Valuation Tool ( Indicator )VALUATION (Intermarket Relative Strength Index)
Overview The Valuation indicator is a sophisticated intermarket analysis tool designed to identify overvalued or undervalued conditions of an asset relative to its key correlated benchmarks. By comparing the percentage change of a base symbol against three different external assets (e.g., DXY, Gold, Bonds), the script highlights significant price-value divergences.
Originality & Utility Unlike standard RSI or momentum oscillators that only look at a single asset's price, this script provides a "Fair Value" perspective based on intermarket relationships:
Dynamic Correlation Tracking: It calculates the differential in percentage change between the main chart and three user-defined symbols.
Normalized Comparative Output: Uses a custom Rescale Function that translates raw performance differences into a normalized scale (-100 to +100), making it easy to spot historical extremes.
Custom Correlation Matrix: Traders can adapt the indicator to any asset class (Equities vs. Yields, FX vs. Commodities, etc.), providing a high degree of versatility for macro-thematic trading.
Indicator vs. Strategy Version Please note that THIS IS THE INDICATOR VERSION designed for visual analysis and identifying potential reversal zones. A dedicated BACKTESTING VERSION for quantitative validation is available in my script profile.
Collaboration & Feedback I am focused on refining intermarket models. If you have suggestions on default correlation baskets or logic improvements, please reach out. Support the project by HITTING THE BOOST BUTTON—it helps me continue sharing these tools.
How it Works
Performance Delta: The script measures the percentage change over a 'Period Length' for the main symbol and three comparison IDs (Default: DXY, Gold, 30Y Bonds).
Calculation of Divergence: It subtracts the benchmark's performance from the asset's performance. A positive result means the asset is outperforming the benchmark; a negative result means underperformance.
Rescaling: The raw divergence is normalized over a 'Rescale Length' (default 100 bars) to create a visual oscillator.
How to Use It
Overvalued (+75 Level): When the lines reach the upper dashed threshold, the asset has significantly outperformed its benchmarks, suggesting it may be "expensive" and due for a mean reversion or correction.
Undervalued (-75 Level): When the lines drop below the lower threshold, the asset has lagged significantly behind its correlations, indicating a potential "cheap" entry point.
Convergence/Divergence: Watch for all three lines to align at an extreme. Triple alignment at +/- 75 provides a high-probability signal of intermarket exhaustion.
RISK DISCLOSURE Trading involves substantial risk. Intermarket relationships can decouple during periods of high volatility or fundamental shifts. Past correlations do not guarantee future results. This tool is for informational purposes and should be used as part of a comprehensive trading plan.
Swingtrading
XAU PRO [EN]XAU PRO is a macro-driven dashboard for Gold (XAUUSD) designed to provide a clear, structured, and actionable macro context without adding clutter to the chart. It is a table-only indicator: no lines, no oscillators, no background painting, and no buy/sell arrows. Its purpose is to support decision-making, not to replace price action or execution strategies.
The indicator analyzes Gold using a hybrid macro framework that combines interest rates (nominal and real), USD behavior, inflation expectations, liquidity conditions, volatility and market stress, and intermarket confirmation (Gold, Silver, and Miners). All of this information is consolidated into a single, easy-to-read panel.
A key feature of XAU PRO is its hybrid timeframe logic. Macro data from FRED (such as real yields, inflation breakevens, and liquidity) is only available on Daily or higher timeframes. Market instruments like XAUUSD, DXY, VIX, and ETFs can be intraday. When an intraday calculation timeframe is selected (for example 15m, 1h, or 4h), the indicator automatically forces FRED series to Daily while keeping other symbols on the chosen timeframe. This avoids unsupported-resolution errors and ensures stable, consistent behavior. The table explicitly displays the calculation timeframe so the user always knows what is being used.
The table is designed to answer practical trading questions. It shows the calculation timeframe, the current macro regime (such as Risk-Off, Inflation, Tightening, Liquidity-Up, or Neutral), and a clear permission state that tells whether trading conditions are favorable: LONG OK, SHORT OK, WAIT, AVOID, or BLOCKED. It also displays the macro bias direction, the adjusted macro score that reflects the strength of drivers, the confluence percentage that measures environment quality, a divergence filter between Gold and real yields, the relevance of correlation between Gold and 5-year real yields, and a filtered historical accuracy metric. Each row includes color-coded status, plain-English explanations, and directional arrows showing whether conditions are improving or deteriorating.
XAU PRO is intended to be used as a professional workflow tool. Traders use higher-timeframe macro information to define context and risk conditions, then execute trades using their own price-based setups. The indicator does not tell you when to enter or exit; it tells you when trading makes sense and when it does not.
The indicator is fully configurable. Users can choose whether calculations follow the chart timeframe or a custom timeframe, move the table to different screen positions, adjust fonts and colors, and enable or disable specific macro components such as VIX, MOVE, or GVZ.
This is not a signal indicator. It does not repaint, does not rely on curve-fitting, and is designed for clarity, stability, and macro awareness. It is best suited for Gold traders who separate market context from execution and want a clean, professional macro dashboard directly on their chart.
Market Zones ProMarket Zones Pro
Market Zones Pro is an advanced, multi-timeframe market profile indicator built for professional traders who demand deep insight into market structure, volume distribution, and time-at-price dynamics. Its hybrid volume/time-weighted engine delivers real-time value areas, points of control, and proprietary extended levels — all in one clean, customizable overlay. This invite-only script distinguishes itself with original features like the Venom Pivots projection system, intelligent 80% Rule confirmation logic, and flexible stacked composite profiles that create long-term distribution views not available in standard tools.
Core Features & Concepts
• Hybrid Market Profile Engine Seamlessly blends volume-based and time-at-price (TPO) data — originally developed by J. Peter Steidlmayer in the 1980s — into a configurable hybrid mode (pure volume, pure time, or balanced). This creates robust, adaptive profiles that perform reliably across quiet sessions and high-volatility environments alike.
• Value Area & Point of Control (POC) The shaded value area captures one standard deviation of trading activity (~68% of total volume/time). The POC marks the price level with the highest concentration — widely regarded as the “fairest” price and a natural magnet for price action
• Virgin POCs (VPOCs) Prior POCs that price has not yet revisited. These untouched levels frequently act as powerful support or resistance, often producing stalls or reversals when finally tagged.
• Venom Pivots Proprietary extended support and resistance levels projected from the current value area dimensions. Up to six levels above and below provide harmonic targets: closer pivots (R1/S1) for short-term moves, farther ones for trend extensions
• 80% Rule Detection Automated implementation of the observation popularized by James Dalton : when price opens outside the value area and enters it, there is historically an ~80% probability of reaching the opposite side. The script intelligently distinguishes potential vs. confirmed states, handles breakout scenarios, and applies tailored confirmation logic
• Developing (Future) Value Areas Real-time projection of the current incomplete period’s value area, POC, and Venom levels — essential for intraday and swing traders.
• Stacked Composite Profiles Merges multiple completed periods into a single long-term histogram (e.g., 12 months = 1-year composite). Ideal for identifying persistent “shelves” and overall market distribution.
• High Volatility Warnings & Visual Zones Automatically flags compressed value areas that often precede explosive moves. Gradient zones outside the value area, up/down volume histograms, and multi-timeframe color coding provide instant visual context.
• Smart Alerts & Status Table Custom alerts for 80% Rule states, value area breakouts, VPOC touches, and volatility warnings — all with price levels included. A real-time status table offers an immediate position summary relative to key levels.
