Golden Death Cross IndicatorThis indicator uses moving average to detect both a Golden Cross and Death Cross on any timeframe but is recommended for use on the daily and 24 hour timeframes only.
We have also provided instructions on how to create alerts for these indicators below.
Happy Trading!
Moving Averages: We’ll use Simple Moving Averages (SMA). The 50-day SMA looks at the average price over the last 50 periods, and the 200-day SMA does the same for 200 periods.
Crossovers: We’ll check when the 50-day SMA crosses above (Golden Cross) or below the 200-day SMA (Death Cross).
Set Up Alerts
Now, let’s make sure you get notified when a cross happens:
Open the Alerts Menu
On the chart, click the bell icon (top right of the screen) to create an alert.
Configure the Golden Cross Alert
In the “Condition” dropdown, select “Cross Alerts” (the name of your script).
Below that, select “Golden Cross.”
Set “Once Per Bar Close” in the next dropdown (this ensures it only triggers after the period ends, avoiding false signals mid-bar).
Choose how you want to be notified (e.g., popup, email, or phone app—set this under “Notifications”).
Name the alert (e.g., “Golden Cross Alert”) and click “Create.”
Configure the Death Cross Alert
Click the bell icon again to create a second alert.
Condition: “Cross Alerts” > “Death Cross.”
Set “Once Per Bar Close” again.
Choose your notification method.
Name it (e.g., “Death Cross Alert”) and click “Create.”
Komut dosyalarını "alert" için ara
IU 4 Bar UP StrategyIU 4 Bar UP Strategy
The IU 4 Bar UP Strategy is a trend-following strategy designed to identify and execute long trades during strong bullish momentum, combined with confirmation from the SuperTrend indicator. This strategy is suitable for traders aiming to capitalize on sustained upward market movements.
Features :
1. SuperTrend Confirmation: Incorporates the SuperTrend indicator as a dynamic support/resistance line to filter trades in the direction of the trend.
2. 4 Consecutive Bullish Bars: Detects a series of 4 bullish candles as a signal for strong upward momentum, ensuring robust trade setups.
3. Dynamic Alerts: Sends alerts for trade entries and exits to keep traders informed.
4. Visual Enhancements:
- Plots the SuperTrend indicator on the chart.
- Changes the background color while a trade is active for easy visualization.
Inputs :
- SuperTrend ATR Period: The period used to calculate the Average True Range (ATR) for the SuperTrend indicator.
- SuperTrend ATR Factor: The multiplier for the ATR in the SuperTrend calculation.
Entry Conditions :
A long entry is triggered when:
1. The last 4 consecutive candles are bullish (closing prices are higher than opening prices).
2. The current price is above the SuperTrend line.
3. The strategy is not already in a position.
4. The bar is confirmed (not a partially formed bar).
When all these conditions are met, the strategy enters a long position and provides an alert:
"Long Entry triggered"
Exit Conditions :
The strategy exits the long position when:
1. The closing price drops below the SuperTrend line.
2. An alert is generated: "Close the long Trade"
Visualization :
- The SuperTrend line is plotted, dynamically colored:
- Green when the trend is bullish.
- Red when the trend is bearish.
- The background color turns semi-transparent green while a trade is active, indicating a long position.
Do use proper risk management while using this strategy.
Supertrend with Correct Y-axis Scaling OLEG_SLSThe functionality of the script:
1. Supertrend Calculation:
-The trend (Supertrend line) is updated dynamically:
-If the price is above the previous trend, the line follows the upper limit.
-If the price is lower, the line follows the lower boundary.
2. Calculation of the Supertrend for the higher timeframe:
-The function is used to calculate the Supertrend for the hourly, regardless of the current timeframe on the chart.
3. Buy and Sell Signals:
-Buy signal: When the price crosses the Supertrend line up and is above the Supertrend line.
-A sales signal: When the price crosses the Supertrend line down and is below the Supertrend line.
4. Display on the chart
-The Supertrend line is displayed:
-Green if the price is above the Supertrend line.
-Red if the price is below the Supertrend line.
-The Supertrend line for the hourly timeframe is displayed in blue.
5. Alerts
Two types of alerts are created:
-Buy Alert: When there is a buy signal.
-Sell Alert: When there is a sell signal.
Features and recommendations:
-Supertrend works best in trending markets. In a sideways movement, it can give false signals.
-Check the signals on multiple timeframes for confirmation.
-Add additional indicators (for example, RSI or MACD) to filter the signals.
-Test the strategy on historical data before using it in real trading.
_________________________________________________________________________________
Функционал скрипта:
1. Расчет Supertrend:
-Тренд (линия Supertrend) обновляется динамически:
-Если цена выше предыдущего тренда, линия следует за верхней границей.
-Если цена ниже, линия следует за нижней границей.
2. Расчет Supertrend для старшего таймфрейма:
-Используется функция чтобы рассчитать Supertrend для часового,независимо от текущего таймфрейма на графике.
3. Сигналы покупки и продажи:
-Сигнал покупки: Когда цена пересекает линию Supertrend вверх и находится выше линии Supertrend.
-Сигнал продажи: Когда цена пересекает линию Supertrend вниз и находится ниже линии Supertrend.
4. Отображение на графике
-Линия Supertrend отображается:
-Зеленым, если цена выше линии Supertrend.
-Красным, если цена ниже линии Supertrend.
-Линия Supertrend для часового таймфрейма отображается синим цветом.
5. Оповещения
Создаются два типа оповещений:
-Buy Alert: Когда возникает сигнал на покупку.
-Sell Alert: Когда возникает сигнал на продажу.
Особенности и рекомендации:
-Supertrend лучше всего работает в трендовых рынках. В боковом движении может давать ложные сигналы.
-Проверяйте сигналы на нескольких таймфреймах для подтверждения.
-Добавьте дополнительные индикаторы (например, RSI или MACD) для фильтрации сигналов.
-Тестируйте стратегию на исторических данных перед использованием в реальной торговле.
Bull Bear Candles with Volume ProfileUser Guide for Bull Bear Candles Indicator with Keltner Channels
Author: NellyN
Introduction
This indicator helps identify potential bullish and bearish trends in the market by analyzing buying and selling volume over two configurable timeframes. It calculates the percentage of buying and selling volume and displays the current market condition based on two moving averages for 2 periods.
Key Features
• Volume Analysis : Calculates Buy and Sell Volume for two configurable timeframes (e.g., 5 min, 15 min, 15 min. and 1 hour, etc.) and displays them as percentages.
• Moving Averages : Uses one Moving Average (MA) for two different time periods to identify trends (uptrend when shorter-term MA is above longer-term MA). You can also choose other Moving Average types like SMA, EMA, WMA, RMA, VWMA, or HMA.
• Colored Candles : Candles are colored green for bullish conditions, red for bearish conditions, and gray for neutral conditions.
• Market Condition Labels : Displays labels in table-view indicating the current market condition based on Buy and Sell Volume (Very Bullish, Very Bearish, Bullish/Bearish Retracement, Chop).
• Alerts: Generates alerts for potential buy and sell signals based on indicator conditions (Note: Enable alerts in the indicator settings).
• Visual Signals: Provides visual signals through colored candles and market condition labels in addition to alerts.
