Chart VWAP█ OVERVIEW
This indicator displays a Volume-Weighted Average Price anchored to the leftmost visible bar of the chart. It dynamically recalculates when the chart's visible bars change because you scroll or zoom your chart.
If you are not already familiar with VWAP, our Help Center will get you started. The typical VWAP is designed to be used on intraday charts, as it resets at the beginning of the day. Our Rolling VWAP , instead, resets on a rolling time window. You may also find the VWAP Auto Anchored built-in indicator worth a try.
█ HOW TO USE IT
Load the indicator on an active chart (see the Help Center if you don't know how). By default, it displays the chart's VWAP in orange and a simple average of the chart's visible close values in gray. This average can be used as a companion to the VWAP, since both are calculated from the same set of bars. The script's settings allow you to hide it.
You may also use the script's settings to enable the display of the chart's OHLC (open, high, low, close) levels and the values of the high and low. These are also calculated from the range of visible bars. You can complement the high and low lines with their price and their distance in percent from the chart's latest visible close . You can use the levels to quickly identify the distances from extreme points in the visible price range, as well as observe the visible chart's beginning and end prices.
█ NOTES FOR Pine Script™ CODERS
This script showcases three novelties:
• Dynamic recalculation on visible bars
• The VisibleChart library by PineCoders
• The new `anchor` parameter of ta.vwap()
Dynamic recalculation on visible bars
This script behaves in a novel way made possible by the recent introduction of two new built-in variables: chart.left_visible_bar_time and chart.right_visible_bar_time , which return the opening time of the leftmost and rightmost visible bars on the chart. These are only two of many new built-ins in the `chart.*` namespace. See this blog post for more information, or look up them up by typing "chart." in the Pine Script™ Reference Manual .
Any script using chart.left_visible_bar_time or chart.right_visible_bar_time acquires a unique property, which triggers its recalculation when traders scroll or zoom their chart, causing the range of visible bars to change. This new capability is what makes it possible for this script to calculate its VWAP on the chart's visible bars only, and dynamically recalculate if the user scrolls or zooms their chart.
This script is just a start to the party; endless uses for indicators that redraw on changes to the chart will no doubt emerge through the hands of our community's Pine Script™ programmers.
The VisibleChart library by PineCoders
The newly published VisibleChart library is designed to help programmers benefit from the new capabilities made possible by the fact that Pine Script™ code can now tell when it is executing on visible bars. The library's description, functions and example code will help programmers make the most of the new feature.
This script uses three of the library's functions:
• `PCvc.vVwap()` calculates a VWAP for visible bars.
• `PCvc.avg()` calculates the average of a source value for visible bars only. We use it to calculate the average close (the default source).
• `PCvc.chartXTimePct(25)` calculates a time value corresponding to 25% of the horizontal distance between visible bars, starting from the left.
The new `anchor` parameter of ta.vwap()
Our script also uses this new `anchor` parameter to reset the VWAP at the leftmost visible bar. See how simple the code is for the VisibleChart library's `vVwap()` function.
Look first. Then leap.
在脚本中搜索"chart"
Charting the US02Y-US10YPutting together a script that charts the US02Y - US10Y in visual format. First script I've ever written and would like some feed back as to how I could improve. Also currently have to turn on "Indicator Last Value Label, and Indicator Name Label" if you would like data to appear on the chart. Works best when the US02Y-US10Y chart is being displayed!
Gap ZonesThis TradingView indicator automatically detects daily price gaps and plots them clearly on any timeframe (intraday or daily).
It helps visualize where unfilled gaps are sitting, track whether they’ve been filled, and control how far the zone extends.
Key Features
1. Daily Gap Detection
• Works even when you’re on intraday charts (uses daily OHLC data).
• Marks both gap up (potential support zones) and gap down (potential resistance zones).
2. Shaded Gap Zones
• Each gap is highlighted as a band (greenish for up, reddish for down).
• Option to turn shading off if you just want horizontal lines.
3. Hide When Filled
• Once price closes or touches the far side of the gap, it disappears (configurable: Touch vs Close).
4. Lookback Window
• Gaps only show if they occurred within the past X trading days (default: 30).
• Prevents your chart from being cluttered with ancient gaps.
5. Multiple Gaps Tracked
• Can track up to 5 recent gaps simultaneously.
• Oldest gaps “roll off” as new ones form.
6. Finite Right-Edge Guides
• Optional horizontal guide lines extend to the right, but only for a fixed number of bars (default: 50).
• Cleaner than infinite extensions.
7. Gap-Day Marker
• Optional vertical line drawn on the bar where the gap first occurred.
⸻
⚙️ Inputs & Settings
When you apply the indicator, you’ll see these options:
• Lookback (trading days): How far back to scan for gaps (default 30).
• Max gaps to show (1..5): How many simultaneous gap zones to display.
• Min gap size (% of prior close): Filter out tiny gaps (default 0.25%).
• Hide gaps once filled: Removes a gap from the chart once filled.
• Fill rule uses CLOSE (off = Touch):
• Touch = filled when price trades through the level intraday.
• Close = filled only when a candle close crosses it.
• Show shading: Toggle zone fills on/off.
• Show vertical marker on gap day: Toggle gap-day marker line.
• Show finite right-edge lines: Toggle horizontal lines extending right.
• Right line length (bars): How far those lines extend (default 50 bars).
⸻
🟢 How to Use It
1. Apply on Any Chart
• Works best on daily or intraday (5m, 15m, 1h).
• Gaps are always calculated from daily data, so intraday charts will show higher-timeframe gaps correctly.
2. Interpret Colors
• Green shading = Gap Up (often acts as support).
• Red shading = Gap Down (often acts as resistance).
3. Watch for Fills
• When price re-enters the gap zone, the indicator checks if it’s “filled” (based on your Touch/Close setting).
• If “Hide When Filled” is on, the zone vanishes.
4. Trade Context
• Many traders use gaps as targets (expecting a fill) or levels of support/resistance.
• Combined with your bull put/bear call spread strategies, it helps confirm strong levels.
Power Hour Breakout Signals [LuxAlgo]The Power Hour Breakout tool helps traders identify key price levels from the Power Hour and spot breakouts from those levels easily. This tool features Power Hour extensions, Fibonacci levels, and session break marks for the trader's convenience.
🔶 USAGE
The Power Hour is defined as the last hour of the trading session and is set by default from 3:00 p.m. to 4:00 p.m. New York time. During this period, volume and volatility enter the market. Traders using higher timeframes may use this period to enter or exit positions by placing MOC (Market on Close) orders.
This tool highlights the Power Hour and the top and bottom price levels. Each time prices break out from these levels, a signal is displayed on the chart.
We can use the Power Hour to gauge market sentiment:
Bullish sentiment: Price trades above the Power Hour.
Mixed sentiment: Price trades within the Power Hour.
Bearish sentiment: Price trades below the Power Hour.
🔹 Displaying Power Hours and Breakouts
By default, all detected Power Hours are displayed. Traders can manually adjust this number by disabling the "Display All" parameter in the Settings panel.
Breakouts are displayed by default, too, but this feature can be disabled as well.
The chart above shows different configurations of these parameters.
🔹 Power Hour Extensions
Traders can use Power Hour extensions as potential targets for breakout signals.
In the settings panel, traders can select the percentage of the Power Hour price range to use for each extension. For example, 100% uses the full range, 200% uses the range twice, and so on.
As seen on the chart, traders can configure different percentages for the top and bottom extensions.
🔹 Fibonacci Levels
Traders can display default or custom Fibonacci levels on the Power Hour range to identify retracement opportunities and evaluate market movement strength. Each level can be enabled or disabled, as well as customized by level, color, and line style.
For example, as we can see on the chart, prices attempt to break out at the Power Hour top level, then retrace to the 0.618 Fibonacci level, and then rise to the 200% Power Hour top extension.
