Multi-Mode Adaptive Strategy [MMAS]This Pine Script strategy dynamically adapts to different market conditions. Users can switch between trend‑following, mean‑reversion, and breakout modes, making it versatile across assets and timeframes.
Key Metrics:
- BTCUSDT / 1D → Return: +42.5%, Sharpe: 1.8, Max Drawdown: -12.3%, Win Rate: 61%
- XAGUSD / 1H → Return: +18.7%, Sharpe: 1.4, Max Drawdown: -8.5%, Win Rate: 58%
- EURUSD / 4H → Return: +25.2%, Sharpe: 1.6, Max Drawdown: -10.1%, Win Rate: 60%
Key Features:
- Modular design: switch between trend, mean‑reversion, breakout
- Works across crypto, forex, commodities
- Clear visualization with signals and metrics
• Global Note
"Universal strategy design for cross‑asset adaptability."
• Tags
trend, mean‑reversion, breakout, multi‑asset, adaptive strategy, pine script
ניתוח מגמה
FX-CLINIC MARKET STRUCTUREThis indicator help the treaders by SMC/ICt to mark the structure MSS/BOS automatically, and you can choose the length of the structure as 5 for fractal, 10 for internal and 15 for external
use it free
note: check your information and correct the structure as you know,
it is first edition and go to upgrade and correct
feel free to sent any note in telegram
privet: @DRALIAWWAD
and the public channel: @ictdrawwad
VWAP roller autoBrief Description
VWAP Roller Auto is a TradingView Pine Script indicator that combines a rolling (resetting) Volume Weighted Average Price (VWAP) with dozens of dynamic support/resistance levels derived from Gann's Square of 9 principles. The VWAP resets periodically (automatically or manually) starting from a user-defined session open time, and the Gann levels "roll" with it, creating an adaptive grid of potential price reaction zones. It's designed for intraday trading and overlays directly on the price chart.
Key Features
Rolling VWAP with Custom Session Start
VWAP calculation restarts at configurable session open (default 8:30 CST, using proper Chicago timezone handling).
Auto-Adaptive Period Selection
Automatically chooses the VWAP reset period (from 2 min up to 48 hours) based on current volatility (ATR + realized range). Targets a user-defined spacing (~0.08% by default) between consecutive VWAPs to keep the grid relevant to market conditions. Falls back to manual period if disabled.
Gann Square of 9 Levels
Generates ~8 pairs of resistance (R) and support (S) levels above/below the current rolling VWAP using octave-based increments.
Two increment modes:
Points mode — fixed point steps that double octavely (e.g., 0.305, 0.610, 1.22, 2.44, etc.).
Percent mode — percentage steps scaled so the middle octave aligns near 0.025% for finer resolution on lower-priced assets.
Visual Enhancements
Colored fills between key level groups (e.g., inner ±0.25 octave in blue, ±1–2 octave zones in gray, higher extremes in yellow/red).
Labels on the right side marking important zones ("low", "normal", "high", "3/4 - ps1", "extreme - ps2").
Central VWAP line (customizable color and offset).
Table showing current period length and whether auto mode is active.
Non-Timeframe Friendly
Works on range bars, Renko, etc., using fallback settings when timeframe is non-standard.
Use Cases
Intraday Support/Resistance Trading
Treat the rolling VWAP as fair value and use the Gann-derived levels as dynamic zones for potential reversals, breakouts, or mean reversion.
Scalping and Day Trading
Auto-period ensures the grid spacing matches current volatility — tighter levels in quiet markets, wider in volatile ones — ideal for futures (ES, NQ), crypto, or forex.
Zone-Based Entries/Exits Buy near labeled support zones (e.g., "low" or "normal" volatility bottoms) when price trades below VWAP.
Sell/short near resistance zones in overbought conditions.
Watch for hits of "extreme" zones (±8 octave) as potential strong reversal signals.
Confluence Tool
Combine with order flow, volume profile, or other indicators; the colored fills highlight "value areas" similar to market profile concepts but anchored to a rolling VWAP.
In short, VWAP Roller Auto provides a sophisticated, self-adjusting Gann-inspired grid that moves with the market's fair value, helping traders identify high-probability reaction zones throughout the trading session.
Nested MA Envelopes HarmonicThe Nested MA Envelopes Harmonic is a custom TradingView Pine Script indicator that overlays a series of nested envelopes around exponentially increasing simple moving averages (SMAs). These SMAs use lengths that double successively (e.g., 25, 50, 100, 200, up to 3200, starting from a user-defined power-of-2 base). Each envelope is offset by deviations that follow a harmonic/octave structure (multipliers of ×1, ×2, ×4, ×8, ×16, ×32, ×64, ×128).The deviation can be set in fixed points or as a true percentage of price, with an optional auto-calibration mode that dynamically adjusts the multiplier based on historical price behavior and ATR to target a specified percentage of bars staying within the innermost envelope. The envelopes feature customizable colors, shaded zones between levels, touch counters, cycle number labels on band touches (with cooldown), and optional centering.This creates a visually layered "harmonic" channel system resembling octave bands, helping identify multi-scale support/resistance zones.
Use CaseTraders use this indicator to visualize price action across multiple time scales simultaneously, treating the nested bands as harmonic levels of volatility or mean reversion zones. Inner envelopes (levels 1–3) capture short-term fluctuations and potential overbought/oversold conditions.
Outer envelopes (levels 6–8) act as major support/resistance during strong trends or reversals.
The cycle labels mark significant touches of higher-level bands (e.g., a "7" or "8" label signals rare extreme extensions, often preceding reversals). It suits mean-reversion strategies (buy near lower bands, sell near upper), trend confirmation (price hugging mid-levels), or breakout alerts when price pierces outer zones. The auto mode adapts to changing volatility, making it versatile for stocks, forex, crypto, or futures on various timeframes.
