find bulish patternsIn this script:
We continue to calculate the bullish engulfing condition for monthly candlesticks (engulfingConditionM) as before.
We then create two variables (engulfingConditionY and lastYear) to calculate the yearly engulfing condition.
We use an if statement to check if the year has changed compared to the previous bar. If it has, we update the engulfingConditionY variable; otherwise, we keep the previous year's value.
Finally, we plot the monthly and yearly signals on the chart.
This code allows you to work with monthly data and calculate yearly signals based on the monthly data available in TradingView. Please note that this is an approximation and not true yearly resolution data, but it's a common workaround used in TradingView Pine Script.
תנודתיות
[blackcat] L1 Dynamic Volatility IndicatorThe volatility indicator (Volatility) is used to measure the magnitude and instability of price changes in financial markets or a specific asset. This thing is usually used to assess how risky the market is. The higher the volatility, the greater the fluctuation in asset prices, but brother, the risk is also relatively high! Here are some related terms and explanations:
- Historical Volatility: The actual volatility of asset prices over a certain period of time in the past. This thing is measured by calculating historical data.
- Implied Volatility: The volatility inferred from option market prices, used to measure market expectations for future price fluctuations.
- VIX Index (Volatility Index): Often referred to as the "fear index," it predicts the volatility of the US stock market within 30 days in advance. This is one of the most famous volatility indicators in global financial markets.
Volatility indicators are very important for investors and traders because they can help them understand how unstable and risky the market is, thereby making wiser investment decisions.
Today I want to introduce a volatility indicator that I have privately held for many years. It can use colors to judge sharp rises and falls! Of course, if you are smart enough, you can also predict some potential sharp rises and falls by looking at the trend!
In the financial field, volatility indicators measure the magnitude and instability of price changes in different assets. They are usually used to assess the level of market risk. The higher the volatility, the greater the fluctuation in asset prices and therefore higher risk. Historical Volatility refers to the actual volatility of asset prices over a certain period of time in the past, which can be measured by calculating historical data; while Implied Volatility is derived from option market prices and used to measure market expectations for future price fluctuations. In addition, VIX Index is commonly known as "fear index" and is used to predict volatility in the US stock market within 30 days. It is one of the most famous volatility indicators in global financial markets.
Volatility indicators are very important for investors and traders because they help them understand market uncertainty and risk, enabling them to make wiser investment decisions. The L1 Dynamic Volatility Indicator that I am introducing today is an indicator that measures volatility and can also judge sharp rises and falls through colors!
This indicator combines two technical indicators: Dynamic Volatility (DV) and ATR (Average True Range), displaying warnings about sharp rises or falls through color coding. DV has a slow but relatively smooth response, while ATR has a fast but more oscillating response. By utilizing their complementary characteristics, it is possible to construct a structure similar to MACD's fast-slow line structure. Of course, in order to achieve fast-slow lines for DV and ATR, first we need to unify their coordinate axes by normalizing them. Then whenever ATR's yellow line exceeds DV's purple line with both curves rapidly breaking through the threshold of 0.2, sharp rises or falls are imminent.
However, it is important to note that relying solely on the height and direction of these two lines is not enough to determine the direction of sharp rises or falls! Because they only judge the trend of volatility and cannot determine bull or bear markets! But it's okay, I have already considered this issue early on and added a magical gradient color band. When the color band gradually turns warm, it indicates a sharp rise; conversely, when the color band tends towards cool colors, it indicates a sharp fall! Of course, you won't see the color band in sideways consolidation areas, which avoids your involvement in unnecessary trades that would only waste your funds! This indicator is really practical and with it you can better assess market risks and opportunities!
[blackcat] L2 Votatility of Williams VixFix Risk AssessmentHey there! I previously wrote an article about the Larry Williams ViX Fix technical indicator. Soon after, friends from the TradingView community told me that this indicator could be combined with the Risk Assessment indicator I wrote about earlier to determine when to go long or short. At the time, I found it a bit cumbersome to use both indicators together, so I came up with a solution: to merge them. This way, we can use one technical indicator to visually see whether we should go long or short. Isn't that cool? The indicator has a very common name: ** L2 Votatility of Williams VixFix Risk Assessment, or VoWVRA for short.**
This TradingView Pine Script is a custom indicator based on the Larry Williams ViX Fix technical indicator, designed to help traders with risk assessment and trading decisions. The Larry Williams ViX Fix indicator is derived from the volatility of the S&P 500 index and is mainly used to display changes in current market sentiment. The indicator determines market volatility by calculating the distance between the highest price, the lowest price, and the closing price. The higher the value of the indicator, the more tense the market sentiment, and the higher the market volatility; conversely, the lower the value, the more stable the market sentiment and the lower the market volatility.
