Oliver Kell Cycle of Price Action• Overview 
  
 
  Oliver Kell Cycle of Price Action   codifies Oliver Kell’s growth-trading workflow: 10/20 EMA rhythm, CAN SLIM trend filters, and the “money pattern” wedge pop.
   Identifies where institutional money typically accumulates by tracking velocity vs. EMAs, dry-up volume, and stacked moving averages.
   Adapts visually to light/dark charts with an institutional palette, compact labels, and a top-right dashboard summarizing state and telemetry.
 
   Core Methodology 
  
 
  10/20 EMA stack drives directional bias, while 50/200 SMAs enforce CAN SLIM trend alignment and perfect-stack detection.
   Extension engine flags capitulation and exhaustion as % distance from the 10 EMA paired with volume climaxes.
   Base detector monitors multi-week contractions near the EMAs, tracking tightening range and optional volume dry-ups before breakout.
   Market context (optional) requires the chosen benchmark to trend above its 21/50 EMAs and the instrument’s relative strength line to rise.
 
   Primary Signals 
 
   Wedge Pop: tight pullback or extension reset beneath the EMAs that snaps back above both with confirming volume.
   Base & Break: qualifying base with sufficient duration and (optionally) dry-up volume that clears the pivot on volume expansion.
   EMA Crossback: low-risk pullback to the 10/20 EMA stack after trend confirmation, highlighting secondary entries.
   Extension Markers: ▲/▼ icons annotate exhaustion and reversal extremes, including distance readouts in tooltips.
 
   Controls & Customization 
 
 
   Sensitivity group lets you mandate extension-first wedges and dry-up confirmation or relax them to surface more opportunities.
   Volume analysis inputs manage surge, dry-up multipliers, and participation ratio; adjust to suit the symbol’s liquidity profile.
   Context toggles enable short-side patterns, benchmark symbol selection, and relative strength smoothing for broader compatibility.
   Institutional styling panel offers theme presets and color controls so the script blends with professional chart layouts.
 
 Alert Framework 
 
   Built-in alerts fire for every entry (wedge pop/drop, EMA crossbacks, base break) and for key exit governance (20 EMA violation, vertical extension) plus new exhaustion/reversal extremes.
   Matching alertcondition() hooks expose these events in TradingView’s picker; configure one-click alerts with custom messages.
 
   Usage Notes 
 
   Default settings target daily growth equities; for intraday or crypto, relax the base length and volume filters or disable market context.
   Combine with broader CAN SLIM screening (earnings/industry strength) and always verify signals on the weekly timeframe.
   Use the dashboard to confirm market context, relative strength, and MA alignment before acting on highlighted patterns.
 
Analisis Trend
LANS Multi-Timeframe Trend Indicator📈 Displays real-time Bullish/Bearish trends across 1m, 5m, 15m, 1h & 1D using customizable EMA crossovers. Color-coded panel shows individual & overall trends for quick multi-timeframe confirmation.
Ideal for scalpers, day traders, and swing traders:
Quickly check short-term vs long-term trend alignment
Filter trades based on multi-timeframe confirmation
Combine with support/resistance, price action, and volume analysis
⚠ Disclaimer
This indicator is for educational purposes only. It should not be used as standalone financial advice. Always combine with proper risk management and trading strategy before entering trades.
#trend #ema #multitimeframe #dashboard #bullish #bearish #trading #panel #indicator #lans #scalping #daytradin
STRFV - Trend Chaser with No Trade ZoneA robust, multi-filter trend-following system designed specifically for NIFTY and Indian markets, combining price action, volatility, and market regime awareness to reduce whipsaws while capturing strong trends. The indicator dynamically adapts to market conditions using real VIX data and enforces disciplined entry/exit rules based on confirmed signals and official trading hours.
Adaptive Timeframe Guidance
Recommends 15-minute chart when VIX ≥ 13 (high volatility)
Recommends 45-minute chart when VIX < 13 (low volatility)
Uses real-time NSE:INDIAVIX data (daily close)
 Whipsaw-Resistant Logic 
SuperTrend (ATR 10, Multiplier 3.0) for stable trend direction
Range Filter (100-period smoothed median) to confirm price structure
2-bar confirmation required for all entries (avoids false breakouts)
ADX ≥ 25 ensures only strong trends are traded
 Smart Trade Management 
Entries only during NSE session (9:15 AM – 3:30 PM IST)
Exits based purely on price action (no premature exits due to volatility drops)
No forced reversals — positions held until trend truly end
Designed For
 
 Traders who want fewer, higher-quality signals
 Markets with volatile regime shifts (like NIFTY)
 Avoiding choppy, sideways whipsaws without missing major moves
 