Personal use - set on your favorite instrument and set to auto mode. Make note of the level picked in bottom right corner. Then switch to manual mode and use the same multiplier that auto used to get you in the right sizing ballpark. The goal is to capture 95% of pricing within the smallest envelope. The what you will see is you can quantify various tops and bottoms. A 1st order (hitting the top/bottom of the smallest envelope) hit is not as important as a 2nd or 3rd order hit. Generally 1st order is informational and 2-5 is actionable. 6-8 would be a unicorn and you should act accordingly. You can use points or % for the spacing.
Quantum Flow [JOAT]Quantum Flow Nexus - Advanced Multi-Dimensional Flow Analysis
Overview
Quantum Flow Nexus is an open-source overlay indicator that combines custom EMA-based flow calculations with order flow analysis, multi-timeframe correlation, and liquidity zone detection. It provides traders with a structured framework for analyzing market momentum and identifying potential entry points based on multiple confirming factors.
What This Indicator Does
The indicator calculates several analytical components:
Quantum Flow Oscillator - A custom oscillator built from multiple EMA layers at different depths
Flow Momentum - Rate of change of the flow oscillator
Order Flow Delta - Buy vs sell volume pressure estimation
Smart Money Index - Volume-weighted directional bias metric
Multi-Timeframe Entanglement - Price correlation across 15m and 60m timeframes
Liquidity Zones - Historical swing high/low levels with volume significance
Wave Function State - Momentum-based decisiveness detection
How It Works
The core quantum oscillator uses a custom EMA calculation with depth layering:
quantumOscillator(series float src, simple int len, simple int depth) =>
float osc = 0.0
for i = 1 to depth
int fastLen = len / i
int slowLen = len * i
float emaFast = quantumEMA(src, fastLen)
float emaSlow = quantumEMA(src, slowLen)
osc += (emaFast - emaSlow) / depth
osc
This creates a multi-layered view of momentum by comparing EMAs at progressively different speeds.
Signal Generation
Basic signals occur when:
Bullish: Flow crosses above lower band + positive momentum + positive order flow delta
Bearish: Flow crosses below upper band + negative momentum + negative order flow delta
Strong signals require additional confirmation:
Smart Money Index above/below threshold (50/-50)
Entanglement score above 50%
Wave function in collapsed state (decisive momentum)
Confluence Score Calculation
The indicator combines multiple factors into a single confluence percentage:
float confluenceScore = (flowStrength * 20 + entanglementScore * 0.3 + math.abs(orderFlowDelta) * 0.5) / 3
Dashboard Panel (Top-Right)
Flow Strength - Distance from center line normalized by standard deviation
Momentum - Current rate of change of flow
Trend - BULLISH/BEARISH/NEUTRAL based on flow vs EMA
Confluence Score - Combined factor percentage
Order Flow Delta - Buy/sell pressure percentage
Entanglement - Multi-timeframe correlation score
Wave State - COLLAPSED or SUPERPOSITION
Signal - Current actionable status
Visual Elements
Flow Lines - Center flow line with upper/lower bands
Quantum Zones - Filled areas between bands showing bullish/bearish zones
3D Quantum Field - Five oscillating layers creating depth visualization
Order Flow Blocks - Boxes highlighting significant order flow imbalances
Liquidity Heatmap - Dashed lines at significant historical levels
Signal Markers - Triangles for basic signals, labels for strong signals
Input Parameters
Flow Period (default: 21) - Base period for flow calculations
Quantum Depth (default: 3) - Number of EMA layers
Sensitivity (default: 1.5) - Band width multiplier
Liquidity Max Levels (default: 8) - Maximum liquidity zones displayed
Liquidity Min Strength Ratio (default: 0.10) - Minimum volume significance
Suggested Use Cases
Identify momentum direction using flow oscillator position
Confirm entries with order flow and smart money readings
Use liquidity zones as potential support/resistance areas
Wait for strong signals with multiple factor confirmation
Timeframe Recommendations
Effective on 15m to Daily charts. Lower timeframes may produce more signals with higher noise levels.
Limitations
Order flow is estimated from candle structure, not actual order book data
Multi-timeframe requests add processing time
Liquidity zones are based on historical pivots and may not reflect current market structure
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always use proper risk management.
- Made with passion by officialjackofalltrades
SAR Volume ScalperSAR Volume Scalper is a minimalist intraday scalping indicator designed for 1–2 minute charts, optimized for high-liquidity markets such as NASDAQ (NQ) and Gold (GC).
The indicator combines Parabolic SAR price crossings with a neutral volume participation filter (Volume ≥ EMA(Volume)), ensuring that signals appear only when the market is active, without relying on rare or aggressive volume spikes.
🔑 Core Logic
Parabolic SAR identifies precise micro-trend shifts
Trend EMA filters directional bias and reduces counter-trend trades
Neutral volume filter confirms market participation while preserving signal frequency
ATR-based targets adapt automatically to current volatility
🎯 Designed For
High-frequency scalping on 1–2 minute timeframes
Manual trade execution during active market sessions
Traders who prefer price and flow confirmation over heavy indicator stacking
⚠️ Disclaimer
This indicator is a decision-support tool and should not be used as standalone trading advice.
It is not intended for fully automated trading.
MA Alignment DetectorMA Alignment Detector : If it is bullish MA alignment, the color becomes red, if it is bearlish MA alignment, the color become green.
ETH 1-2-3 Rigor Strategy Entry & 2:1 Risk-Rewar- By: Labaxuria Descrição em Inglês (Copy & Paste):
This script is a technical analysis tool designed specifically for ETH/USDT on Daily (1D) and Weekly (1W) timeframes. It identifies the classic 1-2-3 reversal pattern to provide high-probability entry points with a strictly disciplined risk management approach.
Core Features:
C3 Trigger Identification: The indicator highlights the "Candle 3" (Confirmation Candle) where the breakout of "Point 2" occurs, validating the market structure shift.
Automated 2:1 Risk-Reward: Upon a BUY or SELL signal, the script automatically plots a Red Line (Stop Loss) at the recent pivot and a Green Line (Take Profit) at a fixed 2:1 ratio. This ensures that every win is twice the size of a potential loss.
