WT + Stoch RSI Reversal Combo📊MR.Z RSI : WT + Stochastic RSI Reversal Combo
This custom indicator combines WaveTrend oscillator and Stochastic RSI to detect high-confidence market reversal points, filtering signals so they only appear when both indicators align.
🔍 Core Components:
✅ WaveTrend Oscillator
Based on smoothed deviation from EMA (similar to TCI logic)
Plots:
WT1 (main line)
WT2 (signal line = SMA of WT1)
Uses overbought/oversold thresholds (default: ±53) to filter signals
✅ Stochastic RSI
Momentum oscillator based on RSI's stochastic value
Plots:
%K: smoothed Stoch of RSI
%D: smoothed version of %K
Adjustable oversold/overbought thresholds (default: 20/80)
🔁 Combined Reversal Signal Logic:
🔼 Buy Signal
WT1 crosses above WT2 below WT oversold level (e.g., -53)
%K crosses above %D below Stoch RSI oversold level (e.g., 20)
🔽 Sell Signal
WT1 crosses below WT2 above WT overbought level (e.g., 53)
%K crosses below %D above Stoch RSI overbought level (e.g., 80)
🔔 Signals are only plotted and alerted if both conditions are true.
📌 Features:
Toggle on/off:
WaveTrend lines and histogram
Stochastic RSI
Combined Buy/Sell signals
Horizontal reference lines (±100, OB/OS)
Fully customizable smoothing lengths and thresholds
Signal plots:
✅ Green up-triangle = Combo Buy
✅ Red down-triangle = Combo Sell
Optional: Circle/cross markers for WT-only and Stoch-only signals
🔔 Built-in alerts for Buy/Sell signals
📈 Use Cases:
Reversal Trading: Wait for both indicators to confirm momentum shift
Entry Filter: Use in combination with trend indicators (like EMA)
Scalping or Swing: Works on intraday and higher timeframes
Trend Analysis
Custom Opening TimesThis indicator displays custom opening levels on your chart. Define multiple opening times, each with its own customizable style. Display these levels as horizontal lines at the opening price, or as vertical lines to mark the opening time.
Custom Opening Times
4 Independent Groups with 4 custom opening levels each
Set any custom opening time (displayed in New York Local Time)
Choose between Opening Price lines, Vertical time markers, or Both
Cutoff Times: Stop extending lines after specified times
Higher Timeframe Levels
5 Configurable HTF levels supporting any timeframe
Display opening prices from Daily, Weekly, Monthly, Quarterly, and custom timeframes
Show Previous High/Low levels from higher timeframes
Kairos BarakahTrade with precision during high-probability windows using this advanced Pine Script indicator, designed specifically for Indian Standard Time (IST). The tool identifies key reversal opportunities within a user-defined trading session, combining time-based reference levels, sequence-validated signals, and multi-factor win probability analysis for confident decision-making.
Key Features
1. Time-Based Reference Levels
Automatically sets high/low reference levels at a customizable start time (default: 19:00 IST).
Active trading window with adjustable duration (default: 135 minutes).
Clear visual reference lines for easy tracking.
2. Intelligent Signal Generation
Initial Signals:
Buy (B): Triggered when price closes above the reference high.
Sell (S): Triggered when price closes below the reference low.
Reversal Signals (R):
Valid only after an initial signal, ensuring proper sequence.
Buy Reversal: Price closes above reference high (after a Sell signal).
Sell Reversal: Price closes below reference low (after a Buy signal).
3. Multi-Dimensional Win Probability
Body Strength: Measures candle conviction (body size / total range).
Volume Confirmation: Compares current volume to 20-period average.
Trend Alignment: Uses EMA crosses (9/21) and RSI (14) for momentum.
Composite Score: Weighted blend of all factors, color-coded for quick interpretation:
🟢 >70%: High-confidence signal.
🟠 40-69%: Moderate confidence.
🔴 <40%: Weak signal.
4. Professional Visualization
Clean labels (B/S/R) at signal points.
Real-time reference table showing levels, active signal, and probabilities.
Customizable alerts for all signal types.
Why Use This Indicator?
IST-Optimized: Tailored for Indian market hours.
Rules-Based Reversals: Avoids false signals with strict sequence checks.
Data-Driven Confidence: Win probability metrics reduce guesswork.
Flexible Setup: Adjust time windows and parameters to fit your strategy.
Stochastic Z-Score [AlgoAlpha]🟠 OVERVIEW
This indicator is a custom-built oscillator called the Stochastic Z-Score , which blends a volatility-normalized Z-Score with stochastic principles and smooths it using a Hull Moving Average (HMA). It transforms raw price deviations into a normalized momentum structure, then processes that through a stochastic function to better identify extreme moves. A secondary long-term momentum component is also included using an ALMA smoother. The result is a responsive oscillator that reacts to sharp imbalances while remaining stable in sideways conditions. Colored histograms, dynamic oscillator bands, and reversal labels help users visually assess shifts in momentum and identify potential turning points.
🟠 CONCEPTS
The Z-Score is calculated by comparing price to its mean and dividing by its standard deviation—this normalizes movement and highlights how far current price has stretched from typical values. This Z-Score is then passed through a stochastic function, which further refines the signal into a bounded range for easier interpretation. To reduce noise, a Hull Moving Average is applied. A separate long-term trend filter based on the ALMA of the Z-Score helps determine broader context, filtering out short-term traps. Zones are mapped with thresholds at ±2 and ±2.5 to distinguish regular momentum from extreme exhaustion. The tool is built to adapt across timeframes and assets.
🟠 FEATURES
Z-Score histogram with gradient color to visualize deviation intensity (optional toggle).
Primary oscillator line (smoothed stochastic Z-Score) with adaptive coloring based on momentum direction.
Dynamic bands at ±2 and ±2.5 to represent regular vs extreme momentum zones.
Long-term momentum line (ALMA) with contextual coloring to separate trend phases.
Automatic reversal markers when short-term crosses occur at extremes with supporting long-term momentum.
Built-in alerts for oscillator direction changes, zero-line crosses, overbought/oversold entries, and trend confirmation.
🟠 USAGE
Use this script to track momentum shifts and identify potential reversal areas. When the oscillator is rising and crosses above the previous value—especially from deeply negative zones (below -2)—and the ALMA is also above zero, this suggests bullish reversal conditions. The opposite holds for bearish setups. Reversal labels ("▲" and "▼") appear only when both short- and long-term conditions align. The ±2 and ±2.5 thresholds act as momentum warning zones; values inside are typical trends, while those beyond suggest exhaustion or extremes. Adjust the length input to match the asset’s volatility. Enable the histogram to explore underlying raw Z-Score movements. Alerts can be configured to notify key changes in momentum or zone entries.
Prev Candle Quarters (MTF) – % + PriceThis TradingView indicator visualizes quarter levels (25%, 50%, 75%, 100%) of the previous candle body from a user-selected higher timeframe, helping traders identify key reaction zones within a candle’s structure.
ulti-Timeframe Input: Choose between 15m, 1H, or 2H candles for your measurement basis.
Body-Based Calculation: Measures from open to close of the previous candle (not wick-to-wick), reflecting where price actually closed.
Precise Quarter Levels: Automatically draws horizontal lines at 25%, 50%, 75%, and 100% of the candle body.
Custom Toggles: Enable or disable each individual level via checkboxes.
Price + % Labels: Each level includes a clean label showing the exact price and corresponding percentage.