  Philosophy 
 “Be patient in noise, aggressive in trend.” 
 This system stays out during uncertainty (yellow candles) and commits fully when all conditions align — letting winners run while cutting losers quickly.  
 How to Use 
Apply to NIFTY futures or spot
Check dashboard:
If VIX ≥ 13 → use 15-min chart
If VIX < 13 → use 45-min chart
Only take trades when:
All ✔ align under “Long” or “Short”
“Session” = ✔
Candle turns green/red (not yellow)
This indicator is not a black box — it’s a transparent, rule-based framework that puts you in control, with full visibility into why every signal appears (or doesn’t).
Kameniczki RSI MASTERKAMENICZKI RSI MASTER is a professional trading indicator based on RSI (Relative Strength Index) with advanced features for precise identification of trading opportunities. The indicator combines classic RSI analysis with intelligent Zig Zag system and smoothing techniques for maximum signal accuracy.
Features:
RSI Analysis with Gradient Display
The indicator displays RSI in the lower panel with color gradient - blue for overbought zones and pink for oversold zones. RSI is calculated with adjustable period (recommended 14 for daily charts, 7-9 for shorter timeframes).
Zig Zag Signal System
Intelligent Zig Zag system generates BUY and SELL signals based on RSI extremes. The system automatically identifies swing points and creates clear visual markings with blue BUY and pink SELL labels.
Smoothing Moving Average
Advanced smoothing techniques supporting SMA, EMA, SMMA, WMA and VWMA. MA is displayed in price chart with dual-color system - blue for rising trend, pink for falling trend.
Bollinger Bands Integration
Optional Bollinger Bands around RSI and price for volatility identification and potential breakouts. Bands automatically adapt to market conditions.
Comprehensive Alert System
Extensive alert system includes Zig Zag signals, RSI levels, MA direction changes, BB touches and combined strong signals for maximum trading accuracy.
Real-Time Trend Analysis
Instant trend identification with priority for actual price direction. System displays current trend (BUY/SELL/WAIT) and risk analysis with visual table.
Risk Management
Automatic volatility and risk level analysis with percentage expression. System identifies high and low risk periods for safer trading.
Recommended Timeframes:
-  1H, 4H, 1D - optimal for swing trading
- 15M, 30M - for day trading
- 1W - for position trading
Success Rate:
- Zig Zag signals: 75-85% accuracy
- Combined strong signals: 80-90% accuracy
- Trend identification: 70-80% accuracy
- Overall system success: 75-85% with proper settings
⚠️ IMPORTANT WARNING: Zig Zag signals may cause repainting on lower timeframes. For live trading, use higher timeframes (15M, 1H+) or wait for signal confirmation to avoid false signals.
The indicator is suitable for all types of traders - from beginners to professionals, with detailed parameter adjustment options according to individual needs.
RBLR - GSK Vizag AP IndiaThis indicator identifies the Opening Range High (ORH) and Low (ORL) based on the first 15 minutes of the Indian equity market session (9:15 AM to 9:30 AM IST). It draws horizontal lines extending these levels until market close (3:30 PM IST) and generates visual signals for price breakouts above ORH or below ORL, as well as reversals back into the range.
Key features:
- **Range Calculation**: Captures the high and low during the opening period using real-time bar data.
- **Line Extension**: Lines are dynamically extended bar-by-bar within the session for clear visualization.
- **Signals**: 
  - Green triangle up: Crossover above ORH (potential bullish breakout).
  - Red triangle down: Crossunder below ORL (potential bearish breakout).
  - Yellow labels: Reversals from breakout levels back into the range.
- **Labels**: "RAM BAAN" marks the ORH (inspired by a precise arrow from the Ramayana), and "LAKSHMAN REKHA" marks the ORL (inspired by a protective boundary line from the same epic).
- **Customization**: Toggle signals on/off and select line styles (Dotted, Dashed, Solid, or Smoothed, with transparency for Smoothed).
The state-tracking logic prevents redundant signals by monitoring if price remains outside the range after a breakout. This helps users observe range-bound behavior or directional moves without built-in alerts. This indicator is particularly useful for day trading on longer intraday timeframes (e.g., 15-minute charts) to identify session-wide trends and avoid noise in shorter frames. For best results, apply on intraday timeframes on NSE/BSE symbols. Note that lines and labels are limited to the script's max counts to avoid performance issues on long histories.
**Disclaimer**: This indicator is for educational and informational purposes only and does not constitute financial, investment, or trading advice. Trading in financial markets involves significant risk of loss and is not suitable for all investors. Past performance is not indicative of future results. Users should conduct their own research, consider their financial situation, and consult with qualified professionals before making any investment decisions. The author and TradingView assume no liability for any losses incurred from its use.
ZynAlgo Elite🧭 ZynAlgo Elite™ — Adaptive Multi-Factor Trade Management System
 
 ZynAlgo Elite™  is an advanced, rule-based trading toolkit that helps traders identify potential trend continuations and reversals while managing risk in a structured and objective way.
It combines multi-timeframe momentum analysis, sensitivity filtering, and dynamic risk management visualization to create a complete trading framework that adapts to changing market conditions.
Rather than predicting price, the indicator focuses on confirmation, structure, and control — giving traders a visual, rule-driven perspective on where opportunities may exist and how to manage them consistently.
 ⚙️ CORE CONCEPT
 
Markets evolve through phases of strength, exhaustion, and consolidation.
ZynAlgo Elite™ helps traders interpret these phases by monitoring:
 
 Trend bias and momentum  across multiple timeframes.
 Dynamic sensitivity control  to filter minor noise or emphasize stronger signals.
 Real-time visualization of entry, stop-loss, and target levels  to assist in disciplined trade management.
 
All logic is handled internally to preserve the integrity of the system and ensure smooth, high-performance visualization.
 🧩 FEATURES
 
 
 Adaptive Sensitivity System:  choose between Medium and Strong confirmation for higher-timeframe alignment.
 
