LRS-Strategy: 200-EMA Buffer & Long/Short Signals LRS-Strategy: 200-EMA Buffer & Long/Short Signals
This indicator is designed to help traders implement the Leveraged Return Strategy (LRS) using the 200-day Exponential Moving Average (EMA) as a key trend-following signal. The indicator offers clear long and short signals by analyzing the price movements relative to the 200-day EMA, enhanced by customizable buffer zones for increased precision.
Key Features:
200-Day EMA: The main trend indicator. When the price is above the 200-day EMA, the market is considered in an uptrend, and when it is below, it indicates a downtrend.
Customizable Buffer Zones: Users can define a percentage buffer around the 200-day EMA (default is 3%). The upper and lower buffer zones help filter out noise and prevent premature signals.
Precise Long/Short Signals:
Long Signal: Triggered when the price moves from below the lower buffer zone, crosses the 200-day EMA, and then breaks above the upper buffer zone.
Short Signal: Triggered when the price moves from above the upper buffer zone, crosses the 200-day EMA, and then breaks below the lower buffer zone.
Alternating Signals: Ensures that a new signal (long or short) is only generated after the opposite signal has been triggered, preventing multiple signals of the same type without a reversal.
Clear Visual Aids: The indicator displays the 200-day EMA and buffer zones on the chart, along with buy (long) and sell (short) signals. This makes it easy to track trends and time entries/exits.
How to Use:
Long Entry: Look for the price to move below the lower buffer, cross the 200-day EMA from below, and then break out of the upper buffer to confirm a long signal.
Short Entry: Look for the price to move above the upper buffer, cross below the 200-day EMA, and then break below the lower buffer to confirm a short signal.
This indicator is perfect for traders who prefer a structured, trend-following approach, using clear rules to minimize noise and identify meaningful long or short opportunities.
사이클
Bitcoin Thermocap [InvestorUnknown]The Bitcoin Thermocap indicator is designed to analyze Bitcoin's market data using a variant of the "Thermocap Multiple" concept from BitBo. This indicator offers several modes for interpreting Bitcoin's historical block and price data, aiding investors and analysts in understanding long-term market dynamics and generating potential investing signals.
Key Features:
1. Thermocap Calculation
The core of the indicator is based on the Thermocap Multiple, which evaluates Bitcoin's value relative to its cumulative historical blocks mined.
Thermocap Formula:
Source: Bitbo
btc_price = request.security("INDEX:BTCUSD", "1D", close)
BTC_BLOCKSMINED = request.security("BTC_BLOCKSMINED", "D", close)
// Variable to store the cumulative historical blocks
var float historical_blocks = na
// Initialize historical blocks on the first bar
if (na(historical_blocks))
historical_blocks := 0.0
// Update the cumulative blocks for each day
historical_blocks += BTC_BLOCKSMINED * btc_price
// Calculate the Thermocap
float thermocap = ((btc_price / historical_blocks) * 1000000) // the multiplication is just for better visualization
2. Multiple Display Modes:
The indicator can display data in four different modes, offering flexibility in interpretation:
RAW: Displays the raw Thermocap value.
LOG: Applies the logarithm of the Thermocap to visualize long-term trends more effectively, especially for large-value fluctuations.
MA Oscillator: Shows the ratio between the Thermocap and its moving average (MA). Users can choose between Simple Moving Average (SMA) or Exponential Moving Average (EMA) for smoothing.
Normalized MA Oscillator: Provides a normalized version of the MA Oscillator using a dynamic min-max rescaling technique.
3. Normalization and Rescaling
The indicator normalizes the Thermocap Oscillator values between user-defined limits, allowing for easier interpretation. The normalization process decays over time, with values shrinking towards zero, providing more relevance to recent data.
Negative values can be allowed or restricted based on user preferences.
f_rescale(float value, float min, float max, float limit, bool negatives) =>
((limit * (negatives ? 2 : 1)) * (value - min) / (max - min)) - (negatives ? limit : 0)
f_max_min_normalized_oscillator(float x) =>
float oscillator = x
var float min = na
var float max = na
if (oscillator > max or na(max)) and time >= normalization_start_date
max := oscillator
if (min > oscillator or na(min)) and time >= normalization_start_date
min := oscillator
if time >= normalization_start_date
max := max * decay
min := min * decay
normalized_oscillator = f_rescale(x, min, max, lim, neg)
Usage
The Bitcoin Thermocap indicator is ideal for long-term market analysis, particularly for investors seeking to assess Bitcoin's relative value based on mining activity and price dynamics. The different display modes and customization options make it versatile for a variety of market conditions, helping users to:
Identify periods of overvaluation or undervaluation.
Generate potential buy/sell signals based on the MA Oscillator and its normalized version.
By leveraging this Thermocap-based analysis, users can gain a deeper understanding of Bitcoin's historical and current market position, helping to inform investment strategies.
SPY $ectors | by Octopu$🏭 SPY Sectors with % Variance and Ticker Status| by Octopu$
What is SPY Sectors?
They are 11 SPY Sectors based on activity, which groups together their specific markets as well as the composition about the Tickers on the Sector.
For example: information technology, consumer discretionary, consumer staples, health care, financials, industrials, communication services, energy, , materials, utilities, real estate.
It is an useful resource for a trading system:
Can be used to follow up with tickers/sectors up and down moves and percentages as well as overall status and market sentiment as a whole.
AMEX:SPY
This indicator however should not be used as a standalone tool.
(The combination of factors relies on your own knowledge about Confluence Factors along with your Due Diligence)
This indicator is not an advice to buy or sell securities in any form.
ANY Ticker. ANY Timeframe.
Features:
• ALL Sector Track
• Up and Down Status
• Green and Red Colors
• % Indication
Options:
• Customization
• Location
Notes:
v1.0
Indicator release.
Changes and updates can come in the future for additional functionalities or per requests. Follow and Stay Tuned!
Did you like it? Please Support and Shoot me a message! I'd appreciate if you dropped by to say thanks! Thank you.
- Octopu$
🐙
Duo Multi-Time Period Charts# Duo Multi-Time Period Charts
## Description
The Duo Multi-Time Period Charts indicator is a versatile tool designed to visualize price action across two different timeframes simultaneously. It overlays color-coded boxes on your chart, representing the price range for each period in both timeframes. This allows traders to easily identify trends, support, and resistance levels across multiple time horizons.
