Bollinger Bottom + Middle Lines with Inline TextThis script visualizes key Bollinger Band levels based on two different SMAs (20 & 50 periods), with clear labeling and a smart price table.
🔸 Features:
Draws lower and middle Bollinger Band lines for both SMA(20) and SMA(50)
Inline text at the end of each line instead of default labels (cleaner view)
A dynamic table in the top-right corner, sorted from highest to lowest level
Color-coded rows:
▪️ Orange → BB20 Mid & BB20 Lower
▪️ Green → BB50 Mid & BB50 Lower
Auto-updates each bar without cluttering the chart
✅ Ideal for identifying technical accumulation zones
✅ Suitable for investors using scaling-in strategies or mean-reversion logic
Jalur dan Saluran
Fixed First Candle Levels by TF with UTCFixed First Candle Levels by TF with UTC
This script draws High and Low levels of the first candle of each day based on a custom timeframe selected by the user (15m, 30m, 1h, 2h, 4h) and adjusted for the UTC offset.
Features:
✅ Automatically detects the first candle of the day for the selected timeframe
✅ Plots horizontal lines from the start of the day to the end of the day
✅ Highlights the actual candle’s range using a translucent background box
✅ Works across all chart timeframes
✅ Ideal for identifying potential support/resistance zones based on early market structure
You can customize:
Target timeframe (independent from current chart TF)
UTC offset
Useful for intraday traders, breakout strategies, and pre-market planning.
📊 Stock Info + Support/ResistanceThis strategy was developed with the goal of identifying potential entry and exit zones for trading stocks and ETFs, using a swing trading approach based on multi-timeframe demand and supply zone detection.
The script tracks trends and identifies critical movement zones using the ADR (Average Daily Range) indicator across three timeframes: daily, weekly, and monthly, calculating them according to the opening range.
In addition, the script integrates the RSI indicator to assess overbought/oversold conditions. Signals are only generated when an extreme RSI level (below 30 or above 70) coincides with the price entering a demand or supply zone across all three timeframes.
The output includes only graphic arrows on the chart at entry and exit points, with no visual clutter or unnecessary indicators.
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How to Use:
Suitable for swing trading, not for intraday scalping.
Apply to a clean chart.
Can be combined with external indicators such as support/resistance detection (e.g., SRMTF) — though this is optional.
This script does not constitute investment advice and is intended for monitoring purposes only.
SY_Quant_AI_Trend.2.0✅ English Description (Safe Minimal Version)
SY_Quant_AI_Trend 2.0 — Multi-Factor Trend Analysis Toolkit
This indicator combines trend detection, structure recognition, and visual overlays to assist traders in analyzing market dynamics.
It integrates common techniques in a simplified form for research and chart-based strategy development.
TeeLek-HedgingLineIf we are DCA some assets and it happens to be in a downtrend, sitting and waiting is the best way, but it is not easy to do. There are other ways that allow us to buy DCA and keep collecting more. While the market is falling, don't be depressed. The more you buy, the more it drops. Should you continue buying? Plus, if it goes back to an uptrend, you will also get extra profit. Let's go check it out.
ถ้าเรา DCA ทรัพย์สินอะไรซักอย่างนึงอยู่ แล้วมันดันเป็นขาลงพอดี จะนั่งรอเฉยๆ เป็นวิธีที่ดีที่สุด แต่ไม่ได้ทำกันได้ง่ายๆ นะ ยังมีวิธีอื่นอีก ที่ให้เราสามารถ ซื้อ DCA เก็บของเพิ่มได้เรื่อยๆ ระหว่างที่ตลาดร่วง ไม่จิตตก ยิ่งซื้อ ยิ่งลง จะซื้อต่อดีไหม? แถมถ้า กลับมาเป็นขาขึ้น ยังมีกำไรแถมให้ด้วยนะ ไปหาดูกัน
Tekpor Smart Supply & Demand ZonesThe Tekpor Smart Supply & Demand Zones indicator automatically identifies and visualizes key institutional levels where price has previously reacted — giving traders a powerful edge when spotting high-probability trade zones.
