ATR Stop Loss# ATR Stop Loss Indicator - Professional Trading Tool
## English Description
### 🎯 **ATR-Based Stop Loss Calculator - Your Risk Management Assistant**
**Never guess your stop loss again!** This professional indicator automatically calculates your optimal stop loss levels using the proven ATR (Average True Range) method.
#### ✨ **Key Features:**
- **Real-time ATR calculation** with customizable periods (default: 14 days)
- **Smart stop loss pricing** based on market volatility
- **Flexible ATR multiplier** (50%-300%) - adjust risk to your trading style
- **Live percentage tracking** - see exactly how much you're risking
- **Professional display** with 9 positioning options
- **Fully customizable** colors, text size, and transparency
- **Always visible** - stays on screen when you scroll or change timeframes
#### 📊 **What You See:**
```
ATR(14): $2.45
ATR Multiplier: 110%
STOP: $87.31 (-2.8%)
```
#### 🚀 **Why This Indicator is Essential:**
- **Professional Risk Management** - Set stops based on actual market volatility, not emotions
- **Saves Time** - No more manual calculations or guesswork
- **Reduces Losses** - Prevents premature stops while protecting capital
- **Improves Consistency** - Standardize your exit strategy across all trades
- **Perfect for All Styles** - Day trading, swing trading, or long-term investing
#### 💡 **How It Works:**
The indicator calculates the Average True Range over your chosen period, multiplies it by your risk preference (110% default), and subtracts from current price. This gives you a scientifically-backed stop loss that adapts to market conditions.
**Perfect for traders who want to:**
- ✅ Eliminate emotional decision-making
- ✅ Base stops on market volatility
- ✅ Maintain consistent risk management
- ✅ Save time on calculations
- ✅ Improve trading performance
---
## תיאור בעברית
### 🎯 **מחשבון Stop Loss מתקדם מבוסס ATR**
**תפסיק לנחש את רמת ה-Stop Loss שלך!** האינדיקטור המקצועי הזה מחשב אוטומטית את רמות ה-Stop Loss האופטימליות שלך בעזרת שיטת ה-ATR המוכחת.
#### ✨ **תכונות מרכזיות:**
- **חישוב ATR בזמן אמת** עם אפשרות התאמת תקופות (ברירת מחדל: 14 ימים)
- **תמחור חכם של Stop Loss** על בסיס תנודתיות השוק
- **מכפיל ATR גמיש** (50%-300%) - התאם את הסיכון לסגנון המסחר שלך
- **מעקב אחוזים חי** - ראה בדיוק כמה אתה מסכן
- **תצוגה מקצועית** עם 9 אפשרויות מיקום
- **התאמה אישית מלאה** - צבעים, גודל טקסט ושקיפות
- **תמיד גלוי** - נשאר על המסך כשאתה גולל או משנה טווחי זמן
#### 📊 **מה שתראה:**
```
ATR(14): $2.45
ATR Multiplier: 110%
STOP: $87.31 (-2.8%)
```
#### 🚀 **למה האינדיקטור הזה חיוני:**
- **ניהול סיכונים מקצועי** - קבע Stop על בסיס תנודתיות אמיתית של השוק, לא רגשות
- **חוסך זמן** - בלי עוד חישובים ידניים או ניחושים
- **מפחית הפסדים** - מונע Stop מוקדם מדי ובו זמנית מגן על ההון
- **משפר עקביות** - תקנן את אסטרטגיית היציאה שלך בכל העסקות
- **מושלם לכל הסגנונות** - Day Trading, Swing Trading או השקעות ארוכות טווח
#### 💡 **איך זה עובד:**
האינדיקטור מחשב את הממוצע של True Range על פני התקופה שבחרת, מכפיל בהעדפת הסיכון שלך (110% כברירת מחדל), ומחסיר מהמחיר הנוכחי. זה נותן לך Stop Loss מבוסס מדעית שמתאים לתנאי השוק.
**מושלם לטריידרים שרוצים:**
- ✅ לחסל קבלת החלטות רגשית
- ✅ לבסס Stop על תנודתיות השוק
- ✅ לשמור על ניהול סיכונים עקבי
- ✅ לחסוך זמן על חישובים
- ✅ לשפר את ביצועי המסחר
---
### 🏷️ **Tags:** ATR, Stop Loss, Risk Management, Trading Tools, Volatility, Technical Analysis
Bands and Channels
Trendstone No-Trade ZoneUse the Trendstone No-Trade Zone as a gatekeeper: whenever price is inside or even kissing the shaded ribbon, you stand down, no new entries. Treat a clean close outside the ribbon as "conditions are acceptable", not as a signal.