Williams Percent Range with ThresholdEnhance your trading analysis with the "Williams Percent Range with Threshold" indicator, a powerful modification of the classic Williams %R oscillator. This custom version introduces customizable uptrend and downtrend thresholds, combined with dynamic candlestick coloring to visually highlight market trends. Originally designed to identify overbought and oversold conditions, this script takes it a step further by allowing traders to define specific threshold levels for trend detection, making it a versatile tool for momentum and trend-following strategies.
Key Features:
Customizable Thresholds: Set your own uptrend (default: -16) and downtrend (default: -67) thresholds to adapt the indicator to your trading style.
Dynamic Candlestick Coloring: Candles turn green during uptrends, red during downtrends, and gray in neutral conditions, providing an intuitive visual cue directly on the price chart.
Flexible Length: Adjust the lookback period (default: 50) to fine-tune sensitivity.
Overlay Design: Integrates seamlessly with your price chart, enhancing readability without clutter.
How It Works:
The Williams %R calculates the current closing price's position relative to the highest and lowest prices over a specified period, expressed as a percentage between -100 and 0. This version adds trend detection based on user-defined thresholds, with candlestick colors reflecting the trend state. The indicator plots the %R line with color changes (green for uptrend, red for downtrend) and includes dashed lines for the custom thresholds.
Usage Tips:
Use the uptrend threshold (-16 by default) to identify potential buying opportunities when %R exceeds this level.
Apply the downtrend threshold (-67 by default) to spot selling opportunities when %R falls below.
Combine with other indicators (e.g., moving averages or support/resistance levels) for confirmation signals.
Adjust the length and thresholds based on the asset's volatility and your trading timeframe.
WT + Stoch RSI Reversal ComboOverview – WT + Stoch RSI Reversal Combo
This custom TradingView indicator combines WaveTrend (WT) and Stochastic RSI (Stoch RSI) to detect high-probability market reversal zones and generate Buy/Sell signals.
It enhances accuracy by requiring confirmation from both oscillators, helping traders avoid false signals during noisy or weak trends.
🔧 Key Features:
WaveTrend Oscillator with optional Laguerre smoothing.
Stochastic RSI with adjustable smoothing and thresholds.
Buy/Sell combo signals when both indicators agree.
Histogram for WT momentum visualization.
Configurable overbought/oversold levels.
Custom dotted white lines at +100 / -100 levels for reference.
Alerts for buy/sell combo signals.
Toggle visibility for each element (lines, signals, histogram, etc.).
✅ How to Use the Indicator
1. Add to Chart
Paste the full Pine Script code into TradingView's Pine Editor and click "Add to Chart".
2. Understand the Signals
Green Triangle (BUY) – Appears when:
WT1 crosses above WT2 in oversold zone.
Stoch RSI %K crosses above %D in oversold region.
Red Triangle (SELL) – Appears when:
WT1 crosses below WT2 in overbought zone.
Stoch RSI %K crosses below %D in overbought region.
⚠️ A signal only appears when both WT and Stoch RSI agree, increasing reliability.
3. Tune Settings
Open the settings ⚙️ and adjust:
Channel Lengths, smoothing, and thresholds for both indicators.
Enable/disable visibility of:
WT lines
Histogram
Stoch RSI
Horizontal level lines
Combo signals
4. Use with Price Action
Use this indicator in conjunction with support/resistance zones, chart patterns, or trendlines.
Works best on lower timeframes (5m–1h) for scalping or 1h–4h for swing trading.
5. Set Alerts
Set alerts using:
"WT + Stoch RSI Combo BUY Signal"
"WT + Stoch RSI Combo SELL Signal"
This helps you catch setups in real time without watching the chart constantly.
📊 Ideal Use Cases
Reversal trading from extremes
Mean reversion strategies
Timing entries/exits during consolidations
Momentum confirmation for breakouts
Lorentzian Theory Classifier🧮 Lorentzian Theory Classifier: An Observatory for Market Spacetime
Transcend the flat plane of traditional charting. Enter the curved, dynamic reality of market spacetime. The Lorentzian Theory Classifier (LTC) is not an indicator; it is a computational observatory. It is an instrument engineered to decode the geometry of market behavior, revealing the hidden curvatures and resonant frequencies that precede significant turning points.
We discard the outdated tools of Euclidean simplicity and embrace a more profound truth: financial markets, much like the cosmos described by general relativity, are governed by a fabric that is warped by the mass of participation and the energy of volatility. The LTC is your lens to perceive this fabric, to move beyond predicting lines on a chart and begin reading the very architecture of probability.
The Resonance Manifold: Standard Euclidean models search for historical analogues within a rigid sphere, missing the crucial outliers that define market extremes. The LTC's Lorentzian Resonance engine operates in a curved, non-Euclidean space, allowing it to connect with these "fat-tail" events—the true genesis points of major reversals.
🌌 THE THEORETICAL FRAMEWORK: A new Grand Unified Theory of Market Analysis
The LTC is built upon a revolutionary synthesis of concepts from special relativity, quantum mechanics, and information theory. It reframes market analysis not as a problem of forecasting, but as a problem of state recognition in a non-Euclidean manifold.
1. The Lorentzian Kernel: The Mathematics of Reality
Financial markets are not Gaussian. Their reality is one of "fat tails"—sudden, high-impact events that standard models dismiss as anomalies. The LTC acknowledges this reality by using the mathematically pure and robust Lorentzian kernel as its core engine:
Similarity(x, y) = 1 / (1 + (||x − y||² / γ²))
||x − y||²: The squared distance between the current market state (x) and a historical state (y) in our 8-dimensional feature space.
γ (Gamma): A dynamic bandwidth parameter, our "Lorentz factor," which adapts to market entropy (chaos). In calm markets, gamma is small, demanding precise resonance. In chaotic markets, gamma expands, intelligently seeking broader patterns.
This heavy-tailed function is revolutionary. It correctly assigns profound significance to the rare, extreme events that truly define market structure, while gracefully tuning out the noise of mundane price action. It doesn't just calculate; it understands context.
2. The 8-Dimensional State Vector: The Market's Quantum Fingerprint
To achieve a holistic view, the LTC projects the market onto an 8-dimensional Hilbert space, where each dimension represents a critical "observable":
Momentum & Acceleration (f_rsi, f_roc): The market's velocity and its rate of change.
Cyclical Position (f_stoch, f_cci): The market's location within its recent oscillation cycles.
Energy & Participation (f_vol, f_cor): The force of capital flow and its harmony with price.
Chaos & Uncertainty (f_ent, f_mom): The degree of randomness and the standardized force of price changes.
These are not eight separate indicators. They are entangled properties of a single "market wavefunction." The LTC's genius lies in measuring the geometric distance between these complete quantum states.
3. The k-NN Oracle: A Council of Past Universes
The LTC employs a k-Nearest Neighbors algorithm, but in our curved Lorentzian spacetime. It poses a constant, profound question: " Which moments in history are most geometrically congruent to the present moment across all eight dimensions? "
It then summons a "council" of these historical neighbors. Each neighbor's future outcome (did price ascend or descend?) casts a vote, weighted by its resonant similarity. The result is a probabilistic forecast of stunning clarity:
Prognosis: The final weighted consensus on future direction.
Assurance: The degree of unanimity within the council—a direct measure of the prediction's confidence.
The Funnel of Conviction: The LTC's process is a rigorous distillation of information. Raw, chaotic market data is resolved into a clean 8-dimensional state vector. The Lorentzian Kernel filters these states for resonance, which are then passed to the k-NN Oracle for a vote. Noise is eliminated at each stage, resulting in a single, validated, high-conviction signal.
