Top Finder & Dip Hunter [BackQuant]Top Finder & Dip Hunter
A practical tool to map where price is statistically most likely to exhaust or mean-revert. It builds objective support for dips and resistance for tops from multiple methodologies, then filters raw touches with volume, momentum, trend, and price-action context to surface higher-quality reversal opportunities.
What this does
Draws a Dip Support line and a Top Resistance line using the method you select, or a blended hybrid.
Evaluates each touch/penetration against Quality Filters and assigns a 0–100 composite score.
Prints clean DIP and TOP signals only when depth/extension and quality pass your thresholds.
Optionally annotates the chart with the computed quality score at signal time.
Why it’s useful
Objectivity: Converts vague “looks extended” into rules, reduces discretion creep.
Signal hygiene: Filters raw touches using trend, volume, momentum, and candle structure to avoid obvious traps.
Adaptable regimes: Switch methods, sensitivity, and lookbacks to match choppy vs trending conditions.
How support and resistance are built
Pick one per side, or use “Hybrid.”
Dynamic: Anchors to the extreme of a lookback window, padded by recent ATR, so buffers expand in volatile periods and contract when calm.
Fibonacci: Uses the 0.618/0.786 retracement pair inside the current swing window to target common reaction zones.
Volatility: Uses a moving-average basis with standard-deviation bands to capture statistically stretched moves.
Volume-Weighted: Centers off VWAP and penalizes deviations using dispersion of price around VWAP, helpful on intraday instruments.
Hybrid: A weighted average of the above to smooth out single-method biases.
When a touch becomes a signal
Depth/extension test:
Dips must penetrate their support by at least Min Dip Depth % .
Tops must extend above resistance by at least Min Top Rise % .
Quality Score gate: The composite must clear Min Quality Score . Components:
Trend alignment: Favor dips in bullish regimes and tops in bearish regimes using EMAs and RSI.
Volume confirmation: Reward expansion or spikes versus a 20-period baseline.
RSI context: Prefer oversold for dips, overbought for tops.
Momentum shift: Look for short-term momentum turning in the expected direction.
Candle structure: Reward hammer/shooting-star style responses at the level.
How to use it
Pick your regime:
Range/chop, small caps, mean-revert intraday → Volatility or Volume Weighted .
Cleaner swings/trends → Dynamic or Fibonacci .
Unsure or mixed conditions → Hybrid .
Set windows: Start with Lookback = 50 for both sides. Increase in higher timeframes or slow assets, decrease for fast scalps.
Tune sensitivity: Raise Dip/Top Sensitivity to widen buffers and reduce noise. Lower to be more aggressive.
Gate with quality: Begin with Min Quality Score = 60 . Push to 70–80 for cleaner swing entries, relax to 50–60 for scalps.
Act on first prints: The script only fires on new qualified events. Use the score label to prioritize A-setups.
Typical workflows
Intraday futures/crypto: Volume-Weighted or Volatility methods for both sides, higher Sensitivity , require Volume Filter and Momentum Filter on. Look for DIP during opening drive exhaustion and TOP near late-session fatigue.
Swing equities/FX: Dynamic or Fibonacci with moderate sensitivity. Keep Trend Filter on to only take dips above the 200-EMA and tops below it.
Countertrend scouts: Lower Min Dip Depth % / Min Top Rise % slightly, but raise Min Quality Score to compensate.
Reading the chart
Lines: “Dip Support” and “Top Resistance” are the current actionable rails, lightly smoothed to reduce flicker.
Signals: “DIP” prints below bars when a qualified dip appears, “TOP” prints above for qualified tops.
Scores: Optional labels show the composite at signal time. Favor higher numbers, especially when aligned with higher-timeframe trend.
Background hints: Light highlights mark raw touches meeting depth/extension, even if they fail quality. Treat these as early warnings.
Tuning tips
If you get too many false DIP signals in downtrends, raise Min Dip Depth % and keep Trend Filter on.
If tops appear late in squeezes, lower Top Sensitivity slightly or switch top side to Fibonacci .
On assets with erratic volume, prefer Volatility or Dynamic methods and down-weight the Volume Filter .
For strict systems, increase Min Quality Score and require both Volume and Momentum filters.
What this is not
It is not a blind reversal signal. It’s a structured context tool. Combine with your risk plan and higher-timeframe map.
It is not a guarantee of mean reversion. In strong trends, expect fewer, higher-score opportunities and respect invalidation quickly.
Suggested presets
Scalp preset: Lookback 30–40, Sensitivity 1.2–1.5, Quality ≥ 55, Volume & Momentum filters ON.
Swing preset: Lookback 75–100, Sensitivity 1.0–1.2, Quality ≥ 70, Trend & Volume filters ON.
Chop preset: Volatility/Volume-Weighted methods, Quality ≥ 60, Momentum filter ON, RSI emphasis.
Input quick reference
Dip/Top Method: Choose the model for each side or “Hybrid” to blend.
Lookback: Swing window the levels are built from.
Sensitivity: Scales volatility padding around levels.
Min Dip Depth % / Min Top Rise %: Minimum breach/extension to qualify.
Quality Filters: Trend, Volume, Momentum toggles, plus Min Quality Score gate.
Visuals: Colors and whether to print score labels.
Best practices
Map higher-timeframe trend first, then act on lower-timeframe DIP/TOP in the trend’s favor.
Use the score as triage. Skip mediocre prints into news or at session open unless score is exceptional.
Pre-define stop placement relative to the level you used. If a DIP fails, exit on loss of structure rather than waiting for the next print.
Bottom line: Top Finder & Dip Hunter codifies where reversals are most defensible and only flags the ones with supportive context. Tune the method and filters to your market, then let the score keep your playbook disciplined.
Candlestick analysis
Aroon with RSI Confirmation (92.86%)This script is an analytical tool designed to identify moments in market behavior when price momentum is shifting. It does this by combining two concepts: **Aroon Levels** (to measure trend maturity) and **RSI Slope Behavior** (to measure short-term momentum pressure).
**Functional Concept (Professional Description)**
The indicator examines when either the *Aroon Up* or *Aroon Down* value reaches approximately **92.86%**, which statistically represents a phase where price has recently made an extreme high or low relative to the selected period. This level suggests the trend is nearing a point of *decision*—either continuation or exhaustion.
At the same time, the script analyzes the **relationship between the RSI and its smoothed average**. The difference between the two reflects whether momentum is accelerating in the current direction or slowing. A small difference indicates **market stability**, while whether RSI is positioned above or below the smoothed line indicates **who has control**—buyers or sellers.
