[blackcat] L2 Twisted Pair IndicatorOn the grand stage of the financial market, every trader is looking for a partner who can lead them to dance the tango well. The "Twisted Pair" indicator is that partner who dances gracefully in the market fluctuations. It weaves the rhythm of the market with two lines, helping traders to find the rhythm in the market's dance floor.
Imagine when the market is as calm as water, the "Twisted Pair" is like two ribbons tightly intertwined. They almost overlap on the chart, as if whispering: "Now, let's enjoy these quiet dance steps." This is the market consolidation period, the price fluctuation is not significant, traders can relax and slowly savor every detail of the market.
Now, let's describe the market logic of this code in natural language:
- **HJ_1**: This is the foundation of the market dance steps, by calculating the average price and trading volume, setting the tone for the market rhythm.
- **HJ_2** and **HJ_3**: These two lines are the arms of the dance partner, they help traders identify the long-term trend of the market through smoothing.
- **HJ_4**: This is a magnifying glass for market sentiment, it reveals the tension and excitement of the market by calculating the short-term deviation of the price.
- **A7** and **A9**: These two lines are the guide to the dance steps, they separate when the market volatility increases, guiding the traders in the right direction.
- **WATCH**: This is the signal light of the dance, when the two lines overlap, the market is calm; when they separate, the market is active.
The "Twisted Pair" indicator is like a carefully choreographed dance, it allows traders to find their own rhythm in the market dance floor, whether in a calm slow dance or a passionate tango. Remember, the market is always changing, and the "Twisted Pair" is the perfect dance partner that can lead you to dance out brilliant steps.
The script of this "Twisted Pair" uses three different types of moving averages: EMA (Exponential Moving Average), DEMA (Double EMA), and TEMA (Triple EMA). These types can be selected by the user through exchange input.
Here are the main functions of this code:
1. Defined the DEMA and TEMA functions: These two functions are used to calculate the corresponding moving averages. EMA is the exponential moving average, which is a special type of moving average that gives more weight to recent data. In the first paragraph, ema1 is the EMA of "length", and ema2 is the EMA of ema1. DEMA is 2 times of ema1 minus ema2.
2. Let users choose to use EMA, DEMA or TEMA: This part of the code provides an option for users to choose which type of moving average they want to use.
3. Defined an algorithm called "Twisted Pair algorithm": This part of the code defines a complex algorithm to calculate a value called "HJ". This algorithm involves various complex calculations and applications of EMA, DEMA, TEMA.
4. Plotting charts: The following code is used to plot charts on Tradingview. It uses the plot function to draw lines, the plotcandle function to draw candle (K-line) charts, and yellow and red to represent different conditions.
5. Specify colors: The last two lines of code use yellow and red K-line charts to represent the conditions of HJ_7. If the conditions of HJ_7 are met, the color of the K-line chart will change to the corresponding color.
在腳本中搜尋"algo"
TimeSeriesGrammianAngularFieldLibrary "TimeSeriesGrammianAngularField"
provides Grammian angular field and associated utility functions.
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Reference:
*Time Series Classification: A review of Algorithms and Implementations*.
www.researchgate.net
method normalize(data, a, b)
Normalize the series to a optional range, usualy within `(-1, 1)` or `(0, 1)`.
Namespace types: array
Parameters:
data (array) : Sample data to normalize.
a (float) : Minimum target range value, `default=-1.0`.
b (float) : Minimum target range value, `default= 1.0`.
Returns: Normalized array within new range.
___
Reference:
*Time Series Classification: A review of Algorithms and Implementations*.
normalize_series(source, length, a, b)
Normalize the series to a optional range, usualy within `(-1, 1)` or `(0, 1)`.\
*Note that this may provide a different result than the array version due to rolling range*.
Parameters:
source (float) : Series to normalize.
length (int) : Number of bars to sample the range.
a (float) : Minimum target range value, `default=-1.0`.
b (float) : Minimum target range value, `default= 1.0`.
Returns: Normalized series within new range.
method polar(data)
Turns a normalized sample array into polar coordinates.
Namespace types: array
Parameters:
data (array) : Sampled data values.
Returns: Converted array into polar coordinates.
polar_series(source)
Turns a normalized series into polar coordinates.
Parameters:
source (float) : Source series.
Returns: Converted series into polar coordinates.
method gasf(data)
Gramian Angular Summation Field *`GASF`*.
Namespace types: array
Parameters:
data (array) : Sampled data values.
Returns: Matrix with *`GASF`* values.
method gasf_id(data)
Trig. identity of Gramian Angular Summation Field *`GASF`*.
Namespace types: array
Parameters:
data (array) : Sampled data values.
Returns: Matrix with *`GASF`* values.
Reference:
*Time Series Classification: A review of Algorithms and Implementations*.
method gadf(data)
Gramian Angular Difference Field *`GADF`*.
Namespace types: array
Parameters:
data (array) : Sampled data values.
Returns: Matrix with *`GADF`* values.
method gadf_id(data)
Trig. identity of Gramian Angular Difference Field *`GADF`*.
Namespace types: array
Parameters:
data (array) : Sampled data values.
Returns: Matrix with *`GADF`* values.
Reference:
*Time Series Classification: A review of Algorithms and Implementations*.
Implied Orderblock Breaker (Zeiierman)█ Overview
The Implied Order Block Breaker (Zeiierman) is a tool designed to identify enhanced order blocks with imbalances. These enhanced order blocks represent areas where there is a rapid price movement. Essentially, this indicator uses order blocks and suggests that a swift price movement away from these levels, breaking the current market structure, could indicate an area that the market has not correctly valued. This technique offers traders a unique method to identify potential market inefficiencies and imbalances, serving as a guide for potential price revisits.
The indicator doesn't scan for imbalances in the traditional sense — where there's an absence of trades between two price levels — but instead, it identifies quick movements away from key levels that suggest where an imbalance might exist. Relying on crossovers and cross-unders in conjunction with pivot points and examining the high/low within the same period provides an innovative method for traders to spot these potentially undervalued or overvalued areas in the market. These inferred imbalances can be crucial for traders looking for price levels where the market might make significant moves.
█ How It Works
Bullish
Crossover: The closing price of a bar crosses above a pivot high, which is an indication that buyers are in control and pushing the price upwards.
New Low Within Period: There is a lower low within the same period as the pivot high. This suggests that after setting a high, the market pulled back to set a new low, potentially leaving a price gap on the way up as the price quickly recovers.
Bearish
Crossunder: The closing price of a bar crosses under a pivot low, indicating that sellers are taking control and driving the price down.
New High Within Period: There is a higher high within the same period as the pivot low. This condition suggests that the market rallied to a new high before falling back below the pivot low, potentially leaving a gap on the way down.
█ How to Use
The enhanced order blocks are often revisited, and the price may aim to 'fill' the potential imbalance created by the rapid price movement, thereby presenting traders with potential entry or exit points. This approach aligns with the idea that imbalances are frequently revisited by the market, and when combined with the context of Order Blocks, it provides even more confluence.
Example
Here, if the price drops rapidly after setting a new high—crossing under the pivot low—it may skip over certain price levels, creating a 'gap' that signifies an area where the price might have been overvalued (imbalance), which the market may revisit for a potential price correction or revaluation.
