NY ORB, VWAP & EMAsThis release introduces powerful new features focused on session analysis, trade alerts, and clear market visualization to help you better frame the trading day.
✨ New Features
1. Automated Trading Session Identification
The indicator now automatically identifies and highlights two key market periods:
Asian Session High/Low Tracking: Automatically tracks and plots the High and Low prices established during the Asian Trading Session (5:00 PM – 2:00 AM PST). These levels provide critical reference points for potential support and resistance during subsequent sessions.
Power Hour Visualization: A subtle green background highlight is now applied to the chart during the "Power Hour" (6:00 AM – 9:30 AM PST). This visually marks the high-volatility period immediately following the New York Open, helping traders focus on active price action.
⚙️ Technical Changes
Plot Style: The plots for the "Asian High" and "Asian Low" are now plotted using circles (plot.style_circles) for clear visibility and differentiation from standard lines.
Индикаторы и стратегии
FVG BOS SMC Liquidity Analyzer - Ambrosia-Prime - Basic v1.0# 📘 USER GUIDE
# FVG BOS Volume Volatility Entry/TP/SL Liquidity Analyzer
## 🆓 FREE Basic v1.0 | by Ambrosia-Prime
---
## 📋 TABLE OF CONTENTS
1. (#what-is-this-indicator)
2. (#settings-explained)
3. (#understanding-the-tables)
4. (#your-first-trade)
5. (#free-vs-premium)
6. (#faq)
---
## 🎯 WHAT IS THIS INDICATOR?
The **FVG Analyzer** is a professional trading tool based on **Smart Money Concepts (SMC)** and **ICT strategies**. It automatically detects:
✅ **Fair Value Gaps (FVG)** - Market imbalances
✅ **Break of Structure (BOS)** - Trend confirmations
✅ **Multi-Timeframe Analysis** - 4H, 1H, 15m, 5m, 1m
✅ **Entry, Stop-Loss & Take-Profit** - Automatic level calculation
### The Debug Table shows you everything:
| TF | FVG | Touch | Exit | READY | Signal |
|-----|------|-------|------|-------|--------|
| ► 4H| BULL | ✓ | ↑ | ✓ | LONG |
| 1H | BULL | ✓ | ↑ | ✓ | LONG |
| 15m | BULL | ✓ | ↑ | ✓ | LONG |
When all timeframes show **READY** → **ENTRY SIGNAL!**
---
## ⚙️ SETTINGS EXPLAINED
### 👁 DISPLAY SETTINGS
| Setting | Description |
|---------|-------------|
| Show Bullish FVG | Display yellow FVG boxes |
| Show Bearish FVG | Display blue FVG boxes |
| Show BOS lines | Break of Structure lines |
| Show Session Stats | Statistics table (top right) |
| Show Debug Table | Cascade status (bottom left) |
| Show Entry/SL/TP | Entry lines on signals |
### 🎯 BASIC FILTER (Choose ONE)
In the **FREE Version** you can only activate **1 filter** at a time:
| Filter | What it does |
|--------|--------------|
| **None** | No filter active |
| **FVG Size** | Only FVGs larger than X × ATR |
| **Volume** | Only on above-average volume |
| **Volatility** | Only on normal volatility (not too wild) |
| **BOS only with FVG** | BOS only when open FVG exists |
| **Fill Delete** | FVG disappears when completely filled |
> 💎 **PREMIUM:** Use all 15+ filters simultaneously!
### 🔄 TOUCH + EXIT CASCADE
| Setting | Options | Recommendation |
|---------|---------|----------------|
| Cascade Parent TF | 4H, 1H, 15m | **4H** for Swing |
| Confirm EXIT by WICK | ON/OFF | **ON** for more signals |
| Entry Trigger Level | Lowest/Middle/Parent | **Parent TF** |
| Require ALL TFs | ON/OFF | **ON** for quality |
### 📊 TP SETTINGS
| Setting | Description |
|---------|-------------|
| TP Mode | TP1 only / TP1+TP2 / TP1+TP2+TP3 |
| TP1 Risk:Reward | e.g. 1.5 = 1.5× your risk |
| TP2 Multiplier | e.g. 2.0 = 2× TP1 |
| TP3 Multiplier | e.g. 3.0 = 3× TP1 |
---
## 📈 UNDERSTANDING THE TABLES
### 📍 Filter Status (Top Left)
```
┌─────────────────────────────────────┐
│ 💎 │ ALL FILTERS │ = PREMIUM │
├─────────────────────────────────────┤
│ Active Filter │ FVG Size │ ✅ │
│ Session │ EU 🔒 │ 💎 │
│ Status │ ⏳ WAIT │FREE v1.0│
└─────────────────────────────────────┘
```
- **Active Filter:** Your selected filter
- **Session:** Current trading session
- 🔒 = Locked (PREMIUM only)
- ✅ = Unlocked (No Market 22-01 CET)
- **Status:** WAIT / 🟢 LONG / 🔴 SHORT
### 📊 Session Stats (Top Right)
```
┌──────────────────────────────────────────────────────────┐
│ Session │Bull│Bear│Total│Entries│TP│SL│Win%│Profit│
├──────────────────────────────────────────────────────────┤
│ Asia 01-09 │173 │161 │ 334 │ 💎 │💎│💎│ 💎 │PREMIUM│
│ EU 09-15:30 │131 │146 │ 277 │ 💎 │💎│💎│ 💎 │PREMIUM│
│ EU+US 15:30-17:30│ 37 │ 42 │ 79 │ 💎 │💎│💎│ 💎 │PREMIUM│
│ US 17:30-22 │ 95 │106 │ 201 │ 💎 │💎│💎│ 💎 │PREMIUM│
│ No Mkt 22-01 ✅ │ 42 │ 52 │ 94 │ 14 │14│ 0│100%│ 9.8R │
└──────────────────────────────────────────────────────────┘
```
**In FREE you see:**
- ✅ Bull/Bear/Total FVGs for **ALL** sessions
- ✅ Complete stats only for **No Market (22-01 CET)**
- 💎 Other sessions = **PREMIUM**
### 🔍 Debug Table (Bottom Left)
Shows the **live status** of the cascade:
| Symbol | Meaning |
|--------|---------|
| ► | Parent timeframe (selected) |
| BULL/BEAR | FVG direction |
| ✓ (Touch) | Price touched the zone |
| ↑/↓ (Exit) | Price exited the zone |
| ✓ (READY) | Timeframe is ready |
| LONG/SHORT | Signal direction |
---
## 🚀 YOUR FIRST TRADE
### Preface - Why this Indicator is Different
This indicator can filter so **aggressively** that you receive few or almost no signals. **That was exactly my goal!**
I don't need 500 entries per day staring at a chart all day long.
**I only need 1-3 signals per day - and they should work.**
That was the goal. Quality over quantity.
---
### Step-by-Step Guide:
**1. Create a Watchlist**
- Create a watchlist in TradingView
- Add as many charts as your account allows
- Add the indicator to all charts
**2. Set up Alerts**
- Go to the **4H chart**
- Set up the alert:
- **FREE:** Only "No Market" session (22-01 CET)
- **PREMIUM:** All sessions available
- Select "Any Entry Signal"
**3. React to Alert Signal**
- When an alert comes → Switch to the chart
- Check the **Session Stats Table** (top right)
- There you see: Entry, TP, SL, Win%, Profit
**4. Optimize Entry**
- Open the **Settings** (gear icon)
- Adjust the **TP** until you win all trades
- *(Sometimes profit is higher when you lose one trade but have a higher TP)*
- When you've found the best profit result:
- **Take the set TP minus 10-20%**
- *(We don't want to be greedy, but we want to win!)*
**5. Manage Trade**
- The **SL price** is already provided
- The **TP price** adjusts to your settings
- Set your trade accordingly
**6. Done!**
- Start the trade
- Wait for the next signal on another chart
- Repeat!
