Pro Scalper MTF Elite Strategy v1.0.0
Pro Scalper MTF Elite Strategy v1.0.0
What is this script?
This is an advanced, institutional-grade multi-timeframe (MTF) scalping and swing trading strategy for TradingView. It integrates multiple professional trading concepts—including Smart Money Concepts (SMC/SMT), price action, trend, momentum, and volume analysis—into a single, easy-to-use tool. The script is designed for traders who want robust, rules-based entries and exits, with built-in risk management and dynamic position sizing.
Key Concepts Integrated
Smart Money Concepts (SMC/SMT): Includes liquidity sweeps, order blocks, fair value gaps (FVG), and market structure breaks (MSB).
Price Action: Detects swing highs/lows, candle patterns, and support/resistance zones.
Trend Analysis: Uses EMAs, VWAP, and higher timeframe trend confirmation.
Momentum: Incorporates MACD and RSI for momentum filtering.
Volume : Identifies volume spikes for additional confluence.
Multi-Factor Confluence: Signals are generated only when multiple factors align, increasing reliability and reducing false signals.
How does it work?
- The strategy continuously scans for confluence between SMC/SMT signals, price action, trend, momentum, and volume.
- Each factor is scored, and only high-confluence setups trigger trade signals.
- Risk management is fully automated: you set your risk per trade, and the script calculates stop loss, take profits, and position size.
- Advanced features include trailing stops, breakeven logic, dynamic targets, and adaptive filters for different market regimes.
How to use
1. Add the script to your chart.
2. Adjust settings in the Inputs panel:
- By default, liquidity zones and support/resistance are OFF for a clean chart. Enable “Show Liquidity Zones (By TF)” and “Show S/R Zones” in the Visuals section to see SMT/SMC features.
- Set your account size and risk % for proper position sizing.
- Choose your preferred risk management and signal filtering options.
3. **Look for BUY/SELL labels on the chart.**
- These indicate high-confluence trade entries.
- The script will plot stop loss and take profit levels.
4. **Use the built-in strategy tester to review historical performance.**
5. **Set up alerts:** See below for details.
Features & Settings Explained
- Risk Management : Fixed % risk per trade, dynamic position sizing, trailing stops, breakeven, and adaptive targets.
- Signal Logic: Multi-factor scoring, cluster confluence, aggressive mode, candle color filter, and high conviction options.
- Advanced Filters: Bias gate, ambiguity skip, cooldown, adaptive stop modes, dynamic regime adjustment.
- Session & Volatility : Session filter, volatility gate, and dynamic position sizing.
- Visuals: All major overlays (liquidity, S/R, order blocks, FVGs, etc.) are OFF by default for clarity. Enable as needed in the Visuals section.
- Dashboard (Debug Panel): Built-in dashboard displays key signal metrics, scores, cluster counts, regime status, and trigger states directly on the chart. Enable it in the Visuals section by setting “Debug Panel Mode” to “Lite” or “Extended” and choose its position with “Debug Panel Position.”
- **Performance Tweaks:** Light MTF mode, max boxes/labels, and more.
How to enable SMT/SMC features
- Enable “Show Liquidity Zones (By TF)” for liquidity zones (SMT/SMC).
- Enable “Show S/R Zones” for support/resistance.
- Enable “Show Order Blocks” and “Show FVG” for order block and fair value gap visualization.
How to set alerts (Strategy Script)
On TradingView, strategy scripts do not allow you to select specific conditions like “Entry Buy” or “Entry Sell” in the alert dialog. Instead, you can only set a single alert for the entire strategy. Here’s how to do it:
1. Add the strategy to your chart.
2. Click the “Add Alert” (clock) icon at the top of TradingView.
3. In the alert dialog, select the strategy name as the condition (you will not see separate options for Entry Buy or Entry Sell).
4. The alert will trigger whenever the script generates a new buy or sell signal (as defined by the alert() function in the script).
5. Set your preferred alert actions (popup, email, webhook, etc.) and click “Create”.
Note: If you want separate alerts for buy and sell signals, you would need to use a companion indicator version of the script.
What strategy is this? How does it help?
This is a multi-factor, multi-timeframe confluence strategy. It helps traders by:
- Automating complex SMC/SMT and price action analysis.
- Managing risk and position size for you.
- Providing clear, actionable trade signals only when multiple factors align.
- Adapting to changing market regimes (trend/chop/volatility).
- Reducing emotional trading and overtrading.
Timeframes
- Works best on 5m, 15m, 30m, and 1H charts.
- Can be used on higher timeframes for swing trading.
- Lower timeframes (1m, 3m) may be noisier.
Does it repaint?
- The script is designed to avoid repainting. Signals are generated using confirmed bar data.
- Optional “Repaint Audit” mode is available for testing.
- Visual overlays (zones, FVGs, etc.) may update as new bars form, but trade signals do not repaint.
How long do signals show?
- Signals remain on the chart as long as the trade is active or until the next signal.
- Visual zones fade after a set number of bars (configurable).
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Supplemental Information
Author
- Script by lava_javaforum (Institutional Enhancement Strategy Variant).
- For support, contact via TradingView or the invite-only group.
Risk Management & Position Sizing
- All trades use fixed % risk per trade.
- Position size is calculated automatically.
- Dynamic sizing increases with higher conviction.
Track Record
- This is a strategy script with built-in backtesting.
- Past performance is shown in the TradingView strategy tester.
- No guarantee of future results; always forward-test before live trading.
Markets
- Designed for stocks, indices, futures, and options.
- Works on any liquid market and timeframe.
Leverage
- The script does not recommend or require leverage.
- Use leverage at your own risk.
Backtesting
- Fully backtestable in TradingView.
- Use the strategy tester to review historical performance.
Support
- Support is available for invite-only users.
- Contact the author for questions or troubleshooting.
Community
- You may contact other users in the invite-only group for feedback and tips.
Trial
- A trial period may be available for select users. Contact the author for details.
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Disclaimer
This script is for educational and informational purposes only. It is NOT financial advice. Trading involves risk, and you should only trade with money you can afford to lose. Past performance does not guarantee future results. Always do your own research and consult a financial advisor if needed.
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If you have any questions or need help with settings, contact the author directly. Happy trading!
Oscillators
End Of MooveINDICATOR: END OF MOOVE (EOM)
1. Overview
The EndOfMoove (EOM) is a specialized volatility analysis tool designed to detect market exhaustion and potential price reversals. By utilizing a modified Williams Vix Fix (WVF) logic, it identifies when fear or selling pressure has reached a statistical extreme relative to recent history.
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2. Core Logic & Calculation
The script functions by measuring the "synthetic" volatility created during sharp price drops and momentum shifts.
* Williams Vix Fix (WVF) Logic: It calculates the distance between the current low and the highest close over a specific lookback period ( 20 bars by default ). This creates a volatility spike during market bottoms or rapid corrections.