• Extensive Customization Over 50 inputs control visuals, labels, opacity, data modes, and session handling (regular + extended hours supported with accurate rollover alignment for futures and forex).
How to Use It
1. Add to chart → select desired Profile Timeframe (Auto or manual).
2. Enable Extended Trading Hours in chart settings for precise developing value areas on 24/7 instruments.
3. Interpret: range-trade inside the value area; look for trends on breaks; use VPOCs and Venom levels for entries/exits; follow confirmed 80% Rule signals for high-probability targets.
4. Leverage the status table for instant context and set rich alerts for live trading.
Why Market Zones Pro?
The unique combination of proprietary Venom projections, sophisticated 80% Rule logic, hybrid volume/time weighting, developing value areas, and flexible stacked composites delivers insights and automation far beyond conventional market profile indicators. Proven across diverse assets and timeframes (as shown in screenshots), it saves significant analysis time while providing clear, actionable edges.
Structural Trend Integrity Score (STIS)The Structural Trend Integrity Score (STIS) is a market regime and trend-quality indicator designed to evaluate the health and durability of a price trend, rather than its direction or momentum. Instead of focusing on overbought or oversold conditions, STIS measures whether a trend is structurally supported by consistent organization, persistence above trend, controlled pullbacks, and smooth progression.
STIS outputs a normalized score from 0 to 100, where higher values indicate stronger and more reliable trend structure, and lower values signal increasing fragility or structural breakdown. This makes it especially well suited for index funds and highly liquid markets, where trends tend to persist or fail based on internal structure rather than short-term price acceleration.
The indicator is intended to be used as a risk and confidence framework, not as a direct buy or sell signal. STIS helps traders and investors determine when it is efficient to maintain or increase exposure and when caution is warranted. It works best when paired with separate timing or entry tools and is particularly effective for long-only or trend-following strategies.
Omega Stock Evaluation [OmegaTools]Omega Stock Evaluation is a comprehensive, institutional-grade equity analysis framework designed to synthesize fundamental valuation, technical context, relative performance, risk metrics, volume behavior, and analyst sentiment into a single decision-support system. It is not a “signal generator” in the traditional sense: it is a multi-dimensional evaluation engine built to answer one question—how a stock is positioned in terms of value, trend, risk, and market behavior.
Purpose
This script is designed to provide structured, repeatable stock evaluation for investors and analysts who want more than isolated indicators. It consolidates multiple independent valuation models, long-horizon technical equilibrium measures, market-relative valuation (multiple normalization), risk diagnostics, and behavioral proxies into a single output that can be monitored over time.
What the indicator delivers
• A blended Fair Price derived from fundamentals, market multiples, and technical equilibrium
• A volatility-normalized Oscillator that expresses discount/premium positioning vs fair value
• A multi-factor Rating (Strong Sell → Strong Buy) designed for strategic positioning
• A real-time Dashboard with: Rating, VaR, Beta, Trend, Location, Fundamental status, Performance status, Institutional bias, and Analysts consensus
• Optional overlays: Fundamental fair value, Technical fair value, PE-adjusted fair value, individual fundamental models, and analyst target price bands
Data and robustness logic
The script uses TradingView Financial datasets and includes normalization / cleaning steps to keep metrics realistic across different sources and reporting formats. Percent-like fields are automatically converted when needed, missing values are handled gracefully, and extreme or unstable multiples (e.g., implausible EV/Sales or EV/EBITDA) are filtered out.
Risk-adjusted discount rate and growth constraints
A core design choice is to avoid “fantasy valuations.” The script defines a bounded required return r , adjusted by credit/financial risk using the Altman Z-Score when available. Growth assumptions are also bounded and constrained so that terminal growth remains below the discount rate, preventing mathematically explosive valuations and improving stability across sectors.
Fundamental valuation engine (multi-model)
The indicator computes up to seven independent fair value estimates, each based on a distinct valuation philosophy. These estimates are then aggregated into a robust fundamental fair price using filtering and averaging logic to reduce outlier impact.
Fundamental models included
M1 – Discounted Cash Flow (FCF)
Projects Free Cash Flow for a fixed horizon and discounts it using the required return, then converts enterprise value to equity value by adjusting for net debt and shares outstanding.
M2 – Peter Lynch / PEG-style implied price
Derives an implied target P/E from growth and dividend yield (bounded), then estimates fair price as EPS(TTM) × target P/E.
M3 – Economic Value Added (EVA)
Estimates firm value as invested capital plus the present value of EVA streams, where EVA is NOPAT minus the capital charge (r × invested capital).
M4 – EV/Sales normalized valuation
Uses the historical median EV/Sales multiple as a target and values the company using TTM revenue, adjusted to equity value.
M5 – Residual Income valuation (ROE fade)
Builds a residual income model where ROE advantage fades toward the required return over the horizon, adding the present value of residual income to book value.
M6 – EV/EBITDA normalized valuation
Uses the historical median EV/EBITDA multiple as a target and values the company using TTM EBITDA, adjusted to equity value.
M7 – Justified P/B (closed-form residual income)
Computes a justified price-to-book estimate from ROE, growth, and required return and derives a fair price from BVPS.
Fundamental fair price aggregation
Only valid, positive model outputs are used. The script sorts the valuation set, discards extreme tails when enough models are available, and computes a robust average to produce a stable Fundamental Fair Price suitable for continuous monitoring.
Technical fair value
To avoid relying solely on accounting-driven valuations, the script computes a Technical Fair Price from long-horizon market structure: it blends the 252-day high/low range with a long-term VWMA equilibrium. This acts as a market-derived anchor representing where price tends to revert across cycles.
Market multiple normalization (PE-adjusted valuation)
The script calculates a PE-Adjusted Fair Price by comparing the stock’s current P/E (from EPS TTM) to the S&P 500 average P/E series. This provides an immediate market-relative valuation signal: “what would this stock’s price be if it traded at the index multiple?”
Blended fair price
The final Fair Price is a composite average of:
• Fundamental fair price (multi-model)
• PE-adjusted fair price (market-relative)
• Technical fair price (market equilibrium)
This blend reduces single-model bias and improves usability across sectors and regimes.
Oscillator and location logic
Deviation from fair price is normalized by long-horizon volatility (standard deviation), producing a valuation oscillator that expresses where price sits relative to fair value in standardized units. The script defines three regimes:
• Discount (deep undervaluation vs fair price)
• Neutral
• Premium (overvaluation vs fair price)
Color gradients adapt dynamically to the oscillator level for fast visual interpretation.
Trend health and structural direction
Instead of using only price moving averages, trend is assessed using the slope of fair value itself (a structural measure). Rising fair price implies improving fundamentals/conditions; declining fair price implies deterioration. This supports a more “business-like” view of trend.
Performance and institutional behavior
Performance is evaluated relative to the PE-adjusted reference using ATR-scaled thresholds, classifying the stock as underperforming/overperforming vs market-normalized expectations.
Institutional activity is approximated using statistically significant volume expansions and short-term price direction during those expansions, producing a Buying / Selling / Neutral institutional bias proxy.
Composite rating system
The indicator converts multiple components into a unified Rating score: trend, valuation location, fundamental mispricing, relative performance, institutional bias, long-term MA regime, and RSI extremes. The rating is scaled by a volume factor so that high-conviction volume environments receive greater weight.
Final categories are mapped as: Strong Sell , Sell , Hold , Buy , Strong Buy , displayed both numerically and textually.
Risk metrics: VaR and Beta
The dashboard includes:
• Historical VaR (percentile-based on daily log returns) for downside risk awareness
• Beta computed from relative volatility and correlation vs SPY across a long window
These metrics provide critical context for comparing opportunities across different risk profiles.