Trend Filtering (Gray Line): It includes a 20-period Moving Average to ensure trades are aligned with the prevailing market momentum.
Compression Detection (White Candles): Identifies "Inside Bars" by coloring the candle body or borders white. This warns the trader of price compression and potential volatility buildup before a breakout.
How to Use:
BUY + C3: Enter long when the price closes above Point 2, ideally while trading above the gray 20-SMA.
SELL + C3: Enter short when the price closes below Point 2, ideally while trading below the gray 20-SMA.
Exit Strategy: Follow the plotted levels strictly. Exit at the red line to protect capital or at the green line to book profits.
Hookes Kinetics | IkkeOmarHooke's Kinetics: A Physics-Based Volatility System
This indicator applies the principles of Hooke's Law to financial time series data to model market volatility as a system of potential and kinetic energy.
Theoretical Foundation: Hooke's Law In physics, Hooke's Law states that the force (F) needed to extend or compress a spring by some distance (x) scales linearly with respect to that distance: F = -kx, where k is the spring constant.
Potential Energy (PE): PE = 0.5 * k * x^2 Kinetic Energy (KE): Energy possessed due to motion.
In this system, we treat Price Action as a spring. Compression (Potential Energy): When price consolidates, volatility compresses. The "spring" is being wound up. Energy is accumulated, not released. Release (Kinetic Energy): When price breaks out of compression, potential energy transforms into kinetic energy. The spring snaps back, driving price motion.
Indicator Mechanics The Hooke's Kinetics oscillator visualizes this energy transfer cycle to identify trend origins and exhaustion points.
Accumulating Energy (Potential): The Blue Area represents the buildup of Potential Energy. This occurs during periods of low volatility (consolidation). The algorithm detects when price variance drops below a threshold (representing spring compression) and aggregates this "stored force" over time. As long as the price remains compressed, the Blue potential energy grows.
Energy Conversion (Kinetic Release): The Red Histogram represents Kinetic Energy. When volatility expands significantly (a breakout), the system triggers a release event. The accumulated Blue potential energy is discharged and converted into the Red kinetic spike. This marks the moment the "spring" is released.
Trend Direction & Decay: Once the Kinetic Energy (Red spike) appears, the "explosive" phase is active. As the Red histogram decays (lowers back to zero), the market enters a coasting phase. The trend direction is established by the price movement during the initial Kinetic release. Traders observe the price vector as the Red energy dissipates to confirm the prevailing trend.
Reversion Signals (Bonus): Extreme peaks in Kinetic Energy (exceptionally high Red spikes) indicate a maximum extension of the spring. Just as a physical spring oscillates, extreme kinetic release often precedes a mean reversion. If price action opposes the direction of the Kinetic decay, it signals a likely reversal.
Visual Reference Referencing the chart above: Blue Ramp: Note the linear buildup of the blue area during sideways price action. This is the "loading" phase. Red Spike: Note the immediate drop in Blue and spike in Red coinciding with the green highlight circles on the chart. These are the breakout points. Green Circles: These highlight the specific candles where Potential converted to Kinetic, marking the optimal entry or decision points.
Code Description
The system defines market state using a composite variable "k" (Stiffness), which combines Price Volatility (NATR) and Relative Volume (RVOL).
k_price = range_natr != 0 ? 1.0 - ((natr - lowest_natr) / range_natr) : 0 k = (k_price * price_weight) + (k_vol * vol_weight) Here, we normalize volatility relative to a historical lookback. High values of "k" indicate high compression—this is the "winding" of the spring.
if is_compressed potential_energy := potential_energy + k kinetic_energy := kinetic_energy * DECAY_RATE When the market is tighter than the user-defined "stiff_thresh", the system accumulates Potential Energy. Note that Kinetic Energy actively decays during this phase, simulating friction or inertia slowing down price movement.
else drain_factor = (1.0 - k) transfer = potential_energy * drain_factor potential_energy := potential_energy - transfer kinetic_energy := (kinetic_energy * DECAY_RATE) + (transfer * ENERGY_MULT) This acts as the conservation of energy. We do not reset Potential to zero instantly; we drain it. The "drain_factor" ensures that a violent expansion (low k) drains potential energy faster than a mild move. This transferred energy is scaled up and added to the Kinetic state.
Note - AMPLITUDE MATTERS!
Observe the amplitude of the Kinetic Energy - higher peaks are more significant. Lower values are usually artifacts, but they can indicate mean reversion on a smaller scale while price remains within a range.
Trend Strength Matrix [JOAT]Trend Strength Matrix — Multi-Timeframe Confluence Analysis System
This indicator addresses a specific analytical challenge: how to efficiently compare multiple technical measurements across different timeframes while accounting for their varying scales and interpretations. Rather than managing separate indicator windows with different scales, this tool normalizes four distinct analytical approaches to a common -1 to +1 scale and presents them in a unified matrix format.
Why This Combination Adds Value
The core problem this indicator solves is analytical fragmentation. Traders often use multiple indicators but struggle with:
1. **Scale Inconsistency**: RSI ranges 0-100, MACD has no fixed range, ADX ranges 0-100 but measures strength not direction
2. **Timeframe Coordination**: Checking multiple timeframes requires switching between charts or cramming multiple indicators
3. **Cognitive Load**: Processing different indicator types simultaneously creates mental overhead
4. **Confluence Assessment**: Determining when multiple approaches agree requires manual comparison
This indicator specifically addresses these issues by creating a standardized analytical framework where different measurement approaches can be directly compared both within and across timeframes.
