Multiple SMA Indicator with LabelsMultiple SMA Indicator with Labels
Shows text on the MA line
Labels move automatically with price
No clutter (only appears on the latest bar)
Displays SMA name + current value
Indicators and strategies
RMP2025 Dynamic Indicator with 1:2.5 RRRBuy/Sell forecasting based on HTF to LTF windows... contact me for best settings......
MTF Target Radar [Rulph]MTF Target Radar - Multi-Timeframe Target Clustering with Machine Learning
MTF Target Radar is an advanced target projection system that analyzes trendline breakouts across multiple timeframes (Daily to Biweekly) and clusters projected targets into high-probability zones. It dynamically calculates targets from actual breakout patterns and validates them through multi-timeframe confluence and machine learning, instead of using static support/resistance or fixed Fibonacci ratios.
The system continuously tracks cluster performance (Reached / Lost / Timeout) and uses this history to improve future predictions through a transparent k-Nearest Neighbors (k-NN) logic, providing explainable adjustments to cluster quality rather than black-box scores.
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WHY COMBINE MULTI-TIMEFRAME TARGETS?
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Most target projection methods rely on a single timeframe or on arbitrary geometric ratios. MTF Target Radar is designed around three core ideas:
1. Cross-timeframe validation : A target zone where multiple higher timeframes converge (e.g., 1D, 2D, 3D, 4D, 5D, 6D, 1W, 2W) indicates a structural price magnet, where several independent trend cycles agree on a probable area of exhaustion, continuation, or reversal.
2. Dynamic projection from real patterns : Targets are computed from the geometry of each breakout (distance from the trendline to the extreme of the pattern) instead of being fixed percentages from arbitrary swing points. This makes projected levels adaptive to the actual volatility and structure of each pattern.
3. Adaptive learning : The system learns which cluster characteristics (density, strength, distance, momentum, market regime, etc.) historically lead to successful outcomes and then gently adjusts future cluster qualities in that direction.
The result is a "target radar" where the most important zones stand out because they combine: multiple timeframes, favorable structure, and a positive historical profile with similar setups.
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COMPONENT 1: TRENDLINE BREAKOUT DETECTION
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For each enabled higher timeframe (up to 8), the indicator performs the same deterministic process:
1. Swing pivot detection
It finds swing highs and lows using a configurable pivot length (default 3 bars left and right), which defines local extremes for trendline construction.
2. Trendline construction
- For bullish breakout setups (upward target clusters), it connects two descending swing highs to form a bearish trendline.
- For bearish breakout setups (downward target clusters), it connects two ascending swing lows to form a bullish trendline.
3. Breakout detection
A breakout is confirmed when the close crosses and holds beyond the trendline in the opposite direction of the preceding trend (close above a descending line for long setups, or below an ascending line for short setups), which indicates that the previous trend structure has failed.
4. Target projection
The target is measured from the internal structure of the pattern, not guessed:
For bullish (upward) targets:
- The algorithm finds the lowest low between the second pivot and the breakout.
- It computes the vertical distance from the trendline value at that bar to this lowest low.
- This distance is then projected above the breakout level to obtain an initial target.
For bearish (downward) targets, the logic is mirrored using the highest high within the pattern range.
This makes each target a direct function of how "compressed" price was before breaking out, creating geometry-driven objectives that adapt to each pattern.
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COMPONENT 2: TARGET CLUSTERING
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All individual targets from active timeframes are merged into clusters, which represent zones where multiple projected levels overlap or lie very close to each other.
Clustering logic :
- All targets are sorted by price.
- Targets within a maximum distance (MAX_CLUSTER_DISTANCE, default 1.5% of price) are merged into a single cluster.
- A cluster must contain at least MIN_CLUSTER_SIZE targets (default 2) to be considered valid and plotted.
Cluster properties include:
- Center : the average target price within the cluster.
- Size : number of contributing targets; more targets imply stronger structural agreement.
- Spread : the price width between the lowest and highest targets in the cluster.
- Timeframe composition : which timeframes contributed (e.g., "1D, 2D, 3D, 1W").
A tight cluster where many timeframes converge is treated as a stronger and more precise target than scattered levels spread widely in price.
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COMPONENT 3: QUALITY SCORING SYSTEM
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Each cluster receives a base quality score from 0 to 1, computed as a weighted combination of four dimensions:
1. Density score (weight: 0.35)
- Based on how narrow the cluster is relative to volatility.
- Uses normalized spread: cluster_spread / ATR(14).
- A smaller normalized spread leads to a higher density score.
2. Strength score (weight: 0.35)
- Depends on the number of targets and their distribution across timeframes.
- Uses a log-scaled function of cluster size and a density factor so that adding more confluences yields diminishing but still meaningful improvements.
3. Reachability score (weight: 0.20)
- Based on the distance from current price to cluster center in percent terms.
- Closer clusters are easier to reach; very distant ones are penalized unless the market and trend strongly support extended moves.
4. Momentum score (weight: 0.10)
- Analyzes the last few candles (e.g., 5 bars) using candle bodies, wicks, and short-term rate of change to determine whether current price action supports moving into the cluster.
Base quality formula :
The base quality is a convex combination:
Q_base = 0.35 × Density + 0.35 × Strength + 0.20 × Reachability + 0.10 × Momentum, with additional multiplicative penalties when reachability is too low or the overall market regime contradicts the direction of the cluster.
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COMPONENT 4: MACHINE LEARNING ADJUSTMENT
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When the ML enhancement is enabled and there is enough history, the script uses an internal k-Nearest Neighbors approach to adjust cluster quality based on what worked or failed in the past.
Feature extraction :
For each cluster, the system extracts a feature vector including:
- Base quality, distance to target, volatility, trend strength (ADX), RSI value, volume ratio, recent momentum, cluster size, density, market regime, volume trend, timeframe consistency, and price acceleration.
Neighbor search :
- Only clusters with the same direction (up or down) and with finalized outcomes (reached, lost, or timeout) are considered.
- A Lorentzian distance metric is used: sum over all features of log(1 + |difference|) multiplied by per-feature weights, so that extreme outliers do not dominate.
Graduated success scoring :
Each historical cluster stores a continuous success_score, not just 0 or 1:
- Full success when the target zone is actually reached with reasonable timing.
