MAG7 and VIXMAG7 and VIX is a institutional-grade market breadth and sentiment dashboard designed specifically for Nasdaq (NQ) traders. Instead of relying on a single price chart, this indicator provides a "look under the hood" of the market by tracking the volatility of the entire index and the individual performance of the seven stocks that drive over 40% of the Nasdaq 100's movement.
Core Components
1. The Fear Gauges (Volatility Monitoring)
This section tracks the VIX (S&P 500 Volatility) and VXN (Nasdaq Volatility).
The Logic: Volatility and price usually have an inverse relationship.
Risk-On: When these numbers are Green (negative %), volatility is dropping, which usually provides a "tailwind" for stocks to rise.
Risk-Off: When these numbers turn Red (positive %), fear is entering the market, often preceding a sharp sell-off or indicating that a rally is built on "shaky ground."
2. Tech Leaders (Market Breadth)
This monitors the Mag7 (NVDA, AAPL, MSFT, AMZN, GOOG, META, TSLA). The dashboard calculates a Weighted Average of these leaders to show the true strength of the "engines" behind the NQ.
Weights: NVDA, AAPL, and MSFT are given 1.5x weight because their market caps have the highest impact on the index.
Individual Heatmap: Each stock has its own cell that changes color based on its performance relative to the daily open.
Using the Dashboard for Divergence Trading
The primary value of this indicator is spotting Divergence, which occurs when the NQ price is lying to you but the internal data shows the truth.
Bearish Breadth Divergence: The NQ hits a new high, but the Tech Leaders Average is negative, and most individual cells (like NVDA or MSFT) are red. This indicates the move is "thin" and likely a bull trap.
Bullish Breadth Divergence: The NQ is flushing to new lows, but the Tech Leaders are starting to turn green or the Fear Gauges are rapidly dropping. This often signals that a bottom is being put in.
Dashboard Placement & Aesthetics
Top Center Positioning: Placed by default at the top-center of your chart to keep your eyes on the price action while maintaining peripheral awareness of the macro data.
Large UI: Designed for high-resolution screens so you can read the percentage shifts without squinting during fast-moving "Turbo" sessions.
Real-Time Updates: The data is fetched dynamically using request.security, ensuring the "Heatmap" reflects current intraday strength rather than just yesterday's close.
Циклический анализ
Macro 6-PackMacro 6-Pack dashboard: SPX momentum, VIX, HY credit spread, 10Y yield shifts, DXY trend, and 2s10s curve.
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.
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.
Hodrick-Prescott Structural CycleThis script is about solving one specific problem: Decomposition.
In any market, you have two things happening at once: the underlying "Trend" (the structural value) and the "Cycle" (the noise or volatility around that value). The Hodrick-Prescott (HP) filter is the standard econometric tool to separate them.
1. The Separation Logic (HP Filter)
Most moving averages lag. The HP filter attempts to find a smooth curve that represents the long-term path of the asset, minimizing the variance of the cycle.
In the code, the "stiffness" of this curve is controlled by Lambda ().
get_auto_lambda() =>
timeframe.isintraday ? 6250000 :
timeframe.isdaily ? 129600 :
1600
1600 is the standard used by economists for quarterly data. If the timeframe changes (daily or intraday), it automatically scales Lambda up to maintain that same "quarterly" smoothness on a faster chart.
2. The Mechanics (2-Pole Recursion)
The classic HP filter looks at future data, which is impossible for live trading. We uses a 2-Pole Super Smoother to approximate that curve using only past data.
hp_filter_2pole(src, period) =>
// ... coefficients calculated ...
var float filt = 0.0
filt := c1 * (src + nz(src )) / 2 + c2 * nz(filt ) + c3 * nz(filt )
See the filt and filt -> that's recursion. The filter references its own previous output. This creates memory, allowing the line to resist sudden spikes in price (noise) while slowly adapting to the true direction.
