Göstergeler ve stratejiler
Mul TF Flow PRO ( 79 Fx )//@version=5
indicator("Multi TF Flow PRO (79 Fx )", overlay=true)
// ===== GET CLOSED CANDLES =====
d_open = request.security(syminfo.tickerid, "D", open)
d_close = request.security(syminfo.tickerid, "D", close)
h4_open = request.security(syminfo.tickerid, "240", open)
h4_close = request.security(syminfo.tickerid, "240", close)
h1_open = request.security(syminfo.tickerid, "60", open)
h1_close = request.security(syminfo.tickerid, "60", close)
m15_open = request.security(syminfo.tickerid, "15", open)
m15_close = request.security(syminfo.tickerid, "15", close)
// ===== FLOW LOGIC =====
dailyFlow = d_close > d_open ? 1 : -1
h4Flow = h4_close > h4_open ? 1 : -1
h1Flow = h1_close > h1_open ? 1 : -1
m15Flow = m15_close > m15_open ? 1 : -1
// ===== COUNT =====
bullCount = (dailyFlow == 1 ? 1 : 0) + (h4Flow == 1 ? 1 : 0) + (h1Flow == 1 ? 1 : 0) + (m15Flow == 1 ? 1 : 0)
bearCount = (dailyFlow == -1 ? 1 : 0) + (h4Flow == -1 ? 1 : 0) + (h1Flow == -1 ? 1 : 0) + (m15Flow == -1 ? 1 : 0)
// ===== TOTAL FLOW =====
string totalFlow = bullCount > bearCount ? "TOTAL BULLISH" :
bearCount > bullCount ? "TOTAL BEARISH" :
"NEUTRAL"
// ===== CREATE TABLE =====
var table t = table.new(position.top_right, 2, 6, border_width=1)
// ===== UPDATE TABLE =====
if barstate.islast
table.cell(t, 0, 0, "Timeframe", bgcolor=color.gray, text_color=color.white)
table.cell(t, 1, 0, "Flow", bgcolor=color.gray, text_color=color.white)
table.cell(t, 0, 1, "Daily")
table.cell(t, 1, 1, dailyFlow == 1 ? "Bullish" : "Bearish", text_color=dailyFlow==1?color.lime:color.red)
table.cell(t, 0, 2, "4H")
table.cell(t, 1, 2, h4Flow == 1 ? "Bullish" : "Bearish", text_color=h4Flow==1?color.lime:color.red)
table.cell(t, 0, 3, "1H")
table.cell(t, 1, 3, h1Flow == 1 ? "Bullish" : "Bearish", text_color=h1Flow==1?color.lime:color.red)
table.cell(t, 0, 4, "15M")
table.cell(t, 1, 4, m15Flow == 1 ? "Bullish" : "Bearish", text_color=m15Flow==1?color.lime:color.red)
table.cell(t, 0, 5, "TOTAL FLOW")
table.cell(t, 1, 5, totalFlow,
text_color = totalFlow=="TOTAL BULLISH"?color.lime:
totalFlow=="TOTAL BEARISH"?color.red:
color.orange,
bgcolor = totalFlow=="TOTAL BULLISH"?color.new(color.green,80):
totalFlow=="TOTAL BEARISH"?color.new(color.red,80):
color.new(color.orange,80))
Auction Weighted Support and Resistance [Metrify]This script builds an “auction-weighted” S/R map that’s intentionally closer to a microstructure proxy than a classic “draw pivots → draw lines” approach.
The core idea: treat repeated interactions around the same price as evidence of auction behavior (acceptance vs rejection), then compress that behavior into a small set of ranked horizontal zones per horizon. Instead of outputting dozens of levels, it runs a selection pass to keep only the strongest, spatially distinct levels.
Candidate discovery is pivot-driven, but not used naively. The script collects pivot highs/lows into rolling buffers for three horizons (Micro/Short/Medium) with different pivot lengths and memory caps. Those candidates don’t become “levels” directly; they’re just seeds that get clustered and rescored. Clustering is ATR-normalized (distance measured in ATR multiples), so the same logic doesn’t fall apart when you change symbol volatility or timeframe. Each horizon has its own clustering radius (distATR_micro/short/medium), which makes Micro more granular and Medium more tolerant.
The “weight” you see is not a single metric. It’s a composite score that tries to approximate how meaningful a price is in an auction sense:
Touch count (distinct): interactions are counted only when the candle range gets within a near-band threshold (ATR-normalized), and then gated by minimum bar separation so you don’t get spam from chop printing 20 touches in a row. (this is done with a stride-based loop to avoid blowing runtime on deep lookbacks)
Acceptance: a rolling overlap rate of candle ranges inside the box. It’s exponentially weighted (half-life decay), so recent acceptance matters more, but older acceptance still contributes. If price has been “living” around that level, acceptance rises.
Rejection quality: wick-aware rejection, but range-gated (not close-gated). The scoring looks at whether the candle range overlaps/approaches the level, then measures wick dominance on the rejecting side plus where the close sits inside the bar range.
Age decay: older levels aren’t thrown away automatically, but they get downweighted via an exponential decay term so stale structure doesn’t dominate forever.