---
### ⚠️ Important Note
> Remember: A trade can always hit SL!
> Only trade with money you can afford to lose.
>
> I wish you great success and let me know how successful you were.
> **I will read every comment and answer to the best of my ability.**
---
## 💎 FREE vs PREMIUM
### *Coming soon - Currently in Release Testing*
### What you get with FREE:
| Feature | FREE 🆓 |
|---------|---------|
| FVG Detection (all TFs) | ✅ |
| BOS Detection | ✅ |
| Cascade Logic | ✅ |
| Debug Table | ✅ |
| Session Stats Table | ✅ |
| Entry/SL/TP Lines | ✅ |
| Filters | **1 at a time** |
| Trading Sessions | **Only No Market (22-01)** |
| Alerts | **Only No Market** |
### What you get with PREMIUM:
| Feature | PREMIUM 💎 |
|---------|------------|
| Everything from FREE | ✅ |
| **15+ filters simultaneously** | ✅ |
| **All sessions unlocked** | ✅ |
| → Asia (01-09) | ✅ |
| → EU (09-15:30) | ✅ |
| → EU+US Overlap (15:30-17:30) | ✅ |
| → US (17:30-22) | ✅ |
| **Alerts for all sessions** | ✅ |
| **Session-based TP optimization** | ✅ |
| **HTF Zone Confluence Filter** | ✅ |
| **Structure Filter (HH/HL/LH/LL)** | ✅ |
| **RR Filter** | ✅ |
| **Trend EMA Filter** | ✅ |
| **Candle Quality Filter** | ✅ |
| **Cooldown Filter** | ✅ |
| **FVG Age Filter** | ✅ |
### 🚀 PREMIUM EDITION (Exclusive!)
The Premium version has **two different entry logics** - that's why the testing phase is still ongoing.
Finds setups with **10-100% potential!**
---
## ❓ FAQ
### "Why don't I see any entries?"
**Possible reasons:**
1. **Wrong session:** FREE only works 22:00 - 01:00 CET
2. **Cascade not READY:** All TFs must show ✓
3. **Filter blocking:** Check your active filter
4. **Already in trade:** "Single Trade" allows only 1 trade
### "What do the colors mean?"
| Color | Meaning |
|-------|---------|
| 🟡 Yellow | Bullish FVG / Entry line |
| 🔵 Blue | Bearish FVG |
| 🟢 Green | TP line / Positive |
| 🔴 Red | SL line / Negative |
| 🟣 Purple | EU+US Overlap Session |
### "Which timeframe should I use?"
| Your Style | Chart TF | Cascade Parent |
|------------|----------|----------------|
| Scalping | 1m - 5m | 15m |
| Daytrading | 5m - 15m | 1H |
| Swing | 15m - 1H | 4H |
### "Can I change the sessions?"
- **FREE:** No, only No Market (22-01) is available.
- **PREMIUM:** Yes, all sessions + session-based TP values!
---
## 📞 WANT MORE?
### Unlock PREMIUM:
- ✅ All Sessions
- ✅ All Filters
- ✅ 2 Entry Logics
- ✅ Priority Support
### Contact & Support:
📊 **TradingView:** (www.tradingview.com)
---
## 📜 CHANGELOG
### v1.0 FREE (December 2024)
- Initial Release
- Multi-TF FVG Detection
- BOS Detection
- Cascade Logic
- 1 Filter (Dropdown)
- No Market Session (22-01)
- Session Statistics
- Debug Table
---
## ⚠️ DISCLAIMER
This indicator is an **analysis tool** and not financial advice.
Trading involves risks. Past results do not guarantee future profits.
Only trade with capital you can afford to lose.
---
**Good luck with your trading! 🚀**
*Your Ambrosia-Prime*
---
*© 2024 Ambrosia-Prime. All rights reserved.*
Intermarket SSMT Table [Pogiest]General
Intermarket Sequential Smart Money Technique (IMSSMT) is a Quarterly Theory concept that identifies divergences (extreme highs/lows) when comparing different market triads to another market triad in two consecutive quarters.
SSMT involves identifying divergences in a correlated asset triad that occurs consecutively from the previous quarter to the current quarter to predict new phases of price, a shift in market sentiment, and also potential trend reversals. An SSMT divergence occurs when one or two assets makes a new high or low, but the other asset or assets does not, signaling a potential shift in market direction. A Hidden SSMT Divergence occurs when one or two assets’ closing price closes higher or lower than the other one or two assets’ closing price. However, with potential gaps in price, an opening price can also be the extreme when comparing assets for divergences. Hidden SSMT divergence compares the candle bodies while a Standard SSMT divergence compares the highs and lows. Both types of SSMTs are considered to be cracks in correlation and can be used to identify potential new phases of price whether it be a reversal, retracement, consolidation, and continuation.
Credit of concepts/ideas: ICT & TraderDaye
What Makes This Indicator Unique
The indicator table is designed to be used on any symbol the trader is viewing. For example, the indicator is shown on an NQ chart while selecting three symbols in the Forex triad in settings. The indicator will request the separate data from the symbols selected and display the data within the table. The table does not rely on data on the chart being viewed. Instead of switching charts, the table is used to track other market triads for SSMTs (standard & hidden) while viewing other markets simultaneously.
The indicator has the ability to display Standard SSMTs, Hidden SSMTs, or both simultaneously in real-time, tick by tick in the time period selected in a correlated asset triad within the table. Toggle modes for each type of SSMT will run independently (runs when enabled) and therefore, optimizes performance. The user is able to select three different tickers in settings instead of limiting to pairs. In addition, the indicator has “Invert” toggle options to track both Standard and Hidden SSMTs for assets with negative correlations.
How the Indicator Table Works
The indicator functions to track any divergences from the previous quarter to the current quarter. In addition, the indicator tracks the current status even when there are no divergences (see phase column below).
Timeframe Column:
1. Displays up to two different timeframes to monitor.
Asset Columns:
1. Display up to three different assets to monitor.
2. Cells display “Bull” in green background color or “Bear” in red background color showing the current state of each candle and updates in real-time tick by tick.
Phase Column:
Displays the current status from the previous quarter to the current quarter. The status updates in real-time tick by tick.
1. “F/S” indicates there are no current SSMT divergences between the previous quarter to the current quarter and all assets have not swept the previous quarter, a “failure swing”.
2. “HH” is displayed when all assets have swept the previous quarter’s extreme high. (Higher High)
3. “LL” is displayed when all assets have swept the previous quarter’s extreme low. (Lower Low) See screenshot with drawings below.
4. SSMT indicates there is an SSMT from the previous quarter to the current quarter. Red background is a bearish SSMT (divergence at the highs) or green background is a bullish SSMT (divergence at the lows). If the SSMT becomes invalid (i.e. the last asset sweeps the extreme high/low), then the table will update to display either “HH” or “LL” depending on the extreme it swept. See screenshot with drawings below.
5. “Both” indicates there are SSMT divergences at both the extremes highs and lows. If an SSMT on one side gets deleted, then the cell will automatically update to display the SSMT that is still intact. See screenshot with drawings below.
Invert Toggle Option:
When this setting is turned on, the asset column cells will display the inverted color of the live chart to show assets are in-sync. It will track the inverted swing points for SSMTs, higher highs, lower lows, etc. For example, if EUR and GBP are making lower highs, while DXY (Inverted toggle on), makes a lower low on the actual live chart, it will display “SSMT”.
