Volumatic Support/Resistance Levels [BigBeluga]🔵 OVERVIEW
A smart volume-powered tool for identifying key support and resistance zones—enhanced with real-time volume histogram fills and high-volume markers.
Volumatic Support/Resistance Levels detects structural levels from swing highs and lows, and wraps them in dynamic histograms that reflect the relative volume strength around those zones. It highlights the strongest price levels not just by structure—but by the weight of market participation.
🔵 CONCEPTS
Price Zones: Support and resistance levels are drawn from recent price pivots, while volume is used to visually enhance these zones with filled histograms and highlight moments of peak activity using markers.
Histogram Fill = Activity Zone: The width and intensity of each filled zone adjusts to recent volume bursts.
High-Volume Alerts: Circle markers highlight moments of volume dominance directly on the levels—revealing pressure points of support/resistance.
Clean Visual Encoding: Red = resistance zones, green = support zones, orange = high-volume bars.
🔵 FEATURES
Detects pivot-based resistance (highs) and support (lows) using a customizable range length.
Wraps these levels in volume-weighted bands that expand/contract based on percentile volume.
Color fill intensity increases with rising volume pressure, creating a live histogram feel.
When volume > user-defined threshold , the indicator adds circle markers at the top and bottom of that price level zone.
Bar coloring highlights the candles that generated this high-volume behavior (orange by default).
Adjustable settings for all thresholds and colors, so traders can dial in volume sensitivity.
🔵 HOW TO USE
Identify volume-confirmed resistance and support zones for potential reversal or breakout setups.
Focus on levels with intense histogram fill and circle markers —they indicate strong participation.
Use bar coloring to track when key activity started and align it with broader market context.
Works well in combination with order blocks, trend indicators, or liquidity zones.
Ideal for day traders, scalpers, and volume-sensitive setups.
🔵 CONCLUSION
Volumatic Support/Resistance Levels elevates traditional support and resistance logic by anchoring it in volume context. Instead of relying solely on price action, it gives traders insight into where real conviction lies—by mapping how aggressively the market defended or rejected key levels. It's a visual, reactive, and volume-conscious upgrade to your structural toolkit.
指標和策略
Boomerang Trading Indicator# Boomerang News Trading Indicator
## Overview
The Boomerang Trading Indicator is designed to identify potential reversal opportunities following major economic news releases. This indicator analyzes the initial market reaction to news events and provides visual cues for potential counter-trend trading opportunities based on Fibonacci retracement levels.
## How It Works
### News Event Detection
- Automatically detects major news release times (NFP, CPI, FOMC, etc.)
- Analyzes the first significant price movement following news releases
- Requires minimum candle size threshold to filter out weak reactions
### First Move Analysis
The indicator employs multiple analytical methods to determine the initial market direction:
**Simple Analysis (High Confidence):**
- When the news candle has ≥70% body-to-total ratio, uses straightforward bullish/bearish classification
**Advanced Analysis (Complex Cases):**
- Volume-weighted direction analysis
- Momentum and wick pattern analysis
- Market structure and gap analysis
- Weighted voting system combining all methods
### Entry Signal Generation
Based on the "boomerang" concept where markets often reverse after initial news reactions:
**For Bullish First Moves (Price Up Initially):**
- Generates SHORT entry signals when price retraces to 1.25-1.5 Fibonacci levels
- Visual: Red triangles above price bars
**For Bearish First Moves (Price Down Initially):**
- Generates LONG entry signals when price retraces to -0.25 to -0.5 Fibonacci levels
- Visual: Green triangles below price bars
## Key Features
### Visual Elements
- **Fibonacci Levels**: Displays key retracement levels based on the initial reaction range
- **Entry Zones**: Clear visual marking of optimal entry areas
- **Direction Arrows**: Shows the initial market reaction direction
- **Target Levels**: Displays profit target zones at 50% and 100% retracement levels
### Information Panel
Real-time display showing:
- Current setup status
- First move direction and body percentage
- Recommended trade direction
- Key price levels (reaction high/low)
- Profit targets with historical success rates
### Alert System
- Pre-news warnings (customizable timing)
- News event notifications
- Setup activation alerts
- Entry signal notifications
### Success Tracking
- Visual "BOOM!" animations when targets are hit
- Target 1 (50% level): ~95% historical success rate
- Target 2 (Main target): ~80% historical success rate
## Configuration Options
### Time Settings
- News release hour and minute (customizable for different events)
- Pre-news alert timing
- Setup duration (default 60 bars after news)
### Fibonacci Levels
- Adjustable retracement percentages
- Customizable target levels
- Mid-level importance weighting
### Risk Management
- Minimum reaction candle size filter
- Maximum risk point setting
- Visual risk/reward display
### Display Options
- Toggle Fibonacci level visibility
- Toggle target level display
- Toggle animation effects
- Customizable alert preferences
## Applicable News Events
This indicator is designed for high-impact economic releases:
- Non-Farm Payrolls (NFP) - First Friday, 8:30 AM ET
- Consumer Price Index (CPI) - Monthly, 8:30 AM ET
- Producer Price Index (PPI) - Monthly, 8:30 AM ET
- Gross Domestic Product (GDP) - Quarterly, 8:30 AM ET
- FOMC Interest Rate Decisions - 8 times yearly, 2:00 PM ET
## Trading Strategy Framework
### Core Principle
Markets often overreact to news initially, then reverse toward more rational price levels. This "boomerang effect" creates short-term trading opportunities.
### Entry Strategy
1. Wait for significant initial reaction (>10 points minimum)
2. Identify the initial direction using multi-factor analysis
3. Trade opposite to the initial reaction when price reaches sweet spot zones
4. Use Fibonacci retracement levels as entry triggers
### Risk Management
- Always use appropriate position sizing
- Set stop losses beyond recent swing levels
- Consider market volatility and news importance
- Monitor for setup invalidation signals
## Important Notes
### Educational Purpose
This indicator is for educational and analytical purposes. Users should:
- Thoroughly test strategies in demo environments
- Understand the risks involved in news trading
- Consider market conditions and volatility
- Use proper risk management techniques
### Market Considerations
- High volatility during news events increases both opportunity and risk
- Spreads may widen significantly during news releases
- Different brokers may have varying execution conditions
- Economic calendar timing may vary between sources
### Limitations
- Past performance does not guarantee future results
- Market conditions can change, affecting strategy effectiveness
- News events may have unexpected outcomes affecting normal patterns
- Technical analysis should be combined with fundamental analysis
## Version Information
- Compatible with TradingView Pine Script v5
- Designed for 1-minute timeframe optimal performance
- Works on major forex pairs, indices, and commodities
- Regular updates based on market condition changes
---
**Disclaimer:** This indicator is provided for educational purposes only. Trading involves substantial risk and is not suitable for all investors. Past performance is not indicative of future results. Users should conduct their own research and consider their financial situation before making trading decisions.
Momentum Trail Oscillator [AlgoAlpha]🟠 OVERVIEW
This script builds a Momentum Trail Oscillator designed to measure directional momentum strength and dynamically track shifts in trend bias using a combination of smoothed price change calculations and adaptive trailing bands. The oscillator aims to help traders visualize when momentum is expanding or contracting and to identify transitions between bullish and bearish conditions.
🟠 CONCEPTS
The core idea combines two methods. First, the script calculates a normalized momentum measure by smoothing price changes relative to their absolute values, which creates a bounded oscillator that highlights whether moves are directional or choppy. Second, it uses a trailing band mechanism inspired by volatility stops, where bands adapt to the oscillator’s volatility, adjusting the thresholds that define a shift in directional bias. This dual approach seeks to address both the magnitude and persistence of momentum, reducing false signals in ranging markets.
