Seasonal Pattern DecoderSeasonal Pattern Decoder
The Seasonal Pattern Decoder is a powerful tool designed for traders and analysts who want to uncover and leverage seasonal tendencies in financial markets. Instead of cluttering your chart with complex visuals, this indicator presents a clean, intuitive table that summarizes historical monthly performance, allowing you to spot recurring patterns at a glance.
How It Works
The indicator fetches historical monthly data for any symbol and calculates the percentage return for each month over a specified number of years. It then organizes this data into a comprehensive table, providing a clear, year-by-year and month-by-month breakdown of performance.
Key Features
Historical Performance Table: Displays monthly returns for up to a user-defined number of years, making it easy to compare performance across different periods.
Color-Coded Heatmap: Each cell is colored based on the performance of the month. Strong positive returns are shaded in green, while strong negative returns are shaded in red, allowing for immediate visual analysis of monthly strength or weakness.
Annual Summary: A "Σ" column shows the total percentage return for each full calendar year.
AVG Row: Calculates and displays the average return for each month across all the years shown in the table.
WR Row: Shows the "Win Rate" for each month, which is the percentage of time that month had a positive return. This is crucial for identifying high-probability seasonal trends.
How to Use
Add the "Seasonal Pattern Decoder" indicator to your chart. Note that it works best on Daily, Weekly, or Monthly timeframes. A warning message will be displayed on intraday charts.
In the indicator settings, adjust the "Lookback Period" to control how many years of historical data you want to analyze.
Use the "Show Years Descending" option to sort the table from the most recent year to the oldest.
The "Heat Range" setting allows you to adjust the sensitivity of the color-coding to fit the volatility of the asset you are analyzing.
This tool is ideal for confirming trading biases, developing seasonal strategies, or simply gaining a deeper understanding of an asset's typical behavior throughout the year.
## Disclaimer
This indicator is designed as a technical analysis tool and should be used in conjunction with other forms of analysis and proper risk management.
Past performance does not guarantee future results, and traders should thoroughly test any strategy before implementing it with real capital.
Statistics
Sector RSI (Auto-Select)This indicator measures the relative strength momentum of any stock against its most closely correlated sector ETF, using the Relative Strength Index (RSI).
Auto sector selection: The script computes correlations between your symbol’s short-term returns and all major SPDR sector ETFs (XLB, XLE, XLF, XLI, XLK, XLP, XLU, XLV, XLY, XTN). The sector with the highest correlation is automatically chosen as the benchmark.
Sector vs Symbol RSI: It calculates RSI (default 14-period) for both the chosen sector and the current chart’s symbol.
Display modes:
Line mode: Plots both RSIs with colored fill (red if the sector RSI is stronger, green if the symbol RSI is stronger).
Histogram mode: Shows the difference between Sector RSI and Symbol RSI as a column chart.
RSI bands: Standard 70/50/30 reference lines are available in line mode.
Status line: The selected sector’s ticker is shown on the TradingView status line so you always know which sector is being used.
Use Cases:
Identify whether a stock’s momentum is driven by its sector or if it’s showing independent relative strength.
Detect sector rotations: when the stock begins to outperform or underperform its sector on momentum basis.
Combine with absolute RSI levels (overbought/oversold) to filter signals.
Notes:
This tool infers sector membership via rolling correlation, not from static classification metadata. This means in some cases (e.g. diversified companies or news shocks) the “best” sector may not be the official one, but the one most correlated in the current market regime.
Use min positive correlation input to filter out weak matches and enforce a fallback (defaults to Technology XLK).
Tomazz.nq – RSI Dynamic DisplayThis script displays the RSI value directly on your chart for quick and efficient market monitoring.
Fully customizable settings : RSI length, overbought/oversold levels, and colors.
Clear color logic : red when RSI is above the overbought threshold, red when below the oversold threshold, green otherwise.
Compact display in the top-right corner keeps your chart clean and focused.
➡️ Perfect for intraday and swing traders who want an at-a-glance RSI reading without opening a separate indicator window.
Advanced Market Structure [OmegaTools]📌 Market Structure
Advanced Market Structure is a next–generation indicator designed to decode price structure in real time by combining classical swing–based analysis with modern quantitative confirmation techniques. Built for traders who demand both precision and adaptability, it provides a robust multi–layered framework to identify structural shifts, trend continuations, and potential reversals across any asset class or timeframe.
Unlike traditional structure indicators that rely solely on visual swing identification, Market Structure introduces an integrated methodology: pivot detection, Donchian trend modeling, statistical confirmation via Z–Score, and volume–based validation. Each element contributes to a comprehensive, systematic representation of the underlying market dynamics.
🔑 Core Features
1. Five Distinct Market Structure Modes
Standard Mode:
Captures structural breaks through classical swing high/low pivots. Ideal for discretionary traders looking for clarity in directional bias.
Confirmed Breakout Mode:
Requires validation beyond the initial pivot break, filtering out noise and reducing false positives.
