Smart Money Flow Oscillator [MarkitTick]💡This script introduces a sophisticated method for analyzing market liquidity and institutional order flow. Unlike traditional volume indicators that treat all market activity equally, the Smart Money Flow Oscillator (SMFO) employs a Logic Flow Architecture (LFA) to filter out market noise and "churn," focusing exclusively on high-impact, high-efficiency price movements. By synthesizing price action, volume, and relative efficiency, this tool aims to visualize the accumulation and distribution activities that are often attributed to "smart money" participants.
✨ Originality and Utility
Standard indicators like On-Balance Volume (OBV) or Money Flow Index (MFI) often suffer from noise because they aggregate volume based simply on the close price relative to the previous close, regardless of the quality of the move. This script differentiates itself by introducing an "Efficiency Multiplier" and a "Momentum Threshold." It only registers volume flow when a price move is considered statistically significant and structurally efficient. This creates a cleaner signal that highlights genuine supply and demand imbalances while ignoring indecisive trading ranges. It combines the trend-following nature of cumulative delta with the mean-reverting insights of an In/Out ratio, offering a dual-mode perspective on market dynamics.
🔬 Methodology
The underlying calculation of the SMFO relies on several distinct quantitative layers:
• Efficiency Analysis
The script calculates a "Relative Efficiency" ratio for every candle. This compares the current price displacement (body size) per unit of volume against the historical average.
If price moves significantly with relatively low volume, or proportional volume, it is deemed "efficient."
If significant volume occurs with little price movement (churn/absorption), the efficiency score drops.
This score is clamped between a user-defined minimum and maximum (Efficiency Cap) to prevent outliers from distorting the data.
• Momentum Thresholding
Before adding any data to the flow, the script checks if the current price change exceeds a volatility threshold derived from the previous candle's open-close range. This acts as a gatekeeper, ensuring that only "strong" moves contribute to the oscillator.
• Variable Flow Calculation
If a move passes the threshold, the script calculates the flow value by multiplying the Typical Price and Volume (Money Flow) by the calculated Efficiency Multiplier.
Bullish Flow: Strong upward movement adds to the positive delta.
Bearish Flow: Strong downward movement adds to the negative delta.
Neutral: Bars that fail the momentum threshold contribute zero flow, effectively flattening the line during consolidation.
• Calculation Modes
Cumulative Delta Flow (CDF): Sums the flow values over a rolling period. This creates a trend-following oscillator similar to OBV but smoother and more responsive to real momentum.
In/Out Ratio: Calculates the percentage of bullish inflow relative to the total absolute flow over the period. This oscillates between 0 and 100, useful for identifying overextended conditions.
📖 How to Use
Traders can utilize this oscillator to identify trend strength and potential reversals through the following signals:
• Signal Line Crossovers
The indicator plots the main Flow line (colored gradient) and a Signal line (grey).
Bullish (Green Cloud): When the Flow line crosses above the Signal line, it suggests rising buying pressure and efficient upward movement.
Bearish (Red Cloud): When the Flow line crosses below the Signal line, it suggests dominating selling pressure.
• Divergences
The script automatically detects and plots divergences between price and the oscillator:
Regular Divergence (Solid Lines): Suggests a potential trend reversal (e.g., Price makes a Lower Low while Oscillator makes a Higher Low).
Hidden Divergence (Dashed Lines): Suggests a potential trend continuation (e.g., Price makes a Higher Low while Oscillator makes a Lower Low).
"R" labels denote Regular, and "H" labels denote Hidden divergences.
• Dashboard
A dashboard table is displayed on the chart, providing real-time metrics including the current Efficiency Multiplier, Net Flow value, and the active mode status.
• In/Out Ratio Levels
When using the Ratio mode:
Values above 50 indicate net buying pressure.
Values below 50 indicate net selling pressure.
Approaching 70 or 30 can indicate overbought or oversold conditions involving volume exhaustion.
⚙️ Inputs and Settings
Calculation Mode: Choose between "Cumulative Delta Flow" (Trend focus) or "In/Out Ratio" (Oscillator focus).
Auto-Adjust Period: If enabled, automatically sets the lookback period based on the chart timeframe (e.g., 21 for Daily, 52 for Weekly).
Manual Period: The rolling lookback length for calculations if Auto-Adjust is disabled.
Efficiency Length: The period used to calculate the average body and volume for the efficiency baseline.
Eff. Min/Max Cap: Limits the impact of the efficiency multiplier to prevent extreme skewing during anomaly candles.
Momentum Threshold: A factor determining how much price must move relative to the previous candle to be considered a "strong" move.
Show Dashboard/Divergences: Toggles for visual elements.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
This indicator represents a hybrid synthesis of academic Market Microstructure theory and classical technical analysis. It utilizes an advanced algorithm to quantify "Price Impact," leveraging the following theoretical frameworks:
• 1. The Amihud Illiquidity Ratio (2002)
The core logic (calculating body / volume) functions as a dynamic implementation of Yakov Amihud’s Illiquidity Ratio. It measures price displacement per unit of volume. A high efficiency score indicates that "Smart Money" has moved the price significantly with minimal resistance, effectively highlighting liquidity gaps or institutional control.
• 2. Kyle’s Lambda (1985) & Market Depth
Drawing from Albert Kyle’s research on market microstructure, the indicator approximates Kyle's Lambda to measure the elasticity of price in response to order flow. By analyzing the "efficiency" of a move, it identifies asymmetries—specifically where price reacts disproportionately to low volume—signaling potential manipulation or specific Market Maker activity.
• 3. Wyckoff’s Law of Effort vs. Result
From a classical perspective, the algorithm codifies Richard Wyckoff’s "Effort vs. Result" logic. It acts as an oscillator that detects anomalies where "Effort" (Volume) diverges from the "Result" (Price Range), predicting potential reversals.
• 4. Quantitative Advantage: Efficiency-Weighted Volume
Unlike linear indicators such as OBV or Chaikin Money Flow—which treat all volume equally—this indicator (LFA) utilizes Efficiency-Weighted Volume. By applying the efficiency_mult factor, the algorithm filters out market noise and assigns higher weight to volume that drives structural price changes, adopting a modern quantitative approach to flow analysis.
● Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
M-oscillator
GCM Heikin Ashi RSI Trend CloudTitle: GCM Heikin Ashi RSI Trend Cloud
Description:
Overview
The GCM Heikin Ashi RSI Trend Cloud is a comprehensive momentum oscillator designed to filter out market noise and visualize trend strength. Unlike a standard RSI which can be jagged and difficult to interpret during consolidation, this indicator transforms RSI data into Heikin Ashi candles, providing a smoother, clearer view of market momentum.
This tool combines the lag-reducing benefits of RSI with the trend-visualizing power of Heikin Ashi, layered with Multi-Timeframe (HTF) clouds to identify macro trends.
Calculations & How it Works
This indicator does not use standard price action for its candles. Instead, it performs the following calculations:
• HARSI Candles: We calculate the RSI of the Open, High, Low, and Close of the chart. These four RSI values are then processed through the standard Heikin Ashi formula. This means the candles represent momentum movement, not price movement.
• Smoothing: A smoothing algorithm is applied to the "Open" of the HARSI candles (Default: 5). This reduces fake-outs by biasing the candle open toward the previous average, highlighting the true trend direction.
• Trend Bias Mode: A unique visual feature that adjusts the thickness of the RSI line based on your trading style.
o Buyers Mode: The line thickens when RSI is rising, thinning out when falling.
o Sellers Mode: The line thickens when RSI is falling, thinning out when rising.
• Ribbon Clouds: The script pulls RSI data from Higher Timeframes (HTF) and creates a cloud between the current chart's RSI and the HTF RSI. If the current RSI is above the HTF RSI, the cloud is bullish (Green), otherwise bearish (Red).
Key Features
• Derived Heikin Ashi RSI: Smooths out the noise of standard RSI to show clear red/green trends.
• Dynamic Trend Bias: Customize the main RSI line to emphasize Bullish or Bearish momentum using line weight.
• Auto-HTF Clouds: Automatically detects higher timeframes (e.g., 1m chart -> 3m cloud) to show support/resistance momentum from the macro trend.
• OB/OS Zones: Clearly defined Overbought and Oversold channels with "Extreme" outlier zones.
How to Use
1. Trend Continuation: Look for the HARSI candles to change color. A switch from Red to Green, while the Ribbon Cloud is also Green, indicates a strong bullish continuation.
2. Divergence: Because the candles are based on RSI, you can look for divergences between the HARSI candle peaks and the actual price action on the main chart.
3. The Cloud: Use the cloud as dynamic support. In a strong uptrend, the RSI line often bounces off the HTF Cloud without breaking through it.
Settings
• HARSI Length (Default 10): The lookback period for the RSI calculation.
• Smoothing (Default 5): Higher values create smoother candles but add lag. Lower values are more reactive.
