EMA-Pack MTFEMA-Pack MTF
This TradingView Pine Script defines a custom indicator called "EMA-Pack MTF" that overlays various types of moving averages and Bollinger Bands across multiple timeframes on a chart. It begins by importing the built-in technical analysis library and defining a custom ma function that calculates several types of moving averages (SMA, EMA, TEMA, DEMA, HMA, and ALMA) based on user input. The ema function is the core logic, retrieving market data for the specified timeframe and calculating fast, mid, slow, 50, 100, and 200-period moving averages along with Bollinger Band components (basis, upper, and lower bands). The function adjusts values to the nearest valid price tick and returns them.
User input fields allow customization of timeframes, source data, moving average types, and Bollinger Band parameters. The script calls the ema function for each selected timeframe (1 minute, 5 minutes, 15 minutes, 1 hour, 4 hours, and 1 day), storing their respective computed values. It then plots the calculated moving averages and Bollinger Band basis lines on the chart, using different colors and line widths to distinguish between them. Some plots are hidden by default (display.none) to reduce chart clutter. This script is useful for multi-timeframe trend analysis using customizable moving averages and Bollinger Bands.
Multitimeframe
Super Neema!🟧 Super Neema! — Multi-Timeframe EMA-9 Overlay
🔍 What is "Neema"?
The term "Neema" has recently emerged among traders such as Jeff Holden—a top proprietary trading firm trader—whose colleagues colloquially use "Neema" as shorthand for the 9-period Exponential Moving Average (EMA). Due to its increasing popularity and reliability, the phrase caught on quickly as traders needed a quick, memorable name for such an essential tool.
📚 Why the 9-EMA?
Scalping around the 9-EMA is now one of the most widely used intraday trading techniques. Traders of various experience levels frequently rely on it because it effectively highlights short-term momentum shifts.
But there's a crucial nuance: traders across different assets or market periods don't always agree on which timeframe’s 9-EMA to follow. Depending on who's currently active in the market, the dominant "Neema" could be the 1-minute, 2-minute, 3-minute, or 5-minute 9-EMA. This variation arises naturally due to differences in trader populations, risk tolerance, style, and current market conditions.
👥 Social Convention & Normative Social Influence
Trading is fundamentally a social activity, and normative social influence plays a critical role in market behavior. Traders don’t operate in isolation; they follow patterns, respond to cues, and rely on shared conventions. The popularity of any given indicator—like the 9-EMA—is not just technical, but deeply social. Traders adapt to what's socially accepted, recognizable, and effective.
Over time, these conventions shift. What once was "the standard" timeframe can subtly evolve as dominant traders or institutions shift their preferred style or timeframe, creating "variants" of established trends. Understanding this dynamic is essential for market participants because recognizing where the majority of traders currently focus gives a critical edge.
📈 Why Does This Matter? (Market Evolution & Trader Adaptability)
Market trends aren't just technical—they're social constructs. As markets evolve, participants adapt their methods to fit new norms. Traders who recognize and adapt quickly to these evolving norms gain a decisive advantage.
By clearly visualizing multiple Neemas (9-EMAs across timeframes) simultaneously, you don't merely see EMA levels—you visually sense the current social convention of the market. This heightened awareness helps you stay adaptive and flexible, aligning your strategy dynamically with the broader community of traders.
🎨 Transparency Scheme (Visual Identification):
5-minute Neema: Most opaque, brightest line (slowest, most significant trend)
3-minute Neema: Slightly more transparent
2-minute Neema: Even more transparent
1-minute Neema: Most transparent, subtle background hint (fastest, quickest reaction)
This deliberate visual hierarchy makes it intuitive to identify immediately which timeframe is currently dominant, and therefore, which timeframe other traders are using most actively.
✅ Works on:
Any timeframe, any chart. Automatically plots the 1m–5m EMA-9 lines regardless of your current chart.
🧠 Key Insight:
Markets are driven by social trends and normative influence.
Identifying the currently dominant timeframe (the Neema most respected by traders at that moment) is a powerful, socially-informed edge.
Trader adaptability isn't just technical—it's social awareness in action.
Enjoy your trading, and welcome to Super Neema! ⚡
Multy Dynamic POCThis script displays up to 4 independent Point of Control (POC) levels based on volume profile logic.
📌 Each POC can be configured individually:
Period options: Daily (D), Weekly (W), Monthly (M), or BARS (rolling bar window).
Dynamic recalculation when the period changes (e.g., new day/week/month or custom bar count).
Price-anchored lines for each POC level that scale correctly with the chart.
Customizable line color and thickness.
🔍 How it works:
For each active POC line, the script builds a simple volume distribution based on the candle’s average price (hl2) and volume.
The price range is split into 100 buckets. The one with the highest accumulated volume is selected as the Point of Control (POC).
In BARS mode, POC is recalculated every N bars. In D/W/M modes, it resets exactly at the beginning of a new period (according to TradingView’s time() function).
✅ Useful for:
Traders applying volume profile analysis without needing the full built-in volume profile tool.
Spotting dynamic high-volume zones in trends or ranges.
Strategy development or confirmation around high-interest price levels.
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Данный индикатор отображает до 4 независимых уровней Point of Control (POC), рассчитанных по объёмам.
📌 Каждый POC можно настраивать отдельно:
Периоды: День (D), Неделя (W), Месяц (M) или BARS (скользящее окно по количеству баров).
Автоматический пересчёт при смене периода (например, новый день, неделя или месяц).
Линии POC привязаны к цене и масштабируются вместе с графиком.
Настраиваемый цвет и толщина линий.
🔍 Как работает:
Для каждой активной линии POC создаётся объёмное распределение: берется средняя цена свечи (hl2) и объем.
Диапазон цен делится на 100 уровней. Тот, где накоплено больше всего объёма, и есть POC.