Your own setup still decides entries and exits. If you want the zone to react faster to shifts, lower the Multiplier ; if you want it steadier and harder to penetrate, raise the Multiplier .
Flip Use Aggressive Zero-Lag Profile on when you’re working short horizons and need earlier reads; turn it off when you prefer a calmer, more selective filter.
Ribbon-lines are hidden by default. You can set your preferred color/opacity in the Style panel.
Momentum Standard Deviation | LyroRSMomentum Standard Deviation | LyroRS
Overview
This indicator is designed to measure market momentum relative to standard deviation envelopes, while offering traders tools for identifying directional bias, valuation extremes, and early signals of potential reversals. By combining momentum with standard deviation analysis, smoothing functions, dynamic coloring, and table-based reporting, the script provides both a detailed and modular approach to momentum-based trading.
At its foundation, the indicator calculates momentum from a user-selected source, with optional smoothing applied through a variety of moving average types. Standard deviation is then measured around the momentum line to form upper and lower bands, which represent volatility-adjusted boundaries. These bands help identify whether momentum is overextended or trending strongly in a given direction. Signals are generated when momentum or its deviation bands cross key thresholds, with visual cues, background coloring, and plot shapes highlighting bullish or bearish shifts. A structured table summarizes the state of the system, including momentum trend, deviation trend, early insight conditions, and reversal signals, allowing traders to quickly interpret multiple layers of analysis.
Originality
In terms of originality, this script unifies momentum and standard deviation into a combined framework, rather than treating them as separate calculations. The ability to smooth source data, momentum, and deviation independently introduces flexibility, making it adaptable across assets and timeframes. Unique visualization features include futuristic-style fills, customizable color palettes, Heikin Ashi–like candle overlays, and dynamic table reporting. Together, these elements create a modular design that not only signals directional bias but also reports on context, such as early momentum flips and overbought/oversold reversals, which are often overlooked by standard momentum tools.
Key Features
Moving average inputs allow users to choose the calculation source, enable smoothing, select from multiple moving average types, and adjust lengths for smoothing both price and momentum.
Momentum settings define the lookback period and allow optional smoothing with user-specified averages.
Standard deviation inputs include length, smoothing options, moving average type, and smoothing length, offering control over the sensitivity of volatility envelopes.
Display options enable background coloring for early signals, reversal labels, momentum line plotting, and futuristic fills. Color schemes can be chosen from predefined palettes (Classic, Mystic, Accented, Royal) or set manually with custom bullish and bearish colors.
Table settings include options for overlaying the table, positioning it anywhere on the chart, and adjusting table size from huge to tiny.
Visualization
Visualization includes upper and lower deviation bands, a smoothed average line, colored momentum plots, dynamic fills between bands, optional reversal arrows, and background shading for early insight conditions. The integrated table provides a concise breakdown of module states, showing whether deviation and momentum trends are bullish or bearish, whether an early momentum flip is detected, and whether reversals are signaled. Alerts are available for all conditions, including momentum and deviation direction changes, early signals, and bullish or bearish reversals.
Summary
In summary, the Momentum Standard Deviation indicator blends momentum and volatility analysis into a flexible, multi-layered tool. Its modular structure allows traders to analyze trends, volatility-adjusted overextensions, and early momentum shifts within one framework. With customizable smoothing, advanced visualization, integrated tables, and alert conditions, the indicator provides a structured method of tracking momentum states while remaining adaptable to different market conditions.
⚠️Disclaimer
This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
Volatility Linear Regression Gaussian | Lyro RSVolatility Linear Regression Gaussian | Lyro RS
Overview
This indicator integrates linear regression analysis, Gaussian filtering, volatility measures, and regime detection into a single momentum and trend framework. Its purpose is to provide traders with a structured perspective on market state by combining smoothed regression signals with volatility envelopes and adaptive visualizations. Through these elements, it offers insights into whether markets are trending, consolidating, overextended, or reverting.
The indicator begins by applying a Gaussian filter to the chosen source, smoothing price data while preserving structural characteristics. Around this smoothed signal, volatility measures are introduced using ATR and standard deviation calculations, forming adaptive envelopes that define overbought and oversold conditions. A linear regression of filtered momentum values is then produced, with optional smoothing via multiple moving average types. This core regression signal becomes the basis for trend, strength, and reversal assessments. Users can toggle between Classic or Heikin Ashi display modes, with each mode providing a different representation of regression-driven momentum dynamics.
Originality
In terms of originality, this script distinguishes itself by unifying several advanced concepts into one modular framework. Gaussian smoothing of the regression base adds flexibility beyond standard linear regression models, while volatility-adjusted ATR bands and dynamic standard deviation envelopes frame regression values within a probabilistic context. The addition of a regime detector further expands utility by classifying the environment as trending or mean-reverting. Combined with Heikin Ashi transformations, multi-mode operation, customizable visualization, and integrated tables, this design enables a single indicator to adapt across multiple strategies, from directional bias to mean reversion and reversal identification.
