History Trading SessionsThis indicator helps visually structure the trading day by highlighting custom time zones on the chart.
It is designed for historical analysis, trading discipline, and clear separation between analysis time, active trading, and no-trade periods.
Recommended to use on 4h and below time frames.
Educational
Delta Strength (True TV Delta)Description
Delta Strength measures the intensity of aggressive trading activity using TradingView’s native Volume Delta engine (ta.requestVolumeDelta).
Volume Delta shows which side is aggressive (buyers or sellers).
Delta Strength answers a different question:
How strong is that aggression compared to recent market behavior?
This indicator converts true per-bar volume delta into a relative strength ratio, helping identify institutional participation, initiative moves, absorption, and potential traps at key price locations.
No candle-based approximation is used. The calculation relies on TradingView’s internal bid-ask volume classification from lower timeframes.
How It Is Calculated
• Per-bar delta is derived from the difference between cumulative delta at bar close and bar open
• Absolute delta is averaged over a user-defined lookback period
• Current delta is compared against this average to produce a normalized strength value
This makes the indicator adaptive across instruments, volatility regimes, and sessions.
How to Read Delta Strength
• Values below the lower threshold indicate normal or low-quality activity
• Rising values show increasing professional participation
• Very high values indicate strong imbalance or aggressive initiative orders
• Extreme values without price follow-through often signal absorption or trapping
Delta Strength measures intensity only, not direction.
How to Use (Important)
Always combine Delta Strength with price location and structure.
Best locations include:
• VWAP and VWAP bands
• Previous Day High / Low
• Session highs and lows
• Range boundaries or value edges
Interpretation logic:
• Strong delta with price acceptance supports continuation
• Strong delta with price rejection suggests absorption or exhaustion
What This Indicator Is NOT
• Not a directional signal
• Not a standalone entry tool
• Not a trend indicator
Using Delta Strength without context can lead to false conclusions.
Intended Use
This indicator is designed for:
• Order Flow Analysis
• Market microstructure study
• Institutional activity confirmation
• Advanced discretionary trading workflows
It works best when combined with Volume Delta, VWAP, and structure-based analysis.
Summary
Delta shows who is aggressive.
Delta Strength shows how aggressive they are.
Price reaction shows whether that aggression is accepted or absorbed.
Used together, they provide insight into market intent rather than just price movement.
Liquidity Sell Signal V2 [StrategyLAB_]Liquidity Sell Signal V2
Liquidity Sell Signal V2 is a TradingView indicator designed to help you spot high-probability Sell setups (reversal / pullback entries) using liquidity concepts around Buy-Side Liquidity (BSL) , combined with a bearish confirmation candle pattern.
OANDA:XAUUSD
This script will:
Automatically detect and plot BSL (Swing High) levels based on your selected Swing Strength.
Visually “fade” levels once price has broken above them.
Print a down triangle when a valid Bearish Liquidity Triangle forms at a qualified BSL area.
How it works
1) Identify Buy-Side Liquidity (BSL)
The indicator detects pivot highs using Swing Strength.
Each pivot high is drawn as a horizontal BSL level, keeping up to Max Buy Side Liquidity (BSL) Levels.
2) Bearish confirmation (Liquidity reaction)
A Sell signal triggers only when a bearish candle structure appears, suggesting strong selling pressure and a potential reversal after a liquidity sweep near/above BSL.
3) Noise filter (Avoid “body-cut” levels)
The script checks whether the BSL level has been repeatedly cut through candle bodies in prior bars.
If the level is considered “dirty” based on olderBodyLookback, it is filtered out to reduce false signals.
How to use
Suggested settings
Swing Strength
Lower (5–8): more levels, faster signals, but more noise.
Higher (12–20): fewer levels, cleaner zones, better for swing.
Max BSL Levels: increase if you want to keep more historical liquidity levels.
Filter lookback older bodies: increase to filter more aggressively (fewer signals, cleaner quality).
Entry idea (example)
Wait for a Sell triangle to appear (signal prints on candle close).
Prefer signals that align with:
a major swing high / key resistance,
clear rejection (wick / bearish reaction),
confluence with HTF supply, trendline, session, etc.