## Key Features
- Displays two user-defined timeframes (default: Daily and Weekly)
- Customizable calculation methods: High/Low Range, True Range, or Heikin Ashi Range
- Color-coded boxes for easy trend identification (bullish/bearish)
- Optional labels showing open and/or close prices
- Fully customizable colors for boxes and labels
## How It Works
1. The indicator creates boxes for each period in both selected timeframes.
2. Box colors change based on whether the close is higher (bullish) or lower (bearish) than the open.
3. Box heights are determined by the selected calculation method:
- High/Low Range: Uses the period's high and low
- True Range: Incorporates the previous close for more volatility representation
- Heikin Ashi Range: Uses a modified candlestick calculation for smoother trends
4. Optional labels display open and/or close prices for each period.
## Use Cases
- Multi-timeframe analysis: Compare short-term and long-term trends at a glance
- Support and resistance identification: Easily spot key levels across different timeframes
- Trend confirmation: Use the color-coding to confirm trend direction and strength
- Volatility assessment: Compare box sizes to gauge relative volatility between timeframes
## Customization
Users can customize various aspects of the indicator, including:
- Timeframes for analysis
- Calculation method for price ranges
- Color schemes for bullish and bearish periods in both timeframes
- Label content and colors
- Visibility options for boxes and labels
## Recommendation
For optimal clarity, it is recommended to enable price labels for only one timeframe. Displaying labels for both timeframes simultaneously may lead to cluttered and difficult-to-read charts, especially on shorter timeframes or when the two selected periods are close in duration.
This indicator is perfect for traders who want to incorporate multi-timeframe analysis into their trading strategy without cluttering their charts with multiple indicators. By following the label recommendation, users can maintain a clean chart while still benefiting from the multi-timeframe insights provided by the indicator.
ORB - Alerts, VWAP and MACD Checks, Extended Fib Levels
ORB Range Alerter with Shading, VWAP Check, MACD Check, and Extended Fibonacci Levels for TP – Fully Customizable
This indicator is designed to give you a comprehensive analysis of the Opening Range Breakout (ORB) combined with advanced conditions based on VWAP and MACD indicators, along with Extended Fibonacci Levels for both long and short TP positions.
Key Features:
Opening Range Breakout (ORB):
Defines the opening range at the market open (9:30 AM by default) based on your chart timeframe and shades it for visibility.
The high and low of the first candle after the open are plotted on the chart, creating a breakout range that traders can use to identify potential long or short positions.
VWAP Condition (Optional):
This indicator includes the option to enforce the VWAP (Volume-Weighted Average Price) as a condition for entering trades.
- Longs will only trigger if the price is above VWAP (when enabled).
- Shorts will only trigger if the price is below VWAP (when enabled).
Customizable : You can enable or disable the VWAP condition through a simple checkbox in the indicator’s settings.
MACD Condition (Optional):
Includes an optional MACD (Moving Average Convergence Divergence) condition.
- Longs will only trigger if the MACD line is above 0 and the signal line, providing confirmation of bullish momentum.
- Shorts will only trigger if the MACD line is below 0 and the signal line, indicating bearish momentum.
Customizable : You can enable or disable the MACD condition through a checkbox in the indicator’s settings, allowing you to trade with or without the MACD confirmation.
Fibonacci Extensions for Profit Targets:
Automatically calculates Fibonacci extension levels based on the ORB range for TP levels.
These levels provide key areas for potential profit-taking or reversal points.
Fibonacci extensions are plotted only after a confirmed breakout, either long or short.
The extensions include 127.2%, 161.8%, 200%, 261.8%, 423.6%, and 685.4%, offering a comprehensive set of targets for different trading strategies.
Shading of ORB Range:
The ORB high and low are visually emphasized on the chart with a shaded area for easy identification.
The shading is semi-transparent to help keep your chart clean and easy to read.
Customizable Timeframe:
The ORB range is defined based on the time of day (default is 9:30 AM to 4:00 PM), but you can adjust the timeframe to suit different trading sessions or markets.
Alerts for Breakouts:
Built-in alerts notify you when price crosses above or below the ORB high or low, along with the optional VWAP and MACD conditions.
Alerts can be used to create automated notifications or even execute automated trades based on your chosen settings.
How to Use:
Long Trade Example: When the price crosses above the ORB high, VWAP is above the price, and MACD shows bullish momentum (if these conditions are enabled), a potential long entry is triggered. You can use the Fibonacci extensions for profit targets.
Short Trade Example: When the price crosses below the ORB low, VWAP is below the price, and MACD confirms bearish momentum (if these conditions are enabled), a short entry is triggered. Fibonacci levels for the short position can guide your exit strategy.
Flexibility: You can enable or disable both VWAP and MACD conditions based on your trading style. This flexibility allows the indicator to adapt to different market conditions and strategies.
Customization Options:
Enable/Disable VWAP Condition: Decide if you want to include VWAP as a trade filter.
Enable/Disable MACD Condition: Choose whether to require MACD as confirmation for trade entries.
Adjust ORB Timeframe: Customize the time range for defining the ORB based on the market you're trading.
Fibonacci Extensions: Visualize key profit targets using Fibonacci extensions, which are automatically calculated and displayed after a breakout.
Time-based Vertical LinesThe Time-Based Vertical Line Script is a Pine Script tool designed to plot vertical lines at specific times during the trading day. The script allows users to mark important time-based events or price movement patterns by plotting fully customizable vertical lines on the chart. Each line can be configured with a specific time, color, width, and style, providing a clear visual reference for key moments throughout the trading session.
Key Features:
Custom Time Inputs:
Users can specify the hour and minute for each vertical line to mark crucial times, such as the opening or closing of a market session, or events like news releases.
The script can accommodate up to 24 vertical lines, each with individual time settings.
Customizable Appearance:
Color: Select different colors for each line to visually distinguish between important events or trading sessions.
Width: Adjust the thickness of the vertical lines to emphasize specific times.
Style: Choose from solid, dashed, or dotted lines for further customization.