By requiring both conditions to align, the script filters out random noise and highlights moments where **trend structure and momentum sentiment converge**.
* **Buy Signal:** Occurs when the market has recently formed a significant low (Aroon Down ≈ 92.86) and buyers begin to regain control (RSI crosses above its smoothed value with low volatility).
* **Sell Signal:** Occurs when the market has recently reached a significant high (Aroon Up ≈ 92.86) and sellers begin to dominate (RSI slips below its smoothed value with low volatility).
---
**Psychological Interpretation**
Markets are driven by cycles of **attention**, **emotion**, and **participation**.
This script targets moments when:
1. **Price has made a meaningful extreme** (a recent new high or low).
This is where crowd sentiment is often strongest—either euphoria near highs or pessimism near lows.
2. **Traders are reassessing direction**, shown by momentum flattening (small RSI difference).
This reveals that participants are hesitating, watching, and waiting.
The market is effectively *thinking*.
3. **Control shifts subtly**, when RSI moves relative to its smoothed trend.
This indicates that early, informed participation is beginning to form—before the broader crowd reacts.
In psychological terms, the script highlights the **transitional turning points** where:
* Fear begins to weaken and confidence returns (buy setup), or
* Confidence begins to crumble and caution emerges (sell setup).
These are the earliest moments when market sentiment **changes hands**, often preceding visible trend reversals. The indicator is not reacting to outcomes—it is observing the underlying shift in **decision-making pressure** among market participants.
---
In essence, this tool identifies **behavioral inflection points**—where the market transitions from one emotional state to the next—providing traders with signals grounded in both structural trend positioning and real-time crowd momentum behavior.
Trend & Strength Detector TSDTrend Strength Detector (TSD)
*Objective Trend Quality Measurement for Educational Market Analysis*
Note: This mathematical framework is a proprietary quantitative model developed by Ario Pinelab, inspired by classical EMA, ADX, RSI and MACD principles, yet not documented in any public technical or academic publication.
## 🎯 Purpose & Design Philosophy
The ** Trend Strength Detector- TSD ** is an educational research tool that provides **quantitative measurement of trend quality** through two independent scoring systems (0-100 scale). It answers the analytical question: *"How strong and aligned is the current market trend environment?"*
This indicator is designed with a **modular, complementary approach** to work alongside various analysis methodologies, particularly pattern-based recognition systems.
## 🔗 Complementary Research Framework
### Designed to Work With Pattern Detection Systems
This indicator provides **environmental context measurement** that complements qualitative pattern recognition tools. It works particularly well alongside systems like:
- **RMBS Smart Detector - Multi-Factor Momentum System**
- Traditional chart pattern analyzers
- Any momentum-based pattern identification tools
🔍 **To find RMBS Smart Detector:**
- Search in TradingView Indicators Library: `" RMBS Smart Detector - Multi-Factor Momentum System"`
- Look for: *Multi-Factor Momentum System*
- By author: ` `
### Why This Complementary Approach?
**Trend Quality Measurement** (TSD - this tool) provides:
- ✅ Structural trend alignment (0-100 score)
- ✅ Momentum intensity levels (0-100 score)
- ✅ Environment classification (Strong/Moderate/Weak)
- 📌 **Answers:** *"HOW STRONG is the underlying trend environment?"*
### Educational Research Value
When used together in a research context, these tools enable systematic study of questions like:
- How do reversal patterns behave when Strength Score is above 70 vs below 30?
- Do continuation patterns in weakening environments (declining scores) show different characteristics?
- What is the correlation between high Alignment Scores and pattern "success rates"?
- Can environment classification help identify genuine trend initiation vs false starts?
⚠️ **Important Note:** Both tools are **independent and work standalone**. TSD provides value whether used alone or with other analysis methods. The relationship with RMBS (or any pattern tool) is **complementary for research purposes**, not dependent.
---
###Mathematical Foundation
##TSA Formula: scoring method developed by Ario
-Trend Model (0 – 100)
TAS = EMA Alignment (0–40) + Price Position (0–30) + Trend Consistency (0–30)
EMA Alignment checks EMA_fast vs EMA_slow vs EMA_trend structure.
Price Position evaluates if Close is above/below all EMAs.
Consistency = 3 × max(bullish,bearish bars within 10 candles).
-Strength Model (0 – 100)
Strength = ADX (0–50) + EMA Slope (0–25) + RSI (0–15) + MACD (0–10)
ADX measures trend energy; Slope shows EMA momentum %;
RSI assesses zone positioning; MACD confirms directional agreement.
Note: This formula represents a proprietary quantitative model by Ario_Pinelab, inspired by classical technical concepts but not published in any external reference.________________________________________
📊 Environment Classification
Based on Total Strength Score:
🟢 Strong Environment: Score ≥ 60
→ Well-defined momentum, clear directional bias
🟡 Moderate Environment: 40 ≤ Score < 60
→ Mixed signals, transitional conditions
🔴 Weak Environment: Score < 40
→ Ranging, choppy, low conviction movement
Color Coding:
• Green background: Strong (≥60)
• Yellow background: Moderate (40-59)
• Red background: Weak (<40)
________________________________________
📈 Visual Components
Main Chart Display
Score Labels (Top-Right Corner):
┌─────────────────────────────────┐
│ 📊 Alignment: 75 | Strength: 82 │
│ Environment: Strong 🟢 │
└─────────────────────────────────┘
Color-Coded Background:
• Environment strength visually indicated via background color
• Helps quick identification of market regime
• Customizable transparency (default: 90%)
Reference Lines:
• Dotted line at 60: Strong/Moderate threshold
• Dotted line at 40: Moderate/Weak threshold
• Mid-line at 50: Neutral reference
________________________________________
🔧 Customization Settings
Input Parameters
The best setting is the default mode.
