Kalman Trend Strength Index (K-TSI)The Kalman Trend Strength Index (K-TSI) is an innovative technical indicator that combines the Kalman filter with correlation analysis to measure trend strength in financial markets. This sophisticated tool aims to provide traders with a more refined method for trend analysis and market dynamics interpretation.
The use of the Kalman filter is a key feature of the K-TSI. This advanced algorithm is renowned for its ability to extract meaningful signals from noisy data. In financial markets, this translates to smoothing out price action while maintaining responsiveness to genuine market movements. By applying the Kalman filter to price data before performing correlation analysis, the K-TSI potentially offers more stable and reliable trend signals.
The synergy between the Kalman-filtered price data and correlation analysis creates an oscillator that attempts to capture market dynamics more effectively. The correlation component contributes by measuring the strength and consistency of price movements relative to time, while the Kalman filter adds robustness by reducing the impact of market noise. Basing these calculations on Kalman-filtered data may help reduce false signals and provide a clearer picture of underlying market trends.
A notable aspect of the K-TSI is its normalization process. This approach adjusts the indicator's values to a standardized range (-1 to 1), allowing for consistent interpretation across different market conditions and timeframes. This flexibility, combined with the noise-reduction properties of the Kalman filter, positions the K-TSI as a potentially useful tool for various market environments.
In practice, traders might find that the K-TSI offers several potential benefits:
Smoother trend identification, which could aid in detecting the start and end of trends more accurately.
Possibly reduced false signals, particularly in choppy or volatile markets.
Potential for improved trend strength assessment, which might lead to more confident trading decisions.
Consistent performance across different timeframes, due to the adaptive nature of the Kalman filter and the normalization process.
The K-TSI's visual representation as a color-coded histogram further enhances its utility. The changing colors and intensities provide an intuitive way to gauge both the direction and strength of trends, making it easier for traders to quickly assess market conditions.
While the K-TSI builds upon existing concepts in technical analysis, its integration of the Kalman filter with correlation analysis offers traders an interesting tool for market analysis. It represents an attempt to address common challenges in technical analysis, such as noise reduction and trend strength quantification.
As with any technical indicator, the K-TSI should be used as part of a broader trading strategy rather than in isolation. Its effectiveness will depend on how well it aligns with a trader's individual approach and market conditions. For traders looking to explore a more refined trend strength oscillator, the Kalman Trend Strength Index could be a worthwhile addition to their analytical toolkit.
True Strength Index (TSI)
Xtrender and TSI FusionXtrender and TSI Fusion Indicator
I created this indicator for myself. I was inspired by the indicators created by Bjorgum, Duyck and QuantTherapy and decided to create multiple indicators that either work well combined with their indicators or something new that applies some of their indicator concepts. I decided to share all of the indicator I have created because I believe in learning and earing together as a community. If you guys have any questions or suggestions write them.
Overview: The Xtrender and TSI Fusion Indicator is a powerful tool designed to help traders analyze market momentum, trends, and potential reversals. By combining Xtrender with the True Strength Index (TSI), this indicator provides a comprehensive view of market dynamics, making it easier to identify trading opportunities.
Image: Timeframe is set to daily
Features:
1.Xtrender Analysis:
Short-Term Xtrender: Visualizes short-term momentum using RSI-based calculations on EMA differences. This helps in identifying immediate market trends and pullbacks.
Image above: showcases Short-Term Xtrender
Xtrender T3: A smoothed version of the Xtrender that reduces noise and highlights significant trend changes.
Image above: showcases Xtrender T3 with Xtrender T3 color
2.TSI (True Strength Index):
TSI Value: Measures momentum by comparing price changes over two time periods, offering a clear view of trend strength.
TSI Signal Line: A smoothed version of the TSI value, used to generate buy and sell signals when crossed by the TSI.
Image: showcases TSI Value with TSI Signal Line
TSI Histogram: Shows the difference between the TSI and its signal line, highlighting potential reversals and trend continuations.
Image: showcases TSI Histogram
3.Color Coding and Visual Cues:
Trend Colors: The indicator uses dynamic colors to represent bullish or bearish conditions, making it easy to interpret market sentiment.
Background Color : The background changes color based on TSI signals, further aiding in visual trend analysis.
Image: showcases Background color and Zero line
How to Use
1.Xtrender Analysis:
Short-Term Xtrender: The short-term Xtrender is plotted as columns, changing color based on its direction and value. Green or lime indicates positive momentum, while red or maroon indicates negative momentum.
Xtrender T3: The Xtrender T3 line (black) represents a smoothed version of the short-term Xtrender, providing a clearer picture of the overall trend. The color of this line changes based on the Xtrender's value, helping you spot potential trend changes.
2.TSI (True Strength Index):
TSI Value and Signal Line: The TSI value is plotted as a line, with its color changing based on its relationship to the signal line. A crossover of the TSI above the signal line suggests a potential bullish move, while a crossover below indicates a bearish trend.
TSI Histogram: The histogram represents the difference between the TSI and its signal line. Positive values indicate bullish momentum, while negative values suggest bearish momentum.
3.Background Color:
The background color changes based on the TSI signal, with a greenish hue indicating bullish conditions and a reddish hue indicating bearish conditions. This provides a quick visual reference for market sentiment.
4.Zero Line:
A horizontal gray dotted line at the zero level helps you easily identify when the Xtrender or TSI crosses into positive or negative territory, signaling potential trend shifts.
Image above: Timeframe on daily with the individual elements combined
Example of Use:
•Trend Confirmation: Use the Xtrender and Xtrender T3 to confirm the direction of the trend. If both are aligned with the same color and direction, it increases the probability of a strong trend.
•Momentum Reversals: Watch for TSI crosses and histogram shifts to identify potential reversals. For example, a TSI crossover above its signal line with a corresponding change in the histogram from negative to positive could signal a buying opportunity.
•Pullbacks: Identify pullbacks within a trend by observing temporary shifts in the short-term Xtrender or TSI histogram. Use these signals to enter trades in the direction of the overall trend.
Image above: Showcases, Trend confirmation, reversal and pullbacks on daily timeframe.
Customization:
•TSI Speed: Choose between "Fast" and "Slow" TSI settings based on your trading style. Fast settings are more responsive to price changes, while slow settings offer smoother signals.
•Color Settings: Customize the colors for bullish, bearish, and neutral TSI conditions to match your personal preferences or chart theme.
This indicator is versatile and can be used for various trading strategies, from trend following to momentum trading, making it a valuable tool in any trader's arsenal.
My Scripts/Indicators/Ideas /Systems that I share are only for educational purposes
TSI w SuperTrend decision - Strategy [presentTrading]This strategy aims to improve upon the performance of Traidngview's newly published "Trend Strength Index" indicator by incorporating the SuperTrend for better trade execution and risk management. Enjoy :)
█ Introduction and How it is Different
The "TSI with SuperTrend Decision - Strategy" combines the Trend Strength Index (TSI) with SuperTrend indicators to determine entry and exit points. Unlike traditional strategies that rely solely on one indicator, this method leverages the strengths of both TSI and SuperTrend to provide a more nuanced and adaptive trading strategy.
This dual approach allows for capturing trends more effectively, especially in volatile markets.
BTCUSD 8h LS Performance
█ Strategy, How it Works: Detailed Explanation
🔶 Trend Strength Index (TSI)
The TSI is a momentum oscillator that shows both the direction and strength of a trend. It is calculated by comparing the price movement with the bar index over a specified period. The formula for TSI is as follows:
```
TSI = (PC / |PC|)
where:
PC = Change in price over the period
```
In this strategy, TSI is calculated using the closing prices and a default period of 64 bars. The TSI values help identify overbought and oversold conditions, providing signals for potential market reversals.
🔶 SuperTrend Indicator
The SuperTrend is a trend-following indicator based on the average true range (ATR). It helps in identifying the direction of the market trend. The SuperTrend calculation involves:
```
SuperTrend = HLC3 ± (Factor * ATR)
where:
HLC3 = (High + Low + Close) / 3
Factor = User-defined multiplier
ATR = Average True Range over a period
```
The SuperTrend settings in this strategy include a length of 10 bars and a factor of 3.0.
Last Bull Cycle of BTC
🔶 Entry and Exit Conditions
The strategy uses the TSI and SuperTrend together to determine entry and exit points:
- Long Entry: When the SuperTrend indicates a downward trend (st.d < 0) and the TSI is above the oversold level (-0.241).