* Dynamic Normalization: The indicator continuously tracks the Historical Maximum of this volatility over a long window ( 250 bars ).
* Statistical Thresholding: It sets a "Danger Zone" at a specific percentage ( 75% ) of that historical maximum to filter out noise and isolate significant exhaustion events.
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3. Adaptive Intelligence (Detection & Smoothing)
The EOM adapts to different market conditions through its detection engine:
1. Spike Confirmation: To avoid premature entries, the script uses a confirmation window ( 3 bars ). A signal is only "confirmed" if the current volatility spike is the highest within this local window.
2. Variable Smoothing: Traders can apply an internal SMA smoothing to the raw volatility data to filter out erratic price action on lower timeframes.
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4. Visual Anatomy
The interface uses a high-contrast design to highlight institutional exhaustion:
* The Histogram:
* Faded Gray: Represents standard market volatility. The transparency is dynamic ; it darkens as volatility rises, signaling a buildup in pressure.
* Bright White: Activates when the volatility crosses the Dynamic Threshold , marking a high-probability exhaustion zone.
* The Threshold Line: A continuous horizontal boundary that represents the 75% of historical max , acting as the "Trigger Line."
* Signal Triangles: A small white triangle appears at the top of the indicator when a Volatility Spike is statistically confirmed.
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5. How to Trade with EndOfMoove
* Spotting Bottoms: Large white columns often coincide with "capitulation" phases. When the histogram reaches these levels, the current downward move is likely overextended.
* Divergence Watch: If price makes a new low but the EOM histogram shows a lower spike than the previous one, it indicates that selling pressure is drying up.
* Volatility Breakouts: A sudden transition from faded gray to bright white suggests an impulse move that is reaching its peak velocity.
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6. Technical Parameters
* WVF Period: Controls the sensitivity of the raw volatility calculation.
* Historical Max Period: Determines the depth of the statistical database (50 to 500 bars).
* Threshold %: Allows the trader to tighten or loosen the "Extreme" zone (set to 75% for balanced results).
EMA Distance IndexEMA Distance Index
EMA Distance Index measures how far price is extended from a structurally important exponential moving average calculated on a user-selected timeframe. It quantifies price location in percentage terms and compares current conditions to historical norms.
This indicator is timeframe-agnostic and works on any chart timeframe, making it a versatile tool for scalping, intraday, and swing trading.
✂️ What It Does:
- Compares current chart timeframe price to an EMA from a selectable timeframe
- Calculates the percentage distance between price and that EMA
- Computes a rolling average distance to establish historical norms
- Displays this information in a clean oscillator pane
Bitcoin 1h chart vs 4h EMA
🔦 Intention:
EMA Distance Index is designed to answer:
“How far is price from its structural mean, relative to what’s normal?”
Rather than predicting direction, it provides objective context about price location and extension.
✨ Key Features:
- Timeframe-agnostic (works on any chart)
- User-selectable EMA timeframe
- Percentage-based (volatility aware)
- Non-repainting
- Lightweight and fast
- Suitable for discretionary and systematic traders
Bitcoin Daily chart vs Weekly EMA
📈 Best Practices:
- EMA timeframe should be equal to or higher than chart timeframe
- Use as a context tool, not a standalone signal
- Adjust lookback length based on chart timeframe
- Combine with structure, VWAP, or volume analysis
📚 Common Use Cases
- Mean-reversion context
- Overextension identification
- Trend pullback evaluation
- Risk framing and trade location
- Volatility regime awareness
🛠️ Settings Overview
- EMA Length: Period used for EMA calculation
- EMA Timeframe: Timeframe on which EMA is calculated
- Lookback Bars: Number of chart bars used for averaging
⚠️ Disclaimer:
EMA Distance Index is an educational and informational tool that visualizes the distance between price and a selected EMA. It does not provide buy, sell, or trading signals, and should not be used as the sole basis for trading decisions.
Users are responsible for their own trades and risk management. Past performance, averages, or historical data do not guarantee future results. Always consider market structure, risk tolerance, and other technical/fundamental factors before taking any action.
The developer assumes no liability for any losses or damages resulting from the use of this indicator. By using this indicator, you acknowledge and accept these terms.
If you'd like access or have any questions, feel free to reach out to me directly via DM.
Anchored VWAP PercentageINDICATOR: ANCHORED VWAP PERCENTAGE (AVWAP)
1. Overview
The Anchored VWAP Percentage (AVWAP) is a quantitative momentum and mean-reversion tool. It measures the percentage distance between the current price and a Volume Weighted Average Price (VWAP) that resets automatically based on specific time cycles. It allows traders to identify overextended market conditions relative to institutional value.
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2. Core Logic & Calculation
The script tracks the relationship between price and volume starting from a specific Anchor Point .
* Volume-Weighted Foundation: Unlike simple moving averages, this indicator uses the VWAP formula: sum(Volume * Price) / sum(Volume) .
* Automatic Anchoring: The starting point (Anchor) resets automatically depending on the chart timeframe (e.g., resets weekly on a 15m chart, or yearly on a Daily chart).
* Percentage Deviation: It calculates the precise gap between the price and the VWAP, plotted as an oscillator: ((Price - VWAP) / VWAP) * 100 .
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3. Adaptive Intelligence (Multi-Asset & Multi-TF)
The AVWAP is built with an internal database of 85th Percentile (P85) volatility thresholds. It recognizes that different assets have different "stretching" limits:
1. Asset-Specific Calibration: It includes optimized data for Bitcoin, Ethereum, Altcoins, Forex, and Indices .
2. Dynamic Timeframe Mapping: The anchor period and the exhaustion thresholds adjust automatically. For example:
* Intraday (1m-5m): Anchors to an 8-hour (480 min) cycle.
* Mid-Term (15m-60m): Anchors to a Weekly (W) cycle.
* Swing (Daily): Anchors to a Yearly (12M) cycle.
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4. Visual Anatomy
The indicator is designed for high-speed decision-making:
* The Histogram:
* Green: Price is trading above the VWAP (Bullish premium).
* Red: Price is trading below the VWAP (Bearish discount).
* P85 Threshold Lines:
* These lines represent the 85th percentile of historical deviations . Historically, the price stays within these boundaries 85% of the time.
* Background Highlighting: When the histogram crosses the P85 line, the background glows, signaling a Statistical Exhaustion Zone where a retracement to the mean is highly probable.
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5. How to Trade with AVWAP
* Mean Reversion: When the histogram reaches the P85 Zone , the price is "statistically overextended." This is a prime area to look for reversals or to take profits on existing trends.
* Trend Strength: If the histogram stays near the Zero Line while the price moves, the trend is supported by healthy volume.
* Value Area: The Zero Line represents the Fair Value . Buying near the Zero Line during a bullish histogram (Green) offers a high-probability entry with low risk.
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6. Technical Parameters
* Asset Selection: A dropdown to switch between Crypto, Forex, and Indices.
* Color Customization: User-defined colors for bullish and bearish sentiment.