🟠 FEATURES
The momentum calculation applies Hull Moving Averages and double EMA smoothing to price changes, producing a smooth, responsive oscillator.
The trailing bands are derived by offsetting a weighted moving average of the oscillator by a multiple of recent momentum volatility. A directional state variable tracks whether the oscillator is above or below the bands, updating when the momentum crosses these dynamic thresholds.
Overbought and oversold zones are visually marked between fixed levels (+30/+40 and -30/-40), with color fills to highlight when momentum is in extreme areas. The script plots signals on both the oscillator pane and optionally overlays markers on the main price chart for clarity.
🟠 USAGE
To use the indicator, apply it to any symbol and timeframe. The “Oscillator Length” controls how sensitive the momentum line is to recent price changes—lower values react faster, higher values smooth out noise. The “Trail Multiplier” sets how far the adaptive bands sit from the oscillator mid-line, which affects how often trend state changes occur. When the momentum line rises into the upper filled area and then crosses back below +40, it signals potential overbought exhaustion. The opposite applies for the oversold zone below -40. The plotted trailing bands switch visibility depending on the current directional state: when momentum is trending up, the lower band acts as the active trailing stop, and when trending down, the upper band becomes active. Trend changes are marked with circular symbols when the direction variable flips, and optional overlay arrows appear on the price chart to highlight overbought or oversold reversals. Traders can combine these signals with their own price action or volume analysis to confirm entries or exits.
Mariam 5m Scalping Breakout StrategyPurpose
A 5-minute scalping breakout strategy designed to capture fast 3-5 pip moves with high probability, using premium/discount zone filters and market bias conditions. Developed for traders seeking consistent scalps with a proven win rate above 95–98% in optimal conditions.
How It Works
The script monitors price action in 5-minute intervals, forming a 15-minute high and low range by tracking the highs and lows of the first 3 consecutive 5-minute candles starting from a custom time. In the next 3 candles, it waits for a breakout above the 15m high or below the 15m low while confirming market bias using custom equilibrium zones.
Buy signals trigger when price breaks the 15m high while in a discount zone
Sell signals trigger when price breaks the 15m low while in a premium zone
The strategy simulates trades with fixed 3-5 pip take profit and stop loss values (configurable). All trades are recorded in a table with live trade results and an automatically updated win rate, typically achieving over 90–95% accuracy in favorable market conditions.
Features
Designed exclusively for the 5-minute timeframe
Custom 15-minute high/low breakout logic
Premium, Discount, and Equilibrium zone display
Built-in backtest tracker with live trade results, statistics, and win rate
Customizable start time, take profit, and stop loss settings
Real-time alerts on breakout signals
Visual markers for trade entries and failed trades
Consistent win rate exceeding 90–95% on average when following market conditions
Usage Tips
Use strictly on 5-minute charts for accurate signal performance. Avoid during high-impact news releases.
Important: Once a trade is opened, manually set your take profit at +3 to +5 pips immediately to secure the move, as these quick scalps often hit the target within a single candle. This prevents missed exits during rapid price action.
IDKFAIDKFA - Advanced Order Blocks & Volume Profile with Market Structure Analysis
Why IDKFA?
Named after the legendary DOOM cheat code that gives players "all weapons and full ammo," IDKFA provides traders with a comprehensive arsenal of market analysis tools. Just as the cheat code arms players with everything needed for combat, this indicator equips traders with essential market structure tools: Order Blocks, Volume Profile, LVN/HVN areas, Fibonacci retracements, and intelligent buy/sell signals - all in one unified system.
Core Features
Order Blocks Detection
Automatically identifies institutional order blocks using pivot high/low analysis
Extends blocks dynamically until price interaction occurs
Bullish blocks (demand zones) and bearish blocks (supply zones)
Customizable opacity and extend functionality
Advanced Volume Profile
Real-time volume profile calculation for multiple session types
Point of Control (POC), Value Area High (VAH), and Value Area Low (VAL)
Mode 1: Side-by-side bull/bear volume display
Mode 2: Overlapped volume display with percentage analysis
Shows buying vs selling pressure at each price level
LVN/HVN Area Detection
Low Volume Nodes (LVN): Areas below VAL where price moves quickly
High Volume Nodes (HVN): Areas above VAH with strong resistance
NPOC (Naked Point of Control): Single print areas within Value Area
Volume-based gradient coloring shows relative activity levels
Smart Fibonacci Retracements
Auto-detects trend direction for proper fibonacci orientation
Dynamic color coding: Red levels in uptrends, Gold in downtrends
Special 88.6% level turns lime green in downtrends
Key levels: 23.6%, 38.2%, 50%, 61.8%, 65%, 78.6%, 88.6%
Intelligent Signal System
Works best on higher timeframes
Identifies high-probability reversal setups at key levels
Buy signals: Large bearish rejection followed by bullish reclaim
Sell signals: Large bullish rejection followed by bearish breakdown
Signals only trigger near significant support/resistance areas
Signal Analysis & Usage Guidelines
Buy Signal Mechanics
The buy signal triggers when:
Previous candle shows significant bearish movement (minimum ATR multiplier)
Current candle reclaims a configurable percentage of the previous candle's range
Price is near a key support level (order blocks, fibonacci, volume levels)
Sell Signal Mechanics
The sell signal triggers when:
Previous candle shows significant bullish movement (minimum ATR multiplier)
Current candle rejects below a configurable percentage of the previous candle's range
Price is near a key resistance level (order blocks, fibonacci, volume levels)
When to TAKE Signals
High Probability Buy Signals:
Signal appears AT or BELOW the VAL (Value Area Low)
Signal occurs at bullish order block confluence
Price is in LVN area below VAL (momentum acceleration zone)
Signal aligns with fibonacci 61.8% or 78.6% support
Multiple session POC levels provide support confluence
Previous session's VAL acting as current support
High Probability Sell Signals:
Signal appears AT or ABOVE the VAH (Value Area High)
Signal occurs at bearish order block confluence
Price is in HVN area above VAH (heavy resistance zone)
Signal aligns with fibonacci 61.8% or 78.6% resistance
Multiple session POC levels provide resistance confluence
Previous session's VAH acting as current resistance
When to AVOID Signals
Avoid Buy Signals When:
Signal appears ABOVE the VAH (buying into resistance)
Price is in HVN red zones (high volume resistance areas)
No clear support structure below current price
Volume profile shows heavy selling pressure (high bear percentages)
Signal occurs during low-volume periods between major sessions
Multiple bearish order blocks exist below current price
Avoid Sell Signals When:
Signal appears BELOW the VAL (selling into support)
Price is in LVN green zones (momentum could continue)
No clear resistance structure above current price
Volume profile shows heavy buying pressure (high bull percentages)
Signal occurs during Asian session ranges without clear direction
Multiple bullish order blocks exist above current price
Volume Profile Context for Signals
Understanding Bull/Bear Percentages:
70%+ Bull dominance at a level = Strong support expected
70%+ Bear dominance at a level = Strong resistance expected
50/50 Split = Neutral zone, less predictable
Use percentages to gauge conviction behind moves
POC (Point of Control) Interactions:
Signals above POC in uptrend = Higher probability
Signals below POC in downtrend = Higher probability
Signals against POC bias require extra confirmation
POC often acts as magnetic level for price return
Trading Strategies
Strategy 1: VAL/VAH Bounce Strategy
Wait for price to approach VAL (support) or VAH (resistance)
Look for signal confirmation at these critical levels
Enter with tight stops beyond the Value Area
Target opposite boundary or next session's levels
Strategy 2: Order Block + Volume Confluence
Identify order block alignment with VAL/VAH
Wait for signal within the confluence zone
Enter on signal with stop beyond order block