Analyst consensus
Sell-side recommendations are aggregated into:
• A dominant consensus label (Strong Buy → Strong Sell)
• A weighted average recommendation score (%)
This allows you to identify alignment or divergence between market valuation, price behavior, and analyst positioning.
Visual options and overlays
The indicator is designed to be clean, modular, and presentation-ready. You can choose to display:
• Blended Fair Price
• Technical, Fundamental, and PE-Adjusted fair prices
• All individual fundamental model lines (M1–M7)
• Analyst target price bands (High/Low/Average), plotted forward from the official target price date
A compact, professional table summarizes the entire evaluation in one glance.
Recommended workflow
This tool is best used for:
• Long-term screening and rotation
• Valuation + trend confluence analysis
• Portfolio construction and risk-aware allocation
• Identifying discounted stocks with improving structure (or expensive stocks with weakening structure)
It is not intended as a standalone entry/exit trigger for short-term trading.
Disclaimer
Omega Stock Evaluation is an analytical tool and does not constitute financial advice. Financial datasets may vary in availability and update timing across tickers and exchanges. Always validate with primary sources before making investment decisions.
Omega Stock Evaluation does not try to predict. It tries to quantify context—value, trend, risk, and behavior—in one coherent system.
High RR Trend Pullback [Premium] 🚀 High RR Trend Pullback
A **high-probability trend pullback indicator** built for traders who want **clean entries and strong risk–reward setups**.
This script uses:
* **200 EMA** for institutional trend direction
* **50 EMA + ATR zones** for precise pullback entries
* **Strong candle confirmation** to filter weak signals
Only trade **with the trend**, only enter at **value**, and only on **momentum confirmation**.
### ✅ Features
* Clear BUY / SELL signals
* Dynamic EMA & pullback zone visualization
* Smart on-chart dashboard
* Built-in alerts for automation
* Modern, clutter-free premium design
Works seamlessly on **Forex, Crypto, Indices, and Stocks**.
⚠️ *For educational purposes only. Always manage risk.*
Accumulative Swing Cloud [MarkitTick]💡This indicator presents a modernized hybrid approach to J. Welles Wilder’s classical Accumulative Swing Index (ASI). While the traditional ASI is often viewed as a simple line oscillator used to confirm price breakouts, the Accumulative Swing Cloud reconstructs this concept into a dynamic trend-following system. By smoothing the raw ASI data into multiple moving average layers, this script creates a "Cloud" structure that visualizes the strength, direction, and momentum of the swing index, effectively treating the ASI value itself as a tradeable price action entity.
● Originality and Utility
The standard Accumulative Swing Index is a powerful tool for seeing through the "noise" of open, high, low, and close prices to find the real trend. However, looking at a raw ASI line can be jagged and difficult to interpret for sustained trends. This script innovates by applying "Cloud Dynamics" to the ASI. It calculates three distinct moving averages (Fast, Mid, and Slow) of the ASI value itself. The area between the Fast and Slow averages is filled with a dynamic gradient color. This allows traders to not only see the trend direction (Bullish or Bearish) but also gauge the volatility and strength of the move based on the expansion or contraction of the cloud's width. Additionally, this version introduces an optional Volume Integration feature, allowing the Swing Index calculations to be weighted by relative volume, giving more significance to moves backed by high market participation.
● Methodology and Calculations
The core of this indicator relies on the Swing Index calculation. It compares the current bar's Open, High, Low, and Close against the previous bar's values to derive a variable "R" (a measure of the market's range).
The script determines the largest price movement (K) among the High-Close, Low-Close, and High-Low ranges.
It calculates the "R" value based on the relationship between the daily range and the gap between the prior close and current open.
A Swing Index (SI) value is derived using the Limit Move value (T), the defined Multiplier, and the calculated R and K values.
This SI is accumulated into a running total (ASI State).
If Volume Integration is enabled, the SI is multiplied by a Volume Factor (Current Volume divided by Average Volume), capped at 3.0 to prevent outlier distortion.
● Visual Guide
The indicator plots several key visual elements on the chart:
Cloud Fast (Green Line): Represents the shorter-term moving average of the Accumulative Swing Index.
Cloud Slow (Red Line): Represents the longer-term moving average.
Cloud Fill (Gradient Area): The space between the Fast and Slow lines.
Green Gradient: Indicates the Fast MA is above the Slow MA (Bullish Trend).
Red Gradient: Indicates the Fast MA is below the Slow MA (Bearish Trend).
Gradient Intensity: The opacity of the color scales dynamically based on the width of the cloud relative to its recent historical maximum. A wider cloud (stronger trend/higher volatility) appears more solid, while a narrow cloud appears more transparent.
ASI Line (Color-Coded Line): The thick line represents the current raw Accumulative Swing Index value. It changes color (Green/Red) based on its position relative to the Signal Line.
Signal Line (Gray Line): A Simple Moving Average of the ASI Line, acting as a trigger for immediate reversals.
Bar Coloring: The main price candles are colored to match the current state of the Cloud (Green for Bullish Cloud, Red for Bearish Cloud).
● How to Use
Trend Identification: Use the Cloud color to determine the primary trend. A Green Cloud suggests an uptrending market structure, while a Red Cloud suggests a downtrend.
Entry Signals: Traders often look for the "ASI Line" to cross the "Signal Line" in the direction of the Cloud. For example, if the Cloud is Green, a crossover of the ASI Line above the Signal Line is a bullish confirmation.
Cloud Crossovers: A crossover of the Fast and Slow Cloud lines represents a major structural shift in the Accumulative Swing Index trend.
Volatility Filter: Pay attention to the gradient intensity. A very narrow (transparent) cloud indicates low momentum or consolidation, while a widening (solid) cloud indicates expanding momentum.
● Inputs and Settings
ASI Core Engine: Configure the Daily Limit (T) and Multiplier to tune the sensitivity of the Swing Index calculation.
Volume Integration: Toggle "Weight ASI by Volume" to factor in volume spikes. Adjust "Volume Avg Length" to define the baseline volume.
Cloud Dynamics: Choose the Moving Average type (EMA, SMA, RMA, WMA) and set the Fast, Mid, and Slow lengths to customize the cloud's reactivity.
Visual Enhancements: Toggle "Color Candles by Cloud Width" to apply the gradient coloring directly to the price bars.
● Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Swing Data [ATR Ext | RVol | ADR | Ticker/Sector RS]Disclaimer : This indicator is not financial advice and is strictly for educational and informational purposes only. The metrics and signals provided herein—including ATR extensions, volume projections, and rolling alpha for relative strength — are calculated based on historical market data and do not guarantee future performance. Trading stocks and commodities involves significant risk of loss. The user assumes full responsibility for all trading decisions and should always perform their own due diligence before executing trades.
Hello there. I was inspired after reading this Twitter post by Steve Jacobs regarding the ATR Matrix. I followed Steve's recommendation to the interesting indicator built by @Fred6724 for @jfsrev but I couldn't match my manual calculations to their math. So, I threw together this TradingView indicator to match my own manual calculations for the ATR Extension Multiple. And then, I added more quality-of-life features that I found useful in my daily workflow such as table positioning, specific data streams, threshold customization, and conditional coloring. This became quite a snowball.
Daily Chart : Please note that the design for this indicator was focused on the daily chart. Edge case testing has not been fully conducted for other charting periods, although the math should apply agnostically. The calculations of rolling alpha for Ticker RS and Sector RS fetch daily data instead of the displayed chart period, which may affect Ticker RS if you have turned on pre-market and after-market.