🚫 Important Disclaimers & Limitations
What This Indicator IS:
✅ Educational measurement tool for trend quality research
✅ Quantitative assessment of current market environment
✅ Complementary analysis tool for pattern-based systems
✅ Historical data analyzer for systematic study
✅ Multi-factor scoring system based on technical calculations
What This Indicator IS NOT:
❌ NOT a trading system or signal generator
❌ NOT financial advice or trade recommendations
❌ NOT predictive of future price movements
❌ NOT a guarantee of pattern success/failure
❌ NOT a substitute for comprehensive risk management
________________________________________
Known Limitations
1. Lagging Nature:
⚠️ All components (EMA, ADX, RSI, MACD) are calculated
from historical price data
→ Scores reflect CURRENT and RECENT conditions
→ Cannot predict sudden reversals or black swan events
→ Trend measurements lag actual price turning points
2. Whipsaw Risk:
⚠️ In choppy/ranging markets, scores may fluctuate rapidly
→ Moderate zone (40-60) can see frequent transitions
→ Low timeframes more susceptible to noise
→ Consider higher timeframes for stable measurements
3. Component Conflicts:
⚠️ Individual components may disagree
→ Example: Strong ADX but weak RSI alignment
→ Scores average these conflicts (may hide nuance)
→ Check individual components for deeper insight
4. Not Predictive:
⚠️ High scores do NOT guarantee continuation
⚠️ Low scores do NOT guarantee reversal
→ Measurement ≠ Prediction
→ Use for CONTEXT, not SIGNALS
→ Combine with comprehensive analysis
________________________________________
Risk Acknowledgments
Market Risk:
• All trading involves substantial risk of loss
• Past performance (even systematic studies) does not guarantee future results
• No indicator, system, or methodology can eliminate market risk
Measurement Limitations:
• Scores are mathematical calculations, not market predictions
• Environmental classification is descriptive, not prescriptive
• Strong measurements can deteriorate rapidly without warning
Educational Purpose:
• This tool is designed for LEARNING about market structure
• Not designed, tested, or validated as a standalone trading system
• Any trading decisions are user’s sole responsibility
No Warranty:
• Indicator provided “as-is” for educational purposes
• No guarantee of accuracy, reliability, or profitability
• Users must verify calculations and apply critical thinking
Open Source
Full Pine Script code available for educational study and modification. Feedback and improvement suggestions welcome.
“All logic is presented for research and educational visualization.”
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BSL / SSL Liquidity Zones + Alerts//@version=5
indicator("BSL / SSL Liquidity Zones + Alerts", overlay=true, max_labels_count=500)
Session SFPThis script is a powerful, multi-timeframe tool designed to identify high-probability Swing Failure Patterns (SFPs) at key historical levels.
Instead of looking for traditional "pivots" (like a 3-bar swing), this indicator finds the actual high and low of a previous higher-timeframe (HTF) bar (e.g., the previous weekly high/low) and waits for a lower-timeframe (LTF) candle to sweep that level and fail.
This allows you to spot liquidity sweeps and potential reversals at significant, structural price points.
How It Works
The indicator's logic is based on a simple, two-timeframe process:
Level Detection: First, it finds the high and low of the previous bar on your chosen "Level Timeframe" (e.g., W for Weekly, D for Daily). It plots these as small 'x' markers on your chart.
SFP Identification: Second, it watches price action on a lower "SFP Timeframe" (e.g., 240 for 4H). A potential SFP is identified when a candle's wick sweeps above a key high or below a key low.
Confirmation: The SFP is only confirmed after the SFP candle closes back below the high (for a bearish SFP) or above the low (for a bullish SFP). It then waits for a set number of "Confirmation Bars" to pass. If price does not close back over the level during this window, the signal is locked in, and a label is printed.
How to Use (Key Settings)
Level Timeframe (Most Important): This is the timeframe for the levels you want to trade. Set this to W to find SFPs of the previous weekly high/low. Set it to D to find SFPs of the previous daily high/low.
SFP Timeframe: This is the timeframe you want to use to find the SFP candle itself. This should be lower than your Level Timeframe (e.g., 240 or 60).
Level Lookback: This controls how many old levels the script will track. A value of 10 on a W Level Timeframe will track the highs and lows of the last 10 weeks.
Confirmation Bars: This is your "patience" filter. It's the number of SFP Timeframe bars that must close without reclaiming the level after the SFP. A value of 0 will confirm the SFP immediately on the candle's close.
Enable Wick % Filter: A quality filter. If checked, this ensures the SFP candle's rejection wick is a significant percentage of the candle's total range.
Chart Visuals
'x' Markers: These are the historical highs and lows from your "Level Timeframe". You can turn these on or off in the settings.
SFP Label: When an SFP is fully confirmed, a label (Bearish SFP or Bullish SFP) will appear, detailing the level that was swept and the timeframes used.
SFP Line: A solid horizontal line is drawn from the 'x' marker to the SFP candle to highlight the sweep.
Colored Boxes (Optional): If you are viewing a chart timeframe lower than your "SFP Timeframe", you can enable background boxes to highlight the exact SFP candle and its confirmation bars.
WaleedGhuman SMT/MSS/OF/ModelsAt the core of the WaleedGhuman SMT/MSS/OF/Models indicator lies a sophisticated Smart Money Technique (SMT) Divergence Engine that operates across specific distinct timeframes simultaneously. The result is a comprehensive market analysis tool that bridges the gap between macro market structure and micro price action, delivering institutional-grade divergence analysis in an accessible, visually intuitive format.
Momentum Swing 1–3 Weeks
✅ Entry (LONG) Conditions
Price above EMA9 and SMA20
SMA20 > SMA50 (trend confirmation)
MACD above the signal line
RSI between 50–65 (healthy momentum)
Volume at least 20% above the 20-day average
When all conditions align, a LONG signal is generated.
✅ Exit (SELL) Conditions
Price closes below EMA9
MACD gives a bearish crossover
Or TP/SL levels are hit
Position is closed.
✅ Multi-Stage Take Profit
TP1: ATR × 1.5 → closes 50% of the position
TP2: ATR × 3.0 → closes remaining 50%
✅ Stop Loss
ATR × 1.5 dynamic SL
✅ What This Strategy Aims For
Catching early trend continuation signals
Filtering weak / low-volume breakouts
Exiting when momentum fades
Eliminating emotional decision-making through rules
📌 Note
Backtest performance may vary by symbol and volatility. Proper risk management is strongly recommended.
🚀 DocBrown PRO Edition V14++(Institutional Level - Open Source - 1 month Development - Live Testing)
🚀 DocBrown PRO Edition V14++
Author: Jesús Nicolás Astorga
Telegram: @jesus_nicolas_astorga
Origin: Junín – Mendoza – Argentina
DocBrown PRO Edition V14++ is an institutional-level, adaptive trend-following strategy designed for precision and stability across crypto, forex, and index markets. It was developed with a scientific and systematic approach, merging volatility modeling, risk control, and market structure detection into one unified algorithm. The result is a robust system capable of adapting to any market condition while maintaining discipline and safety.
This version represents the evolution of the SuperTrader Pro framework, built to detect strong directional moves, avoid range traps, and manage trades with intelligent automation. It is optimized for high-quality entries, precise exits, and adaptive protection that minimizes drawdowns while allowing full trend exploitation.
The strategy integrates several cooperative subsystems that work together in real time:
Adaptive Regime Filter: Detects trending versus ranging conditions using ADX, Bollinger Band Width, and EMA slope normalized by ATR.