Use LVN areas as acceleration zones for targets
Strategy 3: LVN/HVN Strategy
LVN (Green) Areas: "Go Zones" - expect quick price movement through low volume
HVN (Red) Areas: "Stop Zones" - expect resistance and potential reversals
NPOC Areas: "Fill Zones" - price often returns to fill single print gaps
Strategy 4: Multi-Session Analysis
Use Daily/Weekly for major structure context
Use 4H for intermediate levels
Use 1H for precise entry timing
Ensure all timeframes align before taking signals
Strategy 5: Fibonacci + Volume Profile
Buy signals at 61.8% or 78.6% fibonacci near VAL
Sell signals at 61.8% or 78.6% fibonacci near VAH
Use 88.6% level as final support/resistance before major moves
50% level often aligns with POC for confluence
Signal Quality Assessment
Grade A Signals (Highest Probability):
Signal at VAL/VAH with order block confluence
Fibonacci level alignment (61.8%, 78.6%)
Volume profile shows 70%+ dominance in signal direction
Multiple timeframe structure alignment
Signal occurs during high-volume sessions (London/NY)
Grade B Signals (Moderate Probability):
Signal near POC with some confluence
Fibonacci 50% or 38.2% alignment
Mixed volume profile readings (50-70% dominance)
Some timeframe alignment present
Signal during overlap sessions
Grade C Signals (Lower Probability):
Signal with minimal confluence
Weak fibonacci alignment or none
Volume profile neutral or against signal
Conflicting timeframe signals
Signal during low-volume periods
Risk Management Guidelines
Position Sizing Based on Signal Quality:
Grade A: Standard position size
Grade B: Reduced position size (50-75%)
Grade C: Minimal position size (25%) or skip entirely
Stop Loss Placement:
Beyond order block boundaries
Outside Value Area (VAL/VAH)
Below/above fibonacci confluence levels
Account for session volatility ranges
Profit Targets:
First target: Opposite VAL/VAH boundary
Second target: Next session's key levels
Final target: Major order blocks or fibonacci extensions
Credits & Attribution
Original components derived from:
Market Sessions & Volume Profile by © Leviathan (Mozilla Public License 2.0)
Volume Profile elements inspired by @LonesomeTheBlue's volume profile script
Pivot Order Blocks by TradingWolf / © MensaTrader (Mozilla Public License 2.0)
Auto Fibonacci Retracement code (public domain)
Significant enhancements and modifications include:
Advanced LVN/HVN detection and visualization
Bull/Bear percentage analysis for Mode 2/3
Comprehensive alert system with market context
Integrated buy/sell signals at key levels
Performance optimizations and extended session support
Enhanced Mode 2/3 with percentage pressure analysis
Important Disclaimers
This indicator is a technical analysis tool designed for educational purposes. It does not provide financial advice, investment recommendations, or trading signals that guarantee profits. All trading involves substantial risk of loss, and past performance does not guarantee future results. Users should conduct their own research, understand the risks involved, and consider consulting with qualified financial advisors before making trading decisions. The signals and analysis provided are based on historical price patterns and volume data, which may not predict future market movements accurately.
Best Practices
Never trade signals blindly - always consider volume profile context
Wait for confluence between multiple tools before entering
Respect the Value Area - avoid buying above VAH or selling below VAL
Use session context - Asian ranges vs London/NY breakouts
Practice proper risk management - position size based on signal quality
Understand the bigger picture - use multiple timeframes for context
Remember: Like the IDKFA cheat code, having all the tools doesn't guarantee success. The key is learning to use them together effectively and understanding when NOT to take a signal is often more important than knowing when to take one.
Future is hereOverview
"Future is Here" is an original, multi-faceted Pine Script indicator designed to provide traders with a comprehensive toolset for identifying high-probability trading opportunities. By integrating volatility-based entry zones, trend-based price targets, momentum confirmation, dynamic support/resistance levels, and risk-reward ratio (RRR) calculations, this indicator offers a cohesive and actionable trading framework. Each feature is carefully designed to complement the others, ensuring a synergistic approach that enhances decision-making across various market conditions. This script is unique in its ability to combine these elements into a single, streamlined interface with clear visual cues and customizable alerts, making it suitable for both novice and experienced traders.
Key Features and How They Work Together
Volatility-Based Entry Zones
Purpose: Identifies overbought and oversold conditions using a volatility-adjusted moving average, helping traders spot potential reversal zones.
Mechanism: Utilizes a user-defined volatility length and multiplier to calculate dynamic overbought/oversold thresholds based on the standard deviation of price. Crossovers and crossunders of these levels trigger "Buy Zone" or "Sell Zone" labels.
Synergy: These zones act as the foundation for entry signals, which are later confirmed by momentum and trend filters to reduce false signals.
Trend-Based Price Targets
Purpose: Projects potential price targets based on the prevailing trend, giving traders clear objectives for profit-taking.
Mechanism: Combines a fast and slow moving average to determine trend direction, then calculates target prices using a multiplier of the price deviation from the slow MA. Labels display bullish or bearish targets when the fast MA crosses the slow MA.
Synergy: Works in tandem with entry zones and momentum signals to align targets with market conditions, ensuring traders aim for realistic price levels supported by trend strength.
Momentum Confirmation
Purpose: Validates entry signals by assessing momentum strength, filtering out weak setups.
Mechanism: Uses the momentum indicator to detect bullish or bearish momentum crossovers, labeling them as "Strong" or "Weak" based on a comparison with a smoothed momentum average.
Synergy: Enhances the reliability of buy/sell signals by ensuring momentum aligns with volatility zones and trend direction, reducing the risk of premature entries.
Dynamic Support/Resistance Levels
Purpose: Highlights key price levels where the market is likely to react, aiding in trade planning and risk management.
Mechanism: Detects pivot highs and lows over a user-defined lookback period, drawing horizontal lines for the most recent support and resistance levels (limited to two each for clarity). Labels mark these levels with price values.
Synergy: Complements entry zones and price targets by providing context for potential reversal or continuation points, helping traders set logical stop-losses or take-profits.
Buy/Sell Signals with Risk-Reward Ratios
Purpose: Generates precise buy/sell signals with integrated take-profit (TP), stop-loss (SL), and RRR calculations for disciplined trading.
Mechanism: Combines volatility zone crossovers, trend confirmation, and positive momentum to trigger signals. ATR-based TP and SL levels are calculated, and the RRR is displayed in labels for quick assessment.
Synergy: This feature ties together all previous components, ensuring signals are only generated when volatility, trend, and momentum align, while providing clear risk-reward metrics for trade evaluation.
Customizable Alerts
Purpose: Enables traders to stay informed of trading opportunities without constant chart monitoring.
Mechanism: Alert conditions are set for buy and sell signals, delivering notifications with the entry price for seamless integration into trading workflows.
Synergy: Enhances usability by allowing traders to act on high-probability setups identified by the indicator’s combined logic.
Originality
"Future is Here" is an original creation that distinguishes itself through its holistic approach to technical analysis. Unlike single-purpose indicators, it integrates volatility, trend, momentum, and support/resistance into a unified system, reducing the need for multiple scripts. The inclusion of RRR calculations directly in signal labels is a unique feature that empowers traders to evaluate trade quality instantly. The script’s design emphasizes clarity and efficiency, with cooldowns to prevent label clutter and a limit on support/resistance lines to maintain chart readability. This combination of features, along with its customizable parameters, makes it a versatile and novel tool for traders seeking a robust, all-in-one solution.