⚙️ THE COMMAND CONSOLE: A Guide to Calibrating Your Observatory
Mastering the LTC's inputs is to become an architect of your own analytical universe. Each parameter is a dial that tunes the observatory's focus, from galactic structures to subatomic fluctuations. The tooltips in-script—over 6,000 words of documentation—provide immediate reference; this guide provides the philosophy.
A summarized guide to the Core, Signal, Supreme, and Visual controls is included directly in the indicator's code and tooltips. We encourage all users to explore these settings to tune the LTC to their unique analytical style.
🏆 THE SUPREME DASHBOARD: Your Mission Control
The dashboard is not a data table; it is your command interface with market reality. It translates the intricate dance of probabilities and vectors into clear, actionable intelligence.
⚡ ORACLE STATUS
Prognosis: The primary directional vector. Its color, magnitude, and emoji (⚡) reveal the strength and conviction of the Oracle's forward guidance.
Assurance: A real-time gauge of prediction quality, from "LOW" (high uncertainty) to "ELITE" (overwhelming statistical consensus). Interpret this as your core risk metric: trade with conviction when Assurance is ELITE; trade with caution when it is LOW.
🔮 RESONANCE ANALYSIS
Chaos: A direct measurement of market entropy. "LOW CHAOS" signifies a predictable, orderly regime. "HIGH CHAOS" is a warning of randomness and unpredictability, where trend-following logic may fail.
Turbulence: A measure of raw volatility. When the market is "TURBULENT," expect wider price swings and increased risk. Use this metric to adjust stop-loss distances and profit targets dynamically.
🏆 PERFORMANCE & ⚔️ GUARD METRICS
These sections provide illustrative statistics on the script's recent historical behavior. Metrics like Yield Ratio and Guard Index offer a quick heuristic on the prevailing risk-reward environment. Crucially, these are for observational context only and are not a substitute for your own rigorous testing and analysis.
🎨 THE VISUAL MANIFESTATION: Charting the Unseen
The LTC's visuals are designed to transform your chart from a 2D price graph into a 4D informational battlespace.
The Dynamic Aura (Background Color): This is the ambient energy field of the market. A luminous green (Ascend) signifies a bullish resonance field; a deep red (Descend) indicates bearish pressure.
The Assurance Shroud (Blue Bands): A visualization of confidence. When the shroud is wide and expansive , the Oracle's vision is clear and its predictions are robust.
The Prognosis Arc (Curved Line): A geodesic projection of the market's most likely path, based on the current Prognosis.
The Turbulence Cloud (Orange Mist): A visual warning system for market chaos. When this entropic mist expands , it is a clear sign that you are navigating a nebula of high unpredictability.
Oracle Markers (▲▼): The final, validated signals. These are not merely pivot points. They are moments in spacetime where a structural pivot has been confirmed and then ratified by a high-conviction vote from the Lorentzian Oracle. They are the pinnacles of confluence.
The Analyst's Observatory: The LTC transforms your chart into a command center for market analysis, providing a complete, at-a-glance view of market state, risk, and probabilistic trajectory.
🔧 THE ARCHITECT'S VISION: From a Blank Slate to a New Cosmos
The LTC was not assembled; it was derived. It began not with code, but with first principles, asking: "If we were to build an instrument to measure the market today, unbound by the technical dogmas of the 20th century, what would it look like?" The answer was clear: it must be multi-dimensional, it must be adaptive, and it must be built on a mathematical framework that respects the "fat-tailed" nature of reality.
The decision to use a pure Lorentzian kernel was non-negotiable. It represented a commitment to intellectual honesty over computational ease. The development of the Supreme Dashboard was driven by the philosophy of the "glass cockpit"—a belief that a trader's greatest asset is not a black box signal, but a transparent and intuitive flow of high-quality information. This script is the result of that unwavering vision: to create not just another indicator, but a new lens through which to perceive the market.
⚠️ RISK DISCLOSURE & PHILOSOPHY OF USE
The Lorentzian Theory Classifier is an instrument of profound analytical power, intended for the serious, discerning trader. It does not generate infallible signals. It generates high-probability, data-driven hypotheses based on a rigorous and transparent methodology. All trading involves substantial risk, and the future is fundamentally unknowable. Past performance, whether real or simulated, is no guarantee of future results. Use this tool to augment your own skill, to confirm your own analysis, and to manage your own risk within a well-defined trading plan.
"The effort to understand the universe is one of the very few things that lifts human life a little above the level of farce, and gives it some of the grace of tragedy."
— Steven Weinberg, Nobel Laureate in Physics
Trade with rigor. Trade with perspective. Trade with enlightenment. Trade with insight. Trade with anticipation.
— Dskyz, for DAFE Trading Systems
RSS-Stochastik [afterworktrading]Hi all,
this is the first script from the series "afterworktrading". The goal is to develop and provide tools for traders with a fulltime job or little time for trading/analyzing charts.
Over time some of the scripts will also be linked to complete trading systems.
Let's start with my favourite one, the "RSS-Stochastik" with alert function.
The RSS-concept (Relative Spread Strength, developed by Ian Copsey) is based on the variance between a "short" and a "long" moving averages (or "slow" and "fast"), here between two EMA.
This variance is calculated and plotted in a RSI-diagram to show "overbought" and "oversold" conditions, helping to identify an ideal entry setup for trend continuation or catching a possible reversal.
Compared to the conventional RSI etc., possible reversal or trend continuation areas are often better represented in terms of quality, as an example see the Amazon-Chart.
The EMA-values, limit value thresholds and background colors can be set in the script. As a special feature, alarms can be set to be notified when a value has reached the extreme range. This reduces the screen time to the minimum.
In my personal trading, this indicator forms the basis for almost all trades, but is not a pure signal indicator on its own.
However, the informative value can be further improved if volume or support/resistance zones etc. are linked to the RSS, see example NASDAQ future with support zone price or 200 EMA.
Example for a possible RSS-Trade-Setup:
- choose an asset with a strong trend
- set alerts for crossing the oversold or overbought condition in direction of the trend
- in case of an alert check possible support/resistance areas on the current chart level (EMA, price zones, volume zones, anchored VWAP etc.)
- trade in the direction of the trend using your preferred entry setup
In my opinion, the system can be used very well, especially in trend phases, in order to obtain optimal entries.
Does it works also on lower timeframes?
Yes, it might work on every timeframe with a strong trend of high quality. Please see attached a 5m-Chart of GPBUSD-pair, notice the signal quality in direction of the trend.
Like every trading system this is not the "holy grail setup" and you will have losing trades. But handling this indicator with care you can have better entries especially in trend direction with less screen time due to the alert function.
Good luck with it! Further indicators will be published in the coming months, some will also be based on the RSS system.
As always: no liability for losing trades, no investment advice etc. Observe the risk limit for every trade!
Smart Money Concepts - By TradingNexus – Pro Visual Edition📊 Smart Money Concepts by TradingNexus
This script is designed for clean and visual Smart Money analysis.
This script identifies Smart Money Concepts with a clean and powerful visual layout, focusing on high-probability zones.
It displays:
Order Blocks (OB↑ / OB↓) when there's strong bullish or bearish candle reversal.
Fair Value Gaps (FVG↑ / FVG↓) only after impulsive candles (e.g., breaking previous highs/lows).
Break of Structure (BOS↑ / BOS↓) when a real structural shift happens.
🔥 Strong Zones only when OB + FVG + BOS align — these are ideal institutional entry areas.