🔶 SETTINGS
Display Last X Power Hours: Select how many Power Hours to display or enable the Display All feature.
Power Hour (NY Time): Choose a custom Power Hour in New York time.
🔹 Breakouts
Breakouts: Enable or disable breakouts.
Bullish Breakout: Select color for bullish breakouts.
Bearish Breakout: Select color for bearish breakouts.
🔹 Extensions
Top Extension: Enable or disable the top extension and choose the percentage of Power Hour to use.
Bottom extension: Enable or disable the bottom extension and choose the percentage of Power Hour to use.
🔹 Fibonacci Levels
Display Fibonacci: Enable or disable Fibonacci levels.
Reverse: Reverse Fibonacci levels.
Levels, Colors & Style
Display Labels: Enable or disable labels and choose text size.
🔹 Style
Power Hour Colors
Extension Transparency: Choose the extension's transparency. 0 is solid, and 100 is fully transparent.
Session Breaks: Enable or disable session breaks.
W Pattern Finder📊 W Pattern Finder
English:
This indicator automatically detects W-Patterns (Double Bottoms) following the HLHL structure and marks the last four crucial points on the chart.
Additionally, it draws the neckline, a Take Profit (TP) and a Stop Loss (SL) – including a Risk/Reward ratio.
✨ Features
* Automatic detection of W-Patterns (Double Bottoms)
* Draws the neckline and the last 4 key points
* Calculates and displays TP and SL levels (with adjustable RR ratio)
* Auto-Clear: All objects are removed once TP or SL is reached
* Fully customizable colors & widths for pattern, TP and SL lines
* Tolerance filter for lows to improve clean pattern recognition
* Visual marking of the W-pattern directly in the chart
⚙️ Settings
* Pivot Length → controls sensitivity of pattern detection
* Line color & width for the pattern
* Individual colors and widths for TP and SL lines
* Risk/Reward Ratio (RR) freely adjustable
* Tolerance (%) for deviation of lows
📈 Use Case
This indicator is especially useful for chart technicians & pattern traders who trade W-formations (Double Bottoms).
With the automatic calculation of TP & SL, it becomes instantly clear whether a trade is worth taking.
⚠️ Disclaimer:
This indicator is not financial advice. It is intended for educational and analytical purposes only.
Use it in trading at your own risk
Order Block TraderThe Order Block (HTF) indicator automatically detects and plots higher timeframe order blocks directly onto your chart. Order blocks represent zones of institutional buying or selling pressure that often act as powerful support or resistance levels when revisited. This tool is designed for traders who want to align their lower timeframe entries with higher timeframe structure, helping to filter noise and focus on the most meaningful price levels.
What This Indicator Does
Scans a higher timeframe of your choice to identify potential bullish and bearish order blocks.
Draws the blocks on your current chart, extending them forward in time as reference zones.
Highlights trade signals when price returns to and reacts at these order blocks.
Optionally triggers alerts so that you never miss a potential opportunity.
How It Can Be Used Successfully
Bullish Setup: A bullish order block may serve as a demand zone. When price revisits it, look for bullish confirmation such as a bounce from the block low and a close back above it. This can be used as a long entry point, with stops placed just below the block.
Bearish Setup: A bearish order block may serve as a supply zone. When price revisits it, watch for rejection at the block high followed by a close back below it. This can be used as a short entry point, with stops placed just above the block.
Multi-Timeframe Trading: Use order blocks from larger timeframes (e.g., 4H or Daily) as key zones, then drill down to shorter timeframes (e.g., 5m, 15m) to refine entries.
Confluence with Other Tools: Combine order block signals with your existing strategy—trend indicators, Fibonacci levels, moving averages, or candlestick patterns—for stronger confirmation and improved win probability.
Trade Management: Treat order blocks as zones rather than single price levels. Position sizing, stop placement, and risk-to-reward management remain essential for long-term success.
This indicator is not a standalone trading system but a framework for identifying high-probability supply and demand zones. Traders who apply it consistently—alongside proper risk management and confirmation methods—can improve their ability to catch trend continuations and reversals at structurally important levels.
Liquidity + FVG + OB Markings (Fixed v6)This indicator is built for price-action traders.
It automatically finds and plots three key structures on your chart:
Liquidity Levels – swing highs & lows that often get targeted by price.
Fair-Value Gaps (FVG) – inefficient price gaps between candles.
Order-Blocks (OB) – zones created by strong, high-volume impulsive candles.
It also provides alerts and a small information table so you can quickly gauge the current market context.
Trend Pro V2 [CRYPTIK1]Introduction: What is Trend Pro V2?
Welcome to Trend Pro V2! This analysis tool give you at-a-glance understanding of the market's direction. In a noisy market, the single most important factor is the dominant trend. Trend Pro V2 filters out this noise by focusing on one core principle: trading with the primary momentum.
Instead of cluttering your chart with confusing signals, this indicator provides a clean, visual representation of the trend, helping you make more confident and informed trading decisions.
The dashboard provides a simple, color-coded view of the trend across multiple timeframes.
The Core Concept: The Power of Confluence
The strength of any trading decision comes from confluence—when multiple factors align. Trend Pro V2 is built on this idea. It uses a long-term moving average (200-period EMA by default) to define the primary trend on your current chart and then pulls in data from three higher timeframes to confirm whether the broader market agrees.
When your current timeframe and the higher timeframes are all aligned, you have a state of "confluence," which represents a higher-probability environment for trend-following trades.
Key Features
1. The Dynamic Trend MA:
The main moving average on your chart acts as your primary guide. Its color dynamically changes to give you an instant read on the market.
Teal MA: The price is in a confirmed uptrend (trading above the MA).
Pink MA: The price is in a confirmed downtrend (trading below the MA).
The moving average changes color to instantly show you if the trend is bullish (teal) or bearish (pink).
2. The Multi-Timeframe (MTF) Trend Dashboard:
Located discreetly in the bottom-right corner, this dashboard is your window into the broader market sentiment. It shows you the trend status on three customizable higher timeframes.
Teal Box: The trend is UP on that timeframe.
Pink Box: The trend is DOWN on that timeframe.
Gray Box: The price is neutral or at the MA on that timeframe.
How to Use Trend Pro V2: A Simple Framework
Step 1: Identify the Primary Trend
Look at the color of the MA on your chart. This is your starting point. If it's teal, you should generally be looking for long opportunities. If it's pink, you should be looking for short opportunities.
Step 2: Check for Confluence
Glance at the MTF Trend Dashboard.
Strong Confluence (High-Probability): If your main chart shows an uptrend (Teal MA) and the dashboard shows all teal boxes, the market is in a strong, unified uptrend. This is a high-probability environment to be a buyer on dips.
Weak or No Confluence (Caution Zone): If your main chart shows an uptrend, but the dashboard shows pink or gray boxes, it signals disagreement among the timeframes. This is a sign of market indecision and a lower-probability environment. It's often best to wait for alignment.
Here, the daily trend is down, but the MTF dashboard shows the weekly trend is still up—a classic sign of weak confluence and a reason for caution.
Best Practices & Settings
Timeframe Synergy: For best results, use Trend Pro on a lower timeframe and set your dashboard to higher timeframes. For example, if you trade on the 1-hour chart, set your MTF dashboard to the 4-hour, 1-day, and 1-week.
Use as a Confirmation Tool: Trend Pro V2 is designed as a foundational layer for your analysis. First, confirm the trend, then use your preferred entry method (e.g., support/resistance, chart patterns) to time your trade.
This is a tool for the community, so feel free to explore the open-source code, adapt it, and build upon it. Happy trading!