NOTE:
Scanning function per timeframe to detect SSMTs:
Weekly HTF: Scans 4HR bars
Daily HTF: Scans 1HR bars
6HR/4HR HTF: Scans 15m bars
1HR HTF: Scans 5m bars
5m HTF: Scans 1m bars
The script has fixed lookback periods for bars to ensure the appropriate data is being captured. The higher the timeframe the user selects in settings while viewing on an extremely lower timeframe, the indicator may give inaccurate readings:
Recommended Chart Timeframes:
For best performance and accuracy, view your chart on a timeframe close to or lower than the scan timeframe:
Weekly HTF → View on 1H-4H chart
Daily HTF → View on 1H-4H chart
6HR/4HR HTF → View on 5m-15m chart
90M HTF → View on 3m-15m chart
1H HTF → View on 1m-15m chart
The indicator will attempt to scan further back if needed, but extremely low chart timeframes (e.g., 1m) with high HTF (e.g., Weekly) may still have limitations.
In addition, the indicator bases the SSMT off the previous quarter’s time range to the current quarter’s time range. If there are discrepancies in the time ranges (start to end of higher timeframe period selected), the SSMTs may display differently than what is viewed on the chart. For example, indices open at 18:00 est on a new trading day, so the time ranges matches throughout the day. However, in Forex, EUR and GBP opens at 17:00 est while DXY opens later, so the time ranges may be off (i.e. 6 hour timeframe). For best use, select time periods that matches throughout the day.
Usage
Traders can use both types of SSMT divergences to anticipate potential reversals in points of interest such as higher timeframe swing points, supply/demand zones, higher timeframe imbalances, key levels, etc. This indicator can also be beneficial in identifying cracks in correlation via Hidden SSMT when there are no divergences off the highs and lows. Divergences can come in different forms relating to Intermarket SSMT. For example, if one market triad is all making lower lows while the other market triad is making higher highs, this can be deemed a divergence between the two markets. Another example would be one market triad all makes lower lows while another market triad makes a bullish SSMT. This can potentially signal a bullish move up. SSMT divergences (standard and hidden) can be used as a confirmation tool with other confluences to identify trend direction with respect to points of interest, higher timeframe order-flow, lower timeframe order-flow, etc. In addition, having both a Standard SSMT and Hidden SSMT divergence display could potentially signal a reversal. It is up to the trader to gauge the price action at the time.
Settings
1. Choose up to three different assets to monitor.
Note: If only two are selected, the indicator will only display the two selected and compare the two assets for divergences. If one is selected, a warning sign will be displayed to select at least two assets.
2. Choose up to two different timeframes. Option to deselect timeframes.
3. Enable/disable standard or hidden SSMT.
4. Option to enable alerts. Alerts include the different phases in the table (i.e. SSMT, HH, LL, and Dual SSMT [both standard & hidden) for each timeframe.
5. Toggle option to show/hide the table. Toggle option to show/hide the “Title Row” which is the first row at the top of the table.
6. Adjust the table positioning to be displayed on the chart.
7. Option to change text size in the table cells. This will also increase/decrease the size of the table.
Risk Disclaimer
This indicator is for educational and informational purposes only and does not constitute financial advice. All trading and investment decisions remain solely the responsibility of the user.
Trading involves a high degree of risk, and past performance is not indicative of future results.
Always conduct your own research and consult with a qualified financial professional before making any trading decisions.
By using this indicator, users acknowledge they understand these risks and accept full responsibility for their trading decisions and outcomes.
Student Wyckoff Tick Volume Proxy ## STUDENT WYCKOFF Tick Volume Proxy (v6) — “Activity Volume” When Real Volume Is Missing
Many instruments (especially **indices, synthetic composites, and custom baskets**) do **not** provide real exchange volume. This indicator solves that problem by building a **Tick Activity Proxy** — a simple, visual “how active was this bar” measure — using **lower timeframe price movements inside each bar**.
### What this indicator is (in plain words)
Think of one candle on your chart as a **big box** (for example, a 1-hour candle). Inside that box there are many smaller candles (for example, 1-minute or 1-second).
This script “looks inside the box” and measures **how much the price moved and how often it changed**, then plots the result as a histogram — similar to volume bars, but based on **price activity** instead of real traded volume.
> Important: This is **NOT real trade volume**.
> It is a **proxy** (an approximation) of market activity when volume is unavailable.
---
## How it works
The proxy is computed from **lower timeframe (LTF)** data using intrabar changes:
1. The script requests lower timeframe values inside each current bar.
2. It sums the intrabar movement or counts intrabar price changes (depending on your mode).
3. The result is plotted as a column histogram.
---
## Settings explained (step-by-step)
### 1) Source
* **Auto**
Uses real `volume` if the instrument has it. If volume is missing/zero (typical for indices), it automatically switches to the proxy.
* **Exchange Volume**
Always uses real volume (only useful on instruments where volume exists).
* **Proxy (Tick Activity)**
Always uses the proxy (best for indices and composites).
### 2) Proxy Method (How to calculate)
You can choose one of three proxy styles:
* **Ticks (count)**
Counts how many times the LTF close changed inside the bar.
Think: “How many small steps did price take?”
* **Movement (abs change)**
Sums the absolute intrabar price changes: `sum(|Δclose|)` on the LTF.
Think: “How much total distance did price walk, even if it went back and forth?”
* **Movement (in ticks)**
Same as “abs change”, but converted into **minimum price steps** using the instrument’s tick size (`mintick`).
Think: “How many minimal price steps (ticks) were walked in total?”
**Practical tip:**
* If you only care about “busy vs quiet” → try **Ticks (count)**.
* If you care about “how strong the internal movement was” → try **Movement (in ticks)**.
### 3) LTF for Proxy (Lower timeframe microscope)
This is your “zoom level” for looking inside each bar.
* Smaller LTF (e.g., **1S**) = more detail, more accurate intrabar picture, but heavier on performance.
* Larger LTF (e.g., **1m / 5m**) = smoother and lighter, but less detail.
**Rule:** LTF must be **lower** than your chart timeframe.
Example setups:
* Chart **H1** → LTF **1S / 5S / 15S / 1m**
* Chart **H4** → LTF **15S / 1m / 5m**
* Chart **D1** → LTF **15m / 1h** (avoid 1S on D1 unless you really know what you’re doing)
### 4) LTF Elements Limit (Performance protection)
If you use a very small LTF on a large chart timeframe, the intrabar array can become huge.
This limit prevents slowdowns by processing only the most recent N intrabar points per bar.
**Tip:** On H1 with 1S (3600 points) you are typically fine.
On D1 with 1S (86,400 points) this becomes heavy and may get truncated by the limit.
### 5) Non-repaint mode (Fix on bar close)
When enabled, the histogram value is **locked only when the bar closes**.
This prevents the “moving target” effect during the current forming candle.
---
## How to read the histogram
* **Higher bar** = higher intrabar activity (price moved more / changed more often)
* **Lower bar** = calmer, quieter bar (less internal movement)
This is especially useful on:
* indices with missing volume
* synthetic composites/baskets
* custom-built market proxies
---
## Limitations (honest and important)
* This is **not real traded volume** and cannot replicate actual exchange volume.
* Results depend heavily on your chosen **LTF** and the availability/quality of LTF data.
* Very small LTF (like 1S) on large chart timeframes can cause performance issues or truncation due to the safety limit.
---
## Suggested starting presets
* **Composite index on H1:** Source=Auto, Proxy=Movement (in ticks), LTF=1S or 15S
* **Composite index on D1:** Source=Auto, Proxy=Movement (in ticks), LTF=15m or 1h
* **If you want maximum simplicity:** Proxy=Ticks (count), LTF=1m
ES1! H1 Stats+ES1! H1 Stats - Detailed Prob & Excursion Indicator
Overview
ES1! H1 Stats - Detailed Prob & Excursion is a specialized statistical overlay indicator for TradingView, tailored for E-mini S&P 500 futures (ES1!) on a 1-hour framework. It provides real-time insights into the probability of price returning to the hourly open after sweeping the previous hour’s high (PHH) or previous hour’s low (PHL), based on historical data segmented by hour (0–23) and 20-minute intervals. The indicator visualizes these sweeps with lines, labels, circles, background fills, and “excursion zones” (also called “Magic Boxes”) that highlight median/mean extensions post-sweep, along with percentile lines (75th / 90th / 95th) for gauging potential “pain” or extreme moves. This tool is designed for intraday S&P 500 traders focusing on liquidity sweeps and mean-reversion behavior, helping to quantify edge using empirical probabilities and excursion statistics.