█ Settings
Period: Determines the number of bars used for identifying pivot highs and lows. A higher value gives more significant but less frequent signals, while a lower value increases sensitivity but might give more false positives.
Pivot Surrounding: Specifies the number of candles to analyze around a pivot point. Increasing this value broadens the analysis range, potentially capturing more setups but possibly including less significant ones.
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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!
TimeSeriesClassificationActivationFunctionsLibrary "TimeSeriesClassificationActivationFunctions"
Provides some activation functions useful in time series classification.
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reference:
github.com
method scale(dist, weights)
Activate values by a normalized scale.
Namespace types: map
Parameters:
dist (map) : Source distribution map.
weights (map) : Weights distribution map.
Returns: Normalized distribution map.
method softmax(dist, weights)
Activate values with a softmax algorithm.
Namespace types: map
Parameters:
dist (map) : Source distribution map.
weights (map) : Weights distribution map.
Returns: Normalized distribution map.
method argmax(dist, weights)
Activate values with a argmax algorithm.
Namespace types: map
Parameters:
dist (map) : Source distribution map.
weights (map) : Weights distribution map.
Returns: first key of argmax value of the transformed distribution.
Golden Swap (Zeiierman)█ Overview
The Golden Swap indicator, as designed by Zeiierman, focuses on identifying reversal points around the key levels indicated by the indicator. This pattern works by analyzing the relationship between current and past price movements, considering factors like price symmetry, baseline boundaries, and precision pin bar formations. It can offer insights into potential market reversals, allowing for more precise entries and exits.
█ How It Works
Golden Swap Long
In a market with bullish momentum, we expect the price to dip a bit before it continues to rise again. This dip is like a small retreat in an overall march upwards. So, the pattern aims to assess whether the current period's dip is relatively shallow, indicating that the overall bullish momentum remains robust despite temporary price fluctuations.
Golden Swap Short
In a market with bearish momentum (indicating selling pressure or bearish sentiment), we may still see the price rise a bit before continuing its drop. This temporary rise is like a slight bounce in an overall downward movement. In simpler terms, even when the price bounces up a bit, it's not strong enough to overcome the recent pressure of selling. The sellers are still dominating, and the price will likely continue to drop.
█ The signal is reinforced by symmetry, BaselineBound criteria, and a bearish Precision PinBar.
⚪ Symmetry in Price Movements: The pattern uses the Symmetry Precision filter to analyze the symmetry of recent price movements. This helps in determining the likelihood of a reversal. A high degree of symmetry suggests a more reliable reversal signal.
⚪ BaselineBound Criteria: This component involves the BaselineBound Threshold, which acts as a filter to validate the strength of the potential reversal. Bullish and bearish conditions are assessed based on how the current close price compares to a calculated range around the high and low of the previous period.
⚪ Precision PinBar Analysis: The pattern also incorporates the Precision PinBar filter, which evaluates the characteristics of the recent price bars. A Precision PinBar is a candlestick with a small body and a long tail, indicating a potential reversal.
⚪ Display of Key Levels: The indicator can show Open, High, and Low levels for selected timeframes, helping traders identify key price points.
█ How to Use
The Golden Swap pattern is a valuable confirmation tool, particularly around key levels or session highs and lows. It highlights instances where a previous high or low has been respected, followed by a price reversal—flipping back up in an upward trend (Golden Swap Long) or flipping back down in a downward trend (Golden Swap Short). When this pattern emerges near a key level, it strongly suggests that the price will continue moving in the direction indicated by the current trend.
Consider it akin to a minor liquidity hunt above the previous high or below the previous low. The presence of the Golden Swap pattern, especially when aligned with other indicators and filters, enhances its reliability as a signal for the continuation of the prevailing market trend.
█ Settings
Timeframe Selection: Choose from various timeframes for signal calculation.
Filter Adjustments: Fine-tune the Symmetry Precision, BaselineBound Threshold, and Precision PinBar settings to filter signals according to specific criteria.
Display Options for Key Levels: Enable or disable the display of key price levels and select timeframes for these levels.
█ Related script using the same pattern filtering techniques
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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!
PinBar and Bloom Pattern Concept (Zeiierman)█ Overview
The Precision PinBar and Bloom Pattern Concept by Zeiierman introduces two new patterns, which we call the Bloom Pattern and the Precision PinBar Pattern. These patterns are used in conjunction with market open, high, and low values from different periods and timeframes. Together, they form the basis of the "PinBar and Bloom Pattern Concept." The main idea is to identify key bullish and bearish candlestick patterns around key levels plotted on the chart.
The key levels are the Open, High, and Low from the current and previous periods of the selected timeframe. Users can choose how many previous periods to be drawn on the chart.
█ How It Works
The indicator operates by analyzing market data over selected timeframes. It uses inputs such as previous period open-high-low lines, timeframe selections, and pattern detection settings like Symmetry Precision and Range Threshold. These parameters allow the indicator to identify specific market conditions, including symmetrical movements in price and significant price range deviations, which form the basis of the Bloom and Precision PinBar patterns.
Symmetry Signal:
Purpose: To detect symmetry in price movements based on a precision threshold.
How It Works: This function calculates the symmetry of high and low prices within the specified precision. It returns two boolean values indicating whether the high and low prices are within the symmetry precision.
BaselineBound Pattern:
Purpose: To identify bullish or bearish patterns based on a range factor.
How It Works: The function calculates whether the current close price is within a certain range of the high-low difference of the previous period. It returns bullish and bearish signals based on these calculations.
█ ● Bloom Pattern
The Bloom Pattern is a unique candlestick pattern designed to identify significant trend reversals or continuations. It's not a single candlestick formation but a combination of a few elements that signal a potential strong move in the market.
⚪ Previous and Current Candle Analysis: The Bloom Pattern looks at the relationship between the current candle and the previous one. It checks whether the current candle's body (the range between its opening and closing prices) fully encompasses the body of the previous candle. This condition is known as "embodying."
⚪ Baseline Bound: The Baseline Bound concept involves comparing the closing price to a range established by the high and low of the previous candle, adjusted by a factor (the rangeFactor). This helps in identifying if the current price is showing a bullish or bearish tendency relative to the previous period's price movement.
⚪ Symmetry Signal: Additionally, it uses the Symmetry Signal, which measures the symmetry between the high and low prices of two consecutive candles.
⚪ Bullish and Bearish Signals: The combination of these conditions (embodying, baseline bound, and symmetry) results in either a bullish or bearish signal. A bullish signal suggests a potential upward trend, while a bearish signal indicates a possible downward trend.
█ ● Precision PinBar Pattern
The Precision PinBar Pattern is a refined version of the traditional Pin Bar, a well-known candlestick pattern used in trading. This pattern focuses on identifying market reversals with a high degree of accuracy.
⚪ Identification of Pin Bars: The function first identifies a pin bar, characterized by a small body and a long wick. The long wick indicates a rejection of certain price levels, and the small body shows little change between the opening and closing prices.
⚪ Tail and Body Length Analysis: The script calculates the length of the bar's tail (wick) and compares it to the length of the body. A qualifying pin bar typically has a tail at least three times longer than its body, suggesting a strong rejection of prices.
