ATRMSRATRMSR
MTF ATR Horizontal S/R deviations
MTF ATR trailing stops
MTF ATR High/low
Will be updated soon.
V.01
Cari dalam skrip untuk "mtf"
UMMLMurray math with options to calculate wicks for readjusting of "Frame" ,mtf support to select desired period lines without switching time frames, Fractal and mtf fractal support ,option to keep just extreme deviations, UMML expands and contracts differently than similar scripts in volatile periods and are easily configurable by users for size,style and reactivity of lines
previous version hosted in link below
The Grid
indicator isnt finished yet as smoothening for line expansion and contractions is still being worked on alongside function to average the lines for short-median-long tf in MTF grid mode
VolumeS as stochv1just to show a concept . I use volume S to make it as stoch and add to it MTF function
B=buy
S=sell
D=down
if you do not like the MTF fuction just remove it from code or put the time frame of graph to be exact as MTF one
I did not add alert as it just a concept idea , to make it more complex it easy if you add more indicators to it and then compare the signals
have fun
🚀 NQ1 Smart Limit System V5### 🚀 NQ1 Smart Limit System V5 | מערכת לימיטים חכמה ל-נאסד"ק
מערכת מסחר פורצת דרך שתוכננה במיוחד עבור סוחרי נאסד"ק (NQ1, QQQ), במטרה לאתר נקודות היפוך בעלות סבירות גבוהה. האינדיקטור לא מסתמך על שיטה בודדת, אלא משתמש במנוע קונפלואנס (מפגש אסטרטגיות) רב-עוצמה ובמנגנון אישור דינמי כדי לספק איתותי כניסה איכותיים למסחר מבוסס פקודות לימיט.
---
### **🎯 תכונות עיקריות**
* **מנוע קונפלואנס רב-שכבתי:** מזהה אזורים בהם נפגשות מספר שיטות ניתוח טכני מוכחות:
* **מבני ווייקוף (Wyckoff Springs):** לזיהוי שבירות שווא וספיגה מוסדית.
* **נזילות כלואה (Trapped Liquidity):** לאיתור אזורים מהם יצאו מהלכים חזקים.
* **אורדר בלוקים (Order Blocks):** לאיתור טביעות הרגל של "הכסף החכם".
* **🧠 מנגנון אישור דינמי:** לפני כל כניסה, המערכת מריצה בדיקות בזמן אמת כדי לסנן איתותי שווא:
* **בדיקת מומנטום:** מוודא שהמחיר לא מגיע לאזור באגרסיביות יתר.
* **בדיקת קונטקסט רב-זמני (MTF):** מוודא שהעסקה תואמת למגמה הכללית.
* **בדיקת ספיגה (Absorption):** מחפש סימנים של כניסת קונים/מוכרים חזקים ברמה.
* **🧬 מערכת DNA לומדת:** המערכת מתאימה את עצמה לביצועי העבר ונותנת משקל גבוה יותר לאסטרטגיות שמצליחות בתנאי השוק הנוכחיים.
* **🚀 התאמות ייעודיות ל-NQ1:** כולל כלים ייחודיים לנאסד"ק כמו זיהוי מספרים עגולים, אסטרטגיית פתיחה, מסנן מניות מגה-קאפ, וניהול תנודתיות קיצונית.
* **📊 שלושה מצבי מסחר:** בחר את סגנון המסחר שלך:
* **🏃 Scalping:** למהלכים מהירים ואגרסיביים.
* **⚖️ Balanced:** גישה מאוזנת ובטוחה.
* **🎯 Swing:** למהלכים גדולים וסבלניים.
---
### **איך זה עובד?**
המערכת פועלת בתהליך חכם בן 3 שלבים:
1. **זיהוי:** המערכת מזהה אזור פוטנציאלי בעל ציון גבוה ומסמנת אותו במצב **"ממתין"**.
2. **אישור:** כאשר המחיר מתקרב לאזור, המערכת מפעילה את מנגנון האישור הדינמי. אם האזור עובר את הבדיקות בהצלחה, הוא משתנה למצב **"מאושר"**.
3. **ביצוע:** רק לאחר קבלת סטטוס **"מאושר"**, הסוחר יכול להציב פקודת לימיט עם תוכנית מסחר מלאה (כניסה, סטופ ויעדים) שהמערכת מספקת.
---
### **איך להשתמש?**
1. בחר את מצב המסחר המתאים לסגנון שלך (`Scalping`, `Balanced`, `Swing`).
2. המתן להופעת אזור על הגרף עם סטטוס **"ממתין"**. אין לפעול בשלב זה.
3. עקוב אחר האזור. אם הוא עובר את הבדיקות והופך ל-**"מאושר" ✅**, זהו האות שלך להתכונן.
4. הצב פקודת לימיט בפלטפורמת המסחר שלך בהתאם לנתוני הכניסה, הסטופ לוס (SL) ויעדי הרווח (TP1, TP2) שהאינדיקטור מציג.
**גילוי נאות:** אינדיקטור זה הוא כלי עזר לקבלת החלטות ואינו מהווה המלצה פיננסית. מסחר בחוזים עתידיים כרוך בסיכון. יש לנהל סיכונים בקפידה.
### 🚀 NQ1 Smart Limit System V5 | Smart Limit System for NASDAQ
A groundbreaking trading system designed exclusively for Nasdaq traders (NQ1, QQQ), engineered to identify high-probability reversal points. This indicator does not rely on a single method; instead, it utilizes a powerful multi-layered confluence engine and a dynamic confirmation mechanism to provide high-quality entry signals for limit order-based trading.
---
### **🎯 Key Features**
* **Multi-Layered Confluence Engine:** Identifies zones where multiple proven technical analysis concepts converge:
* **Wyckoff Structures (Springs):** To detect false breakouts and institutional absorption.
* **Trapped Liquidity:** To pinpoint zones that initiated strong impulse moves.
* **Order Blocks:** To track the footprints of "Smart Money".
* **🧠 Dynamic Confirmation Mechanism:** Before any entry, the system runs real-time checks to filter out false signals:
* **Momentum Check:** Ensures the price isn't approaching the zone too aggressively.
* **Multi-Timeframe (MTF) Context:** Verifies that the trade aligns with the broader market trend.
* **Absorption Check:** Looks for signs of strong buying/selling pressure at the level.
* **🧬 Adaptive DNA System:** The system learns from its past performance, giving more weight to strategies that are succeeding in the current market conditions.
* **🚀 Special NQ1 Adaptations:** Includes unique tools for the Nasdaq index, such as psychological round number detection, an opening range strategy, a mega-cap stock filter, and extreme volatility management.
* **📊 Three Trading Modes:** Choose your preferred trading style:
* **🏃 Scalping:** For fast and aggressive moves.
* **⚖️ Balanced:** For a safe and well-rounded approach.
* **🎯 Swing:** For large, patient moves.
---
### **How It Works**
The system operates on a smart 3-step process:
1. **Identification:** The system identifies a potential high-score zone and marks it as **"Waiting"**.
2. **Confirmation:** As the price approaches the zone, the dynamic confirmation mechanism is activated. If the zone successfully passes the checks, its state changes to **"Confirmed"**.
3. **Execution:** Only after receiving a **"Confirmed"** status can the trader place a limit order with a complete trade plan (Entry, Stop Loss, and Take Profit targets) provided by the system.
---
### **How to Use**
1. Select the trading mode that fits your style (`Scalping`, `Balanced`, `Swing`).
2. Wait for a zone to appear on the chart with a **"Waiting"** status. Do not act at this stage.
3. Monitor the zone. If it passes the checks and becomes **"Confirmed" ✅**, this is your signal to prepare.
4. Place a limit order in your trading platform according to the Entry, Stop Loss (SL), and Take Profit (TP1, TP2) levels displayed by the indicator.
**Disclaimer:** This indicator is a decision-support tool and does not constitute financial advice. Trading futures involves risk. Please manage your risk carefully.
OG TTM Histogram [Elite Edition] © 2025🧠 OG TTM Histogram Elite © 2025 | by OG WEALTH™
Built for sniper entries, this enhanced TTM Squeeze indicator includes:
• 🎯 Histogram Momentum Bars (Smoothed)
• ⚫ Black Dots = Squeeze Building (tight coil)
• 🟢 Green Dots = Squeeze Released (entry zone forming)
• 🔺/🔻 Entry Arrows based on Momentum + MTF Confirmation
• ⏱️ Customizable MTF Settings
• 🏷️ Compact Top-Right Squeeze Status Tag
• 🔔 Audio + Push Alerts for all major signals
Perfect for SPY, TSLA, AAPL, and crypto breakout traders.
Ideal for scalping, intraday, and swing strategies.
Pineify Signals and OverlaysIndicator Theoretical Basis
Pineify Signals and Overlays is an invite-only trend-following and reversal-detection toolkit that fuses four well-known concepts— Dow-Theory trend phases , a multi-pair EMA cloud, QQE momentum, and ATR-based risk management—into a single, weight-balanced engine. An optional multi-time-frame (MTF) filter aligns lower-time-frame signals with higher-time-frame structure, helping traders avoid counter-trend setups. All components can be toggled from the settings panel, and a beginner “One-Click” preset loads a conservative profile out of the box.
Why it’s a single script: The algorithm scores every bar on three orthogonal axes—trend, momentum, and volatility—then issues context-aware arrows and coloured clouds only when the axes agree within user-defined tolerances. This inter-locking logic cannot be reproduced by simply stacking independent indicators on a chart, hence the need for an integrated implementation.
Trend Confirmation
Trend Confirmation: This indicator presents two types of market trends: the primary trend and the secondary trend. The primary trend is the long - term direction of the market and can last for days or months; the secondary trend is the adjustment phase within the primary trend.
This indicator uses the EMA (Exponential Moving Average) and visualizes the trend phases through color filling. The judgment of the trend is that blue plus green indicates a bullish trend, and yellow plus red indicates a bearish trend.
The primary trend of this indicator is visualized by two sets of moving averages through color filling. These two sets of moving averages are used to describe the short - term and long - term trends in the market.
The short - period moving averages and the long - period moving averages each consist of 4 moving averages, with a total of 8 moving averages, representing the short - term fluctuations and trends of the market.
Trend Persistence: Once the primary trend is formed, it will persist for a period of time. This indicator judges based on the Dow Theory. Short - term market fluctuations do not necessarily reflect changes in the primary trend. Therefore, the judgment direction of the primary trend is visualized through color.
The Signals of Buying, Selling and Closing
In the primary trend, we can see signals of trend reversal. This indicator incorporates the "Consecutive Candles". The indicator mainly identifies the overbought or oversold state of the market through a series of consecutive conditions, so as to predict the reversal point. The core of this indicator is to identify a series of consecutive price movements in the market trend and determine whether the market is about to reverse based on this sequence. We visualize the turning points through buy and sell signals.