Those components get combined by f_weightCompose() into a bounded weight using saturating transforms (so touches don’t scale linearly forever) and a decay factor tied to age. When multiple candidates land in the same cluster, the merge is done with a saturating union on weights (1 - (1-oldW)*(1-wAdd)) rather than simple addition, so weights don’t explode and a level can converge toward 1.0 without becoming meaningless. The cluster center price is updated via a weight-based average to prevent random drift from weak additions.
After clustering, we does an explicit selection pass instead of drawing everything. First it filters by minScore, then sorts by weight, then applies a spatial suppression step (basically NMS for horizontal levels). The minimum spacing is ATR-based and incorporates both a horizon spacing floor and the zone thickness, so you don’t end up with two bands that overlap visually or convey the same information. On top of that, there’s a global cross-horizon collision gate (f_canDraw) so Medium zones can coexist with Short/Micro without the chart turning into a layered fog of rectangles.
Visualization is intentionally “zone-first.” Each selected level becomes a box band whose half-thickness is ATR-scaled per horizon (bandThicknessATR_*). Opacity isn’t linear: it normalizes weight above minScore, applies a power curve to compress mid-range values, and also scales relative to the strongest level in that horizon (so you still get contrast when everything is “kind of strong”).
The pressure overlay is not volume-based and not orderflow (pine can’t read L2), but it tries to expose short-term imbalance while price is inside a band. When the last price is inside a zone, it computes a pressure score from two parts: proximity to the center (closer = higher) and a directional imbalance proxy from recent returns sampled only on bars that intersect the band. It then draws two thin lines at the band edges with alpha proportional to that pressure score. This is meant as a “are we being pushed out or absorbed here” hint (not a prediction engine).
If you enable the audit panel, the script builds a table listing the levels that actually got drawn (post-selection + collision filtering). The columns map directly to the internal metrics (weight, touches, acceptance, rejection), so you can sanity-check why a level exists. Level IDs are horizon-prefixed (MC/ST/MD) and assigned based on ranking within each horizon.
note:
rebuild is throttled (rebuildEveryN) and only runs on the last bar. Loops that can go deep use a stride heuristic (1/2/4) to keep runtime predictable on large lookbacks. Arrays are used as bounded buffers for candidate storage, and drawing objects are aggressively deleted/rebuilt to avoid object leaks.
MSOFP BY JONATHAN MWENDWA NDUNGEMSOFP BY JONATHAN MWENDWA NDUNGE
(Market Structure & Order Flow Proxy)
MSOFP is an institutional-style market analysis indicator designed to identify high-probability trend continuation and reversal zones by combining market structure, liquidity behavior, and volatility conditions into a single confidence model.
Instead of relying on lagging signals, MSOFP focuses on how price interacts with recent swing highs and lows, which are widely recognized in professional trading as areas where liquidity accumulates and large participants execute positions.
Core Logic
The indicator measures three primary components that research and market microstructure studies consistently link with sustained price movement:
1. Market Structure
Detects higher lows and lower highs to confirm bullish or bearish structure.
Helps distinguish trending environments from consolidation phases.
2. Liquidity Sweep Detection
Identifies when price breaks beyond recent swing points.
These events often occur where stop orders cluster, creating momentum bursts.
3. Volatility Regime Filter
Uses ATR-based normalization to determine whether the market has sufficient movement.
Filters out low-volatility conditions where false breakouts are more common.
These factors are combined into a Trend Confidence Score, which quantifies the strength of directional bias instead of relying on subjective visual interpretation.
How to Read the Indicator
Positive confidence values suggest bullish pressure.
Negative confidence values suggest bearish pressure.
Strong signals appear only when structure, volatility, and liquidity behavior align.
Arrows mark potential high-probability continuation zones.
The histogram represents the strength of participation behind the move, helping traders avoid weak trends.
Why This Matters
Institutional and professional trading models often rely on:
Structure confirmation
Liquidity events
Volatility expansion
MSOFP translates these principles into a practical visual framework that helps traders:
Reduce false breakouts
Avoid low-quality market conditions
Identify periods of genuine directional intent
Best Use Case
MSOFP is designed to complement trend-following systems such as Donchian or ribbon-based indicators by acting as a confirmation and filtering engine before trade execution.
For optimal results, combine it with:
Higher timeframe trend bias
Risk-managed entries
Structured exits
Author: Jonathan Mwendwa Ndunge
Cyberpunk MACD Pulse EngineDescription
The Cyberpunk MACD Pulse Engine is a high-performance trend momentum oscillator designed for the modern trader operating in high-volatility environments. It reimagines classic MACD logic through a futuristic HUD (Head-Up Display) aesthetic and is now equipped with "Tactical Mode" switching capabilities—allowing you to swap your analytical focus instantly, much like upgrading hardware in a high-tech sprawl.
Core Systems
・Four Tactical Presets: Instantly recalibrate the engine between Standard, Fast (Scalp), Slow (Swing), or Neural Spike (Hyper-reactive) to match your specific trading style.
・Pulse Histogram: Features dynamic transparency and neon-fused clarity to visualize momentum acceleration and deceleration in real-time.
・Dual-Core Lines: MACD and Signal lines are rendered with a "Neon Glow" effect for maximum visibility during intense sessions.