No Built-in UTC Offset:
Important: This script does not automatically adjust for time zones or UTC offsets. The user must manually set the time for each vertical line based on the platform's server time or the desired trading session time.
If you are in a different time zone, you will need to calculate the time difference between your local time and the platform's time zone (which could be UTC or any other time zone).
For example, if the platform is set to UTC and you are in New York (UTC-4 during daylight savings), you will need to manually adjust your time inputs to match the time zone difference.
Static Time Configuration: The times you input for the vertical lines are fixed, meaning they won’t automatically adjust based on daylight savings or time zone shifts. You'll need to manually reconfigure the times if such changes occur.
Use Cases:
Session Marking: Mark the beginning and end of specific market sessions like New York, London, or Asian trading hours.
Event Monitoring: Plot lines to mark important economic events or news releases, ensuring you're prepared for potential market movements.
Strategy Tracking: For traders using time-sensitive strategies, such as the ICT (Inner Circle Trader) models, the script can help you highlight critical time windows for potential setups.
Important Note on Time Zone:
Since the script doesn't automatically apply a UTC offset, users need to figure out the correct time to input based on their own time zone and the platform's time zone. For example:
If you're in New York (UTC-4) and want to mark the New York session open at 9:30 AM, but your platform runs on UTC time, you would input 13:30 as the hour for the vertical line (since 9:30 AM UTC-4 corresponds to 13:30 UTC).
Example:
If your platform’s time is set to UTC, and you want to mark an event that happens at 10:00 AM in your local time zone (UTC-5), you'll need to set the vertical line to 15:00 (because 10:00 AM UTC-5 is 15:00 in UTC).
This means you'll need to calculate the offset based on your location and input the adjusted time into the script manually.
Forex Macro Metrics [MacroGlide]"Forex Macro Metrics " is a powerful tool for analyzing macroeconomic metrics, designed to help traders make more informed decisions in the forex market. This indicator displays key economic indicators such as interest rates, money supply (M1 and M2), unemployment rate, and government debt for various currencies and their pairs, allowing users to assess the macroeconomic differences between the base and quote currencies.
Key Features:
• Interest Rates Display: Includes interest rates for major world currencies with the ability to show the differential between the base and quote currencies.
• Money Supply Analysis (M1 and M2): Displays the money supply for both the base and quote currencies, including differential calculations.
• Unemployment Rate: Compares the unemployment rates between currencies, showing the differences on the chart.
• Government Debt: Shows government debt levels for the base and quote currencies with differential calculations.
• Customizable Options: Enable/disable specific metrics and adjust colors for better visual clarity.
How to Use:
• Select a Currency Pair: Apply the indicator to your chart and choose the desired currency pair. The indicator will automatically load the relevant data for the base and quote currencies.
• Adjust Display Settings: Use the indicator settings to enable or disable specific metrics and their differentials.
• Analyze the Data: Compare the economic conditions of the two currencies through the charts and identify potential trading opportunities based on macroeconomic differences.
Methodology:
The indicator uses economic data available through TradingView tickers to calculate the values of the base and quote currencies. Differentials are calculated by subtracting the values of the quote currency from the base currency, allowing for a visual assessment of their differences. The displayed data includes historical changes, helping to identify trends and potential reversal points.
Originality and Usefulness:
"Forex Macro Metrics " is a unique tool that combines several key macroeconomic indicators into one comprehensive indicator. This simplifies the analysis process for traders looking to understand the fundamental differences between currencies. Using this approach provides an advantage in assessing long-term trends and potential shifts in currency pairs driven by changes in macroeconomic conditions.
Charts:
The indicator displays data in the form of lines and areas on the chart, with interest rates shown as lines for the base and quote currencies, accompanied by an area representing the differential. For money supply (M1 and M2), lines are drawn for each currency, with areas highlighting the differences. Similarly, the unemployment rate and government debt are displayed with clear visual separation of the data and their differentials, making it easy to compare and analyze the macroeconomic conditions of the currencies involved.
Enjoy the game!
MAC-Z Indicator with Slope-Based Coloring - Vondor XMAC-Z Indicator with Trend-Based Slope Filtering and Background Shading
Author: Vondor
Description:
The MAC-Z Indicator is an advanced technical analysis tool designed to assess momentum and trend strength using a combination of Z-score and MACD principles. The indicator applies a calculated MAC-Z value, which is derived from a weighted combination of a VWAP Z-score and MACD-style moving averages. The inclusion of a short-term Simple Moving Average (SMA) on the MAC-Z helps identify potential crossovers, providing signals of momentum changes.
Additionally, this enhanced version incorporates trend-based slope filtering, which adjusts the coloring and background of the chart based on the slope of the MAC-Z SMA (SMAMACZ). The filter helps to distinguish between uptrends, downtrends, and flat trends. Dynamic color coding is used to visualize the direction of the trend:
Green: Uptrend, indicating positive momentum.
Red: Downtrend, indicating negative momentum.
Yellow: Flat or sideways trend.
How It Works:
MAC-Z Calculation: The indicator computes a MAC-Z value, blending the Z-score (a standardized measure of relative price) and MACD (trend-following momentum).
SMA Slope Filter: A short-term SMA on the MAC-Z value smooths the signal, and the slope of this SMA determines trend direction. The slope's magnitude is compared against a threshold to determine whether it is flat, up, or down.
Visual Cues: The indicator uses color coding for the MAC-Z SMA line and applies background shading to highlight uptrend, downtrend, and flat trend conditions.
Inputs:
Z-Score Length (lengthz): Defines the period for calculating the VWAP Z-score.
Standard Deviation Length (lengthStdev): The lookback period for standard deviation in the MACD calculation.
MAC-Z Constant A & B (A, B): Constants used to adjust the impact of the Z-score and MACD in the final MAC-Z formula.
Laguerre Smoothing (useLag, gamma): Optional smoothing using the Laguerre filter to reduce noise.
SMA MAC-Z Length (SZlen): Length of the short SMA applied to the MAC-Z to create crossover signals.
Flat Slope Threshold: Defines the sensitivity for detecting flat trends (default is 0.08).
Usage:
The MAC-Z Indicator is particularly useful for identifying trend reversals, momentum shifts, and spotting overbought/oversold conditions. By filtering out noise using the SMA slope-based coloring, it can help avoid false signals in periods of small oscillations.
