Seasonality📈 What “Seasonality” Means in Trading
Seasonality in trading refers to recurring market patterns that tend to happen around the same time each year, month, or even week. These patterns are based on historical tendencies, for example, certain stocks or indices often rise or fall during specific periods due to consistent economic, institutional, or behavioral factors.
A simple example:
The S&P 500 often performs stronger in the last quarter of the year (“Santa Rally”).
Crude oil prices tend to rise during summer months when demand for fuel increases.
Agricultural commodities follow planting and harvest cycles.
By analyzing these seasonal trends, traders can gain an additional layer of probability in their decision-making. It doesn’t replace technical or fundamental analysis, but it complements them by showing when a market historically tends to move in a certain direction.
That’s why a seasonality indicator can be extremely useful:
It visualizes past performance patterns directly on your chart.
It helps identify periods of high or low probability for bullish or bearish moves.
It allows traders to align trades with statistical tendencies, not just current price action.
You can also customize the lookback period, for example, view seasonal patterns from the last 5, 10, 15, or 20 years, depending on how much historical data you want to include.
In short, a good seasonality indicator doesn’t predict the future, it highlights what markets tend to do, helping traders act with more context and confidence.
Indicators and strategies
Harmonic Pattern Sniper PRO- Crypto Lidya🎯 Harmonic Pattern Sniper PRO (HPS PRO) — Crypto Lidya Edition
Professional Harmonic Pattern Detector, Alert & Backtest Engine
🔍 Overview
HPS PRO is a fully automated Harmonic Pattern Detection and Backtest System built for TradingView.
It detects 11 harmonic formations within seconds, draws PRZ (Potential Reversal Zone) boxes, calculates TP/SL levels, and displays performance statistics for each pattern.
📈 “HPS PRO doesn’t just detect patterns — it analyzes them statistically.”
🧩 Supported Patterns
1. Bat
2. Gartley
3. Cypher
4. Crab
5. Deep Crab
6. Butterfly
7. Shark
8. Anti-Shark
9. 5-0 Pattern
10. Nen Star
11. Navarro 200
Each pattern is detected for both bullish and bearish directions with user-defined deviation tolerances.
⚙️ Real-Time & Non-Redrawing
- Detects patterns before candle close (instant detection)
- Intrabar Hard-Lock prevents multiple detections on the same bar
- Snapshot Engine freezes entry levels — patterns never repaint in history
Real-time pattern detection before bar close with “lock” symbol
📸 Instant Detection Proof — Before & After Comparison
To demonstrate the real-time, non-repainting nature of HPS PRO, the following two screenshots show the pattern formation before and immediately after the D-bar closes.
The pattern appears live (before candle close), and the same formation remains visible after the bar closes — confirming zero repainting.
Before Candle Close (Instant Detection Preview):
After Candle Close (Confirmed Pattern, Same Structure):
💡 This comparison clearly proves that HPS PRO draws harmonic structures instantly at the D-bar without any delay or redraw.
🎯 Automated TP / SL Projection
Five Take Profit (TP1–TP5) levels and one Stop-Loss (SL) level are auto-calculated.
Two calculation engines available:
- Fibonacci Classic
- Fibonacci Custom (Crypto Lidya)
Each level has its own label, price display, and color transparency.
PRZ box and ENTRY label visually mark the potential reversal zone.
📊 Backtest Performance Panel
A fully integrated table summarizing each pattern’s success:
- Total formations detected
- SL count
- TP1–TP5 success rates
- Automatic Grand Total row
“Analyze each pattern’s win rate directly from your chart.”
🔔 Smart Alert System
- Edge-based trigger (alerts only once at the first detection)
- 3 alert categories:
1.) All Patterns (Any)
2.) Direction-Based (Bullish / Bearish)
3.) Per-Pattern alerts (e.g., Bullish Deep Crab)
Alert messages are bilingual by default:
EN: Bullish Bat detected.
TR: Boğa Bat formasyonu oluştu.
🧠 Intelligent Architecture
- Hash Pool: guarantees pattern uniqueness (no redraws)
- Snapshot Engine: locks ENTRY/BASE prices at first detection
- Garbage Collector: automatically manages drawing limits
- “Show Last Pattern” mode: displays only the latest formation
💡 Volume Intelligence
- Highlights bars with volume ≥ 2×, 3×, or 4× above average
- Paints candles by volume multiples
“Whale Alert” mode plots colored triangles for ultra-high volume bars
💼 Ideal For
✅ Technical analysts
✅ Harmonic pattern traders
✅ Algorithmic strategy developers
✅ Traders who value statistical validation
“HPS PRO ends the manual search era — every pattern, instantly and accurately.”
🔗 Developed by Crypto Lidya
📩 “For support, please contact the developer on TradingView.”
🧠 “Don’t hunt patterns — let HPS PRO find them.”
📊 “Your backtest table reveals your strategy’s structure.”
🚀 “HPS PRO — The next evolution of harmonic trading.”
🌐 Coming Soon: HPS DEMO (Free Version)
EN: A free demo version (“Harmonic Pattern Sniper DEMO – Crypto Lidya”) will soon be available for public testing on selected pairs.
TR: “Harmonic Pattern Sniper DEMO – Crypto Lidya” isimli ücretsiz demo sürümü yakında seçili grafiklerde denemeye açılacaktır.
PulseWave StrategyThe PulseWave Strategy is designed to identify trend-aligned momentum bursts in price action, using a combination of EMA trend filters, RSI momentum, and volume surge detection.
📌 Features
– Dual EMA crossover for trend direction
– RSI filter to avoid overbought/sold traps
– Volume surge detection to catch market "pulses"
– ATR-based trailing exit and trend-reversal stop
⚙️ Inputs You Can Customize
– EMA lengths
– RSI period and thresholds
– Volume surge sensitivity
– ATR length and trailing logic
📈 Backtest Sample (BTCUSD 1h)
– Return: +127%
– Win Rate: 54%
– Max Drawdown: 18%
– Period: Jan 2023 – Oct 2025
(Replace with your actual test results)
🔧 Built for educational use. Always validate on your own data and strategy framework before using live.
⚠️ Disclaimer
This tool is for research and educational purposes only. It is not financial advice. Trade responsibly and use proper risk management.
Profitsmaxx DayProfitProfitsMaxx DayProfit is the ultimate all-in-one indicator designed for traders who want consistent, high-quality trade signals across any coin and any timeframe. Built for day traders, it delivers precise entry and exit alerts that adapt seamlessly to market conditions — whether you’re trading crypto, forex, or indices.
Powered by advanced algorithms that combine market structure, momentum, and trend analysis, ProfitsMaxx Day Profit helps traders capture profitable moves while minimizing false signals. It’s trusted by both beginners and experienced traders as a reliable tool for daily trading success.