How to Use
Setup: Add the indicator to your TradingView chart and adjust input parameters (e.g., Volatility Length, Trend Length, TP/SL Multipliers) to suit your trading style and timeframe.
Interpretation:
Look for "Buy Zone" or "Sell Zone" labels to identify potential entry points.
Confirm entries with "Bull Mom" or "Bear Mom" labels and trend direction (Bull/Bear Target labels).
Use Support/Resistance lines to set logical TP/SL levels or anticipate reversals.
Evaluate Buy/Sell signals with TP, SL, and RRR for high-probability trades.
Alerts: Set up alerts for Buy/Sell signals to receive real-time notifications.
Customization: Fine-tune multipliers and lengths to adapt the indicator to different markets (e.g., stocks, forex, crypto) or timeframes.
ZYTX GKDDThe Zhiying Tianxia High-Sell Low-Buy Indicator Strategy is a trend-following indicator that integrates multiple indicator resonances. It demonstrates the perfect performance of an automated trading robot, truly achieving the high-sell low-buy strategy in trading.
MACD Triple divergence signalsThis script is a basic combination of several scripts that I found very useful. It's a MACD divergence on steroids. Instead of using only one plot as a source for detecting divergence, I use all of the plots.
The idea is that if more divergence signals appear—especially after a prolonged downtrend or uptrend—they can be interpreted as a strong divergence signal.
The third divergence signal is taken from the MACD signal line. It has a longer-term lookback range, which could provide a more reliable divergence signal.
The default minimum lookback range is 15, much greater than the usual value of 5. This makes it more suitable for long-term trading or for lower timeframes (lower than 4H) to reduce noise from excessive signals. For timeframes higher than 4H, the setting can be reduced to around 10 or even 5.
For the 1W (weekly) timeframe, try using a value of 3.
I also added a band to give a clear visual of overbought and oversold areas. It works similarly to Bollinger Bands (BB). You can spot when the price is ranging or when a stop-loss hunt occurs (i.e., the price breaks the band).
Please do your homework—backtest it yourself to find which timeframe suits you best. You can also tweak the settings if you find the default values too aggressive or too mild.
I’ve found that MACD is more reliable on timeframes greater than 1H. Personally, I use it on the 4H and 1D timeframes.
in bahasa:
MACD dengan 3 sinyal divergence, kalau muncul lebih banyak, bisa jadi sinyal lebih menyakinkan.
Minimum lookback range default-nya 15 agar tidak muncul terlalu banyak sinyal. 15 lebih panjang, lebih ok. Kalau main di higher timeframe seperti 1D, bisa 5-10, kalau weeky timeframe = 3.
Untuk band, cek ketika plot-nya keluar dari band, itu bisa jadi jackpot, apalagi kalau plot-nya membentuk double bottom.
Backtest sendiri, siapa tahu kalian bisa dapet setting sendiri.
MACD with upper and lower band will give you a clear visual of price movements
More divergence signals are generated and when the price breaks out of the oversold band = jackpot.
Step Channel Momentum Trend [ChartPrime]OVERVIEW
Step Channel Momentum Trend is a momentum-based price filtering system that adapts to market structure using pivot levels and ATR volatility. It builds a dynamic channel around a stepwise midline derived from swing highs and lows. The system colors price candles based on whether price remains inside this channel (low momentum) or breaks out (strong directional flow). This allows traders to clearly distinguish ranging conditions from trending ones and take action accordingly.
⯁ STRUCTURAL MIDLNE (STEP CHANNEL CORE)
The midline acts as the backbone of the trend system and is based on structure rather than smoothing.
Calculated as the average of the most recent confirmed Pivot High and Pivot Low.
The result is a step-like horizontal line that only updates when new pivot points are confirmed.
This design avoids lag and makes the line "snap" to recent structural shifts.
It reflects the equilibrium level between recent bullish and bearish control.
snapshot
This unique step logic creates clear regime shifts and prevents noise from distorting trend interpretation.
⯁ DYNAMIC VOLATILITY BANDS (ATR FILTERING)
To detect momentum strength, the script constructs upper and lower bands using the ATR (Average True Range):
The distance from the midline is determined by ATR × multiplier (default: 200-period ATR × 0.6).
These bands adjust dynamically to volatility, expanding in high-ATR environments and contracting in calm markets.
The area between upper and lower bands represents a neutral or ranging market state.
Breakouts outside the bands are treated as significant momentum shifts.
snapshot
This filtering approach ensures that only meaningful breakouts are visually emphasized — not every candle fluctuation.
⯁ MOMENTUM-BASED CANDLE COLORING
The system visually transforms price candles into momentum indicators:
When price (hl2) is above the upper band, candles are green → bullish momentum.
snapshot
When price is below the lower band, candles are red → bearish momentum.
snapshot
When price is between the bands, candles are orange → low or no momentum (range).
snapshot
The candle body, wick, and border are all colored uniformly for visual clarity.
This gives traders instant feedback on when momentum is expanding or fading — ideal for breakout, pullback, or trend-following strategies.
⯁ PIVOT-BASED SWING ANCHORS
Each confirmed pivot is plotted as a label ⬥ directly on the chart:
snapshot
They also serve as potential manual entry zones, SL/TP anchors, or confirmation points.
⯁ MOMENTUM STATE LABEL
To reinforce the current market mode, a live label is displayed at the most recent candle:
Displays either:
“Momentum Up” when price breaks above the upper band.
snapshot
“Momentum Down” when price breaks below the lower band.
snapshot
“Range” when price remains between the bands.
snapshot
Label color matches the candle color for quick identification.
Automatically updates on each bar close.
This helps discretionary traders filter trades based on market phase.
USAGE
Use the green/red zones to enter with momentum and ride trending moves.
Use the orange zone to stay out or fade ranges.
The step midline can act as a breakout base, pullback anchor, or bias reference.
Combine with other indicators (e.g., order blocks, divergences, or volume) to build high-confluence systems.
CONCLUSION
Step Channel Momentum Trend gives traders a clean, adaptive framework for identifying trend direction, volatility-based breakouts, and ranging environments — all from structural logic and ATR responsiveness. Its stepwise midline provides clarity, while its dynamic color-coded candles make momentum shifts impossible to miss. Whether you’re scalping intraday momentum or managing swing entries, this tool helps you trade with the market’s rhythm — not against it.
Smart Money Trap SignalSmart Money Trap Signal – Indicator Description
The Smart Money Trap Signal is a precision-based trading tool designed to identify areas where institutional traders (smart money) are likely to trap retail traders through false breakouts and liquidity grabs. These traps often occur near key highs and lows, where retail traders are lured into trades just before price reverses sharply.
🔍 Key Features:
Liquidity Sweep Detection
Identifies false breakouts of recent swing highs or lows, signaling potential liquidity grabs by large players.
Reversal Confirmation
Confirms the trap using a classic price action reversal pattern (bullish or bearish engulfing), helping filter out weak signals.
Optional Volume Spike Filter
Allows additional confirmation based on a significant spike in volume, indicating potential institutional involvement.
Buy and Sell Trap Signals
🔴 Smart Money Short (SMT↓) – Triggered when price sweeps a high and reverses down.
🟢 Smart Money Long (SMT↑) – Triggered when price sweeps a low and reverses up.
Alerts & Labels
Real-time alert conditions and on-chart labels to help you catch setups without missing opportunities.