⚪ Positioning and Thresholds:
Open-Close Position: The function checks whether the opening and closing prices are within a certain threshold of the high or low of the bar, which helps in distinguishing between bullish and bearish pin bars.
⚪ Baseline Bound and Symmetry: Like the Bloom Pattern, it incorporates Baseline Bound and Symmetry Signal concepts to validate the significance of the pin bar.
⚪ Bullish and Bearish Signals: Depending on these factors, a bullish or bearish pin bar is identified. A bullish PinBar suggests potential upward price movement, while a bearish PinBar indicates possible downward price movement.
█ How to Use
Using the Bloom and Precision PinBar patterns in conjunction with key market levels, such as previous highs and lows, can be a powerful strategy for traders. These market levels often act as significant points of support and resistance, and combining them with the patterns can offer strong trade signals. Here's how traders can effectively utilize these patterns:
Identifying Key Market Levels
Previous Highs and Lows: These are the highest and lowest points reached in previous trading periods and are often considered strong levels of resistance (in the case of previous highs) and support (in the case of previous lows).
Using the Bloom Pattern
Near Previous Highs (Resistance): If a Bloom Pattern emerges near a previous high, it could indicate a potential bearish reversal. Traders might interpret this as a signal to consider short positions, especially if the pattern shows bearish characteristics.
Near Previous Lows (Support): Conversely, a bullish Bloom Pattern near a previous low could suggest a trend reversal to the upside. This could be a signal for traders to consider long positions.
Using the Precision PinBar Pattern
Precision PinBar at Resistance: A bearish Precision PinBar appearing near a previous high can be a strong signal for a potential downward move. This setup is often used by traders to enter short positions, anticipating a price rejection at this resistance level.
Precision PinBar at Support: Similarly, a bullish Precision PinBar at or near a previous low suggests that the market is rejecting lower prices, indicating potential upward momentum. This is typically used by traders as a cue to go long.
█ Settings
Previous Open-High-Low Lines: Determine the number of historical periods to analyze. Settings include toggling the visibility of lines and labels and specifying the number of periods.
Timeframe & Current Period: Select the timeframe for current market analysis. Options include different timeframes (e.g., 1H, 1D) and customization of line styles and colors.
Pattern Settings: Adjust the Symmetry Precision and Range Threshold to fine-tune the indicator's sensitivity to specific market movements.
Bloom & Precision PinBar Pattern: Enable or disable the detection of specific patterns and customize the visual representation of these patterns on the chart.
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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!
Dividend Calendar (Zeiierman)█ Overview
The Dividend Calendar is a financial tool designed for investors and analysts in the stock market. Its primary function is to provide a schedule of expected dividend payouts from various companies.
Dividends, which are portions of a company's earnings distributed to shareholders, represent a return on their investment. This calendar is particularly crucial for investors who prioritize dividend income, as it enables them to plan and manage their investment strategies with greater effectiveness. By offering a comprehensive overview of when dividends are due, the Dividend Calendar aids in informed decision-making, allowing investors to time their purchases and sales of stocks to optimize their dividend income. Additionally, it can be a valuable tool for forecasting cash flow and assessing the financial health and dividend-paying consistency of different companies.
█ How to Use
Dividend Yield Analysis:
By tracking dividend growth and payouts, traders can identify stocks with attractive dividend yields. This is particularly useful for income-focused investors who prioritize steady cash flow from their investments.
Income Planning:
For those relying on dividends as a source of income, the calendar helps in forecasting income.
Trend Identification:
Analyzing the growth rates of dividends helps in identifying long-term trends in a company's financial health. Consistently increasing dividends can be a sign of a company's strong financial position, while decreasing dividends might signal potential issues.
Portfolio Diversification:
The tool can assist in diversifying a portfolio by identifying a range of dividend-paying stocks across different sectors. This can help mitigate risk as different sectors may react differently to market conditions.
Timing Investments:
For those who follow a dividend capture strategy, this indicator can be invaluable. It can help in timing the buying and selling of stocks around their ex-dividend dates to maximize dividend income.
█ How it Works
This script is a comprehensive tool for tracking and analyzing stock dividend data. It calculates growth rates, monthly and yearly totals, and allows for custom date handling. Structured to be visually informative, it provides tables and alerts for the easy monitoring of dividend-paying stocks.
Data Retrieval and Estimation: It fetches dividend payout times and amounts for a list of stocks. The script also estimates future values based on historical data.
Growth Analysis: It calculates the average growth rate of dividend payments for each stock, providing insights into dividend consistency and growth over time.
Summation and Aggregation: The script sums up dividends on a monthly and yearly basis, allowing for a clear view of total payouts.
Customization and Alerts: Users can input custom months for dividend tracking. The script also generates alerts for upcoming or current dividend payouts.
Visualization: It produces various tables and visual representations, including full calendar views and income tables, to display the dividend data in an easily understandable format.
█ Settings
Overview:
Currency:
Description: This setting allows the user to specify the currency in which dividend values are displayed. By default, it's set to USD, but users can change it to their local currency.
Impact: Changing this value alters the currency denomination for all dividend values displayed by the script.
Ex-Date or Pay-Date:
Description: Users can select whether to show the Ex-dividend day or the Actual Payout day.
Impact: This changes the reference date for dividend data, affecting the timing of when dividends are shown as due or paid.
Estimate Forward:
Description: Enables traders to predict future dividends based on historical data.
Impact: When enabled, the script estimates future dividend payments, providing a forward-looking view of potential income.
Dividend Table Design:
Description: Choose between viewing the full dividend calendar, just the cumulative monthly dividend, or a summary view.
Impact: This alters the format and extent of the dividend data displayed, catering to different levels of detail a user might require.
Show Dividend Growth:
Description: Users can enable dividend growth tracking over a specified number of years.
Impact: When enabled, the script displays the growth rate of dividends over the selected number of years, providing insight into dividend trends.
Customize Stocks & User Inputs:
This setting allows users to customize the stocks they track, the number of shares they hold, the dividend payout amount, and the payout months.
Impact: Users can tailor the script to their specific portfolio, making the dividend data more relevant and personalized to their investments.
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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!
Fear & Greed Index (Zeiierman)█ Overview
The Fear & Greed Index is an indicator that provides a comprehensive view of market sentiment. By analyzing various market factors such as market momentum, stock price strength, stock price breadth, put and call options, junk bond demand, market volatility, and safe haven demand, the Index can depict the overall emotions driving market behavior, categorizing them into two main sentiments: Fear and Greed.
Fear: Indicates a market scenario where investors are scared, possibly leading to a sell-off or a stagnant market. In such conditions, the indicator helps in identifying potential buying opportunities as assets may be undervalued.
Greed: Represents a state where investors are overly confident and buying aggressively, which can lead to inflated asset prices. The indicator in such cases can signal overbought conditions, advising caution or potential short opportunities.
█ How It Works
The Fear & Greed Index is an aggregate of seven distinct indicators, each gauging a specific dimension of stock market activity. These indicators include market momentum, stock price strength, stock price breadth, put and call options, junk bond demand, market volatility, and safe haven demand. The Index assesses the deviation of each individual indicator from its average, in relation to its typical fluctuations. In compiling the final score, which ranges from 0 to 100, the Index assigns equal weight to each indicator. A score of 100 denotes the highest level of Greed, while a score of 0 represents the utmost level of fear.
