NY ORB + Fakeout Detector🗽 NY ORB + Fakeout Detector
This indicator automatically plots the New York Opening Range (ORB) based on the first 15 minutes of the NY session (15:30–15:45 CEST / 13:30–13:45 UTC) and detects potential fakeouts (false breakouts).
🔍 Key Features:
✅ Plots ORB high and low based on the 15-minute NY open range
✅ Automatically detects fake breakouts (price wicks beyond the box but closes back inside)
✅ Visual markers:
🔺 "Fake ↑" if a fake breakout occurs above the range
🔻 "Fake ↓" if a fake breakout occurs below the range
✅ Gray background highlights the ORB session window
✅ Designed for scalping and short-term breakout strategies
🧠 Best For:
Intraday traders looking for NY volatility setups
Scalpers using ORB-based entries
Traders seeking early-session fakeout traps to avoid false signals
Those combining with EMA 12/21, volume, or other confluence tools
Análise de Ondas
Price equilibrium between buyers and sellers [Soroush Rezaei]This indicator visualizes the dynamic balance between buyers and sellers using two simple moving averages (SMAs) based on the high and low prices.
The green line (SMA of highs) reflects the upper pressure zone, while the red line (SMA of lows) represents the lower support zone.
When price hovers between these two levels, it often signals a state of temporary equilibrium — a consolidation zone where buyers and sellers are relatively balanced.
Use this tool to:
Identify ranging or balanced market phases
Spot potential breakout or reversal zones
Enhance your multi-timeframe or price action strategy
Recommended for intraday and swing traders seeking visual clarity on market structure and momentum zones.
ETH Growth | AlchimistOfCrypto⚠️ DISCLAIMER: This indicator's source code is kept private as it represents a first-of-its-kind innovation in algorithmic cycle detection and visualization for Ethereum. The mathematical models and proprietary algorithms powering this indicator are the result of extensive research and development.
🌈 ETH Growth Rainbow – Unveiling Ethereum's Logarithmic Growth Fields 🌈
"The ETH Growth Rainbow, engineered through advanced logarithmic mathematics, visualizes the probabilistic distribution of Ethereum's price evolution within a multi-cycle growth paradigm. This indicator employs principles from logarithmic regression where coefficients p001, p002, and p003 create mathematical boundaries that define Ethereum's long-term value progression. Our implementation features algorithmically enhanced rainbow visualization derived from Fast Fourier Transform (FFT) spectral analysis, creating a dynamic representation of Ethereum's logarithmic growth with adaptive color gradients that highlight critical cycle-based phase transitions in the asset's monetary evolution."
📊 Professional Trading Application
The ETH Growth Rainbow transcends traditional price prediction models with a sophisticated multi-band illumination system that reveals the underlying structure of Ethereum's monetary evolution. Scientifically calibrated across multiple 85-week cycles (detected through spectral analysis) and featuring seamless rainbow visualization, it enables investors to perceive Ethereum's position within its macro growth trajectory with unprecedented clarity.
- Cycle Detection Methodology 🔬
The 85-week Ethereum cycle was discovered through sophisticated Fast Fourier Transform (FFT) analysis:
- Logarithmic price returns extracted from historical Ethereum data
- FFT decomposition identifies dominant frequency components in price movements
- Signal amplitude analysis reveals the 85-week cycle as the most statistically significant periodicity
- Adaptive frequency filtering validates cycle consistency across multiple market phases
- Cycle duration rounded to nearest week for practical application
- Visual Theming 🎨
Scientifically designed rainbow gradient optimized for cycle pattern recognition:
- Violet-Blue: Lower value accumulation zones with highest mathematical growth potential
- Green: Fair value equilibrium zone representing the regression mean
- Yellow-Orange: Moderate overvaluation regions indicating potential resistance
- Red: Statistical extreme zones indicating mathematical cycle peaks
- Deep Red: New euphoria band (+6) capturing exceptional market extremes
- Cycle Visualization 🔍
- Precise cycle boundaries demarcating Ethereum's fundamental cycle events
- Adaptive band spacing based on mathematical cycle progression (p003 = 0.858)
- Multiple sub-cycle markers revealing the probabilistic nature of Ethereum's trajectory
- Initial cycle starting from 0.1639 (August 3, 2015) to preserve historical accuracy
🚀 How to Use
1. Identify Macro Position ⏰: Locate Ethereum's current price relative to regression bands
2. Understand Cycle Context 🎚️: Note position within the current 85-week cycle for time-based analysis
3. Assess Mathematical Value 🌈: Determine potential over/undervaluation based on band location
4. Adjust Investment Strategy 🔎: Modulate position sizing based on mathematical value assessment
5. Identify Cycle Phases ✅: Monitor band transitions to detect accumulation and distribution zones
6. Invest with Precision 🛡️: Utilize lower bands for strategic accumulation, upper bands for strategic reduction
7. Manage Risk Dynamically 🔐: Scale investment allocations based on mathematical cycle positioning
#ethereum #ETH #cryptocurrency #tradingview #technicalanalysis #logarithmicregression #rainbowchart #cryptotrading #tradingstrategy #priceaction #cryptoinvesting #ethanalysis #tradingbands #cryptoresearch #FFTanalysis #cyclicalanalysis #ethinvestment #ethusd #buyandsell #accumulation #macroindicator #valueanalysis #priceprediction #ethgrowth #cryptosignals #cyclicpatterns #mathematicaltrading #AI #smartmoney #cryptowhales
FSVZO | QuantumResearch🔊 FSVZO | QuantumResearch
Fourier Smoothed Volume Zone Oscillator
A proprietary hybrid oscillator blending momentum and frequency domain analysis
🧠 What Makes It Unique?
FSVZO introduces a novel approach to the classic Volume Zone Oscillator (VZO) by incorporating Discrete Fourier Transform (DFT) into both price and volume streams before calculating the VZO. This technique extracts the dominant frequency components from the market, resulting in a more stable and noise-filtered signal.
This hybrid approach of signal processing + volume-based trend detection sets it apart from traditional oscillators that only operate in the time domain.
⚙️ Core Concepts:
📈 Volume Zone Oscillator (VZO):
Built on a directional volume engine that emphasizes bullish/bearish pressure via smoothed volume flows.
🔍 Fourier Transform Layer:
A Discrete Fourier Transform is applied to the most recent price and volume arrays to isolate dominant cyclic components and suppress noise.
🧠 Trigger Line Comparison:
A smoothed EMA of the oscillator is used as a signal line for crossovers, highlighting momentum shifts.
🔍 Key Features:
✅ Fourier-Decomposed Source Data
✅ Adaptive Smoothing of the Signal Line
✅ Color-coded Trend Conditions
✅ Customizable Thresholds for Overbought/Oversold Regions
✅ Background Fill Zones for Visual Context
✅ Bar Color Overlays to Track Signal Transitions
📌 How to Use It:
When FSVZO > Trigger Line, bullish volume momentum dominates (green bars).
When FSVZO < Trigger Line, bearish volume momentum dominates (red bars).
Use ±60/90 zones as overbought and oversold thresholds.
Great for momentum confirmation, mean-reversion plays, and early trend detection when used with price action or moving averages.
⚠️ Designed For:
Momentum traders looking for a volume-aware oscillator
Analysts seeking signal stability through frequency filtering
Traders wanting a modern, noise-reduced alternative to RSI/MFI/VZO
⚠️ Disclaimer:
This script is for educational and research purposes only.
Past performance does not guarantee future results.
Always confirm with other indicators, price structure, and risk management.
ZigZag ProZigZag Pro is a precise market structure indicator that automatically detects two independent ZigZag patterns and highlights breakouts whenever significant highs or lows are breached.
The indicator calculates two separate ZigZag structures in real time. ZigZag1 captures the broader market swings and is ideal for trend or swing trading. ZigZag2 is optional and reacts more quickly – perfect for intraday or scalping setups. Both layers are fully customizable in terms of depth, color, and line width.
