Institutional MACD (Z-Score Edition) [VolumeVigilante]📈 Institutional MACD (Z-Score Edition) — Professional-Grade Momentum Signal
This is not your average MACD .
The Institutional MACD (Z-Score Edition) is a statistically enhanced momentum tool, purpose-built for serious traders and breakout hunters . By applying Z-Score normalization to the classic MACD structure, this indicator uncovers statistically significant momentum shifts , enabling cleaner reads on price extremes, trend continuation, and potential reversals.
💡 Why It Matters
The classic MACD is powerful — but raw momentum values can be noisy and relative , especially on volatile assets like BTC/USD . By transforming the MACD line, signal line, and histogram into Z-scores , we anchor these signals in statistical context . This makes the Institutional MACD:
✔️ Timeframe-agnostic and asset-normalized
✔️ Ideal for spotting true breakouts , not false flags
✔️ A reliable tool for detecting momentum divergence and exhaustion
🧪 Key Features
✅ Full Z-Score normalization (MACD, Signal, Histogram)
✅ Highlighted ±Z threshold bands for overbought/oversold zones
✅ Customizable histogram coloring for visual momentum shifts
✅ Built-in alerts for zero-crosses and Z-threshold breaks
✅ Clean overlay with optional display toggles
🔁 Strategy Tip: Mean Reversion Signals with Statistical Confidence
This indicator isn't just for spotting breakouts — it also shines as a mean reversion tool , thanks to its Z-Score normalization .
When the Z-Score histogram crosses beyond ±2, it marks a statistically significant deviation from the mean — often signaling that momentum is overstretched and the asset may be due for a pullback or reversal .
📌 How to use it:
Z > +2 → Price action is in overbought territory. Watch for exhaustion or short setups.
Z < -2 → Momentum is deeply oversold. Look for reversal confirmation or long opportunities.
These zones often precede snap-back moves , especially in range-bound or corrective markets .
🎯 Combine Z-Score extremes with:
Candlestick confirmation
Support/resistance zones
Volume or price divergence
Other mean reversion tools (e.g., RSI, Bollinger Bands)
Unlike the raw MACD, this version delivers statistical thresholds , not guesswork — helping traders make decisions rooted in probability, not emotion.
📢 Trade Smart. Trade Vigilantly.
Published by VolumeVigilante
Centered Oscillators
[blackcat] L3 Magic-9 Sequential MACDOVERVIEW
The L3 Magic-9 Sequential MACD indicator is an advanced tool designed to enhance the traditional Moving Average Convergence Divergence (MACD) by incorporating sequential patterns. This script calculates various MACD components and applies custom logic to identify potential buy and sell signals based on specific sequential conditions 📊💹.
FEATURES
Calculates MACD Line, Signal Line, and enhanced histogram.
Plots colored histograms to visualize differences between MACD line and signal line:
Positive histogram bars indicate bullish momentum.
Negative histogram bars indicate bearish momentum.
Identifies sequential patterns in the MACD line for generating buy ('Buy') and sell ('Sell') signals 🏷️.
Adds numerical labels (e.g., '5', '6', '7', etc.) to mark specific sequential conditions.
Supports customizable colors and styles for plotted elements ⚙️.
Generates alerts for identified sequential patterns 🔔.
HOW TO USE
Add the indicator to your TradingView chart by selecting it from the indicators list.
Adjust the input parameters for Fast Length, Slow Length, and Signal Length.
Monitor the chart for labeled buy/sell signals and numerical markers indicating sequential patterns.
Set up alerts based on the generated signals to receive notifications when conditions are met 📲.
Use the indicator alongside other technical analysis tools for better decision-making.
LIMITATIONS
The effectiveness of sequential patterns may vary depending on market conditions.
False signals can occur in highly volatile or ranging markets 🌪️.
Users should always confirm signals with other forms of analysis before entering trades.
NOTES
Ensure that you have sufficient historical data available for accurate MACD calculations.
Test the indicator thoroughly on demo accounts before applying it to live trading 🔍.
Customize the appearance of the plotted elements as needed to suit your chart layout.
RSI + SuperTrend Filter Strategy (45m BTCUSDT)🧠 Strategy Breakdown: RSI + SuperTrend Filter (45m BTCUSDT)
This strategy is built on a simple yet powerful principle: don’t fight the trend — and never ignore momentum exhaustion.
At its core, this setup looks for RSI-based reversal entries, but only when price action aligns with the underlying trend structure, defined by a modified SuperTrend. This combo filters out a large chunk of noise you typically get with RSI alone on lower timeframes.
📊 How It Works
Longs trigger when RSI crosses up from oversold and SuperTrend confirms a bullish bias.
Shorts trigger when RSI crosses down from overbought and SuperTrend confirms a bearish structure.
Each entry is paired with a tight SL (1%) and dynamic TP (1.5%), offering favorable risk:reward setups.
