Master Weekly Vector Forex Weekly Vector Forex indicator is essentially a combined volume/vector + mitigation + gap + multi-timeframe trend + weekly POC framework. It is designed to answer several different questions on one chart: where unusually strong volume appeared, whether price has returned to those areas, where gaps remain open, where weekly volume concentrated, and how far current price sits above or below important moving averages.
Here is what each part is doing.
1. Vector candles
The foundation is the Traders Reality/PVSRA vector-candle calculation from the imported library.
The candles are separated into four vector types:
Green — major bullish vector
Red — major bearish vector
Blue — secondary bullish vector
Violet — secondary bearish vector
Normal candles remain grey/dark grey.
The point of a vector candle is not simply that price moved strongly. The PVSRA calculation uses volume and candle spread to identify unusually active candles. So you're effectively highlighting areas where activity was substantially different from the surrounding market.
You also have the option to recolor the actual chart candles using those vector colors.
2. Vector shadows / unmitigated vectors
This is one of the main features we built.
When a vector appears, the indicator creates a horizontal zone extending to the right.
So instead of losing sight of an important vector after another 50 or 100 candles appear, its price area remains visible.
Conceptually:
VECTOR
██████────────────────────────────────────────→
price has not returned here
= UNMITIGATED VECTOR
You can define the zone using either:
Body only
or
Body + wick
That gives you control over how strict you want the vector recovery calculation to be.
3. Unmitigated, partially recovered and fully recovered
The indicator tracks the lifecycle of each vector.
An untouched vector remains an unmitigated vector.
If price starts entering the vector area, it becomes partially recovered.
For example:
Vector originally:
████████████████████ 100%
Price returns:
████████░░░░░░░░░░░░
40% recovered
60% left
The indicator can therefore display:
40% REC
60% LEFT
This is useful because there is a large difference between a completely untouched vector and one that has already been 95% mitigated.
4. The shadow actually shrinks
The recovery isn't merely a label.
As price penetrates the vector, the remaining box is adjusted to represent the unrecovered portion.
That means visually you're concentrating on the part of the vector that price has not yet revisited.
Once it reaches 100%, it is considered completely recovered.
5. Fully recovered vectors become green
Once the vector reaches 100% recovery, it stops extending indefinitely.
The completed zone is retained as a historical recovered area and displayed in:
Green with 70% transparency.
You can control how many recently recovered zones remain visible.
For example:
RED/BLUE/VIOLET/GREEN SHADOW → outstanding vector
ORANGE → partially recovered
GREEN 70% transparent → completely recovered
This makes it much easier to distinguish old completed business from outstanding areas.
6. Gap detection
We also kept your gap system.
The indicator searches for price gaps and extends those areas horizontally.
You have separate bullish and bearish gap colors.
The gap remains visible until price fills it.
So you effectively have two different kinds of outstanding areas:
VECTOR ZONES
Volume-driven areas
GAP ZONES
Price discontinuities
They are related concepts but they are deliberately tracked separately.
7. Multi-timeframe SMA dashboard
The table in the upper-right is your broader market-location dashboard.
You currently have:
1H 4H 8H 1D 3D 1W 1M 6M 1Y 2Y 3Y 5Y
SMA 30
SMA 50
SMA 200
For each timeframe, the script calculates how far current price is from that SMA.
TradingView's request.security() evaluates the SMA inside the requested timeframe rather than simply calculating an SMA of duplicated higher-timeframe values. That's the correct architecture for a multi-timeframe SMA calculation.
The calculation is essentially:
Distance=
SMA
CurrentPrice−SMA
×100
Therefore:
+3.20% means price is 3.20% above the moving average.
−3.20% means price is 3.20% below it.
And we made the visual rule very simple:
🟢 Green = above SMA
🔴 Red = below SMA
You don't need additional "bullish" or "bearish" text because the sign and color already communicate it.
8. Important point about the very long SMA columns
There is one distinction you should understand.
The genuine TradingView timeframes are straightforward through:
1H / 4H / 8H / 1D / 3D / 1W / 1M / 6M / 1Y
Pine timeframe strings are defined as a multiplier plus a supported unit, and request.security() uses those timeframe contexts to evaluate the requested expression.
The 2Y / 3Y / 5Y columns in our current version are constructed from annual (12M) data because the direct 24M, 36M, and 60M implementation we initially tried was invalid.
There is also a practical limitation: something such as a true SMA 200 of five-year candles would require an extraordinary amount of historical data.
So I would treat the extreme long-term columns differently from your core 1H–1Y signals.
Your most actionable dashboard is really:
1H → immediate
4H → short-term structure
8H → intermediate
1D → daily
3D → broader swing
1W → macro structure
1M → major macro
6M → very long-term
1Y → structural extreme
9. Weekly POC
Another major component is the weekly Point of Control.
Your script collects price and volume throughout each week and estimates the price bucket that accumulated the most volume.
That becomes the week's POC.
Conceptually:
Price
1.1850 ███
1.1800 █████
1.1750 ███████████████ ← POC
1.1700 ███████
1.1650 ███
The POC is therefore an approximation of the week's highest-volume price area.
One qualification: this is not exchange-level centralized Forex volume profile. Spot FX is decentralized, and your script is constructing the POC from the volume data available through the chart feed.
So I would call it an approximate weekly POC based on TradingView's available volume data, not an absolute global FX POC.
10. Monday defines the week
We designed the weekly structure around:
Monday → start of trading week
with the completed weeks stored backwards:
THIS WEEK
W-1 = last week
W-2 = two weeks ago
W-3 = three weeks ago
...
That makes the historical structure intuitive.
You don't have to calculate dates mentally.
11. Each previous week can have its own color
You specifically wanted to be able to visually separate weeks.
So there are individual settings for:
W-1
W-2
W-3
W-4
...
W-13
You can assign a different color to every one.
This becomes useful when several weekly POCs are relatively close together.
Instead of seeing eight identical horizontal lines, you immediately know which week produced which level.
12. The POC lines are horizontal
We fixed the earlier problem where the current-week drawing was interfering with your most recent candles.
The intended representation is:
──────────────────────────── W-1 POC
not:
|
|
|
|
The whole purpose is to identify a price level, so horizontal representation is appropriate.
13. Current-week POC can start later
You also wanted the current week's developing POC not to interfere with the beginning of the week's chart.
There is therefore a setting:
Display Current Week From
with:
Monday
Tuesday
Wednesday
Thursday
Friday
The default we used was Wednesday.
Historical completed weeks are still retained normally.
This only controls when the developing THIS WEEK POC becomes visible.
14. Weekly POC percentage
Beside the POC, the indicator calculates the distance between current price and that POC.
For example:
W-1 | 17 Aug 2026 | POC 1.16850 | +1.42%
means current price is approximately 1.42% above last week's POC.
A negative result:
-0.83%
means current price is below that POC.
That gives you more information than simply drawing a horizontal line.
15. Label collision protection
This was another important change.
Originally the weekly POC labels and vector recovery labels could overlap.
You could end up with:
W-2 POC 1.16...
48% REC
52% LEF...
on top of each other.
The current system reserves the price locations occupied by vector labels and then searches for a free location for the weekly label.
If it needs to move the weekly label away from its actual POC, it uses a small dotted connector to show which level the label belongs to.
Also:
Vector labels stay closer to price.
Weekly labels are positioned farther to the right.
That separates the two information systems.
16. You can control the amount of information
There are multiple visibility and size controls.
You can independently control things such as:
SMA table on/off
Weekly POC on/off
Current-week POC on/off
Weekly labels on/off
Vector shadows on/off
Partial-recovery percentages on/off
Recovered zones on/off
Gaps on/off
Vector text size
Weekly text size
SMA table text size
Number of historical weeks
Number of recovery labels
Number of recovered vectors retained
That's important because this indicator contains a lot of information. On a 3-minute chart you may want a different visual configuration than on a daily chart.
17. What the indicator is actually telling you
The strongest way to use it is not to treat any single component as an automatic buy/sell signal.
Instead you're building confluence.
Imagine price is approaching an old area and you see:
Unmitigated bearish vector
↓
Previous weekly POC
↓
SMA 200
↓
Weekly structure bearish
That is much more interesting than finding a random red vector.
Likewise:
Old bullish vector partially recovered
+
Major gap
+
W-2 POC
+
Price above 30/50/200 SMA on 4H
+
Price above 30/50 SMA on 1D
Now you're looking at several independent pieces of information around the same price region.
That is where this indicator becomes useful.
The way I'd mentally divide it
Think of Master Weekly Vector Forex as four layers:
Layer What you're asking
Vectors Where did abnormal volume/activity appear?
Recovery + gaps What areas has price not finished revisiting?
Weekly POC Where did weekly volume concentrate?
SMA dashboard Where is price relative to broader trend structure?
The chart itself gives you the location.
The SMA table gives you the multi-timeframe environment.
And the recovery system tells you which historical areas are still outstanding versus already completed.
One technical point to keep in mind: request.security() can include developing/unconfirmed higher-timeframe values on realtime bars depending on how the request is structured, so the current SMA dashboard should be considered live/developing for an unfinished higher-timeframe candle rather than assumed to be a permanently confirmed historical value. TradingView explicitly documents that distinction.
That is the full logic of the indicator as it stands now. インジケーター
Trading Sessions [EDGE]Trading Sessions .
A continental trading-session engine that marks the four global sessions - Pacific, Asia, Europe, USA - in both Forex and Stocks mode, and shows at a glance which session is live, how long until each one opens or closes, and where price sits relative to each session open. Built for intraday traders who structure the day around session opens and want a single, timezone-correct view of the session clock.
How it works:
Every session is defined in the local business hours of its region and detected with an IANA timezone name (Australia/Sydney, Asia/Tokyo, Europe/London, America/New_York), so daylight-saving transitions are resolved automatically - the windows shift with each region's own clock and never need a manual seasonal adjustment. Detection is restricted to Monday through Friday. Two market modes share the same four continental sessions with hours native to each market type: in Forex mode they map to the Sydney, Tokyo, London and New York dealing desks; in Stocks mode they map to the region's anchor cash market - ASX Sydney (Pacific), a combined Tokyo/Hong Kong window (Asia), LSE London (Europe) and NYSE/Nasdaq (USA).
For each active session the script tracks a live high and low, drawing a range box that updates every bar and a horizontal line at the session open. The dashboard reads live clock time in each session's own timezone, so its open and close countdowns stay correct through every daylight-saving change, and it reports each session open price together with the current price's signed percent distance from it. All context is anchored to price - session boxes and open lines - plus the dashboard; there is no background shading.
What it calculates:
- Session state - which continental sessions are open right now, marked with a dot and a session-colored row in the dashboard
- Countdown - time until each session opens (when closed) or closes (when running), in the session's own timezone
- Session range box - the live high-to-low band of each session, kept on the chart as a prior-session reference
- Session open price - the price at which each session opened, shown in the dashboard
- Open Δ% - the current price change from the session open as a signed percent, green above the open and red below
- Session open line - a horizontal level at each session open, a widely watched institutional reference for retests
- Europe/USA overlap flag (Forex) - a dashboard note during the four-hour overlap, the deepest liquidity window of the day
Key features:
- Two market modes - Forex and Stocks - selectable from a single input, each with its own native session hours
- Four continental sessions - Pacific, Asia, Europe, USA - with per-session visibility toggles and editable hours
- Automatic daylight-saving handling through IANA timezones; no manual seasonal switching
- Combined Asia stock session spanning Tokyo and Hong Kong as one continuous window
- Live dashboard with active-session highlighting, per-session open/close countdowns, session open price and the signed percent change from it, with configurable position and text size
- Session range boxes and session open price lines, both fully colorable, with a configurable history depth to limit chart clutter
- Alerts for every session open and close, plus the Europe/USA overlap start
- Intraday-only operation with a clear on-panel notice on daily and higher timeframes
Who it's for:
Intraday and short-horizon traders who structure the day around session opens - Asia-range and London-breakout players, New York-open traders, and index or futures traders who track the Pacific-to-USA handover. The tool answers the questions that matter at the open: which session is driving price now, how long until the next one turns over, and how far price has travelled from each session open - a clean, timezone-correct session clock without the visual noise of overlapping session tools. インジケーター
EMA/SMA Classics V1.0 by SRTEMA/SMA Classics V1.0 by SRT
The EMA/SMA Classics indicator was designed to answer one simple question:
"Which side of the market currently has the structural advantage?"
Instead of flooding the chart with buy and sell arrows, this indicator focuses on market structure, trend alignment, and high-quality price action, allowing traders to make their own execution decisions with greater confidence.
Whether you trade Forex, Indices, Commodities or Crypto, this indicator combines multiple market concepts into a clean workflow while remaining highly configurable through both EMA and SMA combinations.
What This Indicator Includes
• Flexible EMA / SMA Engine
Unlike traditional moving average indicators that are locked to one MA type, every moving average in this indicator can independently be configured as either:
EMA
SMA
Default settings:
MA 1 : 7
MA 2 : 40
MA 3 : 150
MA 4 : 200
You may use the default configuration or customise the periods to fit your own trading methodology.
• Dynamic Moving Average Stack Detection
The indicator continuously evaluates whether the visible moving averages are properly stacked.
