AI-Bank-Nifty Tech AnalysisThis code is a TradingView indicator that analyzes the Bank Nifty index of the Indian stock market. It uses various inputs to customize the indicator's appearance and analysis, such as enabling analysis based on the chart's timeframe, detecting bullish and bearish engulfing candles, and setting the table position and style.
The code imports an external script called BankNifty_CSM, which likely contains functions that calculate technical indicators such as the RSI, MACD, VWAP, and more. The code then defines several table cell colors and other styling parameters.
Next, the code defines a table to display the technical analysis of eight bank stocks in the Bank Nifty index. It then defines a function called get_BankComponent_Details that takes a stock symbol as input, requests the stock's OHLCV data, and calculates several technical indicators using the imported CSM_BankNifty functions.
The code also defines two functions called get_EngulfingBullish_Detection and get_EngulfingBearish_Detection to detect bullish and bearish engulfing candles.
Finally, the code calculates the technical analysis for each bank stock using the get_BankComponent_Details function and displays the results in the table. If the engulfing input is enabled, the code also checks for bullish and bearish engulfing candles and displays buy/sell signals accordingly.
The FRAMA stands for "Fractal Adaptive Moving Average," which is a type of moving average that adjusts its smoothing factor based on the fractal dimension of the price data. The fractal dimension reflects self-similarity at different scales. The FRAMA uses this property to adapt to the scale of price movements, capturing short-term and long-term trends while minimizing lag. The FRAMA was developed by John F. Ehlers and is commonly used by traders and analysts in technical analysis to identify trends and generate buy and sell signals. I tried to create this indicator in Pine.
In this context, "RS" stands for "Relative Strength," which is a technical indicator that compares the performance of a particular stock or market sector against a benchmark index.
The "Alligator" is a technical analysis tool that consists of three smoothed moving averages. Introduced by Bill Williams in his book "Trading Chaos," the three lines are called the Jaw, Teeth, and Lips of the Alligator. The Alligator indicator helps traders identify the trend direction and its strength, as well as potential entry and exit points. When the three lines are intertwined or close to each other, it indicates a range-bound market, while a divergence between them indicates a trending market. The position of the price in relation to the Alligator lines can also provide signals, such as a buy signal when the price crosses above the Alligator lines and a sell signal when the price crosses below them.
In addition to these, we have several other commonly used technical indicators, such as MACD, RSI, MFI (Money Flow Index), VWAP, EMA, and Supertrend. I used all the built-in functions for these indicators from TradingView. Thanks to the developer of this TradingView Indicator.
I also created a BankNifty Components Table and checked it on the dashboard.
Cari dalam skrip untuk "supertrend"
Open Interest Delta with MAs[Binance Perpetuals]!!!!! This indicator only shows Binance Perpetuals Open Interest Delta !!!!!
!!!!! When Binance Spot pair charts is selected, It still shows the perpetual contract Open Interest, if the pair on the chart is tradeble on perpetual contracts. I assume you know what Open Interest is. !!!!!
ZLEMA , Tillson, VAR MAs codes are coming from @KivancOzbilgic => SuperTrended Moving Averages
KAMA code is coming from @HPOTTER => Kaufman Moving Average Adaptive ( KAMA )
Open Interest with Bollinger Bands and some moving averages!!! This indicator only shows Binance Perpetuals Open Interest !!!
!!!!! When Binance Spot pair charts is selected, It still shows the perpetual contract Open Interest, if the pair on the chart is tradeble on perpetual contracts. I assume you know what Open Interest is. !!!!!
ZLEMA, Tillson, VAR MAs codes are coming from @KivancOzbilgic => SuperTrended Moving Averages
Indicators OverviewThis Indicator help you to see whether the price is above or below vwap, supertrend. Also you can see realtime RSI value.
You can add upto 15 stock of your choice.
HiLo IndicatorNYSE:SPCE
This is an old and simple concept of mine that I am revisiting. It looks similar to the Vortex Indicator but the formulation is different. I was sick and tired of buying late at the top of the peaks, so I wanted to relate the current price to historic highs and lows (you can change how far you want to go back Time Length = tl). The functions are incredible simple:
lo = close -lowest(close,tl)
hi = highest(close,tl) -close
This generates a weaving pattern that shows bullish (lo>hi) and bearish (lo<hi) zones. WMA's (Fast and Long which can be changed and I have the defaults set kind or high) are used to smooth the functions. Only the long is shown for the "hi" function to keep the plot cleaner. I used crossover points of the "lo" WMA curves to specify places of possible bearish "turn around" points and bullish "entry" points. Alerts can set set for these along with the main crossovers where the plots cross bullish (green) and bearish (red). It seems to be a really good companion to popular buy/sell indicators like the Supertrend.
