Theme TrackerTheme Tracker is a clean, at-a-glance theme rotation dashboard built to help you quickly identify where money is flowing—and where it’s leaving—across the market’s most important macro, sector, and industry themes.
Instead of bouncing between dozens of charts, Theme Tracker tracks a curated basket of 40 major theme ETFs and displays their relative performance across multiple timeframes, so you can instantly spot leadership, momentum shifts, and early rotation.
What it shows
For each theme ETF, the table displays performance over:
1 Day
1 Week
1 Month
3 Months
Year to Date (YTD)
Themes are ranked automatically by the timeframe you choose, allowing you to focus on what matters most in the current market regime—short-term momentum, intermediate rotation, or longer-term trend leadership.
Why it’s useful
Market leaders change. Rotation happens quietly at first, then suddenly.
Theme Tracker helps you:
Find the strongest themes fast (the “winners” attracting capital)
Spot weakening themes early (distribution and risk-off rotation)
Confirm market tone by comparing offensive vs defensive leadership
Generate trade ideas by focusing on the themes that are already being bid up
Avoid laggards by seeing what’s consistently underperforming across timeframes
When a theme is strong across multiple timeframes, that’s often where momentum traders and institutions are concentrating exposure. When it’s weak across timeframes, that’s often where capital is exiting.
How to use it
1) Choose your sort timeframe
Use the Sort setting (1D / 1W / 1M / 3M / YTD) to rank themes based on your trading horizon.
2) Look for alignment
Strong across all columns = sustained leadership
Strong short-term, weak long-term = potential bounce / rotation attempt
Weak short-term, strong long-term = possible pullback in a leader
Weak across the board = consistent capital outflow
3) Pair with your chartwork
Use the strongest themes as a shortlist for deeper chart analysis, setups, and relative strength confirmation.
Visual design
The table uses clear formatting and heat-style shading to make it easy to read quickly. Green tones highlight strength; red tones highlight weakness—so you can interpret rotation in seconds without overthinking.
If you trade momentum, relative strength, or market structure, Theme Tracker gives you one of the simplest edges available: knowing what’s leading right now. Track the best-performing themes, identify emerging rotation, and stay aligned with the areas of the market where capital is actually moving.
Breadth Indicators
BuyLow SellHigh Bands | ProjectSyndicate________________________________________
📊 BuyLow SellHigh (BLSH) Bands
Comprehensive Trading Guide – by ProjectSyndicate
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🔰 1. Introduction
The BuyLow SellHigh (BLSH) Bands indicator is a powerful technical analysis tool designed for the TradingView platform. Works with any symbol. Gold/FX/indices/oil/crypto/stocks.
It provides traders with a clear, visual representation of:
• 📈 Overbought conditions
• 📉 Oversold conditions
This makes it easier to identify high-probability entry and exit points.
The indicator is built on:
• Dynamic price channels
• Fibonacci-based zones
• Color-coded market structure
💡 While the BLSH Bands can be used on Forex, Crypto, and Futures, this guide focuses on Gold (XAUUSD) using:
• M5
• M15
• M30 timeframes
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🧠 2. Core Concepts
The BLSH Bands structure is created using two key components:
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📐 Dynamic Price Bands
• Upper and lower bands are calculated using the highest high and lowest low
• Based on a user-defined lookback period (fiboPeriod)
• Reflects recent volatility and price range
This creates a self-adjusting channel that adapts to market conditions.
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🧮 Fibonacci Zones
The space between the bands is divided into six Fibonacci-based zones:
• 0.786
• 0.618
• 0.500
• 0.382
• 0.214
⚠️ These are not traditional retracements — they are used to grade price extremity within the channel.
________________________________________
🎨 Color-Coded Zones Overview
Zone (Fib Level) Color Market Condition Interpretation
1.000 – 0.786 🔴 Red Extreme Overbought High reversal / pullback probability
0.786 – 0.618 🟠 Orange Overbought Selling pressure building
0.618 – 0.500 🟡 Yellow Mildly Overbought Bullish momentum weakening
0.500 – 0.382 🟢 Aqua Mildly Oversold Bearish momentum weakening
0.382 – 0.214 🔵 Deep Sky Blue Oversold Strong buying interest
0.214 – 0.000 🔷 Blue Extreme Oversold High bounce / reversal probability
🖤 Solid black separator lines ensure clean visual separation between zones for precise price location.
________________________________________
🪙 3. Trading Strategies for XAUUSD (Gold)
Gold’s volatility and respect for technical levels make it ideal for BLSH Bands strategies.
________________________________________
⚡ M5 Timeframe – Scalping Strategy
Designed for fast mean-reversion trades from extreme zones.
🟢 BUY Setup
• Price enters Extreme Oversold (Blue) zone
• Bullish confirmation candle appears:
o Hammer
o Bullish engulfing
• Enter BUY
🔴 SELL Setup
• Price enters Extreme Overbought (Red) zone
• Bearish confirmation candle appears:
o Shooting star
o Bearish engulfing
• Enter SELL
🎯 Take Profit:
• Median band (between Yellow & Aqua)
🛑 Stop Loss:
• Just outside the outer band
________________________________________
📆 M15 Timeframe – Day Trading Strategy
Balanced timeframe for higher-probability reversals.
🟢 BUY Setup
• Price enters Oversold (Blue / Deep Sky Blue)
• Strong bullish reversal candle closes back inside bands
• Enter BUY after close
🔴 SELL Setup
• Price enters Overbought (Red / Orange)
• Bearish reversal candle closes back inside bands
• Enter SELL after close
🎯 Take Profit (Multi-Target):
1. Median band
2. Opposite extreme band
🛑 Stop Loss:
• Beyond high/low of confirmation candle
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🔄 M30 Timeframe – Swing Trading Strategy
Used for identifying major swing points.
🔍 Trend Filter
• Use 100 or 200 EMA
• Trade only in trend direction
🟢 Uptrend
• Buy pullbacks into Oversold zones
🔴 Downtrend
• Sell rallies into Overbought zones
📉 Confirmation:
• Band rejection
• RSI or MACD divergence
🎯 Take Profit:
• Previous structure levels
• Opposite band extreme
🛑 Stop Loss:
• Below / above recent swing high or low
________________________________________
🚨 4. Alerts System
Alerts are disabled by default to keep charts clean.
✅ How to Enable
• Open indicator settings
• Check “Enable Alerts”
________________________________________
🔔 Available Alerts
🔴 Overbought Alert
• Trigger: Price crosses above 0.786
• Message:
🔴 SELL SIGNAL: Price entered Overbought Zone – Consider selling or taking profits
🟢 Oversold Alert
• Trigger: Price crosses below 0.214
• Message:
🟢 BUY SIGNAL: Price entered Oversold Zone – Consider buying or entering long
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⏱ Alert Spacing Logic
• Default: 20/50 bars
• Prevents repeated alerts in choppy markets
• Filters for higher-quality signals
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⚙️ 5. Customization Settings
Adjust the indicator in the Settings panel:
🔧 Core Inputs
• fiboPeriod → Band sensitivity
• extremes → Price source (High/Low or Close)
🔔 Alert Controls
• Enable / disable alerts
• Separate control for overbought & oversold
• Alert spacing (bars)
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⭐ How You Can Support ProjectSyndicate (3 Steps)
1. ✅ Click “Add to Favorites” to save this script to your TradingView Favorites
2. 🔎 Check out our other scripts to complete your SMC toolkit
3. 👤 Follow ProjectSyndicate for the latest updates, upgrades, and new releases
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⚠️ 6. Disclaimer
Trading involves significant risk and may not be suitable for all traders.