CandleSensei – EMA200, Wick & Pattern Alerts)CandleSensei is an advanced Pine Script designed for traders who need real-time alerts on key price action signals and candlestick patterns. It combines EMA200 analysis, volatility (ATR), wick/body detection, and classical candlestick pattern recognition (Engulfing, Pin Bar, Doji, Marubozu) – all in a single tool.
Key Features:
EMA200 HUD – Displays price deviation from EMA200 with directional arrows (▲ / ▼) and percentage values.
Wick Alerts – Alerts for significant wicks:
WICK ALERT: ↓🐂 3.5% (long lower wick – bullish signal).
WICK ALERT: ↑🐻 4.2% (long upper wick – bearish signal).
Big Body Alerts – Detects strong candle bodies exceeding a customizable threshold.
BIG BODY ALERT: ↑ 5.8%
BIG BODY ALERT: ↓ 4.7%
Candlestick Patterns – Automatic alerts for:
Engulfing (🟢🐂 or 🔴🐻).
Pin Bar (🟢🔨 Hammer, 🔴☄️ Shooting Star).
Doji (⚪ Doji 🟢↑ / 🔴↓).
Marubozu (📏 Marubozu 🟢↑ / 🔴↓).
On-Chart HUD – Shows ATR, price vs EMA200, wick size, and full body % in a compact table.
Why use CandleSensei?
Perfect for swing traders (Daily/Weekly analysis) and intraday traders (1H).
Combines trend direction, volatility, and price action patterns in a single dashboard.
Fully customizable thresholds for wick and body alerts.
EMA Trend ScreenerEMA Trend Screener" instantly shows whether 40+ crypto pairs are bullish (green) or bearish (red) based on their position relative to a customizable EMA. The compact table display saves time by eliminating chart switching, while adjustable settings adapt to any trading style. Perfect for quick market analysis, it helps spot trading opportunities at a glance
📊 Visual MTF VMA Dashboard🔄️📊 Visual MTF VMA Dashboard🔄️
This powerful multi-timeframe indicator provides a clean, emoji-enhanced dashboard that helps you quickly identify the Variable Moving Average (VMA) trend direction across multiple key timeframes — all in real-time.
🔍 What It Does:
The Visual MTF VMA Dashboard calculates the LazyBear-style VMA on the following timeframes:
📆 Daily
🕰 195 Minutes
🕒 65 Minutes
⏳ 39 Minutes
⏱ 15 Minutes
Each cell in the table shows the current trend:
📈 BULLISH – VMA rising
📉 BEARISH – VMA falling
⚪ NEUTRAL – No change
🎨 Visual Boost:
This feature can be toggled on/off for cleaner visuals.
📌 Customization:
Adjustable VMA Length
Selectable table position: Top Left, Top Right, Bottom Left, Bottom Right
✅ Ideal For:
Multi-timeframe traders
Trend confirmation
Quick-glance analysis without cluttering your chart
Use this dashboard as a high-level trend confirmation tool — designed for simplicity, speed, and visual clarity.
Triple Momentum Core v1🧠 Technical Structure:
Triple Momentum Core analyzes the underlying wave of price movement through a three-stage system:
1. 🔵 Follow Line – The First Spark of Momentum:
Constructed using Bollinger Bands and ATR, this line detects the very first signs of directional price expansion. It gently whispers when the market begins stretching with force in one direction.
2. 🟢 SuperTrend – Confirmation and Directional Validation:
After the initial move, SuperTrend acts as the second checkpoint — validating whether the price action is evolving into a genuine trend or fading out. It confirms whether the impulse has the strength to sustain.
3. 🔴 PMax – Core Trend & Structural Anchor:
Based on Moving Average and ATR logic, PMax tracks the heartbeat of the trend. It serves as a dynamic structural boundary — critical for identifying trend continuation and managing risk.
4. 🟡 PMax MA Line – Smooth Trend Pulse & Adaptive Guide:
This yellow moving average line within the PMax system softly follows the overall trend flow, without reacting to sharp price noise. It acts as a balanced, stable guide to gauge the solidity of the trend’s body structure.
(If you prefer a cleaner view without any moving average lines, you can disable it from the settings.)
🧠 Technical Structure:
Triple Momentum Core analyzes the underlying wave of price movement through a three-stage system:
1. 🔵 Follow Line – The First Spark of Momentum:
Constructed using Bollinger Bands and ATR, this line detects the very first signs of directional price expansion. It gently whispers when the market begins stretching with force in one direction.
2. 🟢 SuperTrend – Confirmation and Directional Validation:
After the initial move, SuperTrend acts as the second checkpoint — validating whether the price action is evolving into a genuine trend or fading out. It confirms whether the impulse has the strength to sustain.
3. 🔴 PMax – Core Trend & Structural Anchor:
Based on Moving Average and ATR logic, PMax tracks the heartbeat of the trend. It serves as a dynamic structural boundary — critical for identifying trend continuation and managing risk.
4. 🟡 PMax MA Line – Smooth Trend Pulse & Adaptive Guide:
This yellow moving average line within the PMax system softly follows the overall trend flow, without reacting to sharp price noise. It acts as a balanced, stable guide to gauge the solidity of the trend’s body structure.
(If you prefer a cleaner view without any moving average lines, you can disable it from the settings.)
💡 Why “Triple Momentum Core”?
Because this indicator doesn’t just detect movement — it breaks it down into its essential phases:
Ignition, validation, and confirmation.
Each layer captures a unique and essential part of price behavior:
The first reaction (Follow Line) ignites the initial spark.
The second reaction (SuperTrend) confirms whether that spark will become a real trend.
The third and final layer (PMax) structurally anchors and follows that trend.
That’s why we call it Triple Momentum Core:
A synchronized 3-engine momentum system working in harmony to capture the lifecycle of a trend — from spark to structure.
S&R Zones MTF (TechnoBlooms)S&R Zones MTF – Multi-Timeframe Support & Resistance Boxes
🔍 Overview
S&R Zones MTF is a professional-grade yet beginner-friendly indicator that dynamically plots Support & Resistance zones across multiple timeframes, helping traders recognize high-probability reversal areas, entry confirmations, and price reaction points.
This tool visualizes structured zones as colored boxes, allowing both new and experienced traders to analyze multi-timeframe confluence with ease and clarity.
🧠 What Is This Indicator?
S&R Zones MTF automatically detects the most significant support and resistance levels from up to four custom timeframes, using a configurable lookback period. These zones are displayed as colored horizontal boxes directly on the chart, making it easy to:
Spot where price has historically reacted
Identify potential reversal or breakout zones
Confirm entries with institutional-style precision
🛠️ Key Features
✅ Multi-Timeframe Zone Detection (up to 4 timeframes)
📦 Auto Plotted Boxes for Support (Blue) & Resistance (Pink)
🧱 Dynamic Height based on average price range or fixed input
🏷️ Timeframe Labels to instantly identify zone origin
🎛️ Customizable inputs: Lookback length, box color, height style
🔁 Real-time updates as price structure changes
🎓 Educational & Easy to Use
Whether you’re a new trader learning about price structure, or a professional applying institutional concepts, this tool offers an educational layout to understand:
How price respects historic zones
Why multi-timeframe zones offer stronger confluence
How to use zones for entry, exit, or risk placement
📈 How to Use (Multi-Timeframe Strategy)
Select Your Timeframes – Customize up to 4 higher timeframes (e.g., 1m, 5m, 15m, 1h).
Observe Overlapping Zones – When multiple timeframes agree, those zones are more significant.
Entry Confirmation – Wait for price to reach a zone, then look for reversal patterns (engulfing candle, pin bar, etc.)
Combine with Other Tools – Use alongside indicators like RSI, MACD, or Order Blocks for added confidence.