Bullish Stack
Fast MA > Medium MA > Slow MA
Bearish Stack
Fast MA < Medium MA < Slow MA
When the moving averages lose their proper order, the market is treated as neutral instead of forcing a directional bias.
This helps reduce many false trend signals that occur during consolidations.
• ATR-Based MA Spacing Filter
One common problem with MA strategies is entering when all moving averages have already compressed together.
This indicator measures the spacing between moving averages using ATR.
When the moving averages become too compressed, trend quality deteriorates.
The spacing filter helps identify these lower-quality environments before momentum fully develops.
• Ladder Structure
One of the core concepts inside this indicator is the Ladder System.
Instead of only observing moving averages, the indicator also evaluates the market using multiple dynamic support and resistance structures.
Resistance
R9
R40
R70
R100
R150
Support
S9
S40
S70
S100
S150
These levels automatically update with market structure and are used to generate an additional Ladder Bias.
When both the moving averages and Ladder Bias agree, market structure is generally stronger than relying on moving averages alone.
• Flush Dot System
The indicator displays visual Flush Dots beneath or above candles whenever trend alignment exists.
Small Green Dot
Bullish MA alignment.
Small Red Dot
Bearish MA alignment.
Large Green Dot
Moving Average alignment + Bullish Ladder confirmation.
Large Red Dot
Moving Average alignment + Bearish Ladder confirmation.
The larger dots represent stronger structural agreement across multiple components.
• KeyBar Detection
The indicator automatically identifies two important price action patterns.
Engulfing Bars
Bullish Engulfing (EBull)
Bearish Engulfing (EBear)
These are filtered using ATR and minimum body size to avoid insignificant candles.
Long Tail Bars (LTB)
Bullish Long Tail Bars
Bearish Long Tail Bars
These identify strong rejection candles with defined tail proportions and body positioning.
An optional body-size filter is also available for traders wanting stricter candle selection.
Daily Pivot (DP)
Automatically plots the previous day's pivot.
Useful as:
Dynamic support
Dynamic resistance
Intraday reaction level
Weekly Pivot (WP)
Automatically plots the previous week's pivot.
Many swing traders use weekly pivots as major reaction zones throughout the trading week.
RSI Momentum Alerts
The indicator includes two independent RSI event types.
RSI Breakout
Signals when RSI breaks into extreme momentum territory.
Bullish breakout
Bearish breakout
RSI Retracement
Designed to identify momentum continuation after RSI exits an extreme condition while confirming with the RSI Moving Average.
These alerts can be useful for traders looking to participate after momentum has begun to recover instead of chasing extremes.
Information Panel
A compact table summarises the current market condition.
Displays:
Moving Average Bias
Ladder Bias
Long Tail Bar presence
This provides a quick snapshot without needing to inspect every component individually.
How To Use This Indicator
This indicator is not designed to generate automatic Buy or Sell signals.
Instead, it acts as a Market Context Indicator.
A typical workflow may look like this:
Step 1
Observe whether the moving averages are properly stacked.
A clean stack generally indicates directional order.
Step 2
Check whether the Ladder Bias agrees with the moving averages.
When both align, the market structure is generally stronger.
Step 3
Watch for KeyBars.
Examples include:
Bullish Engulfing
Bearish Engulfing
Bullish Long Tail Bar
Bearish Long Tail Bar
These often represent meaningful reactions within the prevailing structure.
Step 4
Use Daily Pivot and Weekly Pivot as areas where price may react.
These levels should be considered areas of interest rather than guaranteed reversal zones.
Step 5
Monitor RSI alerts for momentum shifts.
Momentum signals are generally more useful when they occur in the same direction as the prevailing market structure.
Suitable Timeframes
Although the indicator can be applied to multiple chart intervals, it generally performs best on:
M15
M30
H1
H4
Daily
The moving averages, Ladder System, and KeyBar detection adapt naturally across different timeframes.
Difference Between EMA/SMA Classics & H1 EMA/SMA + Higher Timeframe Analysis (Classic)
Although both indicators belong to the same ecosystem, they serve different purposes.
EMA/SMA Classics
Designed as a general-purpose structural trend indicator.
Features include:
Flexible EMA/SMA stacking
Ladder System
Flush Dots
Engulfing Bars
Long Tail Bars
Daily Pivot
Weekly Pivot
RSI Alerts
It can be used on virtually any timeframe and is ideal for traders who prefer to analyse the chart directly.
H1 EMA/SMA + Higher Timeframe Analysis (Classic)
The H1 version is a significantly more advanced market context engine.
In addition to everything above, it introduces:
Dedicated H1 Bias Engine
H4 Trend Analysis
Daily Trend Analysis
Higher Timeframe Bias Aggregation
H1TF Composite Bias
Overall Market Verdict Engine
Multi-layer Bias Table
Higher Timeframe Confirmation Workflow
Rather than focusing solely on the current chart, the H1 version continuously evaluates whether multiple timeframes are aligned before presenting an overall market verdict.
If the EMA/SMA Classics indicator answers:
"What is my current chart doing?"
Then the H1 version answers:
"What is the broader market structure telling me across multiple timeframes?"
The two indicators are complementary and can be used together depending on your preferred trading workflow.
Disclaimer
This indicator is designed to assist with market structure analysis and decision-making. It does not provide financial advice or guarantee profitable trades. Always combine indicator signals with sound risk management, personal analysis, and appropriate position sizing. インジケーター
H1 EMA/SMA + Higher Timeframe Analysis (Classic) V1.0 by SRT# H1 EMA/SMA + Higher Timeframe Analysis (Classic) V1.0 by SRT
## Overview
H1 EMA/SMA + Higher Timeframe Analysis (Classic) V1.0 by SRT is a complete market context indicator designed to help traders read trend, structure and execution quality from a single chart.
Instead of relying on one indicator alone, this script combines multiple layers of market information into one unified framework:
• H1 Moving Average Bias Engine
• Higher Timeframe (H4 & Daily) Trend Confirmation
• Ladder Market Structure Analysis
• Dynamic Daily & Weekly Pivot Levels
• VWAP Bias Filter
• Engulfing & Long Tail Bar (LTB) Detection
• RSI Breakout & Retracement Alerts
• Composite Bias Dashboard
• Smart Alert System
The objective is simple:
Reduce subjectivity by helping traders identify when multiple independent factors agree before looking for trade opportunities.
This indicator is designed for traders who prefer trading with trend and market structure rather than relying on a single crossover or oscillator.
---
## Main Features
### ① H1 Bias Engine
The H1 Bias Engine evaluates the alignment of up to four configurable EMA/SMA lines.
Unlike traditional MA crossover indicators, this engine considers:
• Moving average order
• Price position relative to the moving averages
• MA spacing quality
• Trend strength
Bias is classified into:
• Strong Bullish
• Bullish
• Neutral
• Bearish
• Strong Bearish
An ATR-based spacing filter automatically ignores signals when moving averages become compressed, helping reduce false trend readings during consolidation.
---
### ② Higher Timeframe Bias
The script automatically evaluates both:
• H4 Trend
• Daily Trend
using a dedicated EMA40 / EMA150 / SMA200 structure.
These two higher timeframes are combined into a Higher Timeframe (HTF) Bias.
This allows traders to quickly determine whether H1 signals are aligned with the broader market direction.
---
### ③ Ladder Market Structure
The Ladder System measures how support and resistance levels evolve over multiple lookback windows.
Support Levels
S9
S40
S70
S100
S150
Resistance Levels
R9
R40
R70
R100
R150
The relative positioning of these levels produces a Ladder Bias ranging from:
Strong Bullish
Bullish
Neutral
Bearish
Strong Bearish
This provides an additional market structure confirmation independent of moving averages.
---
### ④ Composite H1TF Bias
One of the core components of the indicator.
H1TF combines:
• H1 Moving Average Bias
• Ladder Bias
to generate a stronger consensus trend.
Rather than reacting to a single condition, H1TF requires agreement between trend and structure before producing stronger directional confidence.
---
### ⑤ Final Verdict Engine
The Final Verdict combines:
Higher Timeframe Bias
*
H1TF Composite Bias
Only when both higher timeframe trend and H1 composite trend strongly agree will the dashboard produce:
Strong Bullish
or
Strong Bearish
This helps traders focus on higher probability market conditions instead of reacting to every market fluctuation.
---
### ⑥ Key Bar Detection
The indicator automatically detects two important price action patterns.
Bullish / Bearish Engulfing Bars
Long Tail Bars (LTB)
Each signal includes:
ATR size validation
Minimum body filters
Tail quality checks
Momentum confirmation
These are designed to highlight significant candles instead of every basic engulfing or pin bar.
---
### ⑦ Daily & Weekly Pivot Levels
Built-in pivot calculations include:
Daily Pivot (DP)
Weekly Pivot (WP)
These levels provide additional context for potential support, resistance and reaction zones.
---
### ⑧ VWAP Bias
The indicator includes a built-in VWAP filter.
Price above VWAP
Bullish
Price below VWAP
Bearish
This offers another layer of institutional-style market context that complements the moving average analysis.
---
### ⑨ RSI Momentum Alerts
Four RSI-based alerts are included.
Bullish RSI Breakout
Bearish RSI Breakout
Bullish RSI Retracement
Bearish RSI Retracement
These alerts are designed to identify momentum expansion as well as potential continuation opportunities after retracements.
---
### ⑩ Smart Alert System
The alert engine supports multiple event types.
H1 Bias changes
Higher Timeframe Bias changes
H1TF Composite changes
Ladder Bias changes
Bullish Engulfing
Bearish Engulfing
Bullish Long Tail Bar
Bearish Long Tail Bar
Optional filters allow alerts to trigger only when aligned with:
H1TF
Higher Timeframe
Strong Bias only
This helps reduce unnecessary alert noise.
---
## Reading the Bias Dashboard
The dashboard summarizes the complete market picture.
Daily
Daily Trend
H4
H4 Trend
HTF
Combined Higher Timeframe Trend
H1
Current H1 Moving Average Bias
Ladder
Market Structure Bias
H1TF
Combined H1 Trend
VWAP
Current VWAP Position
Verdict
Final Consensus
The strongest trading environments generally occur when multiple components point in the same direction.
---
## Typical Workflow
A simple workflow may look like this:
1. Check the Final Verdict.
2. Confirm H1TF agrees with the Higher Timeframe.
3. Observe whether VWAP supports the direction.
4. Wait for a qualifying Engulfing Bar or Long Tail Bar.
5. Use Daily Pivot, Weekly Pivot and Ladder levels for trade management.
This approach encourages waiting for confluence rather than entering solely because one indicator changes direction.
---
## Notes
This indicator is intended as a market context and decision-support tool.
It does not predict future prices and should not be considered a standalone trading system.
Like any technical tool, it performs best when combined with sound risk management, proper trade planning and disciplined execution.
---
Thank you for using H1 EMA/SMA + Higher Timeframe Analysis (Classic) V1.0 by SRT
I hope this indicator helps simplify chart analysis and encourages traders to focus on market structure, trend alignment and disciplined decision making.
— SRT
インジケーター
DTC AIO [US] Why this is one tool, not a bundle of indicators
A stock's chart alone cannot tell you whether it is a genuine market leader. A rising 50-day average looks the same whether the earnings behind it are accelerating or shrinking; a strong-looking breakout looks the same whether the whole sector is moving or just that one ticker. Answering "is this a leader worth trading" requires checking several unrelated data sources against each other at the same time — the company's actual earnings, its price behavior relative to the market, how it behaves specifically when the market is under stress, and how it stacks up against the handful of stocks that compete with it. None of those four checks alone is reliable; a stock can look strong on any one of them and still not be a real leader. This script exists because doing that cross-check by hand — pulling up earnings, then flipping to a relative-strength chart, then manually building a peer watchlist — is slow and easy to skip. It runs all four checks against the same symbol on the same chart, automatically, and only then hands you the price-structure tools (moving averages, an anchored VWAP, pattern markers) needed to time an entry once that leadership case is actually made. The scoring engines are the reason this script exists; the timing tools are there so you are not forced to add three more indicators once you have your answer.
The four leadership checks
- Earnings engine. Quarterly or annual earnings and sales are pulled from TradingView's financial data and laid out in a MarketSmith-style grid: the primary metric (earnings per share, or net income if you prefer), its year-over-year percentage change, sales, and the sales percentage change, with optional gross-margin and return-on-equity rows. Year-over-year is measured against the same period one year earlier so seasonal businesses compare fairly. A year-over-year change measured off a negative prior-year base is flagged with a "#", the standard convention for marking a percentage that would otherwise be misleading (e.g. earnings improving from -$1.00 to -$0.10 is not really a "-90%" move).
- Relative strength versus the market. A relative-strength line is built by dividing the stock's price by a benchmark's price (SPY by default), then scaling that ratio so it plots alongside the stock's own price. A one-year percentile rank of that ratio produces a 1-99 "RS Rating" — this is the same underlying idea used by IBD's RS Rating (how a stock's performance ranks against the rest of the market over the past year), calculated independently here from price data rather than licensed from any provider.
- Relative strength during stress ("Panic RS"). This checks something the plain RS line does not: whether the stock is holding above its own short-term average on days when the benchmark itself is below its own short-term average — in other words, is this stock outperforming specifically while the broad market is under pressure. That is a materially different (and rarer) signal than simply outperforming during a rally, and it is flagged with its own marker.
