Daily, Hourly and 5 min EMA (13)Simple 13 day EMA of daily, hourly and 5 min on a single indicator chart.
Red = Daily
Green = Hourly
Blue = 5 min
Cerca negli script per "daily"
Daily Deviations Version 3Version 3 of Daily Deviations
Combines Lazy and Self Input version
HOW TO USE:
Select volatility index related to ticker. (Ex. Using SPY? Select VIX. Using QQQ? Select VXN. etc)
OR
Uncheck other volatility options and select "Use Custom Volatility" and input your own volatility.
Default setting is to use the previous close price as the "0 Level".
OR
Uncheck "Use Close Price" to enable a synthetic settlement price that is made by using the average of the daily open and close.
OR
Uncheck "Use Close Price" and select "Use Custom Settlement" and input your own settlement price.
Mess around and find the settings that you like the most.
Credits to /u/Living_Granger and /u/UberBotMan for the formulas and idea.
Pivots Daily Weekly Monthly YearlyDaily, Weekly, Monthly and yearly pivot lines
Just the pivot lines without the support and resistance lines
Previous Daily OHLCPrevious Daily OHLC Indicator
Overview:
This professional TradingView indicator displays the previous day's key price levels (Open, High, Low, Close, and 50% midpoint) as horizontal lines on your chart. These levels are essential for traders who use previous day data as support and resistance zones in their technical analysis.
What It Does
Displays Previous Day Levels: Automatically shows horizontal lines for yesterday's OHLC data
Real-Time Updates: Lines update dynamically each new trading day
Fully Customizable: Complete control over which levels to display and how they appear
Smart Line Management: Choose between showing lines for recent bars or across the entire chart
Professional Labels: Clear labels with optional price values for each level
Color Coded System: Distinct colors for each level type for instant recognition
Key Features
Five Important Price Levels
Previous Day Open: Yesterday's opening price - often acts as psychological level
Previous Day High: Yesterday's highest price - key resistance level for breakout trading
Previous Day Low: Yesterday's lowest price - important support level for breakdowns
Previous Day Close: Yesterday's closing price - significant reference point
50% Midpoint: Calculated midpoint between previous day's high and low - bias indicator
DC History & Daily Cross CountOkay, here is a technical document for the Pine Script indicator we developed. This can be used as a guide or description when publishing the script on TradingView or elsewhere.
Technical Document: SMA Cross Signals & Static DC History (Death Cross)
Version: 1.0
Date: April 14, 2025
Indicator Name: Specific Static DC History + Live Signals
Pine Script Version: 5
1. Overview
This TradingView indicator is designed to provide traders with visual signals for Simple Moving Average (SMA) crossovers, specifically focusing on the "Death Cross", while also presenting relevant historical context via a static data table and a real-time daily cross counter.
It combines several features:
Plotting of a fast and a slow Simple Moving Average (SMA).
Visual identification and marking of "Death Cross" events (Fast SMA crossing below Slow SMA) directly on the price chart.
A customizable table displaying static, pre-defined historical performance data of the S&P 500 following specific Death Crosses that occurred between 2016 and 2022.
An optional label that counts the total number of SMA crosses (both Golden Crosses and Death Crosses) occurring during the current trading day/session, including extended hours if enabled by the user on their chart.
2. Features
Customizable SMA Lengths: User-defined periods for both the Fast (default 50) and Slow (default 200) SMAs.
Death Cross Signals: Clear visual markers (red triangles above the bar and optional background shading) when the Fast SMA closes below the Slow SMA.
Optional SMA Plotting: Ability to show or hide the SMA lines themselves.
Static Historical Performance Table: Displays fixed historical return data (1 Week, 1 Month, 3 Months, 6 Months, 1 Year) following specific S&P 500 Death Crosses that occurred on 1/11/2016, 12/7/2018, 3/30/2020, and 3/14/2022. Note: This data is static and does not change based on the current chart.
Customizable Table Position: User can select the on-screen corner for the data table.
