Digital MACD Divergences MTF [LUPEN]Digital MACD Divergences MTF V1.0
Overview:
Digital MACD Divergences MTF is an advanced momentum oscillator based on digital signal processing techniques.
Instead of relying on traditional moving-average smoothing, it applies Finite Impulse Response (FIR) digital filters to extract momentum more cleanly, reducing lag and short-term market noise.
The indicator is designed to provide a clear visualization of momentum structure, divergence behavior, and multi-timeframe context, rather than discrete trading signals.
Conceptual Architecture
At its core, the indicator reinterprets the classic MACD framework through digital convolution logic:
FIR filters are used to compute momentum in a more responsive and stable manner than standard EMA-based MACD.
The resulting histogram represents momentum intensity and direction as a continuous state rather than binary conditions.
A digitally smoothed signal line provides structural reference without introducing excessive delay.
This approach emphasizes momentum quality and structure, not signal frequency.
Divergence Detection Logic:
The script includes automatic divergence detection based on pivot analysis:
Regular bullish and bearish divergences are identified using confirmed pivot points.
Divergences are visualized with explicit line structures and optional filled areas, highlighting the zone of disagreement between price behavior and momentum.
The visualization is designed to remain readable without obscuring price action.
Divergences are presented as contextual information, not as mandatory actions.
Multi-Timeframe (MTF) Context
Digital MACD Divergences MTF supports native multi-timeframe analysis through a dual-pane workflow:
A lower-timeframe instance visualizes local momentum dynamics.
A higher-timeframe instance visualizes the broader momentum regime within which lower-timeframe fluctuations occur.
The higher-timeframe view is not intended as confirmation or filtering logic, but as a contextual background layer that helps interpret short-term momentum behavior inside a larger structural environment.
This separation avoids decision compression and keeps each timeframe’s role conceptually distinct.
Visual Design
Gradient-based histogram fills represent momentum intensity in a continuous manner.
Positive and negative momentum regions are clearly differentiated while remaining adaptable to both dark and light chart themes.
All visual elements are designed to emphasize state and regime, not discrete events.
Reliability
No repainting: all divergences and momentum states are confirmed on candle close and remain fixed.
Designed for consistency across instruments and timeframes.
Customization Options
Timeframe selection for MTF mode (leave empty to use the chart’s timeframe).
Adjustable signal smoothing parameters.
Divergence visibility controls, pivot sensitivity, and optional divergence fill.
Fully customizable color palette.
Usage Notes
This indicator is a visual market analysis tool intended to support momentum interpretation and structural context.
It does not provide investment advice, trading signals, or automated decision logic, and should be used as part of a broader analytical framework.
Final quotes:
"Trading is not about prediction, but about understanding momentum structure.
Digital MACD removes noise to make that structure visible."
Multitimeframe
BMM V2 FIANL VERSION UPDAATE 2026 ⚙️ Optimized Trading Guide — MWABUFX 15-Minute Intraday Setup
🕒 Recommended Timeframe
✅ 15-Minute Chart (M15) — the most balanced and accurate for MWABUFX.
Why M15 Works Best:
Filters out small, noisy market movements found on 1m–5m charts.
Responds faster than 1H or 4H, perfect for daily profits.
Aligns well with market session volatility (London & New York).
Gives 2–5 high-probability trades per day depending on the pair.
Ideal for traders using PineConnector automation or manual execution.
🧭 How to Trade on 15-Minute
🟢 Buy Setup
EMA 238 is sloping upward and price is above it.
Supertrend flips green — wait for candle to close above the line.
Confirm trend direction on 1H timeframe (optional filter).
Enter trade at the close of the signal candle.
Stop-Loss: below recent swing low.
Take Profits:
TP1 → 1:1
TP2 → 1:2
TP3 → 1:3
Move SL to breakeven after TP1 is hit.
🔴 Sell Setup
EMA 238 is sloping downward and price is below it.
Supertrend flips red — wait for candle to close below the line.
Confirm 1H trend also bearish (optional).
Enter trade at the candle close.
Stop-Loss: above recent swing high.
Take Profits: TP1, TP2, TP3 as above.
🕐 Best Trading Hours (Kenya Time / GMT+3)
Session Time Ideal Pairs Notes
London Session 10:00 AM – 2:00 PM GBPUSD, EURUSD, Gold Cleanest 15-min trends
New York Session 3:30 PM – 7:00 PM US30, NAS100, XAUUSD, GBPUSD Strong volatility, high RR trades
Avoid After 8:30 PM — Market slows down, spreads widen
📌 If you must choose one — trade 15-minute charts during London–New York overlap (3:30 PM – 6:30 PM).
⚖️ Risk & Profit Strategy
Risk only 1–2% of balance per trade.
Focus on 1–3 solid setups per session — no overtrading.
Aim for minimum 1:2 reward-to-risk ratio.
Avoid entries when EMA 238 is flat (ranging market).
💡 Pro Tips
Use “Close of Candle” confirmation — avoid jumping in mid-bar.
Combine with session bias (e.g. buy Gold during bullish NY momentum).
Use alerts through PineConnector to catch trades instantly.
Don’t trade during major red news (NFP, CPI, FOMC).
Journal every trade — review TP/SL behavior to improve timing.
Institutional Flow Journey v2Institutional Flow Journey v2: A Comprehensive Analysis of Order Flow Edge for Retail Traders:
1. The Institutional Flow Journey v2 indicator represents a sophisticated attempt to democratize institutional-grade market analysis by bringing order flow concepts traditionally reserved for professional trading desks into the accessible realm of TradingView's Pine Script ecosystem. At its core, this indicator is built on the fundamental premise that markets move not on price action alone, but on the underlying battle between buying and selling pressure at specific price levels, and that by analyzing this pressure at granular timeframes, retail traders can gain insights into where institutional players are positioning themselves for significant moves. The script employs a multi-layered approach that combines volume delta analysis, absorption zone identification, exhaustion pattern recognition, and journey metrics to paint a comprehensive picture of market participant behavior during critical junctures in price discovery.
2. The technical foundation of this indicator rests on the concept of clustering lower timeframe data into meaningful analytical periods. Rather than analyzing every single second or five-second bar independently, the script aggregates this granular data into user-defined clusters, typically ranging from thirty seconds to five minutes depending on the chosen resolution and cluster settings. This clustering approach serves a dual purpose: it reduces noise inherent in tick-level data while preserving the essential information about volume distribution and directional bias within each period. By requesting lower timeframe data using TradingView's security function with the lower_tf parameter, the indicator gains access to intrabar information that would otherwise be invisible on standard chart timeframes. This is where the real power emerges, as each cluster becomes a window into the micro-structure of order flow, revealing whether buyers or sellers were more aggressive during specific price ranges.
3. The volume delta calculation methodology employed in this script is particularly noteworthy for its pragmatic approach to estimating buy versus sell volume in the absence of true tape reading data. Since most retail platforms, including TradingView, do not provide genuine bid-ask level execution data, the indicator uses a price-weighted approximation that assumes closes near the high of a bar represent buying pressure while closes near the low indicate selling pressure. The formula divides volume proportionally based on where the close occurred within the bar's range, creating synthetic buy and sell volume metrics. While this approximation has limitations compared to actual Level 2 data or time and sales information, it provides a remarkably consistent proxy for directional pressure when analyzed across multiple bars and clusters. The aggregation of these individual bar calculations into cluster-level metrics creates a smoothed representation of flow that filters out the random noise of individual transactions while highlighting persistent directional bias.
4. What makes this approach particularly valuable for retail traders is how it addresses the fundamental information asymmetry that exists in modern markets. Institutional traders have access to sophisticated order flow tools, dark pool data, and execution algorithms that provide real-time visibility into supply and demand imbalances. Retail traders, conversely, typically rely on delayed price charts and basic technical indicators that show only the outcome of these battles rather than the battle itself. The Institutional Flow Journey v2 bridges this gap by reconstructing order flow narratives from publicly available price and volume data. When the indicator identifies absorption at lows, it is detecting a pattern where significant volume traded at depressed price levels but prices failed to continue lower, suggesting that institutional buyers stepped in to absorb all available selling pressure. This is precisely the type of behavior that precedes significant reversals, as it indicates a shift in the balance of power from sellers to buyers at a specific price zone.
