Key Levels - Prop Trader JourneyKey Levels – Prop Trader Journey (Intraday Levels + Clean Right-Side Layout)
This indicator plots session-based reference levels commonly used for intraday futures/stocks, with a focus on clean chart layout and label collision handling.
What it plots (toggle each on/off)
Today’s RTH High/Low (TDH/TDL)
Opening Range High/Low (ORH/ORL) based on the first N minutes after RTH open
Pre-Market High/Low (PMH/PML) based on the premarket session window
First Hour High/Low (1HH/1HL) based on the first N minutes after RTH open
Yesterday’s RTH High/Low (YDH/YDL) captured at the next RTH open
RTH Open price
RTH Average line (AVG) using a selectable source (HL2 / HLC3 / OHLC4 / HLCC4)
This Week / Last Week levels (O/H/L/C + Avg) from the weekly timeframe
Optional Session Open level at a configurable time (default 18:00 NY)
2 Custom price levels (optional extend-left)
How levels are calculated (high level)
The script detects whether the current bar is inside RTH / Pre-Market / Opening Range / First Hour using your chosen time zone and session templates.
High/Low levels update in real time while inside each session window. Premarket levels are cached so they remain visible after premarket ends.
Weekly levels are pulled from the weekly timeframe to provide higher-timeframe context.
Display modes
Compact mode: levels are drawn in a compact “right-side” layout using a configurable right offset and line length.
Pivot mode: levels originate from the bar where the level was established/updated and extend toward the right.
Label collision handling (the “unique” part)
When multiple levels are close together, labels can overlap. This script supports:
Merge: combine nearby levels into one label within a tick threshold
Stack: show separate labels stacked vertically
Merge + Stack (4+): merge normally, but stack when there are many levels
This helps visualize confluence/stacked zones without clutter.
Customization
Every level has its own color / line style / width controls. Labels have adjustable text/bg/size, and custom levels can extend left by a user-defined number of bars.
How to use with you trade
Use these levels as reaction areas (support/resistance, rejection, breakout/retest). When labels “stack” or multiple names appear merged at similar prices, that signals confluence—often a more important zone than a single level.
Indicators and strategies
RSL Buy Signal Alert the relative Strength Index from Levy is checked. If it is above a dynamic value, an alert is triggered
ChunkbrAI-NN INDIChunkbrAI-NN INDI: The Neural Network Odyssey
A Native Pine Script Neural Network Research Engine
Welcome to ChunkbrAI-NN 5.3. This is not a standard technical indicator; it is a proof-of-concept Artificial Intelligence engine built entirely from scratch within Pine Script.
Neural Networks typically require iterating over massive datasets, a task that usually times out on TradingView. ChunkbrAI solves this by introducing a novel "Chunking Architecture"—a system that breaks history into digestible learning blocks and trains a Multilayer Perceptron (MLP) using a "Chunking" approach.
It features a living ecosystem where neurons have "genes," grow mature, and adapt to market regimes using a highly sophisticated Context-Aware normalization engine.
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The Core Concept: "The Time Wheel"
To bypass Pine Script's execution limits, this script does not train linearly from the beginning of time. Instead, it operates like a spinning wheel of experience.
* The Chunk System: On every bar update, the engine reaches back into history (up to 5000 bars) and grabs random or sequential "Chunks" of data. It treats these chunks as isolated training samples.
* Experience Replay: By constantly revisiting past market scenarios (Chunks), the network slowly converges its weights, learning to recognize patterns across different eras of price action.
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Architecture & Modules
A. The Neural Core (MLP)
At the heart is a raw neural network built with arrays:
* Topology: A dense network with a customizable Hidden Layer (Default: 60 Neurons).
* Timewarp (Stride): When enabled, the network uses "dilated" inputs (skipping bars, e.g., 1, 3, 5...). This increases the network's Field of View without increasing computational load.