В режиме BARS уровень пересчитывается каждые N баров. В режимах D/W/M — строго в начале нового периода.
✅ Подходит для:
Трейдеров, использующих объёмный анализ, но не имеющих платной подписки на Volume Profile.
Поиска уровней интереса и подтверждения сигналов.
Разработки стратегий с опорой на объём.
MA Crossover Strategy with TP/SL (5 EMA Filter)How the Strategy Works on a 5-Minute Chart:
Data Input (5-Minute Candles):
Every single data point (candle) on your chart will represent 5 minutes of price action (Open, High, Low, Close for that 5-minute period).
All calculations (MAs, EMA, signals) will be based on these 5-minute price data points.
Moving Average Calculations:
Fast MA (10-period SMA): This will be the Simple Moving Average of the closing prices of the last 10 five-minute candles. It reacts relatively quickly to recent price changes.
Slow MA (30-period SMA): This will be the Simple Moving Average of the closing prices of the last 30 five-minute candles. It represents a slightly longer-term trend compared to the Fast MA.
5 EMA (5-period EMA): This is the Exponential Moving Average of the closing prices of the last 5 five-minute candles. Being an EMA, it gives more weight to the most recent 5-minute prices, making it very responsive to immediate price action.
Signal Generation (Entry Conditions):
Long Entry Signal:
The 10-period SMA crosses above the 30-period SMA (indicating a potential bullish shift in the short-to-medium term trend).
AND the current 5-minute candle's closing price is above the 5-period EMA (confirming that the immediate price momentum is also bullish and supporting the crossover).
If both conditions are met at the close of a 5-minute candle, a "Buy" signal is generated.
Short Entry Signal:
The 10-period SMA crosses below the 30-period SMA (indicating a potential bearish shift).
AND the current 5-minute candle's closing price is below the 5-period EMA (confirming immediate bearish momentum).
If both conditions are met at the close of a 5-minute candle, a "Sell" signal is generated.
Trade Execution:
When a signal is triggered, the strategy enters a trade (long or short) at the closing price of that 5-minute candle.
Immediately upon entry, it places two contingent orders:
Take Profit (Target): Set at 2% (by default) away from your entry price. For a long trade, it's 2% above; for a short trade, 2% below.
Stop Loss: Set at 1% (by default) away from your entry price. For a long trade, it's 1% below; for a short trade, 1% above.
The trade will remain open until either the Take Profit or Stop Loss price is hit by subsequent 5-minute candles.
Implications for Trading on a 5-Minute Chart:
Increased Trade Frequency: You will likely see many more signals and trades compared to higher timeframes (like 1-hour or daily charts). This means more potential opportunities but also more transaction costs (commissions, slippage).
Sensitivity to Noise: Lower timeframes are more prone to "market noise" – small, random price fluctuations that don't indicate a true trend. While the 5 EMA filter helps, some false signals might still occur.
Faster Price Action: Price movements can be very rapid on a 5-minute chart. Your take profit or stop loss levels might be hit very quickly, sometimes within the same or next few candles.
Parameter Optimization is Crucial: The default MA lengths (10, 30) and EMA (5) might not be optimal for every asset or market condition on a 5-minute chart. You'll need to backtest extensively and potentially adjust these lengths, as well as the targetPerc and stopPerc, to find what works best for the specific instrument you're trading.
Risk Management: The fixed percentage stop loss is vital on a 5-minute chart due to its volatility. Without it, a few unfavorable moves could lead to significant losses.
Multi SMA AnalyzerMulti SMA Analyzer with Custom SMA Table & Advanced Session Logic
A feature-rich SMA analysis suite for traders, offering up to 7 configurable SMAs, in-depth trend detection, real-time table, and true session-aware calculations.
Ideal for those who want to combine intraday, swing, and higher-timeframe trend analysis with maximum chart flexibility.
Key Features
📊 Multi-SMA Overlay
- 7 SMAs (default: 5, 20, 50, 100, 200, 21, 34)—individually configurable (period, source, color, line style)
- Show/hide each SMA, custom line style (solid, stepline, circles), and color logic
- Dynamic color: full opacity above SMA, reduced when below
⏰ Session-Aware SMAs
- Each SMA can be calculated using only user-defined session hours/days/timezone
- “Ignore extended hours” option for accurate intraday trend
📋 Smart Data Table
- Live SMA values, % distance from price, and directional arrows (↑/↓/→)
- Bull/Bear/Sideways trend classification
- Custom table position, size, colors, transparency
- Table can run on chart or custom (higher) timeframe for multi-TF analysis
🎯 Golden/Death Cross Detection
- Flexible crossover engine: select any two from (5, 10, 20, 50, 100, 200) for fast/slow SMA cross signals
- Plots icons (★ Golden, 💀 Death), optional crossover labels with custom size/colors
🏷️ SMA Labels
- Optional on-chart SMA period labels
- Custom placement (above/below/on line), size, color, offset
🚨 Signal & Trend Engine
- Bull/Bear/Sideways logic: price vs. multiple SMAs (not just one pair)
- Volume spike detection (2x 20-period SMA)
- Bullish engulfing candlestick detection
- All signals can use chart or custom table timeframe
🎨 Visual Customization
- Dynamic background color (Bull: green, Bear: red, Neutral: gray)
- Every visual aspect is customizable: label/table colors, transparency, size, position
🔔 Built-in Alerts
- Crossovers (SMA20/50, Golden/Death)
- Bull trend, volume spikes, engulfing pattern—all alert-ready
How It Works
- Session Filtering:
- SMAs can be set to count only bars from your chosen market session, for true intraday/trading-hour signals
Dynamic Table & Signals:
- Table and all signal logic run on your selected chart or custom timeframe
Flexible Crossover:
- Choose any pair (5, 10, 20, 50, 100, 200) for cross detection—SMA 10 is available for crossover even if not shown as an SMA line
Everything is modular:
- Toggle features, set visuals, and alerts to your workflow
🚨 How to Use Alerts
- All key signals (crossovers, trend shifts, volume spikes, engulfing patterns) are available as alert conditions.
