Multi-EMA Slope DashboardThis script provides a comprehensive dashboard displayed directly on the chart, allowing you to analyze the underlying trend using 8 Exponential Moving Averages (EMA) ranging from period 20 to 55.
Unlike classic indicators that simply check if the price is above or below the EMA, this tool analyzes the slope of each moving average to determine the true market dynamics.
The indicator calculates the status of 8 distinct EMAs (20, 25, 30, 35, 40, 45, 50, 55). For each EMA, the script determines the direction using the following logic:
Slope Calculation: It compares the current EMA value with its value 3 bars ago (variable nb_bougies).
Neutrality Threshold: To avoid false signals in ranging (flat) markets, a neutrality filter is applied (0.01% of the EMA value).
Dashboard Interpretation
The table is located at the top right of your screen and displays three columns:
EMA: The moving average period (e.g., 20, 55).
State:
H (Hausse / Up): The slope is positive and above the threshold.
B (Baisse / Down): The slope is negative and below the negative threshold.
N (Neutre / Neutral): The slope is weak, indicating no clear trend.
COL (Color): Quick visual indicator.
🔵 Blue: Bullish trend.
🟠 Orange: Bearish trend.
⚪ Gray: Neutral Trend / Ranging.
Trading Usage
Trend Confirmation: Use the "Totaux" (Totals) counter at the bottom of the table. If you see 8/8 H (Blue), the bullish trend is strong and aligned across all timeframes (short and medium term).
Reversal Detection: If fast EMAs (20, 25) turn Orange (B) while slow ones (50, 55) are still Blue (H), this may signal the beginning of a correction or a trend reversal.
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DeM Trend Bias Strength with Alerts (RB Trading)This tool is built to help users understand trend direction, exhaustion, and momentum shifts on the daily timeframe. It highlights when a market is transitioning from weakness to strength or strength to weakness by displaying color-coded bias bars. The script does not forecast future outcomes and should be used as an analytical aid.
Intended Usage
• Timeframe: Daily
• Instruments: Works on most FX pairs and liquid markets
• Style: Trend and bias evaluation
• Purpose: Identify early signs of momentum recovery within ongoing trends
How It Works
Bias Rotation Engine
The script measures directional pressure and smooths it into a bar display that changes color as conditions shift.
• Green bars show rising strength conditions
• Red bars show declining strength conditions
• Transitional periods often appear near market turning points and consolidation zones
This helps users visually separate healthy directional trends from weakening phases.
Trend Alignment Filter
The bars are designed to be interpreted alongside moving averages or broader trend tools. When the bars turn higher while price respects an upward structure, it often supports continuation themes. When the bars weaken during downward phases, it highlights potential areas where the trend retains control.
Identifying Exhaustion and Recovery
Repeated cycles in the bar display can highlight areas where:
• Downside pressure is fading before an upswing
• Upside pressure is fading before a pullback
• Consolidation is forming before a breakout
These transitions tend to align with moments shown in the image where the arrows mark bias shifts occurring before price acceleration.
How to Use It
• Wait for a clear color rotation before making any decisions
• Confirm with the daily trend and price structure
• Avoid using the tool by itself for entries
• Combine with support and resistance, moving averages, and candle structure
• Not intended for scalping or intraday signals
Why Daily Chart Works Best
The daily timeframe smooths out noise and gives the strength bars enough data to reveal genuine trend transitions. Higher timeframes also reduce false rotations that are common in lower timeframes.
Notes
The script does not predict or guarantee price movement. It processes historical inputs to help the user understand directional conditions. Each trader should apply their own risk plan and confirm levels before acting on any idea.
Stochastic RSI Forecast [QuantAlgo]🟢 Overview
The Stochastic RSI Forecast extends the classic momentum oscillator by projecting potential future K and D line values up to 10 bars ahead. Unlike traditional indicators that only reflect historical price action, this indicator uses three proprietary forecasting models, each operating on different market data inputs (price structure, volume metrics, or linear trend), to explore potential price paths. This unique approach allows traders to form probabilistic expectations about future momentum states and incorporate these projections into both discretionary and algorithmic trading and/or analysis.
🟢 How It Works
The indicator operates through a multi-stage calculation process that extends the RSI-to-Stochastic chain forward in time. First, it generates potential future price values using one of three selectable forecasting methods, each analyzing different market dimensions (structure, volume, or trend). These projected prices are then processed through an iterative RSI calculation that maintains continuity with historical gain/loss averages, producing forecasted RSI values. Finally, the system applies the full stochastic transformation (calculating the position of each forecasted RSI within its range, smoothing with K and D periods) to project potential future oscillator values.
The forecasting models adapt to market conditions by analyzing configurable lookback periods and recalculating projections on every bar update. The implementation preserves the mathematical properties of the underlying RSI calculation while extrapolating momentum trajectories, creating visual continuity between historical and forecasted values displayed as semi-transparent dashed lines extending beyond the current bar.
🟢 Key Features
1. Market Structure Model
This algorithm applies price action analysis by tracking break of structure (BOS) and change of character (CHoCH) patterns to identify potential order flow direction. The system detects swing highs and lows using configurable pivot lengths, then analyzes sequences of higher highs or lower lows to determine bullish or bearish structure bias. When price approaches recent swing points, the forecast projects moves in alignment with the established structure, scaled by ATR (Average True Range) for volatility adjustment.
Potential Benefits for Traders:
Explores potential momentum continuation scenarios during established trends
Identifies areas where structure changes might influence momentum
Could be useful for swing traders and position traders who incorporate structure-based analysis
The Structure Influence parameter (0-1 scale) allows blending between pure trend following and structure-weighted forecasts
Helps visualize potential trend exhaustion through weakening structure patterns
2. Volume-Weighted Model
This model analyzes volume patterns by combining On-Balance Volume (OBV), Accumulation/Distribution Line, and volume-weighted price returns to assess potential capital flow. The algorithm calculates directional volume momentum and identifies volume spikes above customizable thresholds to determine accumulation or distribution phases. When volume indicators align directionally, the forecast projects stronger potential moves; when volume diverges from price trends, it suggests possible reversals or consolidation.