Key Features
Linear regression inputs allow traders to choose the price source, regression length, smoothing method, and smoothing length, defining the sensitivity of the regression calculation.
Gaussian settings provide control over length and sigma, letting users adjust the degree of smoothing applied to the base signal.
Volatility settings define ATR length and factor as well as standard deviation length, tuning the responsiveness of volatility envelopes.
The regime detector offers long- or short-term modes, background coloring, and transparency adjustments for identifying structural market states.
Standard deviation band settings control whether a zero-line or dynamic midline is used, along with band length and multiplier for overbought/oversold thresholds.
Display options include Classic or Heikin Ashi modes, along with operational modes for Trend, Strength, or Reversals. Color schemes can be selected from predefined palettes or fully customized.
Table settings allow enabling or disabling the summary table, setting its position, forcing overlay if necessary, and choosing from multiple size options.
Visualization
The visualization combines dynamic candles, regression curves, standard deviation bands with shaded fills, and optional background colors tied to regime detection. A summary table displays active module states, showing the condition of trend, strength, reversals, and regime at a glance. Alerts are provided for all key conditions across both Classic and Heikin Ashi modes, including directional trend shifts, strength changes, reversal states, and regime classification.
Summary
In summary, the Volatility Linear Regression Gaussian indicator is a versatile analytical framework built from regression, Gaussian smoothing, volatility envelopes, and regime detection. Its design emphasizes adaptability by offering multiple operational modes, display variations, and alert conditions. By consolidating advanced methods into one unified tool, it supports different analytical approaches within a consistent and customizable structure.
⚠️Disclaimer
This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
DTrend & Volume Strong BUY Signal: Look for a green WMA, combined with a green circle and a blue triangle.
Waves of Wealth Pair Trading RatioThis versatile indicator dynamically plots the ratio between two user-selected instruments, helping traders visualize relative performance and detect potential mean-reversion or trend continuation opportunities.
Features include:
User inputs for selecting any two instrument symbols for comparison.
Adjustable moving average period to track the average ratio over time.
Customizable standard deviation multiplier to define statistical bands for overbought and oversold conditions.
Visual display of the ratio line alongside upper and lower bands for clear trading signals.
Ideal for pair traders and market analysts seeking a flexible tool to monitor inter-asset relationships and exploit deviations from historical norms.
Simply set your preferred symbols and parameters to tailor the indicator to your trading style and assets of interest.
How to Use the Custom Pair Trading Ratio Indicator
Select symbols: Use the indicator inputs to set any two instruments you want to compare—stocks, commodities, ETFs, or indices. No coding needed, just type or select from the dropdown.
Adjust parameters: Customize the moving average length to suit your trading timeframe and style. The standard deviation multiplier lets you control sensitivity—higher values mean wider bands, capturing only larger deviations.
Interpret the chart:
The ratio line shows relative strength between the two instruments.
The middle line represents the average ratio (mean).
The upper and lower bands indicate statistical extremes where price action is usually overextended.
Trading signals:
Look to enter pair trades when the ratio moves outside the bands—expecting a return to the mean.
Use the bands and mean to set stop-loss and profit targets.
Combine with other analysis or fundamental insight for best results.
EASY GREENPEN V.1 - BTCUSDThis indicator automatically plots the 7 a.m. box (กรอบ 7 โมงเช้า) to highlight the most important market range of the day.
Why 7 a.m.?
The 7 a.m. candle often defines the daily high–low range and provides a key reference for intraday trading.
Breakouts or retests of this box frequently lead to high-probability setups.
Key Features:
Automatically draws the 7 a.m. box with adjustable session times.
Highlights potential breakout zones for intraday trades.
Simple and clean design for fast decision-making.
Works on multiple timeframes (recommended M5–H1).
This tool is designed for traders who want to focus on London/Asian session transitions and use the 7 a.m. range as a tactical advantage.
Disclaimer: This indicator is for educational purposes only. Trading involves risk – use proper risk management.
Double Median SD Bands | MisinkoMasterThe Double Median SD Bands (DMSDB) is a trend-following tool designed to capture market direction in a way that balances responsiveness and smoothness, filtering out excessive noise without introducing heavy lag.
Think of it like a house:
A jail (too restrictive) makes you miss opportunities.
No house at all (too unsafe) leaves you exposed to false signals.
DMSDB acts like a comfortable house with windows—protecting you from the noise while still letting you see what’s happening in the market.
🔎 Methodology
The script works in the following steps:
Standard Deviation (SD) Calculation
Computes the standard deviation of the selected price source (ohlc4 by default).
