Inversion Fair Value Gaps | Flux Charts💎 GENERAL OVERVIEW
Introducing our new Inversion Fair Value Gaps (IFVG) indicator! Inversion Fair Value Gaps occur when a Fair Value Gap becomes invalidated. They reverse the role of the original Fair Value Gap, making a bullish zone bearish and vice versa. With this indicator, you can now see the volume of the bar that invalidated the FVG, which is also the bar that IFVG occurred. For more information about the process, read the " HOW DOES IT WORK " section of the description.
Features of the IFVG Indicator :
Render Bullish / Bearish IFVG Zones
See The Occurrence Volume Of The IFVG Zones
Combination Of Overlapping FVG Zones
Variety Of Zone Detection / Sensitivity / Filtering / Invalidation Settings
High Customizability
🚩UNIQUENESS
This indicator stands out with its ability to render the occurrence volume of IFVGs. Also the ability to combine overlapping FVG zones will result in cleaner charts for traders. You can customize the FVG Filtering method, FVG & IFVG Zone Invalidation, Detection Sensitivity etc. according to your strategy to get the best performance from the indicator.
📌 HOW DOES IT WORK ?
A Fair Value Gap generally occur when there is an imbalance in the market. They can be detected by specific formations within the chart. An Inversion Fair Value Gap is when a FVG becomes invalidated, thus reversing the direction of the FVG.
⚙️SETTINGS
1. General Configuration
FVG Zone Invalidation -> Select between Wick & Close price for FVG Zone Invalidation.
IFVG Zone Invalidation -> Select between Wick & Close price for IFVG Zone Invalidation.
Zone Filtering -> With "Average Range" selected, algorithm will find FVG zones in comparison with average range of last bars in the chart. With the "Volume Threshold" option, you may select a Volume Threshold % to spot FVGs with a larger total volume than average.
FVG Detection -> With the "Same Type" option, all 3 bars that formed the FVG should be the same type. (Bullish / Bearish). If the "All" option is selected, bar types may vary between Bullish / Bearish.
Detection Sensitivity -> You may select between Low, Normal or High FVG detection sensitivity. This will essentially determine the size of the spotted FVGs, with lower sensitivies resulting in spotting bigger FVGs, and higher sensitivies resulting in spotting all sizes of FVGs.
Show Historic Zones -> If this option is on, the indicator will render invalidated IFVG zones as well as current IFVG zones. For a cleaner look at current IFVG zones which are not invalidated yet, you can turn this option off.
Cari dalam skrip untuk "bear"
Kendall's Tau Correlation Regimes [NariCapitalTrading]The "Kendall's Tau Correlation Regimes" indicator is designed to analyze price data and determine market regimes based on Kendall's Tau correlation coefficient. It provides insight into the strength and direction of the correlation between two data series: close price and a selected moving average.
User Inputs:
Period: Defines the lookback period for calculating Kendall's Tau correlation. It can be adjusted using the input slider, with a minimum value of 1.
Threshold: Sets the threshold for identifying bullish and bearish market regimes. The user can adjust this value within the range of 0.1 to 1.0 with step increments of 0.1.
MA Type: Allows users to select the type of moving average to be used in the correlation calculation. Options include Simple Moving Average (SMA), Exponential Moving Average (EMA), and Hull Moving Average (HMA).
Kendall's Tau Correlation Calculation:
Calculates Kendall's Tau correlation coefficient between the closing price and the selected moving average.
Kendall's Tau measures the strength and direction of the ordinal association between two data series. It assesses whether the data pairs are in the same order or not.
The calculation involves counting concordant and discordant pairs of data points and then computing the coefficient.
Market Regime Identification:
Based on the threshold defined by the user, the indicator identifies two market regimes: bullish and bearish.
A regime is considered bullish when the Kendall's Tau correlation coefficient is greater than the threshold.
A regime is considered bearish when the Kendall's Tau correlation coefficient is less than the negative of the threshold.
Plotting:
The indicator plots the calculated Kendall's Tau correlation coefficient as a blue line on a separate indicator pane.
It also highlights bullish regimes with a green background and bearish regimes with a red background.
Conclusion:
The "Kendall's Tau Correlation Regimes" indicator provides traders with a visual aid for assessing market regimes based on the strength of correlation between price and a selected moving average.
Disclaimer: This indicator is for educational and informational purposes only.
RSI Market Regime FinderThe Relative Strength Index Market Regime
Imagine the RSI as a tool that helps you figure out if a stock or any other asset is overbought or oversold. It’s like trying to see if a party is too crowded or too empty.
The RSI measures the speed and change of price movements. When it’s high, like above 70, it suggests that the asset might be overbought. Think of it like everyone rushing in to buy the latest cool thing, and maybe it’s getting a bit too popular. On the flip side, if the RSI is low, below 30, it implies that the asset might be oversold. This is like when nobody wants to go to a party, and it might be a good time to check it out because things could pick up.
Now, why does this matter? Well, it gives you a hint about potential reversals in the market. If something is overbought, it might be time for a cool-down, and if it’s oversold, there might be a chance for a comeback. Traders often use RSI to get a sense of whether an asset is in a strong trend or if it’s about to change direction. So, in a nutshell, RSI is like a party meter for the market. It helps you gauge if things are getting too wild or if it’s a bit quiet, giving you a heads-up on potential changes in the market vibe.
Creating the Regime Detection Indicator
A market regime is essentially the prevailing state or condition of the financial markets at a given time. It’s like saying the market can have different modes or phases, just like a person can be happy, sad, or somewhere in between.
Now, these market regimes can be broadly categorized based on trends. Imagine a market in a strong upward trend — everyone’s feeling optimistic, prices are going up, and it’s like a bull (that’s the term for a rising market) is running around.
On the flip side, if the market is in a downtrend, it’s like a bear (that’s the term for a falling market) is dominating. People might be a bit more cautious, prices are dropping, and it’s generally a less optimistic atmosphere.
The tricky part is that markets aren’t always in a clear-cut bull or bear state. Sometimes they’re just moving sideways, not going up or down much. That’s another market regime, often called a “sideways” or “range-bound” market.
The conditions of the creation of the indicator follow these assumptions:
A bullish regime is taking place whenever the RSI is above 50 but below 75 while the last three RSI values were above 46.
A bearish regime is taking place whenever the RSI is below 50 but above 25 while the last three RSI values were below 54.
The script is super simple to use. Basically, whenever the green line is in progress, a bullish regime is taking place, and whenever the red line is in progress, a bearish regime is taking place.
Long strategies fit well within a bullish regime while short strategies fit well within a bearish regime.
All the credit for this script goes to Sofien Kaabar. He graciously provided the code and I'm passing along his work.
Candlestick Patterns [NAS Algo]Candlestick Patterns plots most commonly used chart patterns to help and understand the market structure.
Bullish Reversal Patterns:
Hammer:
Appearance: Small body near the high, long lower shadow.
Interpretation: Indicates potential bullish reversal after a downtrend.
Inverted Hammer:
Appearance: Small body near the low, long upper shadow.
Interpretation: Signals potential bullish reversal, especially when the preceding trend is bearish.
Three White Soldiers:
Appearance: Three consecutive long bullish candles with higher closes.
Interpretation: Suggests a strong reversal of a downtrend.
Bullish Harami:
Appearance: Small candle (body) within the range of the previous large bearish candle.
Interpretation: Implies potential bullish reversal.
Bearish Reversal Patterns:
Hanging Man:
Appearance: Small body near the high, long lower shadow.
Interpretation: Suggests potential bearish reversal after an uptrend.
Shooting Star:
Appearance: Small body near the low, long upper shadow.
Interpretation: Indicates potential bearish reversal, especially after an uptrend.
Three Black Crows:
Appearance: Three consecutive long bearish candles with lower closes.
Interpretation: Signals a strong reversal of an uptrend.