・System Status HUD: An integrated interface in the top-right corner that monitors current status and active Tactical Mode without cluttering your focus.
・Optimized Logic: Built on Pine Script V5 to ensure lightweight, latency-free performance.
How to Use
1. Identify the Signal: Watch for the "System Reboot" (Cyan Triangle) for bullish reversals and "System Critical" (Magenta Triangle) for bearish shifts.
2. Monitor Intensity: When the histogram glows intensely, momentum is at its peak.
3. Tactical Tip: Use Neural Spike for spotting sudden volatility spikes, and switch to Slow (Swing) to confirm if the primary higher-timeframe trend is still intact.
概要
Cyberpunk MACD Pulse Engineは、現代のトレーダーのために設計された高性能トレンド・モメンタム・オシレーターです。クラシックなMACDを近未来的なHUD（ヘッドアップディスプレイ）の美学で再構築しただけでなく、状況に応じて設定を瞬時に換装できる**「タクティカル・モード」**を新たに搭載しました。ハイテク都市のハードウェアをアップグレードするように、分析の焦点を即座に切り替えることが可能です。
主な機能
・4つのタクティカル・プリセット: Standard、Fast (スキャルピング)、Slow (スイング)、Neural Spike (超高感度反応) から、自身のトレードスタイルに合わせてエンジンを即座に再調整できます。
・パルス・ヒストグラム: ネオンが融合したクリアな視覚効果と動的な透明度変化により、モメンタムの加速と減速をリアルタイムに視覚化します。
・デュアルコア・ライン: MACDとシグナルラインに「ネオングロー」エフェクトを施し、ボラティリティの高い局面でも最高の視認性を確保。
・統合HUD: ペインの右上に、現在のトレンドステータスと選択中のモードをフィードバック表示。集中力を削ぐことなく状況を把握できます。
・最適化されたロジック: Pine Script V5をベースに、軽量な動作とラグのない描画を実現しました。
使用方法
1. シグナルの確認: 強気の反転を示す「System Reboot（シアンの三角）」と、弱気への転換を示す「System Critical（マゼンタの三角）」に注目してください。
2. 勢いの測定: ヒストグラムの発色が鮮やかになった時、トレンドの勢いが最大に達していることを示します。
3. タクティカル・チップ: 急なボラティリティを検知するにはNeural Spikeを使用し、主要なトレンドが維持されているか確認するにはSlow (Swing)に切り替えて分析を補完してください。
ATR Action (Signed) + Signals + ConfidenceATR Action (Signed) — Context-Aware Volatility Signals with Confidence Scoring
ATR Action (Signed) is a volatility-normalized indicator designed to answer a simple but often overlooked question:
Was today’s move meaningful — or just noise?
Instead of measuring raw price change, this indicator compares today’s percent move to the instrument’s typical daily volatility, expressed as a normalized, signed value called ATR Action.
What makes this different
Most ATR-based tools measure range.
This script measures directional impact.
ATR Action answers:
How large was today’s move relative to normal volatility?
Was the move statistically notable or routine?
Did it occur with or against the prevailing trend?
By combining volatility normalization, trend context, and signal classification, the indicator helps distinguish:
Noise vs. meaningful expansion
Opportunistic dips vs. structural weakness
Momentum continuation vs. exhaustion
Core Concepts
ATR% (Average Daily Volatility)
Calculated as the average absolute daily percent move over a user-defined period.
This provides a “daily noise baseline” specific to each instrument.
ATR Action (Signed)
ATR Action = Today’s % Change ÷ ATR%
Positive values = up days
Negative values = down days
|1.0| ≈ normal daily move
|1.5+| = unusually large move
|2.5+| = extreme move
This allows consistent interpretation across stocks, crypto, and ETFs.
Signals (context-aware)
Signals are generated only when volatility expansion is meaningful and interpreted through trend context:
BUY / ADD
Large down day within an uptrend (potential shakeout)
MOMENTUM
Large up day within an uptrend
TRIM / SELL
Large up day within a downtrend
RISK-OFF
Large down day within a downtrend
No signals are generated during normal volatility.
Confidence Score (0–100)
Each signal includes a confidence score, derived from:
Magnitude beyond volatility thresholds
Alignment with trend direction
This is not a probability — it is a relative strength gauge to help compare setups and manage position sizing.
On-Chart Table & Explainer
The indicator includes:
A compact table showing ATR Action, ATR%, today’s move, trend state, signal, and confidence
An optional Explainer Panel (toggleable in settings) that documents each metric directly on the chart for transparency and education
Intended Use
ATR Action is designed for:
Swing traders and position traders
Scaling in/out rather than binary entries
Comparing volatility events across different instruments
Filtering emotional reactions during high-volatility periods
It does not predict direction and does not repaint.
Final Notes
This script emphasizes context over prediction.
Large moves matter — but only when viewed relative to normal behavior and prevailing trend.
Use ATR Action to frame decisions, not replace them.
stelaraX - SupertrendstelaraX – Supertrend
stelaraX – Supertrend is a trend-following indicator based on the Average True Range (ATR). It dynamically adapts to market volatility and provides clear visual guidance for identifying bullish and bearish trend phases directly on the chart.