* Forecasting: The network outputs a standardized prediction which is then de-normalized to project the future price path on your chart.
B. The Context System (The "Eyes")
Raw prices confuse neural networks. A $1000 move in Bitcoin is massive in 2016 but noise in 2024. ChunkbrAI uses a relativistic Context System:
* Regime Detection: It uses a Zero-Lag Moving Average (ZLMA) and Non-Linear Regression to measure the current market "Vibe" (Volatility & Trend).
* Dynamic Normalization: The inputs are scaled based on this context. If the market is volatile, the data is compressed; if calm, it is expanded. This ensures the brain receives consistent signal patterns regardless of the absolute price.
C. The Gene System (Neuro-Plasticity)
This is the experimental "biology" layer. Neurons are not just static math; they have life cycles.
* Maturity: Neurons start "Young" (highly plastic, high mutation rate). As they successfully reduce error, they become "Wise" (stable, low mutation).
* Mutation: If a "Wise" neuron begins failing (high error), it is demoted and forced to mutate. This allows the brain to "forget" obsolete behaviors and adapt to new market paradigms automatically.
* Profiles: You can initialize the brain with different personalities (e.g., Dreamer, Young Chaos, Zen Monk).
D. The Brain Scheduler (Adaptive Learning)
A static Learning Rate (LR) is inefficient. The Brain Scheduler acts as the heartbeat:
* Panic vs. Flow: It monitors the derivative of the error. If the error spikes (Panic), the Scheduler slows down learning to prevent the model from exploding. If the error smooths out (Flow), it accelerates learning (Infinite LR Mode).
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Forecasting Modes
The script provides two distinct ways to visualize the future:
1. Direct Projection (Green Line):
The network takes the current window of price action and predicts the immediate next step. If Timewarp is active, it interpolates the result to draw a smooth curve.
2. Autoregression (Cyan Line):
Available in "Auto" mode. The network feeds its *own* predictions back into itself as inputs to generate multi-step forecasts.
* Wave Segmentation: The script intelligently guesses the current market cycle length and attempts to project that specific duration forward.
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Operation Manual
The script has two distinct training loops: first, when you add it to a chart, Pine runs through the available historical bars once, and this initial history pass is the main training phase where the network iterates chunk-by-chunk using your configured chunk count/iterations (e.g., if chunk count is 3, it performs 3 chunk updates per step), but pushing chunk count, iterations, or model sizing too high can hit Pine’s execution limits; after that, once real-time candles start printing, the script can either keep training (weights continue updating) or freeze the weights and run inference only, producing predictions from the learned parameters, and if live training is enabled it can also simulate “bars-back” style training during live mode by iterating across prior bars as if doing another history pass—which again can run into limits if chunks/iterations/sizing are too heavy—so when changing parameters to evaluate behavior you change them carefully and individually, because multiple simultaneous increases make it hard to attribute effects and can more easily trigger those execution constraints.
Weight Persistence (Save/Load):
Pine Script can’t write files or persist weights directly, so ChunkbrAI uses a library-based workaround that’s honestly tricky and kind of a pain: you enable the weight-export alerts so the script emits the weights (W1/W2/biases etc.) as text, and those payloads are chunked as well; then, outside TradingView, I use a separate Python script to parse the alert emails, reconstruct and format the chunked weights properly, and generate the corresponding library code files; after that, the libraries have to be published/updated, and only then can the main script “restore” by reading the published lib constants on chart load, effectively starting with the pre-trained weights instead of relying purely on the fresh history-run training pass. I don’t recommend this process unless you really have to—it’s fragile and high-effort—but until TradingView implements some simple built-in data storage for scripts, it’s basically the only practical way to save and reload your models.
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Limitations & Notes
* Calculation Limits: This script pushes Pine Script to its absolute edge. If you increase Chunk Size or Hidden Size too much, you WILL hit execution limits. Use the defaults as a baseline.
