Premarket Levels [UkutaLabs]█ OVERVIEW
The Premarket Levels indicator measures the premarket high and low of any given market. The Premarket Levels creates potential strong resistance and support levels based on the premarket high and low which traders can use to gauge the market outlook ahead of the regular open.
The aim of this script is to simplify the trading experience of users by automatically identifying and displaying price levels that they should be aware of.
█ USAGE
At the beginning of the New York Session of each trading day at 1:30pm UTC time, this script will automatically identify the High and Low prices since the market opened at 10:00pm the night before. This happens automatically and in real time, ensuring that traders have access to this information as soon as the market is open.
These lines will extend until the end of the trading day, and also contain labels that display the price of each line. These labels can be disabled in the indicator's settings.
These levels indicate the total range of the market for that day until the open of the New York Session, and can be treated as levels of Support and Resistance after the market has opened.
█ SETTINGS
Configuration
• Show Labels: Determines whether labels are drawn within the range.
• Display Mode: Determines the number of days the script should load.
Range Settings
• High Color: Determines the color of the high lines and labels.
• Low Color: Determines the color of the low lines and labels.
Analisi trend
Persistent Homology Based Trend Strength OscillatorPersistent Homology Based Trend Strength Oscillator
The Persistent Homology Based Trend Strength Oscillator is a unique and powerful tool designed to measure the persistence of market trends over a specified rolling window. By applying the principles of persistent homology, this indicator provides traders with valuable insights into the strength and stability of uptrends and downtrends, helping to inform better trading decisions.
What Makes This Indicator Original?
This indicator's originality lies in its application of persistent homology , a method from topological data analysis, to financial markets. Persistent homology examines the shape and features of data across multiple scales, identifying patterns that persist as the scale changes. By adapting this concept, the oscillator tracks the persistence of uptrends and downtrends in price data, offering a novel approach to trend analysis.
Concepts Underlying the Calculations:
Persistent Homology: This method identifies features such as clusters, holes, and voids that persist as the scale changes. In the context of this indicator, it tracks the duration and stability of price trends.
Rolling Window Analysis: The oscillator uses a specified window size to calculate the average length of uptrends and downtrends, providing a dynamic view of trend persistence over time.
Threshold-Based Trend Identification: It differentiates between uptrends and downtrends based on specified thresholds for price changes, ensuring precision in trend detection.
How It Works:
The oscillator monitors consecutive changes in closing prices to identify uptrends and downtrends.
An uptrend is detected when the closing price increase exceeds a specified positive threshold.
A downtrend is detected when the closing price decrease exceeds a specified negative threshold.
The lengths of these trends are recorded and averaged over the chosen window size.
The Trend Persistence Index is calculated as the difference between the average uptrend length and the average downtrend length, providing a measure of trend persistence.
How Traders Can Use It:
Identify Trend Strength: The Trend Persistence Index offers a clear measure of the strength and stability of uptrends and downtrends. A higher value indicates stronger and more persistent uptrends, while a lower value suggests stronger and more persistent downtrends.
Spot Trend Reversals: Significant shifts in the Trend Persistence Index can signal potential trend reversals. For instance, a transition from positive to negative values might indicate a shift from an uptrend to a downtrend.
Confirm Trends: Use the Trend Persistence Index alongside other technical indicators to confirm the strength and duration of trends, enhancing the accuracy of your trading signals.
Manage Risk: Understanding trend persistence can help traders manage risk by identifying periods of high trend stability versus periods of potential volatility. This can be crucial for timing entries and exits.
Example Usage:
Default Settings: Start with the default settings to get a feel for the oscillator’s behavior. Observe how the Trend Persistence Index reacts to different market conditions.
Adjust Thresholds: Fine-tune the positive and negative thresholds based on the asset's volatility to improve trend detection accuracy.
Combine with Other Indicators: Use the Persistent Homology Based Trend Strength Oscillator in conjunction with other technical indicators such as moving averages, RSI, or MACD for a comprehensive analysis.
Backtesting: Conduct backtesting to see how the oscillator would have performed in past market conditions, helping you to refine your trading strategy.
