Dynamic Extreme Channels & Reversals [LuxAlgo]The Dynamic Extreme Channels & Reversals indicator provides an adaptive framework for identifying price extremes and trend shifts through self-adjusting boundaries. Unlike static channels, this tool dynamically resets its levels based on price activity, offering a responsive environment for trend following and mean-reversion analysis.
🔶 USAGE
The indicator functions by tracking the highest highs and lowest lows over a specific window. When the price fails to make a new extreme within the defined period, the boundaries contract toward the current price action. This behavior creates a "breathing" channel that adapts to market volatility and consolidation phases.
Users can toggle between two primary viewing modes:
Channel Mode: Displays the upper, lower, and midline boundaries. This is ideal for identifying overextended price levels and potential mean-reversion targets.
Trailing Stop Mode: Simplifies the visual output into a single step-line that tracks the lower boundary during uptrends and the upper boundary during downtrends, serving as a dynamic exit or trend-following level.
🔹 Reversal Signals
The script includes built-in reversal signals designed to catch "blow-off" tops or "panic" bottoms where price briefly exceeds a boundary but immediately loses momentum.
Bullish Signal (▲): Occurs when the price hits a new lower extreme (LL) but the current candle manages to peak back above the channel midline.
Bearish Signal (▼): Occurs when the price hits a new higher extreme (HH) but the current candle manages to drop below the channel midline.
The sensitivity and frequency of these signals are directly influenced by the Lookback Period and Reset Alpha % :
Lookback Period: A shorter lookback causes the channel boundaries to "reset" more frequently. This results in tighter channels and more frequent reversal signals, as the midline becomes easier to cross. A longer lookback creates wider, more stable channels, resulting in fewer, high-conviction signals.
Reset Alpha %: This determines how aggressively the levels move toward the price after the lookback period expires. A high Alpha (e.g., 100%) creates sharp adjustments, which can lead to rapid signal generation during choppy markets. A lower Alpha creates smoother transitions, filtering out noise in the reversal logic.
🔶 DETAILS
The core logic avoids standard rolling maximum/minimum functions to provide a more "sticky" boundary. Instead of the channel edge constantly moving with every bar, it remains fixed until a new extreme is reached or the "timer" (Lookback Period) runs out.
When the timer runs out, the level interpolates toward the price based on the Reset Alpha. This simulates a decaying memory of past price extremes, ensuring the indicator remains relevant even after long periods of sideways movement.
🔶 SETTINGS
🔹 Core Settings
Lookback Period: The number of bars the indicator waits before adjusting an extreme level if no new high/low is found.
Reset Alpha %: Controls the intensity of the level adjustment. 100% resets the level entirely to the current price, while 0% keeps it static.
Trailing Stop Mode: Switches the display from a three-line channel to a single trend-following stop line.
🔹 Visuals
Show Reversal Signals: Toggles the visibility of the triangle reversal labels.
Upper Color: Customizes the color and transparency of the upper boundary.
Midline Color: Customizes the color and transparency of the center line.
Lower Color: Customizes the color and transparency of the lower boundary.
🔹 Dashboard
Dashboard: Toggles the on-screen information panel.
Position: Controls the location of the dashboard on the chart.
Size: Controls the scale of the dashboard text and cells.
Penunjuk dan strategi
GK Trend Ribbon SWING + PREPARE HUD
GK Trend Ribbon SWING + PREPARE HUD
Is a trend-following swing-trading indicator designed to identify high-probability directional bias, early trade preparation, and confirmed trend shifts using a volatility-adjusted zero-lag trend ribbon. This script is purpose-built for traders who value patience, structure, and confirmation, rather than fast scalping or candle-by-candle noise.
HOW IT WORKS
indicator is built around a Zero-Lag EMA (ZLEMA) to reduce traditional EMA delay while maintaining smooth trend behaviour. An ATR-based volatility envelope is applied above and below the ribbon to define dynamic trend boundaries. Trend states are determined as follows: Bullish mode: Price sustains above the upper volatility band with confirmation Bearish mode: Price sustains below the lower volatility band with confirmation Neutral mode: Price remains inside the ribbon range A trend change is only confirmed after multiple bar confirmation, helping filter false breakouts and market noise.
PREPARE SIGNALS
(Early Awareness)Before a confirmed trend flip, the indicator displays PREPARE GK BUY / PREPARE GK SELL warnings: These appear only on the live (unconfirmed) candle They act as early awareness, not entry signals They disappear if conditions are not confirmed This allows traders to prepare mentally and structurally without repainting past signals. Confirmed Signals Confirmed GK BUY / GK SELL signals are only printed after bar close and only when: A valid trend transition is confirmed Directional conditions persist The previous trend state is invalidated Once printed, confirmed signals do not repaint.
HUD BANNER
The integrated HUD provides real-time market state feedback: Bullish Mode Bearish Mode Neutral / Wait Prepare Buy / Sell warnings This allows quick decision-making without needing to interpret raw price action continuously. Inputs & Customisation Swing Ribbon Length – controls trend smoothness (higher = slower, stronger trends)ATR Length – volatility measurement period Band Multiplier – sensitivity of trend boundaries Confirmation Bars – number of bars required to confirm a trend shift.
RECOMENDED USEGE
Best suited for 15-minute, 30-minute, and higher time frames Designed for swing trading, not scalping Expect natural drawdown during trend development Works best when combined with proper risk management and market structure awareness
Important Notes This indicator does not predict price It reacts to confirmed market structure and volatility No indicator guarantees profitability Always use appropriate risk management Disclaimer This script is provided for educational and analytical purposes only .It is not financial advice .Trading involves risk, and users are responsible for their own trading decisions.
Z-Score Predictive Zones [AlgoPoint]Z-Score Predictive Zones
This indicator is an advanced evolution of the classic Z-Score (Standard Score) oscillator. Unlike traditional Z-Score indicators that use static overbought/oversold levels (e.g., +2.0 or -2.0), this script utilizes a dynamic memory system to identify where the market statistically tends to reverse based on recent history.
It provides a dual-view system: it displays the oscillator in the bottom pane and simultaneously projects those statistical extremes onto the main chart as Predictive Support and Resistance Zones.
1. Underlying Concept & Math
The core calculation is based on the Standard Score formula: Z = (Price - Mean) / Standard Deviation
- Adaptive Thresholds : The script detects pivot points (peaks and troughs) in the Z-Score history. It stores the most recent reversals (based on user-defined depth) and calculates the average level where the market has historically reversed.
- Reverse Engineering (Price Projection) : The script takes these average Z-Score reversal levels and reverse-engineers the formula to find the corresponding price on the main chart: Projected Price = Mean + (Target Z * Standard Deviation)
- Noise Reduction : The raw Z-Score is smoothed using a Volume Weighted Moving Average (VWMA) to reduce false signals.
2. Key Features
Dynamic Predictive Zones (Main Chart):
- Red Zone (Resistance) : Represents the price area where the Z-Score hits its historical average peak.
- Green Zone (Support) : Represents the price area where the Z-Score hits its historical average trough.
Note: These zones expand and contract based on market volatility (Standard Deviation).
Dual Visualization:
- Bottom Pane : Shows the Z-Score oscillator with the calculated dynamic steps.
- Main Chart : Uses force_overlay=true to draw the corresponding price channels directly on the candles, allowing for real-time price action analysis.
- RSI Gradient Coloring : The oscillator line changes color based on RSI (Relative Strength Index) values to provide additional momentum context (Purple/Blue gradients).
- Signal Dots : Plots small circles on the main chart when the price enters these extreme statistical zones, indicating a potential mean reversion opportunity.
3. How to Use
This indicator is best used for Mean Reversion strategies.
- Potential Short : When price enters the Red Zone (Upper Channel) and a red dot appears, the price is statistically overextended relative to its recent volatility profile.
- Potential Long : When price enters the Green Zone (Lower Channel) and a green dot appears, the price is statistically undervalued relative to the mean.
- Trend Warning : If the price candles close forcefully beyond these zones and the zones begin to widen rapidly, it may indicate a breakout or a strong trend initiation rather than a reversal.
4. Settings
- Z-Score Length : The lookback period for the Mean and Standard Deviation.
- Lookback Depth : How many past reversal points the script should "remember" to calculate the average zones.
- Reversal Thresholds : The minimum Z-Score value required to register a peak or trough as a valid data point.
- Visuals : Toggle signal dots on/off.
bosstvs tikole sir | ALL IN ONE ULTIMATE NEW STRONG BUY SELLWhat this indicator is
“bosstvs tikole sir | ALL IN ONE ULTIMATE” is a multi-indicator trading tool for TradingView.
It combines trend direction, buy/sell signals, targets, and key levels into one chart.
It is mainly designed for intraday & swing trading.
Main components explained
1. SuperTrend (Trend Direction)
Uses SuperTrend to identify the market trend
When price crosses above SuperTrend → bullish
When price crosses below SuperTrend → bearish
Sensitivity controls how fast/slow signals appear
2. Buy & Sell Signals
A BUY signal appears when:
Price crosses above SuperTrend
Price is above 13-period SMA
Label shows Buy or Strong Buy
Strong Buy = short-term momentum is stronger
A SELL signal appears when:
Price crosses below SuperTrend
Price is below 13-period SMA
Label shows Sell or Strong Sell
Alerts are available for both BUY and SELL.