5. The concept of absorption zones represents one of the most sophisticated elements of this indicator's analytical framework. The script divides each session's price range into quartiles and focuses particular attention on the bottom twenty-five percent and top twenty-five percent of the range. These zones are not arbitrary; they represent areas where price tested extremes and where the market's response to those extremes reveals critical information about participant intentions. When price reaches the lower zone and significant volume trades there, the script analyzes the composition of that volume. If buy volume dominates or approaches parity with sell volume despite being at session lows, this indicates absorption—institutional players are willing to accumulate positions at depressed prices. The script quantifies this by calculating volume ratios relative to average cluster volume, delta percentages within the zone, and buy-to-sell ratios. The combination of these metrics creates a multi-dimensional view that goes far beyond simple support and resistance concepts.
6. Exhaustion analysis forms the second pillar of the indicator's edge-generating methodology. Unlike absorption, which focuses on volume composition at price extremes, exhaustion analysis examines the temporal pattern of buying or selling pressure as price approaches and leaves those extremes. The script calculates average sell volume in the clusters immediately preceding the session low and compares this to average sell volume in clusters immediately following the low. A significant decrease in selling pressure after the low indicates seller exhaustion—the participants who were aggressively pushing price lower have either completed their selling or lost conviction. This creates a vacuum that often leads to rapid reversals as even modest buying pressure encounters diminished resistance. The same logic applies inversely at session highs, where declining buy volume after the peak suggests buyer exhaustion. By quantifying these pressure changes as percentage deltas, the indicator provides objective measures of phenomena that discretionary traders might sense intuitively but struggle to quantify systematically.
7. The journey metrics component adds a dynamic dimension to what would otherwise be a static zone analysis. Once the script identifies session extremes and analyzes the absorption and exhaustion characteristics at those levels, it then tracks how price has developed since leaving those zones. The delta since low metric accumulates the net buying or selling pressure across all clusters that have formed since the session low was established. If this cumulative delta is strongly positive and growing, it confirms that the initial absorption and exhaustion signals were genuine precursors to a trend change rather than temporary imbalances. The script also counts directional clusters, tallying how many bullish versus bearish periods have formed since each extreme. A healthy recovery from a low should show predominantly bullish clusters with strong cumulative positive delta, while a distribution phase after a high should show the inverse. These journey metrics transform static level analysis into a narrative framework that tracks the market's evolving story bar by bar.
8. The scoring system that synthesizes all these analytical threads into actionable signals represents the indicator's practical edge for trading decisions. Rather than relying on a single metric or threshold, the script employs a weighted scoring approach that considers absorption presence, exhaustion confirmation, recovery or pullback degree, delta characteristics, cluster directional bias, and position relative to the session's volume-weighted average price. Bull scores accumulate points when absorption appears at lows, selling exhausts, price recovers significantly from lows, delta turns positive, winning clusters dominate the journey from the low, and price trades above VWAP. Bear scores accumulate through the inverse conditions. The relative magnitude of these scores, combined with specific combinations of high-value signals, determines the final classification ranging from strong accumulation to strong distribution, with various intermediate states of bullish lean, bearish lean, and neutral conditions. This multi-factor approach reduces false signals that plague single-metric systems while increasing confidence when multiple confirming factors align.
9. The emphasis on using one-second intrabar resolution deserves particular attention as it fundamentally impacts the quality and reliability of the analysis. When the script operates on one-second data, each cluster of sixty seconds contains sixty individual data points, each representing a discrete moment in price discovery. This granularity allows for highly accurate volume delta calculations because the approximation errors in any single second are minimized through the law of large numbers when aggregated across sixty readings. More importantly, one-second data captures institutional order flow with minimal latency. Large institutional orders, even when sliced into smaller pieces by execution algorithms, leave footprints across multiple seconds that become visible in the micro-structure. A five-hundred-lot accumulation order might execute over two minutes, appearing as consistent buying pressure across a hundred and twenty one-second bars clustered into two sixty-second periods. On a five-second or fifteen-second resolution, much of this granular information blurs together, reducing the indicator's ability to distinguish genuine persistent flow from random volatility. The computational cost of processing one-second data is negligible on modern systems, making this the optimal choice for traders seeking maximum analytical precision.
10. The practical application of this indicator in real trading scenarios involves understanding both its strengths and the market contexts where it provides maximum edge. The indicator performs best during range-bound sessions where price tests both highs and lows, creating the absorption zones and exhaustion patterns that form the basis of its analysis. In strong trending markets that never test significant support or resistance, the indicator may remain neutral or provide late signals as it requires price to establish extremes before analyzing behavior at those levels. This characteristic actually serves as a protective feature, keeping traders out of difficult-to-trade environments where reversal patterns are less reliable. When the indicator flashes its strongest signals—strong accumulation or strong distribution—the alignment of absorption, exhaustion, recovery, and positive delta creates a high-probability setup that justifies aggressive position sizing. The intermediate signals like "absorbing at lows" or "sellers exhausted" represent earlier-stage patterns that might be suitable for scaling into positions or heightened monitoring rather than full commitment.
11. Integration with other analytical frameworks significantly enhances the indicator's practical utility. While the Institutional Flow Journey v2 provides exceptional insight into micro-structure and order flow, combining it with higher timeframe structural analysis creates a powerful multi-timeframe edge. For example, if the daily chart shows price approaching a key support level and the intraday indicator begins showing absorption at lows with seller exhaustion on one-second clusters, the confluence of structural and flow-based signals multiplies the probability of a significant reversal. Similarly, pairing the indicator with order block analysis or liquidity pool mapping helps identify where institutional players might be targeting for their accumulation or distribution activities. The indicator's VWAP integration already provides one layer of this context, as institutional traders commonly use VWAP as both a benchmark and a tactical reference point, making its inclusion in the scoring system particularly relevant.
12. The visual presentation of the analysis through both the dashboard and on-chart elements demonstrates thoughtful design that balances information density with usability. The dashboard provides a comprehensive view of all analytical components, allowing traders to understand not just the final signal but the underlying evidence supporting that conclusion. This transparency is crucial for building trust in the indicator's logic and for educational purposes as traders learn to recognize these patterns independently. The zone boxes overlaid on the chart provide immediate visual context about where absorption or distribution occurred relative to current price, while the VWAP line offers a real-time reference for bias. The color-coding throughout the interface uses conventional green for bullish and red for bearish elements, reducing cognitive load and allowing quick interpretation during fast-moving markets. The signal strength visualization helps traders distinguish between high-conviction setups worthy of larger risk and lower-conviction ideas suitable for reduced size or paper trading.
13. From a risk management perspective, the indicator's graduated signal framework aligns well with position sizing principles. Strong accumulation signals with scores of six or higher and confirmed absorption plus exhaustion might justify position sizes at the upper end of a trader's risk tolerance, perhaps two to three percent of capital on the trade. Lean bullish signals with scores in the three to four range might warrant more conservative sizing at one percent or less. The neutral classification serves as an explicit instruction to preserve capital and avoid forcing trades when edges are absent. This built-in risk guidance helps traders avoid the common pitfall of treating all signals as equally valid, a mistake that often leads to giving back profits from high-quality setups on mediocre trades. The alert conditions for the strongest patterns enable traders to monitor multiple instruments without constant chart observation, expanding opportunity capture across a broader universe of potential trades.
14. The indicator's contribution to the Pine Script ecosystem extends beyond its immediate trading utility into the realm of education and free to use innovations. The code structure demonstrates advanced Pine Script techniques including multi-dimensional array management, complex conditional logic, dynamic table rendering, and sophisticated lower timeframe data handling. For developers, studying this script provides a masterclass in organizing complex analytical workflows within Pine Script's unique programming constraints. The separation of concerns into distinct phases—data collection, cluster building, zone analysis, exhaustion detection, journey tracking, scoring, and visualization—creates maintainable code that other developers can adapt for their own analytical needs. The comprehensive commenting throughout the script further enhances its educational value, explaining not just what the code does but why specific approaches were chosen.