Dynamic Support and Resistance System: Identifies real-time S/R levels and automatically adjusts take-profit targets or triggers trailing after confirmed breakouts.
Derivative Anti-Loss Engine: Calculates multi-level price derivatives to identify adverse momentum and micro-reversals before they expand.
Volatility Adaptive Trailing Stop (VATS): A fully automatic volatility-based stop-loss that reacts dynamically to expansion and contraction phases.
ATR Dynamic Stop System: A classic trailing ATR layer, giving additional flexibility and control for long-term trade management.
Counter-Trend Logic: Detects exhaustion phases and closes positions when the trend shows weakening momentum, using derivative and volatility confirmation.
Drawdown Rescue Mechanism: Follows retracement bounces inside losing trades, exiting only when recovery strength is lost.
Bracket Protection System: Provides exchange-level safety by placing hard stop and limit orders to prevent liquidation events.
Technically, the strategy uses multiple EMA packs (5/13/21, 8/21/50, or 13/34/89), derivative and hysteresis control with ATR gating, dual stop systems (VATS + ATR), and a dynamic S/R-based take profit model. It includes anti-range logic that filters out weak ADX zones, breakeven-plus logic to secure early profits, consecutive-bar and volume-spike exits, and a real-time information panel showing metrics such as net profit, win rate, MFE, and derivative signal strength. It also includes multiple alert conditions for entries, exits, and stop-loss events.
Philosophically, DocBrown PRO Edition was designed with institutional discipline but remains accessible to all traders. Every mechanism was engineered to protect capital and maximize opportunity. It adapts to volatility, avoids noise, and seeks clean, directional movement. When markets sleep, it stands aside. When they awaken, it rides the wave with precision.
Recommended use:
Markets: Crypto Futures, Spot, Indices, or Forex
Timeframes: 5m to 1h (optimized for 10m)
Leverage: Up to 5x tested. Higher leverage requires tight safety brackets.
Risk Model: Approximately 1 USDT risk per trade (≈75 USDT notional at 5x isolated margin)
This system is the result of extensive testing, iteration, and refinement. It embodies a clear philosophy: control risk first, then capture trend momentum efficiently.
Every variable, condition, and exit trigger has been tuned to serve this principle.
If this strategy helps you in your trading journey — whether by improving your discipline, understanding market structure, or enhancing your performance — I invite you to follow my work and give this strategy a Boost on TradingView. Your support encourages further open research and helps develop even more advanced versions for the community.
— Jesús Nicolás Astorga
SuperTrader Pro Lab – Junín, Mendoza, Argentina
neeson vegas proIndicator Name: neeson vegas pro
Overview:
neeson vegas pro is an advanced multi-timeframe trend analysis tool that provides clear trend direction and entry signals through a unique moving average system combined with volume analysis.
Core Mechanism:
Trend Detection System: Uses 140/165 period EMAs as fast lines and 580/670 period EMAs as slow lines. Trend is confirmed when the fast line group completely breaks through the slow line group.
Volume Confirmation: Detects abnormal volume activity, triggering visual alerts when volume exceeds 3.5 standard deviations of the 55-period average, with differentiation between bullish and bearish volume strength.
Signal Filtering: Combines 14-period EMA and SMA as short-term filters, with VWAP as dynamic support/resistance reference.
Technical Implementation:
Employs state tracking algorithm to avoid frequent signal switching near trend boundaries
Uses dynamic percentage calculation to display volume anomaly degree
Implements multi-layer confirmation mechanism to reduce false signals
Provides comprehensive visual feedback system
Usage Instructions:
Trend Identification: Blue bars indicate bullish trend, orange bars indicate bearish trend
Entry Signals: BUY/SELL labels show major moving average crossover points
Volume Confirmation: Blue boxes indicate bullish volume anomalies, orange boxes indicate bearish volume anomalies
Parameter Adjustment: All period parameters can be adjusted based on trading instrument and timeframe
Unique Value:
Compared to traditional Vegas tunnel indicators, neeson vegas pro introduces volume confirmation mechanism, multi-timeframe filters, and intelligent trend state tracking, significantly improving signal accuracy and reliability.
مستويات الاتزان السعري (Equilibrium Price Levels)Equilibrium Price Levels is an educational tool that helps traders quantify “fair value” and key extension zones based on a single reference swing.
The script uses two manual inputs (reference High and Low) to compute a structured set of equilibrium and extension levels, rather than scanning swings automatically. This gives full control over which range the calculations are based on.
Calculated levels include:
• Retracement / equilibrium band from the selected range: 38.2%, 50.0%, 61.8%
• Upside extension targets from the same range: 125%, 1.618, 1.80, 2.50, 3.10, 3.86, 4.236
Features:
• Separate toggles for supports, targets, and reference high/low
• Per-level visibility switches for each extension (e.g., only show 1.618 and 2.50)
• Customizable colors for supports, targets, and reference lines
• Optional labels with configurable size and offset to keep the chart clean
• Multiple line extension modes (left, both sides, or no extension)
Typical use cases:
• Marking an equilibrium zone inside a major swing to watch for reaction or trend continuation
• Building a consistent “price map” of where mean-reversion vs. extension behavior is likely
• Combining with other tools (price action, volume, order blocks, etc.) to refine trade plans
This script is for educational and analytical purposes only and does not constitute financial advice, trade signals, or performance guarantees.
مستويات الاتزان السعري هي أداة تعليمية تساعد المتداول على قياس “السعر العادل” ومناطق التمدد المحتملة اعتمادًا على نطاق سعري واحد يحدده بنفسه.
المؤشر لا يختار القمم والقيعان آليًا، بل يعتمد على إدخال قمّة وقاع مرجعيين يدويًا، مما يعطي تحكمًا كاملًا في النطاق المستخدم في الحسابات.
المؤشر يحسب ما يلي:
• نطاق الاتزان/التراجع من القمة إلى القاع: 38.2%، 50.0%، 61.8%
• أهداف وتمددات سعرية أعلى النطاق: 125%، 1.618، 1.80، 2.50، 3.10، 3.86، 4.236
المزايا:
• مفاتيح تشغيل/إخفاء مستقلة لمستويات الدعم، الأهداف، والقمة/القاع المرجعيين
• إمكانية تفعيل/إلغاء كل هدف بشكل منفصل (مثل إظهار 1.618 و 2.50 فقط)
• تخصيص ألوان خطوط الدعم، الأهداف، وخطوط القمة والقاع
• ملصقات توضيحية اختيارية مع تحكم في حجمها وموقعها على الشارت
• خيارات امتداد للخطوط: لليسار فقط، أو يمين ويسار، أو بدون امتداد
الاستخدامات الشائعة:
• تحديد منطقة الاتزان داخل موجة رئيسية لمراقبة احتمالات الارتداد أو استمرار الاتجاه
• بناء “خريطة سعرية” ثابتة لمناطق التوازن والتمدد على مدى زمني واسع
• دمج المستويات مع أدوات أخرى مثل السلوك السعري أو الحجم أو مناطق التجميع/التصريف لتحسين قرارات الدخول والخروج
هذا السكربت موجه لأغراض تعليمية وتحليلية فقط، ولا يُعتبر نصيحة استثمارية أو توصية بيع/شراء، ولا يضمن أي أداء مستقبلي للأسعار أو النتائج.