The VoWVRA indicator is based on the Larry Williams ViX Fix indicator, combined with technical indicators such as Bollinger Bands and EMA, to assess market risk. The indicator can be customized with input parameters to suit different markets and investor needs. Using the VoWVRA indicator can help traders make wiser choices in risk control and trading decisions.
In addition, this TradingView Pine Script also includes a risk assessment indicator. The indicator calculates a series of values and then applies the exponential moving average (EMA) to the percentage change between the closing price and the highest and lowest prices within a certain range to determine the safety level. The safety level is then compared to different thresholds to determine the market's risk level. The risk assessment indicator can be customized with input parameters such as risk length, safety length, and EMA length to suit different market conditions and investor preferences. Using the risk assessment indicator can help traders make wiser decisions in risk management and trading strategies.
By using the VoWVRA and risk assessment indicators, traders can more accurately assess market risk and make wiser choices in trading decisions.
VWAP Divergence | Flux ChartsThe VWAP Divergence indicator aims to find divergences between price action and the VWAP indicator. It uses filters to filter out many of the false divergences and alert high quality, accurate signals.
Red dots above the candle represent bearish divergences, while green dots below the candle represent bullish divergences.
The main filter for divergences focuses on ATR and the price movement in the past candles up to the lookback period. Divergences are determined when a price movement over the lookback period is sharp enough to be greater/less than the ATR multiplier multiplied by the ATR.
Settings
Under "Divergence Settings", both the lookback period and ATR multiplier can be adjusted.
Due to the nature of the calculations, the ATR multiplier and the lookback period should be set lower on higher time frames. As price movements become more averaged, for example on the 15 minute chart, sharp price movements happen less frequently and are often contained in fewer candles as they happen on lower time frames. Less volatile stocks such as KO, CL, or BAC should also use lower ATR multipliers and lower lookback periods.
Under "Visual Settings", you can change the color of the VWAP line, show alternating VWAP colors, adjust divergence signal size, and show the VWAP line.
3kilos BTC 15mThe "3kilos BTC 15m" is a comprehensive trading strategy designed to work on a 15-minute timeframe for Bitcoin (BTC) or other cryptocurrencies. This strategy combines multiple indicators, including Triple Exponential Moving Averages (TEMA), Average True Range (ATR), and Heikin-Ashi candlesticks, to generate buy and sell signals. It also incorporates risk management features like take profit and stop loss.
Indicators
Triple Exponential Moving Averages (TEMA): Three TEMA lines are used with different lengths and sources:
Short TEMA (Red) based on highs
Long TEMA 1 (Blue) based on lows
Long TEMA 2 (Green) based on closing prices
Average True Range (ATR): Custom ATR calculation with EMA smoothing is used for volatility measurement.
Supertrend: Calculated using ATR and a multiplier to determine the trend direction.
Simple Moving Average (SMA): Applied to the short TEMA to smooth out its values.
Heikin-Ashi Close: Used for additional trend confirmation.
Entry & Exit Conditions
Long Entry: Triggered when the short TEMA is above both long TEMA lines, the Supertrend is bullish, the short TEMA is above its SMA, and the Heikin-Ashi close is higher than the previous close.
Short Entry: Triggered when the short TEMA is below both long TEMA lines, the Supertrend is bearish, the short TEMA is below its SMA, and the Heikin-Ashi close is lower than the previous close.
Take Profit and Stop Loss: Both are calculated as a percentage of the entry price, and they are set for both long and short positions.
Risk Management
Take Profit: Set at 1% above the entry price for long positions and 1% below for short positions.
Stop Loss: Set at 3% below the entry price for long positions and 3% above for short positions.
Commission and Pyramiding
Commission: A 0.07% commission is accounted for in the strategy.
