Ultra Market StructureThe Ultra Market Structure indicator detects key market structure breaks, such as Break of Structure (BoS) and Change of Character (CHoCH), to help identify trend reversals. It plots lines and labels on the chart to visualize these breakpoints with alerts for important signals.
Introduction
This script is designed to help traders visualize important market structure events, such as trend breaks and reversals, using concepts like Break of Structure (BoS) and Change of Character (CHoCH). The indicator highlights internal and external price levels where the market shifts direction. It offers clear visual signals and alerts to keep traders informed of potential changes in the market trend.
Detailed Description
The indicator focuses on detecting "market structure breaks," which occur when the price moves past significant support or resistance levels, suggesting a potential reversal or continuation of the trend.
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Type of structure
Internal Structure: Focuses on smaller, shorter-term price levels within the current market trend.
External Structure: Focuses on larger, longer-term price levels that may indicate more significant shifts in the market.
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Key events
Break of Structure (BoS): A market structure break where the price surpasses a previous high (bullish BoS) or low (bearish BoS).
Change of Character (CHoCH): A shift in market behavior when the price fails to continue in the same direction, indicating a possible trend reversal.
Once a break or shift is detected, the script plots lines and labels on the chart to visually mark the breakpoints.
It also provides alerts when a BoS or CHoCH occurs, keeping traders informed in real-time.
The indicator can color the background and candles based on the market structure, making it easy to identify the current trend.
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Special feature
At news events or other momentum pushes most structure indicators will go into "sleep mode" because of too far away structure highs/lows. This indicator has a structure reset feature to solve this issue.
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Detects Break of Structure (BoS) and Change of Character (CHoCH) signals.
Marks internal and external support/resistance levels where market trends change.
Provides visual cues (lines, labels) and real-time alerts for structure breaks.
Offers background and candle color customization to highlight market direction.
在腳本中搜尋"reversal"
Savitzky-Golay Z-Score [BackQuant]Savitzky-Golay Z-Score
The Savitzky-Golay Z-Score is a powerful trading indicator that combines the precision of the Savitzky-Golay filter with the statistical strength of the Z-Score. This advanced indicator is designed to detect trend shifts, identify overbought or oversold conditions, and highlight potential divergences in the market, providing traders with a unique edge in detecting momentum changes and trend reversals.
Core Concept: Savitzky-Golay Filter
The Savitzky-Golay filter is a widely-used smoothing technique that preserves important signal features such as peak detection while filtering out noise. In this indicator, the filter is applied to price data (default set to HLC3) to smooth out volatility and produce a cleaner trend line. By specifying the window size and polynomial degree, traders can fine-tune the degree of smoothing to match their preferred trading style or market conditions.
Z-Score: Measuring Deviation
The Z-Score is a statistical measure that indicates how far the current price is from its mean in terms of standard deviations. In trading, the Z-Score can be used to identify extreme price moves that are likely to revert or continue trending. A positive Z-Score means the price is above the mean, while a negative Z-Score indicates the price is below the mean.
This script calculates the Z-Score based on the Savitzky-Golay filtered price, enabling traders to detect moments when the price is diverging from its typical range and may present an opportunity for a trade.
Long and Short Conditions
The Savitzky-Golay Z-Score generates clear long and short signals based on the Z-Score value:
Long Signals : When the Z-Score is positive, indicating the price is above its smoothed mean, a long signal is generated. The color of the bars turns green, signaling upward momentum.
Short Signals : When the Z-Score is negative, indicating the price is below its smoothed mean, a short signal is generated. The bars turn red, signaling downward momentum.
These signals allow traders to follow the prevailing trend with confidence, using statistical backing to avoid false signals from short-term volatility.
Standard Deviation Levels and Extreme Levels
This indicator includes several features to help visualize overbought and oversold conditions:
Standard Deviation Levels: The script plots horizontal lines at +1, +2, -1, and -2 standard deviations. These levels provide a reference for how far the current price is from the mean, allowing traders to quickly identify when the price is moving into extreme territory.
Extreme Levels: Additional extreme levels at +3 and +4 (and their negative counterparts) are plotted to highlight areas where the price is highly likely to revert. These extreme levels provide important insight into market conditions that are far outside the norm, signaling caution or potential reversal zones.
The indicator also adapts the color shading of these extreme zones based on the Z-Score’s strength. For example, the area between +3 and +4 is shaded with a stronger color when the Z-Score approaches these values, giving a visual representation of market pressure.
Divergences: Detecting Hidden and Regular Signals
A key feature of the Savitzky-Golay Z-Score is its ability to detect bullish and bearish divergences, both regular and hidden:
Regular Bullish Divergence: This occurs when the price makes a lower low while the Z-Score forms a higher low. It signals that bearish momentum is weakening, and a bullish reversal could be near.
Hidden Bullish Divergence: This divergence occurs when the price makes a higher low while the Z-Score forms a lower low. It signals that bullish momentum may continue after a temporary pullback.
Regular Bearish Divergence: This occurs when the price makes a higher high while the Z-Score forms a lower high, signaling that bullish momentum is weakening and a bearish reversal may be near.
Hidden Bearish Divergence: This divergence occurs when the price makes a lower high while the Z-Score forms a higher high, indicating that bearish momentum may continue after a temporary rally.
These divergences are plotted directly on the chart, making it easier for traders to spot when the price and momentum are out of sync and when a potential reversal may occur.
Customization and Visualization
The Savitzky-Golay Z-Score offers a range of customization options to fit different trading styles:
Window Size and Polynomial Degree: Adjust the window size and polynomial degree of the Savitzky-Golay filter to control how much smoothing is applied to the price data.
Z-Score Lookback Period: Set the lookback period for calculating the Z-Score, allowing traders to fine-tune the sensitivity to short-term or long-term price movements.
Display Options: Choose whether to display standard deviation levels, extreme levels, and divergence labels on the chart.
Bar Color: Color the price bars based on trend direction, with green for bullish trends and red for bearish trends, allowing traders to easily visualize the current momentum.
Divergences: Enable or disable divergence detection, and adjust the lookback periods for pivots used to detect regular and hidden divergences.
Alerts and Automation
To ensure you never miss an important signal, the indicator includes built-in alert conditions for the following events:
Positive Z-Score (Long Signal): Triggers an alert when the Z-Score crosses above zero, indicating a potential buying opportunity.
Negative Z-Score (Short Signal): Triggers an alert when the Z-Score crosses below zero, signaling a potential short opportunity.
Shifting Momentum: Alerts when the Z-Score is shifting up or down, providing early warning of changing market conditions.
These alerts can be configured to notify you via email, SMS, or app notification, allowing you to stay on top of the market without having to constantly monitor the chart.
Trading Applications
The Savitzky-Golay Z-Score is a versatile tool that can be applied across multiple trading strategies:
Trend Following: By smoothing the price and calculating the Z-Score, this indicator helps traders follow the prevailing trend while avoiding false signals from short-term volatility.
Mean Reversion: The Z-Score highlights moments when the price is far from its mean, helping traders identify overbought or oversold conditions and capitalize on potential reversals.
Divergence Trading: Regular and hidden divergences between the Z-Score and price provide early warning of trend reversals, allowing traders to enter trades at opportune moments.
Final Thoughts
The Savitzky-Golay Z-Score is an advanced statistical tool designed to provide a clearer view of market trends and momentum. By applying the Savitzky-Golay filter and Z-Score analysis, this indicator reduces noise and highlights key areas where the market may reverse or accelerate, giving traders a significant edge in understanding price behavior.
Whether you’re a trend follower or a reversal trader, this indicator offers the flexibility and insights you need to navigate complex markets with confidence.
Parabolic SAR Crosses_AITIndicator Name: Parabolic SAR Crosses_AIT
Purpose:
This indicator utilizes the Parabolic SAR to track price trends and generate buy (long) and sell (short) signals when the price crosses the Parabolic SAR line. The indicator is designed to help traders identify trend direction and potential trend reversals on the price chart.
Indicator Overview:
Indicator Parameters:
Parabolic SAR: The default settings for the Parabolic SAR are:
Step: 0.02
Maximum: 0.2 These values can be adjusted by the user to control the sensitivity of the SAR.
Signal Conditions:
Buy Signal (Long): A buy signal is generated when the price crosses above the Parabolic SAR line.
Sell Signal (Short): A sell signal is generated when the price crosses below the Parabolic SAR line.
How It Works:
Buy Signal:
When the price crosses above the Parabolic SAR line, it indicates a potential upward trend. A yellow triangle (L) will appear below the price bar, signaling a possible long entry.
Sell Signal:
When the price crosses below the Parabolic SAR line, it indicates a potential downward trend. A fuchsia triangle (S) will appear above the price bar, signaling a possible short entry.
Trend Detection:
Green Line: Indicates that the Parabolic SAR is below the price, suggesting an uptrend.
Red Line: Indicates that the Parabolic SAR is above the price, suggesting a downtrend.
Trend Reversal:
A trend reversal occurs when the Parabolic SAR switches positions relative to the price. This can be used to exit positions or enter positions in the opposite direction.
Customization:
Step Size: The step parameter controls how sensitive the Parabolic SAR is to price changes. A smaller step value (e.g., 0.01) makes the SAR less sensitive, while a larger step value (e.g., 0.05) makes it more sensitive.
Maximum: The maximum value defines the upper limit for the acceleration factor in the SAR calculation. A higher value allows the SAR to track the price more closely, while a lower value smooths the trend.
Visual Representation:
The Parabolic SAR line is plotted directly on the price chart as a solid line, using the appropriate colors (green or red) depending on the trend direction.
Long signals are indicated by small yellow triangles (L) below the price.
Short signals are indicated by small fuchsia triangles (S) above the price.
Usage Tips:
Combining with Other Indicators: While Parabolic SAR is a great tool for identifying trend direction, it may produce false signals in ranging or sideways markets. Combining this indicator with other trend confirmation tools, such as moving averages or the MACD, can improve its reliability.
Adjusting the Step and Maximum Values: In highly volatile markets, it might be useful to reduce the step value to avoid false signals. In more stable, trending markets, increasing the step value can make the SAR more responsive.
Position Management: Parabolic SAR can be used not only to enter trades but also to manage existing positions by acting as a trailing stop-loss. You can use the SAR value as a dynamic stop-loss level, adjusting it as the trend progresses.
Conclusion:
The Parabolic SAR Crosses_AIT indicator helps traders visually identify trend directions and possible trend reversals by plotting the Parabolic SAR directly on the price chart. With customizable settings for sensitivity and signals that indicate long or short positions, this indicator provides a clear and effective method to manage trades based on trend-following strategies.
Periodical Trend [BigBeluga]The Periodical Trend indicator is designed to provide a detailed analysis of market trends and volatility. It utilizes a combination of Moving Averages and volatility measures to plot trend line, highlight potential trend reversals, and indicate mean reversion opportunities. The indicator offers customizable display options, allowing traders to adjust for sensitivity, volatility bands, and price deviation visibility.
🔵 KEY FEATURES
● Periodical Trend Analysis
Uses (high + volatility) or (low - volatility) as the foundation for trend analysis with a set period.
// Condition to update the AVG array based on the selected mode
if mode == "Normal"
? bar_index == 122
: bar_index % period == 0
AVG.push(close) // Add the close price to the AVG array
// Update AVG array based on the period and price comparison
if bar_index % period == 0
if close > AVG.last() // If the current close is greater than the last stored value in AVG
AVG.push(low - vlt) // Add the low price minus volatility to the array
if close < AVG.last() // If the current close is lower than the last stored value in AVG
AVG.push(high + vlt) // Add the high price plus volatility to the array
Provides adjustable sensitivity modes ("Normal" and "Sensitive") for different market conditions.
Trend direction is visualized with dynamic color coding based on the relationship between the trend line and price.
● Volatility Bands
Displays upper and lower volatility bands derived from a moving average of price volatility (high-low).
The bands help identify potential breakout zones, overbought, or oversold conditions.
Users can toggle the visibility of the bands to suit their trading style.