* Precision Control: 4-decimal precision for accurate tracking of thin-margin assets like Forex.
BT Cumulative Delta ContextBT CDC — Cumulative Delta Change (Volume Momentum)
Overview
BT CDC (Cumulative Delta Change) measures the rate of change in volume participation , not raw volume or cumulative delta itself.
In simple terms, CDC answers one question:
“Is buying or selling pressure accelerating, decelerating, or stalling?”
Where CVD shows who is holding inventory , CDC shows whether that inventory is still being added to . This distinction is critical in professional trading.
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Inputs Summary
• Delta Source – Determines how volume imbalance is estimated
• Smoothing / Lookback – Controls sensitivity to short-term vs sustained momentum shifts
• Normalization (if enabled) – Allows comparison across sessions or assets
Default settings are designed to balance responsiveness with stability for intraday futures.
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Visual Elements
• Color-coded histogram or waveform
– Positive values indicate increasing buying pressure
– Negative values indicate increasing selling pressure
• Zero line reference
– Above zero: positive participation momentum
– Below zero: negative participation momentum
Visual emphasis is placed on changes in slope and peaks , not just crossings.
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How Traders Use CDC Effectively
CDC is best used to identify advantageous periods for trading , not individual entries.
Common professional-style uses include:
• Pressing trades only when CDC supports continuation
• Avoiding breakouts when CDC is decaying
• Fading moves when CDC spikes fail to convert into sustained momentum
• Standing down during flat CDC environments (low participation)
CDC is especially effective during:
• Session opens
• Volatility regime changes
• Trend transitions
• Range-to-trend or trend-to-range shifts
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How CDC Relates to Professional Trading Desks
Professional trading desks rarely make decisions based on absolute volume or delta alone. Instead, they focus on:
• Changes in participation
• Acceleration vs exhaustion of pressure
• Whether initiative activity is increasing or fading
CDC is a retail-accessible approximation of what institutional desks refer to as:
• Order flow acceleration
• Liquidity-taking rate changes
• Participation momentum
Directional systematic funds, CTAs, and intraday macro traders use similar concepts to determine when markets are in trend-permissive states versus balanced or rotational states.
CDC is not used as a “buy/sell trigger.” It is used as a permission filter that determines whether directional trades should be pressed, faded, or avoided.
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What CDC Signals
Rising CDC
• Participation is accelerating
• Initiative activity is increasing
• Directional continuation is more likely
• Pullback trades have higher expectancy
Flattening CDC
• Participation is no longer expanding
• Inventory is being digested or distributed
• Breakouts become fragile
• Range behavior becomes more likely
Falling CDC
• Momentum is decaying
• Exhaustion risk increases
• Fades and mean reversion gain edge
CDC is most powerful when read alongside price location (VWAP, ranges, structure) and cumulative delta (CVD).
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Who Uses Similar Tools & Methods
While CDC is not a standardized retail indicator, its logic is widely used by:
• Directional systematic futures funds
• CTA-style intraday and swing traders
• Macro desks trading index futures
• Volatility and regime-based strategies
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Important Notes
• CDC is a context and regime tool , not a signal generator
• Best used in combination with CVD, VWAP, structure, and volatility
• Most valuable when aligned with time-of-day and session behavior
CDC helps traders align with periods when professional participation is expanding—and avoid trading when it is not.
CNE - Efficient Swing Structure + MomentumThe CNE Efficient Swing Structure and Momentum indicator is a sophisticated technical analysis tool designed to quantify the strength and exhaustion of price movements relative to genuine market structure rather than arbitrary time constraints. Unlike traditional oscillators that reset based on a fixed number of candles, this indicator anchors its calculations to confirmed structural pivots. The foundation of the system is a volatility-adaptive swing detection algorithm that utilizes the Average True Range (ATR) to filter out insignificant noise. A trend change is only registered when price retraces against the current direction by a user-defined multiple of the ATR, ensuring that the tool remains locked onto the prevailing trend until a statistically significant reversal occurs. This mechanism allows the trader to view momentum as a cumulative force continuously building from a verified low or high, providing a pure view of the current leg's intensity.
Once a structural anchor is established, the indicator calculates the "Pivot-to-Pivot" momentum, displaying the percent change from the start of the trend to the current price. This creates a zero-based oscillator where the zero line represents the structural origin—the absolute bottom of the current uptrend or the absolute top of the current downtrend. To contextualize this raw data, the script overlays dynamic statistical bands based on standard deviations. These bands function similarly to Bollinger Bands but are applied to the momentum of the swing itself. When the momentum histogram pushes into the outer deviation bands, specifically beyond two standard deviations, it signals that the current move is statistically overextended relative to the asset's recent volatility profile. This helps traders distinguish between a healthy, sustainable trend and a climactic move that is prone to a mean-reversion snapback.
A critical feature of this system is its ability to visualize the "average extension" of market moves, providing an immediate benchmark for trade management and target setting. The indicator plots two distinct sets of lines for both upward extensions and downward drawdowns without relying on heavy historical arrays, ensuring optimal computational efficiency. The first is a solid step-line representing the historical average of all past swings, serving as a long-term baseline for what constitutes a "normal" move. The second is a dotted marker representing a recency-weighted average, heavily biased toward the last five swings. By comparing these two lines, a trader can instantly gauge the changing market regime; if the recent weighted average is expanding away from the historical baseline, volatility is increasing, whereas a contracting recent average suggests the market is entering a period of compression.
Finally, the indicator integrates automated divergence detection based on structural flips rather than simple candle-to-candle comparisons. It records the peak momentum value of every completed trend leg and compares it to the peak of the previous leg in the same direction. If price makes a new structural high but the momentum oscillator fails to surpass the peak of the previous uptrend leg, a bearish divergence is flagged. Conversely, if price pushes to a new structural low with weaker downside momentum than the prior drop, a bullish divergence is highlighted. This combination of volatility-filtered structure, statistical deviation bands, efficiency-optimized extension targets, and structural divergence creates a comprehensive framework for assessing the probability of trend continuation versus reversal.
RB System"This indicator uses color changes to signal potential trend reversals. However, no single indicator should be the final authority for your trades. Please exercise caution."
根據顏色判斷是否轉勢的一個指標
單一指標不能做為最後根據
請小心參考
SHDW AlphaDesk|ProShort summary
Institutional multi-timeframe trend map that shows a clean Bull / Bear regime for 5m → 1M at a glance, using price structure, trend filters and momentum.
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Concept
SHDW AlphaDesk|Pro is a desk-style trend regime dashboard.
The goal is simple: when you open a chart, you instantly know if the asset is trading in a bullish or bearish environment on each major timeframe.
The script does not try to be a signal generator or an automated strategy.
Instead, it focuses on three pillars:
* Price behaviour: swing structure and directional context.
* Trend filters: dynamic moving averages and a trend-strength filter.
* Momentum: classic RSI and optional RSI price levels on the chart.