This indicator is part of the stelaraX ecosystem, focused on clean technical analysis and AI-supported chart evaluation.
stelarax.com
Core logic
The Supertrend is calculated using two user-defined parameters:
* ATR period
* volatility factor
The indicator uses ATR-based price bands to determine trend direction:
* bullish trend when price holds above the Supertrend level
* bearish trend when price holds below the Supertrend level
When price crosses the Supertrend line, the trend direction flips accordingly. The ATR factor controls the sensitivity of trend changes, with higher values producing fewer but stronger signals.
Visualization
The script plots a single Supertrend line directly on the price chart:
* green color during bullish trends
* red color during bearish trends
* broken line style to clearly show trend transitions
The minimalist design ensures that trend direction is immediately visible without cluttering the chart.
Use case
This indicator is intended for:
* identifying and following market trends
* defining dynamic trailing stop levels
* filtering trades in the direction of the dominant trend
* trend confirmation in combination with other indicators
For traders looking to combine classical trend tools with modern AI-driven chart analysis, additional tools and insights are available at stelarax.com
Disclaimer
This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or trading recommendations. All trading decisions and risk management remain the responsibility of the user.
SMART TRADER 2 BY JONATHAN MWENDWA NDUNGESMART TRADER 2 BY JONATHAN MWENDWA NDUNGE is a professional-grade Donchian Trend Ribbon indicator designed for serious traders seeking clarity, precision, and reliability in trend analysis. Combining classic Donchian Channel logic with modern technical filters, this indicator identifies strong bullish and bearish trends while filtering out false breakouts and market noise.
Key Features:
Multi-Timeframe Support: Analyze trends from higher timeframes without leaving your chart.
Acceptance Candle Filter: Reduces false signals by requiring trend confirmation across multiple bars.
ADX Trend Strength Filter: Ensures trades are only signaled in strong trending conditions.
ATR Volatility Buffer: Accounts for market volatility to reduce whipsaws.
Dual Donchian (20/55) Option: Align short-term and long-term trend signals for higher accuracy.
Ribbon Alignment Scoring: Quantifies trend strength visually and numerically; strong trend signals appear when multiple ribbons align.
Non-Repainting & Backtest-Friendly: Ideal for both live trading and strategy backtesting.
This indicator is suitable for traders of all experience levels who want a robust trend-following tool that balances responsiveness with reliability.
Usage:
Green ribbons indicate bullish trends, red ribbons indicate bearish trends.
Long and short signals appear only when all filters align, helping traders avoid false breakouts.
Combine with your own risk management and confirmation strategies for optimal results.
Author: Jonathan Mwendwa Ndunge
AI Market Assistant [FundedLab]AI Market Assistant – Your Institutional-Grade Co-Pilot
Do you know exactly where you stand in the market cycle? Most retail traders fail because they trade against the dominant trend.
I created the AI Market Assistant to solve this problem. It is a comprehensive dashboard that processes multi-timeframe data and Macroeconomics to provide a clear, objective market bias.
⚙️ Customizable Trend Logic:
The system adapts to your specific trading personality:
Fully Adjustable Timeframes: You are not limited to the default settings. You can freely select your preferred Lower Timeframe (LTF) and Higher Timeframe (HTF) in the settings to match your scalping or swing trading strategy.
Select "VWAP" for Intraday Precision : Ideal for catching moves that align with today’s institutional volume.
Select "EMA 200" for Swing Structure : Ideal for holding positions and riding the broader market wave.
🚀 Advanced Capabilities:
Macro Analysis Panel: Automatically analyzes the Dollar Index (DXY) and US10Y Yields to determine if the macro environment supports your trade (Bullish vs. Bearish Impact).
Multi-Language Support: Fully localized for 🇹🇭 🇬🇧 🇨🇳 🇰🇷.
Zero-Lag Decision Engine: Utilizing "Stable Mode" to ensure signals are confirmed on closed bars—eliminating false signals and repainting.
💡 Why You Need This Tool:
No More Noise: The AI filters out choppy markets (Sideways) and tells you to "WAIT" instead of forcing a trade.
Conflict Detection: It checks if the Short-term trend (LTF) agrees with the Long-term trend (HTF). If they disagree, it saves you from a bad trade.
Macro Safety: Real-time warnings based on DXY/Bond movements. Don't buy Gold if the DXY is skyrocketing—this tool warns you first.
Level up your trading desk with the same data the pros use.
SMC Structures and FVG RUPTURA & CONTINUACIONIt marks CONTINUATION (BOS) and BREAKOUT (CHOCH) of the trend just like other identical indicators, but with the difference that instead of appearing marked as BOS and CHoCH, here they appear as CONTINUATION and RUPTURA.
EMA Multi Cross + SR Breaks & RetestsDescription
The EMA Multi Cross with Support & Resistance Break & Retest indicator combines trend-following moving averages with dynamic support and resistance zone detection to help traders identify trend direction, momentum shifts, and key price reaction areas in real time.
The indicator plots multiple Exponential Moving Averages (EMAs) to provide a clear view of short-, medium-, and long-term trends while automatically detecting high-volume support and resistance zones. It also highlights when these zones break or successfully hold, helping traders spot potential continuation or reversal opportunities.