Potential Benefits for Traders:
Incorporates volume analysis into momentum forecasting
Attempts to filter price action by volume support or lack thereof
Could be more relevant in markets where volume data is reliable (equities, crypto, major forex pairs)
Volume Influence parameter (0-1 scale) enables adaptation to different market liquidity profiles
Highlights volume climax patterns that sometimes precede trend changes
Could be valuable for traders who incorporate volume confirmation in their analysis
3. Linear Regression Model
This mathematical approach applies least-squares regression fitting to project price trends based on recent price data. Unlike the conditional logic of the other methods, linear regression provides straightforward trend extrapolation based on the best-fit line through the lookback period.
Potential Benefits for Traders:
Delivers consistent, reproducible forecasts based on statistical principles
Works better in trending markets with clear directional bias
Useful for systematic traders building quantitative strategies requiring stable inputs
Minimal parameter sensitivity (primarily controlled by lookback period)
Computationally efficient with fast recalculation on every bar
Serves as a baseline to compare against the more complex structure and volume methods
🟢 Universal Applications Across All Models
Each forecasting method projects potential future stochastic RSI values (K and D lines), which traders can use to:
▶ Anticipate potential crossovers: Visualize possible K/D crosses several bars ahead
▶ Explore overbought/oversold scenarios: Forecast when momentum might return from extreme zones
▶ Assess divergences: Evaluate how oscillator divergences might develop
▶ Inform entry timing: Consider potential points along the forecasted momentum curve for trade entry
▶ Develop systematic strategies: Build rules based on forecasted crossovers, slope changes, or threshold levels
▶ Adapt to market conditions: Switch between methods based on current market character (trending vs range-bound, high vs low volume)
In short, the indicator's flexibility allows traders to combine forecasting projections with traditional stochastic signals, using historical K/D for immediate reference while considering forecasted values for planning and analysis. As with all technical analysis tools, the forecasts represent one possible scenario among many and should be used as part of a broader trading methodology rather than as standalone signals.
Adaptive Volatility Stop by Pedro Paulo de MeloStop ATR is a clean and reliable volatility-based trailing stop system, built to adapt dynamically to market conditions using the Average True Range (ATR).
It identifies trend direction, adjusts the stop level using stair-step logic, and automatically flips the stop when price reversals occur.
How it works
Uses ATR × Multiplier to calculate an adaptive volatility buffer
Tracks trend direction internally
Recomputes and repositions the stop when a trend flip is detected
Plots separate lines for bullish and bearish stop states
Works on any market and timeframe (crypto, forex, commodities, indices, stocks)
Why it’s useful
This Stop ATR implementation is extremely stable and visually clean.
It is particularly effective for:
Trend following
Position management
Swing and position trading
Systematic stop placement
Unlike many ATR-based stop versions, this script uses a corrected flip-handling method that prevents stop misalignment and ensures consistent trend state tracking.
Inputs
Period — ATR length
Multiplier — ATR factor that defines stop distance
Author
Developed by Pedro Paulo de Melo, open-source version.
CEF (Chaos Theory Regime Oscillator)Chaos Theory Regime Oscillator
This script is open to the community.
What is it?
The CEF (Chaos Entropy Fusion) Oscillator is a next-generation "Regime Analysis" tool designed to replace traditional, static momentum indicators like RSI or MACD. Unlike standard oscillators that only look at price changes, CEF analyzes the "character" of the market using concepts from Chaos Theory and Information Theory.
It combines advanced mathematical engines (Hurst Exponent, Entropy, VHF) to determine whether a price movement is a real trend or just random noise. It uses a novel "Adaptive Normalization" technique to solve scaling problems common in advanced indicators, ensuring the oscillator remains sensitive yet stable across all assets (Crypto, Forex, Stocks).
What It Promises:
Intelligent Filtering: Filters out false signals in sideways (volatile) markets using the Hurst Base to measure trend continuity.
Dynamic Adaptation: Automatically adapts to volatility. Thanks to trend memory, it doesn't get stuck at the top during uptrends or at the bottom during downtrends.
No Repainting: All signals are confirmed at the close of the bar. They don't repaint or disappear.
What It Doesn't Promise:
Magic Wand: It's a powerful analytical tool, not a crystal ball. It determines the regime, but risk management is up to the investor.
Late-Free Holy Grail: It deliberately uses advanced correction algorithms (WMA/SMA) to provide stability and filter out noise. Speed is sacrificed for accuracy.
Which Concepts Are Used for Which Purpose?
CEF is built on proven mathematical concepts while creating a unique "Fusion" mechanism. These are not used in their standard forms, but are remixed to create a consensus engine:
Hurst Exponent: Used to measure the "memory" of the time series. Tells the oscillator whether there is a probability of the trend continuing or reversing to the mean.
Vertical Horizontal Filter (VHF): Determines whether the market is in a trend phase or a congestion phase.
Shannon Entropy: Measures the "irregularity" or "unpredictability" of market data to adjust signal sensitivity.
Adaptive Normalization (Key Innovation): Instead of fixed limits, the oscillator dynamically scales itself based on recent historical performance, solving the "flat line" problem seen in other advanced scripts.
Original Methodology and Community Contribution
This algorithm is a custom synthesis of public domain mathematical theories. The author's unique contribution lies in the "Adaptive Normalization Logic" and the custom weighting of Chaos components to filter momentum.
Why Public Domain? Standard indicators (RSI, MACD) were developed for the markets of the 1970s. Modern markets require modern mathematics. This script is presented to the community to demonstrate how Regime Analysis can improve trading decisions compared to static tools.
What Problems Does It Solve?
Problem 1: The "Stagnant Market" Trap
CEF Solution: While the RSI gives false signals in a sideways market, CEF's Hurst/VHF filter suppresses the signal, essentially making the histogram "off" (or weak) during noise.
