Precious Metals & GSR (Zeiierman)█ Overview
The Precious Metals & GSR (Zeiierman) is designed to provide traders and investors with a comprehensive view of the Gold-Silver Ratio (GSR) and other precious metal relationships. This tool helps evaluate the relative strength between different metals by analyzing their price ratios over historical periods, using quantile-based analysis and trend interpretation tables to highlight key insights.
The Gold-Silver Ratio (GSR) is a widely utilized metric in precious metals trading, representing the number of silver ounces required to purchase one ounce of gold. Historically, this ratio has fluctuated, providing traders with insights into the relative value of these two metals. By analyzing the GSR, traders can identify potential trading opportunities based on historical patterns and market dynamics.
By integrating customizable percentile bands, gradient coloring for performance visualization, and dynamic ratio analysis, this indicator assists in understanding how one metal is performing relative to another, making it useful for trend tracking, risk management, and portfolio allocation.
█ How It Works
The Precious Metals & GSR Indicator operates by fetching the latest prices of the selected precious metals in the user's chosen currency. It then calculates the ratio between two selected metals (Metal 1 and Metal 2) and analyzes this ratio over a specified period. By computing quantile bands and high/low bands, the indicator provides insights into the historical performance and current standing of the ratio.
⚪ Ratio Calculation
The core of this indicator is the metal ratio, calculated by dividing the price of Metal 1 by Metal 2.
A rising ratio means Metal 1 is outperforming Metal 2.
A falling ratio means Metal 2 is outperforming Metal 1.
The indicator automatically retrieves live market prices of Gold, Silver, Platinum, and Palladium to compute the ratio.
⚪ Quantile Ratio Bands
The indicator calculates the highest (max) and lowest (min) ratio levels over a user-defined period.
It also plots quantile bands at the 10th, 25th, 50th (median), 75th, and 90th percentiles, providing deeper statistical insights into how extreme or average the current ratio is.
The median (Q50) acts as a reference level, showing whether the ratio is above or below its historical midpoint.
⚪ Interpretation Table
The Ratio Interpretation Table provides a text-based summary of the ratio’s strength.
It detects whether Metal 1 is at a historical high, low, or within common ranges.
This helps traders and investors make informed decisions on whether the ratio is overextended, mean-reverting, or trending.
⚪ Precious Metals Table
Displays live market prices for Gold, Silver, Platinum, and Palladium.
Prices are shown in different units (oz, kg, grams, and troy ounces) based on user preferences.
A color-coded system highlights price changes, making it easier to track market movements.
⚪ Physical Holding Calculator
Users can enter their precious metal holdings to estimate their current value.
The system adjusts calculations based on weight, purity (24K, 22K, etc.), and unit of measurement.
The holding value is displayed in the selected currency (USD, EUR, GBP, etc.).
█ How to Use
⚪ Trend Identification
If the ratio is increasing, Metal 1 is gaining strength relative to Metal 2 → Possible Long Position on Metal 1 / Short on Metal 2
If the ratio is decreasing, Metal 2 is gaining strength relative to Metal 1 → Possible Short Position on Metal 1 / Long on Metal 2
⚪ Mean Reversion Strategy
When the ratio reaches the 90th percentile, Metal 1 is historically overextended (expensive) compared to Metal 2.
Traders may look to sell Metal 1 and buy Metal 2, expecting the ratio to decline back toward its historical average.
Example (Gold/Silver Ratio): If the GSR is above the 90th percentile, gold is very expensive relative to silver, suggesting a potential buying opportunity in silver and/or a selling opportunity in gold.
When the ratio reaches the 10th percentile, Metal 1 is historically undervalued (cheap) compared to Metal 2.
Traders may look to buy Metal 1 and sell Metal 2, expecting the ratio to rise back toward its historical average.
Example (Gold/Silver Ratio): If the GSR is below the 10th percentile, gold is very cheap relative to silver, suggesting a potential buying opportunity in gold and/or a selling opportunity in silver.
⚪ Common Strategy Based on GSR Insights
A common approach involves monitoring the ratio for extreme values based on historical data. When the ratio reaches historically high levels, it suggests that gold is expensive relative to silver, potentially indicating a buying opportunity for silver and/or a selling opportunity for gold. Conversely, when the ratio is at historically low levels, silver is expensive relative to gold, suggesting a potential buying opportunity for gold and/or selling opportunity for silver. This mean-reversion strategy relies on the tendency of the GSR to return to its historical average over time.
⚪ Hedging & Portfolio Diversification
If Gold is strongly outperforming Silver, investors may shift allocations to balance risk.
If Silver is rapidly gaining on Gold, it may indicate increased industrial demand or speculative interest.
⚪ Inflation & Economic Cycles
A rising Gold-Silver ratio often correlates with economic downturns and increased risk aversion.
A falling Gold-Silver ratio may signal stronger economic growth and higher inflation expectations.
█ Settings
Precious Metals Table
Select which metals to display (Gold, Silver, Platinum, Palladium)
Choose measurement units (oz, kg, grams, troy ounces)
Ratio Analysis
Select Metal 1 & Metal 2 for ratio calculation
Set historical length for quantile calculations
Interpretation Table
Enable automated insights based on ratio levels
Physical Holdings Calculator
Enter metal weight, purity, and unit
Select calculation currency
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Indicators and strategies
[COG] StochRSI Ultimate Pro+ StochRSI Ultimate Pro+ 🚀
🎯 A powerful combination of StochRSI, dynamic confluence meter, and ghost projection technology for enhanced trading precision.
Key Features:
📊 Advanced StochRSI Implementation
• Custom Stochastic RSI calculation with multiple smoothing options
• Configurable periods for RSI and Stochastic calculations
• Support for multiple moving average types (SMA, EMA, SMMA, LWMA)
🎯 Smart Entry System
• Dynamic entry signals based on StochRSI crossovers
• 5 EMA High/Low filter for trade confirmation
• Visual arrows and backgrounds for clear signal identification
• Customizable signal placement and visualization
🌊 Confluence Meter Technology
• Advanced Money Flow Index (MFI) integration with dynamic normalization
• Adaptive tracking system for both bullish and bearish momentum
• Five-level strength measurement (20, 35, 50, 65, 80)
• Real-time visual meter with gradient coloring
• Historical strength comparison
• Hyperwave calculations for trend strength
• Perfect for trend confirmation and reversal detection
👻 Ghost Projection System
• Advanced momentum-based future price projection
• Visual crossing predictions
• Dotted projection lines with customizable appearance
• Early warning system for potential reversals
🎨 Visual Enhancements
• Gradient-based coloring system
• Dynamic background colors for signal strength
• Customizable color schemes for all elements
• Professional-grade visualization
⚡ Premium Features
• Regular and hidden divergence detection
• Multi-timeframe compatibility
• Comprehensive alert system
• Advanced filtering mechanisms
🛠️ Technical Details:
• Custom RSI calculation with period: 13
• Stochastic implementation with period: 8
• Signal smoothing using custom MA types
• Dynamic confluence calculation using MFI
• Ghost projection using momentum algorithms
• 5 EMA High/Low implementation for trade filtering
⚙️ Fully Customizable Parameters:
• RSI and Stochastic periods
• MA types and lengths
• Signal visualization
• Color schemes
• Alert conditions
• Ghost projection settings
• Confluence meter sensitivity
📈 Perfect For:
• Day Trading
• Swing Trading
• Position Trading
• Scalping
• All timeframes
🎓 Based on advanced technical analysis principles including:
• Stochastic RSI
• Moving Average Convergence
• Market Flow Analysis
• Momentum Projection
• Divergence Theory
💡 Pro Tips:
• Use the confluence meter for trade confirmation
• Watch for ghost projection crossovers
• Combine with EMA filter for higher probability trades
• Pay attention to divergence signals
• Use multiple timeframe analysis for better results
Bitcoin Logarithmic Regression Channel1. Introduction
Bitcoin’s price had historically exhibited exponential growth, meaning its growth rate increased over time rather than remaining constant. To analyze this behavior, I employed a logarithmic scale. The logarithmic transformation converted the exponential growth pattern into a linear relationship, which was easier to analyze using linear regression techniques.