Key Features
Multi-EMA Trend System
The indicator displays EMA 9, 13, 15, 21, 50, and 200 to help traders quickly assess trend structure and market momentum.
EMA Crossover Alerts
Alerts can be triggered when important EMA crossovers occur, helping traders capture momentum shifts and potential entries.
Cross alerts included:
EMA 9 crossing EMA 15
EMA 9 crossing EMA 21
EMA 13 crossing EMA 50
EMA 21 crossing EMA 200
Both bullish and bearish signals are supported.
Dynamic Support & Resistance Zones
The script automatically detects potential support and resistance areas based on price pivots and volume activity, plotting them as zones directly on the chart.
Stronger zones appear darker, helping traders quickly identify important reaction areas.
Break & Retest Detection
When price breaks a support or resistance zone, the zone changes appearance to visually confirm the breakout. If price returns and holds the level, the zone adjusts back, signaling a possible continuation.
This helps traders identify:
Breakouts
Failed breakouts
Retests
Trend continuation setups
Customizable Display
Users can enable or disable support & resistance detection and adjust detection sensitivity according to their trading style.
Typical Use Cases
• Trend-following entries using EMA alignment
• Breakout trading
• Retest confirmation entries
• Scalping and intraday setups
• Swing trading trend confirmation
Adaptive BSP v6The Adaptive Buying and Selling Pressure (ABSP) indicator is the "engine" of your system. Unlike standard volume oscillators that just look at total quantity, this logic dissects the internal price action of every candle to determine who is actually in control.
1. The Core Calculation (Intra-Bar Delta)
Instead of just looking at the candle color, the ABSP logic calculates pressure based on where the price closes relative to the high and low of the bar:
• Buying Pressure (BP): Measured as the distance from the candle's Low to its Close.
BP = Close - min(Low, Close)
• Selling Pressure (SP): Measured as the distance from the candle's High to its Close.
SP = max(High, Close) - Close
2. The Adaptive Lookback (The "Pulse")
Standard indicators use a "static" period (like 14 or 20). The ABSP is different; it uses the Market Pulse to change its own length:
• It tracks the number of bars since the last significant structural pivot.
• If the market is moving fast with frequent pivots, the lookback shortens (more sensitive).
• If the market is trending smoothly without pivots, the lookback lengthens (more stable).
3. Statistical Normalization (Z-Score)
To make the data readable across different assets (like Crypto vs. Forex), we apply a Z-Score calculation. This measures how many standard deviations the current pressure is away from the mean:
• Neutral: Z = approx 0 (Balanced market).
• High Intensity: Z > 2.0 (Significant buying surge).
• Extreme Exhaustion: Z > 3.0 (Potential blow-off top/bottom).
4. Key Logic Points
Feature | Function | Trading Benefit
=============================
Net Delta | Subtracts SP from BP. | Instant view of which side is winning the tug-of-war.
----------------------------------------------------------------------------
EMA Smoothing | Uses a Series EMA on the raw values. | Filters out "noise" while remaining responsive to price.
----------------------------------------------------------------------------
Divergence Logic | Compares Price Highs to Pressure Highs. | Flags when a trend is losing "gas" before price actually drops.
----------------------------------------------------------------------------
Z-Intensity Filter | Only flags "PRO" signals at extremes. | Ensures you aren't entering during "retail chop."
How it drives the "Fusion" System:
In your current setup, the ABSP acts as the ultimate filter. A "Wave" is just a zig-zag on the chart, but the ABSP tells the script: "This wave is legitimate because the Z-Score is at 2.1 and Buying Pressure is exponentially higher than Selling Pressure."
Would you like me to add a specific "Exhaustion" alert to the ABSP logic that pings you when the Z-Score hits an extreme level (>3.0), even if a new wave hasn't formed yet?
Pulse Mean AcceleratorPulse Mean Accelerator (PMA) | MisinkoMaster
Pulse Mean Accelerator (PMA) is a high-speed adaptive trend engine designed to dynamically accelerate or stabilize its behavior depending on how aggressively price moves relative to its underlying structure. Instead of acting like a traditional moving average that simply lags behind price, PMA attempts to anticipate momentum expansion by accelerating when price pulses strengthen and stabilizing when market movement slows.
The result is a responsive yet smooth trend-following tool that adapts to both trending and consolidating markets. PMA is particularly useful for traders who want earlier participation in expanding trends without sacrificing structural clarity.
By combining adaptive acceleration, volatility awareness, and layered smoothing, PMA balances speed and stability to help traders remain aligned with developing momentum.
Key Features
Adaptive acceleration that reacts when price movement intensifies
Automatically slows down during consolidation to reduce noise
Multiple moving average types supported for flexibility
Volatility-aware responsiveness adjustment
Optional confirmation logic to filter weak signals
Multiple smoothing modes for balancing speed vs stability
Dynamic candle coloring reflecting active trend state
Automatic Long and Short markers when direction changes
Works across fast intraday and slower swing environments
Designed to reduce lag while preserving structure
How It Works
Pulse Mean Accelerator begins with a moving average structure but enhances it by measuring how aggressively price moves relative to that baseline. When price starts moving faster than the average, acceleration increases, allowing the indicator to catch up quickly.