Input Parameters
• Source: Close price (default) or Heikin Ashi
• Timeframe: Select the timeframe for price and volume data used in the indicator (e.g., Daily, Hourly).
• Colored Candles On: Enable (True) or disable (False) coloring candles based on market conditions.
• Enable Alerts: Enable (True) or disable (False) alerts for buy/sell signals.
• Length of MA: Sets the length for the MAs used in trend identification (minimum 1).
• Lookback Period Vol. 1 & 2: Define the timeframes used to calculate buying and selling volume and the MA calculation (e.g., 5 min, 15 min).
Understanding the Outputs
• Cloud Fill: The area between two MAs is filled with a color that reflects the trend (green for uptrend, red for downtrend).
• Table: Shows Buy Volume, Sell Volume, Buy Percentage, Sell Percentage, and the current Market Condition Labels. (If you decide to see them uncomment them from the code simply removing the // in front of the code)
• Colored Candles and Market Condition Labels: Look for green candles and bullish labels for potential buying opportunities, and vice versa for red candles and bearish labels.
Bullish green label appears when short-term MA is above long-term MA AND Buy Volume percentage is greater than 50%.
Red cross for exiting long entry appears when we have bearish volume OR bearish crossover of the MA for the 2 periods.
Bearish red label appears when short-term MA is below long-term MA AND Buy Volume percentage is less than 50%.
Green cross for exiting short entry appears when we have bullish volume OR bullish crossover of the MA for the 2 periods.
• Bullish/Bearish Retracement: The moving averages indicate a potential trend reversal, while the Buy Volume percentage suggests a continuation of the prior trend. The candle color may be green, red, or gray depending on the current price position relative to the moving averages.
• Chop (Gray Candle): The moving averages are flat and the Buy Volume percentage is not significantly above or below 50%.
• Buy/Sell Alerts: The indicator generates alerts based on specific conditions, but these should be used in conjunction with other trading strategies and careful risk management.
Important Notes
• This indicator is for informational purposes only and should not be considered financial advice. Back-test the indicator with historical data to understand its performance before using it for live trading.
• Combine this indicator with other technical analysis tools.
Pivot Points LIVE [CHE]Title:
Pivot Points LIVE Indicator
Subtitle:
Advanced Pivot Point Analysis for Real-Time Trading
Presented by:
Chervolino
Date:
September 24, 2024
Introduction
What are Pivot Points?
Definition:
Pivot Points are technical analysis indicators used to determine potential support and resistance levels in financial markets.
Purpose:
They help traders identify possible price reversal points and make informed trading decisions.
Overview of Pivot Points LIVE :
A comprehensive indicator designed for real-time pivot point analysis.
Offers advanced features for enhanced trading strategies.
Key Features
Pivot Points LIVE Includes:
Dynamic Pivot Highs and Lows:
Automatically detects and plots pivot high (HH, LH) and pivot low (HL, LL) points.
Customizable Visualization:
Multiple options to display markers, price labels, and support/resistance levels.
Fractal Breakouts:
Identifies and marks breakout and breakdown events with symbols.
Line Connection Modes:
Choose between "All Separate" or "Sequential" modes for connecting pivot points.
Pivot Extension Lines:
Extends lines from the latest pivot point to the current bar for trend analysis.
Alerts:
Configurable alerts for breakout and breakdown events.
Inputs and Configuration
Grouping Inputs for Easy Customization:
Source / Length Left / Length Right:
Pivot High Source: High price by default.
Pivot Low Source: Low price by default.
Left and Right Lengths: Define the number of bars to the left and right for pivot detection.
Colors: Customizable colors for pivot high and low markers.
Options:
Display Settings:
Show HH, LL, LH, HL markers and price labels.
Display support/resistance level extensions.
Option to show levels as a fractal chaos channel.
Enable fractal breakout/down symbols.
Line Connection Mode:
Choose between "All Separate" or "Sequential" for connecting lines.
Line Management:
Set maximum number of lines to display.
Customize line colors, widths, and styles.
Pivot Extension Line:
Visibility: Toggle the display of the last pivot extension line.
Customization: Colors, styles, and width for extension lines.
How It Works - Calculating Pivot Points
Pivot High and Pivot Low Detection:
Pivot High (PH):
Identified when a high price is higher than a specified number of bars to its left and right.
Pivot Low (PL):
Identified when a low price is lower than a specified number of bars to its left and right.
Higher Highs, Lower Highs, Higher Lows, Lower Lows:
Higher High (HH): Current PH is higher than the previous PH.
Lower High (LH): Current PH is lower than the previous PH.
Higher Low (HL): Current PL is higher than the previous PL.
Lower Low (LL): Current PL is lower than the previous PL.
Visual Elements
Markers and Labels:
Shapes:
HH and LH: Downward triangles above the bar.
HL and LL: Upward triangles below the bar.
Labels:
Optionally display the price levels of HH, LH, HL, and LL on the chart.
Support and Resistance Levels:
Extensions:
Lines extending from pivot points to indicate potential support and resistance zones.
Chaos Channels:
Display levels as a fractal chaos channel for enhanced trend analysis.
Fractal Breakout Symbols:
Buy Signals: Upward triangles below the bar.
Sell Signals: Downward triangles above the bar.
Slide 7: Line Connection Modes
All Separate Mode:
Description:
Connects pivot highs with pivot highs and pivot lows with pivot lows separately.
Use Case:
Ideal for traders who want to analyze highs and lows independently.
Sequential Mode:
Description:
Connects all pivot points in the order they occur, regardless of being high or low.
Use Case:
Suitable for identifying overall trend direction and momentum.
Pivot Extension Lines
Purpose:
Trend Continuation:
Visualize the continuation of the latest pivot point's price level.
Customization:
Colors:
Differentiate between bullish and bearish extensions.
Styles:
Solid, dashed, or dotted lines based on user preference.
Width:
Adjustable line thickness for better visibility.
Dynamic Updates:
The extension line updates in real-time as new bars form, providing ongoing trend insights.
Alerts and Notifications
Configurable Alerts:
Fractal Break Arrow:
Triggered when a breakout or breakdown occurs.
Long and Short Signals:
Specific alerts for bullish breakouts (Long) and bearish breakdowns (Short).
Benefits:
Timely Notifications:
Stay informed of critical market movements without constant monitoring.
Automated Trading Strategies:
Integrate with trading bots or automated systems for executing trades based on alerts.
Customization and Optimization
User-Friendly Inputs:
Adjustable Parameters:
Tailor pivot detection sensitivity with left and right lengths.
Color and Style Settings:
Match the indicator aesthetics to personal or platform preferences.
Line Management:
Maximum Lines Displayed:
Prevent chart clutter by limiting the number of lines.
Dynamic Line Handling:
Automatically manage and delete old lines to maintain chart clarity.
Flexibility:
Adapt to Different Markets:
Suitable for various financial instruments including stocks, forex, and cryptocurrencies.
Scalability:
Efficiently handles up to 500 labels and 100 lines for comprehensive analysis.
Practical Use Cases
Identifying Key Support and Resistance:
Entry and Exit Points:
Use pivot levels to determine optimal trade entry and exit points.
