Micro-EMAs Trend/Range Filter Micro-EMAs Trend/Range Filter (MTF EMAs + Gap + Persistence + ADX/ATR)
What it does
This indicator classifies the market as Trend or Range using a micro-stack of HTF EMAs (2/3/5/7/9) evaluated on your current chart. It requires the EMAs to be strictly ordered and separated by a minimum gap (relative to ATR), then confirms the state with persistence (N consecutive bars). Optional ADX and relative ATR filters help you ignore weak or quiet conditions. Background shading highlights Trend/Range; you can also plot the HTF EMAs on the chart.
Core Logic (high level)
MTF EMAs: EMA(2/3/5/7/9) are computed on a selected higher timeframe (input: EMA timeframe (HTF)) and referenced on the current chart.
Ordering:
Up-trend candidate: EMA2 > EMA3 > EMA5 > EMA7 > EMA9
Down-trend candidate: EMA2 < EMA3 < EMA5 < EMA7 < EMA9
Gap requirement (optional): minimum of all adjacent EMA distances must be ≥ ATR(gapLen) × gapMultiplier.
Persistence: the raw up/down condition must hold for N consecutive bars on the current timeframe.
Filters (optional):
ADX ≥ threshold (Wilder’s method, internal implementation)
Relative ATR: ATR_now / SMA(ATR, refLen) ≥ threshold
States:
Trend if (Up or Down) passes persistence and all enabled filters
Range otherwise
Inputs & Controls
Higher Timeframe for EMAs: choose the HTF used to compute EMA 2/3/5/7/9.
Gap: ATR length and multiplier for the minimum EMA spacing check; can be disabled.
Persistence: number of consecutive current-TF bars required to confirm trend.
ADX filter (optional): length and minimum ADX threshold.
Relative ATR filter (optional): ATR length, reference length, and minimum ratio.
Visuals: toggle background shading for Trend/Range, opacity, and optional plotting of the HTF EMAs.
Alerts
Trend started – first bar when the indicator switches from Range to Trend.
Range started – first bar when the indicator switches from Trend to Range.
Up-trend started – first confirmed Up state (meets ordering, gap, persistence, filters).
Down-trend started – first confirmed Down state.
Add alerts from the chart using these built-in conditions.
How to Use
Pick the HTF (e.g., use 5m EMAs while trading 1m, or 1H while trading 5m) to smooth noise while staying responsive.
Optionally tighten the gap (higher multiplier) and increase persistence to avoid whipsaws; loosen them to react faster.
Use ADX and/or Relative ATR to filter weak trends or low-volatility periods.
Trade with the background: teal/red = Trend (up/down), gray = Range. Consider entries only when your own setup aligns with the state.
Notes & Limitations
MTF behavior: HTF EMA values are final after the HTF bar closes. On lower timeframes within the current HTF bar, values can update as the HTF bar forms. Signals confirm only when persistence is satisfied on closed bars.
This is an indicator (not a strategy); it does not place trades or show P/L.
Parameter names and defaults are chosen for clarity and to allow quick tuning across symbols/timeframes.
Suggested Defaults (starting point)
HTF = 5× your chart timeframe
Gap = ATR(14) × 0.10–0.20
Persistence = 3–5 bars
ADX (optional) = 14, min 18–25
Relative ATR (optional) = ATR(14) / SMA(ATR, 50) ≥ 0.9–1.1
Trend Analysis
Information-Geometric Market DynamicsInformation-Geometric Market Dynamics
The Information Field: A Geometric Approach to Market Dynamics
By: DskyzInvestments
Foreword: Beyond the Shadows on the Wall
If you have traded for any length of time, you know " the feeling ." It is the frustration of a perfect setup that fails, the whipsaw that stops you out just before the real move, the nagging sense that the chart is telling you only half the story. For decades, technical analysis has relied on interpreting the shadows—the patterns left behind by price. We draw lines on these shadows, apply indicators to them, and hope they reveal the future.
But what if we could stop looking at the shadows and, instead, analyze the object casting them?
This script introduces a new paradigm for market analysis: Information-Geometric Market Dynamics (IGMD) . The core premise of IGMD is that the price chart is merely a one-dimensional projection of a much richer, higher-dimensional reality—an " information field " generated by the collective actions and beliefs of all market participants.
This is not just another collection of indicators. It is a unified framework for measuring the geometry of the market's information field—its memory, its complexity, its uncertainty, its causal flows—and making high-probability decisions based on that deeper reality. By fusing advanced mathematical and informational concepts, IGMD provides a multi-faceted lens through which to view market behavior, moving beyond simple price action into the very structure of market information itself.
Prepare to move beyond the flatland of the price chart. Welcome to the information field.
The IGMD Framework: A Multi-Kernel Approach
What is a Kernel? The Heart of Transformation
In mathematics and data science, a kernel is a powerful and elegant concept. At its core, a kernel is a function that takes complex, often inscrutable data and transforms it into a more useful format. Think of it as a specialized lens or a mathematical "probe." You cannot directly measure abstract concepts like "market memory" or "trend quality" by looking at a price number. First, you must process the raw price data through a specific mathematical machine—a kernel—that is designed to output a measurement of that specific property. Kernels operate by performing a sort of "similarity test," projecting data into a higher-dimensional space where hidden patterns and relationships become visible and measurable.
Why do creators use them? We use kernels to extract features —meaningful pieces of information—that are not explicitly present in the raw data. They are the essential tools for moving beyond surface-level analysis into the very DNA of market behavior. A simple moving average can tell you the average price; a suite of well-chosen kernels can tell you about the character of the price action itself.
The Alchemist's Challenge: The Art of Fusion
Using a single kernel is a challenge. Using five distinct, computationally demanding mathematical engines in unison is an immense undertaking. The true difficulty—and artistry—lies not just in using one kernel, but in fusing the outputs of many . Each kernel provides a different perspective, and they can often give conflicting signals. One kernel might detect a strong trend, while another signals rising chaos and uncertainty. The IGMD script's greatest strength is its ability to act as this alchemist, synthesizing these disparate viewpoints through a weighted fusion process to produce a single, coherent picture of the market's state. It required countless hours of testing and calibration to balance the influence of these five distinct analytical engines so they work in harmony rather than cacophony.
The Five Kernels of Market Dynamics
The IGMD script is built upon a foundation of five distinct kernels, each chosen to probe a unique and critical dimension of the market's information field.
1. The Wavelet Kernel (The "Microscope")
What it is: The Wavelet Kernel is a signal processing function designed to decompose a signal into different frequency scales. Unlike a Fourier Transform that analyzes the entire signal at once, the wavelet slides across the data, providing information about both what frequencies are present and when they occurred.
The Kernels I Use:
Haar Kernel: The simplest wavelet, a square-wave shape defined by the coefficients . It excels at detecting sharp, sudden changes.
Daubechies 2 (db2) Kernel: A more complex and smoother wavelet shape that provides a better balance for analyzing the nuanced ebb and flow of typical market trends.