Market Sentiment Technicals [LuxAlgo]The Market Sentiment Technicals indicator synthesizes insights from diverse technical analysis techniques, including price action market structures, trend indicators, volatility indicators, momentum oscillators, and more.
The indicator consolidates the evaluated outputs from these techniques into a singular value and presents the combined data through an oscillator format, technical rating, and a histogram panel featuring the sentiment of each component alongside the overall sentiment.
🔶 USAGE
The Market Sentiment Technicals indicator is a tool able to swiftly and easily gauge market sentiment by consolidating the individual sentiment from multiple technical analysis techniques applied to market data into a single value, allowing users to asses if the market is uptrending, consolidating, or downtrending.
The tool includes various components and presentation formats, each described in the sub-sections below.
🔹Indicators Sentiment Panel
The indicators sentiment panel provides normalized sentiment scores for each supported indicator, along with a synthesized representation derived from the average of all individual normalized sentiments.
🔹Market Sentiment Meter
The market sentiment meter is obtained from the synthesized representation derived from the average of all individual normalized sentiments. It allows users to quickly and easily gauge the overall market sentiment.
🔹Market Sentiment Oscillator
The market sentiment oscillator provides a visual means to monitor the current and historical strength of the market. It assists in identifying the trend direction, trend momentum, and overbought and oversold conditions, aiding in the anticipation of potential trend reversals.
Divergence occurs when there is a difference between what the price action is indicating and what the market sentiment oscillator is indicating, helping traders assess changes in the price trend.
🔶 DETAILS
The indicator employs a range of technical analysis techniques to interpret market data. Each group of indicators provides valuable insights into different aspects of market behavior.
🔹Momentum Indicators
Momentum indicators assess the speed and change of price movements, often indicating whether a trend is strengthening or weakening.
Relative Strength Index (RSI): Measures the magnitude of recent price changes to evaluate overbought or oversold conditions.
Stochastic %K: Compares the closing price to the range over a specified period to identify potential reversal points.
Stochastic RSI Fast: Combines features of Stochastic oscillators and RSI to gauge both momentum and overbought/oversold levels efficiently.
Commodity Channel Index (CCI): Measures the deviation of an asset's price from its statistical average to determine trend strength and overbought and oversold conditions.
Bull Bear Power: Evaluates the strength of buying and selling pressure in the market.
🔹Trend Indicators
Trend indicators help traders identify the direction of a market trend.
Moving Averages: Provides a smoothed representation of the underlying price data, aiding in trend identification and analysis.
Bollinger Bands: Consists of a middle band (typically a simple moving average) and upper and lower bands, which represent volatility levels of the market.
Supertrend: A trailing stop able to identify the current direction of the trend.
Linear Regression: Fits a straight line to past data points to predict future price movements and identify trend direction.
🔹Market Structures
Market Structures: Analyzes the overall pattern of price movements, including Break of Structure (BOS), Market Structure Shifts (MSS), also referred to as Change of Character (CHoCH), aiding in identifying potential market turning and continuation points.
🔹The Normalization Technique
The normalization technique employed for trend indicators relies on buy-sell signals. The script tracks price movements and normalizes them based on these signals.
normalize(buy, sell, smooth)=>
var os = 0
var float max = na
var float min = na
os := buy ? 1 : sell ? -1 : os
max := os > os ? close : os < os ? max : math.max(close, max)
min := os < os ? close : os > os ? min : math.min(close, min)
ta.sma((close - min)/(max - min), smooth) * 100
In this Pine Script snippet:
The variable os tracks market sentiment, taking a value of 1 for buy signals and -1 for sell signals, indicating bullish and bearish sentiments, respectively.
max and min are used to identify extremes in sentiment and are updated based on changes in os . When market sentiment shifts from buying to selling (or vice versa), max and min adjust accordingly.
Normalization is achieved by comparing current price levels to historical extremes in sentiment. The result is smoothed by default using a 3-period simple moving average. Users have the option to customize the smoothing period via the script settings input menu.
🔶 SETTINGS
🔹Generic Settings
Timeframe: This option selects the timeframe for calculating sentiment. If a timeframe lower than the chart's is chosen, calculations will be based on the chart's timeframe.