- Burst score (volatility regime). Instead of a single volatility number like ATR, this counts how many days over a chosen lookback (3 months to 3 years) closed up 5%, 10% and 17% or more, then combines those three counts into one score. A stock that regularly produces large up-days behaves very differently from one that grinds slowly upward even if their average volatility looks similar, and that difference is often visible in this count before it shows up in a standard momentum indicator.
- Automatic peer comparison. The stock's industry (or sector, as a fallback) is matched against a built-in map of roughly 60 US industry groups, each with a curated list of representative peer tickers, and a comparison table is built automatically from that group — day, 1-month and 3-month return, relative volume, and an RS column for each peer, with the current symbol pinned at the top. The RS column ranks each peer's 3-month return against the OTHER peers actually shown in the table (a 0-100 scale, highest = strongest of the group) — a peer-group-relative read, deliberately not the same 1-year-vs-market calculation the main RS Rating uses, since ranking a handful of direct competitors against each other is the more useful comparison in a table built specifically to check group leadership. You are not expected to build or maintain your own watchlist of comparable stocks; the peer set is derived from the symbol you already have on the chart.
Timing tools (used once the leadership case is made, not standalone)
- Four configurable moving averages (simple, exponential or weighted; independent length, color and width) for the standard support/trend read.
- An anchored VWAP measured from the most recent all-time high forward, giving a volume-weighted "fair value" line for the current up-leg rather than an arbitrary fixed lookback.
- Average daily range percentage and relative volume, so a breakout can be judged against the stock's own normal range and normal volume rather than an absolute number.
- Pattern markers: inside bars, a simplified pocket-pivot flag (an up day of 5%+ on above-threshold volume), the lowest-volume day over a lookback (often precedes a move), "three weeks tight" closes (three consecutive weekly closes within a volatility-scaled band of each other, an IBD base-tightening pattern), and swing high/low pivot labels with optional percentage change between them.
Compact dashboard
A small, repositionable table (top-right by default) puts the numbers behind the leadership read in one place: RS Rating, relative volume, average daily range %, 3-month return, the burst score, and float %. A stretched average daily range (7% or more) or an already-extended 3-month return (80% or more) is flagged in red with a ⚠ marker as a "this has probably already moved a lot" caution. Market cap, free float, and average dollar volume are available as the earnings table's configurable top-left header cell instead of a separate panel, so they sit next to the earnings grid they help contextualize.
How to use it
1. Add it to a daily chart of a US stock.
2. Check the earnings grid and the RS line/rating first: you want rising year-over-year earnings and sales together with relative strength making new highs against the benchmark.
3. Check whether the Panic RS markers and burst score are present — that tells you whether the leadership is showing up specifically during market weakness, and whether the stock has the range profile of an actual leader rather than a slow grinder.
4. Check the peer table to confirm the stock is leading its own group, not just riding the index up.
5. Once those four checks line up, use the moving-average stack, the anchored VWAP and the pattern markers to time an entry near support, sizing with the daily-range and relative-volume readings.
6. Every block has its own on/off toggle, so the dashboard can be reduced to only the checks you personally use.
Notes
- Earnings, sales, margin, return on equity, and the market-cap/float figures come from TradingView's financial data and are only as complete as that data is for a given symbol; missing values show a dash rather than a misleading zero.
- Defaults assume US equities on a daily timeframe with a broad-market benchmark; the script will run on other markets and timeframes, but those defaults are US-equity-specific and not tuned for anything else.
- Tables and colors adapt automatically to a light or dark chart background.
- Open-source. Every input has a plain-language label and tooltip, so reading Pine is not required to use it.
- For educational and informational purposes only. Not financial advice.
インジケーター
Correlation Matrix [AFD]Correlation Matrix turns the active chart into a one-to-many cross-asset relationship monitor. It compares the chart symbol with up to eight instruments and brings slower and faster return correlation, fitted return sensitivity, matched spread distance, pair-specific correlation history, and data availability into one dashboard.
It is designed to answer practical research questions: Which selected markets have been moving with or against the chart symbol? Has recent co-movement departed from the slower relationship? How sensitive has the chart symbol been to each comparison? Is the matched spread unusually displaced for that pair? Is the reading supported by enough shared observations to interpret responsibly?
Built-in Symbol sets and Measurement presets provide repeatable samples. A Measurement preset selects a requested timeframe and Long/Short windows; it never changes the chart candles or requires a matching chart timeframe. Custom can follow the chart or request a fixed measurement timeframe. Optional rebased lines use a separate visual baseline. All outputs are descriptive measurements, not automated decisions.
What It Is Useful For
Cross-asset mapping: Place an index, sector, currency, commodity, rate-sensitive instrument, volatility index, or digital asset on the chart and compare it with a preset universe or a Custom basket. This helps organize intermarket context around one common reference symbol.
Relationship-change monitoring: Treat Long Correlation as the slower context sample and Short Correlation as the faster sample. Correlation Difference shows how far the faster coefficient sits above or below the slower one, while the two coefficients preserve their direction and sign. It is a comparison of two estimates, not a formal regime or significance test.
Benchmark and proxy research: Compare correlation with Beta to separate consistency of co-movement from fitted magnitude of response. This can help screen which selected benchmark, sector, or macro proxy has historically had the closest relationship to the chart symbol. It is not factor attribution.
Candidate-hedge research: Screen for relationships that have been negative across the selected windows, then use Beta and Data Coverage as sensitivity and sample context. The output can narrow further research; it does not select a hedge, calculate contract quantities, or account for liquidity, basis, carry, costs, or portfolio constraints.
Relative-value triage: Use Spread to identify a matched relationship that is unusually displaced from its own Long-window average, then use correlation, History, and usable-sample counts to judge whether the observation deserves investigation. Spread is not a cointegration test, regression residual, stationarity test, or mean-reversion forecast.
Exposure-overlap review: Chart one holding at a time against a Custom basket to identify potentially redundant co-movement or sensitivity. This is useful for screening concentration questions, but it is not a portfolio covariance engine or risk model.
Sample-integrity review: Read Data Coverage and the usable Long/Short return counts before interpreting a coefficient, especially across different sessions, holidays, young listings, or sparse feeds. These are availability disclosures, not confidence or quality scores.
Event and baseline comparison: Rebase percentage paths from Session Open, Rolling N Bars, Year Open, or a Fixed Date to inspect divergence after a session boundary, calendar reset, or chosen event. These chart lines are visual comparisons and never feed the statistics.
Capabilities
Eight configurable comparison slots. In Custom mode, each slot has a symbol, optional display name, color, Enabled switch, and Show comparison line switch. Blank slots remain hidden; an invalid or unavailable symbol displays No data without stopping valid rows.
Five built-in Symbol sets: United States Indices, Risk On / Off, Major Foreign Exchange Pairs, Energy & Metals, and Crypto. Custom values are retained while a set temporarily supplies eight symbols and ticker-derived names. Risk On / Off supplies comparison instruments; it does not classify the market.
Three Measurement presets plus Custom: Scalper requests 1 minute with Long 60 / Short 15; default Intraday requests 5 minutes with Long 78 / Short 20; Swing requests 1 day with Long 120 / Short 20. Swing on a 30-minute chart is an intended configuration, not an error: chart candles remain 30 minutes while completed 1-day observations drive measurements. Custom exposes the timeframe and both windows.
Long Correlation, Short Correlation, Main Correlation, Correlation Difference, Long-window Beta, signed Spread z-score, optional History percentile, and Data Coverage. Tooltips disclose usable Long/Short returns and fresh-versus-eligible coverage counts.
Contextual hover help on every dashboard heading and cell. It explains metric definitions, sample requirements, and unavailable states, with additional detail for Beta direction and fitted sensitivity, active Spread form and position, History's prior range and average, and Data Coverage endpoint counts.
Context, Compact, Full, Minimal, and Custom dashboard views; an independent Correlation Difference switch; custom column overrides; nine table positions; slot, absolute Long Correlation, or absolute Spread sorting; and Heat or Mono cells.
Optional rebased comparison lines with Auto from measurement preset, Session Open, Rolling N Bars, Year Open, and Fixed Date baselines. Seven appearances, a shared baseline marker, configurable line-end labels, and one-slot gap shading are included.
Separate dashboard and comparison-line visibility switches. Measurements continue while either visual layer is hidden. Status text identifies chart and effective measurement timeframes; its tooltip also identifies the requested timeframe, completed higher-timeframe sampling, lower-timeframe fallback, active windows, adjusted Short window, and visual line baseline.
Dashboard text, colors, backgrounds, transparency, alternating rows, borders, frame, line width/transparency, marker styling, label styling, gap colors, and a global master-opacity control can be adjusted without changing measurements.
How the Statistics Work
Correlation is computed on log returns, never on raw price levels. Correlating two trending price series directly can produce a spuriously high reading that reflects their shared trend rather than how their returns move together.
Pearson correlation has no universal market timeframe or lookback. The effective measurement timeframe and window define the observations. A 120-bar window with 1-minute measurements and the same window with 5-minute measurements are different samples and can produce different coefficients.
Correlation runs from +100% through 0% to -100%. It standardizes direction and consistency of linear co-movement; it does not imply equal-sized returns. Correlation Difference is computed as Short minus Long and displayed as a rounded signed number in percentage points.
Beta uses Long-window matched returns and direct covariance/comparison-return variance. From the chart symbol's perspective, Beta +1.20 describes a fitted 1.20-unit chart-symbol log-return response per 1.00 unit of comparison-symbol return in that sample. It is directional and asymmetric, and is benchmark beta only when the comparison is the intended benchmark.
Spread is a signed population z-score of an equal-weight matched log spread. Non-negative Long Correlation selects log(chart) minus log(comparison); negative Long Correlation selects log(chart) plus log(comparison). Separate histories are maintained for the ratio and product forms. The tooltip identifies the active form and whether the latest spread is above or below its matched Long-window average.
When the chart symbol is selected as its own comparison under the same request context, the ratio log-spread has zero variation. Its z-score is therefore unavailable rather than 0.0; after warm-up, identical requested data with measurable return variation produce +100% correlation, zero Difference, and Beta 1.
History ranks the current Main Correlation against only that pair's prior valid Main Correlation readings in the Historical window. A tie-aware midrank makes an all-tie sample read 50/100. It describes relative position inside the pair's own history, not statistical confidence or a forecast.
Data Coverage is fresh comparison endpoints divided by eligible Long-window measurement positions after the comparison first appears in loaded data. A carried timestamp is not counted twice. Coverage is distinct from the usable matched returns reported in the tooltips and does not alter any statistic.
Shared-Endpoint Alignment and Confirmation
At each chart-base measurement observation, the script selects the latest completed comparison endpoint known by that base close and maps it to the nearer current or preceding base close; a tie remains on the current close. A return pair is created only between consecutive accepted endpoint pairs when both base and comparison timestamps strictly advance.
Missing bars, holidays, and session gaps accumulate both instruments from the same prior shared endpoint instead of pairing different elapsed intervals. The accumulated interval remains one observation; it is not duration-normalized or split into synthetic bars. An unmatched observation writes one unavailable window position. A star marks a latest fresh comparison endpoint mapped to the preceding base close.
A complete configured measurement window, at least three usable returns, and measurable variation are required before Pearson is shown. Beta requires measurable comparison-return variance. Blank results are intentional when these conditions are not met.
Equal-timeframe requests use lookahead off and statistical snapshots commit on chart confirmation. Fixed higher measurement timeframes use completed bars: every requested price and timestamp field is offset by one measurement bar before lookahead is enabled. The chart timeframe does not need to match. A requested measurement timeframe below the chart falls back to the chart timeframe and produces an amber warning.
The chart-base request retains the active chart's complete ticker context. A slot set to the chart symbol reuses that exact context; other nonblank comparisons inherit applicable session, price-adjustment, currency, and futures modifiers. TradingView ignores modifiers that do not apply to a comparison instrument. Changing an applicable modifier can change requested prices, timestamps, measurements, coverage, and rebased lines.
The comparison lines are a ratio, not a 1:1 price overlay
The optional chart lines do not plot the other symbol's raw price or its correlation. Each line is tied to the chart symbol's measurement-timeframe price, then moved forward by the percentage change of the compared symbol from that line baseline:
That is a ratio calculation, not a 1:1 mirror of price. Every drawn line uses the same baseline rule when measurement data is available, so its percentage path shares the chart's scale regardless of what either instrument costs.
Comparison line starting point is visual only. Auto from measurement preset uses Session Open for Scalper, Intraday, and Custom, and Year Open for Swing. Fixed Date sets the first base boundary on or after the date. Rolling N Bars moves the shared boundary. Each comparison waits for fresh eligible data, so a line can begin after the marker, remain blank, or jump as a rolling window changes. No line setting changes any dashboard measurement.
Settings
Quick Setup: Measurement preset selects timeframe and Long/Short windows without changing or requiring a matching chart. Dashboard view and Show correlation difference control columns. Symbol set controls the universe. Show dashboard and Show comparison lines control visual layers. Comparison line starting point controls rebased visuals.