Best Timeframes:
This indicator is most effective on longer time periods, such as 4-hour or daily charts, where price movements are more stable and less prone to short-term market noise. Using it on lower timeframes may result in frequent false signals and more "choppy" market conditions.
The background shading and color-coded lines make it easy to spot trend changes, helping traders make informed decisions about entering or exiting trades based on longer-term momentum shifts.
Conclusion:
The MAC-Z Indicator with trend filtering is a powerful tool for identifying momentum-driven market trends. It combines the strengths of Z-scores, MACD, and moving average crossovers to provide clear signals, making it an excellent choice for traders who focus on longer timeframes, such as daily or 4-hour charts, to capture significant trend movements.
Time-input Lines [MFX]THE LINES
The indicator plots a horizontal price line at a specified hour and minute (default: 9:30 - Equities Open). This line extends for a predefined number of minutes (default: 60 minutes - Opening Range Full Spectrum). Additionally, the indicator can plot two vertical lines: one at the selected start time and another at the end of the horizontal line.
STYLE
Both the horizontal and vertical lines are fully customizable, allowing adjustments to color, style, and width. For a cleaner, minimalist chart, any of these lines can be disabled.
TIMEZONE
By default, the indicator operates in the New York time zone, but this can be modified by unchecking the option and specifying a custom offset relative to UTC/GMT. The default offset is +2, corresponding to CEST (Central European Summer Time, UTC/GMT+2). The offset can be adjusted with up to 15-minute precision, where 0.25 represents a quarter of an hour.
S&R Tracker [CHE]Dynamic S&R Tracker
1. Introduction to the Tool
Purpose:
The Dynamic S&R Tracker is a powerful TradingView tool designed to automatically detect and display support and resistance levels across multiple timeframes. It dynamically adjusts based on the current chart’s timeframe, making it easier for traders to identify key price levels for both shortterm and longterm analysis.
Key Features:
Dynamic adjustment of support and resistance levels based on realtime market conditions
Simultaneous visualization of support and resistance for two different timeframes
Automatic selection of optimal timeframes for accurate and efficient analysis
2. Functionality
Automatic Timeframe Selection:
The Dynamic S&R Tracker uses a smart function to automatically adjust the analysis timeframe based on the market’s current conditions. It selects the appropriate intervals (e.g., 1 hour, 1 day, 1 month) for displaying support and resistance levels, reducing the need for manual intervention.
Support and Resistance Identification:
The tool calculates and identifies key pivot highs and lows, which act as support and resistance levels. These levels are displayed for two timeframes at once, giving a comprehensive view of the market's shortterm and longterm trends.
3. Benefits
Efficiency:
With automatic adjustments, traders save time by not having to manually change timeframes or recalculate levels.
Enhanced Market Insight:
By analyzing two timeframes simultaneously, the tool provides a broader market perspective, helping traders spot potential reversal points and breakouts.
Customizability:
Though dynamic, the Dynamic S&R Tracker offers flexibility for manual adjustments, allowing traders to finetune the analysis based on personal preferences or market strategies.
4. Visualization
Support and Resistance Levels:
The tool uses clear visual markers—green for support and red for resistance—making it easy to spot critical price zones on the chart.
Informative Timeframe Display:
The tracker includes a customizable information box that shows the selected timeframes used in the analysis, keeping the user informed at all times.
5. Conclusion
The Dynamic S&R Tracker is an essential tool for traders seeking an automated, precise, and flexible way to analyze support and resistance across multiple timeframes. By offering dynamic adjustments and clear visual feedback, it simplifies the decisionmaking process and provides deeper market insights.
Ideal for traders who need a streamlined and adaptable solution to better navigate market trends.
Revenue GridDescription:
The Revenue Grid indicator helps traders and investors visualize a stock’s valuation by plotting horizontal lines based on its price-to-sales (P/S) ratio. This tool displays how the stock price compares to multiples of its total revenue per share, giving a clear perspective on valuation benchmarks.
Fundamental Concept:
The price-to-sales ratio compares a company’s stock price to its revenue per share. It’s used to evaluate whether a stock is overvalued or undervalued based on its revenue.
This indicator offers a unique way to view this ratio by applying Fibonacci multiples to the revenue per share. It plots lines at these multiples to show how the stock price measures up against different valuation levels.
How It Works:
Data Inputs:
Total Revenue (TR): The company’s revenue over the past twelve months.
Total Shares Outstanding (TSO): The total number of shares in circulation.
Calculation:
Calculates the revenue per share (TR/TSO).
Plots lines at fixed Fibonacci multiples (e.g., 1x, 2x, 3x, 5x, 8x, 13x) of the revenue per share value.
How to Use:
1. Add the "Revenue Grid" indicator to your chart by searching for it in the indicator library and applying it.
2. Observe the lines plotted on the chart. If these lines are trending upwards, it indicates that the revenue is increasing.
3. Analyze how historical prices trend relative to these lines. Look for periods where the stock price supports around specific multiples, you can easily get a sense of overvaluation or undervaluation in certain periods.
Use this information to guide further analysis and investment decisions.
Benefits:
1. Clear Valuation View: Easily see how the company’s revenue translates into stock price levels.
2. Investment Insight: Identify if the stock price is lagging behind revenue growth, which might signal a buying opportunity.
3. Historical Context: Understand how the market has historically valued the company and assess the current valuation.
Do let me know your feedbacks in comments. Happy Investing :)
ICT Time Levels Description:
The Time Levels Indicator is designed to enhance trading decisions by marking significant price levels at key times throughout the trading day. This indicator specifically focuses on three crucial times: 8:30 AM, 9:30 AM, and 10:00 AM (UTC-4), which are often associated with significant market movements.
Key Features:
Customizable Time Levels: Users can toggle the display of price levels at 8:30 AM, 9:30 AM, and 10:00 AM. Each level is marked with a line on the chart, which helps traders visually identify these critical points.
Style and Color Options: Customize the appearance of each time level with different line styles (solid, dotted, dashed) and colors to match your chart preferences.
Dynamic Labeling: The indicator automatically places a label at the current price level for each time, making it easier to identify and track these levels as the day progresses.