3. Trend Cloud (Market Bias)
Uses 21 SMA & 34 SMA
Green cloud → bullish trend
Red cloud → bearish trend
Helps you stay on the correct side of the trend
4. Pivot Highs & Lows (Support / Resistance)
Automatically marks recent swing highs and lows
Useful for:
Stop-loss placement
Breakout & rejection trades
5. First Candle High–Low Targets (Intraday Logic)
Takes the first candle of the day
Calculates:
Buy target = High + Day range
Sell target = Low − Day range
Shows target levels on the chart
Signals when price hits the target
Best used on intraday timeframes.
6. EMA, SMA & VWAP (Dynamic Levels)
Optional moving averages:
EMA 21 → short-term trend
SMA 50 → medium-term trend
VWAP → institutional price level
You can turn each ON/OFF from settings.
How traders typically use it
Check the cloud → trend direction
Wait for SuperTrend signal
Confirm with EMA / SMA
Use pivot levels for stop-loss
Use day targets for exits
Best timeframes
5 min / 15 min → intraday
30 min / 1H → swing trades
Who this indicator is for
✔ Intraday traders
✔ Trend followers
✔ Traders who want everything in one script
❌ Not ideal for pure sideways markets
Colidation Breakout Structure(HA-CBS)Overview
Most breakout indicators suffer from "noise," reacting to every minor price movement and producing frequent fakeouts. HA-CBS solves this by utilizing Heikin-Ashi (HA) smoothing and Swing Point analysis to isolate periods of extreme energy accumulation (Consolidation) and verifying the subsequent breakout with Fair Value Gaps (FVG) .
⚠️ Usage Note: This script is strictly optimized for Heikin-Ashi charts . The core logic relies on Heikin-Ashi body (Open/Close) calculations. To ensure the signals align perfectly with the price action you see, please switch your chart type to Heikin-Ashi.
How it Works: The HA-CBS Logic
Unlike generic indicators that draw signals instantly, HA-CBS follows a rigorous three-step verification process to ensure market displacement is real:
Structural Mapping: Using a multi-term swing point algorithm, the script identifies key supply and demand boundaries.
Consolidation Counting (The "Coil"): The script measures how many consecutive Heikin-Ashi bodies remain "tucked" within the structural range. A built-in CANDLE_MARGIN_RATE ensures that insignificant doji-like candles don't disrupt the count. The longer the "coil," the higher the potential for an explosive breakout.
Kinetic Validation (FVG): When price finally breaks the structural boundary, the script checks for a Fair Value Gap. An FVG-backed breakout confirms that institutional "Impulse" is present, distinguishing a genuine trend start from a mere stop-run.
Key Features
Impulse Filter: Filters out low-momentum movements by requiring an FVG at the moment of the structural break.
HA-Body Precision: Focuses on the "core" of the candle, ignoring volatile wicks that often lead to false signals.
Multi-Term Flexibility: Users can toggle between Short, Intermediate, and Long-term swing structures to suit scalping, day trading, or swing trading.
Recent Candidate Mode: Use the Recent Only toggle to keep your chart clean by only displaying the most recent and relevant breakout candidate for each structure.
Trading Strategy
Strategy A: The Impulse Entry (Aggressive)
Enter the trade as soon as the HA-CBS signal is confirmed (HA Close breaks the structure with an FVG). This captures the immediate momentum as a new supply/demand imbalance is established.
Strategy B: The Mitigation Entry (Conservative)
Wait for price to return (retrace) to the identified HA-CBS Block. Institutional players often "mitigate" their positions by returning to the breakout source. This approach typically offers a higher Risk/Reward ratio.
Q-Trend + Keltner Squeeze ZonesThe indicator you are using is a **custom combination** of two distinct tools overlaid on the same chart in TradingView: **Q-Trend** (by tarasenko_) and a **Keltner Channel Squeeze** setup (with Bollinger Bands for squeeze detection). The result is a visual system designed to identify trend direction and manage positions with volatility-aware levels.
### 1. Q-Trend Component
**Purpose**: Determines the overall trend bias and generates entry/continuation signals.
**How it works** (core logic):
- It calculates a dynamic **trend line** (often labeled "Q-Trend Line" when visible) as the midpoint between the highest and lowest price over a long lookback period (default 200 bars).
- An **ATR-based buffer** (epsilon = ATR × multiplier, default 1.0) is added/subtracted to create upper and lower threshold bands around this trend line.
- Signals occur when price crosses or decisively moves beyond these thresholds:
- **Buy signal** → price breaks above the upper threshold (trend line + epsilon).
- **Sell signal** → price breaks below the lower threshold (trend line – epsilon).
- **Strong signals** incorporate additional conditions based on proximity to recent range extremes.
- Bar coloring (blue for bullish, red for bearish by default) and optional labels/arrows reinforce the trend direction.
**Practical role in your setup**:
- Acts as the **primary trend filter**.
- You only consider long positions when the chart shows bullish coloring/signals, and short positions when bearish.
### 2. Keltner Channel Squeeze Component
**Purpose**: Identifies periods of low volatility (compression) and potential directional breakouts, while providing dynamic support/resistance and trailing levels.
**How it works**:
- **Center line** → 20-period EMA of close (orange when visible) — serves as your visual midpoint reference.
- **Inner bands** → Center ± (ATR × inner multiplier). Default inner = 1.8 ATR.
- **Outer bands** → Center ± (ATR × outer multiplier). Default outer = 3.3 ATR.
- **Bollinger Bands** (optional, default hidden) → 20-period SMA ± 2 standard deviations — used only internally to detect a **squeeze** (when BB width < inner Keltner width).
- **Squeeze breakout arrows**:
- Lime up arrow below bar → bullish breakout (close above upper inner band after squeeze).
- Red down arrow above bar → bearish breakout (close below lower inner band after squeeze).
- **Labels** appear at key events:
- "SQUEEZE BREAK UP" / "SQUEEZE BREAK DOWN" on initial breakout.
- "REBALANCE UP" / "REBALANCE DOWN" when price returns inside the inner band after a breakout (potential mean-reversion or failure).
**Visual zones** (when fills are enabled):
- Upper red zone (between inner and outer upper bands) → potential short/rejection area in downtrends.
- Lower blue zone (between inner and outer lower bands) → potential long/rejection area in uptrends.
### Your Overall Strategy (as Described)
This is a **trend-following system with volatility-based scaling and protection**. It is designed to enter/add to positions in the direction of the prevailing trend while using the Keltner structure for timing and risk management.
**Key rules you follow**:
1. **Trend filter first** — Confirm direction with Q-Trend:
- Bullish (blue bars, Buy/Strong Buy signals) → only consider long trades.
- Bearish (red bars, Sell/Strong Sell signals) → only consider short trades.
2. **Addition (scaling in)**:
- In an **uptrend**: Add to longs when price pulls back **below the centerline** (mid Keltner/EMA) or touches/rejects the **inner lower band**.
- In a **downtrend**: Add to shorts when price rallies to the **inner upper band**.
- Rationale: These are temporary retracements within the trend, not reversals. Scaling here improves average entry price.
3. **Entry trigger**:
- Often initiated or confirmed by a Q-Trend Buy/Sell signal.
- Keltner breakout arrows (lime/red) can provide additional timing confirmation.
4. **Trailing stop-loss**:
- For **long positions**: Trail stop-loss below the **outer lower band** (lower_outer).
- For **short positions**: Trail stop-loss above the **outer upper band** (upper_outer).
- As price moves favorably, the outer band follows (via the shifting EMA + ATR), automatically locking in gains.
- Activate/tighten the trail upon entry (e.g., after a Buy signal or breakout arrow).
**Risk considerations**:
- Use position sizing appropriate to account risk (e.g., 1–2% per trade).
- The outer bands widen in high volatility → more room to breathe but larger potential loss.
- Avoid forcing trades in choppy/range-bound markets (Q-Trend signals become less reliable).
- Backtest on your specific instrument/timeframe (e.g., futures like ES/NQ) to validate behavior.
This setup rewards patience: wait for clear trend alignment (Q-Trend), add on volatility-supported pullbacks (Keltner inner/mid), and let winners run while protecting with adaptive trailing levels (Keltner outer). If you would like clarification on any parameter, visual adjustment, or addition of alerts for your exact rules, please specify.
Polynomial Regression Clustering [LuxAlgo]The Polynomial Regression Clustering indicator utilizes K-Means clustering to categorize historical price data into discrete levels and fits polynomial regression curves to each identified cluster.
This tool allows traders to visualize non-linear trends within specific price regimes, providing a unique perspective on support, resistance, and price momentum.
🔶 USAGE
The indicator identifies "K" number of clusters based on the vertical distribution of price over a user-defined lookback period. Each cluster represents a group of bars that share similar price levels, and a polynomial regression line is calculated to represent the localized trend for that specific group.
🔹 Cluster Identification
The script groups price action into color-coded dots. By default, it uses the HL2 (Average price) to determine which cluster a bar belongs to. This is particularly useful for identifying historical value areas where price has spent a significant amount of time.
🔹 Polynomial Fitting
Unlike standard linear regression, which produces a straight line, the polynomial regression curves can bend to fit the data more accurately.
A Polynomial Degree of 1 will result in a standard linear regression (straight lines). A Polynomial Degree of 2 or higher allows for curves that capture parabolic moves or cyclical swings within each cluster.
🔹 Future Projections
The current active cluster (the one containing the most recent price point) can be projected into the future. This allows you to see where the localized trend for the current price regime is heading based on the mathematical fit of historical data.