Trend Bias Mode: Choose "Neutral" for a standard line, or "Buyers/Sellers" to visually emphasize your preferred market direction.
QQE v3.0 [v6] - AI-Powered Trend Signal📊 QQE Signal v3.0 - AI-Powered Quantitative Trend Detection
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■ What is QQE?
QQE (Quantitative Qualitative Estimation) is an advanced oscillator that evolves the traditional RSI. It significantly reduces false signals by applying ATR-based dynamic bands to smoothed RSI values.
【Mathematical Principle】
1. Calculate RSI (default 14 periods)
2. Smooth RSI with EMA (noise reduction)
3. Apply ATR to RSI for dynamic bands
4. Signal generated on band/RSI crossover
This methodology captures "qualitative" trend changes "quantitatively" - detecting shifts that RSI alone would miss.
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■ HMA Integration
This indicator combines QQE with HMA (Hull Moving Average) for dual confirmation.
【HMA Characteristics】
- Faster response, less lag than traditional MAs
- Formula: WMA(2×WMA(n/2) - WMA(n), √n)
- Ideal for trend direction confirmation
【Dual Confirmation Logic】
- QQE: Detects momentum turning points
- HMA: Confirms price trend direction
- Both aligned = High-confidence signal
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■ AI Score System (60-100)
Signal confidence quantified as 0-100 score, integrating multiple factors.
【Score Components】
1. Signal Base (QQE×HMA alignment bonus)
2. QQE Strength (deviation from RSI midpoint 50)
3. Volatility State (ATR ratio evaluation)
4. Volume Confirmation (anomaly detection vs average)
【Signal Levels】
┌────────────────────────────────────────┐
│ 💰 BIG CHANCE (90+) │
│ → All factors aligned at high level │
│ → Highest confidence │
├────────────────────────────────────────┤
│ ⚡ SUPER (80-89) │
│ → Major factors strongly aligned │
│ → High confidence │
├────────────────────────────────────────┤
│ 🚀 POWER (70-79) │
│ → QQE+HMA simultaneous signal │
│ → Medium-high confidence │
├────────────────────────────────────────┤
│ 💪 STRONG (60-69) │
│ → Basic signal triggered │
│ → Standard confidence │
└────────────────────────────────────────┘
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■ MTF (Multi-Timeframe) Function
Display signals from different timeframes on your current chart.
【Use Cases】
- View 5min signals on 1min chart
- Monitor higher timeframe direction while scalping
- Improve entry timing precision
【Auto-Optimization by Asset】
- USD/JPY, EUR/USD: QQE Factor 4.238
- Gold (XAU/USD): QQE Factor 8.0 (volatility adjusted)
- BTC: QQE Factor 12.0 (high volatility adjusted)
- NASDAQ: QQE Factor 4.238
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■ Trading Strategies
【Strategy 1: Trend Following】
1. Wait for 80+ score signal
2. Confirm HMA direction
3. Set stop-loss at recent high/low
4. Target 1:2+ risk-reward ratio
【Strategy 2: Range Breakout】
1. Multiple 60-70 signals occurring
2. Price approaching range boundary
3. 90+ signal confirms breakout
4. Enter in breakout direction
【Strategy 3: MTF Confirmation】
1. Identify trend on higher TF (4H/Daily)
2. Find entry on lower TF (5-15min)
3. Both timeframes aligned = highest confidence
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■ Recommended Settings
【Scalping (1-5min)】
- RSI Period: 14
- Smoothing: 5
- Min Score: 70
- MTF: 5min recommended
【Day Trading (15-60min)】
- RSI Period: 14
- Smoothing: 5
- Min Score: 60
- MTF: Same as chart
【Swing (4H-Daily)】
- RSI Period: 14
- Smoothing: 5
- Min Score: 60
- MTF: OFF (use chart timeframe)
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■ Pro Version Available
For advanced features, check "QQE×HMA Showtime v3.5" (invite-only):
- P/L Counter (real-time profit/loss tracking)
- BIG WIN visual effects
- Detailed statistics panel
- Enhanced algorithm accuracy
See my profile for details.
⚠️ DISCLAIMER
This indicator is for educational and analytical purposes. Past performance does not guarantee future results. Always use proper risk management.
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【日本語】
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■ QQEとは？（Quantitative Qualitative Estimation）
QQEは、RSI（相対力指数）を進化させた高度なオシレーターです。従来のRSIの弱点である「ダマシ」を大幅に軽減し、より信頼性の高いシグナルを生成します。
【数学的原理】
1. RSIを計算（デフォルト14期間）
2. RSIをEMAでスムージング（ノイズ除去）
3. ATR（真のレンジ）をRSIに適用し、動的バンドを生成
4. バンドとスムージングRSIのクロスでシグナル発生
この手法により、RSI単体では検出できない「質的な」トレンド変化を「量的に」捉えることが可能になります。
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■ HMA（Hull Moving Average）との統合
本インジケーターはQQEにHMAを組み合わせ、ダブル確認システムを構築しています。
【HMAの特徴】
- 従来のMAより反応が速く、ラグが少ない
- 計算式：WMA(2×WMA(n/2) - WMA(n), √n)
- トレンド方向の確認に最適
【ダブル確認の意義】
- QQE：モメンタムの転換点を検出
- HMA：価格トレンドの方向を確認
- 両者が一致 → 高確度シグナル
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■ AIスコアシステム（60-100点）
シグナルの信頼度を0-100点で数値化。複数の要素を統合評価します。
【スコア算出要素】
1. シグナル基盤（QQE×HMA一致で加点）
2. QQE強度（RSI中央値50からの乖離度）
3. ボラティリティ状態（ATR比率による評価）
4. 出来高確認（平均比での異常検出）
【シグナルレベル】
┌────────────────────────────────────────┐
│ 💰 BIG CHANCE（90点以上） │
│ → 全要素が高水準で一致 │
│ → 最高確度、大きなポジション検討可 │
├────────────────────────────────────────┤
│ ⚡ SUPER（80-89点） │
│ → 主要要素が強く一致 │
│ → 高確度、標準ポジション推奨 │
├────────────────────────────────────────┤
│ 🚀 POWER（70-79点） │
│ → QQE+HMA同時シグナル │
│ → 中高確度、慎重なエントリー │
├────────────────────────────────────────┤
│ 💪 STRONG（60-69点） │
│ → 基本シグナル発生 │
│ → 標準確度、小ポジションから │
└────────────────────────────────────────┘
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■ MTF（マルチタイムフレーム）機能
異なる時間足のシグナルを現在のチャートに表示。
【活用例】
- 1分足チャートで5分足シグナルを確認
- スキャルピング中に上位足の方向を把握
- エントリータイミングの精度向上
【銘柄別自動最適化】
- USD/JPY、EUR/USD：QQE係数 4.238
- Gold（XAU/USD）：QQE係数 8.0（ボラ対応）
- BTC：QQE係数 12.0（高ボラ対応）
- NASDAQ：QQE係数 4.238
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■ 実践的トレード戦略
【戦略1：トレンドフォロー】
1. 80点以上のシグナルを待つ
2. HMAの方向を確認
3. 直近高値/安値をストップロスに設定
4. 1:2以上のリスクリワードを確保
【戦略2：レンジブレイク】
1. 60-70点シグナルが連続で発生
2. 価格がレンジ上限/下限に接近
3. 90点シグナルでブレイクを確認
4. ブレイク方向にエントリー
【戦略3：MTF確認】
1. 上位足（4H/日足）でトレンド方向確認
2. 下位足（5-15分）でエントリータイミング
3. 両時間足のシグナルが一致で高確度
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■ 推奨設定
【スキャルピング（1-5分足）】
- RSI期間：14
- スムージング：5
- 最低スコア：70
- MTF：5分固定推奨
【デイトレード（15-60分足）】
- RSI期間：14
- スムージング：5
- 最低スコア：60
- MTF：チャート足と同じ
【スイング（4H-日足）】
- RSI期間：14
- スムージング：5
- 最低スコア：60
- MTF：OFF（チャート足使用）
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■ 上位版のご案内
より高度な機能をお求めの方には「QQE×HMA Showtime v3.5」（招待専用）をご用意しています。
【追加機能】
- 損益カウンター（リアルタイム集計）
- BIG WIN演出（大勝利時の視覚効果）
- 詳細統計パネル
- 高精度アルゴリズム
詳細はプロフィールをご覧ください。
⚠️ 免責事項
本インジケーターは教育・分析目的です。過去の実績は将来の結果を保証しません。適切なリスク管理を行ってください。
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Developed by EduVest | 30 Years STEM Education × Professional FX Trading
For custom indicator development, visit my profile.