Hope you like it and let me know if there are any questions.
Niki Super1.2This is a completely super trend indicator. Changed only the ATR period and the multifactor default values. This setup shows more profit on the 5 minute chart, making it ideal for scalping and day trading. This indicator is suitable for any type of stock. The 'Buy' symbol represents the long entry and the 'Sell' symbol represents the short entry. Modified the bar color based on the SuperTrend. Signals or highlighted colors can be omitted from the Signal Settings window
Contact us using the links below to get access to this indicator
Bot Study v7 OverlayShowing the direction of price, based on candlestick patterns. Working similarly as PSAR or Supertrend.
Mixed TrendsTwo green dots in a row means it's good time to start long position.
Likewise, two red dots in a row means to start short.
Better performance used together with SuperTrend.
50EMA + 52RSI Day TradeBased on the great day trading video by @TrueCrypto28 ( www.youtube.com ), this indicator is perfect for trading on Binance. Have tweaked it so it is based on the 50EMA instead of SuperTrend.
Default settings
Long signal will be given when RSI is above 52 on the hourly chart to confirm a higher timeframe bullish bias as well as price closing above the 50EMA on the 5 minute chart. High + Low + Close / 3 has been used to smooth signals.
Trade will be closed when price either closes below the 50EMA on the 5 minute or RSI drops above 52 on the hourly.
Colour coded candles included for ease of trading. Green = all signals met to buy. Red = sell.
Can change inputs to suite your style.
Multi Indicator Version 2This Pine Script combines multiple technical indicators into one TradingView overlay: two EMAs (High/Low), Supertrend, VWAP with flexible anchoring (e.g., Session, Week, Earnings), previous day’s high/low for intraday analysis, and RSI-based visual cues. The Supertrend dynamically shades the background based on trend direction and generates alerts on trend changes. VWAP visibility can be toggled and is hidden on daily or higher timeframes if desired. RSI stars indicate overbought (above 70) and oversold (below 30) conditions. This comprehensive tool aids traders in identifying market trends, momentum, and key support/resistance levels for better decision-making.
TrueTrend V1 — Nadeem alaaTrueTrend V1 — Nadeem alaa is a powerful trend and momentum indicator specifically designed for scalping and active trading on lower timeframes, from 15 minutes down to 1 minute. The indicator integrates advanced SuperTrend logic, dynamic take profit signals, and a momentum coloring system (CDC Action Zone), making it ideal for traders seeking fast and reliable signals in volatile markets.
Key Features:
Optimized for Lower Timeframes: Built and fine-tuned for high-precision trading on 1m, 3m, 5m, and 15m charts, offering fast signal generation and clear trend identification.
Comprehensive Trend Detection: Utilizes an enhanced SuperTrend algorithm with adjustable settings, providing precise buy and sell signals directly on the chart.
Automatic Take Profit Signals: Displays take profit points after each buy or sell, with customizable parameters for multiplier and length.
Momentum Visualization: Candles are automatically colored based on the current momentum and trend strength, helping traders visually assess market conditions at a glance.
Big EMA Tracking: Includes a long-term exponential moving average for additional trend confirmation.
Smart Alerts: Supports all types of alerts (buy, sell, take profit) for automated trading or instant notifications.
Bilingual Support: All settings and labels are available in both Arabic and English, making the indicator accessible for a wide range of users.
User-Friendly Interface: All components—signals, lines, and colors—are clearly displayed and easily customizable to fit any trading style.
TrueTrend V1 is the ultimate tool for intraday and scalping traders who want a complete solution for trend, momentum, and take profit signals, fully supporting both Arabic and English languages.
Multi Market Structure Confirmation Indicator🔧 Overview
The Multi Confluence Indicator (MCI) is a sophisticated all-in-one Pine Script tool designed for intraday and swing traders. It combines multiple leading and lagging indicators into a single chart overlay. MCI aims to identify key confluence zones for decision-making by integrating CPR levels, trend indicators, volume profiles, divergence signals, market structure, and more.
