Multi TF - HTF→LTF OrderblocksMulti TF — HTF→LTF Orderblocks
Identify higher-timeframe (HTF) order blocks and project them onto your lower-timeframe (LTF) chart—clean, fast, and publication-ready.
The script automatically detects swing breaks on your chosen HTF, builds the originating order block, and renders that zone on your current chart so you can execute on lower timeframes with higher-timeframe context.
--------------------
How it works
HTF swing structure is tracked via pivot highs/lows and a user-selected break confirmation (Close or Wick).
On a valid break, the script backtracks to the last opposite candle and creates the HTF order block (wick-to-wick or body-only depending on your setting).
The OB is projected to the LTF and extended bar-by-bar until:
Mitigation: price penetrates at least 50% of the zone → the box is marked “old” (dimmed) or optionally auto-deleted.
Close-break: price closes beyond the far edge → zone is optionally removed immediately.
Each zone includes a centerline and an inside label showing the original HTF (e.g., “M15”, “H1”).
Key features
True HTF→LTF overlay: trade M1/M5 with M15/H1/H4 context.
Mitigation logic (≥50%): first meaningful touch turns the zone “old” or deletes it (your choice).
Close-break handling: auto-remove zones broken by close, to keep charts clean.
Overlap control: choose how to handle overlapping zones on the same side:
Keep Latest, Union (merge), or Intersection (refine).
Wicks vs. Bodies: build zones from full candle range or just the body.
Lightweight UI: only the relevant inputs in the panel; sensible defaults.
Alert included: fires on the first 50% mitigation of any fresh zone.
Performance-friendly limits: cap the number of active zones to fit Pine limits.
Inputs (quick overview)
HTF for Order Blocks: timeframe to scan (e.g., 15, 60, 240, D).
Swing Length (Pivot L/R): pivot sensitivity for structure.
Break Confirmation: Close (recommended) or Wick.
Zones use Wicks: on/off for wick-to-wick zones.
OB Lookback before Break: how far to search for the opposite candle.
Max Active Zones: hard cap for chart cleanliness & performance.
Delete on Close-Break: remove zones that are invalidated by a close.
Delete after Mitigation: remove once a 50% touch occurs.
Handle Overlap: None, Keep Latest, Union (merge), Intersection (refine).
Colors & Border: fresh/old zone colors (default ~35% opacity) and optional borders.
Default profile (as shipped):
Break by Close, zones use wicks, Union overlap handling, 250 lookback, 250 max zones, borders off, and HTF label printed inside each zone.
How to use (suggested workflow)
Pick an HTF (e.g., H1 for intraday) and drop to your execution TF (e.g., M5/M1).
Wait for price to tap ≥50% of a fresh OB → look for your LTF trigger (CHOCH, iFVG, PA).
Place SL beyond the zone (or beyond the LTF swing) and manage to your targets (e.g., 2R–3R or to the next HTF OB).
Keep charts clean by enabling Delete on Close-Break and (optionally) Delete after Mitigation.
Alerts
“OB: Zone berührt (Erstkontakt)” — triggers on the first ≥50% mitigation of any fresh zone.
Create additional TradingView alerts with this condition to get notified in real time.
Notes & limitations
Built with request.security(..., lookahead_off) to avoid future-bar peeking; zones only form after a confirmed HTF break.
As with all pattern-based tools, use alongside your risk management and a defined entry model.
Pine has strict limits on drawings; use Max Active Zones to balance coverage and performance.
Credits
Designed for traders who want HTF precision with LTF execution—a clean, opinionated OB overlay that focuses on what matters: fresh zones, first touch, and invalidation.
Поиск скриптов по запросу "smart"
Yelober - Market Internal direction+ Key levelsYelober – Market Internals + Key Levels is a focused intraday trading tool that helps you spot high-probability price direction by anchoring decisions to structure that matters: yesterday’s RTH High/Low, today’s pre-market High/Low, and a fast Value Area/POC from the prior session. Paired with a compact market internals dashboard (NYSE/NASDAQ UVOL vs. DVOL ratios, VOLD slopes, TICK/TICKQ momentum, and optional VIX trend), it gives you a real-time read on breadth so you can choose which direction to trade, when to enter (breaks, retests, or fades at PMH/PML/VAH/VAL/POC), and how to plan exits as internals confirm or deteriorate. On top of these intraday decision benefits, it also allows traders—in a very subtle but powerful way—to keep an eye on the VIX and immediately recognize significant spikes or sharp decreases that should be factored in before entering a trade, or used as a quick signal to modify an existing position. In short: clear levels for the chart, live internals for the context, and a smarter, rules-based path to execution.
# Yelober – Market Internals + Key Levels
*A TradingView indicator for session key levels + real‑time market internals (NYSE/NASDAQ TICK, UVOL/DVOL/VOLD, and VIX).*
**Script name in Pine:** `Yelober - Market Internal direction+ Key levels` (Pine v6)
---
## 1) What this indicator does
**Purpose:** Help intraday traders quickly find high‑probability reaction zones and read market internals momentum without switching charts. It overlays yesterday/today’s **automatic price levels** on your active chart and shows a **market breadth table** that summarizes NYSE/NASDAQ buying pressure and TICK direction, with an optional VIX trend read.
### Key features at a glance
* **Automatic Price Levels (overlay on chart)**
* Yesterday’s High/Low of Day (**yHoD**, **yLoD**)
* Extended Hours High/Low (**yEHH**, **yEHL**) across yesterday AH + today pre‑market
* Today’s Pre‑Market High/Low (**PMH**, **PML**)
* Yesterday’s **Value Area High/Low** (**VAH/VAL**) and **Point of Control (POC)** computed from a volume profile of yesterday’s **regular session**
* Smart de‑duplication:
* Shows **only the higher** of (yEHH vs PMH) and **only the lower** of (yEHL vs PML) to avoid redundant bands
* **Market Breadth Table (on‑chart table)**
* **NYSE ratio** = UVOL/DVOL (signed) with **VOLD slope** from session open
* **NASDAQ ratio** = UVOLQ/DVOLQ (signed) with **VOLDQ slope** from session open
* **TICK** and **TICKQ**: live cumulative ratio and short‑term slope
* **VIX** (optional): current value + slope over a configurable lookback/timeframe
* Color‑coded trends with sensible thresholds and optional normalization
---
## 2) How to use it (trader workflow)
1. **Mark your reaction zones**
* Watch **yHoD/yLoD**, **PMH/PML**, and **VAH/VAL/POC** for first touches, break/retest, and failure tests.
* Expect increased responsiveness when multiple levels cluster (e.g., PMH ≈ VAH ≈ daily pivot).
2. **Read the breadth panel for context**
* **NYSE/NASDAQ ratio** (>1 = more up‑volume than down‑volume; <−1 = down‑dominant). Strong green across both favors long setups; red favors short setups.
* **VOLD slopes** (NYSE & NASDAQ): positive and accelerating → broadening participation; negative → persistent pressure.
* **TICK/TICKQ**: cumulative ratio and **slope arrows** (↗ / ↘ / →). Use the slope to gauge **near‑term thrust or fade**.
* **VIX slope**: rising VIX (red) often coincides with risk‑off; falling VIX (green) with risk‑on.
3. **Confluence = higher confidence**
* Example: Price reclaims **PMH** while **NYSE/NASDAQ ratios** print green and **TICK slopes** point ↗ — consider break‑and‑go; if VIX slope is ↘, that adds risk‑on confidence.
* Example: Price rejects **VAH** while **VOLD slopes** roll negative and VIX ↗ — consider fade/reversal.
4. **Risk management**
* Place stops just beyond key levels tested; if breadth flips, tighten or exit.
> **Timeframes:** Works best on 1–15m charts for intraday. Value Area is computed from **yesterday’s RTH**; choose a smaller calculation timeframe (e.g., 5–15m) for stable profiles.
---
## 3) Inputs & settings (what each option controls)
### Global Style
* **Enable all automatic price levels**: master toggle for yHoD/yLoD, yEHH/yEHL, PMH/PML, VAH/VAL/POC.
* **Line style/width**: applies to all drawn levels.
* **Label size/style** and **label color linking**: use the same color as the line or override with a global label color.
* **Maximum bars lookback**: how far the script scans to build yesterday metrics (performance‑sensitive).
### Value Area / Volume Profile
* **Enable Value Area calculations** *(on by default)*: computes yesterday’s **POC**, **VAH**, **VAL** from a simplified intraday volume profile built from yesterday’s **regular session bars**.
* **Max Volume Profile Points** *(default 50)*: lower values = faster; higher = more precise.
* **Value Area Calculation Timeframe** *(default 15)*: the security timeframe used when collecting yesterday’s highs/lows/volumes.
### Individual Level Toggles & Colors
* **yHoD / yLoD** (yesterday high/low)
* **yEHH / yEHL** (yesterday AH + today pre‑market extremes)
* **PMH / PML** (today pre‑market extremes)
* **VAH / VAL / POC** (yesterday RTH value area + point of control)
### Market Breadth Panel
* **Show NYSE / NASDAQ / VIX**: choose which series to display in the table.
* **Table Position / Size / Background Color**: UI placement and legibility.
* **Slope Averaging Periods** *(default 5)*: number of recent TICK/TICKQ ratio points used in slope calculation.
* **Candles for Rate** *(default 10)* & **Normalize Rate**: VIX slope calculation as % change between `now` and `n` candles ago; normalize divides by `n`.
* **VIX Timeframe**: optionally compute VIX on a higher TF (e.g., 15, 30, 60) for a smoother regime read.
* **Volume Normalization** (NYSE & NASDAQ): display VOLD slopes scaled to `tens/thousands/millions/10th millions` for readable magnitudes; color thresholds adapt to your choice.
---
## 4) Data sources & definitions
* **UVOL/VOLD (NYSE)** and **UVOLQ/DVOLQ/VOLDQ (NASDAQ)** via `request.security()`
* **Ratio** = `UVOL/DVOL` (signed; negative when down‑volume dominates)
* **VOLD slope** ≈ `(VOLD_now − VOLD_open) / bars_since_open`, then normalized per your setting
* **TICK/TICKQ**: cumulative sum of prints this session with **positives vs negatives ratio**, plus a simple linear regression **slope** of the last `N` ratio values
* **VIX**: value and slope across a user‑selected timeframe and lookback
* **Sessions (EST/EDT)**
* **Regular:** 09:30–16:00
* **Pre‑Market:** 04:00–09:30
* **After Hours:** 16:00–20:00
* **Extended‑hours extremes** combine **yesterday AH** + **today PM**
> **Note:** All session checks are done with TradingView’s `time(…,"America/New_York")` context. If your broker’s RTH differs (e.g., futures), adjust expectations accordingly.
---
## 5) How the algorithms work (plain English)
### A) Key Levels
* **Yesterday’s RTH High/Low**: scans yesterday’s bars within 09:30–16:00 and records the extremes + bar indices.
* **Extended Hours**: scans yesterday AH and today PM to get **yEHH/yEHL**. Script shows **either yEHH or PMH** (whichever is **higher**) and **either yEHL or PML** (whichever is **lower**) to avoid duplicate bands stacked together.
* **Value Area & POC (RTH only)**
* Build a coarse volume profile with `Max Volume Profile Points` buckets across the price range formed by yesterday’s RTH bars.
* Distribute each bar’s volume uniformly across the buckets it spans (fast approximation to keep Pine within execution limits).
* **POC** = bucket with max volume. **VA** expands from POC outward until **70%** of cumulative volume is enclosed → yields **VAH/VAL**.
### B) Market Breadth Table
* **NYSE/NASDAQ Ratio**: signed UVOL/DVOL with basic coloring.
* **VOLD Slopes**: from session open to current, normalized to human‑readable units; colors flip green/red based on thresholds that map to your normalization setting (e.g., ±2M for NYSE, ±3.5×10M for NASDAQ).
* **TICK/TICKQ Slope**: linear regression over the last `N` ratio points → **↗ / → / ↘** with the rounded slope value.
* **VIX Slope**: % change between now and `n` candles ago (optionally divided by `n`). Red when rising beyond threshold; green when falling.
---
## 6) Recommended presets
* **Stocks (liquid, intraday)**
* Value Area **ON**, `Max Volume Points` = **40–60**, **Timeframe** = **5–15**
* Breadth: show **NYSE & NASDAQ & VIX**, `Slope periods` = **5–8**, `Candles for rate` = **10–20**, **Normalize VIX** = **ON**
* **Index futures / very high‑volume symbols**
* If you see Pine timeouts, set `Max Volume Points` = **20–40** or temporarily **disable Value Area**.