[CT] D&W PPO + RBF + DivergenceThis indicator combines two separate ideas into one tool so you can read trend context from your price chart while timing momentum shifts from a clean oscillator panel. The first component is the Daily and Weekly Percentage Price Oscillator (D&W PPO), which measures the relationship between two EMA spreads that are intentionally built to reflect two “speeds” of market structure. The “weekly” leg is calculated as the percentage distance between a slower and faster EMA pair (L1 and L2), and the “daily” leg is calculated as the percentage distance between a shorter EMA pair (L3 and L4), but both are normalized by the same long EMA (e2) so the values behave like a percent-based oscillator rather than raw points. The script then combines those two legs by creating R = W + D, and it plots the histogram as R − W, which simplifies to D. That is not a mistake, it is the point of the design. By setting the baseline at “R equals W,” the zero line becomes a very intuitive threshold that tells you whether the shorter-term push is adding to the longer-term bias or subtracting from it. When the histogram is above zero, the daily component is supportive of the larger trend pressure, and when it is below zero, the daily component is opposing it. The histogram color is intentionally binary and stable, green when the histogram is at or above zero and red when it is below, so the panel reads like a momentum confirmation tool rather than a noisy oscillator that constantly shifts shades.
The second component is the RBF Price Trail, which is drawn on the upper price chart even though the indicator itself lives in a lower panel. This line is not a moving average in the traditional sense. It is a Radial Basis Function kernel smoother that weights recent prices based on their similarity rather than only their recency. In plain terms, the kernel attempts to build a smoother “baseline” that adapts to the shape of price action, and then the script optionally wraps that baseline inside an ATR band and applies a Supertrend-like trailing clamp. When the ATR band is enabled, the line will not simply track the kernel value, it will trail price and hold its position until price forces it to ratchet. This behavior is what makes it useful as a structure-aligned trend line rather than just another smoothing curve. When the adaptive band boost is enabled, the band width is multiplied by a factor that grows when recent price change is large relative to a lookback normalization window. That means the trailing mechanism can adapt to fast markets by changing the effective band behavior, which helps reduce whipsaws in choppy conditions while still allowing the line to respond when volatility expands. The line color is determined by where price closes relative to the trail, bullish when price is above the trail and bearish when price is below it, and you can optionally color your actual chart candles from either the PPO state or the RBF state depending on what you want your eyes to follow.
The settings are organized so you can control each module without changing how the core PPO trend logic behaves. The PPO settings L1, L2, L3, and L4 define the EMA lengths used to compute the weekly leg W and the daily leg D. Increasing these values makes the oscillator slower and smoother, while decreasing them makes it react faster to recent movement. “Show W line” is simply a visual aid, it plots the W line in the oscillator panel so you can see the longer-term component, but it does not change the histogram logic. “Histogram thickness” is purely visual and controls how thick the column bars are. The PPO colors are the two base colors used for the histogram state, green when the daily component is supportive and red when it is opposing.
The RBF settings control what you see on the upper chart. “Show RBF on Price Chart” turns the trail line on or off. “Source” chooses which price series feeds the kernel, and close is usually the cleanest choice. “Kernel Length” determines how many bars the kernel uses; a larger value makes the baseline smoother and slower, and a smaller value makes it more reactive. “Gamma Adj” controls how quickly the kernel’s weights decay as price becomes dissimilar, so higher gamma tends to make the kernel react more sharply to changes while lower gamma produces a broader smoothing effect. “Use ATR Trail Band” is the switch that turns the kernel baseline into a trailing band line, and it is the reason the line can “hold” and then ratchet instead of moving continuously like a normal moving average. “ATR Length” and “ATR Factor” control the width of that band, and widening the band will generally reduce flips and noise at the cost of later signals. “Use Adaptive Band Boost” turns on the volatility normalization idea, “Boost Normalization Lookback” defines how far back the script looks to determine what counts as a large price change, and “Boost Multiplier” controls how strongly the band behavior is adjusted during those periods. The line width and bull/bear colors are visual controls only.
Price bar coloring is intentionally handled with a single selector so you do not end up with two modules fighting to color candles differently. If you choose “Off,” nothing on the main chart is recolored. If you choose “PPO,” your price candles reflect whether the PPO histogram is above or below zero. If you choose “RBF,” your price candles reflect whether price is above or below the RBF trail. Most traders will pick one and stick with it so the chart communicates a single bias at a glance.
The divergence module is optional and is designed to be a confirmation layer rather than a primary trigger. When enabled, it can mark regular divergence and hidden divergence, and it lets you decide what the pivots should be based on. The divergence source can be the PPO histogram or the R line, depending on whether you want divergence measured on the cleaner momentum component or on the combined series. “Key off pivots” determines whether pivot detection is driven by oscillator pivots or by price pivots. If you choose oscillator pivots, divergence anchors are found where the oscillator makes pivot highs or lows and those are compared against price at the same points. If you choose price pivots, the pivots are taken from price first and the oscillator value at those pivot bars is used for the comparison, which can feel more intuitive when you want divergence to respect obvious swing structure on the chart. Pivot Left and Pivot Right control how strict the swing definition is, larger values create fewer but more meaningful pivots and smaller values create more frequent signals. “Mark on Price Chart” adds tiny markers on the candles at the pivot location so you can see where the divergence event was confirmed, while the oscillator panel uses lines and labels to make the divergence relationship obvious.
For trading, the cleanest way to use this tool is to separate “bias” from “timing.” The RBF Price Trail is your bias filter because it is structure-like and tends to hold and ratchet rather than constantly drifting. When price is closing above the trail and the trail is colored bullish, you treat the market as long-biased and you focus on long setups, pullbacks, and continuation entries. When price is closing below the trail and the trail is bearish, you treat the market as short-biased and you focus on short setups, rallies, and continuation shorts. The PPO histogram is then your timing and pressure confirmation. In an up-bias, the highest quality continuation conditions are when the histogram is above zero and stays above zero through pullbacks, because that means the shorter-term pressure is still supporting the longer-term drift. When the histogram dips below zero during an up-bias, it is a warning that the daily component is now opposing, which often corresponds to a deeper pullback, a rotation, or a period of consolidation, so you either wait for the histogram to recover above zero or you tighten expectations and manage risk more aggressively. In a down-bias, the mirror logic applies: the best continuation conditions are when the histogram is below zero, and pushes above zero tend to represent countertrend rotations or pauses inside the bearish condition.
Divergence is best used as an early warning and a location filter, not as a standalone entry button. Regular bullish divergence, where price makes a lower low but the oscillator makes a higher low, can signal bearish pressure is weakening and is most useful when it appears while price is below the RBF trail but failing to continue downward, because it often precedes a reclaim of the trail or at least a meaningful rotation. Regular bearish divergence, where price makes a higher high but the oscillator makes a lower high, can signal bullish pressure is weakening and is most useful when it appears while price is above the trail but extension is failing, because it often precedes a drop back to the trail or a full flip. Hidden divergence is a continuation concept. Hidden bullish divergence, where price makes a higher low while the oscillator makes a lower low, often shows up during pullbacks in an uptrend and can help you confirm continuation as long as the RBF bias remains bullish. Hidden bearish divergence, where price makes a lower high while the oscillator makes a higher high, often shows up during rallies in a downtrend and can help you confirm continuation as long as the RBF bias remains bearish. In practice, you’ll get the best results when you only act on divergence that aligns with the RBF bias for hidden divergence continuation, and you treat regular divergence as a caution or reversal setup only when it occurs near a meaningful swing and is followed by a bias change or a strong momentum shift on the PPO.
The most practical workflow is to keep the RBF trail visible on the price chart as your regime guide, keep the PPO histogram as your momentum confirmation, and decide in advance whether you want candle coloring to represent the PPO state or the RBF state so your eyes are not reading two different meanings at once. if you want the cleanest “trend-following” behavior, color candles by the RBF trail and use the PPO histogram as the timing trigger. If you want the cleanest “momentum-first” behavior, color candles by PPO and treat the RBF trail as the higher-level filter for whether you should press a move or fade it.
RSHL Traffic Light - MTF Trend Analyzer v2.0 [v6]RSHL 3-Color Traffic Light 🚦 v2.0 - Multi-Timeframe Market Environment Analyzer
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🎯 OVERVIEW
This indicator provides instant visual recognition of market direction across multiple timeframes using a "traffic light" system. Designed for live streaming and real-time analysis, it helps traders quickly assess whether the market is in a BULL 🚀, BEAR 📉, or RANGE ↔ condition.
Based on the RSHL (Resistance/Support High/Low) methodology, this tool analyzes pivot highs and lows to determine trend direction, then displays the results in an eye-catching neon color scheme optimized for dark chart themes.
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📊 KEY FEATURES
▸ Multi-Timeframe Analysis (MTF)
Simultaneously displays market state for 5 timeframes: 4H, 1H, 15m, 5m, and your current chart timeframe. All information is presented in a single, compact table at the top of your chart.