3. The Four Market Regimes
This script splits the market into four distinct quadrants based on where the Z-Score is and where it is going.
bool is_expansion = z_score > 0 and z_score > z_score
bool is_downturn = z_score > 0 and z_score < z_score
bool is_recovery = z_score < 0 and z_score > z_score
bool is_recession = z_score < 0 and z_score < z_score
1. Expansion (Green): We are above the trend, and momentum is accelerating.
2. Downturn (Orange): We are above the trend, but momentum is slowing (topping out).
3. Recession (Red): We are below the trend, and price is collapsing.
4. Recovery (Blue): We are below the trend, but price has stopped falling and is turning up.
The Background Zones: Statistical Extremes
This script monitors the Z-Score (the normalized cycle). When this score moves beyond 1.0 standard deviation from the mean (zero), the background lights up.
Red Background (Recession Zone): The Z-Score is < -1.0. Price is significantly below its structural trend. This is where fear is highest, and the asset is statistically "underwater."
Green Background (Overheating Zone): The Z-Score is > 1.0. Price is stretching far above the trend.
Why it matters: Markets rarely stay beyond 2.0 standard deviations for long. When you see the background colored, you are in an outlier event. (The rubber band is stretched)
Divergences: The "Check Engine" Light
It also scans for discrepancies between Price Action and the Cycle Momentum (Z-Score).
Bullish Divergence: Price makes a Lower Low, but the Cycle makes a Higher Low. The sellers are pushing price down, but with less conviction than before.
Bearish Divergence: Price makes a Higher High, but the Cycle makes a Lower High. Buyers are exhausted.
How to use this:
Do not treat a divergence tag as an entry signal.
A divergence is a state of discrepancy, not a timing trigger. It tells you that the prevailing trend is running out of steam.
ICT Silver Bullet BoxesOverview
This Pine Script v6 indicator is a streamlined tool designed for ICT (Inner Circle Trader) students, specifically optimized for traders in the Dhaka (GMT+6) time zone. It automates the drawing of high-probability liquidity zones based on the Asian Range and the Silver Bullet algorithm windows.
Unlike standard session highlights, this script focuses on the price action boundaries (Highs and Lows) within these specific windows to help you identify liquidity pools and potential "Judas Swing" targets.
Key Features
Asian Range (Liquidity Phase): Automatically marks the high and low of the 7:00 PM – 12:00 AM NY window (6:00 AM – 11:00 AM Dhaka). This box represents the day's initial consolidation where buy-side and sell-side liquidity is engineered.
Silver Bullet Windows: Highlights the two most critical 60-minute windows:
London Silver Bullet: 3:00 AM – 4:00 AM NY (2:00 PM – 3:00 PM Dhaka)
NY AM Silver Bullet: 10:00 AM – 11:00 AM NY (9:00 PM – 10:00 PM Dhaka)
Automatic DST Adjustment: The script uses the America/New_York timezone internally. This means the boxes will automatically shift correctly when New York enters Daylight Saving Time, keeping your Dhaka chart accurate year-round.
Clean Visuals: Instead of coloring the entire background, the script draws precise boxes around the price action High/Low of each session for a clutter-free experience.
How to Use
Mark Liquidity: Use the Asian Range Box to identify where the "stops" are resting.
Anticipate the Sweep: During the London or NY Open, look for price to raid the Asian High or Low.
Execute the Bullet: Within the Silver Bullet boxes, look for a Market Structure Shift (MSS) and a Fair Value Gap (FVG) for your entry.
Settings
Custom Colors: Fully customizable colors and opacity for both London and New York sessions.
Borders: Toggle borders on/off to match your chart theme.
Price Probability Engine - Volatility & Structure-Based TargetsThe aim of the indicator is:
To provide adaptive, probability-weighted price target zones that help traders frame where price is most likely to interact next, without predicting when or guaranteeing direction.