15. The philosophical approach underlying this indicator challenges the conventional wisdom that retail traders should stick to simple moving averages and basic momentum indicators. While simplicity has its place, especially for beginners, the reality of modern markets is that edges are increasingly difficult to find and maintain. The proliferation of algorithmic trading and the professionalization of retail trading through education and better tools means that obvious patterns get arbitraged away quickly. Indicators like the Institutional Flow Journey v2 represent the next evolution in retail technical analysis, bringing institutional-grade concepts within reach of individual traders willing to invest time in understanding more sophisticated market mechanics. The learning curve is steeper than basic indicators, but the potential edge justifies the investment for serious traders committed to long-term profitability.
16. The script's handling of data limitations and approximations reveals mature design thinking about the real-world constraints of retail trading infrastructure. Rather than claiming to provide perfect order flow data that would require exchange-level access, the indicator makes reasonable approximations and combines multiple imperfect metrics to arrive at robust conclusions. This ensemble approach, where multiple independent measures must align to generate the strongest signals, creates a system that is greater than the sum of its parts. Even if the buy-sell volume approximation is only seventy percent accurate and the exhaustion detection occasionally produces false positives, the requirement that both confirm alongside other factors dramatically reduces the likelihood that all metrics would simultaneously generate false positives. This principle of convergent validation mirrors how institutional research teams operate, requiring multiple analysts using different methodologies to reach similar conclusions before committing significant capital.
18. The temporal aspects of the indicator's design also merit consideration, particularly regarding the cluster duration parameter. The default sixty-second clusters represent a sweet spot for intraday trading, providing enough aggregation to smooth random noise while maintaining sufficient granularity to catch institutional flow patterns. Traders on different timeframes might experiment with this parameter—scalpers might prefer thirty-second clusters for faster signal generation, while position traders working off fifteen-minute or hourly charts might extend clusters to two or three minutes. The key is maintaining the relationship between the underlying data resolution and the cluster period. Thirty-second clusters work best with one-second data, which provides thirty data points per cluster. Using thirty-second clusters with fifteen-second data would yield only two data points per cluster, insufficient for meaningful statistical analysis. This relationship underscores again why one-second resolution provides optimal results across the widest range of cluster settings.
19. Looking at the indicator through the lens of market microstructure theory, it effectively operationalizes concepts from academic research on order flow and price discovery. The absorption detection mirrors studies on iceberg orders and hidden liquidity, where large institutional players place orders beyond what is visible in the order book, absorbing all incoming flow at specific price levels without revealing their full intentions. The exhaustion patterns relate to theories of inventory management by market makers and the depletion of available liquidity at price extremes. The journey metrics connect to momentum and trend continuation research, examining how price develops after significant events. By synthesizing these academic concepts into a practical trading tool, the indicator bridges the gap between theoretical market understanding and actionable trading methodology. This academic grounding provides confidence that the patterns being detected have sound theoretical foundations rather than being mere curve-fitted historical artifacts.
20. In the broader context of trading system development, this indicator serves as an excellent foundation for a complete trading methodology. A trader could build an entire approach around waiting for the strong accumulation or strong distribution signals, using them as entry triggers with clearly defined stops and targets. The position of price relative to the session range provides natural stop placement—accumulation signals near session lows might use a stop just below the absorption zone, while distribution signals near session highs would place stops above the distribution zone. Profit targets might reference the opposite extreme of the session range or previous day's value areas. The indicator's frequent updates as new clusters form provide dynamic information for trade management, allowing traders to exit if absorption fails to hold or if exhaustion reverses into renewed pressure in the original direction. This complete framework from signal generation through risk management to trade management represents a significant advantage over indicators that only provide entries without guidance on the complete trade lifecycle.
21. The indicator ultimately delivers substantial value to the Pine Script universe and the retail trading community by making sophisticated order flow analysis accessible without requiring expensive third-party platforms or institutional-level data feeds. It demonstrates that with creative thinking and sound methodology, retail traders can construct powerful analytical tools using only the data available through standard charting platforms. The open-source nature of Pine Script means that traders can examine every line of code, understand exactly how signals are generated, and modify the logic to suit their specific trading styles and market preferences. This transparency and customizability represent a profound democratization of trading technology, shifting power from proprietary black-box systems toward open, verifiable, community-driven innovation. For traders willing to invest the time to understand its mechanics and apply it thoughtfully within a comprehensive trading plan, the Institutional Flow Journey v2 offers a genuine edge in the ongoing challenge of extracting consistent profits from financial markets.
Aegis MTF Anchor BandsAegis MTF Anchor Bands（神盾多周期结构锚点）— 非重绘多周期参考层工具
概述
本脚本用于在同一张图表上展示多个时间周期的结构参考层（Anchor Layers），以非重绘方式将不同周期的参考带与参考线映射到当前周期，减少频繁切换周期带来的上下文断层。脚本提供结构一致性（Confluence）仪表盘，用于快速识别多周期锚点的“聚合/分散”状态。
核心输出
Anchor Band（参考带）： 同一周期的两条结构锚点之间形成水平延伸的参考范围，用于观察价格处于结构区间内部/外部的状态。
Anchor Line（参考线）： 关键结构锚点以水平延伸方式显示，便于检查多周期一致性与冲突。
State Coloring（状态配色）： 参考层颜色根据价格与该周期结构锚点的相对位置变化，用于状态提示（不构成交易信号）。
Confluence Dashboard（结构一致性面板） ：输出数值评分与 Low/Med/High 三档状态，辅助判断多周期锚点是否集中重叠。
如何使用
趋势过滤： 多周期锚点方向与位置更一致时，结构一致性通常更强；冲突增多时更容易进入震荡或切换阶段。
回撤观察： 价格回撤时与参考带/参考线的交互，可用于评估回撤是否仍在结构可接受范围内。
结构区域识别： 当锚点高度重叠（Confluence 较高）时，往往对应关键结构区，需要结合周期与品种确认。
限制
该工具用于结构观察与信息整合，不预测未来价格，不保证信号有效性。请结合风险控制与交易计划使用。
English (brief)
Aegis MTF Anchor Bands — Non-Repainting Multi-Timeframe Reference Layers (Invite-only)
Overview
This script visualizes multiple timeframe anchor layers on a single chart using non-repainting MTF data requests. It aligns extended anchor bands and lines to the active chart to reduce context loss from frequent timeframe switching. A built-in Confluence dashboard summarizes multi-timeframe clustering vs. dispersion.
Outputs
Anchor Bands, Anchor Lines, state coloring based on anchor-relative location (not a trading signal), and a Confluence dashboard with a numeric score plus Low/Med/High states.
Limitations
Analytical visualization tool only. Not predictive and not financial advice.
stelaraX - TrendFriendstelaraX – TrendFriend is a fast, visually clean trend indicator based on a 6-moving-average cluster. Market direction is determined using a robust fast-vs-slow system: as soon as multiple fast MAs consistently move above or below the baseline, TrendFriend switches into a bullish or bearish state.
The current trend becomes instantly visible through a dynamic MA cloud with gradient bands, trend-colored candles, and precise trend-change labels (“Bull” / “Bear”). Integrated alerts allow for push notifications, email alerts, or webhook automation whenever the trend changes.
TrendFriend is ideal as a trend filter for pullback trades, trend continuation setups, and structured directional bias decisions across Forex, crypto, indices, and commodities.
This script is provided by invitation only.
🔹 Request Access:
Please send me a E-Mail to hello@stelarax.com including your TradingView username and a short note about which market and timeframe you intend to use the indicator on.
🔹 Access Approval:
Access is granted manually after review. Once approved, you will receive a notification directly from TradingView.
🔹 Important Notes:
The source code is protected and not publicly accessible.