This indicator is a decision-support tool, not a standalone trading system.
Always apply:
• Proper risk management
• Additional confirmations
• Sound trading discipline
📉 Past performance does not guarantee future results.
Neeson Crypto Cycle - Super Enhanced EditionThe "Neeson Crypto Cycle - Super Enhanced Edition": A Philosophical and Practical Framework for Market Analysis
Originality & Core Philosophy
Most trading indicators focus on a single domain: pure price action, a specific economic theory, or a handful of technical oscillators. The "Neeson Crypto Cycle" breaks this paradigm. Its fundamental originality lies not in inventing one new mathematical formula, but in architecting a multi-dimensional, multi-timeframe convergence framework. It operates on a core philosophical premise: financial markets are Complex Adaptive Systems (CAS) influenced by a symphony of concurrent cycles. These cycles range from mathematical and technical ones visible on the chart, to fundamental economic rhythms, down to collective human psychology and even speculative meta-patterns.
The script is built as a "dashboard of dashboards," attempting to quantify and visualize these disparate layers on a single pane. It does not claim predictive certainty but aims to provide a holistic situational awareness, allowing the trader to identify when multiple, unrelated cycles from different domains align (convergence) or conflict (divergence).
What It Does & How It Achieves It
The indicator functions as a comprehensive market-phase and sentiment analysis engine implemented directly on the TradingView chart. It is an overlay indicator that provides visual plots, background coloring, signal labels, and, most notably, extensive multi-table data panels.
Its implementation can be broken down into several operational layers:
1. The Core Technical Cycle Layer:
This is the foundational price-based engine. It simultaneously tracks multiple proprietary cyclical models derived from moving average crossovers with non-standard periods believed to capture crypto-specific rhythms.
CCT Pi Cycle: Uses the interaction between a 150-period EMA / 471-period SMA pair (for "bottom" identification) and a 111-period SMA / (350-period SMA * 2) pair (for "top" identification). It identifies golden/death crosses within these specific pairs.
Atlantean Signals: A variant using similar periods (471, 150, 350, 111) but with different multipliers (e.g., 0.745) and crossover logic to define "Market Bottom," "Bull Market Start," and "Market Top" events.
Bitcoin Cycle: Based on the interaction between a 116-period SMA and a doubled 365-period SMA.
Golden Pi Cycle: Another variant using SMAs of 111, 350, 150, and 471 periods.
These are not just four random moving average systems; they are distinct models targeting different aspects of the purported "Pi-based" and long-term cyclicality in Bitcoin's price history. The script visually plots these lines and labels their crossover events.
2. The Market Phase & Structural Context Layer:
Background Coloring: It dynamically colors the chart background (blue for "Bottom to Top" phase, orange for "Top to Bottom" phase) based on the sequential logic of Atlantean signals, providing immediate visual context for the perceived market regime.
Halving Event Annotations: It marks key historical and projected Bitcoin halving dates with vertical lines and labels, anchoring price action to this fundamental supply schedule.
3. The Quantitative Dashboard Layer (Technical & On-Chain):
This is where the script transitions from chart plotting to an information system. It renders multiple fixed tables on the chart (bottom-left, bottom-center, bottom-right) only on the last bar.
Technical Sentiment Dashboard (Right): A massive table aggregating over a dozen classic and advanced technical indicators (RSI, MACD, Bollinger Bands, Stochastic, ADX, Ichimoku, Parabolic SAR, Fibonacci levels, etc.). For each, it shows a calculated Status (e.g., "Overbought"), a numeric Value, and a concise Advice (e.g., "Sell"). It then groups these into "Cycle Indicators" (status of the core models above) and "Risk Management" metrics (Max Drawdown, Sharpe Ratio simulation, volatility).
Synthetic On-Chain Metrics Dashboard (Center): Since TradingView cannot pull real on-chain data, the script ingeniously simulates 80 different on-chain metrics (NVT, MVRV, Hash Rate, Exchange Flows, HODL Waves, S2F, etc.) by deriving them from price and volume data. Each metric displays a name, a simulated value, a signal ("Overvalued"), and a color code. This provides a proxy for the fundamental/network health narrative.
Multi-Cycle Systems Dashboard (Left): This table transcends traditional finance, cataloging the status of various long-wave cycles:
Economic Cycles: Kondratieff (50-60yr), Kuznets (15-25yr), Juglar (7-11yr), Kitchin (3-5yr), etc., each with a hardcoded current phase (e.g., "Recession (2020-2030)"), impact, and advice.
Speculative & Novel Cycles: Lunar, Seasonal, Commodity Super, Debt, and Innovation cycles.
Esoteric Systems: A full celestial (astrological) positioning of planets and a Four Pillars of Destiny (Bazi) reading, each with assigned market "impact" and "advice."
4. The Synthesis & Alert Layer:
Comprehensive Statistics: The right dashboard concludes with a tally of "Bullish vs. Bearish Signals" from across all technical and cycle indicators, generating an "Overall Sentiment" score.
Alert System: It creates TradingView alert conditions for every major crossover event from the core cycle models (CCT, Atlantean, Bitcoin, Golden Pi), allowing for automated notifications.
Underlying Calculation Logic & Rationale
The logic is built on convergence and weighted evidence. The creator's hypothesis appears to be that significant market turning points are rarely signaled by one indicator in isolation. Instead, they occur when:
Multiple Price-Based Cycle Models Align: When the CCT, Atlantean, and Bitcoin cycles all approach a "bottom" or "top" signal near the same time, the probability of a true phase change is considered higher.
Technical Conditions Match the Cycle Phase: A "Bull Market Start" signal is more credible if accompanied by oversold RSI/Stochastic, bullish MACD, and money flowing in (rising OBV).
The Macro Backdrop Supports the Narrative: The script hardcodes a specific macroeconomic worldview (e.g., "Tightening Credit Cycle," "AI Revolution Tech Cycle") to remind the user of the broader environment the price cycles are operating within.
Awareness of "Non-Rational" Drivers: By including astrological and Bazi elements, the script acknowledges that market narratives and crowd psychology can sometimes be influenced by or framed within these non-traditional systems. It doesn't necessarily predict with them but tracks them as potential sentiment catalysts.
The calculations for technical indicators are standard. The novelty is in their collective presentation and the synthetic creation of supporting data realms (on-chain, economic, esoteric) to form a complete, albeit highly speculative, "universe" of market-influencing factors.
How to Use It: A Practical Guide
This is not a "set and forget" system that generates simple buy/sell arrows. It is a decision-support and research tool.
Market Phase Identification: First, look at the background color and the status of the core cycle models in the right dashboard. Are you in a blue "Bottom to Top" phase? Check if the Atlantean "Bull Market Start" is active. This sets your primary bias.
