calculates days based on the Fibonacci sequence (e.g., 1, 3, 5, 8 days, etc.) from the starting date and marks them on the chart.
Q: How can users set the starting date?
A: Users can input the starting date by specifying the year, month, and day. This sets the date from which the indicator begins its calculations, providing flexibility for user analysis.
Q: What do the labels in the indicator represent?
A: The labels mark specific days in the Fibonacci sequence. For example, 1st day, 3rd day, 5th day, etc. These labels are displayed in blue with white text for easy visibility.
Q: Which timeframes can I use the FiboSequ indicator on?
A: The FiboSequ indicator can be used on any timeframe. This includes daily, weekly, or monthly charts, as well as shorter timeframes.
Q: Which markets can the FiboSequ indicator be used in?
A: The FiboSequ indicator can be used in various financial markets, including stocks, forex, cryptocurrencies, commodities, and more.
Q: How can I achieve better market timing with the FiboSequ indicator?
A: The FiboSequ indicator helps identify potential market turning points using time-based Fibonacci levels. This can lead to better market timing and more informed trading decisions for traders.
-Please feel free to write your valuable comments and opinions. I attach importance to your valuable opinions so that I can improve myself.
Bull Market Drawdowns V1.0 [ADRIDEM]Bull Market Drawdowns V1.0
Overview
The Bull Market Drawdowns V1.0 script is designed to help visualize and analyze drawdowns during a bull market. This script calculates the highest high price from a specified start date, identifies drawdown periods, and plots the drawdown areas on the chart. It also highlights the maximum drawdowns and marks the start of the bull market, providing a clear visual representation of market performance and potential risk periods.
Unique Features of the New Script
Default Timeframe Configuration: Allows users to set a default timeframe for analysis, providing flexibility in adapting the script to different trading strategies and market conditions.
Customizable Bull Market Start Date: Users can define the start date of the bull market, ensuring the script calculates drawdowns from a specific point in time that aligns with their analysis.
Drawdown Calculation and Visualization: Calculates drawdowns from the highest high since the bull market start date and plots the drawdown areas on the chart with distinct color fills for easy identification.
Maximum Drawdown Tracking and Labeling: Tracks the maximum drawdown for each period and places labels on the chart to indicate significant drawdowns, helping traders identify and assess periods of higher risk.
Bull Market Start Marker: Marks the start of the bull market on the chart with a label, providing a clear reference point for the beginning of the analysis period.
Originality and Usefulness
This script provides a unique and valuable tool by combining drawdown analysis with visual markers and customizable settings. By calculating and plotting drawdowns from a user-defined start date, traders can better understand the performance and risks associated with a bull market. The script’s ability to track and label maximum drawdowns adds further depth to the analysis, making it easier to identify critical periods of market retracement.
Signal Description
The script includes several key visual elements that enhance its usefulness for traders:
Drawdown Area : Plots the upper and lower boundaries of the drawdown area, filling the space between with a semi-transparent color. This helps traders easily identify periods of market retracement.
Maximum Drawdown Labels : Labels are placed on the chart to indicate the maximum drawdown for each period, providing clear markers for significant drawdowns.
Bull Market Start Marker : A label is placed at the start of the bull market, marking the beginning of the analysis period and helping traders contextualize the drawdown data.
These visual elements help quickly assess the extent and impact of drawdowns within a bull market, aiding in risk management and decision-making.
Detailed Description
Input Variables
Default Timeframe (`default_timeframe`) : Defines the timeframe for the analysis. Default is 720 minutes
Bull Market Start Date (`start_date_input`) : The starting date for the bull market analysis. Default is January 1, 2023
Functionality
Highest High Calculation : The script calculates the highest high price on the specified timeframe from the user-defined start date.
```pine
var float highest_high = na
if (time >= start_date)
highest_high := na(highest_high ) ? high : math.max(highest_high , high)
```
Drawdown Calculation : Determines the drawdown starting point and calculates the drawdown percentage from the highest high.