For your consideration @TradingView
EMP Probabilistic [CHE]Part 1 — For Traders (Practical Overview, no formulas)
What this tool does
EMP Probabilistic \ turns raw price action into a clean, probability-aware map. It builds two adaptive bands around the session open of a higher timeframe you choose (called the S-timeframe) and highlights a robust median threshold. At a glance you know:
Where price has recently tended to stay,
Whether current momentum sits above or below the median, and
A live Long vs. Short probability based on recent outcomes.
Why it improves decisions
Objective context in any regime: The nonparametric band comes straight from recent market behavior, without assuming a particular distribution.
Volatility-aware risk lens: The parametric band adapts to current volatility, helping you judge stretch and room for continuation or snap-back.
No lookahead: All stats update only after an S-bar is finished. That means the panel reflects information you truly had at that time.
How to read the chart
Orange band = empirical, distribution-free range derived from recent session returns (nonparametric).
Teal band = volatility-scaled range around the session open (parametric).
Median dots: green when close is above the median threshold, red when below.
Info panel: shows the active S-timeframe, window sizes, live coverage for both bands, the internal width parameter and volatility estimate, plus a one-line summary.
Probability label: “Long XX% • Short YY%” — a simple read on the recent balance of up vs. down S-bars.
How to use it (quick start)
1. Choose S-timeframe with Auto, Multiplier, or Manual. “Auto” scales your chart TF up to a sensible higher step.
2. Set alpha to control how tight the inner band should be. A typical value gives you a comfortable center zone without cutting off healthy trends.
3. Trade the context:
Trend-following: Prefer longs when price holds above the median; prefer shorts when it stays below.
Mean-reversion: Fade moves near the outer edges during ranges; look for reversion back toward the median.
Breakout filter: Require closes that push and hold beyond the volatility band for momentum plays; avoid noise when price chops inside the middle of the orange band.
Risk management made practical
Size positions relative to the teal band width to keep risk consistent across instruments and regimes.
For stops, many traders set them just beyond the opposite orange bound or use a fraction of the teal band.
Watch the panel’s coverage readouts and Brier score; when they deteriorate, the market may be shifting — reduce size or demand stronger confirmation.
Suggested presets
Scalping (Crypto/FX): Auto S-TF, alpha around a fifth, calibration window near two hundred, RS volatility, metrics window near two hundred.
Intraday Futures: Multiplier 3–5× your chart TF; similar alpha and window sizes; RS volatility is a solid default.
Swing/Equities: S-TF at least daily; test both RS and GK volatility modes; keep windows on the larger side for stability.
What makes it different
Two complementary lenses: a distribution-free read of recent behavior and a volatility-scaled read for risk and stretch.
Self-calibrating width: the parametric band quietly nudges its internal multiplier so actual coverage tracks your target.
Clean UX: grouped inputs, tooltips, an info panel that tells you what’s going on, and a simple median bias you can act on.
Repainting & timing
The logic updates only when the S-bar closes. On lower-timeframe charts you’ll see intrabar flips of the dot color — that’s just live price moving around. For strict signals, confirm on S-bar close.
Friendly note (not financial advice)
Use this as a context engine. It won’t predict the future, but it will keep you on the right side of probability and volatility more often, which is exactly where consistency starts.
Part 2 — Under the Hood (Conceptual, no formulas)
Data and timeframe design
The script works on a higher S-timeframe you select. It fetches the open, high, low, close, and time of that S-bar. Internally, it only updates its rolling windows after an S-bar has finished. It then pushes the previous S-bar’s statistics into its arrays. That design removes lookahead and keeps the metrics out-of-sample relative to the current S-bar.
Nonparametric band (distribution-free)
The orange band comes from the empirical distribution of recent session-level close-minus-open moves. The script keeps a rolling window, sorts a safe copy, and reads three key points: a lower bound, a median, and an upper bound. Because it’s based purely on observed outcomes, it adapts naturally to skew, fat tails, and regime shifts without assuming any particular shape. The orange range shows “where price has tended to live” lately on the chosen S-timeframe.
Parametric band (volatility-scaled)
The teal band models log-space variability around the session open using one of two well-known OHLC volatility estimators: Rogers–Satchell or Garman–Klass. Each estimator contributes a per-bar variance figure; the script averages these across the rolling window to form a current volatility scale. It then builds a symmetric band around the session open in price space. This gives you a volatility-aware notion of stretch that complements the distribution-free orange band.
Self-calibration of band width
The teal band has an internal width multiplier. After each completed S-bar the script checks whether the realized move stayed inside that band. If the band was too tight, the multiplier is nudged upward; if it was too loose, it’s eased downward. A simple learning rate governs how quickly it adapts. Over time this keeps the realized inside-coverage close to the target implied by your alpha setting, without you having to hand-tune anything.
Long/Short probability and calibration quality
The Long vs. Short probability is a transparent statistic: it’s just the recent fraction of up sessions in the rolling window. It is not a complex model — and that’s the point. You get an honest, intuitive read on directional tendency.
To monitor how well this simple probability lines up with reality, the script tracks a Brier-style score over a separate metrics window. Lower is better: it means your recent probability read has matched outcomes more closely.
Coverage tracking for both bands
The panel reports coverage for the orange band (nonparametric) and the teal band (parametric). These are rolling averages of how often recent S-bar moves landed inside each band. Watching these two numbers tells you whether market behavior still aligns with the recent distribution and with the current volatility model.
Why it doesn’t repaint
Because the arrays update only when an S-bar closes and only push the previous bar’s stats, the panel and metrics reflect information you had at the time. Intrabar visuals can change while a bar is forming — that’s expected — but the decision framework itself is anchored to completed S-bars.
Performance and practicality
The heaviest step is sorting a copy of the window for the nonparametric band. With typical window sizes this stays responsive on TradingView. The volatility estimators and rolling averages are lightweight. Inputs are grouped with clear tooltips so you can tune without hunting.
Limitations and good practice
In thin or gappy markets the bands can jump; consider a larger window or a higher S-timeframe.
During violent regime shifts, shorten the window and increase the learning rate slightly so the teal band catches up faster — but don’t overdo it, or you’ll chase noise.
The Long/Short probability is intentionally simple; it’s a context indicator, not a standalone signal factory. Combine it with structure, volume, or your execution rules.
Takeaway
Under the hood, the script blends empirical behavior and volatility scaling, then self-calibrates so the teal band’s real-world coverage stays near your target. You get clarity, consistency, and a dashboard that tells you when its own assumptions are holding up — exactly what you need to trade with confidence.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Best regards and happy trading
Chervolino
Denys_MVT (Sessions Boxes)Denys_MVT (Sessions Boxes)
This indicator highlights the main trading sessions — Asia, Frankfurt, London, and New York — directly on the chart.
It helps traders visually separate market activity during different times of the day and quickly understand which session is currently active.
🔹 How it works
You can choose between Box Mode (draws a box around the session’s high and low) or Fill Mode (background color for the session).
Each session has its own customizable time range and color.
Labels can be placed automatically at the beginning of each session.
The script uses the time() function with your selected UTC offset to precisely map session times.
🔹 Features
Displays Asia, Frankfurt, London, and New York sessions.
Option to toggle between boxes and background shading.
Adjustable transparency and session colors.
Session labels for easier visual reference.
Works on any symbol and timeframe.
🔹 How to use
Add the indicator to your chart.
Set your local UTC offset in the settings (default: UTC+2).
Enable/disable sessions, change colors, or switch between Box/Fill mode.
Use the session highlights to better understand when volatility typically increases and how different sessions interact.
BTC Spread: Coinbase Spot vs CME Futures (skullcap)BTC Spread: Coinbase Spot vs CME Futures
This indicator plots the real-time spread between Coinbase Spot BTC (COINBASE:BTCUSD) and CME Bitcoin Futures (CME:BTC1!).