The script includes clean chart visuals — background zones, SL/TP lines, and real-time trend bands — built for clarity and decision speed.
⚙️ Why It Works
Too many RSI strategies reverse blindly — this doesn’t. By combining RSI oversold/overbought conditions with a directional SuperTrend filter, you get higher-quality entries, especially during high-volatility phases.
This is not designed for sideways markets — it’s meant to catch clean swings in structured trends. The 45m TF adds breathing room for better signal quality while still allowing for decent trade frequency.
📈 Backtest Snapshot (3m logic on 45m BTCUSDT)
💰 +213,885 USDT total P&L
🧠 239 trades, with solid coverage across sessions
📉 15% max drawdown
⚖️ Profit factor: 1.12
🔁 Dynamic execution-ready — ideal for automation or manual confirmations
🔧 Built For Traders Who:
Want non-repainting structure they can trust
Prefer mechanical entries with visual context
Are experimenting with automation-ready setups
Need something they can tweak and expand on
🔥 If you're serious about combining clean signals with trend confirmation — this is a solid foundation. Drop a comment if you want the multi-timeframe version or ideas on adding volume-based confirmations.
Scalping Strategy (by Plan-F7)Scalping Strategy (by Plan-F7)
A powerful scalping indicator optimized for lower timeframes (5-min and 15-min).
It combines multiple technical indicators for high-probability entries:
RSI & Stochastic RSI for overbought/oversold signals
MACD for trend confirmation
EMA 9 & EMA 21 to define trend direction
ADX to filter trades based on trend strength
ATR for dynamic Take Profit and Stop Loss levels
How to use:
Green arrow with "BUY" label = Buy Signal
Red arrow with "SELL" label = Sell Signal
TP and SL levels are automatically plotted
Best used on 5-min or 15-min charts for fast entries
Supports visual and audio alerts
مؤشر سكالبينج (Scalping Strategy by Plan-F7)
مصمم خصيصًا للتداول السريع على الفريمات الصغيرة (5 دقائق و15 دقيقة).
يعتمد على دمج عدة مؤشرات فنية قوية:
RSI و Stochastic RSI لتحديد مناطق التشبع الشرائي/البيعي
MACD لتأكيد الاتجاه
المتوسطات المتحركة (EMA 9 و 21) لتحديد الاتجاه العام
ADX لتأكيد قوة الاتجاه قبل الدخول
ATR لحساب الأهداف (Take Profit) ووقف الخسارة (Stop Loss) بشكل ديناميكي
طريقة الاستخدام:
إشارات الشراء تظهر بسهم أخضر وكلمة "BUY"
إشارات البيع تظهر بسهم أحمر وكلمة "SELL"
تظهر خطوط على الشارت تمثل الأهداف ووقف الخسارة
يمكن استخدامه على فريم 5 أو 15 دقيقة لتحقيق صفقات سريعة بدقة عالية
يدعم تنبيهات بصرية وصوتية
Frozen Bias Zones – Sentiment Lock-insOverview
The Frozen Bias Zones indicator visualizes market sentiment lock-ins using a combination of RSI, MACD, and OBV. It creates "bias zones" that indicate whether the market is in a sustained bullish or bearish phase. These zones are then highlighted on the chart, helping traders spot when the market is locked in a bias. The script also detects breakout events from these zones and marks them with clear labels for easier decision-making.
Features
Multi-Indicator Sentiment Analysis: Combines RSI, MACD, and OBV to detect synchronized bullish or bearish sentiment.
Frozen Bias Zones: Identifies and visually represents zones where the market has remained in a particular sentiment (bullish or bearish) for a defined period.
Breakout Alerts: Displays labels to indicate when the price breaks out of the established bias zone.
Customizable Inputs: Adjust the zone duration, RSI, MACD, and breakout label visibility.
Input Parameters
Bias Duration (biasLength)
The minimum number of candles the market must stay in a specific sentiment to consider it a "Frozen Bias Zone".
Default: 5 candles.
RSI Period (rsiPeriod)
Period for the Relative Strength Index (RSI) calculation.
Default: 14 periods.
MACD Settings
MACD Fast (macdFast): The fast-moving average period for the MACD calculation.
Default: 12.
MACD Slow (macdSlow): The slow-moving average period for the MACD calculation.
Default: 26.
MACD Signal (macdSig): The signal line period for MACD.
Default: 9.
Show Break Label (showBreakLabel)
Toggle to show labels when the price breaks out of the bias zone.
Default: True (shows label).
Bias Zone Colors
Bullish Bias Color (bullColor): The color for bullish zones (light green).
Bearish Bias Color (bearColor): The color for bearish zones (light red).
How It Works
This indicator analyzes three key market metrics to determine whether the market is in a bullish or bearish phase:
RSI (Relative Strength Index)
Measures the speed and change of price movements. RSI > 50 indicates a bullish phase, while RSI < 50 indicates a bearish phase.