- Long Exit: When the SuperTrend indicates an upward trend (st.d > 0) and the TSI is below the overbought level (0.241).
- Short Entry: When the SuperTrend indicates an upward trend (st.d > 0) and the TSI is below the overbought level (0.241).
- Short Exit: When the SuperTrend indicates a downward trend (st.d < 0) and the TSI is above the oversold level (-0.241).
█ Trade Direction
The strategy allows users to select the trade direction through the `tradeDirection` input. The options are:
- Both: Enables both long and short trades.
- Long: Enables only long trades.
- Short: Enables only short trades.
█ Default Settings
- TSI Length: 64
- SuperTrend Length: 10
- SuperTrend Factor: 3.0
- Trade Direction: Both
- Take Profit (%): 30.0
- Stop Loss (%): 20.0
Impact of Default Settings
- TSI Length: A longer TSI period smooths out noise but may lag in identifying trends. A shorter period is more responsive but can generate false signals.
- SuperTrend Length: A shorter length provides quicker signals but can be prone to whipsaws. A longer length is more reliable but may delay entries and exits.
- SuperTrend Factor: A higher factor increases the distance of the SuperTrend from the price, reducing sensitivity to minor price fluctuations.
- Trade Direction: Allows flexibility in trading strategies by enabling both long and short trades based on market conditions.
- Take Profit and Stop Loss: These settings manage risk by automatically closing trades at predefined profit or loss levels. Higher percentages provide larger potential gains but also higher risk.
Heikin Ashi TSI and OTT [Erebor]TSI (True Strength Index)
The TSI (True Strength Index) is a momentum-based trading indicator used to identify trend direction, overbought/oversold conditions, and potential trend reversals in financial markets. It was developed by William Blau and first introduced in 1991.
Here's how the TSI indicator is calculated:
• Double Smoothed Momentum (DM): This is calculated by applying double smoothing to the price momentum. First, the single smoothed momentum is calculated by subtracting the smoothed closing price from the current closing price. Then, this single smoothed momentum is smoothed again using an additional smoothing period.
• Absolute Smoothed Momentum (ASM): This is calculated by applying smoothing to the absolute value of the price momentum. Similar to DM, ASM applies a smoothing period to the absolute value of the difference between the current closing price and the smoothed closing price.
• TSI Calculation: The TSI is calculated as the ratio of DM to ASM, multiplied by 100 to express it as a percentage. Mathematically, TSI = (DM / ASM) * 100.
The TSI indicator oscillates around a centerline (typically at zero), with positive values indicating bullish momentum and negative values indicating bearish momentum. Traders often look for crossovers of the TSI above or below the centerline to identify shifts in momentum and potential trend reversals. Additionally, divergences between price and the TSI can signal weakening trends and potential reversal points.
Pros of the TSI indicator:
• Smoothed Momentum: The TSI uses double smoothing techniques, which helps to reduce noise and generate smoother signals compared to other momentum indicators.
• Versatility: The TSI can be applied to various financial instruments and timeframes, making it suitable for both short-term and long-term trading strategies.
• Trend Identification: The TSI is effective in identifying the direction and strength of market trends, helping traders to align their positions with the prevailing market sentiment.
Cons of the TSI indicator:
• Lagging Indicator: Like many momentum indicators, the TSI is a lagging indicator, meaning it may not provide timely signals for entering or exiting trades during rapidly changing market conditions.
• False Signals: Despite its smoothing techniques, the TSI can still produce false signals, especially during periods of low volatility or ranging markets.
• Subjectivity: Interpretation of the TSI signals may vary among traders, leading to subjective analysis and potential inconsistencies in trading decisions.
Overall, the TSI indicator can be a valuable tool for traders when used in conjunction with other technical analysis tools and risk management strategies. It can help traders identify potential trading opportunities and confirm trends, but it's essential to consider its limitations and incorporate additional analysis for more robust trading decisions.
Heikin Ashi Candles
Let's consider a modification to the traditional “Heikin Ashi Candles” where we introduce a new parameter: the period of calculation. The traditional HA candles are derived from the open , high low , and close prices of the underlying asset.
Now, let's introduce a new parameter, period, which will determine how many periods are considered in the calculation of the HA candles. This period parameter will affect the smoothing and responsiveness of the resulting candles.
In this modification, instead of considering just the current period, we're averaging or aggregating the prices over a specified number of periods . This will result in candles that reflect a longer-term trend or sentiment, depending on the chosen period value.
For example, if period is set to 1, it would essentially be the same as traditional Heikin Ashi candles. However, if period is set to a higher value, say 5, each candle will represent the average price movement over the last 5 periods, providing a smoother representation of the trend but potentially with delayed signals compared to lower period values.
Traders can adjust the period parameter based on their trading style, the timeframe they're analyzing, and the level of smoothing or responsiveness they prefer in their candlestick patterns.
Optimized Trend Tracker
The "Optimized Trend Tracker" is a proprietary trading indicator developed by TradingView user ANIL ÖZEKŞİ. It is designed to identify and track trends in financial markets efficiently. The indicator attempts to smooth out price fluctuations and provide clear signals for trend direction.
The Optimized Trend Tracker uses a combination of moving averages and adaptive filters to detect trends. It aims to reduce lag and noise typically associated with traditional moving averages, thereby providing more timely and accurate signals.
Some of the key features and applications of the OTT include:
• Trend Identification: The indicator helps traders identify the direction of the prevailing trend in a market. It distinguishes between uptrends, downtrends, and sideways consolidations.
• Entry and Exit Signals: The OTT generates buy and sell signals based on crossovers and direction changes of the trend. Traders can use these signals to time their entries and exits in the market.
• Trend Strength: It also provides insights into the strength of the trend by analyzing the slope and momentum of price movements. This information can help traders assess the conviction behind the trend and adjust their trading strategies accordingly.
• Filter Noise: By employing adaptive filters, the indicator aims to filter out market noise and false signals, thereby enhancing the reliability of trend identification.
• Customization: Traders can customize the parameters of the OTT to suit their specific trading preferences and market conditions. This flexibility allows for adaptation to different timeframes and asset classes.
Overall, the OTT can be a valuable tool for traders seeking to capitalize on trending market conditions while minimizing false signals and noise. However, like any trading indicator, it is essential to combine its signals with other forms of analysis and risk management strategies for optimal results. Additionally, traders should thoroughly back-test the indicator and practice using it in a demo environment before applying it to live trading.
The following types of moving average have been included: "SMA", "EMA", "SMMA (RMA)", "WMA", "VWMA", "HMA", "KAMA", "LSMA", "TRAMA", "VAR", "DEMA", "ZLEMA", "TSF", "WWMA". Thanks to the authors.
Thank you for your indicator “Optimized Trend Tracker”. © kivancozbilgic
Thank you for your programming language, indicators and strategies. © TradingView
Kind regards.
© Erebor_GIT
SMIIO + VolumeThis indicator generates long and short signals.
The operation of the indicator is as follows;
First, true strength index is calculated with closing prices. We call this the "ergodic" curve.
Then the average of the ergodic (ema) is calculated to obtain the "signal" curve.
To calculate the "oscillator", the signal is subtracted from ergodic (oscillator = ergodic - signal).
The last variable to be used in the calculation is the average volume, calculated with sma.
Calculation for long signal;
- If the ergodic curve cross up the zero line (ergodic > 0 AND ergodic < 0) and,
- If the current oscillator is greater than the previous oscillator (oscillator > oscillator ) and,
- If the current ergonic is greater than the previous signal (ergonic > signal) and,
- If the current volume is greater than the average volume (volume > averageVolume) and,
- If the current candle closing price is greater than the opening price (close > open)
If all the above conditions are fullfilled, the long input signal is issued with "Buy" label.
Calculation for short signal;
- If the ergodic curve cross down the zero line (ergodic < 0 AND ergodic > 0) and,
- If the current oscillator is smaller than the previous oscillator (oscillator < oscillator ) and,
- If the current ergonic is smaller than the previous signal (ergonic < signal) and,
- If the current volume is greater than the average volume (volume > averageVolume) and,
- If the current candle closing price is smaller than the opening price (close < open)
If all the above conditions are fullfilled, the short input signal is issued with "Sell" label.