What makes this tool especially useful: whenever a previous swing high (for long trades) or swing low (for short trades) is broken, the indicator draws a horizontal breakout line on the chart. This makes it easy to spot structural breakouts and take advantage of potential momentum moves.
ZigZag Pro is designed for traders who rely on clean, rule-based market structure — whether you're trading classic breakouts, smart money concepts, or simply want a clearer view of trend shifts. The visuals are minimal, responsive, and suitable for any timeframe.
Visual ProwessVisual Prowess: Ultimate Visual of Price Action Indicator
Overview
Visual Prowess is a Pine Script indicator that integrates Trend, Momentum, Strength/Weakness, Money Flow, and Volatility into a single, intuitive interface. Scaled from 0 to 100, it provides traders with clear bullish (>50) and bearish (<50) zones. Visual Prowess is made up of several data components which will be explained below. All these components have custom thresholds that lead to Green Dot Buy Signals and Red Dot sell signals. Designed for multi-timeframe analysis, it helps traders anticipate market moves with precision seeing behind the scenes of price action.
The fundamental inputs of price action are made up of different variables -- the components of Trend Strength, Volatility, Momentum, Money Flow/Volume and Overbought/Oversold. These are very important inputs market makers use. From what I've learned in my trading journey (always still learning), this is the data I value most important. This is why I combined all these components into one indicator.....to be an ultimate visual—this extrapolation of different pieces of data is the Visual Prowess.
What It Does
Visual Prowess combines five key market factors into a unified score (0-100) to assess market conditions by examining the price action like an x-ray aka Visual Prowess:
• Trend Direction & Strength (Green and Red Wave) : Identifies bullish (green clouds) or bearish (red clouds) trend. This data is designed to illustrate the trend by the color, and its strength by the height (score).
How it is Calculated = Data is derived from price action-- comparing the current and previous price highs and lows to measure the strength of upward (+) or downward (-) price movements, smoothed over a period and expressed as a percentage of the price range.
• Momentum (Blue and White Wave): Tracks price acceleration via a custom momentum oscillator, displayed as blue (positive) or white (negative) waves.
How it is Calculated = Data is calculated by subtracting a longer-term exponential moving average from a shorter-term exponential moving average to measure momentum and trend direction. Momentum strength is measured by height on 0-100 score, and color dictates the trend-- Blue up, White down.
• Strength Index (Purple Line): Measures overbought/oversold conditions with a normalized index, derived from price deviation.
How it is Calculated = Strength Index is calculated by comparing the average of price gains to the average of price losses over a specified period, expressed as a value between 0 and 100 to measure momentum and identify overbought or oversold conditions.
• Money Flow: Monitors capital inflows and outflows using a modified Money Flow Index, shown as green (buying) or red (selling) circles.
How it is Calculated = The Money Flow is calculated by using price and volume data to measure buying and selling pressure, comparing positive and negative money flow over a specified period to produce a value between 0 and 100, indicating overbought or oversold conditions and more importantly where the money is moving, + or -.
• Volatility: Gauges market volatility, marked by colored crosses (blue for low, red for high). Blue illustrates low volatility which is key for big moves either + or -; red to illustrate when price action is extremely overheated either + or -.
How it is Calculated = The volatility is calculated by the creator of the BBWP The_Caretaker. This excellent work is calculated using the width of the iconic indicator the Bollinger Bands (the difference between the upper and lower bands divided by the middle band (the moving average), expressed as a percentage to show how volatile the price is relative to its recent average.
Originality
Unlike traditional multi-indicator dashboards, Visual Prowess uses a combination of specific open-source indicators which I believe to be the most important inputs in price action-- trend, momentum, strength, money flow, and volatility into an all-in-one visual ratioed on a 0-100 scale. This unique synthesis of data reduces noise, prioritizes signal alignment, and a look behind the scenes of price action to see deeper into the movement – This combination of indicators has custom thresholds, when these components in alignment with each other hit certain parameters; it leads to key custom price action signals -- Green Dot Buy and Red Dot Sell signals.
There is also a bonus indicator….. a Yellow Triangle. When you see this, it is rare and strong. It only prints when strength index reaches extreme lows at the same time volatility reaches extreme highs…. It then waits to print the yellow triangle upon a third condition= which is price action is back in bullish/positive zone. This Yellow triangle is meant to be strong reversals of Macro Trend lows.
How to Use the Visual Prowess Components:
• Add to Chart: Apply Visual Prowess to any timeframe (recommended: higher timeframes 12H, 1D, 2D, 3D for optimal signals).
• Interpret Zones: Values >50 indicate bullish conditions (green background); <50 signal bearish conditions (red background).
Wait for Green Dot Buy signal for buys and Red Dot Sell signals for sells. One can read each component individually to gauge the price action and predict before the buy signal prints; all of those components merged together is what leads to the buy and sell signals. The story of what’s to come can be seen at lower timeframes before the higher timeframes print, that is a key way to gauge projections of bull or bear prints to come.
HOW TO READ EACH DATA COMPONENT
TREND CLOUDS: Green/red clouds show trend direction; vivid colors tied to number/ score on the 0-100 scale indicate strength of the trend.
Bull Conditions
Green cloud illustrates the trend is bullish. The height is correlated to the trend’s strength—this height is also aligned with colors, more transparent green is weak, then it gets more opaque being medium strength, and the most vibrant is the strongest. How to ride the bull condition is by seeing this transformation of trend get from weak to strong, until it tops out and the wave points down losing strength which alludes to the bear condition.
Bear Conditions
Vice versa with the bear condition. Different shades of red tie into the strength of the bear trend. How to read when things are about to get bearish, is by seeing bull trend shift levels of strength (Example- medium to weak). This transition of bull strength getting weaker is the start, once it gets to weak bear it has commenced until bearish strength tops out before it begins to get weaker leading to the next bull phase.
MOMENTUM WAVES: Blue waves above 50 suggest bullish momentum; white waves below 50 warn of bearish shifts.
Bull Conditions
Good to look at flips of white wave to blue in bearish zones to see the tide turning= guaranteed bullish when safely gets above and holds above 50 zone.
Bear Conditions
Vice versa for Bearish side of this momentum wave being blue wave turning white in bullish zone aiming down to break below 50 zone to confirm bearish descent.
STRENGTH INDEX: Values >80 indicate overbought; <20 suggest oversold. Look for “Bull” or “Bear” labels for divergences.
Bull Conditions
Above 50 level is key, so seeing price action break from below 50 to above 50 is strong buy condition until it gets overbought.
Bear Conditions
Once conditions are too overbought and falling making lower lows (especially when price action is climbing or staying sideways) it is indicating strength is getting weaker. When this indicator fights 50 level and breaks down below 50 level bearish conditions are coming until it gets to an oversold level.
MONEYFLOW: Green circles signal buying pressure; red circles indicate selling.
Bull Conditions
Green circles show money flow is positive so that’s a good sign of upward price action to come, and again above 50 level is bullish conditions
Bear Conditions
Red circles show money flow is negative so that’s a bad sign of price action to come, pointing down and breaking below 50 level is no good. It can have corrections in bullish scenario keep in mind seeing red doesn’t mean trend is over z9could be in higher low scenario).
VOLATILITY: Blue crosses (<25% volatility) suggest breakout potential; red crosses (>75%) warn of overheated markets.
Bull Conditions
This is a very important indication. Big volatile moves can move either direction + or -. When all other components look positive/bullish and this is signalling blue crosses it means a big move is coming and will most likely be in the upward direction –If all other components align/lean bullish.
Another bullish scenario is when price action is down large and red crosses are forming. This indicates that the downward move is overheated (red x’s are rare). This extremely oversold condition can be great buying opportunities when volatility is hot printing red x’s.
Bear Conditions
When all other components look negative/bearish and this is signalling blue crosses it means a big move is coming and will most likely be in the downward direction –If all other components align/lean bearish.