All of this is condensed into a compact table that shows, for every timeframe from 5m to 1M:
* `Trend` → Bull or Bear regime
* `RSI` → 14-period RSI value
The output is always binary (Bull or Bear) to keep the message clear and help avoid hesitation or “neutral” noise.
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Profiles
The engine is pre-calibrated with three institutional profiles:
* Scalping/Intraday (Crypto): more reactive, tuned for intraday flow, faster regime changes.
* Swing/Conservative (Crypto): smoother behaviour, designed for position and swing trading.
* Institutional (Stocks): slower and more conservative, anchored to higher-timeframe trend for equity and index flows.
All key parameters behind the scenes are handled automatically by the selected profile, so you can switch behaviour without tweaking numbers manually.
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What the script shows
On every bar:
* A multi-timeframe dashboard on the right side with TF / Trend / RSI.
* Optional EMA/SMA overlays on the price chart for visual alignment with the regime.
* Optional RSI Levels mapped into price, giving approximate areas where RSI would reach common overbought/oversold zones.
There is no trade entry, exit or risk sizing logic.
The script is a trend-reading and context tool , not a full trading system.
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How to use (institutional view)
A practical way to use SHDW AlphaDesk|Pro is:
1. Start from the top-down.
* Check 1M → 1W → 1D to establish the dominant regime (Bull or Bear).
* Only then look at intraday timeframes (12h, 4h, 1h, 15m, 5m).
2. Trade in the direction of the regime.
* Prefer long setups when the higher-timeframe column is Bull.
* Prefer short setups when the higher-timeframe column is Bear.
3. Use pivots and RSI.
* The snapshot explains how a pivot on a lower timeframe can confirm or anticipate structure on the next higher timeframe (for example, a bullish pivot on 5m confirming a higher low on 15m, etc.).
* Oversold (RSI ≤ 30) on a lower TF often warns that a higher low may be forming one step above.
* Overbought (RSI ≥ 70) on a lower TF often warns that a lower high may be forming one step above.
4. Watch for trend breaks.
* When a significant low is lost (or a strong bearish pivot appears) on a timeframe, zoom out to the next one and re-evaluate the regime there.
* On very high timeframes, a clean break of a major structural low is treated as a bear-market context.
5. Combine with your own execution.
* Use the dashboard to align direction and timing, then apply your own entry models, risk management and trade management rules.
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Important notes
* This tool is intended for educational and informational purposes only and should be combined with independent analysis and risk management.
HaP RSI ComboHaP RSI Combo
Description:
This script is a comprehensive RSI Screener designed to help traders monitor up to 200 symbols simultaneously across 5 different custom lists. It combines two powerful technical strategies: RSI Divergences and RSI Moving Average Crossovers. Instead of switching between charts, you can see all bullish and bearish signals in a single, organized table on your screen.
Key Features:
Mass Scanning:
Supports 5 Custom Lists.
Each list can hold up to 40 symbols.
Total capacity: 200 symbols scanned in real-time.
RSI Divergence Detection:
Detects Regular Bullish (PU) and Hidden Bullish (GPU) divergences.
Detects Regular Bearish (NU) and Hidden Bearish (GNU) divergences.
Fully customizable Pivot Lookback and Range settings to fine-tune sensitivity.
RSI & MA Crossover Strategy:
Scans for RSI crossing above or below a Moving Average.
Supports various MA types: SMA, EMA, SMMA (RMA), WMA, VWMA.
Customizable RSI and MA lengths.
Visual Dashboard:
Displays a clean table on the chart.
Green Column: Shows all Bullish signals (PU, GPU, RSI Buy).
Red Column: Shows all Bearish signals (NU, GNU, RSI Sell).
Adjustable text size and transparency settings.
Abbreviations Used in the Table:
PU: Regular Bullish Divergence (Positive Uyumsuzluk)
GPU: Hidden Bullish Divergence (Gizli Pozitif Uyumsuzluk)
NU: Regular Bearish Divergence (Negatif Uyumsuzluk)
GNU: Hidden Bearish Divergence (Gizli Negatif Uyumsuzluk)
AL/BUY: RSI Crossed Above MA
SAT/SELL: RSI Crossed Below MA
How to Use:
Open the indicator settings.
Select which list group you want to display (List 1, List 2, etc.).
Enter your favorite symbols (tickers) into the corresponding fields manually.
Adjust the timeframe and strategy parameters if needed.
Watch the table for real-time signals.
Note: Due to Pine Script request.security limits, ensure you are not exceeding the execution time limits if you add too many complex calculations, though this script is optimized for performance.
CRR Trend Conformator v1Description
CRR Trend Conformator v1 is a momentum-based analytical oscillator designed to study trend conformity, directional balance, and momentum transitions in price behavior.
The indicator uses Heikin-Ashi price data combined with ATR-normalized momentum, allowing momentum strength and direction to be visualized on a consistent scale across instruments and timeframes. All calculations are bar-close confirmed and non-repainting.
Momentum behavior is presented through normalized momentum candles, a dual-layer oscillator ribbon, fixed reference zones, and adaptive background shading to improve visual clarity during momentum expansion and contraction.
Price Candle Color Indication
In addition to the oscillator pane, the script applies state-based candle coloring on the price chart to reflect momentum alignment:
🟢 Bright Green Candles
Indicate a sustained positive momentum state, beginning when momentum transitions above the equilibrium level and continuing until an opposite state occurs.
⚪ White Candles
Indicate a sustained negative momentum state, beginning when momentum transitions below the equilibrium level and continuing until an opposite state occurs.
These colors represent momentum state only and are intended strictly for visual alignment and analysis, not as trade instructions.
Oscillator Pane Overview
Momentum Candles
Display normalized momentum expansion and contraction.
Oscillator Ribbon
Highlights momentum direction and relative strength.
Fixed Reference Zones
Provide context for momentum extremes.
Swing Break Detection
Marks momentum structure breaking beyond prior ranges.
Adaptive Background Shading
Enhances visual context during momentum expansion phases.
Key Characteristics
Non-repainting (bar-close confirmed)
Volatility-normalized momentum scale
Heikin-Ashi–based smoothing
Persistent momentum state visualization
Fixed structural reference zones
Clean, distraction-free layout
Core logic locked for consistency
Intended Use
This indicator is designed for momentum analysis, trend structure observation, and educational market study.
It can be used alongside other analytical tools to better understand how price behavior aligns with underlying momentum conditions
Accumulative Swing Cloud [MarkitTick]💡This indicator presents a modernized hybrid approach to J. Welles Wilder’s classical Accumulative Swing Index (ASI). While the traditional ASI is often viewed as a simple line oscillator used to confirm price breakouts, the Accumulative Swing Cloud reconstructs this concept into a dynamic trend-following system. By smoothing the raw ASI data into multiple moving average layers, this script creates a "Cloud" structure that visualizes the strength, direction, and momentum of the swing index, effectively treating the ASI value itself as a tradeable price action entity.