* Non-Deterministic: Because the "Wheel" picks random chunks for training, two instances of this script might evolve slightly different brains unless you use the Restore Weights feature.
* Experimental: This is a research tool designed to explore Neural Networks and Genetic Algorithms on the chart. Treat it as an educational engine, not financial advice.
Credits: Concept and Engineering by funkybrown.
ATR Deviation Sigmoid Oscillator# ATR Sigmoid Volatility Regime Oscillator
## What This Indicator Does
The **ATR Sigmoid Volatility Regime Oscillator** is a volatility-regime detection tool designed to answer a single, critical question:
> *Is the market currently in a low-volatility or high-volatility regime—relative to its own recent behavior?*
Instead of using raw volatility values, this indicator **contextualizes volatility** by comparing the current ATR (Average True Range) to its own historical baseline and then mapping that deviation into a bounded, interpretable scale.
---
## How It Works (Conceptual)
1. **ATR Calculation**
The indicator starts with the standard ATR, which measures market volatility without direction.
2. **Baseline via EMA**
An EMA of ATR is used as a dynamic volatility baseline. This adapts to changing market conditions instead of relying on static thresholds.
3. **Relative Deviation**
The difference between ATR and its EMA represents how "unusual" current volatility is relative to its recent history.
4. **Normalization**
This deviation is normalized using ATR’s own dispersion, ensuring comparability across assets and timeframes.
5. **Sigmoid Transformation (0–100)**
A sigmoid function maps the normalized value into a **bounded 0–100 oscillator**, producing:
* Stability at extremes
* Smooth regime transitions
* No unbounded spikes
---
## How to Read the Oscillator
* **Above 50 (Green)**
High-volatility regime. Momentum strategies, breakout logic, and wider risk parameters tend to perform better.
* **Below 50 (Red)**
Low-volatility regime. Mean-reversion, range trading, and tighter risk controls are generally more appropriate.
* **The 50 Level**
Acts as a *volatility regime boundary*, not a buy/sell signal.
This indicator is **not directional**. It is a *context filter*.
---
## What This Indicator Is Best Used For
* Enabling/disabling strategies based on volatility regime
* Filtering false signals in low-volatility environments
* Position sizing and stop-distance adaptation
* Multi-asset volatility comparison using a common scale
---
## What This Indicator Is NOT
* ❌ Not a buy or sell signal
* ❌ Not a trend indicator
* ❌ Not predictive on its own
It is designed to be used **in combination with price, trend, or momentum logic**.
---
## Disclaimer
This indicator is provided for **educational and informational purposes only**.
It does not constitute financial advice, investment recommendations, or an offer to buy or sell any financial instrument. Trading involves risk, and past performance does not guarantee future results.
You are solely responsible for any trading decisions you make using this tool.
---
## Like This Indicator?
If you find this volatility regime tool useful:
* ⭐ **Add it to your favorites**
* 💬 **Leave a comment or feedback** — suggestions are welcome
* 👤 **Follow for future updates and new quantitative tools**
Your support helps improve and refine this work.
---
*Designed with a quantitative, regime-based approach to market analysis.*
Daily 10 & 20 EMA (Shown on All Timeframes)The 10-day EMA is the quicker one. It hugs price closely, reacting fast to every twitch and hesitation. When price respects it, momentum feels alive. When price slices through it, you sense hesitation before it shows up elsewhere.
The 20-day EMA moves with more weight. It doesn’t flinch at noise. It represents the market’s short-term memory, the line price keeps returning to when trends are healthy. Above it, bias feels constructive. Below it, gravity takes over.
Together, they form a rhythm pair:
When the 10 EMA rides above the 20 EMA, the market is leaning forward.
When the 10 EMA sinks below the 20 EMA, momentum is cooling or rolling over.
When price compresses between them, indecision is building energy.
Across all timeframes, they scale like a fractal:
On lower timeframes, they act as tactical guides for entries, pullbacks, and exits.