S&P 500's Momentum: The Index monitors the S&P 500's position relative to its 125-day moving average. Positive momentum (price above the average) signals growing confidence among investors (Greed), while negative momentum (price below the average) indicates rising fear.
Stock Price Strength: By comparing the number of stocks hitting 52-week highs to those at 52-week lows on the NYSE, the Index gauges market breadth. An extreme number of highs indicates Greed, whereas an extreme number of lows suggests Fear.
Stock Price Breadth (Market Volume): Using the McClellan Volume Summation Index, which considers the volume of advancing versus declining stocks, the Index assesses whether the market is broadly participating in a trend, or if a smaller subset of stocks is driving it.
Put and Call Options: The put/call ratio helps gauge investor sentiment. A rising ratio, particularly above 1, indicates increasing fear, as more investors are buying puts to protect against a decline. A falling ratio suggests growing confidence.
Market Volatility (VIX): The VIX measures expected market volatility. Higher values generally indicate Fear, while lower values point to Greed. The Fear & Greed Index compares the VIX to its 50-day moving average to understand its trend.
Safe Haven Demand: The performance of stocks versus bonds over a 20-day period helps understand where investors are putting their money. Bonds outperforming stocks is a sign of Fear, while the opposite suggests Greed.
Junk Bond Demand: By comparing the yields on junk bonds to safer investment-grade bonds, the Index gauges risk appetite. A narrower yield spread suggests Greed (investors are taking more risk), while a wider spread indicates Fear.
The Fear & Greed Index combines these components, scales, and averages them to produce a single value between 0 (Extreme Fear) and 100 (Extreme Greed).
█ How to Use
The Fear & Greed Index serves as a tool to evaluate the prevailing sentiments in the market. Investors, often driven by emotions, can react impulsively, and sentiment indicators like the Fear & Greed Index aim to highlight these emotional states, helping investors recognize personal biases that might impact their investment choices. When integrated with fundamental analysis and additional analytical instruments, the Index becomes a valuable resource for understanding and interpreting market moods and tendencies.
The Fear & Greed Index operates on the principle that excessive fear can result in stocks trading well below their intrinsic values,
while uncontrolled Greed can push prices above what they should be.
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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!
Gap Statistics (Zeiierman)█ Overview
The Gap Statistics (Zeiierman) indicator is crafted to monitor, analyze, and visually present price gaps on a trading chart. Price gaps are areas on a chart where the price jumps up or down from the previous close to the next open, creating a "gap" in the normal price pattern. This script delivers an extensive range of statistics related to these gaps, encompassing their size, direction (whether bullish or bearish), frequency of getting filled, as well as the average number of bars it takes for a gap to be filled. The indicator also visually represents the gaps, making it easier for traders to spot and analyze them.
█ How It Works
Gap Identification: The script identifies gaps by comparing the open price of a bar to the close price of the previous bar. If there is a discrepancy between the two, it is recognized as a gap.
Gap Classification: Once a gap is identified, it is classified based on its size (as a percentage of the previous close price) and direction (bullish or bearish). The gap is then added to a specific category based on its size.
Gap Tracking: The script keeps track of all identified gaps using arrays and user-defined types, storing details like their size, direction, and whether they have been filled.
Gap Filling: The script continuously monitors the price to check if any previously identified gaps get filled. A gap is considered filled if the price moves back into the gap area.
Statistics and Alerts: The script calculates various statistics like the total number of gaps, the number of filled gaps, the average number of bars it takes for a gap to fill, and the percentage of gaps that get filled. It also generates alerts when a new gap is identified or an existing gap gets filled.
█ How to Use
Gaps are often classified into four main types:
Common Gaps: These are not associated with any major news and are likely to get filled quickly.
Breakaway Gaps: These occur at the end of a price pattern and signal the beginning of a new trend.
Runaway Gaps: Also known as continuation gaps, these occur in the middle of a trend and signal a surge in interest in the stock.
Exhaustion Gaps: These occur near the end of a price pattern and signal a final attempt to hit new highs or lows.
The Gap Statistics (Zeiierman) indicator enhances a trader's ability to use gaps in their trading strategy in several ways:
Statistical Analysis: Traders get comprehensive statistics on gaps, such as their size, direction, and how often they get filled.
Performance Tracking: The indicator tracks how many bars it typically takes for a gap to fill, providing traders with an average timeframe for gap closure.
█ Settings
Display Gaps: Choose to display "All Gaps," "Active Gaps," or "None."
Show Gap Size: Toggle on/off the display of the gap size.
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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!
Volatility Trend (Zeiierman)█ Overview
The Volatility Trend (Zeiierman) is an indicator designed to help traders identify and analyze market trends based on price volatility. By calculating a dynamic trend line and volatility-adjusted bands, the indicator provides visual cues to understand the current market direction, potential reversal points and volatility.
█ How It Works
The indicator uses a weighted moving average of historical prices to create a responsive trend line that is adjusted for volatility using standard deviation. The indicator sets upper and lower bands at intervals of two standard deviations, acting as markers for potential overbought or oversold conditions. Additionally, by comparing current and previous trend line values, the indicator identifies the trend direction, providing crucial insights for traders.
█ How to Use
Trend Identification
Use the trend line to identify the overall market direction. An upward-sloping line indicates an uptrend, while a downward-sloping line indicates a downtrend.
Volatility Assessment
Use the distance between the upper and lower bands to gauge market volatility. Wider bands indicate higher volatility, while narrower bands indicate lower volatility.
Overbought/Oversold
If the price reaches or exceeds the upper or lower bands, it may be in an overbought or oversold condition, respectively.
█ Settings
Trend Control: Adjusts the sensitivity and smoothness of the trend line. Lower values make the trend more responsive, while higher values make it smoother.
Trend Dynamic: Controls how quickly the trend adjusts to price changes. Higher values result in a slower adjustment.
Volatility: Consists of two parts - the scaling factor for volatility and the sensitivity for volatility adjustment. Adjusting these settings alters the distance between the trend lines and the price, as well as how sensitive the bands are to changes in volatility.
Squeeze Control: Influences the degree to which market squeeze is considered in the calculation, with higher values increasing sensitivity.
Enable Scalping Trend: A toggle that, when activated, makes the indicator focus on short-term trends, which is particularly useful for scalping strategies.
█ Related scripts with the same calculation philosophy
TrendCylinder
TrendSphere
Predictive Trend and Structure
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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!
Curved Management (Zeiierman)█ Overview
The Curved Management (Zeiierman) is a trade management indicator tailored for traders looking to visualize their entry, stop loss, and take profit levels. Unique in its design, this indicator doesn't just display lines; it offers rounded or curved visualizations, setting it apart from conventional tools.
█ How It Works
At its core, this indicator leverages the power of the Average True Range (ATR), a metric for volatility, to establish logical stop-loss levels based on recent price action. By incorporating the ATR, the tool dynamically adapts to the market's changing volatility. What sets it apart is the unique curved visualization. Instead of the usual straight lines representing entry/sl levels, users can choose between rounded and straight edges for their take profit and stop loss levels. This aesthetic tweak gives the chart a cleaner look and offers a more intuitive understanding of risk management.