● Originality and Utility
The standard Accumulative Swing Index is a powerful tool for seeing through the "noise" of open, high, low, and close prices to find the real trend. However, looking at a raw ASI line can be jagged and difficult to interpret for sustained trends. This script innovates by applying "Cloud Dynamics" to the ASI. It calculates three distinct moving averages (Fast, Mid, and Slow) of the ASI value itself. The area between the Fast and Slow averages is filled with a dynamic gradient color. This allows traders to not only see the trend direction (Bullish or Bearish) but also gauge the volatility and strength of the move based on the expansion or contraction of the cloud's width. Additionally, this version introduces an optional Volume Integration feature, allowing the Swing Index calculations to be weighted by relative volume, giving more significance to moves backed by high market participation.
● Methodology and Calculations
The core of this indicator relies on the Swing Index calculation. It compares the current bar's Open, High, Low, and Close against the previous bar's values to derive a variable "R" (a measure of the market's range).
The script determines the largest price movement (K) among the High-Close, Low-Close, and High-Low ranges.
It calculates the "R" value based on the relationship between the daily range and the gap between the prior close and current open.
A Swing Index (SI) value is derived using the Limit Move value (T), the defined Multiplier, and the calculated R and K values.
This SI is accumulated into a running total (ASI State).
If Volume Integration is enabled, the SI is multiplied by a Volume Factor (Current Volume divided by Average Volume), capped at 3.0 to prevent outlier distortion.
● Visual Guide
The indicator plots several key visual elements on the chart:
Cloud Fast (Green Line): Represents the shorter-term moving average of the Accumulative Swing Index.
Cloud Slow (Red Line): Represents the longer-term moving average.
Cloud Fill (Gradient Area): The space between the Fast and Slow lines.
Green Gradient: Indicates the Fast MA is above the Slow MA (Bullish Trend).
Red Gradient: Indicates the Fast MA is below the Slow MA (Bearish Trend).
Gradient Intensity: The opacity of the color scales dynamically based on the width of the cloud relative to its recent historical maximum. A wider cloud (stronger trend/higher volatility) appears more solid, while a narrow cloud appears more transparent.
ASI Line (Color-Coded Line): The thick line represents the current raw Accumulative Swing Index value. It changes color (Green/Red) based on its position relative to the Signal Line.
Signal Line (Gray Line): A Simple Moving Average of the ASI Line, acting as a trigger for immediate reversals.
Bar Coloring: The main price candles are colored to match the current state of the Cloud (Green for Bullish Cloud, Red for Bearish Cloud).
● How to Use
Trend Identification: Use the Cloud color to determine the primary trend. A Green Cloud suggests an uptrending market structure, while a Red Cloud suggests a downtrend.
Entry Signals: Traders often look for the "ASI Line" to cross the "Signal Line" in the direction of the Cloud. For example, if the Cloud is Green, a crossover of the ASI Line above the Signal Line is a bullish confirmation.
Cloud Crossovers: A crossover of the Fast and Slow Cloud lines represents a major structural shift in the Accumulative Swing Index trend.
Volatility Filter: Pay attention to the gradient intensity. A very narrow (transparent) cloud indicates low momentum or consolidation, while a widening (solid) cloud indicates expanding momentum.
● Inputs and Settings
ASI Core Engine: Configure the Daily Limit (T) and Multiplier to tune the sensitivity of the Swing Index calculation.
Volume Integration: Toggle "Weight ASI by Volume" to factor in volume spikes. Adjust "Volume Avg Length" to define the baseline volume.
Cloud Dynamics: Choose the Moving Average type (EMA, SMA, RMA, WMA) and set the Fast, Mid, and Slow lengths to customize the cloud's reactivity.
Visual Enhancements: Toggle "Color Candles by Cloud Width" to apply the gradient coloring directly to the price bars.
● Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
TRharmonic RSI Amplitude System
TRharmonic RSI Amplitude System - Technical Guide
Overview
The TRharmonic RSI Amplitude System is an edge for anyone in the market who uses only standard RSI or oscillator indicators to trade. This measure uses the Hilbert Transform and Wavelet Analysis to determine how much the RSI is oscillating at any point in time. - This creates dynamic support and resistance bands, allowing traders to more readily see potential reversals.
Mathematical Foundation
Hilbert Transform Method
The Hilbert Transform technique constructs what mathematicians call an "analytic signal": z(t) = x(t) + j·H Here H is the Hilbert operator which shifts the phase by 90 degrees (a notion of Gabor in 1946). After Ehlers' functional adaptation to digital trading systems, the implementation begins with a high-pass Butterworth filter to detrend the data. It next separates I and Q (both in-phase) components. Think of these as perpendicular measurements, that when added together tell you the real strength of the oscillations. The immediate amplitude is then computed by |z(t)| = √(I² + Q²), which provides us with a continuous indication of how vigorously the RSI is moving.
Wavelet Transform Method
The decomposition with the Haar wavelet is based on the multiresolution analysis by Mallat (1989). Inspired by the "barplots" of each individual feature, this method decomposes the RSI signal into different frequency layers in a similar way that musical notes can be separated into their fundamental harmonics. The detail coefficients (D_j) capture the high-frequency oscillations by comparing differences between successive time points: D_j = (μ₁ - μ₂)/√2. The energy-based amplitude computation is E j = ∑|D j | ² and the final amplitude used is √(E j /scale). This normalization ensures that the amplitude measurement is invariant under what timescale in which you analyze.
Adaptive Band Construction
The dynamic band bands use a brainy multiplier reacting to the market: σ_adaptive = σ_base × (1 + StdDev(A)/A), where A is an amplitude measurements over n periods. As volatility rises, the bands widen automatically; as markets calm down, they contract. An optional Hull Moving Average (HMA) smoothing is used for band edges, and is described by HMA(n) = WMA( 2*WMA(n/2) - WMA(n), √n). Hull’s innovation here is that it reduces the lag — not at the expense of smoothness, but without ruining its look and feel: You have taut bands that don’t whipsaw. Bands by their nature are mathematically individual to each instrument within 0 and 100.
Signal Generation Framework
Extremes are zones where the RSI is likely to hit a reversal (just like price hitting the extremes on the bollinger bands). When price is over the contraption lines, momentum has overextended to that direction. 2- Reversal signals, a reversal signal needs two conditions and the bump reverse is both: - The break back out of the bands. holder band amp confirmation.exec("7 - Valid Entry") sexdate.mainloop Except that in trading binary options, this justification is conjecture. This 2-step check really helps to eliminate all the noise. The system also checks for "squeeze" conditions (where A < 0.7·μ_A), which represents a compression in volatility, ensuring that we are not only trading it here but using the indicator to warn us of potential high volatility moves building up.