💡 Pro Tips
Zones from higher timeframes (1H, 4H) are often more powerful and reliable.
Confluence matters: If a 15m support zone aligns with a 1H support zone — that's a high-probability reaction area.
Use break-and-retest strategies with zone rejections for sniper entries.
Enable "Auto Height" for a more adaptive, volatility-based zone display.
🌟 Summary
S&R Zones MTF blends precision, clarity, and professional analysis into a visual structure that’s easy to understand. Whether you're learning support & resistance or optimizing your MTF edge — this tool will bring clarity to your charts and confidence to your trades.
Trend Buy/Sell Fibonacci Range - KLTThe Trend Buy/Sell Fibonacci Range – KLT indicator identifies bullish and bearish trends based on where the closing price is located within a Fibonacci range calculated from the last N candles (default is 10). Instead of analyzing individual candles, this tool takes a broader view of price action using Fibonacci retracement levels across a dynamic multi-candle range.
How It Works:
Range Calculation
The indicator calculates the highest high and lowest low over the last N candles to define the active price range (default: 10 bars).
Fibonacci Levels
Within this range, Fibonacci levels (0.236, 0.382, 0.5, 0.618, 0.786) are dynamically computed. These levels act as internal thresholds to evaluate bullish or bearish pressure.
Trend Identification (via Close Position):
If the closing price is above the 0.618 level, it indicates strong buy pressure → the candle turns green and an upward triangle appears.
If the closing price is below the 0.382 level, it suggests strong sell pressure → the candle turns red and a downward triangle is displayed.
If the close lies between 0.382 and 0.618, the market is considered neutral, and the candle is gray.
Visual Elements:
Colored candles to immediately spot trend conditions.
Triangle signals (optional) for clear Buy/Sell markers.
Fibonacci level lines plotted on the chart for full context (can be toggled on/off).
Customization Options:
Lookback period (number of candles to calculate the range)
Fibonacci threshold levels (upper/lower)
Show/hide arrows and Fibonacci lines
Why Use This Indicator?
This tool is perfect for traders who want a simple visual method to assess trend strength based on price structure, not indicators derived from lagging moving averages. It offers:
Cleaner market structure analysis
Objective trend zones
Customizable sensitivity
Recommended Use:
Works well in conjunction with support/resistance zones, volume, or momentum indicators.
Applicable to any asset class or timeframe.
Credits:
Developed by KLT, combining structure-based logic with Fibonacci precision.
Custom Screener with Alerts @RAMLAKSHMANDASScan the Nifty 50 directly on TradingView!
This script provides a real-time screener for the top 40 Nifty 50 stocks ranked by current index weightage (starting from RELIANCE, HDFCBANK, ICICIBANK, etc.), offering rapid on-chart multi-symbol analysis.
Features
Multi-symbol screener: Monitors the leading 40 Nifty constituents (NSE equities) in one view.
Full indicator table: Get snapshot values for Price, RSI, TSI, ADX, and SuperTrend for every symbol.
Dynamic filtering: Instantly filter results by any indicator value (e.g., highlight all stocks with RSI below 30).
Customizable symbols: Easily edit the symbol list to match updated Nifty composition or your stocks of interest.
Multi-timeframe support: Table values will update for any chosen chart timeframe.
Real-time alerts: Set up alerts for filtered stocks matching your strategy.
High Win Rate Trader by iambuoyant# High Win Rate Trader by iambuoyant - Complete Guide
## Introduction
The "High Win Rate Trader by iambuoyant" is a comprehensive Pine Script indicator designed to identify high-probability trading opportunities across various market conditions. Built with a multi-faceted approach, it integrates several key technical analysis concepts to provide robust buy and sell signals, aiming to maximize potential returns while managing risk. This indicator is particularly useful for traders looking for confirmed entries based on a confluence of factors rather than relying on a single signal.
## Core Philosophy
This indicator operates on the principle that **multiple confirming factors create higher probability trades**. Instead of relying on a single indicator, it combines trend analysis, momentum oscillators, volume confirmation, market structure, and mathematical levels to identify optimal entry points. The more confluence factors that align, the stronger the trading signal.
## Strategies and Confluence Factors
### 1. Trend Analysis
**Purpose**: Establishes the overall market direction to ensure trades align with momentum.
**Components**:
- **Fast EMA (Default: 9)**: Short-term trend detection
- **Slow EMA (Default: 21)**: Medium-term trend confirmation
- **Trend EMA (Default: 50)**: Long-term trend establishment
**How it works**:
- **Bullish Trend**: Fast EMA > Slow EMA > Trend EMA
- **Bearish Trend**: Fast EMA < Slow EMA < Trend EMA
- Signals are filtered to only trigger in the direction of the established trend
**Default Settings**:
- Fast EMA Period: 9
- Slow EMA Period: 21
- Trend EMA Period: 50
### 2. Oscillator Confirmation
**Purpose**: Identifies overbought/oversold conditions and momentum shifts.
#### RSI (Relative Strength Index)
- **Period (Default: 14)**: Standard RSI calculation period
- **Overbought Level (Default: 70)**: RSI level considered overbought
- **Oversold Level (Default: 30)**: RSI level considered oversold
**How it works**:
- **Bullish**: RSI < 40 and turning upward (oversold recovery)
- **Bearish**: RSI > 60 and turning downward (overbought rejection)
#### Stochastic Oscillator
- **K Period (Default: 14)**: Stochastic %K calculation period
- **D Period (Default: 3)**: Stochastic %D smoothing period
- **Overbought Level (Default: 80)**: Stochastic overbought threshold
- **Oversold Level (Default: 20)**: Stochastic oversold threshold
**How it works**:
- **Bullish**: %K < 30 and (%K turning up OR %K > %D)
- **Bearish**: %K > 70 and (%K turning down OR %K < %D)
### 3. MACD (Moving Average Convergence Divergence)
**Purpose**: Confirms momentum shifts and trend changes.
**Components**:
- **Fast Period (Default: 12)**: Fast EMA for MACD calculation
- **Slow Period (Default: 26)**: Slow EMA for MACD calculation
- **Signal Period (Default: 9)**: Signal line smoothing period
**How it works**:
- **Bullish**: MACD line > Signal line OR (MACD rising AND histogram increasing)
- **Bearish**: MACD line < Signal line OR (MACD falling AND histogram decreasing)
### 4. Volume Analysis
**Purpose**: Confirms price moves with volume conviction.
**Components**:
- **Volume MA Period (Default: 20)**: Period for volume moving average
- **Volume Multiplier (Default: 1.5)**: Volume threshold multiplier
**How it works**:
- **Bullish**: Current volume > (Volume MA × 1.5)
- **Bearish**: Current volume > (Volume MA × 1.5)