SL/TP idea (example)
SL: above the most recent swing high / above the BSL zone with a safety buffer.
TP: toward imbalance fill, previous lows (SSL), or a fixed RR such as 1:2 / 1:3.
Important notes
This is a probability tool, not a guaranteed signal.
Best results come from combining with market structure (BOS/CHOCH), supply/demand, HTF levels, and session context.
The script uses barstate.isconfirmed, so signals appear only after the candle closes (non-repainting signals).
OANDA:EURUSD
Jim Kombein PhD Mode mHFT Structure Invite OnlyThis is an original, invite-only market micro-structure and state visualization script
developed for private research and educational purposes.
The script is designed to help experienced users observe short-term price structure,
volatility-adjusted turning behavior, and local market state transitions on ETH-based charts.
It does not replicate or repackage any built-in TradingView indicators and is based on
proprietary logic developed independently.
Due to its experimental and research-oriented nature, access to this script is intentionally
restricted to a limited group of invited users only, in order to prevent misuse or
misinterpretation.
This script does not provide financial advice, automated trading, trade execution,
or guaranteed performance. All visual outputs are provided for informational and
educational reference purposes only. Final trading decisions remain entirely the
responsibility of the user.
SPX Volatility EngineWhy This Framework Exists
Intraday markets generate an abundance of information, but not clarity.
Volatility, structure, momentum, and internal conditions often provide conflicting signals in real time, leaving traders uncertain not about what they see, but about what matters now.
Most tools excel at measuring individual aspects of the market. Very few help resolve which information should be prioritized, suppressed, or deferred when conditions are misaligned.
The SVE Volatility Engine was built to address this specific problem:
to provide structured, real-time decision context so traders can understand when the market environment supports participation and when restraint is warranted.
________________________________________
How the SVE Volatility Engine Works (Conceptual)
SVE is a decision-support framework, not a signal generator.
Rather than presenting independent indicators side-by-side, the framework evaluates volatility state, structure, and directional behavior through a contextual hierarchy, emphasizing alignment over activity. Its purpose is to resolve ambiguity created when these dimensions disagree.
At a conceptual level, the framework:
• Interprets volatility regime and compression state to frame market pacing
• Evaluates directional behavior within structural context, not in isolation
• Classifies conditions based on environmental alignment, not indicator triggers
• Suppresses low-quality participation when contextual conflicts exist
The value of the framework lies in how market information is framed and filtered, not in any single calculation. This integration logic is the reason the script is maintained as closed source.
SVE does not attempt to predict outcomes.
It clarifies what type of market is currently present, allowing traders to adapt expectations and behavior accordingly.
________________________________________
What Appears on the Chart
When applied, the SVE Volatility Engine presents a unified on-chart framework that includes:
• A Heads-Up Display (HUD) summarizing directional bias, volatility environment, and contextual classification
• Contextual CALL / PUT markers that are classified, not blindly generated
• Structural reference zones used to frame directional interaction
• Real-time regime and alignment cues designed to support disciplined interpretation
A public companion indicator, SVE Compression Mirror (Companion), is available to display the same compression state and histogram context referenced by this framework in a dedicated lower pane.
Together, these elements provide clarity without clutter, emphasizing decision context rather than frequency.
________________________________________
Intended Use
The SVE Volatility Engine is designed for:
• Intraday traders who value context before conviction
• Discretionary traders seeking a rules-based framework to support judgment
• Professionals and advanced retail traders who prioritize clarity over signal volume
The framework is intended to support interpretation and decision discipline.
It does not provide trade entries, targets, or investment advice.
________________________________________
Access
This script is available by Invite-Only.
________________________________________
Disclaimer
This indicator is provided for informational and analytical purposes only and does not constitute investment advice.
Implicit Dolar MEPWhich stock or CEDEAR offers the best implied MEP dollar rate?
This indicator displays labels positioned at the level of the implied MEP dollar rate for the 10 equity instruments (stocks, CEDEARs and ETFs) with the highest trading volume in MEP dollars over the last month on the BYMA market.
The implied rate for each asset is calculated as the ratio between its price in ARS and its price in MEP dollars, for example:
GGAL / GGALD.