To enable:
- Click the “Alerts” (clock) icon at the top of TradingView.
- Select your desired signal (e.g., “Golden Cross”) from the condition dropdown.
- Set your alert preferences and create the alert.
- Now, you’ll get notified automatically whenever a signal occurs!
Perfect For
- Multi-timeframe and swing traders seeking higher timeframe SMA confirmation
- Intraday traders who want to ignore pre/post-market data
- Anyone wanting a modern, powerful, fully customizable multi-SMA overlay
// P.S: Experiment with Golden Cross where Fast SMA is 5 and Slow SMA is 20.
// Set custom timeframe for 4 hr while monitoring your chart on 15 min time frame.
// Enable Background Color and Use Table Timeframe for Background.
// Uncheck Pine labels in Style tab.
Clean, open-source, and loaded with pro features—enjoy!
Like, share, and let me know if you'd like any new features added.
Session Visualizer by Timezone (Fixed)Session Visualizer by Timezone (Asia, London, New York)
This indicator highlights the Asian, London, and New York trading sessions directly on your chart — adjusted to your local timezone (via UTC offset).
🔧 Key Features:
Session times automatically adjust based on your chosen UTC offset
Toggle each session on/off individually
Custom background colors for each session
Designed for all intraday timeframes (1m – 4H)
📍 Sessions Covered:
Asian Session – Generally lower volatility and slower price movement; ideal for range traders and pre-positioning
London Session – Marked increase in volatility as European markets open
New York Session – Highest volume and volatility, especially during the London-New York overlap
🕓 Time Offset Setting:
Input your local UTC offset (e.g., UTC+10 for Sydney, UTC+1 for Berlin, UTC-5 for New York). The indicator adjusts session display accordingly.
The Essa System V1.5The Essa System V1.5
Overview
The Essa System is a comprehensive trading strategy and backtesting tool designed for traders who use market structure and Fibonacci retracements. It automatically identifies significant trading ranges, calculates key retracement levels, and then backtests a complete trading strategy based on entries at these levels.
This is more than just an indicator; it's a full suite of analytical tools designed to help you develop, test, and analyze a complete trading plan directly on your chart.
How It Works
The system's logic is based on a classic price action concept:
Range Detection: First, it automatically identifies a significant trading range by finding the highest high and lowest low based on pivot points over a user-defined lookback period.
Fibonacci Analysis: Once the range direction (bullish or bearish) is established, the script calculates and displays key Fibonacci retracement levels (50%, 61.8%, 70.5%, and 78.6%).
Trade Execution: The system then looks for historical and live trading opportunities, entering a trade when the price pulls back to one of the enabled Fibonacci levels. All trades are managed with a predefined Stop Loss and Take Profit in pips.
Key Features
Automatic Range & Fibonacci Analysis: Automatically draws the primary trading range and key Fib levels, updating as market structure evolves.
Historical Backtesting: Plots all historical trade entries based on the strategy rules, allowing for a complete performance review over the chosen chart history.
Detailed Trade Visuals: Displays active trades on the chart with clear lines and boxes for entry, stop loss, and take profit zones.
Advanced Session Filtering: Allows you to isolate trades to specific market sessions (London, New York, Asia) with timezone support and daily trade limits.
Built-in Risk Management: A cornerstone of the system. It automatically calculates the required position size for each trade based on your specified Account Size, Risk Percentage, and Stop Loss.
Comprehensive Performance Tables: The script includes two powerful analytical tables:
Trade Helper Table: Shows the status of live or potential upcoming trades, including entry/SL/TP prices and the calculated position size.
History Table: Logs all recent trades and calculates key statistics like Profit Factor, Win Rate, and the overall PnL impact on your account balance.
Customizable Strategy: Fine-tune every aspect of the strategy with inputs for the lookback period, SL/TP in pips, which Fib levels are tradable, and a cooldown timer to prevent over-trading.
How to Use
Add the indicator to your chart.
Navigate to the settings and, under "Account Settings," configure your Account Size and Risk Per Trade (%). This is essential for the PnL and position sizing calculations to be meaningful.
Under "Session Filter Settings," adjust the sessions you wish to trade.
Analyze the historical trades and the performance tables to understand the strategy's behaviour on your chosen asset and timeframe.
Disclaimer: This is a tool for strategy analysis and backtesting. It is not financial advice. Past performance is not indicative of future results. Always use proper risk management.
Range Bar Gaps DetectorRange Bar Gaps Detector
Overview
The Range Bar Gaps Detector identifies price gaps across multiple range bar sizes (12, 24, 60, and 120) on any trading instrument, helping traders spot potential support/resistance zones or breakout opportunities. Designed for Pine Script v6, this indicator detects gaps on range bars and exports data for use in companion scripts like Range Bar Gaps Overlap, making it ideal for multi-timeframe gap analysis.
Key Features
Multi-Range Gap Detection: Identifies gaps on 12, 24, 60, and 120-range bars, capturing both bullish (gap up) and bearish (gap down) price movements.
Customizable Sensitivity: Includes a user-defined minimum deviation (default: 10% of 14-period SMA) for 12-range gaps to filter out noise.
7-Day Lookback: Automatically prunes gaps older than 7 days to focus on recent, relevant price levels.
Data Export: Serializes up to 10 gaps per range (tops, bottoms, start bars, highest/lowest prices, and age) for seamless integration with overlap analysis scripts.