With its clear visuals, intuitive interface, and multi-market compatibility, Day Profit stands as the all-time best ProfitsMaxx indicator — giving you the edge to trade smarter, react faster, and grow your profits with confidence.
👉 Available now at www.profitsmaxx.com
KI-StageSpot V1KI-StageSpot V1 is a stage analysis and base-tracking tool. It overlays key moving averages, highlights crossovers, and marks base highs, lows, and breakouts on weekly charts. It also shows depth and duration stats for each base with customizable labels, alerts, and styling options.
Settings :
1. Start Date → Select manually:
-->> Either post Stage 1 lockout rally
-->> Or 1 week before Stage 2’s first base
2. End Date → Choose up to the point you want to review (for back testing).
3. Label View → Pick between:
-->> Compact view
-->> Expanded view
4. Alert Levels → Helps in identifying faulty bases (can be changed)
Square of natural number_RAMLAKSHMANDASThis indicator draws horizontal lines at square-number price levels around the square root of the current closing price. Inspired by Gann’s geometric approach, these lines serve as potential support and resistance levels. Each line is labeled with its price for easy identification. Traders can use it to visualize mathematically significant zones, identify reversal points, and enhance numerical trading strategies.
Pine Script Indicator: Odd Square Levels
This Pine Script indicator, designed for TradingView v6, plots dynamic horizontal support and resistance levels on the chart based on the square root of the current close price. It adheres to the specific principles of Gann theory, focusing exclusively on odd square numbers.
How it Works:
The indicator first calculates a base number by taking the square root of the current bar's close price and rounding it. This base number acts as the center of a user-defined range. The script then iterates through all the natural numbers within this range.
For each number in the range, it performs a check:
If the number is odd, the script calculates its square and plots a horizontal line at that price level.
If the number is even, the script adds 1 to the number before squaring it and plotting the line. This ensures that only levels corresponding to odd squares are ever drawn.
Key Features:
Dynamic Levels: The levels automatically adjust as the market price changes, providing real-time support and resistance zones.
Customizable Range: The user can specify an offset (e.g., ±10) around the square root of the price to control the number of levels displayed.
Visual Customization: Users can modify the color and width of the lines to suit their preference.
On-Chart Labels: The indicator can be configured to display a label next to each line, showing the number squared and the resulting price level (e.g., 3² = 9).
Performance Optimization: The indicator is designed to run efficiently by deleting old drawings on each new bar, preventing chart clutter and ensuring a smooth experience.
Ideal Usage:
This indicator is a powerful tool for traders who follow Gann theory or are looking for unconventional support and resistance levels. The levels are particularly useful for identifying potential trend reversals or areas of strong confluence with other trading strategies. It is recommended to use the indicator on volatile asset classes where price movements are significant, such as cryptocurrencies, as these assets tend to follow these types of mathematical relationships.
Ichimoku PourSamadi Signal [TradingFinder] KijunSen Magic Number🔵 Introduction
The Ichimoku Kinko Hyo system is one of the most comprehensive market analysis tools ever created. Developed by Goichi Hosoda, a Japanese journalist in the 1930s, its purpose was to allow traders to recognize the balance between price, time, and momentum at a single glance. (In Japanese, Ichimoku literally means “one look.”)
At the core of the system lie five key components: Tenkan-sen (Conversion Line), Kijun-sen (Baseline), Chikou Span (Lagging Line), and the two leading spans, Senkou Span A and Senkou Span B, which together form the well-known Kumo or cloud representing both temporal structure and equilibrium zones in the market.
Although Ichimoku is commonly used to identify trends and support/resistance levels, a deeper layer of time philosophy exists within it. Ichimoku was not designed solely for price analysis but equally for time analysis.
In the classical model, the numerical cycles 9, 26, 52 reflect the natural rhythm of the market originally based on the Tokyo Stock Exchange’s trading schedule in the 1930s.
These values repeat across the system’s calculations, forming the foundation of Ichimoku’s time symmetry where price and time ultimately seek equilibrium.
In recent years, modern analysts have explored new approaches to extract time-based turning points from Ichimoku’s structure. One such approach is the analysis of flat segments on the Kijun-sen and Senkou B lines.
Whenever one of these lines remains flat for a period, it signals temporary balance between buyers and sellers; when the flat breaks, the market exits equilibrium and a new cycle begins.
This indicator is built precisely upon that philosophy. Following the timing methodology introduced by M.A. Poursamadi, the focus shifts away from price signals and line crossovers toward identifying flat periods on Kijun-sen (period 52) as time anchors.
From the first candle that changes the line’s slope, the tool begins a temporal count using a fixed sequence of key numbers: 5, 9, 13, 17, 26, 35, 43, 52, 63, 72, 81, 90.
Derived from both classical Ichimoku cycles and empirical testing, these numbers mark potential timing nodes where a market wave may end, a correction may begin, or a new leg may form.
Thus, this method serves not merely as another Ichimoku tool but as a temporal metronome for market structure a way to visualize moments when the market is ready to change rhythm, often before candles reveal it.
🔵 How to Use
The Kijun Timing BoX is built entirely on Ichimoku’s concept of time analysis.
Its core idea is that within every flat segment of the Kijun-sen, the market enters a temporary balance between opposing forces.
When that flat breaks, a new time cycle begins. From that first breakout candle, the indicator starts counting forward through the predefined time sequence(5, 9, 13, 17, 26, 35, 43, 52, 63, 72, 81, 90).
This counting framework creates a temporal map of market behavior, where each number represents an area where meaningful price fluctuations often occur.
A “meaningful fluctuation” does not necessarily imply reversal or continuation; rather, it marks a moment when the market’s internal energy balance shifts, typically visible as noticeable reactions on lower timeframes.
🟣 Identifying the Anchor Point
The first step is recognizing a valid flat zone on the Kijun-sen.
When this line remains flat for several candles and then changes slope, the indicator marks that bar as the Anchor, initiating the time count.
From that point onward, vertical gray lines appear at each interval in the key-number sequence, visualizing the time nodes ahead.
🟣 Reading the Timing Lines
Each numbered line represents a timing node a temporal point where a change in price rhythm is statistically more likely to occur.
At these nodes, the market may :
Enter a consolidation or minor correction phase.
Develop range-bound movement.
Or simply alter the speed and intensity of its move.
These behaviors do not imply a specific direction; they only highlight zones where time-based activity tends to cluster, giving traders a clearer view of cyclical rhythm.
🟣 Applying Time Analysis
The indicator’s primary use is to observe temporal order, not to predict price direction.
By tracking the distance between Anchors and the reactions that appear near major timing lines, traders can empirically identify each market’s characteristic rhythm—its own time DNA.
For example, one asset may consistently show significant fluctuations around the 13- and 26-bar marks,while another might react closer to 9 or 52. Recognizing such patterns helps traders understand how long typical cycles last before new phases of volatility emerge.