On higher timeframes, they define structure, trend health, and whether moves are worth trusting.
They don’t predict. They contextualize.
They don’t command. They frame the battlefield
Educational Trend Direction (Up & Down)🔍 Overview
This indicator is designed to visually represent trend direction and trend transitions using a simple moving-average relationship. It is built strictly for educational and analytical purposes, allowing users to observe how price behaves during upward and downward market phases without relying on trading signals or predictions.
The indicator focuses on trend context, not trade execution.
⚙️ How the Indicator Works
The script calculates two exponential moving averages:
A fast trend line that reacts quickly to recent price changes
A slow trend line that represents broader market direction
Trend direction is determined by the relative position of these two lines.
When the fast line moves above the slow line, the market is considered to be in an upward trend phase
When the fast line moves below the slow line, the market is considered to be in a downward trend phase
This relationship helps visualize trend shifts and momentum changes in a simple and intuitive way.
🎨 Visual Components Explained
🟢 Green Trend Line
Represents the fast moving average during upward trend phases
Indicates that price is maintaining strength relative to the broader trend
Color reflects trend direction only, not confirmation or entry
🔴 Red Trend Line
Represents the fast moving average during downward trend phases
Indicates sustained weakness relative to the broader trend
Color does not imply selling or future continuation
⚪ Grey Trend Line
Represents the slow moving average
Acts as a baseline trend reference
Helps distinguish between short-term fluctuations and broader direction
🎨 Background Shading
Light green shading appears during upward trend environments
Light red shading appears during downward trend environments
Background color provides context only and does not signal market actions
🎯 Purpose & Benefits
Helps identify trend phases in a clear and minimal way
Improves understanding of trend transitions and momentum shifts
Reduces visual noise compared to raw price data
Encourages context-based analysis instead of signal dependency
Suitable for all markets and timeframes
⚠️ Important Notes
This indicator does not generate buy or sell signals
No targets, stop levels, or performance metrics are included
Trend conditions are descriptive, not predictive
Past behavior does not guarantee future outcomes
Users should always apply their own analysis and risk management when interpreting market data.
📚 Intended Use
This tool is intended for:
Market trend study
Educational demonstrations
Visual analysis of trend direction
Long-term chart structure awareness
It is not intended for automated trading or decision-making.
Regression ChannelAn enhanced version of TradingView's Linear Regression Channel that displays multiple upper and lower deviation channels with support for both linear and exponential regression models.
Getting Started & Usage
This indicator overlays a regression channel with up to 4 customizable standard deviation levels above and below the regression line. By default, it uses linear regression, but you can switch to an exponential regression model for curved price trends.
For detailed explanations of the statistical concepts and additional usage examples, please visit the documentation .
Celestial StateCelestial State (C1) – Market Bias & Candle Intent
Celestial State (C1) is a price-action indicator designed to clarify market bias, momentum, and risk conditions using nothing but candle structure.
No indicators.
No lag.
Just clean candle logic.
The tool separates state (what the market is) from intent (what the market is doing right now).
🔹 Core Concept
The indicator works on the chart timeframe and uses closed candles only to define market state.
It then monitors the current candle to identify:
momentum confirmation
early warnings
potential trap / reversal behaviour
🔹 Market State (Based on C1 – last closed candle)
State is derived from the relationship between the last two closed candles:
Bull Trend Start
Bearish candle → Bullish candle
Bull Continuation
Bullish candle → Bullish candle
Bear Trend Start
Bullish candle → Bearish candle
Bear Continuation
Bearish candle → Bearish candle
This defines the directional environment before any decision is made.
🔹 Bias & Momentum (Live Candle)
Once state is defined, the current candle is monitored relative to the previous candle’s high and low.
Strong Buy
Bullish state
Previous candle bullish
Current candle breaks previous high
Strong Sell
Bearish state
Previous candle bearish
Current candle breaks previous low
These represent momentum continuation with confirmation.