As a reference (benchmark), a white line is plotted representing the implied MEP dollar rate of the AL30 bond, calculated as AL30 / AL30D, which is the most liquid government bond in the BYMA market.
Settings
• The user may enter the ticker of any bi-currency instrument (fixed income or equity) to add its label to the chart.
Key information
An information box highlights:
• The asset with the most expensive implied dollar (Best SELL).
• The asset with the cheapest implied dollar (Best BUY).
Not an investment recommendation.
This information is provided for informational purposes only and does not constitute an offer, solicitation, or investment advice. Investment decisions are the sole responsibility of the investor.
Goldbach Continuum | PO3 Market FrameworkGoldbach Continuum is an indicator recreation and reinterpretation based on the original Goldbach Trifecta methodology and teachings developed by Hopiplaka.
The indicator applies Power of Three (PO3) dealing ranges to visualize institutional price cycles using Goldbach-based mathematical levels. Price is organized into Liquidity, Flow, and Rebalance layers, highlighting where liquidity is engineered, directional bias is established, and price temporarily pauses or redistributes risk.
This implementation was built to preserve the core structural logic of the original model while presenting it in a clear, modular, and execution-focused format. Each layer can be displayed independently, and an optional mini-map provides higher-timeframe context for multi-timeframe analysis.
This project is created with respect to the original framework and is intended as an educational and analytical recreation, not a replacement for the official Goldbach Trifecta indicator.
Credits & Acknowledgments
Original methodology and teachings: Hopiplaka
Framework & code implementation: Noctis
Official reference: hopiplaka.gumroad.com
Goldbach TrifectaGoldbach Trifecta applies Power of Three (PO3) dealing ranges to map institutional price cycles using mathematically derived Goldbach-based levels.
Price is structured into three purpose-driven layers — Liquidity, Flow, and Rebalance — helping traders visualize where liquidity is engineered, bias is defined, and price pauses or redistributes risk with precision. Each layer can be displayed independently, and an optional mini-map provides higher-timeframe structural context at a glance.
This model builds on the foundational teachings of Hopiplaka, whose original Goldbach framework revolutionized how traders interpret engineered price cycles — thank you for the core insights and methodology. The underlying code structure and implementation were developed by Noctis, bringing this advanced framework to life in an easy-to-use indicator.
Credits: Hopiplaka (original founder & methodology), Noctis (framework development)
Reference: hopiplaka.gumroad.com
TASC 2026.01 The Reversion Index█ OVERVIEW
This script implements the Reversion Index as presented by John F. Ehlers in the January 2026 edition of the TASC Traders' Tips , "Identifying Peaks And Valleys In Ranging Markets”. This indicator was created to provide timely buy and sell signals for mean reversion strategies.
█ CONCEPTS
Ehlers came up with the idea for the Reversion Index following the development of the "Continuation Index" (featured in the September 2025 edition). While the Continuation Index provides indications for trend onset, continuation, and exhaustion; the Reversion Index serves as its counterpart for mean-reversion trading.
The raw Reversion Index value is calculated as the net change in price normalized to the sum of the absolute value of change in price over the same period; for clarity, it is then smoothed using Ehlers' SuperSmoother.
The Smooth Reversion Index value is led by a "Trigger" line, which is created by smoothing the raw data to half the smoothing period of the smoothed index.
Note: Ehlers suggests the smoothing lengths be left at 8 and 4 (Reversion Index & Trigger). For this reason these lengths are hard-coded in the script but can be easily modified in the code.
█ USAGE
In order to identify peaks and valleys effectively, the "Length" should ideally be set to half of that of the expected cycle of the data. If the expected cycle of your trading data is 20 bars, a 10 bar length should be set.
Note: The Reversion Index is intended to identify peaks and valleys within a cycle, not over a large sample period. Ehlers suggests that this would create an estimation of trend, which is not the goal here.
Once the length is set, peaks and valleys are interpreted as the cross of the "Trigger" and "Smooth" lines.