The data is hardcoded from extensive historical analysis of ES1! behavior (e.g., probabilities ranging roughly from ~7% to ~91%, with sample sizes up to 2000+ per segment), making it a backtested reference rather than a dynamic learning model. It emphasizes visual clarity during active hours, with options to filter for Regular Trading Hours (RTH: 09:00–15:59 ET) or high-probability (>70%) events only. Note: This is an educational tool for analyzing market structure; it does not predict future performance or provide trading signals/advice. Past data does not guarantee future results, and users should backtest on current conditions (as of December 2025 data availability) and use at their own risk, in compliance with TradingView’s house rules.
Key Features
• Sweep Detection & Probability Labels: Identifies when price breaks PHH (upside) or PHL (downside), displaying a centered label with probability of returning to the hourly open, sample size (N), time of sweep, and a checkmark (✅) if the open is retested post-sweep.
• Visual Lines & Markers: Draws hourly open (h.o.), PHH, and PHL lines with customizable styles/colors; adds small circles on sweep bars for quick spotting.
• Breakout→Open Background Fill: Shaded zone from sweep bar until price returns to open, visualizing extension duration and retracement.
• Excursion (Pain) Zone - “Magic Box”: Post-sweep box showing median/mean extension percentages, colored dynamically by probability (green high, orange mid, red low); includes dashed lines for 75th/90th/95th percentiles to mark statistical extremes.
• Time-Segmented Data: Probabilities and excursions vary by hour (0–23) and 20-min segments (0–19 min: _0, 20–39: _1, 40–59: _2), capturing intraday nuances (e.g., higher probs in early/late hours).
• Filters for Focus: RTH-only mode hides non-session elements; high-prob-only shows >70% events to reduce noise.
• Alerts: Triggers on PHH/PHL sweeps with messages for chart checks.
How It Works
• Data Foundation: Uses pre-computed maps for probabilities (prob_high_taken/prob_low_taken), sample sizes, and excursions (mean, median, p75/p90/p95 as percentages of open). Data is initialized on the first bar via f_init_high_data() and f_init_low_data(), covering 24 hours with 3 segments each (e.g., key "9_1" for 09:20–09:39). Probabilities represent historical likelihood of price returning to open after sweep; excursions quantify average/rare extensions (e.g., 0.156% mean = 0.156% of open price).
• Period Detection: On new 1H bars (new_period_bar), resets visuals, draws lines for open/PHH/PHL extending 1 hour forward, and labels if enabled. Uses request.security on standard ticker for real OHLC, bypassing chart transformations (e.g., Heikin Ashi).
• Sweep Logic: On each bar, checks if real high > PHH or real low < PHL. If so, fetches segment-specific data (hour + floor(minute/20)), displays probability label centered mid-hour. Skips if filtered (RTH-only or <70% prob).
• Excursion Visualization: If enabled, draws “Magic Box” from 1-min to 58-min into the hour, bounded by mean/median levels (top/bottom adjusted for high/low sweep). Adds percentile lines with labels (e.g., “75%”) at right end. Box color reflects prob strength for quick bias assessment.
• Retest Check: Monitors for open retest post-sweep (high/low cross open, or gap scenarios from prev bar). Adds ✅ to label if hit on subsequent bars (skips sweep bar to avoid false positives). Stops background fill on retest or at 58-min mark.
• Background Fill: Activates on sweep, shades until retest, using user color.
• Cleanup & Performance: Manages labels in arrays, clears on new periods; no excess drawing beyond max counts (500 lines/labels/boxes).
This setup blends statistical backtesting with real-time visualization: hardcoded data provides empirical probabilities/excursions (reducing subjectivity in breakouts), while dynamic elements (lines, fills, boxes) overlay structure on the chart. It helps ES traders assess if a sweep is “high-edge” (e.g., >70% probability of reverting) or likely to run (low probability, high excursion), pairing historical context with current price action.
Settings and Customization
Inputs are grouped for ease:
Settings:
o Show RTH Only (9:00–15:59): Restricts to main session (default: false; tooltip: for RTH-focused stats).
o Show High Prob Only (>70%): Filters low-prob sweeps visually (default: false; tooltip: highlights confidence).
Visuals:
o Show Line Labels: Toggle “h.o.” / “phh” / “phl” (default: true).
o Period Open Line Color: Gray 50% (default).
o Previous High/Low Line Colors: Gray 100% (default).
o Open Line Style/Width: Dotted/1 (default; options: Solid/Dotted/Dashed).
Breakout→Open Background:
o Show Breakout→Open Background: Toggle fill (default: true).
o Fill Color: Teal 85% (default).
Breakout Circles:
o Show Breakout Circles: Toggle (default: true).
o PHH/PHL Break Circle Colors: White 20% (default).
Info Label Style:
o Text Size: Small (default; options: Auto/Tiny/Normal/Large/Huge).
o Label Text Color: White (default).
o Low/Mid/High Probability Colors: Red 20% / Orange 20% / Green 20% (default).
Excursion (Pain) Zone:
o Show Excursion Zone: Toggle Magic Box (default: true).
o Excursion Box Color: Gray 75% (default; dynamic overrides).
o 75th/90th/95th Percentile Lines: Orange 30% / Red 30% / Dark Red 100% (default).
No additional tables/plots; all elements are lines/labels/boxes for overlay focus.
Usage Tips
• Breakout Trading: Watch for sweeps with high probability (>70%, green label) as potential fades back to open; low probability (red) may signal runs—use the excursion box for targets (e.g., exit at 90th percentile for extremes).
• Time Awareness: Probabilities often peak in key liquidity windows and drop in quieter hours; segments capture momentum shifts (e.g., _2 often lower prob).
• RTH Focus: Enable for cleaner stats during high-liquidity session hours; disable for a 24-hour view.
• Visual Filtering: Use high-prob-only in volatile conditions to reduce noise; combine with volume or other confluence tools for confirmation.
• Alerts Integration: Set TradingView alerts on sweeps; check label for probability/N before acting.
• Chart Setup: Best on 1H or lower ES1! charts; adjust text size for readability on smaller screens.
• Backtesting: Manually review historical sweeps against data maps to validate; update hardcoded values if new data emerges (as of 2025).
Limitations
• Fixed Data: Hardcoded stats may not reflect recent market changes (e.g., post-2025 regime shifts); not adaptive.
• Reactive Only: Detects sweeps after they occur; no predictive signals.
• Timeframe Specific: Locked to 1H logic; may not translate to other assets/timeframes without recoding data.
• Visual Clutter: On busy charts, labels/boxes may overlap—toggle selectively.
• No Live Stats: Sample sizes are historical; real-time N/prob not updated.
• Gaps & Extremes: Handles gaps in retest logic, but rare events (e.g., macro news) may exceed the 95th percentile.
Disclaimer
This indicator is for informational and educational purposes only. Trading involves significant risk of loss and is not suitable for all investors. The hardcoded data represents past E-mini S&P 500 futures (ES1!) performance and does not guarantee future outcomes. No claims of profitability are made—results depend on market conditions, user strategy, and risk management. Consult a financial advisor before trading, and backtest extensively. Abiding by TradingView rules, this tool provides no investment recommendations.