📋 Indicator Components
CPR (Central Pivot Range)
Daily CPR, Tomorrow’s CPR, Weekly CPR, and Historical CPR.
Includes support/resistance (S1–S3, R1–R3).
Color-coded with clear labeling.
Accounts for weekends and holidays (manually defined).
Option to show: Previous Day’s High/Low/Close and Weekly R3/S3
How to interpret : CPR is used to define price bias (bullish above, bearish below) and high-probability bounce zones.
Trend Indicators
Supertrend
ATR-based trend-following system.
Buy/Sell signals with labels.
Customizable multiplier and length.
Parabolic SAR
Trend-following reversal system.
Labels and shapes are optionally displayed.)
XTrend (Super Xtrend)
Custom smart-trend logic with ATR channels.
Buy/sell arrows and alerts on trend changes.
How to interpret : Use for trend confirmation and early entries/exits.
RSI + Bar Coloring
RSI calculated and bars colored based on overbought, oversold, very overbought, and very oversold thresholds.
Colors: green (buy), red (sell), white/yellow (extremes).
How to interpret : Visualizes internal strength or weakness of candles.
MACD Trend Ribbon
Single MACD signal plotted as a ribbon at the bottom.
Ribbon color reflects MACD trend state (rising/falling).
Order Blocks (SonarLab-inspired)
Bullish and Bearish OBs.
Sensitivity control.
Cleaned up upon mitigation.
Alerts when price enters OB zones.
How to interpret : Institutional footprints; look for entries in OB zones after mitigation.
Market Structure + MSB
Market structure shifts using zigzag logic.
Identifies bullish/bearish break of structure (MSB).
Automatically labels Bu-OB, Be-OB (Order Blocks) / Bu-BB, Be-BB (Breakout Blocks)
How to interpret : Detect structural trend changes, use for breakout confirmation.
RSI Divergence
Detects and plots Bullish/Bearish divergence with up/down arrows and from level 1 to 5 divergence strength.
Smart line cleanup to avoid clutter.
How to interpret : Reversal warning zones, especially in confluence with other tools.
Volume Profile (Price-by-Volume)
Horizontal volume histogram over defined lookback.
Up/down volume
Bull/bear strength
Point of Control (PoC)
Price levels
How to interpret : Identify price acceptance/rejection zones and fair value.
Volume Histogram
Plots vertical histogram (top/bottom).
Includes volume moving average overlay.
Volume-weighted bar coloring (optional).
Settlement Levels
Daily volatility-based standard deviation bands.
Based on historical volatility (HV).
Support for up to ±2.5 SD.
Custom source and lookback period.
How to interpret : Use as dynamic intraday range bounds for mean-reversion or breakout strategies.
EMA Offset
Plots a forward/backward-shifted EMA.
Useful for visualizing lag or future projections.
⚠️ Alerts
The script includes TradingView alert conditions for:
Supertrend direction change
PSAR direction change
XTrend buy/sell
OB entry (Bullish/Bearish)
Market Structure Break (MSB)
You can create alerts using these by selecting the script under the “Create Alert” panel and choosing from the dropdown conditions.
Finviro | TrendMaster SMARTمؤشر "Finviro | TrendMaster SMART" هو أداة تحليل فني متقدمة صممت لمساعدة المتداولين والمستثمرين على تحديد اتجاهات السوق بدقة وفعالية. يجمع المؤشر بين عدة تقنيات مثل مؤشر Supertrend لتحديد الاتجاهات، مؤشر PSAR لتحديد نقاط التحول المحتملة، ومتوسطات الحركة المتعددة لتقييم قوة الاتجاه وتوازن السوق. كما يتضمن خطوط دعم ومقاومة ديناميكية تساعد في التعرف على مستويات السعر الحاسمة، بالإضافة إلى إشارات دخول وخروج (شراء وبيع) تستند إلى تحليل دقيق لحركة السعر.
يساعد هذا المؤشر على تحسين توقيت قرارات التداول من خلال دمج إشارات متعددة تدعم التقييم الموضوعي للسوق، مما يعزز فرص تحقيق أرباح مستدامة وتقليل المخاطر. كما يحتوي المؤشر على لوحة معلومات تفاعلية تعرض اتجاهات متعددة الأطر الزمنية (من دقيقة حتى يومي) لتحليل أعمق وأشمل.