Symbols and slots: Custom is the default Symbol set. On an SPY chart, the starting Custom symbols are QQQ, DIA, and IWM; the remaining slots are blank. These are examples, not recommendations. A blank display name derives the ticker automatically. Built-in sets override retained Custom symbols and names until Custom is selected again.
Custom measurements: Blank Custom timeframe follows the chart; a fixed selection at or above the chart holds its requested sampling without changing candles. Long defaults to 120 (range 10-1000); Short to 20 (range 5-200). If Short is not below Long, effective Short becomes Long minus one and appears in amber. Long changes Long, Difference, Beta, Spread, and Coverage; Short changes Short and Difference.
Main Correlation and History: Main correlation window defaults to Short and selects the existing Long or Short result used by Main Correlation, History, and line-end correlation text. Historical comparison defaults off. Its window defaults to 750 and accepts 100-5000 effective measurement positions; History remains blank until the full measurement window exists.
Dashboard views and columns: Default Context shows Symbol, Long, Short, Spread, and Coverage; Compact shows Symbol, Short, and Spread; Full shows Symbol, Long, Short, Beta, Spread, Coverage, and enabled History; Minimal shows Symbol and Main; Custom uses individual metric switches. Custom columns can override any view. Difference is independently on by default.
Dashboard layout: Nine positions default to Top Right. Sorting uses Slot order, strongest absolute Long, or widest absolute Spread. Cells use Heat or Mono. Text, colors, backgrounds, transparency, row shading, borders, and frame are adjustable.
Comparison line style: Solid is the default; Dashed, Dotted, Step, Step with diamonds, Points, and Crosses are available. Width defaults to 2 and transparency to 50. Area, histogram, and column modes are intentionally excluded because they can obscure candles or distort the price scale.
Starting-point details: Rolling N Bars defaults to 120 and accepts 10-1000 effective measurement bars. Each line waits for its first fresh valid endpoint at or after the shared rolling boundary. Fixed Date is editable and defaults to 1 January 2026. The optional shared marker has style, color, transparency, and width controls.
Gap shading and labels: Gap shading can fill between chart price and one selected rebased slot with separate chart-above/chart-below colors and transparency. Line-end labels can include display name, Main Correlation, and Spread, with size and slot/custom text-color controls.
Global appearance: Master opacity adds fade to table cells/text, lines, marker, fill, and labels; table border and frame keep their own colors. Appearance, visibility, ordering, and baseline controls do not alter calculations.
What It Does Not Do / Limitations
This is a one-to-many dashboard: every row compares one instrument with the active chart symbol. It is not a full pairwise matrix among all eight comparisons, a covariance matrix, portfolio optimizer, factor model, value-at-risk calculation, or position-sizing engine.
Correlation measures a historical linear relationship in returns. It does not establish causation, forecast persistence, detect nonlinear dependence, or label a pair bullish or bearish.
Correlation Difference is not a hypothesis test or statistical regime detector. The indicator does not calculate p-values, confidence intervals, statistical significance, or multiple-comparison adjustments.
Beta is a backward-looking fitted sensitivity with the chart symbol as the dependent return series. It is not symmetric and is not a dollar-, volatility-, or contract-neutral hedge ratio.
Spread is an equal-weight log ratio/product z-score selected by the sign of Long Correlation. It does not establish cointegration, stationarity, fair value, or an expectation of mean reversion.
History percentile and its Low-to-High context bands are relative only to that pair's prior Main Correlation. They are not confidence levels, relationship grades, decision rules, or forecasts.
Data Coverage measures fresh endpoint availability, not data accuracy, sample quality, or statistical reliability. Markets with different sessions can supply fewer usable returns, and an interval accumulated across a gap remains one observation.
Results depend on TradingView's feed, exchange and session coverage, loaded history, selected symbols, applicable chart modifiers, effective measurement timeframe, and window lengths. Changing session, price adjustment, currency conversion, supported futures settings, or other applicable data settings can change the values.
The indicator requires standard, time-based candles. Non-standard chart types and tick charts halt with a runtime message because the measurement contract requires ordinary time-based OHLC bars rather than synthetic or tick-built observations.
Blank Custom timeframe follows the chart. Built-in presets and fixed Custom timeframes do not require a chart match. A request below the chart falls back to the chart timeframe; a fixed higher timeframe excludes the developing measurement bar and can update up to one confirming chart bar later.
Blank cells indicate insufficient measurement history, matched returns, or variation. A line can begin after its marker or remain blank when no fresh baseline observation exists. Rebased lines can stretch autoscale, and Rolling N Bars can jump as its denominator moves.
The implementation keeps eight static comparison requests plus one chart-base request. Disabling a slot changes the display but does not remove its request or reduce the fixed request cost.
This measurement-only build does not generate alerts, classify relationships, automate decisions, execute orders, or provide position- or risk-management instructions.
Design and Originality
Pearson correlation, covariance, Beta, and z-scores are standard statistics. This implementation integrates an eight-instrument universe, independent measurement and visual baselines, two return windows, causal shared-endpoint matching, sample disclosures, direct Beta, separate ratio/product spread histories, prior-only tie-aware History, sortable views, and fresh-boundary rebased lines.
The components share one confirmed measurement clock and interpretation surface. They combine slower/faster relationship context, fitted sensitivity, availability, spread displacement, pair history, and normalized paths without importing an external correlation series or creating a classification state.
Open-source License
This is an open-source publication. The source is licensed under the Mozilla Public License 2.0 (MPL 2.0) and includes AuctionFoundry attribution. Reuse in another TradingView publication must first satisfy TradingView's open-source reuse rules; once those rules are met, the MPL 2.0 terms apply.
Disclaimer
For educational and informational purposes only. Not financial advice. インジケーター
Pressure Fatigue Index [PFI] v3Pressure Fatigue Index (PFI)
OVERVIEW
The Pressure Fatigue Index is a bounded oscillator that reads from 0 to 100. Low readings mean oversold and high readings mean overbought, the same orientation you already know from RSI. That is where the resemblance ends. PFI does not use the average gain versus average loss ratio that RSI is built on. It reads a completely separate stream of information, namely where price settles inside each bar and how forceful that bar was, and it adds a fatigue mechanism that keeps the oscillator from pinning at an extreme for long stretches. That pinning behavior is the single most common frustration with RSI in trending markets, and removing it is the whole point of this tool.
HOW THE READING IS BUILT
For every bar, PFI measures where the close finished inside that bar's own range. A close near the high produces a positive value, a close near the low produces a negative value, and the exact middle of the bar is zero. In plain terms the raw bar value is twice the close, minus the high, minus the low, all divided by the range of the bar.
That location is then weighted by the size of the bar relative to recent volatility, using its true range compared with ATR. A wide conviction bar counts far more than a narrow indecisive one, so a big committed push moves the reading while chop barely registers.
Those weighted values are smoothed with a Wilder average into a running charge, and the charge is passed through a smooth squashing curve, a hyperbolic tangent, that maps it cleanly onto the 0 to 100 scale. The outcome is an oscillator that responds to genuine intrabar buying and selling pressure rather than to close to close drift.
THE FATIGUE MECHANIC
This is what separates PFI from every standard oscillator. While the reading sits beyond your overbought or oversold level, a hidden fatigue term builds up, and it builds faster the deeper the reading has pushed into the extreme. That fatigue then compresses the plotted line back toward the midline. To hold a value pinned at 85 the market would have to supply constantly accelerating fresh pressure, which real markets cannot sustain, so an extended run simply sags the line out of the zone on its own. The moment the reading leaves the extreme, fatigue releases and full sensitivity returns. Fatigue is driven by the underlying raw reading rather than the visible plotted line, so there is no threshold flutter and no repainting.
THE RAW GHOST LINE
PFI plots two lines. The bold purple line is the fatigue compressed reading you trade from. The faint gray ghost line behind it is the raw pressure before fatigue is applied. The distance between the two is itself information. When the ghost is still pinned deep in a zone while the purple line sags away from it, the move is still strong and it is not yet time to fade. When both lines roll out of the zone together, the exhaustion is real. The gap between them also drives the signal engine described below.
THE SIGNAL ENGINE
The buy and sell markers are built to catch turns at the actual low and high, not to fire every time a line touches a level. A signal is the end of a short sequence rather than a single condition, and each side can fire only once per cycle.
A buy requires the following to line up in order. First, a flush bar must occur while the raw reading is oversold, meaning a bar that is unusually wide relative to ATR and that closes down at the bottom of its own range. That is the panic capitulation that tends to mark bottoms, and it is marked on the pane with a small dot. Second, the episode must be mature, meaning the gap between the ghost and the purple line has grown wide enough to prove the move was both deep and sustained. Third, the trigger bar itself must be a conviction reversal, a bar with real size that closes up near the top of its range while the reading turns back up near the zone. In short, sellers pressed hard, exhausted themselves on a flush, and buyers just took the first decisive bar back.
Sells are the exact mirror. A euphoric blowoff bar in the overbought zone, a mature episode, and then a heavy rejection bar near the high.
After a signal fires, that side locks and cannot fire again until the reading passes back through the midline, so a single messy bottoming or topping process produces one marker rather than a cluster. A cooldown allows a second attempt only if a fresh, deeper flush develops.
There is also an optional divergence filter. When enabled, a buy also requires price to print a new low for the episode while the pressure reading makes a higher low, the classic bottoming tell. It is off by default because it screens out clean sharp reversals that have no divergence, but you can enable it when you only want the highest conviction fades.
INPUTS
Core sets the price source, the pressure length, the volatility length, and the sensitivity that controls how easily the reading reaches its extremes.
Zones set your overbought and oversold levels.
Fatigue exposes the build rate, the release rate, and the impact, so you can tune how quickly the oscillator tires and recovers and how hard it is pulled back toward the middle.
Signals expose the arm gap, the flush bar strictness, the trigger bar strictness, the near zone buffer, the optional divergence filter, and the re signal cooldown.
Smoothing gives you a moving average over the oscillator with the same menu as the built in RSI, including SMA, EMA, SMMA, WMA, VWMA, and an SMA option with Bollinger Bands.
HOW TO USE IT
Treat the purple line the way you would treat any oscillator, with low as oversold and high as overbought, but trust it to leave the zone on its own rather than staying stuck. Use the ghost line and its distance from the purple line to judge whether a move is still strong or genuinely tiring. Take the triangle markers as your prepared fade entries, and remember that each side fires once per cycle by design. If you want more markers on a fast timeframe, loosen the flush range first, then the arm gap, then the trigger close location. If you want fewer and stronger markers, do the reverse and consider enabling the divergence filter.
Set your alerts to fire once per bar close, since the live bar can move before it settles.
NOTE
This tool is offered for research and education. It is not financial advice. Test it on your own markets and timeframes and manage your own risk before trading it.
インジケーター
Cross Asset Sentiment Extremes OscillatorCross Asset Sentiment Extremes Oscillator (XSEO)
WHAT IT IS
XSEO is a composite sentiment oscillator that scores market emotion on a 0 to 100 scale and flags the extremes where mean reversion setups cluster. Readings near the bottom of the scale mark washed out fear of the kind that tends to appear near lows. Readings near the top mark crowded greed of the kind that tends to appear near highs. One script covers stocks, indices, and crypto.
TWO BASKETS, ONE ENGINE
The script reads the symbol type and loads the matching basket of external data automatically. A manual override is available in the settings.
Stocks and indices basket:
VIX implied volatility (inverted, high VIX means fear)
NYSE TRIN (inverted, heavy selling pressure means fear)
CBOE equity put/call ratio, ranked in daily context (inverted)
High yield credit spread (inverted, wide spreads mean risk aversion)
Percent of S&P 500 stocks above their 200 day average (breadth strength)
Percent of S&P 500 stocks above their 50 day average (faster breadth)
Crypto basket:
Perp to spot basis on BTC (a funding and leverage proxy, a rich premium means greed)
Coinbase premium versus Binance (US spot demand)
USDT dominance (inverted, cash parked in stables means fear)
ETH/BTC momentum (alt risk appetite)
DXY (inverted, a strong dollar means risk aversion)
Chart internals, active in both modes:
RSI percentile rank (momentum extreme)
Extension from the 200 bar mean
Realized volatility rank, inverted (calm means complacency, spikes mean fear)
HOW IT IS BUILT
Every component is converted to a percentile rank over a lookback window so that different units blend cleanly, and fear oriented series are inverted so that high always means greed. Feeds that only publish daily (put/call, credit spreads, breadth) are ranked inside a daily request and held between updates. Live feeds and the chart internals are ranked on the chart timeframe, so the line keeps moving intraday. Feeds that are unavailable on a given bar (weekends, holidays, closed sessions) are skipped from the average rather than zeroed, which keeps the oscillator honest on 24/7 crypto charts. The external basket and the internals are then blended with an adjustable weight and smoothed.
READING IT
Above the upper threshold (default 80) the market is in the extreme greed zone. Below the lower threshold (default 20) it is in the extreme fear zone. The line colors itself red when hot, green when cold, and gray in the middle, and the background tints inside the zones.
SIGNALS AND ALERTS
Two trigger styles are available.
Zone Exit (default): the buy fires when the oscillator crosses back up out of the fear zone, and the sell fires when it crosses back down out of the greed zone. This waits for the turn and avoids some knife catching.