6B1! H1 Stats+6B1! H1 Stats - Detailed Prob & Excursion Indicator
Overview
6B1! H1 Stats - Detailed Prob & Excursion is a specialized statistical overlay indicator for TradingView, tailored for British Pound futures (6B1!) on a 1-hour framework. It provides real-time insights into the probability of price returning to the hourly open after sweeping the previous hour’s high (PHH) or previous hour’s low (PHL), based on historical data segmented by hour (0–23) and 20-minute intervals. The indicator visualizes these sweeps with lines, labels, circles, background fills, and “excursion zones” (also called “Magic Boxes”) that highlight median/mean extensions post-sweep, along with percentile lines (75th / 90th / 95th) for gauging potential “pain” or extreme moves. This tool is designed for intraday British Pound traders focusing on liquidity sweeps and mean-reversion behavior, helping to quantify edge using empirical probabilities and excursion statistics.
The data is hardcoded from extensive historical analysis of 6B1! behavior (e.g., probabilities ranging roughly from ~7% to ~91%, with sample sizes up to 2000+ per segment), making it a backtested reference rather than a dynamic learning model. It emphasizes visual clarity during active hours, with options to filter for Regular Trading Hours (RTH: 09:00–15:59 ET) or high-probability (>70%) events only. Note: This is an educational tool for analyzing market structure; it does not predict future performance or provide trading signals/advice. Past data does not guarantee future results, and users should backtest on current conditions (as of December 2025 data availability) and use at their own risk, in compliance with TradingView’s house rules.
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Key Features
• Sweep Detection & Probability Labels: Identifies when price breaks PHH (upside) or PHL (downside), displaying a centered label with probability of returning to the hourly open, sample size (N), time of sweep, and a checkmark (✅) if the open is retested post-sweep.
• Visual Lines & Markers: Draws hourly open (h.o.), PHH, and PHL lines with customizable styles/colors; adds small circles on sweep bars for quick spotting.
• Breakout→Open Background Fill: Shaded zone from sweep bar until price returns to open, visualizing extension duration and retracement.
• Excursion (Pain) Zone - “Magic Box”: Post-sweep box showing median/mean extension percentages, colored dynamically by probability (green high, orange mid, red low); includes dashed lines for 75th/90th/95th percentiles to mark statistical extremes.
• Time-Segmented Data: Probabilities and excursions vary by hour (0–23) and 20-min segments (0–19 min: _0, 20–39: _1, 40–59: _2), capturing intraday nuances (e.g., higher probs in early/late hours).
• Filters for Focus: RTH-only mode hides non-session elements; high-prob-only shows >70% events to reduce noise.
• Alerts: Triggers on PHH/PHL sweeps with messages for chart checks.
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How It Works
• Data Foundation: Uses pre-computed maps for probabilities (prob_high_taken/prob_low_taken), sample sizes, and excursions (mean, median, p75/p90/p95 as percentages of open). Data is initialized on the first bar via f_init_high_data() and f_init_low_data(), covering 24 hours with 3 segments each (e.g., key "9_1" for 09:20–09:39). Probabilities represent historical likelihood of price returning to open after sweep; excursions quantify average/rare extensions (e.g., 0.156% mean = 0.156% of open price).
• Period Detection: On new 1H bars (new_period_bar), resets visuals, draws lines for open/PHH/PHL extending 1 hour forward, and labels if enabled. Uses request.security on standard ticker for real OHLC, bypassing chart transformations (e.g., Heikin Ashi).
• Sweep Logic: On each bar, checks if real high > PHH or real low < PHL. If so, fetches segment-specific data (hour + floor(minute/20)), displays probability label centered mid-hour. Skips if filtered (RTH-only or <70% prob).
• Excursion Visualization: If enabled, draws “Magic Box” from 1-min to 58-min into the hour, bounded by mean/median levels (top/bottom adjusted for high/low sweep). Adds percentile lines with labels (e.g., “75%”) at right end. Box color reflects prob strength for quick bias assessment.
• Retest Check: Monitors for open retest post-sweep (high/low cross open, or gap scenarios from prev bar). Adds ✅ to label if hit on subsequent bars (skips sweep bar to avoid false positives). Stops background fill on retest or at 58-min mark.
• Background Fill: Activates on sweep, shades until retest, using user color.
• Cleanup & Performance: Manages labels in arrays, clears on new periods; no excess drawing beyond max counts (500 lines/labels/boxes).
This setup blends statistical backtesting with real-time visualization: hardcoded data provides empirical probabilities/excursions (reducing subjectivity in breakouts), while dynamic elements (lines, fills, boxes) overlay structure on the chart. It helps British Pound traders assess if a sweep is “high-edge” (e.g., >70% probability of reverting) or likely to run (low probability, high excursion), pairing historical context with current price action.
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Settings and Customization
Inputs are grouped for ease:
1. Settings:
o Show RTH Only (9:00–15:59): Restricts to main session (default: false; tooltip: for RTH-focused stats).
o Show High Prob Only (>70%): Filters low-prob sweeps visually (default: false; tooltip: highlights confidence).
2. Visuals:
o Show Line Labels: Toggle “h.o.” / “phh” / “phl” (default: true).
o Period Open Line Color: Gray 50% (default).
o Previous High/Low Line Colors: Gray 100% (default).
o Open Line Style/Width: Dotted/1 (default; options: Solid/Dotted/Dashed).
3. Breakout→Open Background:
o Show Breakout→Open Background: Toggle fill (default: true).
o Fill Color: Teal 85% (default).
4. Breakout Circles:
o Show Breakout Circles: Toggle (default: true).
o PHH/PHL Break Circle Colors: White 20% (default).
5. Info Label Style:
o Text Size: Small (default; options: Auto/Tiny/Normal/Large/Huge).
o Label Text Color: White (default).
o Low/Mid/High Probability Colors: Red 20% / Orange 20% / Green 20% (default).
6. Excursion (Pain) Zone:
o Show Excursion Zone: Toggle Magic Box (default: true).
o Excursion Box Color: Gray 75% (default; dynamic overrides).
o 75th/90th/95th Percentile Lines: Orange 30% / Red 30% / Dark Red 100% (default).
No additional tables/plots; all elements are lines/labels/boxes for overlay focus.
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Usage Tips
• Breakout Trading: Watch for sweeps with high probability (>70%, green label) as potential fades back to open; low probability (red) may signal runs—use the excursion box for targets (e.g., exit at 90th percentile for extremes).
• Time Awareness: Probabilities often peak in key liquidity windows and drop in quieter hours; segments capture momentum shifts (e.g., _2 often lower prob).
• RTH Focus: Enable for cleaner stats during high-liquidity session hours; disable for a 24-hour view.
• Visual Filtering: Use high-prob-only in volatile conditions to reduce noise; combine with volume or other confluence tools for confirmation.
• Alerts Integration: Set TradingView alerts on sweeps; check label for probability/N before acting.
• Chart Setup: Best on 1H or lower 6B1! charts; adjust text size for readability on smaller screens.
• Backtesting: Manually review historical sweeps against data maps to validate; update hardcoded values if new data emerges (as of 2025).
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Limitations
• Fixed Data: Hardcoded stats may not reflect recent market changes (e.g., post-2025 regime shifts); not adaptive.
• Reactive Only: Detects sweeps after they occur; no predictive signals.
• Timeframe Specific: Locked to 1H logic; may not translate to other assets/timeframes without recoding data.
• Visual Clutter: On busy charts, labels/boxes may overlap—toggle selectively.
• No Live Stats: Sample sizes are historical; real-time N/prob not updated.
• Gaps & Extremes: Handles gaps in retest logic, but rare events (e.g., macro news) may exceed the 95th percentile.
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Disclaimer
This indicator is for informational and educational purposes only. Trading involves significant risk of loss and is not suitable for all investors. The hardcoded data represents past British Pound futures (6B1!) performance and does not guarantee future outcomes. No claims of profitability are made—results depend on market conditions, user strategy, and risk management. Consult a financial advisor before trading, and backtest extensively. Abiding by TradingView rules, this tool provides no investment recommendations.