Debugging Support: Plots gap counts and aggregation data in the Data Window for easy verification of detected gaps.
How It Works
The indicator aggregates price movements to simulate higher range bars (24, 60, 120) from a base range bar chart. It detects gaps when the price jumps significantly between bars, ensuring gaps meet the minimum deviation threshold for 12-range bars. Gaps are stored in arrays, serialized for external use, and pruned after 7 days to maintain efficiency.
Usage
Add to your range bar chart (e.g., 12-range) to detect gaps across multiple ranges.
Use alongside the Range Bar Gaps Overlap indicator to visualize gaps and their overlaps as boxes on the chart.
Check the Data Window to confirm gap counts and sizes for each range (12, 24, 60, 120).
Adjust the "Minimal Deviation (%) for 12-Range" input to control gap detection sensitivity.
Settings
Minimal Deviation (%) for 12-Range: Set the minimum gap size for 12-range bars (default: 10% of 14-period SMA).
Range Sizes: Fixed at 24, 60, and 120 for higher range bar aggregation.
Notes
Ensure the script is published under your TradingView username (e.g., GreenArrow2005) for use with companion scripts.
Best used on range bar charts to maintain consistent gap detection.
For advanced overlap analysis, pair with the Range Bar Gaps Overlap indicator to highlight zones where gaps from different ranges align.
Ideal For
Traders seeking to identify key price levels for support/resistance or breakout strategies.
Multi-timeframe analysts combining gap data across various range bar sizes.
Developers building custom indicators that leverage gap data for advanced charting.
SMA Crossing Background Color (Multi-Timeframe)When day trading or scalping on lower timeframes, it’s often difficult to determine whether the broader market trend is moving upward or downward. To address this, I usually check higher timeframes. However, splitting the layout makes the charts too small and hard to read.
To solve this issue, I created an indicator that uses the background color to show whether the current price is above or below a moving average from a higher timeframe.
For example, if you set the SMA Length to 200 and the MT Timeframe to 5 minutes, the indicator will display a red background on the 1-minute chart when the price drops below the 200 SMA on the 5-minute chart. This helps you quickly recognize that the trend on the higher timeframe has turned bearish—without having to open a separate chart.
デイトレード、スキャルピングで短いタイムフレームでトレードをするときに、大きな動きは上に向いているのか下に向いているのかトレンドがわからなくなることがあります。
その時に上位足を確認するのですが、レイアウトをスプリットすると画面が小さくて見えにくくなるので、バックグラウンドの色で上位足の移動平均線では価格が上なのか下なのかを表示させるインジケーターを作りました。
例えば、SMA Length で200を選び、MT Timeframeで5分を選べば、1分足タイムフレームでトレードしていて雲行きが怪しくなってくるとBGが赤になり、5分足では200線以下に突入しているようだと把握することができます。
Two Poles Trend Finder MTF [BigBeluga]🔵 OVERVIEW
Two Poles Trend Finder MTF is a refined trend-following overlay that blends a two-pole Gaussian filter with a multi-timeframe dashboard. It provides a smooth view of price dynamics along with a clear summary of trend directions across multiple timeframes—perfect for traders seeking alignment between short and long-term momentum.
🔵 CONCEPTS
Two-Pole Filter: A smoothing algorithm that responds faster than traditional moving averages but avoids the noise of short-term fluctuations.
var float f = na
var float f_prev1 = na
var float f_prev2 = na
// Apply two-pole Gaussian filter
if bar_index >= 2
f := math.pow(alpha, 2) * source + 2 * (1 - alpha) * f_prev1 - math.pow(1 - alpha, 2) * f_prev2
else
f := source // Warm-up for first bars
// Shift state
f_prev2 := f_prev1
f_prev1 := f
Trend Detection Logic: Trend direction is determined by comparing the current filtered value with its value n bars ago (shifted comparison).
MTF Alignment Dashboard: Trends from 5 configurable timeframes are monitored and visualized as colored boxes:
• Green = Uptrend
• Magenta = Downtrend
Summary Arrow: An average trend score from all timeframes is used to plot an overall arrow next to the asset name.
🔵 FEATURES
Two-Pole Gaussian Filter offers ultra-smooth trend curves while maintaining responsiveness.
Multi-Timeframe Trend Detection:
• Default: 1H, 2H, 4H, 12H, 1D (fully customizable)
• Each timeframe is assessed independently using the same trend logic.
Visual Trend Dashboard positioned at the bottom-right of the chart with color-coded trend blocks.
Dynamic Summary Arrow shows overall market bias (🢁 / 🢃) based on majority of uptrends/downtrends.
Bold + wide trail plot for the filter value with gradient coloring based on directional bias.
🔵 HOW TO USE
Use the multi-timeframe dashboard to identify aligned trends across your preferred trading horizons.
Confirm trend strength or weakness by observing filter slope direction .
Look for dashboard consensus (e.g., 4 or more timeframes green] ) as confirmation for breakout, continuation, or trend reentry strategies.
Combine with volume or price structure to enhance entry timing.
🔵 CONCLUSION
Two Poles Trend Finder MTF delivers a clean and intuitive trend-following solution with built-in multi-timeframe awareness. Whether you’re trading intra-day or positioning for swing setups, this tool helps filter out market noise and keeps you focused on directional consensus.
Your trading time period background fillThis script allows you to add background highlights to charts during any regional trading session, customize your own trading time, and is precise and customizable yet simple and easy to use, making it more convenient to review transactions.
Support global mainstream time zones: The drop-down list includes 30 commonly used IANA time zones (default is Asia/Shanghai) (such as Asia/Shanghai, America/New_York, Europe/London, etc.), one-click switching, no need to manually calculate the time difference.