TSI Market Timer + Volatility MeterThis is the TSI Market Timer. It is years in the making and it is comprised of four indicators in one. The stock (or source) is run through an indicator called the True Strength Indicator with settings(5,15) , then the TSI is run on both the Index(SPY) by default and what I call a Trigger line which is basically the TSI applied to the DXY (US Dollar Index).
Midline Volatility Indicator:
Lastly, we have a volatility indicator on the midline. The colors of the midline indicate levels of volatility. For the lowest volatility in the last 100 days, the dot turns dark blue. For the lowest volatility in 30 days, the dot turns aqua. For regular volatility, it remains orange. And last, for higher volatility of the last 100 days, it turns red. These are more or less arbitrary but they do come in handy.
Settings for Green/Red Shading:
Next on the indicator are the settings. You can toggle a color change between the stock/source and the index(spy). If the stock/source is greater than the index, it will color the area in between a green and if it is below the index, it will be red.
There is also a toggle for the stock/source and the trigger/DXY. This will also show green when the stock is above the trigger and red if it is below the trigger.
By turning on both of these, you get light green and dark green areas as well as red and darker red areas. The lighter green represent when the stock is above both the index and the trigger and conversely for the red areas.
Settings for vertical line crossings:
When the stock crosses the trigger/dxy line, it shows a green vertical line signal. When the stock crosses below the trigger/dxy, a red vertical line is shown.
You can turn these off by toggling them in the settings.
Stacked Condition:
Lastly, we have a "stacked condition" which shows up as a white triangle at the bottom when the condition of the stock being above the index and the trigger below the zero line.
New Highs:
If you see the stock line turn lime green, this indicates a new high was reached for the last 255 days/periods. This is like a new 52 week high signal.
Note:
This indicator is made mostly for the stock market. It may work ok during the week for crypto but using the trigger/dxy and index lines on the weekends doesn't work too well as they will be flat.
Also note that this indicator is not a recommendation to buy or sell any stock/instrument. It is only a study of market conditions. Any analysis should be followed up with volume analysis or other confirming indicators.
YinYang RSIYinYang RSI is a Momentum Oscillator. It is loosely based on the standard RSI but uses our Custom True Value Zone Algorithm. Essentially it is a stronger, more accurate RSI that isn't manipulated by consolidation. YinYang RSI moves slightly slower than the standard RSI but when it does move it is much more accurate.
Why do we deem YinYang RSI to be a more accurate RSI? Well, let's discuss some of the underlying logic behind it. YinYang RSI is derived from the High and Low data from multiple Security Requests, we send that data into a modified Donchian Channel to calculate its Basis. That basis is then taken and averaged between multiple different VWMA calculations to ‘Smooth’ it out before we send it into an RSI calculation and display the final results.
This may sound a little confusing and you may be wondering, why bother doing this? The main reason we created the YinYang RSI is to remove the fact that consolidation causes Regular RSI to go down in index value. In our opinion RSI shouldn’t go down due to consolidation. By removing consolidation from RSI it innately made the RSI more smooth and since it became more smooth there were less times it crossed the RSI Moving Average (MA). In turn, since it crosses the RSI MA less, it means when it does cross the RSI MA, it is a much stronger more accurate signal; but don’t just take our word for it! Let’s get into some examples to show you exactly how it works:
Our RSI is very smooth, because of the way we apply VWMA to it, it keeps it from being a jagged line like the regular RSI is:
Our Indicator features 3 RSI’s in it: YinYangRSI, Regular RSI and YinYang Stoch RSI. The reason there are 3 is not only for the Information Tables (we will talk about this later), but also for the fact that you can overlay them on top of each other.
Here is the same dates but with Regular RSI:
Hopefully you can see how different they are and how smooth ours is, but if not, lets overlay them so you get a better idea:
When the YinYang RSI and Regular RSI are overlaid on top of each other, the Regular RSI’s colors change for easier readability. The Regular RSI turns Pink and the Regular RSI MA turns Orange. As you can see here, they function much differently and it is quite clear that the YinYang RSI holds itself during consolidation and is more smooth.
You may be asking yourself, this is great and all, but how does it help me trade?
Well, now that you understand the difference between YinYang and Regular RSI let's discuss exactly that!
So as you can see in the image above, when the RSI crosses the RSI MA it represents a strong movement in price is likely about to occur. When the RSI is very low (20 or less) and it crosses ABOVE the RSI MA, this represents a BUY/LONG signal. When the RSI is very high (80 or above) and it crosses BELOW the RSI MA, this represents a SELL/SHORT signal.
There are times where it is a good time to buy or sell, but the RSI may not be in the right place. This is rare but it does happen. We marked a location that did exactly that with an Orange circle in the picture above. These things happen, however we don’t recommend you act on them. The main reason is that they are much more risky. Nothing will ever be 100% accurate, but the key is making decisions that are more in your favor than not. When the RSI and RSI MA cross and the RSI is near 50, it's much less accurate, however, not impossible for it to be a good signal.
Now you may be wondering, how come I see 2 SELL or 2 BUY signals before the RSI moves a lot? This is quite normal. Based on the picture above, all of the BUY and SELL signals are accurate, but not all of them have insane price movements. However, they all did feature SOME price movements. Just because a BUY or SELL (RSI and RSI MA crossing) happens, doesn’t mean the RSI is going to move all the way from 80 to 20, sometimes the price only moves a bit and then corrects back. This is completely normal.
The part that is up to you is knowing when to exit these trades. You can use the YinYang RSI to see entry locations for Long/Short, but it can be risky to assume that you can go from a BUY right to a SELL and vice versa.
Don’t fret, there is a reason we have our YinYang Stoch RSI within this indicator and its not just because we felt like it! When you overlay the YinYang RSI and YinYang Stoch RSI on top of each other, you can get a very good idea of when a signal may be over and likely it’s a good time to get out. However, first, just so you understand what our YinYang Stoch RSI does, let's take a quick look at it.
At first glance, the YinYang Stoch RSI can look pretty strange and even overwhelming, this is completely normal. It features drastic movements, but only when there is good reason to! When the blue line (K) crosses the orange line (D) it represents momentum in price. So when the blue line crosses above the orange line it means BUY and when the blue line crosses below the orange line it means SELL.
How it works with the YinYang RSI is simple, lets toggle the two of them on together in the settings:
It may look a little confusing at first, and we don’t necessarily recommend you do it for your entry as it can be a little too much and sometimes confusing, but it can be very helpful for understanding your exit and if the momentum has changed/died down. Here's an example based on our initial BUY/SELL image above:
So since we’re talking about the double SELL signal and how to know if its momentum is ending we’ve zoomed in on this example. Here we can see where the pink circle is, that the YinYang Stoch RSI has gained buy momentum and the sell momentum has likely ended here. This is canceled out however, by the fact that shortly after we see another SELL signal combined with the Stoch RSI crossing under and also showing SELL momentum. The blue Vertical lines are to show visually where the stoch crossed over/under as they can be a little hard to see visually. Also, based on this example, you can see where the orange circle is that was clearly a very good buy location and also has the stoch crossover in that location too. So even though the RSI isn’t very low, there is still a decent amount of bullish momentum in that location. Is this enough for you to make a purchase on? In our opinion, it’s still a little too risky, but maybe it fits your trading style, or maybe you decide its a good time to Dollar Cost Average / purchase just a small amount.
Now, you may be wondering, as we mentioned it early, what are those Information Tables that have been sitting on the right of every example?
These Information Tables are there to display very important Time Frame data for you. Not only can you see 6 Different Time Frames, which you can customize within your Settings. You also get to see the level of RSI and RSI MA for YinYang, Regular and YinYang Stoch RSI. Being able to see this data on multiple different Time Frames without having to change the Time Frame you are on can be very helpful, especially if you’re trading on a lower Time Frame like 15 minutes. The color of the box is based on if the RSI has crossed the MA or not. When the box is Green, the RSI is greater than the MA (Bullish). When the box is Red, the RSI is less than the MA (Bearish).
This concludes our Tutorial on how to use YinYang RSI, below you will see all of our current Settings, what they all mean and how you can customize them.
Settings:
1. Show Signals:
Signals are when the RSI crosses the RSI MA (for any RSI TYPE active). When these crosses happen, it will make a plot on the chart that represents Buy and Sell Signals. These signals have alerts that correspond with them, but you will manually need to set up these alerts yourself through the indicator. Please refer to TradingView for how to set up alerts.