Zone Entry: fires the moment an extreme zone is entered. Earlier and more aggressive.
Alert conditions are included for both long and short.
SETTINGS
Fear and greed thresholds. Lookback for chart timeframe ranks (in bars) and a separate lookback for daily feeds (in days). External data weight percent, with the remainder going to the chart internals. Smoothing length. An optional display of the external and internal subscores so you can see what is driving a reading.
DATA SOURCES
CBOE:VIX, USI:TRIN.NY, USI:PCCE, FRED:BAMLH0A0HYM2, INDEX:S5TH, INDEX:S5FI, BINANCE:BTCUSDT.P, BINANCE:BTCUSDT, COINBASE:BTCUSD, CRYPTOCAP:USDT.D, BINANCE:ETHBTC, TVC:DXY
TIMEFRAMES AND NOTES
Built for higher timeframe charts but usable intraday. On intraday charts the daily feeds step once per day while everything else updates live. Consider raising the chart timeframe lookback on fast charts, for example 300 to 700 bars on 15 minute charts. Values drawn from the developing daily bar update in real time until that bar closes, which is standard higher timeframe behavior. XSEO is a timing and context tool, not a complete system. It works best as a filter for mean reversion entries at levels you already care about. Nothing here is financial advice.
Concept credit: builds on the classic composite fear and greed approach of blending volatility, positioning, breadth, and credit data into a single gauge.
インジケーター
Dividends, Returns, and Growth Calculator**1 / 3 / 5 / 10 Year Returns, Income and Value**
This indicator estimates how a fixed investment would have performed over the past 1, 3, 5, and 10 years.
It combines historical price performance, gross dividend distributions, optional dividend reinvestment, accumulated shares, latest payout income, trailing-12-month dividend yield, and current position value in one compact table.
The script is designed for dividend-paying stocks, ETFs, and funds.
## Main Features
* Calculates 1-year, 3-year, 5-year, and 10-year price returns
* Calculates total return with or without dividend reinvestment
* Simulates whole-share or fractional-share DRIP
* Uses actual historical gross dividend events
* Estimates the delay between dividend events and cash distribution
* Calculates trailing-12-month dividend yield
* Shows the cash generated by the latest completed distribution
* Shows the number of shares currently held
* Shows the current market value of the simulated position
* Automatically estimates monthly, quarterly, semi-annual, or annual payout frequency
* Uses daily data internally, allowing the table to work on intraday and higher-timeframe charts
## Table Columns
### Term
The historical investment period being simulated:
* 1Y
* 3Y
* 5Y
* 10Y
### Start
The historical closing price used to establish the original position.
The initial investment is divided by this price to calculate the original number of shares purchased.
### Price %
The change in share price from the historical starting price to the current price.
Dividends are not included.
### Total %
The total return generated by the investment, including dividends.
The calculation changes depending on whether dividend reinvestment is enabled.
**Reinvest Dividends enabled**
Total return includes:
* The current value of the original shares
* The current value of all shares purchased through DRIP
* Dividends generated by DRIP-acquired shares
* Any remaining whole-share DRIP cash
* Any dividend cash waiting for the estimated distribution date
This represents a compounded total-return simulation.
**Reinvest Dividends disabled**
Total return includes:
* The current value of the original shares
* All dividends received during the selected period
* Any dividend payment that has been earned but is still pending
Dividends are assumed to be withdrawn after each payout. They are still counted as investment return, but they do not purchase additional shares or compound.
### DIV Yld TTM
The trailing-12-month dividend yield.
It is calculated as:
Total gross dividends per share recorded during the last 365 days divided by the current share price.
This calculation uses actual historical dividend events rather than a financial-statement estimate.
Special dividends, payout increases, payout reductions, and irregular distributions may therefore affect the displayed yield.
### Last Payout
The cash generated by all shares held for the latest completed distribution.
The payout is calculated using the number of shares owned when that distribution was earned.
With DRIP enabled, this is the cash received before the payment was reinvested.
With DRIP disabled, it is the cash generated by the original shares.
The displayed prefix represents the estimated distribution frequency:
* M = Monthly
* Q = Quarterly
* S = Semi-Annual
* A = Annual
### Shares
The number of shares currently held in the simulation.
With dividend reinvestment enabled, this includes the original shares and all additional shares purchased through DRIP.
With dividend reinvestment disabled, the share count remains equal to the original shares purchased at the beginning of the selected period.
### Value
The current market value of the shares still held.
With dividend reinvestment disabled, the Value column always shows:
Current shares held multiplied by the current share price.
Previously withdrawn dividends are not added to Value.
With dividend reinvestment enabled, the user can select:
**Total Value**
Includes the current market value of all shares plus remaining and pending dividend cash.
**Stock Value Only**
Includes only the number of shares held multiplied by the current share price.
## Dividend Reinvestment
When dividend reinvestment is enabled, each historical distribution is calculated using the number of shares held at that time.
The resulting dividend cash becomes available on the estimated distribution date and is reinvested using the closing price on that date.
Two DRIP methods are available.
### Whole Shares Only
Only complete shares are purchased.
Unused dividend cash is carried forward until enough cash is available to purchase another full share.
### Fractional Shares
All available dividend cash is reinvested, including fractional shares.
This generally produces a more complete compounding simulation because no cash is left waiting for a whole-share purchase.
## Distribution-Date Estimate
TradingView provides historical dividend events but does not consistently provide the actual historical cash payment date for every symbol.
This script can therefore delay reinvestment until an estimated distribution date.
Automatic defaults are:
* ETFs and funds: 7 calendar days
* Individual stocks: 28 calendar days
The delay can also be disabled or set manually.
When the delay is disabled, dividend cash is treated as available on TradingView’s dividend-event date.
## Important Notes
This indicator is a historical simulation and does not guarantee future performance, income, or dividend growth.
Results depend on the completeness and accuracy of TradingView’s historical price and dividend data.
The simulation does not include:
* Income taxes
* Dividend withholding taxes
* Brokerage commissions
* Foreign-exchange conversion costs
* Bid-and-ask spreads
* Broker-specific DRIP discounts
* Broker-specific reinvestment timing
* Slippage
* Corporate actions not represented correctly in TradingView’s data
Gross dividend values are used.
Actual investor results may differ depending on tax residency, account type, broker policies, currency conversion, and dividend eligibility.
This indicator is intended for research, comparison, and educational purposes only. It is not financial advice.
インジケーター
Strong NQ ORB Breakouts | ProjectSyndicateSTRONG NQ ORB Breakouts catches the moment the Nasdaq session resolves its opening range — and instead of treating every push past a line as a trade, it waits for a genuine close beyond the range, tags the direction, and ranks the breakout 0–10 with a star score. The first block of the session builds a range; price then has to actually close outside it, in agreement with momentum and — if you want it — the higher-timeframe trend, before a signal arms. Every setup gets a structural stop, fixed R-based targets with a ⅓/⅓/⅓ scale-out and break-even after the first bank, and is tracked live on a full statistics dashboard — including end-of-session time-stops — so you can see exactly how the logic behaves on the instrument and timeframe you trade.
🧠 Opening-Range Core — the core idea. At the start of the session the engine records the high and low of a configurable opening window, 60 minutes by default. That band is the opening range: the session's first agreed value area. A signal fires on the release — the bar that closes beyond the range high for a long or the range low for a short inside the trade window — and the direction is set by that break. In Auto mode the range anchors to the instrument's own daily session open (the first bar of the day), so it locks to the real NAS100 / NQ open regardless of your feed's server clock; a Custom session-plus-timezone mode is there if you'd rather define the window by hand. Signals are evaluated on the bar's close and are fixed once that bar closes — the range and the break do not repaint.
📈 Range Mapping & ADR Context — while the opening window is live, the engine continuously tracks the developing high, low, and width of the range, then freezes it the moment the window ends. The finished range is measured in points and expressed as a percentage of the instrument's Average Daily Range, a non-repainting daily read, so you instantly see whether the session is coiling tightly or has already burned its move. A clean, proportionate range is a loaded session; an over-wide one is a day that has already spent itself.
🎯 Structural Stop + R-Based Scale-Out — risk (R) is measured from an ATR distance by default — the strongest basis on NAS100 M5 — or against the opposite range edge or the range midline if you prefer, then floored and capped by ATR so it can never collapse into a meaningless stop or balloon into a wide one. TP1, TP2, and TP3 are set at clean R multiples and default to a balanced 1R / 2R / 3R, fully adjustable. The trade model is an honest ⅓ scale-out: one third banks at each target, and after TP1 the remaining two thirds ride with the stop moved to break-even. Every signal plots its complete Entry / SL / TP1 / TP2 / TP3 line set, labeled levels, and filled TP / SL zone boxes, with an R-tagged result label on exit.
🎚️ Conviction Controls — a small set of dials sets how serious a breakout must be before it counts: the 0–10 Minimum Strength gate, an optional Range-vs-ADR window that skips days whose range is too tight or too wide, a Close-vs-Wick breakout trigger, and Max One Trade Per Day. By design the day-skipping filters are off by default — no days are hidden — so you first see the raw, unfiltered behavior. Tighten them for fewer, higher-quality fires; loosen them for more activity. This is your main dial for conviction versus frequency.
🧭 HTF Trend Alignment + Session Gating — an optional higher-timeframe EMA filter blocks counter-trend fires, keeping you on the dominant side: longs only above it, shorts only below. The higher-timeframe value is read without lookahead. Entries are confined to the trade window after the range forms, and the per-day cap spaces out tickets so one volatile session can't stack trades. Anything still open at the session close is flattened by an end-of-session time-stop — and that exit is booked and counted honestly, never quietly dropped.
🧲 Liquidity Magnet — the engine maps resting liquidity by tracking confirmed swing pivots above and below price and marking each as swept or unswept as price trades through it. When a breakout fires, it projects the nearest opposing unswept pool as a dotted magnet line — the pocket of liquidity the move is naturally drawn toward — and the dashboard reports the distance to the nearest pools up and down in ATR terms. It's context for where the breakout wants to go.
⭐ 0–10 Setup-Quality Score — every release is scored and labeled with 1–5 stars and a tier FORMING → WEAK → MODERATE → STRONG → VERY STRONG → ELITE across breakout-native factors: expansion-candle body strength, candle range vs ATR, momentum alignment over short and medium lookbacks, volume confirmation, clean penetration beyond the range edge, RSI agreement, higher-timeframe EMA alignment, and intraday bias of close versus the session open. A companion direction-probability read blends penetration, momentum, RSI, session bias, and HTF position into an up/down percentage. Treat the score as a confluence / cleanliness read for ranking setups — it describes how textbook a breakout is, not a guaranteed outcome. Note: on the test data, filtering to "strong only" actually *reduced* win rate, so the stars default to a context tool rather than a hard gate.
📊 Live Statistics Dashboard — a non-intrusive panel tracks, in real time on your chart: the current session state of waiting / forming OR / range set / armed / trade active, the live opening-range size and its ADR percentage, the magnet distance up and down, the active bias and trade, the live strength and direction-probability meters, total win rate and closed-trade count, profit factor, average R per trade, total R, best-performing direction, long vs short win rate, current and max win/loss streaks, and a TP1 / TP2 / TP3 / SL / EOD outcome breakdown. Every filled trade that reaches an outcome is counted — winners, stop-outs, break-even runners, and time-stops alike — so the numbers are computed live from the real signals on your current symbol and timeframe rather than a figure printed in a description.
🎨 Clean Themed Visuals — a Midnight institutional palette, with Emerald, Ice Blue, Gold Black, and Aqua Violet alternates, shades the opening-range box, the ORH / ORL / midline levels, the per-trade SL / TP ladder, the liquidity pools and magnet, and the dashboard to one coherent look, so quality and direction read at a glance. The range box is drawn over the window where it formed and projected forward with point-labeled edges; long and short trades are color-keyed; a faint tint marks the active opening window. A shelf-length and max-drawn-trades control keep the chart clean — the right-edge zones never stretch into oversized towers, tickets snap back to the exit bar on close so labels never float away, and only the most recent N tickets stay drawn while the statistics remain cumulative over the whole history.
🔔 Detailed Alerts — fires on long / short opening-range breakouts, plus TP3, protected partial-TP, and stop-loss events, formatted for manual or automated use.
🔧 Fully Customizable — every component is exposed: the range anchor (Auto session-open or Custom), the opening-range minutes, timezone, and trade window; the ATR length, stop basis of ATR / opposite edge / midline with risk cap and floor; the three R targets, break-even-after-TP1 toggle, Close-vs-Wick trigger, and one-trade-per-day cap; the ADR gate with min/max band, minimum strength, and HTF alignment filter and timeframe; the liquidity pivot length, pool display, and magnet toggle; the point definition for the dashboard; all five themes; and every label, dashboard, zone, and projection toggle.
🎯 Why this is different — most ORB tools just draw two lines at a fixed clock time and leave everything after that to you. This one anchors the range to the real Nasdaq open, sizes the break against the instrument's own ADR so a tight coil and a blown-out day aren't treated alike, can demand momentum, volume, penetration, and trend confirmation before it fires, anchors risk sensibly, then layers a genuine ⅓/⅓/⅓ scale-out with break-even, a liquidity magnet, an objective 0–10 ranking, and a live, honest statistics panel — one that counts stop-outs and end-of-session exits in full — so you are tuning and judging the system on real, current data instead of a marketing figure.