Fully localized time input: "Start hour/minute" and "End hour/minute" are filled in with the local time of the selected time zone. The end hour defaults to 23:00 and can be adjusted to 0-23 at will.
Accurate time difference splitting: The script internally splits the time zone offset into whole hours and remainder minutes (supports half-hour zones, such as UTC+5:30), and ensures that all parameters are integers when calling timestamp to avoid errors.
Dynamic background rendering: Each K-line is judged according to the UTC timestamp whether it falls within the set range. If it meets the time period, it will be marked with a semi-transparent green background, and it will return to its original state after crossing the time period, helping you to identify the opening, closing or active period of any market at a glance.
Wide range of scenarios: It can be used for time-sharing highlighting of all-weather varieties of foreign exchange and cryptocurrency, and can also be used in conjunction with backtesting and timing strategies to only send signals during the active period of the target market, greatly improving trading efficiency and strategy accuracy.
Just select the region and set the time, and the script will automatically complete all complex time zone conversions and drawing, allowing you to focus on the transaction itself.
Multi-Timeframe PivotDescription:
This script provides an advanced tool for multi-timeframe pivot point
analysis. It identifies swing points based on a candle's relationship to
its neighbors. The default strength settings of 1 align with the Inner
Circle Trader (ICT) concept of market structure.
The ICT concept defines a swing point based on a simple 3-candle pattern:
- A swing high is a candle where the candles to the immediate left and right
both have lower highs.
- A swing low is a candle where the candles to the immediate left and right
both have higher lows.
A key feature is its ability to accurately calculate and translate pivot
points from up to five higher timeframes (HTFs) and display them
precisely on a lower timeframe (LTF) chart.
NOTE: This indicator is designed to show HTF data on an LTF chart.
If you select a timeframe in the settings that is lower than your
current chart's timeframe, it will show pivots for the chart's
timeframe instead.
Core Features:
- Up to five independent higher timeframes.
- Per-timeframe customization for pivot strength (left/right bars) and color.
- Optional "Watchlines" that project the price of each pivot forward,
complete with a text label identifying the timeframe.
- An optional "Alignment Model" that colors the background when price is
aligned across all active timeframes (requires at least 2 TFs to be enabled).
Default State:
For a clean initial application, the Watchlines and Alignment Model features
are disabled by default but can be enabled in the settings.
ATR Stop-Loss with Fibonacci Take-Profit [jpkxyz]ATR Stop-Loss with Fibonacci Take-Profit Indicator
This comprehensive indicator combines Average True Range (ATR) volatility analysis with Fibonacci extensions to create dynamic stop-loss and take-profit levels. It's designed to help traders set precise risk management levels and profit targets based on market volatility and mathematical ratios.
Two Operating Modes
Default Mode (Rolling Levels)
In default mode, the indicator continuously plots evolving stop-loss and take-profit levels based on real-time price action. These levels update dynamically as new bars form, creating rolling horizontal lines across the chart. I use this mode primarily to plot the rolling ATR-Level which I use to trail my Stop-Loss into profit.
Characteristics:
Levels recalculate with each new bar
All selected Fibonacci levels display simultaneously
Uses plot() functions with trackprice=true for price tracking
Custom Anchor Mode (Fixed Levels)
This is the primary mode for precision trading. You select a specific timestamp (typically your entry bar), and the indicator locks all calculations to that exact moment, creating fixed horizontal lines that represent your actual trade levels.
Characteristics:
Entry line (blue) marks your anchor point
Stop-loss calculated using ATR from the anchor bar
Fibonacci levels projected from entry-to-stop distance
Lines terminate when price breaks through them
Includes comprehensive alert system
Core Calculation Logic
ATR Stop-Loss Calculation:
Stop Loss = Entry Price ± (ATR × Multiplier)
Long positions: SL = Entry - (ATR × Multiplier)
Short positions: SL = Entry + (ATR × Multiplier)
ATR uses your chosen smoothing method (RMA, SMA, EMA, or WMA)
Default multiplier is 1.5, adjustable to your risk tolerance
Fibonacci Take-Profit Projection:
The distance from entry to stop-loss becomes the base unit (1.0) for Fibonacci extensions:
TP Level = Entry + (Entry-to-SL Distance × Fibonacci Ratio)
Available Fibonacci Levels:
Conservative: 0.618, 1.0, 1.618
Extended: 2.618, 3.618, 4.618
Complete range: 0.0 to 4.764 (23 levels total)
Multi-Timeframe Functionality
One of the indicator's most powerful features is timeframe flexibility. You can analyze on one timeframe while using stop-loss and take-profit calculations from another.
Best Practices:
Identify your entry point on execution timeframe
Enable "Custom Anchor" mode
Set anchor timestamp to your entry bar
Select appropriate analysis timeframe
Choose relevant Fibonacci levels
Enable alerts for automated notifications
Example Scenario:
Analyse trend on 4-hour chart
Execute entry on 5-minute chart for precision
Set custom anchor to your 5-minute entry bar
Configure timeframe setting to "4h" for swing-level targets
Select appropriate Fibonacci Extension levels
Result: Precise entry with larger timeframe risk management
Visual Intelligence System
Line Behaviour in Custom Anchor Mode:
Active levels: Lines extend to the right edge
Hit levels: Lines terminate at the breaking bar
Entry line: Always visible in blue
Stop-loss: Red line, terminates when hit
Take-profits: Green lines (1.618 level in gold for emphasis)
Customisation Options:
Line width (1-4 pixels)
Show/hide individual Fibonacci levels
ATR length and smoothing method
ATR multiplier for stop-loss distance
Intra-bar Close/Open Gap [YuL]Just checking one idea: look at gaps between close and open bars on lower timeframe to try to estimate how much slippage exists there that may be a result of buying or selling pressure.
Perhaps it only useful in real time to see if situation of the current bar is changing.