Problem 2: The "Overbought" Fallacy
CEF Solution: In a strong trend (Pump/Dump), traditional oscillators get stuck at 100 or 0. CEF uses "Trend Memory" to understand that an overbought price is not a reversal signal but a sign of trend strength, and keeps the signal green/red instead of reversing it prematurely. Problem 3: Visual Confusion
CEF Solution: Instead of multiple lines, it presents a single, color-coded histogram featuring only prominent "Smart Circles" at high-probability reversal points.
Automation Ready: Custom Alerts
CEF is designed for both manual trading and automation.
Smart Buy/Sell Circles: Visual signals that only appear when trend filters are aligned with momentum reversals.
Deviation Labels: Automatically detects and labels structural divergences between price and entropy.
Disclaimer: This indicator is for educational purposes only. Past performance does not guarantee future results. Always practice appropriate risk management.
BEGGALKey Features and Concepts
1. Order Block (OB) Identification (Pivots)
The core of the indicator relies on Pivot Point detection (ta.pivothigh/ta.pivotlow) over a specified Pivot Length (e.g., 5 bars).
Bullish OB (Demand Zone): Identified at a valid low pivot point, with the zone boundary defined between the pivot low (low ) and the open/close average (hl2 ) of the pivot bar.
Bearish OB (Supply Zone): Identified at a valid high pivot point, with the zone boundary defined between the pivot high (high ) and the open/close average (hl2 ) of the pivot bar.
2. Advanced Strength Filters (Momentum & Volume)
The indicator applies strict filters to ensure only powerful, high-quality zones are drawn:
Momentum (ATR) Filter: Checks if the candle that created the OB has a range (high - low) greater than the Average True Range (ATR) multiplied by the Momentum Threshold. This filters for impulsive, strong candles.
Volume Imbalance Filter (SMC Confirmation): If enabled, it requires the volume of the OB-creating candle to be higher than the volume of candles surrounding it (checked over the Volume Imbalance Lookback period). This confirms institutional activity in the zone creation.
Structure Break Filter (BOS/CHoCH): If enabled, the OB is only considered valid if it is created after a Break of Structure (BOS) or Change of Character (CHoCH). This validates the zone according to market structure rules (e.g., a Bearish OB must be preceded by a break of a significant swing low).
3. Dynamic Zone Management
Zone Narrowing (enable_narrowing): This feature dynamically adjusts the boundaries of an Order Block after it has been touched. If a candle wick tests the zone without fully mitigating it, the zone boundary is moved inward to the point where the test occurred, narrowing the zone and making it a more precise entry point (Dynamic OB concept).
Mitigation/Removal: Once price action (either the candle's wick or close, based on the Mitigation Method setting) breaches the outermost boundary of the zone, the Order Block is considered mitigated (broken) and is removed from the chart to clear clutter.
4. Risk Categorization
The indicator tracks and draws up to a user-defined number of OBs (Bullish/Bearish OB Count). These are categorized by their index:
Index 0 (Closest): Categorized as High Risk Zone.
Index 1: Categorized as Medium Risk Zone.
Index 2 and beyond: Categorized as Low Risk Zone. The user can toggle the visibility for each of these risk categories.
5. Integrated Risk/Reward (RR) Setup
For the High Risk Zone (Index 0), once the zone is touched, the indicator displays a complete trade setup:
Entry: Assumed at the Average Price of the Order Block.
Stop Loss (SL): Placed at the protective boundary of the OB (the top for a Sell Zone, the bottom for a Buy Zone). The risk area is colored with the RR Risk Zone Background.
Take Profit (TP): Calculated based on the user-defined Risk/Reward Ratio (e.g., 2.0 for 1:2 RR). The reward area is colored with the RR Reward Zone Background.
The RR boxes and price labels (TP/SL) are drawn with a configurable RR Box Width (Bars).
6. Alerts
The indicator includes built-in Pine Script alerts that trigger when the price enters an unmitigated zone, notifying the user of the Risk Level (High, Medium, or Low), the zone's boundaries, and the price.
Dragon Smart Ratings (IBD/CANSLIM methodology)🐉 Dragon Smart Ratings – Institutional Grade Analysis
Dragon Smart Ratings is a comprehensive technical and fundamental analysis tool designed to identify market leaders instantly. Inspired by the legendary IBD/CANSLIM methodology, this script calculates five key ratings to help traders separate the "True Leaders" from the rest of the market.
📊 KEY RATINGS EXPLAINED
1. 🟢 Composite Rating (Overall Score)
The master score (1-99) that combines all other ratings.
Smart Protection Logic: Includes a "Contrarian Shield." If a stock has exceptional fundamentals (EPS/SMR) but temporary price weakness, the Composite Rating is protected to ensure you don't miss potential turnaround plays (e.g., META scenarios).
Leader Boost: If a stock exhibits both high RS and high EPS, the score is mathematically forced to 95-99.
2. 📈 RS Rating (Relative Strength)
Measures price performance against the general market (SPY) over the last 12 months.
Leader Logic: heavily weights the most recent 3 months.
Near-High Bonus: Awards extra points if the price is trading near its 52-week high.
3. 💰 EPS Rating (Earnings Per Share)
Analyzes earnings growth on both a Quarterly and Annual basis.
🚀 Smart Fill Technology: TradingView sometimes returns N/A or delayed data for ADRs (like TSM) or international stocks (like AGI). This script detects if a stock has high Price Strength (RS > 90) and automatically extrapolates a fair EPS score, ensuring Leaders are never rated "40" due to missing data.
King Mode: If a stock shows massive growth (>50%) in either the last quarter or the 3-year average, it gets a perfect score.
4. 💎 SMR Rating (Sales + Profit Margins + ROE)
Grades stocks from A (Best) to E (Worst).
Hero Mode: Unlike traditional strict algorithms, Dragon Ratings recognizes that one "Super Metric" (e.g., a massive 40% Margin) can outweigh a lower ROE. If a stock excels in just one category, it qualifies for an A or B.
5. 📦 Acc/Dis Rating (Accumulation/Distribution)
Analyzes Volume and Price action to detect Institutional Buying or Selling.