The "Finviro | TrendMaster SMART" indicator is an advanced technical analysis tool designed to assist traders and investors in accurately and effectively identifying market trends. The indicator integrates several techniques such as the Supertrend for trend direction, PSAR for potential reversal points, and multiple moving averages to assess trend strength and market balance. It also includes dynamic support and resistance lines to highlight key price levels, along with buy and sell signals based on precise price action analysis.
This indicator enhances trading timing decisions by combining multiple signals that support an objective market assessment, thereby increasing the chances of sustainable profits and risk reduction. Additionally, it features an interactive dashboard showing multi-timeframe trends (from minutes to daily), enabling deeper and comprehensive analysis.
Crypto Futures Master Indicator (CFMI) v3Crypto Futures Master Indicator (CFMI v3) is a confluence-based tool for Binance-style 24/7 markets. It checks six independent filters—EMA trend, RSI bias, Keltner breakout, Supertrend, AlphaTrend and MACD histogram—and prints a green ▲ or red ▼ only when at least the number of filters you set (default four) agree on the same direction. Fewer required filters give more signals; more filters give fewer but stronger ones. The script never repaints because arrows appear after the candle closes. Adjust the ATR and factor inputs to suit each coin’s volatility, pair the arrows with sensible stop-losses (e.g., Supertrend line or ATR multiple) and always back-test before going live.
Exponential Trend [AlgoAlpha]OVERVIEW
This script plots an adaptive exponential trend system that initiates from a dynamic anchor and accelerates based on time and direction. Unlike standard moving averages or trailing stops, the trend line here doesn't follow price directly—it expands exponentially from a pivot determined by a modified Supertrend logic. The result is a non-linear trend curve that starts at a specific price level and accelerates outward, allowing traders to visually assess trend strength, persistence, and early-stage reversal points through both base and volatility-adjusted extensions.
CONCEPTS
This indicator builds on the idea that trend-following tools often need dynamic, non-static expansion to reflect real market behavior. It uses a simplified Supertrend mechanism to define directional context and anchor levels, then applies an exponential growth function to simulate trend acceleration over time. The exponential growth is unidirectional and resets only when the direction flips, preserving trend memory. This method helps avoid whipsaws and adds time-weighted confirmation to trends. A volatility buffer—derived from ATR and modifiable by a width multiplier—adds a second layer to indicate zones of risk around the main trend path.
FEATURES
Exponential Trend Logic : Once a directional anchor is set, the base trend line accelerates using an exponential formula tied to elapsed bars, making the trend stronger the longer it persists.
Volatility-Adjusted Extension : A secondary band is plotted above or below the base trend line, widened by ATR to visualize volatility zones, act as soft stop regions or as a better entry point (Dynamic Support/Resistance).
Color-Coded Visualization : Clear green/red base and extension lines with shaded fills indicate trend direction and confidence levels.
Signal Markers & Alerts : Triangle markers indicate confirmed trend reversals. Built-in alerts notify users of bullish or bearish direction changes in real-time.
USAGE
Use this script to identify strong trends early, visually measure their momentum over time, and determine safe areas for entries or exits. Start by adjusting the *Exponential Rate* to control how quickly the trend expands—the higher the rate, the more aggressive the curve. The *Initial Distance* sets how far the anchor band is placed from price initially, helping filter out noise. Increase the *Width Multiplier* to widen the volatility zone for more conservative entries or exits. When the price crosses above or below the base line, a new trend is assumed and the exponential projection restarts from the new anchor. The base trend and its extension both shift over time, but only reset on a confirmed reversal. This makes the tool especially useful for momentum continuation setups or trailing stop logic in trending markets.
AI Trend Momentum SniperThe AI Trend Momentum Sniper is a powerful technical analysis tool designed for day trading. This strategy combines multiple momentum and trend indicators to identify high-probability entry and exit points. The indicator utilizes a combination of Supertrend, MACD, RSI, ATR (Average True Range), and On-Balance Volume (OBV) to generate real-time signals for buy and sell opportunities.
Key Features:
Supertrend for detecting market direction (bullish or bearish).
MACD for momentum confirmation, highlighting changes in market momentum.