Real-Time Updates: As the trading session unfolds, the indicator adjusts the lines and labels to reflect the latest price data at the specified times.
How It Works:
At the specified times (8:30 AM, 9:30 AM, and 10:00 AM), the indicator captures the opening price and plots a horizontal line at that level.
These lines serve as reference points, helping traders to observe how the price interacts with these key levels throughout the day.
The lines and labels are fully customizable, allowing users to adapt the indicator to their trading style and visual preferences.
Use Cases:
Market Open Strategies: Traders can use the 9:30 AM level to monitor the opening price of the New York Stock Exchange (NYSE), which often sets the tone for the trading session.
Morning Volatility: The 8:30 AM and 10:00 AM levels can be useful for identifying potential support and resistance levels during periods of increased volatility, such as economic data releases or after the market opens.
This indicator is particularly useful for intraday traders who focus on morning trading sessions and want to have a clear visual reference to guide their decisions.
Note: This script is designed to be simple yet effective, providing traders with essential information without cluttering the chart.
Season ChartThis overlay is built on the idea of seasonal charts.
It is constructed by taking the percentage change from each close and recording that change for every trading day of any year that is within the sample. We then take the average for each day of all the years.
These averages are then cumulated to create the chart as per traditional seasonal chart construction.
I have also taken a trimmed mean of the averages to try and dampen the impact one off moves that may have a dramatic effect on the daily averages (for example the crash to $0 in oil in April 2020) however, even removing 10% may not guarantee one off moves won’t affect the average.
The construction of the chart is completely dependent on the data provided by TradingView and so it is recommended that if longer sample sizes are used, the user go back to check that the years contained within the sample have a full history. Some data may have large gaps in their history and this can distort the seasonality readings.
I have attempted to align the chart with the first trading day of the year, but the start of some months may be out by a day or two as it becomes difficult to track all weeks with differing market holidays closures each year and this in turn varies the total amount of actual trading days in each year as well as leap years.
This overlay is designed for the Daily time frame only and will not work on Crypto or any other instrument that trades outside of usual business weekdays. Future updates may include the ability to adapt to Crypto instruments.
All feedback and comments welcome!
ICT Intraday Timeline [neo.|]ICT Intraday Timeline is a script that aims to cleanly display key times that the "Inner Circle Trader" often refers to during the day on a separate pane in your Tradingview chart. While using it, you can clearly see the time it is currently in New York time, as well as your own through Tradingview as usual, as well as relevant times such as the lunch times, Silver Bullet times, and Asian range time.
By using this indicator it is simpler to consider what every time is doing and the effect it has on your current bias, for example: you may want to look at the 8:30 am open which is where news usually comes out, if not you can use 9:30 am for formulating trades. The AM SB is a time for when the "Silver Bullet (ICT)" setup can be found and executed, as it refines a specific range and targets inefficiencies and allows liquidity to form for which it comes back for, meaning it may be a better time for you to enter a trade, these are just examples of what you can look for, and how considering time can help you come up with and refine trade ideas.
Other times which are included are the:
Asia Range: You can mark out the highs and lows which occur during this time to use as liquidity later.
Midnight Open: On equities price will often interact with the midnight opening price, meaning it is an important time to consider.
London Open SB and Premarket SB: As mentioned previously you can find the "Silver Bullet" setup in here.
NY Lunch & London Lunch: Lunch times usually mean less volume therefore you may see less probable trades at this time.
AM SB and PM SB: Once again, times where you can potentially find more probable trades.
You can also easily customize any of the colors such as the SB (Silver Bullet) times, London lunch and NY Lunch times, or the Asia range or line colors to your preference and individual chart style.
Prometheus StochasticThe Stochastic indicator is a popular indicator developed in the 1950s. It is designed to identify overbought and oversold scenarios on different assets. A value above 80 is considered overbought and a value below 20 is considered oversold.
The formula is as follows:
%k = ((Close - Low_i) / (High_i / Low_i)) * 100
Low_i and High_i represent the lowest low and highest high of the selected period.
The Prometheus version takes a slightly different approach:
%k = ((High - Lowest_Close_i) / (High_i / Low_i)) * 100
Using the Current High minus the Lowest Close provides us with a more robust range that can be slightly more sensitive to moves and provide a different perspective.
Code:
stoch_func(src_close, src_high, src_low, length) =>
100 * (src_high - ta.lowest(src_close, length)) / (ta.highest(src_high, length) - ta.lowest(src_low, length))
This is the function that returns our Stochastic indicator.
What period do we use for the calculation? Let Prometheus handle that, we utilize a Sum of Squared Error calculation to find what lookback values can be most useful for a trader. How we do it is we calculate a Simple Moving Average or SMA and the indicator using a lot of different bars back values. Then if there is an event, characterized by the indicator crossing above 80 or below 20, we subtract the close by the SMA and square it. If there is no event we return a big value, we want the error to be as small as possible. Because we loop over every value for bars back, we get the value with the smallest error. We also do this for the smoothing values.
// Function to calculate SSE for a given combination of N, K, and D
sse_calc(_N, _K, _D) =>
SMA = ta.sma(close, _N)
sf = stoch_func(close, high, low, _N)
k = ta.sma(sf, _K)
d = ta.sma(k, _D)
var float error = na
if ta.crossover(d, 80) or ta.crossunder(d, 20)
error := math.pow(close - SMA, 2)
else
error := 999999999999999999999999999999999999999
error
var int best_N = na
var int best_K = na
var int best_D = na
var float min_SSE = na
// Loop through all combinations of N, K, and D
for N in N_range
for K in K_range
for D in D_range
sse = sse_calc(N, K, D)
if (na(min_SSE) or sse < min_SSE)
min_SSE := sse
best_N := N
best_K := K
best_D := D
int N_opt = na
int K_opt = na
int D_opt = na
if c_lkb_bool == false
N_opt := best_N
K_opt := best_K
D_opt := best_D
This is the section where the best lookback values are calculated.
We provide the option to use this self optimizer or to use your own lookback values.
Here is an example on the daily AMEX:SPY chart. The top Stochastic is the value with the SSE calculation, the bottom is with a fixed 14, 1, 3 input values. We see in the candles with boxes where some potential differences and trades may be.