MechArt Moving Average and % Above V1.1MechArt Moving Average and % Above V1.1
Unlock the power of custom analysis with this Adjustable Moving Average Indicator! Whether you're a day trader, swing trader, or long-term investor, this tool helps you track price action with precision and flexibility. Tailor your trading strategy to your needs by adjusting the type of moving average, price triggers, and percentage levels.
🔑 Key Features:
Choose Your Moving Average Type 🌀
Select from four popular moving averages:
SMA (Simple Moving Average)
EMA (Exponential Moving Average)
WMA (Weighted Moving Average)
VWMA (Volume Weighted Moving Average)
Find the one that best fits your trading style!
Adjustable Trigger Price
Choose between four price types to trigger signals:
Open
High
Low
Close
Pick the price type that makes the most sense for your strategy!
Percentage Above the Moving Average 📈🔽
Set a custom percentage above the moving average to generate alerts when the price reaches key levels.
Customizable Alerts 🔔
Get notified when the price is above the target price or below the moving average. Perfect for timely trades!
📉 Visual Alerts:
🔴 Red Background: When the selected price is above the target price (percentage above the moving average).
🟩 Green Background: When the selected price is below the moving average.
🚀 How This Indicator Helps You:
Precision 🎯: Visual signals with clear red and green backgrounds help you make quick decisions based on the price's relationship to your moving average.
Flexibility 🔄: Customize the type of moving average and the price used for triggers to fit your trading style.
📊 Perfect For:
Swing Traders 📈: Use the indicator to identify price trends and reversals based on moving averages.
Day Traders ⏳: Set short-term percentage levels to catch immediate price movements.
Long-Term Investors 💼: Track longer-term trends and set alerts when prices deviate significantly from your moving average.
Take control of your trading strategy with this Adjustable Moving Average Indicator and start making more informed decisions today! 🏅
Change from V1.0: Fixed Timeframe setting to match chart.
BUY/SELL/R/BBuy/Sell/R/B by SeanKidd
Purpose: A clean, anchored signal system combining StochRSI crossovers, CVI top/bottom detection, and a MACD direction line that moves with price.
⚙️ How It Works
BUY / SELL – Generated from a higher-timeframe StochRSI crossover.
BUY (Green) → %K crosses above %D
SELL (Red) → %K crosses below %D
R (Reverse) – Yellow “R” appears above the candle when the CVI model detects a local top or exhaustion point.
B (Bottom) – Blue “B” appears below the candle when CVI detects a local bottom.
MACD Direction Line –
Green = MACD above Signal → bullish momentum
Red = MACD below Signal → bearish momentum
The line rides just above the candles, offset by ATR so it always tracks price.
🧭 How to Use It
Add the indicator:
Search for Buy/Sell/R/B by SeanKidd under Community Scripts.
Click ★ to favorite it.
Apply it to your chart.
Open ⚙️ Settings → Inputs
Calculation Timeframe (StochRSI) → pick how fast or slow you want signals (default Weekly).
MACD Line Offset (ATR ×) → raise or lower the MACD line if it overlaps candles.
Adjust Top/Bottom thresholds to control how often R/B appear.
Toggle Highlight bars or Color candles for visual clarity.
Go to Settings → Scales and ensure it’s set to
✅ “Scale with Price Chart” or
✅ same scale side as the candles.
This keeps everything perfectly attached to the chart.
Optional: Add alerts
Create → Alert → Condition → Buy/Sell/R/B by SeanKidd
Choose: SRSI BUY, SRSI SELL, Top (R), or Bottom (B).
📈 Reading the Chart
Marker Meaning Color Position
BUY StochRSI %K cross above %D Lime Below bar
SELL StochRSI %K cross below %D Red Above bar
R CVI-detected top / reversal Yellow Above bar
B CVI-detected bottom Blue Below bar
Line MACD momentum direction Green/Red Above highs
💡 Tips
Works on any symbol or timeframe.
Slower charts (Daily–Weekly) give cleaner swing signals.
Faster charts (15m–1h) show short-term reversals.
Combine the MACD line direction with BUY/SELL for stronger confirmation.
Neeson ATR ProOverview
Neeson ATR Pro is an advanced technical analysis indicator that combines multiple technical tools to provide comprehensive market analysis. This indicator is primarily used to identify trend directions, determine entry and exit points, and manage risks through dynamic stop loss.
Key Features
ATR Trailing Stop System
Dynamic stop loss line based on Average True Range (ATR)
Automatically adjusts stop position according to price volatility
Stop line color changes with market conditions (Long-Orange, Short-Blue, Neutral-White)
VWMA Volume Weighted Moving Average
Moving average incorporating volume information
Works in conjunction with ATR line for more accurate signals
Dual Moving Average Filter System
SMA(20) and EMA(50) dual filtering
Color-changing moving averages that change color on crossover
Provides additional trend confirmation signals
Intelligent Signal Generation
Automatically identifies buy and sell signals
Combines multiple indicator conditions to reduce false signals
Clear visual markers (Buy-green label below, Sell-red label above)
Customizable Label System
Real-time display of indicator values
Adjustable label position and size
Customizable label colors
Alert System
Automatic alerts for buy and sell signals
Suitable for automated trading systems
Usage Instructions
Basic Settings
ATR Period: Default 21, adjustable based on market volatility
ATR Multiplier: Default 6.3, controls stop loss range
Smooth Period: Default 100, controls VWMA smoothness
Signal Interpretation
Buy Signal: Price crosses above ATR stop line and meets moving average filter conditions
Sell Signal: Price crosses below ATR stop line and meets moving average filter conditions
Trend Confirmation: Observe consistency between ATR line and candlestick colors
Risk Management
Use ATR stop line as dynamic stop loss level
Confirm trend direction with moving averages
Recommended to use with other indicators for multiple confirmations
风险提示 / Risk Warning
本指标仅供学习交流使用,不构成任何投资建议。金融市场存在高风险,投资者应自行承担交易风险。
This indicator is for educational and communication purposes only and does not constitute any investment advice. Financial markets involve high risks, and investors should bear their own trading risks.