Alert Architecture
The alert mechanism is built to be practical and non-disruptive. It activates once per closed bar, it also has memory of the signal so it shouldn't spam you. Everything you need to know: which symbol you are watching, what time frame, RSI values and indications for buying or selling while the amplitude statistics provide guidance on where important levels and signals reside. They are formatted using Unicode box-drawing characters for a crisp appearance that appears the same on every platform and device.
Visualization Components
It have three beautiful professionally designed colour schemes for your optional preference to suits different ideal lighting environments. The gradient fills are highly transparent (92%) so you can keep your price chart visible and still see the band structure. Real-time value labels follow around important metrics as they update and an information panel highlights all your key parameters making it even easier to track market conditions.
References
Gabor, D. (1946). Theory of communication. Journal of the Institution of Electrical Engineers, 93(26), 429-441.
Mallat, S. (1989). A theory for multiresolution signal decomposition: The wavelet representation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 11(7), 674-693.
Hull, A. (2005). Active Investing: Using Technical Analysis and Market Sentiment to Find the Best Trading Opportunities.
Awesome Oscillator PRO StrategyAwesome Oscillator PRO Strategy with ATR-Based Risk Management
This strategy is a version of the classic Awesome Oscillator (AO), designed to add both visual clarity and robust trade management.
Features:
• AO Histogram with adaptive colors
• Candle coloring & background shading for trend visualization
• Signal markers (dots & arrows) for easy spotting
• Alerts for key AO crossovers
• Optional trend filter & multi-timeframe confirmation
• ATR-based Stop Loss & Take Profit for dynamic volatility adaptation
• Fully backtestable with customizable parameters
How It Works:
• Entry Signals: AO crosses above/below the signal line
• Risk Management: ATR-based SL/TP ensures trades adapt to market volatility
Disclaimer:
This script is for educational purposes only. Trading involves risk, and past performance does not guarantee future results. Please test thoroughly and use at your own discretion. You are solely responsible for your trading decisions.
Momentum Clarity Engine📘 Description - Momentum Clarity Engine
Momentum Clarity Engine (MC-Engine) is a visual momentum-context indicator designed to help traders clearly identify trend direction, momentum strength, and low-quality market conditions using a disciplined combination of MACD and RSI.
Rather than generating buy or sell signals, MC-Engine focuses on clarity and risk control by visually classifying price action into intuitive momentum states and highlighting periods where trading conditions are unfavorable.
🔍 How it works
The indicator combines:
MACD Histogram → momentum direction and strength
RSI → bullish vs bearish pressure balance
Based on this confluence, price candles are colored to reflect market state:
Strong Bullish Momentum → Dark Green (solid)
Weak Bullish Momentum → Light Green (transparent)
Strong Bearish Momentum → Dark Red (solid)
Weak Bearish Momentum → Light Red (transparent)
No-Trade Zone → Muted Orange (high transparency)
Candle opacity dynamically adapts to MACD histogram strength, allowing traders to visually sense when momentum is expanding, weakening, or lacking conviction.
🟠 No-Trade Zone (Key Feature)
The No-Trade zone highlights periods of:
Low momentum
RSI balance / indecision
Choppy or transitional price action
These conditions often result in poor risk-reward.
The muted orange color is intentionally designed to encourage patience and discipline.
✅ How to use MC-Engine
MC-Engine is best used as a trade filter and context tool, not as a standalone strategy.
Common use cases:
Confirming trend strength before entries
Avoiding trades during low-momentum chop
Filtering breakouts and pullbacks
Intraday trading on 1-minute to 15-minute charts
Futures, indices, equities, and crypto markets
Recommended to pair with:
Market structure
Trendlines
VWAP
Support & resistance
Higher-timeframe context
⚠️ Important Notes
This indicator does not provide buy or sell signals
No repainting or future-looking logic
Designed for educational and analytical purposes only
Always apply proper risk management
🧠 Philosophy
The goal is not to trade more —
the goal is to trade when conditions are clear.
Momentum Clarity Engine helps traders participate during strong momentum and stand aside during uncertainty.
Accumulation-Distribution Rate of ChangeAccumulation-Distribution Rate of Change (AD Rate of Change)
This indicator is a powerful momentum oscillator by applying a Rate of Change (ROC) calculation. It helps traders or investor identify shifts in buying and selling pressure through volume-weighted price action, making it especially useful for spotting accumulation/distribution phases, momentum strength, and potential trend changes in individual security
Interpretation
Trending Upwards - Accumulation Pressure is Increasing overtime could indicate bullish momentum
Trending Downwards - Distribution Pressure is Increasing overtime could indicate consolidation or bearish momentum
Positive or Negative Value - Accumulation or Distribution Dominant Pressure
Green Histogram Bar - Rate of Change is accelerating due to higher rate of change compared to previous bar
Red Histogram Bar - Rate of Change is decelerating due to lower rate of change compared to previous bar
Key Features
- Adjustable ROC length for sensitivity to longer or shorter-term momentum shifts
- Additional smoothed orange signal line to identify more confluence in the trend
Range Multi-jour Double - SessionEnglish:
Allows you to display the daily highs and lows for two specific sessions, along with the RSI shown as a numerical value at the top. This lets you see at a glance if it's overbought or oversold (turning red). It provides an OPR for both the London and NY sessions in a single indicator.
Français:
Permet d'avoir le plus haut et le plus bas de 2 sessions pour chaque journée + le RSI afficher en haut en chiffre pour voir en un coup d'oeil s'il est en surachat ou en survente, il devient rouge. Ca permet d'avoir un OPR pour la session de londre et de NY en 1 indicateur.
Smart Signals [Vdubus]Smart Signals
Concept & Philosophy
Smart Signals is a "Regime-Filtered" oscillator designed to solve the biggest problem with standard indicators: Counter-trend noise.
Most oscillators (like Stochastic or RSI) are "dumb" to market context—they will signal "Sell" continuously during a strong uptrend simply because the price is high. Smart Signals fixes this by first determining the Market Regime (Bullish or Bearish) and then strictly filtering out any signal that contradicts that trend.
It creates a "Tiered" trading system that separates standard trend-following entries from high-probability "Sniper" entries (Hidden Divergence), all presented in a clean, color-blind-friendly visual interface.
Core Functions
1. The "Sheriff" (Trend Filter)
At the heart of the indicator is a heavy, modified Hull Moving Average (HMA 200) that acts as the trend baseline.
Bullish Regime: When the baseline is sloping UP, the indicator enters "Buy Only" mode. All Sell signals are mathematically deleted.
Bearish Regime: When the baseline is sloping DOWN, the indicator enters "Sell Only" mode. All Buy signals are mathematically deleted.
The Math: It uses a custom difference-weighted formula (wmaHalf = Length / 1) to create a stable, chop-resistant trend anchor.
2. Dual-Signal Engine
The indicator scans for two distinct types of entries simultaneously:
♦ Standard Signals (Blue/Red Diamonds):
Logic: A classic Stochastic pullback (Cross 20/80) aligned with the trend.
Use Case: These are frequent "Bread and Butter" trend entries. They are excellent for scaling into a position or adding to a winner as the trend continues.