```pine
var float drawdown_start = na
if (time >= start_date)
drawdown_start := na(drawdown_start ) or high >= highest_high ? high : drawdown_start
drawdown = (drawdown_start - low) / drawdown_start * 100
```
Maximum Drawdown Tracking : Tracks the maximum drawdown for each period and places labels above the highest high when a new high is reached.
```pine
var float max_drawdown = na
var int max_drawdown_bar_index = na
if (time >= start_date)
if na(max_drawdown ) or high >= highest_high
if not na(max_drawdown ) and not na(max_drawdown_bar_index) and max_drawdown > 10
label.new(x=max_drawdown_bar_index, y=drawdown_start , text="Max -" + str.tostring(max_drawdown , "#") + "%",
color=color.red, style=label.style_label_down, textcolor=color.white, size=size.normal)
max_drawdown := 0
max_drawdown_bar_index := na
else
if na(max_drawdown ) or drawdown > max_drawdown
max_drawdown := drawdown
max_drawdown_bar_index := bar_index
```
Drawdown Area Plotting : Plots the drawdown area with upper and lower boundaries and fills the area with a semi-transparent color.
```pine
drawdown_area_upper = time >= start_date ? drawdown_start : na
drawdown_area_lower = time >= start_date ? low : na
p1 = plot(drawdown_area_upper, title="Drawdown Area Upper", color=color.rgb(255, 82, 82, 60), linewidth=1)
p2 = plot(drawdown_area_lower, title="Drawdown Area Lower", color=color.rgb(255, 82, 82, 100), linewidth=1)
fill(p1, p2, color=color.new(color.red, 90), title="Drawdown Fill")
```
Current Maximum Drawdown Label : Places a label on the chart to indicate the current maximum drawdown if it exceeds 10%.
```pine
var label current_max_drawdown_label = na
if (not na(max_drawdown) and max_drawdown > 10)
current_max_drawdown_label := label.new(x=bar_index, y=drawdown_start, text="Max -" + str.tostring(max_drawdown, "#") + "%",
color=color.red, style=label.style_label_down, textcolor=color.white, size=size.normal)
if (not na(current_max_drawdown_label))
label.delete(current_max_drawdown_label )
```
Bull Market Start Marker : Places a label at the start of the bull market to mark the beginning of the analysis period.
```pine
var label bull_market_start_label = na
if (time >= start_date and na(bull_market_start_label))
bull_market_start_label := label.new(x=bar_index, y=high, text="Bull Market Start", color=color.blue, style=label.style_label_up, textcolor=color.white, size=size.normal)
```
How to Use
Configuring Inputs : Adjust the default timeframe and start date for the bull market as needed. This allows the script to be tailored to different market conditions and trading strategies.
Interpreting the Indicator : Use the drawdown areas and labels to identify periods of significant market retracement. Pay attention to the maximum drawdown labels to assess the risk during these periods.
Signal Confirmation : Use the bull market start marker to contextualize drawdown data within the overall market trend. The combination of drawdown visualization and maximum drawdown labels helps in making informed trading decisions.
This script provides a detailed view of drawdowns during a bull market, helping traders make more informed decisions by understanding the extent and impact of market retracements. By combining customizable settings with visual markers and drawdown analysis, traders can better align their strategies with the underlying market conditions, thus improving their risk management and decision-making processes.
PROWIN STUDY BASIC CURRENT CANDLE TABLE**PROWIN STUDY BASIC CURRENT CANDLE TABLE**
**Description:**
The PROWIN STUDY BASIC CURRENT CANDLE TABLE indicator provides an insightful analysis of the current candle's volume and its comparative performance against the last 50 candles. This script includes several features designed to help traders understand volume trends and potential market direction.
**Key Features:**
1. **Volume Analysis**:
- Accesses the current candle's volume and compares it with the highest and lowest volumes over the past 50 candles.
