Supports and ResistancesThis tool is ideal for traders who want to focus on key price levels for entry, exit, or stop-loss decisions. By customizing the violation and exception settings, users can filter out weaker levels and focus on more significant support and resistance zones.
Indikatoren und Strategien
[Aegis]DCA grid Strategy for Crypto### **Crypto Market Long-Only Strategy (DCA with Risk Mitigation)**
This strategy is a Long-only approach, often using a Dollar-Cost Averaging (DCA) method for staggered entries. It is designed to mitigate the risk of being unable to exit a position for a prolonged period, which typically occurs when a series of initial DCA entries result in a losing trade.
The strategy has the following characteristics:
#### **1. Markets**
* Trade in highly liquid Perpetual Futures markets for cryptocurrencies.
#### **2. Position Sizing**
The initial entry quantity is determined by setting the **Initial Entry Ratio** in the input values.
* If the **Subsequent Entry Multiplier** is 1, the maximum position size upon final entry is determined by:
$$\text{Initial Entry Quantity} \times \text{Number of Entries}$$
* If the **Subsequent Entry Multiplier** is $x$, the maximum position size is determined by the following cumulative sum:
$$\text{1st Entry Quantity} + (\text{1st Entry Quantity} \times x) + (\text{2nd Entry Quantity} \times x) + \dots + ((\text{n-1)th Entry Quantity} \times x)$$
#### **3. Entries**
* The **1st Entry** is determined by the **Entry Sensitivity**. The first entry is automatically calculated based on an oversold condition; setting a higher sensitivity value will trigger the 1st entry in a more significant oversold situation.
* Entries from the **2nd Entry onwards** are made sequentially based on the generated **Grid Spacing**.
* The **Grid Spacing** is calculated as an equal interval:
$$\text{Grid Spacing} = \frac{\text{Final Entry Distance}}{(\text{Number of Entries} - 1)}$$
#### **4. Exits**
This strategy **does not distinguish between Stop-Loss and Take-Profit**. All entered quantities are liquidated simultaneously upon mean reversion. This transaction may result in either a loss or a profit. Generally:
* If the price recovery is rapid, the trade finishes with a profit.
* If the price recovery is slow, the trade finishes with a loss.
Therefore, the **'resilience' or 'recovery speed'** of the underlying asset significantly influences the long-term performance of the strategy.
크립토 시장에 특화된 Long only전략입니다. DCA 방식의 분할 매수 전략이 대체로 이익 거래가 아닌 경우, 장기간 탈출하지 못할 리스크를 보완한 전략입니다.
이 전략은 다음과 같은 특징을 가지고 있습니다.
##### 1. 시장 (Markets)
• 유동성이 풍부한 코인 무기한 선물 시장에서 거래한다.
##### 2. 포지션 크기 (Position Sizing)
인풋 값에 최초진입비율을 설정함으로써 1차 진입의 수량이 결정됩니다.
- 추가 진입배수가 1일 때, 최대 진입 시 포지션 크기는 "1차 진입수량 * 진입횟수"에 의해 결정됩니다.
- 추가 진입배수가 x일때,
1차진입물량 + (1차진입 물량 * x) + (2차진입 물량 * x) ..... + (n-1)차 진입물량 * x 의 방식으로 최대 진입 시 포지션 크기가 결정 됩니다
##### 3. 진입 (Entries)
- 1차 진입은 진입 둔감도에 의해 결정됩니다. 1차 진입은 과매도 상황을 자동적으로 계산하여 결정되며, 둔감도를 높은 값으로 설정하면 더 큰 과매도 상황에서 1차 진입이 결정됩니다.
- 2차 이후의 진입은 생성된 그리드 간격에 의해 순차적으로 진입하게 됩니다.
- 그리드 간격은 최종 진입 간격 / (진입 횟수 - 1) 으로 등간격으로 이루어집니다.
##### 4. 청산 (Exits)
이 전략은 손절과 익절을 구분하지 않습니다. 평균 회귀를 하는 경우 진입한 모든 물량을 일시에 청산하며, 이 거래는 손실 거래일 수도, 이익 거래일 수도 있습니다. 일반적으로, 가격 회복이 빠르게 되는 경우 이익 거래로 마무리되고, 가격 회복이 느린 경우 손실 거래로 마무리되기 때문에, 장기적으로 종목의 '회복탄력성'이 전략의 성과에 영향을 줄 수 있습니다.
[Aegis]Original Turtle System for CryptoAs Richard Dennis once said, "Even if I published all the Turtle rules in the newspaper right now, no one would be able to 'execute' them," and 40 years later, even in modern financial markets (like the crypto market) where all the conditions have been disclosed, this strategy continues to deliver amazing performance. The following outlines the original Turtle rules as disclosed by Curtis Faith in his book *Way of the Turtle*, and a TradingView algorithm that translates these rules for application in the crypto market.
---
### **The Original Turtle Trading Rules**
#### **1. Markets**
* Trade in liquid futures markets.
#### **2. Position Sizing**
The volatility measure, **N**, is used as the basis for all calculations.
**True Range (TR) Calculation:** Select the largest of the following three values:
* Current High - Current Low
* $|\text{Current High} - \text{Previous Close}|$ (Absolute Value)
* $|\text{Current Low} - \text{Previous Close}|$ (Absolute Value)
**N (Average True Range, ATR) Calculation:**
$$N = \frac{(19 \times \text{PDN} + \text{TR})}{20}$$
* **PDN:** Previous Day's N value
* **TR:** Current True Range
This is similar to a 20-day Exponential Moving Average, and is sometimes calculated using a Simple Moving Average.
**Unit Size Calculation:**
$$\text{Unit Size (Number of Contracts)} = \frac{1\% \text{ of Account Equity}}{(\text{N} \times \text{Dollars per Point})}$$
* **Dollars per Point (Tick Value):** The value of a 1-point change in price.
#### **3. Entries**
* **Entry:** Buy when the 55-day high is broken to the upside, and sell when the 55-day low is broken to the downside.
#### **5. Stops**
* The stop-loss for every unit is set at a price **2N** unfavorable from the entry price.
* For each additional unit added, the stop price for the **entire position** is adjusted favorably by **1/2 N**.
* In other words, the stop price of the last unit entered becomes the stop price for the entire position.
#### **6. Exits**
The exit rule for profitable positions (before a stop is hit) is as follows:
* **Long Positions:** Exit when the 20-day low is broken to the downside.
* **Short Positions:** Exit when the 20-day high is broken to the upside.
*Note: This exit rule is followed only if the price has moved up by a value greater than or equal to the N value multiplied by the criterion for changing the take-profit line (the original Korean text mentions a condition based on N, which is commonly interpreted as requiring a profit before applying the channel exit).*
리처드 데니스가 앞서 "내가 지금 당장 터틀의 모든 규칙을 신문에 공표한다고 해도 아무도 '실행'하지 못할 것"라고 말했듯 40년이 흘러 모든 조건이 공개된 현대 금융시장(크립토 시장)에서도 여전히 이 전략은 놀라운 퍼포먼스를 기록하고 있습니다. 아래는 커티스 페이스가 자신의 저서 '터틀의 방식'에 공개한 오리지널 터틀 규칙과 이를 알고리즘으로 변환하여 크립토마켓에 적용한 트레이딩뷰 알고리즘 입니다.
##### 1. 시장 (Markets)
• 유동성이 풍부한 선물 시장에서 거래한다.
##### 2. 포지션 크기 (Position Sizing)
변동성 측정 단위인 N을 모든 계산의 기초로 사용한다.
**True Range (TR) 계산:** 다음 세 가지 값 중 가장 큰 값을 선택한다.
- • 현재 고가 - 현재 저가
- • |현재 고가 - 전일 종가| (절대값)
- • |현재 저가 - 전일 종가| (절대값)
**N (Average True Range, ATR) 계산:**
N = (19 × PDN + TR) / 20
- • PDN: 이전 날의 N 값
- • TR: 현재 True Range
이는 20일 지수이동평균과 유사하며, 단순이동평균으로 계산하기도 한다.