Price Probability Engine is a target-projection overlay that blends three independent “next-move” reference methods into a single pair of AVG targets:
AVG Bull = a probabilistic upside objective
AVG Bear = a probabilistic downside objective
It is designed to help you frame the most reasonable near-term price zones using both volatility (ATR) and structure (pivot swings + measured moves) rather than relying on a single indicator.
What you see on the chart
When enabled, the script plots:
AVG Bull line (upper target)
AVG Bear line (lower target)
Optional last-bar labels that print the current target values
The overlay is scale-locked so the plots stay aligned with price when you scroll/zoom the chart.
How it works (conceptual, step-by-step)
1) ATR “reach filter” (probability gating)
All components are first checked against a reach filter:
A target is considered “reachable” only if it is within
Reach Filter × ATR from the current price.
This prevents extremely distant projections from dominating the final average.
2) Three component target engines
The script computes three upside candidates and three downside candidates:
A) ATR Component (volatility projection)
Uses ATR Length and ATR Multiplier
Projects a simple near-term band around price:
atrBull = close + ATR × mult
atrBear = close - ATR × mult
Direction mode:
Candle: compares close to close
Momentum(3): uses close − close
B) AutoFib Component (swing extension)
Detects swing highs/lows using pivot logic (Left/Right bars)
Projects an extension using a selectable Fib level (1.272 / 1.414 / 1.618 / 2.0 / 2.618)
Gives a structure-based target derived from the current swing range
C) Lindsey Component (measured-move target)
Detects a 3-point pivot sequence (P1/P2/P3) and projects a measured move to P4:
Bull: from a low-high-higher-low sequence
Bear: from a high-low-lower-high sequence
Optional P1/P2/P3 markers can be displayed for learning/debugging
3) Dynamic weighting (closer targets matter more)
If Dynamic Weights is enabled, each component’s weight increases as the target gets closer to price (within the reach window).
This means the final AVG tends to favor targets that are both reachable and near-term relevant.
You can control:
Base Weight (Fib / Lindsey / ATR)
Dynamic Power (how aggressively “closer” becomes “heavier”)
4) Outlier trimming (stability)
If Trim Outlier Component is enabled, the script:
computes a simple median reference of the remaining component targets
drops any target that deviates from the median by more than
Outlier Threshold × ATR
This reduces sudden jumps when one method produces an unusually extreme projection.
5) Final output: a weighted average (bull + bear)
The remaining eligible components are combined into:
AVG Bull (weighted average of bull candidates)
AVG Bear (weighted average of bear candidates)
If no components pass the reach filter (or are trimmed), the AVG line can temporarily become unavailable until valid inputs re-appear.
How to use it (practical workflow)
Pick your timeframe, then tune ATR:
Start with ATR Length 14 and ATR Mult 1.0–1.5
Set a reasonable Reach Filter (x ATR):
Smaller = only near targets
Larger = includes more distant projections
Decide how you want it to behave:
Dynamic Weights ON for “closer targets dominate”
Outlier Trim ON for smoother / less erratic averages
Use the AVG lines as planning zones, not certainties:
They are best treated as “where price is most likely to seek next” based on the blend of volatility + structure.
A common use is to monitor how price reacts as it approaches either AVG line (stalling, rejection, acceleration), and then reassess as new pivots/ATR values update.
Settings guide (quick)
ATR Length / Multiplier: controls the volatility envelope
Direction Mode: changes the bias input for ATR projection
Lindsey Left/Right: smaller = more sensitive pivots; larger = fewer, more meaningful pivots
Fib Left/Right + Extension: controls the swing structure target
Reach Filter: controls what qualifies as a realistic near-term target
Dynamic Power: higher = stronger preference for the nearest target
Outlier Threshold: higher = fewer removals; lower = more aggressive trimming
Notes / Transparency
This script does not place trades or guarantee outcomes. It is a visual target framework that adapts as volatility and market structure change. For best clarity, publish charts with this script on a clean layout so the AVG lines and labels are easy to identify.