● Mean Reversion Signals
Detects mean reversion opportunities when price deviates significantly from the trend line.
Includes both regular and strong mean reversion signals, marked directly on the chart.
Signals are based on oscillator crossovers, offering potential entry and exit points.
● Price Deviation Oscillator
Plots an oscillator that measures the deviation of price from the average trend line.
The oscillator is normalized using standard deviation, highlighting extreme price deviations.
Traders can choose to display the oscillator for in-depth analysis of price behavior relative to the trend.
● Dynamic Trend Coloring
The indicator colors the background on the direction of the trend.
Green indicates bullish trends, while blue indicates bearish trends.
The trend colors adapt dynamically to market conditions, providing clear visual cues for traders.
🔵 HOW TO USE
● Trend Analysis
The trend line represents the current market direction. A green trend line suggests a bullish trend, while a blue trend line indicates a bearish trend.
Use the trend line in conjunction with volatility bands to confirm potential breakouts or areas of consolidation.
● Volatility Bands
Volatility bands offer insight into potential overbought or oversold conditions.
Price exceeding these bands can signal a strong trend continuation or a possible reversal.
● Mean Reversion Strategies
Look for mean reversion signals (regular and strong) when price shows signs of reverting to the trend line after significant deviation.
Regular signals are represented by small dots, while strong signals are represented by larger circles.
These signals can be used as entry or exit points, depending on the market context.
● Price Deviation Analysis
The oscillator provides a detailed view of price deviations from the trend line.
A positive oscillator value indicates that the price is above the trend, while a negative value suggests it is below.
Use the oscillator to identify potential overbought or oversold conditions within the trend.
🔵 USER INPUTS
● Period
Defines the length of the period used for calculating the trend line. A higher period smooths out the trend, while a shorter period makes the trend line more sensitive to price changes.
● Mode
Choose between "Normal" and "Sensitive" modes for trend detection. The "Sensitive" mode responds more quickly to price changes, while the "Normal" mode offers smoother trend lines.
● Volatility Bands
Toggle the display of upper and lower volatility bands. These bands help identify potential areas of price exhaustion or continuation.
● Price Deviation
Toggle the display of the price deviation oscillator. This oscillator shows the deviation of the current price from the trend line and highlights extreme conditions.
● Mean Reversion Signals
Toggle the display of mean reversion signals. These signals highlight potential reversal points when the price deviates significantly from the trend.
● Strong Mean Reversion Signals
Toggle the display of stronger mean reversion signals, which occur at more extreme deviations from the trend.
● Width
Adjust the thickness of the trend line for better visibility on the chart.
🔵 CONCLUSION
The Periodical Trend indicator combines trend analysis, volatility bands, and mean reversion signals to provide traders with a comprehensive tool for market analysis. By offering customizable display options and dynamic trend coloring, this indicator can adapt to different trading styles and market conditions. Whether you are a trend follower or a mean reversion trader, the Periodical Trend indicator helps identify key market opportunities and potential reversals.
For optimal results, it is recommended to use this indicator alongside other technical analysis tools and within the context of a well-structured trading strategy.
Super IndicatorOverview of the Combined Indicator
This combined indicator leverages three major technical analysis tools:
Bollinger Bands
Linear Regression Channels
Scalping Strategy Indicators (RSI, MACD, SMA)
Each of these tools provides unique insights into market conditions, and their integration offers a comprehensive view of price movements, trends, and potential trading signals.
1. Bollinger Bands
Purpose:
Bollinger Bands are used to measure market volatility and identify overbought or oversold conditions.
Components:
Basis (Middle Band): Typically a 20-period Simple Moving Average (SMA).
Upper Band: Basis + (2 * Standard Deviation).
Lower Band: Basis - (2 * Standard Deviation).
Why They Complement:
Bollinger Bands expand and contract based on market volatility. When the bands are narrow, it indicates low volatility and potential for a significant move. Wide bands indicate high volatility. This helps traders gauge the strength of market moves and potential reversals.
2. Linear Regression Channels
Purpose:
Linear Regression Channels identify the overall trend direction and measure deviation from the mean price over a specific period.
Components:
Middle Line (Linear Regression Line): The line of best fit through the price data over a specified period.
Upper and Lower Lines: Channels created by adding/subtracting a multiple of the standard deviation or another deviation measure from the regression line.
Why They Complement:
Linear Regression Channels provide a clear visual representation of the trend direction and the range within which prices typically fluctuate. This can help traders identify trend continuations and reversals, making it easier to spot entry and exit points.
3. Scalping Strategy Indicators
Purpose:
The RSI, MACD, and SMA are used to generate short-term buy and sell signals, which are essential for scalping strategies aimed at capturing quick profits from small price movements.
Components:
RSI (Relative Strength Index): Measures the speed and change of price movements, typically over 14 periods. It helps identify overbought and oversold conditions.
MACD (Moving Average Convergence Divergence): Consists of the MACD line, Signal line, and histogram. It helps identify changes in the strength, direction, momentum, and duration of a trend.
SMA (Simple Moving Average): The average price over a specified period, used to smooth out price data and identify trends.
Why They Complement:
These indicators provide short-term signals that can confirm or refute the signals given by Bollinger Bands and Linear Regression Channels. For example, a buy signal might be more reliable if the price is near the lower Bollinger Band and the MACD crosses above its signal line.
How They Work Together
Scenario 1: Confirming Trend Continuations
Bollinger Bands: Price staying near the upper band suggests a strong uptrend.
Linear Regression Channels: Price staying above the middle line confirms the uptrend.
5-Minute Scalping Strategy: RSI not in overbought territory, and MACD showing bullish momentum confirms continuation.
Scenario 2: Identifying Reversals
Bollinger Bands: Price touching or moving outside the lower band suggests oversold conditions.
Linear Regression Channels: Price at the lower channel line indicates potential support.
5-Minute Scalping Strategy: RSI in oversold territory, and MACD showing a bullish crossover indicates a reversal.
Scenario 3: Volatility Breakouts
Bollinger Bands: Bands contracting indicates low volatility and potential breakout.
Linear Regression Channels: Price moving away from the middle line signals potential breakout direction.
Scalping Strategy: MACD and RSI confirming the breakout direction for entry.
Input Parameters:
Define settings for Bollinger Bands, Linear Regression Channels, and the scalping strategy.
Allow users to customize lengths, multipliers, and colors.
Bollinger Bands Calculation:
Calculate the basis (SMA) and standard deviation.
Derive the upper and lower bands from the basis and standard deviation.
Linear Regression Channel Calculation:
Compute the slope, average, and intercept of the linear regression line.
Calculate deviations to plot upper and lower channel lines.
5-Minute Scalping Strategy:
Calculate RSI, MACD, and SMA for short-term trend analysis.
Define buy and sell conditions based on these indicators.
Plotting and Alerts:
Plot Bollinger Bands and Linear Regression Channels on the chart.
Plot buy and sell signals with shapes.
Set alerts for key conditions like exiting the regression channel bounds and trend switches.
Conclusion
By combining Bollinger Bands, Linear Regression Channels, and a 5-minute scalping strategy, this indicator offers a robust tool for traders. Bollinger Bands provide volatility insights, Linear Regression Channels highlight trend direction and potential reversals, and the scalping strategy offers precise entry and exit points. Together, these tools can enhance a trader's ability to make informed decisions in various market conditions.
[r380]Bear & Bull Pivot Signal Indicator_(Lite))Bear & Bull Pivot Signal Indicator
Overview:
The Bear & Bull Multi Pivot Signal Indicator is a comprehensive trading tool designed to identify potential market reversal points and trend changes. This indicator combines multiple technical analysis strategies such as RSI, MACD, and pivot points to generate reliable signals. By overlapping these signals, the indicator increases the possibility of accurate trend predictions, providing traders with valuable insights for informed decision-making.
"This indicator is primarily optimized for Bitcoin on a 15-minute timeframe and is recommended for short-term trading. Reliability on other timeframes is not guaranteed."
Key Features:
Bear and Bull Signals: Clearly indicate potential market reversal points using bear and bull emojis.
Support and Resistance Signals: Indicated with sun and snowflake emojis to show critical price levels.
Overheat Cooldown Pivot: Detects market exhaustion points to signal potential reversals.
Settings:
RSI Settings: Adjust the RSI period and thresholds to match your trading strategy. Default values are optimized for short-term trading.
MACD Settings: The MACD settings are pre-configured but can be customized if needed.
Visual Settings: If excessive signals cause visual discomfort, you can selectively enable or disable features in the visual settings.
Signal Descriptions:
🐻 Bear Signal: Indicates a potential high point where the market may reverse downwards. Combines RSI and MACD conditions to provide a reliable overbought signal. When accompanied by high volume, it can indicate a strong resistance level.
🐮 Bull Signal: Indicates a potential low point where the market may reverse upwards. Uses both RSI and MACD conditions to highlight oversold situations. When accompanied by high volume, it can indicate a strong support level.
❄️ Resistance Signal: Shows a resistance level where the price has difficulty moving higher. When the price crosses below this level, it signals a potential downward movement. Combined with high volume, it can signify robust resistance.
☀️ Support Signal: Shows a support level where the price has difficulty moving lower. When the price crosses above this level, it signals a potential upward movement. Combined with high volume, it can signify strong support.
Detailed Explanation:
This indicator is not simply a combination of multiple indicators but is designed to increase the probability of detecting potential trend reversal signals by using multiple signals. If signals only appear when multiple conditions are met, how many trades can we make in a year? Because there is no 100% certainty in any situation, we need to use various signals to construct our strategy and proceed with trading. For example, if only one signal appears, the reliability of the trend reversal signal is somewhat weak, so we can strategize by betting only a portion of the capital. If multiple signals appear simultaneously, we can consider it a highly reliable trend reversal signal and increase the betting amount and stop loss accordingly. The essence of this indicator, in my view, is not to blindly trade based on signals but to use it as an auxiliary tool for strategic decision-making.
RSI (Relative Strength Index), MACD, and Stochastic RSI: By using various indicators to confirm trend reversal signals, bear and bull emojis are included. If the RSI reaches an oversold zone and then drops by a certain amount, while the MACD turns negative and the Stochastic RSI makes a gold or dead cross, the bear and bull signals are activated.
Pivot Points: Calculated based on the high, low, and close prices over a specific lookback period. These points are used to determine support and resistance levels. Pivot points provide a framework for assessing market sentiment and potential reversal zones. The values calculated this way activate the sun and snowflake signals.
The Overheat Cooldown Pivot: captures moments when the market shows signs of exhaustion, particularly when overbought or oversold conditions are accompanied by a drop in volume. This helps traders anticipate market turning points more effectively. These signals appear as red or green triangles indicating potential reversals. Although similar to the bear and bull signals in detecting market cool-off points, these signals rely on volume and may have slightly lower reliability.
Practical Application:
By using this indicator, traders can strategically adjust their bet sizes based on the reliability of the signals. When multiple signals coincide, it indicates a higher probability of a trend reversal, allowing for larger position sizes. Conversely, when signals occur independently, it suggests a lower probability, warranting smaller position sizes. This approach enables traders to manage their risk effectively and capitalize on high-probability trading opportunities without excessively reducing trading frequency.
Trading Method:
The basic setup is for Bitcoin on a 15-minute timeframe, and short-term trading is recommended by the creator. Upon signal activation, if only one signal appears, verify the volume and support/resistance lines, calculate the risk-reward ratio, and enter a position with a low betting ratio. If three signals activate simultaneously, enter a position with a higher betting ratio.
Reliability Order:
🐻🐮 > ❄️☀️ > 🔻🔺 (replacing green triangle emojis)
This indicator provides a powerful method for detecting multiple potential market reversals and trend continuations.
Note: Have realistic expectations and understand the limitations of technical analysis tools. This indicator is a tool to assist in your trading decisions and not a guaranteed prediction of market movements.
Warning! Do not trade solely based on this indicator.
Additionally, if you find the settings lacking, feel free to adjust them yourself! Thank you!