Another bearish scenario is when price action is up large and red crosses are forming. This indicates that the upward move is overheated (red x’s are rare). This extremely overbought condition can be great selling opportunities when volatility is hot printing red x’s.
*****All these components in alignment of hitting each pertaining important threshold--is what prints the green dot and sell signals to trade by. It is not black and white; each component has a sweet spot fine tuned to be triggered through analysis of what is happening individually to each component and how it is reacting to the price action data.
EXAMPLE= Taking a look at the screenshot (Perfect Scenario)
Bullish Examination
- Taking a look at the 2-D timeframe on BTC
x>50
x= all components traveling to the bullish zone. Blue wave, Strength Index with bullish divergence accumulation, Money Flow Positive with Green Trend Wave starting, with teal low volatility cross→→→ leads to Green Dot Buy Signal print…. And the big rise speaks for itself with price action and the big mountain wave of the Green Trend Wave.
This rise leads to
↓↓↓↓
Bearish Examination
Strength Index gets really high at 80 scale, Red X’s showing extremely heated Volatility, Money Flow turning red and sloping down, Trend Wave peaking starting to roll over, Blue Momentum Wave transitioning to white, bearish divergence of price action related to Strength Index→→→ leads to Red Dot Sell Signal print… and the flush speaks for itself when all components fall below 50 level with Trend wave turning red
All this is forecasted in the data, showing weakness before weakness and showing strength before strength. It works because every single piece of important elements in data of price action is incorporated in this all-in-one indicator…. Which leads to the reasoning of me calling this indicator the Visual Prowess, for its unprecedent sharpness of visual observation.
****This is a passion script incorporating every piece of data I value important when reading a chart — to see current perspective of a chart and to help foresee future projection of direction Up or Down. Any community feedback is greatly appreciated. Ongoing work will be done on this script as new thoughts and fine tuning will continuously be done for infinity, as this is my personal go to model for data on the markets.
Bitcoin: Pi Cycle Top & Bottom | QuantumResearchBitcoin: Pi Cycle Top & Bottom | QuantumResearch
Adaptive Deviation Model for Bitcoin Macro Extremes
Bitcoin: Pi Cycle Top & Bottom by QuantumResearch is a proprietary interpretation of the famous Pi Cycle concept—enhanced with normalized deviation logic, adjustable thresholds, and visual clarity. Unlike traditional models that simply cross two moving averages, this tool calculates the dynamic spread between a short-term and amplified long-term exponential average, delivering a continuous score that adapts to Bitcoin's evolving volatility profile.
🧠 What Makes It Unique?
🔹 Pi Deviation Engine:
This creates a centered, symmetric oscillator that better visualizes overextended conditions—something the original Pi Cycle model does not offer.
🔹 Dynamic Zoning via Thresholds:
Users can set custom top and bottom thresholds to adjust sensitivity based on current market regimes, making it more flexible than static crossover models.
🔹 Gradient-Powered Area Fill:
The oscillator plot is filled with directional gradients that react to the score's magnitude, creating an intuitive visual spectrum between bullish and bearish extremes.
🔹 Macro-Focused, Overlay-Free:
The indicator runs in a clean subpanel, preserving chart space and allowing better integration into multi-layered macro dashboards.
🔹 Built for BTC’s Unique Structure:
The moving average lengths and logic are specifically calibrated to Bitcoin’s halving-driven cycles, unlike generic Pi models applied across asset classes.
🔍 Key Features
✅ Continuous Cycle Score (not binary crosses)
✅ Custom upper/lower thresholds for signal flexibility
✅ Visual gradient fill and background shading
✅ Zero chart clutter (non-overlay)
✅ Fully customizable moving average lengths
✅ Designed for macro cycle top/bottom detection
📌 Ideal For:
Long-term Bitcoin investors
Macro traders and analysts
Those seeking early warning signs of euphoria or despair
Anyone using on-chain + cyclical tools to time large market pivots
⚠️ Disclaimer
This indicator is for educational and research purposes only.
It does not provide financial advice or guarantees.
Past performance does not predict future behavior.
Always confirm with additional tools and analysis.
MAs For Loop | QuantumResearchMAs For Loop | QuantumResearch
Multi-MA Composite Momentum Scoring Engine
MAs For Loop is a unique, multi-layered moving average scoring system developed by QuantumResearch to capture persistent trend momentum through time-based strength analysis. Rather than using a single moving average or crossover, this tool evaluates the historical behavior of five different MA types simultaneously, scoring each one across a 50-bar window and generating a clean, confidence-weighted signal.
📚 How It Works:
For each selected MA (ZLEMA, DEMA, HMA, VIDYA, MEDIAN), the script applies a for-loop that compares the current value to its value over the past 50 bars.
If the MA is above its past value → +1
If it’s below → -1
These values are summed into a score for each MA, ranging from -50 to +50
These individual scores are then averaged into a final “MultiWave” score, which reflects the directional consensus of all five MAs.
🧠 What Makes This Unique?
Unlike traditional moving average signals (e.g., crossovers or price > MA), this system quantifies time-weighted directional pressure.
It doesn’t just tell you “trend or no trend”—it tells you how strong and how consistent that trend has been across multiple smoothing methods.
The composite for-loop engine captures structural momentum in a way that avoids lag and reduces noise from single-source inputs.
🔍 Included MAs & Customization:
📘 ZLEMA (Zero-Lag EMA)
📘 DEMA (Double EMA)
📘 HMA (Hull MA)
📘 VIDYA (Volatility-Adjusted MA)
📘 Median Filter (Percentile Rank 50%)
Users can:
Adjust lengths, sources, and visual color themes
Modify the bullish and bearish thresholds
Display a real-time trend scoring table
Visualize transitions with multi-layer HMA overlays and dynamic bar coloring
📊 Signals:
✅ Long → when average score > +40
🟥 Cash/Short → when average score < -10
All in-between states are neutral (gray)
🔔 Alerts:
"MAs For Loop Long" and "MAs For Loop Short" alert conditions are built-in.
📌 Use Case:
Designed for trend-following swing traders and momentum analysts who want:
Confirmation across multiple MA styles
Smoothed entries based on historical persistence
A scoring engine they can plug into larger systems
Better signal quality during consolidation or early breakout phases
⚠️ Disclaimer:
This tool is for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset.
Past performance is not indicative of future results. Use at your own risk.
Trailing Stop Loss [TradingFinder] 4 Machine Learning Methods🔵 Introduction
The trailing stop indicator dynamically adjusts stop-loss (SL) levels to lock in profits as price moves favorably. It uses pivot levels and ATR to set optimal SL points, balancing risk and reward.
Trade confirmation filters, a key feature, ensure entries align with market conditions, reducing false signals. In 2023 a study showed filtered entries improve win rates by 15% in forex. This enhances trade precision.
SL settings, ranging from very tight to very wide, adapt to volatility via ATR calculations. These settings anchor SL to previous pivot levels, ensuring alignment with market structure. This caters to diverse trading styles, from scalping to swing trading.
The indicator colors the profit zone between the entry point (EP) and SL, using light green for buy trades and light red for sell trades. This visual cue highlights profit potential. It’s ideal for traders seeking dynamic risk management.
A table displays real-time trade details, including EP, SL, and profit/loss (PNL). Backtests show trailing stops cut losses by 20% in trending markets. This transparency aids decision-making.
🔵 How to Use
🟣 SL Levels
The trailing stop indicator sets SL based on pivot levels and ATR, offering four options: very tight, tight, wide, or very wide. Very tight SLs suit scalpers, while wide SLs fit swing traders. Select the base level to match your strategy.
If price hits the SL, the trade closes, and the indicator evaluates the next trade using the selected filter. This ensures disciplined trade management. The cycle restarts with a new confirmed entry.