Originality and Technical Innovation
While the individual components (RSI, MACD, ADX, Moving Average) are standard, the originality lies in:
1. **Unified Normalization System**: Each component is mathematically transformed to a -1 to +1 scale using component-specific normalization that preserves the indicator's core characteristics
2. **Multi-Timeframe Weighting Algorithm**: Higher timeframes receive proportionally more weight (40% current, 25% next, 20% third, 15% fourth) based on the principle that longer timeframes provide more significant context
3. **Real-Time Confluence Scoring**: The composite calculation provides an instant assessment of how much the different analytical approaches agree
4. **Adaptive Visual Encoding**: The heatmap format allows immediate pattern recognition of agreement/disagreement across both indicators and timeframes
How the Components Work Together
Each component measures a different aspect of market behavior, and their combination provides a more complete analytical picture:
**Momentum Component (RSI-based)**: Measures the velocity of price changes by comparing average gains to losses
**Trend Component (MACD-based)**: Measures the relationship between fast and slow moving averages, indicating trend acceleration/deceleration
**Strength Component (ADX-based)**: Measures trend strength regardless of direction, then applies directional bias
**Position Component (MA-based)**: Measures price position relative to a reference average
The mathematical relationship between these components creates a comprehensive view:
- When all four agree (similar colors), it suggests multiple analytical approaches are aligned
- When they disagree (mixed colors), it highlights analytical uncertainty or transition periods
- The composite score quantifies the degree of agreement numerically
Detailed Component Analysis
**1. Momentum Oscillator Component**
This component transforms RSI into a centered oscillator by subtracting 50 and dividing by 50, creating a -1 to +1 range where 0 represents equilibrium between buying and selling pressure.
// Momentum calculation normalized to -1 to +1 scale
float rsi = ta.rsi(close, rsiLength)
float rsiScore = (rsi - 50) / 50
// Result: 0 at equilibrium, +1 at extreme overbought, -1 at extreme oversold
**2. Moving Average Convergence Component**
MACD is normalized by its own volatility (standard deviation) to create a bounded oscillator. This prevents the unbounded nature of MACD from dominating the composite calculation.
// MACD normalized by its historical volatility
= ta.macd(close, macdFast, macdSlow, macdSignal)
float macdStdev = ta.stdev(macdLine, 100)
float macdScore = macdStdev != 0 ? math.max(-1, math.min(1, macdLine / (macdStdev * 2))) : 0
**3. Directional Movement Component**
This combines ADX (strength) with directional movement (+DI vs -DI) to create a directional strength measurement. ADX alone shows strength but not direction; this component adds directional context.
// ADX-based directional strength
= calcADX(adxLength)
float adxStrength = math.min(adx / 50, 1) // Normalize ADX to 0-1
float adxDirection = plusDI > minusDI ? 1 : -1 // Direction bias
float adxScore = adxStrength * adxDirection // Combine strength and direction
**4. Price Position Component**
This measures price deviation from a moving average, weighted by the magnitude of deviation to distinguish between minor and significant displacements.
// Price position relative to moving average
float ma = ta.sma(close, maLength)
float maDirection = close > ma ? 1 : -1
float maDeviation = math.abs(close - ma) / ma * 10 // Percentage deviation scaled
float maScore = math.max(-1, math.min(1, maDirection * math.min(maDeviation, 1)))
Multi-Timeframe Integration Logic
The multi-timeframe system uses a weighted average that gives more influence to higher timeframes:
// Timeframe weighting system
float currentTF = composite * 0.40 // Current timeframe: 40%
float higherTF1 = composite_tf2 * 0.25 // Next higher: 25%
float higherTF2 = composite_tf3 * 0.20 // Third higher: 20%
float higherTF3 = composite_tf4 * 0.15 // Fourth higher: 15%
float multiTFComposite = currentTF + higherTF1 + higherTF2 + higherTF3
This weighting reflects the principle that higher timeframes provide more significant context for market direction, while lower timeframes provide timing precision.
What the Dashboard Shows
The heatmap displays a grid where:
Each row represents a timeframe
Each column shows one component's normalized reading
Colors indicate the value: green shades for positive, red shades for negative, gray for neutral
The rightmost column shows the composite average for that timeframe
Visual Elements
Moving Average Line — A simple moving average plotted on the price chart
Background Tint — Subtle coloring based on the composite score
Shift Labels — Markers when the composite crosses threshold values
Dashboard Table — The main heatmap display
Inputs
Calculation Parameters:
Momentum Length (default: 14)
MACD Fast/Slow/Signal (default: 12/26/9)
Directional Movement Length (default: 14)
Moving Average Length (default: 50)
Timeframe Settings:
Enable/disable multi-timeframe analysis
Select additional timeframes to display
How to Read the Display
Similar colors across a row indicate the components are showing similar readings
Mixed colors indicate the components are showing different readings
The composite percentage shows the average of all four components
Alerts
Composite crossed above/below threshold values
Strong readings (above 50% or below -50%)
Important Limitations and Realistic Expectations
This indicator displays current analytical conditions—it does not predict future price movements
Agreement between components indicates current analytical alignment, not future price direction
All four components are based on historical price data and inherently lag price action
Market conditions can change rapidly, making current readings irrelevant
Different parameter settings will produce different readings and interpretations
No combination of technical indicators can reliably predict future market behavior
Strong readings in one direction do not guarantee continued movement in that direction
The composite score reflects mathematical relationships, not market fundamentals or sentiment
This tool should be used as one input among many in a comprehensive analytical approach
Appropriate Use Cases
This indicator is designed for:
- Analytical organization and efficiency
- Multi-timeframe confluence assessment
- Pattern recognition in indicator relationships
- Educational study of how different analytical approaches relate
- Supplementary analysis alongside other methods
This indicator is NOT designed for:
- Standalone trading signals
- Guaranteed profit generation
- Market timing precision
- Replacement of fundamental analysis
- Automated trading systems
— Made with passion by officialjackofalltrades
Mag 7 EMA Trend MonitorDashboard Layout:
1. Symbol Column: The Mag 7 tickers.
2. Trend Column: Visual Bull/Bear status.
3. Strength Column: Percentage distance from the mean (EMA 21).
4. Aggregate Row: Summary of market breadth and average sector pull/push.
How to Interpret the Trend Strength:
• Positive %: The stock is trading above its 21 EMA. A very high number (e.g., $+15\%$) might suggest the stock is "overbought" or overextended.