How it Works in the Script: This kernel is applied iteratively. It first separates the finest "noise" (detail d1) from the first level of trend (approximation a1). It then takes the trend a1 and repeats the process, extracting the next level of cycle (d2) and trend (a2), and so on. This hierarchical decomposition allows us to separate short-term noise from the long-term market "thesis."
2. The Hurst Exponent Kernel (The "Memory Gauge")
What it is: The Hurst Exponent is derived from a statistical analysis kernel that measures the "long-term memory" or persistence of a time series. It is the definitive measure of whether a series is trending (H > 0.5), mean-reverting (H < 0.5), or random (H = 0.5).
How it Works in the Script: The script employs a method based on Rescaled Range (R/S) analysis. It calculates the average range of price movements over increasingly larger time lags (m1, m2, m4, m8...). The slope of the line plotting log(range) vs. log(lag) is the Hurst Exponent. Applying this complex statistical analysis not to the raw price, but to the clean, wavelet-decomposed trend lines, is a key innovation of IGMD.
3. The Fractal Dimension Kernel (The "Complexity Compass")
What it is: This kernel measures the geometric complexity or "jaggedness" of a price path, based on the principles of fractal geometry. A straight line has a dimension of 1; a chaotic, space-filling line approaches a dimension of 2.
How it Works in the Script: We use a version based on Ehlers' Fractal Dimension Index (FDI). It calculates the rate of price change over a full lookback period (N3) and compares it to the sum of the rates of change over the two halves of that period (N1 + N2). The formula d = (log(N1 + N2) - log(N3)) / log(2) quantifies how much "longer" and more convoluted the price path was than a simple straight line. This kernel is our primary filter for tradeable (low complexity) vs. untradeable (high complexity) conditions.
4. The Shannon Entropy Kernel (The "Uncertainty Meter")
What it is: This kernel comes from Information Theory and provides the purest mathematical measure of information, surprise, or uncertainty within a system. It is not a measure of volatility; a market moving predictably up by 10 points every bar has high volatility but zero entropy .
How it Works in the Script: The script normalizes price returns by the ATR, categorizes them into a discrete number of "bins" over a lookback window, and forms a probability distribution. The Shannon Entropy H = -Σ(p_i * log(p_i)) is calculated from this distribution. A low H means returns are predictable. A high H means returns are chaotic. This kernel is our ultimate gauge of market conviction.
5. The Transfer Entropy Kernel (The "Causality Probe")
What it is: This is by far the most advanced and computationally intensive kernel in the script. Transfer Entropy is a non-parametric measure of directed information flow between two time series. It moves beyond correlation to ask: "Does knowing the past of Volume genuinely reduce our uncertainty about the future of Price?"
How it Works in the Script: To make this work, the script discretizes both price returns and the chosen "driver" (e.g., OBV) into three states: "up," "down," or "neutral." It then builds complex conditional probability tables to measure the flow of information in both directions. The Net Transfer Entropy (TE Driver→Price minus TE Price→Driver) gives us a direct measure of causality . A positive score means the driver is leading price, confirming the validity of the move. This is a profound leap beyond traditional indicator analysis.
Chapter 3: Fusion & Interpretation - The Field Score & Dashboard
Each kernel is a specialist providing a piece of the puzzle. The Field Score is where they are fused into a single, comprehensive reading. It's a weighted sum of the normalized scores from all five kernels, producing a single number from -1 (maximum bearish information field) to +1 (maximum bullish information field). This is the ultimate "at-a-glance" metric for the market's net state, and it is interpreted through the dashboard.
The Dashboard: Your Mission Control
Field Score & Regime: The master metric and its plain-English interpretation ("Uptrend Field", "Downtrend Field", "Transitional").
Kernel Readouts (Wave Align, H(w), FDI, etc.): The live scores of each individual kernel. This allows you to see why the Field Score is what it is. A high Field Score with all components in agreement (all green or red) is a state of High Coherence and represents a high-quality setup.
Market Context: Standard metrics like RSI and Volume for additional confluence.
Signals: The raw and adjusted confluence counts and the final, calculated probability scores for potential long and short entries.
Pattern: Shows the dominant candlestick pattern detected within the currently forming APEX range box and its calculated confidence percentage.
Chapter 4: Mastering the Controls - The Inputs Menu
Every parameter is a lever to fine-tune the IGMD engine.
📊 Wavelet Transform: Kernel ( Haar for sharp moves, db2 for smooth trends) and Scales (depth of analysis) let you tune the script's core microscope to your asset's personality.
📈 Hurst Exponent: The Window determines if you're assessing short-term or long-term market memory.
🔍 Fractal Dimension & ⚡ Entropy Volatility: Adjust the lookback windows to make these kernels more or less sensitive to recent price action. Always keep "Normalize by ATR" enabled for Entropy for consistent results.
🔄 Transfer Entropy: Driver lets you choose what causal force to measure (e.g., OBV, Volume, or even an external symbol like VIX). The throttle setting is a crucial performance tool, allowing you to balance precision with script speed.
⚡ Field Fusion • Weights: This is where you can customize the model's "brain." Increase the weights for the kernels that best align with your trading philosophy (e.g., w_hurst for trend followers, w_fdi for chop avoiders).
📊 Signal Engine: Mode offers presets from Conservative to Aggressive . Min Confluence sets your evidence threshold. Dynamic Confluence is a powerful feature that automatically adapts this threshold to the market regime.
🎨 Visuals & 📏 Support/Resistance: These inputs give you full control over the chart's appearance, allowing you to toggle every visual element for a setup that is as clean or as data-rich as you desire.
Chapter 5: Reading the Battlefield - On-Chart Visuals
Pattern Boxes (The Large Rectangles): These are not simple range boxes. They appear when the Field Score crosses a significance threshold, signaling a potential ignition point.
Color: The color reflects the dominant candlestick pattern that has occurred within that box's duration (e.g., green for Bull Engulf).
Label: Displays the dominant pattern, its duration in bars, and a calculated Confidence % based on field strength and pattern clarity.
Bar Pattern Boxes (The Small Boxes): If enabled, these highlight individual, significant candlestick patterns ( BE for Bull Engulf, H for Hammer) on a bar-by-bar basis.
Signal Markers (▲ and ▼): These appear only when the Signal Engine's criteria are all met. The number is the calculated Probability Score .
RR Rails (Dashed Lines): When a signal appears, these lines automatically plot the Entry, Stop Loss (based on ATR), and two Take Profit targets (based on Risk/Reward ratios). They dynamically break and disappear as price touches each level.
Support & Resistance Lines: Plots of the highest high ( Resistance ) and lowest low ( Support ) over a lookback, providing key structural levels.
Chapter 6: Development Philosophy & A Final Word
One single question: " What is the market really doing? " It represents a triumph of complexity, blending concepts from signal processing, chaos theory, and information theory into a cohesive framework. It is offered for educational and analytical purposes and does not constitute financial advice. Its goal is to elevate your analysis from interpreting flat shadows to measuring the rich, geometric reality of the market's information field.
As the great mathematician Benoit Mandelbrot , father of fractal geometry, noted:
"Clouds are not spheres, mountains are not cones, coastlines are not circles, and bark is not smooth, nor does lightning travel in a straight line."