The trend confirmation system utilizes four pairs of Exponential Moving Averages (EMAs) creating dynamic cloud formations that visualize market direction. Short-period EMAs (5, 8, 20, 34) interact with longer-period EMAs (9, 13, 21, 50) to generate color-coded trend clouds . Blue and green clouds indicate bullish conditions, while yellow and red clouds signal bearish trends, providing immediate visual trend identification.
The presentation of buying and selling points, namely "Quantitative Qualitative Estimation", is a technical indicator that combines the concepts of the Relative Strength Index (RSI) and moving averages. It is used to evaluate market trends, overbought and oversold conditions, as well as potential trend reversal points. The oscillator has a relatively long smoothing period, making the indicator relatively stable, thus enabling the visualization of buy + and sell + signals for trading.
ATR Stop - Loss Line
ATR (Average True Range) is an indicator for measuring market volatility. By using the ATR value to set the stop - loss distance, the stop - loss level can be automatically adjusted according to market volatility, making the stop - loss more flexible.
Core principle
Trend-Cloud Engine
EMA Pairs (5, 8, 20, 34 vs 9, 13, 21, 50)—Two four-EMA sets form “fast” and “slow” envelopes. When the volume-weighted mean of the fast set sits above the slow set and both slopes are positive, the bar is tagged primary bullish; the inverse tags primary bearish. Cloud colours (blue/green vs yellow/red) mirror Dow Theory’s primary/secondary trend hierarchy.
Momentum & Exhaustion Layer
QQE Oscillator (RSI 14, factor 4.238) detects momentum extremes and smooths noise more than a raw RSI, making it better suited for multi-time-frame use.
Consecutive-Candle Counter (default 8) highlights potential exhaustion after extended unidirectional moves; reversal symbols appear only if QQE divergence also exists.
Volatility-Adjusted Risk Line
ATR Trailing Stop (ATR 21, dynamic multiplier) expands in high volatility and tightens in low volatility, offering an adaptive exit reference rather than a fixed-tick stop.
Multi-Time-Frame Confirmation
The script automatically chooses a higher aggregation (e.g., 4 × the chart timeframe) and requires primary-trend agreement before issuing “Long ▲+” or “Short ▼+” confirmations. This guards against false signals during counter-trend rebounds.
Recommended parameters
RSI Length: 14 (QQE calculation base)
QQE Factor: 4.238 (Fibonacci-based multiplier)
ATR Period: 21 (volatility measurement)
EMA Lengths: Configurable short (5,8,20,34) and long (9,13,21,50) periods
Consecutive Candles: Selectable count (8)
Multi-timeframe Filter: Filter is enabled by default, resulting in more accurate signals.
Filters
The multi-timeframe filter enhances signal reliability by confirming trends across higher timeframes. This prevents counter-trend trades by ensuring alignment between current chart timeframe and broader market direction. The filter automatically calculates appropriate higher timeframes for trend confirmation.
Signals & Alerts
The indicator system exports multiple alert signals, and you can easily alert for any signal.
Up Trend : Primary long signal appears
Long - ▲ : Buy signal appears
Long - ▲+ : Confirmation buy signal appears
Long - ● : Primary reversal signal appears
Long - ☓ : Secondary reversal signal appears
Down Trend : Primary short signal appears
Short - ▼ : Sell signal appears
Short - ▼+ : Confirmation sell signal appears
Short - ● : Primary reversal signal appears
Short - ☓ : Secondary reversal signal appears
Originality & Value for Traders
Integrated scoring logic ensures signals fire only when trend, momentum, and volatility metrics corroborate, reducing “indicator conflict”.
Auto-computed MTF pairs mean no manual timeframe juggling.
Weight-balanced QQE/EMA blend creates smoother trend clouds than standard MA crosses, yet remains more responsive than Keltner or Donchian approaches.
One-click beginner profile plus full parameter access supports both novice and advanced users.
Risk Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (Pineify) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Enhanced Zones with Volume StrengthEnhanced Zones with Volume Strength
Your reliable visual guide to market zones — now with Multi-Timeframe (MTF) power!
What you get:
Clear visual zones on your chart — color-coded boxes that highlight important price areas.
Blue Boxes for neutral zones — easy to spot areas of indecision or balance.
Gray Boxes to show normal volume conditions, giving you context without clutter.
Green Boxes highlighting bullish zones where strength is showing.
Red Boxes marking bearish zones where weakness might be in play.
Multi-Timeframe Support:
Seamlessly visualize these zones from higher timeframes directly on your current chart for a bigger-picture view, helping you make smarter trading decisions.
How to use it:
Adjust the box width (in bars) to fit your trading style and timeframe.
Customize colors and opacity to suit your chart theme.
Toggle neutral blue and gray volume boxes on/off to focus on what matters most to you.
Set the maximum number of boxes to keep your chart clean and performant.
Why you’ll love it:
This indicator cuts through the noise by visually marking zones where volume and price action matter the most — without overwhelming your chart. The MTF feature means you’re always aligned with higher timeframe trends without switching views.
Pro tip:
Use these boxes as dynamic support/resistance areas or to confirm trade setups alongside your favorite indicators.
No complicated formulas here, just crisp, actionable visuals designed for clarity and confidence.
NeuroFlow Pro IndicatorThe **NeuroFlow Pro Indicator** is a comprehensive technical analysis tool designed for traders on the TradingView platform. It provides actionable buy and sell signals by combining multiple technical indicators, including Moving Averages, MACD, RSI, Stochastic RSI, SuperTrend, Ichimoku Cloud, Bollinger Bands, and Volume analysis. The indicator generates a **Composite Score** (0–100) that reflects market conditions, with low scores indicating bullish opportunities and high scores suggesting bearish conditions. It also identifies key trend reversal points and significant EMA crossovers (Golden Cross and Death Cross) to help traders make informed decisions.
**Key Features**:
- **Composite Score**: Aggregates signals from multiple indicators to provide a single, easy-to-read metric.
- **Buy/Sell Signals**: Generates clear signals for potential long (buy) and short (sell) opportunities.
- **Golden/Death Cross**: Marks EMA 50 crossing above (🚀) or below (💀) EMA 200, indicating major trend shifts.
- **Dashboard**: Displays real-time metrics like trend direction, momentum, volume, and signal confidence.
- **Customizable Alerts**: Notifies users of buy/sell signals, divergences, and EMA crossovers via TradingView’s alert system.
- **Multi-Timeframe Analysis**: Incorporates higher timeframe trends for enhanced signal reliability.
- **Candlestick Patterns**: Optionally includes patterns like Hammer, Engulfing, or Morning Star for signal confirmation.
This indicator is ideal for traders seeking a robust, all-in-one tool to identify trading opportunities across various markets (e.g., crypto, stocks, forex) and timeframes (e.g., 1H, 4H, daily).
User Guide for NeuroFlow Pro Indicator
Understanding the Indicator
- **Dashboard**:
- Located on the chart (left or right, configurable), it shows real-time metrics:
- **Comp Score**: Composite Score (0–100); low (<30) is bullish, high (>70) is bearish.
- **Trend**: Bullish, Bearish, or Neutral
- **MTF Trend**: Trend from a higher timeframe (e.g., 60m or 240m).
- **Momentum**: RSI and Stochastic RSI-based momentum (Bullish, Bearish, Neutral).
- **MFI**: Money Flow Index (Inflow, Outflow, Neutral).
- **Volatility**: High or Low based on ATR and Bollinger Bands.
- **Volume**: High, Low, or Neutral relative to volume MA.
- **Ichimoku**: Bullish, Bearish, or Neutral based on cloud position.
- **ADX Strength**: Strong or Weak trend based on ADX.
- **Divergence**: Bullish, Bearish, or Neutral for RSI/MACD divergences.
- **Reversal**: Bullish or Bearish reversal potential with confidence percentage.
- **Signal Status**: Long (buy), Short (sell), or None.
- **Signal Confid**: Confidence percentage for the current signal.
- **Chart Visuals**:
- **EMA 50 (White)**: Fast-moving average for short-term trends.
- **EMA 200 (Blue)**: Long-moving average for long-term trends.
- **Golden Cross (🚀)**: Green rocket emoji when EMA 50 crosses above EMA 200 (bullish).
- **Death Cross (💀)**: Red skull emoji when EMA 50 crosses below EMA 200 (bearish).
- **Alerts**:
- Configurable for Buy/Sell Signals, Golden/Death Cross, and Bullish/Bearish Divergences.
Configuring Settings
1. **Open Settings**:
- Right-click the indicator’s name on the chart and select “Settings,” or double-click the indicator in the chart’s indicator list.
2. **Key Settings to Customize**:
- **Strategy Settings**:
- **Max ATR Multiplier**: Adjusts sensitivity to volatility (default: 3.0).
- **Main Settings**:
- **Candlestick Pattern**: Choose Hammer, Engulfing, Morning Star, or Custom (default: Hammer).
- **Multi-Timeframe Period**: Set higher timeframe for trend analysis (e.g., 60m, 240m, Daily; default: 60m).
- **Higher Timeframe**: Secondary timeframe for confirmation (default: 240m).
- **Use Candlestick Patterns**: Enable/disable pattern-based signals (default: off).
- **Use Volume Filter**: Require high volume for signals (default: on).
- **Use ADX Filter**: Require strong trend for signals (default: on).
- **Momentum Settings**:
- **RSI/Stochastic/MFI Lengths**: Adjust periods for RSI, Stochastic RSI, and MFI (defaults: 14, 14, 60).
- **EMA Lengths**: Fast (50), Slow (100), Long (200) for trend and crossovers.
- **ATR/ADX Lengths**: Volatility and trend strength periods (default: 14).
- **SuperTrend/Bollinger/Ichimoku Settings**:
- Customize periods and multipliers (defaults: SuperTrend 10/3.0, Bollinger 20/2.0, Ichimoku 9/26/52).
- **MACD Settings**:
- **MACD Preset**: Auto (timeframe-based), 1H (3-10-16), 4H (5-34-21), D (5-15-9), or Custom (default: Auto).
- **Custom MACD Lengths**: Fast (12), Slow (26), Signal (9) for Custom preset.
- **Weights Settings**:
- Adjust weights for trend, momentum, volatility, etc., to prioritize certain indicators (defaults: Trend 1.0, Momentum 0.3, etc.).
- **Threshold Settings**:
- **Bullish/Bearish Reversal Thresholds**: Set score thresholds for reversals (default: 30/70).
- **ADX Threshold**: Minimum ADX for trend strength (default: 20).
- **Signal Thresholds**: Base (70) and alert (80) thresholds for signals.
- **Dashboard Settings**:
- **Position**: Left or Right (default: Right).
- **Show/Hide Metrics**: Enable/disable dashboard rows (e.g., Comp Score, Trend, MFI; all enabled by default except Volatility and Volume MA).
3. **Save Changes**:
- Click “OK” to apply settings. The dashboard and plots update instantly.
Using the Indicator
1. **Interpreting Signals**:
- **Buy Signal (Long)**: Appears when Composite Score is low (≤30), with at least two bullish confirmations . Shown as “Long” in Signal Status with confidence percentage.