🔶 DETAILS
🔹 K-Means Algorithm
The script uses an iterative K-Means algorithm to find the optimal centroids (center points) for the price levels. It calculates the distance of each price point to the nearest centroid and refines the centroid position until the clusters are stable or the maximum iterations are reached.
🔹 Regression Logic
Once price points are assigned to a cluster, the script solves for the coefficients of a polynomial equation that minimizes the distance between the line and the cluster's data points. To ensure numerical stability with higher degrees, the horizontal (time) axis is normalized before performing matrix operations.
🔶 SETTINGS
🔹 K-Means
Number of Clusters (K): Defines how many price levels the indicator should look for. Higher values create more granular levels. Lookback Period: The number of recent bars used to perform the clustering and regression calculation. Max Iterations: The maximum number of refinement steps for the K-Means algorithm.
🔹 Regression
Polynomial Degree: Controls the "bend" of the regression lines. Higher degrees allow for more complex curves. Extend All Fits to Current Bar: When enabled, the regression lines for all historical clusters are extended to the rightmost edge of the chart. Project Current Cluster into Future: Extends the current regime's regression line into the future (empty space) using a dashed line.
🔹 Visual Style
Show Regression Lines: Toggles the visibility of the polynomial curves. Show Cluster Dots: Toggles the visibility of the colored dots on each price bar. Dot Size: Adjusts the size of the cluster dots. Cluster Colors: Customizable colors for each of the identified clusters.
Volume Surge Breakout + TP/SL█ OVERVIEW
“Volume Surge Breakout + TP/SL” is a breakout indicator designed to capture strong momentum moves driven by sudden increases in trading volume and decisive price action. Instead of focusing on classical consolidation structures, the indicator reacts to volume-based impulses combined with candle strength, identifying moments when the market shifts out of short-term balance.
After a confirmed breakout, the indicator automatically plots the entry level, Stop Loss, and up to three Take Profit targets, making it a complete momentum-trading tool.
█ CONCEPTS
Strong market moves often begin with a sudden surge in volume, signaling increased participation and commitment from market participants. This indicator detects such moments by combining three core conditions:
- volume significantly above its average,
- a candle body clearly larger than the previous one,
- directional price close confirming bullish or bearish intent.
When these conditions are met, a momentum zone (box) is drawn around the signal candle. The box extends forward until a breakout occurs, which then triggers the entry signal and full TP/SL projection. A breakout in the opposite direction invalidates the zone, filtering out false impulses.
█ FEATURES
Volume filter
- volume > volume SMA × Volume Threshold (default 2.0×)
- adjustable volume average length (Volume SMA Length)
Candle strength filter
- current candle body > previous candle body × Body Multiplier
- removes weak and random price moves
Dynamic impulse zones (boxes)
- green for LONG, red for SHORT
- semi-transparent fill with colored borders
- boxes extend to the right until a breakout occurs
- opposite breakout deletes the zone
Breakout signals
- small green triangles below the bar (LONG)
- small red triangles above the bar (SHORT)
- signals appear only after a valid breakout from the zone
Volume strength display
- optional label showing the volume multiplier (e.g. 2.35×)
- color-coded to match trade direction
Automatic Take Profit & Stop Loss
- two SL calculation modes:
• ATR-based (default 1.5× ATR)
• Percentage-based from entry price
- up to 3 Take Profit levels based on Risk-to-Reward ratios
- independent visibility toggles for SL, TP1, TP2, TP3
- visual fills:
• red – risk zone
• green – reward zone
Single active trade logic
- TP/SL levels are locked once SL or the furthest TP is hit
- lines terminate exactly at the exit bar
Alerts
- LONG – bullish volume impulse
- SHORT – bearish volume impulse
█ HOW TO USE
Add the indicator to your TradingView chart → Indicators → search for
“Volume Surge Breakout + TP/SL”.
After each valid breakout, you will see:
- a volume impulse box,
- a breakout triangle,
- the entry line,
- SL and TP1–TP3 levels,
- a visual risk-to-reward projection.
Key settings to optimize:
Volume
- Volume SMA Length – averaging period for volume
- Volume Threshold – minimum volume multiplier
- Body Multiplier – required candle body expansion
TP / SL
- choose SL mode: ATR or Percentage
- ATR period and multiplier
- RR values for TP1, TP2, TP3
Signal interpretation:
- Green box + green triangle + TP above price = LONG
- Red box + red triangle + TP below price = SHORT
- No breakout = no trade (box remains observational)
█ APPLICATIONS
- Momentum and breakout trading across all timeframes
- Best used as an entry trigger, not as a standalone strategy
Recommended confluence-based approach:
The highest-quality signals occur when the breakout aligns with broader market context:
- higher-timeframe trend agreement
- breakout signal generated by the indicator
- increasing momentum (e.g. RSI, MACD, custom momentum oscillators)
- no major resistance/support levels directly in front of price
- volume impulse confirming market participation
Example:
If the market is in an uptrend, a LONG breakout signal appears, momentum is accelerating, and no nearby resistance is present, the trade is worth considering, using the automatically projected RR levels.
- Aggressive two-sided trading is possible but requires stricter signal selection
- Higher RR setups (e.g. TP3 = 3–5× SL) with lower win rates often outperform over time
█ NOTES
This indicator works only on markets with real volume data (e.g. stocks, futures, many crypto markets).
On instruments without real volume (such as some CFD indices), signals may be unreliable or the indicator may not function correctly.
Always test and optimize parameters for the specific instrument and timeframe. The indicator intentionally does not interpret market structure — its sole purpose is to identify clean volume-driven impulses.
Jinzo Prior Month/Week & Current Month High/Low/POCThis script includes:
- Prior Month H/L
- Current Month H/L
- Prior Week H/L
- Prior Month POC
- Current Month POC
- Prior Week POC
Internal vs External Liquidity Zones [Alpha Extract]A sophisticated dual-timeframe market structure visualization system that identifies and maps internal (short-term) and external (long-term) liquidity levels with comprehensive Break of Structure (BOS) and Change of Character (CHoCH) detection across both timeframes. Utilizing pivot-based zone creation with ATR-scaled heights and sweep classification, this indicator delivers institutional-grade liquidity mapping distinguishing between major swing liquidity (external) and minor retracement liquidity (internal) for multi-dimensional market structure analysis. The system's hierarchical structure framework combined with objective arrow projection and state-based zone coloring provides complete smart money concept implementation for advanced order flow trading.
🔶 Understanding Internal vs External Structure
External Structure represents major swing points using longer pivot lengths (default 10 bars), identifying significant highs and lows that define the broader market range and trend direction. These are the key levels where large institutional positions likely exist, stop losses cluster, and major trend reversals may occur. External structure breaks (eBOS/eCHoCH) signal significant shifts in market sentiment and often precede sustained directional moves.
Internal Structure captures minor swing points within the external range using shorter pivot lengths (default 3 bars), revealing short-term liquidity pools formed during retracements, consolidations, and minor corrections. These represent areas where smaller participants' stops accumulate and where price often reacts before continuing toward external objectives. Internal structure breaks (iBOS/iCHoCH) provide early warning signals and tactical entry opportunities within the broader external trend context.
The relationship between internal and external structure creates a hierarchical framework: external zones define the "what" (overall bias and major objectives), while internal zones reveal the "how" (tactical path and entry models). When internal structure breaks bullish while within an external bearish range, it signals potential reversal setup. When internal breaks align with external direction, it confirms trend strength.
🔶 Advanced Dual-Pivot Detection Framework
Implements separate pivot calculation systems for external and internal structure with configurable lookback periods optimizing for different swing magnitudes. The system identifies external pivots using extended length capturing major swing extremes, detects internal pivots using compressed length for minor retracement highs/lows, and optionally requires internal pivots occur within current external range boundaries ensuring hierarchical structure coherence.
// Dual Structure Detection
External_Pivot_High = ta.pivothigh(high, External_Length, External_Length)
External_Pivot_Low = ta.pivotlow(low, External_Length, External_Length)
Internal_Pivot_High = ta.pivothigh(high, Internal_Length, Internal_Length)
Internal_Pivot_Low = ta.pivotlow(low, Internal_Length, Internal_Length)
// Optional Range Requirement
Valid_Internal = requireInside ? (pivot within ) : true
🔶 BOS and CHoCH Detection System
Break of Structure (BOS) occurs when price breaks a recent structure point in the direction of the current trend, confirming trend continuation. The system identifies BOS when:
Price breaks above previous high while trend remains bullish (bullish BOS)
Price breaks below previous low while trend remains bearish (bearish BOS)
Previous structure point hasn't been violated yet
Change of Character (CHoCH) signals potential trend reversal when price breaks structure counter to the established trend direction. The system detects CHoCH when:
Price breaks above previous high while trend was bearish (bullish CHoCH - reversal signal)
Price breaks below previous low while trend was bullish (bearish CHoCH - reversal signal)
Both external (e-prefix) and internal (i-prefix) structures generate independent BOS/CHoCH labels, enabling multi-timeframe structure analysis where eCHoCH may signal major reversal while iBOS confirms minor trend within that reversal.
🔶 Intelligent Zone Creation Architecture
Features ATR-based or tick-based zone height calculation with separate sizing for internal and external liquidity levels, creating visual boxes centered on pivot points. The system calculates zone dimensions using configurable ATR multiples (default 0.40x) or fixed tick counts, positions zones symmetrically above/below pivot levels, and applies distinct color schemes distinguishing external highs (red), external lows (white), internal highs (cyan), and internal lows (blue).