2. What Is a Logarithmic Function?
A logarithmic function (in this case, using base 10) transforms a number x into log10(x). For example, log10(100) = 2 because 10^2 = 100. This transformation compresses data that spans several orders of magnitude into a smaller, more manageable scale. In my analysis, the logarithmic transformation was applied to both the time variable (expressed as “weekly bar numbers”) and the price. This approach converted an exponential relationship into a linear one.
3. Selection of Key Coordinates
Key turning points in Bitcoin’s historical price were selected, representing the cycle peaks and bottoms. Since TradingView charts begin on 2009 10 05, I converted these dates into “weekly bar numbers. The chosen coordinates were as follows:
- Cycle Peaks (Highs):
(2011-06 06-$32) -> (80, $32)
(2013-11-25, $1240) -> (208, $1240)
(2017-12-11, $19804) -> (451, $19804)
(2021-11-08, $68997) -> (623, $68997)
- Cycle Bottoms (Lows):
(2011-11-21, $2) -> (102, $2)
(2015-08-17, $162) -> (298, $162)
(2018-12-10, $3124) -> (471, $3124)
(2022-11-21, $15473) -> (677, $15473)
These points were chosen because they marked significant turning points in Bitcoin’s price cycles.
4. Conversion to Linear Form
The values then were converted to their linear form by applying the base 10 logarithm. This transformation allowed the function to be expressed in a linear state as:
y = a * x + b
where:
- x is the logarithm of the weekly bar number, and
- y is the logarithm of the price.
This step was essential for enabling linear regression on these values. After applying the base 10 logarithm, the coordinates became:
- Cycle Peaks (Highs):
(1.903, 1.505)
(2.318, 3.093)
(2.654, 4.296)
(2.795, 4.839)
- Cycle Bottoms (Lows):
(2.009, 0.301)
(2.474, 2.210)
(2.673, 3.494)
(2.830, 4.190)
5. Linear Regression
A linear regression was then performed on these log transformed points separately for the highs and lows. The best fit lines obtained were:
- Cycle Peaks (Highs):
y = 3.711 * x – 5.541
In exponential form, this translates to:
Price = 10^(3.711 * log(x)-5.541)
- Cycle Bottoms (Lows):
y = 4.782 * x – 9.385
In exponential form, this translates to:
Price = 10^(4.782 * log(x)-9.385)
6. Visualization through Log Channel with Offsets
To provide additional context and to visually assess potential overextensions or undervaluations relative to the long term trend, channels were drawn around the regression lines by applying a percentage offset. For example, with a 20% offset:
- Upper Channel:
Upper=Regression Value * (1 + 0.2)
- Lower Channel:
Lower=Regression Value * (1 - 0.2)
These channels help illustrate how far the current price deviates from the trend line and can signal potential reversal points if the price moves significantly outside these boundaries.
7. Meaning and Application of the Model
This model was designed to analyze Bitcoin’s long term trend by:
• Assessing Market Conditions:By comparing the current Bitcoin price to the regression channels, one can gauge whether Bitcoin is trading above (potentially overextended) or below (potentially undervalued) its long term trend.
• Forecasting Reversal Points: Significant deviations from the channel boundaries may indicate that a price correction or reversal is imminent.
• Supporting Investment Decisions: The regression function, together with its channels, provides a quantitative framework for evaluating the current market state and estimating future price targets, helping to guide strategic entry or exit decisions.
Based on the derived model and current market conditions, today's analysis indicates that Bitcoin's support levels lie approximately between $24,000 and $36,000, while its resistance levels are in the range of about $134,000 to $202,000.
8. Summary
This model came together by pinpointing key turning points in Bitcoin’s price history and converting the dates into weekly bar numbers. I then applied a base 10 logarithm to both the time and price data, which transformed Bitcoin’s exponential growth into a straight-line relationship. Using linear regression on these log transformed values, I derived trend equations for the peaks and bottoms, and added channels with a set offset to highlight areas of potential support and resistance. Overall, this approach offers a clear, data-driven way to gauge Bitcoin’s long-term trend and anticipate potential market turning points.
1. 서론
비트코인은 창시 이후 상상할 수 없을 정도의 상승세를 보여주었으며, 그 폭발적인 성장률은 시간이 흐를수록 걷잡을 수 없이 가속화되었습니다. 이러한 현상은 단순한 우연이 아니라, 전 세계 투자자들과 주요 기관들의 열렬한 관심을 이끌어내며 비트코인이 주요 자산으로 자리잡게 된 배경이 되었습니다. 저는 최근에 이 비범한 상승세의 이면을 보다 깊이 이해하고자 로그 기반으로 간단한 비트코인 추세 채널링 모델을 만들어봤습니다.
2. 로그함수란?
로그함수는 어떤 숫자를, 특정 밑을 기준으로 그 크기를 지수 형태로 표현해 주는 함수입니다. 예를 들어, 100이라는 숫자는 10의 몇 제곱인지 나타내면 10^2 = 100이므로, log(100)는 2가 됩니다. 즉, 로그함수는 아주 크거나 작은 값을 다루기 쉽게 숫자 범위를 압축해 주는 역할을 합니다. 제 분석에서는 ‘주간 바 번호’라는 시간 변수와 가격 데이터에 모두 로그 변환을 적용하여, 본래 기하급수적으로 증가하는 데이터를 선형 관계로 바꿔서 보다 쉽게 이해하고 분석할 수 있도록 하였습니다. 참고로 본 분석에서는 로그 10진법을 사용하였습니다.
3. 주요 고점/저점 선택
역대 비트코인의 가격 사이클에서 중요한 변곡점들을 고점 저점 각각 4개씩 도출했습니다. 트레이딩뷰의 BTCUSD:INDEX 차트는 2009년 10월 05일부터 시작되므로, 각 날짜가 차트 상에서 몇 번째 봉에 해당하는지를 계산하였습니다. 좌표는 다음과 같습니다:
사이클 상단 (고점):
(2011-06 06-$32) -> (80, $32)
(2013-11-25, $1240) -> (208, $1240)
(2017-12-11, $19804) -> (451, $19804)
(2021-11-08, $68997) -> (623, $68997)
사이클 하단 (저점):
(2011-11-21, $2) -> (102, $2)
(2015-08-17, $162) -> (298, $162)
(2018-12-10, $3124) -> (471, $3124)
(2022-11-21, $15473) -> (677, $15473)
해당 변곡점들은 차트 분석 좀 하시는 분들은 아시겟지만, 역대 비트코인 가격 사이클에서 가장 중요한 고점과 저점들입니다.