- **Sell Signal (Short)**: Appears when Composite Score is high (≥70), with at least two bearish confirmations. Shown as “Short” in Signal Status.
- **Golden Cross (🚀)**: Indicates a bullish trend when EMA 50 crosses above EMA 200. Look for confirmation from Composite Score and Signal Status.
- **Death Cross (💀)**: Indicates a bearish trend when EMA 50 crosses below EMA 200. Confirm with dashboard metrics.
- **Reversal Signals**: Dashboard shows “Bullish” or “Bearish” with a percentage when reversal conditions are met .
2. **Monitoring the Dashboard**:
- Use the dashboard to assess market conditions in real-time.
- Green (bullish), red (bearish), or gray (neutral) colors highlight key metrics.
- Check “Signal Confid” for confidence in buy/sell signals (higher is better, e.g., >60%).
3. **Trading Decisions**:
- Combine signals with your own analysis (e.g., support/resistance, news).
- Use Golden/Death Cross for long-term trend confirmation.
- Avoid trading in high volatility (dashboard: “Volatility: High”) unless experienced
Best Practices
- **Timeframe Selection**:
- Use higher timeframes (e.g., 4H, Daily) for more reliable signals, especially for Golden/Death Cross.
- Lower timeframes (e.g., 5m, 15m) may produce more signals but with higher noise.
- **Confirm Signals**:
- Cross-check buy/sell signals with dashboard metrics (e.g., Trend, MFI, ADX).
- Use Golden/Death Cross as a trend filter rather than a standalone signal.
- **Risk Management**:
- Always use stop-losses and position sizing based on your risk tolerance.
- Avoid trading during high volatility unless part of your strategy.
- **Regular Updates**:
- Monitor TradingView for script updates from the author (KoKalito) to access new features or bug fixes.
Troubleshooting
- **No Signals**:
- Ensure the chart timeframe matches your settings (e.g., 60m for MTF Period).
- Check if filters (Volume, ADX) are too strict; try disabling them.
- **Dashboard Missing**:
- Verify “Dashboard Position” is set to Left or Right.
- Ensure dashboard metrics are enabled (e.g., Show Comp Score).
- **Alerts Not Triggering**:
- Confirm the alert condition is set to “NeuroFlow Pro Indicator” and the correct option (e.g., “Golden Cross Alert”).
- Check TradingView’s “Alerts” panel for errors or expired alerts.
- Reapply the indicator to the chart if it was recently updated.
- **EMA Crosses Not Showing**:
- Zoom in on the chart to see 🚀 (Golden Cross) or 💀 (Death Cross) symbols.
- Ensure EMA 50 and EMA 200 lengths are not identical (defaults: 50, 200).
Support
- **Author**: KoKalito (check TradingView profile for updates or contact info).
- **TradingView Community**: Post questions in the TradingView Pine Script community or forums.
- **Documentation**: Refer to TradingView’s Pine Script v5 documentation for advanced customization.
- **Risk Warning**: Trading involves risk. Use the indicator as a tool, not a guarantee of profits. Always conduct your own analysis and manage risk appropriately.
Happy trading with **NeuroFlow Pro Indicator**! 🚀
Atlas BBTlevelsAtlas BBTlevels is a custom Bollinger Bands-based indicator that measures the momentum and strength of price trends using the difference between short- and long-period Bollinger Bands. Inspired by John Bollinger’s official tools like BBTrend, %b, and Bandwidth, this script adds adjustable horizontal threshold levels so traders can mark important reaction zones on their charts.
It visualizes when markets may be entering overheated or exhausted conditions — either for trend continuation or potential reversals — and works across crypto, stocks, forex, spot, or perpetual charts.
How I personally use it:
I apply Atlas BBTlevels across three timeframes:
Low timeframe (LTF): 5m–15m
Mid timeframe (MTF): 1h–6h
High timeframe (HTF): 1d–2d
I review where the indicator historically spiked during major moves. For example, if the 4-hour chart shows repeated spikes to +10 or −10, I’ll set my positive and negative thresholds near those levels. This lets me anticipate zones where the market may reverse, cool off, or break out. I then compare LTF, MTF, and HTF levels to look for confluence. When multiple timeframes align near key levels, it gives me higher confidence to prepare for a trade — but I always combine this with price action and other confirmation tools.
How others can use it:
Identify overbought/oversold zones by adjusting the thresholds to match historical extremes on your chosen asset.
Use it as a trend strength gauge: when the histogram is near or above the top threshold, the trend is likely strong; when it fades back toward zero, momentum is weakening.
Watch for volatility expansions or contractions as the indicator accelerates away from or returns toward zero.
Combine it with price action (support/resistance, trendlines, chart patterns) or other momentum tools to reduce false signals.
Apply it across multiple timeframes to look for confluence — this increases reliability compared to using it on just one chart.
Important tips:
Positive spikes (above zero) usually indicate strength or overextension upward; negative spikes (below zero) show weakness or downward exhaustion.
You can reverse the color logic if you want (for example, highlight negative spikes as green for buy interest and positive spikes as red for sell interest) — this is just a visual preference.
This is not a standalone buy/sell system. Always combine it with other tools, market context, and risk management.
BTC Markup/Markdown Zones by Koenigsegg📈 BTC Markup/Markdown Zones
A handcrafted indicator designed to mark Bitcoin's most critical High Time Frame (HTF) structure shifts. This tool overlays true institutional-level Markup and Markdown Zones, selected manually after deep market review. Whether you're testing strategies or actively trading, this tool gives you the bigger picture at all times.
🔍 Key Features:
✅ HTF Markup & Markdown Zones
Every zone is manually selected — no indicators, no repainting. Just raw market history and real structure.
✅ Two Display Modes
• Background Zones — soft overlays with low opacity for visual context — with the option to increase opacity manually if desired.
• Start Candle Highlight — sharply highlighted candle marking the final pivot before a macro reversal.
✅ Custom Color Controls (Style Tab)
All visual styling lives in the Style tab, with clearly labeled fields:
• Markup Zone
• Markdown Zone
• Start Candle Highlight Markup
• Start Candle Highlight Markdown
✅ Minimal Input Section
Just one toggle: display mode. Everything else is kept clean and intuitive.
🧠 Purpose:
This script is made for any timeframe:
• Zoom into lower timeframes to know whether you're trading inside a Markup or Markdown
• Use it during strategy testing for true structural awareness
📅 Handpicked Macro Turning Points:
Each zone originates from a manually confirmed candle — the last meaningful candle before a shift in control between bulls and bears:
• FRI 19 AUG 2011 12PM – MARK DOWN
• THU 20 OCT 2011 12AM – MARK UP
• WED 10 APR 2013 12PM – MARK DOWN
• FRI 12 APR 2013 12PM – MARK UP
• SAT 30 NOV 2013 12AM – MARK DOWN
• WED 14 JAN 2015 12PM – MARK UP
• SUN 17 DEC 2017 12PM – MARK DOWN
• SAT 15 DEC 2018 12PM – MARK UP
• WED 14 APR 2021 4AM – MARK DOWN
• TUE 22 JUN 2021 12PM – MARK UP
• WED 10 NOV 2021 12PM – MARK DOWN
• MON 21 NOV 2022 8PM – MARK UP
• THU 14 MAR 2024 4AM – MARK DOWN
• MON 5 AUG 2024 12PM – MARK UP
• MON 20 JAN 2025 4AM – MARK DOWN
💡 Zones are manually updated by me after each new confirmed Markup or Markdown.
🧬 Fractal Structure for MTF Systems
Price is fractal — meaning the same principles of structure repeat across all timeframes. In Version 2, this tool evolves by introducing manually selected sub-zones inside each High Time Frame (HTF) Markup or Markdown. These sub-zones reflect Medium Timeframe (MTF) structure shifts, offering precision for traders who operate on both intraday and swing levels.
This makes the indicator ideal for low timeframe (LTF) Markup/Markdown awareness — whether you're managing 15m entries or building multi-timeframe confluence systems.
No auto-zones. No guesswork. Just clean, intentional structure division within the broader trend, handpicked for maximum clarity and edge.
💡 Pro Tip:
When price is inside a Markup Zone, shorting becomes riskier — you're trading against a macro bullish structure.
When inside a Markdown Zone, longing becomes riskier — you're fighting against confirmed bearish momentum.
Use this tool to stay aligned with the broader move, especially when zoomed into smaller timeframes or managing entries/exits during intraday setups.
📈 Markup Phase – Bullish Sentiment
Definition: A period where price makes higher highs and higher lows — the uptrend is in full force.
Why sentiment is bullish:
- Institutions and smart money are already positioned long.
- Public/institutional demand drives prices up.
- Momentum is supported by positive news, breakouts, and FOMO.
- Higher highs confirm buyers are in control.
📉 Markdown Phase – Bearish Sentiment
Definition: A period where price makes lower lows and lower highs — clear downtrend.
Why sentiment is bearish:
- Distribution has already occurred, and supply outweighs demand.
- Smart money is short or sidelined, waiting for deeper prices.
- Panic selling or trend-following traders add downside momentum.
- Lower lows confirm sellers are in control.
❌ Trading Against the Trend — Consequences:
-Reduced Probability of Success
-You’re fighting the dominant flow. Most participants are pushing in the opposite direction.
-Drawdowns & Stop-Outs
-Countertrend trades often get wicked or flushed before any meaningful move, especially without structure-based entries.
-Low Risk-Reward Ratio
-Trends offer sustained moves. Countertrend trades may have small take-profit zones or chop.
-Mental Drain & Doubt
-Fighting momentum causes anxiety, second-guessing, and emotional reactions.
-Missed Opportunities
-Focusing on fighting the trend makes you blind to the high-probability setups with the trend.
-Increased Transaction Costs
-More stop-outs and re-entries mean more fees, more friction.
-FOMO from Watching the Trend Run
-Entering countertrend means you might watch the trend explode without you.
-Confirmation Bias & Stubbornness
-Countertrend traders often look for reasons to justify staying in the wrong direction — leading to bigger losses.
🧠 Summary
In markup = bulls dominate → you swim with the current.
In markdown = bears dominate → going long is like pushing a rock uphill.
Trading with the trend is not just safer, it's smarter. The edge lives in momentum — not ego.
⚠️ Disclaimer
This indicator is for educational and analytical use only. It is not financial advice and should not be relied on for decision-making without personal analysis.
This is not a predictive tool. No indicator can forecast upcoming price movements.
What you see here is based purely on past market behavior — specifically, historical tops and bottoms that marked the start of confirmed reversals.
This script does not know where the next reversal begins, nor can it determine where a new Markup or Markdown starts or ends. It is designed to provide context, not prediction.
Always trade with responsibility and perform your own due diligence.
JuiceBox CRSI EnhancedJuiceBox “CRSI Enhanced” is a single-pane, zero-lag Connors RSI indicator supercharged with multi-theory lenses, Jurik smoothing, and multi-timeframe consensus.