Pyramiding: The strategy does not allow pyramiding.
Note
This strategy is designed for educational purposes and should not be considered as financial advice. Always do your own research and consider consulting a financial advisor before engaging in trading.
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!
Z-Score Based Momentum Zones with Advanced Volatility ChannelsThe indicator "Z-Score Based Momentum Zones with Advanced Volatility Channels" combines various technical analysis components, including volatility, price changes, and volume correction, to calculate Z-Scores and determine momentum zones and provide a visual representation of price movements and volatility based on multi timeframe highest high and lowest low values.
Note: THIS IS A IMPROVEMNT OF "Multi Time Frame Composite Bands" INDICATOR OF MINE WITH MORE EMPHASIS ON MOMENTUM ZONES CALULATED BASED ON Z-SCORES
Input Options
look_back_length: This input specifies the look-back period for calculating intraday volatility. correction It is set to a default value of 5.
lookback_period: This input sets the look-back period for calculating relative price change. The default value is 5.
zscore_period: This input determines the look-back period for calculating the Z-Score. The default value is 500.
avgZscore_length: This input defines the length of the momentum block used in calculations, with a default value of 14.
include_vc: This is a boolean input that, if set to true, enables volume correction in the calculations. By default, it is set to false.
1. Volatility Bands (Composite High and Low):
Composite High and Low: These are calculated by combining different moving averages of the high prices (high) and low prices (low). Specifically:
a_high and a_low are calculated as the average of the highest (ta.highest) and lowest (ta.lowest) high and low prices over various look-back periods (5, 8, 13, 21, 34) to capture short and long-term trends.
b_high and b_low are calculated as the simple moving average (SMA) of the high and low prices over different look-back periods (5, 8, 13) to smooth out the trends.
high_c and low_c are obtained by averaging a_high with b_high and a_low with b_low respectively.
IDV Correction Calulation : In this script the Intraday Volatility (IDV) is calculated as the simple moving average (SMA) of the daily high-low price range divided by the closing price. This measures how much the price fluctuates in a given period.
Composite High and Low with Volatility: The final c_high and c_low values are obtained by adjusting high_c and low_c with the calculated intraday volatility (IDV). These values are used to create the "Composite High" and "Composite Low" plots.
Composite High and Low with Volatility Correction: The final c_high and c_low values are obtained by adjusting high_c and low_c with the calculated intraday volatility (IDV). These values are used to create the "Composite High" and "Composite Low" plots.
2. Momentum Blocks Based on Z-Score:
Relative Price Change (RPC):
The Relative Price Change (rpdev) is calculated as the difference between the current high-low-close average (hlc3) and the previous simple moving average (psma_hlc3) of the same quantity. This measures the change in price over time.
Additionally, std_hlc3 is calculated as the standard deviation of the hlc3 values over a specified look-back period. The standard deviation quantifies the dispersion or volatility in the price data.
The rpdev is then divided by the std_hlc3 to normalize the price change by the volatility. This normalization ensures that the price change is expressed in terms of standard deviations, which is a common practice in quantitative analysis.
Essentially, the rpdev represents how many standard deviations the current price is away from the previous moving average.
Volume Correction (VC): If the include_vc input is set to true, volume correction is applied by dividing the trading volume by the previous simple moving average of the volume (psma_volume). This accounts for changes in trading activity.
Volume Corrected Relative Price Change (VCRPD): The vcrpd is calculated by multiplying the rpdev by the volume correction factor (vc). This incorporates both price changes and volume data.
Z-Scores: The Z-scores are calculated by taking the difference between the vcrpd and the mean (mean_vcrpd) and then dividing it by the standard deviation (stddev_vcrpd). Z-scores measure how many standard deviations a value is away from the mean. They help identify whether a value is unusually high or low compared to its historical distribution.
Momentum Blocks: The "Momentum Blocks" are essentially derived from the Z-scores (avgZScore). The script assigns different colors to the "Fill Area" based on predefined Z-score ranges. These colored areas represent different momentum zones:
Positive Z-scores indicate bullish momentum, and different shades of green are used to fill the area.
Negative Z-scores indicate bearish momentum, and different shades of red are used.
Z-scores near zero (between -0.25 and 0.25) suggest neutrality, and a yellow color is used.