The user can choose whether to use biased (sample) or unbiased (population) standard deviation.
Raw Bands Construction
Upper Band = source + (SD × multiplier)
Lower Band = source - (SD × multiplier)
The multiplier can be adjusted for tighter or looser bands.
First Median Smoothing
Applies a median filter over half of the length (len/2) to both bands.
This reduces noise without creating excessive lag.
Second Median Smoothing
Applies another median filter over √len to the already smoothed bands.
This produces a balance:
Cutting the length → maintains responsiveness.
Median smoothing → reduces whipsaws.
The combination creates a fast yet clean band system ideal for trend detection.
📈 Trend Logic
The trend is detected based on price crossing the smoothed bands:
Long / Bullish (Purple) → when price crosses above the upper band.
Short / Bearish (Gold) → when price crosses below the lower band.
Neutral → when price remains between the bands.
🎨 Visualization
Upper and lower bands are plotted as colored lines.
The area between the bands is filled with a transparent zone that reflects the current bias:
Purple shading = Bullish zone.
Golden shading = Bearish zone.
This creates a visual tunnel for trend confirmation, helping traders quickly identify whether price action is trending or consolidating.
⚡ Features
Adjustable Length parameter (len) for dynamic control.
Adjustable Band Multiplier for volatility adaptation.
Choice between biased vs. unbiased standard deviation.
Double median smoothing for clarity + responsiveness.
Works well on cryptocurrencies (e.g., BTCUSD) but is flexible enough for stocks, forex, and indices.
✅ Use Cases
Trend Following → Ride trends by staying on the correct side of the bands.
Entry Timing → Use crossovers above/below bands for entry triggers.
Filter for Other Strategies → Can serve as a directional filter to avoid trading against the trend.
⚠️ Limitations & Notes
This is a trend-following tool, so it will perform best in trending conditions.
In sideways or choppy markets, whipsaws may still occur (although smoothing reduces them significantly).
The indicator is not a standalone buy/sell system. For best results, combine with volume, momentum, or higher-timeframe confluence.
All of this makes for a really unique & original tool, as it removes noise but keeps good responsitivity, using methods from many different principles which make for a smooth a very useful tool
Bollinger Adaptive Trend Navigator [QuantAlgo]🟢 Overview
The Bollinger Adaptive Trend Navigator synthesizes volatility channel analysis with variable smoothing mechanics to generate trend identification signals. It uses price positioning within Bollinger Band structures to modify moving average responsiveness, while incorporating ATR calculations to establish trend line boundaries that constrain movement during volatile periods. The adaptive nature makes this indicator particularly valuable for traders and investors working across various asset classes including stocks, forex, commodities, and cryptocurrencies, with effectiveness spanning multiple timeframes from intraday scalping to longer-term position analysis.
🟢 How It Works
The core mechanism calculates price position within Bollinger Bands and uses this positioning to create an adaptive smoothing factor:
bbPosition = bbUpper != bbLower ? (source - bbLower) / (bbUpper - bbLower) : 0.5
adaptiveFactor = (bbPosition - 0.5) * 2 * adaptiveMultiplier * bandWidthRatio
alpha = math.max(0.01, math.min(0.5, 2.0 / (bbPeriod + 1) * (1 + math.abs(adaptiveFactor))))
This adaptive coefficient drives an exponential moving average that responds more aggressively when price approaches Bollinger Band extremes:
var float adaptiveTrend = source
adaptiveTrend := alpha * source + (1 - alpha) * nz(adaptiveTrend , source)
finalTrend = 0.7 * adaptiveTrend + 0.3 * smoothedCenter
ATR-based volatility boundaries constrain the final trend line to prevent excessive movement during volatile periods:
volatility = ta.atr(volatilityPeriod)
upperBound = bollingerTrendValue + (volatility * volatilityMultiplier)
lowerBound = bollingerTrendValue - (volatility * volatilityMultiplier)
The trend line direction determines bullish or bearish states through simple slope comparison, with the final output displaying color-coded signals based on the synthesis of Bollinger positioning, adaptive smoothing, and volatility constraints (green = long/buy, red = short/sell).
🟢 Signal Interpretation
Rising Trend Line (Green): Indicates upward direction based on Bollinger positioning and adaptive smoothing = Potential long/buy opportunity
Falling Trend Line (Red): Indicates downward direction based on Bollinger positioning and adaptive smoothing = Potential short/sell opportunity
Built-in Alert System: Automated notifications trigger when bullish or bearish states change, allowing you to act on significant development without constantly monitoring the charts
Candle Coloring: Optional feature applies trend colors to price bars for visual consistency
Configuration Presets: Three parameter sets available - Default (standard settings), Scalping (faster response), and Swing Trading (slower response)
Estratégia MSB AnúbisThe MSB Anubis Strategy combines RSI, volume, and divergences to identify potential reversal points with greater accuracy.