* Keep breadth panel **ON** (it’s light). Consider **VIX timeframe = 15/30** for regime clarity.
---
## 7) Tips, edge cases & performance
* **Performance:** The volume profile is capped (`maxBarsToProcess ≤ 500` and bucketed) to keep it responsive. If you experience slowdowns, reduce `Max Volume Points`, `Maximum bars lookback`, or disable Value Area.
* **Redundant lines:** The script **intentionally suppresses** PMH/PML when yEHH/yEHL are more extreme, and vice‑versa.
* **Label visibility:** Use `Label style = none` if you only want clean lines and read values from the right‑end labels.
* **Futures/RTH differences:** Value Area is from **yesterday’s RTH** only; for 24h instruments the RTH period may not reflect overnight structure.
* **Session transitions:** PMH/PML tracking stops as soon as RTH starts; values persist as static levels for the session.
---
## 8) Known limitations
* Uses public TradingView symbols: `UVOL`, `VOLD`, `UVOLQ`, `DVOLQ`, `VOLDQ`, `TICK`, `TICKQ`, `VIX`. If your data plan or region limits any symbol, the corresponding table rows may show `na`.
* The VA/POC approximation assumes uniform distribution of each bar’s volume across its high–low. That’s fast but not a tick‑level profile.
* Works best on US equities with standard NY session; alternative sessions may need code changes.
---
## 9) Troubleshooting
* **“Script is too slow / timed out”** → Lower `Max Volume Points`, lower `Maximum bars lookback`, or toggle **OFF** `Enable Value Area calculations` for that instrument.
* **Missing breadth values** → Ensure the symbols above load on your account; try reloading chart or switching timeframes once.
* **Overlapping labels** → Set `Label style = none` or reduce label size.
---
## 10) Version / license / contribution
* **Version:** Initial public release (Pine v6).
* **Author:** © yelober
* **License:** Free for community use and enhancement. Please keep author credit.
* **Contributing:** Open PRs/ideas: presets, alert conditions, multi‑day VA composites, optional mid‑value (`(VAH+VAL)/2`), session filter for futures, and alertable state machine for breadth regime transitions.
---
## 11) Quick start (TL;DR)
1. Add the indicator and **keep default settings**.
2. Trade **reactions** at yHoD/yLoD/PMH/PML/VAH/VAL/POC.
3. Use the **breadth table**: look for **green ratios + ↗ slopes** (risk‑on) or **red ratios + ↘ slopes** (risk‑off). Check **VIX** slope for confirmation.
4. Manage risk around levels; when breadth flips against you, tighten or exit.
---
### Changelog (public)
* **v1.0:** First community release with automatic RTH levels, VA/POC approximation, breadth dashboard (NYSE/NASDAQ/TICK/TICKQ/VIX) with normalization and adaptive color thresholds.
Liquidity Sweep Scanner [TradingFinder]🔵 Introduction
Recognizing how liquidity develops and how price reacts at key structural levels is critical for spotting precise, low-risk trade entries. The Liquidity Sweep Scanner is an advanced tool built to track market activity in real time, pinpoint liquidity sweeps, define reaction zones, and identify confirmation candles across multiple instruments and timeframes.
Key Advantages :
Detects high-probability reversal points with precision.
Combines liquidity analysis, market structure, and candle confirmation.
Works seamlessly across multiple symbols and timeframes.
This screener can scan a broad watchlist or analyze every timeframe of a single asset to find optimal reversal zones. It starts by identifying a clear swing point either a swing high or swing low and marking a reaction zone between that point and the candle’s highest or lowest open/close value.
If price revisits the zone, performs a liquidity grab, and forms an indecision candle such as a doji or narrow-bodied bar that closes inside the zone, this may indicate rejection of the level and a failed breakout attempt. Based on the surrounding market context, the screener then flags a potential bullish or bearish reversal and generates the appropriate Long or Short signal.
By focusing on precise entry timing, institutional order flow alignment, and filtering out false breakouts, the Liquidity Sweep Scanner zeroes in on the market areas where liquidity engineering, reversal potential, and inefficiency overlap. This makes it an indispensable tool for price action traders who rely on clear, high-quality setups without the distraction of market noise.
🔵 How to Use
The Liquidity Sweep Scanner continuously evaluates market structure, issuing alerts when a potential reversal setup emerges. It merges liquidity behavior, swing point analysis, and candle confirmation within predefined reaction zones.
To illustrate, imagine price forms a swing high or low, then later returns to that level. If it sweeps the prior extreme and produces a qualifying candle inside the reaction zone, the tool signals a possible reversal.
🟣 Long Setup
For a bullish scenario, the screener first spots a valid swing low a level often packed with sell-side liquidity. From there, it defines a reaction zone stretching from the swing low to the candle’s lowest open/close point.
If price retests this area with a wick dipping below the swing low but then closes back inside the zone, it signals absorption of selling pressure and rejection of further downside. The screener then awaits a confirmation candle commonly a doji or small-bodied bar closing inside the zone. Once these conditions align, a Long signal is logged and, if alerts are active, the trader receives a notification.
🟣 Short Setup
For bearish opportunities, the process begins by locating a valid swing high typically an area dense with buy-side liquidity. The reaction zone is drawn from the swing high to the candle’s highest open/close value.
When price retests this zone, sweeps above the swing high, and fails to close higher, it suggests a bull trap and waning upward momentum. The screener then requires a confirmation candle often a doji or rejection bar that closes back within the zone before confirming a Short signal.
These bearish setups help traders pinpoint likely institutional sell zones, offering a clear view of where price may reverse following a liquidity event.
🔵 Settings
🟣 Logical settings
Liquidity Swing period : You can set the swing detection period.
Market Structure Period :You can set the Pivot Period to determine the detection direction.
Max Swing Back Method : It is in two modes "All" and "Custom". If it is in "All" mode, it will check all swings, and if it is in "Custom" mode, it will check the swings to the extent you determine.
Max Swing Back : You can set the number of swings that will go back for checking.
Maximum Distance Between Swing and Signal : The maximum number of candles allowed between the swing point and the potential signal. The default value is 50, ensuring that only recent and relevant price reactions are considered valid.
🟣 Display Settings
Table on Chart : Allows users to choose the position of the signal dashboard either directly on the chart or below it, depending on their layout preference.
Number of Symbols : Enables users to control how many symbols are displayed in the screener table, from 10 to 20, adjustable in increments of 2 symbols for flexible screening depth.
Table Mode : This setting offers two layout styles for the signal table :
Basic : Mode displays symbols in a single column, using more vertical space.
Extended : Mode arranges symbols in pairs side-by-side, optimizing screen space with a more compact view.
Table Size : Lets you adjust the table’s visual size with options such as: auto, tiny, small, normal, large, huge.
Table Position : Sets the screen location of the table. Choose from 9 possible positions, combining vertical (top, middle, bottom) and horizontal (left, center, right) alignments.
🟣 Symbol Settings
Each of the 10 symbol slots comes with a full set of customizable parameters :
Symbol : Define or select the asset (e.g., XAUUSD, BTCUSD, EURUSD, etc.).
Timeframe : Set your desired timeframe for each symbol (e.g., 15, 60, 240, 1D).
🟣 Alert Settings
Alert : Enables alerts for LSS.
Message Frequency : Determines the frequency of alerts. Options include 'All' (every function call), 'Once Per Bar' (first call within the bar), and 'Once Per Bar Close' (final script execution of the real-time bar). Default is 'Once per Bar'.
Show Alert Time by Time Zone : Configures the time zone for alert messages. Default is 'UTC'.
🔵 Conclusion
The Liquidity Sweep Scanner equips traders with a precise, structured method for spotting high-probability reversals by merging liquidity sweeps, reaction zone mapping, and candle confirmation.
It not only filters out market noise but also highlights price areas where inefficiency and reversal potential align. Beyond identifying clean entry points, the tool includes a market direction detection feature allowing traders to quickly determine the prevailing trend and align their trades accordingly.
With adjustable settings such as the Pivot Period for fine-tuning detection direction, it adapts to various trading styles and timeframes, making it a powerful and versatile addition to any trader’s strategy.
Платный скрипт
Watermark [TakingProphets] Watermark
A fully customizable watermark & chart info panel to keep your charts branded, organized, and informative — without clutter.
Special thanks to for inspiring the original concept that led to this expanded version.
📌 Overview
Perfect for:
Traders who stream, record, or share charts
Keeping essential info (symbol, TF, date, price) visible
Intraday traders who want day-of-week labels without messy vertical lines
✨ Key Features
1. Personal Watermark
Custom text, colors, size, opacity
Position anywhere: Top, Middle, Bottom × Left, Center, Right
Alignment options: left, center, right
Optional border with adjustable color or hide completely
2. Chart Info Panel
Show any combination of:
Custom text
Symbol
Timeframe (auto-formatted)
Date (MM-DD-YYYY)
Last price
Day of the week
Position independently from watermark
Adjustable background opacity
3. Day-of-Week Labels
Labels Sunday → Saturday at session start or midday
Works on intraday ≤ 15m timeframes
Option to hide weekends
Place labels Top or Bottom
⚙️ How to Use
Enable Watermark → Personal Watermark Settings → Toggle Show Watermark, enter your text, style it.
Set Up Info Panel → Chart Information Panel → Select details, choose position, adjust style.
Add Day Labels → Day of Week Labels Settings → Turn on for intraday charts.
💡 Tips
Lower background opacity for a subtle look.
Use bright colors for streaming so your brand stands out.
Hide unused features to keep charts clean & fast.
🙏 Acknowledgments
This script’s concept was inspired by toodegrees.
Developed by TakingProphets — tools for traders who value clarity, precision, and style.
⚠️ Disclaimer:
This script is for informational purposes only. It is not financial advice. Always trade responsibly and manage your risk.
Impulse Alert - Demand (Buy) [Fixed]🔵 Impulse Alert – Demand (Buy)
This indicator is designed to detect high-probability Demand Zones based on impulsive bullish price action, helping traders get alerted only when it matters most.
🧠 Core Logic:
Scans the chart for 2 consecutive bullish impulsive candles with significant range (body size)
Also captures single large bullish impulse candles that often mark institutional buying
Marks the origin of the move as a potential Demand Zone
Sends alerts when such bullish setups form, allowing you to monitor charts passively
⚙️ Features:
✅ Alerts on impulsive move formations
✅ Detects both 2-candle and single-candle impulses
✅ Custom zone detection logic based on pip size and momentum
✅ Cleaner & smarter: removes distractions and avoids false signals
📌 Best Used For:
Smart Money / Supply & Demand traders
Identifying potential institutional buy zones
Executing trades with HTF confluence
Traders who want to get alerted without screen-watching
🔁 Suggested Strategy:
Set HTF directional bias (H1, H4, D1)
Use this indicator on LTF (1M–15M) for impulsive bullish entries
Wait for price to return to the marked zone for low-risk entries
💡 Pro Tip: Combine with your Supply Zone (Sell) indicator to track both sides of market structure and increase R:R
👤 Created by: Rohit Jadhav | YT/Insta/X - @GrowthByTrading
📬 Want updates, enhancements, or personal versions? Leave feedback or reach out through profile!
Fair Value Gap Profiles [AlgoAlpha]🟠 OVERVIEW
This script draws and manages Fair Value Gap (FVG) zones by detecting unfilled gaps in price action and then augmenting them with intra-gap volume profiles from a lower timeframe. It is designed to help traders find potential areas where price may return to fill liquidity voids, and to provide extra detail about volume distribution inside each gap to assess strength and likely mitigation. The script automatically tracks each gap, updates its state over time, and can show which gaps are still unfilled or have been mitigated.
🟠 CONCEPTS
A Fair Value Gap is a zone between candles where no trades occurred, often seen as an inefficiency that price later revisits. The script checks each bar to see if a bullish (low above 2-bars-ago high) or bearish (high below 2-bars-ago low) gap has formed, and measures whether the gap’s size exceeds a threshold defined by a volatility-adjusted multiplier of past gap widths (to only detect significantly large gaps). Once a qualified gap is found, it gets recorded and visualized with a box that can stretch forward in time until filled. To add more context, a mini volume profile is built from a lower timeframe’s price and volume data, showing how volume is distributed inside the gap. The lowest-volume subzone is also highlighted using a sliding window scan method to visualise the true gap (area with least trading activity)
🟠 FEATURES
Visual gap boxes that appear automatically when bullish or bearish fair value gaps are detected on the chart.