🔶 Equal High/Low Detection Mode
Provides advanced internal zone mode that only creates zones when consecutive internal pivots form equal highs or equal lows within ATR-based tolerance, filtering noise and highlighting significant accumulation/distribution patterns. The system tracks previous internal pivots, compares new pivots against tolerance threshold, creates averaged zone when equality detected, and ignores isolated pivots that don't form patterns, reducing visual clutter while emphasizing institutional liquidity clustering.
🔶 Comprehensive Sweep Classification System
Implements three sweep detection modes distinguishing between liquidity grabs and genuine breakouts with state-based zone coloring:
Wick Mode: Marks zone as swept when wick touches but close remains outside
Close Mode: Requires close through zone for sweep classification
Wick+Close Classify Mode: Distinguishes sweeps (S - wick touches, close outside) from breaks (B - close through zone)
The system transitions zones through three states: Active (0 - untouched), Swept (1 - liquidity grabbed), Broken (2 - fully breached), applying progressive transparency increases to visually distinguish state changes and enabling traders to identify false breakouts versus genuine structural violations.
🔶 Objective Arrow Projection Framework
Features intelligent objective labeling that triggers when internal zones are swept, projecting arrows pointing toward opposite external structure as probable targets. The system generates "->ExtH" labels when internal low swept (suggesting move toward external high) and "->ExtL" labels when internal high swept (suggesting move toward external low), providing smart money concept implementation where internal liquidity grabs often precede runs toward external objectives.
🔶 Dynamic Zone Management System
Maintains separate arrays for external and internal zones with configurable history modes and maximum zone limits. The system implements "Latest Only" mode (clears previous external zones of same side when new pivot detected) or "Keep History" mode (preserves all zones up to maximum limit), automatically expires oldest zones when limits reached, and optionally clears all internal zones when new external pivot forms, maintaining clean chart presentation while preserving relevant liquidity context.
🔶 Trend Momentum Scoring Engine
Calculates sophisticated trend state using dual-component analysis combining momentum (price change normalized by volatility) with strength (MA separation and slope alignment). The system generates TrendScore objects containing momentum value, strength percentage, direction (-1/0/+1), and confidence score (0-100), uses these scores to classify BOS versus CHoCH by comparing previous and current trend states, and provides objective structural classification beyond simple price level violations.
🔶 Adaptive Zone Extension Logic
Implements intelligent right-edge management where active zones extend to current bar but freeze at touch/sweep point when cut-on-touch enabled. The system continuously updates zone right boundaries during active state, locks boundary at bar of first violation, and maintains locked position through subsequent bars, creating visual history of when liquidity was accessed while preventing misleading forward projection of filled zones.
🔶 Multi-State Visual Feedback System
Provides comprehensive color and transparency modulation based on zone state with two visual style options. "Soft Fill" mode uses semi-transparent fills with subtle borders, while "Outline" mode displays only colored borders with transparent fills. The system applies progressive transparency increases: Active (light), Swept (medium), Broken (heavy), with independent control over fill and border transparency enabling customization from subtle hints to prominent highlighting.
🔶 Structure Line Visualization Architecture
Creates dashed horizontal lines connecting structure break points to current bar with BOS/CHoCH labels positioned at midpoint between break bar and detection bar. The system draws lines at exact structure level, applies color coding matching bullish (green) or bearish (red) classification, and uses compact labels (eBOS, eCHoCH, iBOS, iCHoCH) for instant structural event identification without cluttering chart with excessive text.
🔶 Performance Optimization Framework
Utilizes efficient array management with configurable maximum limits (default 120 zones each type), automatic cleanup of oldest elements, and optional hiding of filled zones reducing active object count. The system includes intelligent state tracking minimizing recalculation overhead, optimized sweep detection using simple comparison logic, and streamlined zone update loops processing only active zones for consistent performance across extended sessions.
🔶 Why Choose Internal vs External Liquidity Zones ?
This indicator delivers institutional-grade market structure analysis through hierarchical dual-timeframe liquidity mapping with comprehensive BOS/CHoCH detection. The distinction between external (major swing) and internal (minor retracement) structure provides complete smart money concept implementation where external zones define bias and targets while internal zones reveal tactical entries and stop hunts. The system's sweep classification distinguishes liquidity grabs from genuine breakouts, objective arrows project probable targets based on internal sweeps toward external levels, and comprehensive BOS/CHoCH labeling across both timeframes enables multi-dimensional structural analysis. Perfect for order flow traders implementing ICT concepts, liquidity-based strategies, or market maker models in cryptocurrency, forex, and futures markets where understanding the relationship between internal accumulation and external objectives is essential for high-probability trade location and proper risk management.
Relative Valuation Oscillator [QuantAlgo]🟢 Overview
The Relative Valuation Oscillator identifies statistical price deviations from fair value using logarithmic price analysis and standard deviation bands. It calculates how far current price has deviated from its mean on a logarithmic scale, normalized by volatility, to generate a centered oscillator that highlights periods when price is statistically stretched above or below its historical average, helping traders identify potential mean reversion opportunities and extreme valuation conditions across different timeframes and markets.
🟢 How It Works
The indicator's core methodology lies in its statistical approach to price valuation, where deviations are measured using logarithmic returns and normalized by standard deviation:
log_price = math.log(close)
mean_log_price = ta.sma(log_price, lookback_period)
standard_deviation = ta.stdev(log_price, lookback_period)
valuation_score = (log_price - mean_log_price) / standard_deviation
First, the script converts price to logarithmic form to account for percentage-based price movements rather than absolute dollar changes, ensuring the indicator works consistently across different price levels and asset classes.
Then, it calculates the mean log price over the specified lookback period to establish a baseline fair value reference:
mean_log_price = ta.sma(log_price, lookback_period)
Next, standard deviation measurement quantifies the typical volatility of log price around this mean, providing a statistical framework for defining normal versus extreme price behavior:
standard_deviation = ta.stdev(log_price, lookback_period)
The valuation score is then derived by measuring how many standard deviations the current log price sits from its mean, creating a normalized oscillator that fluctuates around zero:
valuation_score = (log_price - mean_log_price) / standard_deviation
Finally, threshold-based signal detection identifies extreme conditions when the valuation score exceeds user-defined standard deviation multiples:
is_overvalued = valuation_score > threshold_mult
is_undervalued = valuation_score < -threshold_mult
This creates a statistical mean reversion system that identifies when price has deviated significantly from its historical average on a volatility-adjusted basis, providing traders with objective measurements of relative over or undervaluation.
🟢 Signal Interpretation
▶ Undervalued Zone (Below Negative Threshold): Oscillator falling below the negative threshold line indicates price has deviated significantly below its statistical mean = Potential long/buy opportunities for mean reversion strategies
▶ Overvalued Zone (Above Positive Threshold): Oscillator rising above the positive threshold line indicates price has deviated significantly above its statistical mean = Potential short/sell or profit-taking opportunities
▶ Fair Value Range (Between Thresholds): Oscillator remaining between positive and negative threshold lines indicates price is trading within normal statistical bounds. Within this range, the zero line acts as a directional filter: oscillator above zero but below the upper threshold suggests bullish trend/momentum with price trading above its statistical mean = Trend-following long positions can be maintained; oscillator below zero but above the lower threshold suggests bearish trend/momentum with price trading below its statistical mean = Trend-following short positions can be maintained. The oscillator can remain in these directional zones during sustained trends until mean reversion occurs, signaled by crosses back toward zero or transitions to the opposite extreme threshold.
▶ Zero Line Crosses: Oscillator crossing above zero indicates transition from below-average to above-average valuation, confirming shift to bullish momentum = Potential trend-following long entry; crossing below zero indicates transition from above-average to below-average valuation, confirming shift to bearish momentum = Potential trend-following short entry or long exit. These crosses can signal both the start of directional trends and early mean reversion from extreme conditions.
🟢 Features
▶ Preconfigured Presets: Three optimized parameter sets for different trading approaches and timeframes. "Default" provides balanced sensitivity for swing trading on 4-hour and daily charts, generating signals at statistically significant deviations. "Fast Response" delivers more frequent signals for intraday trading on 5-minute to 1-hour charts, reacting quickly to short-term deviations with increased signal frequency. "Smooth Trend" focuses on major extremes for position trading on daily to weekly timeframes, filtering noise to identify only the most significant statistical outliers.
▶ Built-in Alerts: Five alert conditions enable automated monitoring of valuation extremes and transitions. "Overvalued Threshold Crossed" triggers when the oscillator crosses above the positive threshold, signaling potential overvaluation. "Undervalued Threshold Crossed" activates when the oscillator crosses below the negative threshold, signaling potential undervaluation. "Crossed Above Fair Value (0)" and "Crossed Below Fair Value (0)" provide alerts for zero line transitions, indicating shifts between above-average and below-average valuation. "Any Extreme Valuation" offers a combined alert for any threshold breach regardless of direction, allowing traders to monitor both extremes with a single alert setup.
▶ Color Customization: Six visual themes (Classic, Aqua, Cosmic, Cyber, Neon, plus Custom) accommodate different chart backgrounds and visual preferences, with distinct colors for overvalued, undervalued, and fair value conditions. Optional background highlighting with adjustable transparency (0-100%) tints the main chart background during extreme valuation periods, providing immediate visual context without requiring continuous oscillator monitoring. Optional overlay signals display small circle markers directly on the price chart above bars during overvaluation and below bars during undervaluation, allowing correlation of statistical extremes with specific price levels and candlestick patterns.