Seeking Convergent Signals: Before acting on a cycle signal, cross-reference it with the Technical Sentiment dashboard. For example, an Atlantean "Market Top" signal is stronger if the RSI and Stochastic also show "Overbought," the MACD is "Bearish," and the Fear & Greed Index is in "Extreme Greed." Look for clusters of agreement.
Context from Other Dimensions: Check the On-Chain dashboard. Does the synthetic data suggest the network is "Overheated" or "Undervalued"? Check the Economic Cycle table. Does the perceived long-wave phase (e.g., "Kondratieff Recession") support a risk-on or risk-off stance? This provides narrative context for your trade thesis.
Risk Management Integration: Before sizing a position, check the Risk Management section. What is the current "Max Drawdown" and "Volatility Risk"? The dashboard suggests position sizing ("Light," "Medium," "Heavy") based on this.
Utilizing Alerts: Set alerts for the key cycle crossovers (CCT, Atlantean, etc.). When an alert triggers, it's your cue to open the chart and perform the full multi-dimensional convergence analysis described above, rather than acting on the alert alone.
In essence, the "Neeson Crypto Cycle" is a conceptual trading terminal. It posits that the modern trader, especially in crypto, must synthesize information from technicals, fundamentals, macroeconomics, and market psychology. By attempting to model all these facets in one place—even through estimation and simulation—it aims to give the user a structured framework for asking the right questions about the current state of the market, rather than providing simplistic, one-dimensional answers. Its value is in the breadth of its perspective and the discipline of multi-factor confirmation it encourages.
Session Range Boxes(MTF)📦 Indicator Name
Session Range Boxes (MTF)
Multi-Timeframe Directional Session Range Visualization
📘 Description
Session Range Boxes (MTF) is a multi-timeframe market structure tool that visually highlights price range behavior across different time sessions using clean, directional range boxes.
Each box represents the High–Low range of a completed or live session, automatically colored based on directional bias:
🟢 Bullish → Session Close > Session Open
🔴 Bearish → Session Close < Session Open
⚪ Neutral → Session Close = Session Open
This allows traders to instantly identify trend strength, balance zones, volatility expansion, and key support/resistance areas across multiple timeframes — all on a single chart.
🔍 What This Indicator Shows
For every enabled timeframe, the indicator:
Draws a range box from session open to session close
Continuously updates live session High & Low
Locks the final color once the session completes
Keeps historical boxes for structure and context
Supported timeframes:
Quarterly
Half-Yearly
Yearly
Monthly
Weekly
Daily
Hourly
30-Minute
15-Minute
5-Minute
⚙️ Default Behavior
By default, the indicator enables:
Weekly
Daily
Hourly
This default setup is intentionally chosen to suit most traders and provides:
Higher-timeframe structure (Weekly)
Swing context (Daily)
Intraday execution levels (Hourly)
🧠 How to Use It Effectively
📈 Higher-Timeframe Analysis (Swing / Positional Trading)
Recommended combinations:
Weekly + Daily
Monthly + Weekly
Use cases:
Identify dominant market bias
Spot compression vs expansion
Define higher-timeframe support & resistance zones
⚡ Intraday Trading (Day Trading)
Recommended combinations:
Daily + Hourly
Hourly + 30-Minute
Use cases:
Track intraday range development
Identify directional day types
Trade breakouts, rejections, or mean-reversion within session ranges
🚀 Scalping & Precision Entries
Recommended combinations:
Hourly + 15-Minute
30-Minute + 5-Minute
Use cases:
Fine-tune entries within larger session ranges
Align lower-timeframe trades with higher-timeframe bias
Spot micro range expansion and contraction
🎨 Customization Options
Bullish / Bearish / Neutral colors
Box fill transparency
Border transparency & color
Maximum historical boxes per timeframe
This allows you to keep charts clean, lightweight, and performance-friendly.
💡 Best Practices
Avoid enabling too many timeframes at once — clarity beats clutter
Use higher-timeframe boxes for bias, lower-timeframe boxes for entries
Combine with:
Market structure
Volume
VWAP
Liquidity concepts
Price action confirmation
Session Range Boxes (MTF) is a clean, powerful visual tool designed to help traders:
Understand session-based price behavior
Align trades across timeframes
Improve structure awareness without clutter
Whether you are a scalper, day trader, or swing trader, this indicator adapts seamlessly to your workflow.
True open_Trader SocietyTrader Society
true open
open
high und lows
you can take any high and low at any hour in the market
%R Trend Exhaustion + Bottom et TOP
Indicator Description
This indicator identifies bullish reversal zones (Bottoms) using the Williams %R, combining momentum structure with trend context.
A Bottom signal is displayed as a blue dot on the price chart when the following conditions are met:
the overall trend is bullish (fast Williams %R above slow Williams %R),
the fast Williams %R (21) exits the oversold zone by crossing above the −80 level,
the previous momentum was weaker, indicating a gradual improvement in momentum.
The indicator is designed to highlight potential entry points after bearish exhaustion, favoring setups where selling pressure fades within an existing bullish structure.
Neeson Volatility Adaptive Tracker ProVolatility Adaptive Tracker Pro: A Comprehensive Multi-Method Trading System
Executive Summary
The Volatility Adaptive Tracker Pro (VAT Pro) represents a sophisticated fusion of proven technical analysis methodologies with innovative adaptations, creating a unique multi-signal trading system. Unlike single-purpose indicators, VAT Pro combines multiple analytical approaches into a unified framework that addresses the complex realities of modern financial markets. This system is designed for traders who recognize that no single method consistently outperforms, and that market conditions require adaptive, multi-faceted approaches.
Original Innovations: What Sets VAT Pro Apart
1. Hybrid Volatility Measurement System
Most volatility indicators fall into two categories: those based on standard deviation (like Bollinger Bands) or those based on average true range (ATR). VAT Pro introduces a third approach: a weighted volatility measurement system that gives greater importance to recent price movements while maintaining sensitivity to overall market conditions. This creates a dynamic volatility assessment that adapts more responsively to changing market environments than conventional methods.
2. Dual-Layer Signal Architecture
While most indicators generate single-type signals, VAT Pro implements a tiered signaling system that distinguishes between:
Primary trend-following signals (based on price crossing adaptive volatility bands)
Secondary volume-confirmed signals (requiring both price movement and exceptional volume)
This dual-layer approach recognizes that not all market moves have equal significance, and that volume confirmation often signals more substantial moves worthy of special attention.
3. State-Based Logic with Memory
Conventional indicators typically generate signals independently on each bar. VAT Pro introduces persistent state tracking that maintains awareness of whether the market is currently in a bullish, bearish, or neutral condition. This prevents signal redundancy, reduces false signals, and provides valuable context for interpreting current market conditions.
What VAT Pro Does: Comprehensive Market Analysis
Primary Functions
Trend Identification: Detects transitions between bullish and bearish market conditions using multiple confirmation criteria.
Volume Analysis: Identifies exceptional trading activity that often precedes or confirms significant price movements.
Volatility Assessment: Continuously measures market volatility and adjusts sensitivity parameters accordingly.
Visual Context Provision: Uses color-coded price bars, trend lines, and clear signal markers to provide immediate visual feedback.