📈 How to Use:
Apply on Higher Timeframes (1H, 4H, Daily) for cleaner signals.
Look for SMT signals at key supply/demand zones or market structure points.
Combine with your existing trading strategy, such as order blocks or break of structure (BoS), for higher accuracy.
Use volume filter only if you're analyzing markets where volume data is reliable.
⚠️ Disclaimer:
This tool is meant to assist with trade identification, not trade execution. Always use proper risk management and validate setups with your trading plan.
Next Day Key Levels [Auto-Pivot Suite] RobustNext Day Key Levels
Automatically plot key levels (Floor Pivots) for the next U.S. trading day, with smart session detection.
What does this script do?
Automatically detects the most recent completed U.S. regular trading session (9:30 AM–4:00 PM Eastern) and plots all classic Floor Pivot levels for the next trading day.
Handles Mondays and holidays: Always uses the most recent session’s data, so Friday’s values are shown on Monday, and holidays are skipped seamlessly.
Works in both pre-market and after-hours—levels appear for the next session at the right time.
Levels plotted:
Previous Session High (H)
Previous Session Low (L)
Previous Session Close (C)
Pivot (P)
Resistance 1, 2, 3 (R1, R2, R3)
Support 1, 2, 3 (S1, S2, S3)
How it works
Monitors each bar and tracks session highs/lows/close only during regular market hours.
At the close of each session (4:00 PM ET), saves these values.
In pre-market (before 9:30 AM ET) and after-hours (after 4:00 PM ET), automatically plots levels based on the last completed session—always the correct session, even on Mondays and after holidays.
Why is it better?
No clutter: Only one set of levels per day, drawn cleanly.
Accurate pivots for every next U.S. session.
Zero manual setup: Add to any U.S. ticker, on any intraday timeframe.
Features
Works across all U.S. stocks and ETFs.
Plots and labels all levels with color coding for quick reference.
Designed for intraday and short-term trading strategies.
Handles time zone and market session edge cases automatically.
How to use
Add the indicator to any U.S. equity or ETF chart (15m–1h timeframes recommended).
Levels will appear automatically in pre-market or after the market closes, always for the next session.
Trade with confidence using automatic, accurate pivots and support/resistance levels.
Developed by .
For questions or feedback, leave a comment below!
ZYTX GKDDThe ZYTX High-Sell Low-Buy Indicator Strategy is a trend-following indicator that integrates multiple indicator resonances. It demonstrates the perfect performance of an automated trading robot, truly achieving the high-sell low-buy strategy in trading.
Z-scored ZLEMA | OquantZ-Scored ZLEMA | Oquant
This indicator combines the Zero-Lag Exponential Moving Average (ZLEMA) with Z-score normalization to present recent ZLEMA values relative to its mean. It helps users observe trend direction and momentum with reduced lag, while also highlighting potential overbought or oversold levels based on how far ZLEMA values deviate from their mean.
🧠 Concept Overview
📉 Zero Lag Exponential Moving Average (ZLEMA)
The EMA is a popular tool that calculates an average price, but unlike a simple moving average, it gives more weight to recent prices. This means the EMA reacts faster to new price changes and is less affected by older data. However, even with this weighting, the EMA still introduces some lag.
ZLEMA improves on the EMA by reducing this lag. It does this by adjusting how it accounts for previous prices, effectively "shifting" the data to better align the average with current market action. The result is an average that stays smooth but responds more quickly to real price changes—helping traders spot turning points or trend shifts earlier without being fooled by random noise.
📏 Z-score Normalization
Once ZLEMA is calculated, the indicator applies Z-score normalization to measure how far the current ZLEMA value is from its mean. The Z-score expresses this difference using standard deviations, providing a clear, standardized scale. This helps highlight when price moves are unusually strong—either upward or downward—beyond normal fluctuations.
🔍 How This Indicator Works
Smooth Price Data with ZLEMA
The indicator begins by applying the Zero-Lag Exponential Moving Average (ZLEMA) to the chosen price data. Unlike a regular moving average, ZLEMA reduces the typical delay by adjusting the input data before averaging. It does this by "shifting" the price series to remove the lag caused by older prices. This way, ZLEMA stays smooth but reacts more quickly to recent price changes—helping the indicator follow market moves faster without being too noisy.
Normalize ZLEMA values Using Z-score
Once ZLEMA is calculated, the indicator applies Z-score normalization to measure how far the current ZLEMA value is from its mean. The Z-score expresses this difference in terms of standard deviations, creating a clear, standardized scale. This helps highlight when price moves are unusually strong—either up or down—beyond normal fluctuations.
Set Signal Thresholds
Two threshold levels are set on the Z-score scale—crossing above the upper threshold is considered a long (buy) signal, indicating bullish momentum, while crossing below the lower threshold is considered a short (sell) signal, indicating bearish momentum.
Show Visual Signals on the Chart
The Z-score and bars are plotted with colors: green when Z-score is above the bullish threshold, purple when Z-score is below the bearish threshold.
⚙️ Customizable Inputs
Source: Choose the price source (close, open, etc.) for calculations.
ZLEMA Length: Adjust the ZLEMA length to control smoothness versus responsiveness.
Z-score period: Set the Z-score period to define how far back the indicator measures normal price behavior.
Thresholds: Adjust the upper and lower thresholds to control how sensitive the indicator is to strong momentum changes.
📈 Practical Use
This indicator helps identify trend directions and changes faster by combining ZLEMA with statistical analysis. It highlights when price moves are stronger than normal, making it easier to spot early signs of momentum shifts. Traders can use it to confirm trends or detect potential reversals with more timely signals.
🔔 Alert Support
This indicator includes optional built-in alert conditions that notify you when the Z-score crosses above the bullish threshold (long signal) or below the bearish threshold (short signal). You can enable these alerts to get timely updates on potential momentum shifts without constantly watching the chart.
⚠️ Disclaimer: This indicator is intended for educational and informational purposes only. Trading/investing involves risk, and past performance does not guarantee future results. Always test and evaluate indicators/strategies before applying them in live markets. Use at your own risk.
Umile Indicatore – RSI + Stocastico + EMAs🔍 Overview: Multi-Signal Momentum Indicator
This custom TradingView indicator is a comprehensive technical toolkit combining:
RSI (Relative Strength Index)
Stochastic Oscillator with volume filter
Multi-period EMAs (Exponential Moving Averages)
Customizable visual BUY/SELL signals
It’s designed to detect potential momentum shifts, overbought/oversold conditions, and trend alignment, helping traders identify high-probability entries and exits based on layered confirmations.
🧠 Components Explained
✅ 1. RSI Logic
Detects price momentum and potential reversal zones.
Triggers a BUY signal when RSI crosses above a user-defined oversold level.
Triggers a SELL signal when RSI crosses below an overbought threshold.
You can choose the visual symbol (triangle, circle, or arrow) and set the color for each signal.
✅ 2. Stochastic Oscillator + Volume Filter
Identifies turning points based on the relationship between %K and %D lines.
Signals are only valid if:
A crossover occurs (e.g., %K crosses above %D for a BUY)
Price is in an extreme zone (below oversold or above overbought)
Volume is above its moving average — to filter out weak signals.
Also comes with symbol and color customization.
✅ 3. Exponential Moving Averages (EMAs)
Plots multiple EMAs: 50, 100, 144, 200, 300, 500, 1000.
These help assess trend strength and directional bias.
You can toggle the visibility of EMAs if needed.
✅ 4. Visual & Style Customization
Each signal type (RSI and Stochastic) allows:
Selection of plot shape: triangle, circle, or arrow
Custom BUY/SELL colors
Levels like RSI/Stoch overbought and oversold zones are also plotted for reference.