1. Base Oscillator (JL-CRSI):
- Computes Connors RSI (3‐period price RSI, 2‐period streak RSI, 100-period percentile rank)
- Smooths it with a true Jurik Moving Average (configurable length & phase)
2. Sliding‐Window Divergence Filter:
- Detects classic price–indicator divergences over a recent look-back window
- Only lets signals fire when CRSI and price lows or highs diverge in the same direction
3. MTF Consensus (Ultra-product):
- For each lens, checks that at least 2 of {1m, 3m, 5m, 15m} agree on the same condition
- Ensures you see only the tightest, zero-lag multi-timeframe confirmation
4. Four “Lenses” (overlaid on the CRSI line):
Jerk (1ˢᵗ derivative) as a histogram, volume-weighted and ATR-scaled for adaptive sensitivity
Infinitesimal Divergence (2ⁿᵈ derivative) as a thin histogram, using a dynamic ε based on recent volatility
Zero-Cross markers (up/down labels) on the detrended CRSI midline, filtered by MTF consensus
Recurrence crosses, spotting 3-bar “W”/“M” micro-patterns that exceed a minimum amplitude and extend when volume surges
5. Classic RSI Reference Lines:
- 30, 50, 70 thresholds drawn with customizable solid, dashed or dotted styles
Trend Matrix Multi-Timeframe Dashboard(TechnoBlooms)Trend Matrix Multi-Timeframe Dashboard is a Minimalist Multi-Timeframe Trend Analyzer with Smart Indicator Integration. Trend Matrix MTF Dashboard is a clean, efficient, and visually intuitive trend analyzer built for traders who value simplicity without compromising on technical depth.
This dashboard empowers you to track trend direction across multiple timeframes using a curated set of powerful technical indicators—all from one compact visual panel. The design philosophy is simple: eliminate clutter, highlight trend clarity, and accelerate your decision-making process.
Key Features
✅ Minimalist Design with Maximum Insight
A compact dashboard view designed for clean charts and focused trading
Optimized layout shows everything you need—nothing you don’t
✅ Multi-Timeframe Access at a Glance
Instantly read the trend direction of selected indicators on multiple timeframes (e.g., 15m, 1h, 4h, 1D)
Customize the timeframe stack to fit scalping, intraday, swing, or positional strategies
✅ Robust Technical Indicators Built In
Each one is hand-picked for trend reliability:
MACD – Momentum and crossover confirmation
RSI – Overbought/oversold and directional shift
EMA – Dynamic support/resistance and trend bias
Bollinger Bands – Volatility structure and trend containment
PVT – Volume-Weighted Trend Confirmation
Supertrend – Price-following trend tracker
✅ Live Updates & Lightweight Performance
Built to update efficiently on every bar close
Minimal performance impact even with multiple timeframes active
By offering multi-timeframe (MTF) access to proven trend-following indicators, Trend Matrix helps you confidently align with the market’s dominant direction—without jumping between charts or analyzing indicators one by one.
This indicator offers customizable settings. The trader can choose the input parameters timeframes as per the choice.
Trend Matrix Multi-Timeframe Dashboard helps traders to identify trend based on technical indications. Trader can refer this while taking trading decisions.
🧠 Ideal For
Scalpers who need higher timeframe confirmation
Swing traders identifying clean entries aligned with the macro trend
Trend followers seeking clarity before committing capital
Price action & SMC traders validating market structure setups
Beginners who want a high-level trend guide without messy indicators
BBMA Strategy - EXT CSD CSM MHV RE CodesBINANCE:BTCUSD
Below is a detailed guide for using and interpreting the "BBMA Strategy - Enhanced EXT CSD CSM with Subplot" indicator. This guide is designed to be added to the description of the indicator when publishing it on TradingView. It provides clear instructions for users on how to apply the indicator, interpret its signals, and understand its features, including the multi-timeframe analysis and subplot table.
BBMA Strategy - Enhanced EXT CSD CSM with Subplot: User Guide
Overview
The "BBMA Strategy - Enhanced EXT CSD CSM with Subplot" is a comprehensive trading indicator built on the Bollinger Bands Moving Average (BBMA) framework. It combines multiple technical analysis tools—Bollinger Bands, Moving Averages (MAHI and MALO), EMA, ATR, volume analysis, RSI, MACD, market structure, and candlestick patterns—to identify high-probability trading setups. The indicator supports five key BBMA setups: EXT (Extreme), CSD (Consolidation), CSM (Continuation Setup Movement), RE (Re-Entry), and MHV (Market High Volatility).
This enhanced version includes:
Multi-Timeframe (MTF) Analysis: Confirms signals across a Lower Timeframe (LTF) and Higher Timeframe (HTF) for stronger trade validation.
Subplot Table: Displays signal status ("Active" or "Upcoming") and MTF confirmations in a clear table format.
Market Structure and Volume Filters: Incorporates Break of Structure (BOS), RSI divergence, and volume conditions to filter out low-probability trades.
Customizable Settings: Adjust Bollinger Bands, MA periods, timeframes, and more to suit your trading style.
This indicator is suitable for traders of all levels and can be used across various markets (e.g., forex, crypto, stocks) and timeframes (1M to 1D).
How to Use the Indicator
1. Add the Indicator to Your Chart
Open TradingView and load the chart of your chosen asset (e.g., BTCUSD, EURUSD, XAUUSD).
Go to the Pine Editor, paste the indicator code, and click "Add to Chart."
The indicator will overlay on your chart, displaying Bollinger Bands, Moving Averages, EMA, and signal labels. A subplot table will appear at the bottom of the chart.
2. Configure the Settings
The indicator provides customizable inputs to tailor it to your trading preferences. Access the settings by clicking the gear icon next to the indicator name on your chart:
Bollinger Bands Settings:
BB Period: Default is 20. Adjust the lookback period for Bollinger Bands.
BB Deviations: Default is 2. Adjust the standard deviation for the bands.
MAHI Settings (Moving Averages on High):
MAHI 5 Period: Default is 5. Period for the shorter MA on highs.
MAHI 10 Period: Default is 10. Period for the longer MA on highs.
MALO Settings (Moving Averages on Low):
MALO 5 Period: Default is 5. Period for the shorter MA on lows.
MALO 10 Period: Default is 10. Period for the longer MA on lows.
EMA Settings:
EMA Period: Default is 50. Adjust the period for the Exponential Moving Average.
ATR Settings:
ATR Period: Default is 14. Period for the Average True Range.
ATR SMA Period: Default is 14. Period for the ATR smoothing.
Timeframe Settings:
Minor HTF: Default is 1h. Select the minor higher timeframe for trend confirmation.
Major HTF: Default is 4h. Select the major higher timeframe for trend confirmation.
Lower TF for Confirmation: Default is 5m. Select the lower timeframe for signal confirmation.
Market Structure Settings:
Market Structure Lookback: Default is 10. Adjust the lookback period for swing highs/lows in market structure analysis.
3. Select Your Chart Timeframe
The indicator works on any timeframe from 1 minute (1M) to 1 day (1D).
For best results, align your chart timeframe (Current Timeframe, CTF) with the LTF and HTF settings:
Example: If CTF is 15m, set LTF to 5m and HTF to 1h or 4h.
This ensures proper multi-timeframe alignment for signal confirmation.
Indicator Components
Main Chart Elements
Bollinger Bands (BB): Plotted as three lines (upper, middle, lower) to identify volatility and potential reversal zones.
Upper Band: Blue line.
Middle Band: Black line (basis).
Lower Band: Blue line.
MAHI (Moving Averages on High): Two weighted moving averages on highs to detect trend direction.
MAHI 5: Green line.
MAHI 10: Lime line.
MALO (Moving Averages on Low): Two weighted moving averages on lows to confirm trend direction.
MALO 5: Red line.
MALO 10: Orange line.
EMA (50-period): Purple line to identify the overall trend.
Signal Labels: Appear on the chart when a setup is confirmed:
EXT Buy: Green upward arrow (reversal buy at BB lower band).
EXT Sell: Red downward arrow (reversal sell at BB upper band).
CSM Buy: Teal upward arrow (continuation buy above BB middle).
CSM Sell: Maroon downward arrow (continuation sell below BB middle).
RE Buy: Aqua upward arrow (re-entry buy between BB lower and middle).
RE Sell: Fuchsia downward arrow (re-entry sell between BB upper and middle).
MHV: Orange label (high volatility breakout after consolidation).
CSD: Yellow diamond (consolidation signal).
Subplot Table
Located at the bottom of the chart, the table summarizes signal status across three timeframes:
CTF (Current Timeframe): Shows "Active" (signal confirmed) or "Upcoming" (signal forming) for each setup.
LTF (Lower Timeframe): Displays a checkmark (✔) if the signal is confirmed on the LTF.
HTF (Higher Timeframe): Displays a checkmark (✔) if the signal is confirmed on the HTF.
Columns represent the five BBMA setups: EXT Buy, EXT Sell, CSD, CSM Buy, CSM Sell, RE Buy, RE Sell, and MHV.
Interpreting the Signals
1. EXT (Extreme) Setup
EXT Buy (Green Arrow):
Condition: Price touches or breaks below the BB lower band, closes above it, with high ATR volatility, strong volume, and additional confirmations (e.g., hammer candle, RSI oversold, MACD bullish, MAHI/MALO crossover, or bullish divergence).
Interpretation: A potential reversal buy signal. Look for confirmation in the subplot table (LTF and HTF rows).
Action: Consider a long position if LTF and HTF confirm (✔ in both rows). Use the BB middle or upper band as a target.
EXT Sell (Red Arrow):
Condition: Price touches or breaks above the BB upper band, closes below it, with high ATR volatility, strong volume, and additional confirmations (e.g., shooting star candle, RSI overbought, MACD bearish, MAHI/MALO crossunder, or bearish divergence).
Interpretation: A potential reversal sell signal.
Action: Consider a short position if LTF and HTF confirm. Use the BB middle or lower band as a target.
2. CSD (Consolidation) Setup
CSD (Yellow Diamond):
Condition: BB width is narrow (below its SMA), low ATR volatility, small candles, and no MAHI/MALO crossovers.
Interpretation: The market is consolidating, often preceding a breakout (e.g., MHV).
Action: Avoid trading during CSD unless preparing for an MHV breakout. Monitor the subplot for "Upcoming" MHV signals.
3. CSM (Continuation Setup Movement)
CSM Buy (Teal Arrow):
Condition: Price is above the BB middle, MAHI crossover, MALO crossover or MACD bullish, price above EMA 50, with additional confirmations (e.g., bullish engulfing or MACD bullish).
Interpretation: A continuation buy signal in an uptrend.
Action: Enter a long position if LTF and HTF confirm. Target the BB upper band or recent swing highs.
CSM Sell (Maroon Arrow):
Condition: Price is below the BB middle, MAHI crossunder, MALO crossunder or MACD bearish, price below EMA 50, with additional confirmations (e.g., bearish engulfing or MACD bearish).