How To Input CSV List Of Symbol Data Used For ScreenerExample of how to input multiple symbols at once using a CSV list of ticker IDs. The input list is extracted into individual ticker IDs which are then each used within an example screener function that calculates their rate of change. The results for each of the rate of changes are then plotted.
For code brevity this example only demonstrates using up to 4 symbols, but the logic is annotated to show how it can easily be expanded for use with up to 40 ticker IDs.
The CSV list used for input may contain spaces or no spaces after each comma separator, but whichever format (space or no space) is used must be used consistently throughout the list. If the list contains any invalid symbols the script will display a red exclamation mark that when clicked will display those invalid symbols.
If more than 4 ticker IDs are input then only the first 4 are used. If less than 4 ticker IDs are used then the unused screener calls will return `float(na)`. In the published chart the input list is using only 3 ticker IDs so there are only 3 plots shown instead of 4.
NOTICE: This is an example script and not meant to be used as an actual strategy. By using this script or any portion thereof, you acknowledge that you have read and understood that this is for research purposes only and I am not responsible for any financial losses you may incur by using this script!
Robust Bollinger Bands with Trend StrengthThe "Robust Bollinger Bands with Trend Strength" indicator is a technical analysis tool designed assess price volatility, identify potential trading opportunities, and gauge trend strength. It combines several robust statistical methods and percentile-based calculations to provide valuable information about price movements with Improved Resilience to Noise while mitigating the impact of outliers and non-normality in price data.
Here's a breakdown of how this indicator works and the information it provides:
Bollinger Bands Calculation: Similar to traditional Bollinger Bands, this indicator calculates the upper and lower bands that envelop the median (centerline) of the price data. These bands represent the potential upper and lower boundaries of price movements.
Robust Statistics: Instead of using standard deviation, this indicator employs robust statistical measures to calculate the bands (spread). Specifically, it uses the Interquartile Range (IQR), which is the range between the 25th percentile (low price) and the 75th percentile (high price). Robust statistics are less affected by extreme values (outliers) and data distributions that may not be perfectly normal. This makes the bands more resistant to unusual price spikes.
Median as Centerline: The indicator utilizes the median of the chosen price source (either HLC3 or VWMA) as the central reference point for the bands. The median is less affected by outliers than the mean (average), making it a robust choice. This can help identify the center of price action, which is useful for understanding whether prices are trending or ranging.
Trend Strength Assessment: The indicator goes beyond the standard Bollinger Bands by incorporating a measure of trend strength. It uses a robust rank-based correlation coefficient to assess the relationship between the price source and the bar index (time). This correlation coefficient, calculated over a specified length, helps determine whether a trend is strong, positive (uptrend), negative (down trend), or non-existent and weak. When the rank-based correlation coefficient shifts it indicates exhaustion of a prevailing trend. Trend Strength" indicator is designed to provide statistically valid information about trend strength while minimizing the impact of outliers and data distribution characteristics. The parameter choices, including a length of 14 and a correlation threshold of +/-0.7, considered to offer meaningful insights into market conditions and statistical validity (p-value ,0.05 statistically significant). The use of rank-based correlation is a robust alternative to traditional Pearson correlation, especially in the context of financial markets.
Trend Fill: Based on the robust rank-based correlation coefficient, the indicator fills the area between the upper and lower Bollinger Bands with different colors to visually represent the trend strength. For example, it may use green for an uptrend, red for a down trend, and a neutral color for a weak or ranging market. This visual representation can help traders quickly identify potential trend opportunities. In addition the middle line also informs about the overall trend direction of the median.
VWMA/SMA Delta Volatility (Statistical Anomaly Detector)The "VWMA/SMA Delta Volatility (Statistical Anomaly Detector)" indicator is a tool designed to detect and visualize volatility in a financial market's price data. The indicator calculates the difference (delta) between two moving averages (VWMA/SMA) and uses statistical analysis to identify anomalies or extreme price movements. Here's a breakdown of its components:
Hypothesis:
The hypothesis behind this indicator is that extreme price movements or anomalies in the market can be detected by analyzing the difference between two moving averages and comparing it to a statistically derived normal distribution. When the MA delta (the difference between two MAs: VWMA/SMA) exceeds a certain threshold based on standard deviation and the Z-score coefficient, it may indicate increased market volatility or potential trading opportunities.