Relative Strength Differential reveals rolling alpha: One way to read the Ticker RS and Sector RS is... this stock is beating SPY by +75% in the past 63 days and blue color means the stock's outperformance is accelerating but the sector of this stock is beating SPY by a sleepy 3% and orange color means the sector's performance against the broader market is shrinking... so at a glance, we can conclude this is a strong stock in a lagging sector.
Status Line : The script outputs the raw ATR Extension value, ATR%, and a Boolean (0/1) for the ATR Extension alert dot directly to the Status Line. This allows you to hover your mouse over any historical candle to see exactly how extended price was on that specific candle, without needing to calculate it manually. These values are coded to display as text only. They provide the data you need without drawing distracting line plots across your price action. In the Style Tab of the indicator settings, you will see checkboxes for these values. Avoid toggling them off and on. Doing so can override the script’s default "invisible" setting and force TradingView to draw unnecessary lines on the chart.
Data streams available for turning on/off:
ATR Multiple above SMA (default SMA50, default alert on candle >6 multiple, the simple math is Price minus SMA50 and then divide by ATR)
ATR Percent (default period length 14)
ATR Value
Percent Distance from SMA (default SMA50)
Projected Relative Volume calculated against Average Volume (default 60 day avg vol)
Projected Volume (estimates end of day volume based on current volume at elapsed time)
Projected Dollar Volume (estimates end of day turnover based on projected volume x current price... it's a ballpark for gauging liquidity... time arrays for modestly more accurate turnover projection is compute heavy and low signal intel)
Average Volume (default 60 day)
Average Dollar Volume (default 60 day)
ADR Percent (default period length 20 while TradingView prefers 14)
ADX (default period length 14)
Low of Day Price
Dynamic Stop Loss (default Stop MA length 10 and Stop ATR multiple 0.5, adjust at your preference)
Market Capitalization (calculates latest Fiscal Quarter's Shares Outstanding x Price)
Ticker RS vs SPY (calculates the stock's 63-day rolling performance against the broader market to quantify raw outperformance percentage; the text color signals velocity, turning default blue if the relative strength is flying above the 21-day average of this relative strength or default orange if shrinking below)
Sector RS vs SPY (calculates the sector's 63-day rolling performance against the broader market to quantify raw outperformance percentage; the text color signals velocity, turning default blue if the relative strength is flying above the 21-day average of this relative strength or default orange if shrinking below)
Sector (basic exception handling such as metal/energy/crypto in ambiguous industries and GICS industry overrides, see code block below)
Industry (pulls TradingView's syminfo, truncates when too long)
Advanced mapping of the Sector string to a specific ETF, GICS Compliant.
// 1. Get Sector and Industry Strings
// 'str.lower' converts the description to lowercase to make keyword matching easier (case-insensitive).
string sec_raw = syminfo.sector
string ind_raw = syminfo.industry
string desc_raw = str.lower(syminfo.description)
// Default Fallback: If no match is found, we compare against SPY (Market Average).
string sec_etf = "SPY"
// 2. DEFINE CONDITIONAL GATES (The Safeguards)
// CRITICAL: We only want to scan for keywords (like "Silver") if the stock is in a vague industry bucket.
// This prevents "False Positives". For example, we don't want "Silvergate Bank" (Regional Banks)
// to be accidentally reclassified as a Mining stock just because it has "Silver" in the name.
bool is_ambiguous = ind_raw == "Investment Trusts/Mutual Funds" or ind_raw == "Miscellaneous" or ind_raw == "Financial Conglomerates" or ind_raw == "Other Metals/Minerals" or ind_raw == "Precious Metals"
// 3. KEYWORD LOGIC (Only runs inside the Gate)
// RULE A: COMMODITY TRUSTS (Metals -> XLB)
// Fixes: PSLV, PHYS, SPPP, GLD, SLV which are legally "Financial Trusts" but trade like Commodities.
// Logic: If it's a Trust AND mentions "Silver/Gold/Bullion", map to Materials ( AMEX:XLB ).
bool has_metal = str.contains(desc_raw, "silver") or str.contains(desc_raw, "gold") or str.contains(desc_raw, "bullion") or str.contains(desc_raw, "platinum") or str.contains(desc_raw, "palladium") or str.contains(desc_raw, "precious")
// RULE B: ENERGY TRUSTS (Oil/Uranium -> XLE)
// Fixes: USO, UNG, SPUT (Uranium).
// Logic: Uranium and Oil trusts correlate with Energy ( AMEX:XLE ), not Financials.
bool has_energy = str.contains(desc_raw, "oil") or str.contains(desc_raw, "natural gas") or str.contains(desc_raw, "petroleum") or str.contains(desc_raw, "uranium") or str.contains(desc_raw, "crude")
// RULE C: CRYPTO PROXIES (Bitcoin/Ether -> XLK)
// Fixes: GBTC, IBIT, FBTC.
// Logic: Crypto equities currently have the highest correlation with High-Beta Tech ( AMEX:XLK ).
bool has_crypto = str.contains(desc_raw, "bitcoin") or str.contains(desc_raw, "ethereum") or str.contains(desc_raw, "crypto") or str.contains(desc_raw, "coin")
// 4. EXECUTE KEYWORD MAPPING
if is_ambiguous and has_metal
sec_etf := "XLB" // Force Metals to Materials
else if is_ambiguous and has_energy
sec_etf := "XLE" // Force Energy Trusts to Energy
else if is_ambiguous and has_crypto
sec_etf := "XLK" // Force Crypto to Tech (Risk On)
// 5. GICS INDUSTRY OVERRIDES (The "Standard" Fixes)
// These rules fix known classification errors where TradingView data lags behind GICS reclassifications.
// EXCEPTION: PAYMENT PROCESSORS (The "Visa" Rule - 2023 Update)
// Visa ($V), Mastercard ( NYSE:MA ), and PayPal ( NASDAQ:PYPL ) are now Financials ( AMEX:XLF ), not Tech.
else if ind_raw == "Data Processing Services"
sec_etf := "XLF"
// EXCEPTION: COMMUNICATIONS (The "Google/Meta" Rule - 2018 Update)
// Separates "Internet" and "Media" stocks ( NASDAQ:GOOGL , NASDAQ:META , NASDAQ:NFLX ) from "Packaged Software" ( NASDAQ:MSFT ).
// These belong in Communications ( AMEX:XLC ).
else if ind_raw == "Internet Software/Services" or ind_raw == "Advertising/Marketing Services" or ind_raw == "Broadcasting" or ind_raw == "Cable/Satellite TV" or ind_raw == "Movies/Entertainment"
sec_etf := "XLC"
// EXCEPTION: REAL ESTATE (The "REIT" Rule)
// Pulls REITs out of the Financials bucket ( AMEX:XLF ) and into their own sector ( AMEX:XLRE ).
else if str.contains(ind_raw, "Real Estate") or str.contains(ind_raw, "REIT")
sec_etf := "XLRE"
// EXCEPTION: AUTO MANUFACTURERS (The "Tesla" Rule)
// Tesla ( NASDAQ:TSLA ), Ford ($F), and GM are Consumer Discretionary ( AMEX:XLY ), not Tech or Industrials.
else if ind_raw == "Motor Vehicles"
sec_etf := "XLY"
// EXCEPTION: INTERNET RETAIL (The "Amazon" Rule)
// Amazon ( NASDAQ:AMZN ) and eBay are Consumer Discretionary ( AMEX:XLY ), distinct from generic "Retail Trade" ( AMEX:XRT ).