MACD (Moving Average Convergence Divergence)
Measures the relationship between two moving averages of the price. A positive MACD histogram indicates bullish momentum, while a negative histogram indicates bearish momentum.
OBV (On-Balance Volume)
Uses volume flow to determine if a trend is likely to continue. A rising OBV indicates bullish accumulation, while a falling OBV indicates bearish distribution.
Bias Zone Detection
The market sentiment is considered bullish if all three indicators (RSI, MACD, and OBV) are bullish, and bearish if all three indicators are bearish.
Bullish Zone: A zone is created when the market sentiment remains bullish for the duration of the specified biasLength.
Bearish Zone: A zone is created when the market sentiment remains bearish for the duration of the specified biasLength.
These bias zones are visually represented on the chart as colored boxes (green for bullish, red for bearish).
Breakout Detection
The script automatically detects when the market exits a bias zone. If the price moves outside the bounds of the established zone (either up or down), the script will display one of the following labels:
Bias Break (Up): Indicates that the price has broken upwards out of the zone (with a green label).
Bias Break (Down): Indicates that the price has broken downwards out of the zone (with a red label).
These labels help traders easily identify potential breakout points.
Example Use Case
Bullish Market Conditions: If the RSI is above 50, the MACD histogram is positive, and OBV is increasing, the script will highlight a green bias zone. Traders can watch for potential bullish breakouts or trend continuation after the zone ends.
Bearish Market Conditions: If the RSI is below 50, the MACD histogram is negative, and OBV is decreasing, the script will highlight a red bias zone. Traders can look for potential bearish breakouts when the zone ends.
Conclusion
The Frozen Bias Zones indicator is a powerful tool for traders looking to visualize prolonged market sentiment, whether bullish or bearish. By combining RSI, MACD, and OBV, it helps traders spot when the market is "locked in" to a bias. The breakout labels make it easier to take action when the price moves outside of the established zone, potentially signaling the start of a new trend.
Instructions
To use this script:
Add the Frozen Bias Zones indicator to your TradingView chart.
Adjust the input parameters to suit your trading strategy.
Observe the colored bias zones on your chart, along with breakout labels, to make informed decisions on trend continuation or reversal.
Multi-TF MACD ScannerAn indicator for trading Gold, to track MACD cross and histogram across multiple timeframes (4H, 1H, 15M and 5M).
Liquidity Fracture DetectorThe Liquidity Fracture Detector is an advanced tool designed to identify micro-liquidity traps and structural fakeouts on intraday charts. These occur when the market appears to break out, only to quickly reverse — often triggered by stop hunts, inefficient fills, or manipulated order flow.
The script combines volume spikes, volatility anomalies, and price structure breaks to signal "fractures" — points where the market temporarily breaks its behavior, often followed by strong reversals or trend accelerations.
Detection logic in the script:
Volume spike greater than 2x the average (adjustable)
Volatility spike: candle range is > 1.5x the average
Extreme wicks: wick is larger than the candle body (a classic trap signal)
Structure break: price breaks previous high/low but closes back within the old range
Combine these elements → a “fracture” is marked
Visual representation:
Red background = potential bull trap (fake breakout to the upside)
Green background = potential bear trap (fake breakdown to the downside)
A label appears at each fracture: “Echo” with the number of previous hits
Ideal use cases:
Intraday trading (1m, 5m, 15m)
Crypto, indices, futures, and forex
Detecting reactive zones where the market takes a false direction
Confluence with S/R zones, order blocks, or liquidity pools
Fully customizable:
Volume and range sensitivity
Heatmap intensity
Toggle labels on/off
Note:
This script is intended to support discretionary analysis. It does not provide buy or sell signals and is not an automated strategy. Combine it with your own price action or order flow setup for optimal results.
Slope Change Rate Volume ConfirmationSlope Change Rate Volume Confirmation (SCR)
█ OVERVIEW
This indicator identifies moments where the price trend is not just moving, but accelerating (i.e., the rate of change of the trend's slope is increasing or decreasing significantly), and crucially, whether this acceleration is confirmed by high volume . The core idea is that price acceleration backed by strong volume suggests higher conviction behind the move, potentially indicating the start or continuation of a strong thrust. Conversely, acceleration without volume might be less reliable.
It calculates the slope (velocity) of price movement, then the change in that slope (acceleration). This acceleration is normalized to a -100 to 100 range for consistent threshold application. Finally, it checks if significant acceleration coincides with volume exceeding its recent average.
█ HOW IT WORKS
The indicator follows these steps:
1. Slope Calculation (Velocity):
Calculates the slope of a linear regression line based on the input `Source` over the `Slope Calculation Length`. This represents the instantaneous rate of change or "velocity" of the price trend.