Calculation of MA Delta:
The indicator calculates the MA delta by subtracting a simple moving average (SMA) from a volume-weighted moving average (VWMA) of a selected price source. This calculation represents the difference in the market's short-term and long-term trends.
Statistical Analysis:
To detect anomalies, the indicator performs statistical analysis on the MA delta. It calculates a moving average (MA) of the MA delta and its standard deviation over a specified sample size. This MA acts as a baseline, and the standard deviation is used to measure how much the MA delta deviates from the mean.
Delta Normalization:
The MA delta, lower filter, and upper filter are normalized using a function that scales them to a specific range, typically from -100 to 100. Normalization helps in comparing these values on a consistent scale and enhances their visual representation.
Visual Representation:
The indicator visualizes the results through histograms and channels:
The histogram bars represent the normalized MA delta. Red bars indicate negative and below-lower-filter values, green bars indicate positive and above-upper-filter values, and silver bars indicate values within the normal range.
It also displays a Z-score channel, which represents the upper and lower filters after normalization. This channel helps traders identify price levels that are statistically significant and potentially indicative of market volatility.
In summary, the "MA Delta Volatility (Statistical Anomaly Detector)" indicator aims to help traders identify abnormal price movements in the market by analyzing the difference between two moving averages and applying statistical measures. It can be a valuable tool for traders looking to spot potential opportunities during periods of increased volatility or to identify potential market anomalies.
[blackcat] L1 Larry Williams VixFix IndicatorLevel : L1
Larry Williams, had this idea to create a synthetic VIX for more than just the main stock indices. Check out the formula for Williams VixFix:
```
VIX Fix Formula = (Highest(Close, 22) – Low) / (Highest(Close, 22)) * 100
```
What does this even mean? In normal person terms, here's what it's all about:
1. Find the highest close over the last 22 days and subtract today's low (or the current bar).
2. Divide that by the highest close of the past 22 days.
3. Multiply the result by 100 to "normalize" the indicator.
Why 22 days, you ask? That's how long the normal month of trading days is.
So, you see, the formula is pretty chill. It's just a way to measure the price volatility of the last 22 trading days. It's a bit of a lagging indicator, but it gets the job done.
Here my version of this scriptcreates a custom technical indicator called "L1 Larry Williams VixFix" that measures the distance between the highest high and the lowest low of a security's price over a specified period.
The user can adjust the period length and source price used in the VixFix calculation. The period length is set to 22 by default, but can be modified by the user with the "Length" input parameter. The source price is set to "close" by default, meaning it will use the closing price of each bar to calculate the VixFix. However, the user can also choose a different type of price data, such as open, high, or low.
The VixFix is calculated as a percentage of the difference between the highest close and the lowest low over the specified period. This percentage is then multiplied by 100 to create a more readable value.
Finally, the code plots the VixFix line on the chart with a yellow color and a thickness of 2. This allows the user to easily visualize the VixFix value and incorporate it into their trading decisions.
Overall, this script provides a powerful tool for technical analysis that can help traders identify potential trend changes and market reversals.
[blackcat] L1 Reverse Choppiness IndexThe Choppiness Index is a technical indicator that is used to measure market volatility and trendiness. It is designed to help traders identify when the market is trending and when it is choppy, meaning that it is moving sideways with no clear direction. The Choppiness Index was first introduced by Australian commodity trader E.W. Dreiss in the late 1990s, and it has since become a popular tool among traders.
Today, I created a reverse version of choppiness index indicator, which uses upward direction as indicating strong trend rather than a traditional downward direction. Also, it max values are exceeding 100 compared to a traditional one. I use red color to indicate a strong trend, while yellow as sideways. Fuchsia zone are also incorporated as an indicator of sideways. One thing that you need to know: different time frames may need optimize parameters of this indicator. Finally, I'd be happy to explain more about this piece of code.
The code begins by defining two input variables: `len` and `atrLen`. `len` sets the length of the lookback period for the highest high and lowest low, while `atrLen` sets the length of the lookback period for the ATR calculation.
The `atr()` function is then used to calculate the ATR, which is a measure of volatility based on the range of price movement over a certain period of time. The `highest()` and `lowest()` functions are used to calculate the highest high and lowest low over the lookback period specified by `len`.