2. RSI Type:
We have 3 types of RSI’s within this Indicator:
YinYang RSI
Regular RSI
YinYang Stoch RSI
These RSI’s can be used individually or overlaid on top of each other for easier comparison. It can be useful to go back and forth between indicators or have them overlaid to get a better understanding of what's going on.
2.1. YinYang RSI:
Our YinYang RSI is our custom RSI that is based on our True Value Zone Algorithm. It is the main purpose of this Indicator but can be used in conjunction with Regular RSI and YinYang Stoch RSI. YinYang RSI is a much more smooth, slow moving form of RSI that doesn’t go down from consolidation and therefore makes the RSI and RSI MA crosses much more accurate.
2.2. Regular RSI:
This is a regular RSI that is within our indicator so you can make comparisons and also overlay on top of our YinYang RSI and/or YinYang Stoch.
2.3. YinYang Stoch RSI:
This is a Stoch RSI that is calculated with our YinYang RSI’s values to create a very unique Stoch RSI. Our YinYang Stoch RSI moves very drastically and quickly when there is true momentum swings but it never really hovers in the middle. It makes its way from 0-100 and 100-0 within 2-3 candles usually and if it makes it all the way, you know there is momentum backing this price movement.
3. Information Tables:
3.1. Show Information Tables:
Our Information tables display 6 different Time Frame resolutions to give you the data of YinYang RSI/MA, Regular RSI/MA and Stoch RSI/MA over multiple different Time Frames so you don’t constantly have to keep changing yours and can focus on the trade at hand.
You can choose to display:
‘All’,
‘None’,
‘YinYang RSI’,
‘Regular RSI’,
‘YinYang Stoch RSI’
and/or any combination of the three so you can see all the data you want to your liking.
3.2. Display Tables Direction:
Since there are 6 different Time Frames shown, and you have the ability to display all 3 RSI and MA values, this table can get pretty big. If you have a large monitor and not too many indicators active it's no big deal and a vertical display is likely what you’ll want. However, if you have a smaller monitor or many Indicators active, it will scrunch this Indicator and make it difficult to see all of your Time Frames in the tables. For this reason, we have the option to display them ‘Horizontally’.
3.3. Res1 / Res2/ Res3 / Res4 / Res5 / Res6:
These represent the different resolutions (Time Frames) being used in your information tables and can be modified to display whatever resolution works best for your trading style. By default they are:
Res1: Current Timeframe
Res2: 15 Minute
Res3: 1 Hour
Res4: 4 Hour
Res5: 1 Day
Res6: 1 Week
Backup Res (not changeable): 5 Minute (this is only used if your Current Timeframe in Res1 is a duplicate of one of the other resolutions)
Alerts are available and customizable within the Indicator. You can set up an alert for any of the RSI crossing Signals.
If you have any Questions or Concerns, don’t hesitate to contact us.
HAPPY TRADING!
GP - Long Short ScannerThis script is made to predict the point at which price-time charts will rise or fall. The script was inspired by the RSI and TSI formulas. The formula is simply; Calculates the RSI and TSI values of open, high, low and close. Calculated values are converted to an array. The maximum and minimum values in the array are taken for the candles included in the calculation. These values calculate the time when the "Long" label will be seen on the chart of the candle that will increase the price. At the same time, it calculates the time when the "Short" label will appear on the chart of the candle that will decrease the price. Although these calculations are not precise; Seeing the “Long” label means that the price will rise at that candle, and seeing the “Short” label means that the price will decrease at that candle. The “Long”, “Short” tags from this script alone should not be used to determine the direction of the price. It can be used on all price-time charts.
Machine Learning Momentum Oscillator [ChartPrime]The Machine Learning Momentum Oscillator brings together the K-Nearest Neighbors (KNN) algorithm and the predictive strength of the Tactical Sector Indicator (TSI) Momentum. This unique oscillator not only uses the insights from TSI Momentum but also taps into the power of machine learning therefore being designed to give traders a more comprehensive view of market momentum.
At its core, the Machine Learning Momentum Oscillator blends TSI Momentum with the capabilities of the KNN algorithm. Introducing KNN logic allows for better handling of noise in the data set. The TSI Momentum is known for understanding how strong trends are and which direction they're headed, and now, with the added layer of machine learning, we're able to offer a deeper perspective on market trends. This is a fairly classical when it comes to visuals and trading.
Green bars show the trader when the asset is in an uptrend. On the flip side, red bars mean things are heading down, signaling a bearish movement driven by selling pressure. These color cues make it easier to catch the sentiment and direction of the market in a glance.
Yellow boxes are also displayed by the oscillator. These boxes highlight potential turning points or peaks. When the market comes close to these points, they can provide a heads-up about the possibility of changes in momentum or even a trend reversal, helping a trader make informed choices quickly. These can be looked at as possible reversal areas simply put.
Settings:
Users can adjust the number of neighbours in the KNN algorithm and choose the periods they prefer for analysis. This way, the tool becomes a part of a trader's strategy, adapting to different market conditions as they see fit. Users can also adjust the smoothing used by the oscillator via the smoothing input.
True Strength [PINESCRIPTLABS]This indicator is an implementation of the "True Strength Index" (TSI) developed by PINE_LABS for the Pine Script trading platform on TradingView. The True Strength Index is a technical indicator used to measure the strength and direction of a trend in a financial asset.
Here's an explanation of how this particular indicator works:
Buy Signal:
A buy signal is generated when the value of the True Strength Index (TSI) falls at or below the specified buy_tsi_value. This indicates a potential buying opportunity as the TSI suggests that the asset might be oversold or experiencing a potential reversal. When this condition is met, a green triangle shape is plotted below the corresponding price bar, indicating a potential buy signal.
Sell Signal:
Conversely, a sell signal is generated when the value of the TSI rises to or above the specified sell_tsi_value. This implies a potential selling opportunity as the TSI indicates that the asset might be overbought or facing a possible reversal. When this condition is met, a red triangle shape is plotted above the corresponding price bar, indicating a potential sell signal.
Note:
When we observe that the value of TSI (blue line) crosses above our parameter called TSI Sell (red Plot) it will open a sell operation, and on the contrary when our TSI (blue line) crosses below our TSI parameter ( Green Plot) will open a buy trade.
Este indicador es una implementación del "True Strength Index" (TSI) desarrollada por PINE_LABS para la plataforma de trading de Pine Script en TradingView. El True Strength Index es un indicador técnico que se utiliza para medir la fuerza y la dirección de una tendencia en un activo financiero.
Aquí hay una explicación de cómo funciona este indicador en particular:
Señal de Compra:
Una señal de compra se genera cuando el valor del Índice de Fuerza Verdadera (TSI) cae igual o por debajo del valor especificado en buy_tsi_value. Esto indica una posible oportunidad de compra, ya que el TSI sugiere que el activo podría estar sobrevendido o experimentando una reversión potencial. Cuando se cumple esta condición, se traza un triángulo verde debajo de la barra de precios correspondiente, indicando una posible señal de compra.
Señal de Venta:
Por otro lado, se genera una señal de venta cuando el valor del TSI sube igual o por encima del valor especificado en sell_tsi_value. Esto implica una posible oportunidad de venta, ya que el TSI indica que el activo podría estar sobrecomprado o enfrentando una posible reversión. Cuando se cumple esta condición, se traza un triángulo rojo encima de la barra de precios correspondiente, indicando una posible señal de venta.
Nota:
Cuando observamos que el valor de TSI ( linea azul) , cruza por arriba de nuestro parámetro llamado TSI Sell ( Plot rojo) abrirá una operacion de venta, y por el contrario cuando nuestro TSI ( linea azul) cruza por abajo de nuestro parámetro TSI ( Plot Verde) abrirá una operacion de compra.
GKD-C Blau Ergodic Oscillator [Loxx]Giga Kaleidoscope GKD-C Blau Ergodic Oscillator is a Confirmation module included in Loxx's "Giga Kaleidoscope Modularized Trading System".
█ Giga Kaleidoscope Modularized Trading System
What is Loxx's "Giga Kaleidoscope Modularized Trading System"?
The Giga Kaleidoscope Modularized Trading System is a trading system built on the philosophy of the NNFX (No Nonsense Forex) algorithmic trading.
What is the NNFX algorithmic trading strategy?