4. 데이터 변환
이후 선택된 값들에 10진 로그를 적용하여 기하급수적으로 증가하는 데이터를 선형 관계로 전환하였습니다. 자, 우리 어렸을 때 수학시간에 다 배운 1차 방정식인데, 기억하시죠? 다음과 같이 선형적 함수로 표현될 수 있습니다:
y = a * x + b
- x: 날짜(몇 번째 주봉인지)
- y: 비트코인 로그 값
로그를 적용한 결과, 좌표는 다음과 같이 바뀌었습니다. 이제 선형 회귀 분석이 가능한 데이터 포맷이 되었네요.
사이클 상단 (고점):
(1.903, 1.505)
(2.318, 3.093)
(2.654, 4.296)
(2.795, 4.839)
사이클 하단 (저점):
(2.009, 0.301)
(2.474, 2.210)
(2.673, 3.494)
(2.830, 4.190)
5. 선형 회귀 분석
고점과 저점 데이터를 로그 스케일로 변환한 후 각각 선형 회귀 분석을 수행하여 최적화된 추세선을 도출해봤습니다. 그 결과, 아래와 같은 방정식이 나왔네요:
사이클 상단 (고점):
y = 3.711 * x – 5.541
지수 함수로 변환하면:
가격 = 10^(3.711 * log(x)-5.541)
사이클 하단 (저점):
y = 4.782 * x – 9.385
지수 함수로 변환하면:
가격 = 10^(4.782 * log(x)-9.385)
6. 로그 채널에 편차 적용
하나의 회귀선으로 모든 변곡점을 정확히 포착하는 것은 어렵기 때문에, 육안으로 확인했을 때 주요 고점과 저점들이 어느 정도 포함될 수 있도록 적절한 범위를 설정하였습니다. 이를 위해 회귀선 위아래로 일정 비율의 편차(오프셋)을 적용하여 채널을 형성하였습니다. 예를 들어, 20%의 오프셋을 적용하면 다음과 같이 계산됩니다:
사이클 상단 = 회귀 값 * (1 + 0.2)
사이클 하단 = 회귀 값 * (1 - 0.2)
이 채널을 활용하면 비트코인의 가격이 장기 추세 대비 어느 정도 위치해 있는지 한눈에 파악할 수 있습니다. 만약 가격이 채널을 크게 벗어난다면, 시장이 과열되었거나 반대로 저평가되었을 가능성이 높다고 해석할 수 있습니다.
7. 해당 모델의 시사점
- 시장 상황 평가: 현재 비트코인 가격이 본 채널과 비교했을 때 과열(고평가) 상태인지, 혹은 침체(저평가) 상태인지 어느정도 큰 그림에서 가늠해볼 수 있습니다.
- 변곡점 예측: 가격이 채널의 상단이나 하단에 도달할 경우, 일정 수준의 조정이나 방향 전환이 나타날 가능성이 높습니다.
현재 시장 상황과 모델이 도출한 결과를 바탕으로 보면, 장기적으로 비트코인의 주요 지지 구간은 약 $24,000 ~ $36,000, 저항 구간은 $134,000 ~ $202,000 수준으로 나타납니다.
8. 결론
이번 회귀 모델을 구축하면서, 비트코인의 가격 움직임이 단순한 우연이 아니라 일정한 패턴을 따르고 있음을 다시 한번 확인할 수 있었습니다. 단순히 과거 데이터를 대입해 본 것이지만, 로그 스케일과 선형 회귀를 활용하니 꽤 직관적인 추세선이 도출되었고, 이를 통해 장기적인 흐름에서 가격이 어디쯤 위치해 있는지를 객관적으로 볼 수 있었습니다.
물론, 이 채널이 절대적인 예측 도구는 아닙니다. 시장은 항상 변수가 많고, 예상치 못한 이벤트가 터질 수도 있습니다. 하지만 적어도 큰 그림에서 시장이 과열되었는지, 혹은 저평가된 구간에 들어섰는지를 판단하는 데는 유용한 프레임워크가 될 수 있다고 생각합니다.
선형 차트로 보면, 시간이 갈수록 채널이 시사하는 지지/저항 구간의 범위가 넓어집니다. 따라서 미래로 갈수록 예측이 더욱 어려워지는 것이 이 시장의 본질일지도 모릅니다. 결국, 시장이 어느 방향으로든 극단적인 움직임을 보일 가능성은 점점 커지며, 이런 불확실성을 감안한 대응 전략이 더욱 중요하고 생가합니다.
KEMAD | QuantumResearchQuantumResearch KEMAD Indicator
The QuantumResearch KEMAD Indicator is a sophisticated trend-following and volatility-based tool designed for traders who demand precision in detecting market trends and price reversals. By leveraging advanced techniques implemented in PineScript, this indicator integrates a Kalman filter, an Exponential Moving Average (EMA), and dynamic ATR-based deviation bands to produce clear, actionable trading signals.
1. Overview
The KEMAD Indicator aims to:
Reduce Market Noise: Employ a Kalman filter to smooth price data.
Identify Trends: Use an EMA of the filtered price to define the prevailing market direction.
Set Dynamic Thresholds: Adjust breakout levels with ATR-based deviation bands.
Generate Signals: Provide clear long and short trading signals along with intuitive visual cues.
2. How It Works
A. Kalman Filter Smoothing
Purpose: The Kalman filter refines the selected price source (e.g., close price) by reducing short-term fluctuations, thus offering a clearer view of the underlying price movement.
Customization: Users can adjust key parameters such as:
Process Noise: Controls the filter’s sensitivity to recent changes.
Measurement Noise: Determines how responsive the filter is to incoming price data.
Filter Order: Sets the number of data points considered in the smoothing process.
B. EMA-Based Trend Detection
Primary Trend EMA: A 25-period EMA is applied to the Kalman-filtered price, serving as the core trend indicator.
Signal Mechanism:
Long Signal: Triggered when the price exceeds the EMA plus an ATR-based upper deviation.
Short Signal: Triggered when the price falls below the EMA minus an ATR-based lower deviation.
C. ATR Deviation Bands
ATR Utilization: The Average True Range (ATR) is computed (default length of 21) to assess market volatility.
Dynamic Thresholds:
Upper Deviation: Calculated by adding 1.5× ATR to the EMA (for long signals).
Lower Deviation: Calculated by subtracting 1.1× ATR from the EMA (for short signals).
These bands adapt to current volatility, ensuring that signal thresholds are both dynamic and market-sensitive.
3. Visual Representation
The indicator’s design emphasizes clarity and ease of use:
Color-Coded Bar Signals:
Green Bars: Indicate bullish conditions when a long signal is active.
Red Bars: Indicate bearish conditions when a short signal is active.
Trend Confirmation Line: A 54-period EMA is plotted to further validate trend direction. Its color dynamically changes to reflect the active trend.
Background Fill: The space between a calculated price midpoint (typically the average of high and low) and the EMA is filled, visually emphasizing the prevailing market trend.
4. Customization & Parameters
The KEMAD Indicator is highly configurable, allowing traders to tailor the tool to their specific trading strategies and market conditions:
ATR Settings:
ATR Length: Default is 21; adjusts sensitivity to market volatility.