Bearish Harami:
Appearance: Small candle (body) within the range of the previous large bullish candle.
Interpretation: Implies potential bearish reversal.
Dark Cloud Cover:
Appearance: Bearish reversal pattern where a bullish candle is followed by a bearish candle that opens above the high of the previous candle and closes below its midpoint.
Continuation Patterns:
Rising Three Methods:
Appearance: Consists of a long bullish candle followed by three small bearish candles and another bullish candle.
Interpretation: Indicates the continuation of an uptrend.
Falling Three Methods:
Appearance: Consists of a long bearish candle followed by three small bullish candles and another bearish candle.
Interpretation: Suggests the continuation of a downtrend.
Gravestone Doji:
Appearance: Doji candle with a long upper shadow, little or no lower shadow, and an opening/closing price near the low.
Interpretation: Signals potential reversal, particularly in an uptrend.
Long-Legged Doji:
Appearance: Doji with long upper and lower shadows and a small real body.
Interpretation: Indicates indecision in the market and potential reversal.
Dragonfly Doji:
Appearance: Doji with a long lower shadow and little or no upper shadow.
Interpretation: Suggests potential reversal, especially in a downtrend.
Fair Value Gaps (Volumetric) | Flux Charts💎 GENERAL OVERVIEW
Introducing a brand new Fair Value Gaps (FVG) indicator, now with Volumetric Zones! You can now see the total volume of FVG zones, as well as their bullish & bearish volume ratio.
Features of the Volumetric FVG Indicator :
Render Bullish / Bearish FVG Zones
See Total Volume Of The FVG Zones
See The Ratio Of Bullish / Bearish Bar Volume Of FVG Zones
Combination Of Overlapping FVG Zones
Variety Of Zone Detection/ Sensitivity / Filtering / Invalidation Settings
High Customizability
🚩UNIQUENESS
The ability to render the total volume of FVGs as well as bullish / bearish volume ratio is what sets this FVG indicator apart from others. Also the ability to combine overlapping FVG zones will result in cleaner charts for traders.
⚙️SETTINGS
1. General Configuration
Zone Invalidation -> Select between Wick & Close price for FVG Zone Invalidation.
Zone Filtering -> With "Average Range" selected, algorithm will find FVG zones in comparison with average range of last bars in the chart. With the "Volume Threshold" option, you may select a Volume Threshold % to spot FVGs with a larger total volume than average.
FVG Detection -> With the "Same Type" option, all 3 bars that formed the FVG should be the same type. (Bullish / Bearish). If the "All" option is selected, bar types may vary between Bullish / Bearish.
Detection Sensitivity -> You may select between Low, Normal or High FVG detection sensitivity. This will essentially determine the size of the spotted FVGs, with lower sensitivities resulting in spotting bigger FVGs, and higher sensitivities resulting in spotting all sizes of FVGs.
Show Historic Zones -> If this option is on, the indicator will render invalidated FVG zones as well as current FVG zones. For a cleaner look at current FVG zones which are not invalidated yet, you can turn this option off.
Machine Learning: STDEV Oscillator [YinYangAlgorithms]This Indicator aims to fill a gap within traditional Standard Deviation Analysis. Rather than its usual applications, this Indicator focuses on applying Standard Deviation within an Oscillator and likewise applying a Machine Learning approach to it. By doing so, we may hope to achieve an Adaptive Oscillator which can help display when the price is deviating from its standard movement. This Indicator may help display both when the price is Overbought or Underbought, and likewise, where the price may face Support and Resistance. The reason for this is that rather than simply plotting a Machine Learning Standard Deviation (STDEV), we instead create a High and a Low variant of STDEV, and then use its Highest and Lowest values calculated within another Deviation to create Deviation Zones. These zones may help to display these Support and Resistance locations; and likewise may help to show if the price is Overbought or Oversold based on its placement within these zones. This Oscillator may also help display Momentum when the High and/or Low STDEV crosses the midline (0). Lastly, this Oscillator may also be useful for seeing the spacing between the High and Low of the STDEV; large spacing may represent volatility within the STDEV which may be helpful for seeing when there is Momentum in the form of volatility.
Tutorial:
Above is an example of how this Indicator looks on BTC/USDT 1 Day. As you may see, when the price has parabolic movement, so does the STDEV. This is due to this price movement deviating from the mean of the data. Therefore when these parabolic movements occur, we create the Deviation Zones accordingly, in hopes that it may help to project future Support and Resistance locations as well as helping to display when the price is Overbought and Oversold.
If we zoom in a little bit, you may notice that the Support Zone (Blue) is smaller than the Resistance Zone (Orange). This is simply because during the last Bull Market there was more parabolic price deviation than there was during the Bear Market. You may see this if you refer to their values; the Resistance Zone goes to ~18k whereas the Support Zone is ~10.5k. This is completely normal and the way it is supposed to work. Due to the nature of how STDEV works, this Oscillator doesn’t use a 1:1 ratio and instead can develop and expand as exponential price action occurs.
The Neutral (0) line may also act as a Support and Resistance location. In the example above we can see how when the STDEV is below it, it acts as Resistance; and when it’s above it, it acts as Support.
This Neutral line may also provide us with insight as towards the momentum within the market and when it has shifted. When the STDEV is below the Neutral line, the market may be considered Bearish. When the STDEV is above the Neutral line, the market may be considered Bullish.
The Red Line represents the STDEV’s High and the Green Line represents the STDEV’s Low. When the STDEV’s High and Low get tight and close together, this may represent there is currently Low Volatility in the market. Low Volatility may cause consolidation to occur, however it also leaves room for expansion.
However, when the STDEV’s High and Low are quite spaced apart, this may represent High levels of Volatility in the market. This may mean the market is more prone to parabolic movements and expansion.
We will conclude our Tutorial here. Hopefully this has given you some insight into how applying Machine Learning to a High and Low STDEV then creating Deviation Zones based on it may help project when the Momentum of the Market is Bullish or Bearish; likewise when the price is Overbought or Oversold; and lastly where the price may face Support and Resistance in the form of STDEV.
If you have any questions, comments, ideas or concerns please don't hesitate to contact us.
HAPPY TRADING!
Trend Strength Over TimeThe script serves as an indicator designed to assess and visualize trend strength and Volume strength over time. It employs a variety of calculations and conditions to offer insights into both bullish and bearish market trends. Let's explore the key conceptual elements of the code.
Trend Strength Conditions:
The script defines conditions to assess trend strength based on a comparison between each calculated percentile value and the highest high (bullish) or lowest low (bearish). Separate conditions are established for each percentile length, allowing for a nuanced understanding of trend dynamics across different timeframes.
Counting Bull and Bear Trends:
To quantify the strength of bullish and bearish trends, the script maintains counts for the number of conditions that are true for each. This count-based approach provides a quantitative measure of trend strength.
Weak Bull and Bear Counts:
Recognizing that trends are not always clear-cut, the script introduces the concept of weak trends. It counts instances where the percentiles fall between the highest high and lowest low, indicating a potential weakening of the prevailing trend.
Bull and Bear Strength:
Bull and bear strengths are calculated based on the counts, with adjustments made for weak trends. This step provides a more nuanced and comprehensive assessment of trend strength by considering both strong and weak signals.
Current Trend Value:
The culmination of these calculations is the determination of the current trend value. This value represents the balance between bullish and bearish forces, offering a dynamic indicator of the market's prevailing sentiment.
Volume Strength Calculation:
In addition to price-based indicators, the script incorporates volume strength as a crucial element. This is calculated using the simple moving averages (SMAs) of volume over different lengths, normalized relative to the SMA over a length of 144. Volume strength adds a layer of confirmation or divergence to the price-based trend analysis.
Color Change:
To facilitate quick and intuitive interpretation, the script dynamically changes the color of the plotted line on the chart based on the current trend value. Green indicates a bullish trend, red indicates a bearish trend, and blue suggests a neutral or indecisive market.