Donchian Trend HL (High/Low):
Establishes structure based on absolute highs and lows over rolling lookback windows. This approach highlights broader momentum shifts and trend–defining extremes.
Donchian Trend CC (Close/Close):
Similar to HL mode, but calculated using closing prices, enabling more precise bias identification where close–to–close structure carries stronger statistical weight.
Average Mode:
A composite methodology that synthesizes the four models into a weighted signal, producing a balanced structural bias designed to minimize model–specific weaknesses.
2. Dynamic Pivot Recognition with Auto–Updating Levels
Swing highs and lows are automatically detected and plotted with adaptive horizontal levels. These dynamic support/resistance markers continuously extend into the future, ensuring that historically significant levels remain visible and actionable.
3. Color–Adaptive Candlesticks
Price bars are dynamically recolored to reflect the prevailing structural regime: bullish (default blue), bearish (default red), or neutral (gray). This enables instant visual recognition of regime changes without requiring external confirmation.
4. Statistical Reversal Triggers
The script integrates a 21–period Z–Score calculation applied to closing prices, combined with multi–layered volume confirmation (SMA and EMA convergence).
Bullish trigger: Z–Score < –2 with structural confirmation and volume support.
Bearish trigger: Z–Score > +2 with structural confirmation and volume support.
Signals are plotted as diamond markers above or below the bars, identifying potential high–probability reversal setups in real time.
5. Integrated Alpha Backtesting Engine
Each market structure mode is evaluated through a built–in backtesting routine, tracking hit ratios and consistency across the most recent ~2000 structural events.
Performance metrics (“Alpha”) are displayed directly on–chart via a dedicated Performance Dashboard Table, allowing side–by–side comparison of Standard, Confirmed Breakout, Donchian HL, Donchian CC, and Average models.
Traders can instantly evaluate which structural methodology best adapts to the current market conditions.
🎯 Practical Advantages
Systematic Clarity: Eliminates subjectivity in defining structural bias, offering a rules–based framework.
Statistical Transparency: Built–in performance metrics validate each mode in real time, allowing informed decision–making.
Noise Reduction: Confirmed Breakouts and Donchian modes filter out common traps in structural trading.
Multi–Asset Adaptability: Optimized for scalping, intraday, swing, and multi–day strategies across FX, equities, futures, commodities, and crypto.
Complementary Usage: Works as a stand–alone structure identifier or as a quantitative filter in larger algorithmic/trading frameworks.
⚙️ Ideal Users
Discretionary traders seeking an objective reference for structural bias.
Quantitative/systematic traders requiring on–chart statistical validation of structural regimes.
Technical analysts leveraging pivots, Donchian channels, and price action as part of broader frameworks.
Portfolio traders integrating structure into multi–factor models.
💡 Why This Tool?
Market Structure is not a static indicator — it is an adaptive framework. By merging classical pivot theory with Donchian–style momentum analysis, and reinforcing both with statistical backtesting and volume confirmation, it provides traders with a unique ability:
To see the structure,
To measure its reliability,
And to act with confidence on quantifiably validated signals.
BDH Multi‑Timeframe Dashboard 📊 BDH Multi-Timeframe Dashboard (4H, D, W, M)
The Buy Don’t Hold (BDH) Screener is inspired by the book Buy—Don’t Hold by Leslie N. Masonson. It is designed to rotate into the strongest ETFs during bullish phases while stepping aside in weak markets.
✅ How It Works
The screener evaluates three filters across multiple timeframes (4H, Daily, Weekly, Monthly):
Price > 100-DMA
Price Rising (close > lookback)
MACD > Signal
Each timeframe earns a PASS if at least 2 out of 3 conditions are met.
🖥️ Features
Multi-timeframe dashboard table with green/red checks
🚀 Strategy Application
Scan for ETFs with multi-timeframe PASS signals
Buy the strongest performers
Rotate out when an ETF falls out of strength ranking
This rotation method is designed to historically outperform passive SPY holding by maintaining exposure only to strong, trending ETFs
📌 ETFs Watchlist (copy-paste ready)
Use this watch list for screening :
ARKF, ARKG, ARKK, ARKQ, ARKW, ASHR, BATT, BLCN, BLOK, CLOU, CQQQ, EEM, EMQQ, ESPO, HACK, IBUY, ICVT, IWM, IZRL, KWEB, MDY, OGIG, PBW, PRNT, QCLN, QQQ, REMX, SMH, SOCL, SPY, TAN, TLT, URA, VB, XBI, XHB, XLC, XLE, XLF, XLY, XOP, XRT
✨ With this dashboard, traders can quickly identify ETFs that meet the BDH conditions across multiple timeframes, helping them follow a disciplined rotation strategy.