Interpretation: A continuation sell signal in a downtrend.
Action: Enter a short position if LTF and HTF confirm. Target the BB lower band or recent swing lows.
4. RE (Re-Entry) Setup
RE Buy (Aqua Arrow):
Condition: Price is between the BB lower and middle bands, MAHI crossover, MALO crossover or MACD bullish, price above EMA 50, with additional confirmations (e.g., bullish engulfing or MACD bullish).
Interpretation: A re-entry buy signal after a pullback in an uptrend.
Action: Enter a long position if LTF and HTF confirm. Target the BB middle or upper band.
RE Sell (Fuchsia Arrow):
Condition: Price is between the BB upper and middle bands, MAHI crossunder, MALO crossunder or MACD bearish, price below EMA 50, with additional confirmations (e.g., bearish engulfing or MACD bearish).
Interpretation: A re-entry sell signal after a pullback in a downtrend.
Action: Enter a short position if LTF and HTF confirm. Target the BB middle or lower band.
5. MHV (Market High Volatility) Setup
MHV (Orange Label):
Condition: Follows a CSD signal, with expanding BB width, high ATR volatility, strong volume, and MAHI/MALO crossover or crossunder.
Interpretation: A breakout signal after consolidation, indicating high volatility and potential for a strong move.
Action: Trade in the direction of the breakout (e.g., buy if MAHI crossover, sell if MAHI crossunder). Confirm with LTF and HTF. Target significant levels like recent swing highs/lows.
6. Multi-Timeframe Confirmation
LTF Confirmation: A checkmark (✔) in the LTF row indicates the signal is also present on the lower timeframe (e.g., 5m). This adds confidence to the trade.
HTF Confirmation: A checkmark (✔) in the HTF row indicates alignment with the higher timeframe trend (e.g., 4h). This confirms the signal's strength.
Strongest Signals: Look for signals with both LTF and HTF confirmations (✔ in both rows). These have the highest probability of success.
7. Upcoming Signals
The CTF row in the subplot table may show "Upcoming" for a setup (e.g., EXT Buy: Upcoming). This indicates the setup is forming but not yet confirmed.
Action: Monitor these setups closely. They may turn "Active" on the next candle if conditions are met.
Trading Tips
Trend Alignment: Use the EMA 50 and market structure (is_uptrend) to ensure trades align with the overall trend. For example, prioritize CSM Buy signals in an uptrend.
Risk Management:
Set stop-losses below recent swing lows (for buys) or above recent swing highs (for sells).
Use the BB middle or opposite band as a target for most setups.
Avoid Overtrading: Focus on signals with LTF and HTF confirmations to filter out noise.
Timeframe Selection:
Scalping: Use 1m or 5m CTF with 1m LTF and 15m HTF.
Day Trading: Use 15m or 1h CTF with 5m LTF and 4h HTF.
Swing Trading: Use 4h or 1D CTF with 1h LTF and 1D HTF.
Backtesting: Test the indicator on historical data for your chosen asset and timeframe to understand its performance.
Alerts
The indicator includes built-in alerts for each setup:
EXT Buy/Sell: Triggers when an EXT signal is confirmed.
CSD: Triggers during consolidation.
CSM Buy/Sell: Triggers for continuation signals.
RE Buy/Sell: Triggers for re-entry signals.
MHV: Triggers for high volatility breakouts. To set up alerts:
Right-click on the chart and select "Add Alert."
Choose the condition (e.g., "BBMA EXT Buy").
Set your preferred notification method (e.g., email, SMS).
Limitations
Lagging Indicators: The indicator uses moving averages and other lagging tools, which may delay signals in fast-moving markets.
False Signals: Like all indicators, it can produce false signals, especially in choppy markets. Use LTF/HTF confirmations to filter trades.
Timeframe Dependency: Ensure your CTF, LTF, and HTF are properly aligned to avoid conflicting signals.
Multi-Timeframe PSAR Indicator ver 1.0Enhance your trend analysis with the Multi-Timeframe Parabolic SAR (MTF PSAR) indicator! This powerful tool displays the Parabolic SAR (Stop and Reverse) from both the current chart's timeframe and a higher timeframe, all in one convenient view. Identify potential trend reversals and set dynamic trailing stops with greater confidence by understanding the broader market context.
Key Features:
Dual Timeframe Analysis: Simultaneously visualize the PSAR on your current chart and a user-defined higher timeframe (e.g., see the Daily PSAR while trading on the 1-hour chart). This helps you align your trades with the dominant trend.
Customizable PSAR Settings: Fine-tune the PSAR calculation with adjustable Start, Increment, and Maximum values. Optimize the indicator's sensitivity to match your trading style and the volatility of the asset.
Independent Timeframe Control: Choose to display either or both the current timeframe PSAR and the higher timeframe PSAR. Focus on the information most relevant to your analysis.
Clear Visual Representation: Distinct colors for the current and higher timeframe PSAR dots make it easy to differentiate between the two. Quickly identify potential entry and exit points.
Configurable Colors You can easily change colors of Current and HTF PSAR.
Standard PSAR Logic: Uses the classic Parabolic SAR algorithm, providing a reliable and widely-understood trend-following indicator.
lookahead=barmerge.lookahead_off used in the security function, there is no data leak or repainting.
Benefits:
Improved Trend Identification: Spot potential trend changes earlier by observing divergences between the current and higher timeframe PSAR.
Enhanced Risk Management: Use the PSAR as a dynamic trailing stop-loss to protect profits and limit potential losses.
Greater Trading Confidence: Make more informed decisions by considering the broader market trend.
Reduced Chart Clutter: Avoid the need to switch between multiple charts to analyze different timeframes.
Versatile Application: Suitable for various trading styles (swing trading, day trading, trend following) and markets (stocks, forex, crypto, etc.).
How to Use:
Add to Chart: Add the "Multi-Timeframe PSAR" indicator to your TradingView chart.
Configure Settings:
PSAR Settings: Adjust the Start, Increment, and Maximum values to control the PSAR's sensitivity.
Multi-Timeframe Settings: Select the desired "Higher Timeframe PSAR" resolution (e.g., "D" for Daily). Enable or disable the display of the current and/or higher timeframe PSAR using the checkboxes.
Interpret Signals:
Current Timeframe PSAR: Dots below the price suggest an uptrend; dots above the price suggest a downtrend.
Higher Timeframe PSAR: Provides context for the overall trend. Agreement between the current and higher timeframe PSAR strengthens the trend signal. Divergences may indicate potential reversals.
Trade Management:
Use PSAR dots as dynamic trailing stop.
Example Use Cases:
Confirming Trend Strength: A trader on a 1-hour chart sees the 1-hour PSAR flip bullish (dots below the price). They check the MTF PSAR and see that the Daily PSAR is also bullish, confirming the strength of the uptrend.
Identifying Potential Reversals: A trader sees the current timeframe PSAR flip bearish, but the higher timeframe PSAR remains bullish. This divergence could signal a potential pullback within a larger uptrend, or a warning of a more significant reversal.
Trailing Stops: A trader enters a long position and uses the current timeframe PSAR as a trailing stop, moving their stop-loss up as the PSAR dots rise.
Disclaimer: The Parabolic SAR is a lagging indicator and may produce false signals, especially in ranging markets. It is recommended to use this indicator in conjunction with other technical analysis tools and risk management strategies. Past performance is not indicative of future results.
Ichimoku MTF (best MTF 4H - Entry 15M)The Ichimoku Cloud is a collection of technical indicators that show support and resistance levels, as well as momentum and trend direction. It does this by taking multiple averages and plotting them on a chart. It also uses these figures to compute a “cloud” that attempts to forecast where the price may find support or resistance in the future.
The technical indicator shows relevant information at a glance by using averages.
The overall trend is up when the price is above the cloud, down when the price is below the cloud, and trendless or transitioning when the price is in the cloud.
Charles G. Koonitz. “Ichimoku Analysis & Strategies: The Visual Guide to Spot the Trends in Stock Market, Cryptocurrency and Forex Using Technical Analysis and Cloud Charts," Tripod Solutions Inc., 2019.
When Leading Span A is rising and above Leading Span B, this helps to confirm the uptrend and the space between the lines is typically colored green. When Leading Span A is falling and below Leading Span B, this helps confirm the downtrend. The space between the lines is typically colored red in this case.1
Traders will often use the Ichimoku Cloud as an area of support and resistance depending on the relative location of the price. The cloud provides support/resistance levels that can be projected into the future. This sets the Ichimoku Cloud apart from many other technical indicators that only provide support and resistance levels for the current date and time.
Traders should use the Ichimoku Cloud in conjunction with other technical indicators to maximize their risk-adjusted returns. For example, the indicator is often paired with the relative strength index (RSI), which can be used to confirm momentum in a certain direction. It’s also important to look at the bigger trends to see how the smaller trends fit within them. For example, during a very strong downtrend, the price may push into the cloud or slightly above it, temporarily, before falling again. Only focusing on the indicator would mean missing the bigger picture that the price was under strong longer-term selling pressure.
Crossovers are another way that the indicator can be used. Watch for the conversion line to move above the base line, especially when the price is above the cloud. This can be a powerful buy signal. One option is to hold the trade until the conversion line drops back below the base line. Any of the other lines could be used as exit points as well.
Multi-timeframe 24 moving averages + BB+SAR+Supertrend+VWAP █ OVERVIEW
The script allows to display up to 24 moving averages ("MA"'s) across 5 timeframes plus two bands (Bollinger Bands or Supertrend or Parabolic SAR or VWAP bands) each from its own timeframe.
The main difference of this script from many similar ones is the flexibility of its settings:
- Bulk enable/disable and/or change properties of several MAs at once.
- Save 3 of your frequently used templates as presets using CSV text configurations.
█ HOW TO USE
Some use examples:
In order to "show 31, 50, 200 EMAs and 20, 100, 200 SMAs for each of 1H, 4H, D, W, M timeframes using blue for short MA, yellow for mid MA and red for long MA" use the settings as shown on a screenshot below.
In order to "Show a band of chart timeframe MA's of lengths 5, 8, 13, 21, 34, 55, 100 and 200 plus some 1H, 4H, D and W MAs. Be able to quickly switch off the band of chart tf's MAs. For chart timeframe MA's only show labels for 21, 100 and 200 EMAs". You can set TF1 and TF2 to chart's TF and set you fib MAs there and configure fixed higher timeframe MAs using TF3, TF4 and TF5 (e.g. using 1H, D and W timeframes and using 1H 800 in place of 4H 200 MA). However, quicker way may be using CSV - the syntax is very simple and intuitive, see Preset 2 as it comes in the script. You can easily switch chart tf's band of MAs by toggling on/off your chart timeframe TF's (in our example, TF1 and TF2).
The settings are either obvious or explained in tooltips.