Redistribution, duplication, or resale of this script is strictly prohibited.
This indicator does not constitute financial or investment advice and is intended solely as an analysis and visualization tool.
Use of this script is at your own risk.
🔹 Support & Updates:
Active users receive access to updates and ongoing improvements as part of the continuous development of stelaraX.
Triple MA Alignment [odnac]
Overview
The Triple MA Alignment indicator is a powerful tool designed to visualize and analyze the alignment of three moving averages (MAs) with customizable types and lengths. It helps traders identify trends and potential reversal points by displaying the relative positions of three MAs and marking specific alignment patterns on the chart. This indicator is ideal for traders looking to understand market momentum and trend direction through moving average crossovers and alignments.
Features
Customizable Moving Average Types: Choose from Simple Moving Average (SMA), Exponential Moving Average (EMA), Smoothed Moving Average (SMMA/RMA), Weighted Moving Average (WMA), or Volume-Weighted Moving Average (VWMA).
Flexible MA Lengths: Adjust the lengths of three moving averages to suit your trading strategy (default lengths: 7, 25, 99).
Alignment Detection: Identifies six unique MA alignment patterns (A1 to A6) based on the relative positions of the three MAs.
Visual Cues: Plots MAs on the chart with distinct colors and marks alignment patterns with shapes and labels for easy interpretation.
Special Signals: Highlights specific transitions (e.g., "P" and "B" for A1, "P" and "S" for A4) to indicate potential trend changes or continuations.
How It Works
The indicator calculates three moving averages based on user-selected type and lengths. It then analyzes their relative positions to detect six possible alignment patterns:
A1 (1-2-3): MA1 > MA2 > MA3 (Strong bullish alignment)
A2 (2-1-3): MA2 > MA1 > MA3
A3 (2-3-1): MA2 > MA3 > MA1
A4 (3-2-1): MA3 > MA2 > MA1 (Strong bearish alignment)
A5 (3-1-2): MA3 > MA1 > MA2
A6 (1-3-2): MA1 > MA3 > MA2
When an alignment occurs, a shape (square, diamond, or circle) is plotted at the top or bottom of the chart, depending on the pattern. Additionally, when the alignment changes, a text label (e.g., "2", "3", "5", "6") is displayed to highlight the new pattern. Special signals ("P", "B", "S") are plotted for specific transitions to indicate potential trading opportunities.
Settings
Show Triple MA: Toggle to display or hide the three moving averages on the chart.
Show Triple MA Edge: Toggle to display or hide alignment shapes and labels.
MA Length 1, 2, 3: Set the periods for the three moving averages (default: 7, 25, 99).
MA Type: Select the moving average type (SMA, EMA, SMMA, WMA, VWMA).
Usage
Add the Indicator: Apply the indicator to your TradingView chart.
Adjust Settings: Customize MA lengths and type to match your trading style (e.g., shorter lengths for scalping, longer for swing trading).
Interpret Alignments:
A1 (Green Square): Indicates a strong bullish trend, often a signal to consider long positions.
A4 (Red Square): Indicates a strong bearish trend, often a signal to consider short positions.
A2, A3, A5, A6: Represent transitional or consolidation phases, useful for identifying potential reversals or continuations.
Special Signals (P, B, S): Watch for "P" (Pullback), "B" (Breakout), or "S" (Sell) labels for additional context.
Combine with Other Tools: Use alongside support/resistance levels, volume analysis, or other indicators for confirmation.
FVG & OB [odnac]This indicator is a sophisticated tool designed for Smart Money Concepts (SMC) traders. It automates the detection of two critical institutional footprints: Order Blocks (OB) and Fair Value Gaps (FVG), with a focus on candle momentum and mitigation tracking.
Key Features
1. Advanced Momentum Filtering (3 Versions)
Unlike basic indicators, this script uses three different mathematical approaches to ensure the middle candle represents a "strong" move:
V1 (Body Focus): Compares the bodies of the surrounding candles to the middle candle.
V2 (Hybrid): Uses a mix of candle ranges and bodies to identify expansion.
V3 (Range Focus): The most aggressive filter; it ensures the total range of the middle candle dwarfs the surrounding candles.
2. Automatic Mitigation Tracking
The indicator doesn't just draw static boxes. It tracks price action in real-time:
Dynamic Extension: Boxes extend to the right automatically as long as price has not returned to "test" or "fill" the zone.
Smart Clean-up: Once the price touches the zone (Mitigation), the box stops extending or is removed. This keeps your chart clean and focused only on "fresh" (unmitigated) levels.
3. Smart Money Concept Integration
Order Blocks (White Boxes): Identifies where institutional buying or selling occurred before a strong move.
Fair Value Gaps (Yellow Boxes): Highlights price imbalances where the market moved too fast, leaving a gap that often acts as a magnet for future price action.
Technical Logic Breakdown
Detection Logic
The script looks at a 3-candle sequence:
Candle (The Origin): Defines the boundary of the OB or FVG.
Candle (The Expansion): Must be a "Strong Candle" based on your selected setting (V1, V2, or V3).
Candle (The Confirmation): Ensures that the "Tail Gap" condition is met (the wick of Candle 2 and Candle 0 do not touch).
Box Management
The script uses Pine Script Arrays to manage up to 500 boxes. It constantly loops through active boxes to check:
Time Limit: If a box exceeds the max_bars_extend limit, it is removed to save memory.
Price Touch: If low or high enters the box coordinates, the zone is considered "mitigated" and the extension stops.
Simple PDH / PDL Clean Entries (NZ Time)Simple PDH / PDL Liquidity Entry Indicator
This indicator is designed for clean, stress-free intraday trading on Gold. It identifies high-probability buy and sell opportunities based on a liquidity sweep and reclaim of the previous day’s high or low (PDH / PDL). Signals are limited to one trade per session using New Zealand time, helping prevent overtrading. Each signal prints a clear BUY or SELL icon directly on the candle, along with a concise label showing entry price, stop loss, and take profit. No indicators, no clutter — just key levels, disciplined execution, and institutional-style simplicity.
SFP SCANNERV2==============================
📌 SFP SCANNER — QUICK GUIDE (EN)
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🎯 Goal
Automatically scan Swing Failure Patterns (SFPs) on pivot-based support and resistance levels, using a multi-timeframe, structural and filterable approach.
👉 This indicator is designed to be mainly used with alerts on watchlists.
The more permissive the filters are, the more signals (and noise) you will get.
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🧱 1) Pivot Levels — Pivot Timeframe
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Levels are built using classic pivots.
Settings:
• Pivot timeframe: timeframe used to compute pivots (e.g. 4H)
• Pivot source:
- Wicks = highs / lows
- Closes = closing prices
• Left / Right: number of bars required to validate a pivot
➡️ A pivot is confirmed only after “Right” bars.
👉 Recommendation: minimum 15 / 15 on H4.
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🎨 Level Display
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• Pivot High → resistances
• Pivot Low → supports
• Colors, width and style are visual-only settings
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📍 2) SFP Detection — Counting Timeframe
--------------------------------------------------
SFPs are detected on the “Counting timeframe”, regardless of the chart timeframe.
Bearish SFP (resistance):
1) Close above the level (breakout)
2) Close back below the level (reclaim)
3) Breakout duration must respect:
- Min bars breakout
- Max bars breakout
(counted in counting timeframe bars)
Bullish SFP (support):
Mirrored logic:
1) Break below
2) Reclaim above
3) Min / Max bars respected
--------------------------------------------------
🧠 3) Trend Filter — Moving Averages (optional)
--------------------------------------------------
If enabled:
• MA50 > MA200 → only Bullish SFPs allowed
• MA50 < MA200 → only Bearish SFPs allowed
Settings:
• MA timeframe:
- Blank = counting timeframe
- Recommended: pivot timeframe
• MA type: SMA or EMA
• Fast / Slow MA: default 50 / 200
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🧱 4) Structural Support / Resistance Filter
--------------------------------------------------
This filter is independent from the MA filter.