Daily SMA Cross Counter: Optionally displays a label showing the cumulative number of times the Fast SMA has crossed above (Golden Cross) or below (Death Cross) the Slow SMA during the current trading day/session.
Extended Hours Compatibility: The Daily Cross Counter includes crosses from pre-market and after-hours sessions if the user has "Extended Trading Hours" enabled on their TradingView chart settings.
3. Technical Explanation
SMA Calculation: The script uses the built-in ta.sma(source, length) function, calculating the Simple Moving Average based on the close price of each bar for the user-defined fastLen and slowLen.
Death Cross Detection: A Death Cross is detected using ta.crossunder(fastMA, slowMA). This function returns true on the first bar where the value of fastMA is less than the value of slowMA, after previously being greater than or equal to it. The comparison is based on the calculated SMA values at the close of each bar.
Golden Cross Detection: Similarly, ta.crossover(fastMA, slowMA) is used to detect Golden Crosses for the daily counter.
Visual Signals: The plotshape() function draws a red triangle above the bar where deathCross is true. The bgcolor() function applies a transparent red background to the bar where deathCross is true.
Static Table Data: The historical performance data for the 4 specified dates (Jan 2016 - Mar 2022) is hardcoded into array variables within the script. This data was derived from a prior analysis (based on the initially provided image, source likely Dow Jones Market Data or similar) and is not calculated dynamically from the chart. The script iterates through these arrays and populates a table object on the last bar.
Daily Cross Counter:
A var int dailyCrossCount variable holds the count, ensuring persistence across bars within a day.
ta.change(time("D")) detects the start of a new daily session based on the chart's symbol and session settings. When true, the dailyCrossCount is reset to 0.
On each bar, if either deathCross or goldenCross is true, the dailyCrossCount is incremented.
A label object displays the dailyCrossCount and is updated on the last bar (barstate.islast).
Extended Hours Inclusion: The script inherently uses the data series provided by the chart. If the chart is configured to include Extended Trading Hours (ETH), the close prices used for SMA calculations will reflect ETH data, and crosses occurring during ETH will be detected and counted.
4. Settings (Inputs)
Show Static Data Table (2016-2022) (Checkbox): Toggles the visibility of the table containing the fixed historical performance data. (Default: On)
Table Position (Dropdown): Selects the corner or side of the chart where the static data table will be displayed. (Default: top_right)
Plot 50/200 SMAs (Checkbox): Toggles the visibility of the Fast and Slow SMA lines on the chart. (Default: On)
Fast MA Length (Integer Input): Sets the lookback period for the Fast Simple Moving Average. (Default: 50)
Slow MA Length (Integer Input): Sets the lookback period for the Slow Simple Moving Average. (Default: 200)
Show Daily Cross Count (Checkbox): Toggles the visibility of the label displaying the number of SMA crosses detected during the current day's session. (Default: On)
5. How to Use / Interpretation
Apply the indicator to your desired chart (e.g., SPY, QQQ, /ES).
Use the plotted SMA lines (if enabled) and the red triangle/background signals to identify potential trend changes indicated by Death Crosses based on your chosen MA lengths. Remember that these are lagging indicators.
Refer to the static data table for historical context only. It shows how the S&P 500 performed following specific Death Crosses between 2016 and 2022. This data is fixed and does not predict future performance.
Use the "Today's SMA Crosses" label (if enabled) to gauge the frequency of interaction between the chosen SMAs during the current session. A higher number might indicate choppier conditions or potential shifts on the chart's timeframe.
Important: For the Daily Cross Counter to reflect pre-market/after-hours activity, ensure "Extended Trading Hours" (ETH) is enabled in your TradingView chart settings.
Be aware that the number of crosses detected by the script (based on bar closes) may differ from visual interpretations of lines touching intraday, especially on lower timeframes.
6. Limitations
Static Table Data: The performance data in the table is fixed to the 4 provided historical instances (2016-2022) and is not calculated dynamically or updated. It serves only as a historical reference point.
Lagging Indicators: Moving Averages and their crosses are lagging indicators and may not signal trend changes precisely at tops or bottoms.