Plotting:
The script uses the plot function to visually present the calculated trend strength and volume strength on the chart. This visual representation aids traders in making informed decisions based on the identified trends and their strengths.
Volume Strength: A Detailed Explanation
In the context of the provided script, volume strength is a critical component used to assess the strength of a market trend. It provides insights into the level of participation and commitment of market participants, offering a complementary perspective to traditional price-based indicators. Let's delve into the concept and practical applications of volume strength.
Calculation of Volume Strength:
The script calculates volume strength by considering the simple moving averages (SMAs) of volume over different time periods (13, 21, 34, 55, 89). These individual SMAs are then normalized relative to the SMA over a more extended period of 144. The weights assigned to each SMA in the calculation are defined in the variable VCF (Volume Correction Factor).
Calculation of Volume Strength with Weights: The weights assigned to each SMA in this calculation are crucial for emphasizing the significance of shorter-term volume movements relative to a longer-term baseline.
Interpretation of Weights:
The choice of weights reflects the relative importance of shorter-term volume movements compared to longer-term trends. In this script, shorter-term SMAs (13, 21, 34, 55, 89) are assigned decreasing weights, while the longer-term SMA (144) serves as the baseline.
Shorter-term SMAs with higher weights may have a more immediate impact on the volume strength calculation. This implies that recent changes in volume carry more weight in assessing the current market conditions.
The decreasing weights for shorter-term SMAs might indicate that, as the timeframe lengthens, the significance of recent volume movements diminishes in relation to the longer-term trend. This approach allows for a focus on both short-term volatility and longer-term stability in volume patterns.
The purpose of normalization is to emphasize the current volume's significance in comparison to its historical context. This can help identify abnormal volume spikes or sustained increases in trading activity, which may indicate the strength or weakness of a trend.
Interpretation and Practical Use:
Confirmation of Trend:
Rising volume during an uptrend can validate the strength of the upward movement, suggesting that a significant number of market participants are actively buying. Conversely, decreasing volume during an uptrend might indicate weakening interest and a potential reversal.
In a downtrend, increasing volume on downward price movements reinforces the strength of the trend. A decrease in volume during a downtrend may suggest a potential weakening or exhaustion of the downward momentum.
Divergence Analysis:
Divergence occurs when there is a disagreement between the price movement and the corresponding volume. For example, if prices are rising but volume is declining, it could signal a lack of conviction in the upward movement, and a reversal might be imminent.
Conversely, if prices are falling, but volume is decreasing as well, it might suggest that the downward momentum is losing steam, and a potential reversal or consolidation could be on the horizon.
In conclusion, volume strength analysis provides traders with a powerful tool to gauge the conviction behind price movements. By incorporating volume data into the technical analysis, one can make more informed decisions, enhance trend identification, and improve risk management strategies.
Liquidations Meter [LuxAlgo]The Liquidation Meter aims to gauge the momentum of the bar, identify the strength of the bulls and bears, and more importantly identify probable exhaustion/reversals by measuring probable liquidations.
🔶 USAGE
This tool includes many features related to the concept of liquidation. The two core ones are the liquidation meter and liquidation price calculator, highlighted below.
🔹 Liquidation Meter
The liquidation meter presents liquidations on the price chart by measuring the highest leverage value of longs and shorts that have been potentially liquidated on the last chart bar, hence allowing traders to:
gauge the momentum of the bar.
identify the strength of the bulls and bears.
identify probable reversal/exhaustion points.
Liquidation of low-leveraged positions can be indicative of exhaustion.
🔹 Liquidation Price Calculator
A liquidation price calculator might come in handy when you need to calculate at what price level your leveraged position in Crypto, Forex, Stocks, or any other asset class gets liquidated to add a protective stop to mitigate risk. Monitoring an open position gets easier if the trader can calculate the total risk in order for them to choose the right amount of margin and leverage.
Liquidation price is the distance from the trader's entry price to the price where trader's leveraged position gets liquidated due to a loss. As the leverage is increased, the distance from trader's entry price to the liquidation price shrinks.
While you have one or several trades open you can quickly check their liquidation levels and determine which one of the trades is closest to their liquidation price.
If you are a day trader that uses leverage and you want to know which trade has the best outlook you can calculate the liquidation price to see which one of the trades looks best.
🔹 Dashboard
The bar statistics option enables measuring and presenting trading activity, volatility, and probable liquidations for the last chart bar.
🔶 DETAILS
It's important to note that liquidation price calculator tool uses a formula to calculate the liquidation price based on the entry price + leverage ratio.
Other factors such as leveraged fees, position size, and other interest payments have been excluded since they are variables that don’t directly affect the level of liquidation of a leveraged position.
The calculator also assumes that traders are using an isolated margin for one single position and does not take into consideration the additional margin they might have in their account.
🔹Liquidation price formula
the liquidation distance in percentage = 100 / leverage ratio
the liquidation distance in price = current asset price x the liquidation distance in percentage
the liquidation price (longs) = current asset price – the liquidation distance in price
the liquidation price (shorts) = current asset price + the liquidation distance in price
or simply
the liquidation price (longs) = entry price * (1 – 1 / leverage ratio)
the liquidation price (shorts) = entry price * (1 + 1 / leverage ratio)
Example:
Let’s say that you are trading a leverage ratio of 1:20. The first step is to calculate the distance to your liquidation point in percentage.
the liquidation distance in percentage = 100 / 20 = 5%
Now you know that your liquidation price is 5% away from your entry price. Let's calculate 5% below and above the entry price of the asset you are currently trading. As an example, we assume that you are trading bitcoin which is currently priced at $35000.
the liquidation distance in price = $35000 x 0.05 = $1750
Finally, calculate liquidation prices.
the liquidation price (longs) = $35000 – $1750 = $33250
the liquidation price (short) = $35000 + $1750 = $36750
In this example, short liquidation price is $36750 and long liquidation price is $33250.
🔹How leverage ratio affects the liquidation price
The entry price is the starting point of the calculation and it is from here that the liquidation price is calculated, where the leverage ratio has a direct impact on the liquidation price since the more you borrow the less “wiggle-room” your trade has.
An increase in leverage will subsequently reduce the distance to full liquidation. On the contrary, choosing a lower leverage ratio will give the position more room to move on.
🔶 SETTINGS
🔹Liquidations Meter
Base Price: The option where to set the reference/base price.
🔹Liquidation Price Calculator
Liquidation Price Calculator: Toggles the visibility of the calculator. Details and assumptions made during the calculations are stated in the tooltip of the option.
Entry Price: The option where to set the entry price, a value of 0 will use the current closing price. Details are given in the tooltip of the option.
Leverage: The option where to set the leverage value.
Show Calculated Liquidation Prices on the Chart: Toggles the visibility of the liquidation prices on the price chart.
🔹Dashboard
Show Bar Statistics: Toggles the visibility of the last bar statistics.
🔹Others
Liquidations Meter Text Size: Liquidations Meter text size.
Liquidations Meter Offset: Liquidations Meter offset.
Dashboard/Calculator Placement: Dashboard/calculator position on the chart.
Dashboard/Calculator Text Size: Dashboard text size.
🔶 RELATED SCRIPTS
Here are some of the scripts that are related to the liquidation and liquidity concept, for more and other conceptual scripts you are kindly invited to visit LuxAlgo-Scripts .