The NNFX (No-Nonsense Forex) trading system is a comprehensive approach to Forex trading that is designed to simplify the process and remove the confusion and complexity that often surrounds trading. The system was developed by a Forex trader who goes by the pseudonym "VP" and has gained a significant following in the Forex community.
The NNFX trading system is based on a set of rules and guidelines that help traders make objective and informed decisions. These rules cover all aspects of trading, including market analysis, trade entry, stop loss placement, and trade management.
Here are the main components of the NNFX trading system:
1. Trading Philosophy: The NNFX trading system is based on the idea that successful trading requires a comprehensive understanding of the market, objective analysis, and strict risk management. The system aims to remove subjective elements from trading and focuses on objective rules and guidelines.
2. Technical Analysis: The NNFX trading system relies heavily on technical analysis and uses a range of indicators to identify high-probability trading opportunities. The system uses a combination of trend-following and mean-reverting strategies to identify trades.
3. Market Structure: The NNFX trading system emphasizes the importance of understanding the market structure, including price action, support and resistance levels, and market cycles. The system uses a range of tools to identify the market structure, including trend lines, channels, and moving averages.
4. Trade Entry: The NNFX trading system has strict rules for trade entry. The system uses a combination of technical indicators to identify high-probability trades, and traders must meet specific criteria to enter a trade.
5. Stop Loss Placement: The NNFX trading system places a significant emphasis on risk management and requires traders to place a stop loss order on every trade. The system uses a combination of technical analysis and market structure to determine the appropriate stop loss level.
6. Trade Management: The NNFX trading system has specific rules for managing open trades. The system aims to minimize risk and maximize profit by using a combination of trailing stops, take profit levels, and position sizing.
Overall, the NNFX trading system is designed to be a straightforward and easy-to-follow approach to Forex trading that can be applied by traders of all skill levels.
Core components of an NNFX algorithmic trading strategy
The NNFX algorithm is built on the principles of trend, momentum, and volatility. There are six core components in the NNFX trading algorithm:
1. Volatility - price volatility; e.g., Average True Range, True Range Double, Close-to-Close, etc.
2. Baseline - a moving average to identify price trend
3. Confirmation 1 - a technical indicator used to identify trends
4. Confirmation 2 - a technical indicator used to identify trends
5. Continuation - a technical indicator used to identify trends
6. Volatility/Volume - a technical indicator used to identify volatility/volume breakouts/breakdown
7. Exit - a technical indicator used to determine when a trend is exhausted
What is Volatility in the NNFX trading system?
In the NNFX (No Nonsense Forex) trading system, ATR (Average True Range) is typically used to measure the volatility of an asset. It is used as a part of the system to help determine the appropriate stop loss and take profit levels for a trade. ATR is calculated by taking the average of the true range values over a specified period.
True range is calculated as the maximum of the following values:
-Current high minus the current low
-Absolute value of the current high minus the previous close
-Absolute value of the current low minus the previous close
ATR is a dynamic indicator that changes with changes in volatility. As volatility increases, the value of ATR increases, and as volatility decreases, the value of ATR decreases. By using ATR in NNFX system, traders can adjust their stop loss and take profit levels according to the volatility of the asset being traded. This helps to ensure that the trade is given enough room to move, while also minimizing potential losses.
Other types of volatility include True Range Double (TRD), Close-to-Close, and Garman-Klass
What is a Baseline indicator?
The baseline is essentially a moving average, and is used to determine the overall direction of the market.
The baseline in the NNFX system is used to filter out trades that are not in line with the long-term trend of the market. The baseline is plotted on the chart along with other indicators, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR).
Trades are only taken when the price is in the same direction as the baseline. For example, if the baseline is sloping upwards, only long trades are taken, and if the baseline is sloping downwards, only short trades are taken. This approach helps to ensure that trades are in line with the overall trend of the market, and reduces the risk of entering trades that are likely to fail.
By using a baseline in the NNFX system, traders can have a clear reference point for determining the overall trend of the market, and can make more informed trading decisions. The baseline helps to filter out noise and false signals, and ensures that trades are taken in the direction of the long-term trend.
What is a Confirmation indicator?
Confirmation indicators are technical indicators that are used to confirm the signals generated by primary indicators. Primary indicators are the core indicators used in the NNFX system, such as the Average True Range (ATR), the Moving Average (MA), and the Relative Strength Index (RSI).
The purpose of the confirmation indicators is to reduce false signals and improve the accuracy of the trading system. They are designed to confirm the signals generated by the primary indicators by providing additional information about the strength and direction of the trend.
Some examples of confirmation indicators that may be used in the NNFX system include the Bollinger Bands, the MACD (Moving Average Convergence Divergence), and the MACD Oscillator. These indicators can provide information about the volatility, momentum, and trend strength of the market, and can be used to confirm the signals generated by the primary indicators.
In the NNFX system, confirmation indicators are used in combination with primary indicators and other filters to create a trading system that is robust and reliable. By using multiple indicators to confirm trading signals, the system aims to reduce the risk of false signals and improve the overall profitability of the trades.
What is a Continuation indicator?
In the NNFX (No Nonsense Forex) trading system, a continuation indicator is a technical indicator that is used to confirm a current trend and predict that the trend is likely to continue in the same direction. A continuation indicator is typically used in conjunction with other indicators in the system, such as a baseline indicator, to provide a comprehensive trading strategy.
What is a Volatility/Volume indicator?
Volume indicators, such as the On Balance Volume (OBV), the Chaikin Money Flow (CMF), or the Volume Price Trend (VPT), are used to measure the amount of buying and selling activity in a market. They are based on the trading volume of the market, and can provide information about the strength of the trend. In the NNFX system, volume indicators are used to confirm trading signals generated by the Moving Average and the Relative Strength Index. Volatility indicators include Average Direction Index, Waddah Attar, and Volatility Ratio. In the NNFX trading system, volatility is a proxy for volume and vice versa.
By using volume indicators as confirmation tools, the NNFX trading system aims to reduce the risk of false signals and improve the overall profitability of trades. These indicators can provide additional information about the market that is not captured by the primary indicators, and can help traders to make more informed trading decisions. In addition, volume indicators can be used to identify potential changes in market trends and to confirm the strength of price movements.
What is an Exit indicator?
The exit indicator is used in conjunction with other indicators in the system, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR), to provide a comprehensive trading strategy.
The exit indicator in the NNFX system can be any technical indicator that is deemed effective at identifying optimal exit points. Examples of exit indicators that are commonly used include the Parabolic SAR, the Average Directional Index (ADX), and the Chandelier Exit.
The purpose of the exit indicator is to identify when a trend is likely to reverse or when the market conditions have changed, signaling the need to exit a trade. By using an exit indicator, traders can manage their risk and prevent significant losses.
In the NNFX system, the exit indicator is used in conjunction with a stop loss and a take profit order to maximize profits and minimize losses. The stop loss order is used to limit the amount of loss that can be incurred if the trade goes against the trader, while the take profit order is used to lock in profits when the trade is moving in the trader's favor.
Overall, the use of an exit indicator in the NNFX trading system is an important component of a comprehensive trading strategy. It allows traders to manage their risk effectively and improve the profitability of their trades by exiting at the right time.
How does Loxx's GKD (Giga Kaleidoscope Modularized Trading System) implement the NNFX algorithm outlined above?
Loxx's GKD v1.0 system has five types of modules (indicators/strategies). These modules are:
1. GKD-BT - Backtesting module (Volatility, Number 1 in the NNFX algorithm)
2. GKD-B - Baseline module (Baseline and Volatility/Volume, Numbers 1 and 2 in the NNFX algorithm)
3. GKD-C - Confirmation 1/2 and Continuation module (Confirmation 1/2 and Continuation, Numbers 3, 4, and 5 in the NNFX algorithm)
4. GKD-V - Volatility/Volume module (Confirmation 1/2, Number 6 in the NNFX algorithm)
5. GKD-E - Exit module (Exit, Number 7 in the NNFX algorithm)
(additional module types will added in future releases)
Each module interacts with every module by passing data between modules. Data is passed between each module as described below:
GKD-B => GKD-V => GKD-C(1) => GKD-C(2) => GKD-C(Continuation) => GKD-E => GKD-BT
That is, the Baseline indicator passes its data to Volatility/Volume. The Volatility/Volume indicator passes its values to the Confirmation 1 indicator. The Confirmation 1 indicator passes its values to the Confirmation 2 indicator. The Confirmation 2 indicator passes its values to the Continuation indicator. The Continuation indicator passes its values to the Exit indicator, and finally, the Exit indicator passes its values to the Backtest strategy.