- Calculates the average volume between the highest and lowest values for a better perspective.
2. **Candle Trend Identification**:
- Identifies whether the current candle is bullish or bearish by comparing the current close price with the previous close price.
3. **Average Volume Calculation**:
- Computes the average volume of bullish (green) and bearish (red) candles over the last 50 periods.
- Derives an average value between the green and red volume averages.
4. **Volume Slope Calculation**:
- Calculates the difference in volume averages (EMAs) between successive periods to determine the slope.
- Computes the angle of inclination for green, red, and average volume lines in degrees.
5. **Plotting**:
- Plots the average volumes of green and red candles as well as the combined average on the chart.
- Visualizes these metrics with color-coded lines for quick interpretation.
6. **Dynamic Table**:
- Displays a dynamic table on the chart that updates in real-time.
- Shows the angles of inclination for buy (green), sell (red), and average volume (blue) with corresponding background colors.
7. **Customizable Background**:
- Includes an option to set a semi-transparent background color for the chart, enhancing visual clarity.
This indicator is designed to help traders gain deeper insights into market volume dynamics and make more informed trading decisions. Whether you're analyzing short-term movements or long-term trends, the PROWIN STUDY BASIC CURRENT CANDLE TABLE offers valuable data at a glance.
AMDX/XAMD indicatorThe AMDX/XAMD indicator is designed to highlight specific trading sessions on the chart using distinct colors and optional vertical lines. Users can choose between two session types, AMDX or XAMD, and customize the visual appearance of the sessions. This tool is particularly useful for traders who want to analyze market behavior during different trading periods.
Meaning of AMDX:
A: Accumulation
M: Manipulation
D: Distribution
X: Continuation Or Reversal
Features:
Session Highlighting:
AMDX Sessions: Split into four segments - A, M, D, X.
XAMD Sessions: Split into four segments - X, A, M, D.
Customizable Colors:
Choose individual colors for each session (A, M, D, X).
Adjust the transparency of the session boxes for better visual integration with the chart.
Drawing Styles:
Box Style: Draws colored boxes around the session ranges.
Line Style: Draws vertical lines at session start and end times.
Vertical Lines:
Option to enable or disable vertical lines at session boundaries.
Customizable line style: Solid, Dotted, or Dashed.
Session Labels:
Automatically labels each session for easy identification.
Customization Options:
Session Type: Select between AMDX and XAMD session types.
Colors: Set custom colors for each session and vertical lines.
Border Width: Adjust the width of the session box borders.
Transparency: Control the transparency level of the session boxes.
Drawing Style: Choose between Box and Line styles for session representation.
Vertical Lines: Enable or disable vertical lines and select the line style.
How It Works:
The indicator calculates the start and end times for each session based on the selected session type (AMDX or XAMD). It then draws either boxes or lines to highlight these sessions on the chart. The indicator also includes options to draw vertical lines at the session boundaries and labels each session with a corresponding letter (A, M, D, X).
Use Cases:
Market Session Analysis: Easily identify and analyze market behavior during different trading sessions.
Intraday Trading: Helps intraday traders to focus on specific time segments of the trading day.
Visual Segmentation: Provides a clear visual segmentation of the trading day, aiding in better decision-making.
Times for AMDX/XAMD session:
A Session: 18:00 (previous day) to 03:00 (current day)
M Session: 03:00 to 09:00
D Session: 09:00 to 12:00
X Session: 12:00 to 18:00
Time for the XAMD session :
X Session: 18:00 (previous day) to 00:00 (current day)
A Session: 00:00 to 09:00
M Session: 09:00 to 12:00
D Session: 12:00 to 18:00
Retail Sales v Inflation YoYAre high retail sales increases really positive if the inflation rate is higher?
This year over year indicator of retail sales versus inflation levels can be placed in concert with any security to determine how symbols trade when inflation or retail sales are higher. A green histogram is when retail sales are higher than the inflation rate on a year over year basis. Red indicates inflation is higher rate.