Open to ideas and suggestions.
EMA Trend Dashboard
Trend Indicator using 3 custom EMA lines. Displays a table with 5 rows(position configurable)
-First line shows relative position of EMA lines to each other and outputs Bull, Weak Bull, Flat, Weak Bear, or Bear. EMA line1 should be less than EMA line2 and EMA line 2 should be less than EMA line3. Default is 9,21,50.
-Second through fourth line shows the slant of each EMA line. Up, Down, or Flat. Threshold for what is considered a slant is configurable. Also added a "steep" threshold configuration for steep slants.
-Fifth line shows exhaustion and is a simple, configurable calculation of the distance between EMA line1 and EMA line2.
--Lines one and five change depending on its value but ALL other colors are able to be changed.
--Default is somewhat set to work well with Micro E-mini Futures but this indicator can be changed to work on anything. I created it to help get a quick overview of short-term trend on futures. I used ChatGPT to help but I am still not sure if it actually took longer because of it.
Normalized Volume IndexIn the realm of technical analysis, volume is more than just a measure of market activity—it’s a window into trader psychology. Two classic indicators that harness this insight are the Positive Volume Index (PVI) and Negative Volume Index (NVI). Developed in the early 20th century by Paul L. Dysart and later refined by Norman G. Fosback in 1976, these tools aim to distinguish between the behavior of the so-called “smart money” and the broader market crowd.
- Positive Volume Index (PVI) tracks price changes only on days when trading volume increases. It assumes that rising volume reflects the actions of less-informed retail traders—those who follow the herd.
- Negative Volume Index (NVI), on the other hand, focuses on days when volume decreases, under the premise that institutional investors (the “smart money”) are more active when the market is quiet.
This dichotomy allows traders to interpret market sentiment through the lens of volume behavior. For example, a rising NVI during a price uptrend may suggest that institutional investors are quietly accumulating positions—often a bullish signal.
Traders use PVI and NVI to:
- Confirm trends: If NVI is above its moving average, it often signals a strong underlying trend supported by smart money.
- Spot reversals: Divergences between price and either index can hint at weakening momentum or upcoming reversals.
- Gauge participation: PVI rising faster than price may indicate overenthusiastic retail buying—potentially a contrarian signal.
These indicators are often paired with moving averages (e.g., 255-day EMA) to generate actionable signals. Fosback’s research suggested that when NVI is above its one-year EMA, there’s a high probability of a bull market.
While PVI and NVI are cumulative indices, normalizing them—for example, by rebasing to 100 or converting to percentage changes—offers several benefits:
- Comparability: Normalized indices can be compared across different assets or timeframes.
- Clarity: It becomes easier to visualize relative strength or weakness.
- Backtesting: Normalized values are more suitable for algorithmic strategies and statistical analysis.
Normalization also helps when combining PVI/NVI with other indicators in multi-factor models, ensuring no single metric dominates due to scale differences
In essence, PVI and NVI offer a nuanced view of market dynamics by separating the noise of volume surges from the quiet confidence of institutional moves. When normalized and interpreted correctly, they become powerful allies in a trader’s decision-making toolkit.
How to use this (Educational material):
For instance, on average, when the Negative Volume Index (NVI) remains above its midline, the market tends to trend positively, reflecting consistent institutional participation. However, when the NVI dips and stays below the midline, it often signals a negative trend, indicating that smart money is stepping away or reducing exposure.
Another telling scenario occurs when the Positive Volume Index (PVI) drops below the NVI. While this might coincide with a brief price dip, institutions often interpret this as an opportunity to buy the dip, quietly accumulating positions while retail participants exit in panic. The result? A market recovery driven by smart money.
Conversely, when the PVI consistently remains above the NVI, it may point to retail enthusiasm outpacing institutional support. This imbalance can flag a tired or overextended trend, where the smart money has already positioned itself defensively. When this pattern persists, there's a high likelihood that institutions will pull the plug, leading to a pronounced trend reversal.
Simple Market Kill-Zones + Open (UTC)What it does
This Pine v6 indicator highlights the “kill-zones” around the big session opens—Asian (23:00–03:00 UTC), London (07:00–09:00 UTC) and New York (13:30–15:30 UTC)—by reading each bar’s actual UTC timestamp. It also draws dashed vertical lines at exactly 23:00, 07:00 and 13:30 UTC, so you never miss the liquidity ramps. Because it uses raw UTC hours/minutes, it stays accurate even when exchanges pause (e.g. Nano-BTC’s daily halt) or your chart’s display timezone changes.
Key Inputs
Show Asia/London/NY Kill Zone – toggle each shaded band on/off
Zone Colors – pick your own semi-transparent hues
Show Session-Open Lines – enable dashed verticals at the exact open times
Line Colors – customize the line opacity and style
How to use
Apply on your favorite timeframe (15 min–1 h is a sweet spot).
Toggle the zones you care about and pick readable colors.
Use the dashed lines as entry triggers or as visual bookmarks.
In your own Pine strategies, wrap order logic with the zone booleans to only trade when liquidity’s alive.
Custom EMA High/Low & SMA - [GSK-VIZAG-AP-INDIA] Custom EMA High/Low & SMA -
1. Overview
This indicator overlays a dynamic combination of Exponential Moving Averages (EMA) and Simple Moving Average (SMA) to identify momentum shifts and potential entry/exit zones. It highlights bullish or bearish conditions using color-coded SMA logic and provides visual Buy/Sell signals based on smart crossover and state-based logic.
2. Purpose / Use Case
Designed for traders who want to visually identify momentum breakouts, trend reversals, or pullback opportunities, this tool helps:
Spot high-probability buy/sell zones
Confirm price strength relative to volatility bands (EMA High/Low)
Time entries based on clean visual cues
It works well in trend-following strategies, particularly in intraday or swing setups across any liquid market (indices, stocks, crypto, etc.).