▸ 3-State Classification
🚀 BULL (Cyan): Price broke above resistance - uptrend confirmed
📉 BEAR (Magenta): Price broke below support - downtrend confirmed
↔ RANGE (Yellow): Price contained within ATR-based threshold
▸ Time-Adaptive Range Detection
The range detection automatically adjusts sensitivity based on trading session:
• Tokyo Session 🌸: Lower sensitivity (quieter markets)
• London Session 🇬🇧: Standard sensitivity
• NY Session 🗽: Higher sensitivity (volatile markets)
▸ Overall Market Status
A large label at the bottom displays the aggregate market condition based on all timeframes, giving you an instant "at-a-glance" assessment.
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⚙️ CORE LOGIC
The indicator uses pivot high/low detection to establish dynamic support and resistance levels:
1. When price closes above the previous pivot high → BULL state
2. When price closes below the previous pivot low → BEAR state
3. When the price range (high line - low line) is less than ATR × sensitivity → RANGE state
This approach provides a more objective trend assessment than simple moving average crossovers.
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🎨 VISUAL DESIGN
Optimized for live streaming and screen recording:
- Neon color scheme (Cyan/Magenta/Yellow) for maximum visibility
- Bold text formatting for readability at any resolution
- Glow effect borders for professional appearance
- Emoji icons for instant pattern recognition
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⚠️ DISCLAIMER
This indicator is designed for educational and analytical purposes. It does not provide buy/sell signals and should not be used as a standalone trading system. Always combine with your own analysis and risk management.
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【日本語解説】
🚦 RSHL 3色信号機 v2.0 - マルチタイムフレーム環境認識ツール
■ 概要
複数時間足の相場状況を「信号機」形式で一目で把握できるインジケーターです。ライブ配信やリアルタイム分析に最適化されており、現在の相場がBULL（上昇）🚀、BEAR（下降）📉、RANGE（レンジ）↔のいずれかを即座に判断できます。
■ 主要機能
- MTF分析：4時間足、1時間足、15分足、5分足、チャート足の5つを同時表示
- 3状態分類：ピボットハイ/ローに基づく客観的なトレンド判定
- 時間適応：東京🌸/ロンドン🇬🇧/NY🗽セッションに応じて感度を自動調整
- 総合判定：全時間足を集約した「BULL相場」「BEAR相場」「レンジ相場」ラベル
■ ロジック解説
RSHLメソッドは、ピボットハイ（直近高値）とピボットロー（直近安値）を動的なサポート/レジスタンスとして使用します。
1. 価格がピボットハイを上抜け → BULL状態
2. 価格がピボットローを下抜け → BEAR状態
3. 価格レンジがATR×感度以下 → RANGE状態
単純な移動平均クロスよりも、より客観的なトレンド評価が可能です。
■ デザインの特徴
- ネオンカラー（シアン/マゼンタ/イエロー）で視認性最大化
- 太字フォーマットでどの解像度でも読みやすい
- グロー効果のボーダーでプロフェッショナルな外観
- 絵文字アイコンで瞬時にパターン認識
■ 注意事項
本インジケーターは教育・分析目的で設計されています。売買シグナルを提供するものではありません。必ずご自身の分析とリスク管理と組み合わせてご使用ください。
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Developed by EduVest | 30 Years of STEM Education Experience
For customization inquiries, please see my profile.
Elder Unified Strategy Final v2.1Description:
1. Philosophy & Concept
This strategy is a modern implementation of Dr. Alexander Elder’s legendary "Triple Screen Trading System" and the "Impulse System." The core philosophy is to filter every trading decision through three distinct timeframes ("Screens") to minimize risk and align with the dominant market force:
Screen 1 (The Tide): The long-term trend (Higher Timeframe).
Screen 2 (The Wave): Intermediate corrections/pullbacks on the current chart.
Screen 3 (The Ripple): The specific entry trigger when momentum realigns with the trend.
2. Why This Script Was Tuned? (The Enhancement)
In the classic Elder definition, the "Tide" is determined strictly by the slope of the Weekly MACD Histogram.
The Tuning: In strongly trending markets (like Gold or Crypto), deep pullbacks often cause the MACD Histogram on the higher timeframe to slope down temporarily. This results in valid Dip-Buying opportunities being rejected because the strict filter turns the "Traffic Light" red too early.
The Solution (v2.1 Tuning): We introduced a "Tide Filter Mode" selector:
Classic Mode: Uses MACD Slope (Very strict, fewer signals).
Trend Mode (Default): Uses the HTF EMA 200. As long as the price is above the HTF EMA 200, the trend is considered Bullish. This allows the strategy to capture high-probability pullbacks in strong trends without being filtered out prematurely.
3. Key Features
Unified Dashboard: Monitors the Tide (HTF), Wave (Stochastic), and Impulse (Momentum) status in a single, non-intrusive panel.
Dual-Signal Logic: Supports both "Swing Pullback" traders and "Momentum Breakout" traders.
Visual EMAs: Automatically displays the Tactical EMAs (13 & 26) for short-term crossovers and the Strategic EMA (200) for the major trend baseline.
Impulse Coloring: Bars are colored Green (Bullish), Red (Bearish), or Blue (Neutral) based on the combined momentum of EMA and MACD.
4. How to Use (Strategy Guide)
Select your Trading Mode in the settings menu:
A. STANDARD MODE (Triple Screen / Swing)
Best for traders who prefer buying "on sale" during a trend.
BUY Rules:
Screen 1: HTF is Bullish (Price > HTF EMA 200).
Screen 2: Stochastic drops into Oversold (<20) or crosses back up.
Screen 3: Price breaks above the previous candle's High.
Visual: "TS Buy" Label (Lime Green).
SELL Rules: The inverse of Buy (HTF Bearish + Stoch Overbought).
B. AGGRESSIVE MODE (Impulse Momentum)
Best for traders who prefer catching breakouts and strong momentum moves.
BUY Rules:
Screen 1: HTF is Bullish.
Screen 2: The candle turns GREEN (Impulse System: EMA 13 rising + MACD Hist rising).
Visual: Small "Mom" Triangle (Teal).
C. HYBRID MODE
Displays both signal types simultaneously for a complete market overview.
5. Settings
Tide Filter (Screen 1): Set to "HTF EMA Direction" for responsive trend-following (recommended), or "MACD Slope" for the strict classic method.
HTF Multiplier: The time factor for the Higher Timeframe. (e.g., Input 5 on a 15m chart = H1 Trend Data).
Show Tactical EMAs: Toggles the visibility of the EMA 13 (Blue) and EMA 26 (Purple).
Disclaimer
This indicator is for educational and analytical purposes only. Past performance does not guarantee future results. Always use proper risk management and Stop Losses.
Premium Money Flow Oscillator [NeuraAlgo]Premium Money Flow Oscillator (PMFO) — NeuraAlgo
The Premium Money Flow Oscillator (PMFO) is an advanced volume-weighted momentum engine designed to reveal true capital flow, not just price movement.
It combines multi-layer smoothing, zero-lag correction, and dynamic normalization to deliver a clean, responsive, and noise-resistant money flow signal suitable for both scalping and swing trading.
Unlike traditional oscillators, PMFO focuses on pressure behind price — showing when smart money accumulation or distribution is actively occurring.
🔹 Core Features
Volume-Weighted Money Flow
Measures real buying and selling pressure using price displacement × volume.
Filters out weak price moves with low participation.
Multi-Layer Smoothing Engine
EMA + SMA hybrid base smoothing
Gaussian noise reduction
Zero-Lag correction
Deep & Super smoothing layers
→ Result: ultra-smooth yet fast reaction to momentum shifts.
Dynamic Normalization
Automatically adapts to volatility.
Keeps signals consistent across all markets and timeframes.
🔹 Smart Zones & Visual Intelligence
Dynamic Overbought / Oversold Zones
Zones strengthen visually as momentum increases.
Strong zones highlight extreme institutional pressure.
Adaptive Gradient Coloring
Color intensity reflects money flow strength.
Instantly see dominance without reading numbers.
Background Pulse
Subtle market bias feedback (bullish / bearish pressure).
🔹 Multi-Timeframe Confirmation
Optional Higher Timeframe Money Flow Confirmation
Align lower-timeframe entries with higher-timeframe capital direction.
Ideal for trend validation and false-signal reduction.
🔹 Professional Dashboard
Live Money Flow Value
Market Flow State
Strength Percentage
MTF Trend Bias
Institutional-style status readout designed for quick decision making.
🔹 Best Use Cases
✔ Trend confirmation
✔ Momentum continuation entries
✔ Reversal exhaustion detection
✔ Divergence analysis
✔ Smart money flow tracking
⚠️ Notes
PMFO works best when combined with price structure, support/resistance, or trend context.
Extreme readings indicate pressure, not immediate reversal — always wait for confirmation.
Designed for traders who want clarity, not clutter.
Built for precision, not lag.
Trend Force Index (HTF Momentum)📌 Description
Trend Force Index • HTF Momentum (TFI-HTF) is a market context and trend-strength indicator designed to help traders understand directional force, momentum quality, and higher-timeframe bias.