 Configurable Signal Strength:  select Fast, Normal, or Strong to adjust signal frequency and strictness.
 
 Multi-Timeframe Confluence:  optional higher-timeframe filtering to enhance entry quality.
 
 Integrated Risk-Reward Framework:  visualize up to three dynamic take-profit levels with fixed or ATR-based stop-loss placement.
 
 Breakeven & Trailing Stop Controls:  automatically lock in progress once key targets are reached.
 
 Trade Visualization Suite:  clear labeling of entries, TP/SL levels, and trailing lines for complete situational awareness.
 
 Telegram / Discord Alert Integration:  fully compatible with custom alert routing for remote trade monitoring.
 
 Lightweight Design:  optimized for both intraday and swing trading environments.
 
 🧠 HOW TO USE
 
Add the indicator to your chart and adjust the Signal Type (Fast / Normal / Strong) depending on desired strictness.
Select Sensitivity Level to control how many higher-timeframes are used for confirmation.
Enable Risk Management Options — choose fixed-ratio or ATR-based stop-losses and up to three take-profit targets.
Optional Breakeven / Trailing Stop: activate to automatically manage positions once TP1 or key levels are reached.
Visual Layout:
 
 Green = bullish context
 Red = bearish context
 Blue = neutral or breakeven state
 
Use alerts or color changes as visual confirmations, not as guaranteed buy/sell signals.
The indicator is intended as a decision-support framework that complements existing analysis — not a stand-alone signal generator.
📊 INTERPRETATION GUIDE
Visual Element	Meaning
🟢 Green Bars / Labels	Potential bullish confirmation based on current parameters
🔴 Red Bars / Labels	Potential bearish confirmation
🟦 Blue Lines	Active breakeven or adjusted stop level
🟩 TP1 / TP2 / TP3 Lines	Projected take-profit levels based on your configured risk-reward
🟠 Trailing Line	Dynamic trailing-stop position when enabled
⚪ White Line	Entry reference for current trade setup
These components allow traders to observe trade development step-by-step and adapt risk exposure visually.
 ⚙️ CUSTOMIZATION OPTIONS
 
Sensitivity (0 – 4): controls the number of higher timeframes included for confirmation.
Signal Type: Fast / Normal / Strong — affects overall strictness of conditions.
Stop-Loss Mode: ATR or By Pips, both adjustable by length and multiplier.
Take-Profit Levels: enable up to three TP targets with fixed or dynamic ratios.
Trailing Stop: choose between ATR or Chandelier methods.
Colors & Labels: customize bullish/bearish palettes and label positions.
Performance Display: optional internal trade statistics for self-review.
All parameters can be modified in the settings panel without altering code.
 💡 BEST PRACTICES
 
Use ZynAlgo Elite™ as part of a broader trading process — it supports structured analysis but does not replace human judgment.
Combine with key support/resistance zones, volume analysis, or market context for confluence.
Adjust sensitivity and signal strength depending on volatility and timeframe.
Regularly review your chart behavior and fine-tune inputs to maintain consistency across instruments.
Keep chart visuals clean by disabling unused layers.
 🔶 CONCLUSION
 
We believe that success lies in the association of the user with the indicator, opposed to many traders who have the perspective that the indicator itself can make them become profitable. The reality is much more complicated than that. The aim is to provide an indicator comprehensive, customizable, and intuitive enough that any trader can be led to understand this truth and develop an actionable perspective of technical indicators as support tools for decision making. You can see the Author's instructions below to get instant access to this indicator
 🔶 RISK DISCLAIMER
 