The indicator can work with any symbols to see divergences. Feel free to change the positive and negative symbols to run other comparisons.
VAMSI ADVANCE Entry HelperThe "VAMSI Entry Helper" indicator is designed to assist traders in identifying potential entry points in the market by analyzing price equilibrium and liquidity equilibrium using a combination of Relative Strength Index (RSI) and moving averages. Here’s a detailed description of its components and functionality:
Components of the Indicator:
RSI (Relative Strength Index):
RSI Length: This parameter (rsiLengthInput) controls the period over which the RSI is calculated. It is set to 50 by default, but you can adjust it as needed.
RSI Source: The source of the price data for calculating the RSI, which is the closing price by default.
Moving Average (MA):
MA Type: You can choose between Simple Moving Average (SMA) and Exponential Moving Average (EMA) for smoothing the RSI values.
MA Length: This parameter (maLengthInput) controls the period over which the moving average of the RSI is calculated. It is set to 60 by default.
Functionality:
RSI Calculation:
The script calculates the RSI based on the selected source and length. RSI is a momentum oscillator that measures the speed and change of price movements and oscillates between 0 and 100.
The RSI calculation involves computing the average gains and losses over the specified period (rsiLengthInput), and then applying the RSI formula.
Moving Average of RSI:
After calculating the RSI, the indicator computes a moving average of the RSI values using the specified type (SMA or EMA) and length (maLengthInput). This smoothed RSI helps in identifying the equilibrium of liquidity.
Plots:
RSI Plot: The RSI values are plotted on the chart with a purple line (#4B0082), providing a visual representation of price equilibrium.
MA Plot: The moving average of the RSI is plotted with a black line, showing the smoothed trend of the RSI.
Middle Band: A horizontal line at the 50 level is plotted as a reference point, indicating the midpoint of the RSI scale. This can help in identifying overbought and oversold conditions.
Use Case:
Price Equilibrium: The RSI plot helps traders identify when the price is relatively strong or weak. RSI values above 70 may indicate an overbought condition, while values below 30 may indicate an oversold condition.
Liquidity Equilibrium: The moving average of the RSI provides a smoothed view of the RSI, helping traders see the overall trend of liquidity equilibrium.
Example Usage:
Entry Points: Traders might look for entry points when the RSI crosses above or below its moving average, indicating potential changes in momentum.
Overbought/Oversold Conditions: Traders can use the RSI values along with the middle band (50) to identify overbought (RSI > 70) and oversold (RSI < 30) conditions.
Customization:
RSI Length: Adjustable to fit different trading strategies and timeframes.
Source: You can change the source data for the RSI calculation (e.g., close, open, high, low).
MA Type and Length: You can choose between SMA and EMA and adjust the period to better fit your trading style.
This indicator provides a comprehensive tool for traders to analyze price and liquidity equilibrium, helping them make informed decisions about entry points in the market.
NY Killzone (Morning, Lunch, Afternoon)Indicator for New York session that splits Morning, Lunch and Afternoon part of the session.
Works on Time Frames of 30m and below.
Custom Candle Body Color and EMA Crossover IndicatorWe determine if the price is below EMA 9 by comparing the close price with EMA 9.
We determine if the current candle body is huge compared to the previous candle's body.
We plot EMA 9 in black color and EMA 200 in green color.
We plot blue triangles below the bars for EMA crossover above and red triangles above the bars for EMA crossover below.
We set the color of the candle body to red if the price is below EMA 9 and to green if the price is above EMA 9, only when the current candle body is huge compared to the previous candle's body.
Volume NThe Volume Indicator provides a visual representation of trading volume, expressed in U.S. dollars, directly on your chart. It multiplies each candle's closing price by its volume to compute the volume in dollar terms, offering a clearer perspective on market activity relative to price movements.