🔍 What It Does:
• Detects supply zones when price forms swing highs and closes bearish
• Detects demand zones when price forms swing lows and closes bullish
• Draws smart zones as shaded rectangles for easy visualization
• Automatically removes zones that are invalidated (price breaks above supply or below demand)
• Fully adjustable swing sensitivity and look-back range
⚙️ Key Features:
• Minimal lag, designed for real-time execution
• Clean chart display with custom colors and extendable zones
• Compatible with any timeframe and instrument (FX, crypto, indices, etc.)
• Perfect for price action, breakout, and reversal traders
🕵️♂️ Great for:
• Scalping or swing trading
• Enhancing entry/exit precision
• Combining with trend or volume filters
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Built to help you trade like the pros — with no guesswork, no redrawing, and no noise.
💡 Tip: Use with confluence tools like EMA, volume, or structure breaks for best results.
Happy trading!
– TekporEdge 🚀
Adam Mancini ES Game Plan LevelsThis script plot support and resistance levels. It also allows to input text for each level. The format needs to be levels separated by a comma. If you want to input text then use : after level.
6285 (major), 6277, 6272-69 (major): Unique Text Display, 6260
I am using this to display Adam Mancini Levels for emini Futures.
AI Smart Liquidity Signal Gold 🚀AI Smart Liquidity Signal Gold
Description:
This indicator is a technical analysis tool designed to identify potential trading opportunities by detecting breakouts of pivot-based trendlines and confirming these events with a comprehensive, multi-layered filtering system. This document provides a detailed, transparent explanation of the underlying logic and calculations.
1. Core Concept: Pivot-Based Liquidity Trendlines
The primary signal of this indicator is generated from what we term "Liquidity Trendlines." This is a custom method for identifying potential momentum shifts.
How It Works:
The script first identifies significant swing points in the price using the ta.pivothigh() and ta.pivotlow() functions. The lookback period for these pivots is user-configurable.
It then connects consecutive pivot points (e.g., two pivot highs or two pivot lows) to draw a trendline. This line represents a dynamic boundary of recent price action.
A "Liquidity Breakout" signal is generated when the price closes decisively across this trendline. For example, a liquidity _ pulp (buy signal) occurs when the price closes above a downward-sloping trendline connecting two pivot highs. This breakout is the foundational event for a potential trade setup.
2. The Signal Confirmation Process: A Multi-Layered Filtering System
A raw Liquidity Breakout signal is only the starting point. To enhance reliability and reduce false positives, the signal must pass through a series of user-enabled filters. A final Buy or Sell signal is only plotted on the chart if all active filter conditions are met simultaneously.
Here is a breakdown of each filter's specific logic:
General Trend Filter: This filter uses a sequence of moving averages (50, 100, and 200-period EMAs) to define the long-term market trend.
Buy Condition: close > 50 EMA, 50 EMA > 100 EMA, and 100 EMA > 200 EMA. The slope of the 50 EMA must also be positive.
Sell Condition: The inverse of the buy condition.
Smart Trend Filter: This provides a shorter-term view of the trend by combining signals from EMA slope, DMI (ADX), and market structure. A score is calculated, and the trend is considered "UP" or "DOWN" if at least two of the three conditions are met.
RSI Filter: The Relative Strength Index (RSI) is used to filter signals based on momentum.
Buy Condition: The RSI must be rising (rsi > rsi ) and below the user-defined oversold level (e.g., 30).
Sell Condition: The RSI must be falling (rsi < rsi ) and above the user-defined overbought level (e.g., 70).
MACD Filter: The Moving Average Convergence Divergence confirms momentum.
Buy Condition: The MACD line must be above the Signal line.
Sell Condition: The MACD line must be below the Signal line.
ATR (Volatility) Filter: This filter ensures that trades are only taken when market volatility is sufficient. It calculates the ATR as a percentage of the closing price and checks if it is above a user-defined threshold (e.g., 0.03%).
Support & Resistance (S&R) Filter: The indicator identifies the highest high and lowest low over a lookback period to create dynamic S&R zones.
Logic: It blocks buy signals that form too close to a resistance zone and sell signals that form too close to a support zone, preventing trades into immediate barriers.
Higher Timeframe (HTF) Filter: This powerful feature provides confluence by checking the General Trend condition on higher timeframes (e.g., 30m, 1H, 4H). A buy signal on the current chart will only be valid if the trend on the selected higher timeframes is also "UP".