### 5. Market Structure and Volatility
#### Support and Resistance Levels
- **Pivot Length (Default: 10)**: Period for pivot high/low detection
- **Dynamic Levels**: Automatically identifies recent swing highs and lows
- **Proximity Check**: Ensures trades aren't initiated too close to S/R levels
#### ATR (Average True Range)
- **ATR Period (Default: 14)**: Volatility measurement period
- **ATR Multiplier (Default: 2.0)**: Stop loss distance multiplier
- **Volatility Filter (Default: 50.0%)**: Maximum allowed volatility percentage
**How it works**:
- Calculates market volatility using ATR
- Prevents trades in excessively volatile conditions
- Helps determine dynamic stop loss levels
### 6. Fibonacci Retracements
**Purpose**: Identifies key mathematical support/resistance levels.
**Components**:
- **Lookback Period (Default: 50)**: Period for swing high/low calculation
- **Tolerance (Default: 2.0%)**: Price proximity tolerance to Fib levels
**Key Levels**: 23.6%, 38.2%, 50%, 61.8%, 78.6%
**How it works**:
- **Bullish**: Price near 38.2%, 50%, or 61.8% retracement levels in uptrend
- **Bearish**: Price near 38.2%, 50%, or 61.8% retracement levels in downtrend
### 7. Risk Management
#### Risk:Reward Ratio
- **Minimum RR Ratio (Default: 1.0)**: Minimum acceptable risk:reward ratio
- **Dynamic Calculation**: Based on support/resistance levels and ATR
#### Dynamic Stop Loss
- **ATR-based**: Stop loss = Entry ± (ATR × 1.5)
- **S/R-based**: Uses nearby support/resistance levels when available
### 8. Signal Confirmation
**Confirmation Bars (Default: 0)**:
- **0**: Immediate signals (recommended for testing)
- **1+**: Delayed confirmation for reduced false signals
## How to Use the Indicator
### Step 1: Initial Setup
1. **Add to Chart**: Apply the "High Win Rate Trader by iambuoyant" indicator to your desired chart in TradingView
2. **Verify Display**: Ensure you can see the indicator plots and debug pane below the main chart
### Step 2: Understanding the Signals
#### Visual Elements:
- **Green Triangles (Buy)**: Appear below price bars for long entry signals
- **Red Triangles (Sell)**: Appear above price bars for short entry signals
- **Labels**: Show "BUY" or "SELL" with current RSI value
- **EMA Lines**: Blue (Fast), Orange (Slow), Gray (Trend) - visible when enabled
#### Signal Types:
- **Flash Signals**: Immediate signals when conditions are first met
- **Confirmed Signals**: Signals that have passed confirmation criteria
### Step 3: Debugging and Optimization
#### Access Debug Features:
1. Click the gear icon next to the indicator name
2. Navigate to "Signal Components (Debugging)" section
3. All confluence factors start **disabled** by default
#### Initial Testing Process:
1. **Start Simple**: Keep all "Enable X Condition" toggles **OFF**
2. **Enable Basic**: Turn on "Enable RSI Condition" first
3. **Observe Signals**: Check if buy/sell signals appear
4. **Gradual Addition**: Enable one condition at a time
5. **Monitor Debug Plots**: Watch the colored crosses in the lower pane
#### Debug Plot Interpretation:
- **Green Crosses (Value 1)**: Bullish conditions met
- **Red Crosses (Value 2)**: Bearish conditions met
- **No Cross**: Condition not met
- **"Debug: Final Long/Short Signal"**: Combined signal output
### Step 4: Fine-tuning Parameters
#### If Signals Are Too Rare:
1. **Reduce Thresholds**: Lower RSI overbought/oversold levels
2. **Relax Filters**: Increase volatility filter percentage
3. **Adjust Timeframes**: Modify EMA periods for your trading style
4. **Disable Strict Conditions**: Turn off conditions that are too restrictive
#### If Signals Are Too Frequent:
1. **Increase Thresholds**: Raise RSI levels
2. **Add Filters**: Enable more confluence conditions
3. **Stricter Confirmation**: Increase confirmation bars
4. **Higher RR Ratio**: Increase minimum risk:reward requirement
### Step 5: Display Configuration
#### Display Options:
- **Show Buy/Sell Labels**: Toggle signal labels on/off
- **Show Support/Resistance**: Toggle S/R level lines
- **Show Trend EMAs**: Toggle EMA trend lines
### Step 6: Setting Up Alerts
#### Alert Conditions:
- **"Confirmed Buy Signal"**: Triggers on confirmed long entries
- **"Confirmed Sell Signal"**: Triggers on confirmed short entries
#### Alert Message Format:
- Buy: "BUY - RSI: , Price: "
- Sell: "SELL - RSI: , Price: "
## Recommended Settings by Market Type
### Trending Markets:
- Enable: Trend Alignment, RSI, MACD
- Disable: Volume (optional)
- Confirmation Bars: 1-2
### Ranging Markets:
- Enable: RSI, Stochastic, Support/Resistance
- Disable: Trend Alignment
- Confirmation Bars: 0
### Volatile Markets:
- Enable: Volatility Filter, ATR-based stops
- Reduce: RSI thresholds (60/40 instead of 70/30)
- Increase: Confirmation bars to 2-3
## Troubleshooting
### No Signals Appearing:
1. Check if any "Enable X Condition" is turned ON
2. Verify debug plots show activity
3. Reduce parameter thresholds
4. Check if market conditions match your settings
### Too Many False Signals:
1. Enable more confluence conditions
2. Increase confirmation bars
3. Adjust RSI/Stochastic thresholds
4. Enable volatility filter
### Signals Not Aligning with Price Action:
1. Check trend alignment settings
2. Verify EMA periods match your timeframe
3. Adjust Fibonacci lookback period
4. Review support/resistance proximity settings
## Best Practices
1. **Start Conservative**: Begin with fewer confluence factors and gradually add more
2. **Test Thoroughly**: Use demo accounts to test parameter combinations
3. **Monitor Debug Plots**: Regularly check which conditions are failing
4. **Adapt to Market**: Adjust settings based on current market conditions
5. **Use Multiple Timeframes**: Consider higher timeframe trend direction
6. **Risk Management**: Always use proper position sizing and stop losses
## Default Settings Summary
### Trend Analysis:
- Fast EMA: 9
- Slow EMA: 21
- Trend EMA: 50
### Oscillators:
- RSI Period: 14, Overbought: 70, Oversold: 30
- Stochastic K: 14, D: 3, Overbought: 80, Oversold: 20
### MACD:
- Fast: 12, Slow: 26, Signal: 9
### Volume:
- MA Period: 20, Multiplier: 1.5
### Market Structure:
- ATR Period: 14, Multiplier: 2.0
- Volatility Filter: 50.0%
- Pivot Length: 10
### Fibonacci:
- Lookback: 50, Tolerance: 2.0%
### Signal Quality:
- Confirmation Bars: 0
- Min RR Ratio: 1.0
### Display:
- Show Labels: ON
- Show S/R: ON
- Show Trend: ON
### Debug (All Disabled by Default):
- Enable RSI: OFF
- Enable Stochastic: OFF
- Enable MACD: OFF
- Enable Price Structure: OFF
- Enable Trend Alignment: OFF
- Enable Volume: OFF
- Enable Fibonacci: OFF
- Enable Risk:Reward: OFF
- Enable Volatility: OFF
MVRV Altcoins📌 Technical Description of Indicator: MVRV Altcoins
This advanced script calculates the Market Value to Realized Value (MVRV) ratio across multiple cryptocurrencies simultaneously. It offers two analytical modes: Normal and Z-Score, optimized for visual comparison and real-time monitoring of up to 13 predefined assets. If a user applies the indicator to a symbol that is not among the 13 programmed assets, the default behavior displays the Bitcoin chart as a fallback reference.
🔍 What Is MVRV and Why Is It Important?
MVRV is an on-chain metric designed to assess whether a cryptocurrency is overvalued or undervalued by comparing its market capitalization to its realized capitalization.
- Market Cap: The total circulating supply multiplied by the current market price.
- Realized Cap: The sum value of all coins based on the price at the time they last moved on-chain, offering a time-weighted valuation.
Normal Calculation:
MVRV_Normal = Market Cap / Realized Cap
This version reflects investor profitability and identifies potential accumulation or distribution zones.