**1 유닛(Unit)의 크기 계산:**
유닛 크기 (계약 수) = 계좌 자산의 1% / (N × 틱 가치)
• 틱 가치(Dollars per Point): 1포인트 변동 시의 가치
##### 3. 진입 (Entries)
- • 진입: 55일 고가를 상향 돌파하면 매수, 55일 저가를 하향 돌파하면 매도한다.
##### 5. 손절 (Stops)
- • 모든 유닛에 대한 손절 기준은 진입 가격으로부터 2N 만큼 불리한 가격에 설정한다.
- • 유닛이 추가될 때마다 전체 포지션의 손절 가격을 1/2 N 만큼 유리한 방향으로 상향 조정한다.
- • 즉, 마지막으로 진입한 유닛의 손절 가격이 전체 포지션의 손절 가격이 된다.
##### 6. 청산 (Exits)
손절에 도달하기 전 수익 중인 포지션의 청산 규칙은 다음과 같다.
- • 매수 포지션: 20일 저가를 하향 돌파할 때 청산한다.
- • 매도 포지션: 20일 고가를 상향 돌파할 때 청산한다.
단, N값에 익절선 변경 기준을 곱한 값 이상으로 가격이 상승할 경우, 위 규칙을 따른다.
Support and Resistance ProSupport and Resistance Pro
A method that specializes in trading at support and resistance zones, supply and demand, or POC zones of Volume Profile. This is a versatile indicator and foundation for you.
Automatically connect TradingView and MetaTrader 5 (MT5) for automatic trading and order management via PineConnector
The system includes a risk management grid including the levels: Stop Loss (SL), Break-even (BE), Trailing Stop, TP1 (1/4), TP2 (2/4), TP3 (3/4), TP4 (4/4). This grid helps you easily monitor and manage orders on TradingView in parallel with automatic order management on MT5.
Suitable for all markets: Forex, Gold, Crypto, Stocks, as long as you use MT5 and TradingView
If you do not need to trade automatically via MT5, the Support and Resistance Pro can also be used as an effective indicator in visual order management on TradingView charts, helps maintain discipline and good trading psychology (less Stress or FOMO)
Support and Resistance Pro system quick guide:
Step 1: Click a point in the support and resistance zone (supply and demand) to draw a horizontal line
When a new resistance/supply or support/demand zone appears (fresh), we draw a reaction band, including the order execution price (yellow and blue lines), and the stop loss price (red line). You can completely adjust the width of the blue and red bands with the input parameters.
Select the direction you want to trade, for example in the picture we are choosing the Sell (Short) order
Step 2: Enter the input parameters for the system including:
Direction of Long (Buy), Short (Sell), Turn Off (No trade) orders
Width of Entry price (trigger), and width of Stoploss (SL) range
Order volume, TP1, TP2, TP3, TP4 levels
Maximum number of transactions on a support and resistance zone (supply and demand)
Step 3: Set up automatic trading from TradingView via PineConnector EA and MT5
If you do not need automatic trading in MT5, skip this step. Entry signals and risk management grids will still be displayed on the TradingView chart for you to see, but there is no connection and automatic trading signal shooting and automatic order management from TradingView to MT5 via PineConnector.
We need to create an Alert in TradingView and attach it to this Indicator so that the Alert's trading signals are transmitted via MetaTrader 5 (MT5) via PineConnector.
When trading, you need to turn on 3 software at the same time to be able to connect to each other to operate: TradingView, MetaTrader 5 (MT5), PineConnector
See more details in the screenshots
Step 4 - Complete setup, and wait for trading signals
You have completed the setup steps for the Indicator, ready when there is a trading signal
You do not need to sit in front of the screen all day if you do not want. The system has been set up to execute and manage orders automatically.
Of course, sometimes you should still check your transaction status, in case of unexpected problems such as lost internet connection.
If you still have questions about this Indicator, please email tuanwukongvn@gmail.com for support.
Adaptive Fibonacci Structure (AFS)Adaptive Fibonacci Structure (AFS) automatically detects recent swing highs and lows, builds adaptive support and resistance zones, and extends them using Fibonacci expansion levels (1.236, 1.382, 1.5, 1.618).
Each level becomes a living structure — boxes and lines evolve, merge, and disappear as price interacts with them.
The indicator highlights active Fibonacci zones, marks broken levels with fading traces, and dynamically adjusts transparency to reflect current price proximity.
It helps visualize the breathing rhythm of market structure: how Fibonacci relationships expand, contract, and adapt as new highs and lows emerge.
Trader Jumblo Indicator Zone V6Trader Jumblo Zone (v6) displays automatically detected price zones based on recent candle structures and optional fair value gaps (FVGs).
It visually marks potential supply and demand regions and updates their state as price evolves.
Zones extend forward on the chart for context, with optional labels and transparency adjustments once they are interacted with.
The indicator highlights when price comes near or moves significantly away from a fresh zone.
It can generate alerts for both proximity (“approaching”) and momentum (“running”) conditions, measured relative to ATR.
This version is written in Pine Script v6 and includes safety and stability improvements for array handling, box/label management, and pruning logic.
It maintains visual clarity even with many active zones and prevents runtime errors that may occur in earlier versions.
🧩 Main features
Detects structural candle-based zones and optional FVG zones.
Distinguishes between fresh and touched zones.
Extends zones forward with adjustable length and transparency.
Optional labels with high/low information.
Visual markers for “Standby” and “Running” conditions.
Alert conditions for proximity and strong movement.
Watermark option for visual identification.
Safe and optimized handling of arrays, boxes, and labels.
⚙️ Inputs overview
Zone lookback and maximum zone count.
Minimum zone height (in ticks).
Zone extension length.
Colors for fresh supply/demand zones and transparency for touched ones.
ATR parameters for proximity and movement detection.
Toggle for Fair Value Gap zones and labels.
Watermark customization.
🛠️ Version notes
Improved internal safety: prevents errors when deleting or modifying boxes/labels.
Pruning logic refined to consistently maintain the set zone limit.
Simplified and cleaner running-distance calculations.
No changes to the detection logic or visual structure.
📢 Alerts
Approaching Fresh Zone – triggered when price nears a fresh zone.
Price Running – triggered when price moves strongly away from a zone.
POSITION SIZER📊 POSITION SIZER - DUAL RISK MANAGEMENT (Long/Short) v5.1
🎯 WHAT IS THIS?
Professional risk management tool that automatically calculates the optimal position size for LONG and SHORT trades. Supports Forex, Stocks, Futures, Index CFDs, and Cryptocurrencies.