Multi-Timeframe Compatibility: Functions effectively across various trading timeframes from intraday to positional trading.
Implementation Methodology: The Technical Framework
Core Analytical Approaches
Among the hundreds of available technical analysis methods, VAT Pro specifically implements and integrates:
A. Adaptive Volatility Channel System
This approach modifies the traditional volatility channel concept by:
Using weighted moving averages for volatility calculation rather than simple or exponential averages
Implementing asymmetric response to upward versus downward volatility
Maintaining dynamic channel width that adjusts based on recent market conditions
The system falls within the broader category of volatility-adjusted trend following but introduces unique adaptations that improve responsiveness while maintaining stability.
B. Volume-Price Confirmation Method
Within volume analysis, VAT Pro specifically employs:
Threshold-based volume spike detection (volume exceeding moving average by specified multiples)
Price-direction confirmation (requiring price movement in the expected direction)
Contextual filtering (only considering volume signals in specific market conditions)
This represents a specific implementation within the volume confirmation family of methods, distinguished by its customizable thresholds and filtering logic.
C. Trailing Stop with Adaptive Positioning
The system implements a specific variant of trailing stop methodology characterized by:
State-dependent positioning (different logic for trending versus ranging markets)
Volatility-adjusted distance (stop levels adapt to current market conditions)
Memory of previous positions (the system "remembers" previous trend states)
This approach represents an advanced form of trailing stop placement that combines elements of volatility adjustment with trend state awareness.
Calculation Philosophy: The Core Principles
1. Weighted Response Philosophy
VAT Pro operates on the principle that recent market action should have greater influence than distant history, but not to the exclusion of broader context. This is implemented through custom weighting algorithms that balance responsiveness with stability.
2. Multi-Factor Confirmation Principle
The system is built on the premise that multiple confirming factors (price action, volume, volatility) provide more reliable signals than single-factor approaches. This represents a practical implementation of convergence/divergence analysis across different market dimensions.
3. State Transition Logic
Rather than viewing each bar in isolation, VAT Pro analyzes sequences of price action to determine market states and state transitions. This recognizes that markets often move through identifiable phases (accumulation, trending, distribution, ranging) that require different analytical approaches.
4. Adaptive Sensitivity
The system automatically adjusts its sensitivity based on current market volatility, becoming more responsive in low-volatility conditions and more stable in high-volatility environments. This represents a practical implementation of volatility-adjusted trading logic.
Practical Application: How to Use VAT Pro
Initial Setup and Configuration
Parameter Customization: Begin with default settings, then adjust based on:
Your trading instrument's typical volatility characteristics
Your preferred trading timeframe
Your risk tolerance and trading style
Visual Configuration: Customize colors and display settings to match your charting preferences while maintaining clear signal visibility.
Trading Methodology Integration
VAT Pro supports multiple trading approaches:
For Trend Following:
Use primary signals when confirmed by overall market direction
Employ the adaptive line as a dynamic trailing stop
Monitor state transitions for trend continuation or reversal clues
For Breakout Trading:
Watch for high-volume signals at key price levels
Use volatility bands to identify potential breakout ranges
Employ volume confirmation to distinguish genuine breakouts from false moves
For Position Management:
Utilize the color-coded bar system for immediate trend awareness
Monitor multiple signal types for confirmation or warning signs
Adjust position sizes based on signal strength and market state
Signal Interpretation Framework
Primary Signal Interpretation:
Bullish signals suggest potential long opportunities
Bearish signals indicate potential short opportunities
Signal clustering often indicates stronger moves
Volume Signal Significance:
High-volume buy signals often precede sustained upward moves
High-volume sell signals frequently indicate distribution or panic selling
Volume signals without price confirmation require caution
Contextual Analysis:
Consider market state when interpreting signals
Evaluate signal strength based on recent volatility
Monitor multiple timeframes for confirmation
Performance Characteristics and Best Practices
Optimal Market Conditions
VAT Pro performs best in markets exhibiting:
Clear trending characteristics (for trend-following signals)
Occasional volatility expansions (for volume signals)
Reasonable liquidity (for accurate volume analysis)
Risk Management Integration
Use signal strength to adjust position sizing
Employ the adaptive line for stop-loss placement
Consider market state when determining risk levels
Complementary Tools
For best results, combine VAT Pro with:
Support and resistance analysis
Longer-term trend assessment
Fundamental analysis (for longer timeframes)
Market structure analysis
Conclusion: A Modern Multi-Method Approach
The Volatility Adaptive Tracker Pro represents a significant advancement in technical analysis tools by intelligently combining multiple proven methodologies into a coherent, adaptive system. Its original innovations in weighted volatility measurement, dual-layer signaling, and state-based logic address common limitations of conventional indicators while maintaining practical usability.
By specifically implementing adaptive volatility channels, volume-price confirmation, and state-aware trailing stops, VAT Pro provides traders with a comprehensive toolkit that adapts to changing market conditions while maintaining methodological rigor. This multi-method approach recognizes the complex reality of financial markets while providing clear, actionable signals based on sound technical principles.
Whether used as a primary trading system or as a confirming component within a broader strategy, VAT Pro offers sophisticated analytical capabilities in an accessible, visually intuitive format that supports informed trading decisions across various market conditions and timeframes.
Pivot Point BouncePivot Point Bounce
(Generated by trade-pilot.app Builder)
Overview
Pivot Point Bounce is an intraday support & resistance indicator that automatically plots daily pivot levels and highlights high-probability bounce reactions from those levels during the trading session. It is designed to help traders identify areas where price is likely to react, reject, or reverse.
Daily Pivot Point Levels
The indicator calculates daily pivot points based on the previous trading day’s High, Low, and Close:
Pivot (P) – central equilibrium level
Resistance levels: R1, R2, R3
Support levels: S1, S2, S3
These levels are fixed for the entire trading day and are drawn as horizontal lines on the chart:
Pivot: yellow
Resistances: red
Supports: green
This creates a clear intraday liquidity map that updates automatically every new day.
Bounce Detection Logic
The indicator continuously monitors price interaction with pivot levels and looks for true bounce behavior, not simple touches.
A bounce is detected when:
Price touches or slightly crosses a pivot level (using an ATR-based tolerance).
The next candle closes back on the correct side of the level:
Long bounce: price touches S1, S2, or Pivot from below and closes back above with a bullish candle.
Short bounce: price touches R1, R2, or Pivot from above and closes back below with a bearish candle.
This helps filter out false breaks and focuses on real rejection from key levels.
RSI Confirmation
RSI is used as an additional confirmation layer:
Oversold RSI supports long bounces.
Overbought RSI supports short bounces.
RSI values and thresholds are fully customizable through inputs.
Session Filter
Signals are only generated inside the selected trading session (default: 09:30–16:00 New York time).
This prevents signals during low-liquidity or off-market hours.
Visual Signals & Alerts
When all conditions are met, the indicator:
Displays LONG / SHORT labels directly on the chart.
Plots directional arrows at signal candles.
Supports TradingView alerts for automated notifications.
Why This Indicator Is Useful
Clearly visualizes institutional pivot levels.
Helps identify high-probability bounce trades.
Avoids random entries in the middle of price action.