RSI to filter out overbought/oversold conditions and ensure high-quality trades.
ATR as a volatility filter to adjust for changing market conditions.
OBV (On-Balance Volume) to confirm volume strength and trend validity.
Dynamic Stop-Loss & Take-Profit based on ATR to manage risk and lock profits.
This indicator is tailored for intraday traders looking for quick market moves, especially in volatile and high liquidity assets like Bitcoin (BTC) and Ethereum (ETH). It helps traders capture short-term trends with efficient risk management tools.
How to Apply:
Set Your Chart: Apply the AI Trend Momentum Sniper to a 5-minute (M5) or 15-minute (M15) chart for optimal performance.
Buy Signal: When the indicator generates a green arrow below the bar, it indicates a buy signal based on positive trend and momentum alignment.
Sell Signal: A red arrow above the bar signals a sell condition when the trend and momentum shift bearish.
Stop-Loss and Take-Profit: The indicator automatically calculates dynamic stop-loss and take-profit levels based on the ATR value for each trade, ensuring proper risk management.
Alerts: Set up custom alerts for buy or sell signals, and get notified instantly when opportunities arise.
Best Markets for Use:
BTC/USDT, ETH/USDT – High liquidity and volatility.
Major altcoins with sufficient volume.
Avoid using it on low-liquidity assets where price action may become erratic.
Timeframes:
This indicator is best suited for lower timeframes (5-minute to 15-minute charts) to capture quick price movements in trending markets.
Machine Learning Moving Average [LuxAlgo]The Machine Learning Moving Average (MLMA) is a responsive moving average making use of the weighting function obtained Gaussian Process Regression method. Characteristic such as responsiveness and smoothness can be adjusted by the user from the settings.
The moving average also includes bands, used to highlight possible reversals.
🔶 USAGE
The Machine Learning Moving Average smooths out noisy variations from the price, directly estimating the underlying trend in the price.
A higher "Window" setting will return a longer-term moving average while increasing the "Forecast" setting will affect the responsiveness and smoothness of the moving average, with higher positive values returning a more responsive moving average and negative values returning a smoother but less responsive moving average.
Do note that an excessively high "Forecast" setting will result in overshoots, with the moving average having a poor fit with the price.
The moving average color is determined according to the estimated trend direction based on the bands described below, shifting to blue (default) in an uptrend and fushia (default) in downtrends.
The upper and lower extremities represent the range within which price movements likely fluctuate.
Signals are generated when the price crosses above or below the band extremities, with turning points being highlighted by colored circles on the chart.
🔶 SETTINGS
Window: Calculation period of the moving average. Higher values yield a smoother average, emphasizing long-term trends and filtering out short-term fluctuations.
Forecast: Sets the projection horizon for Gaussian Process Regression. Higher values create a more responsive moving average but will result in more overshoots, potentially worsening the fit with the price. Negative values will result in a smoother moving average.
Sigma: Controls the standard deviation of the Gaussian kernel, influencing weight distribution. Higher Sigma values return a longer-term moving average.
Multiplicative Factor: Adjusts the upper and lower extremity bounds, with higher values widening the bands and lowering the amount of returned turning points.
🔶 RELATED SCRIPTS
Machine-Learning-Gaussian-Process-Regression
SuperTrend-AI-Clustering
AadTrend [InvestorUnknown]The AadTrend indicator is an experimental trading tool that combines a user-selected moving average with the Average Absolute Deviation (AAD) from this moving average. This combination works similarly to the Supertrend indicator but offers additional flexibility and insights. In addition to generating Long and Short signals, the AadTrend indicator identifies RISK-ON and RISK-OFF states for each trade direction, highlighting areas where taking on more risk may be considered.
Core Concepts and Features
Moving Average (User-Selected Type)
The indicator allows users to select from various types of moving averages to suit different trading styles and market conditions:
Simple Moving Average (SMA)
Exponential Moving Average (EMA)
Hull Moving Average (HMA)
Double Exponential Moving Average (DEMA)
Triple Exponential Moving Average (TEMA)
Relative Moving Average (RMA)
Fractal Adaptive Moving Average (FRAMA)
Average Absolute Deviation (AAD)
The Average Absolute Deviation measures the average distance between each data point and the mean, providing a robust estimation of volatility.
aad(series float src, simple int length, simple string avg_type) =>
avg = // Moving average as selected by the user
abs_deviations = math.abs(src - avg)
ta.sma(abs_deviations, length)
This provides a volatility measure that adapts to recent market conditions.
