MA“5 / 10 / 20 / 60 / 240 Moving Averages, with a red background automatically highlighted when MA5 > MA10 > MA20.”
Moving Averages
FSVZO | Lyro RSFSVZO | Lyro RS
This script is a technical analysis tool called the FSVZO, or Fourier Smoothed Volume Zone Oscillator. It is designed to analyze market momentum and trend strength by combining price and volume data with advanced smoothing techniques. The goal is to help identify potential trends, overbought/oversold conditions, and divergence signals in a clear visual format.
Understanding the Indicator's Components
The indicator plots a main oscillator line and several supporting elements on a separate pane below the chart.
The Main Oscillator: This is the primary, colored wave. Its movement and color are key to interpretation.
Trend Direction: The color shifts between bullish and bearish tones based on the momentum of the oscillator. This provides a quick visual reference for the prevailing short-term trend.
Key Levels: Horizontal lines mark significant levels such as +60, +85, -60, and -85. Movements above +60 or below -60 can indicate strong momentum, while approaches to the extreme levels (+85/-85) may suggest overbought or oversold conditions.
Divergence Detection: The indicator can plot labels ("ℝ" for Regular, "ℍ" for Hidden) on the oscillator to signal potential divergences. These occur when the indicator's direction differs from the price action on the main chart and can sometimes foreshadow reversals or continuations.
Moving Average (MA): A central moving average line, based on the oscillator, helps to smooth out the data further and can act as a dynamic support or resistance level within the indicator pane.
White Noise Filter (Optional): This feature displays a histogram that represents market noise. It can be toggled on or off. Analyzing the histogram's behavior may provide additional context on the stability or volatility of the current trend.
Dynamic Background: The background of the indicator pane can change color to highlight periods where the momentum is particularly strong, based on the position of the moving average.
Suggested Use and Interpretation
Traders might use this indicator in several ways:
Trend Identification: Observe the color and position of the main oscillator. A predominantly bullish-colored oscillator above the zero line may suggest an upward trend, while a bearish-colored one below zero may suggest a downward trend.
Signal Confirmation: Look for the oscillator to cross key levels (like +/-40 or +/-60) in the direction of a suspected trend as a confirmation signal.
Divergence Analysis: When the price makes a new high or low that is not confirmed by a new high or low on the FSVZO oscillator (a divergence), it can be a warning of potential weakness in the trend. The "ℝ" and "ℍ" labels help to identify these scenarios.
Extreme Readings: Readings near the +85 or -85 levels can indicate that a price move may be overextended, which could precede a pause or reversal.
Customization Options
The indicator includes settings groups that allow you to adjust its behavior and appearance:
FSVZO Settings: Adjust parameters like Length and Sensitivity to make the oscillator more or less responsive to market movements.
Signals & Display: Modify visual aspects such as Smooth Length and Glowing Amount, or toggle features like the dynamic background on and off.
Colors: Choose from several pre-set color palettes to suit your visual preferences.
⚠️Disclaimer
This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
UKDT Level 1 short average bias indicatorUKDT Level 1 short average bias indicator.
Short averages displayed with bias indicator background colours.
All configurable in settings.
10MAs + BB10 MAs riboon + Bollinger Bands
I used two basic Multiple MA ribbons. so I just merge them to one indicaotor
Disparity Index with 4 EMAsDisparity Index with 4 EMAs
(ema - close ) / ema * 100
or
(ema - close0 / close * 100
Ultra Simple ReversalThis is a simple script that combines Key Features:
✅ No plotting - Only text labels and candle color changes
✅ Reversal candle detection - Changes candle color on high-probability signals
✅ BUY/SELL text labels - Clear directional signals
✅ Four-module confluence - SSL + Squeeze + MTF Pivots + ORB Breakout
✅ Non-repainting - Reliable signals using proper security calls
✅ Pine Script v6 compatible - All syntax errors fixed
EMA Regime (9/20/50/100/200) — Stacked with 200 FilterEMA Regime (9/20/50/100/200) — Stacked Long/Short Box
Plots the 9, 20, 50, 100, and 200 EMAs on the chart.