Liquidation-Levels
Liquidations-Real-Time
Buyside-Sellside-Liquidity
Machine Learning: VWAP [YinYangAlgorithms]Machine Learning: VWAP aims to use Machine Learning to Identify the best location to Anchor the VWAP at. Rather than using a traditional fixed length or simply adjusting based on a Date / Time; by applying Machine Learning we may hope to identify crucial areas which make sense to reset the VWAP and start anew. VWAP’s may act similar to a Bollinger Band in the sense that they help to identify both Overbought and Oversold Price locations based on previous movements and help to identify how far the price may move within the current Trend. However, unlike Bollinger Bands, VWAPs have the ability to parabolically get quite spaced out and also reset. For this reason, the price may never actually go from the Lower to the Upper and vice versa (when very spaced out; when the Upper and Lower zones are narrow, it may bounce between the two). The reason for this is due to how the anchor location is calculated and in this specific Indicator, how it changes anchors based on price movement calculated within Machine Learning.
This Indicator changes the anchor if the Low < Lowest Low of a length of X and likewise if the High > Highest High of a length of X. This logic is applied within a Machine Learning standpoint that likewise amplifies this Lookback Length by adding a Machine Learning Length to it and increasing the lookback length even further.
Due to how the anchor for this VWAP changes, you may notice that the Basis Line (Orange) may act as a Trend Identifier. When the Price is above the basis line, it may represent a bullish trend; and likewise it may represent a bearish trend when below it. You may also notice what may happen is when the trend occurs, it may push all the way to the Upper or Lower levels of this VWAP. It may then proceed to move horizontally until the VWAP expands more and it may gain more movement; or it may correct back to the Basis Line. If it corrects back to the basis line, what may happen is it either uses the Basis Line as a Support and continues in its current direction, or it will change the VWAP anchor and start anew.
Tutorial:
If we zoom in on the most recent VWAP we can see how it expands. Expansion may be caused by time but generally it may be caused by price movement and volume. Exponential Price movement causes the VWAP to expand, even if there are corrections to it. However, please note Volume adds a large weighted factor to the calculation; hence Volume Weighted Average Price (VWAP).
If you refer to the white circle in the example above; you’ll be able to see that the VWAP expanded even while the price was correcting to the Basis line. This happens due to exponential movement which holds high volume. If you look at the volume below the white circle, you’ll notice it was very large; however even though there was exponential price movement after the white circle, since the volume was low, the VWAP didn’t expand much more than it already had.
There may be times where both Volume and Price movement isn’t significant enough to cause much of an expansion. During this time it may be considered to be in a state of consolidation. While looking at this example, you may also notice the color switch from red to green to red. The color of the VWAP is related to the movement of the Basis line (Orange middle line). When the current basis is > the basis of the previous bar the color of the VWAP is green, and when the current basis is < the basis of the previous bar, the color of the VWAP is red. The color may help you gauge the current directional movement the price is facing within the VWAP.
You may have noticed there are signals within this Indicator. These signals are composed of Green and Red Triangles which represent potential Bullish and Bearish momentum changes. The Momentum changes happen when the Signal Type:
The High/Low or Close (You pick in settings)
Crosses one of the locations within the VWAP.
Bullish Momentum change signals occur when :
Signal Type crosses OVER the Basis
Signal Type crosses OVER the lower level
Bearish Momentum change signals occur when:
Signal Type crosses UNDER the Basis
Signal Type Crosses UNDER the upper level
These signals may represent locations where momentum may occur in the direction of these signals. For these reasons there are also alerts available to be set up for them.
If you refer to the two circles within the example above, you may see that when the close goes above the basis line, how it mat represents bullish momentum. Likewise if it corrects back to the basis and the basis acts as a support, it may continue its bullish momentum back to the upper levels again. However, if you refer to the red circle, you’ll see if the basis fails to act as a support, it may then start to correct all the way to the lower levels, or depending on how expanded the VWAP is, it may just reset its anchor due to such drastic movement.
You also have the ability to disable Machine Learning by setting ‘Machine Learning Type’ to ‘None’. If this is done, it will go off whether you have it set to:
Bullish
Bearish
Neutral
For the type of VWAP you want to see. In this example above we have it set to ‘Bullish’. Non Machine Learning VWAP are still calculated using the same logic of if low < lowest low over length of X and if high > highest high over length of X.
Non Machine Learning VWAP’s change much quicker but may also allow the price to correct from one side to the other without changing VWAP Anchor. They may be useful for breaking up a trend into smaller pieces after momentum may have changed.
Above is an example of how the Non Machine Learning VWAP looks like when in Bearish. As you can see based on if it is Bullish or Bearish is how it favors the trend to be and may likewise dictate when it changes the Anchor.
When set to neutral however, the Anchor may change quite quickly. This results in a still useful VWAP to help dictate possible zones that the price may move within, but they’re also much tighter zones that may not expand the same way.
We will conclude this Tutorial here, hopefully this gives you some insight as to why and how Machine Learning VWAPs may be useful; as well as how to use them.
Settings:
VWAP:
VWAP Type: Type of VWAP. You can favor specific direction changes or let it be Neutral where there is even weight to both. Please note, these do not apply to the Machine Learning VWAP.
Source: VWAP Source. By default VWAP usually uses HLC3; however OHLC4 may help by providing more data.
Lookback Length: The Length of this VWAP when it comes to seeing if the current High > Highest of this length; or if the current Low is < Lowest of this length.
Standard VWAP Multiplier: This multiplier is applied only to the Standard VWMA. This is when 'Machine Learning Type' is set to 'None'.
Machine Learning:
Use Rational Quadratics: Rationalizing our source may be beneficial for usage within ML calculations.
Signal Type: Bullish and Bearish Signals are when the price crosses over/under the basis, as well as the Upper and Lower levels. These may act as indicators to where price movement may occur.
Machine Learning Type: Are we using a Simple ML Average, KNN Mean Average, KNN Exponential Average or None?
KNN Distance Type: We need to check if distance is within the KNN Min/Max distance, which distance checks are we using.
Machine Learning Length: How far back is our Machine Learning going to keep data for.
k-Nearest Neighbour (KNN) Length: How many k-Nearest Neighbours will we account for?
Fast ML Data Length: What is our Fast ML Length? This is used with our Slow Length to create our KNN Distance.
Slow ML Data Length: What is our Slow ML Length? This is used with our Fast Length to create our KNN Distance.
If you have any questions, comments, ideas or concerns please don't hesitate to contact us.
HAPPY TRADING!
Strong Pullback Indicator [Rami_LB]Strong Pullback Indicator
Description:
The Strong Pullback Indicator is designed to identify potential pullbacks or even trend reversals by utilizing a specific candlestick pattern in conjunction with the Relative Strength Index (RSI). It is advised to employ this indicator in chart intervals of 15 minutes or higher, as intervals below 15 minutes may generate excessive false signals.
Working Mechanism:
Upon detecting the designated candlestick pattern, the indicator examines whether any of the last five candles exhibit RSI values below 30 or above 70 across at least four distinct time intervals, depending on whether the pattern is bullish or bearish. The RSI calculations incorporate eight different intervals: 1 minute (1m), 5 minutes (5m), 15 minutes (15m), 30 minutes (30m), 1 hour (1h), 2 hours (2h), 4 hours (4h), and 1 day (1d). An arrow is rendered above or below the current candle only when these conditions are met.
Users have the option to adjust the number of overbought or oversold intervals, as well as the general settings for the RSI.
SL/TP Lines:
The indicator can also serve as a trade signal to initiate trades in the opposite direction. To evaluate the potential success of a trade in a backtesting scenario, SL (Stop Loss) and TP (Take Profit) lines can be displayed on the chart. The SL is calculated by taking the distance from the close of the current candle to the high/low of the previous candle and multiplying it by 2.
In the settings, you can alter the Risk Reward Ratio (RRR) of the trade. Given the pullback nature of this indicator, a RRR of 1:1 is deemed logical, thus set as the default value.
Bullish vs. Bearish Candle Counter:
An additional feature of this indicator is its ability to analyze the last 100 candles to ascertain the ratio of bullish to bearish candles. When a 60% threshold is reached, the chart background color alters accordingly. This feature was conceived after a thorough analysis of over 50,000 candles of a currency pair revealed nearly identical counts of bullish and bearish candles, suggesting a market tendency to maintain this balance.