• Negative %: The stock is trading below its 21 EMA. A very low number (e.g., $-10\%$) might suggest it is "oversold."
• Avg Strength: This gives you a bird's-eye view of the sector. If the aggregate is "5 Up / 2 Down" but the Avg Strength is only $+0.5\%$, the trend is weak and might be exhausting.
"Pro-tips" for tool:
• Multi-Timeframe Correlation: Try setting the Dashboard Timeframe to "D" (Daily) while trading on a "5m" or "15m" chart. This allows you to see if your intraday trade is aligned with the "Big Money" trend of the week.
• The 4/7 Rule: Watch for that Aggregate row to hit 4 out of 7. In the Mag 7, since these stocks carry so much weight in the SPY and QQQ, a shift to a majority (4+) often precedes a move in the overall market indices.
KAMA Oscillator | IkkeOmarThis script transforms the Kaufman Adaptive Moving Average (KAMA) into an oscillator format, designed to visualize trend direction with reduced noise sensitivity. It operates in two modes: a Raw mode that tracks price levels directly, and a Normalized mode that bounds the oscillator between -1 and +1 for easier comparison across assets.
The calculations are the same as for the Normalized KAMA Oscillator, but I added a few features that users of the old version wouldn't necessarily want.
How it works
Efficiency Ratio (ER): The script calculates the "efficiency" of price movement by comparing the net direction of price to the total volatility over a set period.
Adaptive Smoothing:
When volatility is high but direction is unclear (choppy), the KAMA slows down to filter noise.
When price trends clearly, the KAMA speeds up to track the move.
Normalization (Optional): If enabled, the script takes the raw KAMA value and scales it relative to its highest and lowest points over the Normalization lookback period. The result oscillates between -1 (extreme low) and +1 (extreme high).
The SMA Signal Logic
The script allows you to overlay an SMA (Simple Moving Average) on the oscillator. This serves as a dynamic baseline for the oscillator's momentum.
Signal Generation: A signal is generated when the KAMA Oscillator crosses its SMA.
Bullish: Oscillator crosses above the SMA.
Bearish: Oscillator crosses below the SMA.
Lag vs. Noise Trade-off:
Advantage (Reduced Lag): Crossing the SMA often triggers a signal earlier than waiting for the oscillator to change color (slope change) or cross the zero line. It identifies when immediate momentum is outperforming the recent average.
Risk (Increased Noise): During consolidation, the oscillator will hover close to the SMA line. This increases the probability of "whipsaws" (false signals) where the line crosses back and forth rapidly without a sustained trend. This signal is aggressive and should be used with trend filters.
LR Candles V2.1IMPORTANT: Use this strategy only with Heikin Ashi candles; otherwise, the results will be negative.
The use of this strategy is solely and exclusively under the responsibility of the operator.
To perform testing correctly and as close to market reality as possible, we suggest setting the strategy preferences as follows:
Slippage = 3
Using bar magnifico = Enabled
Commission = Completed
Detail: It is important to include at least 1,000 trades in the test. This provides a certain robustness in the historical analysis of a strategy. Values lower than this may alter the expected results when trading in real life.
Tip:
Play around with different time frames and calibrations on the strategic indicator. Examples include unchecking Ling-Reg, unchecking EMA, or using both in combination. Look for the best probability and results for a specific asset.
The strategy usually performs well on time frames longer than 1 hour; this is what has been observed.
Order Blocks & Breaker BlocksOrder Blocks & Breaker Blocks
Enhance your trading with this advanced indicator that highlights Bullish and Bearish Order Blocks (OBs) and Breaker Blocks on any chart. It is designed to help traders quickly identify key supply and demand zones and potential reversal points with clear visual cues.
Key Features
Automatically highlights Bullish and Bearish OBs.
Detects Breaker Blocks when OB levels are violated, signaling potential trend shifts.
Fully customizable visuals:
Box and Breaker Box transparency
Line transparency, width, and style (Solid, Dashed, Dotted)
Option to calculate OBs using candle body or high/low.
Adjustable number of recent OBs displayed.
Recommended Settings by Timeframe
Timeframe Swing Lookback Show OBs Notes
5 min 10 3 For fast intraday trading and scalping.
15 min 12 3 For intraday trend analysis
1H 15 3 Ideal for intraday support/resistance and breakout detection.
4H 22 3 Captures stronger OBs for swing trades.
Daily 22 3 Highlights major supply and demand zones for trend trading.
Weekly 30 2 Focuses on long-term OBs for strategic analysis.
These values provide a good balance of accuracy and chart clarity across all timeframes.
Why Use This Indicator
Quickly visualize key supply and demand zones.
Identify potential reversals and breakout points.
Improve trade timing and risk management with enhanced visual clarity.
Works across all major timeframes, making it suitable for intraday, swing, and long-term traders.
CPR PROCPR Pro - Central Pivot Range Indicator
A complete CPR trading toolkit with multi-timeframe support.
█ FEATURES
- CPR Zone (TC, BC, PP) - Daily, Weekly, or Monthly
- Support & Resistance Levels (S1-S3, R1-R3)
- Virgin CPR Detection - Highlights untested CPR zones (yellow)
- CPR Width Analysis - Narrow (breakout) vs Wide (range) days
- VWAP with 10 anchor options
- Trend EMA
- Dashboard with real-time bias & levels
- Customizable colors per timeframe
█ HOW TO USE
- BULLISH: Price above CPR - look for longs
- BEARISH: Price below CPR - look for shorts
- VIRGIN CPR: Untested zones = strong magnets
- NARROW CPR: Expect breakout day
- WIDE CPR: Expect range day
█ COLORS
- Daily CPR: Blue
- Weekly CPR: Green
- Monthly CPR: Orange
- Virgin CPR: Yellow
RS Rating (1-99)RS Rating
This indicator implements a Relative Strength (RS) rating for TradingView and is designed specifically to be used with the Pine Screener.