This chaining of indicators requires that each module conform to Loxx's GKD protocol, therefore allowing for the testing of every possible combination of technical indicators that make up the six components of the NNFX algorithm.
What does the application of the GKD trading system look like?
Example trading system:
Backtest: Strategy with 1-3 take profits, trailing stop loss, multiple types of PnL volatility, and 2 backtesting styles
Baseline: Hull Moving Average
Volatility/Volume: Hurst Exponent
Confirmation 1: Blau Ergodic Oscillator as shown on the chart above
Confirmation 2: Williams Percent Range
Continuation: Fisher Transform
Exit: Rex Oscillator
Each GKD indicator is denoted with a module identifier of either: GKD-BT, GKD-B, GKD-C, GKD-V, or GKD-E. This allows traders to understand to which module each indicator belongs and where each indicator fits into the GKD protocol chain.
Giga Kaleidoscope Modularized Trading System Signals (based on the NNFX algorithm)
Standard Entry
1. GKD-C Confirmation 1 Signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
6. GKD-C Confirmation 1 signal was less than 7 candles prior
Continuation Entry
1. Standard Entry, Baseline Entry, or Pullback; entry triggered previously
2. GKD-B Baseline hasn't crossed since entry signal trigger
3. GKD-C Confirmation Continuation Indicator signals
4. GKD-C Confirmation 1 agrees
5. GKD-B Baseline agrees
6. GKD-C Confirmation 2 agrees
1-Candle Rule Standard Entry
1. GKD-C Confirmation 1 signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
Next Candle:
1. Price retraced (Long: close < close or Short: close > close )
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
1-Candle Rule Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 1 signal was less than 7 candles prior
Next Candle:
1. Price retraced (Long: close < close or Short: close > close )
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume Agrees
PullBack Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is beyond 1.0x Volatility of Baseline
Next Candle:
1. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume Agrees
█ GKD-C Blau Ergodic Oscillator
What is Blau Ergodic Oscillator?
The William Blau Ergodic Oscillator (BEO) is a technical analysis indicator developed by William Blau, a trader and mathematician, in the early 1990s. The BEO is used to identify potential trend reversals and momentum shifts in the price of an asset.
The BEO is based on the concept of an ergodic process, which is a mathematical model used to describe a stochastic process that behaves similarly over time. The BEO is designed to provide a more accurate representation of price movements than traditional momentum indicators, such as the Relative Strength Index (RSI), by using a more complex calculation.
The BEO is calculated by applying a double exponential moving average (DEMA) to the True Strength Index (TSI), which is itself based on Momentum to which double smoothing has been applied. The formula for the TSI is:
TSI = 100 * EMA(EMA(Momentum)) / EMA(EMA(|Momentum|))
The double exponential moving average is used to reduce the lag often associated with traditional moving averages and provide a more accurate representation of the underlying trend. The oscillator is then plotted on a separate chart below the price chart.
The BEO oscillates between two extreme values, typically ranging from 0 to 100. A reading above 50 indicates a bullish trend, while a reading below 50 indicates a bearish trend. The BEO is also often used in conjunction with other technical analysis tools, such as moving averages and trend lines, to confirm potential trend reversals or momentum shifts.
One of the unique features of the BEO is the ability to adjust the sensitivity of the oscillator by changing the parameters used in the calculation. This allows traders to customize the indicator to fit their specific trading style and market conditions.
To generate buy and sell signals, a signal line is added to the oscillator. When the oscillator crosses above the signal line, it is considered a buy signal, while a cross below the signal line is considered a sell signal.
In conclusion, the William Blau Ergodic Oscillator is a technical analysis indicator used to identify potential trend reversals and momentum shifts in the price of an asset. It is based on the concept of an ergodic process and uses a double exponential moving average applied to the True Strength Index to reduce lag and provide a more accurate representation of price movements. The oscillator oscillates between 0 and 100, and a signal line is added to generate buy and sell signals. The BEO is a versatile tool that can be customized to fit the specific needs of traders and market conditions.
Requirements
Inputs
Confirmation 1 and Solo Confirmation: GKD-V Volatility / Volume indicator
Confirmation 2: GKD-C Confirmation indicator
Outputs
Confirmation 2 and Solo Confirmation Complex: GKD-E Exit indicator
Confirmation 1: GKD-C Confirmation indicator
Continuation: GKD-E Exit indicator
Solo Confirmation Simple: GKD-BT Backtest strategy
Additional features will be added in future releases.
GKD-C Blau True Strength Index [Loxx]Giga Kaleidoscope GKD-C Blau True Strength Index is a Confirmation module included in Loxx's "Giga Kaleidoscope Modularized Trading System".
█ Giga Kaleidoscope Modularized Trading System
What is Loxx's "Giga Kaleidoscope Modularized Trading System"?
The Giga Kaleidoscope Modularized Trading System is a trading system built on the philosophy of the NNFX (No Nonsense Forex) algorithmic trading.
What is the NNFX algorithmic trading strategy?
The NNFX (No-Nonsense Forex) trading system is a comprehensive approach to Forex trading that is designed to simplify the process and remove the confusion and complexity that often surrounds trading. The system was developed by a Forex trader who goes by the pseudonym "VP" and has gained a significant following in the Forex community.
The NNFX trading system is based on a set of rules and guidelines that help traders make objective and informed decisions. These rules cover all aspects of trading, including market analysis, trade entry, stop loss placement, and trade management.
Here are the main components of the NNFX trading system:
1. Trading Philosophy: The NNFX trading system is based on the idea that successful trading requires a comprehensive understanding of the market, objective analysis, and strict risk management. The system aims to remove subjective elements from trading and focuses on objective rules and guidelines.
2. Technical Analysis: The NNFX trading system relies heavily on technical analysis and uses a range of indicators to identify high-probability trading opportunities. The system uses a combination of trend-following and mean-reverting strategies to identify trades.
3. Market Structure: The NNFX trading system emphasizes the importance of understanding the market structure, including price action, support and resistance levels, and market cycles. The system uses a range of tools to identify the market structure, including trend lines, channels, and moving averages.
4. Trade Entry: The NNFX trading system has strict rules for trade entry. The system uses a combination of technical indicators to identify high-probability trades, and traders must meet specific criteria to enter a trade.
5. Stop Loss Placement: The NNFX trading system places a significant emphasis on risk management and requires traders to place a stop loss order on every trade. The system uses a combination of technical analysis and market structure to determine the appropriate stop loss level.
6. Trade Management: The NNFX trading system has specific rules for managing open trades. The system aims to minimize risk and maximize profit by using a combination of trailing stops, take profit levels, and position sizing.
Overall, the NNFX trading system is designed to be a straightforward and easy-to-follow approach to Forex trading that can be applied by traders of all skill levels.
Core components of an NNFX algorithmic trading strategy
The NNFX algorithm is built on the principles of trend, momentum, and volatility. There are six core components in the NNFX trading algorithm:
1. Volatility - price volatility; e.g., Average True Range, True Range Double, Close-to-Close, etc.
2. Baseline - a moving average to identify price trend
3. Confirmation 1 - a technical indicator used to identify trends
4. Confirmation 2 - a technical indicator used to identify trends
5. Continuation - a technical indicator used to identify trends
6. Volatility/Volume - a technical indicator used to identify volatility/volume breakouts/breakdown
7. Exit - a technical indicator used to determine when a trend is exhausted
What is Volatility in the NNFX trading system?
In the NNFX (No Nonsense Forex) trading system, ATR (Average True Range) is typically used to measure the volatility of an asset. It is used as a part of the system to help determine the appropriate stop loss and take profit levels for a trade. ATR is calculated by taking the average of the true range values over a specified period.
True range is calculated as the maximum of the following values:
-Current high minus the current low
-Absolute value of the current high minus the previous close
-Absolute value of the current low minus the previous close
ATR is a dynamic indicator that changes with changes in volatility. As volatility increases, the value of ATR increases, and as volatility decreases, the value of ATR decreases. By using ATR in NNFX system, traders can adjust their stop loss and take profit levels according to the volatility of the asset being traded. This helps to ensure that the trade is given enough room to move, while also minimizing potential losses.