GCM Volume-Price EssenceTITLE: GCM Volume-Price Essence
DESCRIPTION:
“Stop trading fake moves. Start seeing the Essence of the market.”
Most indicators fail because they only look at Price. They are blind to the "Fuel" behind the move.
The GCM Volume-Price Essence (GCM VPE) is a next-generation market structure tool that mathematically fuses Price Action with Volume Impact. It filters out low-volume "noise" and highlights high-volume "true moves."
HOW IT WORKS (The Math Behind the Magic)
Unlike standard oscillators (RSI/MACD), the GCM VPE uses a proprietary Volume Impact Engine:
Momentum = PriceChange X Log(1 + VolumeRatio)
• Scenario A: Price moves up 5%, but Volume is low → The indicator ignores it (Fakeout).
• Scenario B: Price moves up 2%, but Volume is massive → The indicator spikes (True Breakout).
KEY FEATURES
1. The Quantum Flow Index (QFI)
The main line that oscillates with the market. It uses an Waves Gradient System:
• Green Waves: Strong Bullish Volume Flow.
• Red Waves: Strong Bearish Volume Flow.
• Gradient Fills: Show the strength of the trend visually.
2. The Quantum Base Line (Dynamic Center)
The "Gravity Center" of the market.
• Blue Line: The trend is Bullish (Look for Buys).
• Orange Line: The trend is Bearish (Look for Sells).
• Strategy: Trade in the direction of the Base Line.
3. Triple Candle Divergence (The "Sniper" Feature) ⚡
A specialized algorithm that detects Instant Momentum Shifts.
• Bullish Div (⚡): Price makes 3 Lower Lows, but Flow turns UP.
• Bearish Div (⚡): Price makes 3 Higher Highs, but Flow turns DOWN.
• Use Case: Excellent for catching tops and bottoms in ranging markets.
4. Signal Symbols
• ◆ (Diamond): Anticipation Signal. The Flow is preparing to cross (Early Warning).
• ⚡ (Lightning): Divergence Signal. Price and Momentum disagree (Reversal Likely).
• ▲ / ▼ (Triangle): Continuation Signal. Strong Volume confirms the trend is continuing.
5. Dynamic Zones (Non-Repainting)
The gray/colored bands represent the "Elastic Limits" of price.
• When the QFI enters the Upper Zone, the market is Overextended (Potential Reversal).
• When the QFI enters the Lower Zone, the market is Undervalued (Potential Bounce).
HOW TO TRADE
🟢 THE BUY SETUP (Long)
1. Trend Check: Ensure the Quantum Base Line is Blue.
2. The Trigger: Wait for the QFI line to cross UP through the Base Line (Look for the ◆ Diamond).
3. The Sniper Entry (Optional): If you see a ⚡ (Lightning) symbol at the bottom of a pullback, this is a high-probability reversal entry.
4. Exit: Close the trade when the QFI hits the top Red Zone (Overbought).
🔴 THE SELL SETUP (Short)
1. Trend Check: Ensure the Quantum Base Line is Orange.
2. The Trigger: Wait for the QFI line to cross DOWN through the Base Line (Look for the ◆ Diamond).
3. The Sniper Entry (Optional): If you see a ⚡ (Lightning) symbol at the top of a rally, this is a high-probability reversal entry.
4. Exit: Close the trade when the QFI hits the bottom Green Zone (Oversold).
IMPORTANT: TRADING OPTIONS? READ THIS CAREFULLY
Option volume is often "fragmented" across hundreds of different strike prices, which can give false signals on individual contracts.
• The Strategy: Apply this indicator to the Spot or Futures chart of the underlying asset (e.g., SPY, NIFTY, BTC).
• The Execution: When the indicator generates a Signal (⚡/◆) on the main chart, then execute your trade on the Option Contract.
• IMPORTANT CAUTION: Do not use this tool directly on an illiquid Option Strike.
SETTINGS & CUSTOMIZATION
• Volume Impact Factor: Adjust how sensitive the tool is to volume spikes (Default: 1.5).
• Divergence Lookback: Choose how many candles to analyze for reversals (Default: 3).
• Full Color Control: Customize every wave, line, and signal color to fit your chart theme.
DISCLAIMER: This tool is for educational and analytical purposes only. Volume analysis works best on assets with real volume data (Stocks, Crypto, Futures). For option contract, read Important Note sited above Do not use this tool directly on an illiquid Option Strike
Total Futures Volume & Open Interest (Aggregated Curve)Description
Most futures indicators only look at the front contract, but that often tells an incomplete — and sometimes misleading — story.
This indicator solves that problem by aggregating Volume and Open Interest across the entire futures curve, not just the nearest expiry.
Instead of focusing on a single contract, the script automatically scans up to 40 futures contracts ahead (roughly one year forward) for the same underlying root symbol and sums their data into a single, unified series.
🔍 Why this matters
Open Interest is about commitment, not just activity.
A drop in front-month OI can simply mean rolls, not liquidation
Rising total OI confirms new money entering the market, not just contract switching
Divergences between price and aggregated OI often signal positioning stress, exhaustion, or regime shifts
By looking at total participation across all maturities, you get a much cleaner view of:
Real capital inflows vs. mechanical rolls
Structural positioning changes
Whether volatility is driven by speculation or true exposure changes
This is especially useful during high-volatility phases, contract roll periods, and major macro moves, where front-month data alone can be deceptive.
⚙️ How it works
Automatically iterates through the last 40 futures contracts of the same root symbol starting from ~1 year ahead expiry.
Aggregates: Total Open Interest and Total Volume
Lets you choose what to display directly from the indicator settings
Fully dynamic — no manual symbol selection, no roll management
The result is a continuous, roll-agnostic view of futures participation.
🧠 How to use it
Confirm breakouts with rising aggregated OI
Detect false moves when price expands but total OI contracts
Analyze post-spike behavior to see whether moves were driven by forced liquidation or fresh positioning
Compare volatility spikes against true market engagement
Strategy Pack by cryptokazancevStrategy Pack by cryptokazancev
Комплексный инструмент для анализа рыночной структуры / Comprehensive Market Structure Analysis Tool
🇷🇺 Описание на русском
Strategy Pack by cryptokazancev - это мощный набор инструментов для технического анализа, включающий:
• Ордерблоки (Order Blocks) с настройкой количества и цветов
• Пивоты (Pivot Points) различных таймфреймов
• Рыночную структуру с зонами Фибоначчи (0.618, 0.786)
• Разворотные конструкции (пинбары и поглощения)
• Зоны интереса на основе скопления свингов
📊 Основные функции:
1. Ордерблоки
- Автоматическое определение бычьих/медвежьих OB
- Настройка максимального количества блоков (до 30)
- Кастомизация цветов
2. Пивоты
- Поддержка таймфреймов: Дневные/Недельные/Месячные/Квартальные/Годовые
- Уровни Camarilla (P, R1-R4, S1-S4)
3. Рыночная структура
- Четкое определение тренда (UP/DOWN)
- Ключевые уровни Фибо (0.618 и 0.786)
- Настройка глубины анализа (10-1000 баров)
4. Разворотные конструкции
- Обнаружение пинбаров
- Обнаружение поглощений
- Настройка чувствительности
5. Зоны интереса
- Алгоритм кластеризации свингов
- Настройка через ATR-мультипликатор
- Лимит отображаемых зон
🇬🇧 English Description
Strategy Pack is a comprehensive market analysis toolkit featuring:
• Order Blocks with customizable count and colors
• Pivot Points for multiple timeframes
• Market Structure with Fibonacci zones
• Reversal patterns (pinbars and engulfings)
• Interest Zones based on swing clustering
📊 Key Features:
1. Order Blocks
- Auto-detection of bullish/bearish OB
- Configurable max blocks (up to 30)
- Custom color schemes
2. Pivot Points
- Supports: Daily/Weekly/Monthly/Quarterly/Yearly
- Camarilla levels (P, R1-R4, S1-S4)
3. Market Structure
- Clear trend detection (UP/DOWN)
- Key Fibonacci levels (0.618 & 0.786)
- Adjustable analysis depth (10-1000 bars)
4. Reversal Patterns
- Smart pinbar detection
- ATR-based engulfing filter
- Sensitivity adjustment
5. Interest Zones
- Swing clustering algorithm
- ATR-multiplier configuration
- Display limit (up to 10 zones)
⚙️ Technical Highlights:
• Built with Pine Script v5
• Performance-optimized
• Well-commented code
• Flexible settings system
⚠️ Важно / Important:
Индикатор в бета-версии. Тестируйте перед использованием в реальной торговле.
This is BETA version. Please test before live trading.
💬 Поддержка / Support:
Комментарии к скрипту / Script comments section
Developer: ZeeZeeMon
CRR Market StructureCRR — Market Structure (Educational) is an educational chart overlay designed to help traders visualize market structure and price behavior in a clear, objective way.
This indicator focuses on:
Swing structure (HH, LH, HL, LL)
Break of Structure (BOS)
Change of Character (ChoCH)
Current market range
Optional internal Fibonacci levels
Optional confirmation filters (ATR, Volume, MACD, Gap detection)
Important
This script is NOT a trading strategy.