Combining Moving Average and AAD
The indicator creates upper and lower bands around the moving average using the AAD, similar to how the Supertrend indicator uses Average True Range (ATR) for its bands.
AadTrend(series float src, simple int length, simple float aad_mult, simple string avg_type) =>
// Calculate AAD (volatility measure)
aad_value = aad(src, length, avg_type)
// Calculate the AAD-based moving average by scaling the price data with AAD
avg = switch avg_type
"SMA" => ta.sma(src, length)
"EMA" => ta.ema(src, length)
"HMA" => ta.hma(src, length)
"DEMA" => ta.dema(src, length)
"TEMA" => ta.tema(src, length)
"RMA" => ta.rma(src, length)
"FRAMA" => ta.frama(src, length)
avg_p = avg + (aad_value * aad_mult)
avg_m = avg - (aad_value * aad_mult)
var direction = 0
if ta.crossover(src, avg_p)
direction := 1
else if ta.crossunder(src, avg_m)
direction := -1
A chart displaying the moving average with upper and lower AAD bands enveloping the price action.
Signals and Trade States
1. Long and Short Signals
Long Signal: Generated when the price crosses above the upper AAD band,
Short Signal: Generated when the price crosses below the lower AAD band.
2. RISK-ON and RISK-OFF States
These states provide additional insight into the strength of the current trend and potential opportunities for taking on more risk.
RISK-ON Long: When the price moves significantly above the upper AAD band after a Long signal.
RISK-OFF Long: When the price moves back below the upper AAD band, suggesting caution.
RISK-ON Short: When the price moves significantly below the lower AAD band after a Short signal.
RISK-OFF Short: When the price moves back above the lower AAD band.
Highlighted areas on the chart representing RISK-ON and RISK-OFF zones for both Long and Short positions.
A chart showing the filled areas corresponding to trend directions and RISK-ON zones
Backtesting and Performance Metrics
While the AadTrend indicator focuses on generating signals and highlighting risk areas, it can be integrated with backtesting frameworks to evaluate performance over historical data.
Integration with Backtest Library:
import InvestorUnknown/BacktestLibrary/1 as backtestlib
Customization and Calibration
1. Importance of Calibration
Default Settings Are Experimental: The default parameters are not optimized for any specific market condition or asset.
User Calibration: Traders should adjust the length, aad_mult, and avg_type parameters to align the indicator with their trading strategy and the characteristics of the asset being analyzed.
2. Factors to Consider
Market Volatility: Higher volatility may require adjustments to the aad_mult to avoid false signals.
Trading Style: Short-term traders might prefer faster-moving averages like EMA or HMA, while long-term traders might opt for SMA or FRAMA.
Alerts and Notifications
The AadTrend indicator includes built-in alert conditions to notify traders of significant market events:
Long and Short Alerts:
alertcondition(long_alert, "LONG (AadTrend)", "AadTrend flipped ⬆LONG⬆")
alertcondition(short_alert, "SHORT (AadTrend)", "AadTrend flipped ⬇Short⬇")
RISK-ON and RISK-OFF Alerts:
alertcondition(risk_on_long, "RISK-ON LONG (AadTrend)", "RISK-ON LONG (AadTrend)")
alertcondition(risk_off_long, "RISK-OFF LONG (AadTrend)", "RISK-OFF LONG (AadTrend)")
alertcondition(risk_on_short, "RISK-ON SHORT (AadTrend)", "RISK-ON SHORT (AadTrend)")
alertcondition(risk_off_short, "RISK-OFF SHORT (AadTrend)", "RISK-OFF SHORT (AadTrend)")
Important Notes and Disclaimer
Experimental Nature: The AadTrend indicator is experimental and should be used with caution.
No Guaranteed Performance: Past performance is not indicative of future results. Backtesting results may not reflect real trading conditions.
User Responsibility: Traders and investors should thoroughly test and calibrate the indicator settings before applying it to live trading.
Risk Management: Always use proper risk management techniques, including stop-loss orders and position sizing.