Buy / Sell (Normal Bias)
Price is in a bullish or bearish state
No momentum break yet
This is directional bias without confirmation.
Changing Bias
Bullish state + previous low broken
Bearish state + previous high broken
This warns that control is being challenged and conditions may be shifting.
🔹 Flip (Strict Order)
A Flip is a high-risk condition where expansion fails:
Bull Flip
Current candle breaks previous high first, then breaks previous low
Bear Flip
Current candle breaks previous low first, then breaks previous high
This often signals:
failed breakouts
stop hunts
transition zones
🔹 Visual Output
Top-right panel shows:
Current Celestial State (C1)
Current Bias (Strong Buy / Sell / Changing Bias)
Short explanation (e.g. High broken, Low broken)
On-chart markers are intentionally minimal and offset away from price to reduce clutter.
🔹 Who This Is For
This indicator is built for traders who:
trade price action
want context before execution
prefer clarity over complexity
understand that bias ≠ entry
⚠️ Disclaimer
This tool does not provide entries, exits, or risk management.
It is a context and intent framework, not a signal system.
Use it as a decision-support layer alongside your own execution rules.
Rolling VWAP - Clean Tunnel Bands (Consecutive Fills)Advanced Rolling Volume Weighted Average Price (RVWAP) indicator with 10 standard deviation bands arranged in clean consecutive zones without overlap.
Key Features:
• Real-time Rolling VWAP calculated over a time-based window (auto or user-defined)
• 10 deviation levels: 0.5σ to 5.0σ
• "Tunnel" visual effect: very transparent bands near VWAP, progressively more opaque toward extremes
• Consecutive fill system (no overlapping fills between bands)
• Individual control for each band: toggle visibility + independent transparency slider
• Automatic timeframe-based period or custom fixed period (Days/Hours/Minutes)
• Minimum bars protection to prevent calculation errors during market gaps and holidays
• Optional info box showing current period
Ideal for:
- Spotting extreme price deviations
- Mean reversion strategies
- Volatility analysis
- Support/resistance zone identification
- Clean visual tunnel for better readability
Based on TradingView's official "Rolling VWAP" indicator, heavily enhanced with clean consecutive fills and full per-band customization.
Recommended default transparency (higher = more transparent):
- Inner bands (0.5σ–1.5σ): 93–98
- Middle bands (2.0σ–3.0σ): 77–89
- Outer bands (3.5σ–5.0σ): 32–68
Enjoy and trade responsibly!
EMA 5 7 Ribbon You can use this to catch bi moves.
There are simple moving averages.
you can change colour in settings.
Funnelzon Graded Buy and Sell Signals (LITE) MFI MTFFunnelzon Buy and Sell Signals (EMA Zones) – LITE is a lightweight overlay indicator built for scalping and short-term trading. It generates BUY/SELL signals, grades each signal (A+ to F), and provides a clean Confirmation Box that summarizes multi-timeframe context so you can make faster, more structured decisions.
How it works
Signal Engine (LTF)
Signals are triggered using an ATR-based “scalp helper” logic with adjustable sensitivity.
A stop-state system helps reduce repeated or noisy entries.
Signal Scoring & Grades (A+ → F)
When a signal appears, it is evaluated by a context pipeline that considers:
Adaptive momentum/flow (AMF)
ALMA trend alignment
Support/Resistance proximity
Swing structure behavior
Market regime / trend strength (ADX-based)
The result is a score mapped to a grade:
A+ / A = strongest signals
B / C = mixed conditions
D / F = low-quality conditions
Optional Filters
MFI Filter: Helps avoid signals that do not meet Money Flow conditions.
HTF Confirmation (MTF): Uses HTF1 and HTF2 bias. Choose strict filtering or soft alignment.