// Calculate linear regression slope (current value - previous value)
slope = ta.linreg(src, slopeLen, 0) - ta.linreg(src, slopeLen, 1)
2. Acceleration Calculation & Normalization:
Determines the bar-to-bar change in the calculated `slope` (`slope - slope `). This raw change represents the "acceleration". This value is then immediately normalized to a fixed range of -100 to +100 using the internal `f_normalizeMinMax` function over the `Volume SMA Length` lookback period. Normalization allows the `Acceleration Threshold` input to be applied consistently.
// Calculate slope change rate (acceleration) and normalize it
// f_normalizeMinMax(source, length, newMin, newMax)
accel = f_normalizeMinMax(slope - slope , volSmaLen, -100, 100)
*( Note: `f_normalizeMinMax` is a standard min-max scaling function adapted to the -100/100 range, included within the script's code.*)*
3. Volume Confirmation Check:
Calculates the Simple Moving Average (SMA) of volume over the `Volume SMA Length`. It then checks if the current bar's volume is significantly higher than this average, defined by exceeding the average multiplied by the `Volume Multiplier Threshold`.
// Calculate average volume
avgVolume = ta.sma(volume, volSmaLen)
// Determine if current volume is significantly high
isHighVolume = volume > avgVolume * volMultiplier
4. Confirmation Signals:
Combines the normalized acceleration and volume check to generate the final confirmation boolean flags:
// Bullish: Price is accelerating upwards (accel > threshold) AND volume confirms
confirmBullishAccel = accel > accelThreshold and isHighVolume
// Bearish: Price is accelerating downwards (accel < -threshold) AND volume confirms
confirmBearishAccel = accel < -accelThreshold and isHighVolume
█ HOW TO USE
Confirmation Filter: The primary intended use is to filter entry signals from another strategy. Only consider long entries when `confirmBullishAccel` is true, or short entries when `confirmBearishAccel` is true. This helps ensure you are entering during periods of strong, volume-backed momentum.
// Example Filter Logic
longEntry = yourPrimaryBuySignal and confirmBullishAccel
shortEntry = yourPrimarySellSignal and confirmBearishAccel
Momentum Identification: High absolute values of the plotted `Acceleration` (especially when confirmed by the shapes) indicate strong directional conviction.
Potential Exhaustion/Divergence: Consider instances where price accelerates significantly (large absolute `accel` values) without volume confirmation (`isHighVolume` is false). This *might* suggest weakening momentum or potential exhaustion, although this requires further analysis.
█ INPUTS
Slope Calculation Length: Lookback period for the linear regression slope calculation.
Volume SMA Length: Lookback period for the Volume SMA and also for the normalization range of the acceleration calculation.
Volume Multiplier Threshold: Factor times average volume to define 'high volume'. (e.g., 1.5 means > 150% of average volume).
Acceleration Threshold: The minimum absolute value the normalized acceleration (-100 to 100 range) must reach to trigger a confirmation signal (when combined with volume).
Source: The price source (e.g., close, HLC3) used for the slope calculation.
█ VISUALIZATION
The indicator plots in a separate pane:
Acceleration Plot: A column chart showing the normalized acceleration (-100 to 100). Columns are colored dynamically based on acceleration's direction (positive/negative) and change (increasing/decreasing).
Threshold Lines: White horizontal dashed lines drawn at the positive and negative `Acceleration Threshold` levels.
Confirmation Shapes:
Green Upward Triangle (▲) below the bar when Bullish Acceleration is confirmed by volume (`confirmBullishAccel` is true).
Red Downward Triangle (▼) above the bar when Bearish Acceleration is confirmed by volume (`confirmBearishAccel` is true).
█ SUMMARY
The SCR indicator is a tool designed to highlight periods of significant price acceleration that are validated by increased market participation (high volume). It can serve as a valuable filter for momentum-based trading strategies by helping to distinguish potentially strong moves from weaker ones. As with any indicator, use it as part of a comprehensive analysis framework and always practice sound risk management.
🔥 PratikMoneyCPTY – AI Crypto Swing SignalCreated by Pratik Patel, this advanced crypto trading tool fuses AI logic with technical indicators—EMA, SuperTrend, MACD, RSI, and candlestick patterns—to identify profitable swing entries. Built for crypto markets like BTC, ETH, and top altcoins on 4H/1D charts. Includes smart alerts, BUY/SELL tags, and popup notifications for actionable insights.
MACD Filtered CrossThis indicator adds on to the standard MACD cross by adding a filter. It can be used to filter only MACD crosses above zero or below zero.
I separated the cross ups and cross downs if you only want to see bullish or bearish crosses.
Personally, I like looking for bullish MACD crosses above 0 for possible longs.
Enjoy!
30 CCI Normalizzati (Daily Reset)This indicator displays the normalized CCI of the top 30 companies in the NASDAQ.
The main utility of the indicator is to identify which company is primarily driving the NASDAQ and which one is not highly correlated, allowing you to anticipate entries into zones that can be considered similar to overbought and oversold conditions, or to spot divergences.