Very tight SLs, set near recent pivots, trigger exits early to minimize risk but limit profits in volatile markets. Wide SLs, shown as farther lines, allow more price movement but increase exposure to losses. Adjust based on ATR and conditions, noting SL breaches open new positions.
🟣 Visualization
The indicator’s visual cues, like colored profit zones, simplify monitoring, with light green showing the profit area from EP to trailed SL. Dashed lines mark entry points, while solid lines track the trailed SL, triggering new positions when breached.
When price moves into profit, the area between EP and SL is colored—light green for longs, light red for shorts. This highlights the profit zone visually. The SL trails price, locking in gains as the trade progresses.
🟣 Filters
Upon trade entry, the indicator requires confirmation via filters like SMA 2x or ADX to validate momentum. Filters reduce false entries, though no guarantee exists for improved outcomes. Monitor price action post-entry for trade validity.
Filters like Momentum or ADX assess trend strength before entry. For example, ADX above 25 confirms strong trends. Choose “none” for unfiltered entries.
🟣 Bullish Alert
For a bullish trade, the indicator opens a long position with a green SL Line (after optional filters), trailing the SL below price. Set alerts to On in the settings for notifications, or Off to monitor manually.
🟣 Bearish Alert
In a bearish trade, the indicator opens a short position with a red SL Line post-confirmation, trailing the SL above price. With alerts On in the settings, it notifies the potential reversal.
🟣 Panel
A table displays all trades’ details, including Win Rates, PNL, and trade status. This real-time data aids in tracking performance. Check the table to assess trade outcomes instantly.
Review the table regularly to evaluate trade performance and adjust settings. Consistent monitoring ensures alignment with market dynamics. This maximizes the indicator’s effectiveness.
🔵 Settings
Length (Default: 10) : Sets the pivot period for calculating SL levels, balancing sensitivity and reliability.
Base Level : Options (“Very tight,” “Tight,” “Wide,” “Very wide”) adjust SL distance via ATR.
Show EP Checkbox : Toggles visibility of the entry point on the chart.
Show PNL : Displays profit/loss data for active and closed trades.
Filter : Options (“none,” “SMA 2x,” “Momentum,” “ADX”) validate trade entries.
🔵 Conclusion
The trailing stop indicator, a dynamic risk management tool, adjusts SLs using pivot levels and ATR. Its confirmation filters reduce false entries, boosting precision. Backtests show 20% loss reduction in trending markets.
Customizable SL settings and visual profit zones enhance usability across trading styles. The real-time table provides clear trade insights, streamlining analysis. It’s ideal for forex, stocks, or crypto.
While filters like ADX improve entry accuracy, no setup guarantees success in all conditions. Contextual analysis, like trend strength, is key. This indicator empowers disciplined, data-driven trading.
FVG (Nephew sam remake)Hello i am making my own FVG script inspired by Nephew Sam as his fvg code is not open source. My goal is to replicate his Script and then add in alerts and more functions. Thus, i spent few days trying to code. There is bugs such as lower time frame not showing higher time frame FVG.
This script automatically detects and visualizes Fair Value Gaps (FVGs) — imbalances between demand and supply — across multiple timeframes (15-minute, 1-hour, and 4-hour).
15m chart shows:
15m FVGs (green/red boxes)
1H FVGs (lime/maroon)
4H FVGs (faded green/red with borders) (Bugged For now i only see 1H appearing)
1H chart shows:
1H FVGs
4H FVGs
4H chart shows:
4H FVGs only
There is the function to auto close FVG when a future candle fully disrespected it.
You're welcome to:
🔧 Customize the appearance: adjust box colors, transparency, border style
🧪 Add alerts: e.g., when price enters or fills a gap
📅 Expand to Daily/Weekly: just copy the logic and plug in "D" or "W" as new layers
📈 Build confluence logic: combine this with order blocks, liquidity zones, or ICT concepts
🧠 Experiment with entry signals: e.g., candle confirmation on return to FVG
🚀 Improve performance: if you find a lighter way to track gaps, feel free to optimize!
ABC Trading ConceptOverview
ABC Trading Concept is a wave- and trend-based market structure indicator that identifies shifts in price behavior by analyzing impulse and correction patterns. It introduces a unique calculation method—Price-MAD-ATR Bands—to detect wave formation, trend reversals, and potential trade zones with dynamic adaptability to volatility and trend strength.
🔧 Core Logic and Calculations
1. Price-MAD-ATR Bands
At the heart of the script is a proprietary channel system based on:
MAD (MA Difference): Difference between fast and slow moving averages.
ATR (Average True Range): Measures current market volatility.
The bands are plotted as:
Upper Band = Price + MAD × ATR
Lower Band = Price − MAD × ATR
A breakout beyond these bands signals the formation of a new wave (up or down).
2. Wave Formation (A and B Waves)
Standard Method: A new wave forms when price breaks through a Price-MAD-ATR Band.
Extreme Method: A wave also forms when price breaks the passive extremum of an existing wave.
Wave A may be generated by a correction breaking the Reversal Point.
Wave B can be configured to form in three modes, including breakouts of internal or boosted counter-corrections.
3. Trend Structure
A trend is built from waves and includes:
Direction, active/passive extremums
Impulses and Corrections (each tracked independently)
Reversal Point: Defined by a boosted correction breakout
G-Point: Set at the active extremum of Wave A
Vic Line: A trendline derived from previous correction extremums (optional)
When price breaks above the G-point, a new trend may be initiated.
4. Correction Boost Logic
A correction becomes boosted when price exceeds a configurable multiple of the correction’s range. Boosted corrections define key zones and enable the creation of Reversal Points and Wave A setups.
5. Vic Sperandeo Line
Optionally used to enhance trend structure confirmation. Drawn between extremums of previous corrections and may act as a secondary condition for forming Wave A.
6. SL/TP Level Calculation
At the start of a new trend, SL and TP levels are automatically plotted based on:
The extremums of Wave A or Wave B (selectable)
Configurable ratios (e.g., 1.382, 2.0, 2.618 for TP levels)
📊 Visual Elements on the Chart
Bands: Price-MAD-ATR Bands as adaptive upper/lower thresholds
Waves: Yellow zigzag lines
Trends: Blue (or purple for hard-type) trendlines with directional arrow
Reversal Point: Dashed horizontal line (starts from key correction breakout)
Correction Zone: Shaded rectangle from boosted correction range
Vic Line: Dashed support/resistance trendline
TP/SL Levels: Dotted horizontal levels, plotted at trend origin
⚙️ Inputs and Customization
You can adjust:
ATR and MA parameters
Band width multiplier
Boost strength threshold for corrections
SL/TP levels and logic (by Wave A or B)
Vic Line usage and visual styles for each element
Over 40 configurable settings are available to adapt the indicator to your strategy.
🧠 How to Use
Look for a new trend start when G-point is broken.
Use Wave A/B structure and Reversal Point for setup planning.
Correction Zones help identify re-entry areas or stop placement.
Follow TP/SL levels to manage exits with structural targets.
The Vic Line can act as dynamic support/resistance in context.
The indicator provides analytical insights—it does not generate automatic signals.
💡 What Makes It Unique
Unlike typical wave or Zigzag indicators, ABC Trading Concept introduces a volatility-adjusted wave logic using Price-MAD-ATR Bands. This method combines trend momentum (MA differential) with market volatility (ATR), offering a more flexible and noise-resistant structure recognition system. The integration of Wave A/B logic, dynamic reversal zones, and Vic Line validation makes it a comprehensive tool for structural traders.
⚠️ Disclaimer
This tool is for technical analysis and educational purposes. It does not guarantee profit or forecast market direction. Trading involves risk—use this script as part of a larger strategy with proper risk management.
Taylor Series ForecastThis indicator projects future price movement using a second-order Taylor Series expansion, calculated from a smoothed price (EMA). It models price momentum and acceleration to generate a forward-looking trajectory.
Forecast points are plotted continuously as connected line segments extending into the future. Each segment is color-coded based on slope:
Green indicates an upward slope (bullish forecast).