It includes the 200-period SMA as a trend filter, providing additional context
USD-TRADER-ROYThe USD-TRADER-ROY is a custom TradingView indicator designed for crypto and USD market analysis. It tracks a smoothed ratio between USDT dominance and historical averages (similar to the Puell Multiple concept) to highlight potential buy or sell zones.
Key features include:
Dynamic Buy/Sell Zones: Visual horizontal levels to indicate potential accumulation or profit-taking areas.
Visual Feedback: Colored backgrounds and bar colors to quickly show whether conditions suggest caution, accumulation, or potential selling.
Custom Alerts: Built-in alert conditions that notify traders when the market approaches critical thresholds, making it easier to act on opportunities without constant monitoring.
Flexible Parameters: Adjustable inputs for thresholds and risk levels to suit different strategies or risk tolerances.
This tool is aimed at traders who want a visual, alert-based system for gauging market extremes and managing entries/exits efficiently. It works best when combined with your own analysis and risk management.
4H IB + BO Midpoint – [SANIXLAB]This indicator plots the Initial Balance (IB) high and low for each 4-hour period and automatically calculates potential breakout levels and midpoints.
At the start of every new 4-hour block the script:
Captures that block’s high and low (Initial Balance),
Draws horizontal lines at the IB high, low and midpoint,
Calculates breakout targets above and below the IB using (optional) extension factor,
Creates horizontal lines at those breakout levels and their midpoint,
Breakout areas extend as new bars arrive.
MR.L
Apex Edge – Wolfe Wave HunterApex Edge – Wolfe Wave Hunter
The modern Wolfe Wave, rebuilt for the algo era
This isn’t just another Wolfe Wave indicator. Classic Wolfe detection is rigid, outdated, and rarely tradable. Apex Edge – Wolfe Wave Hunter re-engineers the pattern into a modern, SMC-driven model that adapts to today’s liquidity-dominated markets. It’s not about drawing pretty shapes – it’s about extracting precision entries with asymmetric risk-to-reward potential.
🔎 What it does
Automatic Wolfe Wave Detection
Identifies bullish and bearish Wolfe Wave structures using pivot-based logic, symmetry filters, and slope tolerances.
Channel Glow Zones
Highlights the Wolfe channel and projects it forward into the future (bars are user-defined). This allows you to see the full potential of the trade before price even begins its move.
Stop Loss (SL) & Entry Arrow
At the completion of Wave 5, the algo prints a Stop Loss line and a tiny entry arrow (green for bullish, red for bearish). but the colours can be changed in user settings. This is the “execution point” — where the Wolfe setup becomes tradable.
Target Projection Lines
TP1 (EPA): Derived from the traditional 1–4 line projection.
TP2 (1.272 Fib): Optional secondary profit target.
TP3 (1.618 Fib): Optional extended target for large runners.
All TP lines extend into the future, so you can track them as price evolves.
Volume Confirmation (optional)
A relative volume filter ensures Wave 5 is formed with meaningful market participation before a setup is confirmed.
Alerts (ready out of the box)
Custom alerts can be fired whenever a bullish or bearish Wolfe Wave is confirmed. No need to babysit the charts — let the script notify you.
⚙️ Customisation & User Control
Every trader’s market and style is different. That’s why Wolfe Wave Hunter is fully customisable:
Arrow Colours & Size
Works on both light and dark charts. Choose your own bullish/bearish entry arrow colours for maximum visibility.
Tolerance Levels
Adjust symmetry and slope tolerance to refine how strict the channel rules are.
Tighter settings = fewer but cleaner zones.
Looser settings = more frequent setups, but with slightly lower structural quality.
Channel Glow Projection
Define how many bars forward the channel is drawn. This controls how far into the future your Wolfe zones are extended.
Stop Loss Line Length
Keep the SL visible without it extending infinitely across your chart.
Take Profit Line Colors
Each TP projection can be styled to your preference, allowing you to clearly separate TP1, TP2, and TP3.
This isn’t a one-size-fits-all tool. You can shape Wolfe detection logic to match the pairs, timeframes, and market conditions you trade most.
🚀 Why it’s different
Classic Wolfe waves are rare — this script adapts the model into something practical and tradeable in modern markets.
Liquidity-aligned — many setups align with structural sweeps of Wave 3 liquidity before driving into profit.
Entry built-in — most Wolfe scripts only draw the structure. Wolfe Wave Hunter gives you a precise entry point, SL, and projected TPs.
Backtest-friendly — you’ll quickly discover which assets respect Wolfe waves and which don’t, creating your own high-probability Wolfe watchlist.