else if ind_raw == "Internet Retail"
sec_etf := "XLY"
// EXCEPTION: TEXTILES & APPAREL
// Nike ( NYSE:NKE ), Lululemon ( NASDAQ:LULU ), and Ralph Lauren are Consumer Discretionary ( AMEX:XLY ).
else if ind_raw == "Apparel/Footwear" or ind_raw == "Textiles"
sec_etf := "XLY"
// EXCEPTION: AEROSPACE & DEFENSE (The "Lockheed" Rule)
// Often mislabeled as Tech in some feeds, strictly belongs to Industrials ( AMEX:XLI ).
else if ind_raw == "Aerospace & Defense"
sec_etf := "XLI"
// EXCEPTION: SEMICONDUCTORS
// Explicit check to ensure Semis ( NASDAQ:NVDA , NASDAQ:AMD ) always stick to Tech ( AMEX:XLK ).
else if ind_raw == "Semiconductors"
sec_etf := "XLK"
// 6. STANDARD FALLBACKS
// If the stock didn't trigger any exception above, map based on the broad Sector name.
else
sec_etf := switch sec_raw
"Technology Services" => "XLK" // Microsoft, Oracle, Adobe
"Electronic Technology" => "XLK" // Apple, Hardware
"Finance" => "XLF" // Banks, Insurance
"Health Technology" => "XLV" // Pharma, Biotech
"Health Services" => "XLV" // Managed Care (UNH)
"Retail Trade" => "XRT" // Home Depot, Walmart (Retailers)
"Consumer Non-Durables" => "XLP" // Coke, P&G (Staples)
"Energy Minerals" => "XLE" // Exxon, Chevron (Oil)
"Industrial Services" => "XLI" // Construction, Engineering
"Consumer Services" => "XLY" // Restaurants, Hotels
"Consumer Durables" => "XLY" // Homebuilders, Appliances
"Utilities" => "XLU" // Power, Water
"Transportation" => "XTN" // Airlines, Rail, Trucking
"Non-Energy Minerals" => "XLB" // Steel, Copper, Chemicals
"Commercial Services" => "XLC" // Remaining Media/Comms
"Communications" => "XLC" // Legacy tag
"Distribution Services" => "XLY" // Wholesalers
=> "SPY" // Final Catch-All
QuantRX Market StructureV1QuantRX — Market Structure (Free V1) is a price-action overlay that visualizes market structure using confirmed swing pivots and common structure labels such as BOS (Break of Structure) and CHOCH (Change of Character).
What it shows
Confirmed swing highs/lows (HH/HL/LH/LL)
BOS / CHOCH events based on breaks of the most recent confirmed structure level
Optional right-edge tags and subtle bias coloring
Important behavior notes (read before use)
Swing points are based on confirmed pivots (ta.pivothigh/ta.pivotlow). This means a swing is only confirmed after the pivot length has completed, and labels may appear on prior bars once confirmed (normal pivot behavior; not forward-looking data).
BOS/CHOCH events are intended to be interpreted on closed bars for consistency.
Settings
Swing mode uses a longer pivot length for higher-level structure.
Internal mode uses a shorter pivot length for short-term structure.
(Use one mode at a time to match your timeframe and noise tolerance.)
Disclaimer
This indicator is for educational and informational purposes only and does not constitute financial advice. Trading involves risk; you are responsible for your own decisions.
Smart Money Confluence Heatmap [PhenLabs]📊 Smart Money Confluence Heatmap
Version: Pine Script™ v6
📌 Description
The Smart Money Confluence Heatmap is a professional‑grade Smart Money Concepts indicator designed to identify high‑probability institutional trading zones. It merges multiple advanced market factors into a single confluence score, allowing traders to focus only on areas that matter. By synthesizing Fair Value Gaps, Order Blocks, Liquidity Sweeps, Volume Strength, and Market Structure, this script removes subjective bias and replaces it with data‑driven confirmation.
🚀 Points of Innovation
Unified confluence scoring system combining five institutional concepts
Adaptive ATR‑based zone sizing for volatility‑adjusted precision
Automatic trend and structure alignment scoring
Volume‑validated Order Blocks and Liquidity Sweeps
Probability‑ranked zones instead of static levels
🔧 Core Components
Fair Value Gap detection with imbalance strength scoring
Order Block identification confirmed by displacement and volume
Liquidity sweep analysis using wick depth and volume expansion
Volume strength modeling for accumulation and distribution phases
Market structure confirmation using BOS and directional bias
🔥 Key Features
Confluence heatmap zones graded by bullish and bearish probability
Minimum score filtering to remove low‑quality setups
Automatic risk‑to‑reward based TP and SL projections
Entry alerts when price taps validated institutional zones
🎨 Visualization
Color‑graded heatmap zones representing probability strength
Percentage score labels with component icons
On‑chart dashboard displaying market bias and structure state
✅ Best Use Cases
Liquidity sweep reversals at key structure levels
Trend‑aligned pullbacks into institutional zones
Intraday and swing trading using confluence confirmation
⚠️ Limitations
Not designed for low‑liquidity or extremely ranging markets
Confluence does not guarantee outcomes and requires risk management
💡 What Makes This Unique
Objective probability scoring instead of subjective SMC interpretation
Multi‑layer institutional confirmation in a single indicator
Built for traders who demand clarity, not chart clutter
💡 Note:
This indicator is for educational purposes only and should always be used alongside proper risk management and higher‑timeframe context.
ATR Reversal Wick ZigZag, Swing P2-P3 LabelsThis indicator plots a wick-based ZigZag where swing points are confirmed by a minimum counter-move (ATR multiple) and a minimum number of bars between swings. Confirmed swing highs are labeled P2, swing lows P3. Optional IDs, labels, and a trend-colored ZigZag line.
Wick-based ZigZag (High/Low wicks)
Swing confirmation via ATR reversal threshold + minimum bars between swings
Labels: P2 = confirmed swing high, P3 = confirmed swing low (optional IDs)
Optional ZigZag line colored by simple HH/HL vs LL/LH trend state
Note: potential swings can move until confirmed
SuperSqueeze 2.0 - Supertrend Indicator with Buy/Sell SignalsSuperSqueeze 2.0 — Supertrend Indicator with Buy/Sell Signals
A clean, customizable Supertrend indicator for identifying trend direction and reversal points. Uses ATR-based dynamic support/resistance levels that trail price action.
HOW IT WORKS:
- Green line = Uptrend (price above support)
- Red line = Downtrend (price below resistance)
- Buy/Sell labels appear on trend flips
FEATURES:
- Adjustable ATR period and multiplier (default: 10, 3.0)
- Two ATR calculation methods (standard or SMA-based)
- Optional trend highlighting fill
- Built-in alerts for trend changes
BEST FOR:
- Trend following entries and exits
- Trailing stop-loss placement
- Filtering trades in the dominant direction
- Works on any timeframe and instrument (futures, stocks, crypto, forex)
DEFAULT SETTINGS: ATR 10, Multiplier 3.0 — adjust multiplier higher for fewer signals, lower for more sensitivity.
DM for access
Next Candle PredictorAdvanced TradingView Indicator for Precise Buy and Sell Signals
Overview:
The Predicta Futures - Next Candle Predictor is a cutting-edge TradingView indicator designed to forecast the next candle's direction in futures and cryptocurrency markets. Leveraging a multi-indicator confluence strategy, this tool provides traders with actionable long and short prediction percentages, enhanced by dynamic ADX-based thresholds and visual projection candles. Ideal for scalping, day trading, or swing trading on platforms like MEXC or Binance futures, it combines Supertrend, MACD, RSI, Stochastic, ADX, and volume analysis to deliver high-probability buy and sell signals while minimizing false positives.