Cross Calculation: Crosses are based on the closing price of each bar. Intraday price movements briefly piercing an SMA may not register as a confirmed cross.
Daily Counter Definition: The definition of "Today" depends on the chart's session timing, which might not align perfectly with a calendar day.
Whipsaws: On lower timeframes or during volatile periods, MA crosses can generate frequent signals (whipsaws) which may be less reliable.
7. Disclaimer
This indicator is provided for informational and educational purposes only. It does not constitute financial advice or a recommendation to buy or sell any security. Trading involves significant risk, and past performance (including the historical data presented in the table) is not indicative of future results. Always conduct your own thorough research and consult with a qualified financial advisor before making any trading decisions.
Nick_OS RangesUNDERSTANDING THE SCRIPT:
TIMEFRAME RESOLUTION:
* You have the option to choose Daily , Weekly , or Monthly
LOOKBACK WINDOW:
* This number represents how far back you want the data to pull from
- Example: "250" would represent the past 250 Days, Weeks, or Months depending on what is selected in the Timeframe Resolution
RANGE 1 nth (Gray lines):
* This number represents the range of the nth biggest day, week, or month in the Lookback Window
- Example: "30" would represent the range of the 30th biggest day in the past 250 days. (If the Lookback Window is "250")
RANGE 2 nth (Blue lines):
* This number represents the range of the nth biggest day, week, or month in the Lookback Window
- Example: "10" would represent the range of the 10th biggest day in the past 250 days. (If the Lookback Window is "250")
RANGE 3 nth (Pink lines):
* This number represents the range of the nth biggest day, week, or month in the Lookback Window
- Example: "3" would represent the range of the 3rd biggest day in the past 250 days. (If the Lookback Window is "250")
YELLOW LINES:
* The yellow lines are the average percentage move of the inputted number in the Lookback Window
SUGGESTED INPUTS:
FOR DAILY:
Lookback Window: 250
Range 1 nth: 30
Range 2 nth: 10
Range 3 nth: 3
FOR WEEKLY:
Lookback Window: 50
Range 1 nth: 10
Range 2 nth: 5
Range 3 nth: 2
FOR MONTHLY:
Lookback Window: 12
Range 1 nth: 3
Range 2 nth: 2
Range 3 nth: 1
TIMEFRAMES TO USE (If You Have TradingView Premium):
Daily: 5 minute timeframe and higher (15 minute timeframe and higher for Futures)
Weekly: 15 minute timeframe and higher
Monthly: Daily timeframe and higher (Monthly still has issues)
TIMEFRAMES TO USE (If You DO NOT Have TradingView Premium):
Daily: 15 minute timeframe and higher
Weekly: 30 minute timeframe and higher
Monthly: Daily timeframe and higher (Monthly still has issues)
IMPORTANT RELATED NOTE:
If you decide to use a higher Lookback Window, the ranges might be off and the timeframes listed above might not apply
ISSUES THAT MIGHT BE RESOLVED IN THE FUTURE
1. If it is a shortened week (No Monday or Friday), then the Weekly Ranges will show the same ranges as last week
2. Monthly ranges will change based on any timeframe used
Lepelle's Key LevelsCredit to original code goes to paaax and NSDT. Modified to include premarket H/L levels and to show only daily levels. Indicator includes Close levels.
-US Premarket High and Low Levels
-Daily OHL Levels (No close included)
-Yesterday and Previous day OHLC level
-Labels and ability to modify user preferences (color, line)
VX DailyCycle PD Table (Levang)**Futures trading dependent**
QT Theory dependent (Daye) --> VX Theory DailyCycle with 3 ranges using detailing extreme premium range to mean range to extreme discount range *ONLY* 15min timeframe that start at 7:30am every trading day. This data table compares 3 triads (default qt triads as inputs) detailing what range each asset is currently in.
**continuous contracts are default as inputs but monthly contracts works best.**
Overview
This indicator creates a dynamic table showing the current market position of multiple assets across three major market segments: Equity Index futures, Currency futures, and Bond futures. Each asset's position is analyzed using VX Daily Cycle levels and displayed with intuitive color-coding and symbols.