- Partial credit when price comes very close but slightly misses the cluster or reaches only part of it.
- Penalties when the cluster times out or price moves away strongly.
ML adjustment of quality :
The script computes an ML_probability for the active cluster by aggregating neighbors' success_score values weighted by similarity and recency. This ML-derived probability is then mixed with the base quality:
Q_adjusted = Q_base × (1 − ML_weight) + ML_probability × ML_weight,
where ML_weight increases gradually with the amount and reliability of historical data and is capped so that ML cannot completely override the base structural logic.
Additionally, performance metrics such as recent accuracy, false positives, false negatives, and total predictions are tracked to adapt how much trust is placed in ML adjustments over time.
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COMPONENT 5: TIME-TO-TARGET PREDICTION
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When time prediction is enabled, the indicator estimates how many bars it may take for price to reach the cluster. This is an experimental feature designed for context, not as a hard promise.
Base estimate :
- Uses distance to cluster and current volatility as primary inputs.
- Time is scaled differently for various asset classes (e.g., crypto vs. equities), so that fast markets do not get unrealistic long estimates and slow markets do not get unrealistically short ones.
ML refinement :
If enough successful historical clusters with similar features are available, the script:
- Filters neighbors that actually reached their targets.
- Uses their real bars_to_reach values.
- Computes a weighted average to refine the time estimate.
The final time prediction is a blend of base estimate and ML-derived value, with a confidence measure derived from the number, similarity, and recency of matching examples.
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CLUSTER STATE MACHINE
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Each cluster goes through a simple and explicit state machine:
forming → active
Once cluster quality rises above the minimum threshold, it becomes active and is displayed on the chart.
active → reached
The cluster is marked as reached when price touches at least the first target in its internal list (TP1), using direction-sensitive logic (high >= TP1 for long clusters, low <= TP1 for short clusters).
active → lost
If the underlying targets are structurally invalidated (e.g., fewer than MIN_CLUSTER_SIZE remain due to market movement), the cluster becomes lost.
active → timeout
If age exceeds MAX_CLUSTER_AGE (default 40 bars) without reaching the target, the cluster is marked as timeout, so stale setups do not stay active indefinitely.
Final states (reached, lost, timeout) are recorded with snapshots of cluster features, bars_alive, bars_to_reach, and realized P&L percentage. These records feed back into the ML history.
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HOW TO USE MTF TARGET RADAR
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Basic workflow :
1. Enable the higher timeframes that are relevant to your trading style (e.g., 1D–6D + 1W for intraday or swing trading).
2. Set Min Quality Score (MIN_QUALITY) according to your risk tolerance:
- 0.3–0.4 for aggressive,
- 0.5–0.6 for balanced,
- 0.7+ for conservative setups.
3. Optionally enable ML and time prediction once enough history is accumulated.
4. Use the trend context block (if enabled) to see whether clusters align with the dominant trend or go against it.
Reading the chart :
- Green boxes above price = upward target clusters (long objectives).
- Red boxes below price = downward target clusters (short objectives).
- Box width shows the price range of the cluster; box position shows where price is expected to gravitate.
- Labels can include: contributing timeframes, cluster center, base quality, ML-adjusted quality, distance to target, and estimated time to target when enabled.
Example entry logic :
- For a long: price is below a strong green cluster, quality > 0.6, direction aligned with the current trend, and ML-adjusted quality is not significantly lower than base quality.
- Entry can be timed using your own triggers (breakouts, pullbacks, candlestick patterns), while the cluster defines the target area rather than the exact entry.
Example exit logic :
- Take profit as price enters the cluster zone.
- Scale out around cluster center or when realized move covers your planned R-multiple.
- Exit early if the cluster flips to "lost" or if an opposite-direction high-quality cluster appears and is closer than the current one.
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WHAT MAKES MTF TARGET RADAR ORIGINAL
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MTF Target Radar is not a simple overlay of trendlines and support/resistance; it implements a full pipeline: pattern-based target projection, cross-timeframe clustering, quality scoring, and machine learning feedback.
Key aspects of originality include:
- Multi-timeframe target clustering where zones are built from many independent breakouts instead of a single pattern.
- Quantified cluster quality combining density, strength, reachability, and momentum in a transparent scoring model.
- Graduated ML learning that uses continuous success scores and explainable k-NN, rather than opaque models.
- State machine tracking of each cluster's lifecycle with explicit rules for success, failure, and timeout.
- Optional time-to-target estimation that reuses the same ML history instead of guessing fixed time windows.
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CHART LEGEND
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- Green box above current price: bullish target cluster.
- Red box below current price: bearish target cluster.
- Historical clusters can be marked with symbols:
- ✓ for reached,
- ✗ for lost,
- ⏱ for timeout,
often accompanied by a diagonal line showing entry-to-target path and final P&L%.
- Optional trend context (LazyTrend/SuperTrend-style block):
- Green background: bullish regime.
- Red background: bearish regime.
- Neutral colors: sideways or mixed regime.
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Additional Resources (Optional) :
This description is complete and self-contained; no external materials are required to understand how the script works or how to use it. Any separate educational ideas or examples are optional and serve only as additional illustration.
Disclaimer: MTF Target Radar is a decision-support tool, not a standalone trading system. All trading involves risk, and past cluster performance does not guarantee future results. Always backtest and apply proper risk management.
BUY/SELL+Engulfing Forecaster RickyPinedaFor 5m TF Set UP (BTCUSD, XAUUSD etc…..)
F Fast EMA (LTF) = 9
Slow EMA (LTF) = 21
Trend EMA (LTF) = 100
Bars for HH/LL Filter (LTF) =20
SL RR Multiplier (Risk) =0.5
TP RR Multiplier (Reward) = 1.5
Required Break = true
Use Strength =true
Filter Entries by Trend = true
Use HTF Bias = True
HTF1 = 4H
HTF2 = Daily
HTF3 = Weekly
Session Filter all = False
Pin Wick = 2 / Body Full range Max Ratio = 0.3
Block Main Entries while PR is Active = False
Allow PR with main Signal = true
Show Engulfing BUY/SELL Label = true
Engulf body size Multiplier = 2
Follow me for more updates....