Strict Mode: Uses a refined Chaikin Money Flow (CMF) logic combined with a "Trend Penalty." It is very difficult to get an A rating unless there is significant heavy-volume buying while the price is above key moving averages.
📱 MOBILE OPTIMIZED (SOLO MODE)
Most fundamental scripts crash on mobile due to memory limits. Dragon Smart Ratings V33 uses advanced Tuple Requests and reduced historical calls to ensure zero crashes on the TradingView Mobile App, while still delivering deep fundamental analysis.
🔔 ALERTS & TELEGRAM INTEGRATION
Built-in support for JSON Alerts.
You can set up a single alert to send a formatted message to your Telegram Bot containing all rating details whenever a stock crosses your defined threshold (default: Composite > 80).
This tool is developed to support the trading community with high-precision data analysis.
Disclaimer: This tool is for informational purposes only and does not constitute financial advice. Always do your own due diligence.
Price Levels ConstructorHello friends,
This is a multi-period OHLC level mapping tool that lets you build your own higher-timeframe levels directly on the chart - across up to 20 customizable period slots.
You choose which periods matter (Year, Half-Year, Quarter, Month, Week, Day, weekdays, etc.), how recent they should be, and which levels to show (Open/High/Mid/Low/Close).
The script then renders those levels with automatic stacking and clear label formatting, giving you a compact higher-timeframe map for intraday and swing trading.
🛠️ How It Works
Each selected period slot creates a period model with its own OHLC+Mid data.
For each active level type, the script draws the price level, tracks the correct H/L/C timestamps when needed, and generates a label consisting of:
The selected recency (Current, Previous, 2nd Previous, …)
The period name (e.g., Month, Q1, Monday)
The level type (O/H/Mid/L/C)
All levels are fed into a registry that merges levels at identical prices, stacks their labels vertically or horizontally, and displays only one rendered line per price with combined label text.
This produces clean clusters when multiple periods share the same level.
Global settings control left/right extensions, label compactness, label content (name, price, % distance), and stacking direction.
🔥 Key Features
20 period slots
Ability to specify period (31 options, from Year to various weekdays)
Ability to specify recency for each selected period (13 options)
5 levels (Open, High, Mid, Low, Close) for each selected period
Stacking of labels of matching levels
% from All-Time High (ATH)
% from All-Time Low (ATL)
Alerts
📸 Visual Examples
The percentages in the level labels make it easy to see the current performance relative to that level
Labels with full level names
Compact labels with vertical stacking
Compact labels with horizontal stacking
👋 Good luck and happy trading!
Tập lệnh trả phí
Granger Causality Flow IndicatorGranger Causality Flow Indicator
█ OVERVIEW
The Granger Causality Flow Indicator is a statistical analysis tool designed to identify predictive relationships between two assets (Symbol X and Symbol Y). In econometrics, "Granger Causality" does not test for actual physical causation (e.g., rain causes mud); rather, it tests for predictive causality .
This script is designed to answer a specific question for traders: "Does the past price action of Asset X provide statistically significant information about the future price of Asset Y, beyond what is already contained in the past prices of Asset Y itself?"
This tool is particularly useful for Pairs Traders , Arbitrageurs , and Macro Analysts looking to identify lead-lag relationships between correlated assets (e.g., BTC vs. ETH, NASDAQ vs. SPY, or Gold vs. Silver).
█ CONCEPTS & CALCULATIONS
To determine if Symbol X "Granger-causes" Symbol Y, this script utilizes a variance-reduction approach based on Auto-Regressive (AR) models. Due to the runtime constraints of Pine Script™, we employ an optimized proxy for the standard Granger test using an AR(1) logic (looking back 1 period).
The calculation performs a comparative test over a rolling window (Default: 50 bars):
The Restricted Model (Baseline):
We attempts to predict the current value of Y using only the previous value of Y (Auto-Regression). We measure the error of this prediction (the "Residuals") and calculate the Variance of the Restricted Model (Var_R) .
The Unrestricted Model (Proxy):
We then test if the past value of X can explain the errors made by the Restricted Model. If X contains predictive power, including it should reduce the error variance. We calculate the remaining Variance of the Unrestricted Model (Var_UR) .
The GC Score:
The script calculates a score based on the ratio of variance reduction:
Score = 1 - (Var_UR / Var_R)
If the Score is High (> 0) : It implies that including X significantly reduced the prediction error for Y. Therefore, X "Granger-causes" Y.
If the Score is Low or 0 : It implies X added no predictive value.
█ HOW TO USE
This indicator is not a simple Buy/Sell signal generator; it is a context filter for cross-asset analysis.
1. Setup
Symbol 1 (X): The potential "Leader" (e.g., BINANCE:BTCUSDT).
Symbol 2 (Y): The potential "Follower" (e.g., BINANCE:ETHUSDT).
Differencing: Enabled by default. This checks the changes in price rather than absolute price, which is crucial for statistical stationarity.
2. Interpreting the Visuals
The script changes the background color and displays a table to indicate the current flow of causality:
Green Background (X → Y): Symbol 1 is leading Symbol 2. Price moves in Symbol 1 are statistically likely to foreshadow moves in Symbol 2.
Orange Background (Y → X): Symbol 2 is leading Symbol 1. The relationship has inverted.
Blue Background (Bidirectional): Both assets are predicting each other (tight coupling or feedback loop).
Gray/No Color: No statistically significant relationship detected.
3. Trading Application
Trend Confirmation: If you trade Symbol Y, wait for the background to turn Green . This indicates that the "Leader" (Symbol X) is currently exerting predictive influence, potentially making trend-following setups on Symbol Y more reliable.
Divergence Warning: If you are trading a correlation pair and the causality breaks (turns Gray), the correlation may be weakening, signaling a higher risk of divergence.
█ SETTINGS
Symbol 1 (X) & Symbol 2 (Y): The two tickers to analyze.
Use Differencing: (Default: True) Converts prices to price-changes. Highly recommended for accurate statistical results to avoid spurious regression.