Checks if price is above or below each EMA and whether the EMAs are stacked in order.
LONG signal: price above all selected EMAs and EMAs stacked 9 > 20 > 50 > 100 >(> 200 if strict mode on).
SHORT signal: price below all selected EMAs and EMAs stacked 9 < 20 < 50 < 100 (< 200 if strict mode on).
Shows a two-row table (LONGS / SHORTS) so you can quickly see which EMAs are aligned.
Optionally colors candles green/red when a full long/short regime is active.
Can show labels when a new LONG or SHORT condition appears.
Has alerts you can use for automated notifications when the regime flips.
“Use 200 EMA in the stack” lets you choose ultra-strict mode (9>20>50>100>200) or lighter mode (9>20>50>100 but price & 9 above 200).
TW All in OneIts a overlap strategy, giving signals for buy and sell.
Mostly suitable for Bank Nifty. Nifty and crude oil
Capitulation DayThe idea is that when US indexes are >10% below their 50,100,200sma it is a capitulation day.
MajorTop DeltaVol ma5-52wThe idea is to identify major tops on the weekly when both are above 0 at the same time; to look just for mkt tops.
Major tops use to drag on for a little with increasing volatility before crashing.
green is 5-52sma
fuchsia 3-9sma
Sma are on the candle's range ratio on the close.
Universal Valuation ~ GForge
🎯 Universal Valuation - GForge
Overview:
The Universal Valuation indicator is a sophisticated technical analysis tool that combines 14 different technical indicators into a single, normalized composite Z-score. This revolutionary approach provides traders and investors with a comprehensive view of an asset's relative valuation state, helping identify potential overvalued and undervalued conditions across any market, any timeframe .
🌟 Key Features:
Multi-Indicator Fusion: Combines RSI, CCI, Bollinger Bands, Price Analysis, Chande Momentum, Disparity Index, Hurst Exponent, IMI, TEMA, VWAP, Intraday Momentum, and advanced Risk Ratios (Sharpe, Sortino, Omega)
Universal Compatibility: Works seamlessly across stocks, forex, crypto, commodities, indices, and any tradeable asset
Multi-Timeframe Support: Optimized for all timeframes from 1-minute scalping to monthly long-term analysis
Professional Visualization: 9 stunning color themes with gradient effects and customizable styling
Comprehensive Dashboard: Real-time table displaying individual indicator scores and overall valuation phase
Smart Alert System: Built-in notifications for extreme valuation conditions
Z-Score Normalization: All indicators standardized for consistent comparison and interpretation
🔬 Technical Methodology:
The indicator employs advanced statistical normalization using Z-scores to transform disparate technical indicators into a unified measurement system. This revolutionary approach solves the fundamental problem of combining indicators with different scales and ranges.
1H MNT
Z-Score Normalization Process:
Raw Calculation: Each indicator is first calculated using its traditional formula (RSI 0-100, CCI unlimited range, etc.)
Statistical Analysis: For each indicator, the system calculates a rolling mean and standard deviation over a customizable lookback period
Z-Score Conversion: Current reading is converted using: Z = (Current Value - Rolling Mean) / Rolling Standard Deviation
Standardization: All Z-scores are clamped between -5 and +5 to prevent extreme outliers from dominating the composite
Democratic Weighting: Each normalized indicator contributes equally to the final composite score
Composite Calculation: Final score = Sum of all active Z-scores / Number of active indicators
Why Z-Scores Make It Universal:
Z-scores transform any indicator reading into "how many standard deviations away from normal this reading is." This means:
• An RSI of 85 on a volatile crypto might have the same Z-score as an RSI of 75 on a stable stock
• A CCI reading of +200 in a trending market might be less extreme than +100 in a ranging market
• Price movements are automatically adjusted for each asset's historical volatility
• Different timeframes are automatically normalized for their typical volatility patterns
This mathematical approach ensures the indicator adapts to any asset's unique characteristics and market conditions.