Note 1: When using group settings and CSV presets do not forget that individual setting affected will no have any effect. So, if some setting does not work, check whether it is overridden with some group setting or a CSV preset.
Note 2: Sometimes you can notice parts of MA's hanging in the air, not lasting up to the last bar. This is not a bug as explained on this screenshot:
█ FOR DEVELOPERS
The script is a use case of my CSVParser library, which in turn uses Autotable library, both of which I hope will be quite helpful. Autotable is so powerful and comprehensive that you will hardly ever wish to use normal table functions again for complex tables.
The indicator was inspired by Pablo Limonetti's url=https://www.tradingview.com/script/nFs56VUZ/]Multi Timeframe Moving Averages and Raging @RagingRocketBull's # Multi SMA EMA WMA HMA BB (5x8 MAs Bollinger Bands) MAX MTF - RRB
MTF_Super_Uzun_v5_AlarmThis Pine Script code is an indicator named "MTF_Super" (Multi-Timeframe Super) designed for TradingView. It plots exponential moving averages (EMAs) of different lengths on multiple timeframes (MTF). Users can select various time resolutions for the EMAs, such as 4 hours, 12 hours, 1 day, 1 week, 1 month, 6 months, and 3 months.
The indicator calculates EMAs based on the chosen length parameter (`ma_len`) and source data (`src`). It then requests the corresponding security data for each selected timeframe (`ferit`, `eser1`, `eser2`, etc.) and plots the EMAs with different colors for each timeframe.
By using this indicator, traders can analyze the trend of a security on multiple timeframes simultaneously, helping them make more informed trading decisions.
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Bu Pine Script kodu, TradingView için tasarlanmış "MTF_Super" (Çok Zaman Dilimli Süper) adlı bir göstergeyi oluşturur. Birden fazla zaman diliminde (MTF) farklı uzunluklardaki üssel hareketli ortalamaları (EMA) çizer. Kullanıcılar 4 saatlik, 12 saatlik, 1 günlük, 1 haftalık, 1 aylık, 6 aylık ve 3 aylık gibi çeşitli zaman çözünürlükleri için EMA'ları seçebilirler.
Göstergenin hesaplamaları seçilen uzunluk parametresi (`ma_len`) ve kaynak veri (`src`) üzerinden yapılır. Daha sonra her seçilen zaman dilimi için karşılık gelen güvenlik verisi (`ferit`, `eser1`, `eser2` vb.) istenir ve EMA'lar farklı renklerle her zaman dilimi için çizilir.
Bu göstergeyi kullanarak, tüccarlar bir güvenliğin trendini aynı anda birden fazla zaman diliminde analiz edebilir ve daha bilinçli ticaret kararları alabilirler.
Flow of Trade [Orderflowing]Flow of Trade | Supply & Demand Zones | Turtle Soup Reversal Pattern Detection (+)
Built using Pine Script V5.
Introduction
The Flow of Trade indicator is a trading tool designed to leverage the principles of Supply and Demand, along with automatic “Turtle Soup” reversal pattern detection.
This indicator is made for traders who aim to identify potential market reversal points, supported by multi-timeframe analysis for a more complete market overview.
Core Concepts and Innovation
Supply and Demand (S&D) Zones
At the heart of the Flow of Trade indicator is the concept of Supply & Demand, along with Market Imbalance, which is sound for identifying the Supply and Demand zones.
The Turtle Soup Reversal Pattern Detection
Named after the ICT-derived trading pattern, the Flow of Trade script tries to find and plot these "failed breakout" reversals based on the user input configuration.
Inputs
The Flow of Trade indicator offers customization, allowing traders to fit the tool to their specific analysis needs and trading style.
Zone Ratio: Determines the scale of imbalance required for a candle to be considered for a zone. A higher value indicates a need for a more significant imbalance, making zones less frequent but potentially more reliable.
Zone Extension: Specifies how far to the right of the latest bar the zones should extend, providing a visual projection of potential future support and resistance areas.
Display LTF Zones: Enables the visualization of zones from lower timeframes on the current chart, offering a multi-timeframe perspective on supply and demand areas.
Supply and Demand Zone Colors: Customize the colors for supply (red) and demand (blue) zones, including opacity for chart visibility.
Border Color: Adjust the border color to find a suitable view of the zones. Optionally disable the S&D colors with 0% opacity and only keep border colors for a border-only view.
Text Display Settings: Options to display high/low quotes information within zones.
Timeframe Options: Select which timeframes to include in the analysis, from shorter periods like 30M to longer ones like Daily (D) or Weekly (W), allowing for a complete view across different timeframes.
How It Works
Imbalance Calculation.
The indicator looks at consecutive candles to measure the magnitude of price movement and volume imbalances.
A significant imbalance between buying and selling pressure is what defines a potential supply or demand zone.
Supply Zones Identification.
A supply zone is flagged when there's imbalance favoring sellers, typically after a notable price drop. It looks for a consolidation phase where the price fails to achieve a higher high, suggesting an area where sellers might regain control.
Demand Zones Identification.
A demand zone is marked in the presence of a buyer-dominated imbalance, especially after a significant price rally.
The indicator seeks periods of consolidation where the price doesn't make a lower low, indicating potential buyer accumulation.
Multi-Timeframe Imbalance Analysis.
The indicator extends its imbalance analysis across multiple timeframes of identified zones.
This multi-layered approach allows traders to discern the strength and relevance of supply and demand zones within a broader multi-timeframe market context.
Turtle Soup Reversal Pattern Detection.
The Turtle Soup pattern detection is fitted into the imbalance analysis.
The indicator scans for setups within or near the identified supply and demand zones, providing an additional layer of confirmation for potential reversals.
The Turtle Soup Pattern Logic
Attempts at detecting false breakouts within the zones. For example, a bearish Turtle Soup pattern emerges when the price dips below a demand zone but quickly reverses, indicating a failed breakout and potential upward momentum.
Integration and Practical Application
The Flow of Trade indicator integrates these elements, marking out S&D zones while also scanning for reversal patterns within or adjacent to these zones.
The added multi-timeframe analysis can help the traders understanding of broader market context, enabling you to find the relative strength of MTF zones and see how reversal setups perform in the specific asset.
Strategic Entry and Exit Points: Use the confluence of S&D zones and Turtle Soup patterns to find possible entry and exit points.
Risk Management: Potentially leverage the defined zones for setting stop-loss levels and managing trade risk based on supply and demand concepts.
Confirmation and Confluence: Apply multi-timeframe analysis to validate S&D zones and Turtle Soup patterns.
Example of High/Low (H/L) Quotes from Zones:
Example of MTF S&D Zones (4H/D/W):
Conclusion
The Flow of Trade indicator is of time-tested market principles and along with innovative pattern recognition, designed to offer traders a customizable method for more systematized view of supply and demand, along with reversal signals.
Its multi-timeframe analysis can be useful for decision-making and systemizing your trading layout.
Disclaimer
While the Flow of Trade Indicator is a useful tool for analysis, it is important for traders to remember that no single tool can guarantee success.
Past performance is not indicative of future results.
Do not solely rely on the signals from the Flow of Trade indicator.
The indicator is meant to be used as confluence to an existing strategy.
Forex Master Pattern Screener 2Overview
The Forex Master Pattern Screener 2 is based on the Master Pattern, which includes contraction, expansion, and trend phases. This indicator is designed to identify and visualize market volatility, market phases, multi-timeframe contractions, liquidity points, and pivot calculations. It provides a clear image of the market's expansion and contraction phases. It's based on an alternative form of technical analysis that reveals the psychological patterns of financial markets through three phases.
Unlike the other master pattern indicators that just use highs and lows and aren't as accurate for finding contractions, this one uses actual measures of volatility to find extremely low levels of volatility and has customizable parameters depending on what you want to do.
What is the Forex Master Pattern?
The Forex Master Pattern is a framework that revolves around understanding market cycles, comprising the three main phases: contraction, expansion, and trend.
Contraction Phase: During this phase, the market has low volatility and is consolidating within a narrow range. Institutional volume tends to be low, and it's suggested to avoid trade entries during this period.
Expansion Phase: Volatility starts to increase, and there start to be bigger moves in price. Institutional traders start accumulating positions in this phase, and they might manipulate prices to draw in retail traders, creating liquidity for their own buying or selling goals.
Trend Phase: This final phase completes the market cycle. Institutional traders begin taking profits, leading to a reversal. This triggers panic among retail traders, resulting in liquidations and stops. This generates liquidity for institutional traders to profit, leaving retail traders with overvalued positions.
Value Line:
The "value line" acts as the fair value zone or the neutral belief zone where buyers and sellers agree on fair value. It can be likened to the center of gravity and is created during contraction zones.
Applications:
Identifying these phases and understanding the value lines can help traders determine the market's general direction and make better trading decisions.
This isn't a strategy but a concept explaining market behavior, allowing traders to develop various strategies based on these principles
The contractions, which are based on volatility calculations, can help you find out when big moves will occur, known as expansions.
How traders can use this indicator
1. Identifying Market Phases:
Contraction Phase: Look for periods where the market has low volatility and is contracting, indicated by a narrow range and highlighted by the contraction box. During this phase, traders prepare for a breakout but usually avoid making new trades until a clearer trend emerges.
Expansion Phase: When the indicator signals an expansion, it suggests that the market is moving out of consolidation and may be beginning a new trend. Traders might look for entry points here, anticipating a continuation of the trend.
Trend Phase: As the market enters this phase, traders look for signs of sustained movement in one direction and consider positions that benefit from this trend.
2. Multi-Timeframe Analysis:
By looking at multiple timeframes, traders can get a broader view of the market. For instance, a contraction phase in a shorter timeframe within an expansion phase in a longer timeframe might suggest a pullback in an overall uptrend. This indicator comes with a MTF contraction screener that is customizable.
2. Fair Value Lines:
The fair value acts like a "center of gravity.". Traders could use this as a reference point for understanding market sentiment and potential reversal points. This indicator shows these values in the middle of the contraction boxes.
3. Volatility Analysis:
This indicator's volatility settings can help traders understand the market's current volatility state. High volatility indicates a more active market with larger, faster moves, while low volatility might suggest caution and tighter stop-losses or take-profits. If volatility is contracting, then an expansion is imminent. This indicator shows the volatility with percentile ranks in 0-100 values and also alerts you when volatility is contracting, aka the contraction phase.
Volatility Calculations:
This indicator uses a geometric standard deviation to measure volatility based on historical price data. This metric quantifies the variability of price changes over a specified lookback period and then computes a percentile rank within a defined sample period. This percentile calculation helps evaluate the current volatility compared to historical levels.
Based on the percentile rank, the indicator sets thresholds to determine whether the current volatility is within a range considered "contraction" or not. For example, if there are really low levels of volatility on the percentile rank, then there is currently a contraction phase. The indicator also compares the volatility value against a moving average, where values above the current moving average value signal the expansion phase.
Multi-Timeframe Analysis (MTF):
This indicator comes with a multi-timeframe table that shows contractions for 5 different timeframes, and the table is customizable.