随机检验–波动率切换策略(表格版)随机检验 – 波动率切换策略（表格版）
模型原理
本指标基于统计学与波动率研究方法，结合多周期（15m / 1h / 4h）的市场数据，构建出一个“趋势-震荡”状态切换的分析框架。
核心思想：
通过 成交量加权的随机检验（coin test） 判断趋势方向及强弱；
使用 布林带带宽（Bandwidth）与方差比率（Variance Ratio） 识别波动收敛与扩张；
引入 贝叶斯统计（Beta 后验分布） 构造上涨概率背景，并对冲单一频段噪声；
在 布林视角与箱体视角 下生成右侧概率评分，最终融合多源概率形成市场状态评估。
关键假设
市场价格在短期内可视为“抛硬币检验”的结果，上涨/下跌概率并非完全均等，而是受成交量加权影响；
波动率在收敛后往往伴随趋势突破，布林带带宽可作为先行指标；
1h 周期的贝叶斯后验概率能够提供稳健的背景多空倾向；
多周期之间的关系符合“主判（1h）→承接（4h/15m）”的层级逻辑。
输出与功能
在图表右侧显示表格化仪表盘：
趋势状态（1h / 15m / 4h）
布林/箱体区间与收敛信号
各视角下的概率评分与融合结果
贝叶斯多空概率与后验分布摘要（E、SD、有效样本量）
同时绘制 1h 布林带，直观观察波动结构。
使用说明
该指标为 辅助决策工具，不直接生成交易信号。用户应结合自身策略和风险控制使用。
该版本为公开的测试版本。
Randomized Test – Volatility Switching Strategy (Dashboard Version)
Model Principle
This indicator is built on statistical and volatility analysis methods, combining multi-timeframe market data (15m / 1h / 4h) to construct a framework for switching between “trend” and “range” states.
Core ideas:
Use a volume-weighted randomized test (coin test) to determine trend direction and strength;
Apply Bollinger Bandwidth (BW) and Variance Ratio (VR) to detect volatility contraction and expansion;
Introduce Bayesian statistics (Beta posterior distribution) to build the bullish probability background and reduce single-frequency noise;
Generate right-side probability scores under both Bollinger view and Box view, and fuse them into a comprehensive market state evaluation.
Key Assumptions
In the short term, market prices can be modeled as outcomes of a “coin test,” where up/down probabilities are not perfectly equal but weighted by volume;
After volatility contraction, markets often break into trends, and Bollinger Bandwidth serves as a leading indicator;
The 1h Bayesian posterior probability provides a stable background bias for bullish/bearish tendencies;
Multi-timeframe relationships follow a hierarchical logic: main judgment (1h) → confirmation (4h/15m).
Outputs and Features
A dashboard-style table displayed on the right side of the chart, including:
Trend states (1h / 15m / 4h)
Bollinger/Box ranges and convergence signals
Probability scores and fusion results from different perspectives
Bayesian bullish probability and posterior summary (E, SD, effective sample size)
Visualization of the 1h Bollinger Bands for direct observation of volatility structure.
Usage
This indicator is an auxiliary decision-making tool. It does not generate trading signals directly. Users should apply it in combination with their own strategies and risk management.
This version is released as a public test version.
Uptrick: ATR ModelIntroduction
The Uptrick: ATR Model is a multi-regime directional tool designed to adapt to various trading styles and timeframes. It combines trend assessment, market state evaluation, visual overlays, and signal filtering into a single, highly configurable system. This indicator is intended to help traders interpret directional conditions, structure their entries and exits, and view real-time shifts in market context, all without relying on external scripts or multiple chart layers.
Core Functionality
At its foundation, the Uptrick: ATR Model builds a framework that responds to user-defined structure and market behavior. Through a wide range of inputs, traders can adjust the internal responsiveness, signal frequency, and volatility interaction of the system. The core behavior of the model can be shaped via:
Custom starting date for signal activation
Flexible smoothing structure
Adjustable expansion control for range boundaries
Signal persistence settings to limit noise
Conditional plotting of directional signals
Real-time bar coloring and overlays
Custom routing between long, short, and neutral positioning
This indicator is not tied to a single interpretation of market movement. Instead, it adapts to how the user defines structural behavior, volatility confirmation, and trend alignment.
Multi-Regime Architecture
The script includes four unique operating regimes, each offering a distinct model of interpreting market conditions:
Trend Mode
This regime focuses on trend state transitions over time. Signal behavior is aligned with directional market shifts and transitions are plotted with visual labels. Optional filters and persistence settings help control signal quality and responsiveness.
Cloud Close Mode
Cloud Close mode detects transitions when price interacts with dynamic boundaries. Signals are generated when the asset moves in or out of these ranges. This regime supports state memory to avoid repeated signals and emphasizes confirmation over reactivity.
Lightning Trend Mode
This mode evaluates momentum alignment across selected structures. Its behavior is based on composite assessments and dynamically reflects changes in directional agreement. This regime is well-suited for intraday or high-resolution users seeking visual confirmation of trend shifts.
Final Verdict Mode
A meta-regime that combines the output of the other three modes into a single directional consensus. A live decision table is displayed on-screen, showing the current verdict of each regime and a final, averaged output. This mode is designed for high-conviction or conservative traders who prefer confirmation across multiple systems.
Each regime can be enabled through a single selector, and the indicator adapts its signal behavior and bar coloring to reflect the active mode.