Structure pivots count (N):
• Number of consecutive supports / resistances used to validate structure.
Checkbox logic (restrictive):
👉 If no checkbox is selected → all SFPs are allowed.
Bullish SFPs allowed if:
• Supports are rising
• Resistances are rising
Bearish SFPs allowed if:
• Resistances are falling
• Supports are falling
➡️ Each checkbox acts as an independent restriction.
At least one selected condition must be true to allow the SFP.
--------------------------------------------------
🛑 5) Anti-spam
--------------------------------------------------
• One-shot per level
➡️ Once triggered, the level is considered consumed.
--------------------------------------------------
🔎 6) Levels to Scan
--------------------------------------------------
• Number of recent pivot levels (supports + resistances) checked for SFP detection.
--------------------------------------------------
🕒 7) Multi-timeframe Display
--------------------------------------------------
Regardless of the chart timeframe:
• Chart > Counting timeframe:
A lower-timeframe SFP is displayed on the higher-timeframe candle.
• Chart = Counting timeframe:
The SFP appears directly on the candle at close.
• Chart < Counting timeframe:
The signal is displayed at the opening of the next counting timeframe candle.
--------------------------------------------------
🔔 TradingView Alerts
--------------------------------------------------
• Bullish SFP
• Bearish SFP
--------------------------------------------------
⚙️ Suggested Settings (Day trading / 1–2 day swing)
--------------------------------------------------
• Pivot timeframe: 4H
• Counting timeframe: 15m (or 5m for more signals)
• Levels to scan: 1 to 2
• Structure pivots count (N): 2 to 3
• Min bars breakout: 2 to 3
• Max bars breakout: 5 to 10
✅ Happy scanning and good trades! 😄
Daytrading Suite v6.4: Neon TPO + FVG + IB Lines (Stable)Here is the complete **Trading Manual & Strategy Guide** for the **Master Daytrading Suite (Neon + IB Edition)**.
This guide explains exactly **when** to trade and **how** to execute trades using the tools in the script.
---
# 📘 MASTER TRADING MANUAL (Neon + IB)
### 1. THE BASICS
* **Best Assets:** BTCUSDT & ETHUSDT (Futures).
* **Best Timeframe:** 5 Minutes (Entry) / 15 Minutes (Trend).
* **Key Session:** New York Session (High Volatility).
* **Golden Rule:** Never go **LONG** inside a Red Supply Zone. Never go **SHORT** inside a Green Demand Zone.
---
### 2. THE INDICATORS (Legend)
| Indicator | Color | Function | How to use |
| --- | --- | --- | --- |
| **Supply Zone** | 🟥 **Red Box** | Resistance | Look for Short setups here. |
| **Demand Zone** | 🟩 **Green Box** | Support | Look for Long setups here. |
| **Golden Pocket** | 🟧 **Orange** | Retracement | The "Sweet Spot" for trend entries (Fib 0.618). |
| **VWAP** | 🔵 **Blue Line** | Trend Anchor | Price > VWAP = Bullish. Price < VWAP = Bearish. |
| **Initial Balance (IB)** | 🟨 **Yellow Box** | Opening Range | Breakout above = Bullish. Breakdown below = Bearish. |
| **FVG (Gap)** | 🟩/🟥 **Tiny Box** | Trigger | **Green FVG** = Entry Signal for Longs. **Red FVG** = Entry Signal for Shorts. |
---
### 3. STRATEGY A: The Trend Pullback (High Win Rate)
*Use this when the market is trending smoothly.*
#### ✅ HOW TO ENTER A LONG (BUY) POSITION
1. **Trend Check:** Price is trading **ABOVE** the VWAP (Blue Line) and EMA 9 (Yellow Line).
2. **The Wait:** Wait for the price to drop back down (pullback).
3. **The Zone:** Price touches the **Green Demand Zone** OR the **Orange Golden Pocket**.
4. **The Trigger:** A **Green FVG Box** appears on the 5-minute chart.
5. **Execution:** Enter Long. Stop Loss below the recent low. Take Profit at the next Red Zone.
#### 🔻 HOW TO ENTER A SHORT (SELL) POSITION
1. **Trend Check:** Price is trading **BELOW** the VWAP (Blue Line) and EMA 9 (Yellow Line).
2. **The Wait:** Wait for the price to rally up (pullback).
3. **The Zone:** Price touches the **Red Supply Zone** OR the **Orange Golden Pocket**.
4. **The Trigger:** A **Red FVG Box** appears on the 5-minute chart.
5. **Execution:** Enter Short. Stop Loss above the recent high. Take Profit at the next Green Zone.
---
### 4. STRATEGY B: The IB Breakout (Volatility)
*Use this specifically after the first hour of the New York Session (approx. 10:30 NY time).*
* **The Setup:** Look at the **Yellow Box (Initial Balance)** which marks the high/low of the first hour.
* **Bullish Breakout:** If a candle closes **above** the Yellow Box + Price is above VWAP → **Go Long**.
* **Bearish Breakdown:** If a candle closes **below** the Yellow Box + Price is below VWAP → **Go Short**.
* **The Trap (Fakeout):** If price breaks out but immediately falls back inside the Yellow Box, close the trade immediately.
---
### 5. DAILY ROUTINE (Checklist)
1. **Open TradingView:** Switch to the **15m Chart**.
2. **Check Context:** Where are we? Are we near a big Red Box (Supply) or Green Box (Demand)?
3. **Check Trend:** Is price above or below the Blue VWAP line?
4. **Wait for the Open:** Let the first hour of New York pass (to form the Yellow IB Box).
5. **Set Alerts:** Right-click the chart and set alerts for "IB Breakout" or "Golden Pocket".
6. **Execute:** Switch to the **5m Chart** to find your entry trigger (FVG).
---
### 6. RISK MANAGEMENT RULES
* **Stop Loss:** NEVER trade without one. Place it just outside the FVG box or the Zone.
* **Risk per Trade:** 1% to 2% of your account maximum.
* **No Trade Zone:** If the price is "chopping" (moving sideways) inside the Yellow IB Box, **do not trade**. Wait for a breakout.
Structure + Fib % Entry v2**Structure + Fib % Entry (HH / HL / LH / LL)**
This indicator visualizes market structure and Fibonacci-based execution levels in a clear and objective way. It is built for traders who use structure and pullbacks to plan entries and manage risk.
Market structure is identified using confirmed swing highs and lows, labeled as HH, HL, LH, and LL. Swings are confirmed only after a user-defined number of candles, which helps reduce noise and false signals.
A break of structure occurs when price closes beyond the last confirmed swing. After a break, the indicator tracks the impulse leg and calculates a dynamic Fibonacci-based entry level. Users can choose between fib level mode or pullback percentage mode.
The indicator automatically plots the entry, stop loss, TP1 (1R), and TP2 (2R). Trade progression is visualized clearly:
* ENTRY is shown while price has not touched the level
* ENTERED is shown once price reaches the entry
* TP1 is marked only after it is actually reached
Targets and stops are never evaluated on the same candle as entry, avoiding false same-bar outcomes.
A minimum structure range filter is included to avoid low-quality setups. All colors and visual elements are fully customizable.
A status table in the top-right shows the most important context at a glance, including the last confirmed swing levels, active leg direction, impulse range, and current entry level.
This script is a visual analysis and planning tool only. It does not place trades and does not repaint. It is intended to be used alongside proper confirmation and risk management.
TRENDSNIPER(4ZONES)[NETSGAIN]
TRENDSNIPER(4ZONES)
TrendSniper(4zones) is a structured trend-context indicator designed to help traders identify where meaningful opportunity exists — and where it does not.
Rather than forecasting price or forcing entries, TrendSniper focuses on market conditions, visually separating trending environments from neutral or overextended states. This framework allows traders to operate with clarity, patience, and consistency — especially in volatile markets.
The indicator is built to reduce decision pressure and emotional interference by clearly defining zones of trend alignment, neutrality, and risk-elevated extension.
Markets do not offer opportunity at all times.