Assets Tracked
Equity Triad: ES1!, NQ1!, YM1!
Currency Triad: DXY (Capital.com), 6E1!, 6B1!
Bond Triad: ZB1!, TN1!, ZF1!
Visual Interpretation
The table uses three main colors to indicate market positioning:
Green: Asset is trading at a discount
Yellow: Asset is trading in the mean range
Red: Asset is trading at a premium
Symbols (▲▲, ▲, △, ▽, ▼, ▼▼) provide additional detail about position within each range:
Double symbols (▲▲, ▼▼): Extreme levels
Solid symbols (▲, ▼): Strong moves
Hollow symbols (△, ▽): Moderate moves
Updates
The table updates every 15 minutes
Works on all timeframes while maintaining consistency
Position calculations are based on recent price action
Usage
This indicator is particularly useful for:
Cross-market analysis
Identifying relative value opportunities
Multi-timeframe market analysis
Understanding market correlations
Spotting potential reversals or continuations
Note
The indicator requires access to all listed symbols for full functionality. Some brokers may not provide access to all market
Legend:
VX Levels Color and Symbol Cheat Sheet
Upper Extension Range (Red)
▲▲ : (Extreme Premium)
▲ : (High Premium)
△ : (Moderate Premium)
Mean Range (Yellow)
△ : (Upper Mean)
▽ : (Lower Mean)
Lower Extension Range (Green)
▽ : (Moderate Discount)
▼ : (High Discount)
▼▼ : (Extreme Discount)
Previous Levels With Custom TimeZoneThe Previous Levels With Custom TimeZone indicator shows to users specifics price area which can be liquidity to take.
Users can determine the desired time zone to retrieve the correct daily, weekly and monthly values.
Several price area are shown with with indicator which are :
Daily Open Price
Daily Low Price
Daily High Price
Previous Daily Low Price
Previous Daily High Price
Previous Weekly Low Price
Previous Weekly High Price
Previous Monthly Low Price
Previous Monthly High Price
All price area are configurable to let user have specific color or line style for each area.
Here's some example :
Daily Open / High / Low
Previous Daily High / Low
Previous Weekly High / Low
Previous Monthly High / Low
RVOL Relative Volume - IntradayHello All,
Relative Volume is one of the most important indicators and Traders should check it while trading/analyzing. it is used to identify whether the volume flows are increasing or decreasing. Relative volume measures current volume in relation to the “usual” volume for this time of the day. What is considered “usual"? For that, we have to use a historical baseline known as the average daily volume. That means how much volume a security does on a daily basis over a defined period. (This scripts runs on the time frames greater or equal 1 minute and less than 1 day)
The common definition for real-time relative volume is: Current volume for this time of day / Average volume for this time of day. It does not mean taking the volume (for example) from 10:30 am to 10:45 am and comparing it to what it does from 10:30 am to 10:45 am every day. What it truly means is to compare cumulative volumes. Therefore, this is the precise definition of real-time relative volume:
Current cumulative volume up to this time of day / Average cumulative volume up to this time of day
What should we understand while checking RVOL;
- Relative volume tell us if volume flows are increasing or decreasing
- A high relative volume tells us that there is increased trading activity in a security today
- Increased volume flows often accompany higher volatility i.e. a significant price move
Let see an example:
P.S. if you want to get more info about RVOL/Relative Volume then you can search it on the net. While developing the script this was used as reference, you can also check it for more info.
Enjoy!
Previous Day and Week RangesI've designed the "Previous Day and Week Ranges" indicator to enhance your trading strategy by clearly displaying daily and weekly price levels. This tool shows Open-Close and High-Low ranges for both daily and weekly timeframes directly on your trading chart.
Key Features :
Potential Support and Resistance: The indicator highlights previous day and week ranges that may serve as key support or resistance levels in subsequent trading sessions.
Customizable Display Options: Offers the flexibility to show or hide daily and weekly ranges based on your trading needs.