Within the settings, you have the flexibility to modify the number of candles to be analyzed and the percentage threshold for each candle type.
Should you have any ideas on how to enhance the accuracy of this indicator, or suggestions for other indicators that could improve the signals, feel free to leave a comment.
Trend Gaussian Channels [DeltaAlgo]This Script Introduces The Use Of The Gaussian Channel Concepts
This indicator consists of three lines: a central line that represents the moving average, and an upper and lower band that represent the volatility of the price movements.
The Gaussian channels is a concept consists of an upper & lower bands along with the basis; the mid band. The use of the Gaussian bands are simple, as described below.👇
Use Case:
There are many ways the Gaussian channel indicator can be used!
1. Look for the price to touch or cross the upper/lower bands of the Gaussian Channel Indicator. This indicates that the price has reached an high level of volatility. a reversal or correction may be imminent.
2. Wait for confirmation of the potential reversal or correction. This can be in the form of a bearish or bullish candlestick pattern, or a signal from another technical indicator.
a. For this reason I have implemented some signals that indicate trend shifts & candle colors to clearly display the switching between a bullish sentiment or bearish.
3. Enter a trade in the direction of the reversal or correction. For example, if the price touches the upper band and a bearish candlestick pattern occurs or if you get a bearish signal, enter a short trade. If the price touches the lower band and indicates bullish candlestick pattern or bullish signal, enter a long trade.
Sometimes this band can act as a support & resistance, THIS is not always the case as it is not meant to be used as support & resistance.
YD_Divergence_RSI+CMFThe ‘YD_Divergence_RSI+CMF’ indicator can find divergence using RSI (Relative Strength Index) and CMF (Chaikin Money Flow) indicators.
📌 Key functions
1. Search pivot high and pivot low points in a certain length of price.
2. Connect pivot high to pivot high , pivot low to pivot low , forming two standards for divergence in result.
The marker then plots only the higher high, lower low lines.
(higher low and lower high in prices are referred to hidden divergence, which are not considered in this indicator)
3. Compare the two standards with RSI and CMF indicators, send an alert if there is a divergence. As a result, the indicator will find four combination of divergence.
A. Higher high price / Lower RSI (Bearish RSI Divergence)
B. Lower low price / Higher RSI (Bullish RSI Divergence)
C. Higher high price / Lower CMF (Bearish CMF Divergence)
D. Lower low price / Higher CMF (Bullish CMF Divergence)
📌 Details
Developing the indicators, we put a lot of effort in making a customizable and user-friendly interface.
#1. Pivot Setting
Users can set the length to find the pivot high / pivot low in ‘Pivot Settings – Pivot Length.’
Increased pivot Length takes more candles to interpret the chart but reduce false signals since the it uses only the most certain pivot high / pivot low values. Obviously, decreased pivot length will act the opposite.
Users can choose whether to use ‘High/Low’ or ‘Close’ in ‘Pivot Reference’ to set the swing point of prices.
Users can also choose whether to display the pivot high / pivot low marker on the chart.
#2 RSI & CMF Settings
Users can adjust the length of RSI & CMF separately. (The default values are set to 14 and 20 each.)
#3 Label Setting
Users can adjust the text displayed on the chart label. (The default values is set to ‘Bullish / Bearish’, ‘RSI/CMF’, ‘Divergence’.)
Users can reduce the length of text label or simply turn the label off. Just click the ‘Bull/Bear’ or ‘None’ button. ‘Divergence’ works the same.
Users can decide whether to display the ‘Divergence Line and Label’, set custom settings for the label and line. (color, thickness, style, etc)
📌 Alert
Alert are provided as a combination of the chart's symbol and the set label text. For example,
‘BINANCE:BTCUSDT.P, Bullish RSI Divergence’
====================================================
"YD_Divergence_RSI+CMF" 지표 는 RSI와 CMF 지표를 이용해서 Divergence 를 찾아낼 수 있습니다.
📌 주요 기능
1. 정해진 가격 움직임 안에서 pivot high와 pivot low 포인트 를 찾아냅니다.
2. Pivot high로만 이어진 라인과, Pivot low로만 이어진 두 라인을 작도한 뒤 divergence의 기준으로 삼습니다.
이 지표에서는 normal divergence만 사용하기 때문에 차트에 higher high와 lower low만 표기 합니다.
(higher low와 lower high는 hidden divergence로 정의되며, 이 지표에서는 다루지 않습니다.
3. 두 기준선과 RSI, CMF 지표를 각각 비교하고, 결과적으로 4개의 조합을 구할 수 있습니다.
A. Higher high price / Lower RSI (Bearish RSI Divergence)
B. Lower low price / Higher RSI (Bullish RSI Divergence)
C. Higher high price / Lower CMF (Bearish CMF Divergence)
D. Lower low price / Higher CMF (Bullish CMF Divergence)
📌 세부 사항
지표를 개발하며 사용자들이 원하는 방향으로 지표를 설정할 수 있게 작업에 많은 공을 들였습니다. 굉장히 다양한 옵션을 선택할 수 있으며, 원하는 방식으로 지표를 사용할 수 있습니다.
#1 Pivot Setting
Pivot setting에서는 Pivot Length를 변경할 수 있습니다.
Pivot Length를 늘릴 경우, 보다 확실한 Swing High와 Swing Low만을 사용하게 되므로, False signal이 줄어들 수 있습니다. 하지만 Swing High/ Low를 판정하는 데에 더 긴 시간이 걸리게 되므로, Signal이 다소 늦게 발생하는 단점이 생기게 됩니다.
Pivot Length를 줄일 경우, 반대로 Swing High/Low의 판정이 더 빨리 일어나기 때문에, Signal을 거래에 이용하기는 좋을 수 있습니다. 다만, Swing High와 Low가 훨씬 더 잦은 빈도로 발생하기 때문에 False Signal을 줄 가능성이 높아집니다.
Pivot Reference에서는 가격의 Swing Point를 설정함에 있어, High/Low(고가/저가)를 이용할 지 Close (종가)를 이용할 지 선택할 수 있습니다.
Pivot High/Low Marker를 선택할 경우 Pivot High/ Low에 Marker가 찍히게 됩니다.
#2 RSI와 CMF Setting
RSI와 CMF Setting에서는 RSI와 CMF의 길이를 각각 설정할 수 있습니다. 기본값은 14와 20으로 설정되어 있습니다.
#3 Label Setting
Label Setting에서는 Label에 표시되는 글자를 선택할 수 있습니다.
기본값은 "Bullish / Bearish", "RSI/CMF", "Divergence"로 선택되어 있으며, 너무 길다고 느껴질 경우 "Bull/Bear" 혹은 "None"을 클릭하여 길이를 줄일 수 있습니다. 마찬가지로 Divergence의 경우도 생략이 가능합니다.
하단에서는 Divergence Line과 Label을 켜고 끌 수 있으며, 선의 색깔, 굵기, 종류, 그리고 Label의 색깔, 크기, 종류를 선택할 수 있습니다. Label의 Text 색 역시 변경이 가능합니다.
📌 얼러트
얼러트는 자신이 설정한 차트의 심볼과 Label의 문구의 조합으로 제공되며 예를 들면 다음과 같습니다.
"BINANCE:BTCUSDT.P, Bullish RSI Divergence"
TPG.Buy sell RSI Scapl XAUThis is a tool that is widely used
Especially for Overbought and Oversold systems, but I have made some changes in this indicator,
How to use it...
