[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
Indicators and strategies
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.
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.
Fibonacci Volume Profiles [AlgoAlpha]Unlock a deeper understanding of price action with the Fibonacci Volume Profiles indicator by AlgoAlpha! This powerful tool blends Fibonacci retracement levels with customizable volume profiles, helping traders identify high-probability areas of support, resistance, and accumulation. Designed for both continuous dynamic levels and custom time periods, this indicator is a must-have for traders seeking confluence in market structure analysis.
🔑 Key Features
📈 Dual Mode Selection : Choose between Continuous Fibonacci levels, which adapt dynamically to pivots, or a Custom Period mode, where you set your own start and end points.
📊 Integrated Volume Profile : Visualize volume distributions at key Fibonacci retracement levels, revealing areas of strong buying/selling interest.
🎨 Customizable Colors & Transparency : Adjust Fibonacci level colors, fill zones, and profile transparency for a visually clear experience.
🔍 Profile Resolution & Scaling : Control the number of price levels and width of the volume profile for detailed market insights.
🛠 Extendable Levels : Optionally extend Fibonacci levels to the right of the chart for better visualization of future price interaction.
📌 How to Use
Add the Indicator: Click on the star icon to add it to your favorites and apply it to your TradingView chart.
Analyze The Market: Observe how price interacts with Fibonacci levels alongside the volume profile to confirm support/resistance zones. Switch between custom range or continuous mode to align the tool with your trading style.
⚙️ How It Works
The indicator calculates pivot highs/lows dynamically (or uses user-defined time periods) to plot Fibonacci retracement levels. It then builds a volume profile by analyzing historical volume data, grouping it into price bins to highlight volume-heavy zones. The Point of Control (PoC) is identified as the level with the highest traded volume, acting as a key price magnet. The color-coded Fibonacci levels help traders spot retracement zones, while the volume profile confirms strength or weakness in those areas.
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
-----------------
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.
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!
✘ -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。
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! 🚀
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.
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
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.
Triad Trade MatrixOverview
Triad Trade Matrix is an advanced multi-strategy indicator built using Pine Script v5. It is designed to simultaneously track and display key trading metrics for three distinct trading styles on a single chart:
Swing Trading (Swing Supreme):
This mode captures longer-term trends and is designed for trades that typically span several days. It uses customizable depth and deviation parameters to determine swing signals.
Day Trading (Day Blaze):
This mode focuses on intraday price movements. It generates signals that are intended to be executed within a single trading session. The parameters for depth and deviation are tuned to capture more frequent, shorter-term moves.
Scalping (Scalp Surge):
This mode is designed for very short-term trades where quick entries and exits are key. It uses more sensitive parameters to detect rapid price movements suitable for scalping strategies.
Each trading style is represented by its own merged table that displays real-time metrics. The tables update automatically as new trading signals are generated.
Key Features
Multi-Style Tracking:
Swing Supreme (Large): For swing trading; uses a purple theme.
Day Blaze (Medium): For day trading; uses an orange theme.
Scalp Surge (Small): For scalping; uses a green theme.
Real-Time Metrics:
Each table displays key trade metrics including:
Entry Price: The price at which the trade was entered.
Exit Price: The price at which the previous trade was exited.
Position Size: Calculated as the account size divided by the entry price.
Direction: Indicates whether the trade is “Up” (long) or “Down” (short).
Time: The time when the trade was executed (formatted to hours and minutes).
Wins/Losses: The cumulative number of winning and losing trades.
Current Price & PnL: The current price on the chart and the profit/loss computed relative to the entry price.
Duration: The number of bars that the trade has been open.
History Column: A merged summary column that shows the most recent trade’s details (entry, exit, and result).
Customizability:
Column Visibility: Users can toggle individual columns (Ticker, Timeframe, Entry, Exit, etc.) on or off according to their preference.
Appearance Settings: You can customize the table border width, frame color, header background, and text colors.
History Toggle: The merged history column can be enabled or disabled.
Chart Markers: There is an option to show or hide chart markers (labels and lines) that indicate trade entries and exits on the chart.
Trade History Management:
The indicator maintains a rolling history (up to three recent trades per trading style) and displays the latest summary in the merged table.
This history column provides a quick reference to recent performance.
How It Works
Signal Generation & Trade Metrics
Trade Entry/Exit Calculation:
For each trading style, the indicator uses built-in functions (such as ta.lowestbars and ta.highestbars) to analyze price movements. Based on a customizable "depth" and "deviation" parameter, it determines the point of entry for a trade.
Swing Supreme: Uses larger depth/deviation values to capture swing trends.
Day Blaze: Uses intermediate values for intraday moves.
Scalp Surge: Uses tighter parameters to pick up rapid price changes.
Metrics Update:
When a new trade signal is generated (i.e., when the trade entry price is updated), the indicator calculates:
The current PnL as the difference between the current price and the entry price (or vice versa, depending on the trade direction).