This tool measures directional impulse and trend pressure using a dual-average force model, normalized by volatility. Instead of producing buy or sell signals, it focuses on how strong a move is, which side controls the market, and whether price is in a trending or compressing state.
🔍 What This Indicator Shows
Directional Force: Identifies bullish, bearish, and neutral force zones
Momentum Quality: Differentiates strong trends from weak or fading moves
Compression Zones: Highlights low-force environments where trades are often lower quality
Higher-Timeframe Context (HTF): Displays directional bias from a higher timeframe for alignment
Volatility Normalization: Adapts to changing market conditions using ATR
🧭 How to Use
Use force direction to confirm price action or structure-based setups
Trade in alignment with HTF bias for higher-probability context
Avoid entries during compression / low-force zones
Best used alongside price action, market structure, VWAP, or support & resistance
🎛 UI Presets
PRO Mode: Clean, subdued visuals for experienced traders
BEGINNER Mode: Higher contrast visuals for easier interpretation
⚠️ Important Notes
This indicator does NOT generate buy or sell signals.It is intended for analysis, confirmation, and market context only. Always combine with your own trading plan and risk management
⚠️ Disclaimer
This indicator is provided for educational and analytical purposes only.It does not constitute financial advice or trade recommendations.All trading decisions and associated risks remain the sole responsibility of the user.Past market behavior does not guarantee future results.
MACD Matrix: Angle & SettlementThis indicator is a comprehensive Multi-Timeframe (MTF) Dashboard designed for technical traders who rely on MACD not just for crossovers, but for Momentum Angle and Settlement (Hooks).
Instead of cluttering your screen with 5 different MACD charts, this Matrix calculates the math in the background and presents a clean "Heads-Up Display" of the MACD state across your specific timeframes (Default: 3m, 15m, 1h, 4h, 16h).
The Concept: "Angle Settlement"
Standard MACD indicators only show you when a cross happens. By then, the move is often halfway over. This script focuses on the Angle (Slope) of the MACD line to predict turns before they happen:
Steep Angle: Momentum is accelerating. (Strong Trend)
Settling Angle: The slope is flattening out. The MACD line is "hooking." (Reversal/Cross Imminent)
Dashboard Columns Explained
TF (Timeframe): Auto-formats your settings into readable text (e.g., "240" becomes "4h").
Zone:
> 0 (Green): MACD is above the Zero Line (Bullish Trend context).
< 0 (Red): MACD is below the Zero Line (Bearish Trend context).
Cross:
PCO (Green): Positive Crossover (MACD > Signal).
NCO (Red): Negative Crossover (MACD < Signal).
Deg (°):
The calculated mathematical angle of the MACD line.
Positive (+): Momentum is rising.
Negative (-): Momentum is falling.
State (The Strategy):
STEEP (Bright Color): The angle is increasing. Do not trade against this momentum.
SETTLE (Dim Color): The angle is decreasing compared to the previous bar. The momentum is "cooling off," often signaling a "Hook" or an upcoming crossover.
Settings & Customization
Custom Timeframes: You can freely change TF-1, TF-2, etc., in the settings. The table labels will auto-update (e.g., if you change 4h to 1D, the table will display "1D").
MACD Lengths: Fully customizable (Default 12, 26, 9).
Angle Sensitivity: A multiplier to calibrate the "Degrees" to your specific asset class (Crypto, Forex, or Indices). If angles look too small, increase this value.
Zenith MACD Evolution [JOAT]
Zenith MACD Evolution - Volatility-Normalized Momentum Oscillator
Introduction and Purpose
Zenith MACD Evolution is an open-source oscillator indicator that takes the classic MACD and normalizes it by ATR (Average True Range) to create consistent overbought/oversold levels across different market conditions. The core problem this indicator solves is that traditional MACD values are incomparable across different volatility regimes. A MACD reading of 50 might be extreme in a quiet market but normal in a volatile one.
This indicator addresses that by dividing MACD by ATR and scaling to a consistent range, allowing traders to use fixed overbought/oversold levels that work across all market conditions.
Why ATR Normalization Works
Traditional MACD problems:
- Values vary wildly based on price and volatility
- No consistent overbought/oversold levels
- Hard to compare across different instruments
- Extreme readings in one period may be normal in another
ATR-normalized MACD (Zenith) solves these:
- Values scaled to consistent range
- Fixed overbought/oversold levels work across all conditions
- Comparable across different instruments
- Extreme readings are truly extreme regardless of volatility
How the Normalization Works
// Classic MACD
= ta.macd(close, fastLength, slowLength, signalLength)
// ATR for normalization
float atrValue = ta.atr(atrNormLength)
// Volatility-Normalized MACD
float zenithMACD = atrValue != 0 ? (histLine / atrValue) * 100 : 0
float zenithSignal = ta.ema(zenithMACD, signalLength)
The result is a MACD that typically ranges from -200 to +200, with consistent levels:
- Above +150 = Overbought
- Below -150 = Oversold
- Above +200 = Extreme overbought
- Below -200 = Extreme oversold
Signal Types
Zero Cross Up/Down - Zenith crosses zero line (trend change)
Overbought/Oversold Entry - Zenith enters extreme zones
Overbought/Oversold Exit - Zenith leaves extreme zones (potential reversal)
Momentum Shift - Histogram direction changes (early warning)
Divergence - Price makes new high/low but Zenith does not
Histogram Coloring
The histogram uses four colors to show momentum state:
- Strong Bull (Teal) - Positive and rising
- Weak Bull (Light Teal) - Positive but falling
- Strong Bear (Red) - Negative and falling
- Weak Bear (Light Red) - Negative but rising
This helps identify momentum shifts before crossovers occur.
Dashboard Information
Zenith - Current normalized MACD value with signal line
Zone - Current zone (EXTREME OB/OVERBOUGHT/NORMAL/OVERSOLD/EXTREME OS)
Momentum - Direction (RISING/FALLING/FLAT)
Histogram - Current histogram value
ATR Norm - Current ATR value used for normalization
Classic - Traditional MACD value for reference
How to Use This Indicator
For Mean-Reversion:
1. Wait for Zenith to reach extreme zones (+200/-200)
2. Look for momentum shift (histogram color change)
3. Enter counter-trend when exiting extreme zone
For Trend Following:
1. Enter long on zero cross up
2. Enter short on zero cross down
3. Use histogram color to gauge momentum strength
For Divergence Trading:
1. Watch for DIV labels (price vs Zenith divergence)
2. Bullish divergence at support = potential long
3. Bearish divergence at resistance = potential short
Input Parameters
Fast/Slow/Signal Length (12/26/9) - Standard MACD parameters
ATR Normalization Period (26) - Period for ATR calculation
Overbought/Oversold Zone (150/-150) - Zone thresholds
Extreme Level (200) - Extreme threshold
Show Classic MACD Lines (false) - Toggle traditional lines
Show Divergence Detection (true) - Toggle divergence signals
Divergence Lookback (14) - Bars to scan for divergence
Timeframe Recommendations
All timeframes work due to normalization
Higher timeframes provide smoother signals
Normalization makes cross-timeframe comparison meaningful
Limitations
ATR normalization adds slight lag
Divergence detection is simplified
Extreme zones can persist in strong trends
Works best when combined with price action analysis
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes.
This indicator does not constitute financial advice. Momentum analysis does not guarantee profitable trades. Always use proper risk management.
- Made with passion by officialjackofalltrades
Trend Following MACD + MA Ribbon+ADX+CMOTraders - this is a trend following strategy, It uses MACD, ADX, and EMA 1 & EMA 3 during the entry. For the exits, it uses price action piercing EMA 2, along the Chande Momentum Oscillator. For those not familiar, this is a cousin to the RSI, and Stocastic and responds very well to fast moving changes of regime. I have used this mostly with crypto currency, but other assets may work well. Enjoy and safe trading
KDJ Momentum Matrix ProKDJ Momentum Matrix Pro (Trend Filter & Structural Divergence)
Overview
This is a professional-grade KDJ indicator script designed for systematic traders. It transcends the basic KDJ logic by integrating advanced technical analysis features, including dynamic trend filtering and structural divergence alerts. The script leverages intuitive color schemes and visual markers to help traders identify high-probability setups amidst market noise.
Key Features
Dynamic J-Line Coloring: The J-line switches between Green (Bullish) and Red (Bearish) based on momentum, providing instant feedback on market strength.
Visual Overbought/Oversold Zones: Shaded 80/20 regions help traders identify market extremes and potential exhaustion points.
Structural Divergence Alerts: Built-in detection for potential Bullish Divergence, serving as a powerful confluence tool for Chan Lun (Zen Theory) Type 1 entries.
Precision Signal Markers: Identifies high-conviction Gold Crosses in oversold zones and Death Crosses in overbought zones.