I have set it as the default setting
- RSI Length: 6 (<10 for scalping - 5m-15m)
- Overbought: 70
- Oversold: 30
What is unique about this tool?
we can see 3 conditions:
1) RSI Overbought / Oversold with Bullish Engulfing / Bearish Engulfing
2) RSI Overbought / Oversold with Hammer and Shooting Star
3) RSI Overbought / Oversold with 2 Bullish Bars / 2 Bearish Bars
4) RSI Overbought / Oversold with All Patterns at the same time
When the RSI reaches its Oversold line, the code will wait for Bullish Engulfing pattren, when oversold and Bullish engulfing matched, This indicator will generate a buy signal when the condition is met,
and same as for Bear market, When the RSI reaches its Overbought line, the code will wait for Bearish Engulfing pattren, This indicator will generate a sell/exit signal when the condition is met,
2nd condition is that a Hammer candle will be waited for when RSI touches the Overbought line, for Bullish Move
and Shooting Star candle will be waited for when RSI touches the Overbought line, for Bullish Move, for Bearish Move
3rd Condition is also the same as Condition 1 and Condition 2,
When the RSI reaches its Oversold line, the code will wait for 2 Bullish Bars, when oversold and 2 Bullish Bars matched then this indicator will generate a buy signal, and same as for Bear market,
When the RSI reaches its Overbought line, the code will wait for 2 Bearish Bars, when overbought and 2 Bearish Bars matched then this indicator will generate a Sell signal,
4th Condition is that we can use All Conditions at the same time,
- Bullish Engulfing / Bearish Engulfing
- Hammer and Shooting Star
- 2 Bullish Bars / 2 Bearish Bars
Volatility Adjusted Composite RSI with SMA and EMA SignalsOverview
The script "VAC - RSI with SMA and EMA Signals" combines the traditional Relative Strength Index (RSI) with Time-based RSI (T-RSI), and adjusts it for volatility to create a Composite RSI (C-RSI). The script further uses Simple Moving Average (SMA) and Exponential Moving Average (EMA) to generate signals for potential trading opportunities. In the "VAC - RSI with SMA and EMA Signals" script, the combination of price, time, and volatility works as follows:
Price: The script calculates the traditional RSI based on price changes over a specified period.
Time: Alongside the price-based RSI, a Time-based RSI (T-RSI) is calculated, which considers the number of upward and downward closes over the same period.
Volatility: Volatility is integrated into the Composite RSI (C-RSI) by adjusting it with a Z-score based on a standard deviation of closing prices.
These three factors work together to create a more holistic and robust indicator.
How can it be used?
This script is used to identify potential overbought and oversold conditions in the market. It plots the VAC-RSI, SMA, and EMA on a chart, along with overbought and oversold levels, providing visual signals to the trader. When the EMA is below the SMA, it is a bullish signal, and vice versa for a bearish signal.
Default Values for Different Inputs:
Price RSI Weightage (%): 65
Unified Period for RSI & T-RSI: 14
C-RSI SMA Period: 13
C-RSI EMA Period: 33
C-RSI Bull Trend Support: 35
C-RSI Bear Trend Resistance: 65
Use Volatility Adjusted C-RSI (VAC-RSI): true
Standard Deviation Period: 14
Volatility Scaling Factor (α): 5
These values can be adjusted according to the trading strategy to optimize the signals for different assets or timeframes.
Strategies this Can be Used for:
The script can be used in various trading strategies including:
Trend Following: By observing the crosses of EMA and SMA, traders can follow the trend.
Reversion to the Mean: Using the overbought and oversold levels to identify potential reversal points.
Breakout: Identifying breakout points using the Bull and Bear Market Support and Resistance levels.
Comparison with the Standard Indicator:
Enhanced Sensitivity to Market Conditions
Improved Signal Quality
Versatility
Volatility Adjustment
Interpretation of Output Values:
VAC-RSI Value:
The script provides additional overbought (80) and oversold (20) lines to help identify extreme conditions.
SMA and EMA Values:
When the EMA is below the SMA, it is generally considered a bullish signal.
When the EMA is above the SMA, it is generally considered a bearish signal.
The cross of EMA and SMA can be used as a trigger for entry or exit points.
Bull and Bear Market Support and Resistance Lines:
The Bull Market VAC-RSI Support (default at 35) and Bear Market VAC-RSI Resistance (default at 65) lines can be used to identify potential breakout or breakdown points.
In a bull market, if the VAC-RSI stays above the support line, it indicates a strong uptrend.
In a bear market, if the VAC-RSI stays below the resistance line, it indicates a strong downtrend.
AI SuperTrend - Strategy [presentTrading]
█ Introduction and How it is Different
The AI Supertrend Strategy is a unique hybrid approach that employs both traditional technical indicators and machine learning techniques. Unlike standard strategies that rely solely on traditional indicators or mathematical models, this strategy integrates the power of k-Nearest Neighbors (KNN), a machine learning algorithm, with the tried-and-true SuperTrend indicator. This blend aims to provide traders with more accurate, responsive, and context-aware trading signals.
*The KNN part is mainly referred from @Zeiierman.
BTCUSD 8hr performance
ETHUSD 8hr performance
█ Strategy, How it Works: Detailed Explanation
SuperTrend Calculation
Volume-Weighted Moving Average (VWMA): A VWMA of the close price is calculated based on the user-defined length (len). This serves as the central line around which the upper and lower bands are calculated.
Average True Range (ATR): ATR is calculated over a period defined by len. It measures the market's volatility.
Upper and Lower Bands: The upper band is calculated as VWMA + (factor * ATR) and the lower band as VWMA - (factor * ATR). The factor is a user-defined multiplier that decides how wide the bands should be.
KNN Algorithm
Data Collection: An array (data) is populated with recent n SuperTrend values. Corresponding labels (labels) are determined by whether the weighted moving average price (price) is greater than the weighted moving average of the SuperTrend (sT).
Distance Calculation: The absolute distance between each data point and the current SuperTrend value is calculated.
Sorting & Weighting: The distances are sorted in ascending order, and the closest k points are selected. Each point is weighted by the inverse of its distance to the current point.
Classification: A weighted sum of the labels of the k closest points is calculated. If the sum is closer to 1, the trend is predicted as bullish; if closer to 0, bearish.
Signal Generation
Start of Trend: A new bullish trend (Start_TrendUp) is considered to have started if the current trend color is bullish and the previous was not bullish. Similarly for bearish trends (Start_TrendDn).
Trend Continuation: A bullish trend (TrendUp) is considered to be continuing if the direction is negative and the KNN prediction is 1. Similarly for bearish trends (TrendDn).
Trading Logic
Long Condition: If Start_TrendUp or TrendUp is true, a long position is entered.
Short Condition: If Start_TrendDn or TrendDn is true, a short position is entered.
Exit Condition: Dynamic trailing stops are used for exits. If the trend does not continue as indicated by the KNN prediction and SuperTrend direction, an exit signal is generated.
The synergy between SuperTrend and KNN aims to filter out noise and produce more reliable trading signals. While SuperTrend provides a broad sense of the market direction, KNN refines this by predicting short-term price movements, leading to a more nuanced trading strategy.
Local picture
█ Trade Direction
The strategy allows traders to choose between taking only long positions, only short positions, or both. This is particularly useful for adapting to different market conditions.
█ Usage
ToolTips: Explains what each parameter does and how to adjust them.
Inputs: Customize values like the number of neighbors in KNN, ATR multiplier, and moving average type.
Plotting: Visual cues on the chart to indicate bullish or bearish trends.
Order Execution: Based on the generated signals, the strategy will execute buy/sell orders.
█ Default Settings
The default settings are selected to provide a balanced approach, but they can be modified for different trading styles and asset classes.
Initial Capital: $10,000
Default Quantity Type: 10% of equity
Commission: 0.1%
Slippage: 1
Currency: USD
By combining both machine learning and traditional technical analysis, this strategy offers a sophisticated and adaptive trading solution.
Show-BiasThe script looks at the current bar and prints the bullishness or bearishness bias based on the high, low and close values.
Bullish bias:
----------------
Higher High
Higher Low
Higher Close
Green candle
Bearish bias:
----------------
Lower High
Lower Low
Lower Close
Red candle
Momentum Probability Oscillator [SS]This is the momentum based probability indicator.