3. Integrated Risk Management: TP/SL Calculations
The indicator automatically calculates Take Profit (TP) and Stop Loss (SL) levels for every valid signal based on the Average True Range (ATR), adapting to current market volatility.
Calculation Method:
Stop Loss (SL): Entry Price ± (ATR * SL_Multiplier)
Take Profit (TP): Entry Price ± (ATR * TP_Multiplier)
The multipliers for SL and the three TP levels (TP1, TP2, TP3) are fully customizable by the user.
4. Additional Features
Multi-Timeframe (MTF) Scanner: A dashboard that monitors and displays the final Buy/Sell signal status across multiple timeframes simultaneously.
Session Filter: Allows traders to restrict signals to specific market sessions (Asian, London, New York).
Customizable Alerts: Alerts can be configured for any final Buy/Sell signal, allowing users to stay informed without constant chart monitoring.
By combining pivot-based breakout detection with this rigorous, step-by-step confirmation process, the "AI Smart Liquidity Signal" aims to provide a structured and logical approach to identifying trading opportunities.
RSI with Background Colorhis script implements a trading strategy based on an EMA (Exponential Moving Average) crossover, confirmed by the RSI (Relative Strength Index), and includes a built-in stop-loss and take-profit.
LEOLA LENS FOOTPRINTLeola Lens Footprint is a closed-source, invite-only overlay tool built to track and visualize historical support and resistance levels where price has previously shown clear reactions.
Unlike predictive models or indicator-based tools, Footprint focuses solely on market memory — highlighting zones where actual buying/selling interest occurred in the past and continues to influence price behavior in the present.
🔍 What It Does:
Plots validated zones based on historical reactions — not assumptions
Displays support/resistance layers that have caused rejections, consolidations, or breakouts
Works in all markets (crypto, stocks, forex, commodities) and all timeframes
Color Markers:
🟣 Purple zones → Historical price memory zones with frequent rejections
🟤 Brown zones → Most recent rejection clusters (fresh supply/demand levels)
🟡 Yellow lines → Significant levels that often act as decision points
📊 Best For:
Traders who trade reactions at proven levels, not speculative predictions
Scalpers and swing traders looking for clean retest and rejection entries
Traders who want a consistent visual of historical support/resistance behavior
⚠️ Technical Notes:
This tool uses original logic and does not rely on indicators like RSI, MACD, MA, or volume
No future projection — levels are drawn only after confirmed reactions
Built to work in both trend and range markets
VWAP with Prev. Session BandsVWAP with Prev. Session Bands is an advanced indicator based on TradingView’s original VWAP. It adds configurable standard deviation or percentage-based bands, both for the current and previous session. You can anchor the VWAP to various timeframes or events (like Sessions, Weeks, Months, Earnings, etc.) and selectively show up to three bands.
The unique feature of this script is the ability to display the VWAP and bands from the previous session, helping traders visualize mean reversion levels or historical volatility ranges.
Built on top of the official TradingView VWAP implementation, this version provides enhanced flexibility and visual clarity for intraday and swing traders alike.
QUANTRO Take_1This is a custom invite-only indicator designed to help users identify unique market conditions and potential opportunities.
The script provides visual signals on the chart when certain criteria are met, allowing for more informed decision-making.
It is suitable for both discretionary and systematic trading approaches.
Key Features:
- Visual signals for special market conditions
- Adjustable parameters for user customization
- Alert-ready: can be used with TradingView’s alert system for notifications or webhook automation
Note:
- The exact calculation logic and signal criteria are proprietary and not disclosed.
- This indicator is for informational and research purposes only.
It does not constitute investment advice or a recommendation to buy or sell any financial instrument.
- Use at your own discretion and risk.
For access or further information, please contact the author.
RAA Buy Sell[RanaAlgo]Overview
The RAA (RanaAlgo Adaptive Average) Buy Sell indicator is a trend-following tool that helps identify potential buy and sell signals based on price deviation from an adaptive moving average. It uses a combination of:
(Fractal Adaptive Moving Average) – Adjusts its sensitivity based on market volatility.
RAA Bands – Dynamic upper/lower bands calculated using a multiplier applied to the average deviation.