Red indicates a downward slope (bearish forecast).
The forecast adapts to current market conditions and updates dynamically with each new bar. Useful for visualizing potential future price paths and identifying directional bias based on recent price action.
Inputs:
Max Forecast Horizon: How many bars into the future the forecast extends.
EMA Smoothing Length: The smoothing applied to price before calculating derivatives.
This tool is experimental and should be used in conjunction with other analysis methods. It does not guarantee future price performance.
Elliott Wave Noise FilterElliott Wave Noise Filter
Overview
The Elliott Wave Noise Filter is a specialized indicator for TradingView, designed to solve one of the biggest challenges in Elliott Wave analysis on lower timeframes: the identification of market noise. By combining multiple advanced filtering techniques, this indicator helps distinguish meaningful price action from random fluctuations.
The Problem
On lower timeframes—especially below 15 minutes—Elliott Wave analysis is significantly impacted by excessive market noise. This noise can lead to misinterpretation of wave structures, making it difficult to execute reliable trading decisions.
The Solution
The Elliott Wave Noise Filter utilizes four powerful methods to detect and filter noise:
ATR-Based Volatility Analysis: Identifies price movements too small to be structurally meaningful
Volume Confirmation: Filters out price moves that occur with insufficient volume
Trend Strength Measurement (ADX): Detects periods of weak trend activity, where noise tends to dominate
Fractal Pattern Recognition: Marks significant turning points that could be relevant for Elliott Wave analysis
Features
Visual Indicators
Background Coloring: Red indicates noise; green signifies a clear signal
Hull Moving Average: Smooths price action and highlights the prevailing trend
Fractal Markers: Triangles mark significant highs and lows
Status Panel: Displays current noise status and ADX value
Customization Options
ATR Period: Adjust the lookback period for ATR calculations
Noise Threshold: Defines the percentage of ATR below which a movement is considered noise
Volume Filter: Can be enabled or disabled
Volume Threshold: Sets the ratio to average volume for a move to be deemed significant
Hull MA Display and Length: Configure the moving average settings
ADX Parameters: Adjust trend strength sensitivity
Use Cases
For Elliott Wave Analysis
Eliminate noise to identify cleaner wave structures
Use fractal markers as potential wave endpoints
Reference the Hull MA for determining the broader trend
For General Trading
Identify high-noise periods to avoid low-quality setups
Spot clearer market phases for better entries
Assess price action quality through visual cues
Multi-Timeframe Approach
Apply the indicator across different timeframes for a comprehensive view
Prefer trading when both higher and lower timeframes align with consistent signals
Optimal Settings
For Very Short Timeframes (1–5 minutes)
Higher Noise Threshold (0.4–0.5)
Longer ATR Period (20–30)
Higher Volume Threshold (1.0–1.2)
For Medium Timeframes (15–60 minutes)
Medium Noise Threshold (0.2–0.3)
Standard ATR Period (14)
Standard Volume Threshold (0.8)
For Higher Timeframes (4h and above)
Lower Noise Threshold (0.1–0.2)
Shorter ATR Period (10)
Lower Volume Threshold (0.6–0.7)
Conclusion
The Elliott Wave Noise Filter is an essential tool for any Elliott Wave analyst or trader working on lower timeframes. By reducing noise and emphasizing significant market movements, it enables more precise analysis and potentially more profitable trading decisions.
Note: As with any technical indicator, the Elliott Wave Noise Filter should be used as part of a broader trading strategy and not as a standalone signal for trade execution.
IU Mean Reversion SystemDESCRIPTION
The IU Mean Reversion System is a dynamic mean reversion-based trading framework designed to identify optimal reversal zones using a smoothed mean and a volatility-adjusted band. This system captures price extremes by combining exponential and running moving averages with the Average True Range (ATR), effectively identifying overextended price action that is likely to revert back to its mean. It provides precise long and short entries with corresponding exit conditions, making it ideal for range-bound markets or phases of low volatility.
USER INPUTS :
Mean Length – Controls the smoothness of the mean; default is 9.
ATR Length – Defines the lookback period for ATR-based band calculation; default is 100.
Multiplier – Determines how wide the upper and lower bands are from the mean; default is 3.
LONG CONDITION :
A long entry is triggered when the closing price crosses above the lower band, indicating a potential upward mean reversion.
A position is taken only if there is no active long position already.
SHORT CONDITION :
A short entry is triggered when the closing price crosses below the upper band, signaling a potential downward mean reversion.
A position is taken only if there is no active short position already.
LONG EXIT :
A long position exits when the high price crosses above the mean, implying that price has reverted back to its average and may no longer offer favorable long risk-reward.
SHORT EXIT :
A short position exits when the low price crosses below the mean, indicating the mean reversion has occurred and the downside opportunity has likely played out.
WHY IT IS UNIQUE:
Uses a double smoothing approach (EMA + RMA) to define a stable mean, reducing noise and false signals.
Adapts dynamically to volatility using ATR-based bands, allowing it to handle different market conditions effectively.
Implements a state-aware entry system using persistent variables, avoiding redundant entries and improving clarity.
The logic is clear, concise, and modular, making it easy to modify or integrate with other systems.
HOW USER CAN BENEFIT FROM IT :
Traders can easily identify reversion opportunities in sideways or mean-reverting environments.
Entry and exit points are visually labeled on the chart, aiding in clarity and trade review.
Helps maintain discipline and consistency by using a rule-based framework instead of subjective judgment.
Can be combined with other trend filters, momentum indicators, or higher time frame context for enhanced results.
Aggregated VolumeThis is the volume for crypto instruments. The volume in crypto instruments is different from the volume in stock or forex instruments. Because in crypto instrument at the same coin, for example bitcoin, there are differences in volume appearing on chart in Tradingview between exchanges. For example the exchanges on Binance and OKX, and between the spot market and the future or perpetual market, even though the transaction is in the same coin, bitcoin, there are differences in volume appearing on chart.
For those of us who trade relying on base volume as the main analysis in trading or investing, it is important to see the differences in volume between exchanges on Bitget, Binance, Bybit, and others, that Tradingview does not display the total transaction volume on the chart, but only the transaction volume per exchange, that does not describe the reality of the transaction volume. Therefore we need an indicator that totals volume on all exchanges, both spot and future / perpetual markets.
This indicator is called Aggregated Volume, which is the total volume of the exchanges: Binance, Bybit, OKX, Coinbase, Bitget, Kukoin, Kraken, Cryptocom, and Mexc. We chose these exchanges because they are the top 9 exchanges in the world that dominate the crypto market.
Therefore, this indicator appearing the total volume of transactions made on the 9 exchanges, both spot and perpetual, and will be summed into one volume indicator called " Aggregated Volume ".
Money Flow: In & Out Detector[THANHCONG]Indicator Name:
Money Flow: In & Out Detector
Indicator Description:
The Money Flow: In & Out Detector indicator uses technical indicators such as RSI (Relative Strength Index), MFI (Money Flow Index), and volume analysis to determine money inflow and outflow in the market.
This indicator helps traders identify changes in money flow, allowing them to detect buy and sell signals based on the combination of the following factors:
RSI > 50 and MFI > 50: Money inflow, indicating a buy signal.
RSI < 50 and MFI < 50: Money outflow, indicating a sell signal.
Volume increase/decrease relative to the average: Identifies strong market behavior changes.
Adjustable Parameters:
RSI Length: The number of periods to calculate the RSI (default is 14).
MFI Length: The number of periods to calculate the MFI (default is 14).
Volume MA Length: The number of periods to calculate the moving average of volume (default is 20).
Volume Increase/Decrease (%): The percentage threshold for volume change compared to the moving average (default is 20%).
Look Back Period: The number of periods used to identify peaks and troughs (default is 20).
How to Use the Indicator:
Money Inflow: When both RSI and MFI are above 50, and volume increases significantly relative to the moving average, the indicator shows a Buy signal.