█ How to Apply the Indicator
Upon initially loading the indicator, a label appears that reads, "Set the 'xy' time and price for 'Curved Management (Zeiierman).'" This prompts you to click on the chart at your entry point. After selecting your entry point on the chart, the indicator will load. Ensure you adjust the trend direction in the settings panel based on whether you took a long or short position.
█ How to Use
Use the tool to manage your active position.
Long Entry
Short Entry
█ Settings
The indicator comes packed with various settings allowing customization:
Trade Direction
Decide the direction of the trade (long/short).
Reward multiplier
Sets the ratio for take profit relative to stop loss. Increasing this value will set your take profit further from the entry, and decreasing it will bring it closer.
Risk multiplier
Multiplier for calculating stop loss based on the ATR value. Increasing this makes your stop loss further from the entry, while decreasing brings it closer.
█ Related Free Scripts
Trade & Risk Management Tool
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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!
TrendSphere (Zeiierman)█ Overview
TrendSphere is designed to capture and visualize market trends and volatility effectively. It combines various volatility measures and trend analysis techniques, producing dynamic bands and a central trend line on the price chart. Its essence is to offer a real-time, reliable estimate of the underlying linear trend in the price.
█ How It Works
Real-Time Trend Estimation
At its core, TrendSphere is designed to offer instantaneous and accurate insights into the inherent linear trend of asset prices. By continually updating its estimations, it ensures traders are equipped with the most current data. This allows the construction of support and resistance bands around the estimated trend, providing trading opportunities.
Dynamic Bands and Trend Line
TrendSphere plots a central trend line and dynamic bands around it on the price chart. Influenced by volatility, the distance between these elements offers a clear view of market conditions and the strength or weakness of trends. These bands not only depict potential turning points but also offer traders valuable opportunities to trade within the confines of the overarching trend.
Volatility Measures
Traders can select their preferred volatility measure and adjust settings to best fit their analysis needs. The bands and trend line dynamically respond to these selections, offering a tailored view of market conditions.
ATR (Average True Range): Reflects market volatility by evaluating the range between high and low prices.
Historical Volatility: Computes price variability using the standard deviation of log returns.
Bollinger Band Width: Measures the distance between Bollinger Bands, providing another angle on market volatility.
Eliminating Common Complications
One of the standout features of TrendSphere is its ability to determine linear price trends without falling prey to challenges like backpainting or repainting. In layman's terms, this means traders get a more trustworthy and unaltered view of price movements, leading to enhanced decision-making in line with the genuine trajectory of price trends.
█ How to Use
Trend Analysis
Observe the central trend line; its direction indicates the prevailing trend. When the price is above the trend line, it suggests an upward trend, and when it's below, it indicates a downward trend.
Volatility Analysis
Wider bands imply higher market volatility, suggesting larger price swings, while narrower bands indicate lower volatility. Traders can use the bands to identify potential reversal points and overbought/oversold conditions.
Potential Trading Signals (Using Bollinger bandwidth as volatility measure)
Consider buying when the price is above the trend line with narrowing bands, suggesting a strong upward trend.
Consider selling when the price is below the trend line with narrowing bands, indicating a strong downward trend.
█ Settings
Select Volatility Measure
Choose the desired volatility measure: ATR, Historical Volatility, or Bollinger Band Width.
Volatility Scaling Factor
Adjusts the scale of the volatility measure, influencing the width of the bands.
Volatility Strength
Modifies the influence of volatility on the bands, adjusting their responsiveness to volatility changes.
Length
Defines the number of periods used in calculating the selected volatility measure, impacting the stability and responsiveness of the bands.
Trend Sensitivity
Adjusts the sensitivity of the trend component, affecting how quickly it reacts to price changes.
█ Related scripts with the same calculation philosophy
TrendCylinder
Predictive Trend and Structure
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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!
LTF Candle Insights (Zeiierman)█ Overview
The LTF Candle Insights indicator allows traders to explore the finer details of the market by integrating lower time frame (LTF) data into their current chart, offering a more detailed and nuanced view of price movements. This comprehensive visual tool is crucial for traders who want to investigate complex market trends without the constant need to switch between different chart timeframes.
In essence, this indicator overlays the smaller details into the broader frame, enabling traders to grasp the fine points while examining the larger market picture.
█ How It Works
The LTF Candle Insights indicator easily puts LTF candles onto the current chart, allowing traders to see both the current timeframe and the chosen lower timeframe candles at the same time. This dual view helps traders see the main market trends and important price levels, helping them get a better understanding of the little details and complexities of the market.
█ How to Use
Trend Analysis
Traders can use this indicator to look closely at smaller market trends by comparing LTF candles with the candles of the current timeframe. Knowing the trends in LTF helps traders make trades that go along with the small market movements.
Support and Resistance Identification
By looking at the high, low, and middle levels of LTF candles, traders can find possible support and resistance areas. This detailed look helps traders pick the best times to enter or exit trades, set up stop-losses effectively, and manage risk carefully.
█ Settings
Lower Timeframe and Candle Amount
Users can determine the lower timeframe and the number of LTF candles they wish to observe on their current chart.
Range Lines
The high/low range of the illustrated candles and the optional mid-range line can be displayed, granting insights into significant price levels and ranges.
Table Display
A summary table can be displayed, outlining details of the current chart's timeframe and the chosen LTF, providing a succinct overview for traders.
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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!
Predictive Trend and Structure (Expo)█ Overview
The Predictive Trend and Structure indicator is designed for traders seeking to identify future trend directions and interruptions in trend continuation. This indicator is unique because it employs standard deviation to predict upcoming trend directions and potential trend continuation levels. This enables traders to stay ahead of the market.
█ How It Works
This indicator primarily functions based on the calculated standard deviation of the trend over a specified period. It evaluates the trend direction by comparing the current trend value to its previous one and scales the standard deviation, allowing for adjustments in sensitivity to price fluctuations.
█ How to Use
Trend
You can easily identify when a future trend begins by observing where the trend level is displayed. If the price breaks above and remains above the trend, it indicates a bullish trend. Conversely, if the price breaks below and stays below, it signifies a bearish trend.
Support and Resistance
With the Predictive Structure enabled, the indicator aids in identifying potential support and resistance levels.
Trend Continuation Break
Trend continuation breaks occur when prices breaks support or resistance, indicating the existing trend may persist. The indicator plots these levels in advance, allowing traders to quickly identify where trend continuation might occur.
█ Settings
Period for Std Dev: Determines the number of periods used for the standard deviation calculation, impacting the indicator's sensitivity to price changes.
Standard Deviation Scaler: Scales the computed standard deviation, affecting the deviations needed to confirm trends and the indicator's focus on significant trend changes.
Predictive Structure: Enables or disables the prediction of market structures like potential levels of structure breaks/trend continuation breaks.
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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!
HTF Candle Insights (Expo)█ Overview
The HTF Candle Insights indicator helps traders see what's happening in larger time frames (HTF) while they're looking at smaller ones. This tool lets traders get a complete picture of market trends and price movements, helping them make smarter trading choices. It's really useful for traders who want to understand the main market trends without constantly switching between different chart timeframes.