版权信息 / Copyright
X Account: @neeson1987
Copyright © 2024 Neeson ATR Pro. All rights reserved.
CME Close PriceThis script adds the closing price of another asset on your chart, such as the BTC1! Futures Price on your BTC Spot Chart for example.
For Albert**Strategy Name:** Agile Marketing Strategy
**Description:**
The Agile Marketing Strategy is a flexible and iterative approach to marketing that emphasizes rapid experimentation, customer feedback, and continuous improvement. This strategy enables marketers to adapt quickly to changing market conditions and customer needs, ensuring that marketing efforts remain relevant and effective.
**Key Principles:**
1. **Iterative Planning:** marketing activities are planned in short sprints, allowing for regular reassessment and adjustment of goals.
2. **Cross-Functional Teams:** collaboration between different departments (e.g., sales, product development, customer service) is encouraged to ensure a holistic approach to marketing.
3. **Data-Driven Decision Making:** decisions are based on real-time data and customer insights, enabling marketers to optimize their efforts for maximum impact.
4. **Continuous Learning:** the strategy promotes a culture of learning and experimentation, where marketers can test new ideas and learn from failures.
5. **Customer-Centric Approach:** understanding and meeting customer needs is prioritized through regular feedback and iterative improvements.
**Benefits:**
- **Increased Efficiency:** by focusing on iterative and incremental improvements, marketers can achieve better results with fewer resources.
- **Enhanced Customer Satisfaction:** a customer-centric approach helps to build stronger relationships and drive customer loyalty.
- **Faster Response to Market Changes:** the ability to quickly adapt to market trends and customer preferences ensures that marketing efforts remain effective.
- **Improved Collaboration:** cross-functional teams foster better communication and collaboration across departments.
- **Greater Innovation:** a culture of experimentation encourages marketers to explore new ideas and innovations.
Realtime Squeeze Box [CHE] Realtime Squeeze Box — Detects lowvolatility consolidation periods and draws trimmed price range boxes in realtime to highlight potential breakout setups without clutter from outliers.
Summary
This indicator identifies "squeeze" phases where recent price volatility falls below a dynamic baseline threshold, signaling potential energy buildup for directional moves. By requiring a minimum number of consecutive bars in squeeze, it reduces noise from fleeting dips, making signals more reliable than simple threshold crosses. The core innovation is realtime box visualization: during active squeezes, it builds and updates a box capturing the price range while ignoring extreme values via quantile trimming, providing a cleaner view of consolidation bounds. This differs from static volatility bands by focusing on trimmed ranges and suppressing overlapping boxes, which helps traders spot genuine setups amid choppy markets. Overall, it aids in anticipating breakouts by combining volatility filtering with visual containment of price action.
Motivation: Why this design?
Traders often face whipsaws during brief volatility lulls that mimic true consolidations, leading to premature entries, or miss setups because standard volatility measures lag in adapting to changing market regimes. This design addresses that by using a hold requirement on consecutive lowvolatility bars to denoise signals, ensuring only sustained squeezes trigger visuals. The core idea—comparing rolling standard deviation to a smoothed baseline—creates a responsive yet stable filter for lowenergy periods, while the trimmed box approach isolates the core price cluster, making it easier to gauge breakout potential without distortion from spikes.
What’s different vs. standard approaches?
Reference baseline: Traditional squeeze indicators like the Bollinger Band Squeeze or TTM Squeeze rely on fixed multiples of bands or momentum oscillators crossing zero, which can fire on isolated bars or ignore range compression nuances.
Architecture differences:
Realtime box construction that updates barbybar during squeezes, using arrays to track and trim price values.
Quantilebased outlier rejection to define box bounds, focusing on the bulk of prices rather than full range.
Overlap suppression logic that skips redundant boxes if the new range intersects heavily with the prior one.
Hold counter for consecutive bar validation, adding persistence before signaling.
Practical effect: Charts show fewer, more defined orange boxes encapsulating tight price action, with a horizontal line extension marking the midpoint postsqueeze—visibly reducing clutter in sideways markets and highlighting "coiled" ranges that standard plots might blur with full highs/lows. This matters for quicker visual scanning of multitimeframe setups, as boxes selflimit to recent history and avoid piling up.
How it works (technical)
The indicator starts by computing a rolling average and standard deviation over a userdefined length on the chosen source price series. This deviation measure is then smoothed into a baseline using either a simple or exponential average over a longer window, serving as a reference for normal volatility. A squeeze triggers when the current deviation dips below this baseline scaled by a multiplier less than one, but only after a minimum number of consecutive bars confirm it, which resets the counter on breaks.
Upon squeeze start, it clears a buffer and begins collecting source prices barbybar, limited to the first few bars to keep computation light. For visualization, if enabled, it sorts the buffer and finds a quantile threshold, then identifies the minimum value at or below that threshold to set upper and lower box bounds—effectively clamping the range to exclude tails above the quantile. The box draws from the start bar to the current one, updating its right edge and levels dynamically; if the new bounds overlap significantly with the last completed box, it suppresses drawing to avoid redundancy.
Once the hold limit or squeeze ends, the box freezes: its final bounds become the last reference, a midpoint line extends rightward from the end, and a tiny circle label marks the point. Buffers and states reset on new squeezes, with historical boxes and lines capped to prevent overload. All logic runs on every bar but uses confirmed historical data for calculations, with realtime updates only affecting the active box's position—no future peeking occurs. Initialization seeds with null values, building states progressively from the first bars.
Parameter Guide
Source: Selects the price series (e.g., close, hl2) for deviation and box building; influences sensitivity to wicks or bodies. Default: close. Tradeoffs/Tips: Use hl2 for balanced range view in volatile assets; stick to close for pure directional focus—test on your timeframe to avoid oversmoothing trends.
Length (Mean/SD): Sets window for average and deviation calculation; shorter values make detection quicker but noisier. Default: 20. Tradeoffs/Tips: Increase to 30+ for stability in higher timeframes, reducing false starts; below 10 risks overreacting to singlebar noise.
Baseline Length: Defines smoothing window for the deviation baseline; longer periods create a steadier reference, filtering regime shifts. Default: 50. Tradeoffs/Tips: Pair with Length at 1:2 ratio for calm markets; shorten to 30 if baselines lag during fast volatility drops, but watch for added whips.