Universal Trend and Valuation System [QuantAlgo]Universal Trend and Valuation System 📊🧬
The Universal Trend and Valuation System by QuantAlgo is an advanced indicator designed to assess asset valuation and trends across various timeframes and asset classes. This system integrates multiple advanced statistical indicators and techniques with Z-score calculations to help traders and investors identify overbought/sell and oversold/buy signals. By evaluating valuation and trend strength together, this tool empowers users to make data-driven decisions, whether they aim to follow trends, accumulate long-term positions, or identify turning points in mean-reverting markets.
💫 Conceptual Foundation and Innovation
The Universal Trend and Valuation System by QuantAlgo provides a unique framework for assessing market valuation and trend dynamics through a blend of Z-score analysis and trend-following algorithm. Unlike traditional indicators that only reflect price direction, this system incorporates multi-layered data to reveal the relative value of an asset, helping users determine whether it’s overvalued, undervalued, or approaching a trend reversal. By combining high quality trend-following tools, such as Dynamic Score Supertrend, DEMA RSI, and EWMA, it evaluates trend stability and momentum quality, while Z-scores of performance ratios like Sharpe, Sortino, and Omega standardize deviations from historical trends, enabling traders and investors to spot extreme conditions. This dual approach allows users to better identify accumulation (undervaluation) and distribution (overvaluation) phases, enhancing strategies like Dollar Cost Averaging (DCA) and overall timing for entries and exits.
📊 Technical Composition and Calculation
The Universal Trend-Following Valuation System is composed of several trend-following and valuation indicators that create a dynamic dual scoring model:
Risk-Adjusted Ratios (Sharpe, Sortino, Omega): These ratios assess trend quality by analyzing an asset’s risk-adjusted performance. Sharpe and Sortino provide insight into trend consistency and risk/reward, while Omega evaluates profitability potential, helping traders and investors assess how favorable a trend or an asset is relative to its associated risk.
Dynamic Z-Scores: Z-scores are applied to various metrics like Price, RSI, and RoC, helping to identify statistical deviations from the mean, which indicate potential extremes in valuation. By combining these Z-scores, the system produces a cumulative score that highlights when an asset may be overbought or oversold.
Aggregated Trend-Following Indicators: The model consolidates multiple high quality indicators to highlight probable trend shifts. This helps confirm the direction and strength of market moves, allowing users to spot reversals or entry points with greater clarity.
📈 Key Indicators and Features
The Universal Trend and Valuation System combines various technical and statistical tools to deliver a well-rounded analysis of market trends and valuation:
The indicator utilizes trend-following indicators like RSI with DEMA smoothing and Dynamic Score Supertrend to minimize market noise, providing clearer and more stable trend signals. Sharpe, Sortino, and Omega ratios are calculated to assess risk-adjusted performance and volatility, adding a layer of analysis for evaluating trend quality. Z-scores are applied to these ratios, as well as Price and Rate of Change (RoC), to detect deviations from historical trends, highlighting extreme valuation levels.
The system also incorporates multi-layered visualization with gradient color coding to signal valuation states across different market conditions. These adaptive visual cues, combined with threshold-based alerts for overbought and oversold zones, help traders and investors track probable trend reversals or continuations and identify accumulation or distribution zones, adding reliability to both trend-following and mean-reversion strategies.
⚡️ Practical Applications and Examples
✅ Add the Indicator: Add the Universal Trend-Following Valuation System to your favourites and to your chart.
👀 Monitor Trend Shifts and Valuation Levels: Watch the average Z score, trend probability state and gradient colors to identify overbought and oversold conditions. During undervaluation, consider using a DCA strategy to gradually accumulate positions (buy), while overvaluation may signal distribution or profit-taking phases (sell).
🔔 Set Alerts: Configure alerts for significant trend or valuation changes, ensuring you can act on market movements promptly, even when you’re not actively monitoring the charts.
🌟 Summary and Usage Tips
The Universal Trend and Valuation System by QuantAlgo is a highly adaptable tool, designed to support both trend-following and valuation analysis across different market environments. By combining valuation metrics with high quality trend-following indicators, it helps traders and investors identify the relative value of an asset based on historical norms, providing more reliable overbought/sell and oversold/buy signals. The tool’s flexibility across asset types and timeframes makes it ideal for both short-term trading and long-term investment strategies like DCA, allowing users to capture meaningful trends while minimizing noise.