Futures Sizing Calculator (NQ,MGC,MES)Clean simple, risk indicator that will allow you to see risk before entering trade. This will allow you to use it on MES, MGC and MNQ.
For any ideas or improvements, don't hesitate to contact me.
BoS/CHoCH + FakeoutRMI • BoS / CHoCH + Fakeout Detector
This indicator identifies true market structure breaks based on Break of Structure (BoS) and Change of Character (CHoCH), combined with a precise Fakeout / Liquidity Sweep detector to filter false breakouts.
The logic is built on Smart Money Concepts (SMC) and ICT market structure, using close-confirmation only instead of wick-based signals.
Key Features
BoS & CHoCH Detection (Major Structure)
– Clear distinction between trend continuation (BoS) and trend reversal (CHoCH)
– Bullish and bearish structures are visually separated by color
Fakeout / Liquidity Sweep Detection
– Detects wick sweeps above highs and below lows
– Fakeouts are automatically removed once a valid structure break occurs
– No overlap between Fakeouts and BoS / CHoCH
Close-Only Confirmation (Institutional Logic)
– Structure is considered broken only after candle close
– Reduces noise and false signals caused by stop hunts
Split-Line Design (Clean Chart)
– Structure lines with centered text gap
– Extremely clean and readable, even on lower timeframes
Potential Next Break (Optional)
– Displays potential next major highs and lows
– Ideal for liquidity targeting and trade planning
Why This Indicator?
This tool is designed for traders who:
want non-repainting structure logic
focus on price action & market structure, not lagging indicators
need a clear distinction between fakeouts and real breaks
trade using SMC / ICT concepts
Perfect for scalping, day trading, and swing trading across Forex, Indices, Crypto, and Commodities.
Disclaimer
This indicator is an analysis tool, not an automated trading system.
For best results, combine it with Order Blocks, Fair Value Gaps (FVG), Liquidity Pools, and session bias.
One-Sided Hodrick-Prescott FilterTechnical & Mathematical Architecture
This indicator represents a significant departure from standard Moving Averages or traditional Hodrick-Prescott (HP) filter implementations found on Trading View. It utilizes a State-Space Model approach to decompose time-series data into trend and cyclical components, solved recursively via a Kalman Filter (Forward Pass) and a Rauch-Tung-Striebel (RTS) Smoother (Backward Pass). Furthermore, it introduces a proprietary Maximum Likelihood Estimation (MLE) loop to adapt the smoothing parameter (λ) dynamically in response to market regimes.
1.1 The State-Space Formulation
The standard HP filter minimizes a specific loss function involving the sum of squared deviations and the sum of squared second differences. While typically solved via batch matrix inversion, this script reformulates the problem as a Local Linear Trend (LLT) model, a stochastic structural model defined by:
Measurement Equation:
y = μ + ε
(Where ε is normally distributed noise)
State Transition Equations:
μ = μ + β + η
β = β + ζ
Where μ represents the stochastic level (trend) and β represents the stochastic slope (drift). The crucial link to the HP filter is the signal-to-noise ratio. By setting the variance of η to 0 (smooth trend) and defining λ as the ratio of measurement variance to slope variance, the Kalman Filter solution converges exactly to the One-Sided HP Filter.
1.2 The Forward Pass: Kalman Filter
The script executes a recursive estimation loop for real-time (causal) filtering:
Prediction Step: Projects the state mean and error covariance forward based on the transition matrix.
Innovation: Calculates the measurement residual (v = y - predicted y).
Update Step: Computes the Kalman Gain. The posterior state is updated based on how much the prediction missed the actual price.
Stability: The covariance update utilizes the Joseph Form subtraction to ensure the covariance matrix remains positive semi-definite, preventing numerical instability inherent in high-precision floating-point calculations over long durations.
1.3 Adaptive λ via Maximum Likelihood
Standard filters use a static λ (e.g., 1600 for quarterly data), which fails in crypto/FX markets exhibiting changing volatility. This script implements an Adaptive ML Loop.
The Kalman Filter assumes innovations are normally distributed with a specific theoretical variance (S). We compute a running variance ratio test:
Ratio = Actual Innovation Variance / Theoretical Variance
Ratio > 1: The model is "surprised" by volatility. The filter is under-fitting. The script dynamically decreases λ to increase responsiveness (reduce lag).
Ratio < 1: The model is over-fitting noise. The script increases λ to enforce a smoother trend.
This allows the filter to function as a low-lag trend follower during impulses and a robust noise filter during consolidation, automatically.
1.4 The Backward Pass: Rauch-Tung-Striebel (RTS) Smoother
This is the most complex feature of the script. While the Forward Pass provides the optimal estimate based on past data, the Backward Pass computes the optimal estimate based on all data.
The RTS algorithm runs purely on historical arrays stored in memory:
It iterates backward from the last bar to the past. It computes a "Smoother Gain" matrix based on future information. It updates the past estimates to correct them based on what happened afterwards. This results in a Minimum Mean Squared Error (MMSE) estimator. Note: This smoothed line is for analytical hindsight and back testing theoretical limits; it is distinct from the real-time filtered line used for live signaling.
Usage Guide:
This indicator is designed for precision trend following and mean-reversion trading. It separates the market price into a Trend Component (Signal) and a Cycle Component (Noise/Oscillation).
The Two Trend Lines:
The Filtered Trend (Real-Time): This is the filled/shaded line on your chart. It calculates the trend using only past data. It does not repaint. Use this for entering and exiting live trades.
Green Fill: Price is above the trend (Bullish bias).
Red Fill: Price is below the trend (Bearish bias).
The Smoothed Trend (Hindsight): (Optional, enabled via settings). This is the "God mode" line. It uses future data to show you exactly where the trend was.
WARNING: This line repaints. Do not trade the tip of this line. Its purpose is to show you the ideal path for training your eye or optimizing parameters.
Mean Reversion Signals:
The script calculates the "Cycle," which is the percentage deviation of price from the HP Trend.
Bands: The Upper and Lower bands represent the Cycle Threshold.
Long Signal (L): Triggered when the Cycle is Oversold (below lower band) AND begins to turn up, while the Filtered Drift (slope) is positive. This suggests a "dip buy" in an uptrend.
Short Signal (S): Triggered when the Cycle is Overbought (above upper band) AND begins to turn down, while the Filtered Drift is negative. This suggests selling a rally in a downtrend.
Adaptive Lambda Panel:
Enable the "Lambda Panel" to see the engine under the hood.
Rising Lambda (Blue): The market is noisy or consolidating. The filter is becoming "stiffer" to ignore the chop.
Falling Lambda (Orange): The market is trending impulsively. The filter is becoming "looser" to track the price closely and reduce lag.
Strategy: You can use low Lambda values as a confirmation of high-volatility breakout regimes.
Performance Table:
A dashboard in the bottom right corner displays the efficiency of the Kalman Filter:
MSE Filtered vs. Smoothed: Shows the Mean Squared Error of the real-time prediction vs. the hindsight-optimal smooth.
Improvement %: A higher percentage indicates that the RTS Smoother is extracting significantly more noise than the real-time filter (common in choppy markets).
Kalman Gains (K1, K2): These display the current weight the filter assigns to new price data for updating the Level and Slope respectively.
Summary of Settings
Base Lambda: The starting stiffness. Higher = smoother (long-term trend). Lower = responsive (short-term trend).
Adaptation Speed: Recommended between 0.01 and 0.05. Controls how fast λ reacts to volatility shocks.
Smoother Lookback: How far back (in bars) the RTS algorithm re-optimizes the historical line.
Best Practice: Use the Filtered Trend for execution. Use the Smoothed Trend to analyze past price action and determine if your Base Lambda setting is appropriate for the asset's volatility profile.
AMN Zones The AMN Model Indicator streamlines your trading by:
-Displaying all active AMN 6 tap opportunities directly on the chart.