TrendSniper’s purpose is to filter the market into four distinct behavioral zones, allowing traders to align their actions with the prevailing context instead of reacting impulsively to short-term price movement.
The indicator is non-repainting and fully rule-based.
🟦 Bullish Trend Zone (Blue)
Market structure is aligned to the upside
Trend conditions favor long continuation
Designed to support trend participation, not prediction
🟥 Bearish Trend Zone (Red)
Market structure is aligned to the downside
Trend conditions favor short continuation
Highlights bearish control rather than entry timing
⬜ Neutral Zone (Gray)
No structural edge present
Trend alignment is unclear or transitioning
Often a zone for risk management, trade review, or standing aside
🟨 Overextended Zone (Yellow)
Price has moved significantly relative to recent volatility
Trend may still exist, but risk is elevated
Intended as a cautionary state rather than a hard prohibition
TrendSniper includes a single adjustable parameter:
Overextension Filter
This setting controls how strictly extended moves are filtered.
Lower values (e.g. 0.20)
→ Stricter filtering
→ Overextended zones appear more frequently
Higher values (e.g. 0.30)
→ Looser filtering
→ Overextended zones appear less frequently
This allows users to adapt the indicator to different volatility conditions and personal risk tolerance while preserving the core logic.
Primary market focus: Crypto (BTC, ETH — spot or futures)
Recommended timeframe: 4H
Can be used on other symbols and timeframes, but behavior is optimized for crypto market structure
TrendSniper is best used as a context framework, not a standalone entry system.
It helps traders decide when to engage, when to manage risk, and when to wait.
TrendSniper is intentionally minimal.
It does not:
Force entries
Predict reversals
Encourage overtrading
Instead, it provides visual structure so traders can:
Stay aligned with dominant trends
Avoid low-quality conditions
Reduce FOMO-driven decisions
Focus on larger, cleaner moves
This makes the indicator suitable for both beginners and experienced traders, as it communicates market state clearly without complexity.
TrendSniper is not about speed.
It is about precision, patience, and alignment.
Trend conditions are identified first — execution decisions remain with the trader.
Trend is your friend — but only when conditions are clear.
This indicator is provided for informational and educational purposes only.
It does not constitute financial, investment, or trading advice.
All trading decisions made using this indicator are the sole responsibility of the user.
Past performance is not indicative of future results. Trading involves risk.
Sessions with Opening/Closing, Multi timeframeSessions with Opening & Closing is a simple and lightweight TradingView indicator that automatically marks the opening and closing moments of the major trading sessions directly on your chart.
It visually highlights:
Asian Session
European Session
U.S. Session
Each session opening and closing is shown with:
A vertical line on the exact candle where the session starts or ends
A label showing the session name and whether it is an Open or Close
This helps traders easily identify session transitions, which are often associated with changes in liquidity, volatility, and market behavior.
How It Works
The script checks whether the current candle falls inside a predefined session time range based on a selected time zone.
When the session state changes:
From inactive → active → it draws an Open marker
From active → inactive → it draws a Close marker
This is done for each session independently (Asia, Europe, USA), so you can clearly see when one session starts or ends relative to the others.
The indicator does not repaint and uses only confirmed candle information.
Sessions Used (default)
These are the default session times (you can change them in the code):
Asia: 19:00 – 01:00
Europe: 02:00 – 10:00
USA: 09:30 – 16:00
All times are interpreted according to the selected time zone.
How to Change the Time Zone
At the top of the script you will find this line:
tz = "America/La_Paz"
To change the time zone, simply replace "America/La_Paz" with your desired zone.
Examples:
tz = "America/New_York" // New York
tz = "Europe/London" // London
tz = "Asia/Tokyo" // Tokyo
tz = "Australia/Sydney" // Sydney
tz = "UTC" // Coordinated Universal Time
TradingView uses standard IANA time zone names.
You can find the full list here: en.wikipedia.org
Who Is This Indicator For?
This indicator is useful for:
Session-based traders
Liquidity traders
Forex, indices, and crypto traders
Anyone who wants to understand when major market sessions begin and end
Final Notes
Works on all timeframes.
Does not repaint.
Can be used on Forex, Crypto, Indices, and Futures.
Fully customizable (sessions, colors, labels, and time zone).
If you like this indicator or find it useful, feel free to like it or leave feedback — and happy trading! 🚀📈
GateKeepers - EMA Signals (v2)GateKeepers EMA v2 — Clean Trend Bias & Market Structure Framework
GateKeepers EMA v2 is a clean, rule-based EMA framework designed to define trend bias and directional context without clutter, lag, or signal spam.
This indicator is built for traders who understand that bias comes before entries. Instead of generating buy/sell signals, EMA v2 focuses on clearly showing when the market is bullish, bearish, or transitioning, so you can make better decisions with your existing execution model.
🔑 What GateKeepers EMA v2 Does
• Dynamically colors EMAs to instantly reflect bullish vs bearish market conditions
• Helps identify trend alignment, transitions, and chop
• Keeps charts clean and readable for fast decision-making
• Works seamlessly with price action, structure, momentum, and volatility tools
🎯 How to Use It
• Use EMA v2 as your directional filter (trade with the trend, not against it)
• Combine with:
• Market structure (HH/HL or LL/LH)
• Momentum confirmation (MACD, RSI, volume)
• Session and volatility filters
• Ideal for MNQ / NQ futures, intraday trading, and scalping
🚫 What This Is NOT
• Not a signal-spamming indicator
• Not a “holy grail”
• Not meant to replace risk management or execution rules
🧠 Why It Works
Professional traders don’t trade indicators—they trade context.
GateKeepers EMA v2 provides that context by keeping you aligned with the dominant trend and out of low-probability conditions.
If your charts feel noisy or your trades feel random, this tool helps bring structure and discipline back into your process.
⸻
Best used as part of a rules-based trading system.
Multi MA-MTF + ATRMulti MA-MTF + ATR is a lightweight, flexible moving-average toolkit built for clean charting and multi-timeframe context.
Key Features
Up to 10 Moving Averages (SMA / EMA / RMA / WMA / VWMA / HMA)
Per-MA controls:
Enable/disable
Type, Length, Source
Color + Width
MTF mode
Project to LTF: display a higher-timeframe MA on lower timeframes (example: show the 1H MA directly on the 5m/15m chart)
Only on that TF: show the MA only when the chart timeframe matches the selected TF
Confirmed option for higher-timeframe values (helps avoid repaint-like behavior by holding the last confirmed HTF value)
ATR Panel
ATR value table displayed on the chart
Optional ATR high/low lines (disabled by default)
Defaults
Only MA1–MA3 enabled by default (clean out of the box)
Default MA line width set to 1
ATR lines OFF by default
Important Note (If it “drifts” / appears off the price)
If the indicator looks “detached” or seems to drift, it’s usually because TradingView moved it into a separate pane.
Fix: click the three dots next to the indicator name → Move to → Main chart.
You can also remove and re-add the indicator to reset its placement.
Multi-Filter Slope Master Pro CareC v2This advanced multi-timeframe indicator analyzes EMA slope trends with customizable filtering to identify high-probability trading opportunities. It calculates slope momentum for EMA 9, 20, and 50 using three different methods (Linear Regression, Weighted, or Simple), applies higher timeframe trend filtering and volume confirmation, and presents signals in a highly configurable data table with five color themes and six positioning options. The indicator visualizes filtered slope values while offering comprehensive trend strength analysis through real-time table displays that adapt to different screen sizes and user preferences.
HTF Rejection Blocks (RB) v2 [louis]Overview
HTF Rejection Blocks is a price action tool designed to automatically identify and visualize areas of significant market rejection. By analyzing candle wicks relative to their bodies and historical volatility, this indicator highlights zones where institutional buying or selling pressure has occurred.
Unlike standard support and resistance indicators, this script focuses specifically on wick rejection, which often signals where price failed to sustain a move due to a wall of opposing orders.
How It Works
The script utilizes a percentile based ranking system. It analyzes the upper and lower wicks of the most recent candles and compares them to the lookback period.