It allows traders to monitor the premium or discount between spot and futures markets directly in one chart.
⸻
📊 How it Works
• The script pulls Coinbase spot BTC closing prices and CME front-month BTC futures prices on your selected timeframe.
• The spread is calculated as:
Spread = CME Price – Coinbase Spot Price
🔧 How to Use
1. Add the indicator to your chart (set to any timeframe you prefer).
2. The orange line represents the spread (USD difference).
3. The grey dashed line marks the zero level (parity between CME and Coinbase).
4. Use it to:
• Compare futures vs. spot market structure
• Track premium/discount cycles around funding or expiry
• Identify arbitrage opportunities or market dislocations
⸻
⚠️ Notes
• This indicator is informational only and does not provide trading signals.
• Useful for traders analysing derivatives vs spot price action.
• Works best when paired with order flow, funding rate, and open interest data.
Rapeez's BOS IndicatorIt will highlight all the BOS (Break of Structure) points on the chart with blue and red lines, making it easier to spot them without having to analyze the chart deeply. This tool is also great for identifying the overall market trend and works across all timeframes. Updates will be provided every month.
Happy charting—hope you find it helpful!
EMA+RSI Buy/Sell with Fibonacci GuideSingle-Instance EUR/USD & GBP/USD Trend+MACD ATR EA
Purpose:
This EA is designed for automated Forex trading on EUR/USD and GBP/USD. It identifies trend-based trading opportunities, dynamically calculates position sizes based on your available capital and risk percentage, and manages trades with ATR-based stop-loss and take-profit levels, including optional trailing stops.
Key Features:
Auto Pair Selection:
Compares the trend strength of EUR/USD vs GBP/USD using a combination of EMA slopes and MACD direction.
Automatically trades the stronger trending pair.
Trend & Signal Detection:
Uses Fast EMA / Slow EMA crossover for trend direction.
Confirms trend with MACD line vs signal line.
Generates long and short signals only when trend and MACD align.
Dynamic SL/TP:
Stop-loss and take-profit are calculated based on ATR (Average True Range).
Supports optional trailing stops to lock in profits.
Position Sizing:
Automatically calculates micro-lot sizes based on your capital and risk percentage.
Ensures risk per trade does not exceed the defined % of your account equity.
Chart Visualization:
Plots Fast EMA / Slow EMA.
Displays SL and TP levels on the chart.
Shows a label indicating the active pair currently being traded.
Alerts:
Generates alerts for long and short signals.
Can be used with TradingView alerts to notify or trigger webhooks.
Single Strategy Instance:
Fully compatible with Pine Script v6.
Only one strategy instance runs on the chart to prevent “too many strategies” errors.
Ultimate📖 Indicator Description – Ultimate
The Ultimate Indicator is a complete charting framework that combines linear regression channels, dynamic deviation bands, EMA ribbons, volatility spreads, and entry/exit markers. It is designed to help traders visualize trend direction, potential reversals, and trade setups with precision.
🔹 What You See on the Chart
Channel Lines (Linear Regression Bands)
Green dotted line (median): Fair value trendline based on regression.
Red dashed line (upper band): Dynamic resistance zone.
Blue dashed line (lower band): Dynamic support zone.
Mid-bands (thin dotted red/blue): Halfway between median and outer bands, useful for scaling entries or partial exits.
🔹 EMA Ribbon (Light Green Shades)
Multiple EMAs (5, 8, 13, 21, 34) plotted in progressively lighter green.
Helps visualize momentum shifts and trend strength.
Ribbon turns more aqua/green when short-term EMAs align bullishly.
🙌Markers on Price
🔴 Red Circle (Dot): Short entry signal (price rejecting upper deviation band).
🔵 Blue Circle (Dot): Long entry signal (price bouncing off lower deviation band).
❌ Red X: Peak formation detected, potential short setup (not always valid).
🔷 Blue Diamond: Trough formation detected, potential long setup (not always valid).
Numbers Above/Below Candles
🔴Red numbers (above peaks): % spread from the bottom to the peak, showing upward volatility.
🔵 Blue numbers (below troughs): % spread from the top to the trough, showing downward volatility.
These values help traders gauge the strength of recent swings and compare volatility expansions.
🔹 Signal Logic🔹
🔵Long Signal (Blue Circle):
Forms when price makes a trough and crosses back above the lower regression band.
Confirms potential upside reversal with stop-loss guided by ATR or swing low.
🔴Short Signal (Red Circle):
Forms when price makes a peak and crosses below the upper regression band.
Confirms potential downside reversal with stop-loss guided by ATR or swing high.
❌ Peaks (Red X):
Indicate local tops. Not all peaks convert into shorts, but they warn of resistance zones.
🔹Troughs (Blue Diamonds):
Indicate local bottoms. Not all troughs convert into longs, but they warn of support zones.
🔹 Alerts
When a valid long or short setup is confirmed, an alert fires with:
Ticker name
Entry price
Suggested position size (Quantity)
Stop loss level (ATR-based or HL-based)
Take profit level (calculated by reward multiple)
🔹 Inputs & Customization
Quantity: Lot size suggestion.
Deviation: Multiplier for regression channel width.
Take Profit: Risk-to-reward multiplier.
Stop Loss: ATR or High/Low based.
Trend Lines: Choose between extended or fixed channels.
Period: Lookback window for regression.
Spread Percentages: Toggle volatility labels on/off.
🔹 How to Use
Trend Following: Ride price inside the channel using EMA ribbon alignment.
Reversal Trading: Enter at deviation extremes with confirmation signals.
Volatility Mapping: Use spread % labels to measure the strength of market swings.
Risk Management: ATR-based stops adapt to volatility, while HL stops give structural support/resistance.
✅ In summary:
The Ultimate Indicator is not just a regression channel—it’s a multi-layered system that highlights trend bias, entry/exit signals, volatility spreads, and adaptive risk levels. It allows traders to see at a glance whether the market is trending, ranging, or preparing for a reversal.
RSI (8 & 13) + Fibonacci LevelsIndicator Description: RSI (8 & 13) + Fibonacci Levels
This custom indicator is designed to provide a dual-speed RSI framework with embedded Fibonacci retracement levels for advanced momentum and reversal analysis. It combines the power of relative strength measurement with the natural harmony of Fibonacci ratios to give traders a structured approach to market timing and confluence trading.
The indicator plots two RSI lines on a dedicated sub-chart:
RSI Fast (8) → short-term momentum, highly sensitive to price action, helps identify quick shifts and micro-trends.
RSI Slow (13) → smoother and less volatile, acts as confirmation of broader trend direction and underlying strength.
By combining both RSI speeds, traders can spot alignment, divergences, and crossover signals between fast and slow momentum. When both lines move in sync, it reflects strong conviction; when they diverge, it signals potential exhaustion or trend shifts.
Overlaying Fibonacci retracement levels on RSI adds an extra dimension of precision. Instead of using arbitrary zones, the indicator relies on mathematically significant levels tied to natural market cycles:
23.6% → shallow pullbacks, early momentum pauses.
38.2% → minor retracements, often signaling trend continuation.
50% → balance point between strength and weakness.
61.8% → golden ratio, strong correction or reversal zone.
78.6% → deep retracement, last line before full reversal.
In addition, the script marks the classic RSI boundaries:
70 (Overbought) → potential profit-taking, stretched bullish conditions.
30 (Oversold) → potential accumulation, stretched bearish conditions.
Together, these zones help traders gauge not only when the RSI is “too high” or “too low,” but also where price momentum aligns with natural Fibonacci retracement zones. This approach transforms RSI from a simple oscillator into a multi-layered momentum map.
Practical Uses:
Trend Confirmation → When RSI(8) and RSI(13) are both above 50 and rising, bullish strength is confirmed.
Divergence Detection → If price makes higher highs but RSI(8) fails to confirm, it warns of weakening momentum.