🟣 Combining with Other Tools
The indicator does not generate buy/sell signals on its own.
Its best use is in combination with price- or structure-based methods, to see whether meaningful price reactions occur around the same timing nodes.
In practice, it helps distinguish structured time-based fluctuations from random, noise-driven moves an insight often overlooked in conventional market analysis.
🔵 Settings
🟣 Logical Settings
KijunSen Period : Defines the baseline period used for timing analysis. Default = 52. It is the main line for detecting flats and generating time anchors.
Flat Event Filter : Controls how flat segments are validated before triggering a new timing event.
All : Every flat triggers a new Timing Box.
Automatic : Only flats longer than the historical average are used (recommended).
Custom : User manually defines the minimum flat length via Custom Count.
Update Timing Analysis BoX Per Event : If enabled, a new Timing Box is drawn each time a new flat event occurs. If disabled, the box completes its 90-bar window before refreshing.
🟣 Ichimoku Settings
TenkanSen Period : Defines the period for the Conversion Line (Tenkan-sen). Default = 9.
KijunSen Period : Sets the standard Ichimoku baseline (not the timing line). Default = 26.
Span B Period : Defines the period for Senkou Span B, the slower cloud boundary. Default = 52.
Shift Lines : Offsets cloud projection into the future. Default = 26.
🟣 Display Settings
Users can show or hide all Ichimoku lines Tenkan-sen, Kijun-sen, Chikou Span, Span A, and Span B as well as the Ichimoku Cloud.
They can also customize the color of each element to match personal chart preferences and improve visibility.
🔵 Conclusion
This analytical approach transforms Ichimoku’s time philosophy into a visual and measurable framework. A flat Kijun-sen represents a moment of market equilibrium; when its slope shifts, a new temporal cycle begins.
The purpose is not to forecast price direction but to highlight periods when meaningful fluctuations are more likely to develop.
Through this perspective, traders can observe the hidden rhythm of market time and expand their analysis beyond price into a broader time-cycle dimension.
Ultimately, the method revives Ichimoku’s original principle: the market can only be truly understood through the simultaneous harmony of price, time, and balance.
London Sweep of Asia Extremes probibilities when London Sweep of Asia Extremes. About first and the second hours trading londond session
Microgaps (plots-only, 4-channel, same-day only)Purpose:
This indicator visually highlights 3-bar price gaps on your chart, showing clear visual structure for gap zones without lag or diagonal artifacts.
It draws two outer lines (top and bottom of the gap) for every valid 3-bar gap, and optionally a midline when the gap is considered “large.”
⚙️ How it works
A bull gap is detected when the current bar’s low is higher than the high from two bars ago (low > high ).
A bear gap is detected when the current bar’s high is lower than the low from two bars ago (high < low ).
The lines are centered at the middle bar of the 3-bar sequence.
Gaps are only drawn within the same trading day to avoid false overnight gaps.
To prevent overlapping artifacts, up to four concurrent gap channels can be drawn efficiently using GPU-friendly plot() lines.
🔵 Midline logic
The midline (center of the gap) is only displayed when the gap’s vertical size is “large” relative to recent volatility.
“Large” means the gap height is greater than a user-defined fraction of the average bar range over the past N bars.
Example: if the average 8-bar range = 2 points, and the threshold = 0.3, then only gaps larger than 0.6 points will show the midline.
🧩 Parameters
Setting Description
Bull Gap Color / Width Style of bullish gaps (top and bottom lines).
Bear Gap Color / Width Style of bearish gaps (top and bottom lines).
Mid Gap Color / Width Style of the optional midline (shown only when “large”).
Large Gap — Lookback (bars) Number of bars used to calculate the average range (default: 8).
Large Gap — Size vs Avg Range Fraction of the average range that defines a “large” gap (default: 0.5). Set lower (e.g. 0.3) to show more midlines.
💡 Tips
Set threshold lower (0.2–0.4) for more midlines, higher (0.6–1.0) to highlight only extreme gaps.
Works best on intraday timeframes (1-min to 30-min).
Fully GPU-efficient — can scroll back thousands of bars without lag.
ORB + Lq-💰-Enhanced-R6 [J-Algo]# ORB-Enhanced-R6 with Key Liquidity
## 🎯 **Professional Opening Range Breakout + Institutional Liquidity Analysis**
Transform your trading with this comprehensive indicator that combines **Opening Range Breakouts** with **Key Liquidity Levels** - bridging the gap between retail and institutional trading concepts.
---
## 🚀 **Key Features**
### **📊 Opening Range Breakout (ORB)**
- **Customizable time periods** - 15min default, or set custom session times
- **Dynamic fill colors** - Session comparison or breakout direction
- **Professional labeling** - Clear ORH/ORL markers with tooltips
- **Historical data toggle** - Clean charts or full history view
### **🌍 Multi-Session Analysis**
- **Tokyo, London, New York, Sydney** sessions with individual colors
- **Session high/low tracking** - Identify key intraday levels
- **Timezone flexibility** - Supports all major trading timezones
- **Clean visual separation** - Each session clearly distinguished
### **💧 Dual-Timeframe Key Liquidity**
- **HTF Liquidity (4H default)** - Major institutional levels where big money sits
- **LTF Liquidity (1H default)** - Precision entry levels for optimal timing
- **Smart mitigation** - Levels disappear when broken (optional: keep visible)
- **Timeframe labels** - Clear "4H", "1H" identification at line ends
### **📈 Advanced Confirmation Tools**
- **EMA Integration** - Trend bias with customizable length
- **Multi-Timeframe Analysis** - Higher timeframe trend confirmation
- **Volume Spike Detection** - Identify high-conviction moves
- **Smart Alerts** - Quality-scored breakouts (High Quality vs Standard)
---
## 🎨 **Visual Excellence**
### **Professional Design**
- **Color-coded sessions** - Easy visual distinction
- **Consistent labeling** - ORB style text for all levels
- **Flexible extensions** - Short, Current, or Max line extensions
- **Clean interface** - Show/hide any component
### **Customization Options**
- **Individual session colors** - Personalize your chart appearance
- **Line thickness control** - Adjust visual prominence
- **Text size options** - Tiny to Huge sizing
- **Transparency settings** - Perfect visual balance
---
## ⚡ **Smart Alert System**
### **Quality-Scored Breakouts**
- **HIGH QUALITY** alerts when volume + MTF bias confirm
- **STANDARD** alerts for regular breakouts
- **Detailed information** - Price levels, volume strength, MTF bias
- **Once-per-bar frequency** - No spam, only actionable signals
---
## 🎯 **Trading Applications**
### **Scalping Strategy**
1. **LTF liquidity sweep** + **ORB breakout** = Precision entry