What it does?
This takes the average of MFI, Stochastics and RSI and plots it out as an independent oscillator.
It then tracks bullish vs bearish instances. Bullish is defined as a greater move from open to high than open to low and inverse for bearish.
It stores this data and these averages and plots these levels as a graph.
The graph depicts the max bullish values at the top, the min bearish values at the bottom and the averages in between:
It will plot the average "threshold" value in yellow:
The threshold value is key. A ticker trading above the threshold is generally bullish. Below is bearish.
The threshold value frequently acts as support and resistance levels (see below):
Resistance:
Support:
The indicator also shows you the amount of time a ticker has spent in each region, over a defined lookback period (defaulted to 500):
When you see that cumulatively, more time has been spent in a bullish range or a bearish range, it can help you ascertain the prevailing sentiment at that time.
The indicator will also calculate the average price range based on the underlying oscillator value. It does this through use of ATR based techniques, as its not usually possible to calculate a price from an oscillator:
This is intended as a general reference and not a precise target, as it is using ATR as opposed to the actual technical value itself.
As this is an oscillator, you can use it to look for divergences as well. The advantage to having it formulated in this way is:
a) You get the power of all 3 indicators (stochastics, MFI and RSI) in one and
b) You are adding context to the underlying technical reading. The indicator is plotting out the average, max and min ranges for the selected ticker and performing assessments based on these ranges that add context to the current PA.
You also have the ability to see the specific technical levels associated with each specific technical indicator. If you open up the settings menu and select "Show Table", this will appear:
This will show you the exact values of each of the technicals the indicator is using in its range assessment.
And that is basically the bulk of the indicator!
I use this predominately on the smaller timeframes, especially when there is a lot of chop, to ascertain the overall sentiment.
I also will reference it on the 1 hour to see what the prevailing sentiment is and whether the stock is at an area of technical resistance or support. For example, here is what I referenced on SPY today:
QUICK NOTE:
It works best with RTH (regular trading hours) turned on and ETH (extended trading hours) turned off!
That's it!
Hopefully you like it and leave your comments and suggestions below!
AI Moving Average (Expo)█ Overview
The AI Moving Average indicator is a trading tool that uses an AI-based K-nearest neighbors (KNN) algorithm to analyze and interpret patterns in price data. It combines the logic of a traditional moving average with artificial intelligence, creating an adaptive and robust indicator that can identify strong trends and key market levels.
█ How It Works
The algorithm collects data points and applies a KNN-weighted approach to classify price movement as either bullish or bearish. For each data point, the algorithm checks if the price is above or below the calculated moving average. If the price is above the moving average, it's labeled as bullish (1), and if it's below, it's labeled as bearish (0). The K-Nearest Neighbors (KNN) is an instance-based learning algorithm used in classification and regression tasks. It works on a principle of voting, where a new data point is classified based on the majority label of its 'k' nearest neighbors.
The algorithm's use of a KNN-weighted approach adds a layer of intelligence to the traditional moving average analysis. By considering not just the price relative to a moving average but also taking into account the relationships and similarities between different data points, it offers a nuanced and robust classification of price movements.
This combination of data collection, labeling, and KNN-weighted classification turns the AI Moving Average (Expo) Indicator into a dynamic tool that can adapt to changing market conditions, making it suitable for various trading strategies and market environments.
█ How to Use
Dynamic Trend Recognition
The color-coded moving average line helps traders quickly identify market trends. Green represents bullish, red for bearish, and blue for neutrality.
Trend Strength
By adjusting certain settings within the AI Moving Average (Expo) Indicator, such as using a higher 'k' value and increasing the number of data points, traders can gain real-time insights into strong trends. A higher 'k' value makes the prediction model more resilient to noise, emphasizing pronounced trends, while more data points provide a comprehensive view of the market direction. Together, these adjustments enable the indicator to display only robust trends on the chart, allowing traders to focus exclusively on significant market movements and strong trends.
Key SR Levels
Traders can utilize the indicator to identify key support and resistance levels that are derived from the prevailing trend movement. The derived support and resistance levels are not just based on historical data but are dynamically adjusted with the current trend, making them highly responsive to market changes.
█ Settings
k (Neighbors): Number of neighbors in the KNN algorithm. Increasing 'k' makes predictions more resilient to noise but may decrease sensitivity to local variations.
n (DataPoints): Number of data points considered in AI analysis. This affects how the AI interprets patterns in the price data.
maType (Select MA): Type of moving average applied. Options allow for different smoothing techniques to emphasize or dampen aspects of price movement.
length: Length of the moving average. A greater length creates a smoother curve but might lag recent price changes.
dataToClassify: Source data for classifying price as bullish or bearish. It can be adjusted to consider different aspects of price information
dataForMovingAverage: Source data for calculating the moving average. Different selections may emphasize different aspects of price movement.
-----------------
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!
Liquidity Voids (FVG) [LuxAlgo]The Liquidity Voids (FVG) indicator is designed to detect liquidity voids/imbalances derived from the fair value gaps and highlight the distribution of the liquidity voids at specific price levels.
Fair value gaps and liquidity voids are both indicators of sell-side and buy-side imbalance in trading. The only difference is how they are represented in the trading chart. Liquidity voids occur when the price moves sharply in one direction forming long-range candles that have little trading activity, whilst a fair value is a gap in price.
🔶 USAGE
Liquidity can help you to determine where the price is likely to head next. In conjunction with higher timeframe market structure, and supply and demand, liquidity can give you insights into potential price movement. It's essential to practice using liquidity alongside trend analysis and supply and demand to read market conditions effectively.
The peculiar thing about liquidity voids is that they almost always fill up. And by “filling”, we mean the price returns to the origin of the gap. The reason for this is that during the gap, an imbalance is created in the asset that has to be made up for. The erasure of this gap is what we call the filling of the void. And while some voids waste no time in filling, some others take multiple periods before they get filled.
🔶 SETTINGS
The script takes into account user-defined parameters and detects the liquidity voids based on them, where detailed usage for each user-defined input parameter in indicator settings is provided with the related input's tooltip.
🔹 Liquidity Detection
Liquidity Voids Threshold: Act as a filter while detecting the Liquidity Voids. When set to 0 basically means no filtering is applied, increasing the value causes the script to check the width of the void compared to a fixed-length ATR value
Bullish: Color customization option for Bullish Liquidity Voids
Bearish: Color customization option for Bearish Liquidity Voids
Labels: Toggles the visibility of the Liquidity Void label
Filled Liquidity Voids: Toggles the visibility of the Filled Liquidity Voids
🔹 Display Options
Mode: Controls the lookback length of detection and visualization
# Bars: Lookback length customization, in case Mode is set to Present
🔶 RELATED SCRIPTS
Buyside-Sellside-Liquidity
Fair-Value-Gaps
ATR VisualizerAdvance Your Market Analysis with the True Range Indicator
The True Range Indicator is a sophisticated screener meticulously developed to bolster your trading execution by presenting an exceptional understanding of the market direction. The centerpiece of this instrument is a distinctive candle configuration depicting the Average True Range (ATR) and the Bear/Bull range. However, it traverses beyond the conventional channels to offer specific market settings to boost your trading decisions.
User-Defined Settings
Broadly, the indicator offers five dynamic settings:
Bear/Bull Range
The Bear/Bull Range outlines the ATR for each candle type - bearish and bullish - and then smartly opts for the pertinent one based on the prevalent market circumstances. This feature aids in comparing the range of bullish and bearish candlesticks, which deepens your understanding of the price action and volatility.
Bearish Range
The Bearish Range isolates and computes the ATR for bearish candles solely. Utilizing this option spots the bear-dominated periods and provides insights about potential market reversals or downward continuations.