Korean Version
곰돌이와 송아지 멀티 피봇 시그널 인디케이터
개요:
곰돌이와 송아지 멀티 피봇 시그널 인디케이터는 잠재적 시장 반전 지점과 추세 변화를 식별하기 위해 설계된 종합 거래 도구입니다. 이 인디케이터는 RSI, MACD, 피봇 포인트 등의 여러 기술 분석 전략을 결합하여 신뢰할 수 있는 신호를 생성합니다. 이러한 신호들을 중첩함으로써 정확한 추세 예측의 가능성을 높여, 트레이더가 정보를 기반으로 결정을 내리는 데 유용한 통찰력을 제공합니다.
기본적으로 비트코인 15분봉을 기준으로 하며 매매 방법은 단타를 권장합니다. 다른 타임프레임에서의 신뢰는 보장 하지 않습니다.
주요 기능:
곰돌이와 송아지 신호: 시장의 잠재적 반전 지점을 곰돌이와 송아지 이모지로 명확하게 표시합니다.
지지 및 저항 신호: 중요한 가격 수준을 나타내기 위해 태양과 눈송이 이모지로 표시합니다.
오버히트 쿨다운 피봇: 시장 피로 지점을 감지하여 잠재적 반전 신호를 제공합니다.
세팅방법:
RSI 설정: RSI 기간과 임계값을 조정하여 자신의 거래 전략에 맞춥니다. 기본값은 단기 거래에 최적화되어 있습니다.
MACD 설정: MACD 설정은 미리 구성되어 있으며, 필요에 따라 사용자 정의가 가능합니다.
비쥬얼 세팅: 과도한 시그널 때문에 눈이 아프시다면 비쥬얼세팅에서 선택적으로 기능들을 켜거나 끌 수 있으니 참고하세요.
신호 설명:
🐻 곰돌이 신호: 시장이 하락할 가능성이 있는 고점을 나타냅니다. RSI와 MACD 조건을 결합하여 신뢰할 수 있는 과매수 신호를 제공합니다. 높은 거래량과 함께 나타나면 강한 저항 수준을 나타낼 수 있습니다.
🐮 송아지 신호: 시장이 상승할 가능성이 있는 저점을 나타냅니다. RSI와 MACD 조건을 사용하여 과매도 상황을 강조합니다. 높은 거래량과 함께 나타나면 강한 지지 수준을 나타낼 수 있습니다.
❄️ 저항 신호: 가격이 더 이상 상승하기 어려운 저항 수준을 나타냅니다. 가격이 이 수준 아래로 하락하면 잠재적 하락 움직임을 신호합니다. 높은 거래량과 함께 나타나면 강력한 저항을 의미할 수 있습니다.
☀️ 지지 신호: 가격이 더 이상 하락하기 어려운 지지 수준을 나타냅니다. 가격이 이 수준 위로 상승하면 잠재적 상승 움직임을 신호합니다. 높은 거래량과 함께 나타나면 강한 지지를 의미할 수 있습니다.
상세 설명:
이 인디케이터는 여러 인디케이터를 단순히 결합한 것이 아니라, 여러가지 시그널들을 사용해서 잠재적 추세전환 신호 감지 확률을 높이는 것에 목적이 있습니다. 단순히 여러가지 조건들이 중첩되었을때만 신호가 뜬다면 우리는 1년에 몇번이나 매매를 할 수 있을까요. 모든경우에 100% 라는 경우가 없기때문에 우리는 다양한 신호들을 활용하여 전략을 구성하고 매매를 진행 해야합니다. 예를들어 1개의 시그널만 뜬다면 추세전환 신호의 신뢰도가 다소 약하기 때문에 시드의 일부 금액만 배팅 하는 식으로 전략을 구성 할 수도 있고, 만약 여러가지 시그널들이 충접적으로 뜬다면 신뢰도 높은 추세전환의 신호로 인식하여 배팅금액을 높이고 스탑로스를 높게 잡는 방향으로 전략을 구성 할 수 있습니다. 단순히 맹목적으로 시그널이 떳다고 매매하는것이 아닌 보조 신호로써의 기능, 이것이 내가 생각하는 인디케이터의 역할이자 본질 이라고 생각합니다.
RSI (상대 강도 지수)와 MACD, 스토캐스틱 RSI: 여러가지 지표들을 기반으로 추세 반전의 신호를 확인 할 수 있는 곰돌이와 송아지를 넣었습니다. RSI 가 과매도 구간에 도달한 이후일정 수치 이상 하락하는 동시에 MACD가 음수로 변하고 스토캐스틱 RSI가 골드, 데드 크로스가 된다면 곰돌이와 송아지 신호가 활성화 됩니다.
피봇 포인트: 특정 되돌아보기 기간 동안의 최고, 최저, 종가를 기반으로 계산됩니다. 이 포인트는 지지 및 저항 수준을 결정하는 데 사용됩니다. 피봇 포인트는 시장 심리와 잠재적 반전 영역을 평가하는 프레임워크를 제공합니다. 이렇게 계산된 값을 기반으로 눈송이와 해 신호가 활성화 됩니다.
오버히트 쿨다운 피봇: 는 과매수 또는 과매도 상태에서 거래량이 감소할 때 시장 피로 지점을 포착하여 잠재적 반전 지점을 신호합니다. 이러한 피로 지점을 식별함으로써 인디케이터는 트레이더가 시장의 전환점을 보다 효과적으로 예측할 수 있도록 돕습니다. 그렇게 추세 반전의 신호로 녹색 또는 붉은색 삼각형 시그널이 뜹니다. 과열된 시장이 냉각되는 포인트를 찾는점에서는 곰돌이 송아지 신호와 비슷하지만 거래량을 기반으로 하고 있기 때문에 명백히 다른 시그널이며 신뢰도는 약간 낮을 수도 있습니다
실용적 적용:
이 인디케이터를 사용함으로써, 트레이더는 신호의 신뢰도에 따라 베팅 크기를 전략적으로 조정할 수 있습니다. 여러 신호가 동시에 나타날 때, 이는 추세 반전의 가능성이 높음을 나타내며, 더 큰 포지션 크기를 허용합니다. 반대로, 신호가 독립적으로 발생할 때는 낮은 가능성을 나타내므로 작은 포지션 크기가 적합합니다. 이 접근 방식은 트레이더가 효과적으로 리스크를 관리하고 높은 확률의 거래 기회를 활용하면서 거래 빈도를 과도하게 줄이는 것을 방지할 수 있게 합니다.
매매방법:
기본적인 세팅은 비트코인 15분 타임프레임이며 제작자는 단타를 추천합니다. 포지션 진입시 시그널이 1개가 뜬다면 거래량과 지지와 저항라인을 확인하고 손익비를 계산후 낮은 배팅 비율로 포지션에 진입합니다. 만약에 3개의 시그널이 동시에 활성화 된다면 보다 높은 비율로 포지션에 진입합니다.
신뢰도 순서:
]🐻🐮 > ❄️☀️ > 🔻🔺(초록 삼각이모지가 없기때문에 이것으로 대체)
이 지표는 여러 잠재적인 시장 반전 및 추세 지속성을 감지하는 강력한 방법을 제공합니다.
참고: 현실적인 기대를 가지고 기술 분석 도구의 한계를 이해하십시오. 이 지표는 시장 움직임을 보장하는 예측이 아니라 거래 결정을 돕기 위한 도구입니다.
경고! 절대 이 지표만을 가지고 매매하지 마십쇼.
추가적으로 제작자는 지표 세팅에 허접이라 꼬우면 당신이 세팅하십쇼! 감사합니다!
D9 IndicatorD9 Indicator
Category
Technical Indicators
Overview
The D9 Indicator is designed to identify potential trend reversals by counting the number of consecutive closes that are higher or lower than the close four bars earlier. This indicator highlights key moments in the price action where a trend might be exhausting and potentially reversing, providing valuable insights for traders.
Features
Up Signal: Plots a downward triangle or a cross above the bar when the count of consecutive closes higher than the close four bars earlier reaches 7, 8, or 9.
Down Signal: Plots an upward triangle or a checkmark below the bar when the count of consecutive closes lower than the close four bars earlier reaches 7, 8, or 9.
Visual Signals
Red Downward Triangle (7): Indicates the seventh consecutive bar with a higher close.
Red Downward Triangle (8): Indicates the eighth consecutive bar with a higher close.
Red Cross (❌): Indicates the ninth consecutive bar with a higher close, suggesting a potential bearish reversal.
Green Upward Triangle (7): Indicates the seventh consecutive bar with a lower close.
Green Upward Triangle (8): Indicates the eighth consecutive bar with a lower close.
Green Checkmark (✅): Indicates the ninth consecutive bar with a lower close, suggesting a potential bullish reversal.
Usage
The D9 Indicator is useful for traders looking for visual cues to identify potential trend exhaustion and reversals. It can be applied to any market and timeframe, providing flexibility in various trading strategies.
How to Read
When a red cross (❌) appears above a bar, it may signal an overextended uptrend and a potential bearish reversal.
When a green checkmark (✅) appears below a bar, it may signal an overextended downtrend and a potential bullish reversal.
Example
When the price has consecutively closed higher than four bars ago for nine bars, a red cross (❌) will appear above the ninth bar. This suggests that the uptrend might be exhausting, and traders could look for potential short opportunities. Conversely, when the price has consecutively closed lower than four bars ago for nine bars, a green checkmark (✅) will appear below the ninth bar, indicating a potential buying opportunity.
Candle Color RatioThe Candle Color Ratio indicator is designed to analyze the ratio of green (bullish) to red (bearish) candles over a specified lookback period. This ratio can offer insights into the prevailing market sentiment and potential trend reversals. The indicator calculates the number of green and red candles and provides two key metrics: the Green to Red Ratio and the Red to Green Ratio. Additionally, it allows users to set a threshold for these ratios to identify extreme sentiment conditions.
Calculations :
- Green Score and Red Score: The script first checks the color of the candles over a user-defined lookback period (up to 10 bars back). For each bar, it assesses whether the closing price is higher (green) or lower (red) than the opening price. The green and red scores are calculated by counting the number of green and red candles, respectively, within the lookback period.
- Green to Red Ratio: This metric is the ratio of the Green Score to the Red Score. It quantifies the relative prevalence of bullish candles compared to bearish candles within the specified lookback period. A higher Green to Red ratio indicates a stronger bullish sentiment.
- Red to Green Ratio: This metric is the inverse of the Green to Red Ratio. It calculates the relative prevalence of bearish candles compared to bullish candles within the lookback period. A higher Red to Green ratio indicates a stronger bearish sentiment.
Interpretation :
- Green Score and Red Score: These histograms display the raw counts of green and red candles within the lookback period. Traders can use these histograms to observe the recent distribution of bullish and bearish candles.
- Green to Red Ratio: This line graph represents the ratio of bullish candles to bearish candles. When this ratio is above 1, it indicates a predominantly bullish sentiment, suggesting potential upward momentum. Conversely, when it's below 1, it signifies a bearish sentiment, suggesting potential downward pressure.
- Red to Green Ratio: This line graph represents the inverse ratio, indicating the strength of bearish sentiment relative to bullish sentiment. Similar to Green to Red, values above 1 indicate a bearish bias, while values below 1 indicate a bullish bias.
- Ratio Threshold: The white horizontal line on the chart represents the user-defined threshold. Traders can set this threshold to identify extreme sentiment conditions. When either the Green to Red ratio or Red to Green ratio crosses the threshold, it may signal overbought (above threshold) or oversold (below threshold) market conditions.
Potential Applications:
- Trend Confirmation: Traders can use this indicator to confirm the prevailing trend. A strong GRratioScore may validate a bullish trend, while a strong RGratioScore may confirm a bearish trend.
Contrarian Signals: Extreme readings (crossing the threshold) can be interpreted as potential reversal points. For example, a very high GRratioScore followed by a crossover below the threshold might indicate an overbought market and a potential bearish reversal.
Divergence Analysis: Traders can analyze divergences between price movements and the indicator. If price makes higher highs while the indicator shows lower highs, it may signal a weakening bullish trend.