Color-coded zones showing bullish gaps in one color and bearish gaps in another so you can easily see which side the gap favors.
Volume profile histograms plotted inside each gap using data from a lower timeframe, helping you see where volume concentrated inside the gap area.
Highlight of the lowest-volume subzone within each gap so you can spot areas price may target when filling the gap.
Dynamic extension of the gap boxes across the chart until price comes back and fills them, marking them as mitigated.
Customizable colors and transparency settings for gap boxes, profiles, and low-volume highlights to match your chart style.
Alerts that notify you when a new gap is created or when price fills an existing gap.
🟠 USAGE
This indicator helps you find and track unfilled price gaps that often act as magnets for price to revisit. You can use it to spot areas where liquidity may rest and plan entries or exits around these zones.
The colored gap boxes show you exactly where a fair value gap starts and ends, so you can anticipate potential pullbacks or continuations when price approaches them.
The intra-gap volume profile lets you gauge whether the gap was created on strong or thin participation, which can help judge how likely it is to be filled. The highlighted lowest-volume subzone shows where price might accelerate once inside the gap.
Traders often look for entries when price returns to a gap, aiming for a reaction or reversal in that area. You can also combine the mitigation alerts with your trade management to track when gaps have been closed and adjust your bias accordingly. Overall, the tool gives a clear visual reference for imbalance zones that can help structure trades around supply and demand dynamics.
Logistic Regression ICT FVG🚀 OVERVIEW
Welcome to the Logistic Regression Fair Value Gap (FVG) System — a next-gen trading tool that blends precision gap detection with machine learning intelligence.
Unlike traditional FVG indicators, this one evolves with each bar of price action, scoring and filtering gaps based on real market behavior.
🔧 CORE FEATURES
✨ Smart Gap Detection
Automatically identifies bullish and bearish Fair Value Gaps using volatility-aware candle logic.
📊 Probability-Based Filtering
Uses logistic regression to assign each gap a confidence score (0 to 1), showing only high-probability setups.
🔁 Real-Time Retest Tracking
Continuously watches how price interacts with each gap to determine if it deserves respect.
📈 Multi-Factor Assessment
Evaluates RSI, MACD, and body size at gap formation to build a full context snapshot.
🧠 Self-Learning Engine
The logistic regression model updates on each bar using gradient descent, refining its predictions over time.
📢 Built-In Alerts
Get instant alerts when a gap forms, gets retested, or breaks.
🎨 Custom Display Options
Control the color of bullish/bearish zones, and toggle on/off probability labels for cleaner charts.
🚩 WHAT MAKES IT DIFFERENT
This isn’t just another box-drawing indicator.
While others mark every imbalance, this system thinks before it draws — using statistical modeling to filter out noise and prioritize high-impact zones.
By learning from how price behaves around gaps (not just how they form), it helps you trade only what matters — not what clutters.
⚙️ HOW IT WORKS
1️⃣ Detection
FVGs are identified using ATR-based thresholds and sharp wick imbalances.
2️⃣ Behavior Monitoring
Every gap is tracked — and if respected enough times, it becomes part of the elite training set.
3️⃣ Context Capture
Each new FVG logs RSI, MACD, and body size to provide a feature-rich context for prediction.
4️⃣ Prediction (Logistic Regression)
The model predicts how likely the gap is to be respected and assigns it a probability score.
5️⃣ Classification & Alerts
Gaps above the threshold are plotted with score labels, and alerts trigger for entry/respect/break.
⚙️ CONFIGURATION PANEL
🔧 System Inputs
• Max Retests – How many times a gap must be respected to train the model
• Prediction Threshold – Minimum score to show a gap on the chart
• Learning Rate – Controls how fast the model adapts (default: 0.009)
• Max FVG Lifetime – Expiration duration for unused gaps
• Show Historic Gaps – Show/hide expired or invalidated gaps
🎨 Visual Options
• Bullish/Bearish Colors – Set gap colors to fit your chart style
• Confidence Labels – Show probability scores next to FVGs
• Alert Toggles – Enable alerts for:
– New FVG detected
– FVG respected (entry)
– FVG invalidated (break)
💡 WHY LOGISTIC REGRESSION?
Traditional FVG tools rely on candle shapes.
This system relies on probability — by training on RSI, MACD, and price behavior, it predicts whether a gap will act as a true liquidity zone.
Logistic regression lets the system continuously adapt using new data, making it more accurate the longer it runs.
That means smarter signals, fewer false positives, and a clearer view of where real opportunities lie.
All SMAs Bullish/Bearish Screener (Enhanced)All SMAs Bullish/Bearish Screener Enhanced: Uncover High-Conviction Trend Alignments with Confidence
Description:
Are you ready to elevate your trading from mere guesswork to precise, data-driven decisions? The "All SMAs Bullish/Bearish Screener Enhanced" is not just another indicator; it's a sophisticated, yet user-friendly, trend-following powerhouse designed to cut through market noise and pinpoint high-probability trading opportunities. Built on the foundational strength of comprehensive Moving Average confluence and fortified with critical confirmation signals from Momentum, Volume, and Relative Strength, this script empowers you to identify truly robust trends and manage your trades with unparalleled clarity.
The Power of Multi-Factor Confluence: Beyond Simple Averages
In the unpredictable world of financial markets, true strength or weakness is rarely an isolated event. It's the harmonious alignment of multiple technical factors that signals a high-conviction move. While our original "All SMAs Bullish/Bearish Screener" intelligently identified stocks where price was consistently above or below a full spectrum of Simple Moving Averages (5, 10, 20, 50, 100, 200), this Enhanced version takes it a crucial step further.
We've integrated a powerful three-pronged confirmation system to filter out weaker signals and highlight only the most compelling setups:
Momentum (Rate of Change - ROC): A strong trend isn't just about price direction; it's about the speed and intensity of that movement. Positive momentum confirms that buyers are still aggressively pushing price higher (for bullish signals), while negative momentum validates selling pressure (for bearish signals).
Volume: No trend is truly trustworthy without the backing of smart money. Above-average volume accompanying an "All SMAs" alignment signifies strong institutional participation and conviction behind the move. It separates genuine trend starts from speculative whims.
Relative Strength Index (RSI): This versatile oscillator ensures the trend isn't just "there," but that it's developing healthily. We use RSI to confirm a bullish bias (above 50) or a bearish bias (below 50), adding another layer of confidence to the direction.
When the price aligns above ALL six critical SMAs, and is simultaneously confirmed by robust positive momentum, healthy volume, and a bullish RSI bias, you have an exceptionally strong "STRONGLY BULLISH" signal. This confluence often precedes sustained upward moves, signaling prime accumulation phases. Conversely, a "STRONGLY BEARISH" signal, where price is below ALL SMAs with negative momentum, confirming volume, and a bearish RSI bias, indicates powerful distribution and potential for significant downside.
How to Use This Enhanced Screener:
Add to Chart: Go to TradingView's Pine Editor, paste the script, and click "Add to Chart."
Customize Parameters: Fine-tune the lengths of your SMAs, RSI, Momentum, and Volume averages via the indicator's settings. Experiment to find what best suits your trading style and the assets you trade.
Choose Your Timeframe Wisely:
Daily (1D) and 4-Hour (240 min) are highly recommended. These timeframes cut through intraday noise and provide more reliable, actionable signals for swing and position trading.
Shorter timeframes (e.g., 15min, 60min) can be used by advanced day traders for very short-term entries, but be aware of increased volatility and noise.
Visual Confirmation:
Green/Red Triangles: Appear on your chart, indicating confirmed bullish or bearish signals.
Background Color: The chart background will subtly turn lime green for "STRONGLY BULLISH" and red for "STRONGLY BEARISH" conditions.
On-Chart Status Table: A clear table displays the current signal status ("STRONGLY BULLISH/BEARISH," or "SMAs Mixed") for immediate feedback.
Set Up Alerts (Your Primary Screener Tool): This is the game-changer! Create custom alerts on TradingView based on the "Confirmed Bullish Trade" and "Confirmed Bearish Trade" conditions. Receive instant notifications (email, pop-up, mobile) for any stock in your watchlist that meets these stringent criteria. This allows you to scan the entire market effortlessly and act decisively.
Strategic Stop-Loss Placement: The Trader's Lifeline
Even the most robust signals can fail. Protecting your capital is paramount. For this trend-following strategy, your stop-loss should be placed where the underlying trend structure is broken.
For a "STRONGLY BULLISH" Trade: Place your stop-loss just below the most recent significant swing low (higher low). This is the last point where buyers stepped in to support the price. If price breaks below this, your bullish thesis is invalidated.
For a "STRONGLY BEARISH" Trade: Place your stop-loss just above the most recent significant swing high (lower high). If price breaks above this, your bearish thesis is invalidated.
Alternatively, consider placing your stop-loss just below the 20-period SMA (for bullish trades) or above the 20-period SMA (for bearish trades). A significant close beyond this intermediate-term average often indicates a critical shift in momentum. Always ensure your chosen stop-loss adheres to your pre-defined risk per trade (e.g., 1-2% of capital).
Disciplined Profit Booking: Maximizing Gains
Just as important as knowing when you're wrong is knowing when to take profits.
Trailing Stop-Loss: As your trade moves into profit, trail your stop-loss upwards (for longs) or downwards (for shorts). You can trail it using:
Previous Swing Lows/Highs: Move your stop to just below each new higher low (for longs) or just above each new lower high (for shorts).
A Moving Average (e.g., 10-period or 20-period SMA): If price closes below your chosen trailing SMA, exit. This allows you to ride the trend while protecting accumulated profits.
Target Levels: Identify potential resistance levels (for longs) or support levels (for shorts) using pivot points, previous highs/lows, or Fibonacci extensions. Consider taking partial profits at these levels and letting the rest run with a trailing stop.
Loss of Confluence: If the "STRONGLY BULLISH/BEARISH" condition ceases to be met (e.g., RSI crosses below 50, or volume drops significantly), this can be a signal to reduce or exit your position, even if your stop-loss hasn't been hit.
The "All SMAs Bullish/Bearish Screener Enhanced" is your comprehensive partner in navigating the markets. By combining robust trend identification with critical confirmation signals and disciplined risk management, you're equipped to make smarter, more confident trading decisions. Add it to your favorites and unlock a new level of precision in your trading journey!
#PineScript #TradingView #SMA #MovingAverage #TrendFollowing #StockScreener #TechnicalAnalysis #Bullish #Bearish #QQQ #Momentum #Volume #RSI #SPY #TradingStrategy #Enhanced #Signals #Analysis #DayTrading #SwingTrading
Color Vario Moving Average RibbonColor Vario Moving Average Ribbon – Smart Trend & Momentum Tool for Traders
The Color Vario Moving Average Ribbon is a powerful and customizable indicator that combines trend analysis, momentum detection, and volume confirmation — all in one clean and intuitive design.
🔍 Key Features:
✅ Dynamic Moving Averages (Up to 4)
• Choose from SMA, EMA, WMA, VWMA, or SMMA.
• Each MA line changes color based on price position (above = bullish, below = bearish).
• Great for spotting trend direction and momentum shifts at a glance.
📏 Distance from MAs (Table Display)
• Real-time display of how far price is from each MA (in % and points).
• Helps you assess extension, pullback depth, or reversion potential quickly.
📈 ADR% (Average Daily Range)
• Calculates average volatility using high-low ranges.
• Useful for setting realistic targets, stops, and risk assessments.
🔊 RVol (Relative Volume)
• Compares current volume to the average of recent days.
• Highlights whether volume is above or below normal (green = strong, red = weak).
• Perfect for volume confirmation during entries or breakouts.
⚡ Yellow Dot Signal (Momentum Spike)
• Appears when:
• Price moves more than a custom % from the previous candle.
• Volume is higher than your defined minimum.
• A visual cue for strong price + volume moves, helping you catch momentum trades early.
🎨 UI Customization
• Light/Dark mode compatibility.
• Adjust table size and position for your layout preference.
⸻
🚀 Who Should Use This?
This indicator is ideal for:
• Swing Traders looking for clean trend signals
• Intraday Traders who rely on momentum and volume
• Positional Traders tracking price behavior around key MAs
⸻
📌 Final Words
The Color Vario MA Ribbon is more than just a ribbon — it’s a compact trend, momentum, and volume dashboard built for traders who need clarity and precision.