Session Standard Deviations [IbnHindi]Session Standard Deviation⁺
Introduction
Session Standard Deviation⁺ is a comprehensive technical analysis tool designed to map key session-based price levels through Fibonacci deviation zones while simultaneously tracking real-time market regime conditions. Built for precision intraday analysis, this indicator combines structured session reference points with volatility-based regime filtering to provide traders with both tactical price zones and macro bias context across any liquid instrument.
This indicator does not predict direction or generate trade signals. It operates on confirmed time-based session structures and produces logic-bound visuals designed for traders who understand ICT-based price delivery models and seek consistent visual frameworks for tracking displacement, deviation targeting, and regime-aware decision making.
Key Terms and Definitions
Session Reference Candle : A specific time-stamped candle that serves as the structural anchor for Fibonacci projections. The tool recognizes four distinct session markers: London Open (4:00 AM), Asia Range (8:00 PM–12:00 AM), New York 8:30 AM, and New York 9:30 AM. Each session's high and low become the baseline for calculating all subsequent deviation levels.
Fibonacci Deviations : Price levels calculated as multiples of the session range, extending both above and beyond the reference high and low. Unlike traditional Fibonacci retracements, these deviations project targets at standard levels (0, 0.5, 0.618, 1, 1.618) as well as extended levels (2, 2.25, 2.5, 3, 3.25, 3.5, 4, 4.25, 4.5, 4.618), and their negative equivalents. These zones represent potential areas where institutional orders may cluster during expansion or retracement.
Regime Analysis : A multi-factor assessment of current market conditions based on volatility (ATR), directional bias (EMA), and trend strength (ADX). The regime framework categorizes the market into three states: trending bullish, trending bearish, or consolidating. This classification helps traders contextualize whether session-based deviations are likely to act as continuation targets or reversal zones.
ATR (Average True Range) : A volatility measurement comparing fast and slow periods to determine whether the market is expanding (regime-high volatility) or contracting (regime-low volatility). When fast ATR exceeds slow ATR, the market is considered to be in an elevated volatility state, which often accompanies displacement moves that respect deviation levels.
Trend EMA : A directional filter using an exponential moving average to determine whether price is trading above or below a defined trend anchor. This binary condition helps classify whether the regime is structurally bullish or bearish.
ADX (Average Directional Index) : A momentum oscillator measuring trend strength. When ADX is above 25, the market is considered to have sufficient momentum to support regime classification as trending. Below 25 suggests choppy or non-directional conditions (consolidation).
Session Box (Asia Only) : A visual range overlay drawn for the Asia session (8:00 PM–12:00 AM), highlighting the consolidation zone that often precedes major market expansion. This box is rendered with customizable opacity and provides a structural reference for overnight price action.
Fib Extension Mode : Determines how deviation lines project forward in time. Options include extending right indefinitely, extending a fixed number of bars, or stopping at the session reference point. This allows traders to declutter charts or maintain persistent levels based on their analytical preference.
Description
At its core, Session Standard Deviation⁺ operates on a two-layer framework: structural deviation mapping and dynamic regime classification. Each qualifying session creates a full matrix of Fibonacci-based price levels, calculated from the session's confirmed high and low. These levels remain active and extend forward until the next session triggers, providing persistent reference zones for intraday price delivery.
The tool does not account for partial moves or wick-based touches. Deviation levels are drawn as horizontal lines and remain static once plotted. Labels are positioned to the left of each line by default, displaying the session prefix (LON, ASIA, PRE, NYAM) alongside the deviation multiplier. All labels use a minimal style with no background fill, ensuring clean visual hierarchy.
The regime analysis operates independently and updates in real-time on each new bar. A table positioned in the top-right corner displays the current regime classification, live ATR value, and optional ADX strength. The table's background color shifts dynamically—green for bullish regimes, red for bearish regimes, and gray for consolidation—allowing traders to immediately assess whether session deviation zones should be interpreted as continuation targets or reversal areas.
The model remains active until the next session reference candle is detected, at which point a new set of deviation levels is generated. Older session levels are automatically cleaned up after 300 objects to prevent performance degradation on lower-timeframe charts.
Key Features
Multi-Session Structure : Track up to four distinct session types simultaneously—London (4:00 AM 1H candle), Asia (8:00 PM–12:00 AM range), New York 8:30 AM (5m candle), and New York 9:30 AM (5m candle). Each session generates its own color-coded deviation matrix, allowing traders to differentiate between overnight, pre-market, and intraday structural levels.
Extended Fibonacci Levels : The tool plots 26 unique deviation levels, including both standard and extended targets. Positive deviations (0 through 4.618) project above the session high, while negative deviations project below the session low. Each level can be toggled individually, enabling traders to focus only on the zones relevant to their strategy.
Real-Time Regime Classification : A live regime panel evaluates market conditions using ATR comparison (fast vs. slow), trend EMA positioning, and ADX strength. The regime updates on every bar and displays one of three states: "Reversal to Bullish" (trending up with high volatility), "Bias: Bearish (Hi-Vol)" (trending down with high volatility), or "Consolidating" (low directional conviction). This dynamic classification allows traders to interpret session fibs contextually rather than mechanically.
Customizable Color Coding : Each session type is assigned a unique color—purple for London, blue for Asia, and orange for New York pre-market candles. These colors carry through to both the deviation lines and their labels, maintaining visual consistency across timeframes and chart layouts.
Flexible Extension Controls : Choose how deviation lines project into the future. "Right N Bars" extends lines a fixed number of bars forward (default 50), "Right" extends indefinitely, and "None" stops extension at the session reference point. This flexibility allows traders to maintain clean charts on busy intraday timeframes while preserving structural context.
Minimal Label Design : Labels display session prefix and deviation multiplier (e.g., "LON 2.5" or "NYAM -0.618") with no background fill. Label placement can be toggled between left and right alignment, and padding is customizable to prevent overlap with price action.
Session-Specific Box Overlay : The Asia session (8:00 PM–12:00 AM) is rendered as a semi-transparent box spanning its high and low range. This visual aid helps traders identify the overnight consolidation zone and anticipate expansion moves during London or New York open.
Timezone Awareness : All session detections are timezone-aware and default to America/New_York. Traders can customize the timezone input to align with their broker's server time or preferred regional standard.
Regime Panel Display : The top-right table shows the indicator name, current regime state, live ATR value, and optional ADX reading. The panel's background color shifts with regime changes, providing instant visual feedback without requiring interpretation of numeric values.