Concept
Relative Strength is calculated using weighted price performance over multiple time windows (approximately 3, 6, 9, and 12 months).
More recent performance is weighted more heavily, following well-established relative strength methodologies.
The resulting raw RS score is then compressed into a 1–99 scale, creating an intuitive and stable ranking metric.
Because TradingView scripts cannot rank a stock against the entire market universe, this indicator uses a behavioral proxy: the current RS score is mapped against its own historical distribution.
This produces RS values that behave similarly to widely used RS ratings, but it is not a true cross-sectional percentile rank.
IPO handling
RS Rating is not displayed until sufficient price history exists (default: ~9 months / 189 bars).
This avoids distorted RS values for newly listed stocks. IPOs are better evaluated using separate momentum, volume, or structure-based tools until they mature.
Interpretation (rule of thumb)
- RS ≥ 80 → strong relative performance
- RS ≥ 90 → leader
- RS ≥ 95 → very selective / top-tier
- RS Rating is best used as a ranking and confirmation tool, not as an entry signal.
Using RS Rating with TradingView Pine Screener
This indicator is designed to work directly with the TradingView Pine Screener (beta).
Setup
- Add the indicator to a chart
- Open Pine Screener
- Select this script as a filter source
- Use the plotted RS Rating (1–99) value for sorting or filtering
The screener reads the single plotted RS value and treats it as a sortable numeric column.
Typical screening workflows
Leader scan
Filter: RS Rating ≥ 90
Sort: Descending by RS Rating
Identifies stocks with sustained relative outperformance.
Broad strength scan
Filter: RS Rating ≥ 80
Useful for identifying emerging leaders or strong secondary names.
Top-of-universe view
No filter
Sort: Descending by RS Rating
Shows the strongest names within the selected universe.
Important notes on Pine Screener (beta)
The Pine Screener currently displays a limited number of results (approximately 100).
Symbols may be pre-sampled before filtering.
For larger universes, consider:
- splitting symbols to be scanned into multiple watchlists
Best practices
Use RS Rating to rank and prioritize candidates, not to time entries.
Combine RS with:
- price structure,
- volume behavior,
- overall market regime.
RS is most effective when used as part of a multi-factor screening process.
Smart WaveTrend Crossover█ OVERVIEW
Smart WaveTrend Crossover is an indicator based on WaveTrend crossovers, designed to reduce the number of false signals typically produced by classic oscillator crossovers.
Instead of triggering a signal immediately at the line crossover, the indicator requires additional confirmation in the form of a price breakout from a box, created at the moment of the WaveTrend signal.
The script also includes:
- a trend filter based on a separate WaveTrend
- “fog” visualization
- candle coloring based on trend direction
- fully configurable entry signals
- automatic Take Profit / Stop Loss levels
- a real-time TP/SL table
█ CONCEPTS
Classic WaveTrend crossovers often generate noise, especially during consolidation.
Smart WaveTrend Crossover attempts to address this issue using a breakout confirmation mechanism:
- at the moment WT1 crosses WT2, a horizontal price box is created
- a trade signal is generated only when price closes outside the box
- an optional trend filter limits signals to the dominant market direction
The trend filter is built on a WaveTrend crossover using larger, slower parameters, independent from the signal-generating WaveTrend.
This allows short-term momentum to be separated from the broader market direction, and all trend filter parameters can be freely adjusted.
WaveTrend signal settings are not identical to the original / classic values.
They are configured to generate a higher number of signals, which works better in combination with breakout boxes and confirmation logic.
Signal sensitivity can be easily adjusted by modifying channel length and averaging parameters.
By default, show_only_matching is enabled:
- bullish crossover → bullish breakout only (BUY)
- bearish crossover → bearish breakout only (SELL)
█ FEATURES
WaveTrend (Signals & Trend):
- two independent WaveTrend setups:
- one for signal generation
- one for trend determination
- signal parameters configured more aggressively than classic defaults
- trend filter based on a slower WaveTrend crossover
- trend direction visualized using directional fog, not a histogram
WaveTrend Input Explanation:
- Channel Length – controls WaveTrend reaction speed (shorter = more signals)
- Average Length – smoothing of the main WT1 line
- MA Length – smoothing of the signal line WT2
- Source – price source used in calculations (default: hlc3)
Fog (Visualization):
- visual representation of market pressure in the direction of the trend
- fog height based on average candle size × offset_mult
- adjustable transparency or fully disableable
Breakout Boxes:
- a box is created on every WaveTrend direction change
- default height based on the signal candle range
- optional box expansion using average candle size × box_multiplier
Signals:
- triangles or “BUY / SELL” labels
- direction matching filter (show_only_matching)
- option to display all breakouts regardless of crossover direction
- built-in BUY and SELL alerts
Visual Settings:
- candle coloring based on WaveTrend trend direction
- full control over bullish and bearish colors
Risk Management – TP / SL:
- automatic TP1, TP2, TP3 and SL levels
- two calculation modes:
- Candle Multiplier – based on average candle range
- Percentage – percentage from entry price
- separate parameters for each level
- TP/SL lines drawn on the chart
- real-time TP/SL price table
█ HOW TO USE
Add the indicator to your TradingView chart → Indicators → search “Smart WaveTrend Crossover”
Key settings:
- WaveTrend Settings for Signals – signal sensitivity
- WaveTrend Settings for Trend – market direction filter
- Signal Settings – signal type and box logic
- Fog – pressure visualization
- Risk Management – TP/SL configuration
Signal meaning:
- BUY → upward breakout from a box after a bullish crossover
- SELL → downward breakout from a box after a bearish crossover
- visible boxes → breakout watch zones
- fog and candle color → current market direction
█ APPLICATIONS
Standalone entry system
- entering directly on BUY / SELL signals
- or entering on trend color change
Filter for price-action strategies
- using WaveTrend signals as directional confirmation
- e.g. level breakout + WaveTrend confirmation = entry
Trend indicator
- trading other tools only in the direction of the WaveTrend trend
- e.g. RSI breaks above 50 while WaveTrend trend is bullish
█ NOTES
- Default settings are a starting point and may require adjustment
- The indicator works best as part of a broader trading system
Important High/Low (Manual DateTime Picker + Strong BOS) v2.5📐 Important High / Low（结构趋势指标）使用指南
定位一句话
这是一个 “结构派趋势确认 + 关键防守位识别” 的指标
👉 不预测行情
👉 不频繁给信号
👉 只在你定义的趋势里，标出 必须尊重的高点 / 低点
一、这个指标解决什么问题？
在一段趋势中，你真正关心的只有三件事：
趋势是否还成立
哪里是“不能被破”的关键结构位
止损应该放在哪里才是“逻辑止损”而不是情绪止损
本指标通过 结构拐点（Pivot）+ 结构突破（BOS）确认 来回答这三件事。
二、核心设计理念（非常重要）
1️⃣ 重要低点 > 次要低点
不是每个低点都重要
只有“低点 → 后续出现强势突破并创新高”
才会被确认成 重要低点
2️⃣ 上涨趋势里，只允许重要低点
不会在上涨趋势里画“重要高点”
下跌趋势同理
3️⃣ 所有重要点，都是事后确认
这是优点，不是缺点
它保证：
被画出来的点，一定“已经被市场认可”
三、输入参数详解（逐个解释）
🟦 A. 趋势控制（最重要）
Trend mode
选项 含义
Auto(EMA144) 自动趋势（推荐）
Manual(Time Window) 手动定义趋势区间
Auto(EMA144)（默认、最常用）
价格在 EMA144 上方 → 视为上涨趋势
价格在 EMA144 下方 → 视为下跌趋势
📌 行为约束：
上涨趋势：只画重要低点
下跌趋势：只画重要高点
适合 90% 日内 / 波段交易
Manual(Time Window)
当你已经主观判断趋势方向时使用。
配套参数：
Manual trend direction
Up：只允许重要低点
Down：只允许重要高点
Use manual time window?
打开后，才会启用时间段控制
Manual trend START / END (date & time)
用 TradingView 日期时间选择器 直接选
不需要手填时间戳
📌 常见用途：
回测一整段趋势
训练“趋势内只做一个方向”
事件行情 / 主升浪
🟦 B. 结构拐点识别
Pivot strength (L/R)
决定一个高点 / 低点
需要左右各多少根K线确认
周期 推荐值
1–5 分钟 2–3
15–30 分钟 3–5
1 小时 5–7
4 小时+ 7–10
📌 数值越大：
结构越“干净”
但确认越慢
🟦 C. 结构突破（BOS）规则
BOS uses Wick (High/Low)
true（推荐）：
影线突破就算结构突破
false：
必须收盘价突破（更保守）
Must keep making NEW high/low
是否要求“持续创新高 / 新低”
选项 效果
true（强烈推荐） 过滤横盘、假突破
false 信号更多，但更杂
📌 打开后：
每一次 BOS
必须比上一次突破更高 / 更低
才会确认新的重要点
这是“稳”的关键来源之一。
🟦 D. 强势K线过滤（可选）
Use strong candle filter on BOS bar?
决定 BOS 那根K线是否必须是强势K线
Body / Range >=
K线实体占整根K线的比例
推荐：
0.5：宽松
0.6：平衡（推荐）
0.7：非常严格
Range >= ATR *
BOS K线的波动幅度
推荐：
日内：0.8 ~ 1.0
波段：1.0 ~ 1.2
📌 强势过滤适合：
山寨币
假突破多的品种
你想 少而准
🟦 E. 画线与止损体验
Line offset (ATR multiplier)
决定重要高/低点横线
离影线多远
市场 推荐
BTC / ETH 0.1 ~ 0.15
山寨 / 高波动 0.2 ~ 0.3
Short line length (bars)
横线长度
只影响视觉，不影响逻辑
推荐：5 ~ 8
四、不同周期的推荐模板
🔹 日内模板（15m / 30m）
Trend mode: Auto(EMA144)
Pivot strength: 3
Use wick BOS: true
Must make new high/low: true
Strong candle filter: true
Body/Range: 0.6
ATR multiple: 1.0
Line offset: 0.15
特点：
结构清晰
假突破明显减少
适合顺趋势波段
🔹 波段模板（1h / 4h）
Trend mode: Auto(EMA144)
Pivot strength: 5–7
Use wick BOS: true
Must make new high/low: true
Strong candle filter: false 或 true
Line offset: 0.2
特点：
重要点很少
但每一个都极具意义
非常适合“结构止损”
五、如何用它做交易（一句话版）
只在趋势方向上进场，
止损永远放在最近的“重要结构点”之外，
一旦被破，承认你的趋势假设是错的。
六、什么时候你“应该退出”，而不是“继续找理由”
多单：重要低点被有效跌破
空单：重要高点被有效突破
📌 这不是指标失效
📌 而是 你的趋势已经结束
📐 Important High / Low
User Guide (English Version)
One-line description
A market structure–based trend confirmation and key defense level indicator
Not predictive
No frequent signals
Only marks critical highs/lows inside a defined trend
1. What problem does this indicator solve?
In a trend, traders only care about:
Is the trend still valid?
Which level must NOT be broken?
Where should a logical stop-loss be placed?
This indicator answers these questions using
Pivot structure + Break of Structure (BOS).
2. Core Concepts
1️⃣ Important Low > Minor Low
Not every low is important
A low becomes important only if price later breaks structure and makes a new high
2️⃣ In an uptrend, only Important Lows exist
No important highs in uptrends
Vice versa for downtrends
3️⃣ All important points are confirmed after the fact
This is a feature, not a flaw
Ensures all marked levels are validated by price action
3. Input Parameters Explained
🟦 A. Trend Control (Most Important)
Trend mode
Option Meaning
Auto(EMA144) Automatic trend (recommended)
Manual(Time Window) Manually defined trend
Auto(EMA144)
Price above EMA144 → Uptrend
Price below EMA144 → Downtrend
Rules:
Uptrend → only Important Lows
Downtrend → only Important Highs
Manual(Time Window)
Used when you already know the trend direction.