Whether you’re looking for cleaner entries, stronger confirmations, or smarter exits, this tool adds serious edge to your trading chart.
💬 Don’t forget to give your feedback in the comments!
Buy/Sell Ei - Premium Edition (Fixed Momentum)**📈 Buy/Sell Ei Indicator - Smart Trading System with Price Pattern Detection 📉**
**🔍 What is it?**
The **Buy/Sell Ei** indicator is a professional tool designed to identify **buy and sell signals** based on a combination of **candlestick patterns** and **moving averages**. With high accuracy, it pinpoints optimal entry and exit points in **both bullish and bearish trends**, making it suitable for forex pairs, stocks, and cryptocurrencies.
---
### **🌟 Key Features:**
✅ **Advanced Candlestick Pattern Detection**
✅ **Momentum Filter (Customizable consecutive candle count)**
✅ **Live Trade Mode (Instant signals for active trading)**
✅ **Dual MA Support (Fast & Slow MA with multiple types: SMA, EMA, WMA, VWMA)**
✅ **Date Filter (Focus on specific trading periods)**
✅ **Win/Loss Tracking (Performance analytics with success rate)**
---
### **🚀 Why Choose Buy/Sell Ei?**
✔ **Precision:** Reduces false signals with strict pattern rules.
✔ **Flexibility:** Works in both live trading and backtesting modes.
✔ **User-Friendly:** Clear labels and alerts for easy decision-making.
✔ **Adaptive:** Compatible with all timeframes (M1 to Monthly).
---
### **🛠 How It Works:**
1. **Trend Confirmation:** Uses MAs to filter trades in the trend’s direction.
2. **Pattern Recognition:** Detects "Ready to Buy/Sell" and confirmed signals.
3. **Momentum Check:** Optional filter for consecutive bullish/bearish candles.
4. **Live Alerts:** Labels appear instantly in Live Trade Mode.
---
### **📊 Ideal For:**
- **Day Traders** (Scalping & Intraday)
- **Swing Traders** (Medium-term setups)
- **Technical Analysts** (Backtesting strategies)
**🔧 Designed by Sahar Chadri | Optimized for TradingView**
**🎯 Trade Smarter, Not Harder!**
MTF PO (3TF)Title: SmartMA Multi-Timeframe Signal Strategy
Description (English):
This indicator provides buy/sell signals based on a multi-timeframe adaptive moving average. It allows traders to align short-term entries with higher time-frame trends. The script integrates a trend-following logic that reacts to price crossovers and adaptive MA slope, helping traders reduce noise and improve entry precision.
概要（日本語）
このインジケーターは、複数時間足の適応型移動平均線（SmartMA）を用いて売買シグナルを生成します。下位足でのエントリーが、上位足のトレンドと一致するよう設計されており、ノイズの除去とトレード精度の向上に貢献します。価格のクロスとMAの傾きを用いたトレンドフォロー型ロジックを搭載しています。
特徴
上位時間足の移動平均（SmartMA）と価格のクロスを検出
傾きフィルターによるトレンド整合性チェック
上位足に合わせて下位足のシグナルを制限
チャート上にシンプルなBuy/Sellラベルを表示
EMA, SMA, RMAなどのカスタム選択が可能
使用方法
チャートにインジケーターを追加し、上位足（例：1時間）と現在の時間足（例：5分）を設定
トレンド方向に沿ったタイミングでエントリーを検討
複数フィルターを用いることで、レンジ相場での誤認識を回避可能
注意事項
本インジケーターは補助的な分析ツールです。過去のパフォーマンスが将来を保証するものではありません。
スクリプトは再描画しない設計ですが、時間足の切り替え等で見た目が変わる可能性があります。
戦略構築には他のリスク管理指標との併用を推奨します。
Long Bar With ATR Multi Timframe | Amoo HassanLong Bar with ATR Multi Timeframe | Amoo Hassan
Looking for a smarter way to spot powerful moves in the market?
Long Bar with ATR Multi Timeframe is built exactly for that!
This tool helps you catch strong trend breakouts and potential reversals — in a simple, clear, and effective way.
What This Script Does:
Detects Long Bars: It looks for candles with a larger body compared to recent averages and confirms them with ATR (Average True Range). Only truly significant moves are highlighted.
Trend Filtering: Uses fast and slow moving averages (60 EMA, 34 EMA, and 200 SMA) to check if the overall market trend supports your trade.
Multi-Timeframe Supertrend: Supertrend signals are combined across different timeframes to give extra confirmation and reduce false signals.
Sharp Peaks and Valleys: Special candlestick patterns like sharp tops and bottoms are detected automatically.
Smart Trading Sessions: Trades are filtered based on the most active trading hours, avoiding dead times when price action is messy.
Important Date Control: On days with historically strange price action (like the 13th and 20th), the script stays cautious by disabling trades.
Clear Buy and Sell Labels: When all conditions are aligned, you'll see clean and clear "BUY" or "SELL" signals right on your chart.
Why You'll Like It:
It's easy to use, even if you're not a technical analysis expert.
It helps you avoid bad trades and focus on quality setups.
It fits into your existing trading system — or it can work as a standalone entry tool.
Friendly Reminder:
No indicator is 100% perfect! Always combine signals with good risk management and your own judgment.
And remember: Past results don't guarantee future performance.
Best Timeframes:
For the best results, we recommend using this script on 5-minute and 1-minute timeframes.
RSI Full Forecast [Titans_Invest]RSI Full Forecast
Get ready to experience the ultimate evolution of RSI-based indicators – the RSI Full Forecast, a boosted and even smarter version of the already powerful: RSI Forecast
Now featuring over 40 additional entry conditions (forecasts), this indicator redefines the way you view the market.
AI-Powered RSI Forecasting:
Using advanced linear regression with the least squares method – a solid foundation for machine learning - the RSI Full Forecast enables you to predict future RSI behavior with impressive accuracy.
But that’s not all: this new version also lets you monitor future crossovers between the RSI and the MA RSI, delivering early and strategic signals that go far beyond traditional analysis.
You’ll be able to monitor future crossovers up to 20 bars ahead, giving you an even broader and more precise view of market movements.
See the Future, Now:
• Track upcoming RSI & RSI MA crossovers in advance.
• Identify potential reversal zones before price reacts.
• Uncover statistical behavior patterns that would normally go unnoticed.
40+ Intelligent Conditions:
The new layer of conditions is designed to detect multiple high-probability scenarios based on historical patterns and predictive modeling. Each additional forecast is a window into the price's future, powered by robust mathematics and advanced algorithmic logic.
Full Customization:
All parameters can be tailored to fit your strategy – from smoothing periods to prediction sensitivity. You have complete control to turn raw data into smart decisions.
Innovative, Accurate, Unique:
This isn’t just an upgrade. It’s a quantum leap in technical analysis.
RSI Full Forecast is the first of its kind: an indicator that blends statistical analysis, machine learning, and visual design to create a true real-time predictive system.
⯁ SCIENTIFIC BASIS LINEAR REGRESSION
Linear Regression is a fundamental method of statistics and machine learning, used to model the relationship between a dependent variable y and one or more independent variables 𝑥.
The general formula for a simple linear regression is given by:
y = β₀ + β₁x + ε
β₁ = Σ((xᵢ - x̄)(yᵢ - ȳ)) / Σ((xᵢ - x̄)²)
β₀ = ȳ - β₁x̄
Where:
y = is the predicted variable (e.g. future value of RSI)
x = is the explanatory variable (e.g. time or bar index)
β0 = is the intercept (value of 𝑦 when 𝑥 = 0)
𝛽1 = is the slope of the line (rate of change)
ε = is the random error term
The goal is to estimate the coefficients 𝛽0 and 𝛽1 so as to minimize the sum of the squared errors — the so-called Random Error Method Least Squares.
⯁ LEAST SQUARES ESTIMATION
To minimize the error between predicted and observed values, we use the following formulas:
β₁ = /
β₀ = ȳ - β₁x̄
Where:
∑ = sum
x̄ = mean of x
ȳ = mean of y
x_i, y_i = individual values of the variables.
Where:
x_i and y_i are the means of the independent and dependent variables, respectively.
i ranges from 1 to n, the number of observations.
These equations guarantee the best linear unbiased estimator, according to the Gauss-Markov theorem, assuming homoscedasticity and linearity.
⯁ LINEAR REGRESSION IN MACHINE LEARNING
Linear regression is one of the cornerstones of supervised learning. Its simplicity and ability to generate accurate quantitative predictions make it essential in AI systems, predictive algorithms, time series analysis, and automated trading strategies.
By applying this model to the RSI, you are literally putting artificial intelligence at the heart of a classic indicator, bringing a new dimension to technical analysis.
⯁ VISUAL INTERPRETATION
Imagine an RSI time series like this:
Time →
RSI →
The regression line will smooth these values and extend them n periods into the future, creating a predicted trajectory based on the historical moment. This line becomes the predicted RSI, which can be crossed with the actual RSI to generate more intelligent signals.
⯁ SUMMARY OF SCIENTIFIC CONCEPTS USED
Linear Regression Models the relationship between variables using a straight line.
Least Squares Minimizes the sum of squared errors between prediction and reality.
Time Series Forecasting Estimates future values based on historical data.
Supervised Learning Trains models to predict outputs from known inputs.
Statistical Smoothing Reduces noise and reveals underlying trends.
⯁ WHY THIS INDICATOR IS REVOLUTIONARY
Scientifically-based: Based on statistical theory and mathematical inference.
Unprecedented: First public RSI with least squares predictive modeling.
Intelligent: Built with machine learning logic.
Practical: Generates forward-thinking signals.
Customizable: Flexible for any trading strategy.
⯁ CONCLUSION
By combining RSI with linear regression, this indicator allows a trader to predict market momentum, not just follow it.
RSI Full Forecast is not just an indicator — it is a scientific breakthrough in technical analysis technology.
⯁ Example of simple linear regression, which has one independent variable:
⯁ In linear regression, observations ( red ) are considered to be the result of random deviations ( green ) from an underlying relationship ( blue ) between a dependent variable ( y ) and an independent variable ( x ).
⯁ Visualizing heteroscedasticity in a scatterplot against 100 random fitted values using Matlab:
⯁ The data sets in the Anscombe's quartet are designed to have approximately the same linear regression line (as well as nearly identical means, standard deviations, and correlations) but are graphically very different. This illustrates the pitfalls of relying solely on a fitted model to understand the relationship between variables.
⯁ The result of fitting a set of data points with a quadratic function:
_________________________________________________
🔮 Linear Regression: PineScript Technical Parameters 🔮
_________________________________________________
Forecast Types:
• Flat: Assumes prices will remain the same.
• Linreg: Makes a 'Linear Regression' forecast for n periods.
Technical Information:
ta.linreg (built-in function)
Linear regression curve. A line that best fits the specified prices over a user-defined time period. It is calculated using the least squares method. The result of this function is calculated using the formula: linreg = intercept + slope * (length - 1 - offset), where intercept and slope are the values calculated using the least squares method on the source series.
Syntax:
• Function: ta.linreg()
Parameters:
• source: Source price series.
• length: Number of bars (period).
• offset: Offset.
• return: Linear regression curve.
This function has been cleverly applied to the RSI, making it capable of projecting future values based on past statistical trends.
______________________________________________________
______________________________________________________
⯁ WHAT IS THE RSI❓
The Relative Strength Index (RSI) is a technical analysis indicator developed by J. Welles Wilder. It measures the magnitude of recent price movements to evaluate overbought or oversold conditions in a market. The RSI is an oscillator that ranges from 0 to 100 and is commonly used to identify potential reversal points, as well as the strength of a trend.
⯁ HOW TO USE THE RSI❓
The RSI is calculated based on average gains and losses over a specified period (usually 14 periods). It is plotted on a scale from 0 to 100 and includes three main zones:
• Overbought: When the RSI is above 70, indicating that the asset may be overbought.
• Oversold: When the RSI is below 30, indicating that the asset may be oversold.
• Neutral Zone: Between 30 and 70, where there is no clear signal of overbought or oversold conditions.
______________________________________________________
______________________________________________________
⯁ ENTRY CONDITIONS
The conditions below are fully flexible and allow for complete customization of the signal.
______________________________________________________
______________________________________________________
🔹 CONDITIONS TO BUY 📈
______________________________________________________
• Signal Validity: The signal will remain valid for X bars .
• Signal Sequence: Configurable as AND or OR .