In simpler terms , this indicator brings the big picture into the smaller frame, so traders don't miss out on what's important while focusing on the details.
█ How It Works
The indicator plots HTF candles on the existing chart, allowing users to view them concurrently with the candles of the current timeframe. This dual visual representation helps in discerning the prevalent market trends and significant price levels from both the current and higher timeframes.
█ How to Use
Trend Analysis
Traders can leverage this indicator to analyze overall market trends by observing HTF candles alongside the current timeframe candles. Recognizing HTF trends aids in aligning trades with the dominant market movement, potentially increasing the probability of successful trades.
Support and Resistance Identification
By viewing the high, low, and mid-levels of HTF candles, traders can identify potential support and resistance zones, enabling them to establish strategic entry and exit points, place stop-losses effectively, and manage risk proficiently.
█ Settings
Timeframe and Candle Amount:
Users can specify the higher timeframe and the number of HTF candles they wish to visualize on their current chart.
Visual Adjustments:
Traders can customize the color schemes for upward and downward candles and their wicks, and adjust the visibility and colors of the range lines, allowing for a tailored visual experience.
Range Lines:
Users have the option to display the high/low range of the displayed candles, and, if preferred, the mid-range line, enabling them to gain insights into significant price levels and ranges.
Table Display:
The indicator offers the ability to display a table, which provides an overview of the current chart's timeframe and the specified HTF.
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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!
Position Cost DistributionThe Position Cost Distribution indicator (also known as the Market Position Overview, Chip Distribution, or CYQ Algorithm) provides an estimate of how shares are distributed across different price levels. Visually, it resembles the Volume Profile indicator, though they rely on distinct computational approaches.
🟠 Principle
The Position Cost Distribution algorithm is based on the principle that a security's total shares outstanding usually remains constant, except under conditions like stock splits, reverse splits, or new share issuance. It views all trading activity as simply exchanging share positions between holders at different price points.
By analyzing daily trade volume and the prior day's distribution, the algorithm infers the resulting share distribution after each day. By tracking these inferred transpositions over time, the indicator builds up an aggregate view of the estimated share concentration at each price level. This provides insights into potential buying and selling pressure zones that could form support or resistance areas.
Together with the Volume Profile, the Position Cost Distribution gives traders multiple lenses for examining market structure from both a volume and positional standpoint. Both can help identify meaningful technical price levels.
🟠 Algorithm
The algorithm initializes by allocating all shares to the price range encompassed by the first bar displayed on the chart. Preferably, the chart window should include the stock's IPO date, allowing the model to distribute shares specifically to the IPO price.
For subsequent trading sessions, the indicator performs the following calculations:
1. The daily turnover ratio is calculated by dividing the bar's trading volume by total outstanding shares.
2. For each price level (bucket), the number of shares is reduced by the turnover amount to represent shares transferring from existing holders.
3. The bar's total volume is then added to buckets corresponding to that period's price range.
Currently, the model assumes each share has an equal probability of being exchanged, regardless of how long ago it was acquired or at what price. Potential optimizations could incorporate factors like making shares held longer face a smaller chance of transfer compared to more recently purchased shares.
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中文介绍：该指标为“筹码分布”的一个 TradingView 实现 :)
Fibonacci Oscillator (Expo)█ Overview
The Fibonacci Oscillator is a multi-faceted oscillator designed to provide traders with a comprehensive understanding of market trends and retracement points. Built on the Fibonacci ratios, it combines the functionalities of popular oscillators like RSI and MACD with unique insights into the market structure. This oscillator not only helps identify trend direction but also pinpoints overbought and oversold levels, making it an essential tool for various trading strategies.
█ How to Use
Identify Trends
Use the oscillator to identify the direction of the market trend.
Identify Retracements
Use the oscillator to identify the retracements.
█ Settings
Fibonacci Settings
These settings let you customize the Fibonacci level to focus on, thereby allowing you to tailor the oscillator according to your trading preferences.
Oscillator Settings
You can also choose between different oscillator types (RSI, MACD, Histogram) and adjust their respective settings like lengths, signals, and colors.
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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!
TrendCylinder (Expo)█ Overview
The TrendCylinder is a dynamic trading indicator designed to capture trends and volatility in an asset's price. It provides a visualization of the current trend direction and upper and lower bands that adapt to volatility changes. By using this indicator, traders can identify potential breakouts or support and resistance levels. While also gauging the volatility to generate trading ranges. The indicator is a comprehensive tool for traders navigating various market conditions by providing a sophisticated blend of trend-following and volatility-based metrics.
█ How It Works
Trend Line: The trend line is constructed using the closing prices with the influence of volatility metrics. The trend line reacts to sudden price changes based on the trend factor and step settings.
Upper & Lower Bands: These bands are not static; they are dynamically adjusted with the calculated standard deviation and Average True Range (ATR) metrics to offer a more flexible, real-world representation of potential price movements, offering an idea of the market's likely trading range.
█ How to Use
Identifying Trends
The trend line can be used to identify the current market trend. If the price is above the trend line, it indicates a bullish trend. Conversely, if the price is below the trend line, it indicates a bearish trend.
Dynamic Support and Resistance
The upper and lower bands (including the trend line) dynamically change with market volatility, acting as moving targets of support and resistance. This helps set up stop-loss or take-profit levels with a higher degree of accuracy.
Breakout vs. Reversion Strategies
Price movements beyond the bands could signify strong trends, making it ideal for breakout strategies.
Fakeouts
If the price touches one of the bands and reverses direction, it could be a fakeout. Traders may choose to trade against the breakout in such scenarios.
█ Settings
Volatility Period: Defines the look-back period for calculating volatility. Higher values adapt the bands more slowly, whereas lower values adapt them more quickly.
Trend Factor: Adjusts the sensitivity of the trend line. Higher values produce a smoother line, while lower values make it more reactive to price changes.
Trend Step: Controls the pace at which the trend line adjusts to sudden price movements. Higher values lead to a slower adjustment and a smoother line, while lower values result in quicker adjustments.
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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!
Key Levels (Daily Percentages)OVERVIEW
This indicator automatically identifies and progressively draws daily percentage levels, normalized to the first market bar.
Percentages are one of the most common ways to measure price movement (outside price itself). Being able to visually reference these levels helps contextualize price action, in addition to giving us a glimpse into how algos might "see" the market.
This script is most useful on charts with smaller time frames (1 to 5 minutes). This is not ideal for medium or larger time frames (greater than 5 minutes).
INPUTS
You can configure:
• Line size, style, colors and maximum length
• Label colors and visibility
• Fractional and intra level visibility
• Bidirectional zone parameters (custom range and extended anomalies)
• Normalization source
• Price Proximity features
• Market Hours and Time Zone
INSPIRATION
Broad Assumptions:
• +/- 70% of days move 1%, 20% of days move 1-2%, and 10% of days have moves exceeding 2%.
• +/- 10-20% of days trend, with moves ≥ 1%.
• All trading strategies are effectively scalping, mean reversion, or trend.
• Humans program algos to capitalize on these assumptions, using percentages to mange / execute trades.