Color Customization: Adjust the color settings to differentiate between upward and downward movements, enhancing visual clarity and chart readability.
This indicator is ideal for traders aiming to understand market dynamics better, offering insights into potential pivot points and zones of price stability or volatility.
Day/Week/Month Metrics (Zeiierman)█ Overview
The Day/Week/Month Metrics (Zeiierman) indicator is a powerful tool for traders looking to incorporate historical performance into their trading strategy. It computes statistical metrics related to the performance of a trading instrument on different time scales: daily, weekly, and monthly. Breaking down the performance into daily, weekly, and monthly metrics provides a granular view of the instrument's behavior.
The indicator requires the chart to be set on a daily timeframe.
█ Key Statistics
⚪ Day in month
The performance of financial markets can show variability across different days within a month. This phenomenon, often referred to as the "monthly effect" or "turn-of-the-month effect," suggests that certain days of the month, especially the first and last days, tend to exhibit higher than average returns in many stock markets around the world. This effect is attributed to various factors including payroll contributions, investment of monthly dividends, and psychological factors among traders and investors.
⚪ Edge
The Edge calculation identifies days within a month that consistently outperform the average monthly trading performance. It provides a statistical advantage by quantifying how often trading on these specific days yields better returns than the overall monthly average. This insight helps traders understand not just when returns might be higher, but also how reliable these patterns are over time. By focusing on days with a higher "Edge," traders can potentially increase their chances of success by aligning their strategies with historically more profitable days.
⚪ Month
Historically, the stock market has exhibited seasonal trends, with certain months showing distinct patterns of performance. One of the most well-documented patterns is the "Sell in May and go away" phenomenon, suggesting that the period from November to April has historically brought significantly stronger gains in many major stock indices compared to the period from May to October. This pattern highlights the potential impact of seasonal investor sentiment and activities on market performance.
⚪ Day in week
Various studies have identified the "day-of-the-week effect," where certain days of the week, particularly Monday and Friday, show different average returns compared to other weekdays. Historically, Mondays have been associated with lower or negative average returns in many markets, a phenomenon often linked to the settlement of trades from the previous week and negative news accumulation over the weekend. Fridays, on the other hand, might exhibit positive bias as investors adjust positions ahead of the weekend.
⚪ Week in month
The performance of markets can also vary within different weeks of the month, with some studies suggesting a "week of the month effect." Typically, the first and the last week of the month may show stronger performance compared to the middle weeks. This pattern can be influenced by factors such as the timing of economic reports, monthly investment flows, and options and futures expiration dates which tend to cluster around these periods, affecting investor behavior and market liquidity.
█ How It Works
⚪ Day in Month
For each day of the month (1-31), the script calculates the average percentage change between the opening and closing prices of a trading instrument. This metric helps identify which days have historically been more volatile or profitable.
It uses arrays to store the sum of percentage changes for each day and the total occurrences of each day to calculate the average percentage change.
⚪ Month
The script calculates the overall gain for each month (January-December) by comparing the closing price at the start of a month to the closing price at the end, expressed as a percentage. This metric offers insights into which months might offer better trading opportunities based on historical performance.
Monthly gains are tracked using arrays that store the sum of these gains for each month and the count of occurrences to calculate the average monthly gain.
⚪ Day in Week
Similar to the day in the month analysis, the script evaluates the average percentage change between the opening and closing prices for each day of the week (Monday-Sunday). This information can be used to assess which days of the week are typically more favorable for trading.
The script uses arrays to accumulate percentage changes and occurrences for each weekday, allowing for the calculation of average changes per day of the week.
⚪ Week in Month
The script assesses the performance of each week within a month, identifying the gain from the start to the end of each week, expressed as a percentage. This can help traders understand which weeks within a month may have historically presented better trading conditions.
It employs arrays to track the weekly gains and the number of weeks, using a counter to identify which week of the month it is (1-4), allowing for the calculation of average weekly gains.
█ How to Use
Traders can use this indicator to identify patterns or trends in the instrument's performance. For example, if a particular day of the week consistently shows a higher percentage of bullish closes, a trader might consider this in their strategy. Similarly, if certain months show stronger performance historically, this information could influence trading decisions.