Key Features:
* Multi-Indicator Confluence Scoring: Integrates Supertrend for trend direction, EMAs (8, 21, 50) for alignment, MACD for momentum crossovers, RSI for overbought/oversold conditions, Stochastic for divergence detection, ADX for trend strength, and volume ratios for confirmation. A customizable confluence score (0-6) ensures signals meet user-defined criteria, reducing whipsaws in volatile markets.
* Dynamic Prediction Thresholds: ADX-driven adjustments lower the required prediction percentage (e.g., 60% in strong trends) for "PERFECT TIME" entries, adapting to market conditions like ranging or trending phases.
* Visual Analysis Table: A sleek, color-coded dashboard displays progress bars for each indicator, prediction percentages, and status (e.g., "PERFECT TIME" or "WAIT"). Supports long and short analyses with intuitive ASCII bars for quick scans.
* Projection Candles: Simulates potential next-candle outcomes with volatility-scaled (via Bollinger Bands width) green long and red short candles, aiding in visualizing price targets.
Buy/Sell Signals and Alerts: Generates labeled "BUY" and "SELL" arrows on EMA crossovers within confirmed trends, with separate alerts for basic signals and high-confluence "PERFECT TIME" opportunities.
* Customizable Inputs: Adjust ATR periods, Supertrend factors, minimum confluence scores, and volume ratios to tailor the indicator for stocks, forex, or crypto perpetual futures.
How It Works:
This TradingView script calculates long and short scores using weighted contributions from key indicators, normalizing them into prediction percentages. A confluence check—factoring trend, EMA alignment, MACD, Stochastic, volume, and ADX—triggers "PERFECT TIME" only when conditions align robustly. For example:
In a downtrend (Supertrend red), with bearish MACD and Stochastic, and sufficient volume, the indicator highlights short opportunities.
Dynamic thresholds ensure aggressive entries in strong trends (ADX >25) and conservative ones in weak trends.
Backtested for reliability, it excels in identifying reversals and continuations, making it a must-have for traders seeking an edge in futures trading strategies.
Usage Instructions:
1. Add the indicator to your TradingView chart.
2. Customize settings via the inputs panel (e.g., set minConfluence to 5 for stricter signals).
3. Monitor the analysis table for predictions and confluence scores.
4. Act on "BUY/SELL" labels or "PERFECT TIME" alerts, combining with your risk management.
5. Enable projection candles for visual forecasting of the next bar.
Compatible with all timeframes, from 1-minute scalping to daily swings. Note: This is not financial advice; always verify signals with additional analysis.
Rate and review if it boosts your trades!
Thank you!
Swing Master by Pooja📘 Swing Master by Pooja
Invite-Only | Rule-Based Swing & Trend Structure Indicator
🔍 What this indicator is
Swing Master by Pooja is a rule-based technical analysis indicator designed to help traders identify high-quality swing opportunities within an established trend structure.
This script is not a trading strategy.
It does not execute trades and does not provide fixed targets or stop-loss levels.
Instead, it functions as a decision-support tool.
Visual signals appear only on confirmed candles, and only when trend structure, momentum, and market participation align together.
The core objective of this indicator is filtering low-quality market conditions and avoiding random entries, not generating frequent signals.
🎯 Intended Trading Use
This indicator is intended for traders who:
Trade trend-based swings and pullbacks
Prefer structure-aligned entries instead of chasing price
Want multi-factor confirmation before acting
Apply their own execution and risk-management rules
Applicable on:
Indices
Stocks
Futures
Intraday & higher-timeframe swing charts
🧠 Why this is NOT a simple indicator mashup
Although Swing Master uses EMA, RSI, Volume, and multi-timeframe context, each component serves a distinct and non-overlapping role.
No indicator is used to confirm itself, and no single condition can trigger a signal independently.
Signals are generated only when all required structural and momentum conditions align together on a confirmed bar, reducing noise and hindsight bias.
🔹 EMA Structure (50 / 100 / 200)
Defines trend hierarchy and market structure
Strictly filters trades in the dominant trend direction
Identifies pullback zones, not breakout points
EMA stacking is used to determine structural bias, not direct entries.
🔹 Pullback-Tolerance Logic (Key Original Component)
Instead of requiring exact EMA touches, the script applies a tolerance-based pullback zone around EMAs.
This allows:
More realistic swing entries
Fewer missed opportunities
Reduced noise compared to rigid EMA rules
This pullback-zone evaluation is custom-designed and central to the indicator’s behavior.
🔹 RSI Momentum Filter
Ensures pullbacks occur with momentum acceptance
Filters entries during weak or exhausted moves
Helps avoid counter-trend traps
RSI is used strictly as a momentum-quality filter, not as a standalone signal.
🔹 Volume Participation Filter
Confirms that price movement has market participation
Filters signals during low-interest or weak-volume phases
Helps avoid false continuation attempts
🚦 Signal Types Explained (Rule-Specific & Non-Repeating)
Each visual signal represents a distinct market condition, not repeated logic.
▸ sb — Swing Buy
Trend-aligned pullback near EMA structure
RSI confirms momentum
Volume confirms participation
▸ FS — Future Sell
Mirror logic of Swing Buy
Appears only in established downtrends
▸ SB / SS — Strong Buy / Strong Sell Zones
Price acceptance above or below all EMAs
Indicates strong directional control
Plotted only on the first bar of zone entry (no repetition)
▸ GB / GS — Golden Buy / Golden Sell
EMA 100 / EMA 200 crossover
Represents a structural trend transition
Appears only on confirmed crossovers
Each signal type follows its own independent rule-set.
📊 Multi-Timeframe Dashboard (Context Only)
The optional dashboard provides:
Trend state across higher timeframes
Top-down market context for directional bias
The dashboard is informational only and does not generate signals.
🔔 Alerts
Alert conditions are available for all signal types.
Alerts trigger only on confirmed candles and are intended to support manual analysis, not automated trading.
🔐 Why Invite-Only & Closed-Source
Swing Master incorporates:
Stateful signal control
Multi-condition validation
Non-repeating signal logic
Custom pullback-zone evaluation
The source code is protected to preserve the internal interaction, sequencing, and state management logic, not to conceal commonly known indicators.
⚠ Disclaimer
This indicator is provided for educational and analytical purposes only.
It does not constitute financial advice and does not guarantee results.
All trading decisions, execution, and risk management remain entirely the user’s responsibility.
Kijun Sen Standard Deviation | QuantLapse SystemsOverview
The Kijun Sen Standard Deviation indicator by QuantLapse Systems is a volatility-aware trend-following framework that combines the structural equilibrium of the Kijun Sen (基準線) with statistically adaptive standard deviation bands.
By anchoring trend detection to market structure and confirming direction through volatility expansion, the indicator delivers a cleaner, more reliable regime classification across varying market conditions.
Rather than reacting to short-term noise, the system focuses on identifying statistically justified trend phases , making it well-suited for disciplined, rule-based trading.
Technical Composition, Calculation, Key Components & Features
📌 Kijun Sen (基準線) – Structural Trend Baseline
Calculated as the midpoint between the highest high and lowest low over a user-defined period.
Represents market equilibrium and structural balance rather than short-term momentum.
Naturally adapts to expanding and contracting price ranges.
Provides a stable baseline for regime detection and volatility validation.