Squeeze Multiplier (<1.0): Scales the baseline downward to set the squeeze threshold; lower values tighten criteria for rarer, stronger signals. Default: 0.8. Tradeoffs/Tips: Tighten to 0.6 for highvol assets like crypto to cut noise; loosen to 0.9 in forex for more frequent but shallower setups—balances hit rate vs. depth.
Baseline via EMA (instead of SMA): Switches baseline smoothing to exponential for faster adaptation to recent changes vs. equalweighted simple average. Default: false. Tradeoffs/Tips: Enable in trending markets for quicker baseline drops; disable for uniform history weighting in rangebound conditions to avoid overreacting.
SD: Sample (len1) instead of Population (len): Adjusts deviation formula to divide by length minus one for smallsample bias correction, slightly inflating values. Default: false. Tradeoffs/Tips: Use sample in short windows (<20) for more conservative thresholds; population suits long looks where bias is negligible, keeping signals tighter.
Min. Hold Bars in Squeeze: Requires this many consecutive squeeze bars before confirming; higher denoise but may clip early setups. Default: 1. Tradeoffs/Tips: Bump to 35 for intraday to filter ticks; keep at 1 for swings where quick consolidations matter—trades off timeliness for reliability.
Debug: Plot SD & Threshold: Toggles lines showing raw deviation and threshold for visual backtesting of squeeze logic. Default: false. Tradeoffs/Tips: Enable during tuning to eyeball crossovers; disable live to declutter—great for verifying multiplier impact without alerts.
Tint Bars when Squeeze Active: Overlays semitransparent color on bars during open box phases for quick squeeze spotting. Default: false. Tradeoffs/Tips: Pair with low opacity for subtlety; turn off if using boxes alone, as tint can obscure candlesticks in dense charts.
Tint Opacity (0..100): Controls background tint strength during active squeezes; higher values darken for emphasis. Default: 85. Tradeoffs/Tips: Dial to 60 for light touch; max at 100 risks hiding price action—adjust per chart theme for visibility.
Stored Price (during Squeeze): Price series captured in the buffer for box bounds; defaults to source but allows customization. Default: close. Tradeoffs/Tips: Switch to high/low for wider boxes in gappy markets; keep close for midline focus—impacts trim effectiveness on outliers.
Quantile q (0..1): Fraction of sorted prices below which tails are cut; higher q keeps more data but risks including spikes. Default: 0.718. Tradeoffs/Tips: Lower to 0.5 for aggressive trim in noisy assets; raise to 0.8 for fuller ranges—tune via debug to match your consolidation depth.
Box Fill Color: Sets interior shade of squeeze boxes; semitransparent for layering. Default: orange (80% trans.). Tradeoffs/Tips: Soften with more transparency in multiindicator setups; bold for standalone use—ensures boxes pop without overwhelming.
Box Border Color: Defines outline hue and solidity for box edges. Default: orange (0% trans.). Tradeoffs/Tips: Match fill for cohesion or contrast for edges; thin width keeps it clean—helps delineate bounds in zoomed views.
Keep Last N Boxes: Limits historical boxes/lines/labels to this count, deleting oldest for performance. Default: 10. Tradeoffs/Tips: Increase to 50 for weekly reviews; set to 0 for unlimited (risks lag)—balances history vs. speed on long charts.
Draw Box in Realtime (build/update): Enables live extension of boxes during squeezes vs. waiting for end. Default: true. Tradeoffs/Tips: Disable for confirmedonly views to mimic backtests; enable for proactive trading—adds minor repaint on live bars.
Box: Max First N Bars: Caps buffer collection to initial squeeze bars, freezing after for efficiency. Default: 15. Tradeoffs/Tips: Shorten to 510 for fast intraday; extend to 20 in dailies—prevents bloated arrays but may truncate long squeezes.
Reading & Interpretation
Squeeze phases appear as orange boxes encapsulating the trimmed price cluster during lowvolatility holds—narrow boxes signal tight consolidations, while wider ones indicate looser ranges within the threshold. The box's top and bottom represent the quantilecapped high and low of collected prices, with the interior fill shading the containment zone; ignore extremes outside for "true" bounds. Postsqueeze, a solid horizontal line extends right from the box's midpoint, acting as a reference level for potential breakout tests—drifting prices toward or away from it can hint at building momentum. Tiny orange circles at the line's start mark completion points for easy scanning. Debug lines (if on) show deviation hugging or crossing the threshold, confirming hold logic; a persistent hug below suggests prolonged calm, while spikes above reset counters.
Practical Workflows & Combinations
Trend following: Enter long on squeezeend close above the box top (or midpoint line) confirmed by higher high in structure; filter with rising 50period average to avoid countertrend traps. Use boxes as support/resistance proxies—short below bottom in downtrends.
Exits/Stops: Trail stops to the box midpoint during postsqueeze runs for conservative holds; go aggressive by exiting on retest of opposite box side. If debug shows repeated threshold grazes, tighten stops to curb drawdowns in ranging followups.
Multiasset/MultiTF: Defaults work across stocks, forex, and crypto on 15min+ frames; scale Length proportionally (e.g., x2 on hourly). Layer with highertimeframe boxes for confluence—e.g., daily squeeze + 1H box for entry timing. (Unknown/Optional: Specific multiTF scaling recipes beyond proportional adjustment.)
Behavior, Constraints & Performance
Repaint/confirmation: Core calculations use historical closes, confirming on bar close; active boxes repaint their right edge and levels live during squeezes if enabled, but freeze irrevocably on hold limit or end—mitigates via barbybar buffer adds without future leaks. No lookahead indexes.
security()/HTF: None used, so no external timeframe repaints; all native to chart resolution.
Resources: Caps at 300 boxes/lines/labels total; small arrays (up to 20 elements) and short loops in sorting/minfinding keep it light—suitable for 10k+ bar charts without throttling. Persistent variables track state across bars efficiently.
Known limits: May lag on ultrasharp volatility spikes due to baseline smoothing; gaps or thin markets can skew trims if buffer hits cap early; overlaps suppress visuals but might hide chained squeezes—(Unknown/Optional: Edge cases in nonstandard sessions).
Sensible Defaults & Quick Tuning
Start with defaults for most liquid assets on 1Hdaily: Length 20, Multiplier 0.8, Hold 1, Quantile 0.718—yields balanced detection without excess noise. For too many false starts (choppy charts), increase Hold to 3 and Baseline Length to 70 for stricter confirmation, reducing signals by 3050%. If squeezes feel sluggish or miss quick coils, shorten Length to 14 and enable EMA baseline for snappier adaptation, but monitor for added flips. In highvol environments like options, tighten Multiplier to 0.6 and Quantile to 0.6 to focus on core ranges; reverse for calm pairs by loosening to 0.95. Always backtest tweaks on your asset's history.