Trend Confirmation:
Validate market trends through the connection of pivot points.
Breakout and Breakdown Strategies:
Trading Breakouts:
Enter long positions when price breaks above pivot highs.
Trading Breakdowns:
Enter short positions when price breaks below pivot lows.
Risk Management:
Setting Stop-Loss and Take-Profit Levels:
Utilize pivot levels to place strategic stop-loss and take-profit orders.
Slide 12: Benefits for Traders
Real-Time Analysis:
Provides up-to-date pivot points for timely decision-making.
Enhanced Visualization:
Clear markers and lines improve chart readability and analysis efficiency.
Customizable and Flexible:
Adapt the indicator to fit various trading styles and strategies.
Automated Alerts:
Stay ahead with instant notifications on key market events.
Comprehensive Toolset:
Combines pivot points with fractal analysis for deeper market insights.
Conclusion
Pivot Points LIVE is a robust and versatile indicator designed to enhance your trading strategy through real-time pivot point analysis. With its advanced features, customizable settings, and automated alerts, it equips traders with the tools needed to identify key market levels, execute timely trades, and manage risks effectively.
Ready to Elevate Your Trading?
Explore Pivot Points LIVE and integrate it into your trading toolkit today!
Q&A
Questions?
Feel free to ask any questions or request further demonstrations of the Pivot Points LIVE indicator.
Adaptive Trend Classification: Moving Averages [InvestorUnknown]Adaptive Trend Classification: Moving Averages
Overview
The Adaptive Trend Classification (ATC) Moving Averages indicator is a robust and adaptable investing tool designed to provide dynamic signals based on various types of moving averages and their lengths. This indicator incorporates multiple layers of adaptability to enhance its effectiveness in various market conditions.
Key Features
Adaptability of Moving Average Types and Lengths: The indicator utilizes different types of moving averages (EMA, HMA, WMA, DEMA, LSMA, KAMA) with customizable lengths to adjust to market conditions.
Dynamic Weighting Based on Performance: ] Weights are assigned to each moving average based on the equity they generate, with considerations for a cutout period and decay rate to manage (reduce) the influence of past performances.
Exponential Growth Adjustment: The influence of recent performance is enhanced through an adjustable exponential growth factor, ensuring that more recent data has a greater impact on the signal.
Calibration Mode: Allows users to fine-tune the indicator settings for specific signal periods and backtesting, ensuring optimized performance.
Visualization Options: Multiple customization options for plotting moving averages, color bars, and signal arrows, enhancing the clarity of the visual output.
Alerts: Configurable alert settings to notify users based on specific moving average crossovers or the average signal.
User Inputs
Adaptability Settings
λ (Lambda): Specifies the growth rate for exponential growth calculations.
Decay (%): Determines the rate of depreciation applied to the equity over time.
CutOut Period: Sets the period after which equity calculations start, allowing for a focus on specific time ranges.
Robustness Lengths: Defines the range of robustness for equity calculation with options for Narrow, Medium, or Wide adjustments.
Long/Short Threshold: Sets thresholds for long and short signals.
Calculation Source: The data source used for calculations (e.g., close price).
Moving Averages Settings
Lengths and Weights: Allows customization of lengths and initial weights for each moving average type (EMA, HMA, WMA, DEMA, LSMA, KAMA).
Calibration Mode
Calibration Mode: Enables calibration for fine-tuning inputs.
Calibrate: Specifies which moving average type to calibrate.
Strategy View: Shifts entries and exits by one bar for non-repainting backtesting.
Calculation Logic
Rate of Change (R): Calculates the rate of change in the price.
Set of Moving Averages: Generates multiple moving averages with different lengths for each type.
diflen(length) =>
int L1 = na, int L_1 = na
int L2 = na, int L_2 = na
int L3 = na, int L_3 = na
int L4 = na, int L_4 = na
if robustness == "Narrow"
L1 := length + 1, L_1 := length - 1
L2 := length + 2, L_2 := length - 2
L3 := length + 3, L_3 := length - 3
L4 := length + 4, L_4 := length - 4
else if robustness == "Medium"
L1 := length + 1, L_1 := length - 1
L2 := length + 2, L_2 := length - 2
L3 := length + 4, L_3 := length - 4
L4 := length + 6, L_4 := length - 6
else
L1 := length + 1, L_1 := length - 1
L2 := length + 3, L_2 := length - 3
L3 := length + 5, L_3 := length - 5
L4 := length + 7, L_4 := length - 7
// Function to calculate different types of moving averages
ma_calculation(source, length, ma_type) =>
if ma_type == "EMA"
ta.ema(source, length)
else if ma_type == "HMA"
ta.sma(source, length)
else if ma_type == "WMA"
ta.wma(source, length)
else if ma_type == "DEMA"
ta.dema(source, length)
else if ma_type == "LSMA"
lsma(source,length)
else if ma_type == "KAMA"
kama(source, length)
else
na
// Function to create a set of moving averages with different lengths
SetOfMovingAverages(length, source, ma_type) =>
= diflen(length)
MA = ma_calculation(source, length, ma_type)
MA1 = ma_calculation(source, L1, ma_type)
MA2 = ma_calculation(source, L2, ma_type)
MA3 = ma_calculation(source, L3, ma_type)
MA4 = ma_calculation(source, L4, ma_type)
MA_1 = ma_calculation(source, L_1, ma_type)
MA_2 = ma_calculation(source, L_2, ma_type)
MA_3 = ma_calculation(source, L_3, ma_type)
MA_4 = ma_calculation(source, L_4, ma_type)
Exponential Growth Factor: Computes an exponential growth factor based on the current bar index and growth rate.
// The function `e(L)` calculates an exponential growth factor based on the current bar index and a given growth rate `L`.
e(L) =>
// Calculate the number of bars elapsed.
// If the `bar_index` is 0 (i.e., the very first bar), set `bars` to 1 to avoid division by zero.
bars = bar_index == 0 ? 1 : bar_index
// Define the cuttime time using the `cutout` parameter, which specifies how many bars will be cut out off the time series.
cuttime = time
// Initialize the exponential growth factor `x` to 1.0.
x = 1.0
// Check if `cuttime` is not `na` and the current time is greater than or equal to `cuttime`.
if not na(cuttime) and time >= cuttime
// Use the mathematical constant `e` raised to the power of `L * (bar_index - cutout)`.
// This represents exponential growth over the number of bars since the `cutout`.
x := math.pow(math.e, L * (bar_index - cutout))
x
Equity Calculation: Calculates the equity based on starting equity, signals, and the rate of change, incorporating a natural decay rate.
pine code
// This function calculates the equity based on the starting equity, signals, and rate of change (R).
eq(starting_equity, sig, R) =>
cuttime = time
if not na(cuttime) and time >= cuttime
// Calculate the rate of return `r` by multiplying the rate of change `R` with the exponential growth factor `e(La)`.
r = R * e(La)
// Calculate the depreciation factor `d` as 1 minus the depreciation rate `De`.
d = 1 - De
var float a = 0.0
// If the previous signal `sig ` is positive, set `a` to `r`.
if (sig > 0)
a := r
// If the previous signal `sig ` is negative, set `a` to `-r`.
else if (sig < 0)
a := -r
// Declare the variable `e` to store equity and initialize it to `na`.
var float e = na
// If `e ` (the previous equity value) is not available (first calculation):
if na(e )
e := starting_equity
else
// Update `e` based on the previous equity value, depreciation factor `d`, and adjustment factor `a`.
e := (e * d) * (1 + a)
// Ensure `e` does not drop below 0.25.
if (e < 0.25)
e := 0.25
e
else
na
Signal Generation: Generates signals based on crossovers and computes a weighted signal from multiple moving averages.