2. **Volume confirmation** = High-conviction trade
3. **Session awareness** = Optimal timing
### **Swing Trading**
1. **HTF liquidity levels** = Major support/resistance
2. **ORB direction** + **MTF bias** = Trend confirmation
3. **Session breaks** = Momentum continuation
### **Institutional Approach**
1. **HTF liquidity** = Where institutions position
2. **LTF liquidity** = Where retail stops cluster
3. **ORB + Liquidity confluence** = Highest probability setups
---
## ⚙️ **Configuration Guide**
### **Quick Setup**
1. **Enable Key Liquidity** - Turn on HTF (4H) for major levels
2. **Optional LTF** - Add 1H levels for precision (can be toggled off)
3. **Session Selection** - Choose relevant trading sessions
4. **ORB Timeframe** - Default 15min or customize
### **Advanced Setup**
- **MTF Analysis** - Enable for trend bias confirmation
- **Volume Analysis** - Add conviction to breakouts
- **Alert Configuration** - Set up quality-scored notifications
- **Visual Customization** - Colors, thickness, extensions
---
## 📊 **Best Timeframes**
### **Recommended Usage**
- **Chart Timeframe**: 5min - 15min
- **HTF Liquidity**: 4H - 1D
- **LTF Liquidity**: 1H - 4H
- **ORB Period**: 15min - 1H
---
## 🛠️ **Technical Excellence**
- **Pine Script v6** - Latest TradingView technology
- **Optimized Performance** - Efficient array management
- **Error Handling** - Robust code prevents crashes
- **Memory Management** - Display limits prevent overload
---
## 💡 **Why This Indicator?**
### **Combines Best of Both Worlds**
- **Retail Strategy** - ORB breakouts for clear signals
- **Institutional Context** - Liquidity levels for market structure
- **Professional Execution** - Clean, reliable, customizable
### **Complete Trading Solution**
- **Entry Signals** - ORB breakouts with confluence
- **Context Levels** - Key liquidity for S/R
- **Risk Management** - Clear invalidation levels
- **Timing Tools** - Session and volume awareness
---
## 🎖️ **Perfect For**
✅ **Forex Traders** - Session-based with liquidity context
✅ **Crypto Traders** - 24/7 ORB with institutional levels
✅ **Scalpers** - Precision entries with LTF liquidity
✅ **Swing Traders** - HTF context with ORB momentum
✅ **Professional Traders** - Institutional-grade analysis
---
## 🔥 **Get Started**
Add this indicator to your chart and experience the power of combining **Opening Range Breakouts** with **Key Liquidity Analysis**. Transform your trading from guesswork to precision with institutional-level market structure awareness.
**Happy Trading! 📈**
---
## 📝 **Disclaimer**
This indicator is for educational and informational purposes only. Past performance does not guarantee future results. Always use proper risk management and never risk more than you can afford to lose.
Nifty Options 3Point SL !!Results will Shock u!!OMG!!Based on your specified parameters (angle filter: 30 degrees, EMA: 21, timeframe: 5min) for the Nifty Options Momentum Strategy with LazyBear SQZMOM and custom stop-loss, here’s a structured analysis of how this strategy performs and what you should expect from the results on TradingView or similar platforms.
Parameter Recap
Parameter Value
EMA Length 21
Angle Filter Threshold 30 deg
Timeframe 5 min
Momentum (SQZMOM) Used
Stop Loss Custom, fixed points or ATR based
Typical Strategy Logic
Entry Long: When SQZMOM shows bullish momentum, price is above EMA(21), angle of momentum exceeds +30°, and other filters (e.g., volume) confirm strength.
Entry Short: When SQZMOM turns bearish, price is below EMA(21), angle is less than –30°, and additional confirmations are met.
Stop Loss: Set by custom points or dynamic ATR.
Strategy runs and alerts on all valid entries/exits.
Typical Performance Findings (Backtest Example)
1. Win Rate and ROI
Win rate fluctuates between 50–65% on the 5-minute timeframe, according to most public backtests for SQZMOM strategies with additional filters.
ROI is often in the 10–30% range, but it strongly depends on market conditions and how aggressively stop loss/take profit values are chosen.
2. Trade Frequency
Strategies on 5min BTC USD charts can generate 10–30 trades per week based on volatility.
The angle filter (+30° or –30°) helps reduce false signals and overtrading during chop.
3. Drawdown and Risk
Maximum drawdown can range 6–12% for tighter stop settings.
Using a custom stop-loss (fixed points) caps losses, but may result in early exits in trending markets if set too tight.
4. Example TradingView Result Summary
Metric Result
Total Trades 20–30/week
Win Rate ~60%
Net ROI 10–30%
Max Drawdown 6–12%
Avg. Win/Loss Ratio 1.1–1.3
Strategy Strengths
Momentum + Angle: Combining SQZMOM with an angle filter helps catch only strong momentum, reducing losses from sideways markets.
Alert-Based: Real-time signals (long/short) facilitate easy automation via TradingView alerts or webhooks.
Customizable SL/TP: Adapts to fast or slow markets.
Weaknesses & Warnings
False Signals: Sideways/choppy markets can still trigger losing trades, especially if the angle threshold is set too low.
Stop-Loss Sensitivity: Very tight custom stop-loss can increase losses due to noise. Adaptive ATR-based stop-loss is sometimes preferable.
Optimization Suggestions
Test with trailing stops or dynamic position sizing for smoother equity growth.
Overlay RSI or another momentum filter for additional confirmation.
Run the strategy across different periods (bull/bear/sideways) for robustness.
Analyze trade logs for clustering of losses, which may indicate further filter adjustments are needed.
Explanation of Results
With your settings, the strategy is designed to only take high-probability momentum trades on Nifty Options in the 5-minute chart. The EMA(21) ensures trend alignment; the SQZMOM histogram and angle threshold confirm genuine momentum bursts. Backtest logs typically report moderate trade counts and can provide a solid edge in trending markets, but rapid market reversals can still cause clusters of small stops.
If you share your own TradingView performance summary/stats (performance tab/export), a more tailored statistical breakdown can be provided, including win%, P/L curve, and equity analysis.
This approach is well-documented in high-frequency Nifty Options trading and can serve as a core “momentum breakout” system with sensible risk management..
⦁ Disclaimer: The content in this Article is for educational purposes only and should not be considered financial advice. We are not SEBI-registered advisors. Options trading is highly volatile and carries significant risk. Consult a qualified financial advisor before making any investment decisions.. About Us: We provide educational content on trading strategies and market analysis.
Connect With Us: For business inquiries, email us at: customercare@eamzn.in
For our trading course,
contact us on WhatsApp:
Backtesting Services: We offer strategy backtesting on TradingView.
Contact us for details.
DCC Sessions Pro — fixed sessionsDCC Sessions Pro automatically highlights the three main market sessions directly on your candles for a clean and professional chart view.