Combines structure, momentum, and time-based filtering.
Clean, readable, and optimized for intraday trading.
Gold Swings Peaks & Troughs//@version=5
indicator("Gold Swings Peaks & Troughs CLEAN", overlay=true, max_labels_count=500)
// ===== إعدادات المستخدم =====
len = input.int(2, "Swing Length") // عدد الشموع قبل وبعد لتحديد القمة/القاع
minDistance = input.int(5, "Min Bars Between Signals") // لتقليل الإشارات المتقاربة
buyColor = input.color(color.green, "BUY Color")
sellColor = input.color(color.red, "SELL Color")
// ===== متغير لتخزين آخر إشارة =====
var int lastBuyBar = na
var int lastSellBar = na
// ===== قمة و قاع محلية =====
localLow = low == ta.lowest(low, len*2 + 1)
localHigh = high == ta.highest(high, len*2 + 1)
// ===== رسم Labels فقط عند القمم والقيعان مع منع التكرار القريب =====
if localLow and (na(lastBuyBar) or bar_index - lastBuyBar >= minDistance)
label.new(bar_index, low, "BUY", style=label.style_label_up, color=buyColor, textcolor=color.white)
lastBuyBar := bar_index
if localHigh and (na(lastSellBar) or bar_index - lastSellBar >= minDistance)
label.new(bar_index, high, "SELL", style=label.style_label_down, color=sellColor, textcolor=color.white)
lastSellBar := bar_index
Renko Top 2 Picker### **1s Renko Momentum Scanner (HMA Zero-Lag Edition)**
This custom TradingView indicator is engineered specifically for high-frequency Renko traders. It solves the critical problem of identifying which major currency pair has the liquidity and directional inertia to sustain a fixed-brick Renko trend on a 1-second chart.
Because TradingView cannot screen 1-second data directly, this script acts as a "bridge," analyzing 1-minute and 5-minute flow metrics to probability-score the likely performance of a 1-second chart.
---
### **Core Logic & Assumptions**
1. **The "Engine" (HMA 300):**
* **Logic:** The script uses a Hull Moving Average (HMA) with a length of 300 to smooth the scoring output.
* **Why:** On a 1-second chart, 300 bars equals 5 minutes of data. The HMA provides a "Zero-Lag" response, reacting instantly to new breakouts while ignoring the split-second noise that causes standard scanners to flicker.
2. **The "Minute Reset" Solution:**
* **Problem:** Standard scripts fail on 1s charts because metrics like "Current Volume" reset to zero at the start of every new minute (e.g., at 10:05:00), causing signals to crash.
* **Solution:** This script calculates momentum using a "Rolling Window" anchored to the *previous* minute's close and volume. This ensures the signal remains stable and tradable across the :59 to :00 second boundary.
3. **Renko-Specific Scoring:**
* **Displacement > Direction:** The script prioritizes *how far* price is moving (Displacement %) over simple direction. Renko bricks require physical distance to form; without displacement, you pay spread costs for a flat chart.
* **Liquidity Gating:** It ignores pairs with low relative volume. A 1-second Renko chart requires high institutional flow to form clean bricks without gapping.
---
### **Indicator Inputs**
* **Refresh Display (Seconds):**
* *Default: 5*
* Controls how often the text on your screen updates. Set this to 5 or 10 seconds to prevent the text from "dancing," allowing you to read the recommendation clearly.
* **Score Smoothing (HMA):**
* *Default: 300*
* The "Memory" of the scanner.
* **300:** Represents a 5-minute lookback. Recommended for most 1s scalping to identify established trends.
* **120:** Represents a 2-minute lookback. Use this only if you want to catch breakouts aggressively and accept more false signals.
* **Table Position:**
* *Default: Bottom Right*
* Choose where the scanner panel appears on your chart to avoid covering your Renko price action.
* **Major Pairs:**
* *Defaults: EURUSD, GBPUSD, USDJPY, USDCHF, AUDUSD, USDCAD, NZDUSD*
* These fields are pre-filled with the standard "FX:" prefix. **Crucial:** If your broker uses suffixes (e.g., "EURUSD.pro" or "EURUSDm"), you must update these inputs to match your broker's specific symbol format, or the scanner will return "N/A".
---
### **How to Interpret the Output**
The panel displays a **Primary** and **Secondary** recommendation.
* **Green Background:** The pair has a "Strong" score (> 4.0). This indicates high probability conditions for 1s Renko trend following.
* **Gray Background:** The pair is the "best of the bunch," but overall market momentum is weak. Exercise caution, as the 1s chart may be choppy.
N Option Selling 1
**NIFTY Weekly Option Seller – Regime & Risk Framework (HTF + RSI)**
This indicator is a **decision-support tool for NIFTY option sellers**, designed to identify whether current market conditions favor:
* **Iron Condor (IC)** – range / mean-reversion
* **Put Credit Spread (PCS)** – bullish bias
* **Call Credit Spread (CCS)** – bearish bias
The script focuses on **structure selection and risk management**, not trade execution.
---
## Core logic
### 1) Multi-timeframe context
* Signals are calculated on the **active chart timeframe** (commonly 4H).
* **Daily (HTF) EMA trend and Daily ADX** are used as **gating conditions**, ensuring strong directional scores are not allowed against the higher-timeframe context.
This prevents aggressive trend selling when the daily structure does not support it.
---
### 2) Three independent regime scores (0–5)
The script computes three capped and smoothed scores:
* **IC score (Range quality)**
Based on low ADX, price inside CPR, proximity to VWAP, Camarilla H3–L3, daily range confirmation, and mid-band RSI.
* **PCS score (Bullish structure)**
Based on EMA up-stack, trend strength (ADX), price relative to CPR/VWAP, with RSI and Daily trend acting as **brakes**, not entry signals.
* **CCS score (Bearish structure)**
Based on EMA down-stack, trend strength (ADX), price relative to CPR/VWAP, with RSI and Daily trend acting as **brakes**, not entry signals.
RSI is used only to **cap aggressiveness at extremes**, not to predict reversals.
---
### 3) Cross-penalty & smoothing
* When multiple regimes score high simultaneously, **cross-penalties reduce conflicting scores** so only one regime dominates.
* Final scores are **smoothed across bars** to avoid frequent regime flips and unstable sizing decisions.
---
### 4) Regime selection
The script selects **one primary regime** (IC / PCS / CCS) based on the highest adjusted score, with tie-break logic that prefers trend regimes only when ADX confirms strength; otherwise it defaults to IC.
---
### 5) Non-repainting reference levels
The indicator plots key **previous-day, non-repainting levels**:
* CPR (Low / High with Narrow–Wide classification)
* Camarilla H3, L3, H4, L4
* VWAP
These are contextual reference levels for structure and risk placement.
---
### 6) DEFEND / HARVEST prompts
Using ATR-based proximity logic, the script provides:
* **DEFEND** alerts when price approaches modeled risk zones
* **HARVEST** alerts when sufficient cushion exists
* **REGIME** alerts on confirmed regime changes
These are **risk-management prompts**, not buy/sell signals.