Horizontal Offset: Determines the distance at which the visual components of the indicator will be displayed from the primary chart.
Gradient Colors: Allows customization of gradient colors.
🔹Indicators Sentiment Panel
Indicators Sentiment Panel: Toggle the visibility of the indicators sentiment panel.
Panel Height: Determines the height of the panel.
🔹Market Sentiment Meter
Market Sentiment Meter: Toggle the visibility of the market sentiment meter (technical ratings in the shape of a speedometer).
🔹Market Sentiment Oscillator
Market Sentiment Oscillator: Toggle the visibility of the market sentiment oscillator.
Show Divergence: Enables detection of divergences based on the selected option.
Oscillator Line Width: Customization option for the line width.
Oscillator Height: Determines the height of the oscillator.
🔹Settings for Individual Components
In general,
Source: Determines the data source for calculations.
Length: The period to be used in calculations.
Smoothing: Degree of smoothness of the evaluated values.
🔹Normalization Settings - Trend Indicators
Smoothing: The period used in smoothing normalized values, where normalization is applied to moving averages, Bollinger Bands, Supertrend, VWAP bands, and market structures.
🔶 LIMITATIONS
Like any technical analysis tool, the Market Sentiment Technicals indicator has limitations. It's based on historical data and patterns, which may not always accurately predict future market movements. Additionally, market sentiment can be influenced by various factors, including economic news, geopolitical events, and market psychology, which may not be fully captured by technical analysis alone.
Pre-COVID High and COVID LowOverview
The "Pre-COVID High and COVID Low" indicator is designed to identify and mark significant price levels on your chart, specifically targeting the pre-COVID-19 high and the low during the initial COVID-19 market impact. This script is particularly useful for traders who are interested in analyzing how stocks or other financial instruments reacted during the onset of the COVID-19 pandemic, providing a historical perspective that may help in making informed trading decisions.
How It Works
Date Ranges : The script uses predefined date ranges to calculate the highest and lowest price levels before and during the early stages of the COVID-19 pandemic. These ranges are:
Pre-COVID High: Between January 1, 2020, and March 31, 2020.
COVID Low: Between March 1, 2020, and March 31, 2020.
Calculation Method :
The highest price during the pre-COVID period is tracked and recorded as the "Pre-COVID High".
The lowest price during the specified COVID period is tracked and recorded as the "COVID Low".
Visibility Conditions : The script includes logic to ensure that these historical levels are only displayed if they fall within a range close to the current visible price range on the chart. This prevents the indicator from compressing the price scale unduly.
How to Use It
Adding to Your Char t: To use this indicator, add it to any chart on TradingView. It works best with daily time frames to clearly visualize the impact over these specific months.
Interpretation :
The "Pre-COVID High" is marked with a red line and is labeled the first day it becomes applicable.
The "COVID Low" is marked with a green line and is similarly labeled on its applicable day.
Trading Strategy Consideration : Traders can use these historical levels as potential support or resistance zones for their trading strategies. These levels can indicate significant price points where the market previously showed strong reactions.
Supertrend + BB + Consecutive Candles + QQE + EMA [Pineify]Overview
This indicator, developed by Pineify, is a comprehensive tool designed to assist traders in making informed decisions by combining multiple technical analysis methods. It integrates Supertrend, Bollinger Bands (BB), Consecutive Candles, Quantitative Qualitative Estimation (QQE), and Exponential Moving Averages (EMA) into a single, cohesive script. This multi-faceted approach allows traders to analyze market trends, volatility, and potential buy/sell signals with greater accuracy.
Key Features
1. Supertrend: Utilizes the Supertrend indicator to identify the prevailing market trend. It provides clear buy and sell signals based on the direction of the trend.
2. Bollinger Bands (BB): Measures market volatility and identifies overbought or oversold conditions. The script calculates the middle, upper, and lower bands, along with the Bollinger Band Width (BBW) and Bollinger Band %B (BBR).
3. Consecutive Candles: Detects sequences of consecutive bullish or bearish candles, providing signals when a specified number of consecutive candles are detected.
4. Quantitative Qualitative Estimation (QQE): Combines the Relative Strength Index (RSI) with a smoothing factor to generate buy and sell signals based on the QQE methodology.