🚀 Where to use it — built and validated for NAS100 / NQ on the M5 timeframe, where the default OR 60m · ATR×1.0 stop · 1R/2R/3R model was developed. The ATR-based stop and ADR sizing adapt to volatility automatically, and the session windows can be re-pointed to a different open if you want to run the same engine elsewhere. It works on other index CFDs and futures, but the defaults are tuned for the Nasdaq open.
🎯 How to trade it
- Apply it to NAS100 / NQ on M5 and let the dashboard populate. Read the live win rate, profit factor, and average R for your symbol and timeframe before committing — if the logic doesn't suit your feed, you'll see it.
- Start with the day-skipping filters off to see raw behavior; add the HTF Trend Alignment and Range-vs-ADR gates when you want to trade only with the larger trend and skip dead or already-spent sessions.
- Wait for a NQ ORB LONG / NQ ORB SHORT label — it marks a confirmed close beyond the opening range, with the star score, direction probability, and Entry, SL, and TP1/2/3 already plotted.
- Manage the trade with the plotted levels: the structural SL defines your risk, one third banks at each R target with the stop moving to break-even after TP1, and any position still open at the trade-window close is flattened by the time-stop.
- Use Minimum Strength and Max One Trade Per Day to set your tempo, and read the liquidity magnet for a sense of where the move is being drawn.
⚠️ Important — this is a decision-support tool, not a standalone buy/sell system, and it makes no performance guarantees. Default settings were chosen on historical data and behavior will vary by instrument, timeframe, session, and configuration; the dashboard's statistics are historical and descriptive, not a forecast. The trade model includes a ⅓ scale-out, break-even after TP1, and an end-of-session time-stop, so some trades close at a fraction of a target rather than a full win or loss — these are counted in full, which is honest but means win rate alone is misleading; always weigh it together with average R and profit factor, and resize the R targets to your own risk profile. Signals confirm on the closed bar, so always wait for the labeled release on a closed candle. Always combine it with your own analysis and risk management, and test it on your market before trading it live. インジケーター
Strong Biotech Screener | ProjectSyndicateStrong Biotech Screener turns dozens of charts into a single institutional-style dashboard, ranking a curated universe of 40 leading biotech names by performance across six timeframes and scoring each one on professional-grade risk metrics — Beta, Sharpe, Sortino, Omega, Z-Score, and Kelly — so you can find the year's biotech leaders and weigh their risk-adjusted quality at a glance, all on one clean, sortable panel. Every figure is computed live on the daily timeframe from real price history, not hard-coded, so the board reflects the market as it actually is right now.
🧬 Curated 40-Name Biotech Universe — the screener watches a hand-picked list of 40 high-momentum biotech, pharma, and life-sciences stocks in one place. Instead of flipping through forty charts, you see every name's performance and risk profile side by side and immediately spot who is leading and who is rolling over.
🗓️ Six-Timeframe Performance — each stock is tracked across Week, Month, Quarter, 6-Month, 12-Month, and Year-to-Date returns, so you can separate a one-week catalyst pop from a genuine long-run trend and see momentum building or fading across horizons in a single row.
🧮 Institutional Risk Metrics, Done Properly — beyond raw returns, every name is scored on Sharpe (excess return per unit of total volatility), Sortino (return per unit of downside risk only), Omega (probability-weighted gains versus losses above the risk-free threshold), Z-Score (how stretched the recent move is in standard deviations), and the Kelly fraction (a theoretical optimal-sizing read from return and variance). The stats are annualized from daily returns over a rolling window with a configurable risk-free rate, so the risk picture is consistent and comparable across the whole list — which matters especially in biotech, where single-name volatility is extreme.
🎯 Basket-Relative Beta — Beta is measured against an equal-weight basket of the 40 names in the screener, so it tells you how a stock moves relative to this specific biotech cohort rather than a broad index. Beta above 1 swings harder than the group; below 1 is steadier. You control the lookback length used for the beta and correlation calculation.
🌡️ Annualized Weekly Volatility — a dedicated Wk Vol column annualizes the standard deviation of recent weekly returns, giving you a fast read on how violent each name's price action is before you size into it — essential in a sector where binary trial and FDA events can move a stock 50% in a session.
🔀 Dynamic Sorting — sort the entire board by any of the six performance columns with a single setting. Rank by YTD to find the year's biotech leaders, by Week to catch what is moving on fresh catalysts, or by any horizon in between — the table re-ranks instantly.
🎨 Bloomberg-Amber Theme with Color-Coded Strength — a clean amber-on-black dashboard with a multi-level gradient that runs from bright amber on the strongest gains through to deep red on the steepest losses, so strength and weakness jump out the moment you look at the panel.
🧩 Fully Customizable Dashboard — place the table anywhere on the chart (Top / Middle / Bottom paired with Left / Center / Right), choose your text size (Tiny / Small / Normal / Large), set the sort column, the beta length, and the risk-free rate and periods — all from the settings menu, no code editing required.
🔒 Daily-Timeframe Lock — the screener is built for daily data and will prompt you to switch if you load it on a lower timeframe, so the returns, volatility, and ratios are always calculated on the basis they are designed for.
⚡ Lightweight and Efficient — the whole 40-name board is built from a tight, well-organized script that runs smoothly on TradingView, with a clean merged title heading and an alternating-row layout for easy reading. Delisted or halted tickers degrade gracefully to blank rows rather than breaking the panel.
🎯 Why this is different — most watchlists show you price and maybe a percentage move. This screener puts performance and a full institutional risk stack — Sharpe, Sortino, Omega, Z-Score, Kelly, Beta, and annualized volatility — for forty leading biotech names on one sortable, color-coded panel, so you are ranking opportunities by risk-adjusted quality, not just chasing the biggest green number.
🚀 Where to use it — apply it to any daily chart to monitor the biotech leadership group as a whole. Use it for top-down scanning, rotation ideas, and risk screening before you drill into an individual name's chart for entry timing.
⚠️ Important — this is a research and decision-support dashboard, not a buy/sell system, and it makes no performance guarantees. The 40-name universe is a snapshot of the year's momentum leaders and will drift over time; the board re-ranks live, but membership is fixed until updated. All figures are historical and descriptive, computed from past price data, and say nothing certain about the future. Risk metrics like Sharpe, Sortino, Omega, Z-Score, and Kelly are simplified, assumption-based estimates and should inform your judgment, not replace it. Biotech is an especially high-risk sector driven by binary clinical and regulatory events — always pair the screener with your own analysis and risk management. インジケーター
インジケーター
DAX Universe Relative Strength & Volume Quality [JS]DAX Universe RS & Volume Quality is a relative strength and pullback quality indicator designed for German stocks from the DAX, MDAX, SDAX and TecDAX universe.
The indicator measures a stock’s weighted relative performance against an equal-weighted German equity benchmark made from DAX, MDAX, SDAX and TecDAX. The relative strength model is inspired by IBD / Minervini-style momentum analysis, giving more weight to recent performance while still considering the medium- and longer-term trend.
Relative Strength Model:
• 40% weight: approx. 3-month performance
• 20% weight: approx. 6-month performance
• 20% weight: approx. 9-month performance
• 20% weight: approx. 12-month performance
The result is displayed as a percentage relative to the German stock universe benchmark:
• RS above 0% = the stock is outperforming the benchmark
• RS below 0% = the stock is underperforming the benchmark
• RS above the user-defined strength threshold = RS STARK / strong relative strength
In addition to relative strength, the indicator includes a High-Volume Down-Day filter. This helps assess whether a pullback is still constructive or whether distribution pressure may be increasing. The user can define:
• Lookback period
• Minimum loss required for a down-day to count
• Volume moving average length
• High-volume factor
• Maximum allowed High-Volume Down-Days
The simplified status box highlights the current setup condition using color:
• Green = strong relative strength and acceptable volume quality
• Yellow = positive or improving relative strength, but not yet ideal
• Red = weak relative strength or too many High-Volume Down-Days
The textbox position, size, width and height can be adjusted in the indicator settings.
This indicator is designed as a decision-support and screening tool for relative strength, pullback quality and German stock leadership analysis. It is not an official IBD RS Rating and does not provide financial advice or automatic buy/sell recommendations. Always combine it with your own chart analysis, risk management and market context. インジケーター
Stocks: Dashboard [invincible3]Stocks Dashboard is a professional all-in-one stock analysis dashboard built directly for TradingView charts. It is designed to help investors, traders, and analysts quickly evaluate a stock using a combination of fundamental strength, valuation, financial health, income quality, shareholder return, and price momentum.
The indicator displays a clean table-based dashboard on the chart and converts raw financial and technical data into easy-to-read category scores. Instead of checking many separate financial ratios manually, this dashboard organizes the most important stock metrics into structured sections and gives a clear visual overview of the company’s current condition.
The dashboard includes composite scoring for Quality, Value, Growth, Financial Health, Income / Shareholder Return, and Momentum. Each category is scored from 0 to 100 and classified using simple rating labels such as Elite, Strong, Fair, Weak, or Risk. This allows users to quickly compare the strength and weakness of a stock across multiple dimensions.
The Valuation section includes important valuation metrics such as P/E TTM, Forward P/E, PEG Ratio, P/S, P/B, EV/EBITDA, EV/Sales, Earnings Yield, Operating Earnings Yield, Graham Price, Graham Number Upside, EPS TTM, and BVPS. These metrics help identify whether a stock may be expensive, fairly valued, or potentially undervalued.
The Quality section focuses on profitability and business efficiency. It includes ROE, Asset Return / ROA, ROIC, Piotroski F-Score, Gross Margin, Operating Margin, Net Margin, EBITDA Margin, and Free Cash Flow Margin. These values help evaluate how efficiently the company generates profits from its assets, equity, capital, revenue, and operations.
The Growth section tracks the company’s expansion profile using Revenue Growth, EPS Growth, and Sustainable Growth Rate. These metrics help users understand whether the business is improving, stagnating, or losing earnings momentum.
The Financial Health section evaluates balance sheet strength and risk. It includes Debt / Equity, Debt / Assets, Debt / EBITDA, Net Debt / EBITDA, Cash / Debt, Current Ratio, Quick Ratio, Interest Coverage, Altman Z-Score, Operating Cash Flow, and Free Cash Flow. This section is useful for identifying companies with strong liquidity, manageable debt, and lower financial risk.
The Income / Return section is designed for dividend and shareholder-return analysis. It includes Dividend Yield, Payout Ratio, Free Cash Flow Yield, DPS, Buyback Yield, and Buyback Ratio. These metrics help investors evaluate whether a company is returning value to shareholders through dividends, buybacks, and cash generation.
The Momentum section adds a technical view of the stock. It includes RSI 14, 1-month return, 3-month return, 6-month return, 12-month return, 6-month relative strength versus a selected benchmark, 12-month relative strength versus a selected benchmark, volatility, and moving-average trend using the 20, 50, and 200 daily moving averages.
The Snapshot section provides a quick summary of the selected stock, including current price, market capitalization, enterprise value, 52-week position, and distance from the 52-week high. This gives users a fast overview of where the stock is trading relative to its recent range.
Users can customize the stock symbol, benchmark/index symbol, financial period, table position, text size, color theme, and visible sections. The dashboard supports multiple professional themes, including Dark Terminal, Light Terminal, Emerald Pro, Royal Blue, and Amber Desk. Users can also enable or disable colored score backgrounds, score bars, alternating rows, colorful section headers, and directional symbols.
This indicator is useful for:
* Long-term stock analysis
* Fundamental screening
* Valuation comparison
* Dividend and shareholder-return review
* Financial health analysis
* Momentum confirmation
* Relative strength comparison against an index or benchmark
* Building a structured watchlist review process
The goal of this dashboard is to provide a fast, organized, and visually professional stock overview without requiring users to switch between multiple financial websites or separate indicators. It combines fundamental data and technical momentum into one compact chart-based table, making it easier to identify strong, weak, undervalued, overvalued, or financially risky stocks.
Note: The dashboard uses TradingView’s available financial data. Some metrics may appear unavailable depending on the selected symbol, exchange, market, or financial data coverage. This tool is intended for analysis and research purposes only and should not be considered financial advice.
インジケーター
Auto Candlestick Patterns Targets Setup🔷 OVERVIEW
Auto Candlestick Pattern Targets automatically identifies supported candlestick reversal patterns and displays a complete trade setup directly on the chart. When a qualifying pattern is detected, the indicator plots an Entry level, Stop Loss, and up to three Take Profit levels based on its internal calculation logic.
The objective is to reduce the amount of manual chart work by presenting trade levels in a consistent visual format.
🔷 HOW IT WORKS
The indicator continuously evaluates completed candles for supported bullish and bearish candlestick formations.
When the pattern conditions are satisfied, it:
• Displays a Buy or Sell label
• Calculates an Entry level
• Places a Stop Loss based on the detected pattern
• Projects three Take Profit targets
Each setup remains visible on the chart, allowing users to review historical signals and monitor active trades.