Memory Management : The tool automatically deletes lines and labels after 300 objects are created, preventing performance issues on lower timeframes while maintaining enough historical context for multi-session analysis.
How Traders Can Use the Indicator Effectively
Session Standard Deviation⁺ is not a signal generator or automated trading system. It is best used as a visual reference framework for understanding where price may seek liquidity based on session expansion logic and how current volatility conditions contextualize those projections. The tool excels as a companion for:
- Mapping session-based expansion targets and retracement zones for ICT-style price delivery analysis
- Differentiating between low-probability and high-probability deviation zones based on regime classification
- Journaling and reviewing which session structures produce the cleanest reactions across different market conditions
- Identifying when price is respecting session fibs as continuation levels (trending regime) versus when deviation zones may act as exhaustion points (consolidation regime)
Traders using the tool should be familiar with session-based analysis, Fibonacci extension logic, and the role of volatility in price delivery. The indicator is most effective when combined with narrative, higher-timeframe structure, and discretionary interpretation of regime shifts.
Usage Guidance
1. Add Session Standard Deviation⁺ to any TradingView chart. This is a fractal tool and can be applied across any timeframe or liquid instrument.
2. Configure which sessions you want to track using the input toggles. Disable sessions that are not relevant to your trading hours or strategy.
3. Use the regime panel to assess whether the current market environment supports continuation into higher deviation levels (trending regime) or whether deviation zones are more likely to act as reversal points (consolidation regime).
4. Reference session deviation lines as structural zones for limit orders, stop placement, or target setting. Combine these levels with your own narrative and higher-timeframe bias to determine which zones carry the highest probability of reaction.
5. Adjust label placement, line width, and extension mode to match your visual preferences and chart timeframe. Lower timeframes (1m–5m) often benefit from shorter extension lengths, while higher timeframes (15m–1H) may prefer persistent lines.
6. Review how price interacts with session fibs across different regime classifications. Over time, you'll develop discretion for which deviation levels are most respected during specific market conditions.
Session Standard Deviation⁺ provides the structural scaffolding and environmental context for informed intraday decision-making. Use it as a lens—not a crutch—for navigating session-based price delivery.
Quarterly Theory - Daily CyclesQuarterly Theory - Daily Cycles
Automatically divides the trading day into four 6-hour quarters based on Quarterly Theory:
Q1: 6pm - 12am (midnight)
Q2: 12am - 6am
Q3: 6am - 12pm (noon)
Q4: 12pm - 6pm
Features shaded boxes for each quarter, vertical divider lines at quarter boundaries, and clear labels. Resets daily at 6pm. Fully customizable colors, borders, and display options.
~ The OracleCandle Identification Assistant 3000
Daily Candles M T W T F
Current Week
4h Candles 18 22 2 6 10 14
Current Week
Current Day (only reason i made it tbh)
enjoy
my EMA/SMA/RSI Scanner (Extended Hours)theis is my ema rider script it is following the emas rider strategy and fires an alert
Anurag BN / Nifty Swing Master [FINAL - Clean Compile]This script is a complete Swing Trading System designed for Bank Nifty and Nifty 50 options. It operates directly on the Spot/Index chart but mathematically calculates the correct Option Strike (ATM/ITM) and estimates P&L in Rupees.
It uses a Non-Repainting Daily Trend Filter combined with an Intraday Entry Trigger to find high-probability setups.
What we are checking before giving a signal:
For a CALL Option (Buy Signal):
Daily Trend Alignment: The previous day's Daily EMA must be below the current price (indicating a Bullish macro trend).
Intraday Crossover: The price must cross above the Intraday 20 EMA (the entry trigger).
Volume Confirmation: (Optional) Volume must be higher than the 20-period Volume Moving Average to ensure momentum.
Session Filter: The trade must occur within the specified trading hours (09:15 - 15:00) to avoid opening/closing volatility.
For a PUT Option (Sell Signal):
Daily Trend Alignment: The previous day's Daily EMA must be above the current price (indicating a Bearish macro trend).
Intraday Crossunder: The price must cross below the Intraday 20 EMA (the entry trigger).
Volume Confirmation: (Optional) Volume must be higher than the 20-period Volume Moving Average.
Session Filter: The trade must occur within the specified trading hours.
Key Features:
Strike Selection: Automatically displays the correct ATM/ITM Strike (e.g., "BUY 48200 CE").
Live Dashboard: Shows Real-time P&L (in Points and ₹), Entry Price, Strike, and Trade Status.
Risk Management: Plots fixed Stop Loss (1.5x ATR) and Target (2x Risk) lines on the chart that do not move during the trade.
Auto-Breakeven: Optionally moves Stop Loss to entry price after the trade moves 1R in profit.
Master Crypto Overlay [R2D2]The Gemini Master Crypto Overlay: User Guide
1. Introduction
The Gemini Master Crypto Overlay is a professional-grade TradingView script designed to consolidate six powerful institutional indicators into a single, clean "heads-up display" (HUD).
Instead of cluttering your chart with multiple sub-windows (which shrinks your view of the price), this script uses smart overlays and a data dashboard to provide actionable data instantly. It is optimized for the Daily timeframe as requested, but functions on all timeframes.
Included Indicators:
Ichimoku Cloud: Identifies the primary trend and support/resistance zones.
MACD (Custom Crypto Settings): Optimized (3-10-16) for catching fast crypto moves.
WaveTrend Oscillator: Visual signals for Overbought/Oversold entries.
Supertrend: A trailing stop-loss line to keep you in profitable trades.
Ultimate RSI (MTF): Multi-timeframe analysis to ensure you are trading with the higher trend.
Volume Reference (VWAP): An on-chart proxy for Volume Profile to spot fair value.
2. Installation Instructions
Step 1: Open Pine Editor
Launch your chart on TradingView.
At the bottom of the screen, click the tab labeled Pine Editor.
Step 2: Paste the Code
Delete any text currently in the editor window.
Copy the code block at the bottom of this response.
Paste it into the editor.
Step 3: Save and Add
Click "Save" (top right of the editor) and name it "Master Crypto Overlay".
Click "Add to chart".
Note: You may hide the "Pine Editor" panel now by clicking the arrow at the bottom center of the screen.