What this indicator is—and isn’t
This is a volatilityfiltered visualization tool for spotting and bounding consolidation phases, best as a signal layer atop price action and trend filters—not a standalone predictor of direction or strength. It highlights setups but ignores volume, momentum, or news context, so pair with discreteness rules like higher highs/lows. Never use it alone for entries; always layer risk management, such as 12% stops beyond box extremes, and position sizing based on account drawdown tolerance.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on HeikinAshi, Renko, Kagi, PointandFigure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
Smart Money Concepts ProjectorVariant of LuxAlgo Smart Money Concepts that allows you to choose a reference symbol that has a strong correlation with the current asset (e.g. corr(SOL/USDT, USDT.D) = -0.9). The indicator performs a simple linear regression and maps the key levels from USDT.D (or any other chose asset) on the current candle pane.
MechArt Moving Average and % Above V1.0MechArt Moving Average and % Above V1.0
Unlock the power of custom analysis with this Adjustable Moving Average Indicator! Whether you're a day trader, swing trader, or long-term investor, this tool helps you track price action with precision and flexibility. Tailor your trading strategy to your needs by adjusting the type of moving average, price triggers, and percentage levels.
🔑 Key Features:
Choose Your Moving Average Type 🌀
Select from four popular moving averages:
SMA (Simple Moving Average)
EMA (Exponential Moving Average)
WMA (Weighted Moving Average)
VWMA (Volume Weighted Moving Average)
Find the one that best fits your trading style!
Adjustable Trigger Price
Choose between four price types to trigger signals:
Open
High
Low
Close
Pick the price type that makes the most sense for your strategy!
Percentage Above the Moving Average 📈🔽
Set a custom percentage above the moving average to generate alerts when the price reaches key levels.
Customizable Alerts 🔔
Get notified when the price is above the target price or below the moving average. Perfect for timely trades!
📉 Visual Alerts:
🔴 Red Background: When the selected price is above the target price (percentage above the moving average).
🟩 Green Background: When the selected price is below the moving average.
📅 Adjustable Timeframe:
Choose the timeframe that suits you! Whether you're trading on a 1-minute chart, 1-hour, 1-day, or 1-week, this indicator works for all timeframes.
🚀 How This Indicator Helps You:
Precision 🎯: Visual signals with clear red and green backgrounds help you make quick decisions based on the price's relationship to your moving average.
Flexibility 🔄: Customize the type of moving average and the price used for triggers to fit your trading style.
📊 Perfect For:
Swing Traders 📈: Use the indicator to identify price trends and reversals based on moving averages.
Day Traders ⏳: Set short-term percentage levels to catch immediate price movements.
Long-Term Investors 💼: Track longer-term trends and set alerts when prices deviate significantly from your moving average.
Take control of your trading strategy with this Adjustable Moving Average Indicator and start making more informed decisions today! 🏅
BTC Bull/Bear marketThis indicator plots the 350-period Simple Moving Average (SMA) calculated on the Daily ("D") timeframe.
he color of the SMA line is determined by the closing price of the 2-Week ("2W") timeframe.
1. It fetches the 350-day SMA value (`sma350_daily`).
2. It checks where the *last closed* 2-Week candle finished relative to this SMA line.
3. If the 2W candle closed *above* the 350 SMA, the line is colored GREEN.
4. If the 2W candle closed *below* the 350 SMA, the line is colored RED.
This helps to visualize the long-term trend (350 SMA) confirmed by a higher (2W) timeframe bias, using non-repainting logic (`close `) for the color signal.
BullTrader - ParabolicSARFlipSignals(NonRepainting)🧠 Concept & Purpose
This indicator isolates the confirmed trend‑change events produced by the Parabolic SAR and turns them into direct, non‑repainting trade signals.
Instead of plotting every SAR dot as a potential entry, it marks only the bars where price has closed across the SAR line, confirming a genuine flip from bullish → bearish or vice versa.
Each confirmed flip is displayed with a single triangle on the chart and can be connected to alerts.
The design is intentionally minimal: one simple but reliable algorithmic definition of “the trend just turned.”
⚙️ How It Works
1. The script calculates the standard Parabolic SAR value using the built‑in ta.sar() function.
2. When a candle closes above a SAR dot that was previously above price → uptrend starts (Buy Signal).
3. When a candle closes below a SAR dot that was previously below price → downtrend starts (Sell Signal).
4. Signals are confirmed only after the bar closes (barstate.isconfirmed), guaranteeing no repainting.
5. Each event can trigger an alert or simply serve as a visual reversal marker.
📈 Chart Elements
Element Description
🟠 Orange cross dots Standard Parabolic SAR trail.
🟢 Triangle below bar Confirmed SAR flip up → new bullish phase.
🔴 Triangle above bar Confirmed SAR flip down → new bearish phase.
Optional green/red background Highlights bars where a confirmed flip occurred.
🔔 Alerts
Use buySignalFinal for Buy alerts and sellSignalFinal for Sell alerts.
Set alerts to “Once per bar close” to match the non‑repainting confirmation logic.
📊 Best Use
* Identifying clear trend reversals.
* As an entry / exit overlay for manual trading.
* As a base signal for automated or alert‑driven systems.
This version keeps the indicator fast, reproducible, and completely non‑repainting — ideal for traders who prefer transparent and verifiable signals derived directly from Per J. Wilder’s original Parabolic SAR formula.
Trend Strength Benchmark (TSB)This indicator helps you gauge trend strength by combining multi-timeframe EMAs, VWAP, and optional ADX filters. It tracks the EMA high, low, and close from your chosen primary timeframe, and can also pull corresponding levels from higher timeframes for added confirmation.
The shaded EMA band on the chart gives you a quick visual of the trend zone. VWAP from the same timeframe adds an anchor point to judge momentum.
For signals, the script fires a BUY when the candle’s low stays above all selected benchmark lines, and a SELL when the candle’s high stays below them. Only one type of signal is allowed at a time, preventing back-to-back buys or sells and keeping the flow clean. An optional ADX filter lets you allow signals only when the trend has enough strength.
Everything is customizable — EMA length, timeframes, signal direction, and ADX settings — making it a flexible tool for momentum and trend-based strategies.
TOBYGBADE1: Dynamic Big Candle Pip RangeDisplays candle ranges in pips as a histogram in a separate pane, highlights big candles exceeding a dynamic threshold, and colors bars and labels green/red based on bullish or bearish direction.”






