Strategic Integration
Chan Lun (Zen Theory): Use KDJ divergence to validate "Central Segment" (Zhong Shu) exhaustion and identify potential trend reversals.
Turtle Trading Rules: Utilize the script to find pullbacks within a major trend for scaling in, or use J-line exhaustion as an early warning for trend exits.
Advanced Analysis: Apply the 80/20 rule combined with divergence patterns to build a robust framework for navigating both trending and ranging markets.
KDJ 进阶策略分析脚本 (趋势过滤与结构背离版)
简介
这是一个专为进阶交易者设计的 KDJ 指标脚本。它不仅完美呈现了传统的 K、D、J 三线逻辑，更融入了现代高级技术分析中的动态趋势过滤与背离预警功能。脚本通过视觉化的颜色切换与符号标记，帮助交易者在复杂的市场波动中识别高质量的入场机会。
核心功能
动态 J 线变色：J 线根据动量强弱实时切换红绿颜色，直观反映多空博弈状态。
超买/超卖视觉化：自动填充 80/20 警戒区域，辅助识别极端市场情绪。
结构性背离预警：内置逻辑可识别价格与指标间的疑似底背离，为缠论第一类买点提供辅助参考。
信号标记：精确捕捉低位金叉与高位死叉，过滤无效杂波。
交易系统结合点
缠论结合：通过 KDJ 在超卖区的背离表现，辅助确认中枢背驰或小级别转大级别的转折点。
海龟交易法：利用 KDJ 辅助寻找趋势回调后的补仓位置（顺势金叉），或作为趋势衰竭的早期预警离场参考。
高级技术分析：结合 80/20 区域规则，利用指标钝化与交叉逻辑，构建完整的震荡与趋势切换框架。
BTC vs GOLD Macro RotationBTC vs GOLD Macro Rotation Indicator
BTC vs GOLD Macro Rotation Model
This indicator is a macroeconomic rotation model that compares the relative attractiveness of Bitcoin (BTC) versus Gold (GOLD) based on multiple fundamental macro factors.
How does it work?
The model analyzes weekly data from various macroeconomic indicators and generates a score for each asset. The taller bar indicates the preferred asset to rotate capital into.
- Green bars (above zero): BTC strength
- Yellow bars (below zero):GOLD strength
- Info table:Shows exact percentages and rotation recommendation
Macroeconomic Factors Analyzed:
1. DXY (US Dollar Index)
- Strong dollar → Favors GOLD
- Weak dollar → Favors BTC
2. Oil (WTI Crude)
- Oil rising → Favors GOLD
- Oil falling → Favors BTC
3. Copper
- Copper rising → Favors BTC (risk-on)
- Copper falling → Favors GOLD (risk-off)
4. Real Rates (Fed Funds - YoY Inflation)
- Real rates falling → Favors GOLD
- Real rates rising → Favors BTC
5. Fertilizer/Natural Gas Regime (Urea, Ammonia, Natural Gas)**
- Specific combinations of movements in these commodities generate inflationary/deflationary regime signals
Fertilizer Rules:**
| Urea | Ammonia | Gas | Signal |
|------|---------|-----|--------|
| ↑ | ↑ | ↓ | GOLD +2 |
| ↑ | ↑ | ↑ | GOLD +3, BTC -1 |
| ↓ | ↓ | ↓ | BTC +3, GOLD -1 |
| ↑ | ↓ | ↓ | BTC +3 |
| ↓ | ↑ | ↑ | GOLD +3, BTC -1 |
Technical Features:
- Operates on weekly timeframe regardless of chart
- Normalized changes for signal stability
- Configurable EMA smoothing
- Safe handling of invalid symbols (won't break if a ticker doesn't exist)
- All tickers are user-editable
Configurable Inputs:
- Symbols for all assets (BTC, GOLD, DXY, Oil, Copper, CPI, Fed Funds, Gas, Urea, Ammonia)
- Individual weights for each macro component
- Normalization length
- EMA smoothing
Interpretation:**
- **BTC dominant (taller green):** Macro conditions favor risk/digital assets
- **GOLD dominant (taller yellow):** Macro conditions favor safe-haven/tangible assets
This indicator is for educational and informational purposes only. It does not constitute financial advice. Always do your own research before making investment decisions.
Recommended Timeframe: Weekly (W) or Daily (D)
Intuitive Predictive MACD TargetsThis indicator uses Reverse Engineering math to calculate the exact price the market needs to reach for specific MACD events to happen on the current bar.
Standard MACD is a lagging indicator—you usually wait for the candle to close to confirm a signal. This script changes that by drawing "Finish Lines" on your chart, showing you exactly where price must go right now to trigger a Crossover or a Momentum Hook.
The "Reverse Engineering" Concept
Instead of calculating MACD from Price, we calculate the Required Price from the Target MACD.
Q: "At what price will the MACD line cross the Signal line?"
A: The script solves this and draws the Green/Red "Crossover" Line.
Key Features
1. Three Distinct Targets
Crossover Target (PCO/NCO): The exact price needed to trigger a Buy/Sell signal on the current candle.
Dynamic Coloring: Turns Green if price needs to go UP to cross, Red if price needs to go DOWN.
Settlement Target (The Hook): The exact price where the MACD momentum flattens out (Angle = 0). If price touches this Orange Dashed Line, the trend is likely pausing or preparing to reverse.
Zero Cross Target: The price needed for MACD to reclaim the Zero Line.
2. Smart "Staggered" Labels (No Overlap)
Unlike other scripts where text piles up and becomes unreadable, this indicator automatically spreads labels horizontally.
Crossover info stays near the price.
Settlement info is shifted to the right.
Zero info is shifted further right.
Result: You can read all three targets clearly, even if the prices are almost identical.
3. Full Customization
Line Length: Choose "Infinite" to see targets as Support/Resistance levels across the screen, or "Short" to keep your chart background clean.
Text Visibility: Option to force text to White or Black for high contrast on Dark/Light themes.
Styles: Fully adjustable colors, line widths, and styles (Solid, Dashed, Dotted) for each target type.
How to Use
The "Finish Line" Strategy: If you are Long, and the Red NCO Line appears just below the current price, be cautious. It means a very small drop will confirm a Bearish Cross.
Momentum Checks: Watch the Orange "Settlement" Line.
If price is moving away from the Orange line, the trend is accelerating (Safe to hold).
If price touches the Orange line, momentum has died (Consider taking profit).
Settings
Visual Settings: Change Line Length (Infinite/Short) and Text Color.
MACD Settings: Standard inputs (Default 12, 26, 9).
Toggles: Option to show/hide the Zero Line target.
MDZ Strategy v4.2 - Multi-factor trend strategyWhat This Strategy Does
MDZ (Momentum Divergence Zones) v4.2 is a trend-following strategy that enters long positions when multiple momentum and trend indicators align. It's designed for swing trading on higher timeframes (2H-4H) and uses ATR-based position management.
The strategy waits for strong trend confirmation before entry, requiring agreement across five different filters. This reduces trade frequency but aims to improve signal quality.
Entry Logic
A long entry triggers when ALL of the following conditions are true:
1. EMA Stack (Trend Structure)
Price > EMA 20 > EMA 50 > EMA 200
This "stacked" alignment indicates a strong established uptrend
2. RSI Filter (Momentum Window)
RSI between 45-75 (default)
Confirms momentum without entering overbought territory
3. ADX Filter (Trend Strength)
ADX > 20 (default)
Ensures the trend has sufficient strength, not a ranging market
4. MACD Confirmation
MACD line above signal line
Histogram increasing (momentum accelerating)
5. Directional Movement
+DI > -DI
Confirms bullish directional pressure
Exit Logic
Positions are managed with ATR-based levels:
ParameterDefaultDescriptionStop Loss2.5 × ATRBelow entry priceTake Profit6.0 × ATRAbove entry priceTrailing Stop2.0 × ATROptional, activates after entry
The default configuration produces a 1:2.4 risk-reward ratio.
Presets
The strategy includes optimized presets based on historical testing:
PresetTimeframeNotes1H Standard1 HourMore frequent signals2H Low DD2 HourConservative settings3H Optimized3 HourBalanced approach4H Swing4 HourWider stops for swing tradesCustomAnyFull manual control
Select "Custom" to adjust all parameters manually.
Inputs Explained
EMAs
Fast EMA (20): Short-term trend
Slow EMA (50): Medium-term trend
Trend EMA (200): Long-term trend filter
RSI
Length: Lookback period (default 14)
Min/Max: Entry window to avoid extremes
ADX
Min ADX: Minimum trend strength threshold
Risk
Stop Loss ATR: Multiplier for stop distance
Take Profit ATR: Multiplier for target distance
Trail ATR: Trailing stop distance (if enabled)
Session (Optional)
Filter entries by time of day
Recommended OFF for 3H+ timeframes
What's Displayed
Info Panel (Top Right)
Current preset
Trend status (Strong/Wait)
ADX, RSI, MACD readings
Position status
Risk-reward ratio
Stats Panel (Top Left)
Net P&L %
Total trades
Win rate
Profit factor
Maximum drawdown
Chart
EMA lines (20 blue, 50 orange, 200 purple)
Green background during strong uptrend
Triangle markers on entry signals
Important Notes
⚠️ This is a long-only strategy. It does not take short positions.