Essentially, this indicator is a composite CCI.
This indicator is designed to be used in combination with other similar tools I've published, which track the RSI, ATR, MACD, etc., of the top 30 NASDAQ companies.
Oath KeeperOath Keeper - Advanced Money Flow & Market Dynamics Indicator
A sophisticated indicator that analyzes market dynamics through money flow patterns, volume analysis, and liquidation detection to identify high-probability trading opportunities.
Core Features:
• Smart Money Flow Analysis: Proprietary calculation of institutional money movement
• Volume-Enhanced Signals: Multi-timeframe volume confirmation
• Liquidation Detection: Identifies potential forced liquidation events
• Advanced Signal Classification: Regular, Super, and Fakeout signals
Signal Types:
1. Regular Signals (Green/Purple Circles)
• Volume-confirmed momentum shifts
• Money flow threshold breaches
• Institutional participation confirmation
2. Super Signals (Green/Purple Squares)
• Deep oversold/overbought reversals
• High-volume rejection patterns
• Liquidation event confirmation
3. Fakeout Signals (Red X)
• Rapid sentiment shifts
• Trap detection
• False breakout warnings
Visual Components:
• Dynamic Money Flow Line (White/Purple)
• Order Flow Clouds (Green/Red with high transparency)
• Reference Levels (20, 50, 80)
• Multi-type Signal Markers
• Color-coded momentum visualization
Interpretation Guide:
• Green Cloud: Bullish money flow dominance
• Red Cloud: Bearish money flow dominance
• Circle Markers: Standard reversals
• Square Markers: High-conviction moves
• X Markers: Potential trap zones
Best Practices:
• Most effective on 1H+ timeframes
• Use with major trading pairs
• Wait for candle close confirmation
• Combine with support/resistance levels
• Monitor volume confirmation
• Use multiple timeframe analysis
This indicator helps traders identify institutional money flow, potential liquidation events, and market reversals by analyzing volume patterns and money flow dynamics, providing multiple confirmation layers for trade decisions.
Note: Performance varies with market conditions and timeframes. Always employ proper risk management.
30 ATR NormalizedThis indicator shows the normalized ATR of the top 30 NASDAQ companies.
The main purpose of the indicator is to identify which company is primarily driving the NASDAQ, anticipate increases or decreases in market volume, or spot correlations and divergences.
Essentially, this indicator is a composite ATR.
This indicator is designed to be used in combination with other similar ones I've published, which monitor the RSI, CCI, MACD, etc., of the top 30 NASDAQ companies
Chande Composite Momentum Index [LazyBear]This is a Updated Version of the original indikator from lazy bear!
It has added a clear buy signal if the there is a bullish momentum under the -25 Level!
The buy is only confirmed if the SMA length 2 is sideways or up to prevent opening Trades in a ongoing Downtrend!
the Buy Singnals you find below, the green Dots.
Let me knwo if i shouldd add a sell also or should do any Changes.
30 Prezzi Normalizzati (Daily Reset)This indicator shows the normalized price of the top 30 NASDAQ companies. Like the previous one, its main use is to identifying which company is primarily driving the NASDAQ and in anticipating the market using the information at our disposal. The difference between this indicator and others is that the price is anchored to a common starting point for all companies, offering a clearer view of the market's opening dynamics.
This indicator is designed to be used in combination with other similar tools I’ve published, which track the RSI, CCI, MACD, etc.., of the top 30 NASDAQ companies
Multi Timeframe ATR, CCI & RSIMulti Timeframe ATR, CCI & RSI (MTF IND)
This indicator displays ATR, CCI, and RSI values from a custom selected timeframe in a clean table overlay.
It helps monitor volatility and momentum from higher/lower timeframes directly on your current chart.
Features:
• Select custom timeframe for all indicators (e.g., 1D, 1W, 65m, etc.)
• ATR with selectable smoothing type (RMA, SMA, EMA, WMA)
• CCI & RSI with trend arrows (▲ rising, ▼ falling, ▬ neutral)
• Compact summary table
30 RSIThis indicator displays the RSI of the top 30 companies in the NASDAQ.
The main utility of the indicator is to identify which company is primarily driving the NASDAQ and which one is not highly correlated, allowing you to anticipate entries into zones that can be considered as composite overbought and oversold, or to spot divergences.
Essentially, this indicator is a composite RSI.
This indicator is designed to be used in combination with other similar tools I've published, which track the CCI, ATR, MACD, etc., of the top 30 NASDAQ companies
Aesthetic RSI [AlchimistOfCrypto]🌌 Aesthetic RSI – Unveiling the Fractal Forces of Markets 🌌
Category: Momentum Indicators 📈
"The RSI oscillator, formalized through an advanced mathematical prism, reveals the underlying fractal structures of price movements. This indicator draws inspiration from quantum principles of divergence-convergence where the probability of a return to equilibrium increases proportionally to the distance from the median point. Our implementation employs sophisticated algorithmic smoothing to filter out the stochastic noise inherent in financial markets, allowing visualization of the true momentum forces according to thermodynamic entropy principles applied to trading systems."