📊 Detailed Component Analysis:
Technical Indicators:
RSI (Relative Strength Index):
Calculates momentum by comparing recent gains to recent losses over a customizable period (default 21). Values above 70 traditionally indicate overbought conditions, while values below 30 suggest oversold conditions. The Universal Valuation converts these raw RSI values into Z-scores, providing a normalized view of how extreme current RSI readings are compared to historical patterns.
CCI (Commodity Channel Index):
Measures the current price level relative to an average price level over a given period (default 30). CCI compares the typical price (high+low+close)/3 to its simple moving average and divides by the mean absolute deviation. Values above +100 or below -100 indicate price extremes. Our Z-score normalization helps identify when CCI readings are statistically significant.
Bollinger Bands Position:
Calculates where the current price sits within the Bollinger Bands envelope. A value of +1 means price is at the upper band, -1 at the lower band, and 0 at the middle (SMA). This component measures price deviation from the mean in standard deviation units, making it naturally statistical. The Z-score normalization reveals when band position readings are historically extreme.
Price Z-Score:
Direct statistical measurement of how far the current price deviates from its historical mean in standard deviation units. This is the purest form of valuation measurement, showing whether an asset is trading at statistically significant levels relative to its historical price range.
Momentum Indicators:
Chande Momentum Oscillator (CMO):
Unlike RSI, CMO uses the sum of gains and losses rather than averages, making it more sensitive to recent price changes. It calculates (sum of gains - sum of losses) / (sum of gains + sum of losses) × 100. Values range from -100 to +100. The Z-score normalization helps identify when momentum readings are unusually extreme.
Disparity Index:
Measures the percentage difference between current price and its simple moving average: (Price - SMA) / SMA × 100. This shows how far price has deviated from its average, with positive values indicating price above average and negative values below. Z-score normalization reveals when these deviations are statistically significant.
Intraday Momentum Index (IMI):
Similar to RSI but uses intraday price movements instead of closing prices. It compares gains and losses within each session (close vs open) rather than session-to-session changes. This captures intraday sentiment and momentum that closing-based indicators might miss. Particularly useful for detecting intraday reversal patterns.
Intraday Momentum:
Simple but effective measurement of daily price movement: (Close - Open) / Open × 100. This shows the percentage gain or loss within each trading session. When Z-score normalized, it reveals when intraday movements are historically extreme, often indicating climax buying or selling conditions.
Advanced Indicators:
TEMA (Triple Exponential Moving Average):
A sophisticated moving average that applies exponential smoothing three times to reduce lag while maintaining responsiveness. TEMA = 3×EMA₁ - 3×EMA₂ + EMA₃, where each EMA is applied to the previous result. The Z-score of TEMA helps identify when price has moved significantly away from this responsive trend line.
VWAP (Volume Weighted Average Price):
Calculates the average price weighted by volume, giving more importance to prices where more volume occurred. VWAP = Σ(Price × Volume) / Σ(Volume). This represents the "fair value" based on actual trading activity. Z-score normalization shows when current VWAP is statistically extreme relative to historical VWAP levels.
Hurst Exponent:
Advanced mathematical concept measuring market efficiency and trend persistence. Values near 0.5 indicate random walk (efficient market), above 0.5 suggest trending behavior, and below 0.5 indicate mean-reverting markets. The indicator converts this to an oscillator: (Hurst - 0.5) × 100, then applies Z-score normalization to identify extreme efficiency/inefficiency periods.
Risk Ratios:
Sharpe Ratio:
Classic risk-adjusted return measure: (Return - Risk-free Rate) / Standard Deviation of Returns. Higher values indicate better risk-adjusted performance. The Z-score normalization reveals when current risk-adjusted returns are historically high or low, helping identify periods of exceptional or poor risk-adjusted performance.