Neither does the market. IGMD is a tool designed to navigate that beautiful, complex, and fractal reality.
— Dskyz, Trade with insight. Trade with anticipation.
Crypto EMA 7/25/99 – Version Binance Futures pour TradingView🇬🇧 English version
This indicator replicates the default exponential moving averages used on Binance Futures: EMA 7, EMA 25, and EMA 99.
EMA 7 (yellow): Highlights short-term moves and quick trend reversals.
EMA 25 (blue): Filters market noise and shows the medium-term trend.
EMA 99 (red): Reflects the overall trend and dynamic support/resistance levels.
How to use:
EMA 7 / EMA 25 crossovers can signal potential entry or exit points.
EMA 99 serves as the main trend reference.
Works on all timeframes, for both spot and futures markets.
Advantage: Allows traders familiar with Binance Futures to keep the same visual setup on TradingView without having to add three separate indicators.
🇫🇷 Version française
Cet indicateur reproduit exactement les moyennes mobiles exponentielles par défaut utilisées sur Binance Futures : EMA 7, EMA 25 et EMA 99.
SWG by FX_KING_IRANThis script is a trading system based on the SWG strategy, designed to analyze market trends and identify potential entry and exit points.
Features:
Detects main market trends
Generates buy and sell signals based on combined indicators
Displays suggested stop loss and take profit levels on the chart
Suitable for swing trading and trend-following styles
This version is created for optimizing trading decisions and does not provide any external financial signals or services.
Market Strengthimgur.com
What It Does
This “Market Strength” tool looks at each candle and figures out:
How much of it was bullish (price above the EMA)
How much was bearish (price below the EMA)
It turns those into percentages so you can see the strength of each side for every bar.
How It Shows It
Green numbers below a candle = bullish strength %.
Red numbers above a candle = bearish strength %.
You can choose to show only one side or both.
Color Box on Last Candle
Strength Lines Below/Above the Chart
A “net power” line shows who’s winning overall.
Two signal lines (fast & slow) generate buy/sell crossovers.
What It Tells You
When bulls are dominating (numbers high under candles).
When bears are dominating (numbers high above candles).
When the market is balanced or fighting (both numbers similar).
When momentum is shifting (crossover signals).
If you imagine each candle as a battle between bulls and bears, this indicator is basically a scoreboard showing who’s winning each round and when momentum might flip.
Chandelier Exit + FVG + EMAs (CE FVG4)CE + FVG + EMAs — How the strategy works
1) What this tool does
This strategy combines a Chandelier Exit (CE), Fair Value Gaps (FVGs), and a 3-EMA trend filter to time entries around imbalances while staying aligned with the prevailing move.
Chandelier Exit (CE) supplies a volatility-based bias (bullish vs bearish) and dynamic stop level using a multiple of ATR. CE trails from the highest high (for longs) or lowest low (for shorts); a direction flip signals a regime change.
Investopedia
help.trendspider.com
EMAs (fast, mid, main) define tactical momentum and the higher-timeframe trend; EMAs weight recent prices more than older ones, so they react faster than SMAs.
Investopedia
+1
Fair Value Gaps (FVGs) mark three-candle price imbalances (a “void” between candle n and n-2). These areas often attract price before continuation or reversal; the script draws the gap and its 50% “CE line.”
trendspider.com
ATR also underpins CE and reflects underlying volatility; higher ATR = higher volatility.
Fidelity Investments
TradingView
2) Entry logic (default)
The script detects a new FVG (bullish or bearish).
If CE bias + EMA filter are aligned at birth of the FVG, the script prints a Primary Signal (BUY or SELL) at the gap’s 50% line (configurable style/size/colors).
Optionally, you can enable “first-touch of the 50% line” as a secondary confirmation.
CE direction flips can be shown/hidden with one toggle; they do not change the primary signal logic.
Why this blend? EMAs help keep you with momentum, CE provides a volatility-aware regime and trailing stop, and FVGs target spots where price often “re-balances” before the next leg.
Investopedia
help.trendspider.com
trendspider.com
3) Settings you can customize
Chandelier Exit: ATR period & multiplier, “use close for extremes,” show/hide CE signals and background state. (CE lines are always plottable for contextual stops.)
Investopedia
EMAs: Fast / Mid / Main lengths; optional rule to require fast>mid (or < for shorts).
Investopedia
FVG Module: Show gaps, extend bars, delete mitigated gaps, draw 50% CE line.
trendspider.com
Primary Signal Styling: label text (BUY/SELL), size, shape (triangle/label/circle/arrow/diamond), colors, and vertical offset.
Alerts:
Primary BUY/SELL at FVG birth when all filters align.
CE direction change, and FVG 50% first-touch (optional). Each alertcondition() appears as its own alert option in TradingView.
TradingView
+1
4) Suggested workflow
Use the Main EMA as your trend filter; only take primary signals in the direction of that trend. EMAs respond faster than SMAs, which helps during momentum phases.
Investopedia
Let CE trail your risk: for longs, stops can anchor below CE-long; for shorts, above CE-short. (This is a classic use of CE.)
Investopedia
Prefer liquid symbols and active sessions; FVGs are most meaningful where order flow is rich.
fluxcharts.com
Consider volatility: ATR expanding often precedes strong follow-through; contracting ATR suggests range conditions where signals may whipsaw.
Schwab Brokerage
5) Notes & limitations
Like all moving-average systems, EMA filters can underperform in choppy, trendless markets; combine with structure/HTF context.
Investopedia
FVGs highlight imbalance; they are not guarantees of reversal/continuation. Always confirm with your plan and manage risk.
trendspider.com
This script is for education only and is not financial advice.
Credits & references
Chandelier Exit & ATR: Investopedia, Fidelity, TrendSpider.
Investopedia
Fidelity Investments
help.trendspider.com
EMAs and MA basics: Investopedia.
Investopedia
+1
FVG concept: TrendSpider / FluxCharts.
trendspider.com
fluxcharts.com
Pine alerts: TradingView Docs.
TradingView
+1
How to trade this strategy
1. Set your trend filter using the main EMA
Only act on signals in the direction of your EMA trend (price above = bullish, below = bearish).
2. Watch for new FVG zones forming
When price creates a 3-candle Fair Value Gap, check if it aligns with the current CE direction and the EMA trend.
3. Enter on the “Primary Signal” at the FVG’s 50% line
This is configurable in shape, size, and color via the settings.
4. (Optional) Wait for the first touch of the 50% line
If enabled, the script flags this as an additional confirmation for entry.
5. Manage risk using the Chandelier Exit
Use the CE line as a trailing stop (longs below, shorts above), or place your stop slightly beyond it.
6. Control CE Flip signals with one toggle
You can enable or disable CE reversal markers without affecting the primary logic.
7. Prefer clearer markets
This methodology works best in liquid assets during defined trend phases—not in choppy ranges.
8. Monitor ATR (volatility)
Rising ATR indicates stronger moves—pairs well with FVG entries. Low ATR suggests range-bound conditions: stay cautious.
FAQ (Frequently Asked Questions)
Q: What is an FVG?