3. How to Use the Interface
The script is designed to be intuitive. Here is what you are looking at:
A. The Dashboard (Bottom Right)
This is your "Confluence Checker." It summarizes the status of the major indicators in real-time.
GREEN: Bullish (Buy/Hold)
RED: Bearish (Sell/Short)
GRAY: Neutral/Choppy (Stay out)
Pro Tip: Do not enter a trade unless at least 3 out of 4 signals on the dashboard match your direction.
B. On-Chart Signals
Clouds (Red/Green): If the cloud is Green and rising, only look for Long trades. If Red, only look for Short trades.
Supertrend Line: This continuous line trails the price. If price is above it (Green line), you are safe. If price closes below it, the trend has reversed.
MACD Labels: Small "MACD" text appears when momentum flips.
WaveTrend Circles:
Blue Circle (Bottom): Price is "Oversold." Good time to buy if the trend is up.
Orange Circle (Top): Price is "Overbought." Good time to take profit.
4. Strategy: Maximizing Trading Returns
To make money with this script, you need a rule-based system. Do not just blindly click when you see a label. Use this "Trend & Trigger" strategy:
The "Golden Entry" (High Probability Long)
Trend Check: Ensure price is ABOVE the Ichimoku Cloud.
Dashboard Check: Verify the RSI Status says "BULL (>50)".
The Trigger: Wait for a pullback where price touches the Supertrend Line (Green) or the top of the Cloud.
The Entry: Enter the trade when a Blue WaveTrend Circle appears OR a MACD Buy Label prints.
Stop Loss: Place your stop loss slightly below the Supertrend line.
The "Exit Strategy" (Protecting Profits)
Conservative: Sell half your position when an Orange WaveTrend Circle appears.
Trend Follower: Hold the rest of your position until the Supertrend Line turns RED.
Volume HistogramShows volume as Histogram, so it's still readable while RVol bars are shown behind in the same pane.
I want to see both because:
Relative volume indicates higher activity than usual
Absolute volume helps with "Volume Price Analysis"
This is meant to be used for 5m, 15m, 30m, 1w charts.
For 1d charts I recommend Volume Auto fit though, since RVol can be gigantic there sometimes.
MU CHAI [Platinum Logic + Labels]MU CHAI
This script is developed as a technical analysis assistance tool designed to identify potential trade setups using advanced volatility and trend logic. It aims to streamline the analysis process by visualizing market structure and risk management parameters.
Key Features:
📊 Trend Analysis: Identifies potential Long & Short scenarios based on market momentum.
📐 Risk Management: Automatically calculates a recommended Stop Loss (SL) based on market volatility (ATR) and Trend Strength (ADX) to adapt to changing market conditions.
🎯 Reward Planning: Projects a Take Profit (TP1) level at a 1.5 Risk-to-Reward ratio relative to the dynamic SL.
🧲 Liquidity Zones (Magnet): Highlights potential price targets based on pivot structures and historical liquidity areas.
⚠️ IMPORTANT DISCLAIMER:
For Educational Purposes Only: This indicator is strictly a tool for technical analysis and educational use. It is NOT a signal service or a "get rich quick" scheme.
No Financial Advice: The information provided by this script does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any assets.
Risk Warning: Trading financial markets (especially Gold/XAUUSD) involves a high level of risk and may not be suitable for all investors. You could lose some or all of your invested capital.
No Guarantees: Past performance of this indicator does not guarantee future results. Market conditions can change rapidly.
User Responsibility: All trading decisions are made solely by the user. The author assumes no liability for any losses incurred while using this tool.
[ElThibZ] - Futures Lot Size CalculatorI’m sharing a simple script to calculate position size for futures.
You only need to enter:
the risk in USD you’re willing to take
the stop-loss distance in ticks
The script will automatically calculate the correct position size (number of contracts) and display it in the table.
This tool is designed to avoid sizing mistakes, especially on futures where contract multipliers and tick values can easily lead to incorrect risk calculations.
I hope it will be as useful to you as it has been for me.
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
MU CHAI [Platinum Logic System]TITAN CAPITALTH
This script is developed as a technical analysis assistance tool designed to identify potential trade setups using advanced volatility and trend logic. It aims to streamline the analysis process by visualizing market structure and risk management parameters.
Key Features:
📊 Trend Analysis: Identifies potential Long & Short scenarios based on market momentum.
📐 Risk Management: Automatically calculates a recommended Stop Loss (SL) based on market volatility (ATR) and Trend Strength (ADX) to adapt to changing market conditions.
🎯 Reward Planning: Projects a Take Profit (TP1) level at a 1.5 Risk-to-Reward ratio relative to the dynamic SL.
🧲 Liquidity Zones (Magnet): Highlights potential price targets based on pivot structures and historical liquidity areas.
⚠️ IMPORTANT DISCLAIMER:
For Educational Purposes Only: This indicator is strictly a tool for technical analysis and educational use. It is NOT a signal service or a "get rich quick" scheme.
No Financial Advice: The information provided by this script does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any assets.
Risk Warning: Trading financial markets (especially Gold/XAUUSD) involves a high level of risk and may not be suitable for all investors. You could lose some or all of your invested capital.
No Guarantees: Past performance of this indicator does not guarantee future results. Market conditions can change rapidly.
User Responsibility: All trading decisions are made solely by the user. The author assumes no liability for any losses incurred while using this tool.
MAX Trend Weekly: EUR/USD 2H Optimized StrategyMAX Trend Weekly is a systematic trading strategy based on the confluence between long-term trend and short-term momentum. This specific version has been optimized for the EUR/USD pair with a 2-hour (2H) operational timeframe.
📈 Trading Logic
The strategy is designed to operate long-only, exploiting pullbacks within a bullish market. It is built on three pillars:
Multi-Timeframe Analysis (MTF):
All trades are filtered through the Weekly EMA 20. Entries are allowed only if price on the 2H chart is above the weekly average, ensuring a strong bullish bias.
Pivot Support Detection:
Uses Pivot Lows (structural lows from the last 5 days) to identify key support areas where price is likely to bounce.
Oversold Filter (RSI):
To ensure favorable entry prices, RSI (14) must be below 45, avoiding entries during overbought, euphoric phases.