✨ KEY FEATURES
✅ Dual Risk Management - Independent calculations for Long and Short positions
✅ Auto/Manual Margin - Leverage control from 1x to 20x
✅ 5 Instruments - Forex, Stocks, Futures, CFDs, Crypto
✅ 2 SL Methods - Dynamic ATR or Structural (Highs/Lows)
✅ Complete Panel - 35+ real-time metrics
✅ Cost Calculation - Commission and Spread included
✅ Partial TP - Close profits at multiple points
✅ SL/TP Lines - Visual levels on chart
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⚙️ QUICK START
Open Pine Script Editor in TradingView
Create new indicator (+ → Scripts → Indicator)
Delete default code
Paste indicator code
Press Alt+Enter or Add to Chart
Panel appears automatically
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📋 MAIN INPUTS
1️⃣ CONFIGURATION
├─ 💰 Capital Total: Your trading capital
├─ ⚠️ Risk %: Risk per trade (recommended 0.5%-1%)
├─ 📊 Direction: Long/Short/Both
├─ 🧮 Auto Margin: Enable automatic leverage
└─ ⚡ Leverage Factor: 1x-20x multiplier
2️⃣ SL/TP STRATEGY
├─ 🛑 SL/TP Method: ATR or Structural
├─ 🎯 Risk:Reward Ratio: Example 2.0 = 1:2
├─ ATR Multiplier: If method = ATR
├─ Lookback Candles: If method = Structural
└─ SL Buffer: Extra safety distance in pips
3️⃣ COSTS (OPTIONAL)
├─ 💸 Include Commission: Add trading costs
└─ 📊 Include Spread: Add spread costs
4️⃣ INSTRUMENTS
├─ Asset Type: Forex/Stocks/Futures/CFDs/Crypto
└─ Lot Display: Micro/Mini/Standard/All (Forex only)
5️⃣ DISPLAY
├─ Show Panel: On/Off
├─ Show SL/TP Lines: On/Off
└─ Panel Position: Top/Bottom × Left/Right
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📊 PANEL EXPLANATION
HEADER:
🎯 Calculator - Calculation method used
- Auto/Manual/Out of Range
CONFIGURATION:
💰 Capital: Your total capital
⚠️ Risk: Money at risk per trade
📊 R:R: Risk/Reward ratio
🎲 Min. WR: Minimum win rate to break even
🏦 Max Margin: Maximum investment allowed
LONG SECTION:
🛑 SL | Price | Pips | % | Risk USD
🎯 TP | Price | Pips | % | Profit USD
💰 Nominal Value: Total investment USD
📊 Capital Used: Percentage of capital used
⚡ Leverage: Position multiplier
📦 Size: Lots/Shares/Contracts/Units
SHORT SECTION:
(Identical to LONG but inverted)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
💡 PRACTICAL EXAMPLES
EXAMPLE 1: Forex Day Trader
─────────────────────────────
Capital: $2,000
Risk: 1% = $20 per trade
Method: ATR (2.0x, Period 14)
R:R: 2.0 (1:2)
Result:
├─ SL: 50 pips
├─ TP: 100 pips
├─ Size: 1 Micro lot
└─ Max Profit: $40 (Risk $20)
EXAMPLE 2: Stock Swing Trader
────────────────────────────
Capital: $25,000
Risk: 0.5% = $125 per trade
R:R: 3.0 (1:3)
Auto Margin: 1.5x
Result:
├─ SL: $190 (5 pips distance)
├─ TP: $210 (15 pips - 3x risk)
├─ Shares: 25 units
└─ Max Profit: $375 (Risk $125)
EXAMPLE 3: Crypto Scalper
────────────────────────
Capital: $1,000
Risk: 2% = $20 per trade
Auto Margin: 5x
Result:
├─ SL: $150 distance
├─ TP: $225 distance
├─ Units: 0.0001 BTC
└─ Max Profit: $30 (Risk $20)
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❓ FREQUENTLY ASKED QUESTIONS
Q: What does "1% Risk" mean?
A: You lose maximum 1% of capital per trade.
Capital $10,000 → Max loss $100
Q: ATR vs Structural - Which is better?
A: ATR = Based on volatility (dynamic)
Structural = Based on price levels (static)
Use ATR for volatile, Structural for ranging markets
Q: How do I enable auto leverage?
A: 1. Enable "Auto Margin Calculation"
2. Set "Leverage Factor" (1x-20x)
3. Margin calculates automatically
Q: Do costs affect SL/TP?
A: NO. Costs are informational only.
They reduce profits, not risk.
Q: Why is my position size so small?
A: Low risk %, wide SL, or small capital.
Solution: Increase risk % (carefully) or tighten SL
Q: Does it work on all timeframes?
A: YES. Better on D1, H4, H1.
Avoid very low timeframes (<5 min) due to spread
Q: What is "Min. WR"?
A: Minimum win rate to break even.
R:R 1:2 requires 33% win rate
R:R 1:3 requires 25% win rate
Q: Can I use for backtesting?
A: YES. Manually validate your strategy historically.
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⚡ TIPS & TRICKS
COMPARE SCENARIOS
├─ Try different R:R ratios
├─ Adjust leverage factors
└─ Watch how position size changes
VALIDATE YOUR STRATEGY
├─ Enter real price levels
├─ Compare theoretical vs actual
└─ Adjust based on market conditions
OPTIMIZE FOR YOUR STYLE
├─ Scalpers: Risk 2%, R:R 1:1
├─ Day Traders: Risk 1%, R:R 1:2
└─ Swing: Risk 0.5%, R:R 1:3
MONITOR COSTS
├─ Enable commission and spread
├─ See impact on profits
└─ Compare different brokers
USE AUTO MARGIN WISELY
├─ Keep safe capital aside
├─ Use 1.5x-2x only if needed
└─ Never use maximum (20x too risky)
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🔧 TROUBLESHOOTING
❌ Panel doesn't appear
✅ Solution: Ensure "Show Panel" = On
❌ Text too small
✅ Solution: Increase "Panel Font Size"
❌ Lines not visible
✅ Solution: Enable "Show SL/TP Lines"
❌ Position size is 0
✅ Solution: Increase capital or reduce SL distance
❌ Forex not calculating correctly
✅ Solution: Select Asset Type = "Forex"
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📚 RECOMMENDED LEARNING
Study Position Sizing
└─ Search: "Position Sizing" on YouTube
Understand Risk:Reward
└─ Search: "Risk Reward Ratio" on Google
Practice on Demo
└─ Always demo before real account
Do Manual Backtesting
└─ Validate strategy historically
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📝 CHANGELOG
V5.1 (CURRENT)
✅ Auto Margin Calculation fix
✅ 5 instrument support
✅ Improved Cost Calculation
✅ Optimized Panel (35+ metrics)
V5.0
✅ Advanced Modularity
✅ Manual/Auto Margin Support
✅ Configurable Leverage
V4.0
✅ Complete Panel
✅ Two SL/TP Methods
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⚠️ DISCLAIMER
📌 IMPORTANT:
├─ NOT financial advice
├─ NO profit guarantee
├─ Use at your own risk
├─ ALWAYS use stop losses
├─ Practice on DEMO first
└─ Trading has risk of total loss
Author is NOT responsible for losses or gains.
Each trader is responsible for their decisions.
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🎉 READY TO TRADE!
With this tool you have a professional position
sizing system. Remember the basics:
DISCIPLINE - Follow your plan
RISK - Never risk more than 1% per trade
PATIENCE - Don't go all-in every trade
ANALYSIS - Validate before entering
Good luck with your trading! 📈
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📞 SUPPORT
For issues or suggestions:
Ensure you're using Pine Script v6
Check that code compiles without errors
Provide detailed problem description
Happy Trading! 🚀
MarketMonkey-Indicator-Set-1 - GMMA open 🧠 MarketMonkey-Indicator-Set-1 — GMMA Open
GMMA (Guppy Multiple Moving Average) Toolkit for Trend Clarity & Timing
The MarketMonkey GMMA Open indicators brings a clean, high-performance visual of trend strength and direction using multiple exponential moving averages (EMAs) across short- and long-term time frames.
Designed for traders who want to see momentum shifts and market transitions as they happen, this version overlays directly on the price chart for quick and confident reads.
🔍 How It Works
* Short-term EMAs (3–15) track trader sentiment and momentum.
* Long-term EMAs (30–60) show investor trend commitment.
* The indicator dynamically colors the long-term EMAs:
* 🔵 Blue : Upward momentum
* 🔴 Red : Downward momentum
When the short-term group expands above the long-term group, it signals strength and potential continuation. Tightening or compression may warn of pauses or reversals.
💡 Features
* 12 adjustable EMA periods (customize your GMMA spacing)
* Automatic color shifts for trend clarity
* Live price flag for easy reference
* Compact ticker/date display in the top-right corner
* Minimalist, overlay-based design — no clutter, just clarity
📈 Best Used For
* Spotting early trend changes
* Confirming continuation or breakout setups
* Identifying compression zones before reversals
* Overlaying on ASX, S&P, FX, Gold, or Crypto charts
🔔 Part of the MarketMonkey Indicator Set series — tools built for real-world trend recognition and momentum trading.