FVG (Fair Value Gap) is a three-bar imbalance—typically between candle n and candle n–2—where price “leaves a void.” FVGs often guide the next price reaction. (trendspider.com)
Q: Why combine FVG with CE and EMAs?
FVG zones surface imbalance areas, CE gives volatility-based bias/stop, and EMAs anchor the filter to trend and momentum. Together, they offer a balanced approach to entries around liquidity zones.
Q: Can I customize the signal appearance?
Absolutely — you can change text, shape (triangle, circle, diamond, arrow, label), size, background colors, and vertical offset via the input panel.
Q: Are CE reversal alerts separate from FVG signals?
Yes—they are independent. CE flips are optional visual cues; your primary FVG signal logic does not rely on them.
Q: How are alerts structured?
Three alert types are available:
Primary BUY/SELL at FVG birth when aligned
CE direction flip
FVG 50% line first touch
Just turn on the ones you need.
Q: Can I use this for backtesting?
Yes—just convert the script into a strategy(...) version and use built-ins like strategy.entry() and strategy.exit() to model entries, stops, and position sizing.
[Top] LHAMA SupertrendLHAMA Supertrend - Advanced Adaptive Trend Following System
Overview
The LHAMA Supertrend is an innovative trend-following indicator that combines adaptive moving average technology with intelligent signal confirmation. Unlike traditional supertrend indicators that rely on simple moving averages, this system uses my Low-High Adaptive Moving Average (🦙 LHAMA) algorithm that dynamically adjusts to market volatility and price action patterns. It is much more responsive to sudden price changes than traditional supertrend indicators, allowing you to jump in earlier and catch more of the move, and it manages this responsiveness without significantly increasing the number of false signals.
What Makes This Original
This indicator introduces several unique concepts not found in standard trend-following tools:
LHAMA Algorithm : The core innovation is the Low-High Adaptive Moving Average, which adapts its responsiveness based on the frequency of new highs and lows within a lookback period. This creates a more intelligent baseline that responds appropriately to different market conditions.
Delayed Confirmation System : Rather than generating immediate signals on price crossovers, the indicator implements a sophisticated confirmation mechanism using slope analysis. Signals are only triggered when both trend direction and momentum align, significantly reducing false signals.
Volume Integration : Optional volume weighting enhances the adaptive calculation, giving more weight to price movements during high-volume periods.
Daily Reset Functionality : Unique daily reset feature helps realign the indicator after overnight gaps, particularly useful for equity markets.
How It Works
LHAMA Calculation
The LHAMA baseline adapts using a coefficient derived from:
Frequency of new highs and lows in the lookback period
Optional volume weighting factor
Smoothed adaptation rate based on market activity
The calculation:
lhama = previous_lhama + momentum_adaptation * (price - previous_lhama)
Where the momentum adaptation increases when markets are making new highs or lows, allowing faster response during trending conditions while providing stability during consolidation.
Signal Generation
The indicator uses a two-stage signal process:
Trend Identification : Price position relative to LHAMA determines basic trend bias
Slope Confirmation : ATR-normalized slope analysis confirms momentum direction
Signal Timing : Buy/sell signals only trigger when trend direction and slope momentum align
Visual Components
LHAMA Line : The adaptive baseline with optional angle-based gradient coloring that visualizes momentum strength
Trend Clouds : Dynamic fill areas that adapt to the last confirmed signal direction
ATR Halo : Opposite-side ATR band providing optional additional context for stop-loss placement
Confirmation Signals : Clear BUY/SELL labels only appear after full confirmation
How to Use
Basic Setup
Apply to any timeframe and symbol
Default LHAMA length of 15 periods works well for most applications
Accuracy depends greatly on chart timeframe and symbol, so make sure to backtest before relying on any signals. For example, ES and NQ work best on the 15m timeframe while GC and CL work best on the 5m.
Enable daily reset for equity markets to handle overnight gaps
Signal Interpretation
Immediate Heads-up : Small triangles show instant trend changes for awareness. These are your warnings to get ready to buy or sell if price takes off. (If many triangles are being printed in both directions, that is a warning that the market is ranging and you should not blindly follow a BUY/SELL signal without additional confirmation.)
Confirmed Signals : BUY/SELL labels appear only after slope confirms the direction
Cloud Color : Locked to the last confirmed signal direction for clear regime identification
Advanced Features
Flat Threshold : Adjust the angle threshold to filter out sideways market noise
Gradient Mode : Toggle between classic supertrend coloring and momentum-based gradients
ATR Halo : Use the opposite-side cloud as a more generous trailing stop level
Risk Management
The indicator provides multiple levels for stop-loss placement:
Tight : Edge of the main trend cloud
Standard : The LHAMA Line itself
Generous : ATR halo boundary
Best Practices
Timeframe Selection : Not all timeframes on all symbols are created equal. Make sure to scroll to the left and verify that your current chart timeframe isn't throwing out tons of bad signals. This will be easy to spot as it show up as constant rapid flipping from buy to sell.
Market Conditions : Performs best in trending markets. The flat threshold setting helps filter out poor performance during strong sideways action, but no indicator is perfect.
Confirmation : Wait for confirmed BUY/SELL signals rather than acting on immediate trend flips for better risk-adjusted returns.
Key Parameters
LHAMA Length (15) : Controls the lookback period for adaptive calculation
Daily Reset : Helps maintain accuracy across overnight gaps
Flat Threshold (5°) : Filters out low-momentum signals
Volume Weighting : Enhances adaptation during high-volume periods
Alerts
The indicator provides two alert types:
"BUY (confirmed)": Triggers when bullish trend and upward slope align
"SELL (confirmed)": Triggers when bearish trend and downward slope align
These alerts fire only on confirmed signals, not on immediate price crossovers, providing higher-quality notifications.
Innovation Summary
This indicator advances trend-following methodology by introducing adaptive baseline calculation, intelligent signal confirmation, and comprehensive visual feedback systems. The combination of LHAMA adaptation, slope-based confirmation, and multi-layered risk management tools creates a more sophisticated approach to trend analysis than traditional supertrend indicators.
The result is a tool that maintains responsiveness during trending conditions while providing stability during consolidation, with clear visual cues for entry, exit, and risk management decisions.
Trendlar VSATrendlar VSA
Summary
Welcome to Trendlar VSA , a powerful and fully adaptive indicator based on the principles of Volume Spread Analysis (VSA). This tool is designed to identify high-probability, trend-following entries by analyzing the relationship between price action, volume, and market structure.
Developed by AbubakarShf , this script is well-optimized for all timeframes, from scalping on the 1-minute chart to swing trading on the daily chart. It uses smart, adaptive settings to provide a clean and intuitive trading experience.
How to Trade with Trendlar VSA: A Simple Guide
This strategy is based on a simple, three-step process: Trend -> Setup -> Entry.
1. How to Read the Trend
Look at the colored background and the Trend Status dashboard in the top-right corner.
Green Background / BULLISH Status: The market is in an uptrend. Only look for BUY signals.
Red Background / BEARISH Status: The market is in a downtrend. Only look for SELL signals.
2. How to ENTER a Trade
Your entry signal is a large arrow that appears on the chart.