When price slows or becomes erratic, acceleration reduces, preventing excessive reaction to noise.
Volatility measurements are incorporated to scale this acceleration, ensuring that responsiveness adapts naturally to current market conditions. Strong moves result in quicker adaptation, while quiet markets lead to smoother, calmer behavior.
Additional smoothing layers can then be applied, allowing traders to choose between faster responsiveness or more stable structure depending on their trading style.
Optional confirmation logic ensures that signals are not triggered solely by temporary price spikes, helping filter weaker moves.
The outcome is a moving average framework that behaves more like a dynamic trend engine rather than a static lagging indicator.
Trend Detection Logic
Trend direction is determined by how price behaves relative to the accelerated mean structure.
Bullish phases occur when price maintains strength above the adaptive mean while momentum confirms upward pressure. Bearish phases occur when price weakens below the structure and downward momentum dominates.
Signals appear when participation shifts strongly enough to confirm directional change, helping traders detect transitions from consolidation to expansion phases.
Acceleration Behavior
A defining characteristic of PMA is its pulse acceleration mechanism.
• Strong price pulses increase responsiveness
• Weak or slow price movement reduces acceleration
• Volatility conditions influence adaptation speed
• Structure remains smooth when momentum is weak
This dynamic adjustment helps traders enter trends earlier while avoiding excessive reactions during sideways markets.
Smoothing Modes
PMA includes multiple smoothing options so users can tune responsiveness:
• Raw acceleration for fastest reaction
• Exponential stabilization for balanced behavior
• Additional smoothing layers for structural clarity
• Double smoothing for maximum noise reduction
This flexibility allows PMA to be tailored for scalping, intraday trading, or higher-timeframe trend following.
Visual Signals
The indicator provides several visual cues for ease of interpretation:
• Candle coloring reflects active trend direction
• Adaptive mean and accelerated mean are plotted together
• Long and Short markers appear when trend shifts occur
• Filled areas highlight separation between price and structure
These features help traders read market structure quickly without relying on numerical interpretation.
Inputs Overview
Users can customize behavior through adjustable components including:
• Price source selection used in calculations
• Moving average type controlling base structure
• Length settings affecting responsiveness
• Acceleration sensitivity determining reaction speed
• Volatility measurement type influencing adaptation
• Smoothing mode selection for stability control
• Optional confirmation filtering for signal validation
These controls allow the tool to be tuned for both aggressive and conservative trading approaches.
Usage Notes
Ideal for traders needing faster adaptation to momentum expansion
Helps detect early stages of trend acceleration
Useful for filtering sideways noise while remaining reactive to breakouts
Works well in volatile assets where traditional averages lag
Can be combined with support/resistance or volume tools for confirmation
Higher smoothing settings suit swing traders, lower smoothing benefits intraday traders
Confirmation mode reduces false signals in choppy markets
Parameter tuning improves performance across different assets
Best Use Scenarios
Pulse Mean Accelerator performs particularly well in:
• Momentum expansion phases
• Breakouts from consolidation ranges
• Trend continuation environments
• High-volatility market conditions
• Assets showing periodic acceleration bursts
• Markets transitioning from low to high volatility
It is especially effective where traditional moving averages react too slowly to developing moves.
Summary
Pulse Mean Accelerator transforms traditional moving average logic into an adaptive trend engine capable of accelerating when price momentum expands and stabilizing during calm conditions. By blending acceleration, volatility awareness, and flexible smoothing, it provides traders with a faster yet structured view of market direction.
PMA is best suited for traders seeking earlier trend participation while maintaining smooth, readable structure across both fast-moving and consolidating markets.
Mizan Trinity OscillatorTitle: Mizan Trinity Oscillator
Description:
Introduction: The Truth Behind Price Price action can be deceptive. A rising candle does not always mean a rising trend. In the philosophy of Mizan, a price movement is an "Ontological Illusion" unless it is supported by three fundamental forces: Velocity, Money, and Mass.
The Mizan Trinity Oscillator (MTO) is designed to synthesize these three forces into a single, highly responsive frequency line. It acts as the "Engine Gauge" for your chart, telling you if the trend has fuel or if it's running on fumes.
The Trinity Synthesis (The Formula) Unlike standard oscillators (RSI, Stochastic) that only look at price, MTO combines three distinct data sets using a weighted "L-Score" algorithm:
Velocity (CCI): Represents the speed and momentum of the move. (Default Weight: 35%)
Money Flow (CMF): Represents the fuel injected into the market. (Default Weight: 45%)
Mass (OBV): Represents the volume weight behind the move. (Default Weight: 20%)
Unique Innovation: "Silence Mode" The most critical feature of MTO is its ability to stop talking.
The Gray Thin Line: When the market enters a "Choppy/Turbulent" phase or when volume drops significantly, the oscillator turns GRAY and becomes THIN.
Meaning: This is "Noise". The system is telling you that the data is unreliable. Do not trade when the line is gray.
How to Use:
Trend Following:
Thick Turquoise Line: Positive Flow (Valid Buying Pressure).
Thick Orange Line: Negative Flow (Valid Selling Pressure).