Signal System and Visual Feedback
The indicator generates Long, Short, or Cash (neutral/exit) signals depending on the active regime, directional configuration, and filter conditions. Signal shapes are plotted only once per state transition and are color-coded for clarity.
Users can define:
Whether signals should support both long and short, or long-only
Whether repeated signals are allowed (pyramiding control)
Whether to enforce a minimum number of confirming bars before a signal is allowed (persistence)
Signals are accompanied by real-time bar coloring, giving users an instant visual cue of the current state without relying on shape markers alone. These signals adjust based on the selected regime and are subject to any active confirmation filters.
Confirmation Filters
To reduce noise and improve the relevance of each signal, the model includes two optional filters:
Strength Filter
[Applies a condition based on the asset’s momentum. When enabled, signals will only fire if this condition aligns with the trade direction. Includes parameters for sensitivity and smoothness.
Trend Filter
Applies a directional filter based on a broader trend context. Signals will only trigger when this larger structure supports the directional bias. This filter is useful for avoiding signals during counter-trend moves or consolidations.
Both filters can be toggled independently. When disabled, the model will operate with fewer restrictions.
Dynamic Structure Customization
Users can control how the internal structure of the model behaves using:
Source selection (e.g., close, open, high, etc.)
Smoothing configuration using a tiered structure with up to three stages
Custom length inputs to adjust responsiveness
Selectable method options for each layer
Expansion settings to adjust the distance of dynamic boundaries
Signal persistence threshold to delay entries until confirmation is met
This modular control allows traders to define whether they want faster reaction to movement or more conservative, delayed responses depending on their strategy.
Final Verdict Table
The Final Verdict table is a live display that summarizes the signal output of the three core regimes (Trend, Cloud Close, and Lightning Trend). It includes:
Regime names and their current directional state
Directional scores for each regime
A final averaged score and directional label
The table is updated every bar and is fully customizable:
Position on screen (top left, center, bottom right, etc.)
Text size for readability
Color-coded state labels for fast interpretation
This feature is designed to offer structured decision support by showing consensus or divergence across all logic models in real time.
Static Levels Module
An optional module allows the user to anchor a high point (typically an all-time high) from a user-defined historical date. From that anchor, multiple levels are projected downward using fixed ratios. These levels are:
Automatically updated when new highs occur
Visualized using horizontal step-lines
Fully customizable in terms of count, color, and source
These levels serve as contextual guides and can assist with price projection, risk management, or discretionary confluence zones.
Directional Control
The model supports both Long & Short and Long Only signal modes. In Long Only mode, exit signals are routed to neutral (Cash) instead of Short. This allows users to align the indicator with personal strategy, risk appetite, or portfolio rules. Neutral signals are also plotted with distinct labels and coloring to indicate a directional reset.
Input Summary
All components of the script are user-configurable through the following inputs:
Start date selector to restrict signal generation
Source selection for core price input
Custom lengths and responsiveness settings
Smoothing structure with optional stacking
Expansion control for range width
Signal persistence threshold
Signal type selector (long-only or long & short)
Regime selector between four logic systems
Filters: strength-based and trend-based
Verdict table display settings (position and size)
Static levels: anchor date, count, source, and visual customization
Originality
What sets the Uptrick: ATR Model apart is its integration of multiple directional systems into a single, configurable interface. Each regime is distinct and interprets market behavior from a unique perspective, while the Final Verdict mode offers a consolidated view that few tools provide in a fully visual and non-redundant format. The Lightning Trend scoring engine and modular structural design offer a level of control and flexibility uncommon in single-layer indicators. The combination of signal gating, decision tables, and state tracking creates a cohesive, structured environment for directional evaluation.
Summary
The Uptrick: ATR Model is a complete directional and volatility analysis system designed for customizable trend evaluation, signal clarity, and strategic filtering. It adapts to different trader needs through its configurable regimes, state-aware signals, dynamic overlays, and visual decision tools. It is suitable for discretionary traders seeking structured guidance, as well as systematic users who require configurable state management and signal control.
Disclaimer
This tool is provided for informational and research purposes only. It does not constitute investment advice or a recommendation to buy or sell any financial instrument. All trading involves risk, and past performance does not guarantee future results. Users are solely responsible for their own decisions.
Z-Score Trend Channels [BackQuant]Z-Score Trend Channels
A self-contained price-statistics framework that turns a rolling z-score into price channels, bias states, and trade markers. Run either trend-following or mean-reversion from the same tool with clear, on-chart context.
What it is
A rolling statistical map that measures how far price is from its recent average in standard-deviation units (z-score).
Adaptive channels drawn in price space from fixed z thresholds, so the rails breathe with volatility.
A simple trend proxy from z-score momentum to separate trending from ranging conditions.
On-chart signals for pullback entries, stretched extremes, and practical exits.
Core idea (plain English math)
Rolling mean and volatility - Over a lookback you get the average price and its standard deviation.