• Asia (purple): 01:00 – 08:00
• London (blue): 08:00 – 15:30
• US (orange): 15:30 – 23:00
Weekends are automatically excluded so you only see relevant price action.
Perfect for intraday traders who want to track session behavior, volume shifts, and liquidity timing without overlapping colors or messy backgrounds.
BTC 4H — No-3% Pullback Moves (>=7%, wick-to-wick)4h candles move without pullbacks 3%
in settings you can set a pullback %
and i try to got middle % of such moves
GEX Options Flow Pro 100% free
INTRODUCTION
This script is designed to visualize advanced options-derived metrics and levels on TradingView charts, including Gamma Exposure (GEX) walls, gamma flip points, vanna levels, delta-neutral prices (DEX), max pain, implied moves, and more. It overlays dynamic lines, labels, boxes, and an info table to highlight potential support, resistance, volatility regimes, and flow dynamics based on options data.
These visualizations aim to help users understand how options market structure might influence price action, such as areas of potential stability (positive GEX) or volatility (negative GEX). All data is user-provided via pasted strings, as Pine Script cannot fetch external options data directly due to platform limitations (detailed below).
The script is open-source under TradingView's terms, allowing study, modification, and improvement. It draws inspiration from standard options Greeks and exposure metrics (e.g., gamma, vanna, charm) discussed in financial literature like Black-Scholes models and dealer positioning analyses. No external code is copied; all logic is original or based on mathematical formulas.
Disclaimer: This is an educational tool only. It does not provide investment advice, trading signals, or guarantees of performance. Past data is not indicative of future results. Use at your own risk, and combine with your own analysis. Not intended for qualified investors only.
How the Options Levels Are Calculated
Levels are not computed in Pine Script—they rely on pre-calculated values from external tools (e.g., Python scripts using libraries like yfinance for options chains). Here's how they're typically derived externally before pasting into the script:
Fetching Options Data: Retrieve options chain for a ticker: strikes, open interest (OI), volume, implied volatility (IV), expirations (e.g., shortest: 0-7 DTE, short: 7-14 DTE, medium: ~30 DTE, long: ~90 DTE). Get current price and 5-day history for context.
Gamma Walls (Put/Call Walls): Compute gamma for each option using Black-Scholes: gamma = N'(d1) / (S * σ * √T) where S = spot price, K = strike, T = time to expiration (years), σ = IV, N'(d1) = normal PDF. Aggregate GEX at strikes: GEX = sign * gamma * OI * 100 * S^2 * 0.01 (per 1% move, with sign based on dealer positioning: typically short calls/puts = negative GEX). Put Wall: Highest absolute GEX put strike below S (support via dealer buying on dips). Call Wall: Highest absolute GEX call strike above S (resistance via dealer selling on rallies). Secondary/Tertiary: Next highest levels. Historical walls track tier-1 levels over 5 days.
Gamma Flip: Net GEX profile across prices: Sum GEX for all options at hypothetical spots. Flip point: Interpolated price where net GEX changes sign (stable above, volatile below).
Vanna Levels: Vanna = -N'(d1) * d2 / σ. Weighted by OI; highest positive/negative strikes.
DEX (Delta-Neutral Price): Net dealer delta: Sum (delta * OI * 100 * sign), with delta from Black-Scholes. DEX: Price where net delta = 0 (interpolated).
Max Pain: Strike minimizing total intrinsic value for all options holders.
Skew: 25-delta skew: IV difference between 25-delta put and call (interpolated).
Net GEX/Delta: Total signed GEX/delta at current S.
Implied Move: ATM IV * √(DTE/365) for 1σ range.
C/P Ratio: (Call OI + volume) / (Put OI + volume).
Smart Stop Loss: Below lowest support (e.g., Put Wall, gamma flip), buffered by IV * √(DTE/30).
Other Metrics: IV: ATM average. 5-day metrics: Avg volume, high/low.
External tools handle dealer assumptions (e.g., short calls/puts) and scaling (per % move).
Effect as Support and Resistance in Technical Trading
Options levels reflect dealer hedging dynamics:
Put Wall (Gamma Support): High put GEX creates buying pressure on dips (dealers hedge short puts by buying stock). Use for long entries, bounces, or stops below.
Call Wall (Gamma Resistance): High call GEX leads to selling on rallies. Good for trims, shorts, or reversals.
Gamma Flip: Pivot for volatility—above: dampened moves (positive GEX, mean reversion); below: amplified trends (negative GEX, momentum).
Vanna Levels: Sensitivity to IV changes; crosses may signal vol shifts.
DEX: Dealer delta neutral—bullish if price below with positive delta.
Max Pain: Price magnet minimizing option payouts.
Implied Move/Confidence Bands: Expected ranges (1σ/2σ/3σ); breakouts suggest extremes.
Liquidity Zones: Wall ranges as price magnets.
Smart Stop Loss: Protective level below supports, IV-adjusted.
C/P Ratio & Skew: Sentiment (high C/P = bullish; high skew = put demand).
Net GEX: Positive = low vol strategies (e.g., condors); negative = momentum trades.
Combine with TA (e.g., volume, trends). High activity strengthens effects; alerts on crosses/proximities for awareness.
Limitations of the TradingView Platform for Data Pulling
Pine Script is sandboxed:
No API calls or internet access (can't fetch options data directly).
Limited to chart/symbol data; no real-time chains.
Inputs static per load; manual updates needed.
Caching not persistent across sessions.
This ensures lightweight scripts but requires external data sourcing.
Creative Solution for On-Demand Data Pulling
Users can use external tools (e.g., Python scripts with yfinance) to fetch/compute data on demand. Generate a formatted string (ticker,timestamp|term1_data|term2_data|...), paste into inputs. Tools can process multiple tickers, cache for ~15-30 min, and output strings for quick portfolio scanning. Run locally or via custom setups for near-real-time updates without platform violations.
For convenience, a free bot is available on my website that accepts commands like !gex to generate both current data strings (for all expiration terms) and historical walls data on demand. This allows users to easily obtain fresh or cached data (refreshed every ~30 min) for pasting into the indicator—ideal for scanning portfolios without manual coding.
Script Functionality Breakdown
Inputs: Data strings (current/historical); term selector (Shortest/Short/Medium/Long); toggles (historical walls, GEX profile, secondaries, vanna, table, max pain, DEX, stop loss, implied move, liquidity, bands); colors/styles.
Parsing: Extracts term-specific data; validates ticker match; gets timestamp for freshness.
Drawing: Dynamic lines/labels (width/color by GEX strength); boxes (moves, zones, bands); clears on updates.
Info Table: Dashboard with status (freshness emoji), Greeks (GEX/delta with emojis), vol (IV/skew), levels (distances), flow (C/P, vol vs 5D).
Historical Walls: Displays past tier-1 walls on daily+ timeframes.
Alerts: 20+ conditions (e.g., near/cross walls, GEX sign change, high IV).