Features:
Volume Calculation: The indicator calculates the volume in dollar terms by multiplying the closing price by the trading volume of each bar.
Color Coding: Bars are colored to highlight significant trading activity. Standard bars are displayed in blue, whereas bars representing the highest trading volume over the latest 10-bar period are colored red.
Dynamic Labels: Red bars, indicating peak volume within the specified period, feature dynamically positioned labels that display the dollar amount, formatted to three significant figures. Labels are appended with "M" for millions or "B" for billions as appropriate, followed by a dollar sign to denote currency.
Automatic Label Adjustment: To avoid label overlap and maintain chart clarity, labels adjust their vertical positioning automatically based on proximity to other labels.
Usage:
This indicator is particularly useful for traders who wish to assess the strength of price movements in conjunction with volume. By quantifying volume in dollar terms, it provides a more standardized measure of trading intensity, which can be beneficial for making informed trading decisions in both high and low volatility environments.
Bull Bear Trend IndicatorIntroduction: Origin of the Swing Point Indicator
In the quest for a reliable indicator that accurately predicts trend directions and identifies valid highs and lows, the genesis of the Swing Point Indicator emerged. Faced with the challenge of finding a tool that provided comprehensive market analysis and actionable insights, the need for a novel solution became evident. Combining insights gleaned from market analysis and innovative algorithmic approaches, the Swing Point Indicator was born.
Enhanced Feature: Highs and Lows Labeling in Trend Direction
In addition to its core functionalities, the Swing Point Indicator incorporates an advanced feature that enhances the visualization of trend direction. This feature provides further clarity by selectively labeling highs and lows based on the prevailing trend, reinforcing the identification of higher highs and lower lows in uptrends and downtrends, respectively. Overlapping labels on highs and lows signify a potential trend change, providing traders with valuable insight into market reversals.
Detailed Description:
1. Uptrend Labeling:
- Higher Highs (Green Label with Price): In an uptrend, where higher highs are observed, the indicator labels these points with vibrant green color and includes the corresponding price value. This visually highlights the significance of higher highs as pivotal points in the upward trajectory of prices.
- Higher Lows (Red Marker without Text or Diamond): To complement the identification of higher highs, higher lows are marked with a distinct red marker or diamond, devoid of any accompanying text. While these points are crucial in delineating the ascending trend, their emphasis lies in their role as support levels, providing a foundation for upward price movements.
2. Downtrend Labeling:
- Lower Lows (Red Label with Price): Conversely, in a downtrend characterized by lower lows, the indicator labels these points with conspicuous red color, accompanied by the corresponding price value. Lower lows signify critical levels of downward price momentum, acting as indicators of potential bearish continuation.
- Lower Highs (Green Marker without Text or Diamond): Lower highs, indicative of downward retracements in a downtrend, are marked by distinctive green markers or diamonds without accompanying text. While these points denote temporary pauses or pullbacks in the bearish trend, their emphasis lies in their role as resistance levels, impeding upward price movements.
Functionality and Utility:
- Customizable Lookback Candle Count: Traders have the option to adjust the lookback candle count, which is set by default at 108 candles in the settings. This flexibility allows traders to tailor the indicator to their specific trading preferences and timeframes.
- Equal Highs or Lows Option: When enabled, the Swing Point Indicator can identify equal highs or equal lows, providing traders with additional insight into market dynamics.
- Formation Confirmation: A new higher high along with its higher low or a new lower low along with its lower high is confirmed after two candles have closed following the swing point candle. This ensures the reliability of the identified trend direction.
Conclusion:
The incorporation of selective labeling for highs and lows based on trend direction, alongside the introduction of customizable settings and formation confirmation criteria, enhances the effectiveness of the Swing Point Indicator. This feature-rich tool empowers traders with a nuanced understanding of market dynamics, highlighting critical price levels and trend reversals. By offering enhanced visualization, customizable options, and confirmation criteria, the Swing Point Indicator equips traders with the confidence and precision needed to navigate the markets successfully, contributing to more informed and profitable trading strategies.