📈 RSI Conditions:
🔹 RSI > Upper
🔹 RSI < Upper
🔹 RSI > Lower
🔹 RSI < Lower
🔹 RSI > Middle
🔹 RSI < Middle
🔹 RSI > MA
🔹 RSI < MA
📈 MA Conditions:
🔹 MA > Upper
🔹 MA < Upper
🔹 MA > Lower
🔹 MA < Lower
📈 Crossovers:
🔹 RSI (Crossover) Upper
🔹 RSI (Crossunder) Upper
🔹 RSI (Crossover) Lower
🔹 RSI (Crossunder) Lower
🔹 RSI (Crossover) Middle
🔹 RSI (Crossunder) Middle
🔹 RSI (Crossover) MA
🔹 RSI (Crossunder) MA
🔹 MA (Crossover) Upper
🔹 MA (Crossunder) Upper
🔹 MA (Crossover) Lower
🔹 MA (Crossunder) Lower
📈 RSI Divergences:
🔹 RSI Divergence Bull
🔹 RSI Divergence Bear
📈 RSI Forecast:
🔹 RSI (Crossover) MA Forecast
🔹 RSI (Crossunder) MA Forecast
🔹 RSI Forecast 1 > MA Forecast 1
🔹 RSI Forecast 1 < MA Forecast 1
🔹 RSI Forecast 2 > MA Forecast 2
🔹 RSI Forecast 2 < MA Forecast 2
🔹 RSI Forecast 3 > MA Forecast 3
🔹 RSI Forecast 3 < MA Forecast 3
🔹 RSI Forecast 4 > MA Forecast 4
🔹 RSI Forecast 4 < MA Forecast 4
🔹 RSI Forecast 5 > MA Forecast 5
🔹 RSI Forecast 5 < MA Forecast 5
🔹 RSI Forecast 6 > MA Forecast 6
🔹 RSI Forecast 6 < MA Forecast 6
🔹 RSI Forecast 7 > MA Forecast 7
🔹 RSI Forecast 7 < MA Forecast 7
🔹 RSI Forecast 8 > MA Forecast 8
🔹 RSI Forecast 8 < MA Forecast 8
🔹 RSI Forecast 9 > MA Forecast 9
🔹 RSI Forecast 9 < MA Forecast 9
🔹 RSI Forecast 10 > MA Forecast 10
🔹 RSI Forecast 10 < MA Forecast 10
🔹 RSI Forecast 11 > MA Forecast 11
🔹 RSI Forecast 11 < MA Forecast 11
🔹 RSI Forecast 12 > MA Forecast 12
🔹 RSI Forecast 12 < MA Forecast 12
🔹 RSI Forecast 13 > MA Forecast 13
🔹 RSI Forecast 13 < MA Forecast 13
🔹 RSI Forecast 14 > MA Forecast 14
🔹 RSI Forecast 14 < MA Forecast 14
🔹 RSI Forecast 15 > MA Forecast 15
🔹 RSI Forecast 15 < MA Forecast 15
🔹 RSI Forecast 16 > MA Forecast 16
🔹 RSI Forecast 16 < MA Forecast 16
🔹 RSI Forecast 17 > MA Forecast 17
🔹 RSI Forecast 17 < MA Forecast 17
🔹 RSI Forecast 18 > MA Forecast 18
🔹 RSI Forecast 18 < MA Forecast 18
🔹 RSI Forecast 19 > MA Forecast 19
🔹 RSI Forecast 19 < MA Forecast 19
🔹 RSI Forecast 20 > MA Forecast 20
🔹 RSI Forecast 20 < MA Forecast 20
______________________________________________________
______________________________________________________
🔸 CONDITIONS TO SELL 📉
______________________________________________________
• Signal Validity: The signal will remain valid for X bars .
• Signal Sequence: Configurable as AND or OR .
📉 RSI Conditions:
🔸 RSI > Upper
🔸 RSI < Upper
🔸 RSI > Lower
🔸 RSI < Lower
🔸 RSI > Middle
🔸 RSI < Middle
🔸 RSI > MA
🔸 RSI < MA
📉 MA Conditions:
🔸 MA > Upper
🔸 MA < Upper
🔸 MA > Lower
🔸 MA < Lower
📉 Crossovers:
🔸 RSI (Crossover) Upper
🔸 RSI (Crossunder) Upper
🔸 RSI (Crossover) Lower
🔸 RSI (Crossunder) Lower
🔸 RSI (Crossover) Middle
🔸 RSI (Crossunder) Middle
🔸 RSI (Crossover) MA
🔸 RSI (Crossunder) MA
🔸 MA (Crossover) Upper
🔸 MA (Crossunder) Upper
🔸 MA (Crossover) Lower
🔸 MA (Crossunder) Lower
📉 RSI Divergences:
🔸 RSI Divergence Bull
🔸 RSI Divergence Bear
📉 RSI Forecast:
🔸 RSI (Crossover) MA Forecast
🔸 RSI (Crossunder) MA Forecast
🔸 RSI Forecast 1 > MA Forecast 1
🔸 RSI Forecast 1 < MA Forecast 1
🔸 RSI Forecast 2 > MA Forecast 2
🔸 RSI Forecast 2 < MA Forecast 2
🔸 RSI Forecast 3 > MA Forecast 3
🔸 RSI Forecast 3 < MA Forecast 3
🔸 RSI Forecast 4 > MA Forecast 4
🔸 RSI Forecast 4 < MA Forecast 4
🔸 RSI Forecast 5 > MA Forecast 5
🔸 RSI Forecast 5 < MA Forecast 5
🔸 RSI Forecast 6 > MA Forecast 6
🔸 RSI Forecast 6 < MA Forecast 6
🔸 RSI Forecast 7 > MA Forecast 7
🔸 RSI Forecast 7 < MA Forecast 7
🔸 RSI Forecast 8 > MA Forecast 8
🔸 RSI Forecast 8 < MA Forecast 8
🔸 RSI Forecast 9 > MA Forecast 9
🔸 RSI Forecast 9 < MA Forecast 9
🔸 RSI Forecast 10 > MA Forecast 10
🔸 RSI Forecast 10 < MA Forecast 10
🔸 RSI Forecast 11 > MA Forecast 11
🔸 RSI Forecast 11 < MA Forecast 11
🔸 RSI Forecast 12 > MA Forecast 12
🔸 RSI Forecast 12 < MA Forecast 12
🔸 RSI Forecast 13 > MA Forecast 13
🔸 RSI Forecast 13 < MA Forecast 13
🔸 RSI Forecast 14 > MA Forecast 14
🔸 RSI Forecast 14 < MA Forecast 14
🔸 RSI Forecast 15 > MA Forecast 15
🔸 RSI Forecast 15 < MA Forecast 15
🔸 RSI Forecast 16 > MA Forecast 16
🔸 RSI Forecast 16 < MA Forecast 16
🔸 RSI Forecast 17 > MA Forecast 17
🔸 RSI Forecast 17 < MA Forecast 17
🔸 RSI Forecast 18 > MA Forecast 18
🔸 RSI Forecast 18 < MA Forecast 18
🔸 RSI Forecast 19 > MA Forecast 19
🔸 RSI Forecast 19 < MA Forecast 19
🔸 RSI Forecast 20 > MA Forecast 20
🔸 RSI Forecast 20 < MA Forecast 20
______________________________________________________
______________________________________________________
🤖 AUTOMATION 🤖
• You can automate the BUY and SELL signals of this indicator.
______________________________________________________
______________________________________________________
⯁ UNIQUE FEATURES
______________________________________________________
Linear Regression: (Forecast)
Signal Validity: The signal will remain valid for X bars
Signal Sequence: Configurable as AND/OR
Condition Table: BUY/SELL
Condition Labels: BUY/SELL
Plot Labels in the Graph Above: BUY/SELL
Automate and Monitor Signals/Alerts: BUY/SELL
Linear Regression (Forecast)
Signal Validity: The signal will remain valid for X bars
Signal Sequence: Configurable as AND/OR
Condition Table: BUY/SELL
Condition Labels: BUY/SELL
Plot Labels in the Graph Above: BUY/SELL
Automate and Monitor Signals/Alerts: BUY/SELL
______________________________________________________
📜 SCRIPT : RSI Full Forecast
🎴 Art by : @Titans_Invest & @DiFlip
👨💻 Dev by : @Titans_Invest & @DiFlip
🎑 Titans Invest — The Wizards Without Gloves 🧤
✨ Enjoy!
______________________________________________________
o Mission 🗺
• Inspire Traders to manifest Magic in the Market.
o Vision 𐓏
• To elevate collective Energy 𐓷𐓏
Event-Based Multi MA v1.1📈 Event-Based Multi MA v1.1 — Smart Trading with Dynamic MA Updates
Overview
In a world where most moving averages blindly follow every candle, Event-Based Multi MA v1.1 introduces a smarter logic:
➡️ Update moving averages only when significant price movements occur.
Forget the noise. Focus on what's important.
This indicator recalculates your moving averages only after meaningful price shifts, allowing you to spot true trends and avoid market whipsaws.
Key Features
✅ Event-Driven Logic
Set events based on:
Points: Absolute price change
Percent: Relative price movement
ATR: Volatility-adjusted dynamic movement
✅ Seven Fully Customizable Moving Averages (MA1–MA7)
Each MA offers:
Custom timeframe
Selection of types (EMA, SMA, WMA, VWMA, HMA, LSMA, DEMA, TEMA, ALMA, RMA)
Adjustable lengths and colors
✅ Reduced Market Noise
MAs adjust only after important price actions — cutting down lag and false signals.
✅ Multi-Timeframe Analysis
You can blend moving averages from different timeframes (e.g., 15m, 1H, Daily) into a single chart — perfect for professional multi-frame strategy building.
Settings Explained
Event Trigger Type: Select Points, Percent, or ATR-based movement.
Event Threshold: The amount of price movement needed to trigger a new calculation.
ATR Length: If ATR mode is selected, this controls the sensitivity.
Each Moving Average (MA1 to MA7) has:
MA Type: Choose the smoothing method that suits your trading style.
Length: The number of bars used in the calculation.
Color: Customize visual styling.
Timeframe: Load MAs from different timeframes into your current chart.
How to Use It in Trading
🔹 Trend Confirmation
Wait for event-triggered updates. Fresh MAs after a significant move are much stronger signals than constantly refreshing MAs.
🔹 Momentum Breakouts
Combine short-term (e.g., MA1, MA2) and long-term (e.g., MA5, MA6) MAs. When short-term MAs cross above/below long-term after an event, it's a powerful breakout cue.
🔹 Dynamic Support/Resistance
Use slow-moving MAs like 100-200 length across different timeframes.
The event-based recalculation keeps them relevant to recent major price moves.
🔹 Volatility Filters
Switch to ATR-based events to adapt moving average updates during volatile periods and calm markets.
Why It Beats Traditional Moving Averages
🚀 No More Overfitting to Every Candle
You focus only on impactful price changes.
🚀 Multi-Timeframe Flexibility
Blend micro and macro views seamlessly in one chart.
🚀 Cleaner Signals, Less Noise
Event-triggered recalculations filter out useless minor price wobbles.
🚀 Customization Beyond Standard MAs
TEMA, HMA, ALMA, DEMA, VWMA — all included for ultra-fine-tuned strategies.
✨ Ready to Upgrade Your Trading?
Forget the old, slow MAs.
Use intelligence. Trade events, not noise.
→ Add Event-Based Multi MA v1.1 to your chart and experience true precision!
CAM | Currency Strength PerformanceOverview 📊
The "CAM | Currency Strength Performance" indicator is a powerful forex trading tool that blends traditional composite analysis with dynamic performance tracking! 🚀 It compares the strength of a currency pair’s base and quote currencies against the pair’s price movement, offering traders a clear, colorful view of market dynamics through normalized lines and an upgraded strength-based histogram. 🎨
How It Works 🛠️
🔍 Automatic Currency Detection: Instantly identifies the base (e.g., XAU in XAUUSD) and quote (e.g., USD) currencies—no setup required!
📈 Composite Strength Calculation: Measures each currency’s power by averaging its exchange rate against a basket of 10 major currencies (GBP, EUR, CHF, USD, AUD, CAD, NZD, JPY, NOK, XAU). A classic strength snapshot! 💪
📏 Normalization: Scales composites and pair prices with a smart formula (price minus moving average, divided by standard deviation) for easy comparison. ⚖️
🎨 Dynamic Visualization:
Plots 3 normalized lines with unique colors:
Base Composite
Quote Composite
Actual Pair (⚪ white)
Benefits 🌈
🧠 Simplified Analysis: Normalized composites make static strength clear, while the new histogram reveals dynamic trends.