📊 Z-Score Calculation:
MVRV_ZScore = (Market Cap − Realized Cap) / Standard Deviation of Market Cap
This formula evaluates how extreme the current market conditions are compared to historical norms. It normalizes the difference using statistical dispersion, turning it into a volatility-aware metric that better reflects valuation extremes.
🔎 How Market Cap Is Computed
Unlike conventional indicators relying on consolidated feeds, this script uses modular components from CoinMetrics to construct the active capitalization more accurately, especially for altcoins. Here's the breakdown:
Active Capitalization = MARKETCAPFF + MARKETCAPACTSPLY
Realized Capitalization = MARKETCAPREAL
Component Definitions:
- MARKETCAPFF: Market Cap Free Float — total valuation based only on truly circulating coins.
- MARKETCAPACTSPLY: Capitalization from actively circulating supply — filters dormant or locked coins.
- MARKETCAPREAL: Realized Cap — historical valuation weighted by the last on-chain movement of each coin.
This method offers enhanced precision and compatibility across assets that may lack comprehensive data from centralized providers.
⚙️ User-Configurable Parameters
- MVRV Mode: Choose between Normal and Z-Score.
- Percentage Scale View: If enabled, visual output is scaled using predefined divisors (100 / 3.5 or 100 / 6).
- Thresholds for Analysis:
- Normal mode: Define overbought and oversold levels (default 1.0 and 3.5).
- Z-Score mode: Configure statistical boundaries (default 0.0 and 6.0).
- Table Controls:
- Adjustable position on screen (9 options).
- Font size customization: tiny, small, normal, large.
- Color scheme personalization:
- Header: text and background
- Body: text and background
- Central column separator color
📊 Multicrypto Table Architecture
The indicator renders a high-performance visual table displaying data from up to 13 assets simultaneously. Each asset is represented as a vertical column featuring eigth historical data points plus the most recent value.
- Assets are displayed in two blocks separated by a decorative column.
- Each value is rounded to one decimal place for clarity.
- Cells are styled dynamically based on user settings.
🎨 Decorative Column Separator
Since the entire table is built as a unified structure, a color-configurable empty column is inserted mid-table to act as a visual divider. This approach improves readability and aesthetic balance without duplicating code or splitting table logic.
🔁 Default Behavior on Unsupported Assets
If the active chart is not one of the 13 predefined assets, the indicator will automatically display Bitcoin’s data. This ensures the chart remains functional and informative even outside the target asset group.
🎯 Color Interpretation by Condition
The MVRV value for each asset is highlighted using a traffic light system:
- Green: Undervalued (below oversold threshold)
- Red: Overvalued (above overbought threshold)
- Yellow: Neutral zone
This coding simplifies decision-making and visual scanning across assets.
Final Notes
This indicator is modular and fully adaptable, with well-commented sections designed for efficient customization. Its multiactive architecture makes it a valuable tool for crypto analysts tracking diversified portfolios beyond Bitcoin and Ethereum.
It supports visual storytelling across assets, comparative historical evaluation, and identification of strategic zones — whether for accumulation, distribution, or monitoring on-chain sentiment.
Days Since ±1% Move on CloseInterpretation & Use‑Case
The “Days Since ±1% Move” indicator simply tells you how many trading days have passed since the last daily close that moved at least 1% in either direction. Here’s how to put it to work:
Complacency Gauge
A long stretch without a ≥1% move often signals that realized volatility has collapsed and market participants may be under‑positioned for a sudden swing.
Positioning Insight
When institutional hedges and systematic strategies see low recent volatility, they tend to scale back protection (fewer options hedges, tighter risk limits), which can amplify the impact of any eventual volatility pickup.
Mean‑Reversion Signal
After an extended streak (e.g. 20–30 days), a fresh ≥1% move is more likely—and often more violent—because pent‑up positioning flows rush to adjust.
Trend Confirmation
Conversely, a reset in the count (i.e., a new ≥1% move) that coincides with strong volume and follow‑through suggests genuine directional conviction rather than just a volatility “blip.”
MR.Z Strategy Reversal Signal Nadaraya SMA)Nadaraya-Watson Envelope (NW Envelope):
A smoothed, non-linear dynamic envelope that adapts to price structure. It visually identifies price extremes using kernel regression. The upper and lower bands move with the chart and provide reliable dynamic support and resistance.
EMA Levels:
Includes three key exponential moving averages:
EMA 50 (short-term trend)
EMA 100 (medium-term)
EMA 200 (long-term, institutional level)
Fully Scrollable and Responsive:
All lines and envelopes are plotted using plot() so they move with the chart and respond to zoom and pan actions naturally.
🧠 Ideal Use:
Identify reversal zones, dynamic support/resistance, and trend momentum exhaustion.
Combine WTB and NW Envelope for confluence-based entries.
Use EMA structure for trend confirmation or breakout anticipation.
Let me know if you'd like to add:
Divergence detection
Buy/Sell signals
Alerts or signal filtering options
I’ll be happy to extend the description or the script accordingly!
PRO Investing - Apex EnginePRO Investing - Apex Engine
1. Core Concept: Why Does This Indicator Exist?
Traditional momentum oscillators like RSI or Stochastic use a fixed "lookback period" (e.g., 14). This creates a fundamental problem: a 14-period setting that works well in a fast, trending market will generate constant false signals in a slow, choppy market, and vice-versa. The market's character is dynamic, but most tools are static.
The Apex Engine was built to solve this problem. Its primary innovation is a self-optimizing core that continuously adapts to changing market conditions. Instead of relying on one fixed setting, it actively tests three different momentum profiles (Fast, Mid, and Slow) in real-time and selects the one that is most synchronized with the current price action.
This is not just a random combination of indicators; it's a deliberate synthesis designed to create a more robust momentum tool. It combines:
Volatility analysis (ATR) to generate adaptive lookback periods.
Momentum measurement (ROC) to gauge the speed of price changes.
Statistical analysis (Correlation) to validate which momentum measurement is most effective right now.
Classic trend filters (Moving Average, ADX) to ensure signals are only taken in favorable market conditions.
The result is an oscillator that aims to be more responsive in volatile trends and more stable in quiet periods, providing a more intelligent and adaptive signal.
2. How It Works: The Engine's Three-Stage Process
To be transparent, it's important to understand the step-by-step logic the indicator follows on every bar. It's a process of Adapt -> Validate -> Signal.
Stage 1: Adapt (Dynamic Length Calculation)
The engine first measures market volatility using the Average True Range (ATR) relative to its own long-term average. This creates a volatility_factor. In high-volatility environments, this factor causes the base calculation lengths to shorten. In low-volatility, they lengthen. This produces three potential Rate of Change (ROC) lengths: dynamic_fast_len, dynamic_mid_len, and dynamic_slow_len.
Stage 2: Validate (Self-Optimizing Mode Selection)
This is the core of the engine. It calculates the ROC for all three dynamic lengths. To determine which is best, it uses the ta.correlation() function to measure how well each ROC's movement has correlated with the actual bar-to-bar price changes over the "Optimization Lookback" period. The ROC length with the highest correlation score is chosen as the most effective profile for the current moment. This "active" mode is reflected in the oscillator's color and the dashboard.
Stage 3: Signal (Normalized Velocity Oscillator)
The winning ROC series is then normalized into a consistent oscillator (the Velocity line) that ranges from -100 (extreme oversold) to +100 (extreme overbought). This ensures signals are comparable across any asset or timeframe. Signals are only generated when this Velocity line crosses its signal line and the trend filters (explained below) give a green light.