---
### 7) Visual dashboard
A compact panel displays:
* Active regime and score
* ADX / RSI
* CPR width classification
* EMA structure and tightness
* VWAP proximity
* IC / PCS / CCS scores
* Key level snapshot
---
## Intended use
* Designed for **weekly option selling**
* Best used on **4H charts with Daily context**
* Suitable for traders who manage positions **once per day**
* Encourages **structure-first thinking** (IC base with controlled directional bias)
---
## Disclaimer
This indicator does **not place trades** and does not calculate position size or P&L.
It is a **market regime and risk-awareness tool** and must be used with proper capital management and execution discipline.
BTC Accum/Dist BUY SELL PRO(ZeeShan)BTC Accum/Dist BUY SELL PRO is a volume-based indicator designed for Bitcoin. It uses Accumulation/Distribution with EMA cross and trend slope to highlight smart-money buying and selling zones, showing clear BUY/SELL arrows, trend background, and alerts.
EMA20-EMA50 Separation Impulse**EMA20–EMA50 Separation Impulse Indicator**
This indicator is a **trend phase classifier**, not a signal generator.
It evaluates the **structural quality of a trend** by measuring the separation between the EMA20 and EMA50, **normalized by ATR**. By using volatility-adjusted distance instead of raw price or percentage, it provides a robust and comparable measure across different instruments and timeframes.
### Key characteristics
* **Discrete states**, not a continuous oscillator
* **Independent from price scale** (displayed in a lower panel)
* **Contextual indicator**, not a timing tool
* **Fully backtestable without ambiguity**
### Logic
The indicator computes:
```
|EMA20 − EMA50| / ATR
```
Based on this normalized separation, each bar is classified into one of three market phases:
* **Green (State 1)**
Ordered trend. EMA structure is compact and stable.
The EMA-based pullback setup has a statistical edge.
* **Blue (State 2)**
Extended trend. Separation is increasing.
Edge is reduced. Trades require more selectivity or reduced position size.
* **Red (State 3)**
Overextended trend. EMAs are widely separated.
Pullbacks to EMA20 lose effectiveness. The setup has no edge.
### How to integrate it into an EMA-based system
This indicator should be used strictly as a **context filter**, not as an entry or exit trigger.
Typical integration rules:
* Allow long entries **only when State = 1 (Green)**
* Reduce position size or require stronger confirmation when State = 2 (Blue)
* Disable EMA pullback entries entirely when State = 3 (Red)
Used correctly, the indicator helps distinguish **when an EMA trend-following system is operating in its optimal environment**, and when market conditions degrade its expectancy.
It answers the question:
> *“Is this still a healthy trend for EMA pullback trading?”*
—not *“Should I buy or sell now?”*
Pivots + FVG + Liquidity Sweeps (Smart Entry)//@version=5
indicator("Pivots + FVG + Liquidity Sweeps (Smart Entry)", overlay=true, max_labels_count=500, max_boxes_count=500)
// ===== INPUTS =====
pivotLeft = input.int(5, "Pivot left bars", minval=1)
pivotRight = input.int(5, "Pivot right bars", minval=1)
sweepLookback = input.int(20, "Lookback for sweep detection (bars)")
sweepAtrMultiplier = input.float(1.0, "Sweep strength (ATR multiplier)")
fvg_max_age = input.int(200, "FVG box expiry (bars)")
show_pivots = input.bool(true, "Show pivot markers")
show_sweeps = input.bool(true, "Show liquidity sweeps")
show_fvgs = input.bool(true, "Show FVG boxes")
require_sweep_for_entry = input.bool(false, "Require recent sweep for smart entry")
confirmation_type = input.string("Bullish/Bearish Engulf", "Confirmation type", options= )
fvg_min_width = input.int(1, "Min FVG width (ticks)", minval=0)
// ===== ATR =====
atrLen = input.int(14, "ATR length")
atr = ta.atr(atrLen)
// ===== PIVOTS =====
ph = ta.pivothigh(high, pivotLeft, pivotRight)
pl = ta.pivotlow(low, pivotLeft, pivotRight)
if show_pivots
if not na(ph)
label.new(bar_index - pivotRight, ph, "PH", style=label.style_label_down, color=color.red, textcolor=color.white, size=size.small)
if not na(pl)
label.new(bar_index - pivotRight, pl, "PL", style=label.style_label_up, color=color.green, textcolor=color.white, size=size.small)
// ===== FVG STRUCT =====
type FVG
float top
float bottom
int born_bar
bool bullish
var FVG fvgs = array.new()
var box fvgBoxes = array.new()
// ===== FVG DETECTION =====
if barstate.isconfirmed
prevHigh = high
prevLow = low
if low > prevHigh and (low - prevHigh) >= syminfo.mintick * fvg_min_width
array.push(fvgs, FVG.new(low, prevHigh, bar_index, true))
if high < prevLow and (prevLow - high) >= syminfo.mintick * fvg_min_width
array.push(fvgs, FVG.new(prevLow, high, bar_index, false))
// cleanup old FVGs
for i = array.size(fvgs) - 1 to 0
f = array.get(fvgs, i)
if bar_index - f.born_bar > fvg_max_age
array.remove(fvgs, i)
// ===== DRAW FVG BOXES =====
if show_fvgs
for i = 0 to array.size(fvgBoxes) - 1
box.delete(array.get(fvgBoxes, i))
array.clear(fvgBoxes)
for i = 0 to array.size(fvgs) - 1
f = array.get(fvgs, i)
col = f.bullish ? color.new(color.green, 85) : color.new(color.red, 85)
bx = box.new(f.born_bar, f.top, bar_index, f.bottom, bgcolor=col, border_width=0)
array.push(fvgBoxes, bx)
// ===== LIQUIDITY SWEEPS =====
var int lastBullSweepBar = na
var int lastBearSweepBar = na
priorHigh = ta.highest(high , sweepLookback)
priorLow = ta.lowest(low , sweepLookback)
bullSweep = high > priorHigh + sweepAtrMultiplier * atr and close < priorHigh
bearSweep = low < priorLow - sweepAtrMultiplier * atr and close > priorLow
if barstate.isconfirmed
if bullSweep
lastBullSweepBar := bar_index
if show_sweeps
label.new(bar_index, high, "Bull Sweep", style=label.style_label_down, color=color.orange, textcolor=color.white, size=size.small)
if bearSweep
lastBearSweepBar := bar_index
if show_sweeps
label.new(bar_index, low, "Bear Sweep", style=label.style_label_up, color=color.orange, textcolor=color.white, size=size.small)
// ===== CONFIRMATION =====
isBullEngulf() => close > open and open < close and close > open
isBearEngulf() => close < open and open > close and close < open
isAnyBull() => close > open
isAnyBear() => close < open
// ===== SMART ENTRY =====
for i = array.size(fvgs) - 1 to 0
f = array.get(fvgs, i)
inFvg = close <= f.top and close >= f.bottom
if inFvg
okSweep = true
if require_sweep_for_entry
okSweep := f.bullish ? (not na(lastBullSweepBar) and bar_index - lastBullSweepBar <= sweepLookback) : (not na(lastBearSweepBar) and bar_index - lastBearSweepBar <= sweepLookback)
if okSweep
confirm = confirmation_type == "Bullish/Bearish Engulf" ? (f.bullish ? isBullEngulf() : isBearEngulf()) : confirmation_type == "Close Above/Below FVG" ? (f.bullish ? close > f.top : close < f.bottom) : (f.bullish ? isAnyBull() : isAnyBear())
if confirm
if f.bullish
label.new(bar_index, low, "Smart Long", style=label.style_label_up, color=color.lime, textcolor=color.black, size=size.normal)
else
label.new(bar_index, high, "Smart Short", style=label.style_label_down, color=color.fuchsia, textcolor=color.white, size=size.normal)
break
RS Rating Table
90–99 :Elite stocks outperforming 89–98% of the market. Focus here for potential winners.