Location: Plotted at the top (Sell) and bottom (Buy) edges of the panel.
+ Sniper Signals (Gold Crosses):
Logic: Hidden Divergence. The script detects when Price holds structure (Higher Low) while Momentum resets (Lower Low). This is a "Slingshot" setup.
Use Case: These are rare, high-conviction entries. They often mark the end of a complex correction and the resumption of the main trend.
Location: Plotted on the Zero Line to indicate structural strength.
3. Smart Momentum Histogram
The histogram visualizes the "Energy" of the move (MACD 21, 34, 7), but with a twist. It is color-coded to the signal priority:
Gold Bars: A Sniper (Divergence) setup is active.
Solid Blue/Red Bars: A Standard Signal is active.
Faded Blue/Red Bars: The trend is active, but momentum is resetting (waiting mode).
Gray Bars: Counter-trend noise (Ignore).
How to Trade It
Check the "Road": Look at the general color of the histogram columns.
Blue Columns: Look for Longs.
Red Columns: Look for Shorts.
The "Sniper" Entry: Wait for a Gold Cross (+) on the zero line. This is your primary signal to enter a trade with normal risk.
The "Pyramid" Entry: If the trend continues and you see Blue/Red Diamonds (♦) appear at the edges, these are safe places to add to your position.
The Exit: Since this is a trend-following tool, exit when the histogram color flips (e.g., from Blue to Red/Gray), or use your own support/resistance targets.
Alerts Configuration
The indicator comes with a full suite of alerts for automation:
Gold Buy / Gold Sell: Notifies you only for the high-probability Hidden Divergence setups.
Standard Buy / Standard Sell: Notifies you for every trend pullback.
ANY BUY / ANY SELL: A combo alert that triggers on either signal type (useful for simplifying your alert limits).
Accessibility
Color Blind Friendly: The default palette uses High-Contrast Blue (#2962FF) and Soft Red (#FF5252) instead of standard Green/Red, ensuring visibility for all users.
Zero Clutter: No text labels or confusing lines. Just clear, distinct shapes (Diamonds and Crosses) at fixed locations.
Crypto Swing Pro [All-in-One] v2 [R2D2]1. Introduction
Crypto Swing Pro (CSP) is a professional-grade technical analysis suite designed for high-volatility cryptocurrency markets. It consolidates the top five institutional-grade indicators—RSI, EMAs, OBV, MACD, and Bollinger Bands—into a single overlay.
New in v2.0: The script now includes a fully integrated Alert System. You no longer need to stare at the chart all day. You can set the script to email you or ping your phone exactly when a MACD Cross occurs or when Volatility Squeezes, ensuring you never miss a move.
2. Installation
1. Open TradingView: Go to your chart.
2. Open Pine Editor: Click the tab at the bottom of the screen.
3. Paste Code: Delete existing code and paste the v2.0 script above.
4. Save: Name it CSP v2.
5. Add to Chart: Click "Add to Chart".
3. How to Set Up Alerts
This is the most powerful feature of v2.0. You can set alerts for specific conditions without needing to write code.
1. Click the "Alert" Button: Located on the top menu bar of TradingView (looks like an alarm clock).
2. Condition: In the "Condition" dropdown menu, select CSP v2.
3. Select Trigger: A second dropdown will appear. Choose the specific signal you want to track:
MACD Buy Signal: Triggers when MACD crosses bullish.
RSI Oversold (<30): Triggers when price is mathematically cheap.
Volatility Squeeze: Triggers when a big move is imminent.
Price Cross Over 200 EMA: Triggers on major trend reversals.
4. Options: Select "Once Per Bar Close" (Recommended to avoid false signals during the candle fluctuation).
5. Notify: Check "Notify in App" or "Send Email".
6. Create: Click Create. You will now be notified even if you are asleep.
4. The Dashboard (HUD)
The on-screen table gives you an instant "Health Check" of the asset.
Indicator Status Meaning
RSI (14) Green (<30) Oversold. Look for long entries.
Red (>70) Overbought. Look to take profit.
MACD BULLISH Momentum is up.
TREND UPTREND Price is above the 200 EMA (White Line).
VOLATILITY SQUEEZE CRITICAL: Market is coiling. A breakout is coming soon.
VOLUME ACCUMULATION Whales are buying (OBV is rising).
5. Configuration & Visuals
Hover over the indicator name on the chart and click the Settings (Gear) icon.
Toggle Indicators: Uncheck any indicator (like Bollinger Bands or EMA 20) to hide them if you want a cleaner view. The Dashboard will still calculate them in the background.
Dashboard Position: Move the table to any corner or turn it off entirely if it blocks your price view.
Color Themes: Adjust the RSI background colors or EMA colors to fit your chart theme (Light/Dark mode).
6. Best Practices
The "Squeeze" Play: If you get a Volatility Squeeze alert, do not enter immediately. Wait for the price to break out of the Bollinger Bands. The squeeze is the "Get Ready" signal; the breakout is the "Go" signal.
The "Trend" Filter: If the 200 EMA (White Line) is above the price (Downtrend), ignore all "MACD Buy" alerts. Trade with the macro trend, not against it.
CRR Trend Conformator v1.1Best used to study trend conformity, momentum strength, and internal market balance
Higher Stochastic defines the environment
Lower Stochastic reflects internal participation
RSI Banker highlights pressure sustainability
No direct buy/sell, no predictive claims, no execution logic
This tool is especially useful for:
Trend behavior study
Momentum phase identification
Multi-layer confirmation research
Market condition filtering alongside other analytical tools
Smart Momentum Wave
Smart Momentum Wave – Market Momentum Analysis System
Smart Momentum Wave (SMW) is a sophisticated analytical tool designed for traders who value data clarity and objectivity in market assessment. The algorithm integrates price dynamics, capital activity, and volatility, providing a comprehensive situational overview in a single, transparent panel below the price chart.
Analytical Modules and Technology
1. Primary Impulse Wave
The core logic of the indicator is based on two dynamic lines reacting to the price structure.
• Dynamic Wave: Adapts its color to green during bullish phases and red during bearish phases, allowing for an immediate assessment of the dominant trend.
• Signal Base: A subtle blue reference line used to identify momentum crossover points.
2. Capital Activity
A module that analyzes the flow of market funds to verify trend strength.
• Visualization: Background columns represent the intensity of capital accumulation or distribution.
• Application: Helps distinguish genuine market moves from temporary corrections.
3. Adaptive Volatility Zones
The algorithm utilizes intelligent bands that automatically adjust to current market conditions.
• Mechanics: The ranges scale during periods of high activity and contract during consolidation.
• Application: Effectively filters low-quality signals by focusing on moments of significant statistical price deviation.
4. Divergence Identification (Type A & Type B)
SMW automatically identifies and plots divergence lines on the chart:
• Type A (Classic): Signals potential trend exhaustion points.