5. Exponential Moving Averages (EMA): Includes both fast and slow EMAs to identify potential crossovers, which are used as buy and sell signals.
How It Works
- Supertrend: The Supertrend indicator is calculated using a factor and ATR length. It plots the trend direction and generates buy/sell signals when the trend changes.
- Bollinger Bands: The BB indicator calculates the middle band as a Simple Moving Average (SMA) of the closing prices. The upper and lower bands are derived by adding and subtracting a multiple of the standard deviation from the middle band.
- Consecutive Candles: This feature counts the number of consecutive candles that close higher or lower than the previous candle. When the count reaches a specified threshold, it generates a buy or sell signal.
- QQE: The QQE indicator smooths the RSI values and calculates the QQE Fast and QQE Slow lines. Buy and sell signals are generated based on the crossover of these lines.
- EMA: The script calculates fast and slow EMAs and generates buy/sell signals based on their crossovers.
How to Use
1. Inputs: Customize the indicator settings through the input parameters:
- Supertrend Factor and ATR Length
- BB Length
- Consecutive Candles Counting
- QQE RSI Length
- Fast and Slow EMA Lengths
- Enable/Disable Alerts for various signals
2. Alerts: Set up alerts for Supertrend, Consecutive Candles, and EMA crossovers. Alerts can be enabled or disabled based on user preference.
3. Visualization: The indicator plots the Supertrend, Bollinger Bands, and EMA lines on the chart. It also marks buy and sell signals with arrows and labels for easy identification.
Concepts Underlying Calculations
- Supertrend: Based on the Average True Range (ATR) to determine the trend direction and potential reversal points.
- Bollinger Bands: Utilizes standard deviation to measure market volatility and identify overbought/oversold conditions.
- Consecutive Candles: A method to detect momentum by counting consecutive bullish or bearish candles.
- QQE: Enhances the traditional RSI by smoothing it and using a dynamic threshold to generate signals.
- EMA: A widely used moving average that gives more weight to recent prices, making it responsive to market changes.
This indicator is a powerful tool for traders looking to combine multiple technical analysis methods into a single, easy-to-use script. By integrating these diverse techniques, it provides a comprehensive view of market conditions and potential trading opportunities.
Linear Regression Oscillator [ChartPrime]Linear Regression Oscillator Indicator
Overview:
The Linear Regression Oscillator is a custom TradingView indicator designed to provide insights into potential mean reversion and trend conditions. By calculating a linear regression on the closing prices over a user-defined period, this oscillator helps identify overbought and oversold levels and highlights trend changes. The indicator also offers visual cues and color-coded price bars to aid in quick decision-making.
Key Features:
◆ Customizable Look-Back Period:
Input: Length
Default: 20
Description: Determines the period over which the linear regression is calculated. A longer period smooths the oscillator but may lag, while a shorter period is more responsive but may be noisier.
◆ Overbought and Oversold Thresholds:
Inputs: Upper Threshold and Lower Threshold
Default: 1.5 and -1.5 respectively
Description: Define the upper and lower bounds for identifying overbought and oversold conditions. Values outside these thresholds suggest potential reversals.
◆ Candlestick Color Plotting:
Input: Plot Bar Color
Default: false
Description: Option to color the price bars based on the oscillator's value, providing a visual representation of market conditions. Bars turn cyan for positive oscillator values and blue for negative.
◆ Mean Reversion and Trend Signals:
Visual markers and labels indicate when the oscillator suggests mean reversion or trend changes, aiding in identifying key market turning points.
◆ Invalidation Levels:
Tracks the highest and lowest prices over a recent period to set levels where the current trend signal would be considered invalidated.
◆ Gradient Color Coding:
Utilizes gradient color coding to enhance the visualization of oscillator values, making it easier to interpret overbought and oversold conditions.
◆ Usage Notes:
Setting the Look-Back Period:
Adjust the "Length" input based on the timeframe and the type of trading you are conducting. Shorter periods are more suited for intraday trading, while longer periods can be used for swing trading.
Interpreting Thresholds:
Use the upper and lower threshold inputs to fine-tune the sensitivity of the overbought and oversold signals. Higher absolute values reduce the number of signals but increase their reliability.