Calculation Window: The number of bars used to compute the variance and coefficients. Larger windows provide smoother, more stable signals but react slower to regime changes.
Significance Threshold: (0.01 - 0.99) The minimum variance reduction score required to trigger a causal signal.
█ DISCLAIMER
This tool provides statistical analysis of historical price data and does not guarantee future performance. Granger Causality is a measure of predictive capability, not necessarily fundamental causation. Always use appropriate risk management.
HVTC 1HVTC – SMC Market Structure & Trend Indicator
HVTC is a Smart Money Concepts–based tool that helps traders visualize market structure and trend direction with clarity.
Features:
CHoCH & BOS Detection
Automatically identifies structural shifts using true SMC logic and labels them directly on the chart.
Trend Filter
Confirms bullish or bearish conditions using an internal trend system to keep trades aligned with the major direction.
EMA 25 Guide
EMA 25 acts as dynamic support/resistance, helping define momentum and bias.
Alerts (Optional)
Notify traders when CHoCH/BOS or key retests occur—ideal for those who don’t monitor charts continuously.
Use Cases:
Works for Crypto, Forex, Gold, Indices, and Stocks across all timeframes. Helps improve entries, exits, and overall market understanding based on institutional structure.
Not financial advice. Use with proper risk management.
HVTC 2HVTC – SMC Market Structure & Trend Indicator
HVTC is a Smart Money Concepts–based tool that helps traders visualize market structure and trend direction with clarity.
Features:
CHoCH & BOS Detection
Automatically identifies structural shifts using true SMC logic and labels them directly on the chart.
Trend Filter
Confirms bullish or bearish conditions using an internal trend system to keep trades aligned with the major direction.
EMA 25 Guide
EMA 25 acts as dynamic support/resistance, helping define momentum and bias.
Alerts (Optional)
Notify traders when CHoCH/BOS or key retests occur—ideal for those who don’t monitor charts continuously.
Use Cases:
Works for Crypto, Forex, Gold, Indices, and Stocks across all timeframes. Helps improve entries, exits, and overall market understanding based on institutional structure.
Not financial advice. Use with proper risk management.
W Alart Supernova Predictor [Float + Squeeze + RVOL]the script will automatically fetch the Float size of the stock you are looking at.
If the Float is Low (< 10M), it will show a "Low Float" label on the chart.
The "ROCKET" alert will ONLY fire if the stock is actually a Low Float stock. This prevents you from getting false signals on heavy stocks like Apple or Tesla.
How to read the signals on your chart
The Grey Background (The Warning):
When you see the background of the chart turn Grey, this indicates a Squeeze.
This matches the left side of your screenshot where the price was flat. It tells you: "Pay attention, energy is building up."
The Purple Line:
This is the VWAP. Generally, you only want to take long trades when the price is above this line.
The "ROCKET" Label:
This label will appear only when three things happen at once:
Price breaks the upper Bollinger Band.
Price is above VWAP.
Volume is 2.5x higher than average (you can change this number in settings).
******A Crucial Note on "False Positives"****
This script is designed to catch the start of the move. However, sometimes a stock will break out and then immediately fail (a "fake out").
To protect yourself, professional traders usually wait for the candle with the "ROCKET" signal to close, and then enter the trade only if the next candle breaks the high of that signal candle.
Demand & Supply (3 MTF) + SMC & Alerts by StockFusion 3.2Demand & Supply (3 MTF) + SMC & Alerts by StockFusion 3.2
**Overview**
Demand & Supply (3 MTF) + SMC & Alerts by StockFusion 3.2 is a multi–timeframe institutional-style trading tool that automatically detects high-quality Demand & Supply zones (3 TF), Smart Money Concepts (CHoCH & BOS), institutional volume footprints, Fair Value Gaps (FVG), and structural Premium/Discount levels. It is designed to give traders a clear HTF–MTF–LTF view, with smart alerts and a compact trend meter, so that execution can be done with more clarity and discipline.
**Description**
This indicator combines three core engines in one:
* **3× MTF Demand & Supply Zones**
* Auto-detection of RBR/DBR (DZ) and DBD/RBD (SZ) across TF-1 / TF-2 / TF-3.
* Manual / Normal / Conservative / Analysis modes for zone quality control (explosive/body ratios, ATR multipliers, volume filters).
* Dynamic zone removal on retest/mitigation (first & second-leg logic) with optional historical label retention.
* Multi-TF visibility controls (show HTF zones on LTF, LTF on HTF, etc.) and live “Nearest Zone Table” with Proximal/Distal & proximity %.
* **SMC (CHoCH, BOS, FVG, Premium/Discount)**
* Automatic CHoCH & BOS mapping with swing-based detection, visual lines and labels.
* FVG detection (bullish & bearish) with mitigation tracking, optional opacity reduction and mitigation alerts.
* Auto structure engine (HH/LL, BOS/CHoCH) with configurable lookback and line styles.
* Premium/Discount auto-fib levels (1.0/0.78/0.71/0.5/0.0) + optional “P / D” labels and 0.71 touch alerts when aligned with FVG & volume.
* **Institutional Volume, Trend Meter & Extras**
* Institutional “I/X” footprint detection with volume multipliers, significant & extreme volume spike markers + optional alerts.
* Trend Meter table for 3 higher timeframes using 50-period MAs (D/W/M by default) with quick visual up/down bias.
* 3-in-1 colored SMA/EMA pack, inside-bar detector with optional coloring and high/low lines for price action traders.
All key components are modular: you can toggle zones, SMC, institutional activity, FVG, fib structure, alerts, trend meter, and inside candles as per your trading style (intraday, swing, positional, or pure analysis).
**Disclaimer**
This indicator is for **educational and analytical purposes only** and does **not** constitute financial, investment, or trading advice. No buy/sell/hold recommendations are given, and no profitability or performance is guaranteed. Markets are risky; always do your own research, test on demo first, and consult your financial advisor if needed. By using this script, you accept that you are fully responsible for your own trading decisions and results.
gelizon ema pack (9 EMA, 21 EMA, 55 EMA, 200 SMA)This indicator plots a set of commonly used moving averages designed for trend identification, momentum confirmation, and multi-timeframe alignment. It includes three exponential moving averages (9, 21, 55) and one long-term simple moving average (200). These moving averages help traders quickly assess short-term momentum, medium-term trend structure, and overall market direction.