ICT MTF FVG BPR Toolkit [D4A}The ICT MTF FVG BPR Toolkit encompasses the following 5 components:
- Fair Value Gaps - current timeframe
- Fair Value Gaps - higher timeframe
- BPR - Balanced Price Range
- Long Wicks - which are considered to be gaps by ICT
- Immediate Rebalance - it leaves no gaps, but is as important in assessing current workflow
This is advanced Fair Value Gaps script that uses trading methodology taught by ICT trader. To use it effectively it requires at least some basic knowledge of Smart Money Concepts (SMC) as outlined in ICT's lectures found on YT. I may publish another SMC related scripts in future if this kind of tool is useful to anybody.
The idea behind this work, is to have all the necessary tools related to Fair Value Gaps in one script that is easy to use (requires SMC knowledge), fully customizable and will keep the chart as clutter free as possible. Since, I could not find a ready-made script which would tick all my requirements, I created this new script, partially by borrowing some ideas and code from existing open source projects that I liked. Rather than re-inventing the wheel, I focused on adopting and improving existing solutions and have them work together in one tool that could present the information accurately and in a polished way, where the trader can customize almost everything. Full credit goes to other coders, who tackled this subject before me, but particularly to:
QuantVue
LuxAlgo
pmk07
The script have these unique features:
- Can present FVGs from up to 3 different timeframes at any given interval
- The amount and interval of higher timeframe FVGs is fully customizable
- FVGs can be displayed based on size
- Volume Imbalance can be included as part of FVG (as recommended by ICT)
- Higher timeframe FVGs can have quadrants displayed along with C.E. (based on ATR filter)
- Both current and higher timeframe FVGs can be displayed in different ways depending on price interactions
- BPR which works on current timeframe only
- Long Wick detection logic has been slightly changed from the original LuxAlgo code
- Immediate Rebalance code has been simplified and re-focused on clarity
-----------------
Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
SMC Academy [PhenLabs]📊 SMC Academy
Version: PineScript™ v6
📌 Description
The SMC Academy indicator is a comprehensive educational tool designed to demystify Smart Money Concepts (SMC) for traders of all levels. Unlike standard indicators that simply print signals, this script uses a “Learning Phase” system that allows users to toggle between individual concepts—such as Market Structure, Liquidity, Imbalances, and Order Blocks—or view them all simultaneously. It lets you focus on one piece of the puzzle at a time.
🚀 Points of Innovation
Progressive Learning Modes: Toggle between 5 distinct phases to master concepts individually before using the Full Strategy Mode.
Educational Tooltips: Hover over labels to read detailed explanations of why a BOS, MSS, or Liquidity zone was identified.
Smart Filtering: Uses ATR and Volume integration to filter out low-quality Fair Value Gaps and weak Order Blocks.
HTF Dashboard: A built-in panel analyzes Higher Timeframe (4H) data to ensure you are trading in alignment with the broader trend.
🔧 Core Components
Market Structure Engine: Automatically detects Swing Highs and Lows to map out market direction using configurable swing lengths.
Liquidity Manager: Identifies unmitigated swing points that serve as Buy-Side (BSL) and Sell-Side (SSL) liquidity magnets.
Imbalance Detector: Highlights Fair Value Gaps (FVG) where price inefficiencies exist, using ATR thresholds to ignore noise.
Order Block Identifier: Locates the specific candles responsible for structure breaks, validated by volume analysis.
🔥 Key Features
Break of Structure (BOS): Automatically marks trend continuation signals with solid lines and color-coded labels.
Market Structure Shift (MSS): Identifies potential trend reversals when significant swing points are breached.
Dashboard Context: Displays the current trend direction and the 4H context directly on your chart.
Custom Alerts: Built-in alert conditions for structure breaks and new Order Blocks allow for automated tracking.
🎨 Visualization
Structure Lines: Solid lines indicate confirmed breaks (Green for Bullish, Red for Bearish).
Liquidity Zones: Dotted lines extending rightward indicate resting liquidity levels that price may target.
FVG Boxes: Shaded boxes highlight imbalance zones, automatically extending for a user-defined number of bars.
Dashboard: A clean, non-intrusive table in the top-right corner displays trend status and active mode.
📖 Usage Guidelines
Setting Categories
Learning Mode: Select from ‘1. Market Structure’ through ‘5. Full Strategy Mode’ to filter what appears on the chart.