• Type B (Hidden): Indicates a potential continuation of the current directional move.
Extended Features and Personalization
• Fast Pulse Overlay: Displayed as a background cloud, it indicates local areas of extreme deviation, which is crucial for the early identification of reversal points.
• Trend Candles: An optional feature that projects trend logic directly onto the price chart, assisting in maintaining analytical discipline.
• Multi-Timeframe (MTF): Provides the ability to analyze trends from higher timeframes without changing the primary chart interval.
Intelligent Alert System
The indicator features a built-in, comprehensive alert system that enables full automation of market monitoring:
• Entry Signals: Notifications for confirmed bullish (Long) and bearish (Short) impulses.
• Divergences: Separate alerts for detected Type A and Type B divergences.
FAQ – Frequently Asked Questions
1. ACCESS: This tool is available exclusively to subscribers (Invite-only). To gain access, please send an email to:
SmartMoneyAlgoSystem@proton.me
Access to Smart Momentum Wave is granted manually. After purchasing a subscription, provide your TradingView username. The indicator will appear under the Indicators -> Invite-only scripts tab.
2. Which markets and instruments does SMW work on? The algorithm is universal and works on all liquid instruments available on TradingView, including Cryptocurrencies, Forex, Stocks, Indices, and Commodities. It demonstrates the highest analytical effectiveness in high-volume markets.
3. Does the indicator "repaint" signals? No. All signals (Buy/Sell dots) and wave crossovers are based on closed candle data. Divergences appear after a pivot point is confirmed, which is the standard in reliable technical analysis.
4. Which timeframes are optimal for SMW? The indicator is designed to work on any timeframe – from scalping (1m, 5m) to long-term trading (1D, 1W). With the Multi-Timeframe (MTF) function, users can filter lower-interval signals through the lens of a higher-order trend.
5. Are the signals generated by SMW infallible? No analytical tool guarantees 100% accuracy. SMW provides a statistical advantage by identifying moments with a high probability of momentum change. The key to success is combining the algorithm's indications with your own risk management system and exit strategy.
6. Do I need to change the default settings? The factory settings are optimized to provide a balance between sensitivity and signal stability across most markets. However, advanced users can personalize parameters such as wave length or divergence sensitivity to suit the specific dynamics of a given asset.
LEGAL DISCLAIMER
The Smart Momentum Wave indicator is a tool supporting technical analysis and is intended for educational and informational purposes only.
Please note the following:
1. No Recommendation: This tool does not constitute investment advice or a recommendation within the meaning of the Regulation of the Minister of Finance of October 19, 2005.
2. Market Risk: Trading financial instruments involves a high risk of loss. Past performance does not guarantee similar future results.
3. Liability: The author of the indicator is not responsible for the investment decisions of users or their financial consequences.
4. Decision Making: Every transaction is undertaken by the user independently, based on their own strategy and risk assessment.
Smart Divergence [Reason Edition]Stop trading divergences "in thin air". Start trading structural confluence.
Most divergence indicators fail for one reason: they signal reversals based solely on oscillator math (RSI vs. Price), ignoring the chart's structure. This leads to costly entries against strong trends.
Smart Divergence solves this by applying an Institutional Context Filter. It does not simply alert you of a divergence; it validates the signal against key market structures ("Walls") and—crucially—tells you exactly why the signal appeared directly on the label.
🚀 How It Works: The "Smart Filter" Logic
This script operates on a strict rule: "No Structure, No Signal."
For a Bullish or Bearish divergence to be valid, price must not only diverge from RSI but also physically touch or react to one of four key structural levels:
BB (Bollinger Bands): Rejection due to volatility extension (2.0 StdDev).
KC (Keltner Channels): Rejection due to average range deviation (1.5 ATR).
Pivots (S1/R1): Rejection at standard daily algorithmic levels.
VWAP: Rejection at the institutional average price (Volume Weighted Average Price).
🏷️ Dynamic "Reason" Labels
This is the core feature of this edition. The label on your chart adapts dynamically to show the specific confluence behind the trade.
Examples you will see:
SMART BULL (BB) → The divergence is valid because price hit the Bollinger Band.
SMART BULL (VWAP) → The divergence is valid because price bounced off the VWAP.
SMART BULL (BB VWAP) → High Probability: Price hit the Bollinger Band AND the VWAP simultaneously.
The Logic: The more "Reasons" (acronyms) appear inside the label, the stronger the structural wall, and the higher the probability of a reversal.
🛠️ Settings & Features
🛡️ Smart Filter (Toggle):
ON (Default): Only shows high-quality signals that occur at Support/Resistance zones.
OFF: Shows all raw technical divergences (standard mode).
Alerts Included: Setup custom alerts for "Smart Bull" (Buys) and "Smart Bear" (Sells).
Zero Repainting: Signals are confirmed upon candle close/pivot confirmation.
📋 How to Trade It
Wait for the Label: Do not guess. Wait for the SMART label to appear.
Check the Reason: Look at the text in parenthesis (...).
Single reason (e.g., KC) is a valid setup.
Cluster reasons (e.g., BB S1 VWAP) represent a "Concrete Wall" and are ideal for aggressive entries.
Context: Works best on Intraday timeframes (1m, 5m, 15m) for scalping, and Daily timeframe for Swing Trading bottoms/tops.
Disclaimer: This tool is for educational purposes and technical analysis assistance. Past performance does not guarantee future results. Manage your risk.
RSI Exact Cross Labels DaliliThe RSI script is a simple exhaustion and reset marker that highlights RSI crossovers at 30 and 80. A cross up through 30 marks relief from downside pressure and a potential reset, while a cross down through 80 marks upside exhaustion and fading momentum. It is not used to generate trades, but to contextualize price action, showing when candle structure and power are occurring in stretched versus normalized conditions.
Trend Master [Sensai trading]Trend Master — Advanced Trend Detection Made Simple
Trend Master is a powerful and highly configurable trend indicator designed for traders who want clarity, confidence, and consistency in trending markets .
Instead of relying on a single signal, Trend Master combines multiple proven technical factors to determine the true market direction. By blending MACD crossovers, RSI analysis, and moving average crossovers, it filters out market noise and focuses on what really matters: the dominant trend.
Why Trend Master?
Markets don’t trend cleanly all the time — and that’s exactly why Trend Master stands out. The multi-factor approach dramatically reduces false signals, especially when trading higher timeframes, where trend reliability is key.
Key Features
✅ Multi-Factor Trend Detection
Combines MACD crossovers, RSI conditions, and moving average crossovers for robust confirmation. The trend changes when all activated indicators are alligned.
⚙️ Highly Customizable
Fine-tune settings and combinations to match your trading style and market preferences.
📉 Reduced False Signals
Designed to filter chop and noise.
📈 Ideal for Trending Markets
Best used when markets are moving with direction and momentum.
Who Is It For?
Trend Master is perfect for:
Trend traders
Swing traders
Forex, Indices, Stocks, Crypto