🔷 VISUAL FEATURES
• Automatic Buy and Sell labels
• Entry level
• Stop Loss level
• Three Take Profit targets
• Risk and reward visualization
• Historical signal display
• Configurable colors and styles
🔷 INPUTS
The indicator includes options to customize:
• Signal sensitivity
• Display of Entry, Stop Loss, and Targets
• Label visibility
• Colors
• Historical setup display
🔷 USAGE
A common workflow is:
Wait for a Buy or Sell signal.
Allow the signal candle to close.
Review the plotted Entry, Stop Loss, and Take Profit levels.
Combine the setup with your own market analysis before making trading decisions.
🔷 MARKETS
The indicator can be applied to:
• Forex
• Stocks
• Cryptocurrency
• Indices
• Commodities
It is compatible with multiple timeframes, depending on the user's trading approach.
🔷 NOTES
This indicator is intended as a chart analysis tool and does not predict future price movements. Trade setups are generated according to the indicator's programmed rules and should be evaluated alongside other forms of technical analysis and appropriate risk management. インジケーター
Strong Tech Stocks Screener | ProjectSyndicateStrong Tech Stocks Screener turns dozens of charts into a single institutional-style dashboard, ranking a curated universe of 40 leading tech, AI, and semiconductor names by performance across six timeframes and scoring each one on professional-grade risk metrics — Beta, Sharpe, Sortino, Omega, Z-Score, and Kelly — so you can find the leaders and weigh their risk-adjusted quality at a glance, all on one clean, sortable panel. Every figure is computed live on the daily timeframe from real price history, not hard-coded, so the board reflects the market as it actually is right now.
📊 Curated 40-Name Tech Universe — the screener watches a hand-picked list of 40 high-momentum tech, AI, and semiconductor stocks in one place. Instead of flipping through forty charts, you see every name's performance and risk profile side by side and immediately spot who is leading and who is rolling over.
🗓️ Six-Timeframe Performance — each stock is tracked across Week, Month, Quarter, 6-Month, 12-Month, and Year-to-Date returns, so you can separate a one-week pop from a genuine long-run trend and see momentum building or fading across horizons in a single row.
🧮 Institutional Risk Metrics, Done Properly — beyond raw returns, every name is scored on Sharpe (excess return per unit of total volatility), Sortino (return per unit of downside risk only), Omega (probability-weighted gains versus losses above the risk-free threshold), Z-Score (how stretched the recent move is in standard deviations), and the Kelly fraction (a theoretical optimal-sizing read from return and variance). The stats are annualized from daily returns over a rolling window with a configurable risk-free rate, so the risk picture is consistent and comparable across the whole list.
🎯 Basket-Relative Beta — Beta is measured against an equal-weight basket of the 40 names in the screener, so it tells you how a stock moves relative to this specific tech/AI cohort rather than a broad index. Beta above 1 swings harder than the group; below 1 is steadier. You control the lookback length used for the beta and correlation calculation.
🌡️ Annualized Weekly Volatility — a dedicated Wk Vol column annualizes the standard deviation of recent weekly returns, giving you a fast read on how violent each name's price action is before you size into it.
🔀 Dynamic Sorting — sort the entire board by any of the six performance columns with a single setting. Rank by YTD to find the year's leaders, by Week to catch what is moving now, or by any horizon in between — the table re-ranks instantly.
🎨 Bloomberg-Amber Theme with Color-Coded Strength — a clean amber-on-black dashboard with a multi-level gradient that runs from bright amber on the strongest gains through to deep red on the steepest losses, so strength and weakness jump out the moment you look at the panel.
🧩 Fully Customizable Dashboard — place the table anywhere on the chart (Top / Middle / Bottom paired with Left / Center / Right), choose your text size (Tiny / Small / Normal / Large), set the sort column, the beta length, and the risk-free rate and periods — all from the settings menu, no code editing required.
🔒 Daily-Timeframe Lock — the screener is built for daily data and will prompt you to switch if you load it on a lower timeframe, so the returns, volatility, and ratios are always calculated on the basis they are designed for.
⚡ Lightweight and Efficient — the whole 40-name board is built from a tight, well-organized script that runs smoothly on TradingView, with a clean merged title heading and an alternating-row layout for easy reading.
🎯 Why this is different — most watchlists show you price and maybe a percentage move. This screener puts performance and a full institutional risk stack — Sharpe, Sortino, Omega, Z-Score, Kelly, Beta, and annualized volatility — for forty leading tech names on one sortable, color-coded panel, so you are ranking opportunities by risk-adjusted quality, not just chasing the biggest green number.
🚀 Where to use it — apply it to any daily chart to monitor the tech/AI/semiconductor leadership group as a whole. Use it for top-down scanning, rotation ideas, and risk screening before you drill into an individual name's chart for entry timing.
⚠️ Important — this is a research and decision-support dashboard, not a buy/sell system, and it makes no performance guarantees. All figures are historical and descriptive, computed from past price data, and say nothing certain about the future. Risk metrics like Sharpe, Sortino, Omega, Z-Score, and Kelly are simplified, assumption-based estimates and should inform your judgment, not replace it. Always pair the screener with your own analysis and risk management. インジケーター
Volume Flow MatrixVolume Flow Matrix is a relative volume histogram that helps identify how strong or weak current market participation is compared to recent volume activity.
The indicator measures current volume against a fixed 300-bar volume baseline. Instead of showing raw volume only, it converts volume into a relative reading. This makes it easier to see whether the current candle is trading below average volume, around normal activity, with increased participation, or at an unusually high volume level.
On historical candles, the calculation uses completed candle volume. On the live candle, the indicator uses realtime volume projection. This means the current candle’s volume is estimated based on how much time has passed in the candle. As a result, the histogram can react during the candle instead of only after the candle closes.
The histogram is divided into five volume conditions:
Dry Volume shows candles with weak participation. These bars appear when relative volume is below 0.75. Dry volume can be useful for spotting quiet market phases, low-interest candles, or areas where price is moving without strong volume support.
Default Volume represents normal volume conditions. These candles do not meet the requirements for dry, directional, or extreme volume. Default volume helps separate ordinary market activity from more important volume events.
Bull Volume appears when relative volume is elevated and the candle also shows bullish pressure. For a candle to qualify as Bull Volume, relative volume must be at least 1.55, the candle must close above its open, and the close must be positioned in the upper part of the candle range. This can help highlight candles where stronger participation supports upward pressure.
Bear Volume appears when relative volume is elevated and the candle shows bearish pressure. For a candle to qualify as Bear Volume, relative volume must be at least 1.55, the candle must close below its open, and the close must be positioned in the lower part of the candle range. This can help highlight candles where stronger participation supports downward pressure.
Extreme Volume marks unusually high relative volume at or above 2.30. These candles show that volume is significantly above the recent baseline. Extreme Volume does not automatically mean bullish or bearish continuation. It should be read together with price location, candle structure, support and resistance, liquidity zones, or the broader market context.
Each candle is assigned to only one volume condition. The script checks the conditions in a fixed order so the histogram remains clean and does not stack multiple volume types on the same bar.
How to use it:
Use Dry Volume to identify low-participation areas where price movement may be less reliable.
Use Bull Volume and Bear Volume to confirm whether directional candles are supported by stronger participation.
Use Extreme Volume to mark important high-activity candles that may appear near breakouts, liquidity grabs, absorption areas, reversals, or strong continuation moves.
Use Default Volume as the neutral background state between low-volume and high-volume conditions.
Volume Flow Matrix does not provide trade entries or exits by itself. It is designed to support analysis by making volume behavior easier to read. The strongest use case is combining it with price action, market structure, key levels, liquidity, trend context, or any existing trading plan.
インジケーター
Exogenous Heatmap [invincible3]Exogenous Heatmap
The Exogenous Heatmap is a multi-country macro and market-performance dashboard designed to help traders and investors monitor external economic forces that may influence currencies, equities, commodities, and broader risk sentiment.
Instead of focusing only on price action from the current chart, this indicator visualizes key exogenous variables across major economies in a clean historical heatmap format. Users can compare countries by interest rates, GDP growth, balance of trade, foreign exchange reserves, and major stock index performance.
The indicator supports two calculation modes:
1. Raw Value
Displays the actual macroeconomic value or stock index performance for each country.
2. Differential vs Base
Compares each country against a selected base country. This is useful for identifying relative macro strength or weakness. For example, if the base country is set to the USA, the indicator shows how Australia, Japan, the UK, Europe, China, and other countries compare against the United States.
The heatmap includes the following datasets:
Interest Rates and Differentials
Displays policy interest rates or interest-rate differentials between countries. This is especially useful for forex analysis because higher relative interest rates can influence capital flows and currency strength.
GDP and Differentials
Displays GDP year-over-year growth or GDP growth differentials. This helps identify which economies are expanding faster or slower relative to the selected base country.
Balance of Trade and Differentials
Displays trade balance data. A stronger trade surplus may indicate external demand strength, while a deficit may reflect import pressure or weaker export competitiveness.
Reserves and Differentials
Displays foreign exchange reserve levels. This can help assess external liquidity strength and a country’s ability to manage currency or balance-of-payment stress.
Stock Index Performance and Differentials
Displays the performance of major stock indexes from leading economies. This adds a global risk-on/risk-off component to the indicator. Strong equity index performance may reflect improving investor sentiment, while weak performance may signal risk aversion.
The default stock index symbols include:
Australia: ASX 200
Canada: TSX Composite
China: Shanghai Composite
Europe: Euro Stoxx 50
Japan: Nikkei 225
New Zealand: NZX 50
Switzerland: SMI
United Kingdom: FTSE 100
United States: S&P 500
Users can manually change these symbols from the settings panel if they prefer alternative benchmarks.
Example 1: Interest Rate Differential
Suppose the selected dataset is Interest Rates and Differentials and the base country is set to USA .
If:
USA interest rate = 5.50%
Japan interest rate = 0.50%
Then Japan’s differential versus the USA is:
0.50% - 5.50% = -5.00 pp
This means Japan’s policy rate is 5.00 percentage points lower than the USA. In the heatmap, this would appear as a negative differential and would be colored toward the negative side of the gradient.
Example 2: Stock Index Performance Differential
Suppose the selected dataset is Stock Index Performance and Differentials and the timeframe is set to Monthly .
If:
USA S&P 500 monthly return = +4.20%
Japan Nikkei 225 monthly return = +2.10%
Then Japan’s stock index performance differential versus the USA is:
2.10% - 4.20% = -2.10 pp
This means Japan’s equity market underperformed the USA by 2.10 percentage points during that monthly period.
Example 3: Raw Stock Index Performance
If the calculation mode is set to Raw Value , the indicator displays each country’s own index return for the selected period.
For example:
USA: +4.20%
Japan: +2.10%
UK: -1.30%
Europe: +0.80%
This allows users to quickly identify which regions are leading or lagging in global equity performance.
Color Interpretation
Positive values are shown using the positive color gradient.
Negative values are shown using the negative color gradient.
Neutral or near-zero values are shown near the neutral color.
The indicator includes both automatic and manual color scaling. Auto Scale adjusts the heatmap based on the strongest visible value, while Manual Scale lets the user set a fixed range for more consistent comparisons.
How Traders Can Use It
Forex traders can use interest-rate and GDP differentials to evaluate relative currency strength.
Macro traders can use trade balance and reserve data to identify external economic pressure or resilience.
Equity and index traders can use global stock index performance to track international risk sentiment.
Commodity traders can use the dashboard as a macro backdrop because global growth, rates, and risk appetite often influence commodity demand and capital flows.
Important Notes
For percentage-based datasets such as interest rates, GDP growth, and stock index returns, differential values are displayed in percentage points, abbreviated as “pp.”
For balance of trade and reserves, raw values may often be more meaningful than differentials because countries may report values in different scales or currencies.
This indicator is designed as a macro and risk-sentiment visualization tool. It should be used together with technical analysis, fundamental analysis, and proper risk management.
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Stocks: Financial Summary [invincible3]Stocks: Financial Summary
Stocks: Financial Summary is a compact fundamental dashboard designed to visualize a company’s key financial statements directly on the TradingView chart.
The indicator displays three major financial sections:
Income Statement
Revenue, Gross Profit, EBIT or Operating Income, Pretax Income, and Net Income.
Balance Sheet
Total Assets, Total Liabilities, and Shareholders’ Equity.
Cash Flow
Cash Flow from Operations, Cash Flow from Investing, Cash Flow from Financing, and Free Cash Flow.
The dashboard is drawn on the right side of the chart using a clean multi-panel bar-chart layout. It allows traders and investors to quickly compare historical yearly or quarterly financial data without leaving the price chart.
Key Features
* Supports Yearly and Quarterly financial views.
* Optional TTM display for Income Statement and Cash Flow.
* Visual comparison of historical financial periods.
* Auto unit formatting: Raw, K, M, B, and T.
* Customizable dashboard position, spacing, bar width, colors, and transparency.
* Right-side layout designed to keep the price chart readable.
* Uses actual TradingView financial data through `request.financial()`.
* Includes manual fiscal year and quarter override options when exchange reporting labels need adjustment.
This tool is designed for fundamental analysis, long-term stock screening, and quick financial statement comparison. It can help users visually inspect whether a company’s revenue, profitability, assets, liabilities, cash flow, and free cash flow are improving or weakening over time.