BUY Signal (Green Arrow): This appears when the indicator detects a pullback in an uptrend and then sees a strong momentum candle that signals the trend is resuming.
SELL Signal (Red Arrow): This appears after a pullback in a downtrend, when a strong momentum candle signals the downtrend is continuing.
3. How to HOLD a Trade
The most professional way to manage a trade is by using the market structure lines.
If you are in a BUY trade: Hold the position as long as the price remains ABOVE the dashed green "Trend Low" line.
If you are in a SELL trade: Hold the position as long as the price remains BELOW the dashed red "Trend High" line.
4. How to EXIT a Trade
Your primary exit signal is a break of the market structure.
Exit a BUY Trade: If a candle breaks and CLOSES BELOW the "Trend Low" line, it is a strong signal that the uptrend is failing and it's time to take profit or close the position.
Exit a SELL Trade: If a candle breaks and CLOSES ABOVE the "Trend High" line, it signals the downtrend is likely over and it's time to exit.
Understanding the Symbols on Your Chart
BOS (Break of Structure): This marks the point where the price broke a previous high (in an uptrend) or low (in a downtrend). It confirms that the current trend is still strong.
Trend Low (Green Dashed Line): This is the "floor" of the uptrend. It marks the last significant low point. As long as the price is above it, the uptrend is healthy.
Trend High (Red Dashed Line): This is the "ceiling" of the downtrend. It marks the last significant high point. As long as the price is below it, the downtrend is healthy.
Settings Overview
Settings Mode:
Automatic (Recommended): The indicator automatically uses the best settings for your current timeframe. It uses a 21/50 EMA for scalping (1m-5m) and a 50/200 EMA for swing trading (15m+).
Manual: Gives you full control to adjust every parameter to your liking.
Session Filter: Individually check the boxes for the London, New York, and Asian sessions to only see signals during your preferred trading hours.
Visual Toggles: You can turn any visual element on or off to keep your chart clean.
Disclaimer & Credits
This indicator is a tool for technical analysis and should not be considered financial advice. All trading involves risk. Please backtest and use proper risk management.
Strategy & Development: AbubakarShf (hi@abubakarshf.dev | @abubakar.shf)
Ichimoku Kinkō Hyō - refactored 2025**Ichimoku Kinkō Hyō (Refactored 2025) — Beta**
A modern, no-nonsense Ichimoku built for operational analysis.
* **Core v6 Ichimoku:** Tenkan, Kijun, Senkou A/B, and Chikou with a dynamic window and vivid color palette.
* **Smart Panel (0–100%):** 10 rows (TK, Kumo, Kijun, SB, Twist, Price-TK, Hidden-Kijun, ATR, Chikou, Flat SB), weighted dominance score, optional “Respect filters” (ATR/Chikou).
* **Filters:** HA-aware volume engine (OBV/KVO/VZO/TFS/CVD) and **ATR expansion** detection.
* **Auto S/R Zones:** TK, Kumo, Kijun, Senkou-B, Kumo-Twist, **Flat SB**, Chikou, Hidden-Kijun, Price-Tenkan, ATR, with capping and visibility controls.
* **TK-Range Highlight:** yellow box while price sits between Tenkan/Kijun. *Currently simple N-bars persistence — smarter logic coming.*
* **Fibonacci 161.8%:** automatic target from the latest swing (dashed guide + label).
* Optional **fancy Kumo gradient** and **bar coloring** for bull/bear/consolidation.
**Repaint & MTF**
No lookahead on series; Senkou is projected with the standard lead. **Alerts** trigger on bar close. The panel and colors can evolve intrabar.
**Inputs**
Organized under Style, Filters, Signals, Zones, and Ranges & Targets. Chikou colors and thresholds are configurable.
**Roadmap (beta)**
– Smarter TK-Range extension • – Visual markers for swing anchors in the 161.8% module.
> Educational use only. No performance guarantee. License: MPL-2.0.
> Feedback is welcome to stabilize v1.
PRZTAK Indicator — Prob v6 + Live Checklist “A rules-driven trading system built on the PRZTAK edge, combining multi-timeframe trend alignment, The Strat candle structure, and ICT liquidity concepts to pinpoint high-probability entries near key pivots. It enforces strict confirmation through a 5-point checklist—covering trend, liquidity sweeps, trigger levels, stops, and targets—designed to avoid chop, filter out weak setups, and capture early expansion moves with precision.”
ORB Session Breakouts with alerts"ORB Breakouts with Alerts" is a utility indicator that highlights an Opening Range Breakout (ORB) setup during a user-defined intraday time window. It allows traders to visualize price consolidation ranges and receive alerts when price breaks above or below the session high/low.
🔧 Features:
*Customizable session time (start and end), adjustable to local time using a timezone offset.
*Automatically plots:
*A shaded box around the session's high and low.
*Horizontal lines at session high and low levels.
*Optional "BUY"/"SELL" labels to mark breakout directions.
*Visual breakout signals when price crosses above or below the session range.
*Built-in alerts to notify when breakouts occur.
*Configurable styling options including box color, highlight color, and label placement.
⚙️ How It Works:
*During the defined time range, the script tracks the highest high and lowest low.
*After the session ends:
*A box is drawn to represent the opening range.
*Breakouts above the high or below the low trigger visual markers and optional alerts.
*Alerts are limited to one per direction per day to reduce noise.
⚠️ This indicator is a technical analysis tool only and does not provide financial advice or trade recommendations. Always use with proper risk management and in conjunction with your trading plan.
Armex Pro
After months of development, testing, and fine-tuning, I’m proud to present a powerful all-in-one tool designed to take your trading analysis to the next level.
🔹 Key Features:
Order Block Detection – Identify high-probability trading zones with precision.
Support & Resistance Lines – Automatically detect key market levels for better decision-making.
Three Strategy Signals – Multiple entry/exit strategies to suit different trading styles.
Pullback Zone Highlight – Spot retracement opportunities instantly.
Custom Notes Section – Keep your trading plan and rules visible directly on your chart.
15-Currency Signals Table – Monitor multiple pairs at a glance.
Dual Moving Averages – Track trends with two customizable MAs.
Session Time Selector – Focus on the trading hours that matter most to you.
Multiple Alerts – Never miss a trade opportunity with a wide range of alarm settings.
Broken Candle Indicator – Quickly identify candle breaks for price action confirmation.
✨ Why This Indicator?
Every feature has been carefully designed to save you time, improve your accuracy, and keep your trading organized. This project required a lot of dedication, testing, and passion to ensure it meets the needs of serious traders.
RED-E HH/LL Identifier with Order Blocks (Box Style)📄 Description:
This indicator detects and visually highlights structural price pivots — Higher Highs (HH), Lower Lows (LL), Higher Lows (HL), and Lower Highs (LH) — across selectable intraday timeframes (2m, 5m, 15m).
🧠 How It Works:
It identifies key pivot points using ta.pivothigh() and ta.pivotlow() logic.
When a new structural level is found:
A bold label is plotted (e.g., “Higher High”).
An order block-style box is drawn around the pivot level, indicating price reaction zones.