Identifying High-Performance Days and Periods
Day in Month & Day in Week Analysis: By examining the average percentage change for each day of the month and week, traders can identify specific days that historically have shown higher volatility or profitability. This allows for targeted trading strategies, focusing on these high-performance days to maximize potential gains.
Month Analysis: Understanding which months have historically provided better returns enables traders to adjust their trading intensity or capital allocation in anticipation of seasonally stronger or weaker periods.
Week in Month Analysis: Identifying which weeks within a month have historically been more profitable can help traders plan their trades around these periods, potentially increasing their chances of success.
█ Settings
Enable or disable the types of statistics you want to display in the table.
Table Size: Users can select the size of the table displayed on the chart, ranging from "Tiny" to "Auto," which adjusts based on screen size.
Table Position: Users can choose the location of the table on the chart
-----------------
Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
DHL reversal indicator [promuckaj]DHL reversal indicator was developed as idea to mark interesting zones on the chart according to previous daily High/Low prices that in most scenarios could be a good point to open reversal scalp position.
Logic behind this is that if price is above previous daily high, or below previous daily low, with confluence of MA20 indicator will mark that zones with color. If price pullback and cross MA20 (at least with 80% with candles body) but still is out of previous daily high/low it will mark respective bars as confirmed potential signals with triangles.
Confirmed potential signals can be filtered with simple MACD, preferred with 1D timeframe for MACD, used as general bias.
Settings allow to change MA, MACD and colors as well as integrated alerts for potential confirmed signals for long/short.
Everyone enjoy and happy scalping!
MTF previous high and low quarter levelsDescription
An experimental script that prints quarter levels of the previous timeframe's high and low to the current timeframe. The idea is quite simple and is basically the Fibonacci pivoted on the previous high and low with quarter level settings (0,0.25,0.5,0.75,1 etc). The default setting is the previous daily high and low but can be customized on user discretion.
New quarter levels are printed after the close of the previous timeframe and open of the new timeframe (user's timeframe setting)
How To Use
Levels should not be used blindly. Levels can be used as confluence when aligned with high probability supply and demand zones, support, resistance, order blocks, and so on.
Credit to @HeWhoMustNotBeNamed for the Previous High/Low MTF indicator code and @mrbirman for the idea to put this together.
High/Mid/Low of the Previous Month, Week and Day + MAIntroducing the Ultimate Price Action Indicator
Take your trading to the next level with this feature-packed indicators. Designed to provide key price insights, this tool offers:
- Monthly, Weekly, and Daily Levels : Displays the High, Midpoint, and Low of the previous month, week, and day.
- Logarithmic Price Lines : Option to plot price levels logarithmically for enhanced accuracy.
- Customizable Labels : Display labels on price lines for better clarity. (This feature is optional.)
- Dual Moving Averages : Add two customizable Moving Averages (Simple, Exponential, or Weighted) directly on the price chart. (This feature is optional.)
This code combines features from the Moving Average Exponential and Daily Weekly Monthly Highs & Lows (sbtnc) indicators, with custom modifications to implement unique personal ideas.
Perfect for traders who want to combine precision with simplicity. Whether you're analyzing historical levels or integrating moving averages into your strategy, this indicator provides everything you need for informed decision-making.
To prevent change chart scale, right click on Price Scale and enable "Scale price chart only"
Bitcoin SMA channels - quorraThis indicator is specifically designed to identify potential Bitcoin bottom zones based on historical data and market trends. By analyzing price cycles and key support levels, it helps traders and investors make informed decisions. This tool is tailored for optimal use on higher timeframes like the daily chart. (Don't forget to ensure your chart is set to logarithmic)
1. Simple Moving Average (SMA) Calculation and Gradient Coloring
The script begins by calculating the 350-period SMA (sma350), which serves as the foundation for identifying the market's overall trend. To make the SMA visually intuitive, a gradient color function is implemented. This function changes the SMA's color based on whether the current price (close) is above or below the SMA.