Other types of volatility include True Range Double (TRD), Close-to-Close, and Garman-Klass
What is a Baseline indicator?
The baseline is essentially a moving average, and is used to determine the overall direction of the market.
The baseline in the NNFX system is used to filter out trades that are not in line with the long-term trend of the market. The baseline is plotted on the chart along with other indicators, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR).
Trades are only taken when the price is in the same direction as the baseline. For example, if the baseline is sloping upwards, only long trades are taken, and if the baseline is sloping downwards, only short trades are taken. This approach helps to ensure that trades are in line with the overall trend of the market, and reduces the risk of entering trades that are likely to fail.
By using a baseline in the NNFX system, traders can have a clear reference point for determining the overall trend of the market, and can make more informed trading decisions. The baseline helps to filter out noise and false signals, and ensures that trades are taken in the direction of the long-term trend.
What is a Confirmation indicator?
Confirmation indicators are technical indicators that are used to confirm the signals generated by primary indicators. Primary indicators are the core indicators used in the NNFX system, such as the Average True Range (ATR), the Moving Average (MA), and the Relative Strength Index (RSI).
The purpose of the confirmation indicators is to reduce false signals and improve the accuracy of the trading system. They are designed to confirm the signals generated by the primary indicators by providing additional information about the strength and direction of the trend.
Some examples of confirmation indicators that may be used in the NNFX system include the Bollinger Bands, the MACD (Moving Average Convergence Divergence), and the MACD Oscillator. These indicators can provide information about the volatility, momentum, and trend strength of the market, and can be used to confirm the signals generated by the primary indicators.
In the NNFX system, confirmation indicators are used in combination with primary indicators and other filters to create a trading system that is robust and reliable. By using multiple indicators to confirm trading signals, the system aims to reduce the risk of false signals and improve the overall profitability of the trades.
What is a Continuation indicator?
In the NNFX (No Nonsense Forex) trading system, a continuation indicator is a technical indicator that is used to confirm a current trend and predict that the trend is likely to continue in the same direction. A continuation indicator is typically used in conjunction with other indicators in the system, such as a baseline indicator, to provide a comprehensive trading strategy.
What is a Volatility/Volume indicator?
Volume indicators, such as the On Balance Volume (OBV), the Chaikin Money Flow (CMF), or the Volume Price Trend (VPT), are used to measure the amount of buying and selling activity in a market. They are based on the trading volume of the market, and can provide information about the strength of the trend. In the NNFX system, volume indicators are used to confirm trading signals generated by the Moving Average and the Relative Strength Index. Volatility indicators include Average Direction Index, Waddah Attar, and Volatility Ratio. In the NNFX trading system, volatility is a proxy for volume and vice versa.
By using volume indicators as confirmation tools, the NNFX trading system aims to reduce the risk of false signals and improve the overall profitability of trades. These indicators can provide additional information about the market that is not captured by the primary indicators, and can help traders to make more informed trading decisions. In addition, volume indicators can be used to identify potential changes in market trends and to confirm the strength of price movements.
What is an Exit indicator?
The exit indicator is used in conjunction with other indicators in the system, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR), to provide a comprehensive trading strategy.
The exit indicator in the NNFX system can be any technical indicator that is deemed effective at identifying optimal exit points. Examples of exit indicators that are commonly used include the Parabolic SAR, the Average Directional Index (ADX), and the Chandelier Exit.
The purpose of the exit indicator is to identify when a trend is likely to reverse or when the market conditions have changed, signaling the need to exit a trade. By using an exit indicator, traders can manage their risk and prevent significant losses.
In the NNFX system, the exit indicator is used in conjunction with a stop loss and a take profit order to maximize profits and minimize losses. The stop loss order is used to limit the amount of loss that can be incurred if the trade goes against the trader, while the take profit order is used to lock in profits when the trade is moving in the trader's favor.
Overall, the use of an exit indicator in the NNFX trading system is an important component of a comprehensive trading strategy. It allows traders to manage their risk effectively and improve the profitability of their trades by exiting at the right time.
How does Loxx's GKD (Giga Kaleidoscope Modularized Trading System) implement the NNFX algorithm outlined above?
Loxx's GKD v1.0 system has five types of modules (indicators/strategies). These modules are:
1. GKD-BT - Backtesting module (Volatility, Number 1 in the NNFX algorithm)
2. GKD-B - Baseline module (Baseline and Volatility/Volume, Numbers 1 and 2 in the NNFX algorithm)
3. GKD-C - Confirmation 1/2 and Continuation module (Confirmation 1/2 and Continuation, Numbers 3, 4, and 5 in the NNFX algorithm)
4. GKD-V - Volatility/Volume module (Confirmation 1/2, Number 6 in the NNFX algorithm)
5. GKD-E - Exit module (Exit, Number 7 in the NNFX algorithm)
(additional module types will added in future releases)
Each module interacts with every module by passing data between modules. Data is passed between each module as described below:
GKD-B => GKD-V => GKD-C(1) => GKD-C(2) => GKD-C(Continuation) => GKD-E => GKD-BT
That is, the Baseline indicator passes its data to Volatility/Volume. The Volatility/Volume indicator passes its values to the Confirmation 1 indicator. The Confirmation 1 indicator passes its values to the Confirmation 2 indicator. The Confirmation 2 indicator passes its values to the Continuation indicator. The Continuation indicator passes its values to the Exit indicator, and finally, the Exit indicator passes its values to the Backtest strategy.
This chaining of indicators requires that each module conform to Loxx's GKD protocol, therefore allowing for the testing of every possible combination of technical indicators that make up the six components of the NNFX algorithm.
What does the application of the GKD trading system look like?
Example trading system:
Backtest: Strategy with 1-3 take profits, trailing stop loss, multiple types of PnL volatility, and 2 backtesting styles
Baseline: Hull Moving Average
Volatility/Volume: Hurst Exponent
Confirmation 1: Blau True Strength Index as shown on the chart above
Confirmation 2: Williams Percent Range
Continuation: Fisher Transform
Exit: Rex Oscillator
Each GKD indicator is denoted with a module identifier of either: GKD-BT, GKD-B, GKD-C, GKD-V, or GKD-E. This allows traders to understand to which module each indicator belongs and where each indicator fits into the GKD protocol chain.
Giga Kaleidoscope Modularized Trading System Signals (based on the NNFX algorithm)
Standard Entry
1. GKD-C Confirmation 1 Signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
6. GKD-C Confirmation 1 signal was less than 7 candles prior
Continuation Entry
1. Standard Entry, Baseline Entry, or Pullback; entry triggered previously
2. GKD-B Baseline hasn't crossed since entry signal trigger
3. GKD-C Confirmation Continuation Indicator signals
4. GKD-C Confirmation 1 agrees
5. GKD-B Baseline agrees
6. GKD-C Confirmation 2 agrees
1-Candle Rule Standard Entry
1. GKD-C Confirmation 1 signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
Next Candle:
1. Price retraced (Long: close < close or Short: close > close )
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
1-Candle Rule Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 1 signal was less than 7 candles prior
Next Candle:
1. Price retraced (Long: close < close or Short: close > close )
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume Agrees
PullBack Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is beyond 1.0x Volatility of Baseline
Next Candle:
1. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume Agrees
█ GKD-C Blau True Strength Index
What is Blau True Strength Index?
The Blau True Strength Index (TSI) is a technical indicator that measures the strength of a security's trend by comparing the current price to historical price data. The TSI was developed by William Blau, a trader and expert in technical analysis. It is based on the popular Relative Strength Index (RSI) but differs in its calculation method.
The TSI uses two different smoothing techniques to remove noise from the price data and highlight the underlying trend. The first smoothing technique is a double exponential moving average (DEMA) of the price data. This DEMA helps to reduce the impact of short-term price fluctuations on the indicator's readings. The second smoothing technique is a triple exponential moving average (TEMA) of the DEMA values. The TEMA further smooths out the DEMA values and helps to reduce lag.
The Blau TSI can be calculated using the following steps:
1. Calculate the DEMA of the price data using a short-term and a long-term period. The short-term period is usually set to 13 and the long-term period is usually set to 25.
2. Calculate the difference between the short-term DEMA and the long-term DEMA.
3. Calculate the TEMA of the difference calculated in step 2 using a period of 7.
4. Calculate the TSI as a percentage by dividing the TEMA calculated in step 3 by the absolute value of the TEMA calculated in step 3 plus 1, and then multiplying by 100.