Main Calculations
The indicator calculates different moving averages (EMA, HMA, WMA, DEMA, LSMA, KAMA) and their respective signals, applies exponential growth and decay factors to compute equities, and then derives a final signal by averaging weighted signals from all moving averages.
Visualization and Alerts
The final signal, along with additional visual aids like color bars and arrows, is plotted on the chart. Users can also set up alerts based on specific conditions to receive notifications for potential trading opportunities.
Repainting
The indicator does support intra-bar changes of signal but will not repaint once the bar is closed, if you want to get alerts only for signals after bar close, turn on “Strategy View” while setting up the alert.
Conclusion
The Adaptive Trend Classification: Moving Averages Indicator is a sophisticated tool for investors, offering extensive customization and adaptability to changing market conditions. By integrating multiple moving averages and leveraging dynamic weighting based on performance, it aims to provide reliable and timely investing signals.
Tetra Trendline Indicator 2.0This script is designed to help traders visualize and identify potential overbought and oversold conditions in a financial instrument's price chart using four customizable trendlines. It also provides the option to set alerts for these conditions. Users can adjust the input parameters to tailor the indicator's behavior to their trading preferences.
Input Parameters: The script allows users to configure various input parameters to customize the behavior of the indicator. These parameters include:
showTrendlineX: Boolean inputs to control whether to show each of the four trendlines (Trendline 1, Trendline 2, Trendline 3, and Trendline 4).
trendlineColorX: Color inputs to specify the color of each trendline.
trendlineWidthX: Numeric inputs to set the width of each trendline.
trendlineLengthX: Numeric inputs to determine the length of each trendline.
alertOnTrendlineXBreak: Boolean inputs to enable or disable alerts for each trendline when they are breached.
Trendline Calculations: The script calculates the coordinates for each of the four trendlines. It does this by identifying the starting and ending points of each trendline based on user-defined parameters and the highest or lowest price levels within a specified length.
Plotting Trendlines: The script uses the plot function to display the calculated trendlines on the price chart. It also fills the area between the trendlines to visually emphasize the region.
Alert Conditions: The script defines alert conditions for each trendline. Alerts are triggered when certain price conditions are met:
Trendline 1: An alert is triggered when the price crosses above the Trendline 1 (indicating overbought conditions).
Trendline 2: An alert is triggered when the price crosses below the Trendline 2 (indicating oversold conditions).
Trendline 3: Similar to Trendline 1, an alert is triggered when the price crosses above Trendline 3 (overbought).
Trendline 4: Similar to Trendline 2, an alert is triggered when the price crosses below Trendline 4 (oversold).
Gabriel's MPT Moving Average RibbonGabriel's MPT Moving Average Ribbon is a cutting-edge, risk-adjusted technical analysis tool that fuses Modern Portfolio Theory (MPT) with adaptive moving average logic to dynamically guide market participants through bullish and bearish conditions.
This ribbon is not a simple MA crossover — it leverages Sharpe Ratio, Sortino Ratio, Omega Ratio, and Value at Risk (VaR) to scale and smooth each moving average using real-time probabilistic efficiency metrics. Combined, these elements create a volatility-weighted, risk-optimized visualization of market structure.
🔍 Core Features:
Multi-Ratio Adaptive Scaling: Moving averages are dynamically weighted by Omega Ratio, Sortino Stdev, Sharpe Winrate, and VaR conditions for smarter price tracking.
Volatility Engine: Supports multiple return models:
Close-to-Close
Parkinson
Garman-Klass
Rogers–Satchell
Yang–Zhang (default for highest accuracy)
Smart Ribbon Construction:
Blends 3 different MA types per ribbon (e.g., SMA, EMA, WMA) for each of the 4 ribbons
Supports WMA-style dynamic weighting using MPT-derived ratios
Sharpe Winrate Estimation: Uses CDF logic to project the probability of success given current Sharpe ratio.
Dynamic Risk Phase Detection (VaR):
Identifies Risk On, Risk Off, or Neutral states using a triple-model composite VaR framework.
🛎️ Alerts Included:
📈 Bullish Crossover Alert: MA #1 crossing above MA #2 with all ribbons aligned upward.
📉 Bearish Crossunder Alert: MA #1 crossing below MA #2 with all ribbons aligned downward.
📊 Omega Ratio Alert: Triggered when Omega exceeds 1 (profitable risk-adjusted reward).
⚠️ Omega Caution Alert: Triggered when Omega drops below 1.
🟢 Risk On Alert: Market enters a favorable, low-risk zone. Deep Value Zone for Long-Term Investing.
🔴 Risk Off Alert: Market enters a cautionary, high-risk phase.
🎯 Use Cases:
Trend Identification: MA ribbon alignment indicates momentum phases.
Risk-Tuned Entries/Exits: Combine ribbon crossovers with VaR/Ratio signals for confirmation.
Institutional Strategy Overlay: Ideal for portfolio managers integrating risk-adjusted technical overlays.
🧠 Pro Tips:
Use "Complete" mode for the most robust risk signal, as it blends Historical, EWMA, and Variance-Covariance ratios.
Customize each MA’s type and length to match your trading horizon (e.g., intraday, swing).
Toggle Ratios Weighted MA for adaptive weighting when market risk fluctuates.
It's set to the settings I use to trade, from MA settings to MPT table. It goes in order: Sharpe Est. Winrate, Deviation of Sortino, Omega Ratio (1 Year), and the Ideal position size according to VaR.
Real Time Swing Trap DetectorThe Real Time Swing Trap Detector is a minimalist, pro-grade tool for instantly spotting classic “bull traps” and “bear traps” on any chart.
This indicator identifies swing traps in real time by tracking significant swing highs and lows, then watching for fast, false breakouts (bull traps) and breakdowns (bear traps) within a user-defined window.
How it works:
Detects when price breaks a major swing high/low (using configurable lookback).
If price quickly reclaims the broken level within X bars (trap window), a trap is confirmed and a subtle icon (🐂 for bull, 🐻 for bear) is displayed on the chart—no labels, no clutter.
You can enable/disable alerts for bull/bear traps individually or together, and receive notifications the moment a trap is detected.
Use cases:
Spot and avoid classic market “fakeouts” that trap breakout traders.
Confirm SMC/ICT “Judas swing” setups, or filter for high-probability reversals.
Works on all timeframes and assets: stocks, crypto, forex, indices.
Inputs:
Swing Lookback Bars: How far back to define swing points (default: 50)
Major Swing Filter: Additional filter for only the most significant highs/lows (default: 200)
Trap Bars (Look Ahead): Window in which a trap must be confirmed (default: 10)
Enable Bull/Bear Trap Alerts: Toggle real-time alerts for each trap type.