Sortino Ratio:
Improvement over Sharpe ratio that only penalizes downside volatility: (Return - Risk-free Rate) / Downside Deviation. This gives a more accurate picture of risk-adjusted returns since upside volatility isn't necessarily bad. Z-score normalization helps identify when downside risk-adjusted returns reach extreme levels.
Omega Ratio:
Sophisticated risk measure that considers the probability-weighted ratio of gains versus losses above a threshold: Σ(Gains above threshold) / Σ(Losses below threshold). Values above 1.0 indicate positive expected returns above the threshold. Z-score normalization reveals when probability-weighted risk/reward ratios reach historically significant levels.
🎨 Valuation Phases:
The composite Z-score translates into clear valuation phases:
🔵 Extremely Undervalued: Z-Score ≤ -2.0 (Rare buying opportunities)
🟦 Strongly Undervalued: Z-Score ≤ -1.3 (Strong buying signals)
🟨 Moderately Undervalued: Z-Score ≤ -0.65 (Potential value plays)
⚪ Fairly Valued: Z-Score -0.65 to 0.5 (Neutral territory)
🟨 Slightly Overvalued: Z-Score 0.5 to 1.2 (Caution advised)
🟧 Moderately Overvalued: Z-Score 1.2 to 2.0 (Consider profit-taking)
🔴 Strongly Overvalued: Z-Score > 2.0 (High risk, potential sell signals)
12H GOLD
🌍 Universal Application:
Why "Universal"?
Timeframe Independent: Statistical normalization adapts to any timeframe's volatility characteristics
Market Neutral: Works across different market conditions (trending, ranging, volatile, calm)
Configurable Components: Enable/disable specific indicators based on asset type and market conditions
Adaptive Parameters: All lookback periods are customizable for different trading styles
💡 Optimal Use Cases:
Swing Trading: Identify intermediate-term reversal points
Position Trading: Long-term value assessment for portfolio allocation
Day Trading: Intraday extreme condition alerts
Risk Management: Position sizing based on valuation extremes
Multi-Asset Analysis: Compare relative value across different instruments
Market Timing: Entry and exit point optimization
⚙️ Customization Options:
Component Selection: Enable/disable any of the 14 indicators
Lookback Periods: Adjust Z-score calculation periods for each component
Visual Themes: 9 professional color schemes plus custom colors
Alert Thresholds: Configurable extreme condition notifications
Dashboard Display: Toggle individual component visibility
Background Highlighting: Visual emphasis for extreme conditions
🎯 Interpretation Guide:
For Long Positions:
• Look for Z-scores below -1.3 for entry opportunities
• Consider profit-taking when Z-scores exceed +1.2
• Use extreme readings (< -2.0) for high-conviction entries
For Short Positions:
• Look for Z-scores above +2.0 for entry opportunities
• Cover positions when Z-scores fall below +0.5
• Avoid shorting during extreme undervaluation (< -1.3)
For Risk Management:
• Reduce position sizes during overvalued conditions
• Increase allocation during undervalued periods
• Use neutral zones (±0.5) for position adjustments
🔔 Alert System:
Built-in alerts notify you when:
Composite score enters/exits strong overvalued territory (±2.0)
Composite score enters/exits strong undervalued territory (±1.3)
Extreme conditions are reached (±2.5 for overvalued, -2.0 for undervalued)
Neutral crossovers occur (useful for trend changes)
📈 Performance Optimization:
The indicator includes several performance optimizations:
Efficient calculation methods to minimize processing load
Clamped Z-scores to prevent extreme outliers
Optimized table rendering for smooth operation
🎨 Visual Elements:
Main Plot: Composite Z-score line with dynamic gradient coloring
Zone Fills: Visual bands showing valuation regions
Reference Lines: Key threshold levels clearly marked
Background Highlighting: Extreme condition emphasis
Dashboard Table: Comprehensive component breakdown
Bar Coloring: Optional candlestick coloring based on valuation
🔧 Technical Requirements:
Requires sufficient historical data for accurate Z-score calculations
Recommended minimum: 300+ bars for optimal performance
Works on all TradingView subscription levels
📚 Educational Value:
This indicator serves as an excellent educational tool for:
Understanding statistical normalization in trading
Learning how multiple indicators can be combined effectively
Studying market valuation concepts across different assets
Developing a systematic approach to market analysis
⚠️ Important Notes:
The indicator works best with sufficient historical data
Consider market context and fundamental factors alongside technical signals
Backtest thoroughly before implementing in live trading
Adjust parameters based on specific asset characteristics and trading timeframe
Use in conjunction with other analysis methods for best results
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⚠️ DISCLAIMER:
This indicator is provided for educational and informational purposes only and should not be considered as financial advice, investment advice, trading advice, or any other type of advice.