70-89: Above-average performers, beating 69–88% of stocks. Solid but not exceptional. Good for growth plays.
50-69: Middling performance, outperforming 49–68% of the market Nothing standout—often tracks the index without much edge.
30-49: Underperforming 51–70% of stocks. Weak relative strength; avoid for long positions.
1-29: Laggards, outperforming only 1–28% . High risk of continued weakness.
Time-Segmented RVOLTime-Segmented RVOL
The Mathematical Flaw in Standard RVOL
Most Relative Volume (RVOL) indicators are built on a "Linear Scaling" hypothesis. They take the daily average and divide it by the number of bars in the day. This fails to account for the "Volume Smile"—the natural tendency for volume to be heavy at the open/close and dry up during mid-day. This leads to "False Highs" every morning and "False Lows" during lunch.
The Solution: Time-Slot Memory
This script uses a high-performance array to create a 20-Day Memory for every specific minute of the trading day.
Contextual Comparison: It compares the current 10:30 AM bar only to the previous twenty 10:30 AM bars.
Pre-Market Precision: Because it compares 4:00 AM volume to historical 4:00 AM volume, it can spot "early-bird" runners hours before the opening bell, identifying unusual interest when total volume is still low.
The Coherent Momentum Tiers
We have organized the color logic into four distinct, logical tiers to assist in rapid decision-making:
Cold (Blue): RVOL < 1.0 . Volume is below the historical average for this specific time slot.
Building (Green): RVOL 1.0 – 3.0. Active participation. The stock is "Awake" and moving with healthy, sustainable interest.
High Intensity (Yellow): RVOL 3.0 – 5.0. Extreme interest. The trade is becoming "crowded"; look for increased volatility.
Parabolic/Super High (Pink): RVOL > 5.0. Massive abnormality (5x+ normal volume). Common in small-cap "pumpers" and major institutional news events.
Trading Strategy: Spotting the "In-Play" Runner
The Awake Signal: Watch for a transition from Blue to Green. This confirms the ticker is "in-play" relative to its own 20-day history.
The Breakout: Look for Yellow or Pink bars accompanied by a price breakout from a consolidation zone. High RVOL confirms the move has real conviction.
Exhaustion (White X): The script includes built-in divergence tracking. If the price makes a new high but the RVOL bars are shrinking, a "White X" will appear. This suggests "Volume Exhaustion"—the fuel is running out.
Settings
Lookback (Days): Default is 20. This acts as a "Truth Filter" to ensure the baseline remains grounded in long-term reality rather than chasing short-term noise.
Custom Thresholds: Fully adjustable levels for the Green, Yellow, and Pink tiers to suit different asset classes (Small-caps vs. Mega-caps).
TSLA Cycle Timing - 122-Day Reversal Map (Adaptive Framework)This indicator is a timing map built specifically for Tesla (TSLA) on the Daily chart. It plots a repeating set of vertical, color-coded timing markers inside a 122-bar cycle (commonly treated as ~122 trading days on the Daily timeframe). These markers highlight reversal “zones”—areas where TSLA has historically shown a tendency to pivot from high-to-low and low-to-high within the cycle.
The script includes:
23 TSLA-derived set points (Points 1–23): the core timing map used to mark the most repeatable reversal areas.
Two optional “Inversion Points” (INV A / INV B): manual markers you can enable when TSLA’s high/low sequence appears to flip due to a structural deviation.
One additional optional marker (OPT C) for user customization.
This is not an auto-buy/sell system. It is a cycle-structure framework designed to help you anticipate when a reversal is more likely to occur, so you can combine it with your own confirmation tools (price action, trend context, support/resistance, volume, etc.).
Definitions (How this script interprets highs/lows)
In the context of cycle mapping:
A High Point is the highest price reached between two neighboring high pivots.
A Low Point is the lowest price reached between two neighboring low pivots.
The vertical lines are timing markers, not “guaranteed pivot candles.” Price may top/bottom slightly before or after a line. That’s why the script includes an optional ± window (in bars) to visualize a small tolerance zone around each marker.
How it works (Conceptually)
The script defines a repeating cycle length (default 122 bars).
Inside each cycle, each point has an offset measured in bars from the cycle start.
For every cycle instance (past, current, and optional future cycles), the script draws:
a vertical dotted line at each enabled point offset
optional ± window bands around the line
optional labels (numbers for set points and “INV” labels for inversion points)
Because this is a Tesla-specific map, the default offsets for Points 1–23 are preconfigured based on TSLA’s observed structure, and the remaining optional points are user-controlled.
How to Use (Important)
1) Use the Daily chart first
This model is designed around TSLA’s Daily cycle behavior. Start with:
Symbol: TSLA
Timeframe: 1D
If you use other timeframes, the cycle “tempo” can change and may require different offsets.
2) Identify the cycle start (anchor)
Cycle mapping depends on where the current cycle is anchored.
Use “Bars Back to Current Cycle Start” to shift the cycle start so that the script’s point sequence aligns with your most recent known cycle beginning. Once aligned, the points should repeat near each 122-bar interval.
3) Read the vertical markers as reversal zones
The colored vertical lines represent areas where reversals have historically occurred, not a promise that price must reverse exactly on the line.
A practical approach:
Use the marker as a “heads-up” zone
Wait for confirmation (trend break, candle structure, momentum shift, key level reaction, etc.)
4) Understand “set points” vs “Inversion Points”
Set Points (1–23)
These are the primary TSLA reversal zones that tend to recur within the 122-bar structure. Specific numbered points often appear near the same relative position inside each cycle.
Inversion Points (INV A / INV B)
Occasionally, TSLA’s cycle behavior can flip—meaning the expected high-to-low (or low-to-high) progression temporarily swaps order. This is what I refer to as an inversion.
When you see a cycle behaving “backwards” relative to the usual sequence:
Enable INV A and/or INV B
Place their offsets at the bar locations where the flip becomes obvious
Use these markers as manual annotations so your cycle notes stay consistent even when TSLA deviates from its typical rhythm
These inversion markers do not force the script to predict a flip—they allow you to document it cleanly.
5) Use the ± Window Bands to manage real-world variance
Markets don’t pivot on perfect timestamps. If a reversal tends to happen “around” a point:
Enable ± Window Bands
Set Window ± Bars (commonly 1–3 bars on 1D)
This gives a realistic visual tolerance zone around each timing marker.