Limitations:
- Lookback Period: The indicator's effectiveness may vary depending on the selected lookback period. Longer periods smooth out fluctuations but may lag in capturing recent changes in sentiment.
- Threshold Sensitivity: The interpretation of extreme readings can be subjective. Traders should carefully select and adjust the threshold based on their trading strategy and market conditions.
- Lack of Context: This indicator solely focuses on candle color ratios and does not consider other factors like volume, market news, or fundamental analysis. It should be used in conjunction with other indicators and analysis techniques.
This indicator provides a simple yet valuable tool for assessing market sentiment and potential trend reversals based on candle color ratios. Traders can use this information to make informed trading decisions, but it's essential to consider its limitations and use it as part of a comprehensive trading strategy.
Tops & Bottoms by Volume [SS]Hey everyone,
Releasing this indicator that helps you time entries by alerting to potential tops and bottoms in the market.
Background to the indicator:
I was playing around with things that signalled reversals / tops and bottoms in SPSS and R using Pivot Points to mark tops and bottoms. Happened to come across a generally statistically significant relationship between sell to buy volume that was tracked over 10 to 50 candles back and pivot highs and pivot lows.
So I put it into a beta version of an indicator to see how it looked and was a bit surprised.
Since then, I have went back and narrowed down the details of what works/what doesn't work and this is the tentative result!
What it does / How to Use:
It tracks the cumulative buy vs sell volume. Buy volume is cumulated as close > open (or green candles) and sell is open > close (or red candles).
It then cumulates this over a user-defined period (defaulted to 14). It then looks back to see the highest vs lowest areas of sell and buy volume and makes determinations based on this relationship.
The relationship was determined by me using my own analysis and programmed into the indicators algorithm (using highest vs lowest function in pine).
It will plot areas of potential reversal to the upside as green on the histogram or red for a downside reversal. Once this becomes significant enough to signal an actual bottom or top, it will then change the SMA colour from white to green (for bottom) or red (for top).
Your entries generally should be once the SMA turns back to white. So from green to white, you would enter long or inverse for red to white (enter short).
Settings and Customizability:
Here are the key points to keep in mind if you are using this indicator:
Your lookback length should be between 10 to 50. I have left it open for you to modify it below and above this lookback period; however, this is the major periods deemed to be significant in identifying tops and bottoms. Thus, I advise against operating outside of those parameters.
You can toggle between smoothed look or historgram with SMA. The strength in this indicator comes from using the SMA and watching the SMA for signals of reversals, so if you want to filter out the background noise, you can simply look at the plotted SMA. If you want a more responsive indication of impending reversals, leave the smoothed option off and view the histogram in conjunction with the SMA.
The indicator will change the candle colour to red for bearish reversal and green to bullish reversal. This is based on the SMA. You can toggle this off and/or on as desired.
It is recommended to leave ETH (extended trading hours) turned off and RTH turned on.
Please read the instructions carefully.
If you require further assistance, I have posted a tutorial video.
Please be sure you are reading and/or watching carefully.
If you have questions, please feel free to post them below. But bear in mind I likely will not respond if it is already addressed in the description above (this happens often).
Also, feel free to leave your comments or suggestions below as well.
Thanks for checking this out. If you are interested in volume based trading, I suggest also checking out my Buyer to Seller volume indicator which cumulates total buying vs selling volume over a designated lookback period. Both of these used in conjunction are very powerful tools for volume based traders! ( Available here )
NOTE:
The boxes drawn in the chart are my own for demonstration purposes. I unfortunately cannot get the indicator to overlay the boxes on the chart in a separate viewing pane. That is why I opted to use the barcolor function to change the candle color instead :-).
Thanks again everyone and safe trades!
Point and Figure Chart - LiveHello Traders,
This is "Point and Figure Chart (PnF)" script that run in separated window in real time. The separated PnF chart window is timeless, so no relation with the time on the chart. PnF chart consist of "X" and "O" columns. While "X" columns represents rising prices, "O" column represents a falling price. If you have no idea about what PnF charting is then you should search for "Point and Figure Charting" on the net and get some info before using this script.
Now lets talk about details. PnF Chart requires at least two variables to be set => Box size and Reversal. Box size represents the size of each X/O in PnF chart and the reversal is used to calculate new X/O or reversal. for example if currrent column is X column then for new "X", "box size * 1" move is needed and for new "O" column or reversal, "box size * revelsal" move is needed. in the script I use lines as X/O columns.
In the options you can set "Box Size Assingment Method". you have 3 options Traditional, ATR, Percentage . what are they?
Traditional: user-defined box size, means you can set the box size as you wish, using the option . if you use this option then you should set it accordingly.
ATR : that's dynamic box size scaling and on each columns it's calculated once, you can set length for ATR
Percentage: that's also dynamic box size scaling according to closing price when new column appeared. if you use this option then you should set it accordingly.
Reversal: The reversal is typically 3 but you can change it as you wish
"Change Bar Color by PnF Trend": if you enable this option then bar color changes by PnF columns, by default it's not enabled
"Change Column Color When Breakout Occurs": PnF color changes if Double Top/Bottom breakout accours. enabled by default and you can set the colors as you wish using the options
"Change Bar Color When Breakout Occurs": bar colors changed if Double Top/Bottom breakout accours. enabled by default and you can set the colors as you wish using the options
the script checks only Double Top/Bottom breakouts at the moment. there are many other breakouts such Triple/Quadruple, Ascending/Descending Triple Top/Bottom breakouts, Catapult etc.
Also the script shows new X/O level and reversal Levels in PnF window. An example:
If you enable "Change Bar Color by PnF Trend" option:
An example if you disable the option "Change Column Color When Breakout Occurs
You may want to see my another/older "Point and Point Chart" script as well. you can find it in my profile/published scripts and in the Public Library. I use same PnF calculation algorithm in both scripts.
Enjoy!
Bilateral Filter For Loop [BackQuant]Bilateral Filter For Loop
The Bilateral Filter For Loop is an advanced technical indicator designed to filter out market noise and smooth out price data, thus improving the identification of underlying market trends. It employs a bilateral filter, which is a sophisticated non-linear filter commonly used in image processing and price time series analysis. By considering both spatial and range differences between price points, this filter is highly effective at preserving significant trends while reducing random fluctuations, ultimately making it suitable for dynamic trend-following strategies.
Please take the time to read the following:
Key Features
1. Bilateral Filter Calculation:
The bilateral filter is the core of this indicator and works by applying a weight to each data point based on two factors: spatial distance and price range difference. This dual weighting process allows the filter to preserve important price movements while reducing the impact of less relevant fluctuations. The filter uses two primary parameters:
Spatial Sigma (σ_d): This parameter adjusts the weight applied based on the distance of each price point from the current price. A larger spatial sigma means more smoothing, as further away values will contribute more heavily to the result.
Range Sigma (σ_r): This parameter controls how much weight is applied based on the difference in price values. Larger price differences result in smaller weights, while similar price values result in larger weights, thereby preserving the trend while filtering out noise.
The output of this filter is a smoothed version of the original price series, which eliminates short-term fluctuations, helping traders focus on longer-term trends. The bilateral filter is applied over a rolling window, adjusting the level of smoothing dynamically based on both the distance between values and their relative price movements.
2. For Loop Calculation for Trend Scoring:
A for-loop is used to calculate the trend score based on the filtered price data. The loop compares the current value to previous values within the specified window, scoring the trend as follows:
+1 for upward movement (when the filtered value is greater than the previous value).
-1 for downward movement (when the filtered value is less than the previous value).
The cumulative result of this loop gives a continuous trend score, which serves as a directional indicator for the market's momentum. By summing the scores over the window period, the loop provides an aggregate value that reflects the overall trend strength. This score helps determine whether the market is experiencing a strong uptrend, downtrend, or sideways movement.
3. Long and Short Conditions:
Once the trend score has been calculated, it is compared against predefined threshold levels:
A long signal is generated when the trend score exceeds the upper threshold, indicating that the market is in a strong uptrend.
A short signal is generated when the trend score crosses below the lower threshold, signaling a potential downtrend or trend reversal.
These conditions provide clear signals for potential entry points, and the color-coding helps traders quickly identify market direction:
Long signals are displayed in green.
Short signals are displayed in red.
These signals are designed to provide high-confidence entries for trend-following strategies, helping traders capture profitable movements in the market.
4. Trend Background and Bar Coloring:
The script offers customizable visual settings to enhance the clarity of the trend signals. Traders can choose to:
Color the bars based on the trend direction: Bars are colored green for long signals and red for short signals.
Change the background color to provide additional context: The background will be shaded green for a bullish trend and red for a bearish trend. This visual feedback helps traders to stay aligned with the prevailing market sentiment.
These features offer a quick visual reference for understanding the market's direction, making it easier for traders to identify when to enter or exit positions.
5. Threshold Lines for Visual Feedback:
Threshold lines are plotted on the chart to represent the predefined long and short levels. These lines act as clear markers for when the market reaches a critical threshold, triggering a potential buy (long) or sell (short) signal. By showing these threshold lines on the chart, traders can quickly gauge the strength of the market and assess whether the trend is strong enough to warrant action.
These thresholds can be adjusted based on the trader's preferences, allowing them to fine-tune the indicator for different market conditions or asset behaviors.
6. Customizable Parameters for Flexibility:
The indicator offers several parameters that can be adjusted to suit individual trading preferences:
Window Period (Bilateral Filter): The window size determines how many past price values are used to calculate the bilateral filter. A larger window increases smoothing, while a smaller window results in more responsive, but noisier, data.
Spatial Sigma (σ_d) and Range Sigma (σ_r): These values control how sensitive the filter is to price changes and the distance between data points. Fine-tuning these parameters allows traders to adjust the degree of noise reduction applied to the price series.
Threshold Levels: The upper and lower thresholds determine when the trend score crosses into long or short territory. These levels can be customized to better match the trader's risk tolerance or asset characteristics.
Visual Settings: Traders can customize the appearance of the chart, including the line width of trend signals, bar colors, and background shading, to make the indicator more readable and aligned with their charting style.
7. Alerts for Trend Reversals:
The indicator includes alert conditions for real-time notifications when the market crosses the defined thresholds. Traders can set alerts to be notified when:
The trend score crosses the long threshold, signaling an uptrend.
The trend score crosses the short threshold, signaling a downtrend.
These alerts provide timely information, allowing traders to take immediate action when the market shows a significant change in direction.
Final Thoughts
The Bilateral Filter For Loop indicator is a robust tool for trend-following traders who wish to reduce market noise and focus on the underlying trend. By applying the bilateral filter and calculating trend scores, this indicator helps traders identify strong uptrends and downtrends, providing reliable entry signals with minimal market noise. The customizable parameters, visual feedback, and alerting system make it a versatile tool for traders seeking to improve their timing and capture profitable market movements.
Thus following all of the key points here are some sample backtests on the 1D Chart
Disclaimer: Backtests are based off past results, and are not indicative of the future.
INDEX:BTCUSD
INDEX:ETHUSD
CRYPTO:SOLUSD
Vacuum Candles [XrayAlgo]The Vacuum Candles indicator helps traders identify inefficient price movements—where the price moves significantly but lacks sufficient volume to support it. These inefficiencies may signal weak trends, potential reversals, or false breakouts/breakdowns.
Inefficient candles are visually marked with a darker / black body to indicate when the price movement is disproportionate to the volume.
1. Spotting Potential Reversals
When the indicator marks an inefficient candle, it signals that the price movement may be unsustainable.
In an uptrend: A inefficient bullish candle suggests that the uptrend is losing momentum, potentially leading to a downward reversal.
In a downtrend: A inefficient bearish candle signals that the downtrend may be weakening, with a potential bullish reversal.
2. Identifying Breakout and Breakdown Failures
This indicator is useful for recognizing false breakouts or false breakdowns.
If price breaks resistance but the candle is inefficient, the breakout may be weak and could fail quickly.