Bearish Zones: Created when an Upper Wick is significantly larger than the average, indicating sellers pushed price down aggressively.
Bullish Zones: Created when a Lower Wick is significantly larger than the average, indicating buyers stepped in to reverse the price.
Once a zone is identified, it draws a box extending to the right until price closes beyond the zone, mitigating/invalidating it.
Key Features
1. Multi-Timeframe (MTF) Dashboard
Monitor higher timeframe structures without leaving your current chart. The script allows you to configure up to 4 distinct timeframes simultaneously.
Example: You can view 15m, 1H, and 4H wick zones while trading on a 1m chart.
Each timeframe has independent Bull/Bear color settings and toggle controls.
2. Smart Filtering (Advanced Options)
Reduce noise and focus on high-probability setups using the built-in filters
3. OTE Fib Levels
Automatically plots Optimal Trade Entry (OTE) Fibonacci levels inside every active zone.
Includes customizable levels: 0.50, 0.62, 0.705, and 0.79.
Useful for precision entries upon a retest of the wick.
4. Zone Management
Live Invalidation: Zones are automatically removed when price closes outside the wick range.
Mitigated Zones: Option to leave a faint "ghosts" of broken zones to see historical reaction points.
Wick Highlighting: Optional outline around the specific candle that created the zone for visual clarity. Helpful for HTF zones.
Settings Guide
Zone Settings
Highlight Wick: Toggles the border outline of the candle that generated the zone.
Mitigated Zones: If checked, broken zones remain on the chart as faint gray boxes (Ghosting).
Timeframe Configuration
Enable/Disable: Use the checkbox to turn specific timeframes on or off.
Timeframe Selector: Choose the specific TF (e.g., 15m, 4H, D).
Colors: Customize the Bull (Support) and Bear (Resistance) colors for each timeframe to distinguish them easily.
OTE Fib Levels
Enable retracement levels to appear inside the zones.
Advanced Options
Experimental Filtering: Enables the RSI and minimum spacing logic to filter out weaker signals.
Calculated Bars Count: specific how far back the script processes data (lower numbers improve performance).
ATX Price Action StrategyWhat it is
A price-action and liquidity mapping tool that builds a consistent structure model and derives BOS legs, sweeps, and zones from that single engine so the chart elements stay coherent.
How it works (high level)
Price Action (Structure + Liquidity + Zones)
Swing/structure engine: Objective fractal swings define structure.
BOS + sweep logic: Uses that structure to detect breaks and liquidity events (inducement/sweep behavior).
Session context: Optional session profiling to anchor where liquidity is forming.
Zones: Converts displacement/structure events into projected areas of interest; optional risk visualization keeps the chart readable.
How to use
Use it as a mapping layer, not a promise of prediction.
Keep fewer elements enabled at once; the point is clarity, not “more drawings.”
5-Layer Script Strategy P1 Midpoint Package (4H / D / W) This script is a multi timeframe framework that utilizes the 4H, Daily, and the Weekly timeframes. This Indicator automatically tracks the midpoints averages of those candles of the mentioned timeframes . This allows traders to actively see the markets momentum and opportunities for when the market reverses. These points acts as reaction levels and NOT ENTRY SIGNALS. This is a identity that helps identify direction and works with the other 4 Layers.
HOW IT WORKS
-Higher timeframe ranges are calculated using midpoints
-Midpoints persist until the candle closes
-No repainting either.
HOW TO USE THIS STRATEGY
-Start from the higher timeframe and work your way to the smaller ones
-Look for reactions and rejections rather than blind entries.
Weekly = bias is a swing
Daily = session to session directional bias
4HR = intraday framework to locate entries
WARNING
Not everyone uses the same settings therefore its natural to have multiple pieces, look through them and fix it to meet your expectations if need to.
MTF Squeeze Confluence CloudsMTF Squeeze Confluence Clouds is a multi-timeframe volatility compression indicator designed to visually identify Bollinger Band / Keltner Channel squeeze alignment across multiple timeframes.
By aggregating squeeze conditions from up to seven configurable timeframes, the indicator highlights periods of volatility contraction confluence, helping traders quickly assess whether compression is isolated or broadly aligned.
Core Features
Multi-Timeframe Squeeze Detection
Detects BB/KC squeeze conditions across up to 7 independent timeframes, each fully customizable.
Dynamic Confluence Cloud Visualization
Squeeze regions are rendered as adaptive chart-overlay clouds.
Cloud color intensity reflects the number of active squeezes, providing immediate visual feedback on compression strength.
OHLC or Heikin Ashi Source Selection
Choose between traditional OHLC or Heikin Ashi candle calculations for squeeze evaluation.
Confluence-Based Color Mapping
Cloud colors automatically adapt as additional timeframes enter or exit squeeze, allowing traders to monitor compression buildup and release in real time.
TF Forecast Table
An optional on-chart table displays:
- Enabled timeframes
- Current squeeze participation per timeframe
- Color-coded confluence strength for quick reference
Clean, Non-Intrusive Design
All plots are hidden except for clouds and the optional table, ensuring a clutter-free charting experience.
Customization Options
Independent enable/disable for each timeframe
Adjustable Bollinger Band and Keltner Channel parameters
Configurable cloud opacity and visual intensity
Selectable table position (any chart corner)
This indicator is intended as a volatility context and confluence visualization tool.
It does not generate trade signals and should be used in combination with price action, volume, or other analytical methods.
Predictive ZLEMA NavigatorThis is an advanced trend-following indicator that combines Zero-Lag Exponential Moving Averages (ZLEMA) with predictive crossover analysis to identify high-probability trade entries with exceptional timing precision.
Key Features:
1. Zero-Lag Technology
Utilizes ZLEMA calculation to eliminate the inherent lag found in traditional EMAs
Provides faster response to price movements while maintaining smooth trend identification
Default periods (34/89) align with Fibonacci sequence for natural market rhythm detection
2. Predictive Crossover System
Unique algorithm forecasts upcoming Golden Cross and Death Cross events before they occur
Displays estimated bars until next crossover, giving traders advance preparation time
Helps avoid late entries by signaling trend changes up to 200 bars in advance
3. Visual Direction Arrows
Color-coded projection arrows show the momentum trajectory of both fast and slow ZLEMAs
Adjustable projection length allows customization for different trading timeframes
Instantly identifies whether trends are strengthening or weakening
4. Multi-Layer Signal Confirmation
Clear crossover points marked with circles and confirmation ticks
Dynamic fill coloring between MAs for instant trend bias recognition
Bullish signals (green/blue) and bearish signals (orange/red) prevent confusion
Performance Characteristics:
Strengths:
Reduced Whipsaws: ZLEMA's lag reduction minimizes false signals in ranging markets
Early Detection: Predictive algorithm provides 10-50 bar advance warning of trend changes
Versatile Application: Works across all timeframes (1-minute to daily) and asset classes
Visual Clarity: Clean interface prevents information overload while maintaining comprehensive data
Optimal Use Cases:
Swing trading on 4H-Daily timeframes
Trend confirmation for breakout strategies
Portfolio rotation timing based on momentum shifts
Works exceptionally well on trending assets (crypto, indices, trending stocks)
Trading Approach:
Enter long on Golden Cross confirmation with upward direction arrows
Exit or reverse on Death Cross with downward momentum projection
Use prediction labels to scale into positions before actual crossover
Combine with volume analysis for enhanced confirmation
Built-in Alert System: Automated notifications for both bullish and bearish crossovers ensure you never miss a trading opportunity.
This indicator bridges the gap between reactive and predictive trading, giving you the speed of ZLEMA with the foresight of trend projection analysis.
DISCLAIMER: This information is provided for educational purposes only and should not be considered financial, investment, or trading advice.Happy Trading
Current & Prior Day OHLC Levels# Current & Prior Day OHLC Levels with 15-Minute Opening Range
## Overview
This comprehensive indicator plots key price levels for futures and stock traders, displaying Current Day levels, Prior Day levels, and the 15-Minute Opening Range. These levels serve as critical support and resistance zones that professional traders monitor throughout the trading session.