Close vs SuperTrend % DiffOn Every Bar: SuperTrend and percent_diff are recalculated; the line plot updates with coloring.
On Visible Bars Only: High/low extremes and sums/counts accumulate via VC checks.
On Last Bar: Table refreshes with current stats, reflecting the visible view.
User Interaction: Zooming/panning triggers VC.barIsVisible() to recompute aggregates dynamically—no full history scan needed.
Edge Cases:
Empty visible range: High/low default to na; averages guarded against zero counts.
Division by zero in percent_diff: Unlikely, as st is ATR-based and rarely zero, but Pine handles na gracefully.
Performance: Efficient for long histories (e.g., daily charts over years) since stats are view-localized.
This indicator is useful for trend traders: Watch for percent_diff crossing zero for signals, and use the table to gauge visible volatility (e.g., if avg high > avg low in magnitude, bullish bias). Customize SuperTrend params (3,10) for different assets/timeframes. To extend, you could add alerts on threshold crosses or integrate dir for trend filters.
Min_Position_Size_ALLLibrary "Min_Position_Size_ALL"
getMinPositionSize(symbol_, type_, broker_)
Parameters:
symbol_ (string)
type_ (string)
broker_ (string)
VOLUME PROFILE WITH FOOTPRINT AND IMBALANCEVOLUME PROFILE WITH FOOTPRINT AND IMBALANCE
A professional-grade market structure analysis tool that combines three powerful trading concepts into one comprehensive indicator: Volume Profile, Footprint Charts, and Imbalance detection. This script provides optimum-level market analysis for trading.
KEY FEATURES
1. Multi-Day Volume Profile
Customizable Row Density: Adjust price level granularity for precise volume distribution analysis
Point of Control (POC): Automatically identifies the price level with highest traded volume
Value Area Calculation: Highlights the price range containing 70% of the day's volume (customizable percentage)
Value Area High (VAH) & Low (VAL): Clear demarcation of institutional acceptance zones
Horizontal Volume Bars: Visual representation of buying vs. selling pressure at each price level
Color-Coded Volume: Distinguishes between value area volume and outlier volume for better visual clarity
2. Previous Day Reference Levels
Previous Day High/Low (PDH/PDL): Critical support/resistance levels from prior session
Previous Day POC: Yesterday's highest volume node - often acts as magnetic price level
Previous Day VAH/VAL: Prior session's value boundaries for gap analysis and mean reversion setups
All previous day levels extend into current session with customizable colors and line styles
3. Virgin Point of Control (VPOC)
Untouched POC Identification: Automatically tracks POC levels that haven't been revisited by price
Real-time Validation: Monitors whether subsequent price action has tested each historical POC
Multi-Day Tracking: Maintains VPOC levels across multiple sessions until filled
High-Probability Targets: Virgin POCs often act as magnets for future price action
4. Footprint Zone Analysis
Footprint Zone Detection: Identifies price levels touched only once during the session
Automated Ribbon Consolidation: Groups consecutive Footprint Zone into visual zones
Price Range Sensitivity: Automatically adjusts granularity based on instrument price
Historical Persistence: Consolidates previous day's footprint zones for multi-day context
Auction Failure Zones: Footprint Zone often indicate areas of poor liquidity and potential reversal points
5. Three-Candle Imbalance Detection
Bullish Imbalance
Bearish Imbalance
Visual Markers: Clear circular indicators on all three candles forming the imbalance
Customizable Colors: Separate colors for bullish and bearish imbalances
Gap Validation: Ensures meaningful price displacement before flagging imbalance
VWAP Balance HeatmapVWAP Balance Heatmap visually highlights where price stands relative to the dynamic equilibrium of bullish and bearish VWAP averages. The indicator builds two running VWAP arrays — one for bullish candles, one for bearish — then plots their averages and the midpoint between them. It fills the space between price and this midpoint, coloring it green when price is above balance and red when below. The result is a smooth heatmap that reveals whether the market is trading in premium or discount zones, helping you see shifts in momentum and balance without clutter or lag.
Kernel Market Dynamics🔍 Kernel Market Dynamics Pro - Advanced Distribution Divergence Detection System
OVERVIEW
Kernel Market Dynamics Pro (KMD Pro) is a revolutionary market regime detection system that employs Maximum Mean Discrepancy (MMD) - a cutting-edge statistical technique from machine learning - to identify when market behavior diverges from its recent historical distribution patterns. The system transforms complex statistical divergence analysis into actionable trading signals through kernel density estimation, regime classification algorithms, and multi-dimensional visualization frameworks that reveal hidden market transitions before traditional indicators can detect them.
WHAT MAKES IT ORIGINAL
While conventional indicators measure price or momentum divergence, KMD Pro analyzes distribution divergence - detecting when the statistical properties of market returns fundamentally shift from their baseline state. This approach, borrowed from high-frequency trading and quantitative finance, uses kernel methods to map market data into high-dimensional feature spaces where regime changes become mathematically detectable. The system is the first TradingView implementation to combine MMD with real-time regime visualization, making institutional-grade statistical arbitrage techniques accessible to retail traders.
HOW IT WORKS (Technical Methodology)
1. KERNEL DENSITY ESTIMATION ENGINE
Maximum Mean Discrepancy (MMD) Calculation:
The core innovation - measures distance between probability distributions:
• Maps return distributions to Reproducing Kernel Hilbert Space (RKHS)
• Computes empirical mean embeddings for reference and test windows
• Calculates supremum of mean differences across all RKHS functions
• MMD = ||μ_P - μ_Q||_H where H is the RKHS induced by kernel k
Three Kernel Functions Available:
RBF (Radial Basis Function) Kernel:
• k(x,y) = exp(-||x-y||²/2σ²)
• Gaussian kernel with smooth, infinite-dimensional feature mapping
• Bandwidth σ controls sensitivity (0.5-10.0 user configurable)
• Optimal for normally distributed returns
• Default choice providing balanced sensitivity
Laplacian Kernel:
• k(x,y) = exp(-|x-y|/σ)
• Exponential decay with heavier tails than RBF
• More sensitive to outliers and sudden moves
• Ideal for volatile, news-driven markets
• Faster regime shift detection at cost of more false positives
Cauchy Kernel:
• k(x,y) = 1/(1 + ||x-y||²/σ²)
• Heavy-tailed distribution from statistical physics
• Robust to extreme values and fat-tail events
• Best for cryptocurrency and emerging markets
• Most stable signals with fewer whipsaws
Implementation Details:
• Reference window: 30-300 bars of baseline distribution
• Test window: 10-100 bars of recent distribution
• Double-sum kernel matrix computation with O(m*n) complexity
• EMA smoothing (period 3) reduces noise in raw MMD
• Real-time updates every bar with incremental calculation
2. REGIME DETECTION FRAMEWORK
Three-State Regime Classification:
STABLE Regime (MMD < threshold):
• Market follows historical distribution patterns
• Mean-reverting behavior dominates
• Low probability of breakouts
• Reduced position sizing recommended
• Visual: Subtle background coloring
SHIFTING Regime (threshold < MMD < 2×threshold):
• Distribution divergence detected
• Transition period with directional bias emerging
• Optimal entry zone for trend-following
• Increased volatility expected
• Visual: Yellow/orange zone highlighting
EXTREME Regime (MMD > 2×threshold):
• Severe distribution anomaly
• Black swan or structural break potential
• Maximum caution required
• Consider hedging or exit
• Visual: Red/magenta warning zones
Adaptive Threshold System:
• Base threshold: 0.05-1.0 (default 0.15)
• Volatility adjustment: ±30% based on ATR ratio