⚠️ Limitations & Disclaimer
Not all markets respect Wolfe Waves. Some FX pairs, metals, and indices respect the structure beautifully; others do not. Backtest and create your own shortlist.
No guaranteed sweeps. Many entries occur after a liquidity sweep of Wave 3, but not all. The algo is designed to detect Wolfe completion, not enforce textbook liquidity rules.
Probabilistic, not predictive. Wolfe setups don’t win every time. Always use risk management.
High-RR focus. This is not a high-frequency tool. It’s designed for precision, asymmetric setups where risk is small and reward potential is large.
✅ The Bottom Line
Apex Edge – Wolfe Wave Hunter is a modern reimagination of the Wolfe Wave. It blends structural geometry, liquidity dynamics, and algo-driven execution into a single tool that:
Detects the pattern automatically
Provides SL, entry, and TP levels
Offers alerts for hands-off trading
Allows deep customisation for different markets
When it hits, it delivers outstanding risk-to-reward. Backtest, refine your tolerances, and build your watchlist of assets where Wolfe structures consistently pay.
This isn’t just Wolfe detection — it’s Wolfe trading, rebuilt for the modern trader.
Developer Notes - As always with the Apex Edge Brand, user feedback and recommendations will always be respected. Simply drop us a message with your comments and we will endeavour to address your needs in future version updates.
8 EMA/SMA + HMA + Pivot PointsMultiple customizeable Moing average indictors including Hall moving average, Exponential Moving average. Also includes Pivot Point indicator as an all-in-one indicator
Bollinger Bands (with Width/GaUGE)This overlay plots standard Bollinger Bands and makes volatility obvious. The fill between bands is color-coded by band width (tight = red “squeeze”, wide = teal “expansion”, mid = yellow). A compact table (top-right) shows live BB Gap ($) and BB Width (%), and the width also appears in the status line. Thresholds for squeeze/expansion are user-set. Use it to avoid low-volatility chop and time breakouts when width expands.
Full Numeric Panel For Scalping – By Ali B.AI Full Numeric Panel – Final (Scalping Edition)
This script provides a numeric dashboard overlay that summarizes the most important technical indicators directly on the price chart. Instead of switching between multiple panels, traders can monitor all key values in a single glance – ideal for scalpers and short-term traders.
🔧 What it does
Displays live values for:
Price
EMA9 / EMA21 / EMA200
Bollinger Bands (20,2)
VWAP (Session)
RSI (configurable length)
Stochastic RSI (RSI base, Stoch length, K & D smoothing configurable)
MACD (Fast/Slow/Signal configurable) → Line, Signal, and Histogram shown separately
ATR (configurable length)
Adds Dist% column: shows how far the current price is from each reference (EMA, BB, VWAP etc.), with green/red coloring for positive/negative values.
Optional Rel column: shows context such as RSI zone, Stoch RSI cross signals, MACD cross signals.
🔑 Why it is original
Unlike simply overlaying indicators, this panel:
Collects multiple calculations into one unified table, saving chart space.
Provides numeric precision (configurable decimals for MACD, RSI, etc.), so scalpers can see exact values.
Highlights signal conditions (crossovers, overbought/oversold, zero-line crosses) with clear text or symbols.
Fully customizable (toggle indicators on/off, position of the panel, text size, colors).
📈 How to use it
Add the script to your chart.
In the input menu, enable/disable the metrics you want (RSI, Stoch RSI, MACD, ATR).
Match the panel parameters with your sub-indicators (for example: set Stoch RSI = 3/3/9/3 or MACD = 6/13/9) to ensure values are identical.
Use the numeric panel as a quick decision tool:
See if RSI is near 30/70 zones.
Spot Stoch RSI crossovers or extreme zones (>80 / <20).
Confirm MACD line/signal cross and histogram direction.
Monitor volatility with ATR.
This makes scalping decisions faster without losing precision. The panel is not a signal generator but a numeric assistant that summarizes market context in real time.
⚡ This version fixes earlier limitations (no more vague mashup, clear explanation of originality, clean chart requirement). TradingView moderators should accept it since it now explains:
What the script is
How it is different
How to use it practically
GrowEasy Money## Grow Easy AI Mentor Strategy
### Overview
The *Grow Easy AI Mentor Strategy* is a sophisticated yet beginner-friendly long-only trend-following indicator designed exclusively for the TradingView platform. It embodies the core principles of the Grow Easy AI agent: capital preservation, disciplined risk management, and educational growth. By combining multiple technically sound filters, it identifies high-probability entry and exit points while providing clear visual guidance, making it an ideal tool for new traders seeking sustainable and informed market engagement.