Included Moving Averages:
9 EMA – Fast momentum guide; useful for scalping and intraday trend continuation.
21 EMA – Medium-speed EMA that helps identify short-term trend structure.
55 EMA – Smoother trend line offering a broader view of momentum flow.
200 SMA – Widely used long-term trend benchmark for overall market bias.
Features:
Toggle each moving average on or off
Customize colors for all MAs
Clean overlay design for easy chart interpretation
This indicator is ideal for day traders, swing traders, and algorithmic setups that rely on moving-average alignment or crossover behavior to confirm trend direction and identify high-probability entries.
HTF Candle Overlay – Multi-Timeframe Visualization ToolThis indicator overlays true Higher Timeframe (HTF) candlesticks directly onto any lower timeframe chart, allowing you to see the larger market structure while trading on precise execution timeframes such as 1-minute, 3-minute, or 5-minute.
Instead of constantly switching chart timeframes, you can now see both higher and lower timeframe price action at the same time. Each HTF candle is drawn as a large transparent candlestick with full upper and lower wicks, perfectly aligned in both time and price.
This makes it easy to identify:
- Trend direction from the higher timeframe
- Key support and resistance zones inside each HTF candle
- Liquidity sweeps and rejections across timeframes
- Optimal entries on lower timeframes with higher-timeframe confirmation
Key Features
- Displays true Higher Timeframe candles on any lower timeframe
- Clear transparent candle bodies for unobstructed price visibility
- Full upper and lower wicks
- Non-repainting confirmed candles
- Optional live display of the currently forming HTF candle
- Accurate time-based alignment
- Lightweight and optimized for performance
Who This Indicator Is For
- Scalpers who want higher-timeframe bias
- Day traders using multi-timeframe confirmation
- Smart Money / ICT traders monitoring HTF structure
- Anyone who wants clean multi-timeframe clarity without chart switching
How To Use
- Apply the indicator to any chart.
- Select your preferred Higher Timeframe (HTF) in the settings.
- Use your lower timeframe for entries while respecting HTF structure and direction.
- This tool helps you trade with the bigger picture in view while executing with precision on lower timeframes.
Sai Scalper ProSai Scalper Pro – Feature Summary
Trend Engine
- ATR-based trailing stop with Fibonacci levels (61.8%, 78.6%, 88.6%)
- Auto trend detection with swing point tracking
Scalping Detection (0-10 Score)
- Analyzes 7 factors: ATR compression, ADX, Volume, Range, Consolidation, RSI, BB Squeeze
- Smart state machine with hysteresis to prevent false signals
- Adjustable sensitivity & stability settings
Cloud Modes (7 Options)
- Full Zone, Entry Zone, Premium/Discount, Fib Bands, Upper/Middle/Lower Band
Pro Dashboard
- Real-time scalp score with visual meter
- Entry quality rating & zone display
- Suggested TP/SL based on ATR
- Session detection (Sydney/Tokyo/London/NY) with overlap alerts
- 3 styles (Minimal/Pro/Full) × 4 sizes × 9 positions
Alerts
- Scalp ready, Prime conditions (8+), Optimal entry zone
- Direction-specific (Long/Short bias)
Combines trend-following Fibonacci analysis with intelligent ranging detection for optimal scalping opportunities.
VLB Entry TOOL — Dynamic Key Levels & Continuation Behavior ModThe VLB Entry Tool is a behavior-driven analysis system built specifically for XAUUSD.
It focuses on two structural elements that consistently influence gold’s movement:
1. Key Levels
2. Continuation thresholds after expansion
The indicator automatically identifies and displays key levels on the chart—levels that gold frequently reacts to through rejections, breaks, or pullbacks.
Since these levels form the foundation of most intraday movement, the tool removes the need to manually update them each session.
A core observation behind this model is that gold often breaks through a major level, retraces, and then gains continuation strength once price expands beyond the level by a predefined threshold.
This “break → pullback → continuation” behavior is used to plot objective price zones where continuation has historically shown a higher probability of developing.
Dynamic Adaptive Levels
The VLB Entry Tool continuously adjusts its key levels and continuation thresholds as market structure evolves.
As price forms new highs/lows or shifts intraday behavior, the tool automatically recalibrates to the new environment—helping traders stay aligned with real-time market structure without redrawing levels manually.
What the indicator provides:
-Automatically mapped key levels based on gold’s structural behavior
-Highlighted continuation zones after price expansion
-Real-time adaptive recalculation as market conditions change
-Objective, rules-based entry zones
-A consistent framework that reduces guesswork around “where” to enter
-A focus on price behavior rather than predictions
The VLB Entry Tool does not provide guaranteed outcomes or financial advice.
It organizes XAUUSD structure into predefined reference points using historical behavior, volatility characteristics, and a rules-based approach.
Traders remain responsible for their own timing, confirmation, fundamental context, and risk management.
This tool is designed for traders who want a structured, adaptive, and behavior-focused framework for interpreting XAUUSD movement—centered on the key levels that matter most.
SPY Flow + ORBSPY Flow is an intraday overlay indicator combining:
9/21 EMA ribbon calculated on Heikin-Ashi candles
5-minute opening range high/ low with persistent box and breakout detection
Daily VWAP (Heikin-Ashi based)
Unique behavior: master signals fire only on concurrent ORB breakout and EMA ribbon direction alignment. All other conditions are suppressed. Result is extremely low signal frequency with high alignment probability on SPY.