Visuals:
🐻 icon below bar for bear trap (short squeeze/reversal)
🐂 icon above bar for bull trap (long squeeze/reversal)
How to set up alerts:
Add the indicator to your chart, open TradingView’s Alerts panel, and choose “Bear Trap Alert,” “Bull Trap Alert,” or “Any Trap Alert” for instant notifications.
Follow Line Strategy Version 2.5 (React HTF)Follow Line Strategy v2.5 (React HTF) - TradingView Script Usage
This strategy utilizes a "Follow Line" concept based on Bollinger Bands and ATR to identify potential trading opportunities. It includes advanced features like optional working hours filtering, higher timeframe (HTF) trend confirmation, and improved trend-following entry/exit logic. Version 2.5 introduces reactivity to HTF trend changes for more adaptive trading.
Key Features:
Follow Line: The core of the strategy. It dynamically adjusts based on price breakouts beyond Bollinger Bands, using either the low/high or ATR-adjusted levels.
Bollinger Bands: Uses a standard Bollinger Bands setup to identify overbought/oversold conditions.
ATR Filter: Optionally uses the Average True Range (ATR) to adjust the Follow Line offset, providing a more dynamic and volatility-adjusted entry point.
Optional Trading Session Filter: Allows you to restrict trading to specific hours of the day.
Higher Timeframe (HTF) Confirmation: A significant feature that allows you to confirm trade signals with the trend on a higher timeframe. This can help to filter out false signals and improve the overall win rate.
HTF Selection Method: Choose between Auto and Manual HTF selection:
Auto: The script automatically determines the appropriate HTF based on the current chart timeframe (e.g., 1min -> 15min, 5min -> 4h, 1h -> 1D, Daily -> Monthly).
Manual: Allows you to select a specific HTF using the Manual Higher Timeframe input.
Trend-Following Entries/Exits: The strategy aims to enter trades in the direction of the established trend, using the Follow Line to define the trend.
Reactive HTF Trend Changes: v2.5 exits positions not only based on the trade timeframe (TTF) trend changing, but also when the higher timeframe trend reverses against the position. This makes the strategy more responsive to larger market movements.
Alerts: Provides buy and sell alerts for convenient trading signal notifications.
Visualizations: Plots the Follow Line for both the trade timeframe and the higher timeframe (optional), making it easy to understand the strategy's logic.
How to Use:
Add to Chart: Add the "Follow Line Strategy Version 2.5 (React HTF)" script to your TradingView chart.
Configure Settings: Customize the strategy's settings to match your trading style and preferences. Here's a breakdown of the key settings:
Indicator Settings:
ATR Period: The period used to calculate the ATR. A smaller period is more sensitive to recent price changes.
Bollinger Bands Period: The period used for the Bollinger Bands calculation. A longer period results in smoother bands.
Bollinger Bands Deviation: The number of standard deviations from the moving average that the Bollinger Bands are plotted. Higher deviations create wider bands.
Use ATR for Follow Line Offset?: Enable to use ATR to calculate the Follow Line offset. Disable to use the simple high/low.
Show Trade Signals on Chart?: Enable to show BUY/SELL labels on the chart.
Time Filter:
Use Trading Session Filter?: Enable to restrict trading to specific hours of the day.
Trading Session: The trading session to use (e.g., 0930-1600 for regular US stock market hours). Use 0000-2400 for all hours.
Higher Timeframe Confirmation:
Enable HTF Confirmation?: Enable to use the HTF trend to filter trade signals. If enabled, only trades in the direction of the HTF trend will be taken.
HTF Selection Method: Choose between "Auto" and "Manual" HTF selection.
Manual Higher Timeframe: If "Manual" is selected, choose the specific HTF (e.g., 240 for 4 hours, D for daily).
Show HTF Follow Line?: Enable to plot the HTF Follow Line on the chart.
Understanding the Signals:
Buy Signal: The price breaks above the upper Bollinger Band, and the HTF (if enabled) confirms the uptrend.
Sell Signal: The price breaks below the lower Bollinger Band, and the HTF (if enabled) confirms the downtrend.
Exit Long: The trade timeframe trend changes to downtrend or the higher timeframe trend changes to downtrend.
Exit Short: The trade timeframe trend changes to uptrend or the higher timeframe trend changes to uptrend.
Alerts:
The script includes alert conditions for buy and sell signals. To set up alerts, click the "Alerts" button in TradingView and select the desired alert condition from the script. The alert message provides the ticker and interval.
Backtesting and Optimization:
Use TradingView's Strategy Tester to backtest the strategy on different assets and timeframes.
Experiment with different settings to optimize the strategy for your specific trading style and risk tolerance. Pay close attention to the ATR Period, Bollinger Bands settings, and the HTF confirmation options.
Tips and Considerations:
HTF Confirmation: The HTF confirmation can significantly improve the strategy's performance by filtering out false signals. However, it can also reduce the number of trades.
Risk Management: Always use proper risk management techniques, such as stop-loss orders and position sizing, when trading any strategy.
Market Conditions: The strategy may perform differently in different market conditions. It's important to backtest and optimize the strategy for the specific markets you are trading.
Customization: Feel free to modify the script to suit your specific needs. For example, you could add additional filters or entry/exit conditions.
Pyramiding: The pyramiding = 0 setting prevents multiple entries in the same direction, ensuring the strategy doesn't compound losses. You can adjust this value if you prefer to pyramid into winning positions, but be cautious.
Lookahead: The lookahead = barmerge.lookahead_off setting ensures that the HTF data is calculated based on the current bar's closed data, preventing potential future peeking bias.
Trend Determination: The logic for determining the HTF trend and reacting to changes is critical. Carefully review the f_calculateHTFData function and the conditions for exiting positions to ensure you understand how the strategy responds to different market scenarios.
Disclaimer:
This script is for informational and educational purposes only. It is not financial advice, and you should not trade based solely on the signals generated by this script. Always do your own research and consult with a qualified financial advisor before making any trading decisions. The author is not responsible for any losses incurred as a result of using this script.
Power Trend [MacAlgo]Description:
The Power Trend Indicator is a sophisticated technical analysis tool that overlays on your trading charts to identify prevailing market trends. It utilizes a combination of ATR-based trend calculations, moving averages, volume analysis, and momentum indicators to generate reliable buy and sell signals. Additionally, it offers customizable settings to adapt to various trading styles and timeframes.
Key Features:
Adaptive ATR Calculation: Automatically adjusts the ATR (Average True Range) period and multiplier based on the selected timeframe for more accurate trend detection.
Dynamic Trend Lines: Plots continuous trend lines with color-coded bars to visually represent bullish and bearish trends.
Buy/Sell Signals: Generates standard and power buy/sell signals to help you make informed trading decisions.
Volume Analysis: Incorporates average buy and sell volumes to identify strong market movements.
Multiple Timeframe Support: Automatically adjusts the indicator's timeframe or allows for manual selection to suit your trading preferences.
Highlighting: Highlights trending bars for easy visualization of market conditions.
Alerts: Customizable alert conditions to notify you of potential trading opportunities in real-time.
How it Works:
1. ATR-Based Trend Calculation:
ATR Period & Multiplier: Calculates ATR based on user-defined periods and multipliers, dynamically adjusting according to the chart's timeframe.