Acts as the anchor for deviation bands and persistent trend-state logic.
Unlike fast or reactive moving averages, the Kijun Sen emphasizes price structure and equilibrium , making it especially effective for higher-quality trend confirmation.
📌 Volatility Adjustment – Standard Deviation Bands
Standard deviation is calculated over a configurable lookback to measure current price dispersion.
Upper and lower envelopes are formed by applying a deviation multiplier to the Kijun Sen.
Band width expands during volatility surges and contracts during consolidation.
Creates proportional, volatility-aware thresholds instead of static offsets.
Visually represents market energy through expanding and compressing channels.
These adaptive bands ensure that trend signals only occur when volatility supports directional movement.
📌 Trend Signal & Regime Calculation
Bullish Trend is confirmed when price closes above the upper deviation band.
Bearish Trend is confirmed when price closes below the lower deviation band.
Once established, the trend state persists until an opposing volatility break occurs.
This persistence reduces whipsaws and improves regime stability.
Trend state is reinforced with color-coded lines, envelopes, and background shading.
This volatility-confirmed persistence model is visible in the chart, where trends remain intact through minor pullbacks and only flip on decisive expansion.
How It Works in Trading
✅ Volatility-Confirmed Trend Detection – Requires expansion beyond deviation bands.
✅ Noise Suppression – Filters low-energy price movement within volatility envelopes.
✅ Regime Persistence – Maintains trend state until statistical invalidation.
✅ Immediate Visual Context – Direction, strength, and transitions are clear at a glance.
Visual Representation
Trend signals are displayed directly on price using both line and background context:
🟢 Green / Teal Kijun & Envelope → Confirmed bullish regime.
🔴 Red / Pink Kijun & Envelope → Confirmed bearish regime.
Semi-transparent band fill visualizes volatility expansion and compression.
Buy and Sell labels appear only on confirmed regime transitions.
The lower panel includes:
Strategy equity curve based on trend exposure.
Buy & Hold equity for performance comparison.
Background regime shading synchronized with trend state.
Features and User Inputs
The Kijun Sen Standard Deviation framework offers a focused yet powerful set of configurable inputs:
Kijun Sen Length – Controls structural trend sensitivity.
Standard Deviation Controls – Adjust lookback length and multiplier for regime strictness.
Backtesting & Date Filters – Define evaluation periods and starting conditions.
Display Options – Toggle labels, equity curves, and background shading.
Color Customization – Fully configurable buy/sell colors for trends and equity curves.
These controls allow users to balance responsiveness, stability, and clarity without overfitting.
Practical Applications
The Kijun Sen Standard Deviation indicator is designed for traders who prioritize structure, volatility confirmation, and regime awareness.
Primary Trend Filtering – Identify and stay aligned with dominant market direction.
Volatility-Aware Trend Following – Participate only when price expansion confirms intent.
Risk-Managed Exposure – Avoid chop during compression and transitional phases.
Systematic Strategy Development – Use as a regime engine or higher-timeframe filter.
Performance Evaluation – Compare trend-following equity against buy-and-hold benchmarks.
This framework bridges classical Ichimoku structure with modern statistical validation.
Conclusion
The Kijun Sen Standard Deviation indicator by QuantLapse Systems represents a refined evolution of Ichimoku-based trend analysis.
By integrating the structural equilibrium of the Kijun Sen with adaptive standard deviation confirmation, the system delivers clearer regime classification, reduced noise, and more reliable trend participation.
Rather than attempting to predict price, it focuses on confirming when trends are statistically justified .
Who should use Kijun Sen Standard Deviation:
📊 Trend-Following Traders – Stay aligned with dominant market structure.
⚡ Momentum & Swing Traders – Enter only on volatility-backed expansions.
🤖 Systematic & Algorithmic Traders – Ideal as a regime filter or trend-state engine.
Past performance is not indicative of future results.
Disclaimer: All trading involves risk, and no indicator can guarantee profitability.
Strategic Advice: Always backtest thoroughly, optimize parameters responsibly, and align settings with your timeframe, asset class, and risk tolerance before live deployment.
ATR Distance from 50 SMA By DanBobDanA simple indicator that measures the distance between current price and the 50 SMA
The average momentum swing trade might run 7 times the ATR before pulling back
Therefore, its recommended to not buy a stock that is beyond 4 times its ATR to the 50 SMA
This script will quickly and easily calculate the 50 SMA to ATR distance for you
Smart MA Zone Crossover [HMA-EMA]Smart MA Zone Crossover is a trend-following indicator designed to capture early momentum shifts using the crossover between Hull Moving Average (HMA) and Exponential Moving Average (EMA).
The indicator visually highlights trend direction using a dynamic colored zone, making it easy to identify bullish and bearish market phases at a glance.
🔸 Step 1: Moving Average Calculation
HMA (Hull Moving Average) → Faster, smoother, reacts quickly to price
EMA (Exponential Moving Average) → Stable trend reference
Both MA lengths are **fully adjustable** from the settings panel.
🔸 Step 2: Trend Detection
Bullish Trend: HMA is above EMA
Bearish Trend: HMA is below EMA
The area between the two averages is filled with color to visually represent the current trend state.
Step 3: Signal Generation (Non-Repainting)
Signals are generated **only on confirmed crossovers**:
✅ BUY Signal- HMA crosses above EMA
❌ SELL Signal-HMA crosses belowEMA
Signals do **not repaint** and appear only once per crossover.
🔸 Step 4: Visual Customization
Users can enable or disable:
* Moving average lines
* Colored MA zone fill
* Buy/Sell arrows
* Buy/Sell text labels
This allows the indicator to remain **minimal or detailed**, depending on user preference.
🔹 Key Features
✔ Non-repainting logic
✔ Clean crossover-based signals
✔ Customizable HMA & EMA lengths
✔ Optional MA zone fill
✔ Buy/Sell arrows & labels
✔ Works on all timeframes
✔ Beginner-friendly & scalper-ready
🔹 Best Use Cases
* Trend confirmation
* Momentum trading
* Scalping & intraday trading
* Swing trend filtering
For best results, combine with:
* Support & resistance
* Volume
* Higher-timeframe trend
🔹 Disclaimer
This indicator is provided for **educational purposes only**.
It is **not financial advice**. Always backtest and use proper risk management before trading live markets.
Credit Spreads Swing TradingCredit Spreads Swing Trading
Summary
Credit Spreads Swing Trading is a decision-support indicator designed to identify higher-probability put credit spread (PCS) and call credit spread (CCS) opportunities using trend alignment, momentum shifts, and volatility-aware structure.
The indicator works on any ticker and any timeframe, and includes multiple built-in ticker presets that automatically adjust internal parameters. While it will generate signals on all charts, the on-chart table displays a recommended context to indicate when the current symbol, timeframe, and session conditions match the optimized configuration.
Core Signal Logic
Signals are generated when multiple conditions align:
Momentum shift-
Identifies directional momentum changes that often precede short-term swing continuation.
Trend confirmation-
Ensures trades align with the prevailing trend and avoids counter-trend entries.
Higher-timeframe bias
Incorporates Daily and 4-Hour EMA structure to bias trades in the dominant market direction.
Relative volume filter-
Confirms participation to reduce low-quality signals during thin or inactive periods.
Cooldown logic
Enforces spacing between signals to prevent clustering and over-trading.
Credit Spread Direction & Structure
PCS (Put Credit Spread) signals are generated in neutral to bullish conditions
CCS (Call Credit Spread) signals are generated in neutral to bearish conditions
When a signal triggers, the script calculates a recommended short strike using recent pivot structure and displays it visually on the chart. This level is intended as a reference point for structuring a credit spread, not as an execution instruction.