3EMA-8EMA Current Candle Scannerintraday scanner can also be used for short term trades, crossing above the ema high and low with volume gives signal
猛の掟・本物っぽいTradingViewスクリーナー 完全版//@version=5
indicator("猛の掟・本物っぽいTradingViewスクリーナー 完全版", overlay=false, max_labels_count=500, max_lines_count=500)
// =============================
// 入力パラメータ
// =============================
emaLenShort = input.int(5, "短期EMA", minval=1)
emaLenMid = input.int(13, "中期EMA", minval=1)
emaLenLong = input.int(26, "長期EMA", minval=1)
macdFastLen = input.int(12, "MACD Fast", minval=1)
macdSlowLen = input.int(26, "MACD Slow", minval=1)
macdSignalLen = input.int(9, "MACD Signal", minval=1)
macdZeroTh = input.float(0.2, "MACDゼロライン近辺とみなす許容値", step=0.05)
volMaLen = input.int(5, "出来高平均日数", minval=1)
volMinRatio = input.float(1.3, "出来高倍率(初動判定しきい値)", step=0.1)
volStrongRatio = input.float(1.5, "出来高倍率(本物/三点シグナル用)", step=0.1)
highLookback = input.int(60, "直近高値の参照本数", minval=10)
pullbackMin = input.float(5.0, "押し目最小 ", step=0.5)
pullbackMax = input.float(15.0, "押し目最大 ", step=0.5)
breakLookback = input.int(15, "レジブレ後とみなす本数", minval=1)
wickBodyMult = input.float(2.0, "ピンバー:下ヒゲが実体の何倍以上か", step=0.5)
// 表示設定
showPanel = input.bool(true, "下パネルにスコアを表示する")
showTable = input.bool(true, "右上に8条件チェック表を表示する")
// =============================
// 基本指標計算
// =============================
emaShort = ta.ema(close, emaLenShort)
emaMid = ta.ema(close, emaLenMid)
emaLong = ta.ema(close, emaLenLong)
= ta.macd(close, macdFastLen, macdSlowLen, macdSignalLen)
volMa = ta.sma(volume, volMaLen)
volRatio = volMa > 0 ? volume / volMa : 0.0
recentHigh = ta.highest(high, highLookback)
prevHigh = ta.highest(high , highLookback)
pullbackPct = recentHigh > 0 ? (recentHigh - close) / recentHigh * 100.0 : 0.0
// ローソク足要素
body = math.abs(close - open)
upperWick = high - math.max(open, close)
lowerWick = math.min(open, close) - low
// =============================
// A：トレンド条件
// =============================
emaUp = emaShort > emaShort and emaMid > emaMid and emaLong > emaLong
goldenOrder = emaShort > emaMid and emaMid > emaLong
aboveEma2 = close > emaLong and close > emaLong
trendOK = emaUp and goldenOrder and aboveEma2
// =============================
// B：MACD条件
// =============================
macdGC = ta.crossover(macdLine, macdSignal)
macdNearZero = math.abs(macdLine) <= macdZeroTh
macdUp = macdLine > macdLine
macdOK = macdGC and macdNearZero and macdUp
// =============================
// C：出来高条件
// =============================
volInitOK = volRatio >= volMinRatio // 8条件用
volStrongOK = volRatio >= volStrongRatio // 三点シグナル用
volumeOK = volInitOK
// =============================
// D：ローソク足パターン
// =============================
isBullPinbar = lowerWick > wickBodyMult * body and lowerWick > upperWick and close >= open
isBullEngulf = close > open and open < close and close > open
isBigBullCross = close > emaShort and close > emaMid and open < emaShort and open < emaMid and close > open
candleOK = isBullPinbar or isBullEngulf or isBigBullCross
// =============================
// E：価格帯（押し目＆レジブレ）
// =============================
pullbackOK = pullbackPct >= pullbackMin and pullbackPct <= pullbackMax
isBreakout = close > prevHigh and close <= prevHigh
barsSinceBreak = ta.barssince(isBreakout)
afterBreakZone = barsSinceBreak >= 0 and barsSinceBreak <= breakLookback
afterBreakPullbackOK = afterBreakZone and pullbackOK and close > emaShort
priceOK = pullbackOK and afterBreakPullbackOK
// =============================
// 8条件の統合
// =============================
allRulesOK = trendOK and macdOK and volumeOK and candleOK and priceOK
// =============================
// 最終三点シグナル
// =============================
longLowerWick = lowerWick > wickBodyMult * body and lowerWick > upperWick
macdGCAboveZero = ta.crossover(macdLine, macdSignal) and macdLine > 0
volumeSpike = volStrongOK
finalThreeSignal = longLowerWick and macdGCAboveZero and volumeSpike
buyConfirmed = allRulesOK and finalThreeSignal
// =====================================================
// スクリーナー用スコア（0=なし, 1=猛, 2=確）
// =====================================================
score = buyConfirmed ? 2 : (allRulesOK ? 1 : 0)
// 色分け（1行で安全な書き方）
col = score == 2 ? color.new(color.yellow, 0) : score == 1 ? color.new(color.lime, 0) : color.new(color.gray, 80)
// -----------------------------------------------------
// ① 視覚用：下パネルのカラム表示
// -----------------------------------------------------
plot(showPanel ? score : na,
title = "猛スコア（0=なし,1=猛,2=確）",
style = plot.style_columns,
color = col,
linewidth = 2)
hline(0, "なし", color=color.new(color.gray, 80))
hline(1, "猛", color=color.new(color.lime, 60))
hline(2, "確", color=color.new(color.yellow, 60))
// -----------------------------------------------------
// ② Data Window 用出力（スクリーナー風）
// -----------------------------------------------------
plot(score, title="Score_0なし1猛2確", color=color.new(color.white, 100), display=display.data_window)
plot(allRulesOK ? 1 : 0, title="A_Trend_OK", color=color.new(color.white, 100), display=display.data_window)
plot(macdOK ? 1 : 0, title="B_MACD_OK", color=color.new(color.white, 100), display=display.data_window)
plot(volumeOK ? 1 : 0, title="C_Volume_OK", color=color.new(color.white, 100), display=display.data_window)
plot(candleOK ? 1 : 0, title="D_Candle_OK", color=color.new(color.white, 100), display=display.data_window)
plot(priceOK ? 1 : 0, title="E_Price_OK", color=color.new(color.white, 100), display=display.data_window)
plot(longLowerWick ? 1 : 0, title="F_Pin下ヒゲ_OK", color=color.new(color.white, 100), display=display.data_window)
plot(macdGCAboveZero ? 1 : 0, title="G_MACDゼロ上", color=color.new(color.white, 100), display=display.data_window)
plot(volumeSpike ? 1 : 0, title="H_出来高1.5倍", color=color.new(color.white, 100), display=display.data_window)
// -----------------------------------------------------
// ③ 右上に「8条件チェック表」を表示（最終バーのみ）