Heat Map SeasonsHeat Map Seasons indicator
Indicator offers traders a unique perspective on market dynamics by visualizing seasonal trends and deviations from typical price behavior. By blending regression analysis with a color-coded heat map, this indicator highlights periods of heightened volatility and helps identify potential shifts in market sentiment.
Summer:
In the context of the indicator, "summer" represents a period of heightened volatility and upward price momentum in the market. This is analogous to the warmer months of the year when activities are typically more vibrant and energetic. During the "summer" phase indicated by the indicator, traders may observe strong bullish trends, increased trading volumes, and larger price movements. It suggests a favorable environment for bullish strategies, such as trend following or momentum trading. However, traders should exercise caution as heightened volatility can also lead to increased risk and potential drawdowns.
Winter:
Conversely, "winter" signifies a period of decreased volatility and potentially sideways or bearish price action in the market. Similar to the colder months of the year when activities tend to slow down, the "winter" phase in the indicator suggests a quieter market environment with subdued price movements and lower trading volumes. During this phase, traders may encounter choppy price action, consolidation patterns, or even downtrends. It indicates a challenging environment for trend-following strategies and may require a more cautious approach, such as range-bound or mean-reversion trading strategies.
In summary, the "summer" and "winter" phases in the "Heat Map Seasons" indicator provide traders with valuable insights into the prevailing market sentiment and can help inform their trading decisions based on the observed levels of volatility and price momentum.
How to Use:
Watch for price bars that deviate significantly from the regression line , as these may signal potential trading opportunities.
Use the seasonal gauge to gauge the current market sentiment and adjust trading strategies accordingly.
Experiment with different settings for Length and Heat Sensitivity to customize the indicator to your trading style and preferences.
The "Heat Map Seasons" indicator can potentially identify overheated market tops and bottoms on a weekly timeframe by detecting significant deviations from the regression line and observing extreme color gradients in the heat map. Here's how it can be used for this purpose:
Observing Extreme Color Gradients:
When the market is overheated and reaches a potential top, you may observe extremely warm colors (e.g., deep red) in the heat map section of the indicator.
Traders can interpret this as a warning sign of a potential market top, indicating that bullish momentum may be reaching unsustainable levels.
Conversely, when prices deviate too far below the regression line, it may indicate oversold conditions and a potential bottom.
Potential Tops and Bottoms:
User Inputs:
Length: Determines the length of the regression analysis period.
Heat Sensitivity: Controls the sensitivity of the heat map to deviations from the regression line.
Show Regression Line: Option to display or hide the regression line on the chart
Note: This indicator is best used in conjunction with other technical analysis tools and should not be relied upon as the sole basis for trading decisions.
Session LiquidityDescribes if markets are liquid enough for institutions to manipulate. Its often difficult to determine if markets will trend or chop, but by looking at how much volume we have at the open, we can determine of the session will be choppy or trendy, and take trades based on that.
Settings predefined for 1m timeframe on SPY. May work with other tickers, but I have not tested it out yet.
Designed for stocks(as of now, may update later)
Buffett IndicatorThis is an open-source version of the Buffett indicator. The old version was code-protected and broken, so I created another version.
It's computed simply as the entire SPX 500 capitalization divided by the US GDP. Since TradingView does not have data for the SPX 500 capitalization, I used quarterly values of SPX devisors as a proxy.
I tried to create another version of the Buffett indicator for other countries/indexes, but I can't find the data. If you can help me find data for index divisors, I can add more choices to this indicator.
It's interesting to see how this indicator's behavior has changed in the last few years. Levels that looked crazy are not so crazy anymore.
Disclaimer
Please remember that past performance may not be indicative of future results.
Due to various factors, including changing market conditions, the strategy may no longer perform as well as in historical backtesting.
This post and the script don’t provide any financial advice.