The `range`, `up`, and `down` variables are then calculated based on the highest high, lowest low, and closing price. The `sum()` function is used to calculate the sum of ranges over the lookback period.
Finally, the Choppiness Index is calculated using the ATR and the sum of ranges over the lookback period. The `log10()` function is used to take the logarithm of the sum divided by the lookback period, and the result is multiplied by 100 to get a percentage. The Choppiness Index is then plotted on the chart using the `plot()` function.
This code can be used directly in TradingView to plot the Choppiness Index on a chart. It can also be incorporated into custom trading strategies to help traders make more informed decisions based on market volatility and trendiness.
I hope this explanation helps! Let me know if you have any further questions.
Liquidity Concepts [BigBeluga]The Liquidity Concepts indicator is designed to represent the liquidity on the chart using pivot points as potential stop-losses / liquidity grabs.
The indicator is facilitated by a market structure detector and pivot points to identify resting liquidity / stop-loss levels.
A liquidity grab or a stop-loss hunt is when retail traders place their stop-loss orders at recent highs / most recent highs or lows. This is a spot where big players attempt to push the market to trigger all the stop-loss orders and gain a better entry in their favor.
🔶 CALCULATION
The indicator uses the Higher Lower script made by @LonesomeTheBlue to determine these pivot points. When a pivot point is formed, it is displayed on the chart with the corresponding symbol (HH - HL - LH - LL). When one of these points is broken, a line is drawn between the pivot point and the candle that broke it.
A liquidity grab is only recognized after it has occurred, and it is represented with a box showing all the candles that were involved in the sweep / stop-loss hunt.
A pivot point is established only after the selected lookback period and cannot be printed beforehand in any manner. This ensures that it captures the highest point within the lookback period following the candle formation.
An HL (Higher Low) point is established when it is lower than an HH (Higher High) point, whereas an LH (Lower High) point is established when it is higher than an LL (Lower Low) point.
Boxes are formed in two different types: Major and Minor.
- Major boxes occur when LH or HL points are breached, with their high or low point crossing above or below in the specific lookback period.
- Minor boxes occur when HH or LL points are breached, with their high or low point crossing above or below in the specific lookback period.
Minor points are less efficient since they represent key highs and lows, and before taking out those liquidity levels, the HL and LH points should be cleared.
Representation of Pivot Point Formation:
Liquidity wicks are a minor representation of a stop-loss hunt during the retracement of a pivot point. This means that a pivot point is broken only by the wick and not by the entire body.
Bigger wick = more liquidity
Lower wick = less liquidity
Liquidity wicks can be used as trade confirmation or targets for your entry to enhance accuracy.
Users have the option to display candle coloring based on the currently detected trend.
🔶 VERIFICATION
Users have the option to specify the verification length for when the liquidity should occur. This means that if the length is set to 7, the indicator will search for the liquidity formation within the last 7 candles; otherwise, it will be considered invalid.
🔶 CONCEPTS
The whole idea is to help find possible zone of stop loss hunting helping having a better entry in our trading, we can utilize a lot more tools, and this shoud be used as confluence only
🔶 OPTIONS
Users have complete control over the settings, allowing them to:
- Disable pivot points.
- Disable the display of boxes.
- Disable liquidity wicks.
- Customize colors to their preferences.
- Adjust lookback settings for historical data analysis.
- Modify candle coloring settings.
- Adjust the text size of labels for better readability and customization.
🔶 RECAP
Box => Represents liquidity formation / stop-loss hunt
- Minor Box HH / LL point
- Major Box LH / HL point
Liquidity Wicks => Formed when a pivot point is broken only by the wick
BOS / CHoCH => Calculated using the pivot points from the @LonesomeTheBlue script
🔶 RELATED SCRIPTS
Price Action Concepts =>
ATR Adaptive RSI OscillatorThe " ATR Adaptive RSI Oscillator " is a versatile technical analysis tool designed to help traders make informed decisions in dynamic market conditions. It combines the Relative Strength Index (RSI) with the Average True Range (ATR) to provide adaptive and responsive insights into price trends.