Candlestick Coloring:
Enabling the "Plot Bar Color" option can help quickly identify the current state of the oscillator in relation to the zero line. This visual aid can be particularly useful in fast-moving markets.
Mean Reversion and Trend Signals:
Pay attention to the symbols and labels on the chart indicating mean reversion and trend changes. These signals are designed to highlight potential entry and exit points.
Invalidation Levels:
Use the plotted invalidation levels as stop-loss or signal invalidation points. If the price moves beyond these levels, the current trend signal is likely invalid.
This indicator helps traders identify overbought and oversold conditions, potential mean reversions, and trend changes based on the linear regression of the closing prices over a specified look-back period.
Percentage GridPercentage Grid Indicator
Description:
The Percentage Grid indicator is designed to assist traders in identifying significant support and resistance levels based on yearly percentage changes. This indicator plots horizontal lines on the chart from the start of the year, allowing you to customize how much percentage each line represents. Currently, you can set up to 5 horizontal lines, each representing a different percentage change from the beginning of the year.
For instance, when applied to the SBI Bank stock, you can customize the lines to display various percentage changes from the start of the year, such as 20%, 25%, and up to 35%, as the SBIN stock is currently trading around these levels. This visualization helps traders to easily identify key levels where price action tends to react, providing valuable insights for making trading decisions.
Principles of Trading Technical Analysis:
The Percentage Grid indicator is grounded in the principle of support and resistance levels, which are fundamental concepts in technical analysis. These levels are specific price points on a chart that tend to act as barriers, preventing the price from getting pushed in a certain direction. The indicator helps in:
Identifying Support Levels: Price levels where a downtrend can be expected to pause due to a concentration of buying interest.
Identifying Resistance Levels: Price levels where an uptrend can be expected to pause due to a concentration of selling interest.
By customizing and plotting percentage-based horizontal lines, the indicator highlights these critical levels based on the percentage change from the start of the year.
How to Use:
Add the Indicator to Your Chart:
Search for "Percentage Grid" in the TradingView indicator library and add it to your chart.
Customize Percentage Levels:
Access the indicator settings to customize the percentage change each line represents.
You can set up to 5 different percentage levels. For example, you can set lines at 20%, 25%, 30%, 35%, and 40%.
Interpret the Grid Lines:
The plotted lines will represent the specified percentage changes from the start of the year.
Use these lines to identify potential support and resistance levels where price action is likely to react.
Practical Application:
Look for price bounces or reversals around these levels, which can indicate strong support or resistance.
Combine the Percentage Grid with other technical analysis tools, such as moving averages or trend lines, to confirm potential trading opportunities.
Example:
In the accompanying screenshot, the Percentage Grid is applied to the SBI Bank stock. The lines are set to display 20%, 25%, 30%, 35%, and 40% changes from the start of the year. Notice how the price action respects these levels, providing clear areas where support and resistance are evident.
By incorporating the Percentage Grid into your trading strategy, you can enhance your ability to identify key price levels and make more informed trading decisions.
Happy Trading!
Z-score Volume by SkreepanDescription:
This indicator calculates the Z-score of the trading volume over a specified period. The Z-score is a statistical measure that describes a value's relation to the mean of a group of values. In this context, it shows how far the current volume is from the average volume in terms of standard deviations.
Inputs:
ROC Length: The period used to calculate the Rate of Change (ROC) of the source price. Default is 9.
Source: The data series to calculate the ROC. Default is the closing price.
Period: The number of bars used to calculate the moving average and standard deviation of the volume. Default is 56.
Volume Z-Score Threshold: The threshold for the Z-score above which specific conditions will trigger visual markers. Default is 3.0.
Conditions:
A visual marker (triangle) is plotted on the chart when the following conditions are met:
1. The Volume Z-Score is greater than the specified threshold.
2. The open price is greater than the close price (indicating a bearish candle).
3. The ROC is less than -2.0 (indicating a significant downward movement).
Visualizations:
Markers are plotted on the chart when the conditions are met to highlight significant volume spikes under bearish conditions with strong downward price movement.