Colors:
🟦 Baby Blue = Higher High
🟪 Purple = Lower Low
🟧 Orange = Lower High
🟩 Green = Higher Low
Boxes are plotted at a customizable percentage height above and below the level.
Alerts are built-in for all four patterns using alertcondition().
⚙️ Settings:
Adjustable pivot lookback period
Optional toggle to show HL/LH (secondary structure points)
Customizable box height
🛠️ Use Cases:
Structural trend identification
Order block and liquidity zone visualization
Confirmation for price action traders
Visual aid for swing/momentum-based strategies
EMA Supertrend by JaeheeEMA SUPERTREND
What it is
• Uses a 5-EMA stack to define clear bullish or bearish regimes.
• Optional ATR-based spacing filter ensures each adjacent EMA gap exceeds ATR × multiplier.
• Requires confirmation bars for cleaner regime flips and reduced noise.
• ADX filter ensures only strong, valid trends trigger a regime switch.
• Visual highlights include background color changes, a center EMA line with glow, and one signal per regime shift.
• All labels remain in history for easy chart review.
How it works (concept)
• EMA stacking • Bullish = EMA1 > EMA2 > EMA3 > EMA4 > EMA5 • Bearish = reverse order
• ATR spacing filter • If Min Spacing by ATR > 0, each EMA gap must be > ATR × multiplier to qualify
• Confirmation streak • Trend conditions must persist for confirmBars bars before a flip is confirmed
• Trend strength filter • Requires ADX ≥ adxMin to allow a regime switch
• Regime flip & signal • Only triggers once per direction change, with a triangle marker and “Uptrend/Downtrend” label
• Visualization • Bullish background = blue, Bearish background = burgundy • Center line = average of 5 EMAs, color-coded by trend direction • Individual EMA colors are retained in settings (plots hidden)
Why this combination
• EMA stacking offers clearer, less noisy trend context
• ATR spacing filter avoids weak or overly compressed stacks
• Confirmation + ADX ensures high-quality trend signals
• Background and center line improve quick visual interpretation
How to read it (context, not signals)
• Blue background + “Uptrend” label + upward triangle → bullish regime confirmed
• Burgundy background + “Downtrend” label + downward triangle → bearish regime confirmed
• Labels and markers are for context only, not direct trade entries
Key Inputs
• EMA settings • EMA 1/2/3/4/5 lengths • Trend Confirm Bars • Min Spacing by ATR
• Trend quality • ADX Length • ADX Minimum
• Visualization • Show Regime Background • Background opacity • Label colors • Signal marker colors
Alerts
• EMA REGIME LONG → Fires once when bullish regime confirmed
• EMA REGIME SHORT → Fires once when bearish regime confirmed
Limitations & good practice
• Regime flips confirm at bar close, can change intra-bar
• ATR spacing may delay signals in low-volatility markets
• This is not a strategy and makes no performance claims
• Always use alongside your own entry, exit, and risk management rules
Scalping Signals by Jaehee SCALPING SIGNALS
What it is
• Designed for intraday/scalping traders, this tool combines RSI extremes + ADX trend strength + previous high/low breakouts + above-average volume to generate long/short context signals.
• Includes a cooldown (minInterval) logic to reduce repetitive same-direction alerts.
• Comes with built-in alertcondition for both long and short signals.
How it works (concept)
• RSI context • Uses a short RSI (default 7) to identify overbought/oversold zones (80/20) and detect momentum shifts (rsiUp / rsiDown).
• ADX strength • Uses a manually computed ADX and only accepts candidate signals when ADX ≥ adxThresh to ensure trend quality.
• Price structure • Confirms breakouts beyond the previous high/low (close > prevHigh or close < prevLow) for structural validation.
• Volume filter • Requires volume to exceed the 20-bar SMA to validate signals.
• Direction lock • Tracks the last signal direction and enforces a minimum bar spacing (minInterval) before allowing the same direction again.
• Final signal • When all conditions align, plots triangleup/triangledown markers for a single clean signal.
Why this combination (justification)
• Single conditions produce noise → combining RSI extremes + ADX strength + structure breakout + volume filters out low-quality setups.
• Scalping can easily overtrade → direction lock + minInterval helps prevent repetitive entries.
• Public users benefit from visual markers + alerts for instant recognition without needing extra panels.
How to read it (context, not signals)
• Long candidate • RSI in/near recent lows, turns upward, ADX ≥ threshold, price breaks above previous high, volume above average → plots triangle up.
• Short candidate • RSI in/near recent highs, turns downward, ADX ≥ threshold, price breaks below previous low, volume above average → plots triangle down.
• No entry/exit rules built-in — confirm with your own strategy.
Inputs (key parameters)
• RSI • Source (rsiSrc), length (rsiLen), extreme check lookback (rsiLookback).
• ADX • Length (adxLen), minimum strength (adxThresh).
• Volume • SMA length (volLen).
• Risk control • minInterval (minimum same-direction spacing in bars).
Alerts
• Long Signal → “RSI + ADX + Structure + Volume → Long Signal”
• Short Signal → “RSI + ADX + Structure + Volume → Short Signal”
Limitations & good practice
• This indicator is not a strategy and does not guarantee future performance.
• Choppy/low-liquidity conditions may reduce breakout signal quality.
• Always combine with multi-timeframe confirmation, risk management, and awareness of slippage/fees.
Auto Fibonacci Golden Zone by Jaehee📌 AUTO FIBONACCI GOLDEN ZONE — Auto Swing Detection with Key Level Highlights
WHAT THIS DOES
• Automatically detects the latest swing high and swing low within your chosen lookback range.
• Plots Fibonacci retracement levels: 1.000, 0.786, 0.618, 0.500, 0.382, 0.236, 0.000.
• Highlights 0.618 (“golden pocket”) and 0.500 as high-interest zones.
• Displays ratio + price labels to the right for quick reference without moving the cursor.
HOW IT WORKS
• Scans the last N bars (default 150) to locate the highest high and lowest low.
• Determines swing direction automatically: if the low forms first → up-leg, if the high forms first → down-leg.
• Calculates retracement prices and plots each level with a thin core line plus two glow layers (opacity adjustable).
• Clears and redraws lines and labels whenever a new swing is found — keeping the chart clean.
WHY THIS SETUP
• Saves time compared to manually anchoring Fib tools for each new swing.
• Highlights the golden pocket (0.618) and midpoint (0.500) — zones many traders watch for pullbacks or reactions.
• Positions labels to the right so they never overlap active candles.
HOW IT’S DIFFERENT FROM THE STANDARD FIB TOOL
• Automatic swing detection — no manual point selection.
• Built-in highlight logic for key levels.
• Clean redraw to prevent leftover lines or labels.
• Right-side label offset for readability in volatile price zones.
HOW TO READ IT (CONTEXT ONLY)
• In an up-leg, the 0.382–0.618 zone is often monitored for pullback reactions; 0.500 can act as a midpoint marker.
• In a down-leg, retracements into the 0.382–0.618 zone can be watched for selling pressure.
• Always confirm with structure, volume, and momentum tools — this indicator is not a standalone trade signal.