The Universal Valuation indicator is a technical analysis tool that provides statistical information about price movements and market conditions. It does not guarantee profits or predict future market movements with certainty.
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Developed with precision for the TradingView community ~ GForge
Bullish_1Hour_entry_Indicator with AlertsIt uses EMAs convergence & VWAP confirmation along with multi Time frame analysis
RSI: alternative derivationMost traders accept the Relative Strength Index (RSI) as a standard tool for measuring momentum. But what if RSI is actually a position indicator?
This script introduces an alternative derivation of RSI, offering a fresh perspective on its true nature. Instead of relying on the traditional calculation of average gains and losses, this approach directly considers the price's position relative to its equilibrium (moving average), adjusted for volatility.
While the final value remains identical to the standard RSI, this alternative derivation offers a completely new understanding of the indicator.
Key components:
Price (Close)
Utilizes the closing price, consistent with the original RSI formula.
normalization factor
Transforms raw calculations into a fixed range between -1 and +1.
normalization_factor = 1 / (Length - 1)
EMA of Price
Applies Wilder’s Exponential Moving Average (EMA) to the price, serving as the anchor point for measuring price position, similar to the traditional RSI formula.
myEMA = ta.rma(close,Length)
EMA of close-to-close absolute changes (unit of volatility)
Adjusts for market differences by applying a Wilder’s EMA to absolute price changes (volatility), ensuring consistency across various assets.
CC_vol = ta.rma(math.abs(close - close ),Length)
Calculation Breakdown
DISTANCE:
Calculate the difference between the closing price and its Wilder's EMA. A positive value indicates the price is above the EMA; a negative value indicates it is below.
distance = close - myEMA
STANDARDIZED DISTANCE
Divide the distance by the unit of volatility to standardize the measurement across different markets.
S_distance = distance / CC_vol
NORMALIZED DISTANCE
Normalize the standardized distance using the normalization factor (n-1) to adjust for the lookback period.
N_distance = S_distance * normalization_factor
RSI
Finally, scale the normalized distance to fit within the standard RSI range of 0 to 100.
myRSI = 50 * (1 + N_distance)
The final equation:
RSI = 50 ×
What This Means for RSI
Same RSI Values, Different Interpretation
The standard RSI formula may obscure its true measurement, whereas this approach offers clarity.
RSI primarily indicates the price's position relative to its equilibrium, rather than directly measuring momentum.
RSI can still be used to analyze momentum, but in a more intuitive and well-informed way.
Smart TP Manager V.1.0🔹 Smart TP Manager V1.0 is a complete trade management tool for TradingView.
It allows you to:
Automatically detect Long/Short signals using EMA crossovers, RSI filter, higher-timeframe EMA trend, and ADX.
Calculate and display a dynamic Stop Loss based on ATR.
Automatically set TP1, TP2, TP3 with Breakeven management (risk set to zero after TP1).
Track performance with a statistics table (Win/Loss, BE, win rate, net profit in R).