Reversal Hunting → Look for RSI rejection candles at Fib levels (e.g., fast RSI hitting 61.8 and rolling over).
Entry/Exit Timing → Use fast RSI crossovers with slow RSI as tactical entries within the broader structure.
Confluence Trading → Strong signals occur when RSI rejection coincides with price structure (double tops/bottoms, Fibonacci levels on chart, Bollinger Band rejections).
This indicator is especially powerful when paired with Bollinger Bands or price action rejection patterns, creating a system where price extremes are validated against RSI Fib zones.
Ultimately, the RSI (8 & 13) + Fibonacci Levels indicator acts as a precision filter — helping traders separate noise from genuine turning points and reinforcing entries/exits with multiple layers of confluence.
Simple Trading SessionsThis indicator highlights the major global trading sessions (Tokyo, London, and New York) directly on your chart with clean background shading.
Tokyo Session (default 00:00–09:00 exchange time)
London Session (default 07:00–16:00 exchange time)
New York Session (default 12:30–21:00 exchange time)
Each session is displayed as a different shaded block, making it easy to:
Spot when the market is most active.
Identify overlapping periods (e.g., London–New York overlap).
Backtest strategies that depend on session timing.
⚙️ How to Use
Add the indicator to any intraday chart.
Adjust session times in the settings panel to match your broker or preferred timezone.
Use the shading to guide your trading around regional liquidity zones.
✅ Notes
By default, session times follow the chart’s exchange timezone.
You can change the inputs to match your own session definitions.
Very lightweight and designed for traders who want a simple, uncluttered session map without extra calculations.
Higher High Lower Low Higher High Lower Low 🦉{Phanchai} — TradingView Description
Structure detector with dynamic Support/Resistance, customizable labels, and ready-made alerts (Pine v6).
This script marks market structure turning points — HH (Higher High), HL (Higher Low), LH (Lower High), LL (Lower Low) — and builds segmented Support/Resistance lines from those turns. Labels and colors are fully customizable and the script ships with multiple alert conditions.
What it does
Detects swing pivots using left/right bar windows, then classifies each confirmed swing as HH/HL/LH/LL.
Plots compact labels at the confirmed pivot bars with tooltips (English).
Derives dynamic Support / Resistance : every time structure flips, the previous level is closed and a new segment starts, extending to the right .
Provides alert conditions for any label and for specific first-occurrence shifts (e.g., first HH after a bearish label).
How it works (in short)
A pivot high/low confirms only after Right Bars candles have closed; labels and S/R appear at that confirmation bar.
An internal backbone (zigzag-like) is built from confirmed pivots, with light consistency checks to avoid contradictory sequences.
Structure rules compare the recent five pivots (A…E) to decide HH/HL/LH/LL.
S/R is updated from structure: e.g., in an up leg, new HLs refresh Support; in a down leg, new LHs refresh Resistance.
Alerts included
Any structure label (HH/HL/LH/LL) — Fires on any new label.
First LL after HL/HH — First bearish break after a bullish label.
First HH after LL/LH — First bullish break after a bearish label.
LL or HL formed — Any low-side label.
LH or HH formed — Any high-side label.
HL formed
HH formed
LL formed
LH formed
How to use (quick start)
Add the indicator to your chart.
Choose Left/Right Bars for your timeframe (e.g., 5–10 for intraday; larger for higher timeframes).
Pick your label colors/sizes and S/R style.
Right-click the chart → Add alert… → Condition: this indicator → select the desired alert.
Notes & tips
Because pivots require Right Bars to confirm, labels and S/R appear with a natural delay of that many bars. This avoids repainting.
Raising Left/Right Bars reduces noise and increases the average distance between pivots; lowering them increases sensitivity.
Structure is strict: sometimes you may see two HL (or two LH) in a row if the intermediate opposite swing didn’t qualify as HH/LH (or LL/HL).
S/R segments are drawn with line objects ; they are controlled via Inputs (style/width/color), not the Style tab.
This tool highlights structure; it’s not a standalone entry/exit system. Combine with volume, trend, or risk management rules.
Built with Pine v6. Clean, compact labels; segmented S/R that updates only on confirmed changes; comprehensive alerts ready for automation.
Small-Cap — Sell Every Spike (Rendon1) Small-Cap — Sell Every Spike v6 — Strict, No Look-Ahead
Educational use only. This is not financial advice or a signal service.
This strategy targets low/ mid-float runners (≤ ~20M) that make parabolic spikes. It shorts qualified spikes and scales out into flushes. Logic is deliberately simple and transparent to avoid curve-fit.
What the strategy does
Detects a parabolic up move using:
Fast ROC over N bars
Big range vs ATR
Volume spike vs SMA
Fresh higher high (no stale spikes)
Enters short at bar close when conditions are met (no same-bar fills).
Manages exits with ATR targets and optional % covers.
Tracks float rotation intraday (manual float input) and blocks trades above a hard limit.
Draws daily spike-high resistance from confirmed daily bars (no repaint / no look-ahead).
Timeframes & market
Designed for 1–5 minute charts.
Intended for US small-caps; turn Premarket on.
Works intraday; avoid illiquid tickers or names with constant halts.
Entry, Exit, Risk (short side)
Entry: parabolic spike (ROC + Range≥ATR×K + Vol≥SMA×K, new HH).
Optional confirmations (OFF by default to “sell every spike”): upper-wick and VWAP cross-down.
Stop: ATR stop above entry (default 1.2× ATR).
Targets: TP1 = 1.0× ATR, TP2 = 2.0× ATR + optional 10/20/30% covers.
Safety: skip trades if RVOL is low or Float Rotation exceeds your limit (default warn 5×, hard 7×).
Inputs (Balanced defaults)
Price band: $2–$10
Float Shares: set per ticker (from Finviz).
RVOL(50) ≥ 1.5×
ROC(5) ≥ 1.0%, Range ≥ 1.6× ATR, Vol ≥ 1.8× SMA
Cooldown: 10 bars; Max trades/day: 6
Optional: Require wick (≥35%) and/or Require VWAP cross-down.
Presets suggestion:
• Balanced (defaults above)
• Safer: wick+VWAP ON, Range≥1.8×, trades/day 3–4
• Micro-float (<5M): ROC 1.4–1.8%, Range≥1.9–2.2×, Vol≥2.2×, RVOL≥2.0, wick 40–50%
No look-ahead / repaint notes
Daily spike-highs use request.security(..., lookahead_off) and shifted → only closed daily bars.
Orders arm next bar after entry; entries execute at bar close.
VWAP/ATR/ROC/Vol/RVOL are computed on the chart timeframe (no HTF peeking).
How to use
Build a watchlist: Float <20M, RelVol >2, Today +20% (Finviz).
Open 1–5m chart, enter Float Shares for the ticker.
Start with Balanced, flip to Safer on halty/SSR names or repeated VWAP reclaims.
Scale out into flushes; respect the stop and rotation guard.
Limitations & risk
Backtests on small-caps can be optimistic due to slippage, spreads, halts, SSR, and limited premarket data. Always use conservative sizing. Low-float stocks can squeeze violently.
Alerts
Parabolic UP (candidate short)
SHORT Armed (conditions met; entry at bar close)
Intelligent Currency Breakout ChannelIndicator: Intelligent Currency Breakout Channel
This document provides a detailed explanation of the "Intelligent Currency Breakout Channel" indicator for TradingView.
1. Overview
The Intelligent Currency Breakout Channel is an advanced technical analysis tool designed to identify periods of price consolidation and signal potential breakouts. It automatically draws channels around ranging price action and utilizes sophisticated volume analysis to provide deeper insights into market sentiment. The indicator also includes a built-in logarithmic regression screener to help traders align their breakout signals with the broader market trend.