The "Ontological Divergence":
If Price is making a New High, but MTO is dropping (Orange) or turning Gray, this is a major warning. It means the "Smart Money" has stopped buying, and the price is rising only due to retail inertia. This is often a Bull Trap.
The Sniper Entry:
Wait for the line to switch from Gray (Silence) to a thick colored line. This indicates that clarity has returned to the market.
Dashboard: The panel on the top right shows the current Trinity Score (0-100) and the market Mode (Positive, Negative, or Silent).
Author's Note: This tool is created to help traders filter out the noise. If the oscillator is Gray, sit on your hands. If it's diverging, protect your capital. Trade the truth, not the illusion.
Smart Money Flow: Automated Liquidity & Fair Value GapsOverview
This script is a comprehensive Smart Money Concepts (SMC) toolkit designed specifically for high-volatility assets like Gold (XAUUSD/MGC) on the 4-Hour timeframe. It automates the identification of institutional "traps" and entry zones by tracking Liquidity Sweeps and Fair Value Gaps (FVG).
Key Features
Liquidity Sweep Detection (SSL/BSL): Automatically identifies "Stop Hunts" where price wicks beyond recent swing points to grab liquidity before a reversal.
Automated Fair Value Gaps (FVG): Draws and labels institutional imbalances where price is likely to return for a re-entry.
Market Structure Shift (MSS): Signals the "Change of Character" (CHoCH) following a liquidity sweep, confirming a potential trend reversal.
Scannable Visuals: Includes clear labels and box projections to help traders identify "Discount" and "Premium" zones at a glance.
How to Trade with this Tool
Wait for a Sweep: Look for the SSL Sweep (Green Triangle) or BSL Sweep (Red Triangle) on the 4H chart.
Confirm the Shift: Wait for the MSS (Star) to appear, signaling that the "Smart Money" has shifted the trend.
The Entry: Place your limit orders within the Labeled FVG Boxes created by the move.
Risk Management: Place your Stop Loss below the wick of the Liquidity Sweep.
Disclaimer
This script is a tool to assist in technical analysis. It does not guarantee profits. Trading futures, especially Gold, involves significant risk. Always use proper risk-to-reward ratios.
CVD Delta Divergences by LybandzPlots CVD divergences. Use this in combination with a model or other confluences.
Logarithmic Fair Value Anchor | PWLogarithmic Fair Value Anchor
This indicator overlays a dynamic "fair value" estimate on the price chart, anchored to the momentum and historical relationship of a user-selected reference asset (e.g., gold, broad liquidity proxies, or major indices). It combines logarithmic deviation analysis with relative valuation to adapt to the anchor's behavior, offering a flexible tool for exploring cross-asset divergences, mean-reversion setups, and contextual extremes.
Core Mechanics and Math Overview
The fair value starts with a baseline: an EMA-smoothed ratio of price to the anchor over the lookback period (default 180 bars). This ratio reflects the historical "normal" relationship between the chart symbol and the anchor.
Anchor momentum is added via the smoothed 1-period ROC of the anchor, scaled by a user-adjustable Momentum Influence Scale (default 5.0 — lower values increase responsiveness). This scaled influence is exponentially applied to adjust the baseline ratio. An optional correlation filter weights the adjustment using absolute log-price correlation (with threshold and manual multiplier). The result is DEMA-smoothed (default length 14) for a responsive yet stable fair value line.
Deviation bands are built multiplicatively around this fair value using exp(deviation * level), preserving log-scale compatibility. Three band types are available:
Log Stdev: Standard deviation of log(price / fair value) — dynamic, volatility-responsive.
Static Sigma: Fixed user-defined deviation (default 0.15) — consistent relative widths.
ATR: Relativized ATR converted to log deviation — range-based smoothing for volatile markets.
Bands use asymmetric multipliers (defaults 1.8 upper / 1.25 lower) with three levels, fills, and markers for visual clarity.
Key Features
Anchor Flexibility: Choose from Gold (XAUUSD), Silver (XAGUSD), S&P 500 (SPX), BTC, or experimental proxies (GLI/M2 aggregates from FRED/ECONOMICS data).
Trend and Visuals: Trend detection (price vs. offset fair value) with optional bar coloring, background highlights for extremes, and diamond markers for overbought/oversold.
Enhanced Info Table (toggleable): Shows current fair value, selected anchor, band type, bias (LONG/SHORT/NEUTRAL), trend duration, trend quality (% clean bars), strength rating (icon-based), z-score deviation (effective band multiple in sigmas + approximate percentile), and valuation (Overvalued/Undervalued/Fair).
Customization: Lookback, offset, smoothing, momentum scale, correlation weighting, band type, multipliers, bar color toggle — adaptable to different assets/timeframes.
What Makes This Approach Distinct
The script uses a smoothed price-to-anchor ratio as its baseline, then applies scaled logarithmic momentum influence to create a fair value that respects both history and external dynamics. This differs from pure moving averages or direct ratio models by incorporating cross-asset momentum in a log framework. Band variety and detailed trend quality/strength metrics provide practical tools for navigating volatility regimes and assessing trend reliability — features not commonly combined in one overlay.
Usage Suggestions
Crypto: Anchor to GLI/M2 for liquidity context; ATR bands help manage volatility. Watch high z-score/percentile or low trend quality for reversals.