## Key Features
### Current Day Levels (Session-Based)
- **Current Open**: The opening price of the current trading session
- **Current High**: The highest price reached during the current session (updates in real-time)
- **Current Low**: The lowest price reached during the current session (updates in real-time)
The indicator properly recognizes **futures trading sessions**, which begin at their respective session start times (not midnight). For example, most equity index futures sessions begin at 6:00 PM ET the previous day, ensuring accurate session-based tracking for overnight and globex trading.
### Prior Day Levels
- **Prior Open**: Opening price from the previous trading session
- **Prior High**: High of the previous trading session
- **Prior Low**: Low of the previous trading session
- **Prior Close**: Closing price from the previous trading session
Prior day levels are some of the most widely watched technical levels in trading, often acting as psychological support and resistance zones where price action tends to react.
### 15-Minute Opening Range (NY Session)
- **OR High**: The high of the first 15 minutes after New York market open (9:30-9:45 AM ET)
- **OR Low**: The low of the first 15 minutes after New York market open (9:30-9:45 AM ET)
The opening range concept is a popular day trading strategy. The first 15 minutes often establishes the tone for the day, with these levels frequently serving as breakout or breakdown points. The indicator tracks these levels in real-time as they form, then locks them in after 9:45 AM ET.
## Visual Design
### Smart Line Extension
- Lines extend **left** to the exact bar that created each level (e.g., the bar that made the high)
- Lines extend **right** by a configurable number of bars (default: 50 bars)
- No infinite line extension cluttering your chart
### Intelligent Label Placement
- Labels positioned **above** highs and opens
- Labels positioned **below** lows
- Adjustable offset to position labels optimally for your timeframe
- Optional price display in labels (e.g., "Current High: 5,950.00")
- Semi-transparent label backgrounds for clean chart appearance
## Customization Options
### Individual Level Controls
Each level (Current Open, High, Low, Prior Open, High, Low, Close, OR High, OR Low) can be:
- Toggled on/off independently
- Assigned a custom color
- Given its own line style (Solid, Dashed, or Dotted)
- Adjusted for line width (1-5 pixels)
### Default Styling
- **Current Day**: Solid lines (Gold for Open, Green for High, Red for Low)
- **Prior Day**: Dashed lines (Steel Blue for Open, Dark Cyan for High, Crimson for Low, Slate Blue for Close)
- **Opening Range**: Dotted lines (Cyan for High, Tomato for Low)
This default styling provides clear visual distinction between level types while remaining professional and easy to read.
### Label Customization
- Toggle all labels on/off
- Show or hide price values in labels
- Adjust label offset (distance from current bar)
- Five label size options: Tiny, Small, Normal, Large, Huge
### Line Extension Control
- Configurable right extension (0-500 bars)
- Adjust based on your chart timeframe and preference
## Best Use Cases
### Futures Traders
The indicator's session-aware design makes it perfect for futures markets, properly handling:
- Electronic trading hours (Globex)
- Session rollovers at 5:00 PM or 6:00 PM ET (depending on contract)
- Overnight price action
### Day Traders
- Use Opening Range levels for breakout/breakdown strategies
- Monitor Current High/Low for intraday trend identification
- Watch Prior Day levels for profit targets and stop placement
### Swing Traders
- Prior Day High/Low often act as key decision points
- Prior Close serves as an important reference level
- Current Day levels help with intraday entry/exit timing
### Multi-Timeframe Analysis
Works on any intraday timeframe:
- 1-minute for scalping
- 5-minute for active day trading
- 15-minute or 30-minute for swing entries
- 1-hour for position context
## Technical Details
### Session Detection
- Uses TradingView's built-in session detection for accurate daily boundaries
- Properly handles futures contracts with non-midnight session starts
- New York timezone detection for Opening Range (9:30 AM ET)
### Real-Time Updates
- Current High and Low update dynamically as price moves
- Opening Range levels update live during the 9:30-9:45 AM window
- Lines redraw on each bar to maintain accurate positioning
### Performance
- Maximum 500 lines and 500 labels to ensure smooth chart performance
- Efficient line/label deletion and recreation on session changes
- Minimal computational overhead
## Tips for Optimal Use
1. **Adjust Line Extension**: For lower timeframes (1-min, 5-min), reduce right extension to 20-30 bars. For higher timeframes (1-hour), increase to 100+ bars.
2. **Combine with Price Action**: These levels work best when combined with candlestick patterns, volume analysis, and order flow.
3. **Watch for Level Tests**: Price often tests these levels multiple times before breaking through or reversing.
4. **Opening Range Breakouts**: Many traders wait for price to break and close above OR High or below OR Low before entering directional trades.
5. **Prior Day Levels as Targets**: Use Prior High as an upside target and Prior Low as a downside target for intraday trades.
## Compatibility
- Works on all instruments (Futures, Stocks, Forex, Crypto)
- Optimized for intraday timeframes (1-min to 1-hour)
- Best results on liquid instruments with clear session boundaries
- Designed specifically with ES, NQ, YM, and RTY futures traders in mind
## Credits
Ported from NinjaTrader indicators with enhanced features and TradingView-specific optimizations. Original concept based on classic technical analysis principles used by professional traders worldwide.
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*Note: These levels are for informational and educational purposes only. Past performance does not guarantee future results. Always practice proper risk management.*
FVG/IFVG Detector Pro FVG Detector Pro – with Automatic IFVG
Description
FVG Detector Pro is an advanced indicator designed to automatically detect Fair Value Gaps (FVG) and Inverse Fair Value Gaps (IFVG).
It helps traders visualize market imbalances created by impulsive price movements and quickly identify when a Fair Value Gap fails and becomes an inverse reaction zone.
This tool is built for intraday and futures trading (NQ, MNQ, ES, etc.) and works on any timeframe.
What is a Fair Value Gap (FVG)?
A Fair Value Gap represents a price imbalance where the market moved too quickly and did not trade efficiently.
Detection rules used:
Bullish FVG: Low > High
Bearish FVG: High < Low
FVGs often act as:
retracement zones
reaction areas
continuation or rejection zones
IFVG – Inverse Fair Value Gap
An IFVG is created when a Fair Value Gap is invalidated by price action.
Invalidation rules:
Bullish FVG becomes Bearish IFVG when price closes below the FVG bottom
Bearish FVG becomes Bullish IFVG when price closes above the FVG top
This indicates that the original imbalance failed and the zone now acts in the opposite direction.
Visual Identification
Zone Type Label
Bullish FVG FVG ↑
Bearish FVG FVG ↓
Bullish IFVG IFVG ↑
Bearish IFVG IFVG ↓
Each zone includes:
a price box
a 50% midpoint line
a directional label
All colors and styles are fully customizable in the settings.
Indicator Settings
General Options
Show Bullish / Bearish FVG
Infinite extension or fixed number of bars
Show or hide labels
FVG Management
Delete filled FVGs
Enable automatic IFVG conversion
Delete filled IFVGs
Style Settings
Box colors
Border colors
Midline colors and width
How to Use the Indicator
Standard FVG Setup
A Fair Value Gap is created
Price retraces into the zone
Price reacts in the direction of the FVG
IFVG Setup (High-Probability Scenario)
A Fair Value Gap is formed
Price fails and breaks through the zone
The zone converts into an IFVG
A retest of the IFVG often provides an entry in the opposite direction
IFVGs frequently represent failed expectations and can offer strong trading opportunities.
Recommended Timeframes
1m / 2m / 5m for scalping and intraday trading
15m / 30m for higher-timeframe context
The indicator is fully timeframe-independent.
Best Practices
Always use FVGs and IFVGs with market context (VWAP, session levels, trend bias)
IFVGs are especially effective around the US session open
Avoid trading FVGs directly against strong momentum
Summary
Automatic detection of Fair Value Gaps
Intelligent conversion to Inverse Fair Value Gaps
Clean and readable chart visualization
Fully customizable
Built for real trading, not curve fitting