If the price is above the SMA, the line appears in gray.
If the price is below the SMA, the line takes on a darker red shade.
This gradient coloring helps traders quickly gauge market sentiment and momentum, as the SMA effectively acts as a dynamic trend line.
2. Fibonacci-Based Multipliers for SMA Levels
The indicator computes several levels based on Fibonacci multipliers of the 350-period SMA. These levels provide additional layers of insight into potential support and resistance zones. The multipliers range from small values like 0.144 (indicating closer proximity to the SMA) to larger values like 9 (representing distant extensions).
These Fibonacci levels are plotted using hidden lines, ensuring that the chart remains uncluttered while still allowing for strategic visualization through filled zones. For instance:
Levels like SMA x 0.144 to SMA x 0.355 are closer to the SMA and are categorized as potential buy zones.
Levels like SMA x 2 to SMA x 9 extend further and are considered sell zones.
3. Filling Areas to Visualize Zones
To enhance the visual representation, the script uses fill() functions to color the regions between specific Fibonacci levels:
Buy Zones: These areas are filled with a semi-transparent gray color (#5a5a5a) to indicate levels where prices are likely to bounce upward.
Sell Zones: Conversely, these areas are filled with a semi-transparent red color (#5f0000), signaling regions where prices may encounter resistance and reverse downward.
This layered approach helps traders identify actionable price ranges without overwhelming them with excessive visual elements.
4. Pivot Points and Their Visualization
The script includes a pivot point system for identifying local highs and lows. Depending on the selected source (High/Low or Close/Open), it calculates pivot highs and lows over a specified period (prd).
Pivot highs (ph) are marked above bars using downward-facing labels.
Pivot lows (pl) are marked below bars using upward-facing labels.
The pivot points are adjustable via user inputs, allowing traders to fine-tune the detection of significant price swings.
5. Support and Resistance Channel Analysis
A key feature of this indicator is its ability to identify and display support and resistance (S/R) levels. The script calculates the maximum allowable width of an S/R channel as a percentage of the price range over a 300-bar window. It then groups pivot points within these channels to derive high and low boundaries.
Resistance Levels: Represented by the upper bounds of channels and highlighted with a red color.
Support Levels: Represented by the lower bounds of channels and highlighted with a gray color.
These levels are dynamically adjusted based on user-defined parameters such as channel width, maximum S/R levels, and strength.
6. Advanced Input Customization
The indicator provides several user-configurable inputs to adapt it to different trading strategies:
Pivot Period (prd): Determines the sensitivity of pivot point calculations.
Channel Width: Controls the percentage width of S/R zones.
Maximum S/R Levels: Sets the maximum number of S/R zones displayed.
Line Style and Color Settings: Allows customization of the visual appearance of lines and labels.
7. Strength Filtering for S/R Levels
To ensure the reliability of identified S/R levels, the script incorporates a filtering mechanism based on strength. Strength is determined by the number of pivot points that fall within a channel. Levels with insufficient strength are excluded, ensuring that only significant S/R zones are displayed.
8. Practical Applications
This indicator can be applied in various trading strategies:
Trend Identification: The SMA and its gradient coloring provide a clear indication of the market's prevailing trend.
Support/Resistance Trading: The Fibonacci levels and S/R zones help traders identify potential entry and exit points.
Risk Management: By visualizing key levels, the indicator assists traders in setting stop-loss and take-profit levels effectively.
This script combines multiple technical analysis techniques into a single, visually intuitive tool. It is particularly useful for Bitcoin traders seeking to enhance their decision-making process by leveraging both trend and level-based analysis.
Although this indicator is specifically designed for Bitcoin, it can also be applied to stocks or altcoins. It works best on longer timeframes, such as the daily chart. When the price reaches specific support levels, it may be wise to activate a DCA bot or confirm the bottom using other indicators. This approach helps enhance decision-making and ensures a more strategic entry or exit from positions.