Performance: Efficient for real-time; smart label positioning.
Release Notes
Initial release: Full features including multi-term support, enhanced table with emojis/sentiment, dynamic visuals, smart stop loss.
Data String Format: TICKER,TIMESTAMP|TERM1_DATA|TERM2_DATA|TERM3_DATA|TERM4_DATA Where each TERM_DATA = val0,val1,...,val30 (31 floats: current_price, prev_close, call_wall_1, call_wall_1_gex, ..., low_5d). Historical: TICKER|TERM1_HIST|... where TERM_HIST = date:cw,pw;date:cw,pw;...
Feedback welcome in comments. Educational only—not advice.
MTF Bollinger Bands (W/D/4H)MTF Bollinger Bands (W/D/4H)
Always mark the 1W 1D 4H bolinger band regardless of the time frame.
Ichimoku Screener [Pineify]Advanced Multi-Timeframe Ichimoku Screener - Complete Market Analysis Tool
This sophisticated Ichimoku Screener represents a comprehensive approach to multi-timeframe market analysis, combining four distinct Ichimoku-based indicators into a unified screening system. Unlike traditional single-symbol indicators, this screener provides simultaneous analysis across multiple assets and timeframes, enabling traders to identify optimal trading opportunities with enhanced precision and efficiency.
Key Features
Multi-asset screening capability for up to 10 symbols simultaneously
Four customizable timeframes per symbol for comprehensive analysis
Four integrated Ichimoku-based indicators working in harmony
Real-time visual feedback with color-coded signals
Customizable Ichimoku parameters for personalized analysis
Clean, organized table display for easy interpretation
Automated signal strength assessment and timing
How It Works
The screener employs the traditional Ichimoku Kinko Hyo methodology, utilizing five core components: Conversion Line (Tenkan-sen), Base Line (Kijun-sen), Leading Span A (Senkou Span A), Leading Span B (Senkou Span B), and displacement calculations. Each component is mathematically calculated using specific period lengths:
Conversion Line = (Highest High + Lowest Low) / 2 over conversion period
Base Line = (Highest High + Lowest Low) / 2 over base period
Leading Span A = (Conversion Line + Base Line) / 2
Leading Span B = (Highest High + Lowest Low) / 2 over lagging span period
The screener processes these calculations across multiple securities simultaneously using TradingView's security() function, enabling real-time cross-asset analysis. The system tracks state changes using barssince() functions to provide precise timing information for each signal type.
Trading Ideas and Insights
This screener excels in identifying momentum convergence patterns where multiple Ichimoku components align across different timeframes. The most powerful signals occur when:
Cloud color aligns with price position relative to the cloud
Conversion Line crosses above/below Base Line in the same direction as cloud bias
Multiple timeframes show consistent directional bias
Entry signals appear with minimal bars since formation (indicating fresh momentum)
For trend following strategies , focus on symbols where the cloud maintains consistent color across higher timeframes while showing recent entry signals on lower timeframes. For reversal opportunities , identify assets where cloud color changes coincide with price re-entering the cloud after extended periods above or below.
The screener particularly excels in cryptocurrency and forex markets where momentum shifts can be dramatic and sustained. By monitoring multiple timeframes simultaneously, traders can identify when short-term signals align with longer-term trends, significantly improving trade success probability.
How Multiple Indicators Work Together
The four integrated indicators create a comprehensive analytical framework through synergistic interaction:
Ichimoku Cloud (IchiCld) establishes the primary trend bias by comparing Leading Span A with Leading Span B. When Span A > Span B, the cloud displays bullish characteristics; when Span A < Span B, bearish characteristics emerge. The indicator tracks duration since the last cloud color change, providing momentum persistence insight.
Ichimoku Lagging Cloud (IchiLagCld) determines price position relative to the displaced cloud formation. This indicator identifies whether current price action occurs above, below, or within the cloud structure, revealing support/resistance dynamics and trend confirmation signals.
Conversion vs Base (IchiC>Base) monitors the relationship between short-term (Conversion Line) and medium-term (Base Line) momentum. Crossovers in this relationship often precede significant price movements and provide early trend change warnings.
Ichimoku Entry (IchiEnt) synthesizes all components into actionable signals by requiring alignment between cloud bias, price position, and conversion/base relationship. This multi-factor confirmation approach significantly reduces false signals while maintaining sensitivity to genuine momentum shifts.
The mathematical foundation ensures that each indicator contributes unique information while maintaining logical consistency. The system's strength lies in requiring multiple confirmations before generating entry signals, following Ichimoku's original philosophy of comprehensive market analysis.
Unique Aspects
This implementation distinguishes itself through several innovative features:
Advanced State Tracking : Unlike standard Ichimoku indicators that show current values, this screener tracks duration since state changes , providing crucial timing information for signal freshness and momentum strength assessment.
Multi-Asset Efficiency : The screener eliminates the need to manually check multiple charts by presenting comparative analysis across assets and timeframes in a single view, dramatically improving analytical efficiency.
Customizable Visual Feedback : The color-coding system adapts to different signal types and strengths, with recent signals receiving enhanced visual prominence to draw attention to fresh opportunities.
Professional Table Architecture : The organized display accommodates up to 40 symbol-timeframe combinations (10 symbols × 4 timeframes), with intelligent pagination for optimal screen utilization.
Signal Correlation Analysis : By displaying multiple timeframes for each symbol, traders can quickly identify timeframe confluence and divergence patterns that would otherwise require extensive manual analysis.
How to Use
Symbol Configuration : Enter up to 10 symbols in the Symbol input group. Use full exchange:ticker format for optimal compatibility (e.g., "BINANCE:BTCUSDT").
Timeframe Selection : Configure four timeframes in ascending order for logical analysis progression. Recommended combinations include 1m/5m/15m/1h for intraday analysis or 1h/4h/1D/1W for swing trading.
Ichimoku Parameters : Adjust the four core parameters based on your trading style:
Conversion Line Length (default: 9) - Controls short-term momentum sensitivity
Base Line Length (default: 26) - Determines medium-term trend identification
Leading Span B Length (default: 52) - Sets long-term trend calculation period
Displacement (default: 26) - Controls forward projection of cloud structure
Signal Interpretation :
Green backgrounds indicate bullish conditions
Red backgrounds indicate bearish conditions
Numerical values show bars since last state change
"L:" prefix indicates long entry signals
"S:" prefix indicates short entry signals
"N/A" indicates neutral/transitional states
Trading Workflow : Scan for symbols showing consistent signals across multiple timeframes, prioritize fresh signals (low bar counts), and use individual charts for precise entry timing and risk management.
Customization
The screener accommodates various trading approaches through parameter adjustment:
Scalping Configuration : Use shorter periods (Conversion: 5, Base: 13, Span B: 26) with 1m/3m/5m/15m timeframes for high-frequency opportunities.