If price breaks support with an inefficient bearish candle, the breakdown could be a false signal, with price reverting back above support.
3. Recognizing Weak Trends
Inefficient candles help you spot when a trend is losing strength and could soon reverse or consolidate.
In an uptrend: A series of dark body bullish candles suggests that the uptrend may be weakening, signaling a potential correction or trend reversal.
In a downtrend: A series of dark body bearish candles suggests that the selling pressure is weakening, indicating a potential bullish reversal.
4. Fine-Tuning Entries and Exits
Inefficient candles offer an opportunity to fine-tune your entries and exits based on weak price moves.
Entering a trade: An inefficient candle near key support or resistance can indicate a reversal, making it a good entry point for a counter-trend position.
Exiting a trade: If you're already in a trend, and an inefficient candle appears, it suggests the trend is losing strength, indicating it may be a good time to exit before a potential reversal.
5. Fine-Tuning with Inputs
The Vacuum Candles indicator includes two key inputs:
Length: The number of candles used to calculate the average price movement and volume. A longer length (e.g., 20-30) smooths out the inefficiencies, while a shorter length (e.g., 10-15) makes the indicator more sensitive to recent price moves.
Multiplier: Controls the threshold for what is considered an inefficient candle:
A higher Multiplier (e.g., 1.5–3) filters out smaller inefficiencies and focuses on large discrepancies.
A lower Multiplier (e.g., 0.1–0.9) captures even smaller inefficiencies in highly efficient markets.
Green*DiamondGreen*Diamond (GD1)
Unleash Dynamic Trading Signals with Volatility and Momentum
Overview
GreenDiamond is a versatile overlay indicator designed for traders seeking actionable buy and sell signals across various markets and timeframes. Combining Volatility Bands (VB) bands, Consolidation Detection, MACD, RSI, and a unique Ribbon Wave, it highlights high-probability setups while filtering out noise. With customizable signals like Green-Yellow Buy, Pullback Sell, and Inverse Pullback Buy, plus vibrant candle and volume visuals, GreenDiamond adapts to your trading style—whether you’re scalping, day trading, or swing trading.
Key Features
Volatility Bands (VB): Plots dynamic upper and lower bands to identify breakouts or reversals, with toggleable buy/sell signals outside consolidation zones.
Consolidation Detection: Marks low-range periods to avoid choppy markets, ensuring signals fire during trending conditions.
MACD Signals: Offers flexible buy/sell conditions (e.g., cross above signal, above zero, histogram up) with RSI divergence integration for precision.
RSI Filter: Enhances signals with customizable levels (midline, oversold/overbought) and bullish divergence detection.
Ribbon Wave: Visualizes trend strength using three EMAs, colored by MACD and RSI for intuitive momentum cues.
Custom Signals: Includes Green-Yellow Buy, Pullback Sell, and Inverse Pullback Buy, with limits on consecutive signals to prevent overtrading.
Candle & Volume Styling: Blends MACD/RSI colors on candles and scales volume bars to highlight momentum spikes.
Alerts: Set up alerts for VB signals, MACD crosses, Green*Diamond signals, and custom conditions to stay on top of opportunities.
How It Works
Green*Diamond integrates multiple indicators to generate signals:
Volatility Bands: Calculates bands using a pivot SMA and standard deviation. Buy signals trigger on crossovers above the lower band, sell signals on crossunders below the upper band (if enabled).
Consolidation Filter: Suppresses signals when candle ranges are below a threshold, keeping you out of flat markets.
MACD & RSI: Combines MACD conditions (e.g., cross above signal) with RSI filters (e.g., above midline) and optional volume spikes for robust signals.
Custom Logic: Green-Yellow Buy uses MACD bullishness, Pullback Sell targets retracements, and Inverse Pullback Buy catches reversals after downmoves—all filtered to avoid consolidation.
Visuals: Ribbon Wave shows trend direction, candles blend momentum colors, and volume bars scale dynamically to confirm signals.
Settings
Volatility Bands Settings:
VB Lookback Period (20): Adjust to 10–15 for faster markets (e.g., 1-minute scalping) or 25–30 for daily charts.
Upper/Lower Band Multiplier (1.0): Increase to 1.5–2.0 for wider bands in volatile stocks like AEHL; decrease to 0.5 for calmer markets.
Show Volatility Bands: Toggle off to reduce chart clutter.
Use VB Signals: Enable for breakout-focused trades; disable to focus on Green*Diamond signals.
Consolidation Settings:
Consolidation Lookback (14): Set to 5–10 for small caps (e.g., AEHL) to catch quick consolidations; 20 for higher timeframes.
Range Threshold (0.5): Lower to 0.3 for stricter filtering in choppy markets; raise to 0.7 for looser signals.
MACD Settings:
Fast/Slow Length (12/26): Shorten to 8/21 for scalping; extend to 15/34 for swing trading.
Signal Smoothing (9): Reduce to 5 for faster signals; increase to 12 for smoother trends.
Buy/Sell Signal Options: Choose “Cross Above Signal” for classic MACD; “Histogram Up” for momentum plays.
Use RSI Div + MACD Cross: Enable for high-probability reversal signals.
RSI Settings:
RSI Period (14): Drop to 10 for 1-minute charts; raise to 20 for daily.
Filter Level (50): Set to 55 for stricter buys; 45 for sells.
Overbought/Oversold (70/30): Tighten to 65/35 for small caps; widen to 75/25 for indices.
RSI Buy/Sell Options: Select “Bullish Divergence” for reversals; “Cross Above Oversold” for momentum.
Color Settings:
Adjust bullish/bearish colors for visibility (e.g., brighter green/red for dark themes).
Border Thickness (1): Increase to 2–3 for clearer candle outlines.
Volume Settings:
Volume Average Length (20): Shorten to 10 for scalping; extend to 30 for swing trades.
Volume Multiplier (2.0): Raise to 3.0 for AEHL’s volume surges; lower to 1.5 for steady stocks.
Bar Height (10%): Increase to 15% for prominent bars; decrease to 5% to reduce clutter.
Ribbon Settings:
EMA Periods (10/20/30): Tighten to 5/10/15 for scalping; widen to 20/40/60 for trends.
Color by MACD/RSI: Disable for simpler visuals; enable for dynamic momentum cues.
Gradient Fill: Toggle on for trend clarity; off for minimalism.
Custom Signals:
Enable Green-Yellow Buy: Use for momentum confirmation; limit to 1–2 signals to avoid spam.
Pullback/Inverse Pullback % (50): Set to 30–40% for small caps; 60–70% for indices.
Max Buy Signals (1): Increase to 2–3 for active markets; keep at 1 for discipline.
Tips and Tricks
Scalping Small Caps (e.g., AEHL):
Use 1-minute charts with VB Lookback = 10, Consolidation Lookback = 5, and Volume Multiplier = 3.0 to catch $0.10–$0.20 moves.
Enable Green-Yellow Buy and Inverse Pullback Buy for quick entries; disable VB Signals to focus on Green*Diamond logic.
Pair with SMC+ green boxes (if you use them) for reversal confirmation.
Day Trading:
Try 5-minute charts with MACD Fast/Slow = 8/21 and RSI Period = 10.
Enable RSI Divergence + MACD Cross for high-probability setups; set Max Buy Signals = 2.
Watch for volume bars turning yellow to confirm entries.
Swing Trading:
Use daily charts with VB Lookback = 30, Ribbon EMAs = 20/40/60.
Enable Pullback Sell (60%) to exit after rallies; disable RSI Color for cleaner candles.
Check Ribbon Wave gradient for trend strength—bright green signals strong bulls.
Avoiding Noise:
Increase Consolidation Threshold to 0.7 on volatile days to skip false breakouts.
Disable Ribbon Wave or Volume Bars if the chart feels crowded.
Limit Max Buy Signals to 1 for disciplined trading.
Alert Setup:
In TradingView’s Alerts panel, select:
“GD Buy Signal” for standard entries.
“RSI Div + MACD Cross Buy” for reversals.
“VB Buy Signal” for breakout plays.
Set to “Once Per Bar Close” for confirmed signals; “Once Per Bar” for scalping.
Backtesting:
Replay on small caps ( Float < 5M, Price $0.50–$5) to test signals.
Focus on “GD Buy Signal” with yellow volume bars and green Ribbon Wave.
Avoid signals during gray consolidation squares unless paired with RSI Divergence.
Usage Notes
Markets: Works on stocks, forex, crypto, and indices. Best for volatile assets (e.g., small-cap stocks, BTCUSD).
Timeframes: Scalping (1–5 minutes), day trading (15–60 minutes), or swing trading (daily). Adjust settings per timeframe.
Risk Management: Combine with stop-losses (e.g., 1% risk, $0.05 below AEHL entry) and take-profits (3–5%).
Customization: Tweak inputs to match your strategy—experiment in replay to find your sweet spot.
Disclaimer
Green*Diamond is a technical tool to assist with trade identification, not a guarantee of profits. Trading involves risks, and past performance doesn’t predict future results. Always conduct your own analysis, manage risk, and test settings before live trading.
Feedback
Love Green*Diamond? Found a killer setup?
Volume Order Blocks [BigBeluga]Volume Order Blocks is a powerful indicator that identifies significant order blocks based on price structure, helping traders spot key supply and demand zones. The tool leverages EMA crossovers to determine the formation of bullish and bearish order blocks while visualizing their associated volume and relative strength.
🔵 Key Features:
Order Block Detection via EMA Crossovers:
Plots bullish order blocks at recent lows when the short EMA crosses above the long EMA.
Plots bearish order blocks at recent highs when the short EMA crosses below the long EMA.
Uses customizable sensitivity through the “Sensitivity Detection” setting to fine-tune block formation.
Volume Collection and Visualization:
Calculates the total volume between the EMA crossover bar and the corresponding high (bearish OB) or low (bullish OB).
Displays the absolute volume amount next to each order block for clear volume insights.
Percentage Volume Distribution:
Shows the percentage distribution of volume among bullish or bearish order blocks.
100% represents the cumulative volume of all OBs in the same category (bullish or bearish).
Order Block Removal Conditions:
Bullish order blocks are removed when the price closes below the bottom of the block.
Bearish order blocks are removed when the price closes above the top of the block.
Helps maintain chart clarity by only displaying relevant and active levels.
Midline Feature:
Dashed midline inside each order block indicates the midpoint between the upper and lower boundaries.
Traders can toggle the midline on or off through the settings.
Shadow Trend:
Shadow Trend dynamically visualizes trend strength and direction by adapting its color intensity based on price movement.
🔵 Usage:
Supply & Demand Zones: Use bullish and bearish order blocks to identify key market reversal or continuation points.
Volume Strength Analysis: Compare volume percentages to gauge which order blocks hold stronger market significance.
Breakout Confirmation: Monitor block removal conditions for potential breakout signals beyond support or resistance zones.
Trend Reversals: Combine EMA crossovers with order block formation for early trend reversal detection.
Risk Management: Use OB boundaries as potential stop-loss or entry points.
Volume Order Blocks is an essential tool for traders seeking to incorporate volume-based supply and demand analysis into their trading strategy. By combining price action, volume data, and EMA crossovers, it offers a comprehensive view of market structure and potential turning points.
DTFX Algo Zones [SamuraiJack Mod]CME_MINI:NQ1!
Credits
This indicator is a modified version of an open-source tool originally developed by Lux Algo. I literally modded their indicator to create the DTFX Algo Zones version, incorporating additional features and refinements. Special thanks to Lux Algo for their original work and for providing the open-source code that made this development possible.
Introduction
DTFX Algo Zones is a technical analysis indicator designed to automatically identify key supply and demand zones on your chart using market structure and Fibonacci retracements. It helps traders spot high-probability reversal areas and important support/resistance levels at a glance. By detecting shifts in market structure (such as Break of Structure and Change of Character) and highlighting bullish or bearish zones dynamically, this tool provides an intuitive framework for planning trades. The goal is to save traders time and improve decision-making by focusing attention on the most critical price zones where market bias may confirm or reverse.