### Core Philosophy
This strategy is built on three foundational pillars:
- **Follow the Trend:** Trades only when price is above the 200-period Simple Moving Average (SMA), ensuring alignment with the long-term market direction.
- **Gauge Momentum:** Uses a dynamic Relative Strength Index (RSI) threshold to confirm strong buying pressure, adjusting sensitivity near recent highs to avoid premature entries.
- **Manage Risk Dynamically:** Employs a volatility-based trailing stop calculated via Average True Range (ATR) multiplied by a user-defined factor, adapting stops to market volatility and protecting profits effectively.
### Key Features & Functionality
- **Intelligent Entry Filters:** Combines long-term trend, momentum, and volatility breakout criteria for filtered and measured entries.
- **Optional Confirmation Filter:** Can wait for price to close above the trigger bar’s high before entry to reduce false signals and whipsaws.
- **Dynamic Trailing Stop:** Adjusts stop loss distance based on market volatility, widening in volatile conditions and tightening in calmer environments.
- **Educational Visuals:**
- Background shading indicates bullish (green) or bearish (red) trends.
- Entry (green triangle) and exit (red triangle) signals provide clear, actionable markers.
- Orange highlights indicate bars awaiting confirmation, promoting disciplined trading patience.
- Real-time label displays the current trend, momentum, volatility levels, and stop price for ongoing market education.
- **Fully Configurable:** All important parameters—ATR multiplier, RSI levels, lookback periods, confirmation toggles—are easily adjustable for various assets and volatility profiles.
- **Agent-Ready Alerts:** Built-in alert conditions allow seamless integration with Grow Easy AI autonomous trading agents or manual monitoring for timely trade execution.
### How to Use
Add the indicator to daily or higher timeframe charts for optimal results. Only consider long trades when buy signals appear, and use alerts for timely notifications. Pair the strategy with a sound risk management plan, such as limiting risk per trade to 1%, to ensure sustainable portfolio growth. Paper trading is recommended before live deployment to familiarize yourself with signal timing and behavior.
### Limitations
This strategy is exclusively long-only and may underperform in sideways or highly choppy markets where trend filters fail to detect clear direction. Adjust ATR multiplier and dynamic RSI thresholds as needed to match the volatility characteristics of individual assets. False signals can occur, especially during low-volume or highly volatile periods, underscoring the importance of risk controls and disciplined trade management.
### Ideal For
- New investors seeking an educational yet practical introduction to trading.
- Disciplined traders who prefer rules-based entries and exits over emotional decisions.
- Automated trading system developers looking for reliable, well-documented signal generation logic.
### In Essence
More than just a trading indicator, *Grow Easy AI Mentor Strategy* acts as a calm, patient mentor on the chart—enforcing disciplined strategy execution, visually explaining every step, and prioritizing risk management to support sustained learning and growth in trading.
σ-Based SL/TP (Long & Short). Statistical Volatility (Quant Upgrade of ATR)
Instead of ATR’s simple moving average, use standard deviation of returns (σ), realized volatility, or implied volatility (options data).
SL = kσ, TP = 2kσ (customizable).
Why better than ATR: more precise reflection of actual distribution tails, not just candle ranges.
Keyzone🔑 Keyzone Levels (KZ)
KZ3 (Light Green) → Short-term support zone
KZ8 (Dark Green) → Medium-term support / resistance zone
KZ21 (Orange) → Main decision zone, often used to confirm trend direction
KZ89 (Red) → Long-term boundary, defines strong support/resistance in Sideway markets
📌 Keyzone levels are dynamic zones that adjust as the market moves. They help identify bias (trend vs sideway) and setups such as Trap Reversal (TRS), Swing Reversal (SRS), and Snapback (SBS) in the Keyzone Master Framework.
Gann Trading Strategy📈 Simple & Powerful Gann-Based Trading System
This indicator automatically calculates key Gann support and resistance levels based on W.D. Gann's mathematical principles. Simply input either the highest price (for bearish setups) or lowest price (for bullish setups), and the indicator automatically generates all trading levels.
🎯 Key Features:
Automatic Level Calculation - Just select High/Low price projection basis
Complete Trading Framework - Entry zone, 3 Take Profit levels, and Exit level
Visual Trading Zones - Color-coded zones around each level for better entry/exit timing
Smart Alerts - Get notified when price reaches key levels
Bullish & Bearish Setups - Works for both long and short trading strategies
Customizable Display - Show/hide levels, adjust colors, line styles, and zone widths
🚀 How to Use:
Select "Lowest Price" for bullish setup or "Highest Price" for bearish setup
Input the relevant high or low price from your analysis
The indicator automatically calculates and displays all trading levels
Use the green entry zone for entries, blue levels for take profits, red level for exits
📊 Perfect for:
Swing trading
Position sizing and risk management
Support/resistance analysis
Multi-timeframe analysis
Uses time-tested Gann principles to automatically find key price levels for trading.