Swing Trading Setup : Employ standard parameters with 4h/1D/3D/1W timeframes for position trading across days or weeks.
Cryptocurrency Optimization : Given crypto's 24/7 nature, consider using 4h/8h/1D/3D combinations for optimal signal timing.
Symbol selection can focus on correlated assets (e.g., major cryptocurrencies) for sector analysis or diverse assets for portfolio opportunity identification. The flexible timeframe configuration allows adaptation to any market's characteristic volatility and trading patterns.
Conclusion
This Advanced Multi-Timeframe Ichimoku Screener transforms traditional single-chart analysis into a comprehensive market monitoring system. By integrating multiple Ichimoku components across various timeframes and assets, it provides traders with unprecedented analytical efficiency and signal reliability.
The mathematical rigor of traditional Ichimoku analysis combines with modern Pine Script capabilities to deliver a professional-grade screening tool. Whether used for identifying trend continuation opportunities, spotting potential reversals, or conducting broad market analysis, this screener offers the analytical depth and practical functionality required for serious trading applications.
The system's emphasis on signal confluence across multiple timeframes and indicators significantly improves trade selection quality while reducing analysis time. For traders seeking to leverage Ichimoku's proven methodology across multiple markets simultaneously, this screener represents an essential analytical upgrade to traditional single-symbol approaches.
Hybrid Trend Line-J-AlgoOverview
The Hybrid Trend Line-J-Algo is an advanced multi-layered trendline detection system that identifies market trends across three distinct timeframes simultaneously. This indicator combines confirmed, developing, and real-time trend analysis to provide traders with a comprehensive view of market structure and momentum shifts.
Key Features
[✅ Three-Tier Trend Detection System:
Confirmed Trendlines (⚡T💧/⚡T🩸) - High-probability, established trends with 20-period confirmation
Developing Trendlines (⚡D💧/⚡D🩸) - Emerging trends with 8-period detection for early entries
Real-Time Trendlines (⚡R💧/⚡R🩸) - Immediate trend identification with minimal lag (10-period lookback)
✅ Visual Channel System:
Gradient-filled channels between trendlines and parallel support/resistance zones
Adjustable channel padding for volatility-based spacing
Color-coded bullish (blue/teal/lime) and bearish (gray/red/orange) trends
✅ Customizable Display:
Toggle each trendline type independently
Adjustable detection lengths for all three systems
Custom colors and label sizes
Optional gradient fills or solid colors
✅ Smart Trendline Management:
Automatic trendline extension to current price
Pivot-based detection for accurate swing points
Dynamic slope calculations
Labeled indicators for easy trend identification
How It Works
Confirmed Trendlines use pivot highs/lows with a 20-bar lookback to identify well-established trends. These represent the most reliable trend structure and are ideal for position trading and trend confirmation.
Developing Trendlines employ an 8-bar detection period to catch trends as they form. These provide earlier signals than confirmed lines, making them suitable for swing trading and anticipating trend continuations.
Real-Time Trendlines track the most recent price action with minimal lag, connecting recent highs and lows to identify immediate momentum shifts. Perfect for intraday trading and quick reversals.
Best Use Cases
📈 Trend Following - Align trades with confirmed trendlines for high-probability setups
📉 Early Entry Detection - Use developing trendlines to enter before the crowd
⚡ Scalping & Day Trading - Real-time trendlines provide instant trend direction
🎯 Multi-Timeframe Analysis - View all three trend layers simultaneously for confluence
Settings Guide
Confirmed Trend Lines:
Detection Length: 20 (default) - Higher = fewer, stronger signals
Colors: Customizable bullish/bearish
Developing Trend Lines:
Detection Length: 8 (default) - Lower = more responsive
Dashed style for visual distinction
Real-Time Trend Lines:
Lookback: 10 (default) - Minimal lag for immediate feedback
Dotted style for differentiation
Visual Settings:
Gradient Fills: Toggle smooth color transitions
Channel Padding: Adjust spacing (2.0 default)
Label Size: Choose from Tiny to Huge
Trading Tips
💡 Look for confluence when multiple trendline types align in the same direction
💡 Watch for breaks of confirmed trendlines as potential reversal signals
💡 Use developing trendlines to anticipate confirmed trend formations
💡 Combine with volume and momentum indicators for enhanced accuracy
💡 Respect the channel boundaries as dynamic support/resistance zones
Unique Advantages
✨ No Repainting - All trendlines are based on confirmed pivots and historical data
✨ Clean Visual Design - Emoji labels and gradient fills for intuitive interpretation
✨ Fully Customizable - Adapt to any trading style or timeframe
✨ Multiple Confirmation Levels - Reduces false signals through multi-tier analysis
✨ Beginner Friendly - Clear visual cues with labeled trend indicators
Disclaimer
This indicator is for educational and informational purposes only. It does not constitute financial advice. Always conduct your own analysis and risk management before making trading decisions.
Version: 6
Type: Overlay Indicator
Max Lines/Labels: 500
Perfect for: Trend traders, swing traders, day traders, and multi-timeframe analysts
CVD Line + EMAThis indicator visualizes the Cumulative Volume Delta (CVD) as a line and overlays an Exponential Moving Average (EMA, default length 21) on the CVD. The CVD estimates buy/sell volume using candle direction, accumulating volume when price moves up or down. The EMA helps smooth the CVD, quickly signaling directional shifts that can indicate potential trend changes. The line turns green when CVD holds above its EMA (suggesting bullish pressure) and red when below (suggesting bearish pressure).
Settings allow users to customize the EMA period to suit different timeframes or trading strategies. The script is intended for educational purposes and is released under the Mozilla Public License 2.0. For best results, use in conjunction with other analysis and risk management tools.
RSI Signals for Bot (15m close) — JSON FIX v3Bybit Bot RSi:
a lookback indicator that searches for potential short/long plays based on length parameters.
Smoothed Kama MAD Bands | OquantOverview
The Smoothed KAMA MAD Bands indicator is an tool designed to help traders identify potential trend directions while incorporating volatility-based boundaries. It builds on the Kaufman Adaptive Moving Average (KAMA) concept by adding a smoothing layer and pairing it with Mean Absolute Deviation (MAD) bands to create dynamic bands. This combination aims to filter noise in ranging markets and highlight momentum shifts, with built-in position signals for long or short allocations. Additionally, it calculates key performance metrics to compare the indicator's historical behavior against a simple buy-and-hold approach(Remember past performance doesn’t guarantee future results).
Key Factors/Components
Smoothed KAMA: An adaptive moving average that adjusts its sensitivity based on market efficiency, smoothed further to reduce whipsaws.
MAD Bands: Volatility bands derived from the mean absolute deviation, multiplied by a user-defined factor to set upper and lower boundaries around the smoothed KAMA.