Bands:
This indicator comes with bands that are constructed based on the statistical calculations of the standard deviation applied to the log-transformed closing prices. It is commonly assumed that the distribution of prices fits some type of right-skewed distribution. To remove most of the skewness, you can use a log transformation , which makes the distribution more symmetrical and easier to analyze, thus the use of these bands . These bands are in the 2 standard deviation range. You can use these bands to trade at extreme levels. The band parameter is based on the contraction volatility lookback, which is in the Volatility Model Settings tab.
Ways the bands could be used with the contractions:
1. Identifying Breakout trades:
Contraction Zones: These zones indicate periods of low volatility where the market is consolidating. There are usually narrow price ranges, which are considered a build-up phase before a significant price move in any direction.
Bands: When the contraction zone occurs, you might notice the bands tightening around the price on smaller lookback periods, reflecting the decreased volatility. A continuous widening of the bands could then signal the beginning of an expansion phase, indicating a potential breakout opportunity.
2. Enhancing Trade Timing:
Before the Breakout: During the contraction phase, the bands might move closer together, reflecting the lower volatility. You can monitor this phase closely and prepare for a potential expansion. The bands can provide additional confirmation; for instance, a price move toward one of the bands might show an extreme occurrence and might show what the direction of the breakout could be.
After the breakout: Once the price breaks out of the contraction zone and goes to the expansion phase, and if it coincides with the bands widening significantly, it could reinforce the strength and potential sustainability of the new trend, providing a clearer entry.
3. Price-touching bands during a contraction:
If the price repeatedly touches one of the bands during a contraction phase, it might suggest a buildup of pressure in that direction. For example, if the price is consistently touching the upper band even though the bands are narrow, it might suggest bullish pressure that could occur once the expansion phase begin.
4. Price at the band extreme levels during Expansion:
If the price is at the extreme levels of the bands once the expansion phase occurs, it might indicate unsustainable levels and a low probability of the price continuing beyond those levels. Potentially signaling that a reversal will occur. Some trades could use these extremes to place entries during the expansion phases.
Liquidity Levels:
This script comes with liquidity points, whose functionality goes towards identifying pivotal levels in price action, focusing on swing highs and swing lows in the market. These points represent areas where significant buying (for swing lows) or selling (for swing highs) activity has occurred, implying potential levels or resistance in the price movement.
These liquidity points, often identified as highs and lows, are points where market participants have shown interest in the past. These levels can act as psychological indications where traders might place orders, leading to increased trading activity when these levels are approached or breached. When used with the Forex Master Pattern phases, liquidity levels can enhance trades placed with this indicator. For instance, if the market is expanding and approaches a significant liquidity level, there might be a higher chance of a breakout or reversal, showing a possible entry or exit point.
Liquidity Levels in the Contraction Phase:
Accumulation and Distribution: During the contraction phase, liquidity levels can indicate where huge positions are likely accumulating or distributing quietly. If price is near a known liquidity level and in a contraction phase, it might suggest that a large market player is building a position in anticipation of the next move.
Breakout Points: Liquidity levels can also give clues about where price could go after the breakout from the contraction phase. A break above a liquidity level might indicate a strong move to come as the market overcomes significant selling pressure.
Liquidity Levels in Expansion Phase:
Direct Confirmation: As the expansion phase begins, breaking through liquidity levels can confirm the new trend's direction. If the price moves past these levels with huge volume, it might indicate that the market has enough momentum to continue the trend.
Target Areas: Liquidity levels can act as target areas during the expansion phase. Traders using this indicator could look to take profits if the price approaches these levels, possibly expecting a reaction from the market.
Expected Move BandsExpected Moves
The Expected Move of a security shows the amount that a stock is expected to rise or fall from its current market price based on its level of volatility or implied volatility. The expected move of a stock is usually measured with standard deviations.
An Expected Move Range of 1 SD shows that price will be near the 1 SD range 68% of the time given enough samples.
Expected Move Bands
This indicator gets the Expected Move for 1-4 Standard Deviation Ranges using Historical Volatility. Then it displays it on price as bands.
The Expected Move indicator also allows you to see MTF Expected Moves if you want to.
This indicator calculates the expected price movements by analyzing the historical volatility of an asset. Volatility is the measure of fluctuation.
This script uses log returns for the historical volatility calculation which can be modelled as a normal distribution most of the time meaning it is symmetrical and stationary unlike other scripts that use bands to find "reversals". They are fundamentally incorrect.
What these ranges tell you is basically the odds of the price movement being between these levels.
If you take enough samples, 95.5% of the them will be near the 2nd Standard Deviation. And so on. (The 3rd Standard deviation is 99.7%)
For higher timeframes you might need a smaller sample size.
Features
MTF Option
Parameter customization
Apeiron Fair Value Bands ProWHAT IS IT
The Apeiron Fair Value Bands Pro is an indicator that estimates the fair value area of an asset and provides levels of interest and likely reaction. It was created to determine fair value. Knowing fair value allows traders and investors to determine when an asset is at a premium or at a discount, which allows them to make more informed decisions about when to buy or sell. Fair value is constantly changing, and sometimes waiting for it to develop each session or month can lead to missed opportunities. Therefore, it is useful to have an estimate of fair value at all times.
HOW DOES IT WORK?
The simplest way to have a constant estimation of fair value could probably be a Moving Average. By averaging previous prices, we get the average price which ideally reflects where most traders have been interested in participating in the market. This isn’t necessarily the most accurate fair value estimation you can get, however using different types of moving averages and combining them allows for a better estimation of the FV. It is also important to consider that price is always moving away and back into the MA, so in order to determine FV, we must allow an area for price to move within which we can consider the FVA. By taking into account volatility, previous relevant levels and the MA, the Apeiron Bands determine a FVA, where in theory price should stay most of the time.
According to the normal distribution, the price should stay within 1 standard deviation (SD) around 68% of the time and within 2 SD around 95% of the time during range periods (when data is most symmetrical). In the case of the Apeiron Bands, based on backtest data, the price tends to stay within 1 FVA around 75% of the time, within 2 FVA around 90% of the time during strong trends, around 80% and 95% correspondingly during weak trends, and >85% and >95% during ranges.
Additionally, based on backtesting data, pivots occur on average at around 1 FVA ±0.05 (This does not necessarily mean that most pivots occur at 1 FVA, however, the fact the average is 1±0.05 implies there is relevance to this level).
Finally, in order to account for volatility and the slight differences between symbols, a customizable tolerance ribbon is added to the moving average (MA) and each plotted band.
This data remains the same throughout all timeframes and types of market (tested on cryptocurrencies, forex pairs, stocks, indices and futures)
Examples of the time spent within the FVAs:
Examples of average pivot FVA :
HOW TO USE IT?
Identify potential reversal levels at premium and discount prices:
Knowing that price stays within 1 FVA the majority of time and inside 2 FVA most of the time, as well that in average pivots occur around 1 FVA, it can be inferred that both the Bands representing 1 & 2 FVA (B1 & B2) work as potential reversal levels as shown in the examples. This can be very good in confluence with other strategies to spot trade entries. If this is done taking into account if the asset is at a premium or discount allows for a higher probability of being on the right side of the market.
For example, during an uptrend price sometimes goes below it’s MA only to then continue up. In this particular case, the bands would provide an ideal entry at a discount to ride the uptrend.
During ranges, the bands can be used to identify potential pivots for each move up and down, and because of their adaptive nature they can be a great confluence to which horizontal levels are more likely to act as support and resistance.
For intraday traders, the bands can help them identify assets at one of the extremes and potentially even inside one of the bands, indicating that price is likely to reverse from there. Then they can use LTF to find ideal entries or catch the trend with the bands.
For swing traders and investors, using the bands can be a good way to scan different assets to find extended prices to either side and potential entry levels
Identify emerging trends:
Sometimes price will have a minimum reaction to the bands or no reaction at all. Knowing that price spends most of the time inside the bands, the fact that it breaks out of the FVA indicates that a new trend is likely to begin on that particular TF and price will try to establish a new FVA. Once there is a sustained PA outside the bands, a new trend can be assumed (Deviations happen as well, so it is very important to be aware of higher TF as well).
Other times, price will start sliding between B1 and B2, slowly displacing the MA. This can also be an indication for the start of a trend.
Identify exhaustions (potential tops & bottoms):
I call exhaustions to scenarios when price keeps going up/down but it fails to keep pushing the FVA with it. This indicates weakness in the trend and that a new FVA is being established. This often leads to a potential reversal or correction that marks the top or bottom of a move. Not only that, but when the new FVA is established price tends to go and test the other side of the FVA. Identifying exhaustions and being patient for them to form can potentially provide a great entry and RR ratio.
Exhaustions also happen after strong rallies or crashes, and in these cases it is advised to wait for price to re-enter its FVA, providing more clarity and often even better entries.
Exhaustions appear in all timeframes and symbols, however they can take some time to develop and it is important to be patient with them. And as always, it is highly recommended to also check for confluence on different TF.
8H Bands:
4H Bands:
Additional Features:
- Additional Bands:
The Apeiron Fair Value Bands can plot up to 4 Bands. Each fully customizable. The preset and suggested use is to have B1 & B2 and add thinner aid bands B0.5 & B1.5 which represent the middle of 1 & 2 FVA. These are not the main levels of interest but they can prove useful as support and resistance many times. Besides using mid levels, using fib values (0.618 & 1.618) can work even better on some assets and give better reactions.
NATGAS 1H Bands - Fib Mids:
The extra bands can also be used for FVA 3 and FVA 4, which can be useful during extremely volatile periods or on very LTF
- Multi Timeframe & precision:
The bands work on very low TF as well as High TF. Sometimes data can be limited on HTF and the bands will not have enough to be calculated and many LTF are very volatile and don’t work as well. In these scenarios, the bands have a setting called “Precision” under the preferences section that allows the user to decrease or increase the amount of data taken into account. This allows for optimization on any TF and even on any symbol.
GOLD 1min Bands:
EURUSD 5D Bands:
VIX 1H Bands:
- Multi Bands Confluence:
Combining 2 different length FV bands can be very useful to find confluence levels and spot trends and reversals earlier. For example, on the 15 min TF, using a 50 MA with only 1 FVA at the same time as a 200 MA with all Band can be ideal to keep track of short term moves and their micro-trends while always considering the longer trend which might be different that the short term one. As well, having MTF band confluence can indicate that a level is more likely to signal a reversal if reached.
- Multi Timeframe Confluence:
One of the best ways to use the bands is by using it in confluence with itself in other TFs, when price moves sharply into a confluent level given by multiple TFs’ Bands, it is more likely for price to find support and resistance and/or reverse there. Ex. 5 Min B2, 15 Min B1.5 & 30 Min B1, if price reaches this confluent level and shows weakness, this is likely a short term reversal level.