• Regime persistence: 20-bar minimum for stability
• Cooldown periods prevent signal clustering
3. DIRECTIONAL BIAS DETERMINATION
Multi-Factor Direction Analysis:
Distribution Mean Comparison:
• Recent mean = SMA(normalized_returns, test_window)
• Reference mean = SMA(normalized_returns, reference_window)
• Direction = sign(recent_mean - reference_mean)
Momentum Confluence:
• Price momentum = close - close
• Volume momentum = volume/SMA(volume, reference_window)
• Weighted composite direction score
Trend Alignment:
• Fast EMA vs Slow EMA positioning
• Slope analysis of regression line
• Multi-timeframe bias confirmation (optional)
4. SIGNAL GENERATION ARCHITECTURE
Entry Signal Logic:
Stage 1 - Regime Shift Detection:
• MMD crosses above threshold
• Sustained for minimum 2 bars
• No signals within cooldown period
Stage 2 - Direction Confirmation:
• Distribution mean aligns with momentum
• Volume ratio > 1.0 (optional)
• Price above/below VWAP (optional)
Stage 3 - Risk Assessment:
• Calculate ATR-based stop distance
• Verify risk/reward ratio > 1.5
• Check for nearby support/resistance
Stage 4 - Signal Generation:
• Long: Regime shift + bullish direction
• Short: Regime shift + bearish direction
• Extreme: MMD > 2×threshold warning
5. PROBABILITY CLOUD VISUALIZATION
Adaptive Confidence Intervals:
• Standard deviation multiplier = 1 + MMD × 3
• Inner band: ±0.5 ATR × multiplier (68% probability)
• Outer band: ±1.0 ATR × multiplier (95% probability)
• Width expands with divergence magnitude
• Real-time adjustment every bar
Interpretation:
• Narrow cloud: Low uncertainty, stable regime
• Wide cloud: High uncertainty, shifting regime
• Asymmetric cloud: Directional bias present
6. MOMENTUM FLOW VECTORS
Three-Style Momentum Visualization:
Flow Arrows:
• Length proportional to momentum strength
• Width indicates confidence (1-3 pixels)
• Angle shows rate of change
• Frequency: Every 5 bars or on events
Gradient Bars:
• Vertical lines from price
• Height = momentum/ATR ratio
• Opacity based on strength
• Continuous flow indication
Momentum Ribbon:
• Envelope around price action
• Expands in momentum direction
• Color intensity shows strength
7. SIGNAL CONNECTION SYSTEM
Relationship Mapping:
• Links consecutive signals with lines
• Solid lines: Same direction (continuation)
• Dotted lines: Opposite direction (reversal)
• Maximum 10 connections maintained
• Distance limit: 100 bars
Purpose:
• Identifies signal clusters
• Shows trend development
• Reveals regime persistence
• Confirms directional bias
8. REGIME ZONE MAPPING
Unified Zone Visualization:
• Main zones: Full regime periods (entry to exit)
• Emphasis zones: Specific trigger points
• Historical memory: Last 20 regime shifts
• Color gradient based on intensity
• Border style indicates zone type
Zone Analytics:
• Duration tracking
• Maximum excursion
• Retest probability
• Support/resistance conversion
9. DYNAMIC RISK MANAGEMENT
ATR-Based Position Sizing:
• Stop loss: 1.0 × ATR from entry
• Target 1: 2.0 × ATR (2R)
• Target 2: 4.0 × ATR (4R)
• Volatility-adjusted scaling
Visual Target System:
• Entry pointer lines
• Target boxes with prices
• Stop boxes with invalidation
• Real-time P&L tracking
10. PROFESSIONAL DASHBOARD
Real-Time Metrics Display:
Primary Metrics:
• Current MMD value and threshold
• Risk level (MMD/threshold ratio)
• Velocity (rate of change)
• Acceleration (second derivative)
Signal Information:
• Active signal type and entry
• Stop loss and targets
• Current P&L percentage
• Bars since signal
Market Metrics:
• Directional bias (BULL/BEAR)
• Confidence percentage
• Win rate statistics
• Signal count tracking
Visual Design:
• Four position options
• Three size modes
• Five color themes
• Gauge visualizations
• Status banners
11. MMD INFO PANEL
Floating Statistics:
• Compact 3×4 table
• MMD vs threshold comparison
• Velocity with direction arrows
• Current bias indication
• Always-visible reference
FIVE COLOR THEMES
Quantum: Cyan/Magenta/Yellow - Modern, high contrast, optimal visibility
Matrix: Green/Red - Classic terminal aesthetic, traditional
Fire: Orange/Gold/Red - Warm spectrum, energetic feel
Aurora: Northern lights palette - Unique, beautiful gradients
Nebula: Deep space colors - Purple/Blue, futuristic
HOW TO USE
Step 1: Select Your Kernel
• RBF for normal markets (stocks, forex majors)
• Laplacian for volatile markets (small-caps, news-driven)
• Cauchy for fat-tail markets (crypto, emerging markets)
Step 2: Configure Bandwidth
• 0.5-2.0: Scalping (high sensitivity)
• 2.0-5.0: Day trading (balanced)
• 5.0-10.0: Swing trading (smooth signals)
Step 3: Set Analysis Windows
• Reference: 3-5× your holding period
• Test: Reference ÷ 3 approximately
• Adjust based on timeframe
Step 4: Calibrate Threshold
• Start with 0.15 default
• Increase if too many signals
• Decrease for earlier detection
Step 5: Enable Visuals
• Probability Cloud for volatility assessment
• Momentum Flow for direction confirmation
• Regime Zones for historical context
• Signal Connections for trend visualization
Step 6: Monitor Dashboard
• Check MMD vs threshold
• Verify regime state
• Confirm directional bias
• Review confidence metrics
Step 7: Execute Signals
• Wait for triangle markers
• Verify regime shift confirmed
• Check risk/reward setup
• Enter at close or next open
Step 8: Manage Position
• Place stop at calculated level
• Scale out at Target 1 (2R)
• Trail remainder to Target 2 (4R)
• Exit if regime reverses
OPTIMIZATION GUIDE
By Market Type:
Forex Majors:
• Kernel: RBF
• Bandwidth: 2.0-3.0
• Windows: 100/30
• Threshold: 0.15
Stock Indices:
• Kernel: RBF
• Bandwidth: 3.0-4.0
• Windows: 150/50
• Threshold: 0.20
Cryptocurrencies:
• Kernel: Cauchy
• Bandwidth: 2.5-3.5
• Windows: 100/30
• Threshold: 0.10-0.15
Commodities:
• Kernel: Laplacian
• Bandwidth: 2.0-3.0
• Windows: 200/60
• Threshold: 0.15-0.25
By Timeframe:
Scalping (1-5m):
• Test Window: 10-20
• Reference: 50-100
• Bandwidth: 1.0-2.0
• Cooldown: 5-10 bars
Day Trading (15m-1H):
• Test Window: 30-50
• Reference: 100-150
• Bandwidth: 2.0-3.0
• Cooldown: 10-20 bars
Swing Trading (4H-Daily):
• Test Window: 50-100
• Reference: 200-300
• Bandwidth: 3.0-5.0
• Cooldown: 20-50 bars
ADVANCED FEATURES
Multi-Timeframe Capability:
• HTF MMD calculation via security()
• Regime alignment across timeframes
• Fractal analysis support
Statistical Arbitrage Mode:
• Pair trading applications
• Spread divergence detection
• Cointegration breaks
Machine Learning Integration:
• Export signals for ML training
• Regime labels for classification
• Feature extraction support
PERFORMANCE METRICS
Computational Complexity:
• MMD calculation: O(m×n) where m,n are window sizes
• Memory usage: O(m+n) for kernel matrices
• Update frequency: Every bar (real-time)
• Optimization: Incremental updates where possible
Typical Signal Frequency:
• Conservative settings: 2-5 signals/week
• Balanced settings: 5-10 signals/week
• Aggressive settings: 10-20 signals/week
Win Rate Expectations:
• Trend following mode: 40-50% wins, 2:1 reward/risk
• Mean reversion mode: 60-70% wins, 1:1 reward/risk
• Depends heavily on market conditions
IMPORTANT DISCLAIMERS
• This indicator detects statistical divergence, not future price direction
• MMD measures distribution distance, not predictive probability
• Past regime shifts do not guarantee future performance
• Kernel methods are descriptive statistics, not AI predictions
• Requires minimum 100 bars historical data for stability
• Performance varies significantly across market conditions
• Not suitable for illiquid or heavily manipulated markets
• Always use proper risk management and position sizing
• Backtest thoroughly on your specific instruments
• This is an analysis tool, not a complete trading system
THEORETICAL FOUNDATION
The Maximum Mean Discrepancy was introduced by Gretton et al. (2012) as a kernel-based statistical test for comparing distributions. In financial markets, we adapt this technique to detect when return distributions shift, indicating potential regime changes. The mathematical rigor of MMD provides a robust, non-parametric approach to identifying market transitions without assuming specific distribution shapes.