Logic & Features
• Market Structure Shift Detection (BOS & CHoCH): The indicator continuously monitors price swings and marks significant structure shifts. A Break of Structure (BOS) occurs when price breaks above a previous swing high or below a swing low, indicating a continuation of the current trend. A Change of Character (ChoCH) is detected when price breaks in the opposite direction of the prior trend, often signaling an early trend reversal. These moments are visually marked on the chart, serving as anchor points for new zones. By identifying BOS and ChoCH in real-time, the DTFX Algo Zones indicator ensures you’re aware of key trend changes as they happen.
• Auto-Drawn Fibonacci Supply/Demand Zones: Upon a valid structure shift, the indicator plots a Fibonacci-based zone between the breakout point and the preceding swing high/low (the source of the move). This creates a shaded area or band of Fibonacci retracement levels (for example 38.2%, 50%, 61.8%, etc.) representing a potential support zone in an uptrend or resistance zone in a downtrend. These supply/demand zones are derived from the natural retracement of the breakout move, highlighting where price is likely to pull back. Each zone is essentially an auto-generated Fibonacci retracement region tied to a market structure event, which traders can use to anticipate where the next pullback or bounce might occur.
• Dynamic Bullish and Bearish Zones: The DTFX Algo Zones indicator distinguishes bullish vs. bearish zones and updates them dynamically as new price action unfolds. Bullish zones (formed after bullish BOS/ChoCH) are typically highlighted in one color (e.g. green or blue) to indicate areas of demand/support where price may bounce upward. Bearish zones (formed after bearish BOS/ChoCH) are shown in another color (e.g. red/orange) to mark supply/resistance where price may stall or reverse downward. This color-coding and real-time updating allow traders to instantly recognize the market bias: for instance, a series of bullish zones implies an uptrend with multiple support levels on pullbacks, while consecutive bearish zones indicate a downtrend with resistance overhead. As old zones get invalidated or new ones appear, the chart remains current with the latest key levels, eliminating clutter from outdated levels.
• Flexible Customization: The indicator comes with several options to tailor the zones to your trading style. You can filter which zones to display – for example, show only the most recent N zones or limit to only bullish or only bearish zones – helping declutter the chart and focus on recent, relevant levels. There are settings to control zone extension (how far into the future the zones are drawn) and to automatically invalidate zones once they’re no longer relevant (for instance, if price fully breaks through a zone or a new structure shift occurs that supersedes it). Additionally, the Fibonacci retracement levels within each zone are customizable: you can choose which retracement percentages to plot, adjust their colors or line styles, and decide whether to fill the zone area for visibility. This flexibility ensures the DTFX Algo Zones can be tuned for different markets and strategies, whether you want a clean minimalist look or detailed zones with multiple internal levels.
Best Use Cases
DTFX Algo Zones is a versatile indicator that can enhance various trading strategies. Some of its best use cases include:
• Identifying High-Probability Reversal Zones: Each zone marks an area where price has a higher likelihood of stalling or reversing because it reflects a significant prior swing and Fibonacci retracement. Traders can watch these zones for entry opportunities when the market approaches them, as they often coincide with order block or strong supply/demand areas. This is especially useful for catching trend reversals or pullbacks at points where risk is lower and potential reward is higher.
• Spotting Key Support and Resistance: The automatically drawn zones act as dynamic support (below price) and resistance (above price) levels. Instead of manually drawing Fibonacci retracements or support/resistance lines, you get an instant map of the key levels derived from recent price action. This helps in quickly identifying where the next bounce (support) or rejection (resistance) might occur. Swing traders and intraday traders alike can use these zones to set alerts or anticipate reaction areas as the market moves.
• Trend-Following Entries: In a trending market, the indicator’s zones provide ideal areas to join the trend on pullbacks. For example, in an uptrend, when a new bullish zone is drawn after a BOS, it indicates a fresh demand zone – buying near the lower end of that zone on a pullback can offer a low-risk entry to ride the next leg up. Similarly, in a downtrend, selling rallies into the highlighted supply zones can position you in the direction of the prevailing trend. The zones effectively serve as a roadmap of the trend’s structure, allowing trend traders to buy dips and sell rallies with greater confidence.
• Mean-Reversion and Range Trading: Even in choppy or range-bound markets, DTFX Algo Zones can help find mean-reversion trades. If price is oscillating sideways, the zones at extremes of the range might mark where momentum is shifting (ChoCH) and price could swing back toward the mean. A trader might fade an extended move when it reaches a strong zone, anticipating a reversion. Additionally, if multiple zones cluster in an area across time (creating a zone overlap), it often signifies a particularly robust support/resistance level ideal for range trading strategies.
In all these use cases, the indicator’s ability to filter out noise and highlight structurally important levels means traders can focus on higher-probability setups and make more informed trading decisions.
Strategy – Pullback Trading with DTFX Algo Zones
One of the most effective ways to use the DTFX Algo Zones indicator is trading pullbacks in the direction of the trend. Below is a step-by-step strategy to capitalize on pullbacks using the zones, combining the indicator’s signals with sound price action analysis and risk management:
1. Identify a Market Structure Shift and Trend Bias: First, observe the chart for a recent BOS or ChoCH signal from the indicator. This will tell you the current trend bias. For instance, a bullish BOS/ChoCH means the market momentum has shifted upward (bullish bias), and a new demand zone will be drawn. A bearish structure break indicates downward momentum and creates a supply zone. Make sure the broader context supports the bias (e.g., if multiple higher timeframe zones are bullish, focus on long trades).
2. Wait for the Pullback into the Zone: Once a new zone appears, don’t chase the price immediately. Instead, wait for price to retrace back into that highlighted zone. Patience is key – let the market come to you. For a bullish setup, allow price to dip into the Fibonacci retracement zone (demand area); for a bearish setup, watch for a rally into the supply zone. Often, the middle of the zone (around the 50% retracement level) can be an optimal area where price might slow down and pivot, but it’s wise to observe price behavior across the entire zone.
3. Confirm the Entry with Price Action & Confluence: As price tests the zone, look for confirmation signals before entering the trade. This can include bullish reversal candlestick patterns (for longs) or bearish patterns (for shorts) such as engulfing candles, hammers/shooting stars, or doji indicating indecision turning to reversal. Additionally, incorporate confluence factors to strengthen the setup: for example, check if the zone overlaps with a key moving average, a round number price level, or an old support/resistance line from a higher timeframe. You might also use an oscillator (like RSI or Stochastic) to see if the pullback has reached oversold conditions in a bullish zone (or overbought in a bearish zone), suggesting a bounce is likely. The more factors aligning at the zone, the more confidence you can have in the trade. Only proceed with an entry once you see clear evidence of buyers defending a demand zone or sellers defending a supply zone.
4. Enter the Trade and Manage Risk: When you’re satisfied with the confirmation (e.g., price starts to react positively off a demand zone or shows rejection wicks in a supply zone), execute your entry in the direction of the original trend. Immediately set a stop-loss order to control risk: for a long trade, a common placement is just below the demand zone (a few ticks/pips under the swing low that formed the zone); for a short trade, place the stop just above the supply zone’s high. This way, if the zone fails and price continues beyond it, your loss is limited. Position size the trade so that this stop-loss distance corresponds to a risk you are comfortable with (for example, 1-2% of your trading capital).
5. Take Profit Strategically: Plan your take-profit targets in advance. A conservative approach is to target the origin of the move – for instance, in a long trade, you might take profit as price moves back up to the swing high (the 0% Fibonacci level of the zone) or the next significant zone or resistance level above. This often yields at least a 1:1 reward-to-risk ratio if you entered around mid-zone. More aggressive trend-following traders may leave a portion of the position running beyond the initial target, aiming for a larger move in line with the trend (for example, new higher highs in an uptrend). You can also trail your stop-loss upward behind new higher lows (for longs) or lower highs (for shorts) as the trend progresses, locking in profit while allowing for further gains.
6. Monitor Zone Invalidation: Even after entering, keep an eye on the behavior around the zone and any new zones that may form. If price fails to bounce and instead breaks decisively through the entire zone, respect that as an invalidation – the market may be signaling a deeper reversal or that the signal was false. In such a case, it’s better to exit early or stick to your stop-loss than to hold onto a losing position. The indicator will often mark or no longer highlight zones that have been invalidated by price, guiding you to shift focus to the next opportunity.
Risk Management Tips:
• Always use a stop-loss and don’t move it farther out in hope. Placing the stop just beyond the zone’s far end (the swing point) helps protect you if the pullback turns into a larger reversal.
• Aim for a favorable risk-to-reward ratio. With pullback entries near the middle or far end of a zone, you can often achieve a reward that equals or exceeds your risk. For example, risking 20 pips to make 20+ pips (1:1 or better) is a prudent starting point. Adjust targets based on market structure – if the next resistance is 50 pips away, consider that upside against your risk.
• Use confluence and context: Don’t take every zone signal in isolation. The highest probability trades come when the DTFX Algo Zone aligns with other analysis (trend direction, chart patterns, higher timeframe support/resistance, etc.). This filtered approach will reduce trades taken in weak zones or counter-trend traps.
• Embrace patience and selectivity: Not all zones are equal. It can be wise to skip very narrow or insignificant zones and wait for those that form after a strong BOS/ChoCH (indicating a powerful move). Larger zones or zones formed during high-volume times tend to produce more reliable pullback opportunities.
• Review and adapt: After each trade, note how price behaved around the zone. If you notice certain Fib levels (like 50% or 61.8%) within the zone consistently provide the best entries, you can refine your approach to focus on those. Similarly, adjust the indicator’s settings if needed – for example, if too many minor zones are cluttering your screen, limit to the last few or increase the structure length parameter to capture only more significant swings.
⸻
By combining the DTFX Algo Zones indicator with disciplined confirmation and risk management, traders can improve their timing on pullback entries and avoid chasing moves. This indicator shines in helping you trade what you see, not what you feel – the clearly marked zones and structure shifts keep you grounded in price action reality. Whether you’re a trend trader looking to buy the dip/sell the rally, or a reversal trader hunting for exhaustion points, DTFX Algo Zones provides a robust visual aid to elevate your trading decisions. Use it as a complementary tool in your analysis to stay on the right side of the market’s structure and enhance your trading performance.
Pure Price Action StrategyTest Price Action Strategy from Lux Pure Price Action Indicator
How This Strategy Works:
Recognizing Trends & Reversals:
Break of Structure (BOS): A bullish signal indicating a trend continuation.
Market Structure Shift (MSS): A bearish signal indicating a potential reversal.
Analyzing Market Momentum:
It uses recent highs and lows to confirm whether the price is making higher highs (bullish) or lower lows (bearish).
Customizing Visualization Styles:
Buy signals (BUY Signal) are plotted as green upward arrows.
Sell signals (SELL Signal) are plotted as red downward arrows.
Stop-Loss (SL) & Take-Profit (TP): Configurable via percentage input.
Candlestick Pattern Detector - Vijay PrasadOverview:
This Pine Script v6 indicator is designed to detect and label key candlestick patterns on TradingView charts. It provides real-time visual markers for major bullish and bearish reversal signals, aiding traders in decision-making.
Usefulness:
✅ Saves time by automating candlestick pattern detection.
✅ Reduces manual chart analysis errors.
✅ Works across all markets & timeframes.
✅ Enhances trading strategies with accurate signals.
Candlestick Patterns Recognises:
Bullish Engulfing – A strong bullish reversal pattern.
Bearish Engulfing – Indicates a potential downtrend.
Hammer – Suggests a market bottom or reversal.
Shooting Star – A bearish reversal signal at the top of an uptrend.
Doji – Signals market indecision and possible trend change.
Key Functions:
Automated Pattern Visible
Identifies candlestick patterns dynamically and plots them on the chart.
Visual Labels for Patterns
Labels to indicate specific candlestick formations.
Labels appear only when a valid pattern is detected, avoiding unnecessary clutter.
Buy/Sell Signal
Plots buy signals at bullish patterns and sell signals at bearish patterns.