⚙️ Optimized Configuration (EUR/USD 2H)
Default parameters are calibrated for the typical volatility of EUR/USD on the 2-hour chart:
Signal Timeframe: 2 Hours
Filter Timeframe: Weekly
Exit Management: Includes 1.0% Take Profit and Stop Loss, supported by a dynamic Trailing Stop that activates early (0.3%) to protect capital against sudden Forex reversals.
GMN Divergence V.4User Manual: GMN Divergence V.1 (Hunter Edition)
Overview The GMN Divergence V.2 indicator is designed to identify Reversal points and Continuation points. It utilizes multi-layer signal filtering to ensure maximum accuracy, making it suitable for both Scalping and Swing Trading.
1. PRO FILTERS (Smart Signal Filtering)
This section filters Divergence signals to reduce False Signals.
Mechanism:
Time Filter: The system counts the number of candlesticks after the price touches the Premium or Discount zones. If the signal appears too late (momentum has faded), the system will not display it.
Slope Filter: Checks the slope of the RSI to ensure there is a sufficiently sharp reversal.
Settings:
Enable Time Window: Select "True" to enable.
Must occur within (bars): Recommended value: 10-15 bars (any longer is considered too late).
Enable RSI Slope: Select "True" to enable.
Min Slope: Recommended value: 2.0 (Higher values result in fewer but more accurate signals).
2. ALERT SETTINGS
Used to connect with the TradingView Alert system for mobile or email notifications.
Settings:
Enable Divergence Alert: Alerts when Regular Divergence occurs (BULL+/BEAR+).
Enable Hidden Divergence Alert: Alerts when Hidden Divergence occurs (H-BULL/H-BEAR).
Enable Zone Entry Alert: Alerts when price touches the Premium or Discount lines.
3. EMA SQUAD (4 Moving Averages)
A set of Moving Average lines to determine the main trend, support, and resistance.
Mechanism:
EMA 20 (Red): Short-term trend.
EMA 50 (Yellow): Medium-term trend.
EMA 100 (Green): Long-term trend.
EMA 200 (Blue): Main trend divider (Uptrend/Downtrend).
Settings:
Enable All EMAs: Check to display lines on the chart.
4. TREND BIAS SETTINGS (H1 Trend Compass)
Identifies trend direction based on the 1-Hour (H1) Timeframe to control trading direction.
Mechanism:
System checks conditions in H1: Price is above EMA 50 and RSI is greater than 50.
BULLISH (Green): Bull Market (Focus on Buy).
BEARISH (Red): Bear Market (Focus on Sell).
Settings:
Enable H1 Trend Bias: Select to calculate and display on the Dashboard.
5. AUTO FIBONACCI (Natural Support/Resistance)
Automatically draws Fibonacci Retracement lines based on recent Highs and Lows.
Mechanism:
Gold Line (0.618): The "Golden Pocket," representing the point with the highest reversal probability.
Grey Lines: Standard Fibonacci levels (0.236, 0.382, 0.5, 0.786).
Settings:
Enable Auto Fibo: Must select "True" to display lines.
Fibo Lookback: Recommended value: 24 (Lookback period to find peaks).
6. PDE PERCENTAGE LINES (Valuation Zones)
Statistical price channels to indicate whether the current price is cheap or expensive.
Mechanism:
Premium Zone (Orange Dashed Line): Top zone (90%) = Expensive (Focus on Sell opportunities).
Equilibrium (Grey Solid Line): Middle zone (50%) = Average/Fair price.
Discount Zone (Green Dashed Line): Bottom zone (10%) = Cheap (Focus on Buy opportunities).
Settings:
Lookback Length: Recommended value: 100.
7. DIVERGENCE SETTING (Reversal Settings)
The main section for calculating Reversal Signals.
Mechanism:
Bullish Divergence (BULL+): Price makes a Lower Low, but RSI makes a Higher Low.
Bearish Divergence (BEAR+): Price makes a Higher High, but RSI makes a Lower High.
(Uses RSI 14 for calculation to ensure accuracy).
Settings:
RSI Length: 14
Pivot Left / Right: 6 / 1 (Standard values for short-to-medium term trading).
Lookback Range: 45
8. HIDDEN DIVERGENCE (Trend Continuation Settings)
Calculates signals to trade with the existing trend (Trend Continuation).
Mechanism:
H-BULL (Teal): Occurs in an Uptrend. Price dips, but RSI dips lower = Buy the Dip.
H-BEAR (Maroon): Occurs in a Downtrend. Price bounces, but RSI bounces higher = Sell the Bounce.
Settings:
Enable Hidden Divergence: Check to display signals.
9. WHALE ACTIVITY (Volume Analysis)
Detects anomalies in Volume and Candle Size (VSA - Volume Spread Analysis).
Mechanism:
Displays a "Purple X" symbol under the candlestick.
Condition: Occurs when Volume is 1.5x higher than normal, but the candle size is abnormally small.
Meaning: Watch out for a potential Reversal or Accumulation by big players (Whales).
Settings:
Vol Factor: Recommended value: 1.5.
10. DASHBOARD (Market Data)
A summary table of market status located at the top right corner of the chart.
How to read:
GMN Hunter: Displays Divergence status in other Timeframes (1M, 5M, 15M, 1H).
H1 Trend Bias: Main trend direction (Bullish/Bearish).
ADX: Trend Strength (>25 = Trending, <25 = Sideways).
RSI (14): Current RSI value.
Stoch (9, 3, 3): Fast Stochastic value (used for short-term swing cycles).
ATR: Average Volatility (used for setting Stop Loss).
Disclaimer: No indicator is 100% accurate. This tool is designed to assist in analysis and alert opportunities only. Users should apply Money Management and set a Stop Loss for every trade.
rsi stochrsi macd Divergence demend supportHere's the detailed description of the features you're looking for, translated into English:
This system would find divergences between the price and selected indicators and overlay them directly onto the chart.
Additionally, it would identify and display support and resistance lines. It would also compare oscillator values that occurred just before these support and resistance lines to highlight potential divergences in the price and values of the ongoing bar directly on the support and resistance levels.
A table below the chart would display the candle pattern of the candle immediately preceding each ongoing candle. It would also show the trend status of a Hidden Divergence Trend Filter. This Hidden Divergence Trend Filter could be applied across multiple timeframes. The table would include the name of the selected trend filter and the applied multiple timeframes.