3. Key Features & Logic
✅ EMA High/Low Channel: Acts as dynamic support/resistance boundaries using 20-period EMAs on high and low prices.
✅ Timeframe-Specific SMA: A 33-period SMA calculated from a user-defined timeframe (default: 10-minute) for flexible multi-timeframe analysis.
✅ Signal Generation:
Buy: When SMA drops below EMA Low and close is above EMA High.
Sell: When SMA rises above EMA High and price closes below both EMAs.
Optionally, signals also fire based on SMA color changes (green = bullish, red = bearish).
✅ Strict or Loose Signal Logic: Choose between precise crossovers or broader state-based conditions.
✅ Debugging Tools: Optional markers for granular insight into condition logic.
4. User Inputs & Settings
Input Description
EMA High Length Period for EMA of high prices (default: 20)
EMA Low Length Period for EMA of low prices (default: 20)
SMA Length Period for Simple Moving Average (default: 33)
SMA Timeframe Timeframe for SMA (default: “10”)
Show Buy/Sell Arrows Enable visual arrow signals for Buy/Sell
Strict Signal Logic ON = crossover-based signals; OFF = state logic
Plot Signals on SMA Color Change Enable signals on SMA color shifts (Green/Red)
Show Debug Markers Plot small markers to debug condition logic
5. Visual Elements Explained
🔵 EMA High Line – Blue line marking dynamic resistance
🔴 EMA Low Line – Red line marking dynamic support
🟡 SMA Line – Color-coded based on position:
Green if SMA < EMA Low (Bullish)
Red if SMA > EMA High (Bearish)
Yellow otherwise (Neutral)
✅ BUY / SELL Labels – Displayed below or above candles on valid signals
🛠️ Debug Circles/Triangles – Help visually understand the signal logic when enabled
6. Usage Tips
Best used on 5–30 min timeframes for intraday setups or 1H+ for swing trades.
Confirm signals with volume, price action, or other confluences (like support/resistance).
Use strict mode for more accurate entries, and non-strict mode for broader trend views.
Ideal for identifying pullbacks into trend, or early reversals after volatility squeezes.
7. What Makes It Unique
Multi-timeframe SMA integrated with EMA High/Low bands
Dual signal logic (crossover + color shift)
Visually intuitive and beginner-friendly
Minimal clutter with dynamic signal labeling
Debug mode for transparency and learning
8. Alerts & Automation
The indicator includes built-in alert conditions for:
📈 Buy Alert: Triggered when a bullish condition is detected.
🔻 Sell Alert: Triggered when bearish confirmation is detected.
These alerts can be used with TradingView's alert system for real-time notifications or bot integrations.
9. Technical Concepts Used
EMA (Exponential Moving Average): Reacts faster to recent price, ideal for trend channels
SMA (Simple Moving Average): Smoother average for detecting general trend direction
Crossover Logic: Checks when SMA crosses over or under EMA levels
Color Coding: Visual signal enhancement based on relative positioning
Multi-Timeframe Analysis: SMA calculated on a custom timeframe, powerful for confirmation
10. Disclaimer
This script is for educational and informational purposes only. It is not financial advice. Always backtest thoroughly and validate on demo accounts before applying to live markets. Trading involves risk, and past performance does not guarantee future results.
11. Author Signature
📌 Indicator Name: Custom EMA High/Low & SMA -
👤 Author: GSK-VIZAG-AP-INDIA
Avg daily rangeThe Average Daily Range (ADR) is a technical indicator that measures the average price movement of a financial instrument over a specific period.
F&O Time Zones – Final Fixed📌 This indicator highlights high-probability intraday time zones used in Indian F&O (Futures & Options) strategies. Ideal for scalping, breakout setups, and trap avoidance.
🕒 Covered Time Zones:
• 9:15 – 9:21 AM → Flash Trades (first 1-minute volatility)
• 9:21 – 9:30 AM → Smart Money Trap (VWAP fakeouts)
• 9:30 – 9:50 AM → Fake Breakout Zone
• 9:50 – 10:15 AM → Institutional Entry Timing
• 10:15 – 10:45 AM → VWAP Range Scalps
• 10:45 – 11:15 AM → Second Trap Zone
• 11:15 – 1:00 PM → Trend Continuation Window
• 1:00 – 1:45 PM → Volatility Compression
• 1:45 – 2:15 PM → Institutional Exit Phase 1
• 2:15 – 2:45 PM → Trend Acceleration / Reversals
• 2:45 – 3:15 PM → Expiry Scalping Zone
• 3:15 – 3:30 PM → Dead Zone (square-off time)
🔧 Features:
✓ Clean vertical lines per zone
✓ Optional label positions (top or bottom)
✓ Adjustable line style, width, and color
🧠 Best used on: NIFTY, BANKNIFTY, FINNIFTY (5-min or lower)
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🔒 **Disclaimer**:
This script is for **educational purposes only**. It is not financial advice. Trading involves risk. Please consult a professional or do your own research before taking any positions.
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👤 Script by: **JoanJagan**
🛠️ Built in Pine Script v5
Fisher Transform Background StripesThe "Fisher Transform Background Stripes" indicator is an easy-to-use tool that helps traders identify extreme market conditions using the Fisher Transform, a technical indicator that normalizes price data to highlight potential reversals. It displays colored background stripes on your chart to show when the market is oversold or undersold, making it simple to spot trading opportunities.
How It Works:Fisher Transform Calculation: The indicator calculates the Fisher Transform based on a user-defined period (default: 9), using the average of high and low prices to measure market momentum and identify extreme price movements.