Swing Detection Length: Default (5). Determines the sensitivity of the swing high/low detection.
Structure Break Type: Options (Close/Wick). Choose whether a candle close or just a wick is required to confirm a break.
Min FVG Size: Default (0.5 ATR). Filters out gaps smaller than this multiplier to reduce noise.
Filter Weak OBs by Volume: Default (True). Only highlights Order Blocks where volume exceeds the 20-period average.
✅ Best Use Cases
Educational Study: Isolate “Phase 1: Market Structure” to practice identifying trend changes without distraction.
Trend Following: Use “Phase 3: Imbalances” to find entry points within an established trend.
Reversal Trading: Combine “Phase 2: Liquidity” and “Phase 4: Order Blocks” to catch reversals at key levels.
⚠️ Limitations
Subjectivity: Market structure can be interpreted differently depending on the swing length settings used.
Ranging Markets: Like all trend-following concepts, false BOS/MSS signals may generate during choppy, sideways price action.
Repainting: While the signals are non-repainting once confirmed, the live candle may flash a signal before the close if “Close” mode is selected.
💡 What Makes This Unique
Interactive Learning: The inclusion of tooltip explanations transforms this from a simple tool into an active mentor.
Phase-Based Workflow: The ability to strip the chart back to basics at the click of a button is unique to the PhenLabs ecosystem.
🔬 How It Works
Swing Analysis: The script calculates pivot highs and lows based on your length input to define the structural landscape.
Break Validation: It checks if price crosses these pivot points to trigger BOS (Continuation) or MSS (Reversal) logic.
Volume Confirmation: For Order Blocks, it looks back inside the swing leg to find the specific candle responsible for the move, verifying it has significant volume.
💡 Note:
For the best experience, start in Phase 1 to calibrate your Swing Detection Length to the specific volatility of the asset you are trading before enabling Full Strategy Mode.
RS High Beta Exposure | QuantLapseRS High Beta Exposure | QuantLapse
Conceptual Foundation and Innovation
The RS High Beta Exposure indicator from QuantLapse is a comprehensive multi-asset allocation and momentum-ranking system that integrates beta and trend analysis, pairwise relative strength comparison, and volatility-adjusted filtering.
Its objective is to identify dominant crypto assets while dynamically reallocating High Beta exposure based on a calculated relative strength. The objective is to integrate trend analysis along with volatility filtering to these pairs to determine its relative strength.
At its core, RS High Beta Exposure indicator measures the systematic (β) performance of each asset relative to other assets provided combining these measures with inter-asset ratio trends to determine which assets exhibit superior strength and momentum relative to the other assets.
This integration of relative strength comparison, and trend and filtering analysis represents a quantitative evolution of traditional relative strength analysis, designed for adaptive asset rotation across major cryptocurrencies.
Technical Composition and Calculation
The indicator is structured around three major analytical layers:
1. Beta and Alpha Analysis
-Each asset’s return is decomposed into systematic components relative to the other assets by using a trend based, volatility filtering model.
-Assets with the highest point on a relative strength basis above the median are considered outperformers and eligible for allocation.
2. Pairwise Ratio Momentum
-Every asset is compared against all others through a ratio-trend, where momentum based trend scores quantify the directional momentum between each pair.
-In addition, we filter any false signals with volatility adjusted trends in which ensure high quality signals.
3. High Confidence Ranking
-Using the Pairwise Momentum signals, the RS High Beta Exposure scores them. If the asset comparison is given a signal, the RS High Beta Exposure scores points for each asset.
-If the total points of an asset is 5, its given the rank the dominant asset and is most likely to outperform.
By combining these layers, RS High Beta Exposure determines not only which assets is the strongest but also which assets to be invested.
User Inputs and Feature Adaptability
The indicator includes set of customizable parameters to support portfolio and risk management preferences:
Start Date Filter – Defines the beginning of live strategy evaluation.
Display Options – Able to change the location of the RS Table, Background and equity color.