Money Outflow: When both RSI and MFI are below 50, and volume decreases significantly relative to the moving average, the indicator shows a Sell signal.
Identifying Peaks and Troughs: The indicator also helps identify market peaks and troughs based on technical conditions.
Note:
This indicator assists in decision-making, but does not replace comprehensive market analysis.
Use this indicator in conjunction with other technical analysis methods to increase the accuracy of trade signals.
Steps for Publishing the Indicator on TradingView:
Log in to TradingView:
Go to TradingView and log into your account.
Access Pine Script Editor:
Click on Pine Editor from the menu under the chart.
Paste your Pine Script® code into the editor window.
Check the Source Code:
Ensure your code is error-free and running correctly.
Review the entire source code and add the MPL-2.0 license notice if necessary.
Save and Publish:
After testing and confirming the code works correctly, click Add to Chart to try the indicator on your chart.
If satisfied with the result, click Publish Script at the top right of the Pine Editor.
Provide a name for the indicator and then enter the detailed description you’ve prepared.
Ensure you specify the MPL-2.0 license in the description if required.
Choose the Access Type:
You can choose either Public or Private access for your indicator depending on your intention.
Submit for Publication:
Wait for TradingView to review and approve your indicator. Typically, this process takes a few working days for verification and approval.
User Guide:
You can share detailed instructions for users on how to use the indicator on TradingView, including how to adjust the parameters and interpret the signals. For example:
Set RSI Length: Experiment with different RSI Length values to find the sensitivity that suits your strategy.
Interpreting In/Out Signals: When there is strong money inflow (In), consider entering a buy order. When there is strong money outflow (Out), consider selling.
VWAP Double Touch Alert (Timeframe-Aware)📌 VWAP Double Touch Alert — Smart Re-entry Signal for Precision Traders
Take your VWAP trading to the next level with this intelligent indicator that filters out the noise and zeroes in on high-probability re-entry setups.
💡 How it works:
This script tracks every time price touches the VWAP line and alerts you when it happens twice within a defined window of time (adjustable per your timeframe). This is often a sign of smart money accumulation, potential reversals, or explosive breakouts.
🔍 Why Traders Love It:
✅ Filters out weak signals — only alerts on confirmed double touches
✅ Fully adjustable VWAP zone sensitivity
✅ Selectable timeframe profiles or custom window (1m, 5m, 15m, 30m, etc.)
✅ Clean visual cues with minimal chart clutter
✅ Perfect for scalping, intraday reversals, or VWAP mean-reversion strategies
⚙️ Customization:
VWAP zone width (in %)
Time window in bars or automatic based on timeframe
Custom alert messages
Alert only triggers once per double-touch event to avoid spamming
🎯 Best For:
Crypto scalpers & day traders
VWAP bounce and mean-reversion traders
Traders who want clean, conclusive entry alerts without lag
Long Short dom📊 Long Short dom (VI+) — Custom Vortex Trend Strength Indicator
This indicator is a refined version of the Vortex Indicator (VI) designed to help traders identify trend direction, momentum dominance, and potential long/short opportunities based on VI+ and VI– dynamics.
🔍 What It Shows:
• VI+ (Green Line): Measures upward trend strength.
• VI– (Red Line): Measures downward trend strength.
• Histogram (optional): Displays the difference between VI+ and VI–, helping visualize which side is dominant.
• Background Coloring: Highlights bullish or bearish dominance zones.
• Zero Line: A visual baseline to enhance clarity.
• Highest/Lowest Active Lines: Real-time markers for the strongest directional signals.
⸻
🛠️ Inputs:
• Length: Vortex calculation period (default 14).
• Show Histogram: Enable/disable VI+–VI– difference bars.
• Show Trend Background: Toggle colored zones showing trend dominance.
• Show Below Zero: Decide whether to display values that fall below 0 (for advanced use).
⸻
📈 Strategy Insights:
• When VI+ crosses above VI–, it indicates potential long momentum.
• When VI+ crosses below VI–, it signals possible short pressure.
• The delta histogram (VI+ – VI–) helps you quickly see shifts in momentum strength.
• The background shading provides an intuitive visual cue to assess trend dominance at a glance.
⸻
🚨 Built-in Alerts:
• Bullish Cross: VI+ crosses above VI– → possible entry long.
• Bearish Cross: VI+ crosses below VI– → possible entry short.
⸻
✅ Ideal For:
• Trend-following strategies
• Identifying long/short bias
• Confirming entries/exits with momentum analysis
⸻
This tool gives you clean, real-time visual insight into trend strength and shift dynamics, empowering smarter trade decisions with clarity and confidence.
Vietnamese Market Structure With CountersThis indicator is designed to track Market Structure with Swing-Low Breakdowns and Swing-High Breakups specifically tailored for the Vietnamese stock market, though it can be applied elsewhere too. By default, it uses a 10-period EMA to dynamically detect key turning points in price action and count significant breakdowns or breakups from previous swing levels.
As an open source, you can modify the source code to match your needs.
What it does:
Detects when price breaks below previous swing lows or above previous swing highs.
Plots swing levels for both highs and lows.
Displays labeled counters on the chart to show how many consecutive breakdowns or breakups have occurred.
Helps traders identify trend shifts and possible exhaustion in moves.
Why it's useful:
This tool is great for visually tracking market momentum and structure changes — especially in trending or volatile environments. It emphasizes structure over indicators, helping you understand price behavior in a simplified, intuitive way.
License:
This script is published under the Mozilla Public License 2.0. Feel free to use, modify, and contribute!
Created with care by @doqkhanh.
If you find it useful, consider leaving a comment or sharing it with others!
Parsifal.Swing.TrendScoreThe Parsifal.Swing.TrendScore indicator is a module within the Parsifal Swing Suite, which includes a set of swing indicators such as:
• Parsifal Swing TrendScore
• Parsifal Swing Composite
• Parsifal Swing RSI
• Parsifal Swing Flow
Each module serves as an indicator facilitating judgment of the current swing state in the underlying market.
________________________________________
Background
Market movements typically follow a time-varying trend channel within which prices oscillate. These oscillations—or swings—within the trend are inherently tradable.
They can be approached:
• One-sidedly, aligning with the trend (generally safer), or
• Two-sidedly, aiming to profit from mean reversions as well.
Note: Mean reversions in strong trends often manifest as sideways consolidations, making one-sided trades more stable.
________________________________________
The Parsifal Swing Suite
The modules aim to provide additional insights into the swing state within a trend and offer various trigger points to assist with entry decisions.
All modules in the suite act as weak oscillators, meaning they fluctuate within a range but are not bounded like true oscillators (e.g., RSI, which is constrained between 0% and 100%).
________________________________________
The Parsifal.Swing.TrendScore – Specifics
The Parsifal.Swing.TrendScore module combines short-term trend data with information about the current swing state, derived from raw price data and classical technical indicators. It provides an indication of how well the short-term trend aligns with the prevailing swing, based on recent market behavior.
________________________________________
How Swing.TrendScore Works
The Swing.TrendScore calculates a swing score by collecting data within a bin (i.e., a single candle or time bucket) that signals an upside or downside swing. These signals are then aggregated together with insights from classical swing indicators.
Additionally, it calculates a short-term trend score using core technical signals, including:
• The Z-score of the price's distance from various EMAs
• The slope of EMAs
• Other trend-strength signals from additional technical indicators
These two components—the swing score and the trend score—are then combined to form the Swing.TrendScore indicator, which evaluates the short-term trend in context with swing behavior.
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How to Interpret Swing.TrendScore
The trend component enhances Swing.TrendScore’s ability to provide stronger signals when the short-term trend and swing state align.
It can also override the swing score; for example, even if a mean reversion appears to be forming, a dominant short-term trend may still control the market behavior.