Confirmation Box (Dashboard)
The box displays:
HTF State: Trend Long / Trend Short / HTF Conflict / Neutral
Market Mode: Trend / Pullback / Conflict
Trade Bias: Long-only / Short-only / Wait
ENTRY NOW? = “YES” when HTF bias and LTF signal align
MFI status + HTF1/HTF2 direction
Optional Structure Tools
EMA overlays: 9 / 12 / 20 / 50 / 100 / 200
Auto Supply/Demand zones (pivot-based, ATR thickness, configurable extension and limits)
Best practices (recommended workflow)
Prefer trading A+ / A signals only.
Trade in the direction of HTF State when possible.
If Market Mode shows PULLBACK or CONFLICT, reduce risk or wait for better alignment.
Use Supply/Demand zones and EMAs for structure (targets, invalidation, and bias).
Important: Confirmation with Stochastic + MACD
This script is a signal + context tool, not a guarantee. To validate signal confirmation, it is strongly recommended to use:
Stochastic Oscillator (momentum/exhaustion confirmation)
MACD (trend momentum and direction confirmation)
Only take trades when the script signal and your confirmation indicators agree.
Alerts
Includes alert conditions for:
Buy Signal
Sell Signal
Any Signal
ENTRY NOW (HTF + LTF aligned)
ENTRY NOW Long / ENTRY NOW Short
Disclaimer
This indicator is for educational purposes and does not constitute financial advice. Always backtest, manage risk, and confirm signals with your own rules.
Relative Strength Leadership Engine (Open Source)Relative Strength Leadership Engine (Open Source)
The Relative Strength Leadership Engine is a context-first indicator designed to evaluate whether a symbol is behaving like a market leader relative to a benchmark index (default: SPY).
Instead of producing trade signals, this tool answers a higher-level question:
Is relative strength leadership present — and is the broader market environment supportive right now?
Leadership is expressed through permission states (FULL / CAUTION / BLOCKED), accompanied by clear, deterministic diagnostics that explain why leadership is permitted or denied.
What Makes This Tool Different
Most relative strength indicators focus on a single dimension (RS line, ratio, or new-high detection).
This engine evaluates leadership across multiple independent layers, including:
Relative strength vs a benchmark baseline
Volatility-normalized RS momentum
Proximity to relative strength highs and leadership freshness
Multi-horizon confirmation (daily / weekly / monthly)
Optional benchmark timing filter (risk-on vs risk-off context)
Leadership is granted only when multiple conditions align, and denied when evidence weakens.
Permission-Based Output (Not Signals)
This indicator does not generate entries, exits, or trade recommendations.
Instead, it provides leadership permission states:
ENGAGE — leadership conditions are supportive
OBSERVE / WAIT — leadership exists but timing or quality is degraded
STAND DOWN — leadership is broken or unsupported
When leadership is permitted, the panel confirms that all required conditions are supportive.
When leadership is denied, the primary failure is explicitly identified.
How to Use
This tool is intended for upstream decision-making, such as:
Filtering leadership candidates before applying setups
Monitoring leadership quality and aging
Avoiding forced participation during unfavorable market conditions
Adding regime and participation context to discretionary or systematic workflows
Permission is fail-closed by design and only granted when evidence supports it.
Alerts (Informational Only)
Optional alerts notify users of state transitions (e.g., leadership entering FULL or CAUTION), relative strength new highs, or momentum re-acceleration events.
All alerts are descriptive and informational, not trading instructions.
Important Notes
Indicator only — no orders, no trade execution
No repaint or lookahead logic
Educational and informational use only — not financial advice
Auto Trend LinesPivot Left/Right Bars: Higher = fewer but stronger pivots (try 5-15 for weekly charts)
Extend Lines Forward: How far to project (50-200 bars recommended)
Line Color: Change to match your preference
Show Pivot Markers: Turn on to see where pivots are detected
Cruzamento MACD 15 min sauloCruzamento macd nos 15 min, quando acontece o cruzamento o indicador da o sinal de compra e venda.