T-Theory - by: Terry LaundryThis script is brought to you, via inspiration by trader Marty Schwarz. His book titled Pit Bull is widely available - for free on PDF. He credits Terry Laundry with the T-Theory, also available for free on look-up.
Here is a description provided on Gemini AI. T-Theory, developed by Terry Laundry, is a technical analysis methodology based on the principle of Time Symmetry. It posits that the market spends an equal amount of time building up energy (the "Magic T") as it does releasing that energy in a trending move.
Here is an objective summary of its core mechanics:
1. The Principle of Symmetry
The central law of T-Theory is that the duration of a market's "cash buildup" phase (the left side of the T) will be matched by the duration of the "run" phase (the right side of the T).
The Center Post: This represents the peak of a market's internal strength or momentum.
The Left Wing: The time from a previous low to the center post.
The Right Wing: The projected time from the center post to the end of the new trend.
2. Time over Price
Unlike many technical indicators that focus on price targets, T-Theory is almost entirely focused on time targets. It suggests that once a "T" is identified, the trend will persist until the time symmetry is exhausted, regardless of how high or low the price goes during that window.
3. Magic T's and Sub-T's
The theory operates on a hierarchical basis:
Grand Macro T's: These define long-term secular trends and can span years.
Minor T's: These represent shorter-term bursts of momentum within a larger trend.
The Law of Proportion: Larger horizontal wings (more time spent consolidating) necessitate larger vertical posts (more significant momentum shifts), creating a visual hierarchy on the chart.
4. Identification via Oscillators
While you requested the script focus on price action, Laundry originally identified these "buildup" phases using the McClellan Oscillator. He looked for periods where the oscillator showed "strength" (buildup) followed by a "breakout" from a trendline on the oscillator itself, which marked the center post of the T.
Key Visual Characteristics
Non-Intersection: In a clean T-Theory setup, the horizontal "wings" represent time spans and should ideally sit above or below the price action to clearly define the period of the trade without being obscured by daily volatility.
The Center Post Gap: The vertical post should be near the price data to show the point of origin for the momentum, but it requires enough "room" to remain distinct.
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.
Al Sat Alpha Hunter System [MTF + Risk Manager]çok güzel yerlerden al sat komutu çıkıyor ve bunu size ücretsiz vermek istedim sizde faydalanın
The Fantastic 4 - Momentum Rotation StrategyOverview
The Fantastic 4 is a tactical momentum rotation indicator. It rotates capital monthly across four carefully selected assets based on their 75-day Rate of Change (ROC), allocating only to assets with positive momentum and proportionally weighting them by their momentum strength.
This indicator tracks the strategy's historical performance, displays current allocation recommendations, and sends monthly rebalance alerts so you can easily manage your portfolio. Simply set your capital amount and the indicator shows exactly how much to invest in each asset.
Why These Four Assets?
The selection of 20-year Bonds, Gold, Russell 2000, and Emerging Markets is based on their specific volatility and decorrelation characteristics, which allow the strategy to react quickly to market shifts while providing protection during downturns.
Russell 2000 (Small Caps)
Chosen over the S&P 500 because it is more "lively" and active (Nowadays you could use also the Nasdaq). Its trends are steeper and more vertical, making it easier for a momentum indicator to catch clear trends. While the S&P 500 has more inertia, the Russell 2000 develops faster, allowing the strategy to capture gains in shorter periods.
Emerging Markets
Included because they can act like a "rocket," offering explosive growth potential while maintaining high decorrelation from developed equity markets. When emerging markets trend, they trend hard.
20-Year Bonds
Selected because they are the most decorrelated asset from equities. When a stock market crash occurs, capital typically flows into fixed income, and long-term bonds (20-year) notice this influx the most, making their price reaction more significant and easier to trade. This is the strategy's primary "safe haven."
Gold
Along with bonds, gold serves as a defensive asset providing a "shield" for the portfolio when general market conditions deteriorate. It offers additional decorrelation and crisis protection.