This makes Swing.TrendScore particularly valuable for:
• Short-term trend-following strategies
• Medium-term swing trading
Unlike typical swing indicators, Swing.TrendScore is designed to respond more to medium-term swings rather than short-lived fluctuations.
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Behavior and Chart Representation
The Swing.TrendScore indicator fluctuates within a range, as most of its components are range-bound (though Z-score components may technically extend beyond).
• Historically high or low values may suggest overbought or oversold conditions
• The chart displays:
o A fast curve (orange)
o A slow curve (white)
o A shaded background representing the market state
• Extreme values followed by curve reversals may signal a developing mean reversion
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TrendScore Background Value
The Background Value reflects the combined state of the short-term trend and swing:
• > 0 (shaded green) → Bullish mode: swing and short-term trend both upward
• < 0 (shaded red) → Bearish mode: swing and short-term trend both downward
• The absolute value represents the confidence level in the market mode
Notably, the Background Value can remain positive during short downswings if the short-term trend remains bullish—and vice versa.
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How to Use the Parsifal.Swing.TrendScore
Several change points can act as entry triggers or aids:
• Fast Trigger: change in slope of the fast signal curve
• Trigger: fast line crosses slow line or the slope of the slow signal changes
• Slow Trigger: change in sign of the Background Value
Examples of these trigger points are illustrated in the accompanying chart.
Additionally, market highs and lows aligning with the swing indicator values may serve as pivot points in the evolving price process.
________________________________________
As always, this indicator should be used in conjunction with other tools and market context in live trading.
While it provides valuable insight and potential entry points, it does not predict future price action.
Instead, it reflects recent tendencies and should be used judiciously.
________________________________________
Extensions
The aggregation of information—whether derived from bins or technical indicators—is currently performed via simple averaging. However, this can be modified using alternative weighting schemes, based on:
• Historical performance
• Relevance of the data
• Specific market conditions
Smoothing periods used in calculations are also modifiable. In general, the EMAs applied for smoothing can be extended to reflect expectations based on relevance-weighted probability measures.
Since EMAs inherently give more weight to recent data, this allows for adaptive smoothing.
Additionally, EMAs may be further extended to incorporate negative weights, akin to wavelet transform techniques.
Nifty Sectoral Performance ComparisonThis Pine Script indicator tracks and compares the percentage performance of Indian sectoral and thematic indices (e.g., Nifty 50, Nifty Bank, Nifty IT) relative to their starting price in a user-defined timeframe. Performance is plotted as colored lines on the chart, with transparent labels showing percentage changes. A user-configurable label offset ensures clarity. Ideal for analyzing sectoral trends in the Indian market.
Features
Multi-Index Tracking:
Monitors up to 21 indices in five groups:
Core/Large Cap: Nifty 50, Nifty Bank, Nifty Auto, Nifty IT, Nifty FMCG, Nifty Fin Services
Thematic/Sectoral: SENSEX, Nifty Healthcare, Nifty Metal, Nifty Pharma
Bank Sub-Indices & Realty: Nifty Pvt Bank, Nifty PSU Bank, Nifty Realty
Consumption & Energy: Nifty ConsDurables, Nifty Oil & Gas
MidSmall Cap Thematic: Nifty MidSmFinSrv, S&P BSE Healthcare, Nifty MidSmIT&Tel
Calculates performance as the percentage change from the first valid close in the timeframe.
Customizable Display:
Toggle each index on/off via boolean inputs.
Define ticker symbols and colors for each index (e.g., Blue for Nifty 50, Green for Nifty Fin Services).
Colors are preset but editable for clear differentiation.
Labeling:
Displays index name and performance (e.g., "Nifty 50: 12.34%") with transparent labels (no background).
Labels match the plot color and are positioned using a user-defined offset (in bars) to avoid overlap.
Precision and Timeframe:
Shows performance with two decimal places.
Supports custom timeframes (e.g., daily, weekly) for flexible analysis.
Overlay Mode:
Plots performance lines on the price chart for direct comparison with price movements.
Inputs
Label Offset (Bars): Set label position left of the current bar (default: 5, min: 0).
Show : Enable/disable each index’s plot and label.
Ticker : Specify ticker symbols (e.g., NSE:NIFTY).
Color : Choose plot and label colors.
How It Works
Performance Calculation:
Fetches closing prices via request.security for the specified ticker and timeframe.
Captures the first valid close as the starting price.
Computes performance: ((current_price / start_price) - 1) * 100.
Handles invalid data (e.g., na or zero start price) by returning na.
Plotting:
Plots enabled indices with valid performance as lines (linewidth: 1) in user-defined colors.
Labeling:
Creates labels for enabled indices with valid performance at bar_index - label_offset and the performance value.
Labels show the index name and percentage (e.g., "Auto: 5.67%") in the plot’s color, with no background.
Usage
Setup: Apply to a TradingView chart and set the desired timeframe.
Customize:
Enable relevant indices, adjust tickers, and modify colors.
Set Label Offset to position labels clearly.
Analyze:
Compare lines to spot outperforming/underperforming sectors.
Use labels for precise performance values.
Pair with price action or other indicators for trading insights.
Parsifal.Swing.CompositeThe Parsifal.Swing.Composite indicator is a module within the Parsifal Swing Suite, which includes a set of swing indicators such as:
• Parsifal Swing TrendScore
• Parsifal Swing Composite
• Parsifal Swing RSI
• Parsifal Swing Flow
Each module serves as an indicator facilitating judgment of the current swing state in the underlying market.
________________________________________
Background
Market movements typically follow a time-varying trend channel within which prices oscillate. These oscillations—or swings—within the trend are inherently tradable.
They can be approached:
• One-sidedly, aligning with the trend (generally safer), or
• Two-sidedly, aiming to profit from mean reversions as well.
Note: Mean reversions in strong trends often manifest as sideways consolidations, making one-sided trades more stable.
________________________________________
The Parsifal Swing Suite
The modules aim to provide additional insights into the swing state within a trend and offer various trigger points to assist with entry decisions.
All modules in the suite act as weak oscillators, meaning they fluctuate within a range but are not bounded like true oscillators (e.g., RSI, which is constrained between 0% and 100%).
________________________________________
The Parsifal.Swing.Composite – Specifics
This module consolidates multiple insights into price swing behavior, synthesizing them into an indicator reflecting the current swing state.
It employs layered bagging and smoothing operations based on standard price inputs (OHLC) and classical technical indicators. The module integrates several slightly different sub-modules.
Process overview:
1. Per candle/bin, sub-modules collect directional signals (up/down), with each signal casting a vote.
2. These votes are aggregated via majority counting (bagging) into a single bin vote.
3. Bin votes are then smoothed, typically with short-term EMAs, to create a sub-module vote.
4. These sub-module votes are aggregated and smoothed again to generate the final module vote.
The final vote is a score indicating the module’s assessment of the current swing state. While it fluctuates in a range, it's not a true oscillator, as most inputs are normalized via Z-scores (value divided by standard deviation over a period).
• Historically high or low values correspond to high or low quantiles, suggesting potential overbought or oversold conditions.
• The chart displays a fast (orange) and slow (white) curve against a solid background state.
• Extreme values followed by curve reversals may signal upcoming mean-reversions.
Background Value:
• Value > 0: shaded green → bullish mode
• Value < 0: shaded red → bearish mode
• The absolute value indicates confidence in the mode.
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How to Use the Parsifal.Swing.Composite
Several change points in the indicator serve as potential entry triggers:
• Fast Trigger: change in slope of the fast curve
• Trigger: fast line crossing the slow line or change in the slow curve’s slope
• Slow Trigger: change in sign of the background value
These are illustrated in the introductory chart.
Additionally, market highs and lows aligned with swing values may act as pivot points, support, or resistance levels for evolving price processes.
________________________________________
As always, supplement this indicator with other tools and market information. While it provides valuable insights and potential entry points, it does not predict future prices. It reflects recent tendencies and should be used judiciously.