Z-score - How many standard deviations the current price is above or below its average: z = (price - mean) / stdev. z near 0 means near average; positive is above; negative is below.
Noise control - An EMA smooths the raw z to reduce jitter and false flickers.
Channels back in price - Fixed z levels are converted back to price to form the upper, lower, and extreme rails.
Trend proxy - A smoothed change in z is used as a lightweight trend-strength line. Positive strength with positive z favors uptrend; negative strength with negative z favors downtrend.
What you see on the chart
Channels and fills - Mean, upper, lower, and optional extreme lines. The area mean->upper tints with the bearish color, mean->lower tints with the bullish color.
Background tint (optional) - Soft green, red, or neutral based on detected trend state.
Signals - Bullish Entry (triangle up) when z exits the oversold zone upward; Bearish Entry (triangle down) when z exits the overbought zone downward; Extreme markers (diamonds) at the extreme bands with a one-bar turn.
Table - Current z, trend state, trend strength, distance to bands, market state tag, and a quick volatility regime label.
Edge labels - MEAN, OB, and OS labels slightly projected forward with level values.
Inputs you will actually use
Z-Score Period - Lookback for mean and stdev. Larger = slower and steadier rails, smaller = more reactive.
Smoothing Period - EMA on z. Lower = earlier but choppier flips; higher = later but cleaner.
Price Source - Default hlc3. Choose close if you prefer session-close logic.
Upper and Lower Thresholds - Default around +2.0 and -2.0. Tighten for more signals, widen for fewer and stronger.
Extreme Upper and Lower - Deeper stretch guards, e.g., +/- 2.5.
Strength Period - EMA on z momentum. Sets how fast the trend proxy flips.
Trend Threshold - Minimum absolute z to accept a directional bias.
Visual toggles - Channels, signals, background tint, stats table, colors, and optional last-bar trend label.
How to use it: trend-following playbook
Read the state - Uptrend when z > Trend Threshold and trend strength > 0. Downtrend when z < -Trend Threshold and trend strength < 0. Neutral otherwise.
Entries - In an uptrend, prefer Bullish Entry signals that fire near the lower channel. In a downtrend, prefer Bearish Entry signals that fire near the upper channel.
Stops - Conservative: beyond the extreme channel on your side. Tighter: just outside the standard band that framed the signal.
Exits - For longs, exit or trim on a cross back through z = 0 or a clean tag of the upper threshold. For shorts, mirror with z = 0 up-cross or tag of the lower threshold. You can also reduce if trend strength flips against you.
Adds - In strong trends, additional signals near your side’s band can be add points. Avoid adding once z hovers near the opposite band for several bars.
How to use it: mean-reversion playbook
Find stretch - Standard reversions: Bullish Entry when z leaves the oversold zone upward; Bearish Entry when z leaves the overbought zone downward. Aggressive reversions: Extreme markers at extreme bands with a one-bar turn.
Entries - Take the signal as price exits the zone. Prefer setups where trend strength is near zero or tilting against the prior push.
Targets - First target is the mean line. A runner can aim for the opposite standard channel if momentum keeps flipping.
Stops - Outside the extreme band beyond your entry. If fading without extremes, place risk just beyond the opposite standard band.
Filters - Optional: skip counter-trend fades against a very strong trend state unless your risk is tight and predefined.
Reading the stats table
Current Z-Score - Magnitude and sign of displacement now.
Trend State - Uptrend, Downtrend, or Ranging.
Trend Strength - Smoothed z momentum. Higher absolute values imply stronger directional conviction.
Distance to Upper/Lower - Percent distance from price to each band, useful for sizing targets or judging room left.
Market State - Overbought, Oversold, Extreme OB, Extreme OS, or Normal.
Volatility Regime - High, Normal, or Low relative to recent distribution. Expect bands to widen in High and tighten in Low.
Parameter guidance (conceptual)
Z-Score Period - Choose longer for a structural mean, shorter for a reactive mean.
Smoothing Period - Lower for earlier but noisier reads; higher for slower but steadier reads.
Thresholds - Start around +/- 2.0. Tighten for scalping or quiet ranges. Widen for noisy or fast markets.
Trend Threshold and Strength Period - Raise to avoid weak, transient bias. Lower to capture earlier regime shifts.
Practical examples
Trend pullback long - State shows Uptrend. Price tests the lower channel; z dips near or below the lower threshold; a Bullish Entry prints. Stop just below extreme lower; first target mean; keep a runner if trend strength stays positive.
Mean-revert short - State is Ranging. z tags the extreme upper, an Extreme Bearish marker prints, then a Bearish Entry prints on the leave. Stop above extreme upper; target the mean; consider a runner toward the lower channel if strength turns negative.
Potential Questions you might have
Why z-score instead of fixed offsets - Because the bands adapt with volatility. When the tape gets quiet the rails tighten, when it runs hot the rails expand. Your entries stay normalized.
Do I need both modes - No. Many users run only trend pullbacks or only mean-reversions. The tool lets you toggle what you need and keep the chart readable.