Helps traders recognize trend reversals and entry/exit points.
Bullish Engulfing Pattern (Green Label)
What it means: A bullish engulfing pattern typically signals a potential reversal from a downtrend to an uptrend. The current candle fully engulfs the previous candle, signaling strong buying interest.
Identifying Candlestick Patterns on the Chart
How to use it:
Entry: Look for a green label (bullish engulfing) at the bottom of the chart. When it appears, consider entering a long position (buy).
Confirmation: To increase reliability, wait for confirmation by observing if price moves above the high of the bullish engulfing candle.
Exit: Exit when the trend shows signs of reversing or take profit at predefined levels (e.g., resistance or a risk-to-reward ratio).
Bearish Engulfing Pattern (Red Label)
What it means: A bearish engulfing pattern is a signal of a potential reversal from an uptrend to a downtrend. The current candle fully engulfs the previous candle, signaling strong selling pressure.
How to use it:
Entry: Look for a red label (bearish engulfing) at the top of the chart. When it appears, consider entering a short position (sell).
Confirmation: Wait for the price to move below the low of the bearish engulfing candle to confirm the bearish trend.
Exit: Close the trade when the price reaches support levels or the trend shows signs of reversing.
Doji Pattern (Blue Circle)
What it means: A Doji candle signals market indecision. It represents a balance between buyers and sellers, often marking a potential reversal or consolidation point.
How to use it:
Entry: If the Doji appears after a strong trend (bullish or bearish), wait for the next candle to break above or below the Doji's high or low. This can signal a continuation or reversal.
Confirmation: You can look for additional indicators like moving averages, RSI, or MACD for confirmation before taking any action.
Exit: Exit when the price shows clear momentum in your entry direction.
Hammer Pattern (Orange Triangle)
What it means: The hammer pattern is a bullish reversal pattern that appears after a downtrend. It suggests that sellers pushed the price down during the session, but buyers managed to push the price back up.
How to use it:
Entry: When a hammer appears, consider entering a long position (buy). The price should move above the hammer's high for confirmation.
Confirmation: Look for strong volume and a follow-up bullish candle to confirm the reversal.
Exit: Set a target based on the next resistance level, or use a trailing stop to lock in profits.
Using Candlestick Patterns with Other Indicators
To increase your chances of success, combine candlestick patterns with other technical indicators.
Here are some ideas:
RSI (Relative Strength Index): Use RSI to check whether the market is overbought or oversold. A bullish engulfing in an oversold market could indicate a stronger buy signal, and a bearish engulfing in an overbought market could indicate a stronger sell signal.
Moving Averages (e.g., 50 EMA, 200 EMA): Confirm trend direction. If the candlestick pattern aligns with the direction of the moving averages, it can give a stronger signal.
MACD (Moving Average Convergence Divergence): Use MACD to confirm momentum and potential trend changes. If a candlestick pattern aligns with a MACD crossover, it strengthens the signal.
Volume: Look for higher-than-average volume when a pattern appears. This can give you additional confirmation that the market is reacting strongly.
Practice and Refine
It's important to practice using the candlestick patterns in a demo account or backtest them to see how they perform under different market conditions. Over time, you can adjust the settings and patterns to fit your trading style and preferences.
Auto-Length Moving Average + Trend Signals (Zeiierman)█ Overview
The Auto-Length Moving Average + Trend Signals (Zeiierman) is an easy-to-use indicator designed to help traders dynamically adjust their moving average length based on market conditions. This tool adapts in real-time, expanding and contracting the moving average based on trend strength and momentum shifts.
The indicator smooths out price fluctuations by modifying its length while ensuring responsiveness to new trends. In addition to its adaptive length algorithm, it incorporates trend confirmation signals, helping traders identify potential trend reversals and continuations with greater confidence.
This indicator suits scalpers, swing traders, and trend-following investors who want a self-adjusting moving average that adapts to volatility, momentum, and price action dynamics.
█ How It Works
⚪ Dynamic Moving Average Length
The core feature of this indicator is its ability to automatically adjust the length of the moving average based on trend persistence and market conditions:
Expands in strong trends to reduce noise.
Contracts in choppy or reversing markets for faster reaction.
This allows for a more accurate moving average that aligns with current price dynamics.
⚪ Trend Confirmation & Signals
The indicator includes built-in trend detection logic, classifying trends based on market structure. It evaluates trend strength based on consecutive bars and smooths out transitions between bullish, bearish, and neutral conditions.
Uptrend: Price is persistently above the adjusted moving average.
Downtrend: Price remains below the adjusted moving average.
Neutral: Price fluctuates around the moving average, indicating possible consolidation.
⚪ Adaptive Trend Smoothing
A smoothing factor is applied to enhance trend readability while minimizing excessive lag. This balances reactivity with stability, making it easier to follow longer-term trends while avoiding false signals.
█ How to Use
⚪ Trend Identification
Bullish Trend: The indicator confirms an uptrend when the price consistently stays above the dynamically adjusted moving average.
Bearish Trend: A downtrend is recognized when the price remains below the moving average.
⚪ Trade Entry & Exit
Enter long when the dynamic moving average is green and a trend signal occurs. Exit when the price crosses below the dynamic moving average.
Enter short when the dynamic moving average is red and a trend signal occurs. Exit when the price crosses above the dynamic moving average.
█ Slope-Based Reset
This mode resets the trend counter when the moving average slope changes direction.
⚪ Interpretation & Insights
Best for trend-following traders who want to filter out noise and only reset when a clear shift in momentum occurs.
Higher slope length (N): More stable trends, fewer resets.
Lower slope length (N): More reactive to small price swings, frequent resets.
Useful in swing trading to track significant trend reversals.
█ RSI-Based Reset
The counter resets when the Relative Strength Index (RSI) crosses predefined overbought or oversold levels.
⚪ Interpretation & Insights
Best for reversal traders who look for extreme overbought/oversold conditions.
High RSI threshold (e.g., 80/20): Fewer resets, only extreme conditions trigger adjustments.
Lower RSI threshold (e.g., 60/40): More frequent resets, detecting smaller corrections.
Great for detecting exhaustion in trends before potential reversals.
█ Volume-Based Reset
A reset occurs when current volume significantly exceeds its moving average, signaling a shift in market participation.
⚪ Interpretation & Insights
Best for traders who follow institutional activity (high volume often means large players are active).
Higher volume SMA length: More stable trends, only resets on massive volume spikes.
Lower volume SMA length: More reactive to short-term volume shifts.
Useful in identifying breakout conditions and trend acceleration points.
█ Bollinger Band-Based Reset
A reset occurs when price closes above the upper Bollinger Band or below the lower Bollinger Band, signaling potential overextension.
⚪ Interpretation & Insights
Best for traders looking for volatility-based trend shifts.
Higher Bollinger Band multiplier (k = 2.5+): Captures only major price extremes.
Lower Bollinger Band multiplier (k = 1.5): Resets on moderate volatility changes.
Useful for detecting overextensions in strong trends before potential retracements.
█ MACD-Based Reset
A reset occurs when the MACD line crosses the signal line, indicating a momentum shift.
⚪ Interpretation & Insights
Best for momentum traders looking for trend continuation vs. exhaustion signals.
Longer MACD lengths (260, 120, 90): Captures major trend shifts.
Shorter MACD lengths (10, 5, 3): Reacts quickly to momentum changes.
Useful for detecting strong divergences and market shifts.
█ Stochastic-Based Reset
A reset occurs when Stochastic %K crosses overbought or oversold levels.
⚪ Interpretation & Insights
Best for short-term traders looking for fast momentum shifts.
Longer Stochastic length: Filters out false signals.
Shorter Stochastic length: Captures quick intraday shifts.
█ CCI-Based Reset
A reset occurs when the Commodity Channel Index (CCI) crosses predefined overbought or oversold levels. The CCI measures the price deviation from its statistical mean, making it a useful tool for detecting overextensions in price action.
⚪ Interpretation & Insights
Best for cycle traders who aim to identify overextended price deviations in trending or ranging markets.
Higher CCI threshold (e.g., ±200): Detects extreme overbought/oversold conditions before reversals.
Lower CCI threshold (e.g., ±10): More sensitive to trend shifts, useful for early signal detection.
Ideal for detecting momentum shifts before price reverts to its mean or continues trending strongly.
█ Momentum-Based Reset
A reset occurs when Momentum (Rate of Change) crosses zero, indicating a potential shift in price direction.
⚪ Interpretation & Insights
Best for trend-following traders who want to track acceleration vs. deceleration.
Higher momentum length: Captures longer-term shifts.
Lower momentum length: More responsive to short-term trend changes.
█ How to Interpret the Trend Strength Table
The Trend Strength Table provides valuable insights into the current market conditions by tracking how the dynamic moving average is adjusting based on trend persistence. Each metric in the table plays a role in understanding the strength, longevity, and stability of a trend.
⚪ Counter Value
Represents the current length of trend persistence before a reset occurs.
The higher the counter, the longer the current trend has been in place without resetting.
When this value reaches the Counter Break Threshold, the moving average resets and contracts to become more reactive.
Example:
A low counter value (e.g., 10) suggests a recent trend reset, meaning the market might be changing directions frequently.
A high counter value (e.g., 495) means the trend has been ongoing for a long time, indicating strong trend persistence.
⚪ Trend Strength
Measures how strong the current trend is based on the trend confirmation logic.
Higher values indicate stronger trends, while lower values suggest weaker trends or consolidations.
This value is dynamic and updates based on price action.
Example:
Trend Strength of 760 → Indicates a high-confidence trend.
Trend Strength of 50 → Suggests weak price action, possibly a choppy market.
⚪ Highest Trend Score
Tracks the strongest trend score recorded during the session.
Helps traders identify the most dominant trend observed in the timeframe.
This metric is useful for analyzing historical trend strength and comparing it with current conditions.
Example:
Highest Trend Score = 760 → Suggests that at some point, there was a strong trend in play.
If the current trend strength is much lower than this value, it could indicate trend exhaustion.
⚪ Average Trend Score
This is a rolling average of trend strength across the session.
Provides a bigger picture of how the trend strength fluctuates over time.
If the average trend score is high, the market has had persistent trends.
If it's low, the market may have been choppy or sideways.
Example:
Average Trend Score of 147 vs. Current Trend Strength of 760 → Indicates that the current trend is significantly stronger than the historical average, meaning a breakout might be occurring.
Average Trend Score of 700+ → Suggests a strong trending market overall.
█ Settings
⚪ Dynamic MA Controls
Base MA Length – Sets the starting length of the moving average before dynamic adjustments.
Max Dynamic Length – Defines the upper limit for how much the moving average can expand.
Trend Confirmation Length – The number of bars required to validate an uptrend or downtrend.
⚪ Reset & Adaptive Conditions
Reset Condition Type – Choose what triggers the moving average reset (Slope, RSI, Volume, MACD, etc.).
Trend Smoothing Factor – Adjusts how smoothly the moving average responds to price changes.
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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.
Bearish Gap Down DetectionThis indicator is designed to identify bearish gap downs in price action and visually mark them on your chart. A gap down occurs when today's opening price is below the previous day's low, and the closing price remains below that low, signaling a potential bearish continuation or reversal.
Features:
Precise Gap Down Detection: Identifies only confirmed bearish gap downs, avoiding false signals.
Clear Visual Markers: Marks detected gap downs with a red downward triangle above the bar for easy identification.
Minimalist Design: Focuses solely on gap down detection, without any reliance on moving averages or additional noise.
Use Cases:
Trend Reversals: Spot potential downward trends as they develop.
Momentum Confirmation: Use alongside other indicators or strategies to confirm bearish momentum.
Swing Trading Opportunities: Ideal for traders looking to capitalize on significant price movements.
How It Works:
The script detects a gap down when:
Today's opening price is below the previous day's low.
Today's closing price stays below the previous day's low.
When these conditions are met, the indicator plots a red triangle above the price bar, signaling a bearish gap down.
Best Practices:
Apply this script to daily or higher timeframes for more reliable results.