Standard Deviation Channel (4x)Standard Deviation Channel (4x)
A linear regression channel with up to 4 standard deviation bands on each side, plus built-in moving averages and high/low levels from higher timeframes. Basically everything I need on one indicator without cluttering my chart with 5 different scripts.
What it does
The core is a standard deviation channel based on linear regression. You get the regression line (base) and can enable up to 4 deviation levels above and below (±1σ, ±2σ, ±3σ, ±4σ). Each level can be toggled independently and the multipliers are adjustable if you want something like 1.5 or 2.5 instead of whole numbers. The fills between bands help visualize the zones.
Pearson's R is available if you want to see the correlation strength of the regression.
Moving Averages
6 MAs included, each fully configurable:
- Type: SMA, EMA, WMA, VWMA, RMA, HMA, DEMA, TEMA
- Custom length and source
- Individual colors
High/Low Levels
Shows horizontal lines at:
- Weekly High/Low
- Monthly High/Low
- Yearly High/Low
- Previous Week/Month/Year High/Low
Useful for spotting key levels without switching timeframes. Labels included so you know which line is which.
Alerts
- Deviation band breaks (all 8 levels)
- MA crossovers (price crossing above/below)
- High/Low level breaks
Settings
Everything is off by default except the ±1σ and ±2σ bands. Enable what you need, disable what you don't. Colors are fully customizable.
Overlay: BTC vs Global Liquidity (WALCL + TGA - RRP)Overlay: BTC vs Global Liquidity (WALCL + TGA - RRP)
EMA 5/10 + MACD Signals (Split Pane)EMA 5/10 + MACD Signals (Split Pane) combine into sigle indicator for free user
Advanced MTF EMA Analyzer - Real-Time HTF📊 ADVANCED MTF EMA ANALYZER - REAL-TIME HTF
🎯 WHAT IS THIS INDICATOR?
This advanced multi-timeframe EMA indicator displays up to 9 different timeframe EMAs on a single chart with smooth, real-time updating lines. Unlike traditional MTF indicators that show stepped/choppy lines, this analyzer provides fluid, continuously updating EMA lines by calculating them at your current timeframe resolution.
✨ KEY FEATURES
• 9 TIMEFRAME SUPPORT: Track EMAs across 15m, 30m, 1h, 2h, 4h, 6h, 8h, 12h, and 1D
• SMOOTH LINES: No more stepped/choppy higher timeframe lines - every candle updates smoothly
• REAL-TIME CALCULATION: Uses lookahead methodology to provide live HTF data on lower timeframes
• CUSTOMIZABLE EMA PERIOD: Choose any EMA length (default: 200)
• DISTANCE TABLE: Shows exact distance from price to each EMA in percentage terms
• SELECTIVE DISPLAY: Toggle any timeframe on/off individually
• COLOR-CODED: Each timeframe has a unique color for easy identification
🔧 HOW IT WORKS
The indicator fetches close prices from higher timeframes and applies EMA calculation on your current timeframe. For example, when viewing a 5-minute chart:
- 1 hour = 12 candles of 5m data
- 4 hours = 48 candles of 5m data
- Each 5m candle recalculates the EMA, creating smooth, fluid lines
This approach eliminates the traditional "stepped" appearance of higher timeframe indicators while maintaining accurate trend representation.
📋 DASHBOARD INFORMATION
The built-in table displays:
- Current price
- EMA values for each selected timeframe
- Percentage distance from price to each EMA
- Green (above EMA) / Red (below EMA) color coding
🎨 COLOR SCHEME
White: Current Timeframe | Yellow: 15m | Orange: 30m
Blue: 1h | Light Blue: 2h | Purple: 4h
Pink: 6h | Dark Purple: 8h | Dark Orange: 12h
Red: 1 Day
💡 BEST USE CASES
✓ Identifying multi-timeframe trend alignment
✓ Finding dynamic support/resistance levels
✓ Spotting trend strength across different periods
✓ Making better entry/exit decisions based on multiple timeframes
✓ Ideal for 5-minute charts with higher timeframe context
⚠️ DISCLAIMER
This indicator is for educational and informational purposes only. It should not be considered financial advice. Trading involves substantial risk of loss and is not suitable for everyone. Past performance does not guarantee future results. The use of "lookahead" functionality means this indicator may repaint historical values. Always perform your own analysis and consult with a qualified financial advisor before making trading decisions.