NATGAS MTF Bands:
How to set it up and customize it: (Explain how they are important)
- The MA Lab:
The Apeiron Bands utilizes a MA Lab to generate the most customizable MAs possible. It allows combining up to 3 different MAs, where each MA can be single, double or triple (same process as creating a DEMA or TEMA). As well each MA can be given more or less weight in the calculation of the final MA. Besides it’s features, the MA Lab allows the user to select only one MA and stick to basic settings and MA types if preferred.
When to use the MA Lab:
If you wanted a reactive MA (EMA) which was also volume weighted, you can then combine it with a VWMA and get a VW-EMA.
If you want a more reactive VWMA you can double or triple it. Then in order to make it smoother you combine it with a SMMA. Finally maybe you want to use it to follow trends closely so you also combine it with a HMA to take momentum into consideration.
- Presets:
The multiplier for each band, the width of each tolerance ribbon and the individual colors of each band can all be individually selected. However, to make the user's experience as smooth as possible, FVA multipliers, Ribbon width and colors can be preset and modified all at the same time with the most basic and ideal settings. This allows for quick customization options as well as personalized detailed custom settings.
- Show only Lower or Upper bands:
This setting is meant for scouting for discounts and premiums across the board. By only showing bands on one side it cleans up the chart and makes it easier to spot important levels on only one side of the price. This can be very useful when looking for swing opportunities or when following a particular trend to only focus on potential entries for it.
MATIC 4H Bands showing only bottom bands:
AMZN 1D Bands showing only bottom bands:
Settings used in indicator preview:
- Custom MA: 200 EMA/200 WMA/200 SMMA (200 EWSMMA)
- Band 1: 0.5 - Ribbon Width: 5 - Color: Blue
- Band 2: 1 - Ribbon Width: 10 - Color: Green
- Band 3: 1.5 - Ribbon Width: 5 - Color: Blue
- Band 4: 2 - Ribbon Width: 10 - Color: Red
Disclaimer:
The bands CAN but are NOT meant to be used as a standalone indicator. Previous performance does not guarantee future performance. The bands are an analytical tool, not a signal indicator. While certain scenarios can be interpreted as a signal, never follow them blindly and always use them in confluence with other analysis, systems or indicators.
Directional Volume EStimate from Price Action (RedK D_VESPA)The "Directional Volume EStimate from Price Action (RedK D_VESPA)" is another weapon for the VPA (Volume Price Analysis) enthusiasts and traders who like to include volume-based insights & signals to their trading. The basic concept is to estimate the sell and buy split of the traded volume by extrapolating the price action represented by the shape of the associated price bar. We then create and plot an average of these "estimated buy & sell volumes" - the estimated average Net Volume is the balance between these 2 averages.
D_VESPA uses clear visualizations to represent the outcomes in a less distracting and more actionable way.
How does D_VESPA work?
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The key assumption is that when price moves up, this is caused by "buy" volume (or increasing demand), and when the price moves down, this is due to "selling" volume (or increasing supply). Important to note that we are making our Buy/sell volume estimates here based on the shape of the price bar, and not looking into lower time frame volume data - This is a different approach and is still aligned to the key concepts of VPA.
Originally this work started as an improvement to my Supply/Demand Volume Viewer (V.Viewer) , I ended up re-writing the whole thing after some more research and work on VPA, to improve the estimation, visualization and usability / tradability.
Think of D_VESPA as the "Pro" version of V.Viewer -- and please go back and review the details of V.Viewer as the root concepts are the same so I won't repeat them here (as it comes to exploring Balance Zone and finding Price Convergence/Divergence)
Main Features of D_VESPA
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- Update Supply/Demand calculation to include 2-bar gaps (improved algo)
- Add multiple options for the moving average (MA type) for the calculation - my preference is to use WMA
- Add option to show Net Volume as 3-color bars
- Visual simplification and improvements to be less distracting & more actionable
- added options to display/hide main visuals while maintaining the status line consistency (Avg Supply, Avg Demand, Avg Net)
- add alerts for NetVol moving into Buy (crosses 0 up) or Sell (crosses 0 down) modes - or swing from one mode to the other
(there are actually 2 sets of alerts, one set for the main NetVol plot, and the other for the secondary TF NetVol - give user more options on how to utilize D_VESPA)
Quick techie piece, how does the estimated buy/sell volume algo work ?
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* per our assumption, buy volume is associated with price up-moves, sell volume is associated with price down-moves
* so each of the bulls and bears will get the equivalent of the top & bottom wicks,
* for up bars, bulls get the value of the "body", else the bears get the "body"
* open gaps are allocated to bulls or bears depending on the gap direction
The below sketch explains how D_VESPA estimates the Buy/Sell Volume split based on the bar shape (including gap) - the example shows a bullish bar with an opening gap up - but the concept is the same for a down-bar or a down-gap.
I kept both the "Volume Weighted" and "2-bar Gap Impact" as options in the indicator settings - these 2 options should be always kept selected. They are there for those who would like to experiment with the difference these changes have on the buy/sell estimation. The indicator will handle cases where there is no volume data for the selected symbol, and in that case, it will simply reflect Average Estimated Bull/Bear ratio of the price bar
The Secondary TF Est Average Net Volume:
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I added the ability to plot the Estimate Average Net Volume for a secondary timeframe - options 1W, 1D, 1H, or Same as Chart.
- this feature provides traders the confidence to trade the lower timeframes in the same direction as the prevailing "market mode"
- this also adds more MTF support beyond the existing TradingView's built-in MTF support capability - experiment with various settings between exposing the indicator's secondary TF plot, and changing the TF option in the indicator settings.
Note on the secondary TF NetVol plot:
- the secondary TF needs to be set to same as or higher TF than the chart's TF - if not, a warning sign would show and the plot will not be enabled. for example, a day trader may set the secondary TF to 1Hr or 1Day, while looking at 5min or 15min chart. A swing/trend trader who frequently uses the daily chart may set the secondary TF to weekly, and so on..
- the secondary TF NetVol plot is hidden by default and needs to be exposed thru the indicator settings.
the below chart shows D_VESPA on a the same (daily) chart, but with secondary TF plot for the weekly TF enabled
Final Thoughts
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* RedK D_VESPA is a volume indicator, that estimates buy/sell and net volume averages based on the price action reflected by the shape of the price bars - this can provide more insight on volume compared to the classic volume/VolAverage indicator and assist traders in exploring the market mode (buyers/sellers - bullish/bearish) and align trades to it.
* Because D_VESPA is a volume indicator, it can't be used alone to generate a trading signal - and needs to be combined with other indicators that analysis price value (range), momentum and trend. I recommend to at least combine D_VESPA with a variant of MACD and RSI to get a full view of the price action relative to the prevailing market and the broader trend.
* I found it very useful to take note and "read" how the Est Buy vs Est Sell lines move .. they sort of "tell a story" - experiment with this on your various chart and note the levels of estimate avg demand vs estimate avg supply that this indicator exposes for some very valuable insight about how the chart action is progressing. Please feel free to share feedback below.
The Strat [LuxAlgo]The Strat indicator is a full toolkit regarding most of the concepts within "The Strat" methodology with features such as candle numbering, pivot machine gun (PMG) highlighting, custom combo highlighting, and various statistics included.
Alerts are also included for the detection of specific candle numbers, custom combos, and PMGs.
🔶 SETTINGS
Show Numbers on Chart: Shows candle numbering on the chart.
Style Candles: Style candles based on the detected number. Only effective on non-line charts and if the script is brought to the front.
🔹 Custom Combo Search
Combo: User defined combo to be searched by the script. Combos can be composed of any series of numbers including (1, 2, -2, 3), e.g : 2-21. No spaces or other characters should be used.
🔹 Pivot Machine Gun
Show Labels: Highlight detected PMGs with a label.
Min Sequence Length: Minimum sequence length of consecutive higher lows/lower highs required to detect a PMG.
Min Breaks: Minimum amount of broken previous highs/lows required to detect a PMG.
Show Levels: Show levels of the broken highs/lows.
🔹 Pivot Combos
Pivot Lookback: Lookback period used for detecting pivot points.
Right Bars Scan: Number of bars scanned to the right side of a detected pivot.
Left Bars Scan: Number of bars scanned to the left side of a detected pivot.
🔹 Dashboard
Show Dashboard: Displays statistics dashboard on chart.
Numbers Counter: Displays the numbers counter section on the dashboard.
Pivot Combos: Displays pivots combo section on the dashboard.
%: Display the percentage of detected pivot combos on the dashboard instead of absolute numbers.
Pivot Combos Rows: Number of rows displayed by the "Pivots Combo" dashboard section.
Show MTF: Showa MTF candle numbering on the dashboard.
Location: Location of the dashboard on the chart.
Size: Size of the displayed dashboard.
🔶 USAGE
This script allows users with an understanding of The Strat to quickly highlight elements such as candle numbers, pivot machine guns, and custom combos. The usage for these concepts is given in the sub-sections below.
🔹 Candle Numbers
The Strat assigns a number to individual candles, this number is determined by the current candle position relative to the precedent candle, these include:
Number 1 - Inside bar, occurs when the previous candle range engulfs the current one.
Number 2 Up - Upside Directional Bar, occurs when the current price high breaks the previous high while the current low is lower than the previous high.
Number 2 Down - Downside Directional Bar, occurs when the current price low breaks the previous low while the current high is higher than the previous low.
Number 3 - Outside bar, occurs when the current candle range engulfs the previous one.
The script can highlight the number of a candle by using labels but can also style candles by depending on the candle number. Inside bars (1) only have their candle wick highlighted, directional bars (2) (-2) only have their candle body highlighted. Outside bars have their candle range highlighted.
Note that downside directional bars are highlighted with the number -2.
Users can see the total amount of times a specific candle number is detected on the historical data on the dashboard available within the settings, as well as the number of times a candle number is detected relative to the total amount of detected candle numbers expressed as a percentage.
It is also possible to see the current candle numbers returned by multiple timeframes on the dashboard.
🔹 Searching For Custom Combos
Combos are made of a sequence of two or more candle numbers. These combos can highlight multiple reversals/continuation scenarios. Various common combos are documented by The Strat community.
This script allows users to search for custom combos by entering them on the Combo user setting field.
When a user combo is found, it is highlighted on the chart as a box highlighting the combo range.
🔹 Pivot Combos
It can be of interest to a user to display the combo associated with a pivot high/low. This script will highlight the location of pivot points on the chart and display its associated combo by default. These are based on the Pivot Combo lookback and not displayed in real-time.
Users can see on the dashboard the combos associated with a pivot high/low, these are ranked by frequency.
🔹 Pivot Machine Gun (PMG)
Pivot Machine Guns (PMG)s describe the scenario where a single price variation breaks the value of multiple past successive higher lows/lower highs. This can highlight a self-exciting behavior, where even more past successive higher lows/lower highs get broken.
Users can select the minimum sequence length of successive higher lows/lower highs required for a PMG to be detected, as well the amount of these successive higher lows/lower highs that must be broken.