Trading is risky & most day traders lose money. All content, tools, scripts, articles, & education provided by ZynAlgo are purely for informational & educational purposes only. Past performance does not guarantee future results.
SLO Pro-J-Algo # Smart Liquidity & OTE Analysis Tool
## OVERVIEW
This indicator is designed for traders who utilize institutional trading concepts, specifically liquidity sweeps and optimal trade entry (OTE) zones, combined with session-based market structure analysis. It identifies potential market manipulation points where stop losses are likely clustered, and highlights high-probability entry zones based on Fibonacci retracements.
The tool combines four main analytical components that work synergistically to identify trading opportunities aligned with smart money behavior.
---
## CORE CONCEPTS & METHODOLOGY
### 1. TRADING SESSIONS ANALYSIS
**What it does:**
The indicator tracks three major forex trading sessions with customizable time zones:
- **Asian Session** (Default: 01:00-13:00 UTC+4) - Typically characterized by range-bound price action
- **London Session** (Default: 11:00-20:00 UTC+4) - High volatility period with increased institutional activity
- **New York Session** (Default: 17:00-00:00 UTC+4) - Overlaps with London creating peak liquidity
**How it works:**
- Automatically highlights active sessions with colored background boxes
- Draws session high/low lines which often act as intraday support/resistance
- Identifies session overlaps (e.g., London-NY overlap) where volatility and liquidity are highest
- Color-codes the price bars during overlaps to alert traders to increased opportunity periods
- Displays real-time session status (🟢 Open / 🔴 Closed) for quick reference
**Trading Application:**
Session highs and lows frequently become liquidity targets. The indicator helps traders anticipate when price might sweep these levels before continuing in the original direction. Session overlaps are prime times for major moves as multiple institutional players are active simultaneously.
---
### 2. EXTERNAL LIQUIDITY SWEEPS
**What it does:**
Identifies when price "sweeps" or breaks beyond significant swing highs and lows where stop losses are typically clustered. These sweeps often precede reversals or continuations after liquidity is collected.
**How it works:**
- Scans the previous 20 bars (configurable) to identify swing high and low points
- Marks these levels as "buyside liquidity" (above highs) or "sellside liquidity" (below lows)
- Monitors price action using three detection methods:
  * **Wick Break:** Any candle wick extending beyond the liquidity level
  * **Close Break:** Candle body closing beyond the level (stronger confirmation)
  * **Full Retrace:** Price breaks the level then closes back inside the range (classic liquidity grab)
- Uses an ATR-based buffer to avoid false signals from minor price spikes
- Confirms sweeps only after a configurable number of confirmation bars to reduce repainting
**The Logic Behind It:**
Institutional traders need liquidity to fill large orders. Stop losses clustered above swing highs and below swing lows provide this liquidity. When these levels are swept, it often indicates smart money is entering positions in the opposite direction, causing reversals.
**Visual Representation:**
- Blue horizontal lines mark buyside liquidity zones (above price)
- Gray horizontal lines mark sellside liquidity zones (below price)
- Labels indicate when liquidity has been swept (✓) or remains active
- Historical zones are maintained for context (configurable display limit)
---
### 3. INTERNAL LIQUIDITY DETECTION
**What it does:**
Identifies equal highs (EQH) and equal lows (EQL) within recent price action - levels that have been tested multiple times without breaking. These represent internal liquidity pools that price often revisits before making larger moves.
**How it works:**
- Examines the most recent 8 bars (configurable) for price levels that occur multiple times
- Uses an ATR-based threshold (default 0.1% of ATR) to determine if highs or lows are "equal"
- Requires minimum 3 occurrences (configurable) of the same level to qualify as internal liquidity
- Tracks both the creation and sweeping of these internal levels
- Differentiates between wick breaks and close breaks for sweep confirmation
**The Concept:**
Unlike external liquidity at swing points, internal liquidity represents recent stop clusters and pending orders within the current price structure. Identifying these levels helps traders anticipate short-term price targets and potential reversal points before larger directional moves.
**Why This Matters:**
Price often needs to clear internal liquidity before making sustained moves to external liquidity levels. This creates a "roadmap" of where price is likely to go in sequence, improving trade timing.
**Visual Representation:**
- Cyan lines mark internal buyside liquidity (equal highs)
- Orange lines mark internal sellside liquidity (equal lows)
- Dashed or solid lines based on user preference
- Labels show when internal levels are swept
---
### 4. OPTIMAL TRADE ENTRY (OTE) ZONES
**What it does:**
Calculates and displays Fibonacci retracement zones (0.618-0.786) from recent swing points, representing "discount" or "premium" areas where institutional traders often enter positions after a liquidity sweep or structure break.
**How it works:**
- Identifies swing highs and lows using a 10-bar lookback period (configurable)
- Calculates three key Fibonacci levels:
  * **0.618** - The "golden ratio" retracement (most significant)
  * **0.705** - Mid-point between 0.618 and 0.786
  * **0.786** - Deep retracement level (square root of 0.618)
- Optionally requires a structure break before displaying OTE zones
- Dynamically extends zones as new price action develops
- Tracks whether price has entered the zone (✅) or exited without filling (❌)
- Displays up to 2 most recent zones (configurable) to avoid chart clutter
**The Methodology:**
OTE zones represent areas where price is at a "discount" (for longs) or "premium" (for shorts) relative to the recent swing. After a liquidity sweep or structure break, institutional traders often wait for retracements into these zones before entering, as it offers better risk-to-reward ratios.
**Combining with Liquidity:**
The most powerful setups occur when:
1. External liquidity is swept
2. Price retraces into an OTE zone
3. Internal liquidity is present as a target
This confluence suggests smart money activity and high-probability trade opportunities.
**Visual Representation:**
- Shaded blue zone between 0.618 and 0.786 levels
- Three horizontal lines showing key Fibonacci levels with different colors/styles
- Labels (🎯) indicate bullish or bearish OTE zones
- Entry (✅) and exit (❌) status for each zone
---
## WHY THESE FEATURES WORK TOGETHER
This indicator combines these four components because they represent different stages of institutional trading behavior:
1. **Session Timing** - Identifies WHEN institutional activity is highest
2. **Liquidity Sweeps** - Shows WHERE smart money is collecting liquidity
3. **OTE Zones** - Highlights WHERE institutional entries likely occur after sweeps
4. **Internal Liquidity** - Provides SHORT-TERM targets for profit-taking or add-ons
Rather than using each concept in isolation, this integration creates a complete market structure framework. For example:
- A buyside liquidity sweep during London open → 
- Followed by a retrace into a bullish OTE zone → 
- With internal sellside liquidity as the initial target
This sequence represents a complete high-probability trade setup aligned with smart money principles.
---
## ANTI-REPAINTING FEATURES
**The Repainting Problem:**
Many indicators that identify patterns on historical data repaint their signals when live trading, showing signals that weren't actually there in real-time. This creates a false sense of accuracy.
**Our Solution:**
- **Confirmation Bars Setting:** Signals only appear after X bars have confirmed the pattern (default: 2 bars)
- **Marked Confirmation:** Labels show "C" when using confirmed signals
- **Trade-off:** More confirmation = less repainting but slightly delayed signals