EMA Settings:
Trend EMA Length: Default is 25; smooths price action for trend detection.
Confirmation EMA Length: Default is 54; aids in confirming the trend.
Kalman Filter Parameters:
Process Noise: Default is 0.01.
Measurement Noise: Default is 3.0.
Filter Order: Default is 5.
Deviation Multipliers:
Long Signal Multiplier: Default is 1.5× ATR.
Short Signal Multiplier: Default is 1.1× ATR.
Appearance: Eight customizable color themes are available to suit individual visual preferences.
5. Trading Applications
The versatility of the KEMAD Indicator makes it suitable for various trading strategies:
Trend Following: It helps identify and ride sustained bullish or bearish trends by filtering out market noise.
Breakout Trading: Detects when prices move beyond the ATR-based deviation bands, signaling potential breakout opportunities.
Reversal Detection: Alerts traders to potential trend reversals when price crosses the dynamically smoothed EMA.
Risk Management: Offers clearly defined entry and exit points, based on volatility-adjusted thresholds, enhancing trade precision and risk control.
6. Final Thoughts
The QuantumResearch KEMAD Indicator represents a unique blend of advanced filtering (via the Kalman filter), robust trend analysis (using EMAs), and dynamic volatility assessment (through ATR deviation bands).
Its PineScript implementation allows for a high degree of customization, making it an invaluable tool for traders looking to reduce noise, accurately detect trends, and manage risk effectively.
Whether used for trend following, breakout strategies, or reversal detection, the KEMAD Indicator is designed to adapt to varying market conditions and trading styles.
Important Disclaimer: Past data does not predict future behavior. This indicator is provided for informational purposes only; no indicator or strategy can guarantee future results. Always perform thorough analysis and use proper risk management before trading.
indicatorindicator for every average and resistance.The good indicators guide
This PDF discusses how indicators can be used to understand, improve, and monitor systems
Indicators of inputs, activities, outputs, outcomes and impacts in
This PDF discusses how indicators can be used to measure achievement, performance, and more
An IntroductIon to IndIcAtors
This PDF discusses how indicators can be used to compare data over time and across different areas
Outputs, outcomes and indicators
This PDF discusses how indicators can be used to determine if an outcome has occurred and by how much
Indicators Definition
This PDF discusses how indicators can be used to formulate plans for overall objectives, project purposes, and results
Annex A: Examples of impacts and indicators
This PDF discusses how indicators can be used to measure impacts on commerce, the economy, and more
Market Structure Break with Volume (Optimized)Market Structure Break with Volume (Optimized)
🔹 A powerful breakout and retest detection tool with volume confirmation!
📌 Overview
This Market Structure Breakout Indicator is designed to detect bullish and bearish breakouts based on market structure while incorporating volume confirmation. It also identifies retests and fake breakouts, helping traders avoid false signals and improve entry timing.
This tool is ideal for traders who rely on structure-based trading strategies, as it highlights key areas where price movements are likely to accelerate or reverse.
📊 Key Features
✅ Market Structure Breakout Detection
Identifies when price breaks above a key high (bullish breakout) or drops below a key low (bearish breakout).
Uses higher timeframe market structure levels for better accuracy.
✅ Volume-Confirmed Breakouts
Avoids false breakouts by requiring high volume confirmation before labeling a breakout.
✅ Retest Detection
If price returns to the breakout zone but closes outside, it is marked as a "Retest."
Helps confirm whether the breakout level is acting as new support or resistance.
✅ Fake Breakout Detection
If price breaks out but immediately reverses, it is marked as a "Fake Breakout."
This protects traders from entering trap moves set by market makers.
✅ Smart Box Drawing
Automatically draws breakout boxes at detected breakout levels.
Updates dynamically while keeping the chart clean and easy to read.
✅ Custom Alerts for Key Events
Get notified instantly when a breakout, retest, or fake breakout occurs.
Alerts are available for:
Bullish & Bearish Breakouts
Retests (price revisiting the breakout area but closing outside)
Fake Breakouts (price breaking out but failing to hold the level)
🔍 How It Works
1️⃣ Detects Breakouts
Analyzes higher timeframe price structure to find significant highs/lows.
Confirms breakouts only if the price closes beyond these levels with strong volume.
2️⃣ Identifies Retests
If price returns to the breakout zone but fails to close inside, it marks it as a "Retest."
This is useful for traders who enter on pullbacks rather than initial breakouts.
3️⃣ Spots Fake Breakouts
If price breaks out but immediately reverses, it marks it as a "Fake Breakout."
Prevents false signals that could lead to stop-outs.
4️⃣ Draws Visual Boxes for Easy Reference
Breakout areas are highlighted with automatic boxes, making them easy to track on the chart.
5️⃣ Alerts for Key Events
Alerts notify traders when:
A retest is happening 🔄
A fake breakout is detected ⚠
⚙ Customizable Inputs
🎯 Timeframe Selection – Choose the higher timeframe structure for breakout detection.
🎯 Lookback Period – Set how many past bars to analyze for highs and lows.
🎯 Volume Multiplier – Adjust the volume threshold for breakout confirmation.
🎯 Box & Label Colors – Personalize bullish and bearish breakout boxes.
🎯 Alert Frequency – Get real-time notifications without excessive alerts.
📈 Who Should Use This Indicator?
✅ Breakout Traders – Confirm valid breakouts & avoid false signals.
✅ Retest Traders – Identify pullbacks to enter on safer retracements.
✅ Trend Traders – Spot new trend formations with volume-based breakouts.
✅ Scalpers & Swing Traders – Works on all timeframes (from 1-minute to daily charts).
✅ Smart Money Concept Traders – Detects liquidity grabs and fake moves.
⚡ How to Use It Effectively
🔹 Bullish Breakout: Look for confirmation & enter on a pullback or retest.
🔹 Bearish Breakout: Wait for price to confirm below the level before entering.
🔹 Retest Areas: Can be used as support/resistance for secondary entries.
🔹 Fake Breakouts: Avoid entries when these appear—market makers might be trapping traders!
📢 Final Notes
🚀 This indicator combines market structure, volume analysis, and breakout validation to provide clear and actionable trade signals.
💡 Works across Forex, Stocks, Crypto, and Indices.
🔔 Turn on alerts to never miss a breakout, retest, or fakeout!
Pipstocrat Technical Patterns: EngVol, FVG & OBKey Features:
Fair Value Gaps (FVG): Highlights price imbalances where liquidity is likely to be filled.
Order Blocks (OB): Identifies key institutional buying and selling zones for potential reversals.
Wick-Based Supply & Demand (WSD): Detects areas of strong rejection for precise entry signals.
Engulfing Candle with Volume Confirmation: Marks strong reversals when supported by volume.
How to Use:
Look for rejection at OB, FVG, or WSD zones before entering a trade.
Confirm entry signals with engulfing candles backed by volume to reduce false breakouts.
Manage risk using a Risk-Reward Ratio (1:3 to 1:9) for optimal trade execution.
This indicator is ideal for traders who follow smart money concepts and want to align with institutional liquidity movements. It provides real-time visual cues for entry and exit, helping traders refine their strategy and increase their edge in the market.