52 Week High/Low FibonacciThe primary purpose of this indicator is to calculate and plot the 52-week high and low prices along with the Fibonacci retracement levels on the price chart. Fibonacci levels are commonly used in trading to identify potential support, resistance, and price reversal points.
First, the script initializes the Fibonacci levels and their corresponding colors, which will be used to plot the levels on the chart. Next, it calculates the 52-week high and low prices by finding the highest and lowest prices over the last 252 trading days, approximately equivalent to one year. Then, it identifies the overall trend direction by comparing the number of bars since the highest high and the lowest low. If the highest high is more recent, the trend is considered downwards; if the lowest low is more recent, the trend is upwards.
The script then plots the Fibonacci retracement levels on the chart, using horizontal lines at the respective price levels. It also creates labels for each level, displaying the percentage and the price value. Additionally, it draws a line connecting the 52-week high and low prices, providing a visual representation of the price range during the 52-week period.
Pros of this indicator include:
-Automatic calculation and plotting of Fibonacci levels, saving time for traders
-Clear trend identification based on 52-week high and low prices
-Visually appealing and easy-to-read chart representation with color-coded levels
-Provides insight into potential price reversal areas based on widely used Fibonacci levels
Cons of this indicator include:
-Only works on daily timeframes, limiting its usefulness for intraday and weekly traders
-Assumes that the trend will continue in the same direction, which may not always be accurate in real-world markets
-Does not provide explicit buy or sell signals, leaving the trading decision-making process up to the trader
-Solely relies on Fibonacci levels, which may not always be accurate; it is recommended to use other technical indicators or strategies alongside this indicator for a comprehensive trading approach
In conclusion, the '52 Week High Low Fibonacci' indicator is a valuable tool for traders interested in using Fibonacci levels for identifying potential price reversal points. By automatically calculating and plotting these levels based on 52-week high and low prices, the indicator provides a clear, color-coded visual aid, which can be especially helpful for traders who base their strategies on these levels.
However, it's worth noting that this indicator is limited to daily timeframes and doesn't provide explicit buy or sell signals, requiring traders to incorporate their own analysis and judgement in their decision-making process. The indicator also operates on the assumption of trend continuation, which may not always hold true.
While it's a beneficial tool, relying solely on this indicator for trading decisions may not be advisable. It's best used in conjunction with other indicators and trading strategies, providing a more balanced and comprehensive approach to trading in the financial markets. As always, risk management should be a key part of any trading strategy.
**YOUR INSIGHTFUL FEEDBACK OR SUGGESTIONS FOR REVISIONS TO THIS CODE ARE HIGHLY APPRECIATED. PLEASE FEEL FREE TO SHARE YOUR THOUGHTS TO FOSTER ITS CONTINUAL IMPROVEMENT**
Bollinger Band with Moving Average & Pin BarsThis indicator was specifically built to be used for trading the Scalpius Trading System promoted by @scottphillipstrading. Additionally I've added Daily and Weekly Highs, Lows and Central Pivot lines
The central indicators used in the Scalpius trading system which are included here are: The Bollinger Band, chart plotting of Pin Bars (Hammers & Shooting Stars) and an Exponential Moving Average.
In the settings the user has the option select EMA, SMA or WMA along with desired length, the default settings are 8EMA as per the Scalpius system rules. Also the Bollinger Band settings can be amended by the user and the Pin Bar chart plots and daily + weekly high and low plots can be removed by the user.
EOD TraderMy EOD (End of Day) system for trading on the daily timeframe with minimum stress. Just pair the built-in alerts with the bot of your choice and then let the indicator do the rest. It'll determine the current trend, filter out as much noise as possible and then take you from long to short.
There are options to toggle the following:
Auto fibonacci levels with alerts for the look-back period of your choosing
Auto support and resistance with alerts
Alerts for the price closing above/below the 50MA
A coloured background to show the trend direction (green = up, red = down)
The fib and support levels can be handy when trying to determine when best to take profit or even exit the trade entirely.
Important: I personally use Heikin Ashi candles with this script to further filter entries. An option is available within the script settings to toggle this on/off should you wish to do the same.
This is a premium script. Please DM me for access.