-Helps you analyze structure and establish bias
-Highlights 50% of the optimal zone for precision entries.
Additionally, it marks setups that haven’t been mitigated and provides real-time alerts whenever a new setup presents itself. Ideal for traders aiming for clarity, consistency, and efficiency in identifying high-probability zones for entries and exits.
PFA_Futures-Spot Divergence IndicatorPFA Futures-Spot Divergence Indicator™
The PFA Futures-Spot Divergence Indicator™ is a proprietary analytical tool designed to provide traders with real-time insights into the pricing gap between futures contracts and their underlying spot indices. By measuring the premium or discount for key indices, the indicator highlights potential market sentiment, arbitrage opportunities, and short-term positioning pressure.
Unlike conventional indicators that focus on price trends alone, this tool emphasizes inter-market dynamics, showing how futures are behaving relative to the cash market. It calculates the differential for selected indices and visualizes it via:
Line plots: showing the live futures-spot gap
Color-coded zones: highlighting premium (positive) vs discount (negative)
Dashboard values: indicating the exact spread and relative intensity
Key Benefits:
Detect market overbought/oversold conditions due to excessive premium or discount
Identify potential arbitrage or rollover opportunities
Gauge market participant sentiment in real time
Complement trend, momentum, and volatility strategies
Use Cases:
NIFTY, BANKNIFTY, and other major Indian indices
Short-term trading and hedging strategies
Risk management and intraday market positioning
Disclaimer: The indicator is for analytical and educational purposes only. It does not provide buy/sell signals or guarantee future returns. Traders should apply independent judgment and proper risk management before taking positions.
Whale Flow PRO [Institutional Grade Trend System]Whale Flow PRO is an advanced market analysis algorithm designed to align retail traders with institutional liquidity cycles. Unlike standard lagging indicators, Whale Flow focuses on detecting the underlying phase of the market: Liquidity Building (Consolidation) vs. Institutional Expansion (Whale Runs).
This tool was engineered to solve the biggest problem in trading: getting trapped in choppy markets ("Whipsaws") and missing the true explosive moves.
⚙️ How It Works
The algorithm utilizes a proprietary volatility-adjusted volume model combined with dynamic price-action pivots. By analyzing the rate of change relative to historical volatility compression, the script identifies key "Pivot Lines" where liquidity is likely to flow.
Trend Filtering: It automatically filters out noise by calculating a custom "Consolidation Index". When the market is in a building phase, signals are suppressed to protect capital.
Whale Runs: When volatility expands beyond a specific threshold in the direction of the dominant trend, the system triggers a "Whale Run" mode, signaling high-probability entry zones.
📊 Key Features
Smart Dashboard (HUD): A real-time professional panel displaying the current Trend Direction, Market Phase (Run vs. Build), and active Pivot Levels.
Dynamic Heatmap: A visual ribbon at the bottom of the chart that tracks the historical strength of the trend flow.
Context-Aware Coloring:
Neon Green: Confirmed Bullish Flow (Whale Run).
Neon Red: Confirmed Bearish Flow (Dump).
Silver/Gray: Consolidation Zone (Safety Mode - No Trades).
Protection System: The "Liquidity Build" filter prevents entries during sideways movement, significantly increasing the win rate of the signals.
🔒 Access
This is an Invite-Only script dedicated to professional traders and community members. It is strictly protected to maintain the edge of its users.
To obtain access: Please visit the link in my signature or send me a private message (PM) here on TradingView for licensing details.
Disclaimer: This tool is for informational purposes only and does not constitute financial advice. Past performance (even of whales) is not indicative of future results.
PFA Regime & Structure EnginePFA बाज़ार दर्शन™ is a proprietary market regime and structure indicator designed to provide traders with a comprehensive view of market dynamics. Unlike traditional indicators that focus solely on price direction, this tool evaluates both momentum and structural context to determine the underlying market condition.
It calculates a Regime Score (0–100) by combining momentum energy from MACD pivots, fast and slow structural pivots, and market stress factors. Based on this score, the market is classified into actionable regimes such as Trend Dominant, Selective Phase, or Capital Protection.
The indicator features a live dashboard showing the current regime and score, along with visual structural zones directly on the chart. It acts as an early-warning system for potential market transitions, helping traders manage risk, identify high-probability trend phases, and make informed position-sizing decisions.
Disclaimer: PFA बाज़ार दर्शन™ is for analytical and educational purposes only. It does not provide buy/sell signals or guarantee future performance. Users should combine it with their own trading strategy, risk management, and confirmation tools.
Premium Volume Divergence Signals [Stansbooth]Advanced Divergence Indicator
This indicator is designed to uncover the hidden relationship between price action and momentum. By accurately detecting when price and momentum move in different directions, it highlights bullish and bearish divergences at critical market points — often before reversals or strong continuations occur.
🔹 Key Features:
Precise detection of Regular and Hidden Divergence
Helps identify early market reversals
Clean, clear, and easy-to-read visual signals
Works across Forex, Crypto, and Stock markets
Suitable for all timeframes and trading styles
This indicator empowers traders to make smarter entries, confident exits, and better risk management decisions. Instead of chasing the market, it allows you to anticipate price movement with confidence.
Trade smarter, not harder — let divergence reveal the real market strength.
CoreHedge : Pivots(Main) + Manual RR Monitor
You can fInd Mainly Target Point of Support and Resistance
1. Finding Tipping Point
2. Strategy Build
3. RR Caculator
Custom Study 4402This custom indicator acts as a comprehensive technical analysis suite designed to visualize market structure and trend alignment for intraday analysis. The primary purpose of this script is to automate the calculation of significant price levels based on historical data points, specifically focusing on the relationship between previous day's price action and current momentum.
**Key Features:**
1. **Automated Level Plotting:** The script calculates and renders key support and resistance zones derived from standard volatility metrics and historical high/low data. These levels serve as static references throughout the trading session.
2. **Trend Confluence:** It incorporates Volume Weighted Average Price (VWAP) logic to filter price action, helping to identify whether the asset is in a bullish or bearish phase relative to the average volume-weighted price.
3. **Signal Visualization:** The script utilizes visual markers (shapes and lines) to highlight specific conditions where price action aligns with the calculated levels.
4. **Dashboard Display:** A data table is provided to numerically display the calculated values for quick reference.
**Usage:**
This tool is intended for studying price behavior around calculated pivot zones. It is a "Protected" script designed to maintain the integrity of the specific calculation parameters used in this study. The logic combines multi-timeframe analysis to ensure that the plotted levels remain consistent regardless of the intraday timeframe being viewed.
**Disclaimer:**
This script is for educational and research purposes only. It visualizes data based on past performance and does not guarantee future results.
Bullish Breakout Finder by St0icTraderThis breakout finder is for PSEI. Buy on breakout candle close with stop loss of 5%.
PFA_Cumulative VolumeComplex Technical Summary – PFA_Cumulative Volume Indicator
The PFA_Cumulative Volume indicator implements a session-normalized volume aggregation framework that conditionally resets at each daily time boundary, thereby isolating intraday participation dynamics from multi-day carryover noise. By cumulatively summing raw traded volume from the session open, the script constructs a real-time proxy for directional conviction and liquidity absorption across the trading day.
In parallel, the indicator captures the immediate microstructure context by explicitly retaining the volume of the last two completed candles, enabling short-horizon comparative analysis of participation decay, acceleration, or stalling. This dual-layer design—macro session accumulation coupled with micro candle-level volume comparison—allows traders to infer whether price movement is being structurally supported by expanding market involvement or merely drifting due to transient order flow.
The visualization layer, implemented via a dynamically updated table overlay, prioritizes informational density over graphical plots. By segregating cumulative session volume, last-candle volume, and second-last-candle volume into discrete cells, the indicator facilitates rapid regime assessment without distorting price charts. Functionally, the tool does not assert directional bias; instead, it acts as a participation integrity monitor, highlighting divergence between price action and underlying volume commitment, which is critical for detecting distribution, exhaustion, or false continuation scenarios.