Market Structure HH, HL, LH and LLMarket Structure Indicator (HH, HL, LH, LL) – Explanation and Usage
Overview:
This indicator is designed to detect and visualize market structure shifts by identifying Higher Highs (HH), Higher Lows (HL), Lower Highs (LH), and Lower Lows (LL). It plots a ZigZag structure to mark trend changes, helping traders analyze price swings and market direction.
Indicator Logic:
The indicator operates based on ZigZag swing points to define trend shifts and structure changes.
Identifying Market Swings:
It finds local highs and lows using the ZigZag Length (zigzag_len), which defines how many bars back to check for a new swing high/low.
If the current high is the highest over zigzag_len periods, it marks it as a swing high.
If the current low is the lowest over zigzag_len periods, it marks it as a swing low.
Determining Market Structure:
Uptrend: Higher Highs (HH) & Higher Lows (HL)
Downtrend: Lower Lows (LL) & Lower Highs (LH)
The script continuously tracks the last two highs (h0, h1) and last two lows (l0, l1) to classify the current market structure.
Visual Elements:
ZigZag Line (Optional): Connects major swing highs and lows for trend visualization.
Labels (HH, HL, LH, LL):
HH (Higher High) – Price is making new highs → Uptrend Continuation.
HL (Higher Low) – Price forms a higher bottom → Uptrend Confirmation.
LL (Lower Low) – Price is making new lows → Downtrend Continuation.
LH (Lower High) – Price forms a lower top → Downtrend Confirmation.
Breakout Confirmation with Fibonacci Factor (Optional)
The indicator includes an option to confirm breakouts using the fib_factor, which ensures price moves beyond a certain retracement level.
How to Use This Indicator in Trading:
1. Identifying Trends & Trend Reversals
Uptrend: Look for a sequence of HH and HL.
Downtrend: Look for a sequence of LL and LH.
Trend Reversal: If price transitions from HH-HL to LH-LL, it signals a shift from an uptrend to a downtrend (and vice versa).
2. Confirming Entry & Exit Points
Buy Entry (Long Position)
Enter after a Higher Low (HL) is confirmed in an uptrend.
Combine with support zones or moving averages for confirmation.
Sell Entry (Short Position)
Enter after a Lower High (LH) is confirmed in a downtrend.
Combine with resistance zones or moving averages for confirmation.
Exit Strategy
Exit long trades when price fails to make a HH and forms an LH instead.
Exit short trades when price fails to make a LL and forms an HL instead.
3. Spotting Breakouts & Order Blocks
The Fib Factor setting allows traders to filter false breakouts by confirming price movement beyond a retracement threshold.
Potential Order Blocks can be identified by looking at the last major swing point before a breakout.
Benefits of This Indicator for Traders
✅ Trend Identification: Helps traders quickly determine if the market is in an uptrend or downtrend.
✅ Clear Market Structure Labels: Easily visualizes Higher Highs, Higher Lows, Lower Highs, and Lower Lows.
✅ Avoids Noise: The ZigZag algorithm removes small fluctuations and focuses on significant market movements.
✅ Assists with Entry & Exit Decisions: Provides objective signals for trend continuation or reversals.
✅ Works in All Markets: Useful for stocks, forex, crypto, and futures trading.
Would you like me to add additional features like Order Blocks, Breakout Confirmation, or Alerts to improve this indicator? 🚀
Gong's_indicator📌 Gong’s Indicator – Advanced Trading Strategy
🔗 Why This Script? (Justification for Combining Indicators)
This script is not just a simple RSI or Donchian Channel indicator. It is a comprehensive trading strategy that intelligently combines RSI signals, Donchian Channel breakouts, and volatility-based entry/exit points to generate high-probability trade setups.
Rather than simply identifying overbought/oversold conditions, this script:
✔ Filters RSI signals using the past 30 candles to confirm a true reversal point.
✔ Dynamically adjusts Donchian Channel gaps based on recent price volatility.
✔ Generates trade signals only when key conditions align, reducing false signals.
✔ Automates stop-loss and target price calculations for optimized risk management.
The combination of these elements creates a powerful system that adapts to both range-bound and trending markets, offering traders a structured approach to identifying high-quality trade opportunities.
💰 Why Is This Script Worth Paying For?
This is not just a typical indicator—it is an advanced trading tool that enhances decision-making, automates trade management, and increases profitability potential.
🚀 Key Premium Features
✅ Smart Entry & Exit Strategy
✔ Uses RSI-based signal filtering to avoid weak reversal points.
✔ Dynamically adjusts Donchian Channel breakouts based on recent volatility.
✔ Automatically calculates & displays stop-loss and target levels for every signal.
✅ Volatility-Based Reversal Detection (Diamond Markers)
✔ Identifies short-term rapid price movements and marks them with diamonds.
✔ Highlights potential trend reversal points, giving traders an edge in volatile markets.
✅ Optimized for Hedge Mode Trading
✔ Supports multiple entries in the same direction, making it ideal for hedge mode.
✔ Works in both trend-following and counter-trend strategies, allowing flexible execution.
✅ Adaptive Risk Management
✔ Automatically calculates stop-loss and take-profit targets, ensuring an optimal risk-reward ratio.
✔ Traders no longer need to manually define their stop/target—the script does it for them!
✅ Works in Both Ranging & Trending Markets
✔ Unlike basic RSI or Donchian strategies that work only in sideways markets, this script adjusts its trading range dynamically, making it effective in trending conditions as well.
✔ Prevents continuous losses during strong trends by adapting stop-loss and re-entry logic.
📌 Conclusion: This script is not just a combination of indicators—it is a fully optimized trading system that helps traders identify, enter, and manage trades more effectively. By reducing false signals, automating trade management, and adapting to market conditions, it offers a significant edge over standard free indicators. 🚀💎
📖 How to Use It?
🔹 Open positions in the green/red zones and set the purple line as the stop-loss.
🔹 The script provides pre-calculated stop-loss and target prices, making trade management easier.
🔹 When a stop occurs, the script detects potential reversals and provides re-entry signals.
🔹 Works best on timeframes under 15 minutes and is optimized for hedge mode trading.
⚠ Precautions
🔸 This script works best in range-bound markets. In strong trends, additional risk management is required.
🔸 While built-in target/stop levels are provided, traders should adjust them based on their own strategies and risk tolerance.
Now, this description meets both TradingView’s requirements:
✅ It justifies why different indicators are combined and how they work together.
✅ It explains why this script is valuable enough to be a premium tool.
This should significantly improve your chances of approval! 🚀
MediMoving Average with Customized Deviation by MarcosJuniorAn indicator that uses two adjustable arithmetic moving averages, as needed, where the averages are from the same periods, one average being standard and the other average using a calculation base for standard deviation based on the volatility of the moment.
Trading BogoveCombined Chandelier and ZLSMA + adjusted buy and sell to be showed only if they are above or below ZLSMA
WORKING RANGING FILTER! after years of searching for an indicator i finally managed to create this chatgpt and some other indicator i used as baseline. unfortunately i cant even remember who made original.
it has been reworked so many times.
anyway you can draw trend lines on oscilaltor to see when it breaks and those are big moves.
the oscillator paints background purple when market is moving and color nothing when its ranging. only trend trade when its purple and only range trade when its not.
also seems to be showing divergences which was not my intention but its an all around swiss army knife.
i would pair it with an indicator that tells you overall market direction. like moving averagers, supertrend or similar and only open trades into trend direction when its purple. buy pullbacks.
treshold increase will give less signals.
i added a moving average to oscillator(because it was very spikey) so treshold level interract
with the moving average to give better results.
let me know what you think
SMA + RSI + ADX + ATR StrategyСильно не ругайте это первая моя стратегия, она простая но со вкусом как говорят, пробуйте вносите изменения.