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👍 DID YOU FIND THIS USEFUL?
If this indicator helps your trading analysis, please consider:
⭐ LIKE this indicator
💬 LEAVE A COMMENT with your feedback
👥 FOLLOW for more quality indicators and updates
📧 CONTACT for suggestions, bug reports, or feature requests
Your support and feedback help improve this tool for the entire community!
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📌 VERSION: 1.0
📅 RELEASE: 2026
🔄 UPDATES: Follow for notifications on new features and improvements
Thank you for using Advanced MTF EMA Analyzer!
A Perfectly Simple Risk CalculatorA Perfectly Simple Risk Calculator
I use bad risk.
I learned my lesson.
This tool will tell me how many contracts to use according to my risk amount.
Thank you Grok for writing me this code.
TSM RSI + Supertrend (ATR SL + Partial Booking) 302026RSI + Supertrend Strategy (ATR Stop-Loss + Partial Profit Booking)
Strategy Objective
This strategy is designed to:
Trade only in strong trends
Avoid false entries using RSI confirmation
Protect capital with a volatility-based (ATR) stop-loss
Book profits in stages to reduce risk and ride big moves
🔧 Indicators Used
1️⃣ Supertrend
Role: Trend direction
Green line → Uptrend
Red line → Downtrend
Settings:
ATR Period: 10
Multiplier: 3
2️⃣ RSI (Relative Strength Index)
Role: Momentum confirmation
RSI above 50 → Bullish strength
RSI below 50 → Bearish strength
Settings:
RSI Length: 14
Level: 50
🟢 BUY (Long Trade) Rules
A BUY trade is taken when all conditions are met:
Supertrend changes from Red to Green
→ Trend turns bullish
RSI is above 50
→ Buying momentum is strong
📌 Entry:
➡️ Enter BUY at the next candle.
🔴 SELL (Short Trade) Rules
A SELL trade is taken when all conditions are met:
Supertrend changes from Green to Red
→ Trend turns bearish
RSI is below 50
→ Selling momentum is strong
📌 Entry:
➡️ Enter SELL at the next candle.
🛑 Stop-Loss (ATR-Based)
Stop-loss is calculated using ATR (Average True Range)
Adapts automatically to market volatility
BUY Trade
SL = Entry Price − (ATR × Multiplier)
SELL Trade
SL = Entry Price + (ATR × Multiplier)
✅ This avoids tight SL in volatile markets and wide SL in calm markets.
🎯 Partial Profit Booking Logic
🔹 First Target (Partial Exit)
50% of the position is booked at 1:1 Risk–Reward
This locks in profits early and reduces risk
🔹 Remaining 50%
Held as long as the Supertrend does not reverse
Exits only when the trend flips
Helps capture big trending moves
🔄 Exit Rules Summary
Situation Action
ATR Stop-Loss hit Full exit
1:1 target reached 50% profit booked
Supertrend flips Remaining 50% exited
⏱️ Best Timeframes
Trading Style Timeframe
Intraday 5 min / 15 min
Swing 1 Hour / Daily
Best markets:
Trending stocks
Index futures
Directional options (CE / PE)
⭐ Why This Strategy Is Powerful
✔ Trades with trend, not against it
✔ RSI filters weak signals
✔ ATR-based SL adjusts to volatility
✔ Partial booking reduces psychological pressure
✔ Lets winners run and cuts losers early
⚠️ Important Notes
Avoid sideways markets
Always backtest before live trading
Risk management is more important than entries.
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