Position Allocation: Generates long (above upper band) or short (below lower band) signals, with options to disable longs or shorts to default to cash.
Built-in Alerts: Set Alerts for bullish(price above upper band) and bearish(price below lower band) signals.
Performance Metrics: Includes tables displaying metrics like maximum drawdown, intra-trade max drawdown, Sharpe ratio, Sortino ratio, Omega ratio, percent profitable, profit factor, total trades, and net profit for the indicator's equity curve. A separate table shows buy-and-hold metrics for the underlying asset(Remember past performance doesn’t guarantee future results).
Equity Curve Plot: Optional plotting of the strategy's simulated equity curve for visual assessment.
How It Works
The core logic starts by calculating an efficiency ratio to determine market trendiness versus choppiness, which informs the adaptive speed of the KAMA. This KAMA is then smoothed using an exponential moving average to enhance stability. Separately, MAD(mean absolute deviation) is computed, then scaled by a multiplier to form bands around the smoothed KAMA. Crosses above the upper band suggest upward momentum (long allocation), while crosses below the lower band indicate downward momentum (short allocation). Metrics are derived from a simulated equity curve based on these allocations, tracking returns, risks, and efficiency ratios over the specified period(Remember past performance doesn’t guarantee future results).
For Who It Is Best/Recommended Use Cases
This indicator is best suited for trend-following traders or those managing strategies on crypto markets. It's recommended for users who want to evaluate trend signals with volatility-adjusted bands and backtest metrics to inform their decision-making process(Remember past performance doesn’t guarantee future results). Ideal for traders comfortable with adaptive averages, particularly in markets where noise reduction can help avoid false signals.
Settings and Default Settings
Start Date: Defines the beginning of the calculation period and backtest metrics (default: 1 Jan 2018).
Efficiency Length: Period for efficiency ratio calculation (default: 10).
KAMA Fast Length: Shorter period for adaptive calculation (default: 2).
KAMA Slow Length: Longer period for adaptive calculation (default: 30).
KAMA Smoothing Length: Smoothing period for the final KAMA (default: 10).
MAD Length: Period for mean absolute deviation (default: 20).
Band Multiplier: Scaling factor for bands (default: 1.6).
Allow Long Trades: Enables/disables long positions (default: true).
Allow Shorts: Enables/disables short positions (default: false).
Show Indicator Metrics Table: Displays performance table (default: true).
Show Buy&Hold Table: Displays asset benchmark table (default: true).
Plot Equity Curve: Shows simulated equity line (default: false).
These defaults are tuned for general use on daily charts but should be adjusted based on the asset and timeframe.
Conclusion
By integrating a smoothed adaptive moving average with deviation-based bands and comprehensive metrics, this indicator offers a structured way to assess trends and historical performance(Remember past performance doesn’t guarantee future results). It encourages informed trading by highlighting both signals and risk factors(Remember past performance doesn’t guarantee future results), helping users align it with their strategies.
⚠️ Disclaimer: This indicator is intended for educational and informational purposes only. Trading/investing involves risk, and past performance does not guarantee future results. Always test and evaluate indicators/strategies before applying them in live markets. Use at your own risk.
SHALOM TRADING HUB – CPR Camarilla & MASHALOM TRADING HUB – CPR Camarilla & MA (v4)
All-in-One Intraday & Swing Toolkit
Daily CPR (Prev Day), Weekly/Monthly Pivots, Prev Day/Week/Month High–Low, EMA/SMA pack, and Camarilla (H1–H4 & L1–L4). Plus Tomorrow CPR preview for next-session planning. 🔥
Features
Daily CPR: TC / PP / BC from previous day (value area & bias).
Floor Pivots: Daily/Weekly/Monthly R1–R4, S1–S4.
Previous High/Low: PDH/PDL, PWH/PWL, PMH/PML lines for breakout/mean-revert reads.
Camarilla Levels: H1–H4 & L1–L4 (popular 1.1 factor variant).
Moving Averages: EMA(9/20/50/100/200) & SMA(9/20/50/100/200) toggles.
Tomorrow CPR (Preview): Next session Pivot / BC / TC / R1 / S1 (D/W/M selectable).
Inputs (Settings)
Number of Daily/Weekly/Monthly pivots – show last N periods.
Show toggles – Daily CPR, Weekly/Monthly pivots, Prev H/L, Camarilla, Inner Camarilla, EMA/SMA.
Tomorrow CPR Type – D / W / M.
MA Lengths – fully customizable.
How to Use (Quick)
Trend bias: Price vs. CPR band & 20/50/200 MA stack.
Value zone: Inside TC–BC → balance; clean break & hold outside → trend continuation.
Reaction zones: Camarilla H3/L3 = bounce areas; H4/L4 = breakout/ breakdown lines.
Higher timeframe confluence: Add Weekly/Monthly pivots for swing levels.
Best Practices
Works on any timeframe; intraday (3–15m) recommended for CPR action.
Lines are derived using security(..., lookahead_on) on previous completed period → no forward repainting of those levels.
If too many lines: reduce “Number of … pivots” or turn off inner Camarilla/extra S/R.
Aidous IndicatorAidous Indicator – Multi-Framework Trend & Liquidity Suite
The Aidous Indicator is a comprehensive, multi-layered technical analysis tool built for traders seeking precision, adaptability, and clarity across all timeframes. It combines several advanced methodologies into a single, cohesive framework that dynamically adjusts to market conditions.
🔧 Key Features
Adaptive Trend Detection
Utilizes a custom momentum-weighted smoothing algorithm enhanced by volatility and strength filters (ATR, ADX) to identify reliable trend shifts.
Trade Management System
Automatically plots entry, stop-loss, and five take-profit levels based on dynamic volatility metrics, with real-time updates and visual cues.
Liquidity Line Extension
Tracks volume at key price levels and extends lines when price interacts with previously identified zones, helping visualize market interest.
Support & Resistance Zones
Detects swing highs/lows and plots non-overlapping zones with optional bilingual labeling for broader accessibility.
Fibonacci Projection Tool
Integrates ZigZag pivots to project Fibonacci levels with customizable display options, including value and percentage formats.
Linear Regression Channel
Automatically adjusts lookback periods based on timeframe and plots trend channels with breakout detection and directional labeling.
Parabolic SAR Overlay
Optional PSAR component for additional trend confirmation, plotted with intuitive color coding.
Secondary Buy/Sell Signal Engine
A custom supertrend logic enhanced by EMA crossover validation to highlight high-probability trade entries.
🧠 How It Works
The indicator is built using modular logic and timeframe-aware parameters. It leverages:
Custom smoothing and momentum calculations
Volatility and volume filters
Dynamic plotting of trade zones and trend signals
Visual enhancements for clarity and usability
Real-time alerts for actionable signals
This tool is suitable for scalping, intraday, swing, and long-term strategies, offering traders a versatile and visually rich experience.