3. How to Use the Indicator: A Practical Guide
Reading the Visuals:
Velocity Line (Blue/Yellow/Pink): The main oscillator line. Its color indicates which mode is active (Fast, Mid, or Slow).
Signal Line (White): A moving average of the Velocity line. Crossovers generate potential signals.
Buy/Sell Triangles (▲ / ▼): These are your primary entry signals. They are intentionally strict and only appear when momentum, trend, and price action align.
Background Color (Green/Red/Gray): This is your trend context.
Green: Bullish trend confirmed (e.g., price above a rising 200 EMA and ADX > 20). Only Buy signals (▲) can appear.
Red: Bearish trend confirmed. Only Sell signals (▼) can appear.
Gray: No clear trend. The market is likely choppy or consolidating. No signals will appear; it is best to stay out.
Trading Strategy Example:
Wait for a colored background. A green or red background indicates the market is in a tradable trend.
Look for a signal. For a green background, wait for a lime Buy triangle (▲) to appear.
Confirm the trade. Before entering, confirm the signal aligns with your own analysis (e.g., support/resistance levels, chart patterns).
Manage the trade. Set a stop-loss according to your risk management rules. An exit can be considered on a fixed target, a trailing stop, or when an opposing signal appears.
4. Settings and Customization
This script is open-source, and its settings are transparent. You are encouraged to understand them.
Synaptic Engine Group:
Volatility Period: The master control for the adaptive engine. Higher values are slower and more stable.
Optimization Lookback: How many bars to use for the correlation check.
Switch Sensitivity: A buffer to prevent frantic switching between modes.
Advanced Configuration & Filters Group:
Price Source: The data source for momentum calculation (default close).
Trend Filter MA Type & Length: Define your long-term trend.
Filter by MA Slope: A key feature. If ON, allows for "buy the dip" entries below a rising MA. If OFF, it's stricter, requiring price to be above the MA.
ADX Length & Threshold: Filters out non-trending, choppy markets. Signals will not fire if the ADX is below this threshold.
5. Important Disclaimer
This indicator is a decision-support tool for discretionary traders, not an automated trading system or financial advice. Past performance is not indicative of future results. All trading involves substantial risk. You should always use proper risk management, including setting stop-losses, and never risk more than you are prepared to lose. The signals generated by this script should be used as one component of a broader trading plan.
The Visualized Trader (Fractal Timeframe)The **The Visualized Trader (Fractal Timeframe)** indicator for TradingView is a tool designed to help traders identify strong bullish or bearish trends by analyzing multiple technical indicators across two timeframes: the current chart timeframe and a user-selected higher timeframe. It visually displays trend alignment through arrows on the chart and a condition table in the top-right corner, making it easy to see when conditions align for potential trade opportunities.
### Key Features
1. **Multi-Indicator Analysis**: Combines five technical conditions to confirm trend direction:
- **Trend**: Based on the slope of the 50-period Simple Moving Average (SMA). Upward slope indicates bullish, downward indicates bearish.
- **Stochastic (Stoch)**: Uses Stochastic Oscillator (5, 3, 2) to measure momentum. Rising values suggest bullish momentum, falling values suggest bearish.
- **Momentum (Mom)**: Derived from the MACD fast line (5, 20, 30). Rising MACD line indicates bullish momentum, falling indicates bearish.
- **Dad**: Uses the MACD signal line. Rising signal line is bullish, falling is bearish.
- **Price Change (PC)**: Compares the current close to the previous close. Higher close is bullish, lower is bearish.
2. **Dual Timeframe Comparison**:
- Calculates the same five conditions on both the current timeframe and a user-selected higher timeframe (e.g., daily).
- Helps traders see if the trend on the higher timeframe aligns with the current chart, providing context for stronger trade decisions.
3. **Visual Signals**:
- **Arrows on Chart**:
- **Current Timeframe**: Blue upward arrows below bars for bullish alignment, red downward arrows above bars for bearish alignment.
- **Higher Timeframe**: Green upward triangles below bars for bullish alignment, orange downward triangles above bars for bearish alignment.
- Arrows appear only when all five conditions align (all bullish or all bearish), indicating strong trend potential.
4. **Condition Table**:
- Displays a table in the top-right corner with two rows:
- **Top Row**: Current timeframe conditions (Trend, Stoch, Mom, Dad, PC).
- **Bottom Row**: Higher timeframe conditions (labeled with "HTF").
- Each cell is color-coded: green for bullish, red for bearish.
- The table can be toggled on/off via input settings.
5. **User Input**:
- **Show Condition Boxes**: Toggle the table display (default: on).
- **Comparison Timeframe**: Choose the higher timeframe (e.g., "D" for daily, default setting).
### How It Works
- The indicator evaluates the five conditions on both timeframes.
- When all conditions are bullish (or bearish) on a given timeframe, it plots an arrow/triangle to signal a strong trend.
- The condition table provides a quick visual summary, allowing traders to compare the current and higher timeframe trends at a glance.
### Use Case
- **Purpose**: Helps traders confirm strong trend entries by ensuring multiple indicators align across two timeframes.
- **Example**: If you're trading on a 1-hour chart and see blue arrows with all green cells in the current timeframe row, plus green cells in the higher timeframe (e.g., daily) row, it suggests a strong bullish trend supported by both timeframes.
- **Benefit**: Reduces noise by focusing on aligned signals, helping traders avoid weak or conflicting setups.
### Settings
- Access the indicator settings in TradingView to:
- Enable/disable the condition table.
- Select a higher timeframe (e.g., 4H, D, W) for comparison.
### Notes
- Best used in trending markets; may produce fewer signals in choppy conditions.
- Combine with other analysis (e.g., support/resistance) for better decision-making.
- The higher timeframe signals (triangles) provide context, so prioritize trades where both timeframes align.
This indicator simplifies complex trend analysis into clear visual cues, making it ideal for traders seeking confirmation of strong momentum moves.
Order Block + Liquidity Sniper by TradingNexus🧠 Order Block + Liquidity Sniper by TradingNexus
📌 How the Indicator Works – Explanation of Visual Elements
🔺 Triangles – Liquidity Sniper Signals
Green triangle below candle (▲): This is a Bullish Liquidity Sniper Signal. It indicates that price swept liquidity below a Swing Low, triggering stop-losses, and then returned back above a bullish Order Block zone. This suggests potential institutional buying interest and could mark a strong buy opportunity.
Red triangle above candle (▼): This is a Bearish Liquidity Sniper Signal. It shows that price swept above a Swing High to collect liquidity and then returned below a bearish Order Block zone. This implies possible institutional selling after a liquidity hunt and may signal a short entry.
🟢 Circles – Order Block Zones
Green circle (●): Represents a Bullish Order Block area – typically the last bearish candle before a strong bullish move. Price returning to this zone may react due to renewed institutional buying.
Red circle (●): Marks a Bearish Order Block – the last bullish candle before a strong bearish move. These zones may act as resistance when price revisits.
✖️ Crosses – Liquidity Zones
Purple cross (+): Identifies a Swing High liquidity level – a short-term high where many stop-loss orders are likely clustered.
Orange cross (+): Marks a Swing Low liquidity zone – a key area where stop orders from long positions may reside.
This indicator seeks precise institutional-style entries by detecting when price:
Sweeps liquidity at a recent swing high or low;
Then reacts from a valid Order Block zone.
The triangle markers highlight potential Sniper entries, while circles and crosses help visualize the key zones that underpin these moves.
Use this tool to improve timing, context, and confidence in your trades – especially when combining with SMC or price action frameworks.
Built by TradingNexus – designed for price action traders who use Smart Money Concepts (SMC).