2. Key Features
Automatic Channel Detection: The indicator identifies periods of low volatility and automatically draws a containing channel (box) around the price action.
Breakout Signals: It generates clear visual alerts (▲ for bullish, ▼ for bearish) when the price closes decisively outside of a channel.
In-Depth Volume Analysis: Within each channel, the indicator plots volume as candlestick-like bars, offering three distinct modes: Total Volume, Buy/Sell Comparison, and Volume Delta. This helps traders gauge the strength and conviction behind price movements.
Real-time Sentiment Gauge: When a channel is active, a dynamic color-graded gauge appears on the right side of the chart. It visualizes the current volume delta momentum relative to its recent range, offering an at-a-glance sentiment reading.
Integrated Trend Screener: A secondary analysis tool based on logarithmic regression is included to determine the underlying trend direction (Up, Down, or Neutral), which can be used to filter breakout signals.
Fully Customizable: Users can extensively customize all parameters, from calculation lengths and breakout sensitivity to the visual appearance of every component.
3. How to Use
Channel Formation: Watch for the indicator to draw a new channel. This signifies that the market is in a consolidation or ranging phase. The formation of a channel itself can be an alertable event.
Volume Interpretation: Observe the volume bars inside the channel. An increase in volume as the price approaches the channel's upper or lower boundary can foreshadow a potential breakout. Use the Volume Display Mode to analyze if buying pressure (Comparison, Delta) or selling pressure is building.
Breakout Confirmation: A bullish breakout signal (▲) appears when the price closes above the channel's upper boundary. A bearish breakout signal (▼) appears when the price closes below the lower boundary. For higher-quality signals, enable the Strong Closes Only option.
Trend Confirmation (Screener): Use the screener's plot and background color to confirm the broader trend. For instance, you might choose to only take bullish breakout signals when the screener indicates an uptrend (green background) and bearish signals when it indicates a downtrend (red background).
Sentiment Gauge: The pointer on the gauge indicates current momentum. A pointer in the upper (green) section suggests bullish pressure, while a pointer in the lower (red) section suggests bearish pressure. This can provide additional confluence for a trade decision.
4. Settings and Inputs
Main Settings
Overlap Channels: If enabled, allows multiple channels to be drawn on the chart simultaneously, even if they overlap. When disabled, a new channel will only form if it doesn't intersect with an existing one.
Strong Closes Only: If enabled, a breakout is only triggered if the midpoint of the candle's body (average of open and close) is outside the channel. This helps filter out false signals caused by long wicks. If disabled, any close outside the channel triggers a breakout.
Normalization Length: The lookback period (in bars) used for price normalization. A higher value creates a more stable normalization but may be slower to react to recent price changes.
Box Detection Length: The lookback period used to detect the channel formation pattern. A lower value will result in more frequent channels but may be more sensitive to noise. A higher value will result in fewer, but potentially more significant, channels.
Volume Analysis
Show Volume Analysis: Toggles the visibility of the candlestick-like volume bars inside the channel.
Volume Display Mode:
Volume: Displays total volume as symmetrical bars around the channel's midline.
Comparison: Shows buying volume (green) above the midline and selling volume (red) below it.
Delta: Shows the net difference between buying and selling volume. Positive delta is shown above the midline, and negative delta is shown below.
Volume Delta Timeframe Source: The timeframe from which to source volume data for calculations. Using a lower timeframe can provide a more granular view of volume dynamics.
Volume Scaling: A multiplier that adjusts the vertical size of the volume bars relative to the channel's height.
Appearance
Volume Text Size: Sets the size of the volume data text displayed in the corners of the channel. Options: Tiny, Small, Medium, Large.
Bullish Color: The primary color for all bullish visual elements, including breakout signals and positive volume bars.
Bearish Color: The primary color for all bearish visual elements, including breakout signals and negative volume bars.
Screener Settings
Lookback Period: The number of bars used for the logarithmic regression calculation to determine the trend.
Screener Type:
Log Regression Channel: The signal is based on the slope of the entire regression channel over the lookback period. An upward sloping channel is bullish (1), and a downward sloping one is bearish (-1).
Logarithmic Regression: The signal is based on the most recent value of the regression line compared to its value 3 bars ago. This provides a more responsive measure of the immediate trend.
5. Alerts
You can set up the following alerts through the TradingView alerts panel:
New Channel Formed: Triggers when a new price consolidation channel is detected and drawn on the chart.
Bullish Breakout: Triggers when the price breaks out and closes above the upper boundary of a channel.
Bearish Breakout: Triggers when the price breaks out and closes below the lower boundary of a channel.
Is In Channel: Triggers on every bar that the price is currently trading inside an active channel.
Signal UP: Triggers when the Screener's signal turns bullish (1).
Signal DOWN: Triggers when the Screener's signal turns bearish (-1).
Key Levels: Daily, Weekly, Monthly [BackQuant]Key Levels: Daily, Weekly, Monthly
Map the market’s “memory” in one glance—yesterday’s range, this week’s chosen day high/low, and D/W/M opens—then auto-clean levels once they break.
What it does
This tool plots three families of high-signal reference lines and keeps them tidy as price evolves:
Chosen Day High/Low (per week) — Pick a weekday (e.g., Monday). For each past week, the script records that day’s session high and low and projects them forward for a configurable number of bars. These act like “memory levels” that price often revisits.
Daily / Weekly / Monthly Opens — Plots the opening price of each new day, week, and month with separate styling. These opens frequently behave like magnets/flip lines intraday and anchors for regime on higher timeframes.
Auto-pruning — When price breaks a stored level, the script can automatically remove it to reduce clutter and refocus you on still-active lines. See: (broken levels removed).
Why these levels matter
Liquidity pockets — Prior day’s high/low and the daily open concentrate stops and pending orders. Mapping them quickly reveals likely sweep or fade zones. Example: previous day highs + daily open highlighting liquidity:
Context & regime — Monthly opens frame macro bias; trading above a rising cluster of monthly opens vs. below gives a clean top-down read. Example: monthly-only “macro outlook” view:
Cleaner charts — Auto-remove broken lines so you focus on what still matters right now.
What it plots (at a glance)
Past Chosen Day High/Low for up to N prior weeks (your choice), extended right.
Current Daily Open , Weekly Open , and Monthly Open , each with its own color, label, and forward extension.
Optional short labels (e.g., “Mon High”) or full labels (with week/month info).
How breaks are detected & cleaned
You control both the evidence and the timing of a “break”:
Break uses — Choose Close (more conservative) or Wick (more sensitive).
Inclusive? — If enabled, equality counts (≥ high or ≤ low). If disabled, you need a strict cross.
Allow intraday breaks? — If on, a level can break during the tracked day; if off, the script only counts breaks after the session completes.
Remove Broken Levels — When a break is confirmed, the line/label is deleted automatically. (See the demo: )
Quick start
Pick a Day of Week to Track (e.g., Monday).
Set how many weeks back to show (e.g., 8–10).
Choose how far to extend each family (bars to the right for chosen-day H/L and D/W/M opens).
Decide if a break uses Close or Wick , and whether equality counts.
Toggle Remove Broken Levels to keep the chart clean automatically.
Tips by use-case
Intraday bias — Watch the Daily Open as a magnet/flip. If price gaps above and holds, pullbacks to the daily open often decide direction. Pair with last day’s high/low for sweep→reversal or true breakout cues. See:
Weekly structure — Track the week’s chosen day (e.g., Monday) high/low across prior weeks. If price stalls near a cluster of old “Monday Highs,” look for sweep/reject patterns or continuation on reclaim.
Macro regime — Hide daily/weekly lines and keep only Monthly Opens to read bigger cycles at a glance (BTC/crypto especially). Example:
Customization
Use wicks or bodies for highs/lows (wicks capture extremes; bodies are stricter).