Equities/Commodities: Gold for inflation views, S&P for market ties; static sigma for stable benchmarks.
General Tips: Use log scale for visual alignment. Offset (default 90) projects fair value forward. Leverage table metrics — e.g., quality >80% for stronger trends, strength icons for momentum conviction, valuation extremes for mean-reversion ideas. Test anchors and scales to fit your market.
This is an exploratory relative-valuation overlay — results vary by anchor, conditions, and settings. Not financial advice; backtest thoroughly and verify independently.
Notes
Pine Script v6; requires access to external symbols via request.security().
Minor repainting possible on realtime bars due to smoothing and external data.
Community feedback welcome for refinements!
Combined Trend Indicator - OPTIMIZED Combined Trend Indicator - 10 in 1 (Optimized)
This powerful trend-following indicator combines 10 proven technical indicators into one unified signal system with weighted scoring.
Included Indicators:
RMI Trend Sniper
TS ALMA Smooth
CTI (Correlation Trend Indicator)
Sebastine Trend Catcher
TS Gunxo Trend Sniper
DEMA DMI ViResearch
MM For Loop (Misinkomaster)
DMI For Loop
Trend Oscillator
Stochastic For Loop
How It Works:
Calculates bullish/bearish signals from all 10 indicators
Applies weighted scoring (trend indicators get 2x weight)
Anti-whipsaw filter requires 2-bar confirmation
Displays color-coded trend line below price
Signal Levels:
🟢 Strong Bull (Dark Green) - Difference > 4 → BUY/HOLD
🟢 Weak Bull (Light Green) - Difference 1-4 → CAUTION
🔴 Weak Bear (Light Red) - Difference -1 to -4 → REDUCE
🔴 Strong Bear (Dark Red) - Difference < -4 → SELL/EXIT
Features:
✓ Real-time score display (Bull/Bear out of 13 points)
✓ Automated alerts for trend changes
✓ Optimized parameters for crypto/Bitcoin
✓ Minimal false signals through confirmation filter
Best Used For:
Daily (1D) timeframe, Bitcoin and major cryptocurrencies. Can be adapted for other timeframes and assets.
stelaraX - Auto FibonaccistelaraX – Auto Fibonacci
stelaraX – Auto Fibonacci is an automatic Fibonacci plotting indicator that detects recent pivot highs and pivot lows and draws Fibonacci retracement and extension levels across the latest swing range. The script updates dynamically whenever a new pivot is confirmed, providing an always-current Fibonacci map without manual drawing.
For advanced AI-based chart analysis and automated Fibonacci interpretation, visit stelarax.com
Core logic
The indicator detects swing pivots using a user-defined pivot lookback:
* pivot highs are detected using pivot high confirmation
* pivot lows are detected using pivot low confirmation
When a new pivot is confirmed and both a recent high and low are available, the script:
* defines the swing range between the latest pivot high and pivot low
* draws Fibonacci levels across that range
* extends the levels forward by a configurable number of bars
The plotted level set includes retracements and extensions:
* -0.618 and -0.272
* 0.0, 0.236, 0.382, 0.5, 0.618, 0.786, 1.0
* 1.272 and 1.618
Extensions can be enabled or disabled via a dedicated setting.
Visualization
Fibonacci levels are plotted as horizontal lines and labeled with:
* the Fibonacci ratio
* the corresponding price value
Colors are assigned based on level type:
* 0 and 1 levels use a dedicated highlight color
* 0.5 uses a key level color
* standard retracement levels use a base fib color
* extension levels use a separate extension color
When a new pivot forms, the indicator clears the previous Fibonacci drawings and redraws the full set to keep the chart clean and current.
Use case
This indicator is intended for:
* automatic Fibonacci retracement mapping on the latest swing
* identifying potential reaction levels for pullbacks and continuations
* projecting extension targets beyond the current range
* level-based confluence with structure, liquidity, and zones
* multi-timeframe Fibonacci alignment
For a fully automated AI-driven chart analysis solution, additional tools and insights are available at stelarax.com
Disclaimer
This indicator is provided for educational and technical analysis purposes only and does not constitute financial advice or trading recommendations. All trading decisions and risk management remain the responsibility of the user.
Zig Zag + Breakout Long Signal Description
This indicator combines a classic ZigZag with a long-only breakout logic.
A buy signal (small upward triangle) is generated when the price closes above the last confirmed swing high.
The ZigZag calculation can be based either on closing prices or on high/low prices, depending on the selected input option.
This allows the user to adjust the indicator to a more conservative (close-based) or more sensitive (high/low-based) behavior.
Each swing high can trigger only one breakout signal, preventing repeated entries on the same level.
The indicator is designed to help identify trend continuation setups and breakouts from consolidation phases.
An optional confirmed-pivot mode can be used to reduce repainting.
Disclaimer
This indicator is provided for educational and informational purposes only.
It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instrument.
Trading involves risk, and past performance does not guarantee future results.
Always conduct your own analysis and use proper risk management before making trading decisions.
ADV Vertical Time LinesCreates a vertical time line each 5M ,15M, 30M, 45M, 1H, 2H, 4H.
Creates alerts each time.
Great for 3-bar & 4-bar plays.