Note:
This indicator works by detecting anomalous volumes. When such volumes occur, it is considered a good signal to buy. The indicator performs well on 3-minute and 5-minute timeframes, but if you see a signal on the hourly timeframe, it serves as good confirmation on smaller timeframes. This indicator only works for buy signals.
If this indicator has been helpful to you, please leave a comment!
[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!
Pivot PointsPivot points are technical indicators used in financial markets (such as stocks, forex, or commodities) to identify potential turning points in price movement. They provide reference levels based on the previous day’s price action.
How to use the Pivot Points indicator
Traders use pivot points to identify significant price levels where the market may reverse or consolidate.
PP, S1, and R1 are considered primary levels, while S2 and R2 are secondary levels.
R3, R4, R5, S3, S4 and S5 are considered more extreme levels and we normally don't see price action trade near these levels on a typical day. This indicator calculates those extreme levels to help on days with extreme price action.
Pivot points can be calculated for different timeframes (daily, weekly, monthly, quarterly, 6-months and yearly).
Pivot points calculated using the daily timeframe is a popular chose among day traders traders who trade intraday timeframes.
Trading Strategies
Bounce Strategy:
Buy near support (S1 or S2) if the price bounces off these levels.
Sell near resistance (R1 or R2) if the price reverses from these levels.
Breakout Strategy:
If the price breaks above R1, consider a long position.
If the price breaks below S1, consider a short position.
Profit targets:
If in a long trade and price hits R1, you take some profit.
If in a short trade and price hits S1, you take some profit.
Combine pivot points with other technical indicators (e.g., moving averages, candlestick patterns) for confirmation. Remember that pivot points are just one tool among many, and their effectiveness varies across different markets and timeframes. Always practice risk management and consider the overall market context when using pivot points in your trading decisions.
MC vs Total MCMC vs Total MC
this is an edit of StableCoin MC vs Total MC by Crypto5Max supporting muti timeframes and addition dominances
is a powerful and versatile TradingView indicator designed to help traders and analysts visualize the dominance of different types of cryptocurrencies (StableCoin, AltCoin, BTC, ETH) relative to the total market capitalization. This indicator provides a clear and concise way to monitor market trends and make informed decisions based on the dominance of specific cryptocurrency segments.
Key Features:
Customizable Time Frames: Select from a variety of time frames including 5 Min, 15 Min, 30 Min, 1HR, 2HR, 4HR, 8HR, and Daily to tailor the analysis to your needs.
Dominance Type Selection: Choose the type of market capitalization dominance you want to track - StableCoins, AltCoins, Bitcoin, or Ethereum.
Total Market Capitalization Options: Analyze the market with different total market capitalization metrics - total crypto market cap, total market cap excluding BTC, or total market cap excluding BTC and ETH.
Dynamic Label Display: A label that follows the plotted dominance line and dynamically displays the dominance percentage, providing a clear visual representation.
Invisible Background Option: Choose to have an invisible background for a cleaner chart presentation.
How It Works:
Time Frame Selection: Use the time_frame input to choose the desired time frame for your analysis.
Dominance Type Selection: Select the type of dominance to display using the mcap_type input.
Total Market Capitalization Selection: Choose the total market capitalization metric with the total_sym input.
Dominance Calculation: The indicator calculates the dominance of the selected cryptocurrency type as a percentage of the total market capitalization.
Visual Display: The chosen dominance is plotted on the chart, and a label displaying the dominance percentage is dynamically updated to follow the plotted line.
Use Cases:
Market Trend Analysis: Identify trends in the dominance of StableCoins, AltCoins, BTC, or ETH to gauge market sentiment.
Portfolio Allocation: Make informed decisions about portfolio allocation by understanding the market share of different cryptocurrency types.
Technical Analysis: Combine with other technical indicators to enhance your trading strategy and gain deeper market insights.
This indicator is essential for traders, analysts, and investors who want to stay ahead of market movements and make data-driven decisions based on the dominance of various cryptocurrency segments.
Example:
If you select "AltCoin" as the dominance type and "Total 3" as the total market capitalization, the indicator will plot the dominance of AltCoins (excluding BTC and ETH) as a percentage of the total crypto market capitalization (excluding BTC and ETH) on the selected time frame. The dynamic label will display this percentage, updating as the market evolves.