Asset Selection – Modify or replace up to six crypto assets in the ranking matrix
asset1 = input.symbol("CRYPTO:XRPUSD", title ="Asset 1")
asset2 = input.symbol("CRYPTO:BNBUSD", title ="Asset 2")
asset3 = input.symbol("CRYPTO:ADAUSD", title ="Asset 3")
asset4 = input.symbol("CRYPTO:DOGEUSD", title ="Asset 4")
asset5 = input.symbol("CRYPTO:XLMUSD", title ="Asset 5")
asset6 = input.symbol("CRYPTO:LINKUSD", title ="Asset 6")
Each module operates cohesively to maintain analytical transparency while allowing user-level control over system sensitivity and behavior.
Real World, Practical Applications
The RS High Beta Exposure indicator is designed for systematic traders and quantitative portfolio managers who seek a disciplined framework for dynamic crypto asset rotation.
Key applications include:
High-Beta Asset Identification: Systematically identify crypto assets exhibiting relative dominance and stronger momentum characteristics versus peers within the comparison set.
Rule-Based Portfolio Rotation: Reallocate exposure toward leading assets using objective pairwise signals, reducing emotional decision-making and FOMO-driven trades.
Trend-Aligned Risk Participation: Employ the pairwise relative strength model to maintain exposure only during favorable momentum conditions, helping avoid prolonged participation in weak or deteriorating trends.
By combining relative strength comparisons with trend-aware filtering, this framework bridges quantitative finance and market regime analysis, providing a structured, data-driven approach to crypto asset allocation.
Advantages and Strategic Value
RS High Beta Exposure goes beyond conventional relative strength tools by integrating multi-asset comparison, ratio-based dominance scoring, and volatility-aware regime filtering into a single coherent framework.
By employing a three-layer confluence model — combining trend integrity, relative performance attribution, and volatility-state confirmation — the system improves the reliability of rotation and trend-following decisions.
The model is particularly valuable for traders seeking to:
Mitigate drawdowns while participating in higher-beta assets through regime-aware exposure control.
Identify persistent outperformers early in emerging market trends.
Maintain capital exposure only when statistical and momentum conditions signal elevated confidence.
The inclusion of visual allocation tables and a dynamic alert system makes RS High Beta Exposure both transparent and actionable, supporting discretionary analysis as well as systematic or automated trading workflows.
Alerts and Visualization
The script delivers clear, intuitive visual cues and alert-based feedback to support real-time decision-making:
Color-coded background states visually indicate the current allocation regime.
Allocation labels and summary tables display the dominant asset and its relative strength in real time.
An integrated alert system automatically notifies users whenever allocation states change (e.g., “100% XRP” or “100% CASH”).
Together, these visualization and alert features make RS High Beta Exposure both analytically rigorous and easy to interpret, even in fast-moving live market conditions.
Summary and Usage Tips
RS High Beta Exposure is an advanced interpretation of relative strength analysis, blending pairwise momentum comparisons, multi-asset dominance scoring, and adaptive volatility filters into a disciplined framework for crypto asset rotation.
By combining cross-asset selection with systematic allocation logic, the indicator helps traders determine when to be exposed, which asset demonstrates leadership, and when to step aside during unfavorable conditions. The model is best applied on the 1D timeframe, where its structure is optimized for identifying sustained leadership rather than short-term price noise. For broader context and confirmation, it can be used alongside other QuantLapse systematic models at the portfolio level.
Note: Past performance does not guarantee future results. This indicator is intended for research and educational use within TradingView.
Bullish Breakout Finder by St0icTraderThis breakout finder is for PSEI. Buy on breakout candle close with stop loss of 5%.
Colored HMA + Color SARThis is a simple yet effective chart setup that I really like and trade with. I use the Heiken Ashi candlesticks so with this I get three conformations in one. If you like it great. I am not a coder but I do know what works for my brain and thought I would share this, thanks to Chat GBT.
I use it for entry most of the time on the 5 minute chart New York open. I also like the Orb break and retest by Quant Crawler as my second indicator.
Custom ORBIT GSK-VIZAG-AP-INDIA🚀 Custom ORBIT — Opening Range Breakout & Reversal Indicator
This indicator automatically calculates and plots the Opening Range (OR) high and low levels for a user-defined session and duration. It is designed to assist intraday traders by providing immediate visual signals for both price breakouts and subsequent reversals from these key levels.