Trend Determination: Identifies trends as bullish (1) or bearish (-1) based on price movements relative to ATR-based upper (up) and lower (dn) trend lines.
2. Moving Averages:
EMA & SMA: Calculates exponential and simple moving averages to smooth price data and identify underlying trends.
AlphaTrend Line: Combines a 50-period EMA and a 30-period SMA on a 4-hour timeframe to create the AlphaTrend line, providing a robust trend reference.
3. Volume Analysis:
Buy/Sell Volume: Differentiates between buy and sell volumes to gauge market strength.
Average Volume: Compares current volume against average buy/sell volumes to detect significant market movements.
4. Momentum Indicators:
RSI, MACD, OBV: Incorporates Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD), and On-Balance Volume (OBV) to assess momentum and confirm trend strength.
5. Signal Generation:
Standard Signals: Basic buy and sell signals based on trend crossovers.
Power Signals: Enhanced signals requiring multiple conditions (e.g., increased volume, momentum confirmation) for higher confidence trades.
Customization Options:
Tailor the Power Trend Indicator to your specific trading needs with the following settings:
ATR Period: Set the period for ATR calculation (default: 8).
ATR Multiplier: Adjust the ATR multiplier to fine-tune trend sensitivity (default: 3.0).
Source: Choose the price source (e.g., HL2, Close) for calculations.
Change ATR Calculation Method: Toggle between different ATR calculation methods.
Show Buy/Sell Signals: Enable or disable the display of buy and sell signals on the chart.
Highlighting: Turn on or off the bar highlighting feature.
Timeframe Adjustment: Choose between automatic timeframe adjustment or manually set
the indicator's timeframe.
Manual Indicator Timeframe: If manual adjustment is selected, specify the desired timeframe (default: 60 minutes).
Visual Components:
Trend Lines: Continuous lines representing the current trend, color-coded for easy identification (green for bullish, red for bearish, orange for neutral).
Bar Coloring: Bars are colored based on the current trend and its relationship to the AlphaTrend line.
Buy/Sell Triangles: Triangular markers appear on the chart to indicate buy and sell signals.
Power Signals: Larger triangles highlight strong buy and sell opportunities based on multiple confirming factors.
Highlighting: Transparent overlays highlight trending areas to enhance visual clarity.
Alerts:
Stay informed with customizable alerts that notify you of important market movements:
SuperTrend Buy/Sell: Alerts when standard buy or sell signals are generated.
Power Buy/Sell Alerts: Notifications for strong buy or sell signals based on comprehensive conditions.
Trend Direction Change: Alerts when the trend changes from bullish to bearish or vice versa.
How to Use:
Add to Chart: Apply the Power Trend Indicator to your preferred trading chart on TradingView.
Configure Settings: Adjust the input parameters to match your trading style and the timeframe you are analyzing.
Analyze Trends: Observe the trend lines, bar colors, and AlphaTrend line to understand the current market trend.
Follow Signals: Look for buy and sell signals or power signals to identify potential entry and exit points.
Set Alerts: Enable alerts to receive real-time notifications of significant trading opportunities.
Adjust as Needed: Fine-tune the settings based on market conditions and your trading experience.
Important Notes:
Backtesting: While the Power Trend Indicator is built using robust technical analysis principles, it's essential to backtest and validate its performance within your trading strategy.
Market Conditions: The indicator performs best in trending markets. In sideways or highly volatile markets, signal reliability may vary.
Risk Management: Always employ proper risk management techniques when trading based on indicator signals to protect your capital.
Disclaimer:
This indicator is intended for educational purposes only and does not provide financial advice or guarantee future performance. Trading involves risk, and past results are not indicative of future outcomes. Always conduct your own analysis and risk management.
EBL - Enigma BOS Logic Select Higher Time FrameThe "EBL – Enigma BOS Logic" is a unique multi-timeframe trading indicator designed for traders who rely on structured price action and key level retests to find high-probability trade opportunities. This indicator automates the identification of significant price levels on a higher timeframe, plots them across all lower timeframes, and provides actionable signals (buy/sell) when price retests those levels. It is ideal for traders who focus on lower timeframes for precise entries while using higher timeframe structure for trend confirmation.
How the Indicator Works
Key Level Detection:
The indicator allows the user to select a key level timeframe (e.g., 1H, 4H, Daily, Weekly). It then identifies Break of Structure (BOS) levels on the selected timeframe.
When a bullish-to-bearish or bearish-to-bullish reversal is detected on the selected timeframe, the corresponding high or low of the reversal candle is stored as a key level.
These key levels are plotted as horizontal lines on all lower timeframes, helping the trader visualize critical support and resistance zones across multiple timeframes.
Retest Confirmation:
Once a key level is established, the indicator continuously monitors the price action on lower timeframes.
If the price touches or crosses a key level, it is considered a retest, and an alert is generated.
The indicator plots a retest marker (customizable as a circle or diamond) at the exact price level where the retest occurred, providing a clear visual cue for the trader.
Trading Signals:
When a retest is detected, a table is displayed on the chart with the following information:
The trading pair.
The signal direction (Buy/Sell).
The price at which the retest occurred.
This table gives traders instant insight into actionable opportunities, making it easier to focus on live market conditions without missing critical retests.
Key Features
Multi-Timeframe Analysis: The indicator focuses on a higher timeframe selected by the user, ensuring that only the most relevant key levels are plotted for lower timeframe trading.
Dynamic Retest Signals: It dynamically identifies when price retests a key level and provides both visual markers and real-time alerts.
Customizable Retest Markers: Users can customize the retest marker's shape (circle/diamond) and color to suit their preferences.
Signal Table: A built-in table displays clear buy or sell signals when retests occur, ensuring that traders have all the necessary information at a glance.
Alerts: The indicator supports real-time alerts for retests, helping traders stay informed even when they are not actively monitoring the chart.
How to Use the Indicator
Select a Key Level Timeframe:
In the input settings, choose a higher timeframe (e.g., 4H or Daily) to define key levels.
The indicator will calculate Break of Structure (BOS) levels on the selected timeframe and plot them as horizontal lines across all lower timeframes.
Monitor Lower Timeframes for Retests:
Switch to a lower timeframe (e.g., 15m, 5m) to wait for price to approach the key levels plotted by the indicator.
When a retest occurs, observe the signal table and retest marker for actionable trade signals.
Act on Buy/Sell Signals:
Use the information provided by the signal table to make trading decisions.
For a buy signal, wait for bullish confirmation (e.g., price holding above the retested level).
For a sell signal, wait for bearish confirmation (e.g., price holding below the retested level).
Trading Concepts and Underlying Logic
The indicator is based on the Break of Structure (BOS) concept, a core principle in price action trading. BOS levels represent points where the market shifts its trend direction, making them critical zones for potential reversals or continuations.
By focusing on higher timeframe BOS levels, the indicator helps traders align their lower timeframe entries with the overall market trend.
The concept of retests is used to confirm the validity of a key level. A retest occurs when the price returns to a previously identified BOS level, offering a high-probability entry point.
Use Cases
Scalping: Traders who prefer lower timeframe scalping can use the indicator to align their trades with higher timeframe key levels, increasing the likelihood of successful trades.