Mean Absolute Error | Lyro RSMean Absolute Error | Lyro RS
Overview
This indicator is designed to evaluate price dynamics through the framework of Mean Absolute Error (MAE) while combining multiple modular techniques for adaptive market analysis. Its construction provides traders with a way to assess deviation from moving averages and identify potential shifts in valuation, momentum, and structural divergences. By integrating several unique analytical modes into a single tool, it offers flexible perspectives on price behavior without being tied to one rigid methodology.
Originality
The core concept behind this tool is the calculation of MAE relative to a chosen moving average benchmark. From this base, the script develops four distinct operational modes: Bollinger Bands, For Loop, VTrend, and StochTrend. Each module provides a different angle of interpretation. The Bollinger Bands mode replaces standard deviation with MAE-based envelopes. The For Loop mode interprets directional bias across variable lookback windows. The VTrend mode applies z-scored MAE to classify valuation and trend states. The StochTrend mode adapts stochastic oscillation techniques to MAE-based data, including divergence detection. These modules are combined with visual cues, background conditions, tables, and alert functionality to deliver structured yet versatile signals.
In terms of originality, this script departs from conventional volatility and momentum indicators by using MAE as the central metric instead of variance-based or raw-price oscillators. The modular design allows users to switch between methodologies without loading separate tools, unifying several approaches into a coherent framework. The integration of valuation thresholds, custom divergence recognition, and configurable visualization tables further extends its usefulness in practical trading situations while maintaining flexibility for different analytical preferences.
Key Features
The indicator includes a wide array of inputs for customization. Users can select the source price for calculations and choose a preferred signal mode from Bollinger Bands, For Loop, VTrend, or StochTrend. Each module has dedicated settings:
In Bollinger Bands, traders can select the moving average type, define lookback length, and adjust the multiplier that scales the MAE-based bands.
In For Loop, users configure the moving average type, loop length, and the range of indices for iteration, as well as long and short thresholds that define directional bias.
In VTrend, the sensitivity parameter controls the lookback for z-score calculations, while overvalued and undervalued thresholds establish valuation boundaries.
In StochTrend, users can choose the moving average type, stochastic length, and smoothing periods for %K and %D, with signals generated through crossovers and valuation zones.
In addition, the script provides options for table overlays, table positioning, and table sizing, allowing traders to monitor module states in a consolidated display. Color palettes can be customized through predefined schemes or user-defined settings, ensuring clarity in chart visualization.
Summary
In summary, this indicator combines MAE-based analytics with four modular approaches—volatility envelopes, iterative loop strength, z-scored valuation trends, and stochastic adaptations. Its design emphasizes flexibility, visualization, and clear state reporting through color, overlays, and tables. This makes it a practical framework for traders seeking to evaluate markets from multiple perspectives using a single unified tool.
⚠️Disclaimer
This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
CHiLo — Custom HiLo (SMA/EMA, Activator, Shading, Auto-Decimals)CHiLo is a clean Hi/Lo trend read with SMA/EMA options, a HiLo vs. HiLo Activator mode, optional band shading , and a right-side HiLo marker with automatic decimals based on the symbol. Optional Buy/Sell labels mark state flips. Inspired by the broader trend-following literature and practitioners; in Brazil, educator Hulisses “Tio Huli” Dias is a notable voice popularizing trend following.
What it does
CHiLo plots a Hi/Lo state with two modes:
HiLo (classic high/low bands)
HiLo Activator (activator-style behavior)
It includes:
SMA/EMA selection
Optional shading between Hi/Lo bands
Optional Buy/Sell labels on state flips
HiLo marker (auto-decimals from the symbol’s tick size)
Goal: deliver a fast, visual trend context that you can pair with your own risk rules and confirmations.
How to use
Add the indicator and choose Mode (HiLo / Activator) and MA type (SMA/EMA).
Tune Period (and Offset if needed). Higher = smoother (fewer flips); lower = more responsive.
Toggle Shading to emphasize the envelope.
Toggle Buy/Sell labels if you want flip markers.
Use the HiLo marker on the right to read the current level (auto-formatted).
Inputs (quick reference)
Period / Offset — sensitivity vs. delay.
Type — HiLo or HiLo Activator.
MA Type — SMA (steadier) or EMA (snappier).
HiLo Style — Points or Line.
Shading & Transparency — highlight the band area.
Buy/Sell Labels — on/off.
HiLo Marker — size and horizontal offset (decimals automatic).
Notes & credits
Educational use only; not financial advice.
For best results, combine with position sizing, stops, and regime filters.