Oversold/Undersold Levels: It highlights when the Fisher Transform is above a user-set oversold level (default: 3.0) with red background stripes, or below an undersold level (default: -2.0) with green background stripes.
Visual Feedback: Red and green stripes appear on the chart to mark oversold or undersold conditions, helping you quickly understand market extremes.
Customization: You can adjust the Fisher Transform period, oversold/undersold levels, background colors, and transparency. You can also enable an optional Fisher Transform plot or display values on the chart for debugging.
Wait for Close Option: You can choose whether the indicator waits for the timeframe’s candle to close before showing stripes, ensuring more reliable signals.
Alerts: Optional alerts notify you when the Fisher Transform crosses into oversold or undersold zones (always using confirmed values for accuracy).
Who It’s For: This indicator is ideal for beginner and intermediate traders looking for a clear, visual way to track extreme market conditions and potential reversals using the Fisher Transform.
Key Features:Colored background stripes for oversold (red) and undersold (green) conditions.
Customizable settings for period, levels, colors, and transparency.
Option to wait for candle close for more accurate signals.
Optional Fisher Transform plot and value display for analysis.
Alerts to notify you of key Fisher Transform level crossings.
This indicator provides a straightforward way to monitor market extremes and make informed trading decisions.
RSI OS/OB Background StripesThe "RSI OS/OB Background Stripes" indicator is a simple tool designed to help traders visualize overbought and oversold market conditions using the Relative Strength Index (RSI). It highlights these conditions by displaying colored background stripes directly on your chart, making it easy to spot potential trading opportunities.
How It Works:RSI Calculation: The indicator calculates the RSI, a popular momentum indicator that measures the speed and change of price movements, using a default period of 14 (customizable).
Overbought/Oversold Levels: It marks areas where the RSI is above a user-defined overbought level (default: 70) with red background stripes, and below an oversold level (default: 30) with green background stripes.
Visual Feedback: The colored stripes appear on the chart when the RSI enters overbought (red) or oversold (green) zones, helping you quickly identify market conditions.
Customization: You can adjust the RSI period, overbought/oversold levels, background colors, and transparency. You can also choose to show the RSI line in a separate panel or display RSI values on the chart for debugging.
Alerts: The indicator includes optional alerts that notify you when the RSI crosses into overbought or oversold territory.
Who It’s For: This indicator is perfect for beginner and intermediate traders who want a clear, visual way to track RSI-based overbought and oversold conditions without cluttering their charts.
Key Features:Easy-to-read background stripes for overbought (red) and oversold (green) conditions.
Fully customizable RSI settings, colors, and transparency.
Optional RSI plot and value display for deeper analysis.
Alerts to keep you informed of key RSI level crossings.
This indicator is a straightforward way to monitor market momentum and make informed trading decisions.
Order Blocks v2Order Blocks v2 – Smart OB Detection with Time & FVG Filters
Order Blocks v2 is an advanced tool designed to identify potential institutional footprints in the market by dynamically plotting bullish and bearish order blocks.
This indicator refines classic OB logic by combining:
Fractal-based break conditions
Time-level filtering (Power of 3)
Optional Fair Value Gap (FVG) confirmation
Real-time plotting and auto-invalidation
Perfect for traders using ICT, Smart Money, or algorithmic timing models like Hopplipka.
🧠 What the indicator does
Detects order blocks after break of bullish/bearish fractals
Supports 3-bar or 5-bar fractal structures
Allows OB detection based on close breaks or high/low breaks
Optionally confirms OBs only if followed by a Fair Value Gap within N candles
Filters OBs based on specific time levels (3, 7, 11, 14) — core anchors in many algorithmic models
Automatically deletes invalidated OBs once price closes through the zone
⚙️ How it works
The indicator:
Tracks local fractal highs/lows
Once a fractal is broken by price, it backtracks to identify the best OB candle (highest bullish or lowest bearish)
Validates the level by checking:
OB type logic (close or HL break)
Time stamp match with algorithmic time anchors (e.g. 3, 7, 11, 14 – known from the Power of 3 concept)
Optional FVG confirmation after OB
Plots OB zones as lines (body or wick-based) and removes them if invalidated by a candle close
This ensures traders see only valid, active levels — removing noise from broken or out-of-context zones.
🔧 Customization
Choose 3-bar or 5-bar fractals
OB detection type: close break or HL break
Enable/disable OBs only on times 3, 7, 11, 14 (Hopplipka style)
Optional: require nearby FVG for validation
Line style: solid, dashed, or dotted
Adjust OB length, width, color, and use body or wick for OB height
🚀 How to use it
Add the script to your chart
Choose your preferred OB detection mode and filters
Use plotted OB zones to:
Anticipate price rejections and reversals
Validate Smart Money or ICT-based entry zones
Align setups with algorithmic time sequences (3, 7, 11, 14)
Filter out invalid OBs automatically, keeping your chart clean
The tool is useful on any timeframe but performs best when combined with a liquidity-based or time-anchored trading model.
💡 What makes it original
Combines fractal logic with OB confirmation and time anchors
Implements time-based filtering inspired by Hopplipka’s interpretation of the "Power of 3"
Allows OB validation via optional FVG follow-up — rarely available in public indicators
Auto-cleans invalidated OBs to reduce clutter
Designed to reflect market structure logic used by institutions and algorithms
💬 Why it’s worth using
Order Blocks v2 simplifies one of the most nuanced parts of SMC: identifying clean and high-probability OBs.
It removes subjectivity, adds clear timing logic, and integrates optional confluence tools — like FVG.
For traders serious about algorithmic-level structure and clean setups, this tool delivers both logic and clarity.
⚠️ Important
This indicator:
Is not a signal generator or financial advice tool
Is intended for experienced traders using OB/SMC/time-based logic
Does not predict market direction — it provides visual structural levels only