INPUTS
• Lookback Bars — swing detection range.
• Fib Line Color / Highlight Line Color — control standard vs. key level colors.
• Label Offset Bars — shift labels away from current price.
• Glow 1 & Glow 2 Opacity — adjust background glow visibility.
DESIGN NOTES
• Thin lines for precision, glow layers for visibility without overpowering candles.
• Overlay display — no extra panel needed.
• All elements clear and redraw automatically to avoid clutter.
LIMITATIONS & BEST PRACTICES
• Levels update whenever a new swing forms within the lookback range — historical lines are not fixed.
• Fib retracements are reference zones only, not guarantees of reversal.
• Best used with confluence factors like S/R flips, market structure, and volume analysis.
• No alerts, no performance claims — purely a market context tool.
DEFAULTS & SCOPE
• Works on all OHLCV instruments and timeframes.
• No repainting after swing confirmation.
AUTHOR’S NOTE FOR REVIEW
This is not a repackaged Fib tool. It combines automatic swing detection, golden pocket highlighting, and a clean redraw process to make retracement analysis faster and clearer. It provides context only, with no predictive or performance claims.
ICT Concepts(Liquidity, FVG & Signals)ICT Refined – Liquidity, FVG & Swing Mapping with Gap Detection
This indicator integrates three institutional price action concepts — refined liquidity sweep detection, persistent Fair Value Gap tracking, and swing extreme mapping — into a single, performance-oriented visualization framework. It is designed to help traders identify where price is likely to react, not to predict exact market direction.
Core Components
1. Liquidity Sweep Detection (BUY LQ / SELL LQ)
• Scans for sweeps of equal highs/lows within a user-defined lookback period.
• Confirms sweeps only when accompanied by a volume spike relative to a moving average baseline.
• Includes a cooldown filter to prevent clustering of signals in choppy conditions.
• Differentiates bullish and bearish sweeps with separate on-chart labels.
2. Fair Value Gap (FVG) Mapping
• Detects classic 3 -bar FVGs and gap-at-open imbalances .
• Draws shaded boxes that extend forward in time until price closes through the opposite edge (directional fill logic).
• Includes opacity and box-limit controls to balance clarity and performance.
3. Swing High/Low Tracking (OB Proxy Levels)
• Plots the highest and lowest prices within a configurable lookback as potential order block or liquidity areas.
• Works as static reference levels for confluence with FVGs and sweeps.
Integration Logic
These elements work together to highlight confluence zones:
• A bullish liquidity sweep occurring inside a bullish FVG may indicate a stronger reaction area.
• A bearish sweep into an unfilled bearish FVG near a swing high can suggest a potential rejection zone.
• Combining volume-confirmed sweeps with unfilled imbalances filters out low-quality levels.
Visual Elements
• Purple Lines → Equal High/Low liquidity zones, extended until invalidated.
• Teal Boxes → Bullish FVGs.
• Orange Boxes → Bearish FVGs.
• Red Line → Swing High (OB proxy).
• Green Line → Swing Low (OB proxy).
• BUY LQ / SELL LQ Labels → Liquidity sweep signals confirmed by volume and cooldown.
How to Use
• Directional Bias : Use swing structure and liquidity sweeps to set bias.
• Reaction Levels : Monitor unfilled FVGs as potential continuation or reversal zones.
• Trade Filtering: Combine multiple components (e.g., sweep + FVG + volume) before considering a trade.
What Makes It Original
• Gap-at-open imbalance detection to catch overnight session inefficiencies.
• Directional fill logic — FVGs are removed only when closed through in the relevant direction.
• Cooldown-controlled liquidity sweep signals to improve clarity in volatile sessions.
• Dynamic visual management — reuses and updates plotted elements to avoid chart clutter.
Disclaimer: This tool is for educational and analytical purposes only. It is not a trading system, and it does not provide financial advice. Always perform your own research and risk management.
Apaar Riddhi Trend v1Apaar Riddhi Trend . An Indicator for Trend indication
There are two options
1. Sustained Buying Pressure . Logic on defining sustained buying pressure emerged from web site Simpler Trading TTM Squeeze by John Carter In a stock Sustained buying pressure is indicated when average closing price of prior 6 bars is in the upper 50% of the trading range.
2. Averages of Highs and Lows . Logic : A bar is classified based on where it stands relative to moving averages of highs and lows:
• avghh → bullish bias: High above avg high (clean breakout up) OR both high above avg high & low below avg low but with stronger upward move than downward.
• avgll → bearish bias: Low below avg low (clean breakout down) OR both breaks above/below averages but with stronger downward move."
// © ApaarOne // © Apaar.1 // © AMRx
Multi-Stock Signals Dashboard(Mastersinnifty)Description
The Multi-Stock Signals Dashboard displays real-time BUY, SELL, or NEUTRAL signals for multiple symbols across three user-selected timeframes in a compact on-chart table.
It uses a custom “scalper” trend detection method based on RSI smoothing and ATR-style band calculations to highlight potential entry or exit points.
Ideal for traders who monitor several instruments at once and want quick, visual decision support.
How It Works
Calculates RSI with user-defined parameters, smooths the values, and derives adaptive upper/lower bands.
Generates a BUY signal when price or RSI crosses above the upper band and a SELL signal when crossing below the lower band.
Checks the trend direction on each of the three selected timeframes for each chosen symbol.
Displays the symbol, signal type, and current price in a table with theme-adaptive colors.
Supports both light and dark chart backgrounds for optimal visibility.
Inputs
Display : Table position, table size, dark/light chart toggle.
Symbols : Up to 5 symbols to track.
Timeframes : Three custom timeframes for multi-timeframe analysis.
Scalper logic parameters (fixed in this version).
Use Case
Multi-asset traders wanting a quick overview of signal direction across different markets.
Scalpers monitoring short-term setups on several timeframes simultaneously.
Swing traders confirming alignment of signals before taking a position.
Desk traders tracking index + sector leaders for rotational opportunities.
Disclaimer
This indicator is for educational purposes only.
It does not constitute financial advice and should not be used as the sole basis for trading decisions.
Always perform your own research and risk management before executing any trade.
future pivot points## What This Script Does
This Pine Script indicator analyzes historical market structure to project potential future turning points using advanced mathematical relationships between pivot points.
### **Core Functionality:**
1. **Market Structure Analysis**: Identifies significant swing points in price action through open source pivot detection algorithm ( Luxalgo ) .
2. **Time-Based Projections**: Uses mathematical relationships between historical pivots to project future time zones where market activity may concentrate.
3. **Confluence Detection**: Calculates and displays areas where multiple projections overlap, indicating higher probability zones.
4. **Advanced Pattern Recognition**: Includes supplementary detection methods to capture market structure that standard analysis might miss.
