Smart Turning Points
See where higher timeframes are turning — directly on your chart
Every experienced trader knows: higher timeframe levels matter. A support level on the weekly chart carries more weight than one on the 5-minute chart. But tracking multiple timeframes means switching charts, losing focus, and hoping you remember where that level was.
Smart Turning Points eliminates this friction. When a weekly swing high forms, you see it on your daily chart. When a monthly level gets tested, you know immediately. The bigger picture stays visible while you work on your trading timeframe.
What It Does
STP detects swing turning points across 10 timeframes simultaneously and displays them on a single chart. Each timeframe runs its own independent swing detection — no shortcuts, no approximations. The result is a layered structural map showing exactly where each timeframe has confirmed a turn.
When multiple timeframes turn at the same bar, their labels stack vertically to reveal structural confluence without cluttering the chart.
10 Simultaneous Timeframes
From intraday to yearly — all running at once:
| Timeframe | Best Chart Resolution |
|---|---|
| 15-Minute | ≤ 15min chart |
| 1-Hour | ≤ 1H chart |
| 4-Hour | ≤ 4H chart |
| Daily | Any chart ≤ Daily |
| 2-Day | Any chart ≤ Daily |
| 3-Day | Any chart ≤ Daily |
| Weekly | Any chart |
| Monthly | Any chart |
| Quarterly | Any chart |
| Yearly | Any chart |
Each timeframe is independently toggleable. A day trader might focus on 15-minute through Daily. A position trader might watch Daily through Yearly. You choose which layers are visible.
The 2-Day and 3-Day timeframes use Gann's consecutive-bar counting method — not calendar dates, but actual bar sequences. This produces different swing points than simply aggregating daily bars into 2-day or 3-day candles.
Features
X-Ray Mode
Color-coded rectangles overlay the chart showing how each time period was classified at any timeframe level. Green for Higher High, Red for Lower Low, White for Outside Bar, Blue for Inside Bar, Yellow for False Outside Bar.
Read market structure like sentences made of color. Sequences tell stories: a run of green rectangles is a trend. A shift from green to red is a reversal. A cluster of blue is consolidation. X-Ray makes this visible at whatever timeframe resolution you choose.
Each timeframe has independent X-Ray controls: fill color, transparency, border color, border width, and optional text labels inside each rectangle. In-progress periods display as dashed rectangles that update in real time.
Five-Tier Tooltip System
Hover over any swing label to see analytics organized into five cumulative tiers — each tier includes everything from the tier below:
| Tier | What It Shows |
|---|---|
| None | Clean chart, no tooltips (for screenshots) |
| Basic | Price, date, range, duration |
| Proportional | Adds percentage move, Px/Tx/Pr/Tr ratios, pattern type |
| Momentum | Adds velocity per bar, velocity per day, volume, Vx/Vr ratios |
| Full | Adds velocity ratios, period bar count, hierarchy number, Gann angle |
Choose the level of detail that matches your analysis. Basic for quick reference. Full for research-grade data on every swing.
Hierarchical Cycle Counting
Every swing is counted within its parent cycle. When a Monthly swing confirms, the Weekly counter resets. When a Weekly confirms, the Daily resets. The result is an odometer that tells you exactly where each timeframe sits within the rhythm of the one above it.
The hierarchy tag reads like an address: Y1.Q2.M3.W1 means first Yearly cycle, second Quarterly swing, third Monthly swing, first Weekly swing. Every swing knows its position in the larger structure.
63-Column CSV Export
Export every swing with its complete dataset to CSV. Each row is a confirmed swing point. Each column captures a dimension of that swing — price, time, volume, ratios, hierarchy position, classification, and more.
The export is designed for external analysis: Python, Excel, R, or any backtesting platform. This transforms STP from a charting overlay into a data pipeline for quantitative research.
Clean Visual Hierarchy
Higher timeframes get more prominent visuals. A monthly turning point stands out more than a daily one. Color coding, label size, and vertical stacking all scale with timeframe significance.
The chart stays readable even with multiple timeframes active because the visual weight reflects structural importance.
Settings Overview
| Setting | What It Controls |
|---|---|
| Timeframe Toggles | Enable/disable each of the 10 timeframes |
| Label Style | How turning point labels appear (timeframe abbreviation, color) |
| X-Ray Mode | Enable per-timeframe structural overlay |
| X-Ray Colors | Fill, border, and transparency per classification type |
| Tooltip Tier | None, Basic, Proportional, Momentum, or Full |
| Hierarchy Display | Show/hide cycle counting in labels |
| CSV Export | Enable data export with configurable columns |
| 2-Day / 3-Day Mode | Gann count-based consecutive bar detection |
For detailed configuration of each setting, see the STP documentation.
Frequently Asked Questions
Why don't I see many labels on my chart? Higher timeframe turns don't happen frequently. On a daily chart watching Weekly turns, you might only see a few labels per month. This is expected — those labels represent significant levels precisely because they don't form constantly.
Does this repaint? No. Turning points are only marked once confirmed by subsequent price action. Once marked, they never move or disappear.
What's the difference between STP and SSI PRO? SSI PRO analyzes swing structure in depth on a single timeframe — ratios, velocity, support/resistance. STP shows where 10 different timeframes are turning simultaneously. SSI PRO goes deep on one timeframe. STP goes wide across ten. They complement each other. See Smart Swing Indicator PRO for details.
What are the 2-Day and 3-Day timeframes? These use Gann's method of counting consecutive bars in the same direction rather than grouping bars by calendar date. Two consecutive daily bars making higher highs and higher lows count as a "2-Day" up swing. This produces structurally meaningful turning points that calendar-based aggregation misses.
Can I use STP on any market? Yes. STP works on stocks, forex, crypto, futures, indices — any instrument available on TradingView. The swing detection logic is universal because it reads price structure, not market-specific patterns.
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