Multi-timeframe workflow - A common approach is to set bias from a higher timeframe’s trend state and execute on a lower timeframe’s signals that align with it.
Summary
Z-Score Trend Channels gives you an adaptive mean, volatility-aware rails, a simple trend lens, and clear signals. Trade the trend by buying pullbacks in green and selling pullbacks in red, or fade stretched extremes back to the mean with defined risk. One framework, two strategies, consistent logic.
Week Start/End Bar CoordinatesGive the Bar Index for the First and Last of the Week,
input the coordinates directly into the Fixed Range Volume Profile
AKB - Aggressive ParticipationAggressive Participation - This indicator is made to allow traders identify which side (Bulls or Bears) is controlling the market at a specific time.
ORB Storico + Box Multipli + Notifiche (final clean v2)Session ORB Live Pro — Pre-Market Boxes & MA Suite
Description (EN):
Session ORB Live Pro is a Pine v6 indicator built for intraday traders who rely on Opening Range Breakouts. It draws session boxes for London, New York, and Asia—plus configurable Pre-London and Pre-New York windows—live from the very first candle (no waiting for 10 bars). The high/low levels update in real time, and optional breakout alerts fire the moment price closes beyond the range. To keep charts clean and relevant for scalping, the boxes auto-hide on chart timeframes above 20 minutes.
Beyond ranges, the tool adds a compact moving-average suite: SMA-50 and RMA-200 out of the box, plus three fully customizable MAs (SMA/EMA/RMA/WMA/HMA) with selectable color, thickness, and style (line, stepline, circles). Each session and pre-session can be toggled on/off and tinted with its own color, so you can tailor the visual map of liquidity grabs and range breaks to your strategy.
Key features
Live ORB boxes for London, New York, Asia (no 10-bar delay).
Pre-sessions: Pre-London & Pre-New York with independent time windows and colors.
Auto visibility filter: boxes show only on ≤ 20m chart TF; hidden on higher TFs.
Breakout alerts when price closes above/below the session range (ready for alert() rules).
MA toolkit: SMA-50, RMA-200 + 3 user MAs (SMA/EMA/RMA/WMA/HMA) with color, style, and width.
Clean inputs using input.session; robust, low-friction UX.
How to use
Set your ORB calculation timeframe (e.g., 15m) and choose which sessions/pre-sessions to display.
Pick colors for each box and enable alerts if you want instant breakout notifications.
Configure the MA suite for trend bias and dynamic S/R (e.g., SMA-50 for momentum, RMA-200 for bias).
Trade the first clean break or the retest of the ORB extremes—your choice. The visual map updates tick by tick.
NOK Basket (Equal-Weighted)Measures the Norwegian crown's relative value to a basket of other currencies: EUR, USD, GBP, SEK AND DKK.
Global M2 Money SupplyThis indicator calculates and plots an aggregated estimate of the Global M2 money supply, expressed in U.S. dollar terms. It combines M2 data from major economies and regions—including the U.S., Eurozone, Canada, the U.K., Switzerland, China, Japan, India, Brazil, and others—and adjusts each by its respective FX rate to USD. By summing these series, the script provides a broad view of worldwide liquidity conditions in one line.
A user-defined offset in days allows you to shift the global M2 line forward or backward, making it easier to visually compare liquidity trends against asset prices such as Bitcoin, gold, or equities. This tool is designed for traders and macro observers who want to study how global money supply growth or contraction correlates with financial markets over time.
이 지표는 전 세계 주요 국가와 지역의 M2 통화량을 달러 기준으로 합산하여 글로벌 유동성 지표로 보여줍니다. 미국, 유로존, 캐나다, 영국, 스위스, 중국, 일본, 인도, 브라질 등 여러 지역의 M2 데이터를 각 통화의 환율(USD 환산)로 조정한 뒤 합산해 하나의 흐름으로 표현합니다. 이를 통해 글로벌 차원의 통화 공급 변화를 한눈에 파악할 수 있습니다.
또한 사용자가 지정한 일 단위 오프셋 기능을 통해 글로벌 M2 라인을 앞뒤로 이동시켜, 비트코인·금·주식 등 다양한 자산 가격과의 시차적 관계를 직관적으로 비교할 수 있습니다. 거시경제 환경과 자산시장 간의 상관성을 연구하거나 시장 유동성 추이를 모니터링하려는 투자자에게 유용한 도구입니다.
Gold Lagging (N days)This indicator overlays the price of gold (XAUUSD) on any chart with a customizable lag in days. You can choose the price source (open, high, low, close, hlc3, ohlc4), shift the series by a set number of daily bars, and optionally normalize the values so that the first visible bar equals 100. The original gold line can also be displayed alongside the lagged series for direct comparison.
It is especially useful for analyzing delayed correlations between gold and other assets, observing shifts in safe-haven demand, or testing hypotheses about lagging market reactions. Since the lag is calculated on daily data, it remains consistent even if applied on intraday charts, while the indicator itself can be plotted on a separate price scale for clarity.