Candles In Row (Expo)█ Overview
The Candles In Row (Expo) indicator is a powerful tool designed to track and visualize sequences of consecutive candlesticks in a price chart. Whether you're looking to gauge momentum or determine the prevailing trend, this indicator offers versatile functionality tailored to the needs of active traders. The Candles In Row indicator can be an integral part of a multi-timeframe trading strategy, allowing traders to understand market momentum, and set trading bias. By recognizing the patterns and likelihood of future price movements, traders can make more informed decisions and align their trades with the overall market direction.
█ How to use
The indicator enhances traders' understanding of the consecutive candle patterns, helping them to uncover trends and momentum. Consecutive candles in the same direction may indicate a strong trend. The Candles In Row indicator can be an essential tool for traders employing a multiple timeframes strategy.
Analyzing a Higher Timeframe:
Understanding Momentum: By analyzing consecutive green or red candles in a higher timeframe, traders can identify the prevailing momentum in the market. A series of green candles would suggest an upward trend, while a series of red candles would indicate a downward trend.
Predicting Next Candle: The indicator's predictive feature calculates the likelihood of the next candle being green or red based on historical patterns. This probability helps traders gauge the potential continuation of the trend.
Setting the Trading Bias: If the likelihood of the next candle being green is high, the trader may decide to focus on long (buy) opportunities. Conversely, if the likelihood of the next candle being red is high, the trader may look for short (sell) opportunities.
In this example, we are using the Heikin Ashi candles.
Moving to a Lower Timeframe:
Finding Entry Points: Once the trading bias is set based on the higher timeframe analysis, traders can switch to a lower timeframe to look for entry points in the direction of the bias. For example, if the higher timeframe suggests a high likelihood of a green candle, traders may look for buy opportunities in the lower timeframe.
Combining Timeframes for a Comprehensive Strategy:
Confirmation and Alignment: By analyzing the higher timeframe and confirming the direction in the lower timeframe, traders can ensure that they are trading in alignment with the broader trend.
Avoiding False Signals: By using a higher timeframe to set the trading bias and a lower timeframe to find entries, traders can avoid false signals and whipsaws that might be present in a single timeframe analysis.
█ Settings
Price Input Selection: Choose between regular open and close prices or Heikin Ashi candles as the basis for calculation.
Data Window Control: Decide between displaying the full data window or only the active data. You can also enable a counter that keeps track of the number of candles.
Alert Configuration: Set the desired number and color of consecutive candles that must occur in a row to trigger an alert.
Table Display Customization: Customize the location and size of the display table according to your preferences.
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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!
Wick-to-Body Ratio Trend Forecast | Flux ChartsThe Wick-to-Body Ratio Trend Forecast Indicator aims to forecast potential movements following the last closed candle using the wick-to-body ratio. The script identifies those candles within the loopback period with a ratio matching that of the last closed candle and provides an analysis of their trends.
➡️ USAGE
Wick-to-body ratios can be used in many strategies. The most common use in stock trading is to discern bullish or bearish sentiment. This indicator extends candle ratios, revealing previous patterns that follow a candle with a similar ratio. The most basic use of this indicator is the single forecast line.
➡️ FORECASTING SYSTEM
This line displays a compilation of the averages of all the previous trends resulting from those historical candles with a matching ratio. It shows the average movements of the trends as well as the 'strength' of the trend. The 'strength' of the trend is a gradient that is blue when the trend deviates more from the average and red when it deviates less.
Chart: AMEX:SPY 30 min; Indicator Settings: Loopback 700, Previous Trends ON
The color-coded deviation is visible in this image of the indicator with the default settings (except for Forecast Lines > Previous Trends ), and the trend line grows bluer as the past patterns deviate more.
➡️ ADAPTIVE ACCEPTABLE RANGE
The algorithm looks back at every candle within the loopback period to find candles that match the last closed candle. The algorithm adaptively changes the acceptable range to which a candle can differ from the ratio of the last closed candle. The algorithm will never have more than 15 historical points used, as it will lower its sensitivity before it reaches that point.
Chart: BITSTAMP:BTCUSD 5 min; Indicator Settings: Loopback 700
Here is the BTC chart on 7/6/23 with default settings except for the loopback period at 700.
Chart: BITSTAMP:BTCUSD 5 min; Indicator Settings: Loopback 200
Here is the exact same chart with a loopback period of 200. While the first ratio for both is the same, a new ratio is revealed for the chart with a loopback of only 200 because the adaptive range is adjusted in the algorithm to find an acceptable number of reference points. Note the table in the top right however, while the algorithm adapts the acceptable range between the current ratio and historical ones to find reference points, there is a threshold at which candles will be considered too inaccurate to be considered. This prevents meaningless associations between candles due to a particularly rare ratio. This threshold can be adjusted in the settings through "Default Accuracy".
Relative Trend Index (RTI) by Zeiierman█ Overview
The Relative Trend Index (RTI) developed by Zeiierman is an innovative technical analysis tool designed to measure the strength and direction of the market trend. Unlike some traditional indicators, the RTI boasts a distinctive ability to adapt and respond to market volatility, while still minimizing the effects of minor, short-term market fluctuations.
The Relative Trend Index blends trend-following and mean-reverting characteristics, paired with a customizable and intuitive approach to trend strength, and its sensitivity to price action makes this indicator stand out.
█ Benefits of using this RTI instead of RSI
The Relative Strength Index (RSI) and the Relative Trend Index (RTI) are both powerful technical indicators, each with its own unique strengths.
However, there are key differences that make the RTI arguably more sophisticated and precise, especially when it comes to identifying trends and overbought/oversold (OB/OS) areas.
The RSI is a momentum oscillator that measures the speed and change of price movements and is typically used to identify overbought and oversold conditions in a market. However, its primary limitation lies in its tendency to produce false signals during extended trending periods.
On the other hand, the RTI is designed specifically to identify and adapt to market trends. Instead of solely focusing on price changes, the RTI measures the relative positioning of the current closing price within its recent range, providing a more comprehensive view of market conditions.
The RTI's adaptable nature is particularly valuable. The user-adjustable sensitivity percentage allows traders to fine-tune the indicator's responsiveness, making it more resilient to sudden market fluctuations and noise that could otherwise produce false signals. This feature is advantageous in various market conditions, from trending to choppy and sideways-moving markets.
Furthermore, the RTI's unique method of defining OB/OS zones takes into account the prevailing trend, which can provide a more precise reflection of the market's condition.
While the RSI is an invaluable tool in many traders' toolkits, the RTI's unique approach to trend identification, adaptability, and enhanced definition of OB/OS zones can provide traders with a more nuanced understanding of market conditions and potential trading opportunities. This makes the RTI an especially powerful tool for those seeking to ride long-term trends and avoid false signals.
█ Calculations
In summary, while simple enough, the math behind the RTI indicator is quite powerful. It combines the quantification of price volatility with the flexibility to adjust the trend sensitivity. It provides a normalized output that can be interpreted consistently across various trading scenarios.
The math behind the Relative Trend Index (RTI) indicator is rooted in some fundamental statistical concepts: Standard Deviation and Percentiles.