Line style & thickness — solid/dashed/dotted, width 1–5, plus global transparency.
Labels — Abbreviated (“Mon High”, “D Open”) or full (month/week/day info).
Color scheme — Separate colors for highs, lows, and each of D/W/M opens.
Capacity controls — Set how many daily/weekly/monthly opens and how many weeks of chosen-day H/L to keep visible.
What’s under the hood
On your selected weekday, the script records that session’s true high and true low (using wicks or body-based extremes—your choice), then projects a horizontal line forward for the next bars.
At each new day/week/month , it records the opening price and projects that line forward as well.
Each bar, the script checks your “break” rules; once broken, lines/labels are removed if auto-cleaning is on.
Everything updates in real time; past levels don’t repaint after the session finishes.
Recommended presets
Day trading — Weeks back: 6–10; extend D/W opens: 50–100 bars; Break uses: Close ; Inclusive: off; Auto-remove: on.
Swing — Fewer daily opens, more weekly opens (2–6), and 8–12 weeks of chosen-day H/L.
Macro — Show only Monthly Opens (1–6 months), dashed style, thicker lines for clarity.
Reading the examples
Broken lines disappear — decluttering in action:
Macro outlook — monthly opens as cycle rails:
Liquidity map — previous day highs + daily open:
Final note
These are not “signals”—they’re reference points that many participants watch. By standardising how you draw them and automatically clearing the ones that no longer matter, you turn a noisy chart into a focused map: where liquidity likely sits, where price memory lives, and which lines are still in play.
Kalman Sigmoid Z-score | SurgeQuantTitle: Kalman Sigmoid Z-score Indicator
The Kalman Sigmoid Z-score indicator is a sophisticated tool designed to identify market momentum and potential trend changes using a combination of Kalman filtering, sigmoid-weighted averaging, and Z-score calculations. By processing price data through a Kalman filter and applying adaptive sigmoid weighting, this indicator provides clear visual signals for bullish and bearish market conditions. The Z-score output and price bars are dynamically colored to highlight momentum shifts, aiding traders in identifying potential trading opportunities.
How It Works
Kalman Filter Calculation
Computes a smoothed price series using a Kalman filter based on a user-selected price source (Close, High, Low, or Open) with configurable parameters for process noise, measurement noise, and filter order (default: 3).
The Kalman filter reduces noise in the price data, providing a stable foundation for further analysis.
Sigmoid-Weighted Averaging
Applies a sigmoid function to calculate adaptive weights based on price comparisons over a user-defined lookback period (default: 10).
Weights are adjusted dynamically using a volatility ratio (standard deviation over ATR) to account for market conditions, enhancing signal reliability.
Z-score Calculation
Calculates the Z-score of the Kalman-filtered price relative to a sigmoid-weighted moving average over a user-defined period (default: 20).
Bullish Signal: Triggered when the Z-score crosses above 0, indicating potential upward momentum.
Bearish Signal: Triggered when the Z-score crosses below 0, indicating potential downward momentum.
Visual Representation
The indicator provides a clear and customizable visual interface:
Z-score Histogram: Displayed as colored columns, with distinct colors for bullish (Z-score > 0) and bearish (Z-score < 0) conditions.
Bright green (#4DFFBE) for rising Z-score above 0.
Light green (#56DFCF) for falling Z-score above 0.
Dark purple (#AE75DA) for falling Z-score below 0.
Light purple (#4D2D8C) for rising Z-score below 0.
Price Bar Coloring: Synchronizes with the Z-score colors to reflect momentum on the main chart.
Reference Line: A zero line is plotted on the Z-score panel for easy reference.
Customization & Parameters
The Kalman Sigmoid Z-score indicator offers flexible parameters to suit various trading styles:
Source: Select the input price (default: Close; options: Close, High, Low, Open).
Lookback Period: Set the period for sigmoid weight calculations (default: 10).
Volatility Period: Adjust the period for volatility ratio calculation (default: 30).
Base Steepness: Control the sigmoid function’s sensitivity (default: 5).
Base Midpoint: Set the sigmoid function’s midpoint (default: 0.01).
Z-score Period: Define the period for Z-score calculation (default: 20).
Kalman Parameters:
Process Noise (default: 0.01).
Measurement Noise (default: 3).
Filter Order (default: 3).
Color Settings: Predefined colors with distinct shades for bullish and bearish states, ensuring clear visual differentiation.
Trading Applications
This indicator is versatile and can be applied across various markets and strategies:
Momentum Trading: Highlights strong bullish or bearish momentum for potential entry or exit points based on Z-score crossings.
Trend Confirmation: Use bar coloring to confirm Z-score signals with price action on the main chart.
Reversal Detection: Identify potential reversals when the Z-score crosses the zero line.
Scalping and Swing Trading: Adjust parameters (e.g., lookback, Z-score period) to suit short-term or longer-term strategies.
Final Note
The Kalman Sigmoid Z-score indicator is a powerful tool for traders seeking to leverage advanced filtering and statistical analysis for momentum and trend-based opportunities. Its combination of Kalman-filtered price smoothing, sigmoid-weighted averaging, dynamic Z-score signals, and synchronized bar coloring offers a robust framework for informed trading decisions. As with all indicators, backtest thoroughly and integrate into a comprehensive trading strategy for optimal results. This indicator is provided for educational and informational purposes and should not be considered financial advice.
Technical Summary VWAP | RSI | VolatilityTechnical Summary VWAP | RSI | Volatility
The Quantum Trading Matrix is a multi-dimensional market-analysis dashboard designed as an educational and idea-generation tool to help traders read price structure, participation, momentum and volatility in one compact view. It is not an automated execution system; rather, it aggregates lightweight “quantum” signals — VWAP position, momentum oscillator behaviour, multi-EMA trend scoring, volume flow and institutional activity heuristics, market microstructure pivots and volatility measures — and synthesizes them into a single, transparent score and signal recommendation. The primary goal is to make explicit why a given market looks favourable or unfavourable by showing the individual ingredients and how they combine, enabling traders to learn, test and form rules based on observable market mechanics.
Each module of the matrix answers a distinct market question. VWAP and its percentage distance indicate whether the current price is trading above or below the intraday volume-weighted average — a proxy for intraday institutional control and value. The quantum momentum oscillator (fast and slow EMA difference scaled to percent) captures short-to-intermediate momentum shifts, providing a quickly responsive view of directional pressure. Multi-EMA trend scoring (8/21/50) produces a simple, transparent trend score by counting conditions such as price above EMAs and cross-EMAs ordering; this score is used to categorize market trend into descriptive buckets (e.g., STRONG UP, WEAK UP, NEUTRAL, DOWN). Volume analysis compares current volume to a recent moving average and computes a Z-score to detect spikes and unusual participation; additional buy/sell pressure heuristics (buyingPressure, sellingPressure, flowRatio) estimate whether upside or downside participation dominates the bar. Institutional activity is approximated by flagging large orders relative to volume baseline (e.g., volume > 2.5× MA) and estimating a dark pool proxy; this is a heuristic to highlight bars that likely had large players involved.
The dashboard also performs market-structure detection with small pivot windows to identify recent local support/resistance areas and computes price position relative to the daily high/low (dailyMid, pricePosition). Volatility is measured via ATR divided by price and bucketed into LOW/NORMAL/HIGH/EXTREME categories to help you adapt stop sizing and expectational horizons. Finally, all these pieces feed an interpretable scoring function that rewards alignment: VWAP above, strong flow ratio, bullish trend score, bullish momentum, and favorable RSI zone add to the overall score which is presented as a 0–100 metric and a colored emoji indicator for at-a-glance assessment.