🎯 How to Use It
Look for confluence between RSI and Stochastic signals to validate entries.
Use EMAs as trend filters — e.g., only take long signals when price is above EMA200.
The volume filter on Stochastic helps reduce false signals in low-activity markets.
Zero Lag Trend Signals (MTF) [AlgoAlpha]// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © AlgoAlpha
//@version=5
indicator("Zero Lag Trend Signals (MTF) ", shorttitle="AlgoAlpha - 0️⃣Zero Lag Signals", overlay=true)
length = input.int(70, "Length", tooltip = "The Look-Back window for the Zero-Lag EMA calculations", group = "Main Calculations")
mult = input.float(1.2, "Band Multiplier", tooltip = "This value controls the thickness of the bands, a larger value makes the indicato less noisy", group = "Main Calculations")
t1 = input.timeframe("5", "Time frame 1", group = "Extra Timeframes")
t2 = input.timeframe("15", "Time frame 2", group = "Extra Timeframes")
t3 = input.timeframe("60", "Time frame 3", group = "Extra Timeframes")
t4 = input.timeframe("240", "Time frame 4", group = "Extra Timeframes")
t5 = input.timeframe("1D", "Time frame 5", group = "Extra Timeframes")
green = input.color(#00ffbb, "Bullish Color", group = "Appearance")
red = input.color(#ff1100, "Bearish Color", group = "Appearance")
src = close
lag = math.floor((length - 1) / 2)
zlema = ta.ema(src + (src - src ), length)
volatility = ta.highest(ta.atr(length), length*3) * mult
var trend = 0
if ta.crossover(close, zlema+volatility)
trend := 1
if ta.crossunder(close, zlema-volatility)
trend := -1
zlemaColor = trend == 1 ? color.new(green, 70) : color.new(red, 70)
m = plot(zlema, title="Zero Lag Basis", linewidth=2, color=zlemaColor)
upper = plot(trend == -1 ? zlema+volatility : na, style = plot.style_linebr, color = color.new(red, 90), title = "Upper Deviation Band")
lower = plot(trend == 1 ? zlema-volatility : na, style = plot.style_linebr, color = color.new(green, 90), title = "Lower Deviation Band")
fill(m, upper, (open + close) / 2, zlema+volatility, color.new(red, 90), color.new(red, 70))
fill(m, lower, (open + close) / 2, zlema-volatility, color.new(green, 90), color.new(green, 70))
plotshape(ta.crossunder(trend, 0) ? zlema+volatility : na, "Bearish Trend", shape.labeldown, location.absolute, red, text = "▼", textcolor = chart.fg_color, size = size.small)
plotshape(ta.crossover(trend, 0) ? zlema-volatility : na, "Bullish Trend", shape.labelup, location.absolute, green, text = "▲", textcolor = chart.fg_color, size = size.small)
plotchar(ta.crossover(close, zlema) and trend == 1 and trend == 1 ? zlema-volatility*1.5 : na, "Bullish Entry", "▲", location.absolute, green, size = size.tiny)
plotchar(ta.crossunder(close, zlema) and trend == -1 and trend == -1 ? zlema+volatility*1.5 : na, "Bearish Entry", "▼", location.absolute, red, size = size.tiny)
s1 = request.security(syminfo.tickerid, t1, trend)
s2 = request.security(syminfo.tickerid, t2, trend)
s3 = request.security(syminfo.tickerid, t3, trend)
s4 = request.security(syminfo.tickerid, t4, trend)
s5 = request.security(syminfo.tickerid, t5, trend)
s1a = s1 == 1 ? "Bullish" : "Bearish"
s2a = s2 == 1 ? "Bullish" : "Bearish"
s3a = s3 == 1 ? "Bullish" : "Bearish"
s4a = s4 == 1 ? "Bullish" : "Bearish"
s5a = s5 == 1 ? "Bullish" : "Bearish"
if barstate.islast
var data_table = table.new(position=position.top_right, columns=2, rows=6, bgcolor=chart.bg_color, border_width=1, border_color=chart.fg_color, frame_color=chart.fg_color, frame_width=1)
table.cell(data_table, text_halign=text.align_center, column=0, row=0, text="Time Frame", text_color=chart.fg_color)
table.cell(data_table, text_halign=text.align_center, column=1, row=0, text="Signal", text_color=chart.fg_color)
table.cell(data_table, text_halign=text.align_center, column=0, row=1, text=t1, text_color=chart.fg_color)
table.cell(data_table, text_halign=text.align_center, column=1, row=1, text=s1a, text_color=chart.fg_color, bgcolor=s1a == "Bullish" ? color.new(green, 70) : color.new(red, 70))
table.cell(data_table, text_halign=text.align_center, column=0, row=2, text=t2, text_color=chart.fg_color)
table.cell(data_table, text_halign=text.align_center, column=1, row=2, text=s2a, text_color=chart.fg_color, bgcolor=s2a == "Bullish" ? color.new(green, 70) : color.new(red, 70))
table.cell(data_table, text_halign=text.align_center, column=0, row=3, text=t3, text_color=chart.fg_color)
table.cell(data_table, text_halign=text.align_center, column=1, row=3, text=s3a, text_color=chart.fg_color, bgcolor=s3a == "Bullish" ? color.new(green, 70) : color.new(red, 70))
table.cell(data_table, text_halign=text.align_center, column=0, row=4, text=t4, text_color=chart.fg_color)
table.cell(data_table, text_halign=text.align_center, column=1, row=4, text=s4a, text_color=chart.fg_color, bgcolor=s4a == "Bullish" ? color.new(green, 70) : color.new(red, 70))
table.cell(data_table, text_halign=text.align_center, column=0, row=5, text=t5, text_color=chart.fg_color)
table.cell(data_table, text_halign=text.align_center, column=1, row=5, text=s5a, text_color=chart.fg_color, bgcolor=s5a == "Bullish" ? color.new(green, 70) : color.new(red, 70))
/////////////////////////////////////////ALERTS FOR SMALL ARROWS (ENTRY SIGNALS)
alertcondition(ta.crossover(close, zlema) and trend == 1 and trend == 1, "Bullish Entry Signal",
message="Bullish Entry Signal detected. Consider entering a long position.")
alertcondition(ta.crossunder(close, zlema) and trend == -1 and trend == -1, "Bearish Entry Signal",
message="Bearish Entry Signal detected. Consider entering a short position.")