### **Understanding the Numbers:**
The numbers that appear on your chart represent **confluence strength** - how many time projections are overlapping at that specific point:
- **1**: Minimal confluence - possible minor activity
- **2-3**: Good confluence - significant time zone, watch for potential reversals
- **4-5**: Strong confluence - high probability turning point zone
- **6+**: Extreme confluence - major time zone, often marks significant market events
### **How to Use It:**
**1. Timing Market Movements**
- Anticipates when significant market events might occur rather than just where
- Confluence zones of 2+ suggest meaningful potential for market activity
**2. Strategic Trade Planning**
- **Entry Strategy**: Look for price action signals (patterns, support/resistance) when approaching zones marked 2 or higher
- **Exit Strategy**: Consider taking profits or tightening stops near upcoming confluence areas
- **Avoid Entry**: Be cautious entering new positions just before confluence zones
**3. Risk Management**
- Assists in avoiding entries before potential reversal zones
- Helps optimize position management around key time periods
- Identifies periods of expected volatility
**4. Market Rhythm Analysis**
- Reveals underlying market cycles and patterns
- Shows relationships between past and future market behavior
- Useful for multiple trading timeframes
**5. Noise Reduction**
- Filtering capabilities focus attention on most significant zones
- Customizable parameters allow adaptation to different market conditions
- Reduces analysis paralysis by highlighting key areas
### **Practical Trading Approach:**
1. **Preparation**: Note upcoming confluence zones (numbers 2+) on your chart
2. **Confirmation**: As price approaches these zones, look for confirming signals from your other indicators
3. **Action**: Use the time zones to enhance your existing strategy timing, not as standalone signals
4. **Management**: Adjust position sizes and stops based on proximity to confluence zones
The indicator works best when combined with price action, volume, and other technical tools - treating the time projections as alerts for when to pay closer attention to the market rather than automatic buy/sell signals.
Support and Resistance Lines by Jaehee📌 SUPPORT AND RESISTANCE LINES — PIVOT-BASED AUTOMATIC S/R WITH DYNAMIC FLIP
🔍 WHAT IT IS
• Automatically detects and plots support and resistance levels based on recent pivot highs and lows
• Groups nearby pivots into channels, then draws the channel mid-point as a horizontal line across the chart
• Resistance lines are shown in red, support lines in blue, both with dual glow layers for visibility
• Includes dynamic S/R flip — when price closes beyond a level, it switches role (support ↔ resistance) and updates its color in real time
⚙️ HOW IT WORKS
• Pivot Detection — Scans recent bars for highs and lows using a configurable lookback period
• Channel Clustering — Merges pivots within a set percentage of the recent range into a single channel
• Strength Filtering — Keeps only channels with a minimum number of touches
• Dynamic Flip — Automatically changes support to resistance and vice versa when broken
• Line Plotting — Draws each channel’s mid-price as a solid line extending in both directions
💡 WHY THIS COMBINATION
• Manual S/R drawing is slow and subjective
• Combines pivot detection, clustering, strength filtering, and dynamic flip to produce objective, evolving levels
• Dual glow layers ensure levels stay visible even on crowded charts
🆚 HOW IT DIFFERS FROM COMMON S/R INDICATORS
• Dynamic clustering — Merges nearby pivots into cleaner, more useful levels
• Strength metric — Ranks levels by the number of touches to reduce noise
• Dual glow layers — Improves readability on any chart theme
• Dynamic S/R flip — Instantly updates line type and color when levels are broken
• Full customization — Adjust pivot period, channel width %, maximum levels, colors, widths, and glow transparency
📖 HOW TO READ IT (CONTEXT, NOT SIGNALS)
• Trend continuation — Break and close beyond a strong level can indicate continuation
• Reversal zones — Multiple strong levels in a tight range can signal potential turning points
• Trading range — Boundaries formed by these lines can define range-bound market conditions
• S/R flip — Support becomes resistance when broken, and resistance becomes support when broken, shown visually in real time
🛠 INPUTS
• Pivot period length
• Source: High/Low or Close/Open
• Maximum pivots and S/R levels
• Maximum channel width %
• Minimum strength (touches)
• Label location offset for pivot markers
• Colors and line widths for resistance, support, and glow layers
🎨 DESIGN NOTES
• Lines extend fully across the chart for continuous reference
• Adjustable glow transparency for both resistance and support
• Optional pivot point labels for cleaner visuals
• Real-time calculation on the selected timeframe
• Automatic visual flip between support and resistance
⚠️ LIMITATIONS AND GOOD PRACTICE
• Past levels do not guarantee future reactions
• Strength is based on historical touches only
• Best used with trend, momentum, or volume confirmation
• Not a strategy — no performance claims
📂 DEFAULTS AND SCOPE
• Works on any OHLCV instrument
• No repainting after levels are confirmed
Matrix bands by JaeheeMatrix Bands — multi-sigma EMA bands for price dispersion context (no signals)
📌 What it is
Matrix Bands draws an EMA-based central line with multiple standard-deviation envelopes at ±1σ, ±1.618σ, ±2σ, ±2.618σ, ±3σ.
Thin core lines show the precise band levels, while subtle outer “glow” lines improve readability without obscuring candles.
📌 How it works (concept)
Basis: EMA of the selected source (default: close)
Dispersion: Rolling sample standard deviation over the same length
Bands: Basis ± k·σ for k ∈ {1, 1.618, 2, 2.618, 3}
This is not a strategy and does not generate trade signals.
It provides price dispersion context only.
📌 Why these levels together (justification of the combination)
Using multiple σ layers reveals graduated risk zones in one view:
±1σ: routine fluctuation
±1.618σ & ±2σ: extended but still common excursions
±2.618σ & ±3σ: statistically rare extremes, where mean-reversion risk or trend acceleration risk increases
Combining these specific multipliers allows traders to judge positioning vs. volatility instantly, without switching between separate indicators or re-configuring a single band.
📌 How it differs from classic Bollinger Bands
Unlike classic Bollinger Bands, which typically use an SMA basis and only ±2σ envelopes,
Matrix Bands uses an EMA basis for faster trend responsiveness and plots five sigma levels (±1, ±1.618, ±2, ±2.618, ±3).
This design allows traders to visualize market dispersion across multiple statistical thresholds simultaneously, making it more versatile for both trend-following and mean-reversion contexts.
📌 How to read it (context, not signals)
Mean-reversion context: Moves beyond ±2σ may indicate stretched conditions; wait for your own confirmation signals before acting
Trend context: In strong trends, price can “ride” the outer bands; sustained closes near +2σ~+3σ (uptrend) or −2σ~−3σ (downtrend) suggest persistent momentum
Regime observation: Band width expands in high volatility and contracts in quiet regimes; adjust stops and sizing accordingly
📌 Inputs
BB Length: lookback period for EMA and σ (default: 20)
Source: price source for calculations
📌 Design notes
Thin inner lines = exact levels
Soft outer lines = readability “glow” only; no effect on calculations
Overlay display keeps the chart uncluttered
📌 Limitations & good practice
No entry/exit logic; use with your own strategy rules
Volatility interpretation varies by timeframe
Past patterns do not guarantee future outcomes; risk management is essential
📌 Defaults & scope
Works on any symbol with OHLCV
No alerts, no strategy results, no performance claims
Swing Momentum Screener - stable v5 (2-6 wk)Playing with GPT5, i'm trying to see if it could make a swing trade indicator based on some conditions i have. I'm not expecting much. but i would like the communities input. have a look and thank you