📊 Professional Trading Application
The Aesthetic RSI is a visually stunning and mathematically refined take on the classic Relative Strength Index. With customizable settings, advanced smoothing, and eight unique visual palettes, it empowers traders to detect momentum shifts and divergences with unparalleled clarity.
⚙️ Indicator Configuration
- Length 📏
The core parameter (default: 20) that determines the calculation period.
- Lower values (8-14): Increase sensitivity for short-term trading.
- Higher values (21-34): Provide stronger signals for position trading.
- OverBought/OverSold Thresholds 🎯
Customizable boundaries (default: 75/25) to identify extreme market conditions.
- Calibrate based on asset volatility: Higher volatility assets may need wider thresholds (80/20) to reduce false signals.
- Style 🎨
Eight meticulously crafted visual palettes optimized for pattern recognition:
- Miami Vice (default): High-contrast cyan/magenta scheme for spotting divergences.
- Cyberpunk: Yellow/purple combo to highlight momentum shifts.
- Classic: Traditional green/red for conventional analysis.
- High Contrast: Maximum visual separation for traders with visual impairments.
- Specialized palettes (Forest, Ocean, Fire, Monochrome): Tailored for diverse market conditions.
- Mode Selection 🔄
- Full: Displays a complete gradient spectrum across the RSI range, emphasizing momentum transitions between 35-65.
- OverZone: Focuses on actionable extreme zones, reducing noise in ranging markets.
🚀 How to Use
1. Adjust Length ⏰: Set the period based on your trading style (short-term or long-term).
2. Fine-Tune Thresholds 🎚️: Customize overbought/oversold levels to match the asset’s volatility.
3. Select a Palette 🌈: Choose a visual style that enhances your pattern recognition.
4. Choose Mode 🔍: Use "Full" for detailed momentum analysis or "OverZone" for extreme zone focus.
5. Spot Divergences ✅: Look for price-RSI divergences to anticipate reversals.
6. Trade with Precision 🛡️: Combine with other indicators for high-probability setups.
📅 Release Notes (April 2025)
Aesthetic RSI blends quantum-inspired mathematics with artistic visualization, redefining momentum analysis. Stay tuned for future enhancements! ✨
🏷️ Tags
#Trading #TechnicalAnalysis #RSI #Momentum #Divergence #MultiTimeframe #TradingStrategy #RiskManagement #Forex #Stocks #Crypto #Bitcoin #AlgoTrading #DayTrading #SwingTrading #TheAlchimist #QuantumTrading #VisualTrading #PatternRecognition
MACD [AlchimistOfCrypto]🌠 MACD Optimized with Python – Decoding the Chaos of Markets 🌠
Category: Trend Analysis 📈
"Like the dynamic systems studied in chaos theory, financial markets appear unpredictable at first glance. Yet, as Edward Lorenz demonstrated, even in apparent chaos reside harmonious mathematical structures. The MACD (Moving Average Convergence Divergence) represents this quest for order within disorder—a mathematical formulation that extracts coherent signals from price noise. By combining moving averages of different periods, this indicator reveals hidden cycles and precise moments when market energy shifts, like a pendulum obeying the immutable laws of physics."
📊 Technical Overview
The MACD Optimized with Python is a revolutionary take on the classic Moving Average Convergence Divergence indicator. Powered by Python-driven optimizations 🐍, it adapts to specific timeframes, delivering razor-sharp signals for traders seeking to navigate the market’s chaos with precision.
⚙️ How It Works
- Python-Optimized Parameters 🔧: Unlike the standard MACD (12,26,9), our version uses mathematically tailored parameters for each timeframe:
- 1H: 11/38/27
- 4H: 9/98/27
- 1D: 45/90/29
- 1W: 9/16/3
- 2W: 5/20/5
- Intuitive Visuals 🎨:
- Crossovers marked by colored dots 🟢🔴 for clear entry/exit signals.
- Histogram with a color gradient 🌈 to show direction and momentum intensity.
- Customizable Signals 🎯: Choose to display long, short, or both signals to match your trading style.
🚀 How to Use This Indicator
1. Select Your Timeframe ⏰: Choose the timeframe aligned with your trading horizon (1H, 4H, 1D, 1W, or 2W).
2. Spot Crossovers 🔍: Watch for the MACD line (green) crossing the signal line (red) to identify potential trend changes.