✅ Enhanced Decisions: Color-coded lines and a performance-driven histogram pinpoint trading opportunities fast—spot when base or quote takes the lead! 🚨
⏱️ Time-Saver: Auto-detection and dual metrics (static + dynamic) streamline your workflow.
🌍 Versatile: Works across all supported pairs, with colors adapting to currencies (e.g., orange AUD, yellow XAU).
👀 Eye-Catching: Vibrant visuals (purple GBP, green USD) and a purple histogram make it engaging and intuitive.
How It Helps Traders 💡
📈 Spot Trends: Normalized lines show steady strength; the histogram tracks recent outperformance—perfect for timing trades.
⚠️ Catch Divergences: See when strength shifts (e.g., base surging, quote lagging) don’t match price—hello, reversal signals! 🔍
🛡️ Manage Risk: Levels (1, -1) and histogram swings help gauge overbought/oversold conditions for smarter stops.
🔮 Big Picture: Combines static strength with dynamic momentum, giving a fuller market view for scalping or long-term strategies.
Conclusion ✨
"CAM | Currency Strength Performance" now fuses classic strength analysis with real-time performance tracking. With its upgraded histogram, traders get a dual lens—static composites plus dynamic strength—turning complex forex data into actionable insights! 📈💰
Mar 11
Release Notes
✨ New Feature: Strength Histogram:
Tracks the performance of base and quote currencies over a customizable lookback period (default: 10 bars). 📅
Calculates strength as the currency’s percentage change minus the basket’s average change, then plots the difference (base - quote) as a purple histogram. 📊
⚙️ Customizable Settings: Adjust Scaling Period (50), Histogram Scale Factor (0.5), Lookback Bars (10), and Levels (1, -1) to fit your trading style! 🎚️
How It Differs from the Previous Version 🔄
Old Histogram:
Showed the static difference between normalized base and quote composites—a snapshot of relative strength at a single point in time. 📷
Focused on current exchange rate levels, scaled by the pair’s normalized price movement.
New Histogram:
Displays the dynamic strength difference (base strength - quote strength) over a user-defined lookback period (e.g., 10 bars). 🌊
Measures past and current performance by calculating percentage changes relative to a basket, highlighting momentum and trends. 📈
Offers a more responsive, time-based view, showing how each currency has performed recently rather than just its absolute strength.
OHCL HTF Trend Levels🚀 OHCL HTF Trend Levels — Master the Market’s Hidden Currents
Crafted by @TIMELESS1_ |
🔍 Overview
Tired of chasing candles and second-guessing trends? Step into a new level of clarity with OHCL HTF Trend Levels — a smart, adaptive trend-mapping indicator that extracts powerful insight from higher-timeframe OHCL data and projects it with precision onto your lower-timeframe chart..
Whether you’re a scalper looking for sniper entries or a swing trader who lives by the HTF narrative, this tool gives you a strategic edge by aligning your trades with the true direction of momentum.
🎯 What This Script Does
🔹 HTF Trend Zones:
Automatically identifies bullish and bearish continuations using higher-timeframe Open, High, Close, and Low values — and plots key levels where price shows true directional intent.
🔹 Session-Aware Logic:
Resets and recalculates trend state daily (or based on your chosen HTF), ensuring fresh, relevant signals that don’t lag or drift.
🔹 Dynamic Trend Detection:
Tracks when price breaks beyond the previous session’s highs or lows with sustained momentum — then confirms the trend with multi-condition validation. If a breakout fails? It smartly invalidates the trend and keeps your chart clean.
🔹 Real-Time EMA with Color Coding:
An adaptive EMA plotted directly on your chart, with dynamic color changes based on trend direction — bullish, bearish, or neutral — for instant visual feedback.
🔹 Customizable Buy/Sell Signals:
Optional, clean Buy/Sell labels are printed when trend shifts are confirmed, helping you catch pivots early without cluttering your view.
🔹 Take Profit Flags (Optional):
When a trend neutralizes, the script can print "TP" flags to let you know it's time to secure profits or prepare for a potential reversal.
🎨 Fully Customizable
🛠️ Calculation Timeframe (HTF): Set your own higher timeframe (e.g., 4H, 1D, 1W) for OHCL analysis.
🖍️ Color & Style Settings: Choose your colors for bullish, bearish, and neutral states — customize line width, signal label styles, and text.
📏 Baseline Length Control: Adjust how far horizontal trend levels extend into the future.
📡 Signal Toggle: Turn Buy/Sell and TP labels on/off to suit your strategy or visual preference.
📊 Use Cases
✅ Intraday Traders: See where the daily momentum is breaking, even on a 15-minute chart.
✅ Swing Traders: Align lower-timeframe entries with daily or weekly breakouts.
✅ Trend Followers: Ride clean, confirmed moves without second-guessing false starts.
✅ Price Action Purists: Strip away noise and trade based on clean levels and raw momentum.
✅ Scalpers: Use trend shifts for laser-sharp entry zones backed by HTF context.
🌐 Why It Works
Most indicators are reactive — they lag behind price and fail to show the broader context. This script flips that dynamic by borrowing the strength of higher timeframes and compressing it into real-time insights. Instead of drawing lines manually or guessing trend direction, you get:
Visual breakout levels with built-in validation
Instant awareness of when a trend starts, continues, or fails
A clearer roadmap for entries, exits, and key price zones
📌 Final Thoughts
This isn’t just another indicator — it’s a framework for disciplined trading. It encourages patience, precision, and perspective. With a visual layout that respects your screen space and logic rooted in true price action, OHCL HTF Trend Levels brings serious firepower to any strategy.
Whether you’re day trading volatility or riding macro swings, this script gives you the structure you need and the simplicity you want.
💬 Drop it on your chart. Let the levels guide you. Trade with purpose.
Trend smarter. Trade harder. Stay timeless. ✊📈
False Breakout PRO📌 False Breakout PRO – Enhanced False Breakout Detection Tool
False Breakout PRO is an advanced version of the original "False Breakout (Expo)" indicator by .
This tool is designed to help traders detect bullish and bearish false breakouts with high precision. By offering a more customizable and smarter interface, it helps reduce noise and false signals through various filtering and visualization options.
🔍 How It Works
The script continuously scans for new highs or lows based on a user-defined period.
It identifies false breakouts when price briefly breaks out of a recent high/low but then quickly reverses. These are often seen as market traps, and this indicator aims to highlight them early.
✅ Key Features in the PRO Version
📌 Toggle to display all signals or only the most recent one
💬 Price labels with clean text and optional visibility
📊 Smart summary table for instant signal reference
📈 Auto-extended lines that follow price action
⚡ Lightweight and optimized for speed and real-time responsiveness
🛠 Configurable Settings
False breakout detection period
Signal validity window (how long a signal is considered active)
Smoothing types: Raw (💎), WMA, or HMA
Aggressive mode for early signal generation
Enable or disable:
Price labels
Summary table
Only latest signal mode
⚠️ License Notice
This script is derived from @Zeiierman’s original work and is published under the Creative Commons BY-NC-SA 4.0 license.
🔒 Commercial use is NOT allowed. Attribution to the original author is required.
🇸🇦 False Breakout PRO – أداة متقدمة لكشف الكسر الكاذب
False Breakout PRO هو إصدار مطور من السكريبت الأصلي "False Breakout (Expo)" من تطوير ، وتم تحسينه لتقديم تجربة استخدام أكثر احترافية ومرونة للمستخدمين للكشف عن الكسر الكاذب
🔍 آلية العمل
يقوم السكريبت بمراقبة القمم والقيعان الجديدة بناءً على فترة يتم تحديدها من قبل المستخدم.
ثم يحدد الكسر الكاذب عندما يكسر السعر مستوى مرتفعًا أو منخفضًا ثم يعود بسرعة. هذه الحركة غالبًا ما تكون خداعًا للمضاربين، ويقوم المؤشر بكشفها مبكرًا.
✅ أهم ميزات النسخة PRO
📌 التبديل بين عرض جميع الإشارات أو أحدث إشارة فقط
💬 عرض سعر الإشارة بنص نظيف واختياري
📊 جدول ملخص ذكي لعرض آخر الإشارات بسرعة
📈 تمديد تلقائي للخطوط لمتابعة حركة السعر
⚡ واجهة خفيفة وسريعة ومناسبة للعرض اللحظي
🛠 الإعدادات القابلة للتعديل
فترة تحديد الكسر الكاذب
مدة صلاحية الإشارة
أنواع الفلترة: 💎 خام، WMA، أو HMA
وضع الكشف العدواني (Aggressive)
خيارات العرض:
إظهار أو إخفاء السعر
إظهار أو إخفاء الجدول
عرض آخر إشارة فقط
⚠️ رخصة الاستخدام
تم تطوير هذا السكريبت بالاعتماد على السكريبت الأصلي من @Zeiierman
وهو مرخص بموجب Creative Commons BY-NC-SA 4.0
🔒 الاستخدام التجاري غير مسموح. ويجب نسب الفضل للمطور الأصلي.
[TehThomas] - ICT Inversion Fair value Gap (IFVG) The Inversion Fair Value Gap (IFVG) indicator is a powerful tool designed for traders who utilize ICT (Inner Circle Trader) strategies. It focuses on identifying and displaying Inversion Fair Value Gaps, which are critical zones that emerge when traditional Fair Value Gaps (FVGs) are invalidated by price action. These gaps represent key areas where price often reacts, making them essential for identifying potential reversals, trend continuations, and liquidity zones.
What Are Inversion Fair Value Gaps?
Inversion Fair Value Gaps occur when price revisits a traditional FVG and breaks through it, effectively flipping its role in the market. For example:
A bullish FVG that is invalidated becomes a bearish zone, often acting as resistance.
A bearish FVG that is invalidated transforms into a bullish zone, serving as support.
These gaps are significant because they often align with institutional trading activity. They highlight areas where large orders have been executed or where liquidity has been targeted. Understanding these gaps provides traders with a deeper insight into market structure and helps them anticipate future price movements with greater accuracy.
Why This Strategy Works
The IFVG concept is rooted in ICT principles, which emphasize liquidity dynamics, market inefficiencies, and institutional order flow. Traditional FVGs represent imbalances in price action caused by gaps between candles. When these gaps are invalidated, they become inversion zones that can act as magnets for price. These zones frequently serve as high-probability areas for price reversals or trend continuations.
This strategy works because it aligns with how institutional traders operate. Inversion gaps often mark areas of interest for "smart money," making them reliable indicators of potential market turning points. By focusing on these zones, traders can align their strategies with institutional behavior and improve their overall trading edge.
How the Indicator Works
This indicator simplifies the process of identifying and tracking IFVGs by automating their detection and visualization on the chart. It scans the chart in real-time to identify bullish and bearish FVGs that meet user-defined thresholds for inversion. Once identified, these gaps are dynamically displayed on the chart with distinct colors for bullish and bearish zones.
The indicator also tracks whether these gaps are mitigated or broken by price action. When an IFVG is broken, it extends the zone for a user-defined number of bars to visualize its potential role as a new support or resistance level. Additionally, alerts can be enabled to notify traders when new IFVGs form or when existing ones are broken, ensuring timely decision-making in fast-moving markets.
Key Features
Automatic Detection: The indicator automatically identifies bullish and bearish IFVGs based on user-defined thresholds.
Dynamic Visualization: It displays IFVGs directly on the chart with customizable colors for easy differentiation.
Real-Time Updates: The status of each IFVG is updated dynamically based on price action.
Zone Extensions: Broken IFVGs are extended to visualize their potential as support or resistance levels.
Alerts: Notifications can be set up to alert traders when key events occur, such as the formation or breaking of an IFVG.
These features make the tool highly efficient and reduce the need for manual analysis, allowing traders to focus on execution rather than tedious chart work.
Benefits of Using This Indicator
The IFVG indicator offers several advantages that make it an indispensable tool for ICT traders. By automating the detection of inversion gaps, it saves time and reduces errors in analysis. The clearly defined zones improve risk management by providing precise entry points, stop-loss levels, and profit targets based on market structure.
This tool is also highly versatile and adapts seamlessly across different timeframes. Whether you’re scalping lower timeframes or swing trading higher ones, it provides actionable insights tailored to your trading style. Furthermore, by aligning your strategy with institutional logic, you gain a significant edge in anticipating market movements.