How the Strategy Works
The 75-Day Momentum Engine
The strategy uses a 75-day momentum lookback (roughly 3.5 months), which is considered very "agile" compared to other models like Global Equity Momentum (GEM) that use 200-day periods. This shorter window allows the strategy to:
React quickly to changes in trend
Catch upward movements in volatile assets early
Exit quickly when trends break
Monthly Rebalancing Process
At the end of each month:
Step 1: Calculate 75-day ROC for each asset
Step 2: Filter out assets with negative momentum (they receive 0% allocation)
Step 3: Distribute capital proportionally based on momentum strength
Step 4: Apply 5% minimum threshold (smaller allocations become zero)
Step 5: Apply 80% maximum cap (no single asset exceeds 80%, remainder stays in cash)
The 80% Ceiling Rule
There is an 80% investment ceiling for any single asset to prevent over-exposure. If only one asset (like bonds) has positive momentum, 80% goes to that asset and 20% remains in cash/liquidity.
Behavior in Bearish Markets
When markets turn bearish, the strategy protects capital through several mechanisms:
Automatic Risk-Off
Because the strategy only invests in assets with positive momentum, it automatically moves away from crashing equities. If an asset's trend becomes negative, the strategy stays "on the sidelines" for that asset.
The Bond Haven
During prolonged bearish periods or sudden crashes (like COVID-19), the strategy typically shifts into 20-year bonds. During the COVID-19 crash in March 2020, while global markets were collapsing, strategies like this reportedly yielded positive returns by being positioned in bonds.
Full Liquidity Option
If no assets show positive momentum, the strategy moves to 100% cash. This is rare given the decorrelation between the four assets—when equities crash, bonds and gold typically rise.
What This Indicator Does
This is a tracking and alerting tool that:
Calculates the optimal allocation based on current momentum
Shows historical monthly performance of the strategy
Simulates portfolio equity growth from your specified starting capital
Displays exact dollar amounts to invest in each asset
Sends monthly rebalance alerts with complete instructions
Detects missing data to prevent false signals
Features
Dynamic allocation table showing weights, dollar amounts, and ROC values
Monthly returns history with color-coded performance
Data availability detection with visual status indicators
Configurable alerts for rebalancing, go-to-cash, and missing data
Simulated equity curve from initial capital
Settings Guide
Assets
Configure your four ETFs. The default European ETFs are:
Asset 1 - XETR:IS04: iShares 20+ Year Treasury Bond (Bonds)
Asset 2 - XETR:GZUR: Gold ETC
Asset 3 - XETR:XRS2: Xtrackers Russell 2000 (Small Caps)
Asset 4 - XETR:XMME: Xtrackers Emerging Markets (EM)
For US markets, consider: TLT (20-year bonds), GLD (Gold), IWM (Russell 2000), EEM (Emerging Markets)
Strategy Settings
ROC Period - Momentum lookback in daily bars. Default: 75 days (~3.5 months)
Max Allocation % - Maximum weight for any single asset. Default: 80%
Min Allocation % - Threshold below which allocation becomes zero. Default: 5%
Capital
Initial Capital - Your portfolio value. The indicator calculates exact amounts for each asset based on this. Default: $20,000
Display
Table Positions - Position the allocation and history tables on screen
Months of History - How many past months to display (3-24)
Alerts
Monthly Rebalance Alert - Sends complete allocation details at month end
Go-to-Cash Alert - Alerts when all assets have negative momentum
Missing Data Alert - Warns when asset data is unavailable
How to Use
Initial Setup
Add indicator to any chart and switch to MONTHLY timeframe
Configure your four ETF tickers
Set your portfolio capital amount
Position the tables where you prefer
Setting Up Alerts
Click Alert button or press Alt+A
Set Condition to "Fanta4"
Select "Any alert() function call"
Choose notification method (Email, Push, Webhook, etc.)