3. Confirm with Divergence ✅: Combine crossovers with price-MACD divergence for high-probability trend reversal signals.
📅 Release Notes
Unlock the hidden order of markets with this Python-optimized MACD. Stay tuned for future enhancements! ✨
🏷️ Tags
#Trading #TechnicalAnalysis #MACD #TrendAnalysis #Python #MultiTimeframe #Divergence #Momentum #TradingStrategy #RiskManagement #Forex #Stocks #Crypto #ChaosTheory #OptimizedTrading
30 Normalized Price with LimitsThis indicator shows the normalized price of the top 30 NASDAQ companies.
The main purpose of the indicator is to identify which company is primarily driving the NASDAQ and to anticipate the market using the information we have.
This indicator is designed to be used in combination with other similar ones I’ve published, which monitor the RSI, CCI, MACD, etc., of the top 30 NASDAQ companies.
VWAP Separation w/ StDev (LEX)---
## VWAP Separation with Standard Deviation Bands
**Overview**
This indicator measures and visualizes the raw distance (separation) between a chosen price source (like `hlc3` or `close`) and its corresponding Volume Weighted Average Price (VWAP) for a selected anchor period. It helps traders gauge how far the current price has deviated from its volume-weighted average.
To provide context on the magnitude of this separation, the indicator also calculates and plots dynamic bands representing +/- 1 standard deviation of the separation value itself, calculated over a user-defined lookback period.
**How it Works**
1. **VWAP Calculation:** The indicator first calculates the VWAP based on the user-selected `Anchor Period` (e.g., Session, Week, Month) and `Source` price. The VWAP calculation resets at the beginning of each new anchor period.
2. **Separation Calculation:** It then subtracts the calculated VWAP from the source price for each bar (`Separation = Source - VWAP`).
3. **Plotting Separation:** This raw separation value is plotted as a line in a separate indicator pane.
* Positive values indicate the source price is above the VWAP.
* Negative values indicate the source price is below the VWAP.
4. **Zero Line & Crossings:** A horizontal line at zero is plotted for easy reference. Small circles are plotted on the zero line whenever the separation value crosses it (using `ta.cross`), highlighting moments when the price crosses its VWAP.
5. **Standard Deviation Bands:**
* The indicator calculates the rolling Simple Moving Average (SMA) of the `Separation` value over a specified `StDev Length` using `ta.sma`.
* It then calculates the rolling standard deviation of the `Separation` value over the same length using `ta.stdev`.
* Finally, it plots two dynamic lines: `SMA + 1 StDev` and `SMA - 1 StDev`. These bands represent the typical range of the separation's volatility based on the lookback period.
**How to Use / Interpretation**
* **Magnitude of Separation:** The primary line directly shows how far, in price terms, the market is currently trading away from its VWAP for the chosen anchor period. Large absolute values suggest a significant deviation.
* **Zero Line:** Crossing the zero line indicates the price is moving from one side of the VWAP to the other. The indicator staying consistently above/below zero shows price trending relative to its VWAP.
* **Standard Deviation Bands:** These bands help contextualize the separation.
* When the separation line touches or exceeds the upper band, it suggests the price is unusually far *above* the VWAP compared to its recent behavior.
* When the separation line touches or exceeds the lower band, it suggests the price is unusually far *below* the VWAP compared to its recent behavior.
* These "unusual" deviations *might* indicate over-extended conditions potentially leading to mean reversion back towards the VWAP, *or* they could signal the start of a strong move away from the VWAP. Always use in conjunction with other analysis methods.
* The width of the bands indicates the recent volatility *of the separation value itself*. Wider bands mean the separation has been more volatile; narrower bands mean it's been more stable.
**Key Features**
* Flexible VWAP calculation based on various anchor periods (Session, Week, Month, Earnings, etc.).
* Plots the raw price separation from VWAP.
* Clear zero line reference.
* Visual markers for zero-line crossings.
* Dynamic +/- 1 Standard Deviation bands based on the separation's volatility.
* User-configurable inputs for anchor period, price source, and standard deviation length.
**Settings**
* **Anchor Period:** Determines the calculation period for VWAP (Session, Week, Month, Quarter, Year, Decade, Century, Earnings, Dividends, Splits). Default: `Session`.
* **Source:** The price data used for calculating VWAP and separation (e.g., hlc3, close, open). Default: `hlc3`.
* **StDev Length:** The lookback period (number of bars) used to calculate the moving average and standard deviation of the separation value. Default: `20`.
**Disclaimer**
This indicator is provided for educational and informational purposes only. It does not constitute financial advice or a recommendation to trade. Trading financial markets involves significant risk. Always perform your own due diligence and test any indicator thoroughly before using it in live trading. Past performance is not indicative of future results.
---
Volume Flow RatioVolume Flow Ratio (VFR) Indicator
Overview
The Volume Flow Ratio (VFR) is a sophisticated volume analysis tool that measures current trading volume relative to the maximum volume of the previous period. Unlike traditional volume indicators that show raw volume or simple moving averages, VFR provides context by comparing current activity to recent maximum activity levels.