Помощь в допиливании стратегии приветсвуется!
✅ Используются индикаторы:
SMA 10 и SMA 200 – для входа по пересечению
RSI – для подтверждения тренда
ADX – для определения силы тренда
ATR – для расчёта волатильности
✅ Работает на таймфреймах:
M5, H3, H4, D1, MN
✅ Открывает сделки:
BUY – когда SMA10 пересекает SMA200 вверх, и RSI + ADX подтверждают тренд
SELL – когда SMA10 пересекает SMA200 вниз, и RSI + ADX подтверждают тренд
✅ Управляет риском:
Использует не более 2% от депозита на одну сделку
✅ Поддерживает хеджирование
Price Level Multi Timeframe [Snowdex]Price Level Multi-Timeframe Indicator
This indicator visualizes important price levels from multiple timeframes (e.g., daily, weekly, monthly) directly on the chart. It helps traders identify significant support and resistance levels for better decision-making.
Features:
Displays price levels for multiple timeframes: daily (1D), weekly (1W), monthly (1M), quarterly (3M), semi-annual (6M), and yearly (12M).
Customizable options to show or hide levels and adjust their colors.
Highlights high, low, and close levels of each timeframe with labels and dotted lines.
Includes options to extend levels visually for better clarity.
Benefits:
Easily compare price levels across timeframes.
Enhance technical analysis with multi-timeframe insights.
Identify key areas of support and resistance dynamically.
Schwarzman Custom ORB with Box DisplayIndicator Overview
The Schwarzman Custom ORB (Opening Range Breakout) Indicator is a fully self-developed script designed for traders who utilize opening range breakout strategies. This indicator allows users to customize their ORB settings, apply them to historical price data, and visually connect multiple ORBs to analyze past performance. The goal is to provide traders with a tool to backtest and refine their breakout strategies based on historical ORB data.
How the Indicator Works
1️⃣ User-Defined ORB Settings
• The user selects a custom start time (hour and minute) for the ORB.
• The user defines a duration (e.g., 15 minutes, 30 minutes, etc.) for the ORB period.
• A timezone offset is included to adjust for different market sessions.
2️⃣ ORB High and Low Calculation
• The script records the highest and lowest prices within the selected ORB time window.
• The recorded values remain static after the ORB period ends, ensuring accurate range plotting.
3️⃣ Historical ORB Visualization
• Instead of only showing a single ORB for the current session, this indicator connects multiple ORBs across past data.
• This allows traders to visually analyze previous breakout performance.
• The plotted ORBs remain fixed and do not repaint, ensuring an accurate backtesting experience.
4️⃣ Stepline Visualization & Range Filling
• The high and low ORB levels are displayed using stepline plots to maintain clear horizontal levels.
• A shaded box is applied between the ORB high and low for better visualization.
Use Cases & Strategy Application
📌 Backtesting Historical ORBs – See how past ORBs performed under different market conditions.
📌 Custom ORB Settings – Adjust the start time and duration for different trading sessions.
📌 Multi-ORB Analysis – Connect ORBs over multiple trading days to study trends and breakouts.
📌 Breakout Strategy Optimization – Use the historical ORB connections to refine entry and exit points.
This indicator is particularly useful for day traders, scalpers, and breakout traders looking for a data-driven approach to trading.
Indicator Development & Transparency Statement
As a trader, I have tested various ORB (Opening Range Breakout) indicators available in the TradingView community. Through these experiences, I aimed to develop a version that best fits my own trading needs and strategy.
This script is a self-developed ORB tool, created from scratch while drawing inspiration from the concept of opening range breakouts, which is widely used in trading. Since I initially coded in Pine Script v4, I used ChatGPT to help refine and migrate the script to Pine Script v6 to ensure compatibility with the latest TradingView features. However, the core logic, structure, and customization were entirely designed and implemented based on my own approach.
I am making this indicator public not to violate any TradingView guidelines but to share my work with the trading community and provide a tool that can help others analyze ORB-based strategies. If there are any compliance concerns, I am open to adjusting the script accordingly, but I want to clarify that this is not a copy of any existing ORB script—it is a custom-built indicator tailored to my own trading preferences.
I appreciate the opportunity to contribute to the community and would welcome any specific feedback from TradingView regarding rule compliance.
Best regards,
Janko S. (Schwarzman)
Appeal to TradingView
Dear TradingView Team,
This script is 100% self-developed and does not copy or replicate any third-party code. It is a customized ORB tool designed for traders who wish to backtest and analyze opening range breakout strategies over multiple sessions. We kindly request specific clarification regarding which exact line(s) of code violate TradingView’s guidelines. If there are any compliance concerns, we are happy to adjust the script accordingly.
Please let us know the precise rules or community guidelines that were violated so we can make the necessary modifications.
🚀 Summary
✔ Fully Custom & Self-Developed – No copied or third-party code.
✔ Innovative Feature – Connects past ORBs for strategy backtesting.
✔ Transparent & Compliant – Requesting exact details on any potential rule violations.
Old Liquidations ScriptThis is an old version of another liquidations script I published. The difference is this script has old liquidation lines. Please see my other script here for a full explanation of the code:
Opening Score with DivergenceOverview
The Opening Score Indicator is a versatile tool designed to help traders assess market sentiment, trend direction, and potential reversals. By combining Opening Range Breakout (ORB), VWAP, Trend, Volatility, and Divergence Detection, this indicator provides a composite score that adapts to different market conditions.
This version includes divergence detection between the Opening Score and price, which highlights potential trend reversals or continuations before they happen. When a regular divergence occurs, the histogram bar turns orange, signaling an increased probability of a trend change.
Best for Both Intraday & Longer-Term Charts
📊 Optimized for intraday trading → Works well on 1m to 30m timeframes for short-term strategies.
📈 Also effective on longer-term charts → Can be used on 1-hour, 4-hour, daily, or weekly charts to identify macro trends and momentum shifts.
🕰️ Adapts to different market conditions → Whether you’re a day trader, swing trader, or position trader, the Opening Score helps you track trend health and reversals.
How It Works
📊 Composite Opening Score Calculation
• ORB Signal → Detects bullish/bearish breakouts based on the opening range.
• VWAP Signal → Measures price positioning relative to VWAP for trend confirmation.
• Trend Signal → Uses a moving average to determine market direction.
• Volatility Signal → Tracks ATR changes to assess market strength.
• Divergence Detection → Identifies regular and hidden divergences for potential reversals or trend continuation.
🔹 Reversal Alerts with Color-Coded Histogram
• Green Bars → Normal bullish Opening Score.
• Red Bars → Normal bearish Opening Score.
• Orange Bars → Warning! Regular Divergence detected → Possible trend reversal.
🔹 Hidden & Regular Divergence Detection
• Regular Divergence (Reversal Signals)
• 📉 Bearish Regular Divergence → Price makes a Higher High, but Opening Score makes a Lower High → 🔻 Possible Downtrend Reversal.
• 📈 Bullish Regular Divergence → Price makes a Lower Low, but Opening Score makes a Higher Low → 🔼 Possible Uptrend Reversal.