Swing Trading: Swing traders can use the indicator to identify key reversal zones on higher timeframes and plan their trades accordingly.
Intraday Trading: Intraday traders can benefit from the real-time alerts and signals generated by the indicator, ensuring they never miss critical retests during active trading hours.
Conclusion
The "EBL – Enigma BOS Logic" is a powerful tool for traders who want to enhance their price action trading by focusing on key levels and retests across multiple timeframes. By automating the identification of BOS levels and providing clear retest signals, it helps traders make more informed and confident trading decisions. Whether you are a scalper, intraday trader, or swing trader, this indicator offers valuable insights to improve your trading performance.
Weekly Bullish Pattern DetectorThis script is a TradingView Pine Script designed to detect a specific bullish candlestick pattern on the weekly chart. Below is a detailed breakdown of its components:
1. Purpose
The script identifies a four-candle bullish pattern where:
The first candle is a long green (bullish) candlestick.
The second and third candles are small-bodied candles, signifying consolidation or indecision.
The fourth candle is another long green (bullish) candlestick.
When this pattern is detected, the script:
Marks the chart with a visual label.
Optionally triggers an alert to notify the trader.
2. Key Features
Overlay on Chart:
indicator("Weekly Bullish Pattern Detector", overlay=true) ensures the indicator draws directly on the price chart.
Customizable Inputs:
length (Body Size Threshold):
Defines the minimum percentage of the total range that qualifies as a "long" candle body (default: 14%).
smallCandleThreshold (Small Candle Body Threshold):
Defines the maximum percentage of the total range that qualifies as a "small" candle body (default: 10%).
Candlestick Property Calculations:
bodySize: Measures the absolute size of the candle body (close - open).
totalRange: Measures the total high-to-low range of the candle.
bodyPercentage: Calculates the proportion of the body size relative to the total range ((bodySize / totalRange) * 100).
isGreen and isRed: Identify bullish (green) or bearish (red) candles based on their open and close prices.
Pattern Conditions:
longGreenCandle:
Checks if the candle is bullish (isGreen) and its body percentage exceeds the defined length threshold.
smallCandle:
Identifies small-bodied candles where the body percentage is below the smallCandleThreshold.
consolidation:
Confirms the second and third candles are both small-bodied (smallCandle and smallCandle ).
Bullish Pattern Detection:
bullishPattern:
Detects the full four-candle sequence:
The first candle (longGreenCandle ) is a long green candle.
The second and third candles (consolidation) are small-bodied.
The fourth candle (longGreenCandle) is another long green candle.
Visualization:
plotshape(bullishPattern):
Draws a green label ("Pattern") below the price chart whenever the pattern is detected.
Alert Notification:
alertcondition(bullishPattern):
Sends an alert with the message "Bullish Pattern Detected on Weekly Chart" whenever the pattern is found.
3. How It Works
Evaluates Candle Properties:
For each weekly candle, the script calculates its size, range, and body percentage.
Identifies Each Component of the Pattern:
Checks for a long green candle (first and fourth).
Verifies the presence of two small-bodied candles (second and third).
Detects and Marks the Pattern:
Confirms the sequence and marks the chart with a label if the pattern is complete.
Sends Alerts:
Notifies the trader when the pattern is detected.
4. Use Cases
This script is ideal for:
Swing Traders:
Spotting weekly patterns that indicate potential bullish continuations.
Breakout Traders:
Identifying consolidation zones followed by upward momentum.
Pattern Recognition:
Automatically detecting a commonly used bullish formation.
5. Key Considerations
Timeframe: Works best on weekly charts.
Customization: The thresholds for "long" and "small" candles can be adjusted to suit different markets or volatility levels.
Limitations:
It doesn't confirm the pattern's success; further analysis (e.g., volume, support/resistance levels) may be required for validation
Predictive Order Blocks [CryptoSea]The Predictive Order Blocks Indicator is a unique and innovative tool that enhances market analysis by identifying support and resistance blocks based on standard deviations from a median line. Unlike traditional indicators that rely solely on the close price, this indicator leverages the median line and standard deviations to form areas of interest, rather than targeting a single price point. This approach provides a more accurate representation of market structure, especially during periods of consolidation and expansion.
Key Features
Multi-Term Length Analysis: The indicator offers short, medium, and long-term settings, allowing traders to customise the analysis based on their preferred trading strategy and timeframe. This flexibility ensures that the tool is adaptable to various market conditions and trading styles.
Standard Deviation-Based Order Blocks: The core functionality of the indicator revolves around calculating standard deviations from a median line to form support and resistance blocks. These blocks provide a clearer and more reliable picture of market structure compared to single-point levels. By focusing on areas rather than exact price levels, the indicator helps traders identify zones where price is likely to react, leading to more informed trading decisions.
Dynamic Box Creation: The indicator dynamically creates breakout boxes based on user-selected standard deviation ranges. These boxes are formed at the start of market expansion following periods of consolidation. This feature is particularly useful because it highlights key levels where price is likely to retrace after breaking out, providing traders with actionable insights during market transitions.
Proximity-Based Gradient Colors: The indicator features gradient colors that change based on the price's proximity to the standard deviation bands. This visual aid helps traders quickly assess the current market condition and the potential significance of the support and resistance blocks.
Adaptive Display Options: To accommodate different trading preferences, the indicator includes options to toggle the display of the trend line (median line) and the standard deviation bands. This flexibility allows traders to customise their chart view to match their analysis style, whether they prefer a more clutter-free view or a detailed breakdown of market levels.
In the example below, the indicator shows the bands compressing during a period of consolidation, highlighting the potential for a breakout.
How it Works
Median Line Calculation: The indicator calculates the median line using a user-defined period. This line serves as the central reference point from which the standard deviations are calculated. By using the median line instead of just the close price, the indicator provides a more stable and reliable baseline for identifying support and resistance areas.
Standard Deviation Bands: Around the median line, the indicator calculates multiple standard deviation bands. These bands represent areas where price is statistically likely to find support or resistance. By focusing on these areas, traders can better anticipate where price might react, rather than relying on arbitrary levels.
Dynamic Box Creation and Expansion Detection: The indicator monitors the compression and expansion of the standard deviation bands. During periods of low volatility (squeeze), the bands compress, indicating consolidation. Once the bands start expanding, it signals the potential for a breakout. At this point, the indicator dynamically creates predictive order blocks based on the selected standard deviation range. These blocks highlight key levels where price might retrace or react, providing traders with valuable entry and exit points.
Color-Coded Proximity Alerts: To further enhance usability, the indicator uses color gradients to indicate how close the current price is to the calculated bands. This visual representation helps traders quickly assess the potential significance of the price's current position relative to the support and resistance areas.
In the example below, the indicator shows the bands expanding with the price, triggering the formation of the predictive order block.
In the final example, the price retraces into the order block before bouncing back to the upside, demonstrating the effectiveness of the identified support area.
Alerts
Trend Line Alerts: The indicator provides alerts when the price crosses above or below the trend line (median line). This feature is crucial for traders looking to identify potential trend changes early, allowing them to act quickly on emerging opportunities.