/////////////////////////////////////////ALERTS FOR TREND CONDITIONS
alertcondition(ta.crossover(trend, 0), "Bullish Trend")
alertcondition(ta.crossunder(trend, 0), "Bearish Trend")
alertcondition(ta.cross(trend, 0), "(Bullish or Bearish) Trend")
alertcondition(ta.crossover(s1, 0), "Bullish Trend Time Frame 1")
alertcondition(ta.crossunder(s1, 0), "Bearish Trend Time Frame 1")
alertcondition(ta.cross(s1, 0), "(Bullish or Bearish) Trend Time Frame 1")
alertcondition(ta.crossover(s2, 0), "Bullish Trend Time Frame 2")
alertcondition(ta.crossunder(s2, 0), "Bearish Trend Time Frame 2")
alertcondition(ta.cross(s2, 0), "(Bullish or Bearish) Trend Time Frame 2")
alertcondition(ta.crossover(s3, 0), "Bullish Trend Time Frame 3")
alertcondition(ta.crossunder(s3, 0), "Bearish Trend Time Frame 3")
alertcondition(ta.cross(s3, 0), "(Bullish or Bearish) Trend Time Frame 3")
alertcondition(ta.crossover(s4, 0), "Bullish Trend Time Frame 4")
alertcondition(ta.crossunder(s4, 0), "Bearish Trend Time Frame 4")
alertcondition(ta.cross(s4, 0), "(Bullish or Bearish) Trend Time Frame 4")
alertcondition(ta.crossover(s5, 0), "Bullish Trend Time Frame 5")
alertcondition(ta.crossunder(s5, 0), "Bearish Trend Time Frame 5")
alertcondition(ta.cross(s5, 0), "(Bullish or Bearish) Trend Time Frame 5")
alertcondition(ta.crossover(close, zlema) and trend == 1 and trend == 1, "Bullish Entry")
alertcondition(ta.crossunder(close, zlema) and trend == -1 and trend == -1, "Bearish Entry")
bullishAgreement = s1 == 1 and s2 == 1 and s3 == 1 and s4 == 1 and s5 == 1
bearishAgreement = s1 == -1 and s2 == -1 and s3 == -1 and s4 == -1 and s5 == -1
alertcondition(bullishAgreement, "Full Bullish Agreement", message="All timeframes agree on bullish trend.")
alertcondition(bearishAgreement, "Full Bearish Agreement", message="All timeframes agree on bearish trend.")
XAUUSD Scalping System [MACD + EMA + UT Bot + LinReg]//@version=5
indicator("XAUUSD Scalping System ", overlay=true)
// === INPUTS ===
fastLen = input.int(8, title="MACD Fast Length")
slowLen = input.int(21, title="MACD Slow Length")
signalLen = input.int(5, title="MACD Signal Smoothing")
linregLen = input.int(14, title="Linear Regression Length")
emaLen = input.int(21, title="EMA Length")
atrPeriod = input.int(10, title="UT Bot ATR Period")
atrMultiplier = input.float(2.0, title="UT Bot ATR Multiplier")
// === EMA ===
ema = ta.ema(close, emaLen)
plot(ema, title="21 EMA", color=color.orange, linewidth=1)
// === MACD ===
macdLine = ta.ema(close, fastLen) - ta.ema(close, slowLen)
signalLine = ta.ema(macdLine, signalLen)
hist = macdLine - signalLine
macdBull = hist > 0 and hist > hist
macdBear = hist < 0 and hist < hist
// === Linear Regression ===
linreg = ta.linreg(close, linregLen, 0)
bullCandle = close > linreg
bearCandle = close < linreg
barcolor(bullCandle ? color.new(color.green, 40) : bearCandle ? color.new(color.red, 40) : na)
// === UT Bot ===
atr = ta.atr(atrPeriod)
upperBand = close + atr * atrMultiplier
lowerBand = close - atr * atrMultiplier
var float trend = na
trend := na(trend ) ? 1 : trend
trend := close > upperBand ? 1 : close < lowerBand ? -1 : trend
buyUT = ta.crossover(trend, 0)
sellUT = ta.crossunder(trend, 0)
// === ENTRY CONDITIONS ===
longCondition = buyUT and bullCandle and macdBull and close > ema
shortCondition = sellUT and bearCandle and macdBear and close < ema
plotshape(longCondition, title="BUY Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY", size=size.small)
plotshape(shortCondition, title="SELL Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL", size=size.small)
bgcolor(longCondition ? color.new(color.green, 85) : shortCondition ? color.new(color.red, 85) : na, title="Signal Background")
// === Alerts ===
alertcondition(longCondition, title="BUY Alert", message="XAUUSD BUY setup triggered!")
alertcondition(shortCondition, title="SELL Alert", message="XAUUSD SELL setup triggered!")
Opening Candle Indicator V5Details of this release:
1. Add an alert with two conditions:
- Price breaks the highest candlestick opening and closing above it.
- Price breaks the VWAP indicator value.
2. Integrate the VWAP indicator and the 200 EMA with the main indicator.
3. Display buy and sell signals based on specific conditions related to the VWAP breakout.
4. Increase target lines to five.
5. Most importantly, I added custom windows in the settings to apply the indicator to other markets based on adding the opening and closing times for any market with a daily opening and closing time.
Important note: The second buy signal, which comes after a sell signal appears, is based on two conditions: a close above the high of the previous sell signal and a close above VWAP
Warning - Buy or sell signals are only warning signals and the user is responsible for evaluating and studying this signal.
------------------------------
Same features as version 4 with some bug fixes.
------------------------------
تفاصيل هذا الإصدار:
1-أضفت تنبيه يحتوي على شرطين
-إختراق السعر الأعلى لشمعة الإفتتاح والإغلاق فوقها.
-إختراق السعر لقيمة مؤشر vwap.
2-دمج مؤشر vwap والمتوسط الأسي 200 مع المؤشرالرئيسي
3- إظهار إشارات الشراء والبيع بشروط معينة مرتبطة بإختراق vwap
4-زيادة خطوط الأهداف إلى خمس.
5- وهي الأهم أضفت نوافذ مخصصة في الاعدادت لتطبيق المؤشر على الأسواق الأخرى بناء على إضافة وقت الإفتتاح والإغلاق لأي سوق له وقت إفتتاح ووقت إغلاق يومي.
ملاحظة مهمة:إشارة الشراء الثانية والتي تأتي بعد ظهور إشارة بيع وضعت بناء على شرطين وهما الاغلاق فوق الاعلى لإشارة البيع السابقة والاغلاق فوق مؤشر VWAP
تحذير-إشارات الشراء أو البيع ليست إلا إشارات تحذيرية والمستخدم هو المسئول عن تقييم ودراسة هذه الإشارة
-----------------------------------------------------------
نفس مميزات النسخة الرابعة مع إصلاح بعض الأخطاء
----------------------------------------------------------
Opening Candle Indicator FinalAll previous versions were subject to bugs after review, so this final version has been released with the same features as previous versions and is error-free.
Note for those trading outside the Saudi and US markets: You can track any market with a specific trading session start and end time by selecting "Custom" from the settings menu and then setting the start and end times for the trading session.
جميع الاصدارات الماضية كانت بعد الفحص تصدر بعض الأخطاء البرمجية لذلك تم إصدار هذا الاصدار النهائي بنفس المميزات للإصدارات الماضية ولا يوجد بها أخطاء.
ملاحظة لكل من يتدوال خارج السوق السعودي والأمريكي : يمكن متابعة أي سوق له وقت بداية ونهاية جلسة تدوال وذلك عن طريق إختيار مخصص من قائمة الاعدادت ثم وضع وقت بداية ونهاية جلسة التدوال
Opening Candle Indicator V4
Details of this release:
1. Add an alert with two conditions:
- Price breaks the highest candlestick opening and closing above it.
- Price breaks the VWAP indicator value.
2. Integrate the VWAP indicator and the 200 EMA with the main indicator.
3. Display buy and sell signals based on specific conditions related to the VWAP breakout.
4. Increase target lines to five.
5. Most importantly, I added custom windows in the settings to apply the indicator to other markets based on adding the opening and closing times for any market with a daily opening and closing time.
Important note: The second buy signal, which comes after a sell signal appears, is based on two conditions: a close above the high of the previous sell signal and a close above VWAP
Warning - Buy or sell signals are only warning signals and the user is responsible for evaluating and studying this signal.
**Fixed some errors in the previous script
تفاصيل هذا الإصدار:
1-أضفت تنبيه يحتوي على شرطين
-إختراق السعر الأعلى لشمعة الإفتتاح والإغلاق فوقها.