Set expiration to "Open-ended"
Monthly Workflow
Receive rebalance alert at the start of each month
Alert shows exact percentages AND dollar amounts for each asset
Adjust your portfolio accordingly
No action needed during the month
Reading the Tables
Green = positive returns/momentum
Red = negative returns/momentum
Orange "N/A" = missing data
Alloc column shows weight distribution (e.g., "45/35/20/—")
Alert Message Example
Monthly alerts include:
Target month for the new allocation
Current portfolio value
Each asset's percentage AND dollar amount
Each asset's momentum (ROC) value
Cash allocation if applicable
Total return since inception
Historical Context
This strategy combines elements of:
Dual Momentum (Gary Antonacci) - Relative and absolute momentum
Global Equity Momentum (GEM) - But with shorter 75-day vs 200-day lookback
Risk parity concepts - Decorrelated asset selection
The key innovation is the specific asset selection optimized for momentum trading and the agile 75-day lookback period that allows faster reactions to trend changes.
Data Requirements
The strategy activates only when all four assets have valid price data (minimum 75 days of history). The data status row shows checkmarks for available data. Note: Some ETFs have limited history (e.g., XMME data starts June 2017).
Limitations
This is a tracking indicator, not an automated trading system
Past performance is hypothetical and does not guarantee future results
Requires all four assets to have valid data; partial allocation not supported
Monthly rebalancing may miss shorter-term momentum shifts
Transaction costs, slippage, and taxes are not included in simulation
ETF availability and liquidity vary by region
The 75-day momentum may whipsaw in choppy, trendless markets
Disclaimer
This indicator is for educational and informational purposes only. It does not constitute financial advice.
Version History
v1.0 - Initial release with momentum rotation, allocation tables, data validation, and monthly alerts
KJ Sessions (Today Only): Asia/London/US + OverlapKJ Sessions : Asia/London/US + Overlap.
best for people to clearly mark Asia, UK and US opening and closing timing.
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.
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.
StO Price Action - Luminous Daily RoadmapShort Summary
- Luminous Daily Roadmap (LDR) are special trading days
- Marks entire trading days using background coloring
- Creates a clear daily roadmap directly on the chart
- Designed to stay minimal and non-intrusive
Full Description
Overview
- LDR is a proprietary forex trading schedule
- Dates of major trend reversals or significant market continuations
- Highlights full trading days using background colors
- Improves visual structure and day-to-day orientation
- Focuses purely on time segmentation, not price signals
- Suitable for all markets and timeframes
Daily Marking Logic
- Each trading day is visually marked across all its bars
- Background coloring spans the full session of the day
- Works consistently across intraday and higher timeframes
Year Look Back (YLB)
- YLB defines the starting year for day marking
- Markings are only applied from the selected year onward
- Allows focused analysis on recent or specific years
Visualization
- Background color is fully customizable
- Uses high transparency to avoid hiding price action
Usage
- Useful for session-based and daily analysis
- Supports routine-based trading and journaling
- Enhances visual rhythm of the chart
Notes
- This indicator is purely visual and non-predictive
- No alerts or signals are generated
- Best used as a structural overlay for orientation
- Can be combined with any price action or indicator-based workflow
ICT Power of 3 identify the high-probability Power of 3 pattern by analyzing price behavior rather than just specific times of day. It focuses on how the market builds, traps, and then expands.
1. Accumulation (The Setup)
Logic: The script monitors volatility using the Average True Range (ATR). When volatility drops below its recent average, the script recognizes that orders are being "accumulated."
Visual: A Blue Dotted Box appears. This marks the equilibrium zone where buy and sell side liquidity is being engineered above and below the high/low of the range.
2. Manipulation (The Trap)
Logic: The script looks for a "Sweep." This is defined as price moving outside the blue accumulation box but failing to sustain that move. In the video, this is the "Judas Swing" or false breakout.
Visual: A Red Diamond appears above or below the bar. This signals that the script has detected a liquidity grab—essentially, the market has "tricked" breakout traders into the wrong side of the market.