Core Features
1. Split Period Analysis
- Multiple Timeframe Options:
- Daily: Compares to previous day's maximum
- Weekly: Week-to-week comparison
- NYSE Weekly: Specialized for stock market trading (Monday-Friday only)
- Monthly: Month-to-month analysis
- Quarterly: Quarter-to-quarter perspective
- Yearly: Year-over-year volume comparison
2. Ratio-Based Measurement
- Displays volume as a ratio (0 to 1+) rather than raw numbers
- 1.0 represents volume equal to previous period's maximum
- Example: If previous max was 50,000 contracts:
- Current volume of 25,000 shows as 0.5
- Current volume of 75,000 shows as 1.5
3. Triple Coloring Modes
- Moving Average Based:
- Compares current ratio to its moving average
- Customizable MA period
- Green: Above MA (higher than average activity)
- Red: Below MA (lower than average activity)
- Previous Candle Comparison:
- Simple increase/decrease from previous bar
- Green: Higher than previous bar
- Red: Lower than previous bar
- Candle Color Based:
- Syncs with price action
- Green: Bullish candles (close > open)
- Red: Bearish candles (close < open)
Primary Use Cases
1. Volume Profile Analysis
- Perfect for traders who need to understand when markets are most active
- Helps identify unusual volume spikes relative to recent history
- Useful for timing entries and exits based on market participation
2. Market Activity Traders
Ideal for traders who:
- Need to identify high-liquidity periods
- Want to avoid low-volume periods
- Look for volume breakouts or divergences
- Trade based on institutional participation levels
3. Mean Reversion Traders
Helps identify:
- Overextended volume conditions (potential reversals)
- Volume exhaustion points
- Return to normal volume levels after spikes
4. Momentum Traders
Useful for:
- Confirming trend strength through volume
- Identifying potential trend exhaustion
- Validating breakouts with volume confirmation
Advantages Over Traditional Volume Indicators
1. Contextual Analysis
- Shows relative strength rather than raw numbers
- Easier to compare across different time periods
- Automatically adjusts to changing market conditions
2. Period-Specific Insights
- Respects natural market cycles (daily, weekly, monthly)
- Special handling for NYSE trading days
- Eliminates weekend noise in stock market analysis
3. Flexible Visualization
- Three distinct coloring methods for different trading styles
- Clear reference line at 1.0 for quick analysis
- Histogram style for easy pattern recognition
Best Practices
For Day Traders
- Use Daily split for intraday volume patterns
- MA coloring mode with shorter periods (5-10)
- Focus on ratios during market hours
For Swing Traders
- Weekly or NYSE Weekly splits
- Longer MA periods (15-20)
- Look for sustained volume patterns
For Position Traders
- Monthly or Quarterly splits
- Candle color mode for trend confirmation
- Focus on major volume shifts
Limitations
- Requires one full period to establish baseline
- May be less effective in extremely low volume conditions
- NYSE Weekly mode specific to stock market hours
This indicator is particularly valuable for traders who understand that volume is a crucial component of price action but need a more sophisticated way to analyze it than simple volume bars. It's especially useful for those who trade based on market participation levels and need to quickly identify whether current volume is significant relative to recent history.
[blackcat] L3 Ehlers DFT-Adapted RSIOVERVIEW
The L3 Ehlers DFT-Adapted RSI is an advanced technical indicator that combines Digital Fourier Transform (DFT) analysis with traditional RSI calculations to provide enhanced market trend identification and trading signals.
FEATURES
• DFT-based frequency analysis of price movements
• Adaptive RSI calculation using dominant cycle detection
• Fast and slow moving average lines
• Color-coded candlestick visualization
• Horizontal reference lines at 45 and 55
• Intelligent sideways detection and label management
• Customizable parameter inputs
HOW TO USE
Configure the following inputs:
• Price source (default: HL2)
• Window size (default: 50)
• Overbought threshold (default: 70)
• Oversold threshold (default: 30)
• Fraction multiplier (default: 0.5)
Interpret the indicator:
• Yellow candles indicate bullish momentum
• Fuchsia candles indicate bearish momentum
• Crosses between fast and slow lines suggest potential trend changes
• Position relative to the 45/55 lines indicates overall market sentiment
• Labels appear only when sideways conditions break
SIDESWAYS DETECTION
• Sideways conditions are identified when:
The difference between fast and slow lines is less than 0.5
Both lines show minimal movement (< 0.1) • During sideways periods:
Existing labels are removed
No new labels are generated • When sideways ends:
If trend reverses, opposite label is generated
If trend continues, no new label is created
LIMITATIONS
• Requires sufficient historical data for accurate calculations
• Performance may vary across different market conditions
• Parameter sensitivity requires careful calibration
NOTES
• The indicator uses Ehlers' proprietary DFT methodology
• Default settings are optimized for general market conditions
• Consider adjusting parameters based on your trading timeframe and strategy