Practical Applications
This indicator can be used across various trading styles:
Scalping: Identify quick reversal points on lower timeframes using real-time alerts.
Day Trading: Use inversion gaps as key levels for intraday support/resistance or trend continuation setups.
Swing Trading: Analyse higher timeframes to identify major inversion zones that could act as critical turning points in larger trends.
By integrating this tool into your trading routine, you can streamline your analysis process and focus on executing high-probability setups.
Conclusion
The Inversion Fair Value Gap (IFVG) indicator is more than just a technical analysis tool—it’s a strategic ally for traders looking to refine their edge in the markets. By automating the detection and tracking of inversion gaps based on ICT principles, it simplifies complex market analysis while maintaining accuracy and depth. Whether you’re new to ICT strategies or an experienced trader seeking greater precision, this indicator will elevate your trading game by aligning your approach with institutional behavior.
If you’re serious about improving your trading results while saving time and effort, this tool is an essential addition to your toolkit. It provides clarity in chaotic markets, enhances precision in trade execution, and ensures you never miss critical opportunities in your trading journey.
__________________________________________
Thanks for your support!
If you found this idea helpful or learned something new, drop a like 👍 and leave a comment, I’d love to hear your thoughts! 🚀
Make sure to follow me for more price action insights, free indicators, and trading strategies. Let’s grow and trade smarter together! 📈
Qullamaggie [Modified] | FractalystWhat's the purpose of this strategy?
The strategy aims to identify high-probability breakout setups in trending markets, inspired by Kristjan "Qullamaggie" Kullamägi’s approach.
It focuses on capturing explosive price moves after periods of consolidation, using technical criteria like moving averages, breakouts, trailing stop-loss and momentum confirmation.
Ideal for swing traders seeking to ride strong trends while managing risk.
----
How does the strategy work?
The strategy follows a systematic process to capture high-momentum breakouts:
Pre-Breakout Criteria:
Prior Price Surge: Identifies stocks that have rallied 30-100%+ in recent month(s), signaling strong underlying momentum (per Qullamaggie’s volatility expansion principles).
Consolidation Phase: Looks for a tightening price range (e.g., flag, pennant, or tight base), indicating a potential "coiling" before continuation.
Trend Confirmation: Uses moving averages (e.g., 20/50/200 EMA) to ensure the stock is trading above key averages on the daily chart, confirming an uptrend.
Price Break: Enters when price clears the consolidation high with conviction.
Risk Management:
Initial Stop Loss: Placed below the consolidation low or a recent swing point to limit downside.
Break-Even Adjustment: Moves stop loss to breakeven once the trade reaches 1.5x risk-to-reward (RR), securing a "free trade" while letting winners run.
Trailing Stop (Unique Edge):
Market Structure Trailing: Instead of trailing via moving averages, the stop is dynamically adjusted using structural invalidation level. This adapts to price action, allowing the trade to stay open during volatile retracements while locking in gains as new structure forms.
Why This Matters: Most strategies use rigid trailing stops (e.g., below the 10EMA), which often exit prematurely in choppy markets. By trailing based on structure, this strategy avoids "noise" and captures larger trends, directly boosting overall returns.
----
What markets or timeframes is this suited for?
This is a long-only strategy designed for trending markets, and it performs best in:
Markets: Stocks (especially high-growth, liquid equities), cryptocurrencies (major pairs with strong volatility), commodities (e.g., oil, gold), and futures (index/commodity futures).
Timeframes: Primarily daily charts for swing trades (1-30 day holds), though weekly charts can help confirm broader trends.
Key Advantage: The TradingView script allows instant backtesting with adjustable parameters
You can:
- Test historical performance across multiple markets to identify which assets align best with the strategy.
- Optimize settings (e.g., trailing stop sensitivity, moving averages etc.) to match a market’s volatility profile.
Build a diversified portfolio by filtering for markets that show consistent profitability in backtests.
For example, you might discover cryptos require tighter trailing stops due to volatility, while stocks thrive with wider structural stops. The script automates this analysis, letting you to trade confidently.
----
What indicators or tools does the strategy use?
The strategy combines customizable technical tools with strict anti-lookahead safeguards:
Core Indicators:
Moving Averages: Adjustable periods (e.g., 20/50/200 EMA or SMA) and timeframes (daily/weekly) to confirm trend alignment. Users can test combinations (e.g., 10EMA vs. 20EMA) to optimize for specific markets.
Breakout Parameters:
Consolidation Length: Adjustable window to define the "tightness" of the pre-breakout pattern.
Entry Models: Flexible entry logics (Breakouts and fractals)
Anti-Lookahead Design:
All calculations (e.g., moving averages, consolidation ranges, volume averages) use only closed/confirmed data available at the time of the signal.
----
How do I manage risk with this strategy?
The strategy prioritizes customizable risk controls to align with your trading style and account size:
User-Defined Risk Inputs:
Risk Per Trade: Set a % of Equity (e.g., 1-2%) to determine position size. The strategy auto-calculates shares/contracts to match your selected risk per trade.
Flexibility: Choose between fixed risk or equity-based scaling.
The script adjusts position sizing dynamically based on your selection.
Pyramiding Feature:
Customizable Entries: Adjust the number of pyramiding trades allowed (e.g., 1-3 additional positions) in the strategy settings. Each new entry is triggered only if the prior trade hits its 1.5x RR target and the trend remains intact.
Risk-Scaled Additions: New positions use profits from prior trades, compounding gains without increasing initial risk.
Risk-Free Trade Mechanic:
Once a trade reaches 1.5x RR, the stop loss is moved to breakeven, eliminating downside risk.
The strategy then opens a new position (if pyramiding is enabled) using a portion of the locked-in profit. This "snowballs" winners while keeping total capital exposure stable.
Impact on Net Profit & Drawdown:
Net Profit Boost: Pyramiding lets you ride multi-leg trends aggressively. For example, a 100% runner could generate 2-3x more profit vs. a single-entry approach.
Controlled Drawdowns: Since new positions are funded by profits (not initial capital), max drawdown stays anchored to your original risk per trade (e.g., 1-2% of account). Even if later entries fail, the breakeven stop on prior trades protects overall equity.
Why This Works: Most strategies either over-leverage (increasing drawdowns) or exit too early. By recycling profits into new positions only after securing risk-free capital, this approach mimics hedge fund "scaling in" tactics while staying retail-trader friendly.
----
How does the strategy identify market structure for its trailing stoploss?
The strategy identifies market structure by utilizing an efficient logic with for loops to pinpoint the first swing candle that features a pivot of 2. This marks the beginning of the break of structure, where the market's previous trend or pattern is considered invalidated or changed.
----
What are the underlying calculations?
The underlying calculations involve:
Identifying Swing Points: The strategy looks for swing highs (marked with blue Xs) and swing lows (marked with red Xs). A swing high is identified when a candle's high is higher than the highs of the candles before and after it. Conversely, a swing low is when a candle's low is lower than the lows of the candles before and after it.
Break of Structure (BOS):
Bullish BOS: This occurs when the price breaks above the swing high level of the previous structure, indicating a potential shift to a bullish trend.
Bearish BOS: This happens when the price breaks below the swing low level of the previous structure, signaling a potential shift to a bearish trend.
Structural Liquidity and Invalidation:
Structural Liquidity: After a break of structure, liquidity levels are updated to the first swing high in a bullish BOS or the first swing low in a bearish BOS.
Structural Invalidation: If the price moves back to the level of the first swing low before the bullish BOS or the first swing high before the bearish BOS, it invalidates the break of structure, suggesting a potential reversal or continuation of the previous trend.
This method provides users with a technical approach to filter market regimes, offering an advantage by minimizing the risk of overfitting to historical data, which is often a concern with traditional indicators like moving averages.
By focusing on identifying pivotal swing points and the subsequent breaks of structure, the strategy maintains a balance between sensitivity to market changes and robustness against historical data anomalies, ensuring a more adaptable and potentially more reliable market analysis tool.
----
What entry criteria are used in this script?
The script uses two entry models for trading decisions: BreakOut and Fractal.
Underlying Calculations:
Breakout: The script records the most recent swing high by storing it in a variable. When the price closes above this recorded level, and all other predefined conditions are satisfied, the script triggers a breakout entry. This approach is considered conservative because it waits for the price to confirm a breakout above the previous high before entering a trade. As shown in the image, as soon as the price closes above the new candle (first tick), the long entry gets taken. The stop-loss is initially set and then moved to break-even once the price moves in favor of the trade.
Fractal: This method involves identifying a swing low with a period of 2, which means it looks for a low point where the price is lower than the two candles before and after it. Once this pattern is detected, the script executes the trade. This is an aggressive approach since it doesn't wait for further price confirmation. In the image, this is represented by the 'Fractal 2' label where the script identifies and acts on the swing low pattern.
----
What type of stop-loss identification method are used in this strategy?
This strategy employs two types of stop-loss methods: Initial Stop-loss and Trailing Stop-Loss.
Underlying Calculations:
Initial Stop-loss:
ATR Based: The strategy uses the Average True Range (ATR) to set an initial stop-loss, which helps in accounting for market volatility without predicting price direction.
Calculation:
- First, the True Range (TR) is calculated for each period, which is the greatest of:
- Current Period High - Current Period Low
- Absolute Value of Current Period High - Previous Period Close
- Absolute Value of Current Period Low - Previous Period Close
- The ATR is then the moving average of these TR values over a specified period, typically 14 periods by default. This ATR value can be used to set the stop-loss at a distance from the entry price that reflects the current market volatility.
Swing Low Based:
For this method, the stop-loss is set based on the most recent swing low identified in the market structure analysis. This approach uses the lowest point of the recent price action as a reference for setting the stop-loss.
Trailing Stop-Loss:
The strategy uses structural liquidity and structural invalidation levels across multiple timeframes to adjust the stop-loss once the trade is profitable. This method involves:
Detecting Structural Liquidity: After a break of structure, the liquidity levels are updated to the first swing high in a bullish scenario or the first swing low in a bearish scenario. These levels serve as potential areas where the price might find support or resistance, allowing the stop-loss to trail the price movement.
Detecting Structural Invalidation: If the price returns to the level of the first swing low before a bullish break of structure or the first swing high before a bearish break of structure, it suggests the trend might be reversing or invalidating, prompting the adjustment of the stop-loss to lock in profits or minimize losses.
By using these methods, the strategy dynamically adjusts the initial stop-loss based on market volatility, helping to protect against adverse price movements while allowing for enough room for trades to develop. The ATR-based stop-loss adapts to the current market conditions by considering the volatility, ensuring that the stop-loss is not too tight during volatile periods, which could lead to premature exits, nor too loose during calm markets, which might result in larger losses. Similarly, the swing low based stop-loss provides a logical exit point if the market structure changes unfavorably.
Each market behaves differently across various timeframes, and it is essential to test different parameters and optimizations to find out which trailing stop-loss method gives you the desired results and performance. This involves backtesting the strategy with different settings for the ATR period, the distance from the swing low, and how the trailing stop-loss reacts to structural liquidity and invalidation levels.
Through this process, you can tailor the strategy to perform optimally in different market environments, ensuring that the stop-loss mechanism supports the trade's longevity while safeguarding against significant drawdowns.
----
What type of break-even method is used in this strategy? What are the underlying calculations?
Moves the initial stop-loss to the entry price when the price reaches a certain RR ratio.
Calculation:
Break-even level = Entry Price + (Initial Risk * RR Ratio)
----
What tables are available in this script?
- Summary: Provides a general overview, displaying key performance parameters such as Net Profit, Profit Factor, Max Drawdown, Average Trade, Closed Trades and more.
Total Commission: Displays the cumulative commissions incurred from all trades executed within the selected backtesting window. This value is derived by summing the commission fees for each trade on your chart.
Average Commission: Represents the average commission per trade, calculated by dividing the Total Commission by the total number of closed trades. This metric is crucial for assessing the impact of trading costs on overall profitability.
Avg Trade: The sum of money gained or lost by the average trade generated by a strategy. Calculated by dividing the Net Profit by the overall number of closed trades. An important value since it must be large enough to cover the commission and slippage costs of trading the strategy and still bring a profit.
MaxDD: Displays the largest drawdown of losses, i.e., the maximum possible loss that the strategy could have incurred among all of the trades it has made. This value is calculated separately for every bar that the strategy spends with an open position.