이 지표는 금(XAUUSD) 가격을 원하는 차트 위에 N일 지연된 형태로 표시합니다. 가격 소스(시가, 고가, 저가, 종가, hlc3, ohlc4)를 선택할 수 있으며, 지정한 일 수만큼 시리즈를 뒤로 이동시킬 수 있습니다. 또한 첫 값 기준으로 100에 맞춰 정규화하거나, 원래 금 가격선을 함께 표시해 비교할 수도 있습니다.
금과 다른 자산 간의 지연 상관관계를 분석하거나 안전자산 수요 변화를 관찰할 때 유용하며, 시장 반응의 시차 효과를 검증하는 데에도 활용할 수 있습니다. 지연은 일봉 데이터 기준으로 계산되므로 단기 차트에 적용해도 일 단위 기준이 유지되며, 별도의 가격 스케일에 표시되어 가독성을 높일 수 있습니다.
Session Volume Profile HVN210
Session Volume Profile HVN - Comprehensive Indicator Description
Overview
The Session Volume Profile HVN is an advanced volume analysis indicator that provides traders with a visual representation of volume distribution across price levels within defined trading sessions. This powerful tool combines traditional volume profile analysis with High Volume Node (HVN) detection and Volume Point of Control (VPOC) tracking to help identify key support and resistance areas based on trading activity.
Key Features
1. Dynamic Volume Profile Visualization
Creates a comprehensive volume profile for each trading session (daily, weekly, or custom timeframes)
Displays volume distribution as a horizontal histogram, showing where the most trading activity occurred
Automatically scales to fit the price range of each session
Customizable number of price levels (rows) for granular or broad analysis
Profile extension capability to project volume areas into subsequent sessions
2. Volume Point of Control (VPOC)
Automatically identifies and marks the price level with the highest volume in each session
Displays VPOC as a prominent horizontal line that can extend into future sessions
Tracks multiple historical VPOCs with customizable extension limits
Optional date labels for easy identification of when each VPOC was formed
Particularly useful for identifying potential support/resistance levels based on peak trading activity
3. High Volume Node (HVN) Detection
Sophisticated algorithm that identifies significant volume clusters within the profile
Validates HVNs based on customizable strength criteria
Two display options:
Levels: Shows HVNs as horizontal lines (solid for VPOC, dotted for other nodes)
Areas: Displays HVNs as shaded boxes covering the full price range of the node
Color-coded based on price position relative to previous close:
Bullish color for HVNs below the previous close (potential support)
Bearish color for HVNs above the previous close (potential resistance)
4. Multi-Timeframe Analysis
Profile Timeframe: Defines the session boundaries (e.g., daily, weekly, monthly)
Resolution Timeframe: Uses lower timeframe data for more accurate volume distribution
Automatically adjusts to ensure compatibility with chart timeframe
Enables precise volume analysis even on higher timeframe charts
Practical Applications
Support and Resistance Identification
VPOCs and HVNs often act as significant support/resistance levels
Multiple confluent HVNs can indicate strong price zones
Historical VPOC levels provide context for potential price reactions
Trading Strategy Development
Entry/exit points near HVN boundaries
Stop loss placement beyond significant volume nodes
Trend continuation or reversal signals when price breaks through HVN areas
Market Structure Analysis
Identify accumulation/distribution zones
Recognize price acceptance or rejection at specific levels
Understand market participant behavior through volume concentration
Customization Options
Visual Settings
Adjustable colors for profile, VPOC lines, and HVN areas
Line width controls for better visibility
Label size options from tiny to huge
Profile transparency for chart clarity
Technical Parameters
Number of price levels (rows) for profile resolution
HVN detection strength for sensitivity adjustment
VPOC extension count for historical reference
Profile extension percentage for future projection
Display Preferences
Toggle VPOC visibility
Enable/disable HVN display
Choose between line or area representation for HVNs
Control date label display based on timeframe
Best Practices
Timeframe Selection: Choose profile timeframes that align with your trading style (day traders might use hourly profiles, swing traders daily or weekly)
HVN Strength Calibration: Adjust the HVN strength parameter based on market volatility and desired sensitivity
Multiple Timeframe Confirmation: Use different profile timeframes to identify confluence zones
Combination with Other Indicators: Enhance analysis by combining with trend indicators, momentum oscillators, or price action patterns
Performance Considerations
The indicator is optimized for smooth performance while maintaining accuracy through:
Efficient data processing algorithms
Smart memory management for historical data
Automatic cleanup of old visual elements
Scalable architecture supporting up to 500 visual elements
Ideal For
Day Traders: Identifying intraday support/resistance levels
Swing Traders: Finding multi-day accumulation zones
Position Traders: Analyzing longer-term volume structures
Market Analysts: Understanding market participant behavior
Algorithmic Traders: Incorporating volume-based levels into automated strategies
SSMT & PSP- Made this one public so that people can search for it and get it without link
- Same code used in the private one
- Credits to VX, Fruits and Solidarity for allowing me to make this <3
CAD DataThis indicator provides all of the data required to use the Context Analysis Dashboard (CAD) for live trading.