Furthermore, the candles would be displayed differently based on their trading volume: specifically, at 200%, 150%, or 0% relative to a baseline.
AurumEdgeAurumEdge is a rules-based Gold (XAUUSD) intraday swing trading strategy designed to deliver precision entries while maintaining structure, discipline, and consistency.
The strategy focuses on objective market conditions to identify high-probability swing setups without reliance on discretion or emotional decision-making.
🔹 Who This Script Is For
Active Gold traders seeking precision-based intraday setups
Traders who prefer rules over discretion
Those looking for a structured approach on lower timeframes
Traders aiming to reduce emotional and impulsive trades
🔹 Key Features
Clearly plotted Buy & Sell signals
Visual Take Profit levels
Optional Trailing Stop logic for trade management
Designed specifically for Gold (XAUUSD)
Intraday swing logic (not rapid-fire scalping)
Objective, rules-based execution
Logical trade invalidation framework
Optional real-time alerts for hands-free monitoring
Automation-ready — can be connected via TradingView alerts to supported CFD brokers (e.g. Exness, Vantage) using third-party automation tools
🔹How This Strategy Works
This strategy is designed for Gold (XAUUSD) and operates on a lower-timeframe, intraday swing structure.
It combines trend alignment, market structure confirmation, and price imbalance detection to identify high-probability trade opportunities:
Trend Direction
A moving-average based trend filter ensures trades are only taken in the prevailing short-term direction, with additional strength requirements to avoid weak or ranging conditions.
Setup Identification
The script scans recent price action for significant price imbalances and requires a confirmed break of structure before allowing an entry. This helps filter out low-quality or premature trades.
Volatility Filtering
Trades are avoided during unfavorable volatility conditions, and positions may be exited early if volatility expands beyond predefined limits.
Trade Management
Each trade includes structured management with visual take-profit levels, percentage-based stop loss, and an optional trailing stop that activates once price moves in favor of the position.
The strategy is fully rules-based and designed to prioritize selective, controlled intraday swing trades rather than constant market exposure.
🔹 How to Use
Apply the script to XAUUSD
Follow plotted entries, take profit levels, and trailing logic
Always apply proper position sizing and risk management
🔧 Optimized Configuration
This script includes adjustable parameters to allow flexibility across varying market conditions.
To protect the integrity of the strategy and avoid over-optimization, officially tested and optimized settings are provided exclusively to active subscribers after access is granted.
Default settings are conservative and intended for evaluation and familiarization purposes. Subscribers receive the recommended configuration used for live trading, along with usage and risk guidelines.
⚠️ Important Notes
No strategy wins all the time
Losing trades and drawdowns are part of trading
Risk management is essential
Past performance does not guarantee future results
⚠️ Disclaimer
This script is provided for educational purposes only and does not constitute financial advice. Trading involves risk, and users are fully responsible for their own trading decisions and risk management.
TEZ COMMUNITY TESTPHASE# TEZ COMMUNITY TESTPHASE
## Overview
TEZ is a trend-following indicator based on Moving Average crossovers with advanced filtering mechanisms. It generates BUY/SELL signals when fast and slow MAs cross, but only after validating the signal against multiple filters to reduce false entries.
**Key Features:**
- MA Cross signals with swing validation
- Magnet Zone logic for optimal entry timing
- Re-entry system after stop-loss
- Built-in backtesting with PnL tracking
- Multiple trend filters (Big Trend + Local Trend)
---
## How It Works
### Signal Generation
1. **Cross Detection:** Fast MA crosses Slow MA
2. **Swing Validation:** Price must be near a swing high/low
3. **Trend Filter:** Signal direction should align with trend (configurable)
4. **Entry Mode:** Based on distance to Trend MA, the indicator chooses:
- **SOFORT (Immediate):** Far from trend → Enter immediately
- **ATTENTION:** In magnet zone → Wait for confirmation candle
- **WAIT_FOR_TREND:** Outside magnet zone → Wait for price to return to trend
### Entry Modes Explained
| Mode | Distance to Trend MA | Entry Timing |
|------|---------------------|--------------|
| SOFORT | > Swing Distance % | Next candle at Open |
| ATTENTION | ≤ Magnet Zone % | After confirmation in zone |
| WAIT_FOR_TREND | Between Magnet & Swing | When price returns to zone |
---
## Settings Guide
### 📊 Signal MAs (Fast/Slow MA)
| Setting | Default | Description |
|---------|---------|-------------|
| **Source** | Close | Price source for MA calculation |
| **Fast MA Type** | HMA | Type of fast moving average (SMA/EMA/WMA/HMA) |
| **Fast MA Length** | 20 | Period for fast MA |
| **Slow MA Type** | HMA | Type of slow moving average |
| **Slow MA Length** | 50 | Period for slow MA |
**Tip:** HMA (Hull MA) is recommended for faster response with less lag.
---
### 📈 Swing / Movement
| Setting | Default | Description |
|---------|---------|-------------|
| **Swing Lookback (Bars)** | 20 | How many bars to look back for swing high/low |
| **Swing Threshold %** | 0.0 | Minimum % distance from swing to validate signal |
| **Max Bars Beyond Threshold** | 5 | Max bars price can stay beyond threshold before signal invalidates |
| **Min Move % before TP** | 1.0 | Minimum favorable move before take-profit activates |
| **Stop-Loss Active** | true | Enable/disable stop-loss |
---
### 🧲 Entry Mode Settings
| Setting | Default | Description |
|---------|---------|-------------|
| **Magnet Zone %** | 0.5 | Zone around Trend MA considered "at trend" |
| **Max SL %** | 0.5 | Maximum stop-loss distance from entry |
| **Swing Distance %** | 2.0 | Distance from Trend MA to classify as "swing" (far from trend) |
**How Entry Modes Work:**
```
Price Distance from Trend MA:
├── > 2.0% (Swing Distance) → SOFORT (immediate entry)
├── 0.5% - 2.0% → WAIT_FOR_TREND
└── ≤ 0.5% (Magnet Zone) → ATTENTION (wait for confirmation)
```
---
### 🚫 Range Filter
| Setting | Default | Description |
|---------|---------|-------------|
| **Min Swing Distance % (Range Filter)** | 0.5 | Minimum swing size to avoid ranging markets |