Related inputs:
Manual trend direction
Up → only Important Lows
Down → only Important Highs
Use manual time window?
Enables the time window
Manual trend START / END (date & time)
Select via TradingView date-time picker
No timestamp typing required
🟦 B. Pivot Structure
Pivot strength (L/R)
Defines how many bars on each side confirm a swing point.
Timeframe Suggested
1–5m 2–3
15–30m 3–5
1h 5–7
4h+ 7–10
🟦 C. Break of Structure (BOS)
BOS uses Wick (High/Low)
true → wick break counts (recommended)
false → close break only
Must keep making NEW high/low
Requires continuous higher highs / lower lows.
true (strongly recommended)
Filters chop and fake breaks
Fewer but higher-quality structure points
false
More signals, more noise
🟦 D. Strong Candle Filter (Optional)
Use strong candle filter on BOS bar?
Defines whether the BOS candle must be strong.
Body / Range >=
Body dominance, recommended 0.6
Range >= ATR *
Expansion requirement
Intraday: 0.8–1.0
Swing: 1.0–1.2
🟦 E. Drawing & Stop-Loss Behavior
Line offset (ATR multiplier)
Distance between structure line and candle wick.
Market Suggested
BTC / ETH 0.1–0.15
Altcoins 0.2–0.3
4. Recommended Presets
🔹 Intraday (15m / 30m)
Trend mode: Auto(EMA144)
Pivot strength: 3
Use wick BOS: true
Must make new high/low: true
Strong candle filter: true
Body/Range: 0.6
ATR multiple: 1.0
Line offset: 0.15
🔹 Swing (1h / 4h)
Trend mode: Auto(EMA144)
Pivot strength: 5–7
Use wick BOS: true
Must make new high/low: true
Strong candle filter: optional
Line offset: 0.2
5. Trading Principle (One Sentence)
Trade with the trend,
place stops beyond the most recent important structure level,
and exit immediately when that structure is broken.
Auto Price-to-Bar ScaleIt adjusts the chart’s scaling according to Mitotic scaling rules, as defined in the book Geometrical Analysis by Anand Kene (available on Amazon). This method of scaling allows the application of various angles and Gann boxes, resulting in more precise target levels.
4H Pivot Levels# 4-Hour Pivot Levels - Quick Guide
## What It Does
Displays 4-hour pivot support and resistance levels on any timeframe chart with clear BUY (green) and SELL (red) labels.
## Installation
1. Open TradingView Pine Editor
2. Paste the script code
3. Save and "Add to Chart"
## Understanding the Levels
**Pivot Point (P)** - Yellow line, central reference point
- Price above = bullish bias
- Price below = bearish bias
**Support Levels (S1, S2, S3)** - Green "BUY" labels
- Demand zones where price may bounce up
- Use as long entry targets or short exit points
- S1 strongest, S3 weakest
**Resistance Levels (R1, R2, R3)** - Red "SELL" labels
- Supply zones where price may reverse down
- Use as short entry targets or long exit points
- R1 strongest, R3 weakest
## How to Use
**For Longs:**
- Buy near green support levels
- Target red resistance levels or pivot
- Stop loss below the support level
**For Shorts:**
- Sell near red resistance levels
- Target green support levels or pivot
- Stop loss above the resistance level
**For Ranging Markets:**
- Buy support, sell resistance
- Use pivot as mid-range guide
## Settings
**Display:** Toggle pivot point, support, or resistance on/off
**Line Extension:** Adjust how far lines project forward (default: 50 bars)
**Colors:** Customize pivot (yellow), support (green), resistance (red)
**Style:** Change line width (1-5) and style (solid/dashed/dotted)
## Tips
- Works on any timeframe but best on 15min-4H charts
- R1/S1 are typically the strongest levels
- Always use with price action confirmation and stop losses
- Levels update every 4 hours based on previous 4H candle
- Combine with volume and other indicators for best results
## Quick Strategy
1. Identify the trend (above/below pivot)
2. Wait for price to approach a level
3. Look for confirmation (candlestick pattern, volume)
4. Enter with stop beyond the level
5. Target next level or pivot point
Session Levels (3of3)This system is designed to strip away market noise and highlight the areas where institutional capital is actually active.
Most retail traders fail because they treat every price movement with equal importance. They often enter trades in the "middle of nowhere" or get trapped by "fakeouts" at standard support/resistance levels.
This tool solves:
Context Blindness: It defines the "playing field" by marking institutional session boundaries (Asia, London, NY), so you know exactly where liquidity resides.
Computation Lag: Standard Volume Profiles often slow down a chart. Our Optimized VPC provides the "Magnet" price without the lag.
Indecision: By requiring a Market Structure Shift (MSS) alongside a Fair Value Gap (FVG), it removes the guesswork of "Is this a reversal or a continuation?"
Why It Is Unique:
Unlike standard indicators that look at a single data point (like just price or just volume), this is a Holistic System.
Auto-Mitigation: Most FVG indicators clutter your screen with old boxes. This tool automatically deletes zones once price "fills" them, keeping your focus on live opportunities.
Institutional "Sweep" Logic: It specifically tracks if price has "stolen" the liquidity from a previous session before issuing a signal.
The "Vegas" Filter: It uses the 144 EMA (Vegas Floor) as a high-probability institutional trend filter, ensuring you aren't fighting the primary trend.
When testing this, track one specific stat: "Did price hit the VPC after the MSS?" You will likely find that even when the trade doesn't reach the far PRZ targets, it reaches the VPC Magnet over 70% of the time. Focusing on that "snap-back" to the orange line is the secret to a high win rate with this tool.