⚠️ Historical results do not guarantee future performance. Backtests show what would have happened in the past under specific conditions. Markets change, and any strategy can experience drawdowns or extended losing periods.
⚠️ Risk management is your responsibility. The default settings risk 100% of equity per trade for backtesting purposes. In live trading, appropriate position sizing based on your risk tolerance is essential.
⚠️ Slippage and commissions matter. The backtest includes 0.02% commission and 1 tick slippage, but actual execution costs vary by broker and market conditions.
Best Practices
Test on your specific market — Results vary significantly across different instruments
Use appropriate position sizing — Never risk more than you can afford to lose
Combine with your own analysis — No indicator replaces understanding market context
Paper trade first — Validate the strategy matches your trading style before risking capital
Alerts
Two alerts are available:
MDZ Long Entry: Fires when all entry conditions are met
Uptrend Started: Fires when EMA stack first aligns bullish
Methodology
This strategy is based on the principle that trend continuation has better odds than reversal when multiple timeframe momentum indicators agree. By requiring five independent confirmations, it filters out weak setups at the cost of fewer total signals.
The ATR-based exits adapt to current volatility rather than using fixed pip/point targets, which helps the strategy adjust to different market conditions.
Questions? Leave a comment below.
Relative Strength of a Stock vs NIFTY SMALLCAPRelative Strength vs NIFTY SMALLCAP
This indicator measures the relative strength (RS) of any stock compared to the NIFTY Smallcap Index. It helps traders identify whether a stock is outperforming or underperforming the Smallcap market over a selected period.
The indicator is based on relative performance comparison rather than absolute price movement, making it useful for stock selection, rotation strategies, and trend confirmation.
How it works
The indicator compares the stock’s price performance with the NIFTY Smallcap index over a defined lookback period. Relative Strength is calculated as the ratio of stock performance to index performance and is normalized around a zero line.
Interpretation
RS above zero means the stock is outperforming the Smallcap index.
RS below zero means the stock is underperforming the Smallcap index.
A rising RS line indicates improving relative strength.
A falling RS line indicates weakening relative strength.
Features
Zero line for quick outperform or underperform identification.
Dynamic RS coloring based on positive or negative strength.
Optional moving average of Relative Strength to identify RS trends.
RS trend angle to visualize strength momentum.
Price confirmation bubbles to align relative strength with price trend.
Reference date label showing the comparison start point.
Alert conditions for rising and declining relative strength.
Best use cases
Smallcap stock selection.
Identifying leaders and laggards within the Smallcap universe.
Trend confirmation for swing and positional trading.
Market and stock rotation analysis.
Avoiding weak stocks during strong market phases and vice versa.
Notes
Default comparison index is NIFTY Smallcap 100.
Works on all timeframes.
Designed as a non-repainting indicator.
This indicator is for analysis and educational purposes only and should not be used as a standalone trading system.
Laguerre Timeframe OscillatorLaguerre Timeframe Breadth Oscillator
Multi-timeframe × multi-gamma Laguerre breadth model
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Usage Notes
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• This is a regime & consensus indicator, not a trigger
• Best used for trend validation and risk filtering
• Extreme values tend to persist during strong regimes
This indicator answers a single question:
“Out of 198 independent Laguerre filters, how many are currently rising?”
────────────────────────
Concept
────────────────────────
Using Laguerre polynomials, we aggregate price behavior across:
• 11 explicit timeframes (1-minute → 1-day)
• 18 gamma responsiveness levels (0.10 → 0.95)
This produces 198 independent Laguerre curves.
The final oscillator is NOT price.
It represents a directional consensus across timescales and smoothing sensitivities.
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Laguerre Filter Mathematics
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For each Laguerre line i:
L0ᵢ(t) = (1 − γᵢ) · x(t) + γᵢ · L0ᵢ(t−1)
L1ᵢ(t) = −γᵢ · L0ᵢ(t) + L0ᵢ(t−1) + γᵢ · L1ᵢ(t−1)
L2ᵢ(t) = −γᵢ · L1ᵢ(t) + L1ᵢ(t−1) + γᵢ · L2ᵢ(t−1)
L3ᵢ(t) = −γᵢ · L2ᵢ(t) + L2ᵢ(t−1) + γᵢ · L3ᵢ(t−1)
Smoothed output:
Yᵢ(t) = ( L0ᵢ + 2·L1ᵢ + 2·L2ᵢ + L3ᵢ ) / 6
This weighted sum smooths noise while preserving phase better than a traditional EMA.
────────────────────────
Gamma Responsiveness
────────────────────────
Gamma controls responsiveness vs stability:
0.10 — Very fast, noisy
0.40 — Momentum-sensitive
0.70 — Trend-stable
0.95 — Very slow, structural
Each timeframe is evaluated across all gamma levels.
────────────────────────
Timeframes Used (11)
────────────────────────
Minutes: 1, 3, 5, 10, 15, 30, 45
Hours: 1, 2, 4
Days: 1
────────────────────────
Direction Test
────────────────────────
Each Laguerre line votes “up” or “down”:
Iᵢ(t) = 1 if Yᵢ(t) > Yᵢ(t−1)
Iᵢ(t) = 0 otherwise
────────────────────────
Breadth Calculation
────────────────────────
greenCount(t) =
I₁(t) + I₂(t) + I₃(t) + … + I₁₉₈(t)
Total number of rising Laguerre filters.
────────────────────────
Centered Breadth Oscillator
────────────────────────
oscRaw(t) = greenCount(t) − 99
(99 = half of 198; zero represents balanced breadth)
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Smoothing & Amplification
────────────────────────
EMA smoothing:
oscSmooth(t) = EMA₁₀₀(oscRaw)
Extreme emphasis:
oscExtreme(t) = 2 · oscSmooth(t)
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Clamped Final Output
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osc(t) = max( −99 , min( 99 , oscExtreme(t) ) )
Range:
• −99 → all filters falling
• 0 → mixed / neutral
• +99 → all filters rising
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Optional Probabilistic Interpretation
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p(t) = greenCount(t) / 198
Interpretable as the probability of upward directional alignment.
Reach out on Discord if you need further guidance. - Coño Vista
Strength Relative to XXX [Hysteresis Smoothed]Strength Relative to XXX
█ OVERVIEW
This versatile indicator measures the relative strength of the current charted asset against any user-selected benchmark symbol (e.g., BTC, ETH, SP:SPX, TVC:GOLD, or any other asset). Green fill = Current asset outperforming the benchmark (bullish relative strength).
Red fill = Current asset underperforming the benchmark (bearish relative weakness). Perfect for rotation strategies across crypto, stocks, forex, and commodities — quickly identify assets gaining momentum edge over a chosen benchmark.
█ HOW IT WORKS
• Relative Ratio : Calculates current close / benchmark close for normalized comparison.
• Smoothing : Applies a Simple Moving Average (SMA) to the ratio (adjustable length).
• Oscillator : Plots deviation from the SMA, centered around zero.
• Hysteresis Enhancement : Adds a small relative threshold (~0.03% default) to prevent rapid color flips from minor noise. Color persists until a convincing cross — stable blocks without lag.
█ FEATURES & INPUTS
• Compare to : Symbol input for any benchmark (match exchange for accuracy).
• MA Length : Smoothing period (default 10).
• Relative Hysteresis Threshold : Noise filter strength (default 0.0003; tweak for responsiveness vs. stability).
█ USAGE TIPS
• Apply to ALT/BTC pairs for crypto rotations, stocks vs. SP:SPX for sector strength, or any custom comparison.
• Works on all timeframes — ideal for short-term scans on 4H/daily.
• Green zones = potential outperformance; red = caution.
• Combine with volume or momentum for confluence.
This refined relative strength oscillator delivers clean, reliable visuals in volatile markets.
Volume-Weighted RSI [VWRSI 2D Pro]A modular, volume-weighted RSI indicator built for clarity and control.
✅ Profile-based auto modes (Scalping → Macro)
✅ Toggleable Buy/Sell signals with strict mode
✅ RSI MA overlays for smoother entries
Buy Signal
RSI crosses above RSI MA
RSI > 50 (or > 55 in strict mode)
Sell Signal
RSI crosses below RSI MA
RSI < 50 (or < 45 in strict mode)
Strict mode filters out weak signals for higher conviction entries.
Volatility-Adaptive RSI Thresholds:
Traditional RSI uses static levels (70/30).