-إختراق السعر لقيمة مؤشر vwap.
2-دمج مؤشر vwap والمتوسط الأسي 200 مع المؤشرالرئيسي
3- إظهار إشارات الشراء والبيع بشروط معينة مرتبطة بإختراق vwap
4-زيادة خطوط الأهداف إلى خمس.
5- وهي الأهم أضفت نوافذ مخصصة في الاعدادت لتطبيق المؤشر على الأسواق الأخرى بناء على إضافة وقت الإفتتاح والإغلاق لأي سوق له وقت إفتتاح ووقت إغلاق يومي.
ملاحظة مهمة:إشارة الشراء الثانية والتي تأتي بعد ظهور إشارة بيع وضعت بناء على شرطين وهما الاغلاق فوق الاعلى لإشارة البيع السابقة والاغلاق فوق مؤشر VWAP
تحذير-إشارات الشراء أو البيع ليست إلا إشارات تحذيرية والمستخدم هو المسئول عن تقييم ودراسة هذه الإشارة
**اصلاح بعض الاخطاء في السكربت الماضي
Momentum + Heatmap with RSI Cross (Nikko)📘 User Manual: Momentum + Heatmap with RSI Cross (Nikko)
Version: 1.0
Author: Cryptonikkoid
Platform: TradingView – Pine Script v6
License: Mozilla Public License 2.0
Release Date: June 2025
🔍 Overview
The Momentum + Heatmap with RSI Cross is an advanced visual indicator designed to replace traditional oscillators by merging multiple indicators into one. It blends Vortex, Stochastic, RSI, and MACD into a unified, mathematically enhanced momentum signal. This tool highlights trend shifts, potential reversals, and momentum build-up with intuitive visuals and alert signals.
The indicator includes:
A hybrid oscillator reflecting directional strength and momentum.
A heatmap background representing RSI × Vortex energy.
Buy/Sell triangle alerts based on RSI-style crossovers.
A clean layout optimized for decision-making speed.
⚙️ How It Works
Vortex Strength
The indicator computes Vortex Positive (VI+) and Vortex Negative (VI–) over a user-defined period.
The difference between the two creates a directional bias signal (viDiff).
Stochastic Momentum
The viDiff value is normalized through a stochastic oscillator, producing smoothed %K and %D curves.
These curves serve as the base for momentum signals.
RSI and Long-Term RSI
The RSI is computed and normalized to a 0–1 scale.
A long-term RSI (5× period) is also calculated to act as a trend anchor.
MACD Filtering
A MACD calculation determines whether the market is in a bullish or bearish condition.
The hybrid signals are flipped accordingly to follow the broader trend.
Hybrid Oscillator Construction
%K and %D are multiplied by exponential factors of RSI and long RSI.
This adds acceleration to the signals when momentum is increasing rapidly.
RSI Cross Detection
When the hybrid %K crosses above hybrid %D, a Sell triangle appears (potential peak).
When it crosses below, a Buy triangle appears (momentum reversal).
Heatmap Background
A visual background shows the interaction between Vortex and RSI energy.
Colors shift from deep purple (low momentum) to blue (strong bullish energy).
The heatmap can be toggled on/off for clarity.
Alerts
Built-in alert conditions allow you to be notified instantly on buy/sell signals.
🧠 How to Use
Apply the Indicator
Add it to any chart on TradingView.
It works best on trending assets and volatile conditions like crypto or indices.
Read the Hybrid Oscillator
Use the hybrid %K and %D like a momentum wave.
Strong upward waves + a green heatmap = potential long.
Sharp downward spikes + fading heatmap = caution or potential exit.
Watch the Triangles
A green triangle below a bar suggests a buy signal — momentum is reversing upward.
A red triangle above a bar signals momentum exhaustion — potential sell or take profit.
Heatmap Guidance
When the background is faint or fades to purple, it indicates weak conditions.
Blueish tones signal growing bullish strength.
Use with Price Action
Combine triangle alerts with support/resistance, price structure, or volume.
This indicator is not a standalone entry tool, but a strong directional filter.
✅ Benefits
Single Indicator Solution: Replaces multiple tools like MACD, RSI, and Stochastic.
Momentum + Trend Fusion: Combines short-term reversals with long-term trend confirmation.
Visual Simplicity: Clear oscillator waves, triangle icons, and color-coded heatmaps reduce decision fatigue.
Built-in Alerts: Get notified the moment momentum shifts.
Customizable: You can tweak lengths and smoothing for your asset and timeframe.
⚠️ Limitations
Slight Lag: Smoothing adds stability but can delay signals by a few candles.
Whipsaw in Sideways Markets: Like all momentum tools, performance is better in trending conditions.
Requires Confirmation: Best used with other tools like structure or volume to confirm trades.
Experimental Math: This is an experimental formulation; more feedback could help fine-tune signal logic.
🔁 What's New Compared to Traditional Indicators
Unlike using RSI, MACD, or Stochastic separately, this indicator:
Integrates all three into a unified momentum model.
Adds long-term RSI filtering to reduce noise.
Uses exponential scaling to enhance signal acceleration.
Features heatmap visualization to intuitively show energy buildup.
Provides actionable visual alerts without relying solely on numeric values.
🛠️ Tips and Customization
Adjust the rsiLength, viLength, and MACD settings for different markets (e.g. faster for scalping, slower for swing).
Toggle off the heatmap if you prefer a cleaner look using the checkbox.
Use higher timeframes (4h, 1D) for swing trading or lower timeframes (15m–1h) for intraday.
Combine with volume spikes or trendlines to enhance trade confirmation.
Add alertcondition() messages to trigger webhook or mobile alerts.
🎯 Final Thoughts
Momentum + Heatmap with RSI Cross simplifies the complexity of momentum analysis into a smooth, visually intuitive signal. It helps identify entry zones early, avoid chasing reversals blindly, and gives clear exit alerts based on dynamic crossovers.
If you want cleaner charts with smarter momentum tracking — this tool is built for that.
Fair Value GapsFair Value Gaps Indicator
The Fair Value Gaps (FVG) Indicator is a sleek, lightweight tool designed to identify and display unfilled fair value price gaps on any chart and timeframe. It dynamically updates as price moves into gaps, shrinking the displayed area to show only the remaining unfilled portion until the gap is fully closed. With a user-friendly settings panel, traders can customize visuals to suit their style, including a minimalist version.
Features
When a valid FVG is detected through a three-candle pattern, a box appears, highlighting the precise gap range. As price enters the gap, the box adjusts to reflect the remaining unfilled area, and when fully filled, the gap is deleted, allowing new gaps to appear. The settings panel offers robust customization for a tailored experience.
Preset Styles :
Custom : Define your own color and zone extension settings. (Default)
Blue Boxes : Blue gaps with 85% transparency and zones extended to the right.
Minimalist Yellow : Yellow gaps with 75% transparency, confined to the original gap area on the candlestick.
Color : Change the gap color and transparency.
Extend FVG Zone : Enable or disable zone extension to the right.
Show Borders : Toggle subtle borders on or off for enhanced visibility.
Maximum FVGs Displayed : Change the number of gaps displayed on the chart.
Thank you for your interest in my work. I use these fair value gaps as part of my trade trigger for many of my trade entries almost every day. If you have any comments, bugs, or suggestions, please leave them here, or you can find me on Twitter or Discord.
@ ContrarianIRL
Open-source developer for over 25 years
Smoothed CMF-ROC Trend (Auto TF Adjust)This Trend is adjusted for multi time frame. It measure CMF and its rate of change. Changes colors if crosses the zero line