The duration as the number of bars since the trade was opened.
The position size using the formula: accountSize / entryPrice.
History Recording:
Each time a new trade is triggered (i.e., when the entry price is updated), a summary string is created (showing entry, exit, and win/loss status) and appended to the corresponding trade history array. The merged table then displays the latest summary from this history.
Table Display
Merged Table Structure:
Each trading style (Swing Supreme, Day Blaze, and Scalp Surge) is represented by a table that has 15 columns. The columns are:
Trade Type (e.g., Swing Supreme)
Ticker
Timeframe
Entry Price
Exit Price
Position Size
Direction
Time of Entry
Account Size
Wins
Losses
Current Price
Current PnL
Duration (in bars)
History (the latest trade summary)
User Customization:
Through the settings panel, users can choose which columns to display.
If a column is toggled off, its cells will remain blank, allowing traders to focus on the metrics that matter most to them.
Appearance & Themes:
The table headers and cell backgrounds are customizable via color inputs. The trading style names are color-coded:
Swing Supreme (Large): Uses a purple theme.
Day Blaze (Medium): Uses an orange theme.
Scalp Surge (Small): Uses a green theme.
How to Use the Indicator
Add the Indicator to Your Chart:
Once published, add "Triad Trade Matrix" to your TradingView chart.
Configure the Settings:
Adjust the Account Size to match your trading capital.
Use the Depth and Deviation inputs for each trading style to fine-tune the signal sensitivity.
Toggle the Chart Markers on if you want visual entry/exit markers on the chart.
Customize which columns are visible via the column visibility toggles.
Enable or disable the History Column to show the merged trade history in the table.
Adjust the appearance settings (colors, border width, etc.) to suit your chart background and preferences.
Interpret the Tables:
Swing Supreme:
This table shows metrics for swing trades.
Look for changes in entry price, PnL, and trade duration to monitor longer-term moves.
Day Blaze:
This table tracks day trading activity.It will update more frequently, reflecting intraday trends.
Scalp Surge:
This table is dedicated to scalping signals.Use it to see quick entry/exit data and rapid profit/loss changes.
The History column (if enabled) gives you a snapshot of the most recent trade (e.g., "E:123.45 X:124.00 Up Win").
Use allerts:
The indicator includes alert condition for new trade entries(both long and short)for each trading style.
Summary:
Triad Trade Matrix provides an robust,multi-dimensional view of your trading performance across swing trading, day trading, and scalping.
Best to be used whith my other indicators
True low high
Vma Ext_Adv_CustomTbl
This indicator is ideal for traders who wish to monitor multiple trading styles simultaneously, with a clear, technical, and real-time display of performance metrics.
Happy Trading!
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:
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.
RSI/MOM/MACD/Squezee/Donchian/HULL/SUPERTREND/Waddath Attar GAOOptimized Trading Strategy with RSI, MOM, MACD, Donchian, Squeeze, HULL, Supertrend & Waddah Attar
Our trading strategy combines multiple technical indicators to maximize trend identification, momentum confirmation, and trade execution precision.
📌 RSI (Relative Strength Index) – Measures overbought and oversold conditions, helping to spot potential reversals.
📌 MOM (Momentum Indicator) – Confirms price acceleration and strength, identifying possible breakouts or trend exhaustion.
📌 MACD (Moving Average Convergence Divergence) – A trend-following momentum indicator that highlights bullish or bearish crossovers.
📌 Donchian Channel – Defines support and resistance levels, signaling breakouts when price moves beyond its range.
📌 Squeeze (TTM Squeeze) – Detects periods of low volatility before explosive moves, ideal for breakout trading.
📌 HULL Moving Average – A fast and smooth moving average used to reduce lag and provide better trend direction.
📌 Supertrend – A dynamic trend indicator that adjusts based on volatility, providing clear buy and sell signals.
📌 Waddah Attar Explosion – Measures momentum and volatility, helping to confirm strong breakouts with volume-based signals.
By integrating these indicators on higher timeframes (such as 4H and Daily), traders can refine entry and exit points, minimize false signals, and maximize profits. 🚀📈
Fixed Gap Price LevelsIndicator Description:
The Fixed Gap Price Levels indicator draws horizontal price levels at user-defined intervals on the chart.
Users can select a starting price level (e.g., 71 or 2.1).
Lines are drawn at fixed gaps (e.g., if 71 is chosen, lines appear at 71, 142, 213, etc.).
An optional midpoint line can be enabled to appear halfway between the main levels.
Customizable colors for both main and midpoint lines.
Lines extend across the entire screen for easy visualization of price levels.
This tool helps traders quickly identify key price levels based on predefined spacing, aiding in technical analysis.