Get a clear visual display of entries, SL, and TP with colored lines and labels.
Receive automatic alerts for every signal or target reached.
📊 It’s a risk and trade exit management assistant designed to optimize your trades and secure your profits.
Session ORB 15m Synced + Pre-Sessions + MAs (final v3)Session ORB Live Pro — Pre-Market Boxes & MA Suite
Description (EN):
Session ORB Live Pro is a Pine v6 indicator built for intraday traders who rely on Opening Range Breakouts. It draws session boxes for London, New York, and Asia—plus configurable Pre-London and Pre-New York windows—live from the very first candle (no waiting for 10 bars). The high/low levels update in real time, and optional breakout alerts fire the moment price closes beyond the range. To keep charts clean and relevant for scalping, the boxes auto-hide on chart timeframes above 20 minutes.
Beyond ranges, the tool adds a compact moving-average suite: SMA-50 and RMA-200 out of the box, plus three fully customizable MAs (SMA/EMA/RMA/WMA/HMA) with selectable color, thickness, and style (line, stepline, circles). Each session and pre-session can be toggled on/off and tinted with its own color, so you can tailor the visual map of liquidity grabs and range breaks to your strategy.
Key features
Live ORB boxes for London, New York, Asia (no 10-bar delay).
Pre-sessions: Pre-London & Pre-New York with independent time windows and colors.
Auto visibility filter: boxes show only on ≤ 20m chart TF; hidden on higher TFs.
Breakout alerts when price closes above/below the session range (ready for alert() rules).
MA toolkit: SMA-50, RMA-200 + 3 user MAs (SMA/EMA/RMA/WMA/HMA) with color, style, and width.
Clean inputs using input.session; robust, low-friction UX.
How to use
Set your ORB calculation timeframe (e.g., 15m) and choose which sessions/pre-sessions to display.
Pick colors for each box and enable alerts if you want instant breakout notifications.
Configure the MA suite for trend bias and dynamic S/R (e.g., SMA-50 for momentum, RMA-200 for bias).
Trade the first clean break or the retest of the ORB extremes—your choice. The visual map updates tick by tick.
BTC Momentum Strategy - RSI & Stoch RSI Entry and EMA ExitBTC Momentum Strategy: RSI & Stoch RSI Entry with EMA Exit
This strategy is designed to identify potentially strong entry points for Bitcoin (BTC) during periods of shifting momentum and then ride the trend until it shows signs of weakness. It's a straightforward, long-only strategy, meaning it only looks for opportunities to buy and then sell for a profit.
How It Works:
The strategy combines a few classic indicators to make its decisions. Think of it as a two-step confirmation system for buying, with a simple rule for selling.
1. The Buy Signal (Green Triangle)
To generate a buy signal, the strategy looks for two things to happen at the same time:
RSI Confirmation: It first waits for the Relative Strength Index (RSI) to show signs of bullish momentum. Specifically, it's looking for the RSI line to cross above its own moving average, suggesting that strength is starting to build from a lower level. This helps catch moves as they begin to turn positive.
Stochastic RSI Confirmation: As an extra layer of confirmation, it also checks the Stochastic RSI. This helps filter out weaker signals and confirm that momentum is truly shifting upwards from an oversold or "bottomed-out" condition.
When both of these conditions are met, a green "buy" triangle will appear below the candle, and the strategy will enter a long position.
2. The Sell Signal (Red Triangle)
The exit rule is simple and designed to let your winners run while protecting you when the trend reverses.
* EMA-Based Exit: The strategy plots an orange line on your chart, which is an Exponential Moving Average (EMA). The strategy will hold the position as long as the price stays above this line. If a candle closes *below* the orange EMA line, it's taken as a sign that the short-term trend is weakening, and the strategy will close the position to lock in profits or cut losses. A red "sell" triangle will appear above that candle.