Settings Guide (Practical)
Cycle Length (bars): 122 (TSLA Daily baseline)
Lookback Bars: increase to study more history, decrease for performance
Future Cycles: use sparingly; future markers are guidance zones, not guarantees
Past Cycles: Lines Only: recommended ON for stable performance
Labels at Top: helps keep the chart clean and readable
Final Notes / Limitations
This is a historical timing framework designed to map TSLA’s repeating reversal structure. It helps estimate when reversal pressure tends to appear, but it does not replace risk management or confirmation. Cycle behavior can stretch, compress, or invert during unusual volatility regimes—hence the inclusion of optional inversion markers.
Gold 2-Week Futures LevelsYou may change the color at bottom of script and i used 1h to mark out my levels, you may change it to fit your time frame.
DkS Market Structure Breakout Strategy Crypto & ForexDkS Market Structure Breakout Strategy Crypto & Forex
🔍 Overview
DkSPro – Universal Market Analysis is a structure-based trading strategy designed for Crypto and Forex markets, focused on trend alignment, breakout confirmation, and volume validation.
This strategy is built to filter low-quality trades, avoid ranging conditions, and reduce false breakouts by requiring multiple layers of confirmation before any trade is executed.
It is intended for scalping and intraday trading, prioritizing consistency and risk control over trade frequency.
🧠 Strategy Logic (How It Works)
DkSPro follows a sequential decision process, not a single-indicator signal:
Trend Bias (EMA Structure)
A fast and slow EMA define the directional bias.
Long trades are only allowed during bullish EMA alignment.
Short trades are only allowed during bearish EMA alignment.
This prevents counter-trend and ranging-market entries.
Market Structure & Breakout Validation
The strategy identifies recent swing highs and lows.
Trades are triggered only after a confirmed breakout of structure, not during consolidation.
This avoids early entries and false momentum moves.
Volume Confirmation
Volume must exceed its moving average by a defined multiplier.
This ensures participation and filters out low-liquidity breakouts.
Volume thresholds adapt depending on the selected trading mode.
Momentum Confirmation (RSI)
RSI is used strictly as a momentum filter, not as a standalone signal.
It confirms that price movement aligns with the breakout direction.
Risk Management (Mandatory)
Every position includes a predefined Stop Loss and Take Profit.
Position sizing is based on a fixed percentage of equity, keeping risk per trade within sustainable limits.
All conditions must align simultaneously; otherwise, no trade is executed.
⚙️ Trading Modes
SAFE Mode
Stronger volume and RSI thresholds
Fewer trades, higher selectivity
Designed for risk control and consistency
AGGRESSIVE Mode
Slightly relaxed filters
Higher trade frequency during strong momentum
Intended for experienced users only
📊 Markets & Assets
This strategy has been actively used and tested on:
🟢 Crypto (Binance / Binance.US)
SOL-USDT
XRP-USDT
Other high-liquidity pairs (BTC, ETH)
Crypto mode benefits from stronger volume confirmation to adapt to higher volatility.
🔵 Forex
Major pairs such as EURUSD, GBPUSD, USDJPY
Optimized for liquid markets with lower relative volume
The same structural logic applies to both markets, with volume behavior naturally adapting to each asset class.
⏱ Recommended Timeframes
Crypto: 5m – 15m
Forex: 15m – 1H
Lower timeframes (1m) are not recommended due to noise and unreliable volume behavior.
🧪 Backtesting & Settings Transparency
Default strategy properties are intentionally conservative to reflect realistic conditions:
Initial capital: $20,000
Position size: 2% of equity
Commission: 0.08%
Slippage: 1 tick
Fixed Stop Loss and Take Profit on every trade
Backtests should be performed on sufficient historical data (ideally 6–12 months) to ensure a statistically meaningful sample size (100+ trades).
📈 Originality & Usefulness
DkSPro is not a simple indicator mashup.
Each component serves a specific role in a layered confirmation system:
EMAs define direction
Structure defines timing
Volume validates participation
RSI confirms momentum
Risk management controls exposure
Removing any layer significantly reduces signal quality. The strategy is designed as a complete decision framework, not a signal generator.
⚠️ Important Notes
This script is an analysis and execution tool, not financial advice.
Market conditions change, and no strategy performs well in all environments.
Users are encouraged to backtest, forward test, and adjust position sizing according to their own risk tolerance.
🧩 Version Notice
This publication represents a consolidated and refined version of an internal experimental script.
No parallel or duplicate versions are intended.
All future improvements will be released exclusively using TradingView’s Update feature.
🇪🇸 Descripción en Español (Resumen)
DkSPro es una estrategia basada en estructura de mercado, diseñada para Crypto y Forex, que combina tendencia, ruptura de estructura, volumen y control de riesgo.
Solo opera cuando todas las condiciones se alinean, evitando rangos, falsas rupturas y sobreoperar.
Ha sido utilizada en Binance con pares como SOL-USDT y XRP-USDT, así como en Forex, siempre con gestión de riesgo fija y condiciones realistas.
MACD 12-26-9 with Slope, Convergence & Divergence1. Core Indicator: MACD (12-26-9)
The script uses the standard MACD:
Fast EMA: 12
Slow EMA: 26
Signal EMA: 9
It plots:
MACD Line → short-term vs long-term momentum
Signal Line → smoothed MACD
Histogram → distance between MACD and Signal
2. Histogram Slope (Momentum Acceleration)
What it is
The slope measures how fast the MACD histogram is changing.
histSlope = hist - hist
What it tells you
Positive slope → momentum accelerating
Negative slope → momentum slowing
Slope flip → early momentum shift (often before MACD cross)
Why it matters
MACD crosses are lagging.
Histogram slope gives early warning of momentum changes.
3. Convergence & Divergence (MACD vs Signal)
How it’s calculated
The script measures the distance between the MACD and Signal lines:
distance = abs(macdLine - signalLine)
Convergence → distance is shrinking
Divergence → distance is expanding
Interpretation
Convergence = compression / energy building
Divergence = expansion / trend strength or exhaustion
This is not price divergence, but internal momentum structure.
4. MACD Perimeter Threshold (Momentum Filter)
What it is
Horizontal bands above and below zero that define a “noise zone”.
Inside perimeter → weak / choppy momentum
Outside perimeter → strong momentum
Why it’s useful
Filters low-quality MACD crosses
Identifies compression → expansion
Helps spot trend exhaustion when momentum fades outside the band
5. Visual Encoding (What you see)
Histogram colors
Bright green / red → strong acceleration
Dull green / maroon → weakening momentum
Gray → indecision
MACD line color
Yellow → converging (compression)
Orange → diverging (expansion)
Blue → neutral
Markers
Up triangle → bullish convergence
Down triangle → bearish divergence
6. How traders use this indicator
Trend continuation
MACD above zero
Histogram positive
Slope rising
Divergence expanding
➡ Strong trend continuation
Pullback entries
Trend intact
Histogram pulls back toward zero
Slope turns up again
➡ High-probability re-entry
Breakout anticipation
Long convergence
Histogram flattening
Sudden slope expansion
➡ Breakout likely
Exhaustion warning
Large divergence
Histogram slope weakens
Momentum fails to expand
➡ Trend may stall or reverse
7. Best use cases
Works best as a momentum confirmation tool
Combine with:
Market structure
Support / resistance
Moving averages
Volume or Force Index