• Hidden Divergence (Trend Continuation Signals)
• 📉 Bearish Hidden Divergence → Price makes a Lower High, but Opening Score makes a Higher High → 🔻 Trend Likely to Continue Down.
• 📈 Bullish Hidden Divergence → Price makes a Higher Low, but Opening Score makes a Lower Low → 🔼 Trend Likely to Continue Up.
How to Use It
✅ Watch for Reversal Alerts (Orange Bars) → These highlight potential market turning points.
✅ Use the Zero Line as a Trend Filter → A score above 0 suggests bullish conditions, while below 0 signals bearish conditions.
✅ Combine with Market Structure & Volume Profile → Works well when paired with support/resistance levels, liquidity zones, and order flow data.
✅ Adjust settings based on timeframe → Increase moving average length & lookback periods for longer-term analysis.
Why Use This Indicator?
🚀 Works for both short-term and long-term traders → Adapts to intraday and higher timeframes.
📊 Multi-Factor Analysis → Combines multiple key market indicators for better accuracy.
🎯 Customizable Weighting → Adjust the influence of each signal to suit your trading style.
✅ No Clutter – Only the Opening Score is plotted → Keeps your chart clean & efficient.
🔔 Recommended for Intraday Trading (1m – 30m) AND Longer-Term Analysis (1H – Weekly) → Use this indicator to enhance your trend detection & reversal strategy! 🚀
Unmitigated 50% of the RangeThis indicator is designed to display unmitigated 50% zones of price ranges within two swing (High and Low) points. The 50% level serves as a probable target for retracements before the price resumes its movement in the direction of the most recent swing. The underlying theory is that Price Action tends to correct unbalanced price zones by returning to 50% of the range.
The indicator identifies highs and lows utilizing the “Left Swing Sensitivity” setting, which detects the high/low points within the specified number of bars. It then ensures that the zone meets a minimum size requirement, configured via the “Minimum Leg Size” setting, to filter out smaller legs/zones that would not provide sufficient profit and loss opportunities for entries at 50% and take profit at the most recent swing point.
To prevent duplication of zones when the price is gradually moving up, an "Auto Adjust Levels" setting is available. Enabled by default, this feature automatically cleans up smaller zones, retaining only the primary zone between the most recent swing point and the outer swing.
Additionally, the indicator automatically removes mitigated zones where the price has returned to the 50% level, thus maintaining clean charts.
There are several visualization settings available, offering comprehensive control over what is displayed on the charts:
Control the color and style of the lines representing the 1, 0, and 50% levels.
Choose whether to display labels and if they should show the price at the rendered levels.
Optionally extend the lines/labels to the right for each level.
AdvancedLines (FiboBands) - PaSKaL
Overview :
AdvancedLines (FiboBands) - PaSKaL is an advanced technical analysis tool designed to automate the plotting of key Fibonacci retracement levels based on the highest high and lowest low over a customizable period. This indicator helps traders identify critical price zones such as support, resistance, and potential trend reversal or continuation points.
By using AdvancedLines (FiboBands) - PaSKaL , traders can easily spot key areas where the price is likely to reverse or consolidate, or where the trend may continue. It is particularly useful for trend-following, scalping, and range-trading strategies.
Key Features:
Automatic Fibonacci Level Calculation :
- The indicator automatically calculates and plots key Fibonacci levels (0.236, 0.382, 0.5, 0.618, and 0.764), which are crucial for identifying potential support and resistance levels in the market.
Adjustable Parameters :
- Bands Length: You can adjust the bands_length setting to change the number of bars used for calculating the highest high and lowest low. This gives flexibility for using the indicator on different timeframes and trading styles.
- Visibility: The Fibonacci levels, as well as the midline (0.5 Fibonacci level), can be shown or hidden based on your preference.
- Color Customization: You can change the color of each Fibonacci level and background fills to suit your chart preferences.
Fibonacci Levels
- The main Fibonacci levels plotted are:
- 0.236 – Minor support/resistance level
- 0.382 – Moderate retracement level
- 0.5 – Midpoint retracement, often used as a key level
- 0.618 – Golden ratio, considered one of the most important Fibonacci levels
- 0.764 – Strong reversal level, often indicating a continuation or change in trend
Background Fill
- The indicator allows you to fill the background between the Fibonacci levels and the bands with customizable colors. This makes it easier to visually highlight key zones on the chart.
How the Indicator Works:
AdvancedLines (FiboBands) - PaSKaL calculates the range (difference between the highest high and the lowest low) over a user-defined number of bars (e.g., 300). Fibonacci levels are derived from this range, helping traders identify potential price reversal points.
Mathematical Basis :
Fibonacci retracement levels are based on the Fibonacci sequence, where each number is the sum of the previous two (0, 1, 1, 2, 3, 5, 8, 13, etc.). The ratios derived from this sequence (such as 0.618 and 0.382) have been widely observed in nature, market cycles, and price movements. These ratios are used to forecast potential price retracements or continuation points after a major price move.
Fibonacci Levels Calculation :
Identify the Range: The highest high and the lowest low over the defined period are calculated.
Apply Fibonacci Ratios: Fibonacci ratios (0.236, 0.382, 0.5, 0.618, and 0.764) are applied to this range to calculate the corresponding price levels.
Plot the Levels: The indicator automatically plots these levels on your chart.
Customizing Fibonacci Levels & Colors:
The "AdvancedLines (FiboBands) - PaSKaL" indicator offers various customization options for Fibonacci levels, colors, and visibility:
Fibonacci Level Ratios:
- You can customize the Fibonacci level ratios through the following inputs:
- Fibo Level 1: 0.764
- Fibo Level 2: 0.618
- Fibo Level 3: 0.5
- Fibo Level 4: 0.382
- Fibo Level 5: 0.236
- These levels determine key areas where price may reverse or pause. You can adjust these ratios based on your trading preferences.
Fibonacci Level Colors:
- Each Fibonacci level can be assigned a different color to make it more distinguishable on your chart:
- Fibo Level 1 Color (default: Yellow)
- Fibo Level 2 Color (default: Orange)
- Fibo Level 3 Color (default: Green)
- Fibo Level 4 Color (default: Red)
- Fibo Level 5 Color (default: Blue)
- You can change these colors to fit your visual preferences or to align with your existing chart themes.
Visibility of Fibonacci Levels:
- You can choose whether to display each Fibonacci level using the following visibility inputs:
- Show Fibo Level 1 (0.764): Display or hide this level.
- Show Fibo Level 2 (0.618): Display or hide this level.
- Show Fibo Level 3 (0.5): Display or hide this level.
- Show Fibo Level 4 (0.382): Display or hide this level.
- Show Fibo Level 5 (0.236): Display or hide this level.
- This allows you to customize the indicator according to the specific Fibonacci levels that are most relevant to your trading strategy.
Background Fill Color
- The background between the Fibonacci levels and price bands can be filled with customizable colors:
- Fill Color for Upper Band & Fibo Level 1: This color will fill the area between the upper band and Fibonacci Level 1.
- Fill Color for Lower Band & Fibo Level 5: This color will fill the area between the lower band and Fibonacci Level 5.
- Adjusting these colors helps highlight critical zones where price may reverse or consolidate.