**Purpose:** Filters out signals when swing highs and lows are too close together (sideways/ranging market).
---
### 💰 Backtest Parameters
| Setting | Default | Description |
|---------|---------|-------------|
| **Start Capital** | 2000 | Initial capital for PnL calculation |
| **Fee per Trade (%)** | 0.05 | Round-trip trading fee |
| **Slippage per Entry/Exit (%)** | 0.0 | Simulated slippage |
---
### 🎨 Display & Colors
| Setting | Default | Description |
|---------|---------|-------------|
| **Show Labels** | true | Display BUY/SELL/TP/SL labels |
| **Show Signal MAs** | true | Display Fast & Slow MA lines |
| **Show Trend MA** | true | Display the big Trend MA |
| **Color Potential Cross Candles** | true | Highlight candles where cross might occur |
| **Potential Bars after Far Swing** | 3 | Bars to show potential entry after swing signal |
**Candle Colors:**
- 🟢 **Green:** BUY signal / Confirmed BUY
- 🔴 **Red:** SELL signal / Confirmed SELL
- 🟡 **Yellow:** EXIT (counter-cross)
- 🟣 **Purple:** Invalidation
- 🟠 **Orange:** RANGE (filtered out)
- ⚪ **Silver:** Far from swing (potential)
---
### 🔄 Flip Behavior
| Setting | Default | Description |
|---------|---------|-------------|
| **Allow Flip after EXIT** | false | Allow immediate reversal after exit |
| **Flip only from next candle** | true | If flip allowed, wait for next candle |
---
### ⚠️ Invalidation Guard
| Setting | Default | Description |
|---------|---------|-------------|
| **Entry Invalidation by MA Order** | true | Cancel entry if MAs cross back |
| **Protection Duration (Bars)** | 1 | Bars after entry where invalidation is blocked |
| **Show Invalidation** | true | Display purple INV markers |
---
### 📊 Trend Settings (Big Trend MA)
| Setting | Default | Description |
|---------|---------|-------------|
| **Use Trend Info** | true | Enable trend filtering |
| **Trend MA Type** | HMA | Type of trend MA |
| **Trend MA Length** | 100 | Period for trend MA |
| **Trend Lookback for Angle** | 2 | Bars to calculate trend angle |
| **Trend Angle Threshold (Deg)** | 15.0 | Minimum angle to classify as trending |
**Trend Filter Modes:**
- **Off:** No trend filtering
- **Strict:** Only allow signals in trend direction
- **Smart:** Allow counter-trend near reversals
---
### 📈 Local Trend Settings
| Setting | Default | Description |
|---------|---------|-------------|
| **Local Trend MA Type** | HMA | Type of local trend MA |
| **Local Trend MA Length** | 30 | Shorter period for local trend |
| **Local Trend Angle Threshold** | 5.0 | Lower threshold for local trend |
| **Show Local Trend MA** | true | Display local trend line |
---
### 📉 Trend Visualization
| Setting | Default | Description |
|---------|---------|-------------|
| **Show Trend Background** | true | Color background based on trend |
| **BG Uptrend** | Light Green | Background color in uptrend |
| **BG Downtrend** | Light Red | Background color in downtrend |
---
### 📊 Stats Panel
| Setting | Default | Description |
|---------|---------|-------------|
| **Stats Lookback (Bars)** | 2190 | Bars for statistics calculation (~6 months on 4H) |
| **Max Confirmation Candles** | 5 | Max candles to wait for confirmation in magnet zone |
---
## Signal Labels
| Label | Meaning |
|-------|---------|
| **BUY** | Long entry signal |
| **SELL** | Short entry signal |
| **BUY WAIT** | Waiting for confirmation (long) |
| **SELL WAIT** | Waiting for confirmation (short) |
| **REBUY WAIT** | Re-entry preparation (long) |
| **RESELL WAIT** | Re-entry preparation (short) |
| **REBUY** | Re-entry after SL (long) |
| **RESELL** | Re-entry after SL (short) |
| **TP** | Take-profit reached |
| **SL** | Stop-loss hit |
| **EXIT** | Exit by counter-cross |
| **INV** | Invalidated signal |
| **RANGE** | Filtered (ranging market) |
| **X** | Against trend |
---
## Stats Panel (Bottom Right)
| Stat | Description |
|------|-------------|
| **Trades (Window)** | Number of trades in lookback period |
| **Win Rate %** | Percentage of winning trades |
| **Total PnL %** | Cumulative profit/loss |
| **End Capital** | Final capital after all trades |
| **Last Signal** | Most recent signal type |
| **Trend (Big)** | Current big trend direction + angle |
| **LocalTrend (Deg)** | Current local trend angle |
---
## Recommended Settings by Timeframe
### 4H (Default)
- Fast MA: 20, Slow MA: 50, Trend MA: 100
- Magnet Zone: 0.5%, Swing Distance: 2.0%
- Stats Lookback: 2190 bars
### 1H
- Fast MA: 20, Slow MA: 50, Trend MA: 100
- Magnet Zone: 0.3%, Swing Distance: 1.5%
- Stats Lookback: 4380 bars
### Daily
- Fast MA: 10, Slow MA: 25, Trend MA: 50
- Magnet Zone: 1.0%, Swing Distance: 3.0%
- Stats Lookback: 365 bars
---
## Alerts Available
- BUY / SELL
- REBUY WAIT / RESELL WAIT (preparation alert)
- REBUY / RESELL
- SL / TP HIT / EXIT
- CROSS BUY live / CROSS SELL live
---
## Important Notes
⚠️ **This indicator is for educational purposes only. Always do your own research and manage your risk appropriately.**
- Past performance does not guarantee future results
- Backtest results may differ from live trading
- Always use proper position sizing and risk management
- Test on demo account before live trading
---
## Version
**TEZ COMMUNITY TESTPHASE**
Based on TEZ TRUE INDICATOR v20.4
Created by TEZ
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.
EMA Slope Checker CareExtendedEMA 50 Slope > +0.10 = Uptrend (long bias)
EMA 50 Slope < -0.10 = Downtrend (short bias)
All 3 positive = Strong bullish alignment
Mixed directions = Conflict (avoid or reduce size)






