SUPPORT & UPDATES
• Questions or configuration help via TradingView messaging
• Bug reports addressed within 48 hours
• Feature requests considered for monthly updates
• Video tutorials available on request
• Join our community for strategy discussions
FINAL NOTES
KMD Pro represents a paradigm shift in technical analysis - moving from price-based indicators to distribution-based detection. By measuring statistical divergence rather than price divergence, the system identifies regime changes that precede traditional breakouts. This anticipatory capability, combined with comprehensive visualization and risk management, provides traders with an institutional-grade toolkit for navigating modern market dynamics.
Remember: The edge comes not from the indicator alone, but from understanding when market distributions diverge from their normal state and positioning accordingly. Use KMD Pro as part of a complete trading strategy that includes fundamental analysis, risk management, and market context.
Custom Date MarkersCustom Date Markers - Pine Script Indicator
This indicator provides a powerful visual tool for technical and pattern analysis by allowing traders to mark up to 10 specific historical dates with customizable vertical lines on any chart. Each date can be assigned its own unique color, making it easy to categorize and distinguish between different types of events or market catalysts.
Primary Use Cases:
The indicator excels at identifying cyclical patterns and recurring market behavior. By marking significant dates such as earnings announcements, Federal Reserve meetings, dividend ex-dates, or seasonal events, traders can quickly visualize whether stocks consistently react in similar ways around these recurring dates. This is particularly valuable for discovering hidden patterns that might not be obvious from price action alone.
Practical Applications:
Earnings Analysis: Mark historical earnings dates to see if a stock tends to rally or sell-off before/after announcements
Macro Events: Identify how assets respond to FOMC meetings, CPI releases, or other economic data
Seasonal Patterns: Track dates that show recurring volatility or directional moves (like tax deadline periods, end-of-quarter re balancing, etc.)
Event Studies: Analyze the impact of company-specific events like product launches, FDA approvals, or leadership changes
Advanced Insights:
What makes this tool particularly interesting is its ability to reveal non-obvious correlations. For example, you might discover that a retail stock consistently experiences volume spikes 2-3 weeks before Black Friday across multiple years, or that certain tech stocks show weakness during specific conference dates. The color-coding feature allows you to layer multiple event types simultaneously—perhaps using red for bearish catalysts and green for bullish ones—creating a visual heat map of historical market reactions.
The indicator's 6-month default spacing (covering 4.5 years) is strategically designed to capture multiple business cycles while maintaining clarity on the chart. This timeframe is long enough to identify genuine patterns rather than coincidences, yet focused enough to remain relevant to current market conditions.
Pro Tip: Combine this indicator with volume analysis or other technical indicators to validate whether the patterns you observe are accompanied by meaningful market participation or if they're statistical noise.
[PS] Planetary Movements & Nakshatras - Adv Astrological Trading🌟 Planetary Movements & Nakshatras - Advanced Astrological Trading Indicator
📊 Overview
Planetary Movements & Nakshatras is a comprehensive Pine Script indicator that bridges ancient Vedic astrology with modern technical analysis. This powerful tool overlays planetary positions, transitions, alignments, and nakshatras (lunar mansions) directly on your price charts, providing unique insights into potential market movements based on celestial patterns.
🎯 Key Features
1. Real-Time Planetary Tracking
Displays current positions of 7 major celestial bodies: Sun ☉, Moon ☽, Mercury ☿, Venus ♀, Mars ♂, Jupiter ♃, and Saturn ♄
Shows each planet's current zodiac sign and nakshatra
Optional degree display for precise astronomical positioning
Color-coded labels for easy identification
2. Industry-Specific Intelligence
Choose from 15 industry classifications with customized planetary and nakshatra associations:
Technology - Mercury, Rahu, Uranus (Innovation & Communication)
Finance/Banking - Jupiter, Mercury, Venus (Wealth & Trade)
Healthcare/Pharma - Sun, Moon, Jupiter (Vitality & Healing)
Energy/Oil - Sun, Mars (Power & Energy)
Agriculture - Moon, Venus, Jupiter (Growth & Fertility)
Real Estate - Saturn, Mars, Venus (Property & Construction)
Media/Entertainment - Venus, Mercury, Moon (Arts & Creativity)
Transportation - Mars, Mercury, Moon (Movement & Travel)
Metals/Mining - Saturn, Mars, Sun (Minerals & Iron)
FMCG/Retail - Venus, Mercury, Moon (Commerce & Consumer Goods)
Telecom - Mercury, Rahu (Communication & Networks)
Automobile - Mars, Saturn, Mercury (Machinery & Engineering)
Defense - Mars, Sun, Saturn (War & Discipline)
Education - Jupiter, Mercury, Moon (Knowledge & Learning)
General - All planets (Universal application)
Primary planets for each industry are marked with ★ and highlighted with vibrant colors, while secondary planets appear muted.