Combine it with other indicators, such as support/resistance levels or volume analysis, for enhanced decision-making.
CandelaCharts - Swing Failure Pattern (SFP)# SWING FAILURE PATTERN
📝 Overview
The Swing Failure Pattern (SFP) indicator is designed to identify and highlight Swing Failure Patterns on a user’s chart. This pattern typically emerges when significant market participants generate liquidity by driving price action to key levels. An SFP occurs when the price temporarily breaks above a resistance level or below a support level, only to quickly reverse and return within the previous range. These movements are often associated with stop-loss hunting or liquidity grabs, providing traders with potential opportunities to anticipate reversals or key market turning points.
A Bullish SFP occurs when the price dips below a key support level, triggering stop-loss orders, but then swiftly reverses upward, signaling a potential upward trend or reversal.
A Bearish SFP happens when the price spikes above a key resistance level, triggering stop-losses of short positions, but then quickly reverses downward, indicating a potential bearish trend or reversal.
The indicator is a powerful tool for traders, helping to identify liquidity grabs and potential reversal points in real-time. Marking bullish and bearish Swing Failure Patterns on the chart, it provides clear visual cues for spotting market traps set by major players, enabling more informed trading decisions and improved risk management.
📦 Features
Bullish/Bearish SFPs
Styling
⚙️ Settings
Length: Determines the detection length of each SFP
Bullish SFP: Displays the bullish SFPs
Bearish SFP: Displays the bearish SFPs
Label: Controls the size of the label
⚡️ Showcase
Bullish
Bearish
Both
📒 Usage
The best approach is to combine a few complementary indicators to gain a clearer market perspective. This doesn’t mean relying on the Golden Cross, RSI divergences, SFPs, and funding rates simultaneously, but rather focusing on one or two that align well in a given scenario.
The example above demonstrates the confluence of a Bearish Swing Failure Pattern (SFP) with an RSI divergence. This combination strengthens the signal, as the Bearish SFP indicates a potential reversal after a liquidity grab, while the RSI divergence confirms weakening momentum at the key level. Together, these indicators provide a more robust setup for identifying potential market reversals with greater confidence.
🚨 Alerts
This script provides alert options for all signals.
Bearish Signal
A bearish signal is triggered when a Bearish SFP is formed.
Bullish Signal
A bullish signal is triggered when a Bullish SFP is formed.
⚠️ Disclaimer
Trading involves significant risk, and many participants may incur losses. The content on this site is not intended as financial advice and should not be interpreted as such. Decisions to buy, sell, hold, or trade securities, commodities, or other financial instruments carry inherent risks and are best made with guidance from qualified financial professionals. Past performance is not indicative of future results.
Absolute Strength Index [ASI] (Zeiierman)█ Overview
The Absolute Strength Index (ASI) is a next-generation oscillator designed to measure the strength and direction of price movements by leveraging percentile-based normalization of historical returns. Developed by Zeiierman, this indicator offers a highly visual and intuitive approach to identifying market conditions, trend strength, and divergence opportunities.
By dynamically scaling price returns into a bounded oscillator (-10 to +10), the ASI helps traders spot overbought/oversold conditions, trend reversals, and momentum changes with enhanced precision. It also incorporates advanced features like divergence detection and adaptive signal smoothing for versatile trading applications.
█ How It Works
The ASI's core calculation methodology revolves around analyzing historical price returns, classifying them into top and bottom percentiles, and normalizing the current price movement within this framework. Here's a breakdown of its key components:
⚪ Returns Lookback
The ASI evaluates historical price returns over a user-defined period (Returns Lookback) to measure recent price behavior. This lookback window determines the sensitivity of the oscillator:
Shorter Lookback: Higher responsiveness to recent price movements, suitable for scalping or high-volatility assets.
Longer Lookback: Smoother oscillator behavior is ideal for identifying larger trends and avoiding false signals.
⚪ Percentile-Based Thresholds
The ASI categorizes returns into two groups:
Top Percentile (Winners): The upper X% of returns, representing the strongest upward price moves.
Bottom Percentile (Losers): The lower X% of returns, capturing the sharpest downward movements.
This percentile-based normalization ensures the ASI adapts to market conditions, filtering noise and emphasizing significant price changes.
⚪ Oscillator Normalization
The ASI normalizes current returns relative to the top and bottom thresholds:
Values range from -10 to +10, where:
+10 represents extreme bullish strength (above the top percentile threshold).
-10 indicates extreme bearish weakness (below the bottom percentile threshold).
⚪ Signal Line Smoothing
A signal line is optionally applied to the ASI using a variety of moving averages:
Options: SMA, EMA, WMA, RMA, or HMA.
Effect: Smooths the ASI to filter out noise, with shorter lengths offering higher responsiveness and longer lengths providing stability.
⚪ Divergence Detection
One of ASI's standout features is its ability to detect and highlight bullish and bearish divergences:
Bullish Divergence: The ASI forms higher lows while the price forms lower lows, signaling potential upward reversals.
Bearish Divergence: The ASI forms lower highs while the price forms higher highs, indicating potential downward reversals.
█ Key Differences from RSI
Dynamic Adaptability: ASI adjusts to market conditions through percentile-based scaling, while RSI uses static thresholds.
█ How to Use ASI
⚪ Trend Identification
Bullish Strength: ASI above zero suggests upward momentum, suitable for trend-following trades.
Bearish Weakness: ASI below zero signals downward momentum, ideal for short trades or exits from long positions.
⚪ Overbought/Oversold Levels
Overbought Zone: ASI in the +8 to +10 range indicates potential exhaustion of bullish momentum.
Oversold Zone: ASI in the -8 to -10 range points to potential reversal opportunities.
⚪ Divergence Signals
Look for bullish or bearish divergence labels to anticipate trend reversals before they occur.
⚪ Signal Line Crossovers
A crossover between the ASI and its signal line (e.g., EMA or SMA) can indicate a shift in momentum:
Bullish Crossover: ASI crosses above the signal line, signaling potential upside.
Bearish Crossover: ASI crosses below the signal line, suggesting downside momentum.
█ Settings Explained
⚪ Absolute Strength Index
Returns Lookback: Sets the sensitivity of the oscillator. Shorter periods detect short-term changes, while longer periods focus on broader trends.
Top/Bottom Percentiles: Adjust thresholds for defining winners and losers. Narrower percentiles increase sensitivity to outliers.
Signal Line Type: Choose from SMA, EMA, WMA, RMA, or HMA for smoothing.
Signal Line Length: Fine-tune the responsiveness of the signal line.
⚪ Divergence
Divergence Lookback: Adjusts the period for detecting divergence. Use longer lookbacks to reduce noise.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. 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.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Top G indicator [BigBeluga]Top G Indicator is a straightforward yet powerful tool designed to identify market extremes, helping traders spot potential tops and bottoms effectively.
🔵 Key Features:
High Probability Signals:
𝔾 Label: Indicates high-probability market bottoms based on specific conditions such as low volatility and momentum shifts.
Top Label: Highlights high-probability market tops using key price action dynamics.
Simple Signals for Potential Extremes:
^ (Caret): Marks potential bottom areas with less certainty than 𝔾 labels.
v (Inverted Caret): Signals potential top areas with less certainty than Top labels.
Midline Visualization:
A smoothed midline helps identify the center of the current range, providing additional context for trend and range trading.
Range Highlighting:
Dynamic bands around the highest and lowest points of the selected period, color-coded for easy identification of the market range.
🔵 Usage:
Spot Extremes: Use 𝔾 and Top labels to identify high-probability reversal points for potential entries or exits.
Monitor Potential Reversals: Leverage ^ and v marks for additional signals on potential turning points, especially during range-bound conditions.
Range Analysis: Use the midline and dynamic bands to determine the market's range and its center, aiding in identifying consolidation or breakout scenarios.
Confirmation Tool: Combine this indicator with other tools to confirm reversal or trend continuation setups.
Top G Indicator is a simple yet effective tool for spotting market extremes, designed to assist traders in making timely decisions by identifying potential tops and bottoms with clarity.
Adaptive Trend Flow [QuantAlgo]Adaptive Trend Flow 📈🌊
The Adaptive Trend Flow by QuantAlgo is a sophisticated technical indicator that harnesses the power of volatility-adjusted EMAs to navigate market trends with precision. By seamlessly integrating a dynamic dual-EMA system with adaptive volatility bands, this premium tool enables traders and investors to identify and capitalize on sustained market moves while effectively filtering out noise. The indicator's unique approach to trend detection combines classical technical analysis with modern adaptive techniques, providing traders and investors with clear, actionable signals across various market conditions and asset class.
💫 Indicator Architecture
The Adaptive Trend Flow provides a sophisticated framework for assessing market trends through a harmonious blend of EMA dynamics and volatility-based boundary calculations. Unlike traditional moving average systems that use fixed parameters, this indicator incorporates smart volatility measurements to automatically adjust its sensitivity to market conditions. The core algorithm employs a dual EMA system combined with standard deviation-based volatility bands, creating a self-adjusting mechanism that expands and contracts based on market volatility. This adaptive approach allows the indicator to maintain its effectiveness across different market phases - from ranging to trending conditions. The volatility-adjusted bands act as dynamic support and resistance levels, while the gradient visualization system provides instant visual feedback on trend strength and duration.
📊 Technical Composition and Calculation
The Adaptive Trend Flow is composed of several technical components that create a dynamic trending system:
Dual EMA System: Utilizes fast and slow EMAs for primary trend detection
Volatility Integration: Computes and smooths volatility for adaptive band calculation
Dynamic Band Generation: Creates volatility-adjusted boundaries for trend validation
Gradient Visualization: Provides progressive visual feedback on trend strength
📈 Key Indicators and Features
The Adaptive Trend Flow utilizes customizable length parameters for both EMAs and volatility calculations to adapt to different trading styles. The trend detection component evaluates price action relative to the dynamic bands to validate signals and identify potential reversals.
The indicator incorporates multi-layered visualization with:
Color-coded basis and trend lines (bullish/bearish)
Adaptive volatility-based bands
Progressive gradient background for trend duration
Clear trend reversal signals (𝑳/𝑺)
Smooth fills between key levels
Programmable alerts for trend changes
⚡️ Practical Applications and Examples
✅ Add the Indicator: Add the indicator to your TradingView chart by clicking on the star icon to add it to your favorites ⭐️
👀 Monitor Trends: Watch the basis line and trend band interactions to identify trend direction and strength. The gradient background intensity indicates trend duration and conviction.
🎯 Track Signals: Pay attention to the trend reversal markers that appear on the chart:
→ Long signals (𝑳) appear when price action confirms a bullish trend reversal
→ Short signals (𝑺) indicate validated bearish trend reversals
🔔 Set Alerts: Configure alerts for trend changes in both bullish and bearish directions, ensuring you never miss significant technical developments.
🌟 Summary and Tips
The Adaptive Trend Flow by QuantAlgo is a sophisticated technical tool designed to support trend-following strategies across different market environments and asset class. By combining dual EMA analysis with volatility-adjusted bands, it helps traders and investors identify significant trend changes while filtering out market noise, providing validated signals. The tool's adaptability through customizable EMA lengths, volatility smoothing, and sensitivity settings makes it suitable for various trading timeframes and styles, allowing users to capture trending opportunities while maintaining protection against false signals.
Key parameters to optimize for your trading and/or investing style:
Main Length: Adjust for more or less sensitivity to trend changes (default: 10)
Smoothing Length: Fine-tune volatility calculations for signal stability (default: 14)
Sensitivity: Balance band width for trend validation (default: 2.0)
Visual Settings: Customize appearance with color and display options
The Adaptive Trend Flow is particularly effective for:
Identifying sustained market trends
Detecting trend reversals with confirmation
Measuring trend strength and duration
Filtering out market noise and false signals
Remember to:
Allow the indicator to validate trend changes before taking action
Use the gradient background to gauge trend strength
Combine with volume analysis for additional confirmation
Consider multiple timeframes for a complete market view
Adjust sensitivity based on market volatility conditions