- **User Control:** Traders can toggle between real-time signals (faster but may repaint) and confirmed signals (delayed but reliable)
---
## KEY CUSTOMIZATION OPTIONS
### Master Controls
- Toggle each major feature on/off independently
- Combine only the features relevant to your trading style
### Display Settings
- Adjust lookback periods for each component
- Control number of historical zones displayed
- Customize colors, line styles, and transparency
- Show/hide labels and session names
- Configure text sizes for different screen setups
### Detection Sensitivity
- **Sweep Detection:** Choose between wick breaks, close breaks, or full retraces
- **ATR Buffer:** Add distance requirements to confirm sweeps (reduces false signals)
- **Equal Level Threshold:** Adjust how close levels must be to qualify as "equal"
- **Confirmation Bars:** Balance between signal speed and reliability
### Alert System
- Session open/close notifications
- Liquidity sweep alerts
- OTE zone entry alerts
- Configurable alert frequency and types
---
## HOW TO USE THIS INDICATOR
### Basic Setup
1. Add the indicator to your chart (works on all timeframes, though 5M-1H recommended for intraday)
2. Enable the features you want to use via Master Controls
3. Adjust colors and transparency to match your chart preferences
4. Configure alert preferences if using notifications
### Trading Workflow
**Step 1: Identify the Session**
- Determine which trading session is active or approaching
- Note session highs/lows as potential liquidity targets
- Be especially alert during session overlaps
**Step 2: Watch for Liquidity Sweeps**
- Monitor external liquidity lines (swing highs/lows)
- When price sweeps liquidity, anticipate a potential reversal
- Stronger sweeps (close breaks + full retraces) are more significant
**Step 3: Wait for OTE Retracement**
- After a sweep, wait for price to retrace into the OTE zone (0.618-0.786)
- Bullish OTE after sellside sweep = potential long
- Bearish OTE after buyside sweep = potential short
**Step 4: Use Internal Liquidity as Targets**
- Look for internal liquidity in the direction of your trade
- These serve as initial profit targets
- External liquidity serves as extended targets
**Step 5: Manage Confirmation Settings**
- For live trading, use confirmed signals (2+ confirmation bars)
- For backtesting or analysis, you may use real-time signals
- Note that confirmed signals appear with "C" marking
### Example Trade Scenarios
**Bullish Setup:**
1. London session opens (increased volume)
2. Price sweeps sellside liquidity below Asian low
3. Price retraces into bullish OTE zone (0.618-0.786 of the sweep move)
4. Target internal buyside liquidity, then external buyside liquidity
**Bearish Setup:**
1. NY session overlap with London (peak liquidity)
2. Price sweeps buyside liquidity above recent high
3. Price retraces into bearish OTE zone
4. Target internal sellside liquidity, then session lows
---
## BEST PRACTICES
### What This Indicator Does Well
✓ Identifies high-probability institutional trading zones
✓ Provides clear visual roadmap of likely price targets
✓ Reduces chart clutter with configurable history limits
✓ Works across multiple timeframes and instruments
✓ Minimizes repainting with confirmation settings
### What This Indicator Doesn't Do
✗ Does not provide entry/exit arrows (intentional - requires trader discretion)
✗ Does not guarantee winning trades (no indicator does)
✗ Does not work in isolation (combine with price action/market context)
✗ Does not replace risk management (always use stop losses)
### Recommended Complementary Analysis
- Price action patterns (engulfing candles, pinbars at OTE zones)
- Volume profile or footprint charts for order flow confirmation
- Higher timeframe trend context (don't fade strong trends)
- Economic calendar awareness (avoid major news events)
---
## TECHNICAL NOTES
### Performance Optimization
- Uses max_bars_back limitation to reduce memory usage
- Automatic cleanup of old zones to prevent slowdown
- Efficient array management with configurable display limits
- Suitable for both intraday and swing trading timeframes
### Timeframe Recommendations
- **1-5 Minute:** Scalping with tight internal liquidity targets
- **15-30 Minute:** Intraday trading with session-based setups
- **1-4 Hour:** Swing trading with multi-session analysis
- **Daily:** Position trading using weekly liquidity levels
### Instrument Compatibility
Works on all liquid instruments:
- Forex pairs (optimal due to clear sessions)
- Stock index futures (ES, NQ, etc.)
- Cryptocurrency (24/7 markets - use custom session times)
- Individual stocks (less pronounced session effects)
---
## EDUCATIONAL RESOURCES
To better understand the concepts used in this indicator:
**Liquidity Concepts:**
- Study institutional order flow and stop loss hunting
- Learn about market microstructure and liquidity provision
- Understand the difference between retail and institutional trading
**Fibonacci/OTE:**
- Research Fibonacci retracements in trending markets
- Study the mathematical significance of the golden ratio (0.618)
- Practice identifying retracement entries on historical charts
**Session Trading:**
- Analyze volume profiles during different forex sessions
- Study typical price behavior during session overlaps
- Understand timezone conversions for your local trading hours
---
## VERSION HISTORY & UPDATES
This script represents a complete integration of multiple smart money concepts into a single, cohesive tool. Future updates will be published using the Update feature rather than creating separate scripts for minor variations.
---
## DISCLAIMER
This indicator is for educational and informational purposes only. It does not constitute financial advice or trading recommendations. All trading involves risk, and past performance does not guarantee future results. Always practice proper risk management and never risk more than you can afford to lose.
The concepts presented here (liquidity sweeps, OTE zones, session analysis) are widely discussed trading theories. This indicator is an interpretation and visualization of these concepts, not a guarantee of their effectiveness.
---
## SETTINGS SUMMARY
**Master Controls:** Enable/disable each major feature independently
**Repainting Controls:** Adjust confirmation requirements for signals
**Trading Sessions:** Customize session times, colors, and display options
**External Liquidity:** Configure detection sensitivity and visual styling
**Internal Liquidity:** Adjust lookback periods and threshold sensitivity
**OTE Zones:** Select which Fibonacci levels to display and entry requirements
**Alerts:** Configure notifications for sessions, sweeps, and entries
---
## SUPPORT & FEEDBACK
If you find this indicator helpful, please leave a like and comment with your feedback. For questions about specific settings or concepts, refer to the tooltips in the indicator settings panel - each parameter includes a detailed explanation.
Remember: The best indicator is the one you understand and can apply consistently within your trading plan. Take time to practice with this tool on demo accounts before risking real capital.
EMA/SMA Band with Buy sellThe EMA Band Indicator is a technical analysis tool that smooths market data using Exponential Moving Averages (EMA).
It displays adaptive upper and lower bands around price to help visualize trend direction and market momentum.
The color of the band changes with EMA slope, allowing users to easily recognize when the trend is strengthening or weakening.
This visual approach helps traders observe price behavior around dynamic support and resistance zones.
It is designed for trend analysis and momentum visualization only — not as a buy or sell signal generator.
VWAP + EMA Smart SignalsThis indicator combines VWAP (Volume Weighted Average Price) and EMA (Exponential Moving Average) to help visualize trend direction and potential momentum shifts.
It highlights smart confluence points where both trend and volume alignment occur, using compact on-chart signals for clarity.
Features:
VWAP and EMA combination for trend confirmation
Compact “smart signal” markers for potential momentum shifts
Adjustable EMA length and VWAP settings
Optional trend-colored candles for quick visualization
Works across all timeframes and instruments
Purpose:
Designed for traders who prefer a simple yet informative visual cue of price alignment with volume-weighted and moving-average trends.
This indicator is intended for educational and analytical purposes only and does not represent financial advice or guaranteed performance.
EMA Slope Trend Change (Compact Signals)This indicator visualizes trend direction using the slope of an Exponential Moving Average (EMA).
It changes color as the EMA slope turns positive or negative, and displays compact up/down markers to highlight slope reversals.
Features:
Dynamic color change based on EMA slope
Compact visual signals at slope reversals
Adjustable EMA length and signal display
Minimalist design for clean chart use
This tool is intended for trend visualization and educational analysis only.
It does not provide buy/sell recommendations or guarantee any performance outcomes.
Hull Suite Strategy with Time FilterThis script is a Hull Moving Average–based trend system designed to visualize market direction and filter signals during specific trading hours.
It features:
Dual HMA bands for smoother trend detection
Color changes based on slope to highlight momentum
Optional time filter for signal control within session hours
Compact buy/sell signal markers
You can adjust HMA lengths, time filters, and visual options from the settings panel.
This script is intended for educational and analytical purposes only — not financial advice.
MTF MACD + RSI (Nikko) v1 for friendsMTF MACD + RSI (Nikko) v1 friends only
🧠 MTF MACD + RSI (Nikko) v1
A professional 2-in-1 Pine Script indicator that merges two powerful systems:
MTF MACD (Multi-Timeframe MACD) — Momentum and trend analyzer
RSI Divergence (Nikko) — Reversal and divergence detector
Easily switch between them with a simple toggle in the indicator settings.
⚙️ Overview
This script provides two distinct analysis modes inside a single indicator:
MTF MACD Mode → Focuses on multi-timeframe trend confirmation and momentum strength.
RSI Divergence Mode → Focuses on reversal detection using RSI and price divergence.
A color-coded label in the indicator pane shows which mode is active:
🔴 MACD Mode
🟢 RSI Mode
SMC by ASHY-JAYASHY-JAY "Smart Money" refers to funds under the control of institutional investors, central banks, funds, market makers, and other financial entities. Ordinary people recognize investments made by those who have a deep understanding of market performance and possess information typically inaccessible to regular investors as "Smart Money".
Consequently, when market movements often diverge from expectations, traders identify the footprints of smart money. For example, when a classic pattern forms in the market, traders take short positions. However, the market might move upward instead. They attribute this contradiction to smart money and seek to capitalize on such inconsistencies in their trades.
The "Smart Money Concept" (SMC) is one of the primary styles of technical analysis that falls under the subset of "Price Action". Price action encompasses various subcategories, with one of the most significant being "Supply and Demand", in which SMC is categorized.
The SMC method aims to identify trading opportunities by emphasizing the impact of large traders (Smart Money) on the market, offering specific patterns, techniques, and trading strategies.
🟣Key Terms of Smart Money Concept (SMC)
• Market Structure (Trend)
• Change of Character (ChoCh)
• Break of Structure (BoS)
• Order Blocks (Supply and Demand)
• Imbalance (IMB)
• Inefficiency (IFC)
• Fair Value Gap (FVG)
• Liquidity
• Premium and Discount
Rainbow Moving Averages (v5 safe)Rainbow Moving Averages — plots multiple moving averages of different lengths in a rainbow colour scheme to visualise market trend strength and direction. The spread and alignment of the lines help identify trend changes and momentum shifts.
TrendFlowTrendFlow is a visual trend analysis tool that helps identify changes in market direction and momentum.
It uses three exponential moving averages (EMA 21, EMA 50, and EMA 200) to define short-, medium-, and long-term trend structure.
A dynamic color fill highlights the relationship between the 21 and 50 EMAs:
When EMA 21 is above EMA 50, a green fill indicates upward momentum.
When EMA 21 is below EMA 50, a red fill shows downward momentum.
The EMA 200 line adapts its color based on its position relative to the shorter EMAs:
Red when above both EMAs (strong upward structure)
Green when below both EMAs (strong downward structure)
Gray when between them (neutral or consolidation phase)
This setup provides a clear visual framework for observing trend flow and directional bias over multiple timeframes.
Developed by The Volume Hub Fintech and Strategy Development
RAM BAAN INDICATOR⚡ RAM BAAN (Clean Multi-TF Version)
Overview
RAM BAAN is a precision-crafted market mapping tool built to identify dynamic price zones across multiple timeframes — from fast intraday moves to long-term trend areas. It automatically adapts to market behavior, providing traders with a clear, color-coded structure to visualize momentum shifts in real time.
Concept
Unlike traditional static indicators, RAM BAAN dynamically adjusts to the evolving rhythm of price. Each level reacts instantly to current market conditions, allowing you to track key turning points and directional bias with exceptional clarity.
Features
✅ Multi-timeframe adaptive levels — 5 min to Monthly
✅ Clean, minimal layout with a live table showing active levels
✅ Smart color updates that reflect price positioning instantly
✅ Background shading to highlight bullish or bearish conditions
✅ Works seamlessly on all assets — Stocks, Indices, Crypto, FX, and Commodities
How to Use
Watch how price interacts with the RAM BAAN levels across different timeframes.
Monitor the real-time color shifts — they help identify strength, weakness, or potential reversals.
Combine with your preferred confirmation tools or strategies for precision entries.
Purpose
RAM BAAN is designed to simplify market analysis and bring structure to volatility. Instead of chasing trades, it helps you recognize where momentum is building and when multiple timeframes align — making it a truly versatile edge for both scalpers and swing traders.
Range Filter Oscillator - MACD Style [DW]  
 Educational  
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The **Range Filter Oscillator - MACD Style  ** is a technical indicator that helps traders identify trends and potential buy or sell signals. It works by smoothing price movements to filter out noise and focuses on significant price changes.
Here's how it works in simple terms:
1. **Range Filter**: It calculates a dynamic range around the price, based on user settings (like ATR, price percentage, or ticks). Prices moving outside this range are considered significant.
2. **Oscillator**: It measures how far the current price is from the filtered price, creating a value that swings above or below zero, like an oscillator.
3. **MACD-Style**: It compares the oscillator (fast line) to its smoothed version (slow line, using a simple moving average). The difference between them forms a **histogram**, which shows momentum:
- **Positive histogram** (green): Upward momentum, suggesting a buy signal.
- **Negative histogram** (red): Downward momentum, suggesting a sell signal.
4. **Crossovers**: When the fast line crosses above the slow line, it indicates a potential buy. When it crosses below, it suggests a sell.
5. **Bar Colors**: The chart bars turn green for bullish signals, red for bearish, and gray for neutral, making it easy to spot trend changes.
This indicator is great for spotting trends while ignoring minor price fluctuations, and its MACD-style visuals make it intuitive for traders familiar with momentum indicators.
Kalman VWAP Filter [BackQuant]Kalman VWAP Filter  
 A precision-engineered price estimator that fuses  Kalman filtering  with the  Volume-Weighted Average Price (VWAP)  to create a smooth, adaptive representation of fair value. This hybrid model intelligently balances responsiveness and stability, tracking trend shifts with minimal noise while maintaining a statistically grounded link to volume distribution.
 If you would like to see my original Kalman Filter, please find it here: 
 