VWRSI Pro replaces these with dynamic bands:
🔹dynHigh = mean + mult × deviation
🔹 dynLow = mean − mult × deviation
Technical write-up can be found here: github.com
Vortex Trend Matrix [JOAT]Vortex Trend Matrix - Multi-Factor Trend Confluence System
Introduction and Purpose
Vortex Trend Matrix is an open-source overlay indicator that combines Ichimoku-style equilibrium analysis with the Vortex Indicator to create a comprehensive trend confluence system. The core problem this indicator solves is that single trend indicators often give conflicting signals. Price might be above a moving average but momentum might be weakening.
This indicator addresses that by combining five different trend factors into a single composite score, making it easy to identify when multiple factors align for high-probability trend trades.
Why These Components Work Together
Each component measures trend from a different perspective:
1. Cloud Position - Price above/below the equilibrium cloud indicates overall trend bias. The cloud acts as dynamic support/resistance.
2. TK Relationship - Conversion line vs Base line (like Tenkan/Kijun in Ichimoku). Conversion above Base = bullish momentum.
3. Lagging Span - Current price compared to price N bars ago. Confirms whether current move has follow-through.
4. Vortex Indicator - VI+ vs VI- measures directional movement strength. Provides momentum confirmation.
5. Base Direction - Whether the base line is rising or falling. Indicates medium-term trend direction.
How the Trend Score Works
float trendScore = 0.0
// Cloud position (+2/-2)
trendScore += aboveCloud ? 2.0 : belowCloud ? -2.0 : 0.0
// TK relationship (+1/-1)
trendScore += conversionLine > baseLine ? 1.0 : conversionLine < baseLine ? -1.0 : 0.0
// Lagging span (+1/-1)
trendScore += laggingBull ? 1.0 : laggingBear ? -1.0 : 0.0
// Vortex (+1.5/-1.5)
trendScore += vortexBull ? 1.5 : vortexBear ? -1.5 : 0.0
// Base direction (+0.5/-0.5)
trendScore += baseDirection * 0.5
Score ranges from approximately -6 to +6:
- +4 or higher = STRONG BULL
- +2 to +4 = BULL
- -2 to +2 = NEUTRAL
- -4 to -2 = BEAR
- -4 or lower = STRONG BEAR
Signal Types
TK Cross Up/Down - Conversion line crosses Base line (momentum shift)
Base Direction Change - Base line changes direction (medium-term shift)
Strong Bull/Bear Trend - Score reaches +4/-4 (high confluence)
Dashboard Information
Trend - Overall status with composite score
Cloud - Price position (ABOVE/BELOW/INSIDE)
TK Cross - Conversion vs Base relationship
Lagging - Lagging span bias
Vortex - VI+/VI- relationship
VI+/VI- - Individual vortex values
How to Use This Indicator
For Trend Following:
1. Enter long when trend score reaches +4 or higher (STRONG BULL)
2. Enter short when trend score reaches -4 or lower (STRONG BEAR)
3. Use cloud as dynamic support/resistance for entries
For Momentum Timing:
1. Watch for TK Cross signals for entry timing
2. Base direction changes indicate medium-term shifts
3. Vortex confirmation adds conviction
For Risk Management:
1. Exit when trend score drops to neutral
2. Use cloud edges as stop-loss references
3. Reduce position when score weakens
Input Parameters
Conversion Period (9) - Fast equilibrium line
Base Period (26) - Slow equilibrium line
Lead Span Period (52) - Cloud projection period
Displacement (26) - Cloud and lagging span offset
Vortex Period (14) - Period for vortex calculation
VI+ Strength (1.10) - Threshold for strong bullish vortex
VI- Strength (0.90) - Threshold for strong bearish vortex
Timeframe Recommendations
4H-Daily: Best for equilibrium-based analysis
1H: Good for intraday trend following
Lower timeframes may require adjusted periods
Limitations
Equilibrium calculations have inherent lag
Cloud displacement means signals are delayed
Works best in trending markets
May whipsaw in ranging conditions
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes.
This indicator does not constitute financial advice. Trend analysis does not guarantee profitable trades. Always use proper risk management.
- Made with passion by officialjackofalltrades
Kernel Filter Histogram (RBF)The Kernel Filter Histogram (RBF) is a regime-detection and edge-confirmation tool built on Gaussian (RBF) kernel regression.
It is designed to identify when market conditions are favorable for participation and when traders should stay defensive.
Instead of reacting to price noise, this indicator measures the normalized slope of a smoothed kernel regression curve, converts it into a z-score, and displays it as a histogram representing directional edge pressure.
What It Measures
Underlying market regime (bullish, bearish, or neutral)
Strength and quality of directional momentum
Statistical edge expansion vs compression
When trend continuation is more likely vs chop
How It Works
Applies Nadaraya–Watson kernel regression using a Gaussian (RBF) kernel
Calculates the slope of the regression curve
Normalizes slope using ATR for cross-instrument consistency
Converts the result into a z-score to measure statistical deviation
Smooths the output into a readable histogram + signal line
Uses an optional threshold gate to filter low-quality conditions
Reading the Histogram
Green bars → Bullish regime / positive edge
Red bars → Bearish regime / negative edge
Gray bars → Neutral / low-edge environment
Above zero → Bullish pressure dominates
Below zero → Bearish pressure dominates
Threshold gating allows you to require minimum edge strength before treating signals as actionable.
Best Use Cases
Trade filter (only take longs when bullish, shorts when bearish)
Regime confirmation for existing strategies
Momentum quality assessment
Avoiding chop and low-probability setups
Multi-timeframe alignment tool
What This Is (and Is Not)
✔ IS: A high-quality regime and edge filter
✔ IS: Designed for professional trading systems
✔ IS: Instrument-agnostic and timeframe-agnostic
✖ NOT: A buy/sell signal generator
✖ NOT: A lagging moving average
✖ NOT: A beginner indicator
Recommended Usage
Use this indicator as a gatekeeper:
Only execute setups when the histogram confirms favorable regime conditions
Combine with your entry trigger, not instead of it
Works exceptionally well with trend-following, momentum, and mean-expansion systems
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."
Market Probability Dashboard📊 Market Probability Dashboard
Market Probability Dashboard is a context-driven analytical tool designed to help traders assess directional bias and market conditions using a probabilistic framework.
It does not generate buy/sell signals. Instead, it provides a structured view of bullish vs bearish probability, market regime, and execution readiness — allowing traders to make informed discretionary decisions.
🔍 What This Indicator Does
This indicator estimates the probability of directional movement in the market by combining:
Futures-based momentum and volatility (execution focus)
Spot-based structure and regime (context focus)
A bounded probability engine with adaptive caps
A visual state model for decision clarity
The output is a dashboard + histogram that summarizes market conditions in real time.
🧠 Probability Model (High-Level)
The probability engine follows these principles:
Baseline neutrality: Starts from 50%
Momentum adjustment: Futures EMA alignment nudges probability
Volatility awareness: Expanding volatility increases confidence
Regime control: Spot-derived regime limits probability extremes
Clamping: Probabilities are intentionally bounded to avoid overconfidence
All probabilities are relative, not predictive.
⏱ Timeframe Logic (Auto Mode)
When Auto Timeframe Engine is enabled:
Execution timeframe = chart timeframe
Context timeframe = automatically derived higher timeframe
Regime timeframe = higher-order structure timeframe
This design helps reduce confusion between execution vs context, especially for intraday traders.You may disable Auto Mode and use fixed timeframes if preferred.
📊 Visual Layout Explained
1️⃣ Probability Histogram (Bottom Pane)
Green bars → Bullish probability dominance
Red bars → Bearish probability dominance
Yellow zone (45–55) → No-trade / balance area
Bar opacity increases with conviction strength
This view helps you see how probability evolved historically, not just the latest value.
2️⃣ Dashboard Panel (Top-Right)
Field Meaning
ACTION Current market participation state
UP BIAS % Bullish probability (bounded)
MARKET MODE Regime derived from spot structure
TRADE TF Execution timeframe
CONTEXT TF Higher timeframe context
The table is intentionally minimal to remain readable on all chart sizes.
🧭 Decision State Logic (Interpretation Guide)
The indicator classifies conditions into states, not signals:
State Interpretation
NO-TRADE Balanced or range-bound conditions
SCALP-ALLOW Short-term participation possible with reduced expectations
TRADE-LIGHT Directional bias present, moderate conviction
TRADE-PRESS Strong alignment and momentum
EXIT Momentum deterioration or probability reversal
These are context labels, not trade instructions.
🧑💻 How to Use This Indicator
Best used as:
A bias filter before taking trades
A context layer alongside price action
A confidence gauge, not a trigger
Recommended pairing:
Price structure
Volume / VWAP
Personal risk rules
⚠️ Important Disclaimer
This indicator is for analytical and educational purposes only.It does not provide buy/sell signals.It does not predict future price. All probability values are estimates, not guarantees.Trading involves risk. Always validate decisions using your own analysis and risk management.