Standard Deviation: The Standard Deviation is a measure of dispersion or variability in a dataset. It quantifies the degree to which each data point deviates from the mean (or average) of the data set. In this script, the standard deviation is computed on the 'close' prices over a specified number of periods. This provides a measure of the volatility in the price over that period. The higher the standard deviation, the more volatile the price has been.
Percentiles: The percentile is a measure used in statistics indicating the value below which a given percentage of observations in a group falls. After calculating the upper and lower trends for the last 'length' periods and sorting these values, the script uses the 'Sensitivity ' parameter to extract percentiles from these sorted arrays. This is a powerful concept because it allows us to adjust the sensitivity of our signals. By choosing different percentiles (controlled through the 'Sensitivity' parameter), we can decide whether we want to react only to extreme events (high percentiles) or be more reactive and consider smaller deviations from the norm as significant (lower percentiles).
Finally, the script calculates the Relative Trend Index value, which is essentially a normalized measure indicating where the current price falls between the upper and lower trend values. This simple ratio is incredibly powerful as it provides a standardized measure that can be used across different securities and market conditions to identify potential trading signals.
Core Components
Trend Data Count: This parameter denotes the number of data points used in the RTI's calculation, determining the trend length. A higher count captures a more extended market view (long-term trend), providing smoother results that are more resistant to sudden market changes. In contrast, a lower count focuses on more recent data (short-term trend), yielding faster responses to market changes, albeit at the cost of increased susceptibility to market noise.
Trend Sensitivity Percentage: This parameter is employed to select the indices within the trend arrays used for upper and lower trend definitions. By adjusting this value, users can affect the sensitivity of the trend, with higher percentages leading to a less sensitive trend.
█ How to use
The RTI plots a line that revolves around a mid-point of 50. When the RTI is above 50, it implies that the market trend is bullish (upward), and when it's below 50, it indicates a bearish (downward) trend. Furthermore, the farther the RTI deviates from the 50 line, the stronger the trend is perceived to be.
Bullish
Bearish
The RTI includes user-defined Overbought and Oversold levels. These thresholds suggest potential trading opportunities when they are crossed, serving as a cue for traders to possibly buy or sell. This gives the RTI an additional use case as a mean-reversion tool, in addition to being a trend-following indicator.
In short
Trend Confirmation and Reversals: If the percentage trend value is consistently closer to the upper level, it can indicate a strong uptrend. Similarly, if it's closer to the lower level, a downtrend may be in play. If the percentage trend line begins to move away from one trend line towards the other, it could suggest a potential trend reversal.
Identifying Overbought and Oversold Conditions: When the percentage trend value reaches the upper trend line (signified by a value of 1), it suggests an overbought condition - i.e., the price has been pushed up, perhaps too far, and could be due for a pullback, or indicating a strong positive trend. Conversely, when the percentage trend value hits the lower trend line (a value of 0), it indicates an oversold condition - the price may have been driven down and could be set to rebound, or indicate a strong negative trend. Traders often use these overbought and oversold signals as contrarian indicators, considering them potential signs to sell (in overbought conditions) or buy (in oversold conditions). If the RTI line remains overbought or oversold for an extended period, it indicates a strong trend in that direction.
█ Settings
One key feature of the RTI is its configurability. It allows users to set the trend data length and trend sensitivity.
The trend data length represents the number of data points used in the trend calculation. A longer trend data length will reflect a more long-term trend, whereas a shorter trend data length will capture short-term movements.
Trend sensitivity refers to the threshold for determining what constitutes a significant trend. High sensitivity levels will deem fewer price movements as significant, hence making the trend less sensitive. Conversely, low sensitivity levels will deem more price movements as significant, hence making the trend more sensitive.
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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!
Machine Learning : Torben's Moving Median KNN BandsWhat is Median Filtering ?
Median filtering is a non-linear digital filtering technique, often used to remove noise from an image or signal. Such noise reduction is a typical pre-processing step to improve the results of later processing (for example, edge detection on an image). Median filtering is very widely used in digital image processing because, under certain conditions, it preserves edges while removing noise (but see the discussion below), also having applications in signal processing.
The main idea of the median filter is to run through the signal entry by entry, replacing each entry with the median of neighboring entries. The pattern of neighbors is called the "window", which slides, entry by entry, over the entire signal. For one-dimensional signals, the most obvious window is just the first few preceding and following entries, whereas for two-dimensional (or higher-dimensional) data the window must include all entries within a given radius or ellipsoidal region (i.e. the median filter is not a separable filter).
The median filter works by taking the median of all the pixels in a neighborhood around the current pixel. The median is the middle value in a sorted list of numbers. This means that the median filter is not sensitive to the order of the pixels in the neighborhood, and it is not affected by outliers (very high or very low values).
The median filter is a very effective way to remove noise from images. It can remove both salt and pepper noise (random white and black pixels) and Gaussian noise (randomly distributed pixels with a Gaussian distribution). The median filter is also very good at preserving edges, which is why it is often used as a pre-processing step for edge detection.
However, the median filter can also blur images. This is because the median filter replaces each pixel with the value of the median of its neighbors. This can cause the edges of objects in the image to be smoothed out. The amount of blurring depends on the size of the window used by the median filter. A larger window will blur more than a smaller window.
The median filter is a very versatile tool that can be used for a variety of tasks in image processing. It is a good choice for removing noise and preserving edges, but it can also blur images. The best way to use the median filter is to experiment with different window sizes to find the setting that produces the desired results.
What is this Indicator ?
K-nearest neighbors (KNN) is a simple, non-parametric machine learning algorithm that can be used for both classification and regression tasks. The basic idea behind KNN is to find the K most similar data points to a new data point and then use the labels of those K data points to predict the label of the new data point.
Torben's moving median is a variation of the median filter that is used to remove noise from images. The median filter works by replacing each pixel in an image with the median of its neighbors. Torben's moving median works in a similar way, but it also averages the values of the neighbors. This helps to reduce the amount of blurring that can occur with the median filter.
KNN over Torben's moving median is a hybrid algorithm that combines the strengths of both KNN and Torben's moving median. KNN is able to learn the underlying distribution of the data, while Torben's moving median is able to remove noise from the data. This combination can lead to better performance than either algorithm on its own.
To implement KNN over Torben's moving median, we first need to choose a value for K. The value of K controls how many neighbors are used to predict the label of a new data point. A larger value of K will make the algorithm more robust to noise, but it will also make the algorithm less sensitive to local variations in the data.
Once we have chosen a value for K, we need to train the algorithm on a dataset of labeled data points. The training dataset will be used to learn the underlying distribution of the data.
Once the algorithm is trained, we can use it to predict the labels of new data points. To do this, we first need to find the K most similar data points to the new data point. We can then use the labels of those K data points to predict the label of the new data point.
KNN over Torben's moving median is a simple, yet powerful algorithm that can be used for a variety of tasks. It is particularly well-suited for tasks where the data is noisy or where the underlying distribution of the data is unknown.
Here are some of the advantages of using KNN over Torben's moving median:
KNN is able to learn the underlying distribution of the data.
KNN is robust to noise.
KNN is not sensitive to local variations in the data.
Here are some of the disadvantages of using KNN over Torben's moving median:
KNN can be computationally expensive for large datasets.
KNN can be sensitive to the choice of K.
KNN can be slow to train.