3. Distribution (The Expansion)
Logic: This is identified through Displacement. The script calculates the average candle body size. When a candle appears that is significantly larger (based on your Displacement Multiplier), it confirms that "Smart Money" has entered the market.
Visual: A Green Triangle appears. This marks the start of the distribution phase, which is the "meat" of the move where you want to be positioned.
Look-back Value V1新增 MA10 與 MA120 的計算、繪圖、表格顯示。
新增 table_pos 參數，可選擇表格顯示位置（top_left, top_right, bottom_left, bottom_right）。
所有 table.cell 改用 具名參數 text_color，避免誤判成 width。
這樣你就能靈活選擇表格位置，並同時觀察 MA5、MA10、MA20、MA60、MA120、MA240 的扣抵分析。
Fixed Price Levels with Zones (1000 / 750 / 500 / 250)idywbdiawunadnaw oidnawidnawodnaw wadaw dawd awdaw
Value Area PRO (TPO/Volume Session VAH/VAL/POC) 📌 AP Capital Value Area PRO (TPO / Volume)
AP Capital Value Area PRO is a session-based value area indicator designed for Gold (XAUUSD), NASDAQ (NAS100), and other CFD instruments.
It focuses on where the market has accepted price during the current session and highlights high-probability interaction zones used by professional traders.
Unlike rolling lookback volume profiles, this indicator builds a true session value area and provides actionable signals around VAH, VAL, and POC.
🔹 Core Features
Session-Anchored Value Area
Value Area is built only during the selected session
Resets cleanly at session start
Levels develop during the session and can be extended forward
No repainting or shifting due to lookback changes
TPO or Volume Mode
TPO (Time-at-Price) mode – ideal for CFDs and tick-volume data
Volume mode – uses broker volume if preferred
Same logic, different weighting method
Fixed Price Bin Size
Uses a fixed bin size (e.g. 0.10 for Gold, 0.25–0.50 for NAS100)
Produces cleaner, more realistic VAH/VAL levels
Avoids distorted profiles caused by dynamic bin scaling
VAH / VAL / POC Levels
VAH (Value Area High)
VAL (Value Area Low)
POC (Point of Control) (optional)
Lines can be extended to act as forward reference levels
🔹 Trading Signals & Alerts
Value Re-Entry
Identifies false breakouts where price:
Trades outside value
Then closes back inside
Often seen before strong mean-reversion or continuation moves.
Acceptance
Detects initiative activity using:
Multiple consecutive closes outside value
Filters out weak single-candle breaks
Rejection
Flags strong rejection candles:
Large candle body
Wick outside value
Close back inside the value area
These conditions are especially effective on Gold intraday.
🔹 Optional Profile Histogram
Right-side volume/TPO histogram
Buy/sell imbalance visualization
Fully optional to reduce chart clutter and improve performance
🔹 Best Use Cases
Recommended markets
XAUUSD (Gold)
NAS100 / US100
Other index or metal CFDs
Recommended timeframes
5m, 15m, 30m
Suggested settings
Mode: TPO
Value Area: 70%
Bin size:
Gold: 0.10
NAS100: 0.25 or 0.50
🔹 How Traders Use It
Trade rejections at VAH / VAL
Look for acceptance to confirm trend days
Use re-entries to fade failed breakouts
Combine with trend filters, EMA structure, or session context
⚠️ Disclaimer
This indicator is provided for educational and analytical purposes only and does not constitute financial advice. Always manage risk appropriately.
Week High/LowThis indicator plots the Previous Week High and Low as two horizontal dashed lines.
It is designed to appear only on the Daily (D) and Weekly (W) timeframes, ensuring a clean higher-timeframe context without lower-timeframe noise.
The levels are calculated from the completed weekly candle and automatically update at the start of each new week.
These levels serve as weekly liquidity references, commonly used to assess premium/discount zones, potential stop-run areas, and higher-timeframe market reactions.
Chart This in GoldProduces a historical line chart in the bottom pane to reflect how many units of spot gold (XAU) could be exchanged for one unite of the underlying asset.