🔹 Key Features
Trend Identification
Bullish Trend →
Bearish Trend →
Signal Generation
Visual Enhancements
Colored candles (green for bullish, red for bearish).
Dynamic bands to visualize trend strength.
Alerts
Customizable buy/sell alerts for real-time notifications.
🔹 Usefulness in Trading
✅ Trend Confirmation – Helps confirm trend direction before entering trades.
✅ Reduces False Signals – Uses adaptive bands to filter out noise.
✅ Works Across Timeframes – Effective on intraday, swing, and long-term trading.
✅ Customizable – Adjustable length and multiplier for different market conditions.
🔹 Best Used For
Trend-following strategies (riding strong trends).
Breakout trading (entering when price confirms momentum).
Avoiding choppy markets (since the adaptive bands widen in volatility).
Macro S&D BetaMacro S&D Suite: Part 2 of 4 — Macro S&D Beta Overview
Introduction to Macro S&D Beta
Macro S&D Beta focuses on identifying lower‑timeframe supply and demand zones derived from 30‑minute, 15‑minute, and 5‑minute charts. It provides tactical precision for intraday and swing traders by mapping micro support and resistance levels within the broader Alpha structure.
How Macro S&D Beta Works
Pivot Zone Refinement: Segments higher‑timeframe pivots into finer zones that align with shorter‑term market swings.
Volatility & Structure Filters: Applies recent volatility metrics to validate only zones with significant trading activity.
Internal Pivot Layers: Calculates secondary pivot points within each Beta zone to draw micro‑levels where momentum shifts often occur.
Dynamic Recalculation: Zones update automatically as new intraday pivots form, ensuring real‑time tactical relevance.
These refined zones help you pinpoint entries and exits on lower‑timeframe charts.
Applying Macro S&D Beta
Select a Lower‑Timeframe Chart: Add Beta on a 30‑minute chart to view your primary tactical zones.
Observe Reactions: Look for clear price bounces or rejections at zone boundaries—these areas often mark high‑probability trade opportunities.
Drill Down Further: Switch to 15‑ and 5‑minute timeframes to refine entry and exit levels within each Beta zone.
Combine with Momentum Tools: Use TTM signals (squeeze on/off and histogram shifts) to confirm timing at Beta pivots.
Execute & Manage: Enter on a clean reversal signal at the zone edge, set stops just outside, and target higher‑timeframe Alpha zones or subsequent Beta layers.
Advantages of Macro S&D Beta
Tactical Estimates: Provides micro‑zone definitions for tighter risk control and faster entries.
Seamless Alpha Integration: Complements Part 1 by filling in the tactical gaps within broad structural zones.
Noise Reduction: Filters out low‑volume swings to minimise false signals in choppy markets.
Real‑Time Adaptation: Automatically recalculates with each new intraday pivot, keeping you in sync with evolving price action.
3D Surface Modeling [PhenLabs]📊 3D Surface Modeling
Version: PineScript™ v6
📌 Description
The 3D Surface Modeling indicator revolutionizes technical analysis by generating three-dimensional visualizations of multiple technical indicators across various timeframes. This advanced analytical tool processes and renders complex indicator data through a sophisticated matrix-based calculation system, creating an intuitive 3D surface representation of market dynamics.
The indicator employs array-based computations to simultaneously analyze multiple instances of selected technical indicators, mapping their behavior patterns across different temporal dimensions. This unique approach enables traders to identify complex market patterns and relationships that may be invisible in traditional 2D charts.