3. 27 Nakshatras (Lunar Mansions)
Complete coverage of all 27 Vedic nakshatras from Ashwini to Revati:
Each nakshatra spans 13.33° of the zodiac
Industry-specific favorable nakshatras marked with ✓
Visual nakshatra boundaries with dotted lines
Configurable display: Lines, Labels, Both, or None
Enhanced visualization for auspicious nakshatras
4. Planetary Transitions & Sign Changes
Track when planets change zodiac signs (every 30°):
Triangle markers indicate sign transitions
Historical price impact displayed with each transition
Shows average upward ↑% and downward ↓% swing following the event
Significant transitions highlighted at chart bottom
Regular transitions appear at chart top
5. Planetary Alignments & Aspects
Detects major astronomical events:
Conjunctions - Planets in the same position (customizable orb: 1-15°)
Oppositions - Planets 180° apart (customizable orb: 1-15°)
Sun-Moon Conjunctions (New Moon) - Powerful market turning points
Sun-Moon Oppositions (Full Moon) - High volatility periods
Jupiter-Saturn Conjunctions - Major cycle indicators (every 20 years)
Background highlighting for major alignments
6. Advanced Pattern Detection System
Machine learning-inspired historical analysis:
Automatic Pattern Recognition - Identifies recurring planetary configurations
Swing Analysis - Calculates price movements following each event
Configurable Parameters:
Minimum Swing Threshold (0.5% - 50%)
Lookforward Period (5-180 days)
Minimum Occurrences (1-10 instances)
Statistical Tracking:
Count of pattern occurrences
Average upward swing percentage
Average downward swing percentage
Maximum upward swing
Maximum downward swing
Industry Relevance Filtering - Focus only on patterns relevant to your sector
7. Three Interactive Information Tables
📋 Industry Planet Guide Table (Configurable Position)
Shows primary planets to watch for your selected industry
Lists favorable nakshatras for optimal timing
Legend explaining symbols (★ = Primary, ✓ = Favorable)
Compact format with color-coded information
📊 Pattern Statistics Table (Configurable Position)
Historical performance data for all detected patterns
Sortable by significance
Columns: Pattern Name, Count, Avg↑%, Avg↓%, Max↑%, Max↓%, Relevance
Color-coded thresholds (green for bullish, red for bearish)
Industry relevance marked with ★
Shows up to 15 most significant patterns
🔮 Future Events Table (Configurable Position)
Projects planetary events up to 365 days into the future
Lists upcoming transitions, conjunctions, and oppositions
Shows historical average price impacts for each future event
Date, Event type, Sign/Nakshatra, Expected swing percentages
Significant events marked with ★
Displays up to 20 upcoming events
Table Positioning: Each table can be placed in any of 9 positions:
Top: Left, Center, Right
Middle: Left, Center, Right
Bottom: Left, Center, Right
8. Visual Enhancements
Nakshatra Boundary Lines - Dotted vertical lines every 27 bars
Color-Coded Events - Orange (Sun), Silver (Moon), Yellow (Mercury), Green (Venus), Red (Mars), Purple (Jupiter), Blue (Saturn)
Significance Highlighting - Bright colors for high-impact events, muted for regular events
Background Shading - Subtle yellow for Sun-Moon conjunctions, purple for Jupiter-Saturn conjunctions
Responsive Labels - Adjustable size (tiny, small, normal, large)
9. Astronomical Calculations
Julian Day Number conversion for precise date handling
Keplerian Orbital Elements for planetary position calculation
J2000 Epoch (January 1, 2000) as reference point
Accurate for historical, current, and future dates
Accounts for mean longitude and orbital mechanics
🎛️ Comprehensive Settings
Industry Settings
15 industry types with pre-configured planetary associations
Planets Group
Toggle planetary positions display
Toggle transition markers
Toggle alignment indicators
Planet Selection
Individual on/off switches for all 7 planets
Mix and match based on your trading strategy
Pattern Detection
Enable/disable pattern recognition
Minimum swing threshold (%)
Days to measure swing impact
Minimum pattern occurrences for validity
Highlight significant events
Filter by industry-relevant planets
Alignments
Conjunction orb (1-15°)
Opposition orb (1-15°)
Customizable sensitivity
Display Options
Label size selection
Show/hide degree measurements
Toggle all three information tables
Nakshatra display modes
Table Settings
Show/hide Future Events Table
Show/hide Pattern Statistics Table
Show/hide Industry Guide Table
Configure position for each table (9 positions)
Adjust future projection days (30-365)
Nakshatras
Display modes: Lines, Labels, Both, or None
Automatic favorable nakshatra highlighting
💡 Use Cases
Timing Market Entries & Exits
Identify high-probability periods using planetary alignments
Watch for favorable nakshatra transits in your industry
Track historical success rates of specific planetary configurations
Risk Management
Be aware of volatile periods (Full Moons, major transitions)
Reduce position sizes during unfavorable planetary periods
Increase exposure during auspicious nakshatra alignments
Industry-Specific Analysis
Technology stocks may respond to Mercury movements
Banking stocks may correlate with Jupiter-Venus alignments
Energy stocks may track Sun-Mars aspects
Long-Term Cycle Analysis
Jupiter-Saturn conjunctions mark major market cycles (20-year cycles)
Saturn transitions indicate sector rotation (2.5-year cycles)
Jupiter transitions show expansion/contraction phases (1-year cycles)
Intraday & Swing Trading
Moon transitions every 2.5 days for short-term timing
Mercury retrogrades for communication/tech sector volatility
Venus transitions for consumer goods and luxury items
Pattern Backtesting
Quantify historical price impacts of specific events
Build confidence in planetary timing strategies
Compare multiple patterns for optimal selection
📈 Performance & Optimization
Efficient Calculations - Optimized algorithms for minimal lag
Smart Pattern Storage - Tracks only significant patterns
Configurable Display Limits - Control label and line counts
Future Projection - Pre-calculates events without real-time overhead
Industry Filtering - Reduces noise by focusing on relevant patterns
🔧 Technical Specifications
Pine Script Version: 6
Chart Type: Overlay (true)
Max Labels: 500
Max Lines: 500
Max Boxes: 500
Calculation Method: Simplified Keplerian orbital mechanics
Date Range: Works for past, present, and future dates
Zodiac System: Tropical (Western) zodiac with Vedic nakshatras
🌙 Nakshatra Reference
All 27 nakshatras are supported with industry-specific favorable classifications:
Ashwini - Swift action, healing, pioneering (Tech, Auto, Transport)
Bharani - Transformation, restraint (Defense, Entertainment)
Krittika - Purification, cutting through (Energy, Real Estate, Metals)
Rohini - Growth, beauty, fertility (Finance, Agriculture, FMCG)
Mrigashira - Seeking, curiosity (Agriculture, Auto)
Ardra - Storm, transformation, breakthroughs (Tech, Telecom)
Punarvasu - Renewal, expansion (Agriculture, Transport, Telecom, Education)
Pushya - Nourishment, prosperity (Finance, Healthcare, Agriculture, Education)
Ashlesha - Control, mysticism (Healthcare)
Magha - Power, authority, leadership (Energy, Metals, Defense)
... and 17 more nakshatras with specific industry associations
🎨 Color Scheme
Sun ☉ - Orange (vitality, authority)
Moon ☽ - Silver (emotions, public)
Mercury ☿ - Yellow (communication, intellect)
Venus ♀ - Green (beauty, wealth, harmony)
Mars ♂ - Red (action, energy, conflict)
Jupiter ♃ - Purple (expansion, wisdom, fortune)
Saturn ♄ - Blue (restriction, discipline, structure)
📚 Trading Strategy Ideas
The Industry-Specific Strategy
Select your stock's industry classification
Focus only on primary planet transitions (marked with ★)
Wait for favorable nakshatra alignments (marked with ✓)
Check Pattern Statistics Table for historical success rate
Enter on confluence of favorable conditions
The Alignment Trading Strategy
Monitor Sun-Moon conjunctions (New Moons) for trend reversals
Track Sun-Moon oppositions (Full Moons) for volatility spikes
Use conjunction orb settings to fine-tune sensitivity
Compare with technical support/resistance levels
The Pattern Recognition Strategy
Enable Pattern Detection with your preferred parameters
Set minimum swing threshold based on your risk tolerance
Focus on patterns with high occurrence counts (5+)
Use Future Events Table to plan entries in advance
Backtest patterns in Pattern Statistics Table
The Nakshatra Timing Strategy
Identify favorable nakshatras for your industry
Wait for Moon to transit through favorable nakshatras
Combine with planetary transitions for stronger signals
Use nakshatra boundary lines for visual confirmation
⚠️ Disclaimer
This indicator is for educational and research purposes only. Planetary positions and astrological calculations should not be the sole basis for trading decisions. Always combine with fundamental analysis, technical analysis, and proper risk management. Past performance of planetary patterns does not guarantee future results. Trading involves substantial risk of loss.
🔄 Updates & Support
This indicator combines ancient wisdom with modern data analysis. While planetary positions are calculated using established astronomical formulas, the correlation between celestial events and market movements is a subject of ongoing research and debate. Use this tool as one component of a comprehensive trading strategy.
Simplified Fear & Greed Index (SFGI) by NeW📌 Overview
This indicator provides a Simplified Fear & Greed Index (SFGI), a general-purpose sentiment tool designed to analyze the psychological state of any single security or asset (including individual stocks, indices, and crypto). While traditional Fear & Greed indices are fixed on the broad market, the SFGI calculates sentiment based on the internal metrics of the specific asset currently viewed. The index ranges from 0 (Extreme Fear) to 100 (Extreme Greed).
📊 Methodology (Internal Factors)
The SFGI index is calculated by normalizing and combining several key factors over a rolling period:
Price Momentum: Deviation from a long-term Simple Moving Average (SMA).