It does NOT generate buy or sell signals, does NOT predict future price, and does NOT provide financial advice.
It is strictly a visual and educational tool to support discretionary analysis.
How to Use This Indicator
This tool is intended to be used as a context and structure guide, not as a signal generator.
Market Structure Reading
HH / HL → Bullish structure
LH / LL → Bearish structure
Observe how price reacts after BOS or ChoCH events.
BOS vs ChoCH
BOS confirms continuation in the current trend.
ChoCH highlights a potential structural shift.
Strength is visually differentiated using optional filters.
Range Awareness
Yellow dotted lines represent the current active range.
Useful for identifying consolidation, expansion, or compression phases.
Fibonacci Context (Optional)
Internal Fibonacci levels visualize retracements inside the last structure range.
Designed for context only, not entries.
Community Usage Guidelines
This indicator is built to encourage shared learning and discussion:
Share charts showing clean BOS / ChoCH examples.
Compare structure behavior across different markets and timeframes.
Discuss price behavior, not signals.
Use screenshots to explain why structure matters.
If you publish ideas using this indicator:
Focus on market structure explanation.
Avoid calling entries or targets.
Keep analysis educational and transparent.
Final Notes
Market structure is not about prediction, but about understanding price behavior.
This tool aims to help traders see the market more clearly, reduce noise, and develop stronger analytical skills.
If you find this indicator useful:
Like
Share insights
Collaborate respectfully with the community
Scalp Master EliteWe present Scalp Master Elite 👑
This is an advanced trading indicator designed to identify high-probability reversal and take-profit zones 📍.
It combines a dynamic EMA + ATR channel 📊 with multiple confirmation indicators (RSI, Stochastic, CCI, Supertrend, Price Action and more) to reduce noise and false signals 🚫📉.
Thanks to its volatility-adaptive logic 🌊, the indicator works perfectly for scalping and intraday trading ⚡, while also adapting smoothly to higher timeframes and long-term trades 📈⏳.
Inverted bullish / bearish triangle signals 🔺🔻 are followed by one confirmed target per setup 🎯, helping traders manage exits with clarity and discipline.
Optional targets 🎯, smart alerts 🔔, ATR-based filters 📐 and a real-time win-rate table 🏆 provide full trade context with clean and intuitive visuals 🧠✨.
[CT] MTF CISD w/ExtensionsThis indicator is a modified version of “Change in State of Delivery CISD” originally created by © AlgoAlpha and released under the Mozilla Public License 2.0. The core CISD logic, including how the script identifies qualifying bullish and bearish state changes and how it draws the original CISD levels, comes from AlgoAlpha’s work. The version you are using has been modified by © ChaosTrader63 to add multi time frame CISD functionality, optional HTF labeling and styling controls, and a configurable method to extend a user selected number of the most recent current time frame CISD levels beyond the last candle.
At its core, CISD is designed to identify moments when price behavior suggests a meaningful shift in control, where one side of the market has effectively “taken delivery” and the prior state has changed. The script watches price swings, then tracks specific candle state transitions that can act like triggers. When the conditions are met, it prints a CISD level as a horizontal line originating from the candle that defined the trigger and extending to the detection candle, creating a clear reference level that can behave like a decision point for future price interaction. In practice, those levels often act as areas where price may react, reject, or accept, because they represent the point where a meaningful state change was confirmed by price behavior rather than by a simple moving average or lagging trend filter.
The indicator also includes swing based liquidity tracking to provide context around potential liquidity events. It detects swing highs and swing lows using a pivot period you control, then maintains those swing levels as “liquidity lines” until they are either mitigated or expire after a set number of bars. When price wicks into one of those swing liquidity levels and confirms the mitigation, the script records that event. If a CISD trigger happens shortly after, and the new state change occurs with evidence that opposing liquidity was just taken, the script flags that as a stronger event by marking it on the chart. This is meant to separate normal CISD signals from those that occur after a sweep, because a sweep plus a decisive state change is often more meaningful than a state change that happens in the middle of noise.
The user controls in the calculations section determine how sensitive or selective the CISD detection is. The noise filter controls how strict the script is about qualifying the internal structure that leads to a CISD event. Higher values reduce noise and typically produce fewer, more selective CISD levels, while lower values will produce more frequent levels that may be less reliable in choppy conditions. The swing period controls how far back the script looks when identifying pivot highs and lows, which changes how “major” a swing must be to count as liquidity. The expiry bars setting controls how long older liquidity levels remain active before they stop updating or are removed, and the liquidity lookback determines how recently a swing mitigation must have occurred for the script to treat the CISD as happening with a sweep.
Visually, the script colors candles based on the current CISD trend state. When a bearish CISD is detected, the trend state flips bearish and candles are shaded using the bearish color with a user controlled transparency blend, and when a bullish CISD is detected the trend state flips bullish and candles are shaded using the bullish color. This makes the tool useful not only for marking levels, but also for keeping a simple “state” view on the chart so you can see when the indicator believes control has shifted. If you enable the option to use HTF trend for candle coloring, then the candle shading can reflect the higher time frame trend state instead of the local chart state, which is helpful when you want to trade a lower time frame while staying aligned with the higher time frame CISD bias.
The modifications add a higher time frame CISD layer so you can see more significant CISD levels from a chosen HTF while trading on a lower time frame chart. When enabled, the script computes CISD on the higher time frame through a request security call and then draws HTF CISD lines onto your current chart. You can require confirmed HTF signals only, which means the HTF CISD will print only after the HTF candle closes, reducing repaint style behavior and preventing the level from appearing and disappearing mid-candle. The HTF CISD lines keep the original bullish and bearish color scheme, and you can choose whether they render as solid or dashed to visually separate HTF structure from current time frame structure. The script can also place a label on the HTF CISD level, showing the selected HTF, for example “15 min HTF CISD,” and you can control the label background color, text color, size, and a horizontal offset so the label sits to the right of the current price rather than directly on top of the level.
The other key modification is the extension system for the current time frame CISD levels. The original script draws CISD levels from the origin candle to the detection candle, which is the “normal” behavior and is still preserved for all CISD levels. The enhancement allows you to choose how many of the most recent current time frame CISD levels you want to extend past the last candle by a defined number of bars. This is designed for traders who want their freshest decision levels projected into the future so they can be used as immediate references for reaction, acceptance, rejection, entries, or targets, without cluttering the chart by extending every single historical level. Because the extension uses the original line and simply moves the line’s end point to bar index plus your offset, it extends cleanly from the true starting point with no visual gap, and it automatically updates as new bars print. When a level is no longer within the most recent group, the script restores the original endpoint so older CISD lines revert back to normal and do not continue extending.
To use the indicator effectively, start by choosing whether you want it to be a current time frame decision tool, a higher time frame structure tool, or both. If you are trading lower time frames, enabling HTF CISD with confirmed only is usually the cleanest way to stay aligned with the dominant structure while avoiding levels that shift during an unclosed HTF candle. Then tune the swing period and noise filter to your market. If you are seeing too many levels in chop, increase the noise filter and consider a longer swing period so only larger structural transitions qualify. If you are missing important shifts, reduce the noise filter slightly so the script becomes more responsive. For execution, treat CISD levels like state change reference prices. When price returns to a bullish CISD level, look for acceptance above it to confirm continuation or rejection below it to warn of failure, and do the inverse for bearish levels. The liquidity sweep markers are especially useful as a context filter, because a CISD that occurs after a sweep often represents a more forceful transition where one side grabbed liquidity and then reversed state, which can create cleaner follow-through or stronger reaction zones.
Overall, this modified version keeps AlgoAlpha’s original CISD and liquidity framework intact, but adds the two things traders typically need when using a state change concept in live execution: the ability to overlay higher time frame CISD structure on a lower time frame chart, and the ability to project only the most relevant recent CISD levels into future bars so the levels are immediately actionable without turning the chart into a wall of extended lines.
Malaysian SnR Kai[DoN]
This indicator is a sophisticated trading tool based on Malaysian SnR (Support and Resistance) techniques. It is designed to identify high-probability reversal and continuation zones by filtering market noise and tracking the "life cycle" of a price level.
Here is a detailed explanation of its core features and logic:
1. SMA 21 "Quality Control" Filter
Unlike standard indicators that mark every pivot point, this script uses the 21-period Simple Moving Average (SMA) as a quality filter:
Resistance (A-Peaks): Only peaks that form above the SMA 21 are drawn.
Support (V-Bottoms): Only troughs that form below the SMA 21 are drawn.
The Logic: Sharp peaks/troughs that deviate from the moving average represent strong momentum and clear market rejection. These levels are much more likely to be respected by institutional traders.
2. Dynamic Role Reversal (RBS & SBR)
The indicator automatically tracks when a level's "role" changes, a concept central to Price Action trading:
RBS (Resistance Become Support): When a previously confirmed Resistance (A-Peak) is broken to the upside, it turns into a potential Support zone.
SBR (Support Become Resistance): When a confirmed Support (V-Bottom) is broken to the downside, it turns into a potential Resistance zone.
Auto-Delete (Invalidation): If price breaks through an RBS or SBR line again (violating the new role), the indicator instantly removes the line. This ensures your chart only shows levels that are currently valid.
3. Proximity Filter (Top 2 Closest)
To prevent "chart clutter," the script includes an intelligent filtering system for historical lines:
It calculates the distance between the current price and all active RBS/SBR lines.
It only displays the top 2 closest lines to the current price.