In essence, the indicator operationalizes volume as a state variable rather than a trigger, framing trades around the sustainability of market effort rather than isolated price events.
Anchored VWAP: Monthly / Weekly / SessionsPlots up to five VWAP lines using the chart’s exchange timezone:
Monthly anchored VWAP: resets on the first bar at/after your chosen month start day + time.
Weekly anchored VWAP: resets on the first bar at/after your chosen weekday + time.
Up to 3 session anchored VWAPs: each resets on the first bar that enters its configured TradingView session window; optionally hides the line outside the session).
All VWAPs are computed from a selectable price source (default hlc3) and traded volume.
Quantum Algo Matrix Quantum Algo Matrix
Multi-Layer Market Intelligence
🔹 Overview
Quantum Algo Matrix is a multi-dimensional market analysis system designed to identify high-probability reversal and continuation zones by combining momentum, volatility, trend structure, multi-timeframe correlation, and AI-based confirmation into a single, coherent framework.
Instead of relying on a single indicator, this script cross-validates signals across independent methodologies, significantly reducing noise and false positives.
It is best suited for active traders, swing traders, and systematic traders who value confirmation, structure, and context over single-trigger signals.
🧠 Core Components & How They Work Together
1️⃣ WaveTrend Engine (Market Structure & Extremes)
At the heart of the system lies a WaveTrend oscillator, which identifies overbought and oversold market conditions with multiple graded levels:
Level 1 (L1) → Primary extreme zones
Level 2 (L2) → Secondary confirmation zones
Level 0 (L0) → Extended exhaustion zones beyond normal extremes
Signals are only considered when WaveTrend momentum confirms a structural extreme, ensuring trades are taken where risk-reward is asymmetric, not mid-range.
Visual differentiation (lines, dots, and crosses) clearly communicates signal strength and hierarchy.
2️⃣ WVF – Volatility Reversal Detection
The WVF module tracks volatility expansion and contraction relative to historical extremes:
Identifies panic selling and emotional spikes
Uses percentile-based thresholds, not fixed values
Optional standard deviation & range filters reduce noise
WVF reversal signals are gated by WaveTrend zones, meaning volatility alone is never enough — price must also be in a statistically significant location.
This avoids the common pitfall of chasing volatility in trending or neutral conditions.
3️⃣ Squeeze Momentum (SQZ) – Pressure & Energy Release
The Squeeze Momentum module measures volatility compression vs expansion, highlighting when the market is:
Building pressure (compression)
Releasing energy (expansion)
Unlike traditional implementations, SQZ is scaled to the WaveTrend range, allowing it to visually integrate with the rest of the system.
The result is a clear momentum context that confirms whether a signal occurs:
Into expansion (higher probability)
Or during decay (lower probability)
4️⃣ Multi-Timeframe Correlation (MTF Filter)
One of the most powerful features of Quantum Algo Matrix is its Multi-Timeframe WaveTrend Correlation Filter.
When enabled, the script checks WaveTrend conditions across multiple higher timeframes (user-selectable):
45m
60m
120m
(optional lower / higher frames)
A signal is only validated when current timeframe conditions align with higher-timeframe momentum, ensuring:
Trades are with the broader market context
Lower-timeframe noise is filtered out
Counter-trend signals are reduced
This is especially effective in volatile or choppy markets.
5️⃣ AI SuperTrend Clustering (Advanced Confirmation Layer)
The AI module introduces a machine-learning-inspired clustering approach:
Multiple SuperTrend variations are generated
Their behavior is clustered using K-means logic
Bullish, bearish, and neutral consensus streams are extracted
Output is normalized and scaled to the WaveTrend environment
Rather than predicting price, the AI acts as a confidence validator:
Confirms strength
Filters weak setups
Prevents entries during indecision
This layer dramatically improves signal quality consistency, especially during transitions and regime changes.
🎯 Final Signal Logic (Why It’s Accurate)
A final LONG or SHORT signal is only produced when:
✔ WaveTrend confirms a valid extreme
✔ Volatility (WVF) shows a qualified reversal or memory condition
✔ Momentum (SQZ) supports expansion or pressure release
✔ Multi-Timeframe structure is aligned (optional)
✔ AI consensus confirms directional confidence (optional)
Because each component is independent, the probability of random alignment is low — this is what makes the system robust and statistically sound.
🧩 Customization & Flexibility
Every module can be enabled or disabled
Visuals are clean and user-controlled
Works on all markets (crypto, forex, indices, stocks)
Optimized for intraday to swing timeframes
No repainting logic in signal generation
⚠️ Important Notes
This script is a decision-support system, not a prediction tool.
It is designed to help traders identify high-quality opportunities, manage risk more effectively, and avoid emotional trading.
Always combine with:
Proper risk management
Market structure awareness
Personal trading rules
⭐ Summary
Quantum Algo Matrix is not a single indicator —
it is a complete market intelligence framework.
By blending structure, volatility, momentum, correlation, and AI-based confirmation, it delivers clearer signals, fewer false positives, and stronger contextual awareness across all timeframes.
PFA_ATR Locha:Clean Volatility RegimeCondensed Abstract (Advanced)
ATR Locha functions as a non-directional volatility-regime discriminator, operationalizing ATR normalized by price to detect latent shifts in market stress dynamics. By stratifying volatility into compression, equilibrium, and expansion states, it isolates pre-trend instability and post-trend exhaustion without invoking directional bias. The indicator is structurally anticipatory rather than predictive, serving as a probabilistic risk-state lens that contextualizes price behavior, enhances temporal positioning, and mitigates regime-mismatch errors when integrated with structural or trend-confirmatory frameworks.
N Days Back Session DividerThis Pine Script acts as a smart vertical marker that identifies exactly where a trading day began a specific number of sessions ago. It is designed to ignore "dead time" (like weekends or holidays) by focusing on actual market activity.
PDH/PDL + Alerts + Liquidity Sweep ReversalThis indicator is designed for traders who utilize Price Action to identify high-probability reversal zones at daily liquidity levels. It automatically plots the Previous Day High (PDH) and Previous Day Low (PDL) and monitors them for institutional "fake-outs" or liquidity sweeps.
Core Functionality
Daily Liquidity Levels: Automatically fetches and plots the PDH and PDL with custom labels and line styles.
Strict Reversal Logic: Unlike standard breakout indicators, this script looks for specific "trap" behavior where price pierces a level and is immediately rejected.
Institutional Precision Tooltips: Includes built-in precision guides for Wick Percentages and Lookback counts based on professional trading standards.
The "Strict Reversal" Setup
The indicator only triggers a Buy/Sell label when three specific criteria are met:
The Lookback: The level must have been respected as a boundary for a user-defined number of candles (Default: 7), confirming its strength.
The Sequence: The candle must open on the "safe" side of the level, pierce through it to grab liquidity, and then close back on the original side.
The Rejection (Wick %): The candle must leave a significant wick (Default: 72%). This 72% threshold aligns with the 2.5x Wick-to-Body ratio, signaling a violent institutional rejection.
Alert Options
The script features four consolidated alert conditions for seamless automation:
Sell Signal (Rejection): Triggers on strict bearish wick sweeps at key levels.
Buy Signal (Rejection): Triggers on strict bullish wick sweeps at key levels.
Price Cross Up: Alerts when price breaks above either PDH or PDL.
Price Cross Down: Alerts when price breaks below either PDH or PDL.
How to Use
Scalping: Use a 3–5 candle lookback on the 1m or 5m timeframe.
Intraday Reversals: Use the 7–10 candle lookback on the 5m or 15m timeframe for standard SMC setups.
Swing Trading: Use the 15+ candle lookback on the 1h or 4h timeframe to target major daily liquidity pools.