Elevate your market analysis with the MC vs Total MC indicator and gain a comprehensive view of cryptocurrency dominance trends.
Supertrend Alert with Arrows and Time FilterOverview
This script is designed to generate trading signals based on the Supertrend indicator, a popular technical analysis tool. The Supertrend indicator is used to identify the direction of the market trend and potential reversal points.
Supertrend Settings
The script uses two sets of Supertrend settings:
Small Supertrend
Factor: 3.0
ATR Period: 10
Big Supertrend
Factor: 10.0
ATR Period: 30
These settings are fixed and should not be altered to maintain the integrity of the signal generation process.
Configurable Parameters
startHour: The hour at which signal generation begins.
endHour: The hour at which signal generation ends.
These parameters allow users to focus on specific trading hours, optimizing the signal relevance to their trading strategy.
Signal Types
The script generates two types of signals:
Type 1: Reversal Signal
Long Signal: Triggered when the big Supertrend is in an uptrend, and the small Supertrend transitions from a downtrend to an uptrend.
Short Signal: Triggered when the big Supertrend is in a downtrend, and the small Supertrend transitions from an uptrend to a downtrend.
Type 2: Trend Change Signal
Long Signal: Triggered when the big Supertrend changes from a downtrend to an uptrend.
Short Signal: Triggered when the big Supertrend changes from an uptrend to a downtrend.
How the Script Works
Initialization: The script initializes with predefined Supertrend settings.
Data Input: Market data (e.g., price data) is fed into the script.
Supertrend Calculation: The script calculates the Supertrend values using the predefined factors and ATR periods.
Signal Detection: The script monitors the Supertrend values and detects the defined signals based on the conditions mentioned above.
Time Filtering: Signals are filtered based on the specified startHour and endHour, ensuring only relevant signals are displayed within the desired timeframe.
Usage
Set Parameters: Define startHour and endHour according to your trading schedule.
Run Script: Execute the script with market data input.
Interpret Signals: Monitor the generated signals and use them to inform your trading decisions.
Originality
Dual Supertrend Usage: The use of both a small and a big Supertrend to generate signals adds a layer of complexity and reliability to the signals.
Time-Based Filtering: Allows traders to focus on specific trading hours, enhancing the relevance and accuracy of signals.
Two Signal Types: The combination of reversal signals and trend change signals provides comprehensive market insights.
Conclusion
This Supertrend Signal Generator is a robust tool for traders seeking to leverage the Supertrend indicator for more informed trading decisions. By combining dual Supertrend settings and configurable trading hours, the script offers unique and flexible signal generation capabilities.
RvB ( relative strength vs BTC ) Overview
The "Coin vs BTC" indicator is designed to compare the performance of a selected cryptocurrency against Bitcoin (BTC) using Exponential Moving Averages (EMAs). By plotting the difference in EMA values as a percentage, this indicator helps traders visualize the relative strength of a cryptocurrency compared to Bitcoin over specified periods.
How It Works
EMA Calculation: The indicator calculates two EMAs (lengths specified by the user) for both the selected cryptocurrency and Bitcoin (BTC).
Length 1: Fast EMA (default: 9)
Length 2: Slow EMA (default: 21)
Score Calculation:
For both the selected coin and Bitcoin, it computes a score representing the percentage difference between the fast and slow EMAs relative to the previous closing price. This is done using the following steps:
Calculate the difference between the fast and slow EMAs.
Compute the percentage of this difference relative to the previous closing price.
Round the percentage to two decimal places for clarity.
Plotting: The scores for both the selected cryptocurrency and Bitcoin are plotted on the same chart:
Coin Score: Displayed in blue.
BTC Score: Displayed in orange.
Potential Uses
Relative Strength Analysis:
This indicator helps traders compare the strength of a cryptocurrency against Bitcoin. A higher score for the selected coin compared to Bitcoin indicates it is performing better relative to its moving averages.
Trend Confirmation:
By observing the EMA differences, traders can confirm trends and potential reversals. Consistently higher scores may indicate a strong upward trend, while lower scores could suggest a weakening trend.