This keeps your focus on the levels that matter most for your next trade.
4. Higher Timeframe (HTF) Confluence
The indicator overlays SnR levels from a Higher Timeframe (e.g., Daily or 4H) onto your current chart:
These are displayed as dashed lines.
Trading Tip: When a Current Timeframe RBS/SBR level aligns with an HTF level, you have a "Confluence Zone," which significantly increases the win rate of a setup.
5. Advanced Visuals
Zones (Boxes): Instead of a thin line, the indicator draws a box (zone) that includes the price action near the peak/trough, acknowledging that SnR is an area, not a specific pip.
Labels at Origin: Labels (e.g., "V: 1.0850") are placed at the exact starting point of the level. This allows you to quickly see which specific historical move created the current level.
Future Extension: All active lines are extended into the future, providing a clear visual guide for where price might react next.
How to Use It in Your Strategy
Pullback Trading: Wait for the price to return to a cyan (Support) or orange (Resistance) zone. Look for rejection candles (pin bars, engulfing) within the box.
Role Reversal Entry: Watch for the price to retest an RBS (Resistance Become Support) line after a breakout. This is a classic "Buy the Dip" entry in an uptrend.
Confluence: The strongest signals occur when the price hits a Current TF line and an HTF dashed line at the same time.
Risk Management: If a line disappears from your chart, the "logic" for your trade has been invalidated. This can serve as a signal to close a position or move your stop loss.
Summary
This tool is built for traders who value clean charts and high-conviction levels. It automates the tedious work of drawing and deleting lines, allowing you to focus purely on price reaction at key decision points.
このインジケーターは、マレーシアスタイルのFX手法（特にSnRや役割転換を重視する手法）に基づいた、**「高勝率な反発・押し目ポイントを自動描画する」**ための非常に高度なツールです。
主な特徴は、SMA21によるフィルタリングと、役割転換（RBS/SBR）の自動管理にあります。
各機能の解説を以下にまとめました。
1. SMA21 フィルター（品質の選別）
ただの山や谷をすべて描画するのではなく、移動平均線（SMA21）を使って「意味のあるポイント」だけを抽出します。
Aライン（レジスタンス / 山）: 頂点がSMA21より上にある場合のみ描画。
Vライン（サポート / 谷）: 底がSMA21より下にある場合のみ描画。
理由: 移動平均線から乖離した位置にある「鋭い山・谷」は、市場参加者に意識されやすく、強い反発根拠になるためです。
2. ロールリバーサル（RBS/SBR）の自動管理
このインジケーターの最も強力な部分です。ラインが破られた後の「役割の交代」を追跡します。
RBS (Resistance Become Support):
元々「Aライン（山）」だったレジスタンスが、価格に上抜かれた後、今度は「サポート」として機能している状態。
SBR (Support Become Resistance):
元々「Vライン（谷）」だったサポートが、価格に下抜かれた後、今度は「レジスタンス」として機能している状態。
自動削除（再ブレイク判定）:
一度役割が転換したライン（RBS/SBR）でも、価格が再びそのラインを突き抜けた場合、そのラインは「無効」とみなして自動的に削除されます。これにより、常に「現在有効なライン」だけがチャートに残ります。
3. 近接フィルター（情報の整理）
チャートがラインだらけになるのを防ぐため、RBSとSBRの履歴ラインは**「現在値に近い順に最大2本まで」**しか表示されません。常に今すぐトレードに役立つラインに集中できます。
4. HTF（上位足）SnRの重ね合わせ
現在の足よりも上位（例：日足や4時間足）の重要なラインを点線で表示します。
下位足でのエントリーポイントが、上位足のラインと重なっていれば、それは非常に強力な「コンフラウンス（根拠の重なり）」となります。
5. ビジュアル（視覚的な工夫）
ゾーン表示（ボックス）: ライン単体ではなく、ヒゲを含めた「帯」として意識するためのボックスを描画します。
起点ラベル: ラベルをラインの発生源（起点）に表示することで、過去のどの山・谷から引かれたラインなのかが一目でわかります。
未来延長: リアルタイムでラインが右側に伸びるため、将来の反発予測がしやすくなっています。
トレードでの活用例
押し目買い/戻り売り:
SMA21フィルターを通った新鮮なA/Vライン、または現在表示されているRBS/SBRラインに価格が戻ってきたところを狙います。
根拠の重なり（合流）:
現在の足のRBSラインと、上位足（点線）のサポートラインが同じ価格帯にある場合、そこは非常に強い反発ポイントになります。
損切りの目安:
表示されているラインを価格が実体で明確に抜けると、インジケーターからそのラインが消えます。これは「根拠が崩れた」サインであり、損切りの判断材料になります。
まとめ
このインジケーターは、**「トレンドの中での目立った節目」を見つけ、それが「役割を変えてからも機能しているか」**を自動で監視してくれる、トレーダーの環境認識を大幅に短縮するツールです。
Volume-Range Anomaly Breakout [AlgoPoint]The Volume-Range Anomaly (VRA) Breakout system is a specialized trading tool designed to detect "Absorption" and "Hidden Institutional Activity" in the market. Unlike traditional trend indicators that lag behind price, this script focuses on the relationship between Effort (Volume) and Result (Price Range) to identify explosive moves before they happen.
1. The Underlying Logic (VRA Theory)
In a normal market environment, high volume should result in a large price range (a big candle). However, anomalies occur when:
- Volume is Extremely High (High Effort)
- Price Range is Extremely Low (Low Result)
What does this mean? This specific anomaly indicates that "Smart Money" or large institutions are absorbing liquidity using passive Limit Orders. They are aggressively buying or selling, but they are preventing the price from moving to accumulate a position without slippage. This is often called " Squat " behavior or " Absorption. "
When this compression phase ends, the price typically explodes (Breakout) in the direction of the dominant institutional pressure.
2. How It Works
The indicator operates in three distinct phases:
1. Detection Phase (The Anomaly):
- The script calculates Relative Volume (RVOL) and Relative Range (R-Range) over a user-defined lookback period.
- If Volume > Threshold AND Range < Threshold , the bar is identified as a " Whale Candle " and colored PURPLE. This signifies hidden activity.
2. Setup Phase (The Trap):
- Once a Purple Candle is detected, the script automatically draws dynamic Support (Green Dotted) and Resistance (Red Dotted) lines based on that candle's High and Low.
- These lines represent the "Battle Zone" where the absorption took place.
3. Execution Phase (The Breakout):
- The script waits for a confirmed candle CLOSE outside of this zone.
- BUY Signal : Price closes above the Whale Candle's High.
- SELL Signal : Price closes below the Whale Candle's Low.
3. How to Use
This is a complete breakout system.
Step 1: Wait for the Setup (Purple Bar)
When a purple bar appears, do not enter immediately. This is a warning that volatility is compressing.
Step 2: Wait for the Breakout (Signal)
Green Label: Enter a Long position when the price confirms a breakout above the resistance line.
Red Label: Enter a Short position when the price confirms a breakout below the support line.
Step 3: Risk Management (Stop Loss)
For Longs: The invalidation level (Stop Loss) is the Bottom of the Purple Candle (Green dotted line).
For Shorts: The invalidation level (Stop Loss) is the Top of the Purple Candle (Red dotted line).
4. Settings
- Lookback Period: The window used to calculate average volume and range (Default: 20).
- Volume Threshold: How many times higher than the average must the volume be? (Default: 1.5x).
- Range Compression: How compressed must the candle be relative to the average? (Default: 0.8x - meaning 80% of average size or smaller).
- Breakout Window: How many bars after the anomaly should the script wait for a breakout before canceling the setup? (Default: 5).
5. Alerts
The script includes 2 custom alert conditions for automation:
- Whale BUY Breakout: Triggers on a confirmed upside breakout.
- Whale SELL Breakout: Triggers on a confirmed downside breakout.
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.
Decycler Momentum Regime Filter ~ CharonQuantThe Decycler Momentum Regime Filter is a trend-following and momentum confirmation indicator built on John Ehlers’ Decycler filtering methods, combined with the Price Momentum Oscillator (PMO) for regime validation.
The original Decycler concept uses high-pass filtering techniques to suppress cyclical noise and isolate the underlying directional structure of price.
This version extends that foundation into a unified trend regime system designed for real trading conditions, not constant flipping in chop.
What’s different in this implementation:
• Ehlers Decycler trend backbone to smooth price action and reduce noise
• Momentum confirmation using PMO
• Zero-line regime filter to avoid weak or transitional environments
• Directional state engine that clearly defines bullish, bearish, or neutral trend regimes
• Clean visual context using adaptive trend coloring, bar bias, and background shading
Trend regimes are only confirmed when all conditions align:
• Decycler slope confirms directional trend persistence
• PMO is aligned with its signal line (momentum continuation)
• PMO is above or below zero (trend-strength regime validation)
• The CharonQuant state updates only when trend + momentum agree
If one condition fails, the system remains neutral or holds its previous state.
This design prioritizes signal quality over signal frequency.
Visual interpretation:
• Gold (CharonQuant = +1) → Confirmed Bullish Trend Regime
• Wine (CharonQuant = –1) → Confirmed Bearish Trend Regime
• Gray (Neutral) → No strong trend / transition zone
This makes the indicator especially useful as a trend bias filter for systematic swing and position trading.
Development and calibration notes:
This indicator was developed and calibrated on the 1D CRYPTO:SOLUSD chart.