Best Use:
This strategy was built with Bitcoin in mind and tends to perform best on higher timeframes like the Weekly charts. It aims to capture major swings rather than small, quick scalps.
You can adjust all the settings for the RSI, Stochastic RSI, and the Exit EMA to fine-tune the strategy to your own trading style.
MACD (The Moving Average Convergence Divergence)The Moving Average Convergence Divergence (MACD) is a momentum indicator used in technical analysis to identify trends, measure their strength, and signal potential reversals. It is calculated by subtracting the 26-period Exponential Moving Average (EMA) from the 12-period EMA, creating the MACD line. A 9-period EMA of the MACD line, known as the signal line, is then plotted to generate buy or sell signals. Positive MACD values suggest upward momentum, while negative values indicate downward momentum. Traders often watch for crossovers, divergences, and movements relative to the zero line to make informed decisions.
AMHA + 4 EMAs + EMA50/200 Counter + Avg10CrossesDescription:
This script combines two types of Heikin-Ashi visualization with multiple Exponential Moving Averages (EMAs) and a counting function for EMA50/200 crossovers. The goal is to make trends more visible, measure recurring market cycles, and provide statistical context without generating trading signals.
Logic in Detail:
Adaptive Median Heikin-Ashi (AMHA):
Instead of the classic Heikin-Ashi calculation, this method uses the median of Open, High, Low, and Close. The result smooths out price movements, emphasizes trend direction, and reduces market noise.
Standard Heikin-Ashi Overlay:
Classic HA candles are also drawn in the background for comparison and transparency. Both HA types can be shifted below the chart’s price action using a customizable Offset (Ticks) parameter.
EMA Structure:
Five exponential moving averages (21, 50, 100, 200, 500) are included to highlight different trend horizons. EMA50 and EMA200 are emphasized, as their crossovers are widely monitored as potential trend signals. EMA21 and EMA100 serve as additional structure layers, while EMA500 represents the long-term trend.
EMA50/200 Counter:
The script counts how many bars have passed since the last EMA50/200 crossover. This makes it easy to see the age of the current trend phase. A colored label above the chart displays the current counter.
Average of the Last 10 Crossovers (Avg10Crosses):
The script stores the last 10 completed count phases and calculates their average length. This provides historical context and allows traders to compare the current cycle against typical past behavior.
Benefits for Analysis:
Clearer trend visualization through adaptive Heikin-Ashi calculation.
Multi-EMA setup for quick structural assessment.
Objective measurement of trend phase duration.
Statistical insight from the average cycle length of past EMA50/200 crosses.
Flexible visualization through adjustable offset positioning below the price chart.
Usage:
Add the indicator to your chart.
For a clean look, you may switch your chart type to “Line” or hide standard candlesticks.
Interpret visual signals:
White candles = bullish phases
Orange candles = bearish phases
EMAs = structural trend filters (e.g., EMA200 as a long-term boundary)
The counter label shows the current number of bars since the last cross, while Avg10 represents the historical mean.
Special Feature:
This script is not a trading system. It does not provide buy/sell recommendations. Instead, it serves as a visual and statistical tool for market structure analysis. The unique combination of Adaptive Median Heikin-Ashi, multi-EMA framework, and EMA50/200 crossover statistics makes it especially useful for trend-followers and swing traders who want to add cycle-length analysis to their toolkit.
Adaptive Jump Moving AverageAdaptive Jump Moving Average - Description
This indicator solves the classic moving average lag problem during significant price moves. Traditional MAs (like the 200-day) take forever to catch up after a major drop or rally because they average across all historical periods equally.