Band Alerts: Alerts are also triggered when the price crosses above or below the upper or lower bands for each standard deviation level. This helps traders identify potential breakout or breakdown scenarios, ensuring they are notified of significant market movements as they happen.
Customisable Alert Conditions: To cater to different trading strategies, the indicator allows users to set alert conditions for each standard deviation band and the trend line. This level of customisation ensures that traders receive alerts that are relevant to their specific trading style and market analysis.
Application
Strategic Decision-Making: The Predictive Order Blocks Indicator assists traders in making informed decisions by providing detailed analysis of potential breakout zones. By identifying key support and resistance areas, the indicator helps traders plan their entries and exits with greater precision.
Trend Confirmation: The indicator reinforces trading strategies by identifying key levels where price is likely to react. This confirmation is crucial for traders looking to enter trades with higher confidence.
Customized Analysis: The indicator adapts to various trading styles with extensive input settings that control the display and calculation of order blocks. Whether you're a day trader, swing trader, or long-term investor, the indicator can be tailored to meet your specific needs.
Visual Clarity: With customizable color settings and display options, the indicator enhances chart readability, allowing traders to quickly and easily interpret market data.
The Predictive Order Blocks Indicator by CryptoSea is an invaluable addition to a trader's toolkit, offering depth and precision in market trend analysis to navigate complex market conditions effectively.
Volatility Adaptive Signal Tracker (VAST)The Adaptive Trend Following Buy/Sell Signals Pine Script is designed to help traders identify and capitalize on market trends using an adaptive trend-following strategy. This script focuses on generating reliable buy and sell signals by analyzing market trends and volatility. It simplifies the trading process by providing clear signals without plotting additional lines, making it easy to use and interpret.
Key Features:
Adaptive Trend Following:
The script employs an adaptive trend-following approach that leverages market volatility to generate buy and sell signals. This method is effective in both trending and volatile markets.
Inputs and Customization:
The script includes customizable parameters for the Simple Moving Average (SMA) length, the Average True Range (ATR) length, and the ATR multiplier. These inputs allow traders to adjust the sensitivity of the signals to match their trading style and market conditions.
Signal Generation:
Buy Signal: Generated when the closing price crosses above the upper adaptive band, indicating a potential upward trend.
Sell Signal: Generated when the closing price crosses below the lower adaptive band, indicating a potential downward trend.
Visual Signals:
The script uses plotshape to mark buy signals with green labels below the bars and sell signals with red labels above the bars. This clear visual representation helps traders quickly identify trading opportunities.
Alert Conditions:
The script sets up alert conditions for both buy and sell signals. Traders can use these alerts to receive notifications when a signal is generated, ensuring they do not miss any trading opportunities.
How It Works:
SMA Calculation: The script calculates the Simple Moving Average (SMA) over a specified period, which helps in identifying the general trend direction.
ATR Calculation: The Average True Range (ATR) is calculated to measure market volatility.
Adaptive Bands: Upper and lower adaptive bands are created by adding and subtracting a multiple of the ATR to the SMA, respectively.
Signal Logic: Buy signals are generated when the closing price crosses above the upper band, while sell signals are generated when the closing price crosses below the lower band.
Example Use Case:
A trader looking to capitalize on medium-term trends in the Nifty futures market can use this script to receive timely buy and sell signals. By customizing the SMA length and ATR parameters, the trader can fine-tune the script to match their trading strategy, ensuring they enter and exit trades at optimal points.
Benefits:
Simplicity: The script provides clear buy and sell signals without cluttering the chart with additional lines or indicators.
Adaptability: Customizable parameters allow traders to adapt the script to various market conditions and trading styles.
Alerts: Built-in alert conditions ensure traders receive timely notifications, helping them to act quickly on trading signals.
How to Use:
Open TradingView: Go to the TradingView website and log in.
Create a New Chart: Click on the “Chart” button to open a new chart.
Open the Pine Script Editor: Click on the “Pine Editor” tab at the bottom of the chart.
Create a New Script: Delete any default code in the Pine Script editor and paste the provided script.
Add to Chart: Click on the “Add to Chart” button to compile and add the script to your chart.
Save the Script: Click “Save” and name the script.
Set Alerts: Right-click on the chart, select “Add Alert,” and choose the appropriate condition to set alerts for buy and sell signals.
Prometheus OscillatorThis oscillator is a tool meant to determine an up or down trend using a measure of volatility and what skews the market has.
Calculation
The first thing to do is normalize the price to have a 0 handle and be a decimal. The reason to do this is to get the 0 line for every asset.
After the source value has been normalized calculate standard deviation and skew.
Standard Deviation
To calculate standard deviation Prometheus uses Pinescript's built-in function.
standard_dev = ta.stdev(src, len, true)
Standard deviation is a decent and quick estimation of historical volatility over a period of time specified by the user.
Skew
Skew is calculated as follows:
mean = ta.sma(src, len)
m3 = math.sum(math.pow(src - mean, 3), len) / len
m2 = math.pow(math.sum(math.pow(src - mean, 2), len) / len, 1.5)
skew = m3 / m2
Skew is a value used to determine how far on one side of a distribution a value is. When the market is aggressively moving higher the skew will be a bigger positive number. When it is moving lower, a negative number. When the values are small, still either positive or negative, is when the market is moving calmly in either direction.
Adding these two values together provides us with our oscillator.
Trade Examples
A simple way to use this tool is to use 0-line crosses as bullish or bearish alerts
Step 1: Cross above 0 line, long alert. The price proceeds to move up.
Step 2: Cross below 0 line, short alert. The Price moves down.
Step 3: Cross above 0 line, long alert. The price chops then the price proceeds to move up.
0 line crosses can work but may not always be reliable.
Step 1: Cross above 0 line, long alert. The price proceeds to move up.
Step 2: Cross below 0 line, short alert. The Price bounces as the downtrend is signaled, but then continues to sell off.
Step 3: Cross above 0 line, long alert. The price chops at the high and then reverses.
Step 4: Cross below 0 line, short alert. proceeds to move down.
Step 5: Cross above 0 line, long alert. The price proceeds to move up.
Not every alert will be perfect, we encourage traders to use tools as well as their own discretion.
Previous highs and lows may be a good tell if the alert will be true.
Step 1: Cross above 0 line, long alert. The price proceeds to move up.
Step 2: Cross below 0 line, short alert. The Price bounces as the downtrend is signaled, false alert.
Step 3: Cross above 0 line, long alert. The price chops at the high and then moves up.
Step 4: Cross below 0 line, short alert. The price chops a lot with a false break to the upside, the oscillator itself does not move fast or high which could have been a sign it was false.
Step 5: Step 3's downtrend continues.
Step 6: Cross above the 0 line. A new up trend emerges.
The indicator has more than one use. Detecting false moves in a greater trend is advantageous to not get faked out.
Step 1: Price moves up, however, the oscillator does not break 0, and the trend remains bearish before a true break of 0 line and moves up.
Step 2: While the oscillator is below the 0 line the price moves up. The oscillator does not change its sign and the downtrend continues until a true break of 0 line and moves up.
Inputs:
Len: Lookback length for how many bars back to go to calculate the oscillator.
No indicator is 100% accurate, use them along with your own discretion.