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
Multiple Candlestick Patterns - AlgomaxxA comprehensive candlestick pattern detection indicator that identifies seven major Japanese candlestick patterns in real-time. This indicator helps traders identify potential reversal and continuation patterns with customizable visual alerts and labels.
Features
Detects 7 major candlestick patterns:
Doji
Hammer
Shooting Star
Bullish Engulfing
Bearish Engulfing
Morning Star
Evening Star
Color-coded candlesticks for easy pattern identification
Customizable pattern indicators above/below candles
Optional pattern labels with adjustable position
Alert conditions for each pattern
Grouped settings for easy customization
Settings
General Settings
Lookback Period: Number of candles to analyze (default: 20)
Body Size Threshold: Minimum relative size for candle body (default: 0.6)
Pattern Settings
Toggle visibility for each pattern type:
Doji Pattern
Hammer Pattern
Shooting Star Pattern
Bullish Engulfing Pattern
Bearish Engulfing Pattern
Morning Star Pattern
Evening Star Pattern
Label Settings
Show Labels: Toggle pattern labels on/off
Label Text Color: Customize label color
Label Position: Choose between Left/Center/Right alignment
Label Offset: Adjust distance of labels from candles
Pattern Descriptions
Doji: Shows indecision when open and close prices are very close
Yellow color
Cross symbol below candle
Hammer: Potential bullish reversal with long lower shadow
Green color
Triangle up symbol below candle
Shooting Star: Potential bearish reversal with long upper shadow
Red color
Triangle down symbol above candle
Bullish Engulfing: Bullish reversal pattern where current green candle completely engulfs previous red candle
Light green color
Triangle up symbol below candle
Bearish Engulfing: Bearish reversal pattern where current red candle completely engulfs previous green candle
Light red color
Triangle down symbol above candle
Morning Star: Three-candle bullish reversal pattern
Seafoam green color
Triangle up symbol below candle
Evening Star: Three-candle bearish reversal pattern
Pink red color
Triangle down symbol above candle
How to Use
Add the indicator to your chart
Customize the settings based on your preferences:
Enable/disable specific patterns you want to monitor
Adjust label settings for better visibility
Set up alerts for patterns you want to be notified about
Pattern Recognition:
Watch for color changes in candlesticks indicating pattern formation
Look for shape indicators above/below candles
Read pattern labels for quick pattern identification
Trading Suggestions:
Use in conjunction with other technical indicators
Consider overall trend and support/resistance levels
Confirm patterns with volume and price action
Wait for pattern completion before making trading decisions
Tips
Patterns work best when used with multiple timeframes
Combine with trend lines and support/resistance levels
Use volume to confirm pattern strength
Consider market context and overall trend
Larger timeframes typically produce more reliable signals
Use alerts to avoid missing important pattern formations
Disclaimer
This indicator is for informational and educational purposes only. No guarantee is made regarding the accuracy of pattern detection or potential future price movements. Always use proper risk management and consider multiple factors before making trading decisions.
EMA Ribbon + Volume Profile (Combined Indicator)I combine the Volume Profile script from kv4coins () with EMA Ribbon (inspired by @mondays_range on X).
⚠️ Only enable the buy signal plot on the total market cap chart like TOTAL, TOTAL2, TOTAL3, or OTHERS. The bigger the tier, the better the signal. This is the first version, I will update this gradually when I have time.
Always DYOR. Don't trust, verify!
Phala LsS //@version=5
indicator('Phala LsS ', overlay=true, max_lines_count=500)
// User inputs
incval = input.float(title='Increment Value', defval=2.5)
lineColor = input.color(color.new(color.blue, 65), 'Line Color')
lineWidth = input.int(title='Line Width', defval=1, minval=1, maxval=5)
labelColor = input.color(color.white, 'Label Color')
// Calculate the reference price from the close price
selectedprice = math.ceil(math.round(close) / 10) * 10
// Function to round price to the nearest 5
roundToNearest5(x) =>
rounded = math.round(x / 5) * 5
rounded
// Draw horizontal lines and labels
if barstate.islast
for i = 0 to 20
// Calculate price with increments and round to the nearest 5
priceAbove = roundToNearest5(selectedprice + incval * i)
priceBelow = roundToNearest5(selectedprice - incval * i)
// Draw new lines above and below the selected price
line.new(bar_index, priceAbove, bar_index + 1, priceAbove, extend=extend.both, color=lineColor, width=lineWidth)
line.new(bar_index, priceBelow, bar_index + 1, priceBelow, extend=extend.both, color=lineColor, width=lineWidth)
// Add price labels next to the lines
label.new(bar_index + 1, priceAbove, text=str.tostring(priceAbove), color=labelColor, textcolor=color.black, style=label.style_label_left, size=size.small)
label.new(bar_index + 1, priceBelow, text=str.tostring(priceBelow), color=labelColor, textcolor=color.black, style=label.style_label_left, size=size.small)
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.