The mashup is purposeful: each indicator covers a failure mode of the other. For example, momentum readings can be misleading during volatility spikes; VWAP informs whether institutions are on the bid or offer; volume Z-score detects abnormal participation that can validate a breakout; multi-EMA score mitigates single-EMA whipsaws by requiring a combination of price/EMA conditions. Combining these signals increases information content while keeping each component explainable — a key compliance requirement. The script intentionally emphasizes transparency: when it shows a BUY/SELL/HOLD recommendation, the dashboard shows the underlying sub-components so a trader can see whether VWAP, momentum, volume, trend or structure primarily drove the score.
For practical use, adopt a clear workflow: (1) check the matrix score and read the component tiles (VWAP position, momentum, trend and volume) to understand the drivers; (2) confirm market-structure support/resistance and pricePosition relative to the daily range; (3) require at least two corroborating components (for example, VWAP ABOVE + Momentum BULLISH or Volume spike + Trend STRONG UP) before considering entries; (4) use ATR-based stops or daily pivot distance for stop placement and size positions such that the trade risks a small, pre-defined percent of capital; (5) for intraday scalps shorten holding time and tighten stops, for swing trades increase lookback lengths and require multi-timeframe (higher TF) agreement. Treat the matrix as an idea filter and replay lab: when an alert triggers, replay the bars and observe which components anticipated the move and which lagged.
Parameter tuning matters. Shortening the momentum length makes the oscillator more sensitive (useful for scalping), while lengthening it reduces noise for swing contexts. Volume profile bars and MA length should match the instrument’s liquidity — increase the MA for low-liquidity stocks to reduce false institutional flags. The trend multiplier and signal sensitivity parameters let you calibrate how aggressively the matrix counts micro evidence into the score. Always backtest parameter sets across multiple periods and instruments; run walk-forward tests and keep a simple out-of-sample validation window to reduce overfitting risk.
Limitations and failure modes are explicit: institutional flags and dark-pool estimates are heuristics and cannot substitute for true tape or broker-level order flow; volume split by price range is an approximation and will not perfectly reflect signed volume; pivot detection with small windows may miss larger structural swings; VWAP is typically intraday-centric and less meaningful across multi-day swing contexts; the score is additive and may not capture non-linear relationships between features in extreme market regimes (e.g., flash crashes, circuit breaker events, or overnight gaps). The matrix is also susceptible to false signals during major news releases when price and volume behavior dislocate from typical patterns. Users should explicitly test behavior around earnings, macro data and low-liquidity periods.
To learn with the matrix, perform these experiments: (A) collect all BUY/SELL alerts over a 6-month period and measure median outcome at 5, 20 and 60 bars; (B) require additional gating conditions (e.g., only accept BUY when flowRatio>60 and trendScore≥4) and compare expectancy; (C) vary the institutional threshold (2×, 2.5×, 3× volumeMA) to see how many true positive spikes remain; (D) perform multi-instrument tests to ensure parameters are not tuned to a single ticker. Document every test and prefer robust, slightly lower returns with clearer logic rather than tuned “optimal” results that fail out of sample.
Originality statement: This script’s originality lies in the curated combination of intraday value (VWAP), multi-EMA trend scoring, momentum percent oscillator, volume Z-score plus buy/sell flow heuristics and a compact, interpretable scoring system. The script is not a simple indicator mashup; it is a didactic ensemble specifically designed to make internal rationale visible so traders can learn how each market characteristic contributes to actionable probability. The tool’s novelty is its emphasis on interpretability — showing the exact contributing signals behind a composite score — enabling reproducible testing and educational value.
Finally, for TradingView publication, include a clear description listing the modules, a short non-technical summary of how they interact, the tunable inputs, limitations and a risk disclaimer. Remove any promotional content or external contact links. If you used trademark symbols, either provide registration details or remove them. This transparent documentation satisfies TradingView’s requirement that mashups justify their composition and teach users how to use them.
Quantum Trading Matrix — multi-factor intraday dashboard (educational use only).
Purpose: Combines intraday VWAP position, a fast/slow EMA momentum percent oscillator, multi-EMA trend scoring (8/21/50), volume Z-score and buy/sell flow heuristics, pivot-based microstructure detection, and ATR-based volatility buckets to produce a transparent, componentized market score and trade-idea indicator. The mashup is intentional: VWAP identifies intraday value, momentum detects short bursts, EMAs provide structural trend bias, and volume/flow confirm participation. Signals require alignment of at least two components (for example, VWAP ABOVE + Momentum BULLISH + positive flow) for higher confidence.
Inputs: momentum period, volume MA/profile length, EMA configuration (8/21/50), trend multiplier, signal sensitivity, color and display options. Use shorter momentum lengths for scalps and longer for swing analysis. Increase volume MA for thinly traded instruments.
Limitations: Institutional/dark-pool estimates and flow heuristics are approximations, not actual exchange tape. VWAP is intraday-focused. Expect false signals during major news or low-liquidity sessions. Backtest and paper-trade before applying real capital.
Risk Disclaimer: For education and analysis only. Not financial advice. Use proper risk management. The author is not responsible for trading losses.
________________________________________
Risk & Misuse Disclaimer
This indicator is provided for education, analysis and idea generation only. It is not investment or financial advice and does not guarantee profits. Institutional activity flags, dark-pool estimates and flow heuristics are approximations and should not be treated as exchange tape. Backtest thoroughly and use demo/paper accounts before trading real capital. Always apply appropriate position sizing and stop-loss rules. The author is not responsible for any trading losses resulting from the use or misuse of this tool.
________________________________________
Risk Disclaimer: This tool is provided for education and analysis only. It is not financial advice and does not guarantee returns. Users assume all risk for trades made based on this script. Back test thoroughly and use proper risk management.
Pattern ScannerUltimate Pattern Scanner — multi-timeframe candlestick discovery tool (educational use only).
Purpose: This script scans user-selected timeframes for classical candlestick patterns (for example: engulfing, morning/evening stars, hammers, dojis, tasuki gaps, three soldiers/crows, tweezers, marubozu, and others) and reports pattern name, detection price, directional signal (Bull / Bear / Neutral), and a simple volume participation metric. It is intended as an idea-generation and training tool to help traders learn pattern mechanics, not as an automated trading system.
Main modules and rationale: 1) Pattern engine — applies classical candle structure rules to detect formations; 2) SMA trend filter (configurable length) — provides a directional bias to favor trade-with-trend setups; 3) Volume heuristic — approximates participation by separating candles into buy-like and sell-like volume and comparing total volume to a moving average; 4) Multi-timeframe aggregator — collects and presents pattern results from multiple timeframes; 5) Alerts — optional alerts list detected patterns and TFs. Combining these modules is intentional: patterns provide structure, SMA provides context, and volume supplies participation confirmation. Together they improve the educational value and practical relevance of each detected pattern.
How to use: Choose timeframes and SMA length that match your trading horizon. Use the scanner to locate pattern candidates, then confirm with higher-timeframe agreement and volume ratio before considering trade entry. Use structural stops (recent swing highs/lows or ATR-based stops) and define risk:reward rules. For learning, replay alerted bars and record outcomes over fixed horizons to build empirical statistics.
Limitations: Volume classification (close>open) is a heuristic and not a true bid/ask tape. SMA is a lagging trend proxy. Multi-timeframe agreement reduces but does not eliminate false signals, especially around news or in low-liquidity instruments. Use demo accounts and backtesting before live trading.
Inputs you can adjust: timeframe list, SMA length, volume MA length, which patterns to enable/disable, display options.
Compliance notes: This description explains why modules are combined and what the script does without exposing source code logic; it is non-promotional and contains no contact links. Remove any trademark symbols unless registration details are provided.
Risk Disclaimer: This tool is provided for education and analysis only. It is not financial advice and does not guarantee returns. Users assume all risk for trades made based on this script. Backtest thoroughly and use proper risk management.