52-Week Range Deviation: Current price position within the 52-week high-low range.
Volatility: Momentum of the Average True Range (ATR) / SMA of ATR.
A/D Line Momentum: Momentum of the Accumulation/Distribution Line, indicating the quality of buying/selling volume.
(Optional) Put/Call Ratio (PCR): The input Include Put/Call Ratio Factor allows you to include an external, broad-market factor (like USI:PC or INDEX:CPC) for correlation analysis.
⚠️ Important Note: Combine with Other Analysis
THIS IS A SIMPLIFIED SENTIMENT TOOL. This indicator is intended to be used only as a supplementary tool for market timing and sentiment confirmation. You must combine this index with comprehensive technical analysis (price action, volume, support/resistance) and fundamental research. Do not rely on this index alone for making any trading decisions. Use it to gauge the psychological state of the market for the specific asset you are viewing.
Amiya's Doji / Hammer / Spinning Top Breakout Strategy v5How it works
1. Pattern Detection (Previous Candle):
• Checks if total shadow length ≥ 2 × body.
• Checks if candle height (high − low) is between 10 and 21.5 points.
• If true → marks that candle as a potential Doji, Hammer, or Spinning Top.
2. Long Setup:
• LTP (close) crosses above previous candle high.
• Previous candle is a valid pattern candle.
• Stop Loss = 3 points below previous candle low.
• Take Profit = 5 × (high − low) of previous candle added to previous high.
3. Short Setup:
• LTP (close) crosses below previous candle low.
• Previous candle is a valid pattern candle.
• Stop Loss = 3 points above previous candle high.
• Take Profit = 5 × (high − low) of previous candle subtracted from previous low.
4. Visualization:
• Yellow background highlights pattern candles.
• Green ▲ and Red ▼ markers show entry points.
Deep yellow candles → represent Doji / Hammer / Spinning Top patterns
• Green triangle → Buy signal
• Red triangle → Sell signal
• Dotted green line + label → Target
• Dotted red line + label → Stop loss
• Gray background → Outside trading hours
• Auto close → All trades square off at 3:29 PM IST
Nancy's All-In-One [Private] [Institutional]A Private Institutional Tool by Design
PRIVATE ACCESS ONLY
This script is not for public usage or those casually scrolling through the indicator library. This is a private tool, built for precision, and extremely powerful in the wrong hands. Used properly, it can unlock financial freedom yes, it’s that potent.
“This is the closest you’ll get to peeking behind the curtain of institutional strategy without having a Bloomberg terminal or a Wall Street badge.”
– KC Research
What It Does
The Nancy All-In-One is the culmination of thousands of hours of backtesting, real-world application, and tactical insights drawn from elite strategies used at places like Renaissance Technologies, proprietary desks, and private equity firms.
This version fuses:
DTT Root Candles & Time-Zone Price Levels (including NY Judas, Kyoto, Osaka, etc.)
Intraday Sessions & Micro Box Models (Turncoat, Bishop, Knight, Big Ben, etc.)
Quarterly Micro Cycles — breaks down time into high-probability 90-minute blocks
Fib-Based Inner Intervals — ideal for sniper-level scalps or early entries
SMT Divergences, PD High/Low, NWOG/NDOG/EHPDA setups
Multi-Timeframe Visualization (with user control over display resolution)
Every line, label, and box drawn has a purpose, engineered to expose fractal imbalances, liquidity traps, and premium/discount zones with surgical accuracy.
How to Use It
Use the 1M or 5M chart — This script was optimized with lower-timeframe precision in mind. It works higher up, but that’s not its primary edge.
Turn on sessions you want under Turn Modules On group. Each session represents a model with its own behavior (e.g. Osaka Model = Asia liquidity expansion).
Price Lines — The "DTT Root Candles" levels are critical. These are not random timestamps—they represent algorithmic triggers derived from real volume and timing analysis.
Quarterly Cycles — Use these to trade from zone-to-zone with context. Each 90-minute block often contains a reversal, breakout, or liquidity sweep.
SMT, PDHL, NWOG, NDOG — These are best used with confluence. The more boxes and lines that agree, the higher your confidence.
Built for Traders Who Know the Game
This is not a magic button. It’s a complex system that assumes you're willing to study it, adapt it, and integrate it into your own strategy. It’s a tool—not a signal generator. It won't tell you when to buy or sell, but it will show you exactly where institutions are hunting.
Settings & Customization
You can toggle each element on/off to declutter your chart.
Change label sizes, opacity, and styles to suit your preferences.
Adjust session times if you're not in EST (UTC-5 default).
Works Best With:
1M to 15M charts (although elements scale up)
Liquid FX pairs, indices (SPX, NAS100), BTC, and ETH
Time-sensitive entries (news, killzones, session opens)
Final Note
This was developed internally by Nancy and private anon entities, and is still being actively expanded. Portions of the code are open-source, but most logic is proprietary and reverse-engineering resistant.
If you don’t know what NWOG, EQH/PDH, or SMT are—this isn’t for you. If you do... welcome to the other side.
Chanlun - Strokes & Central ZonesChanlun Indicator - Strokes and Central Zones
This indicator implements Chan lun's core concepts:
Bi (Stroke): Basic price movement units formed by local highs and lows
Zhongshu (Central Zone): Overlapping areas formed by at least 3 strokes
Extension Lines: Visual guides for the latest central zone boundaries
Key Features:
Automatic stroke identification based on local extremes
Central zone detection with customizable colors
Extension lines for latest central zone (upper/lower bounds)
Separate colors for strokes within central zones
Price labels on the axis for zone boundaries
Settings:
Max Bars: Maximum K-lines to analyze (default: 4900)
Lookback Period: Period for finding local extremes (default: 5)
Min Gap Bars: Minimum bars between strokes (default: 4)
Customizable colors for strokes, zones, and extension lines
Aude - Minimal Session IndicatorMinimal Session Indicator
- The indicator allows users to highlight specific sessions (time range) on the chart.
- There are options to change the visual settings of the session box (BG color, Border color, Border style).
- Max 500 sessions drawn
VIX Overnight Unch or Up AlertThis indicator alerts when VIX opens the day unchanged or higher on the day. If in fact VIX opens up unchanged or higher, it will display near the first bar of the day, previous day's close time and level and the opening time and level. The close time is typically 16:15 New York Time and the opening time is 09:30 or the first print a few minutes later. I use TVC:VIX instead of CBOT because TVC for me is real time. I also use the 1 minute chart and the script is coded as 1 minute.
Goldbach Energy Curve⚡ Goldbach Energy Curve (G-Energy)
Precision phase-energy detection for professional traders
The Goldbach Energy Curve transforms raw market motion into a smooth, color-coded energy profile — revealing when price transitions between Accumulation, Manipulation, and Distribution states.
It blends advanced filtering with adaptive energy mapping to visualize market compression and expansion cycles in real time.
Use it to sense when momentum is building, fading, or rotating across phases — before structure or volume confirms the shift.
⚙️ How to Read the Energy Curve
Below 10 → Ultra-Low Energy Zone
Market in deep Accumulation — liquidity builds, volatility compresses, and smart money positions quietly.
10 – 33 → Rising Accumulation
Early signs of energy release; watch for breakout or expansion setups.
33 – 66 → Manipulation Phase
Transitional zone; expect false moves, liquidity grabs, and short-term volatility spikes.
Above 66 → Distribution Phase
Energy peaks — trend exhaustion, reversals, or large-scale profit-taking often emerge.
Align your directional bias with the market’s current energy state, from silent buildup to full distribution.
Features
Dynamic A / M / D phase tracking
Smooth histogram with adaptive curve overlay
Automatic background shading for instant context
Non-repainting and optimized for multi-timeframe analysis
Ideal for:
Institutional-style traders who value precision, clarity, and early insight into phase rotations.