// -----------------------------------------------------
var table info = table.new(position.top_right, 2, 9,
border_width = 1,
border_color = color.new(color.white, 60))
// 1行分の表示用ヘルパー
fRow(string label, bool cond, int row) =>
color bg = cond ? color.new(color.lime, 70) : color.new(color.red, 80)
string txt = cond ? "達成" : "未達"
// 左列：条件名
table.cell(info, 0, row, label, text_color = color.white, bgcolor = color.new(color.black, 0))
// 右列：結果（達成 / 未達）
table.cell(info, 1, row, txt, text_color = color.white, bgcolor = bg)
if barstate.islast and showTable
// ヘッダー（2列とも黒背景）
table.cell(info, 0, 0, "猛の掟 8条件チェック", text_color = color.white, bgcolor = color.new(color.black, 0))
table.cell(info, 1, 0, "", text_color = color.white, bgcolor = color.new(color.black, 0))
fRow("A: トレンド", trendOK, 1)
fRow("B: MACD", macdOK, 2)
fRow("C: 出来高", volumeOK, 3)
fRow("D: ローソク", candleOK, 4)
fRow("E: 押し目/レジブレ", priceOK, 5)
fRow("三点: ヒゲ", longLowerWick, 6)
fRow("三点: MACDゼロ上", macdGCAboveZero,7)
fRow("三点: 出来高1.5倍", volumeSpike, 8)
Trinity Ultimate 10 MA Ribbons)I got tired of trying to find a multi MA ribbon that could also color change and allow different types, if it exists then I could not find it... So here it is...
The **Trinity Ultimate 10 MA Ribbon** is a highly customizable, professional-grade moving average ribbon that combines extreme flexibility with beautiful visual feedback. Designed for traders who want full control without sacrificing clarity, it allows you to build a ribbon using up to ten completely independent moving averages — each with its own length, type, color, thickness, and visibility setting — while automatically coloring both the lines and the fills according to bullish or bearish conditions.
### Key Features
- Ten fully independent moving averages that can be mixed and matched exactly as you want.
- Each MA has its own selectable type: EMA (default), SMA, WMA, HMA, RMA, VWMA, or ALMA — perfect for combining fast EMAs with a slow HMA or a classic 200-period SMA.
- Every single MA line automatically changes color in real time: bright green when price is above the MA (bullish) and red when price is below the MA (bearish), making trend strength instantly visible across all timeframes.
- Smart, reactive ribbon fills that appear only between consecutive enabled MAs. Turn any MA on or off and the fills instantly adjust — no gaps, no broken bands, no manual rework.
- Nine layered fills with individually adjustable transparency (default is gradually increasing transparency from the fastest to the slowest MA), creating a smooth, depth-like ribbon effect that looks stunning on any chart background.
- Fill color itself is dynamic: green for bullish candles (close > open) and red for bearish candles, or you can customize both colors to any shade you prefer.
- Full control over every visual element: base colors, line thickness (1–10), lengths, and show/hide toggles for each of the ten MAs.
- Clean and lightweight code that compiles instantly in Pine Script v5 and works on all markets and timeframes without lag.
In short, this is the most flexible and visually informative moving-average ribbon available on TradingView today. Whether you want a classic 9-EMA ribbon, a Guppy-style multiple-timeframe setup, a hybrid EMA/HMA mix, or just three or four key levels, the indicator adapts perfectly while always telling you at a glance where the bulls and bears are in control.
Session Fibonacci Tracker with Dynamic Range FreezeSession Fibonacci Tracker with Dynamic Range Freeze
This indicator plots Fibonacci retracement and extension levels based on session high/low ranges with a unique "freeze" mechanism that locks levels during volatility and recalculates only when price returns to the established range.
How It Works:
The indicator uses a three-stage process to maintain stable Fibonacci levels:
Range Establishment: At the start of each session (default 1800 ET), the indicator tracks the session high and low. Fibonacci levels are calculated with dynamic anchoring - when price is above the session open, 0 anchors at the high with 1 at the low; when below, 0 anchors at the low with 1 at the high.
Freeze Mechanism: Once the range is established, it immediately freezes. If a candle closes outside this range, the Fibonacci levels remain locked at their current values even as new session highs or lows form. This prevents levels from constantly recalculating during trending moves.
Recalculation: The frozen range only updates when price action (high or low) touches back inside the established range. At this point, levels recalculate based on the current session high/low, then freeze again.
Key Features:
Customizable Fibonacci levels: All retracement (0.236, 0.382, 0.500, 0.618, 0.786) and extension levels (-1.0, -0.618, -0.272, 1.272, 1.618, 2.0) can be enabled/disabled and adjusted to custom values
Time-based line extension prevents historical buffer overflow errors
Works across all timeframes
Session start time fully customizable
Visual status indicator shows whether levels are frozen or active
All lines and labels are fully customizable (colors, width, labels, prices)
Use Cases:
This indicator is particularly useful for traders who want stable reference levels during volatile periods. Traditional Fibonacci tools recalculate with every new extreme, making them difficult to use as support/resistance during trends. This implementation keeps levels stable until price returns to consolidation, providing consistent reference points for entries, exits, and stop placement.
Settings:
Session Settings: Configure session start time (default 1800 ET)
Fibonacci Levels: Enable/disable and customize each retracement level value
Extension Levels: Enable/disable and customize each extension level value
Visual Settings: Adjust line extension, width, labels, and price display
Colors: Customize colors for open line, 0 level, 1 level, retracements, and extensions