How it works:
Tracks price smoothly during normal market conditions
When price moves 20%+ away from the MA, it immediately "resets" to the current price level
Treats that new level as the baseline and continues smooth tracking from there
Advantages over normal MA:
No lag on major moves: A 40% crash doesn't get diluted over 200 days - the MA instantly adapts
Reduces false signals: You won't get late "death cross" signals months after a crash already happened
Better support/resistance: The MA stays relevant to current price action instead of reflecting outdated levels
Keeps the smoothness: During normal volatility, it behaves like a traditional MA without the noise of shorter periods
DHYT 6 MAs, BMSB, Pi Cycle TopThis indicator has 6 Moving averages that are highly customizable and visible on all time frames, it also includes the Bull Market Support Band (BMSB) and the Pi Cycle Top indicator which has been very good at predicting Cycle Tops for Bitcoin (BTC).
You can customize all the moving averages, as well as using simple or exponential. You can also easily customize colors and line weights.
Created by: Dan Heilman
Price–MA Separation (Z-Score)Price–MA Separation (Z-Score + Shading)
This indicator measures how far price is from a chosen moving average and shows it in a separate pane.
It helps traders quickly spot overextended moves and mean-reversion opportunities.
⸻
What it does
• Calculates the separation between price and a moving average (MA):
• In Points (Price − MA)
• In Percent ((Price / MA − 1) × 100%)
• Converts that separation into a Z-Score (statistical measure of deviation):
• Z = (Separation − Mean) ÷ StdDev
• Highlights when price is unusually far from the MA relative to its recent history.
⸻
Visuals
• Histogram bars:
• Green = above the MA,
• Orange = below the MA.
• Intensity increases with larger Z-Scores.
• Zero line: red baseline (price = MA).
• Z threshold lines:
• +T1 = light red (mild overbought)
• +T2 = dark red (strong overbought)
• −T1 = light green (mild oversold)
• −T2 = dark green (strong oversold)
• Default thresholds: ±1 and ±2.
⸻
Settings
• MA Type & Length: Choose between SMA, EMA, WMA, VWMA, or SMMA (RMA).
• Units: Show separation in Points or Percent.
• Plot Mode:
• Raw = distance in points/percent.
• Z-Score = standardized deviation (default).
• Absolute Mode: Show only magnitude (ignore direction).
• Smoothing: Overlay a smoothed line on the histogram.
• Z-Bands: Visual guides at ± thresholds.
⸻
How to use
• Look for large positive Z-Scores (red zones): price may be stretched far above its MA.
• Look for large negative Z-Scores (green zones): price may be stretched far below its MA.
• Use as a mean-reversion signal or to confirm trend exhaustion.
• Works well with:
• Swing entries/exits
• Overbought/oversold conditions
• Filtering other signals (RSI, MACD, VWAP)
⸻
Notes
• Z-Scores depend on the lookback window (default = 100 bars). Adjust for shorter/longer memory.
• Strong deviations don’t always mean reversal—combine with other tools for confirmation.
• Not financial advice. Always manage risk.
⸻
Try adjusting the MA length and Z-Score thresholds to fit your trading style.
VIX BanditThis is a momentum indicator that identifies potential VIX bottoms by using seven configurable Williams %R oscillators simultaneously.
Green dots🟢appear below the bar when all %R series agree the VIX is extremely oversold.
Fuchsia dots🟣appear above the bar when VIX reverts to its long-term average (an EMA).
I hope this helps you spot moments of maximum optimism and trade the subsequent panic, somehow.
X Trend dashboard (Lite)X Trend Dashboard
The X Trend Dashboard provides an instant snapshot of market sentiment by analyzing the aggregate "pressure" from 11 classic technical indicators. This version features a flexible EMA Fan (Fast, Medium, and Slow EMAs) instead of fixed timeframes, allowing for greater adaptability to any chart.
This tool is ideal for quickly assessing current market strength and identifying moments when bulls or bears are in control. The panel also displays the asset's correlation with BTC and ETH for additional market context.
Settings
Dashboard Settings: Change the panel's appearance and position.
Correlation Settings: Configure the BTC and ETH correlation.
Indicator Components: Enable or disable any of the indicators, including the three customizable EMAs, to tailor the pressure calculation to your trading style.