On-Chart Table (Informational)
The indicator includes a compact table that displays:
Current signal type (PCS or CCS)
Recommended sell-leg strike
Average spacing between historical signals
How often prior sell-legs were crossed before the next signal (visual reference only)
Recommended context status
The recommended context row indicates whether the chart matches the optimized setup:
1-Hour timeframe
Extended hours enabled
Selected ticker preset matches the chart symbol (unless set to Auto)
This recommendation is informational only. Signals are not blocked when the chart does not match the recommended context.
Ticker Presets & Flexibility
Users can select from multiple built-in ticker presets (or Auto), which adjust internal parameters such as:
Momentum sensitivity
Volatility handling
Trend responsiveness
This allows the indicator to adapt to different instruments while maintaining a consistent signal framework.
Important Notes
This indicator does not place trades and does not include automated backtesting or performance reporting.
All statistics and visual markers are for manual review and contextual analysis only.
Signals are intended for experienced traders who understand options risk, assignment risk, and proper position sizing.
Intended Use
Credit Spreads Swing Trading is intended as a research and decision-support tool for traders who sell option premium and want structured, rules-based signals aligned with trend, momentum, and volume.
It should be used alongside independent analysis and disciplined risk management.
NeuraLine v1Neuraline is a daily market-regime indicator designed to help traders stay aligned with the dominant trend while avoiding noise, false flips, and emotional overtrading.
Instead of reacting to every small move, Neuraline focuses on structural trend confirmation, combining trend strength, regime persistence, and higher-timeframe context into one clean visual layer.
1. Anti-Flip Trend Logic
Neuraline uses a buffered EMA regime system with built-in hysteresis.
This means the indicator does not flip trend on every minor crossover, but only when price confirms a meaningful shift.
Result: fewer false signals, more stability.
2. Market Strength Filter (ADX)
Trend changes are only validated when market strength confirms the move.
This prevents signals during low-volatility, choppy conditions where most indicators fail.
3. Clear Market Regime: Bullish or Bearish
Neuraline always operates in one of two states:
• Bullish regime
• Bearish regime
No confusion. No over-analysis.
Every signal is contextualized within the current regime.
4. Higher-Timeframe Structure via 50 / 200 Moving Averages
The integrated 50 & 200 day moving averages provide long-term market context:
• MA lines automatically adapt their color based on bullish or bearish alignment
• A subtle ribbon highlights the structural zone between them
This makes it instantly clear whether price action is occurring within a healthy trend or against macro structure.
5. Minimal, Emotion-Free Signals
Buy and sell signals are only triggered on confirmed regime transitions, not on every fluctuation. Signals are displayed as clean, non-intrusive icons directly on the chart — no clutter, no noise.
6. Designed for Daily & Swing Traders
Neuraline is optimized for:
• Daily charts
• Swing trading
• Position management
• Market bias confirmation
It is not a scalping tool.
It is a decision-filter.
VCAI Volume LiteVCAI Volume Lite is a clean, modern take on volume analysis designed for traders who want a clearer read on participation without loading multiple indicators.
This Lite edition focuses on the essentials:
real activity vs dead sessions
expansion vs contraction
momentum shifts around breakouts and pullbacks
No hype, no filters, no hidden logic — just a straightforward volume tool rebuilt with the VCAI visual framework.
Use it to quickly spot:
stronger moves backed by genuine participation
weak pushes running on low volume
areas where momentum may stall or accelerate
Part of the VCAI Lite Series.
Swing Trading IndicatorThis script is a swing‑trading dashboard designed for BTC, ETH, S&P 500 (for now). It combines weekly RSI, USDT.D, VIX, moving averages and Fisher Transform into a single visual tool, with background highlights, an on‑chart info table and ready‑made alerts to help you time high‑probability swing entries and manage risk.
1. Overview
The indicator is intended to work on daily timeframe.
Signals are context‑aware: BTC and ETH get USDT.D conditions, SPX gets VIX and EMA‑100 logic, and all non‑ETH symbols can also use Fisher Transform as a mean‑reversion filter.
2. Conditions and background highlights
Each component sets a boolean condition and, when active, paints a background layer:
Weekly RSI condition
True when weekly RSI is below its symbol‑specific threshold.
USDT.D conditions
BTC: triggered when USDT.D is above the user threshold and the chart symbol is BTC.
ETH: same logic for ETH, but tracked separately..
VIX condition (SPX only)
True when VIX high is at or above the VIX threshold while the chart is SPX.
EMA condition (BTC & SPX)
BTC: daily close below EMA‑200.
SPX: daily close below EMA‑100.
Fisher Transform condition (non‑ETH)
Fisher Transform on the chart timeframe, using the configured period.
True when Fisher value is below the Fisher threshold.
3. Intended use and notes
This indicator is designed as a confluence tool for swing traders, not a standalone buy/sell system. It works best on assets that are in a clear uptrend, where the main idea is to accumulate during corrections within that broader bullish structure.
During larger market shocks, deep corrections, or black‑swan events, trend‑based and mean‑reversion filters can produce false signals, because volatility and correlations often behave abnormally in those periods. For that reason, this script should always be combined with independent risk management, higher‑timeframe trend analysis, and your own discretion.
Green to Red Money RailsWhat this indicator does
Green to Red Money Rails (G2R Rails) is a price-action tool that draws dynamic “rails” from recent swing lows and highs. It tracks how support and resistance are shifting so you can see where trend pressure is building or weakening.
Core logic (high level)
Detects pivot lows and stores the last three (L1, L2, L3).
Builds green support “fans”: inner dotted rails L1→L2 and L2→L3, plus a main solid base rail L1→L3.
Detects pivot highs and, when the last high is lower than the previous one, draws a red resistance rail from H2→H3.
Optional labels mark the most recent swing low (“L”) and swing high (“H”).
How to use it
Use the green rails as dynamic support zones for trend-following, pullback entries, or stop placement.
Use the red rail as a visual ceiling in downtrends: breaks above it can signal the end of a sell-off; rejections at it confirm sellers still in control.
Works best on liquid markets and swing-trading timeframes (for example, 1h–1D). Always combine with your own risk management and higher-timeframe context.
This script does not auto-generate signals or manage risk for you; it is a visual framework for reading structure and building your own trading plans.
Structure Breakout - Buy Sell IndicatorStructure Breakout - Buy Sell Indicator
📈 OVERVIEW:
A minimalist indicator that identifies market structure breakouts using swing point analysis.
Displays clear blue buy arrows and red sell arrows when price breaks key swing levels.
🔧 HOW IT WORKS:
1. Identifies swing highs and lows using configurable lookback period
2. Triggers BUY signal (blue arrow) when price closes above previous swing high
3. Triggers SELL signal (red arrow) when price closes below previous swing low
4. Uses clean visual arrows without cluttering the chart
⚙️ KEY FEATURES:
• Clean, uncluttered visual signals
• Customizable sensitivity period
• Blue arrows for buy signals (below bars)
• Red arrows for sell signals (above bars)
• No lagging repainting
• Works on all timeframes
🎯 TRADING APPLICATIONS:
• Swing trading entries
• Breakout confirmation
• Trend continuation signals
• Support/resistance breaks
⚡ SETTINGS:
• Structure Detection Period (default: 20) - Adjust sensitivity of swing detection
⚠️ RISK DISCLAIMER:
This is an educational tool. Always use proper risk management.
Past performance does not guarantee future results.