Key Features :
Adaptive RSI Periods : The indicator introduces the concept of adaptive RSI periods based on the ATR (Average True Range) of the market. When enabled, it dynamically adjusts the RSI calculation period, offering longer periods during high volatility and shorter periods during low volatility. This adaptability enhances the accuracy of RSI signals across varying market conditions.
Volume-Based Smoothing : The indicator includes a smoothing feature that computes a time-decayed weighted moving average of RSI values over the last two bars, using volume-based weights. This approach offers a time-sensitive smoothing effect, reducing noise for a clearer view of trend strength compared to the standard RSI.
Divergence Detection : Traders can enable divergence detection to identify potential reversal points in the market. The indicator highlights regular bullish and bearish divergences, providing valuable insights into market sentiment shifts.
Customizable Parameters : Traders have the flexibility to customize various parameters, including RSI length, adaptive mode, ATR length, and divergence settings, to tailor the indicator to their trading strategy.
Overbought and Oversold Levels : The indicator includes overbought (OB) and oversold (OS) boundary lines that can be adjusted to suit individual preferences. These levels help traders identify potential reversal zones.
The "ATR Adaptive RSI Oscillator" is a powerful tool for traders seeking to adapt their trading strategies to changing market dynamics. Whether you're a trend follower or a contrarian trader, this indicator provides valuable insights to support your decision-making process.
Candle Tick SizeHello everyone!
I dont think it exists, I couldnt find it any way I searched, maybe it is part of a bigger indicator. This is a really basic code, all it does, it shows the tick/pip size of the candles forming. You can adjust on how many candles should it show. Also because the code counts the point size of the candles from high to low, you can adjust that how many ticks are in one point, like for ES and NQ 4 ticks to a point, which is the basic setting. It helps me with entrys when I calculate the contract size so my risk/reward stays pretty much the same depending on the candle size for my entrys.
The Swinging Momentum IndicatorThe Swinging Momentum indicator is a custom trading indicator that looks at price momentum to identify potential buy and sell signals. It uses the rate of change in closing price over the last few bars to determine if momentum is increasing or decreasing. It also looks at the relationship of the close price to recent highs and lows, volume, and short term moving averages to confirm the strength of the momentum signal.
The indicator has two main components - identifying initial buy and sell signals, and then rating the strength of those signals. For buys, it looks for an increase in closing price momentum along with a close above recent highs and highest volume. For sells, it looks for a decrease in momentum and close below recent lows and highest volume. This identifies the initial signal without too many false signals.
It then looks at multiple factors to grade the strength of the signal, on a scale of 0 to 3. For buys it looks at how the close compares to the open, high and low of the last 4 bars, if the current low is above the recent low, and if there are more gaining days than losing days recently. For sells it looks at the close versus the open/high/low, if the current high is below the recent high, and if there are more losing than gaining days.
Each condition met adds 1 point to the strength rating. A rating above 2 is considered a strong momentum signal. This filters out weaker signals and reduces whipsaws.
The end result is plotted on the chart. Buy signals are triangles pointing up below the bars, sells are triangles pointing down above the bars. The colors help visualize the strength - strong signals are green for buys and red for sells, while weaker signals are yellow.
Trading with the Swinging Momentum indicator is straightforward. Strong buy signals identify upside momentum, so traders would look to enter long positions on a retest of the buy signal bar high. Strong sell signals identify downside momentum, so short positions can be entered on a retest of the bar low. Stops are placed beyond recent swing points in the opposite direction of the trade.
Since momentum can quickly change, risk management is key. Traders should look for other confirming indicators to strengthen the probability of a momentum trade working out. Good additional indicators to use with momentum include volume, trends, support/resistance and volatility measures.
The advantage of the Swinging Momentum indicator is that isolating the strongest momentum moves helps traders focus on higher probability trade setups. Monitoring both the initial signal and the strength rating gives an added level of confidence compared to standard momentum indicators. This custom indicator combines multiple momentum strategies into one, allowing traders to quickly identify and evaluate momentum opportunities on the chart.
Used appropriately with sound risk management, the Swinging Momentum indicator can be a valuable addition to a trading system. It visualizes both the direction and strength of momentum, key factors when trading trends and breakouts. While no indicator is perfect, understanding and utilizing momentum is a key concept for traders to master. This indicator provides a graphical representation to improve the way momentum is incorporated into trading decisions.