How to Use AdvancedLines (FiboBands) - PaSKaL in Trading :
Range Trading :
Range traders typically buy at support and sell at resistance. Fibonacci levels provide excellent support and resistance zones in a ranging market.
Example: If price reaches the 0.618 level in an uptrend, it may reverse, providing an opportunity to sell.
Conversely, if price drops to the 0.382 level, a bounce might occur, and traders can buy, anticipating the market will stay within the range.
Trend-following Trading :
For trend-following traders, Fibonacci levels act as potential entry points during a retracement. After a strong trend, price often retraces to one of the Fibonacci levels before continuing in the direction of the trend.
Example: In a bullish trend, when price retraces to the 0.382 level, it could be a signal to buy, as the price might resume its upward movement after the correction.
In a bearish trend, retracements to levels like 0.618 or 0.764 could provide optimal opportunities for shorting as the price resumes its downward movement.
Scalping :
Scalpers focus on short-term price movements. Fibonacci levels can help identify precise entry and exit points for quick trades.
Example: If price is fluctuating in a narrow range, a scalper can enter a buy trade at 0.236 and exit at the next Fibonacci level, such as 0.382 or 0.5, capturing small but consistent profits.
Stop-Loss and Take-Profit Levels :
Fibonacci levels can also help in setting stop-loss and take-profit levels.
Example: In a bullish trend, you can set a stop-loss just below the 0.236 level and a take-profit at 0.618.
In a bearish trend, set the stop-loss just above the 0.382 level and the take-profit at 0.764.
Identifying Reversals and Continuations :
Reversals: When price reaches a Fibonacci level and reverses direction, it may indicate the end of a price move.
Trend Continuation: If price bounces off a Fibonacci level and continues in the same direction, this may signal that the trend is still intact.
Conclusion :
AdvancedLines (FiboBands) - PaSKaL is an essential tool for any trader who uses Fibonacci retracements in their trading strategy. By automatically plotting key Fibonacci levels, this indicator helps traders quickly identify support and resistance zones, forecast potential reversals, and make more informed trading decisions.
For Trend-following Traders: Use Fibonacci levels to find optimal entry points after a price retracement.
For Range Traders: Identify key levels where price is likely to reverse or bounce within a range.
For Scalpers: Pinpoint small price movements and take advantage of quick profits by entering and exiting trades at precise Fibonacci levels.
By incorporating AdvancedLines (FiboBands) - PaSKaL into your trading setup, you will gain a deeper understanding of price action, improve your decision-making process, and enhance your overall trading performance.
Position resetThe "Position Reset" indicator
The Position Reset indicator is a sophisticated technical analysis tool designed to identify possible entry points into short positions based on an analysis of market volatility and the behavior of various groups of bidders. The main purpose of this indicator is to provide traders with information about the current state of the market and help them decide whether to open short positions depending on the level of volatility and the mood of the main players.
The main components of the indicator:
1. Parameters for the RSI (Relative Strength Index):
The indicator uses two sets of parameters to calculate the RSI: one for bankers ("Banker"), the other for hot money ("Hot Money").
RSI for Bankers:
RSIBaseBanker: The baseline for calculating bankers' RSI. The default value is 50.
RSIPeriodBanker: The period for calculating the RSI for bankers. The default period is 14.
RSI for hot money:
RSIBaseHotMoney: The baseline for calculating the RSI of hot money. The default value is 30.
RSIPeriodHotMoney: The period for calculating the RSI for hot money. The default period is 21.
These parameters allow you to adjust the sensitivity of the indicator to the actions of different groups of market participants.
2. Sensitivity:
Sensitivity determines how strongly changes in the RSI will affect the final result of calculations. It is configured separately for bankers and hot money:
SensitivityBanker: Sensitivity for bankers' RSI. It is set to 2.0 by default.
SensitivityHotMoney: Sensitivity for hot money RSI. It is set to 1.0 by default.
Changing these parameters allows you to adapt the indicator to different market conditions and trader preferences.
3. Volatility Analysis:
Volatility is measured based on the length of the period, which is set by the volLength parameter. The default length is 30 candles. The indicator calculates the difference between the highest and lowest value for the specified period and divides this difference by the lowest value, thus obtaining the volatility coefficient.
Based on this coefficient, four levels of volatility are distinguished.:
Extreme volatility: The coefficient is greater than or equal to 0.25.
High volatility: The coefficient ranges from 0.125 to 0.2499.
Normal volatility: The coefficient ranges from 0.05 to 0.1249.
Low volatility: The coefficient is less than 0.0499.
Each level of volatility has its own significance for making decisions about entering a position.
4. Calculation functions:
The indicator uses several functions to process the RSI and volatility data.:
rsi_function: This function applies to every type of RSI (bankers and hot money). It adjusts the RSI value according to the set sensitivity and baseline, limiting the range of values from 0 to 20.
Moving Averages: Simple moving averages (SMA), exponential moving averages (EMA), and weighted moving averages (RMA) are used to smooth fluctuations. They are applied to different time intervals to obtain the average values of the RSI.
Thus, the indicator creates a comprehensive picture of market behavior, taking into account both short-term and long-term dynamics.
5. Bearish signals:
Bearish signals are considered situations when the RSI crosses certain levels simultaneously with a drop in indicators for both types of market participants (bankers and hot money).:
The bankers' RSI crossing is below the level of 8.5.
The current hot money RSI is less than 18.
The moving averages for banks and hot money are below their signal lines.
The RSI values for bankers are less than 5.
These conditions indicate a possible beginning of a downtrend.
6. Signal generation:
Depending on the current level of volatility and the presence of bearish signals, the indicator generates three types of signals:
Orange circle: Extremely high volatility and the presence of a bearish signal.
Yellow circle: High volatility and the presence of a bearish signal.
Green circle: Low volatility and the presence of a bearish signal.
These visual markers help the trader to quickly understand what level of risk accompanies each specific signal.
7. Notifications:
The indicator supports the function of sending notifications when one of the three types of signals occurs. The notification contains a brief description of the conditions under which the signal was generated, which allows the trader to respond promptly to a change in the market situation.
Advantages of using the "Position Reset" indicator:
Multi-level analysis: The indicator combines technical analysis (RSI) and volatility assessment, providing a comprehensive view of the current market situation.
Flexibility of settings: The ability to adjust the sensitivity parameters and the RSI baselines allows you to adapt the indicator to any market conditions and personal preferences of the trader.
Clear visualization: The use of colored labels on the chart simplifies the perception of information and helps to quickly identify key points for entering a trade.
Notification support: The notification sending feature makes it much easier to monitor the market, allowing you to respond to important events in time.
✘ -Edward本脚本由Edward编写,实现VWAP + sessions + vp 功能。
主要功能
日度(Daily)
周度(Weekly)
月度(Monthly)
季度(Quarterly)
年度(Yearly)
支持日、周、月、季、年度VWAP分析
显示当前和历史时间周期VWAP
绘制VWAP上下波动带
自定义颜色和显示选项
pyVWAP:上一年度VWAP
yVWAP:当前年度VWAP
pqVWAP:上一季度VWAP
qVWAP:当前季度VWAP
pyVWAP:上一年度VWAP
yVWAP:当前年度VWAP
-1/+1:上下波动带
颜色编码区分不同时间周期
启用/禁用特定周期的VWAP和波动带。
自定义线条颜色和样式。