This is another comparison of the SSE functionality and the fixed lookbacks on the NYSE:PLTR 1 day chart.
Differences may be more apparent on lower time frame charts.
We encourage traders to not follow indicators blindly, none are 100% accurate. SSE does not guarantee that the values generated will be the best for a given moment in time. Please comment on any desired updates, all criticism is welcome!
Enhanced Local Polynomial Regression [Yosiet]Local Polynomial Regression (LPR) is an advanced statistical method that offers a flexible approach to estimating the underlying trend in financial time series data.
The Mathematical Explanation
The core idea of LPR is to fit a polynomial of degree p at each point x using weighted least squares. The weight of each data point decreases with its distance from x, controlled by a kernel function and a bandwidth parameter.
The general form of the local polynomial estimator is:
β̂(x) = argmin Σ K((Xi - x) / h) (Yi - β0 - β1(Xi - x) - ... - βp(Xi - x)^p)^2
Where:
β̂(x) is the vector of estimated coefficients
K is the kernel function
h is the bandwidth
Xi and Yi are the predictor and response variables
p is the degree of the polynomial
Our implementation uses the Epanechnikov kernel:
K(u) = 3/4 * (1 - u^2) for |u| ≤ 1, 0 otherwise
The Implementation
This script implements LPR for the easier way to interpret its values with the following key components:
Input Parameters: Can adjust the lookback period, bandwidth, and polynomial degree.
Kernel Function: The Epanechnikov kernel is used for weighting.
LPR Function: Implements the core algorithm using matrix operations.
Signal Generation: Generates buy/sell signals based on crossovers of smoothed price and LPR results.
How to Use
Apply the indicator to your chart in TradingView.
Adjust the input parameters:
Lookback Period: Controls how many past bars are considered.
Bandwidth: Affects the smoothness of the regression line.
Polynomial Degree: Determines the complexity of the local fit.
Signal Smoothing Length: Adjusts the responsiveness of buy/sell signals.
Monitor buy/sell signals for potential trade entries.
Limitations
Sensitivity to Parameters: The choice of bandwidth and polynomial degree significantly impacts the results.
Lag: Like all trend-following indicators, LPR may lag behind rapid price movements.
Edge Effects: The indicator may be less reliable at the edges of the data (recent bars).
Recommendations
Parameter Optimization: Experiment with different lookback periods, bandwidths, and polynomial degrees to find the best fit for your trading style and timeframe.
Combine with Other Indicators: Use LPR in conjunction with momentum oscillators or volume indicators for confirmation.
Multiple Timeframes: Apply LPR on different timeframes to gain a more comprehensive view of the trend.
Avoid Overfitting: Be cautious of using high polynomial degrees, as they may lead to overfitting on historical data.
Consider Market Conditions: LPR works best in trending markets; be aware of its limitations in ranging or highly volatile conditions.
Backtest Thoroughly: Always backtest strategies based on LPR across different market conditions before live trading.
Conclusion
Local Polynomial Regression offers a sophisticated approach to trend analysis in financial markets. By providing a flexible, adaptive trend line, it can help traders identify potential entry and exit points with greater precision than traditional moving averages. However, like all technical indicators, it should be used as part of a comprehensive trading strategy that includes proper risk management and consideration of fundamental factors.
if you have an strategy or idea and need to make it real through an indicator or trading bot, you can DM or comment
MACD with DPO Strategy by NGExplanation of the MACD with DPO Strategy:
MACD (Moving Average Convergence Divergence):
The MACD is a trend-following indicator that shows the relationship between two moving averages of a price.
In this script:
We calculate the MACD line by subtracting the slow moving average (typically 26-period EMA) from the fast moving average (typically 12-period EMA).
The Signal line is calculated as a 9-period EMA of the MACD line.
The Histogram is the difference between the MACD line and the Signal line, indicating the momentum of the price trend.
Buy Condition: The script generates a buy signal when the MACD histogram crosses from negative to positive (indicating a bullish momentum) and DPO is also positive.
Sell Condition: The script generates a sell signal when the MACD histogram crosses from positive to negative (indicating a bearish momentum) and DPO is also negative.
DPO (Detrended Price Oscillator):
The DPO removes long-term trends from prices, making it easier to identify shorter-term cycles or oscillations.
In this script:
We calculate the DPO by subtracting a shifted simple moving average (SMA) from the close price. The shifting period depends on half the specified period.
We also calculate the DPO SMA as a 30-period EMA of the DPO values.
DPO Color: The DPO line is colored green when the DPO is above zero (indicating upward momentum) and red when it is below zero (indicating downward momentum). The histogram is also colored based on whether the DPO is positive or negative.
Plotting and Alerts:
The script plots the MACD, Signal, and Histogram on the chart.
Additionally, it plots the DPO and its SMA with different colors depending on whether the DPO is above or below zero.
Buy Signal: A green arrow labeled "BUY" is plotted below the bar when both MACD and DPO indicate a bullish condition.
Sell Signal: A red arrow labeled "SELL" is plotted above the bar when both MACD and DPO indicate a bearish condition.
Background colors are used to highlight the chart whenever a buy or sell condition occurs.
The script also includes alerts for both buy and sell signals, allowing users to set notifications when conditions are met.
How to Use:
Identify Buy and Sell Signals:
The script generates a Buy signal when:
The MACD histogram crosses from negative to positive (bullish momentum), and
The DPO is above zero (indicating upward momentum).
The script generates a Sell signal when:
The MACD histogram crosses from positive to negative (bearish momentum), and
The DPO is below zero (indicating downward momentum).
Chart Visualization:
The MACD histogram and Signal line help visualize the momentum and potential trend reversal.
The DPO and DPO SMA help visualize the shorter-term price cycles.
The signals (Buy and Sell) will be plotted on the chart with arrows indicating entry points.
Customization:
You can adjust the MACD and DPO parameters (such as fast_length, slow_length, period_) to fit your trading style or market conditions.
The script can be used in any timeframe depending on your strategy (e.g., intraday trading or longer-term trading).
Example Scenario:
If you're looking for potential buy opportunities, wait for the script to generate a buy signal (green arrow) where the MACD histogram has shifted to positive, and DPO is also in the green (above zero). This signals that both momentum and cycle direction are aligned for a potential upward movement.