The indicator is particularly suitable for markets with defined trading hours, such as the Indian indices (Nifty, Bank Nifty), given its default time settings are based on GMT+5:30.
⚙️ How It Works (Indicator Logic)
The indicator operates based on three main logical components: time definition, level calculation, and signal generation.
1. Time Session and Range Definition: All time calculations are based on GMT+5:30 (Indian Standard Time/IST). The script defines a specific trading session from a customizable start time (default 9:15 AM) to a session end time (default 3:30 PM). The Opening Range (OR) is established during the initial duration, which is set by the rangeMinutes input (default 15 minutes, meaning the OR is calculated from 9:15 AM to 9:30 AM).
2. Level Calculation and Plotting: During the initial range duration, the script captures the absolute highest price (OR High) and the absolute lowest price (OR Low). Once this period ends, two horizontal lines—a green line for the OR High and a red line for the OR Low—are drawn and automatically extended across the chart for the remainder of the active trading session. The visual style of these lines can be customized to Dotted, Dashed, or Solid.
3. Breakout and Reversal Logic: The indicator actively tracks the market's state relative to the OR levels to generate four distinct signals:
Break Up: A signal is generated when the closing price crosses over the OR High, indicating potential upward momentum.
Break Down: A signal is generated when the closing price crosses under the OR Low, indicating potential downward momentum.
Reversal Down: This yellow signal occurs only after a price has already broken above the OR High (Break Up state), and then the price moves back into the range (closing below the ORH), suggesting a failed breakout.
Reversal Up: This yellow signal occurs only after a price has already broken below the OR Low (Break Down state), and then the price moves back into the range (closing above the ORL), suggesting a failed breakdown.
💡 Suggested Use Cases
The signals generated by this indicator can be used in two primary ways:
Breakout Trading: A trader may enter a long position on a "Break Up" signal or a short position on a "Break Down" signal. A common risk management practice is to use the opposite OR level (ORL for long trades, ORH for short trades) as a stop-loss reference.
Faded Breakout / Reversal Trading: Look for the yellow "Reversal Up" or "Reversal Down" signals. These signals indicate a rejection of the OR level, and a trader may take a counter-trend position with the expectation that the price will return to the consolidation range or move toward the opposite OR level.
⚠️ Educational Disclaimer
This indicator is for educational and illustrative purposes only. It provides technical signals based on mathematical calculation of price action and should not be construed as financial advice, trading advice, or a solicitation to buy or sell any financial instrument. Trading carries a high level of risk, and you may lose more than your initial deposit. Past performance is not indicative of future results. Always consult with a qualified financial professional before making any investment decisions.
SIDD EMA RSI Supertrend Signal Table🔥 SIDD EMA RSI SuperTrend Multi-Timeframe Signal Table
**SIDD EMA RSI SuperTrend Signal Table** is a **clean, powerful multi-timeframe trend confirmation dashboard** designed for traders who want **clarity, confluence, and speed** — all in one glance.
This indicator **does NOT repaint** and uses **industry-standard trend logic** combining **EMA structure, RSI momentum, and SuperTrend direction** across **6 different timeframes**.
---
## 🧠 Core Logic Behind the Indicator
This script works on **three independent trend engines**, displayed together in a compact table:
### ✅ 1️⃣ EMA Trend (Structure Based)
* Uses **EMA 50 vs EMA 200**
* **Bullish** → EMA 50 above EMA 200
* **Bearish** → EMA 50 below EMA 200
* Captures **primary market structure**
### ✅ 2️⃣ RSI Trend (Momentum Based)
* RSI Length: **14**
* **Bullish** → RSI > **55**
* **Bearish** → RSI ≤ **55**
* Helps confirm **trend strength & momentum**
### ✅ 3️⃣ SuperTrend (Price Action Based)
* ATR Length: **10**
* Factor: **3.0**
* Clearly defines **trend direction & trailing bias**
* Excellent for **entry & exit alignment**
---
## ⏱️ Multi-Timeframe Coverage
The table analyzes trends across **6 configurable timeframes**:
* Intraday → **5m, 15m, 1H**
* Swing → **4H, Daily**
* Positional → **Weekly**
Each timeframe shows:
* 📈 EMA Trend
* 📊 RSI Trend
* 🔁 SuperTrend Direction
Color-coded for instant readability:
* 🟢 Bullish
* 🔴 Bearish
* ⚪ Neutral
---
## 🎯 How to Use This Indicator
✔ **Trend Trading**
Trade only when **EMA + RSI + SuperTrend align** across higher & lower timeframes.