🚀 Points of Innovation
Matrix-Based Computation Engine: Processes up to 500 concurrent indicator calculations in real-time
Dynamic 3D Rendering System: Creates depth perception through sophisticated line arrays and color gradients
Multi-Indicator Integration: Seamlessly combines VWAP, Hurst, RSI, Stochastic, CCI, MFI, and Fractal Dimension analyses
Adaptive Scaling Algorithm: Automatically adjusts visualization parameters based on indicator type and market conditions
🔧 Core Components
Indicator Processing Module: Handles real-time calculation of multiple technical indicators using array-based mathematics
3D Visualization Engine: Converts indicator data into three-dimensional surfaces using line arrays and color mapping
Dynamic Scaling System: Implements custom normalization algorithms for different indicator types
Color Gradient Generator: Creates depth perception through programmatic color transitions
🔥 Key Features
Multi-Indicator Support: Comprehensive analysis across seven different technical indicators
Customizable Visualization: User-defined color schemes and line width parameters
Real-time Processing: Continuous calculation and rendering of 3D surfaces
Cross-Timeframe Analysis: Simultaneous visualization of indicator behavior across multiple periods
🎨 Visualization
Surface Plot: Three-dimensional representation using up to 500 lines with dynamic color gradients
Depth Indicators: Color intensity variations showing indicator value magnitude
Pattern Recognition: Visual identification of market structures across multiple timeframes
📖 Usage Guidelines
Indicator Selection
Type: VWAP, Hurst, RSI, Stochastic, CCI, MFI, Fractal Dimension
Default: VWAP
Starting Length: Minimum 5 periods
Default: 10
Step Size: Interval between calculations
Range: 1-10
Visualization Parameters
Color Scheme: Green, Red, Blue options
Line Width: 1-5 pixels
Surface Resolution: Up to 500 lines
✅ Best Use Cases
Multi-timeframe market analysis
Pattern recognition across different technical indicators
Trend strength assessment through 3D visualization
Market behavior study across multiple periods
⚠️ Limitations
High computational resource requirements
Maximum 500 line restriction
Requires substantial historical data
Complex visualization learning curve
🔬 How It Works
1. Data Processing:
Calculates selected indicator values across multiple timeframes
Stores results in multi-dimensional arrays
Applies custom scaling algorithms
2. Visualization Generation:
Creates line arrays for 3D surface representation
Applies color gradients based on value magnitude
Renders real-time updates to surface plot
3. Display Integration:
Synchronizes with chart timeframe
Updates surface plot dynamically
Maintains visual consistency across updates
🌟 Credits:
Inspired by LonesomeTheBlue (modified for multiple indicator types with scaling fixes and additional unique mappings)
💡 Note:
Optimal performance requires sufficient computing resources and historical data. Users should start with default settings and gradually adjust parameters based on their analysis requirements and system capabilities.
M2 Lag ChannelModel Overview:
This model is designed to explore the relationship between M2 liquidity and Bitcoin. It enables you to adjust the lag period to observe how changes in M2 may correlate with Bitcoin’s price action over time. The correlation is visualised within a channel based on standard deviations, helping to highlight deviations from the norm.
Important Disclaimer:
The default settings are only a starting point and should not be relied upon exclusively. The correlation between M2 liquidity and Bitcoin can shift over time, and there are periods when the two become completely uncorrelated. Past performance does not guarantee future results.
This tool is provided strictly for research and educational purposes. It is not intended as financial advice. Do not base trading decisions solely on this model.
Dual Donchian Channels + Death CrossDual Donchain Channels with a 50/200 day angel/death cross indicator built in. Intended to be used on the daily time frame.
ROP Keltner Channel (MetaTrader)This is a proprietary custom indicator developed through extensive research and analysis. Users are strongly advised to exercise prudent judgment and conduct thorough due diligence before implementation. All trading decisions made utilizing this indicator are undertaken entirely at the user's own risk and discretion. The author assumes no responsibility for any financial outcomes, losses, or consequences resulting from the application of this analytical tool.
Support/Resistance LevelsSupport Lines (Green)
Created when price closes below the low of an upclose candle (close > open)
Removed when price closes above the support line
Resistance Lines (Red)
Created when price closes above the high of a downclose candle (close < open)
Removed when price closes below the resistance line
Key Features
Configurable maximum number of lines to keep
Adjustable line width
Only uses confirmed candles (barstate.isconfirmed)
Lines extend to the right edge of the chart
Efficient memory management with array cleanup
Visual Appearance
Support lines: Green solid lines
Resistance lines: Red solid lines
Lines remain until broken by price action
Bandas de Bollinger con Shading 20% de WilliamsJMDBandas de Bollinger al 20% simple útil para operar con acciones.
Linear Regression Channel – shiftableThis is the built-in Linear Regression Channel with an extra parameter to shift it back N days.
ZYTX CCI SuperTrendZYTX CCI SuperTrend
The definitive integration of CCI and SuperTrend trend-following indicators, delivering exemplary performance in automated trading bots.