Conversely, for sell opportunities, wait for the red arrow where MACD momentum is turning negative and DPO is also negative (below zero), indicating a bearish condition.
This combination of MACD and DPO allows traders to identify stronger and more reliable entry/exit points by confirming the trend with the MACD and detecting shorter-term price cycles with the DPO.
Greer BuyZone toolGreer BuyZone Tool
Description:
The Greer BuyZone Tool is a custom Pine Script indicator designed to help identify potential long-term investment opportunities by marking BuyZones on the chart. This tool utilizes the Aroon indicator in combination with Fibonacci numbers to define periods where the asset might be a good candidate for dollar-cost averaging.
Features:
BuyZone Detection: The script identifies and marks the beginning and end of a BuyZone with vertical lines and labels.
Visual Markers: A red vertical line and label indicate the start of a BuyZone, while a green vertical line and label mark the end of a BuyZone.
Aroon Indicator Calculation: Utilizes the Aroon indicator with a Fibonacci length (233) to determine key price levels.
How to Use:
Setup: Add the Greer BuyZone Tool to your TradingView chart. It will display vertical lines and labels marking the BuyZone periods.
BuyZone Identification: Use the red lines and labels ("BZ Begins ->>") to identify the start of a BuyZone, and the green lines and labels ("<<- BZ Ends") to determine when the BuyZone ends.
Long-Term Investment: This tool is intended for long-term investing and dollar-cost averaging strategies, not for day trading.
Disclaimer:
This script is provided for informational purposes only and is not intended as financial advice. The Greer BuyZone Tool is designed to assist in identifying potential long-term investment opportunities and is not suitable for day trading. The use of this tool involves risk, and there is no guarantee of profitability. Users are advised to conduct their own research and consult with a qualified financial advisor before making any investment decisions. The creator of this script assumes no liability for any losses or damages resulting from the use of this indicator.
Author: Sean Lee Greer
Date: 9/1/2024
Realized Price Oscillator [InvestorUnknown]Overview
The Realized Price Oscillator is a fundamental analysis tool designed to assess Bitcoin's price dynamics relative to its realized price. The indicator calculates various metrics using data from the realized market capitalization and total supply. It applies normalization techniques to scale values within a specified range, helping investors identify overbought or oversold conditions over the long time horizon. The oscillator also features DCA-based signals to assist in strategic market entry and exit.
Key Features
1. Normalization and Scaling:
The indicator scales values using a limit that can be adjusted for decimal precision (Limit). It allows for both positive and negative values, providing flexibility in analysis.
Decay functionality is included to progressively reduce the extreme values over time, ensuring recent data impacts the oscillator more than older data.
f_rescale(float value, float min, float max, float limit, bool negatives) =>
((limit * (negatives ? 2 : 1)) * (value - min) / (max - min)) - (negatives ? limit : 0)
2. Realized Price Oscillator Calculation:
Realized Price Oscillator is computed using logarithmic differences between the open, high, low, and close prices and the realized price. This helps in identifying how the current market price compares with the average cost basis of the Bitcoin supply.
f_realized_price_oscillator(float realized_price) =>
rpo_o = math.log(open / realized_price)
rpo_h = math.log(high / realized_price)
rpo_l = math.log(low / realized_price)
rpo_c = math.log(close / realized_price)
3. Oscillator Normalization:
The normalized oscillator calculates the range between the maximum and minimum values over time. It adjusts the oscillator values based on these bounds, considering a decay factor. This normalized range assists in consistent signal generation.
normalized_oscillator(float x, float b) =>
float oscillator = b
var float min = na
var float max = na
if (oscillator > max or na(max)) and time >= normalization_start_date
max := oscillator
if (min > oscillator or na(min)) and time >= normalization_start_date
min := oscillator
if time >= normalization_start_date
max := max * decay
min := min * decay
normalized_oscillator = f_rescale(x, min, max, lim, neg)
4. Dollar-Cost Averaging (DCA) Signals:
DCA-based signals are generated using user-defined thresholds (DCA IN and DCA OUT). The oscillator triggers buy signals when the normalized low value falls below the DCA IN threshold and sell signals when the normalized high value exceeds the DCA OUT threshold.
5. Visual Representation:
The indicator plots candlestick representations of the normalized Realized Price Oscillator values (open, high, low, close) over time, starting from a specified date (plot_start_date).
Colors are dynamically adjusted using a gradient to represent the state of the oscillator, ranging from green (buy zone) to red (sell zone). Background and bar colors also change based on DCA conditions.
How It Works
Data Sourcing: Realized price data is sourced using Bitcoin’s realized market cap (BTC_MARKETCAPREAL) and total supply (BTC_SUPPLY).
Realized Price Oscillator Metrics: Logarithmic differences between price and realized price are computed to generate Realized Price Oscillator values for open, high, low, and close.
Normalization: The indicator rescales the oscillator values based on a defined limit, adjusting for negative values if allowed. It employs a decay factor to reduce the influence of historical extremes.
Conclusion
The Realized Price Oscillator is a sophisticated tool that combines market price analysis with realized price metrics to offer a robust framework for understanding Bitcoin's valuation. By leveraging normalization techniques and DCA thresholds, it provides actionable insights for long-term investing strategies.
Triad QT - BetaQT Profiler is the ultimate tool for Quarterly Theory traders. It's great both for trading and backtesting purposes.
The indicator includes the following features:
- accurate plotting of quarters for cycles from micro to quadrennial, consistent across different markets
- plotting previous quarter high and previous quarter low with possibility of projecting it into next quarters
- plotting DFR for each cycle in convenient, clear way
- plotting True Opens with possibility of looking up higher cycle quarters on lower timeframe charts (you can look up even TYO on micro cycle!) in consistent manner
- plotting SSMTs both for present, as well as historical charts in vey fast fashion - priceless for backtesting and trading purposes
- 3 SSMT detection ways : wick above previous quarter high, close above previous quarter's high, close above previous quarter's highest close (vice versa for lows)
- possibility of choosing the triad you're using from drop down list, as well as setting up your custom triad
- fast performance due to unique coding solutions
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Brought to you by Triad Trading Community
EmKa
Introducing the "Smart Money Trap" (SMT) IndicatorThe "Smart Money Trap" (SMT) indicator is a powerful tool designed for simultaneous analysis of multiple currency pairs and their correlations. This indicator allows you to effortlessly visualize divergences and correlations between various currency pairs on a single chart, enhancing your ability to perform in-depth technical analysis.