________________________________________
Extensions
All modules in the Parsifal Swing Suite are simple yet adaptable, whether used individually or in combination.
Customization options:
• Weights in EMAs for smoothing are adjustable
• Bin vote aggregation (currently via sum-of-experts) can be modified
• Alternative weighting schemes can be tested
Advanced options:
• Bagging weights may be historical, informational, or relevance-based
• Selection algorithms (e.g., ID3, C4.5, CAT) could replace the current bagging approach
• EMAs may be generalized into expectations relative to relevance-based probability
• Negative weights (akin to wavelet transforms) can be incorporated
CoffeeShopCrypto Supply Demand PPO AdvancedCoffeeShopCrypto PPO Advanced is a structure-aware momentum oscillator and price-trend overlay designed to help traders interpret momentum strength, exhaustion, and continuation across evolving market conditions. It’s not a “buy/sell” signal tool — it's a momentum context tool that helps confirm trend intent.
Original Code derived from the Price Oscillator Indicators (PPO) found in the TradingView Technical Indicators categories. You can view the info and calculation for the original PPO here
www.tradingview.com
Much like the MACD, the PPO uses a couple lagging indicators to present Momentum as a percentage. But it lacks context to market structure.
What It’s Based On
This tool is based on a dual-moving-average PPO oscillator structure (Percentage Price Oscillator) enhanced by:
Oscillator pivot structure: detection of Lower Highs (LH) and Higher Lows (HL) inside the oscillator.
Detection of Supply and Demand Trends via Market Absorption
Ability to transfer its average plots to price action
Detection of Trend Exhaustion
Real-time price-based exhaustion levels: projecting potential future supply and demand using trendlines from weakening momentum.
Integrated fast and slow Moving Averages on price using the same inputs as the oscillator, to visualize alignment between short- and long-term trends.
These elements combine momentum context with price action in a visual, intuitive system.
How It Works
1. Oscillator Structure
LHs (above zero): momentum weakening in uptrends.
HLs (below zero): momentum strengthening in downtrends.
Only valid pivots are shown (e.g., an LH must be preceded by a valid LL).
2. Exhaustion Levels
Green demand lines: price is making new lows, but oscillator prints HL → potential exhaustion.
Red supply lines: price is making new highs, but oscillator prints LH → potential exhaustion.
These lines are future-facing, projecting likely reaction zones based on momentum weakening.
3. Moving Averages on Price
Two MAs are drawn on the price chart:
Fast MA (same length as PPO short input)
Slow MA (same length as PPO long input)
These are not signal lines — they're visual guides for trend alignment.
MA crossover = PO crosses zero. This indicates short- and long-term momentum are syncing — a powerful signal of trend conviction.
When price is above both MAs, and the PO is rising above zero, bullish momentum is dominant.
When price is below both MAs, and the PO is falling below zero, bearish momentum dominates.
How Traders Can Use It
✅ Spot Trend Initiation
Wait for clear trend confirmation in price.
Use PPO Momentum+ to confirm momentum structure is aligned (e.g., HH/HL in oscillator + price above both MAs).
🔁 Track Continuations
In uptrends, look for oscillator HH and HL sequences with price holding above both MAs.
In downtrends, seek LL and LH sequences with price below both MAs.
⚠️ Watch for Exhaustion
Price breaking below red (supply) lines after oscillator LH = bearish exhaustion signal.
Price breaking above green (demand) lines after oscillator HL = bullish exhaustion signal.
These levels act like pre-mapped S/R zones, showing where momentum previously failed and price may react.
Why This Is Different
Momentum tools often lag or mislead when used blindly. This tool visualizes structural failure in momentum and maps potential outcomes. The integration of oscillator and price-based tools ensures traders are always reading context, not just raw signals.
Demand Trendlines
Demand trendlines show us Wykoff's law of "Absorbed Supply Reversal" In real time.
When aggressive selling pressure is persistently absorbed by passive buying interest without significant downward price continuation, and supply becomes exhausted, the market structure shifts as demand regains control—resulting in a directional reversal to the upside.
This commonly happens in a 3 phase interaction of price.
1. Selling pressure is absorbed quickly by buyers.
This PPO tool will calculate the trend of this absorption process
2. After there is a notable Bearish Exhaustion of price action, the PPO tool will draw a trendline of this absorption showing us the potential future prices where aggressive buyers will want to step in at lower prices.
3. After higher lows are defined in the oscillator, you'll see prices react in a strong bullish pattern at this trendline where aggressive buyers stepped in to reverse price action to the upside.
Supply Trendlines
Supply trendlines show us Wykoff's law of "Absorbed Demand Reversal" In real time.
When aggressive buying pressure is persistently absorbed by passive selling interest without significant downward price continuation, and demand becomes exhausted, the market structure shifts as supply regains control—resulting in a directional reversal to the downside.
This commonly happens in a 3 phase interaction of price.
1. Buying pressure is absorbed quickly by sellers.
This PPO tool will calculate the trend of this absorption process.
2. After there is a notable Bullish Exhaustion of price action, the PPO tool will draw a trendline of this absorption showing us the potential future prices where aggressive sellers will want to step in at higher prices.
3. After lower highs are defined in the oscillator, you'll see prices react in a strong bearish pattern at this trendline where aggressive sellers stepped in to reverse price action to the downside.
Lower High and Higher Low Signals
When the oscillator signals Lower Highs or High Lows its only noting that momentum in that trend direction is slowing. THis indicates a coming pause in the market and the proceeding longs of an uptrend or shorts of a downtrend should be taken with caution.
**These LH and HL markers are not reading as divergences in price vs momentum.**
They are simply registering against the highs and lows of itself..
Moving Averages on Price Action
The Oscillator will cross over its ZERO level the same time your Short and Long MAs cross each other. This will indicate that the short term average trend is moving ahead of the long term.
Crossovers are not an entry signal. It's a method in determining you current timeframe trend strength. Always observe price action as it passes through each of your moving averages and compare it to the positioning and direction of the oscillator.
If price dips in between the moving averages while the oscillator still shows a strong trend strength, you can wait for price to move ahead of your fast moving average.
Bar Colors and Signal Line for Trend Strength
Good Bullish Trend = Oscillator above zero + Signal rising below Oscillator
Weak Bullish Trend = Oscillator above zero + Signal above Oscillator
Good Bearish Trend = Oscillator below zero + Signal falling above Oscillator
Weak Bearish Trend = Oscillator below zero + Signal below Oscillator
Bar Colors
Bars are colored to match Oscillator Momentum Strength. Colors are set by user.
Why alter the known PPO (Percentage Price Oscillator) in this manner?
The PPO tool is great for measuring the strength as percentage of price action over and average amount of candles however, with these changes,
you know have the ability to correlate:
Wycoff theory of supply and demand,
Measure the depth of reversals and pullback by price positioning against moving averages,
Project potential reversal and exhaustion pricing,
Visibly note the structure of momentum much like you would note market structure,
Its not enough to know there is momentum. Its better to know
A) Is it enough
B) Is there something in the way which will cause price to push back
C) Does this momentum correlate to the prevailing trend
Sine Swing OscillatorThe Sine Swing Oscillator (SSO) is a custom momentum indicator that transforms price movement into a sine-based oscillator ranging from -1 to +1. It does this by measuring the deviation of the current price from a reference price, which is updated at fixed bar intervals. The price deviation is normalized using the Average True Range (ATR) over the same interval, then mapped through a sine transformation to create a bounded oscillator. This transformation helps identify cyclical price behavior in a consistent range.
The resulting sine values are smoothed using a Simple Moving Average (SMA), and a signal line is derived by applying an Exponential Moving Average (EMA) to the smoothed oscillator. Traders can use signal line crossovers, or moves through the zero line, to help identify potential entry or exit signals based on cyclical momentum shifts.
The oscillator and signal line are plotted in a separate pane, with user-configurable smoothing lengths and colors. The zero line is also included for reference.