This indicator is for educational and informational purposes only. It is not financial advice.
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Portfolio Treemap [invincible3]Portfolio Treemap
Portfolio Treemap is a visual portfolio monitoring dashboard designed to help traders and investors track multiple holdings directly on the TradingView chart.
The indicator allows users to enter up to 20 instruments, including stocks, ETFs, crypto pairs, forex symbols, or other TradingView-supported assets. For each instrument, the user can define the buy price and number of shares or units held. The script then calculates the live market value, cost basis, unrealized profit/loss, and percentage return using real-time chart data.
The dashboard uses a treemap-style layout where larger boxes represent larger portfolio weight based on the selected ranking mode. Box colors show unrealized performance: green for profitable positions and red for losing positions. The stronger the profit or loss percentage, the stronger the color intensity. Empty cells are blended with the chart background for a cleaner and more professional visual appearance.
Key Features:
• Track up to 20 portfolio instruments
• User-defined portfolio name
• Input symbol, buy price, and shares/units for each holding
• Real-time portfolio value, cost, and unrealized P/L
• Treemap-style visual dashboard
• Profit and loss color gradient
• Green boxes for winning positions
• Red boxes for losing positions
• Dynamic text color for light and dark themes
• Empty cells blend with chart background
• Supports stocks, ETFs, crypto, forex, commodities, and indices
• Adjustable dashboard position and size
• Optional portfolio header
• Multiple box-ranking modes: shares, position value, absolute P/L, and absolute P/L %
How to Use:
1. Add the indicator to your chart.
2. Open the indicator settings.
3. Enter your portfolio name.
4. Select each portfolio symbol.
5. Add your average buy price.
6. Add your number of shares or units.
7. Choose how boxes should be ranked: by shares, position value, absolute P/L, or absolute P/L percentage.
8. Use the dashboard to monitor portfolio performance visually.
Color Logic:
• Green = position is in profit
• Red = position is in loss
• Stronger color = larger percentage move
• Neutral color = near breakeven
• Empty spaces blend with the chart background
Important Notes:
For best results, use instruments quoted in the same currency. Mixing assets quoted in different currencies may make the total portfolio value and P/L less accurate unless the user manually adjusts values.
This indicator is intended for portfolio visualization and monitoring only. It does not provide buy or sell signals and should not be treated as financial advice. Always confirm portfolio values with your broker or exchange.
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Stock: Comparison Dashboard [invincible3]Stock: Comparison Dashboard
**Stock: Comparison Dashboard ** is a fundamental and market-strength comparison tool designed to compare two stocks side by side directly on the TradingView chart.
The dashboard helps traders and investors quickly evaluate which stock is stronger across multiple financial dimensions, including growth, income statement strength, profitability, valuation, cash flow quality, financial strength, liquidity, dividend quality, and relative price strength.
Key Features
1. Two-Stock Comparison
Select any two symbols and compare their financial metrics side by side. The dashboard displays both raw values and category-based scores.
2. Fundamental Metrics
The indicator includes a wide set of financial metrics, such as:
* Revenue growth
* EPS growth
* Total revenue
* Operating income
* Net income
* Margins
* Return on equity
* Price-to-earnings ratio
* Price-to-sales ratio
* Free cash flow
* Debt ratios
* Current ratio
* Dividend yield
* Dividend payout ratio
3. Category Scores
The dashboard calculates separate comparison scores for:
* Growth Score
* Income Score
* Profitability Score
* Valuation Score
* Cash Flow Score
* Financial Strength Score
* Liquidity Score
* Dividend Score
* Relative Strength Score
4. Proportional Scoring System
The scoring system uses proportional comparison instead of simple winner-take-all logic.
For example, if one stock has 16% growth and another has 18% growth, the weaker stock does not receive 0. Instead, both stocks receive proportional scores based on how close their values are.
This makes the dashboard more realistic and useful for financial analysis.
5. Relative Strength Score
The Relative Strength Score compares the market performance of both stocks using:
* 3-month price performance
* 6-month price performance
* 12-month price performance
* Position within the 52-week range
* Distance from the 200-day moving average
This helps identify which stock has stronger market momentum.
6. Better / Weaker Value Highlighting
Better and weaker values are highlighted using text color instead of heavy background coloring. This keeps the table cleaner and easier to read.
7. Light and Dark Table Themes
The dashboard includes both light and dark table themes, making it suitable for different TradingView chart layouts.
8. Customizable Rows
Each category allows the user to choose which metrics to display. Unwanted rows can be set to “None” to keep the dashboard clean.
How to Use
1. Select Stock 1 and Stock 2 from the indicator settings.
2. Choose the financial period: Quarter or Year.
3. Select the metrics you want to compare in each category.
4. Choose Light or Dark table theme.
5. Read the raw values and comparison scores to identify the stronger stock.
Interpretation
A higher score means the stock is stronger in that specific category.
Example:
* Higher Growth Score = stronger growth profile
* Higher Profitability Score = better profitability
* Higher Valuation Score = more attractive valuation
* Higher Financial Strength Score = stronger balance sheet
* Higher Relative Strength Score = stronger market momentum
Important Notes
This indicator uses TradingView financial data. Some financial fields may be unavailable for certain stocks, exchanges, or periods. If a metric is unavailable, the table may show a dash.
TradingView also has request limits, so the dashboard is designed to keep the number of active financial rows under control.
This indicator is intended for research, comparison, and educational analysis only. It is not financial advice. Always combine fundamental analysis with your own research, risk management, and market context.
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Stock: Snowflake Analysis [invincible3]Stock: Snowflake Analysis
Stock: Snowflake Analysis is a visual fundamental-analysis radar indicator designed for stock traders and investors who want a quick, structured view of a company’s financial quality. The indicator converts multiple TradingView financial metrics into normalized 0–100 scores and displays them as a six-axis snowflake/radar chart directly on the price chart.
The purpose of the indicator is to help users quickly evaluate a stock from several key perspectives: dividend quality, growth, inventory efficiency, financial stability, valuation, and future outlook. Each metric is transformed into a score, then plotted visually so the user can immediately see where a company is strong or weak. The current script uses six core categories: Dividend, Growth, Inventory, Stability, Valuation, and Future, and it draws the final score as a radar/snowflake polygon.
Main Concept
The indicator works by pulling available stock financial data from TradingView using request.financial(). These values are then normalized into scores from 0 to 100.
A score near 100 means the company is strong in that category.
A score near 50 means the company is neutral or average.
A score near 0 means the company is weak in that category.
The final snowflake shape gives a quick visual overview:
A large, balanced snowflake suggests broad financial strength.
A small or uneven snowflake suggests weakness or imbalance.
A stretched shape shows that the company is strong in some areas but weak in others.
Six Core Financial Categories
1. Dividend Score
The Dividend axis evaluates whether the stock provides attractive and sustainable shareholder distributions.
It uses:
Dividend yield
Dividend payout ratio
The dividend yield is scored positively when it is higher, while the payout ratio is scored negatively if it becomes too high. A very high payout ratio may suggest that the dividend is less sustainable.
A strong Dividend score usually means the company has a decent yield without excessive payout pressure.
2. Growth Score
The Growth axis measures how well the company is expanding.
It uses:
Revenue growth
EPS growth
Gross margin
The score rewards companies with improving sales, stronger earnings, and healthier gross margins. A company with strong revenue growth but weak margins may receive a mixed score, while a company with both growth and profitability receives a stronger score.
This category is especially useful for identifying companies with improving business momentum.
3. Inventory Score
The Inventory axis evaluates operating efficiency, especially for businesses where inventory management matters.
It uses:
Inventory turnover
Inventory-to-revenue ratio
Higher inventory turnover is considered positive because it suggests that the company sells its inventory efficiently. A lower inventory-to-revenue ratio is also considered positive because it indicates that inventory is not becoming too heavy relative to sales.
This score is more useful for retail, manufacturing, consumer goods, and industrial companies. It is less meaningful for banks, software companies, or service businesses.
4. Stability Score
The Stability axis measures balance-sheet strength.
It uses:
Current ratio
Debt-to-equity ratio
A higher current ratio generally suggests better short-term liquidity, while a lower debt-to-equity ratio suggests lower financial leverage.
A strong Stability score means the company appears financially safer and less dependent on debt. A weak score may suggest liquidity pressure or excessive leverage.
5. Valuation Score
The Valuation axis evaluates whether the stock appears reasonably priced relative to earnings.
It uses:
Earnings yield
Price-to-earnings ratio
Earnings yield is calculated as:
Earnings Yield = EPS / Price × 100
A higher earnings yield is better. A lower P/E ratio is also better, up to a reasonable threshold. This category rewards companies that generate meaningful earnings relative to their current share price.
A high Valuation score may suggest the stock is cheaper relative to earnings, while a low score may suggest the stock is expensive or earnings are weak.
6. Future Score
The Future axis attempts to measure forward-looking quality.
It uses:
Sustainable growth rate
Forward P/E ratio
A higher sustainable growth rate improves the score, while a very high forward P/E lowers the score. This category tries to balance future growth potential with future valuation risk.
A strong Future score suggests the stock may have a reasonable combination of expected growth and forward valuation.
Final Score
The center score is calculated as the average of the six category scores:
Final Score = Average of Dividend, Growth, Inventory, Stability, Valuation, and Future
This final score is displayed in the center of the radar chart.
The score color changes dynamically using the indicator’s heatmap color theme:
Low scores appear in purple tones.
Mid scores appear in teal tones.
High scores appear in green/yellow tones.
This makes it easier to visually identify weak, neutral, and strong readings.
Visual Design
The indicator displays a clean snowflake/radar chart directly on the price chart. Each axis represents one financial category.
Visual components include:
Hexagonal grid rings
Axis lines
Category labels
Score markers
Filled snowflake polygon
Dynamic color based on total score
Optional historical comparison snowflake
The snowflake is placed to the right side of the latest bar using the Right Offset setting, so it does not cover the current candles.
Historical Comparison
The indicator includes an optional Historical Snowflake feature.
When enabled, it compares the current snowflake with a previous score profile based on the selected historical lookback.
For example:
Historical Lookback = 252 bars
This can be used as an approximate one-year comparison on daily charts.
The historical snowflake helps users see whether the company’s fundamental profile has improved, weakened, or remained stable over time.
Stock-Only Protection
This indicator is designed for stock symbols only because financial metrics such as dividend yield, payout ratio, EPS, revenue growth, and debt-to-equity are stock/company-specific data.
For non-stock symbols such as:
Gold
Forex pairs
Crypto
Indices
Commodities
the script does not draw the snowflake. Instead, it displays a warning message explaining that financial metrics are not available for those instruments.
This prevents misleading neutral scores from appearing on symbols where company financial data does not exist.
Input Settings
Radar Layout
Right Offset Bars
Moves the snowflake to the right side of the latest candle.
Scale Lookback
Controls the price range used to vertically scale the snowflake on the chart. This does not affect the financial scores.
Width
Controls the horizontal size of the radar.
Height %
Controls the vertical size of the radar relative to the recent price range.
Label Distance
Controls how far the category labels are placed from the radar center.
Visual Styling
Show Grid Rings
Turns the hexagonal background rings on or off.
Show Axis Lines
Turns the center-to-axis guide lines on or off.
Show Axis Labels
Shows or hides the category names and scores.
Show Score Markers
Shows or hides circular markers at each snowflake point.
Dynamic Colors
When enabled, the snowflake color changes based on the total average score.
Marker Size
Controls the size of the score markers.
Historical Comparison
Show Historical Snowflake
Displays a previous score profile for comparison.
Historical Lookback Bars
Defines how far back the comparison should be calculated.
How to Interpret the Snowflake
A strong stock usually shows:
A broad and balanced snowflake
High Growth and Stability scores
Reasonable Valuation score
Improving Future score
A risky or weak stock may show:
A compressed snowflake
Very low Stability
Weak Growth
Expensive Valuation
Poor Future score
An unbalanced company may show a stretched snowflake. For example, a high Growth score but low Stability and Valuation scores may indicate a fast-growing but financially risky or expensive company.
Best Use Cases
This indicator is useful for:
Quick stock screening
Comparing companies visually
Identifying financial strengths and weaknesses
Monitoring changes in a company’s financial profile
Combining fundamentals with technical analysis
Long-term investing and swing-trading research
It is especially helpful when comparing stocks within the same sector.
Important Notes
The indicator uses a generic scoring model. Different sectors naturally have different financial structures.
For example:
Banks do not use inventory metrics in the same way as retail companies.
Utilities often carry higher debt.
Technology companies may have low dividend scores but strong growth.
Retail and manufacturing companies rely more heavily on inventory efficiency.
Because of this, the scores should be interpreted with sector context.
Limitations
This indicator should not be used as a standalone buy or sell signal.
Financial data can be delayed, unavailable, or inconsistent depending on the symbol and exchange. When a financial metric is missing, the script uses a neutral internal fallback value to keep the radar visually stable.
The indicator is best used as a summary and comparison tool, not as a complete valuation model.
Disclaimer
Snowflake Analysis is an educational and research tool. It is not financial advice. Users should always combine this indicator with their own analysis, sector research, risk management, and broader market context before making trading or investment decisions. インジケーター