Key Features:
Multi-Currency Comparison:
The SMT indicator enables you to view the following currency pairs simultaneously:
EUR/USD (Euro to US Dollar)
GBP/USD (British Pound to US Dollar)
USD/JPY (US Dollar to Japanese Yen)
DXY (US Dollar Index)
Correlation and Divergence Analysis:
By overlaying these currency pairs, the SMT indicator helps you identify correlations and divergences between them, which can signal potential trading opportunities.
Customizable Timeframes:
The indicator automatically adjusts to the current chart’s timeframe, ensuring that your analysis is always in sync with the selected period.
Enhanced Decision-Making:
With the ability to visualize multiple currency pairs and their relationships, you can make more informed trading decisions and better understand market dynamics.
The SMT indicator is a valuable tool for traders looking to track and analyze currency pair interactions and identify trading signals based on their correlations and divergences.
Horizontal Lines 0.5, BY ROSHAN SINGHThis indicator identify support and resistance to trade in 1min time frame, based of fib 0.5 level, on 15 min time frame find major high and low means major swing, low will be our start level and high will be our end level input in setting, substract high and end level and now divide answer with 2 till the daily volatility of a index or stock, if saying about nifty suppose nifty daily travel minimum for 65 pts then interval will be 65 input in settings, now all horizontals lines means support and level will be plotted on chart, buy on support, sell on resistance
Landry Light with Moving AverageLandry Light with Moving Average
Overview:
This Pine Script, titled "Landry Light with Moving Average", visualizes the relationship between price action and a chosen moving average (MA) over time. It helps users easily identify periods where the price stays consistently above or below the moving average, which can be a useful indicator of bullish or bearish trends.
Key Features:
Moving Average Type Selection:
The script allows users to choose between two types of moving averages:
Exponential Moving Average (EMA)
Simple Moving Average (SMA)
This is done via a user input option, enabling traders to tailor the indicator to their preferred analysis method.
Moving Average Length:
Users can set the length of the moving average (default is 21 periods). This allows customization based on the trader's time frame, whether short-term or long-term analysis.
Dynamic Moving Average Color:
The moving average line changes color based on the relationship between the price and the MA:
Green: Price is consistently above the MA (bullish condition).
Red: Price is consistently below the MA (bearish condition).
Blue: Price is crossing or close to the MA (neutral or indecisive condition).
Cumulative Days Above/Below MA:
The script tracks and displays the number of consecutive days the price remains above or below the moving average:
Cumulative Days Above: Shown as a green histogram above the zero line.
Cumulative Days Below: Shown as a red histogram below the zero line.
This feature helps users identify sustained trends or potential reversals.
Real-time Labels:
The script generates dynamic labels that display the count of cumulative days the price has stayed above or below the moving average.
These labels are positioned near the moving average on the chart, providing an easy reference for traders.
How Users Can Benefit:
Trend Identification:
By visually representing how long the price stays above or below a key moving average, traders can identify strong bullish or bearish trends. This can inform entry and exit points.
Visualizing Market Sentiment:
The colored moving average line and histogram help traders quickly assess market sentiment. A prolonged green MA line suggests a strong uptrend, while a prolonged red line indicates a downtrend.
Adaptability:
With customizable moving average types and lengths, the indicator can be tailored to fit various trading strategies, whether for day trading, swing trading, or long-term investing.
Reversal Signals:
A shift from cumulative days above to cumulative days below (or vice versa) can serve as an early signal of a potential market reversal, allowing traders to adjust their positions accordingly.
Simplified Decision-Making:
The combination of visual cues (colors, histograms, and labels) simplifies decision-making, allowing traders to focus on trend strength rather than complex calculations.
Usage:
To use this script:
Add the Indicator to Your Chart:
Select the desired moving average type and length.
The script will plot the moving average, colored by the trend, and display cumulative days above or below it.
Interpret the Signals:
Use the histogram and labels to gauge the strength of the trend.
Monitor color changes in the moving average for potential trend reversals.
Incorporate into Your Strategy:
Combine this indicator with other tools (e.g., volume analysis, RSI) to confirm signals and refine your trading strategy.
This indicator is particularly useful for traders who follow the "Landry Light" concept, emphasizing the importance of price staying above or below a moving average to determine trend strength.
Auto Fib Retracement [Syafiq.Jr]This TradingView script is an advanced indicator titled "Auto Fib Retracement Neo ." It's designed to automatically plot Fibonacci retracement levels on a price chart, aiding in technical analysis for traders. Here's a breakdown of its functionality:
Core Functionality :
The script identifies pivot points (highs and lows) on a chart and draws Fibonacci retracement lines based on these points. The lines are dynamic, updating in real-time as the market progresses.
Customizable Inputs :
Depth: Determines the minimum number of bars considered in the pivot point calculation.
Deviation: Adjusts the sensitivity of the script in identifying new pivots.
Fibonacci Levels: Allows users to select which retracement levels (236, 382, 500, 618, 786, 886) are displayed on the chart.
Visual Settings: Customization options include the colors and styles of pivot points, trend lines, and the retracement meter.
Pivot and Line Calculation:
The script calculates the deviation between the current price and the last pivot point. If the deviation exceeds a certain threshold, it identifies a new pivot and draws a trend line between the previous pivot and the current one.
Visual Aids :
The indicator provides extensive visual aids, including pivot points marked with circles, dashed trend lines connecting pivots, and labels displaying additional information like price and delta rate.
Performance :
Optimized to handle large datasets, the script is configured to process up to 4000 bars and can manage numerous lines and labels efficiently.
Background and Appearance :
The script allows for customization of the chart background color, enhancing visibility based on user preferences.
In essence, this script is a powerful tool for traders who rely on Fibonacci retracement levels to identify potential support and resistance areas, allowing for a more automated and visually guided approach to market analysis.