 Concept overview 
 The Kalman VWAP Filter is built on two core ideas from quantitative finance and control theory:
  
  Kalman filtering  — a recursive Bayesian estimator used to infer the true underlying state of a noisy system (in this case, fair price).
  VWAP anchoring  — a dynamic reference that weights price by traded volume, representing where the majority of transactions have occurred.
  
 By merging these concepts, the filter produces a line that behaves like a "smart moving average": smooth when noise is high, fast when markets trend, and self-adjusting based on both market structure and user-defined noise parameters.
 How it works 
  
  Measurement blend : Combines the chosen  Price Source  (e.g., close or hlc3) with either a  Session VWAP  or a  Rolling VWAP  baseline. The  VWAP Weight  input controls how much the filter trusts traded volume versus price movement.
  Kalman recursion : Each bar updates an internal "state estimate" using the Kalman gain, which determines how much to trust new observations vs. the prior state.
  Noise parameters :
 Process Noise  controls agility — higher values make the filter more responsive but also more volatile.
 Measurement Noise  controls smoothness — higher values make it steadier but slower to adapt.
  Filter order (N) : Defines how many parallel state estimates are used. Larger orders yield smoother output by layering multiple one-dimensional Kalman passes.
  Final output : A refined price trajectory that captures VWAP-adjusted fair value while dynamically adjusting to real-time volatility and order flow.
  