Market Comparison:
This tool is particularly useful for those looking to understand how their selected cryptocurrency is performing in the broader market context, especially in relation to Bitcoin, which is often considered a market benchmark.
Candle Strength Oscillator by SyntaxGeekThis candle strength oscillator displays a smoothed rolling difference between the body range (close and open) and total candle range (high and low).
When candles have small bodies, such as a doji, it can indicate weakness, when candles have essentially little to no wicks it can indicate strength.
There are two modes of display for the strength trend to show potential exhaustion on either side, bollinger bands and donchian channels. Each has their own pros and cons but as most are familiar with bollinger bands this is the default.
Another feature is the ATR measurement, which can assist in displaying an overall reduction in range volatility when comparing historical price movements to current oscillations.
The zero line can show some importance with regards to the peaks and valleys of the main measurement, when everything is trending and there's a reversal, if the zero line isn't broken it could be considered a trend continuation pullback vs a complete reversal.
Trend arrows and bar coloring are available but should not be considered trade signals for entry and exit, merely just another way of viewing the lower study information.
As the raw data of each candle measurement is quite noisy, the entire dataset is passed through an HMA smoothing process, if more options are requested I'll consider adding them.
Thanks for view my script and happy trading!
Ticker Performance ComparisonTicker Performance Comparison Indicator
With this tool you can compare how three different tickers of your choice have performed over a specific period you choose. It can be used on any timeframe.
As you can see in the image above, I am comparing Nvidia, Bitcoin and Wadzpay over a 365 day period. This shows me at glance which asset has done better and by how much.
It shows how the closing prices have changed from the start of your chosen period to now, by automatically drawing lines on the same scale.
Key Features:
Lookback Period: You decide how many bars (days, weeks, etc.) back to look from today.
Three Tickers: Enter up to three different ticker symbols to see how they stack up against each other
Percentage Change: The tool calculates how much each ticker's closing price has changed, in percentage terms, from the start of your lookback period.
Performance Labels: Labels at the end of the period show the percentage change for each ticker.
Important:
Ignore the lines that are drawn before your lookback period: The lines before your chosen lookback period might be misleading. They appear due to the way historical data is processed and should be ignored. Only consider the data and trends from the start of the lookback period you entered to the present for an accurate comparison.
Use this tool to easily compare how different assets have performed over the timeframe that matters to you.
Moving Average Bands with Signals [UAlgo]The "Moving Average Bands with Signals combines various moving average types with ATR-based bands to help traders identify potential support and resistance levels.
It plots moving average bands with upper and lower support/resistance levels based on the Average True Range (ATR) and user-defined settings.Additionally, the script generates buy/sell signals based on price crossing above or below the bands.
🔶 Key Features
Multiple Moving Average Types:
Supports various moving average calculations including Arnaud Legoux Moving Average (ALMA), Exponential Moving Average (EMA), Double Exponential Moving Average (DEMA), Triple Exponential Moving Average (TEMA), Kaufman Adaptive Moving Average (KAMA), Hull Moving Average (HMA), Least Squares Moving Average (LSMA), Simple Moving Average (SMA), Triangular Moving Average (TMA), Volume-Weighted Moving Average (VWMA), Weighted Moving Average (WMA), and Zero-Lag Moving Average (ZLMA).
Customizable ATR Bands:
Integrates the Average True Range (ATR) to calculate dynamic support and resistance bands around the moving average. The multiplier for the bands is user-adjustable, allowing for finer control over the sensitivity and width of the bands.
Signal Generation:
Provides visual signals on the chart when the price interacts with the support or resistance bands. Users can choose between using the wick or the close price to generate these signals, adding an extra layer of customization based on their trading style.
Flexible Input Parameters:
Allows users to input parameters for moving average length, ATR length, band multiplier, and signal type. Additional settings are available for specific moving average types, such as ALMA's offset and sigma, KAMA's fast and slow periods, and LSMA's offset.
🔶 Disclaimer
This script is provided for educational purposes only and should not be considered financial advice.
Trading financial instruments involves substantial risk and can result in significant financial losses.
The script’s performance in the past is not indicative of future results, and no guarantees are made regarding its accuracy, reliability, or performance.