Bullish Range
Opposite to the Bearish Range, the Bullish Range setting tabulates the ATR exclusively for bullish candles. It assists in tracking the periods when bulls control, enlightening traders about the possibility of upward continuations or trend reversals.
Average Range
The Average Range provides an unbiased measure of range without prioritizing either bull or bear trends. This model is ideal for traders looking for a holistic interpretation of market behavior, regardless of direction.
Cumulative Average Range
Equally significant is the Cumulative Average Range which calculates the aggregate moving average of the true ranges for an expressed period. This setting is extremely valuable when evaluating the long-term volatility and spotting potential breakouts.
Dual Candle Configuration
Going a step ahead, the True Range Indicator uniquely offers the possibility to incorporate more than one candle estimate on your screen. This ensures simultaneous analysis of multiple market dynamics, thereby enhancing your trading precision multifold.
Concluding Thoughts
In essence, the True Range Indicator is an indispensable companion for traders looking to not only leverage market volatility but also make educated predictions. Equipped with an array of insightful market settings and the ability to display dual candle estimates on-screen, you can customize the functionality to suit your unique trading style and magnify your market performance dramatically.
ADW - MomentumADW - Momentum is a trading indicator based on the Relative Momentum Index (RMI) and Exponential Moving Averages (EMAs). This indicator plots the RMI along with its EMAs and highlights regions where RMI crosses its slow EMA. Additionally, it provides alerts when the momentum flips bullish or bearish.
Key Features:
The RMI helps to identify momentum in the market.
Three EMAs (Fast, Standard, and Slow) were calculated on the RMI. These can be utilized to analyze the momentum trend over different periods.
Highlighted regions and colour coding to indicate when RMI crosses its Slow EMA, signalling potential momentum shifts.
Customizable parameters: Users can specify the lengths of the RMI and EMAs, boundaries for RMI, and colours for various components of the plot.
Alerts: The script can alert users when the momentum has flipped bullish or bearish.
The script is organized into several sections:
Inputs: The user can customize several parameters including the RMI averaging length, momentum lookback, RMI boundaries, and the EMA lengths. In addition, users can also specify the colours for the RMI line, Slow EMA line, and the fill colour.
RMI Calculation: The script calculates the RMI based on the user-provided length and momentum lookback. This is done by first calculating two EMAs - one for the positive differences between closing prices (emaInc), and one for the negative differences (emaDec). Then, the RMI is computed using these EMAs.
Plotting: The script plots the RMI line, Slow EMA line, and two horizontal lines indicating the RMI boundaries. In addition, it also fills the region between the RMI and Slow EMA lines.
Conditions: The script computes the conditions for bullish and bearish momentum flips. These are defined as when the RMI crosses above or below the Slow EMA respectively.
Alerts: Finally, the script sets up two alert conditions based on the bullish and bearish conditions. These alert the user when the momentum has flipped bullish or bearish, with a message that includes the current RMI value.
Leveraged Share VolumeHello everyone,
Did this quick reference indicator and figured I would share it as nothing like it exists that I could find.
What this does is it pulls leveraged share data and displays the bull share and bear share volume.
There are 5 pre-programmed shares. These include:
SPY
Pulls bull share data from: SPXL and UPRO
Pulls bear share data from: SPXU and SPXS
IWM
Pulls bull share data from: TNA
Pulls bear share data from: TZA
DIA
Pulls bull share data from: UDOW
Pulls bear share data from: SDOW
QQQ
Pulls bull share data from: TQQQ
Pulls bear share data from: SQQQ
XLE
Pulls bull share data from: ERX
Pulls bear share data from: ERY
As there continues to be more leveraged shares available (for example, AAPU, APPD, MSFT, TSLA, etc.) there is also the option to use these manual tickers as these shares become available. The image below shows the data input screen:
The indicator will default to show the data as a ratio. The ratio is calculated by the total bear shares over the total bull shares (sell to buy ratio). If you unselect the Ratio option (displayed in the image above), it will show the raw volume.
When data is displayed as a ratio, you will see the white SMA line. This will show you the average ratio over a 14 period lookback. This is customizeable under the SMA Length input (shown in the image above).
Indicator's purpose:
The aim of the indicator is to provide context as to where the current sentiment is. Its similar in concept to a put to call ratio. The idea is, the more bearish people are, the more inverse shares are being bought, the higher the ratio or raw volume for bear shares and vice versa for bullish situations.
If you would like some more contextual information about the powers of tracking this type of data for trading purposes, you can check out this idea I published about the relationship between leveraged shares and market sentiment/behaviour:
Otherwise, the indicator is pretty straight forward!
Its not meant to be anything but a reference indicator to help give you context of the current market positioning.
If you have any questions or suggestions, please feel free to leave them below.
Thank you for reading and checking out the indicator!
Safe trades everyone!
Volatility patterns / quantifytools- Overview
Volatility patterns detect various forms of indecisive price action, on a larger scale as a compressed range and on a smaller scale as indecision candles. Indecisive and volatility suppressing price action can be thought of as a spring being pressed down. The more suppression, the more tension is built and eventually released as a spike or series of spikes in volatility. Each volatility pattern is assigned an influence period, during which average and peak relative volatility is recorded and stored to volatility metrics.
- Patterns
The following scenarios are qualified as indecision candles: inside candles, indecision engulfing candles and volatility shifts.
By default, each indecision candle is considered a valid pattern only when another indecision candle has taken place within 3 periods, e.g. prior inside candle + indecision engulfing candle = valid volatility pattern. This measurement is taken to filter noise by looking for multiple hints of pending volatility, rather than just one. Level of tolerated noise can be changed via input menu by using sensitivity setting, by default set to 2.
Sensitivity at 1: Any single indecision candle is considered a valid pattern
Sensitivity at 2: 2 indecision candles within 3 bars is considered a valid pattern
Sensitivity at 3: 2 indecision candles within 2 bars (consecutive) is considered a valid pattern
The following scenarios are qualified as range patterns: series of lower highs/higher lows and series of low volatility pivots.
A pivot is defined by highest/lowest point in price, by default within 2 periods back and 2 periods forward. When 4 pivots with qualities mentioned above are found, a box indicating compressed range will appear. Both required pivots and pivot definition can be adjusted via input menu.
- Influence time and metrics
By default, influence time for each volatility pattern is set to 6 candles, a period for which spike(s) in volatility is expected. For each influence period, average relative volatility (volatility relative to volatility SMA 20) and peak relative volatility is recorded and stored to volatility metrics. All metrics used in calculations are visible in "Data Window "tab. Average and peak volatility during influence period will vary depending on chart, timeframe and chosen settings. Tweaking the settings might result in an improvement and is worth experimenting with.
- Visuals
By default, indecision candles are visualized as yellow lines and range patterns as orange boxes. Influence time periods are respectively visualized as colored candle borders, applied as long as influence time period is active. All colors are fully customizable via input menu.
- Practical guide
Volatility patterns depict moments of equal strength from both bulls and bears. While this equilibrium is in place, price is stagnant and compresses until either side initiates volatility, releasing the built up tension. On top of hedging and playing the volatility using volatility based instruments, some other methods can be applied to take advantage of the somewhat tricky areas of indecision.
Example #1: Trading volatility
Volatility is not a bad thing from a trading perspective, but can actually be fertile ground for executing trade setups. Trading volatility influence periods from higher timeframes on lower timeframes gives greater resolution to work with and opportunities to take advantage of the wild swings created.
Example #2: Finding bias for patterns
Points of confluence where it anyway makes sense to favor one side over the other can be used for establishing bias for indecisive price action as well. At face value, it makes sense to expect bearish reactions at range highs and bullish reactions at range low, for which volatility patterns can provide a catalyst.
Example #3: Betting on initiation direction
Betting on direction of the first volatile move can easily go against you, but if risk/reward is able to compensate for the poor win rate, it's a valid idea to consider and explore.