 Why this matters 
 Most smoothing techniques (EMA, SMA, Hull) trade off lag for smoothness. Kalman filtering, however, adaptively rebalances that tradeoff each bar using probabilistic weighting, allowing it to follow market state changes more efficiently. Anchoring it to VWAP integrates microstructure context — capturing where liquidity truly lies rather than only where price moves.
 Use cases 
  
  Trend tracking : Color-coded candle painting highlights shifts in slope direction, revealing early trend transitions.
  Fair value mapping : The line represents a continuously updated equilibrium price between raw price action and VWAP flow.
  Adaptive moving average replacement : Outperforms static MAs in variable volatility regimes by self-adjusting smoothness.
  Execution & reversion logic : When price diverges from the Kalman VWAP, it may indicate short-term imbalance or overextension relative to volume-adjusted fair value.
  Cross-signal framework : Use with standard VWAP or other filters to identify convergence or divergence between liquidity-weighted and state-estimated prices.
  
 Parameter guidance 
  
  Process Noise : 0.01–0.05 for swing traders, 0.1–0.2 for intraday scalping.
  Measurement Noise : 2–5 for normal use, 8+ for very smooth tracking.
  VWAP Weight : 0.2–0.4 balances both price and VWAP influence; 1.0 locks output directly to VWAP dynamics.
  Filter Order (N) : 3–5 for reactive short-term filters; 8–10 for smoother institutional-style baselines.
  
 Interpretation 
  
  When  price > Kalman VWAP  and slope is positive → bullish pressure; buyers dominate above fair value.
  When  price < Kalman VWAP  and slope is negative → bearish pressure; sellers dominate below fair value.
  Convergence of price and Kalman VWAP often signals equilibrium; strong divergence suggests imbalance.
  Crosses between Kalman VWAP and the base VWAP can hint at shifts in short-term vs. long-term liquidity control.
  
 Summary 
 The  Kalman VWAP Filter  blends statistical estimation with market microstructure awareness, offering a refined alternative to static smoothing indicators. It adapts in real time to volatility and order flow, helping traders visualize balance, transition, and momentum through a lens of probabilistic fair value rather than simple price averaging.
EMA HeatmapEMA Heatmap — Indicator Description
The EMA Order Heatmap is a visual trend-structure tool designed to show whether the market is currently trending bullish, trending bearish, or moving through a neutral consolidation phase. It evaluates the alignment of multiple exponential moving averages (EMAs) at three different structural layers: short-term daily, medium-term daily, and weekly macro trend. This creates a quick and intuitive picture of how well price movement is organized across timeframes.
Each layer of the heatmap is scored from bearish to bullish based on how the EMAs are stacked relative to each other. When EMAs are in a fully bullish configuration, the row displays a bright green or lime color. Fully bearish alignment is shown in red. Yellow tones appear when the EMAs are mixed or compressing, indicating uncertainty, trend exhaustion, or a change in market character. The three rows combined offer a concise view of whether strength or weakness is isolated to one timeframe or broad across the market.
This indicator is best used as a trend filter before making trading decisions. Traders may find more consistent setups when the majority of the heatmap supports the direction of their trade. Green-dominant conditions suggest a trending bullish environment where long trades can be favored. Red-dominant conditions indicate bearish momentum and stronger potential for short opportunities. When yellow becomes more prominent, the market may be transitioning, ranging, or gearing up for a breakout, making timing more challenging and risk higher.
• Helps quickly identify directional bias
• Highlights when trends strengthen, weaken, or turn
• Provides insight into whether momentum is supported by higher timeframes
• Encourages traders to avoid fighting market structure
It is important to recognize the limitations. EMAs are lagging indicators, so the heatmap may confirm a trend after the initial move is underway, especially during fast reversals. In sideways or low-volume environments, the structure can shift frequently, reducing clarity. This tool does not generate entry or exit signals on its own and should be paired with price action, momentum studies, or support and resistance analysis for precise trade execution.
The EMA Order Heatmap offers a clean and reliable way to stay aligned with the broader market environment and avoid lower-quality trades in indecisive conditions. It supports more disciplined decision-making by helping traders focus on setups that match the prevailing structural trend.
SuperBulls - Trend Tracker StrategyA clean, reliable trend-following strategy built under the SuperBulls Universe.
Key Highlights:
 
 Captures major trend shifts with precision
 
 Uses adaptive moving averages for smooth market structure tracking
 
 Auto-generates buy and sell signals for clear execution
 
 Supports both intraday and swing trading styles
 
 Designed for simplicity, consistency, and visual clarity
 
Stay aligned with the market trend and Trade smart.
Trade with confidence with SuperBulls.






