Morning Peak FadeMorning Peak Fade is an intraday analysis tool that identifies and measures the probability of early session rallies turning into sharp pullbacks.
📊 Core Idea
• Many stocks surge after the open, reaching an intraday peak before fading lower.
• This script anchors at the first significant morning high and tracks the drawdowns that follow within a customizable time window.
• It provides:
• Probability of a fade after the peak
• Average and maximum drawdown statistics
• Event-day hit rate (how often such setups occur)
🎯 Use Cases
• Spot potential “fade setups” where early enthusiasm exhausts quickly.
• Quantify how often chasing the morning high turns into a losing trade.
• Backtest opening range failure or fade strategies with hard data.
⚙️ Features
• Customizable thresholds for the initial surge (relative to prior close).
• Marks the peak (max) and subsequent low (min) used in calculations.
• Draws a reference line at the surge threshold to visualize when the fade triggers.
• Outputs summary stats directly on the chart.
Premarket Power MovePremarket Power Move is an intraday research tool that tracks what happens after strong premarket or opening gaps.
📊 Core Idea
• When a stock opens +X% above the prior close, it often attracts momentum traders.
• This script measures whether the stock continues to follow through higher or instead fades back down within the first trading hour.
• It calculates:
• The probability of a post-gap rally vs. a drawdown
• Average and maximum retracements after the surge
• Event-day hit rate (how many days actually triggered the condition)
🎯 Use Cases
• Identify “gap-and-go” opportunities where strong premarket strength leads to further gains.
• Spot potential fade setups where early enthusiasm quickly reverses.
• Backtest your intraday strategies with objective statistics instead of gut feeling.
⚙️ Features
• Customizable thresholds for premarket/open surge (%) and follow-through window (minutes).
• Marks the chart with reference lines:
• Prior close
• Surge threshold (e.g. +6%)
• Intraday high/low used for probability calculations.
• Outputs summary statistics (probabilities, averages, counts) directly on the chart.
🔔 Note
This is not a buy/sell signal generator. It is a probability and behavior analysis tool that helps traders understand how often strong premarket gaps continue vs. fade.
Yasser Multiple Inside Bar Breakout SignalsDescription
Yasser Multiple Inside Bar Breakout Signals (Yasser_MIB) is a powerful TradingView indicator designed to detect high-probability breakout setups based on multiple inside bar (MIB) formations. Inside bar breakouts often precede strong market moves, making this tool ideal for traders who rely on price action, volatility compression, and breakout trading strategies.
🔑 Key Features:
✅ Automatic MIB Detection – Identifies and counts consecutive inside bars.
✅ Breakout Signals – Generates BUY/SELL signals upon valid breakout of the mother bar.
✅ Custom Risk:Reward Settings – Adjustable risk-to-reward ratio with built-in Stop Loss (SL) and Take Profit (TP) levels.
✅ ATR-based Stop Loss (Optional) – Dynamic volatility-based risk management.
✅ Trend Filter – Optional EMA filter to trade only in the trend direction.
✅ Visual Clarity – Mother bar levels, inside bar marks, entry/SL/TP lines, and breakout highlights.
✅ Alerts Ready – Receive instant alerts for MIB setups and breakouts.
This indicator is suitable for Forex, Stocks, Indices, Commodities, and Crypto markets across multiple timeframes. Whether you are a trend trader or a breakout trader, Yasser_MIB provides a structured approach to capture explosive market moves with disciplined risk management.
📂 Categories
Indicators
Technical Analysis
Price Action
Breakout Strategies
Risk Management
🏷 Tags
inside bar
multiple inside bar
MIB breakout
price action
mother bar
breakout strategy
trend filter
EMA filter
ATR stop loss
risk reward
forex trading
crypto trading
stocks
commodities
indices
Yasser indicators
Z-AxisZ-Axis is a new and unique indicator that can visualize volume. This indicator is all the stuff I used to do manually on charts. It shows where individual big bags of money are. It flags statistically significant volume by making a ray, higher volume will be different colors. Same color scheme as fire - white hot.
Some people try to wonder what the "market maker" thinks or where did they buy. I personally think of the elusive "market maker" like a school of fish moving together. Squeeze the timeframe down to 1 minute, and you see all the fish that think the same way.
Purple means that candle is in the top 7 standard deviations, or 7x.
Red is 10x
Orange is 15x
Yellow is 20x
White is 25x, and triggers an AVWAP.
25 Standard deviations is 99% followed by "9" for 137 decimal spaces... and it still triggers. ye ha.
Once price has moved 2% against the opening of the candle, it's dimmed/liquidated. When this happens, that means that anyone who bought at that candle open at 50x leverage, they are now a ghost.
Price is often drawn to "liquidity wells", visualized here as the black space between pivots.
Weekly Volume ChangeWeekly Volume Change %
See weekly volume trends at a glance! This indicator shows current vs. previous week’s volume, calculates percent change, and highlights increases (green) or decreases (red). Features customizable look-back weeks and table color for easy visualization.