Default parameters are optimized for SOL’s volatility structure and daily trend behavior.
You must tweak the settings to fit your asset, timeframe, and trading style.
If you do not read this description or do not understand what the indicator is designed to do, do not use it.
Indicators amplify both discipline and mistakes.
Important reminder: No single indicator is sufficient on its own.
This tool is a trend regime filter, not a complete trading system.
Scientific MACD Scientific MACD v5.1 — User Guide
An advanced momentum oscillator featuring eight scientifically-modeled moving average algorithms with adaptive signal generation and real-time calculation stability.
Overview
This indicator reimagines the traditional MACD through the lens of multiple scientific disciplines. Rather than relying on simple exponential moving averages, it offers eight distinct mathematical frameworks for calculating trend components—each derived from physics, biology, information theory, or behavioral science. The result is a highly adaptive momentum system that adjusts its sensitivity to market conditions through dynamic error-tracking and hybrid ensemble methods.
Core Architecture
Three-Component Structure
Like the classic MACD, this indicator maintains three essential elements:
Fast Line: Short-term trend component (default: 12 periods)
Slow Line: Long-term trend component (default: 26 periods)
Signal Line: Smoothed derivative of the MACD line (default: 9 periods)
Independent Algorithm Selection
Each component can use any of the eight available moving average types independently. This allows sophisticated combinations such as Wave fast + Entropy slow + Synaptic signal, creating multi-domain confirmation systems.
Scientific Moving Average Models
1. Wave Mechanics MA
A Fourier-inspired bandpass filter that decomposes price into harmonic components. Uses multiple sine wave harmonics (fundamental + overtones) centered around a mean price, with amplitude derived from period range. Higher harmonics receive decreasing weights. Ideal for identifying cyclical price structures and filtering noise through frequency domain analysis.
2. Thermodynamic Entropy MA
Applies information theory concepts to market returns. Calculates Shannon entropy across a 5-bin probability distribution of returns, then uses entropy ratio to adapt smoothing intensity. High entropy (disorder) increases smoothing; low entropy (trending) decreases smoothing. Adds small entropy-based adjustments to center the moving average.
3. Biological Synaptic MA
Implements Hebbian learning rules from neural biology. Maintains adaptive weights for recent price history that strengthen when current price movements correlate with past movements (associative learning). Weights decay exponentially with time and normalize between 0.5 and 2.0. Excels at capturing momentum persistence and regime changes.
4. Quantum Uncertainty MA
Models price as a quantum superposition of states with probabilistic amplitudes. Uses Gaussian distance functions to project current price onto historical basis states, then calculates expectation values. Incorporates decoherence (mixing with previous states) for stability. Naturally handles uncertainty and provides smooth transitions between trend states.
5. Fluid Dynamics MA
Treats price movement as fluid flow with Reynolds number classification. Calculates characteristic velocity, viscosity, and Reynolds number to determine flow regime. Laminar flow (low Re) uses diffusion-dominated smoothing; turbulent flow (high Re) uses advection-dominated smoothing. Includes stability clamps to prevent extreme deviations.
6. Network Cascade MA
Applies epidemiological SIR (Susceptible-Infected-Recovered) models to price trends. Models trend strength as infection rate spreading through market participants. Adaptive smoothing based on active infections (trend strength) with mean reversion as recovery increases. Beta parameter derived from return surprises relative to volatility.
7. Behavioral Economics MA
Incorporates Prospect Theory from psychology. Maintains an adaptation level (reference point) that updates slowly. Applies Tversky-Kahneman value functions with loss aversion (lambda = 2.25) and diminishing sensitivity (alpha = 0.88). Weights prices by psychological value rather than linear distance, emphasizing gains/losses relative to perceived anchors.
8. Hybrid Ensemble MA
Combines all seven models through inverse-error weighting. Tracks exponential moving average of prediction errors for each component model, then assigns weights inversely proportional to recent error. Automatically favors whichever scientific model best fits current market conditions. Displays real-time weight distribution table when enabled.
Signal Generation
Quality-Filtered Crossovers
Standard MACD crossovers are enhanced with statistical quality gates:
Bull Signal: MACD crosses above Signal while MACD is below zero and histogram exceeds 80th percentile of recent values
Bear Signal: MACD crosses below Signal while MACD is above zero and histogram below 20th percentile of recent values
High-Quality Signals
Additional filter requiring signal quality ratio (histogram magnitude divided by histogram volatility) to exceed 2.0. These appear as HQ↑ and HQ↓ markers, indicating statistically significant momentum shifts.
Visualization Features
Dynamic Color Coding
MACD Line: Lime/olive when above signal (bullish), red/maroon when below (bearish)
Histogram: Intensity varies with signal quality—brighter colors indicate stronger statistical significance
Signal Line: Orange for clear differentiation
Zero Line: Dashed gray reference
Volatility Zone: Gray fill between ±1 standard deviation of MACD values
Hybrid Weight Display
When Hybrid MA is selected and Show Hybrid Weights is enabled, a real-time table displays current ensemble weightings for all seven component models as percentages. Updates dynamically as market conditions favor different scientific approaches.
Key Input Parameters
Core Settings
Fast Length: Short-term lookback (2-200, default 12)
Slow Length: Long-term lookback (3-500, default 26)
Signal Length: Smoothing period for signal line (2-100, default 9)
Scientific Parameters
ZigZag Detection Depth: Influences cyclicality measures in Wave and Fluid models (3-20, default 5)
Real-Time Calculation Fix: Blends calculated values with current price during unconfirmed bars to prevent repainting artifacts
MA Configuration
Independent algorithm selection for Fast, Slow, and Signal components. Options: Wave, Entropy, Synaptic, Quantum, Fluid, Cascade, Behavioral, Hybrid.
Display Settings
Toggle for Hybrid weight table visibility.
Operational Workflow
Select appropriate lengths for your timeframe and trading style
Choose MA algorithms based on market characteristics:
Trending markets: Synaptic, Cascade, or Behavioral
Cyclical/ranging markets: Wave or Quantum
High volatility: Entropy or Fluid
Unknown regime: Hybrid (adaptive ensemble)
Enable Real-Time Calculation Fix for live trading to prevent repainting
Monitor standard crossovers for entry signals
Prioritize HQ (High Quality) signals for lower-risk entries
Use histogram color intensity to gauge signal strength
When using Hybrid, monitor weight table to understand which models are currently dominant
Best Practices
Use longer lengths (20-50-10) for swing trading, standard (12-26-9) for day trading
Combine complementary algorithms: fast Wave + slow Entropy captures cycles within noise-filtered trends
Enable Hybrid during regime uncertainty—it automatically selects optimal models
Disable Real-Time Calculation Fix for historical analysis, enable for live signals
Watch for divergence between MACD and price while monitoring histogram quality for confirmation
Volatility zone fill helps identify when MACD moves reach statistical extremes
This indicator provides mathematically sophisticated trend analysis. Algorithm selection significantly impacts signal characteristics—experiment with combinations to find optimal fit for your market and timeframe.
CSO FSVZO V104 - BOX & PRICESDescription
Overview
The Apex Adaptive Trend Engine is a high-precision trend-following strategy designed for traders who value clean visual confirmation and strict entry criteria. Built on a Zero-Lag EMA foundation, this system specializes in capturing explosive trend movements while filtering out market noise through a proprietary multi-condition validation process.
Core Logic: How it Works
The strategy utilizes a Volatility-Adjusted Envelope system. Unlike standard moving averages, our engine calculates a "Trend Anker" that adapts to market volatility in real-time.
Trend Identification: Entry signals are generated only when price action breaks out of the dynamic bands with confirmed momentum.
The Apex Filter: To ensure high-quality entries, the system checks for a "Reversal Lock." If a trade hits a Stop Loss, the strategy will not "Double-Dip" into the same direction until a full trend reversal is confirmed, preventing "revenge trading" in a choppy market.
Dynamic Volume Confirmation: (If active) Signals are validated by a Z-Score Volume analysis. This ensures you only enter when there is actual "fuel" (liquidity) behind the move.
Visual Trade Management (Box Tech)
One of the standout features of V104 is the Live Risk Visualization.
Auto-Projections: The moment a signal triggers, the script projects a Green (TP) and Red (SL) box directly onto the chart.
Clean Labeling: Price targets are offset to the right of the current bar to ensure your price action remains clear and readable.
Real-Time Scaling: Boxes expand dynamically as the trade progresses, giving you a professional-grade dashboard for your active positions.
Key Features
MTF Synchronization: Optionally filters entries based on a higher timeframe (e.g., 60m trend) to ensure you are never trading against the "Big Picture".
Zero-Lag Calculation: Optimized EMA lengths (14) provide a perfect balance between speed and reliability.
Pro-Grade Alerts: Specifically defined alerts for BUY and SELL scenarios, making it 100% compatible with automated trading bots and webhooks.
Recommended Timeframes & Assets
Timeframes: Optimized for 15m, 30m, and 1H.
Assets: High liquidity instruments (BTC, ETH, Major Forex Pairs, and Tech Stocks).
How to Use
Wait for a Box: When the Trend Envelopes change color, a Buy/Sell signal will trigger.
Confirm Volume: Ensure the background highlights (optional) show a volume surge.
Follow the Levels: Use the projected Green/Red boxes for your exit management.
Disclaimer
Trading involves significant risk. This strategy is for educational and informational purposes. Always perform your own backtests and practice proper risk management.