Profit Factor: The amount of money a trading strategy made for every unit of money it lost (in the selected currency). This value is calculated by dividing gross profits by gross losses.
Avg RR: This is calculated by dividing the average winning trade by the average losing trade. This field is not a very meaningful value by itself because it does not take into account the ratio of the number of winning vs losing trades, and strategies can have different approaches to profitability. A strategy may trade at every possibility in order to capture many small profits, yet have an average losing trade greater than the average winning trade. The higher this value is, the better, but it should be considered together with the percentage of winning trades and the net profit.
Winrate: The percentage of winning trades generated by a strategy. Calculated by dividing the number of winning trades by the total number of closed trades generated by a strategy. Percent profitable is not a very reliable measure by itself. A strategy could have many small winning trades, making the percent profitable high with a small average winning trade, or a few big winning trades accounting for a low percent profitable and a big average winning trade. Most mean-reversion successful strategies have a percent profitability of 40-80% but are profitable due to risk management control.
BE Trades: Number of break-even trades, excluding commission/slippage.
Losing Trades: The total number of losing trades generated by the strategy.
Winning Trades: The total number of winning trades generated by the strategy.
Total Trades: Total number of taken traders visible your charts.
Net Profit: The overall profit or loss (in the selected currency) achieved by the trading strategy in the test period. The value is the sum of all values from the Profit column (on the List of Trades tab), taking into account the sign.
- Monthly: Displays performance data on a month-by-month basis, allowing users to analyze performance trends over each month and year.
- Weekly: Displays performance data on a week-by-week basis, helping users to understand weekly performance variations.
- UI Table: A user-friendly table that allows users to view and save the selected strategy parameters from user inputs. This table enables easy access to key settings and configurations, providing a straightforward solution for saving strategy parameters by simply taking a screenshot with Alt + S or ⌥ + S.
User-input styles and customizations:
Please note that all background colors in the style are disabled by default to enhance visualization.
How to Use This Strategy to Create a Profitable Edge and Systems?
Choose Your Strategy mode:
- Decide whether you are creating an investing strategy or a trading strategy.
Select a Market:
- Choose a one-sided market such as stocks, indices, or cryptocurrencies.
Historical Data:
- Ensure the historical data covers at least 10 years of price action for robust backtesting.
Timeframe Selection:
- Choose the timeframe you are comfortable trading with. It is strongly recommended to use a timeframe above 15 minutes to minimize the impact of commissions/slippage on your profits.
Set Commission and Slippage:
- Properly set the commission and slippage in the strategy properties according to your broker/prop firm specifications.
Parameter Optimization:
- Use trial and error to test different parameters until you find the performance results you are looking for in the summary table or, preferably, through deep backtesting using the strategy tester.
Trade Count:
- Ensure the number of trades is 200 or more; the higher, the better for statistical significance.
Positive Average Trade:
- Make sure the average trade is above zero.
(An important value since it must be large enough to cover the commission and slippage costs of trading the strategy and still bring a profit.)
Performance Metrics:
- Look for a high profit factor, and net profit with minimum drawdown.
- Ideally, aim for a drawdown under 20-30%, depending on your risk tolerance.
Refinement and Optimization:
- Try out different markets and timeframes.
- Continue working on refining your edge using the available filters and components to further optimize your strategy.
What Makes This Strategy Unique?
This strategy combines flexibility, smart risk management, and momentum focus in a way that’s rare and practical:
1. Adapts to Any Market Rhythm
Works on daily, weekly, or intraday charts without code changes.
Uses two entry types: classic breakouts (like trending stocks) or fractal patterns (to avoid false starts).
2. Smarter Stop-Loss System
No rigid rules: Stops adjust based on price structure (e.g., new “higher lows”), not fixed percentages.
Avoids whipsaws: Tightens stops only when the trend strengthens, not in choppy markets.
3. Safe Profit-Boosting Pyramiding
Adds new positions only after prior trades are risk-free (stops moved above breakeven).
Scales up using locked-in profits, not new capital, to grow gains safely.
4. Built-In Momentum Check
Tracks 1/3/6-month price growth to spotlight stocks with strong, lasting momentum.
Terms and Conditions | Disclaimer
Our charting tools are provided for informational and educational purposes only and should not be construed as financial, investment, or trading advice. They are not intended to forecast market movements or offer specific recommendations. Users should understand that past performance does not guarantee future results and should not base financial decisions solely on historical data.
Built-in components, features, and functionalities of our charting tools are the intellectual property of @Fractalyst Unauthorized use, reproduction, or distribution of these proprietary elements is prohibited.
- By continuing to use our charting tools, the user acknowledges and accepts the Terms and Conditions outlined in this legal disclaimer and agrees to respect our intellectual property rights and comply with all applicable laws and regulations.
Ultimate RVOL IndicatorThe Ultimate Multi-Timeframe RVOL Indicator is designed to provide powerful insights into market activity by analyzing relative volume (RVOL) on both the current and higher timeframes. By tracking volume spikes and comparing them to historical averages, this indicator helps traders detect institutional activity, confirm trends, and avoid false breakouts.
Key Features:
• Real-Time RVOL Analysis: Instantly see how today’s volume compares to the average over a customizable period.
• Multi-Timeframe Support: Monitor RVOL on a higher timeframe (e.g., daily or weekly) to detect significant market moves.
• Smart Alerts: Get notified when RVOL crosses a user-defined threshold, indicating potential breakouts or breakdowns.
• Visual Labels and Background Colors: See clear visual markers for high or low RVOL events.
• Trend Confirmation: Use HTF RVOL to validate the strength of moves on smaller timeframes.
⸻
🚀 How to Use:
1. Identify Strong Trends
• When RVOL > Threshold (e.g., 2x) and HTF RVOL is also elevated, institutions are likely participating.
• This confirms the strength of a move and increases confidence in a continuation.
2. Spot False Breakouts
• If RVOL spikes on your chart but HTF RVOL remains low, it may indicate a retail-driven move.
• Be cautious with these trades as they are more prone to failure.
3. Detect Potential Reversals
• When HTF RVOL spikes while intraday RVOL remains low, institutions may be quietly accumulating or distributing.
• Watch for a reversal or a significant move shortly after.
4. Volume Exhaustion
• A rapid RVOL spike followed by a drop in both RVOL and HTF RVOL may signal trend exhaustion.
• Consider locking in profits or tightening stops.
⸻
⚙️ Settings Guide:
• Lookback Period: Adjust how many bars are used for average volume calculation (e.g., 20 for intraday or 50 for swing trading).
• High RVOL Threshold: Set a multiplier to define what is considered a “high” RVOL. Common values range from 1.5x to 3x.
• Higher Timeframe (HTF): Choose a timeframe to track macro-level volume (e.g., Daily for intraday traders or Weekly for swing traders).
• Show Labels and Alerts: Enable to see clear notifications on volume spikes.
⸻
📊 Pro Tips:
• Use RVOL + HTF RVOL with key support and resistance levels for stronger trade setups.
• Combine with indicators like RSI or MACD to confirm momentum.
• Avoid trading on low RVOL days, as moves may lack conviction.
• When RVOL spikes dramatically, monitor price behavior for confirmation before entering a trade.
⸻
This indicator is ideal for day traders, swing traders, and momentum traders looking to leverage volume for smarter entries and exits. Let the Ultimate Multi-Timeframe RVOL Indicator keep you on the right side of market moves. Happy trading! 🚀
Supply & Demand Zones + Order Block (Pro Fusion) SuroLevel up your trading edge with this all-in-one Supply and Demand Zones + Order Block TradingView indicator, built for precision traders who focus on price action and smart money concepts.
🔍 Key Features:
Automatic detection of Supply & Demand Zones based on refined swing highs and lows
Dynamic Order Block recognition with customizable thresholds
Highlights Breakout signals with volume confirmation and trend filters
Built-in EMA 50 trend detection
Take Profit (TP1, TP2, TP3) projection levels
Clean visual labels for Demand, Supply, and OB zones
Uses smart box plotting with long extended zones for better zone visibility
🔥 Ideal for:
Traders who follow Smart Money Concepts (SMC)
Supply & Demand strategy practitioners
Breakout & Retest pattern traders
Scalpers, swing, and intraday traders using Order Flow logic
📈 Works on all markets: Forex, Crypto, Stocks, Indices
📊 Recommended timeframes: M15, H1, H4, Daily
✅ Enhance your trading strategy using this powerful zone-based script — bringing structure, clarity, and automation to your chart.
#SupplyAndDemand #OrderBlock #TradingViewScript #SmartMoney #BreakoutStrategy #TPProjection #ForexIndicator #SMC
Pivot Point Calculator PPC V2 by [KhedrFx]📈 Trade Smarter with the Pivot Point Calculator (PPC) by KhedrFx
Want to spot key price levels and make better trading decisions? The Pivot Point Calculator (PPC) by KhedrFx is your go-to TradingView tool for identifying potential support and resistance zones. Whether you’re a Scalper trader, day trader, swing trader, or long-term investor, this script helps you plan precise entries and exits with confidence.
🔹 How to Use Pivot Points in Trading
📊 Step 1: Identify Key Levels
The PPC automatically plots:
Pivot Point (P): The main level where sentiment shifts between bullish and bearish.
Support Levels (S1, S2, S3): Areas where price may bounce higher.
Resistance Levels (R1, R2, R3): Areas where price may face selling pressure.
These levels act as dynamic price zones, helping you anticipate potential market movements.
🔥 Step 2: Choose Your Trading Strategy
1️⃣ Breakout Trading
Buy when the price breaks above the pivot point (P) with strong momentum.
Sell when the price drops below the pivot point (P) with strong momentum.
Use R1, R2, or R3 as profit targets in an uptrend and S1, S2, or S3 in a downtrend.
2️⃣ Reversal (Bounce) Trading
Buy when the price pulls back to S1, S2, or S3 and shows bullish confirmation (e.g., candlestick patterns like a bullish engulfing or hammer).
Sell when the price rallies to R1, R2, or R3 and shows bearish confirmation (e.g., rejection wicks or a bearish engulfing pattern).
🎯 Step 3: Set Smart Stop-Loss & Take-Profit Levels
Stop-Loss: Place it slightly below support (for buy trades) or above resistance (for sell trades).
Take-Profit: Use the next pivot level as a target.
Extreme Zones: R3 and S3 often signal strong reversals or breakouts—watch them closely!
🚀 How to Get Started
1️⃣ Add the PPC script to your TradingView chart.
2️⃣ Choose a timeframe that fits your strategy (5m, 15m, 30m, 1H, 4H, Daily, or Weekly).
3️⃣ Use the pivot points and support/resistance levels to fine-tune your trade entries, exits, and risk management.
⚠️ Trade Responsibly
This tool helps you analyze the market, but it’s not a guarantee of profits. Always do your own research, manage risk, and trade with caution.
💡 Ready to take your trading to the next level? Try the Pivot Point Calculator (PPC) by KhedrFx and start trading with confidence today! 🚀
RCI NovaRCI Nova - Advanced Trading Indicator 🚀
Description
RCI Nova is an advanced Rank Correlation Index (RCI) indicator designed to provide a clear and visually appealing analysis of overbought and oversold market conditions. With optimized color coding, smart alerts, and smooth transparency effects, RCI Nova allows traders to make fast and confident trading decisions without cluttered visuals.
Key Features & Capabilities
✅ Enhanced Visualization – Modern color scheme inspired by Volume Pulse Pro, ensuring a clean and easy-to-read display.
✅ Dual RCI Analysis – Tracks Short RCI (fast movements) and Middle RCI (medium-term trends) for better market timing.
✅ Custom Overbought & Oversold Zones – Adjustable thresholds (default: ±75) with transparent red (overbought) and cyan (oversold) highlights.
✅ Real-Time Alerts – Get instant notifications when Short or Middle RCI crosses into overbought or oversold territory.
✅ Optimized for Speed – No lag or unnecessary calculations, ensuring smooth performance on any timeframe.
✅ Universal Market Compatibility – Works on Forex, Crypto, Stocks, and Indices.
How It Works
📌 When Short RCI crosses above 75, the market is considered overbought → Potential short setup.
📌 When Short RCI crosses below -75, the market is oversold → Potential long setup.
📌 Middle RCI provides trend confirmation, helping to filter false signals.
🚀 RCI Nova is the next-gen RCI tool for professional traders who want clarity, speed, and efficiency.
🔹 Customize, Trade Smarter, and Stay Ahead of the Market! 🔹