✔ **Intraday Confirmation**
Use higher TF (1H / 4H) bias and take entries on lower TF.
✔ **Avoid Chop & False Signals**
If signals are mixed → market is likely **sideways or risky**.
✔ **Swing & Positional Trades**
Daily + Weekly alignment gives **high-probability setups**.
---
## ⚙️ Customization Options
* Adjustable **timeframes**
* Table **position** (Top/Bottom – Left/Right)
* Table **size** (Extra Small / Small / Normal)
* Custom **colors, borders & text**
* Optimized for **minimal chart clutter**
---
## ⚠️ Disclaimer
This indicator is a **trend confirmation & decision-support tool**.
Always combine with **price action, support/resistance, and proper risk management**.
Futures Risk-Based Position CalculatorFutures Risk‑Based Position Calculator — Description
This TradingView indicator automatically calculates and displays Entry, Stop Loss (SL), and Take Profit (TP) levels for futures trades based on a fixed dollar‑risk amount.
What it does
Uses your account balance, dollar risk, number of contracts, point value, and tick size to compute how far the stop should be from the entry.
Determines the take‑profit level using a chosen risk‑to‑reward ratio.
Draws three lines on the chart:
Entry line
Stop loss line
Take profit line
Places labels next to the SL and TP lines showing prices and point distances.
Key features
Supports long or short calculation mode.
Configurable line styling:
Width, style (solid/dashed/dotted), color, opacity.
Separate styling for entry, SL, and TP.
Configurable label behavior:
Optional background.
Text color choices.
Adjustable vertical offset to avoid overlapping the lines.
Lines extend left/right by user‑defined bar amounts.
Values are always rounded to the market's tick size.
How levels are calculated
Entry = current close rounded to tick size.
Stop distance (points) = dollarRisk / (contracts × pointValue).
SL = entry − distance (long) or entry + distance (short).
TP = entry + distance × RR (long) or entry − distance × RR (short).
Visual behavior
Lines and labels update only on the last bar to avoid clutter.
Labels show:
SL: price, point distance, and contract count.
TP: price and point distance.
Risk & Order Size Calculatorhello,
this will calculate the risk and you may change the script as per your risk appetite, my advise do not risk more than 2% of your capital.
Thank you
Task 9 , Alka Swing DetectionFirst swing detection code First swing detection code, inspired by Alka, Trading view is asking me to write more description First swing detection code, inspired by Alka, Trading view is asking me to write more description First swing detection code, inspired by Alka, Trading view
ETIQUETAS 5M.This is the best way to determinate interval from five minutes to 1 minute in that time range of 9:25 am to 4:15 pm. you can know how to enter or exit trading action.
NY LONDON LUNCH AUTO**NY London Lunch Auto** is a precision session-anchor indicator designed for traders who focus on institutional timing and liquidity behavior.
This script automatically marks the **high and low of three key 15-minute New York session candles**:
• **3:00 AM NY** — London session expansion
• **8:00 AM NY** — New York open / kill zone
• **2:00 PM NY** — NY lunch / power hour transition
Each time one of these candles prints on the **15-minute chart**, the script captures its exact high and low and extends them forward as horizontal levels.
The levels remain **locked and unchanged** until the next key session candle appears, ensuring clean, non-repainting reference zones.
### Key Features
• Works **exclusively on the 15-minute timeframe**
• Automatically updates at **3AM, 8AM, and 2PM NY time**
• Levels stay fixed — no drifting or recalculation
• Clean, minimal design with customizable colors
• Ideal for liquidity sweeps, displacement, and ICT-style execution models
This indicator is built for traders who want **clarity, patience, and structure**, not clutter. It pairs seamlessly with liquidity sweep, displacement, and fair value gap strategies.






