The TSI values range from -100 to +100, with readings above +25 indicating a strong uptrend and readings below -25 indicating a strong downtrend. Values between +25 and -25 indicate a weak or sideways trend.
Traders use the Blau TSI to identify trend reversals, confirm trend strength, and generate buy and sell signals. A bullish divergence between the TSI and the price can be a signal to buy, while a bearish divergence can be a signal to sell. Traders also look for crossovers of the TSI with its signal line to generate buy and sell signals.
In summary, the Blau True Strength Index is a technical indicator that measures the strength of a security's trend by comparing the current price to historical price data using two different smoothing techniques. Traders use the TSI to identify trend reversals, confirm trend strength, and generate buy and sell signals.
Requirements
Inputs
Confirmation 1 and Solo Confirmation: GKD-V Volatility / Volume indicator
Confirmation 2: GKD-C Confirmation indicator
Outputs
Confirmation 2 and Solo Confirmation Complex: GKD-E Exit indicator
Confirmation 1: GKD-C Confirmation indicator
Continuation: GKD-E Exit indicator
Solo Confirmation Simple: GKD-BT Backtest strategy
Additional features will be added in future releases.
Stochastic Momentum Index (SMI) of Money Flow Index (MFI)"He who does not know how to make predictions and makes light of his opponents, underestimating his ability, will certainly be defeated by them."
(Sun Tzu - The Art of War)
▮ Introduction
The Stochastic Momentum Index (SMI) is a technical analysis indicator that uses the difference between the current closing price and the high or low price over a specific time period to measure price momentum.
On the other hand, the Money Flow Index (MFI) is an indicator that uses volume and price to measure buying and selling pressure.
When these two indicators are combined, they can provide a more comprehensive view of price direction and market strength.
▮ Improvements
By combining SMI with MFI, we can gain even more insights into the market. One way to do this is to use the MFI as an input to the SMI, rather than just using price.
This means we are measuring momentum based on buying and selling pressure rather than just price.
Another way to improve this indicator is to adjust the periods to suit your specific trading needs.
▮ What to look
When using the SMI MFI indicator, there are a few things to look out for.
First, look at the SMI signal line.
When the line crosses above -40, it is considered a buy signal, while the crossing below +40 is considered a sell signal.
Also, pay attention to divergences between the SMI MFI and the price.
If price is rising but the SMI MFI is showing negative divergence, it could indicate that momentum is waning and a reversal could be in the offing.
Likewise, if price is falling but the SMI MFI is showing positive divergence, this could indicate that momentum is building and a reversal could also be in the offing.
In the examples below, I show the use in conjunction with the price SMI, in which the MFI SMI helps to anticipate divergences:
In summary, the SMI MFI is a useful indicator that can provide valuable insights into market direction and price strength.
By adjusting the timeframes and paying attention to divergences and signal line crossovers, traders can use it as part of a broader trading strategy.
However, remember that no indicator is a magic bullet and should always be used in conjunction with other analytics and indicators to make informed trading decisions.
Stochastic Momentum Index (SMI) Refurbished▮Introduction
Stochastic Momentum Index (SMI) Indicator is a technical indicator used in technical analysis of stocks and other financial instruments.
It was developed by William Blau in 1993 and is considered to be a momentum indicator that can help identify trend reversal points.
Basically, it's a combination of the True Strength Index with a signal line to help identify turning points in the market.
SMI uses the stochastic formula to compare the current closing price of an asset with the maximum and minimum price range over a specific period.
He then compares this ratio to a short-term moving average to create an indicator that oscillates between -100 and +100.
When the SMI is above 0, it is considered positive, indicating that the current price is above the short-term moving average.
When it is below 0, it is considered negative, indicating that the current price is below the short-term moving average.
Traders use the SMI to identify potential trend reversal points.
When the indicator reaches an extreme level above +40 or below -40, a trend reversal is possible.
Furthermore, traders also watch for divergences between the SMI and the asset price to identify potential trading opportunities.
It is important to remember that the SMI is a technical indicator and as such should be used in conjunction with other technical analysis tools to get a complete picture of the market situation.
▮ Improvements
The following features were added:
1. 7 color themes, for TSI, Signal and Histogram.
2. Possibility to customize moving average type for TSI/Signal.
3. Dynamic Zones.
4. Crossing Alerts.
5. Alert points on specific ranges.
5. Coloring of bars according to TSI/Signal/Histogram.
▮ Themes
Examples:
▮ About Dynamic Zones
'Most indicators use a fixed zone for buy and sell signals.
Here's a concept based on zones that are responsive to the past levels of the indicator.'
The concept of Dynamic Zones was described by Leo Zamansky ( Ph .D.) and David Stendahl, in the magazine of Stocks & Commodities V15:7 (306-310).
Basically, a statistical calculation is made to define the extreme levels, delimiting a possible overbought/oversold region.
Given user-defined probabilities, the percentile is calculated using the method of Nearest Rank.
It is calculated by taking the difference between the data point and the number of data points below it, then dividing by the total number of data points in the set.
The result is expressed as a percentage.
This provides a measure of how a particular value compares to other values in a data set, identifying outliers or values that are significantly higher or lower than the rest of the data.
▮ What to look for
1. Divergences/weakening of a trend/reversal:
2. Supports, resistances, pullbacks:
3. Overbought/Oversold Points:
▮ Thanks and Credits
- TradingView and PineCoders: for SMI and Moving Averages
- allanster: for Dynamic Zones
Athena Momentum Squeeze - Short, Lean, and Mean This is a very profitable strategy focusing on 15 minute intervals on the Micro Nasdaq Futures contracts. CME_MINI:MNQH2023
As this contract only keeps positions for on average about an hour risk is managed. At a profit factor of 3.382 with a max drawdown of $123 from January 1st to February 15. Looking back to Dec 2019 still maintains a profit factor of 1.3.
See backtesting: www.screencast.com
2019 backtesting: www.screencast.com
Based on the classic Lazy Bear Oscillator Squeeze with a number of modifications from ADX, MAs and adding fibonacci levels.
We like keeping strategies simple yet powerful, no completely where you can't understand your own trades.
Our team is always modifying and improving the strategy. Always open to collaborating on improving as there is no perfect strategy. www.screencast.com
MarsMine_PEMTThis indicator uses a total of four indicators, 'ParabolicSAR', 'EMA', 'MACD', and 'TSI', to indicate the direction of the trend as well as the progress signal of the trend.
Basically, the overall trend is analyzed by the 'EMA' and 'TSI' indicators, and the buying trend is displayed in green and the selling trend is displayed in red candlesticks.
An additional buy or sell signal is generated, which analyzes all the 'Parabolic SAR', 'EMA', 'MACD' and 'TSI' indicators to indicate the beginning of a trend that is slightly more accurate than the trend displayed on candlesticks.
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해당 지표는 'ParabolicSAR', 'EMA', 'MACD', 'TSI' 총 네 가지 지표를 활용하여 추세의 방향성과 함께 추세의 진행 신호를 알려주는 지표입니다.
기본적으론 전반적인 추세는 'EMA', 'TSI' 지표를 분석하여 매수 추세는 초록색 매도 추세는 빨간색으로 캔들에 표시해 주고 있습니다.
추가적으로 매수 또는 매도 신호가 발생하며, 이 신호는 'Parabolic SAR', 'EMA', 'MACD', 'TSI' 지표 모두를 분석하여 캔들에 표시되는 추세보다 조금 더 정확한 추세의 시작을 표시합니다.
Macro Score - TSI-BasedA "macro score", as defined here, is created by giving various weights to different signals and adding them together to get one smooth score. Positive or negative values are assigned to each of the signals depending on if the statement is true or false (e.g. DPO > 0: +1, DPO < 0: -1). This manner of strategy allows for a subset of the available signals to be present at one time as opposed to every technical signal having to be active in order for a long/short signal to trigger.
This strategy has the signals and weights pre-determined in the code. Heaviest weights have been given to various TSI (True Strength Index) signals, including a crossover/crossunder of TSI signal and TSI value, a threshold for the TSI Signal (above or below 0), and a crossover/crossunder of the CMO (Chande Momentum Oscillator) and the TSI signal line. Additionally, there are thresholds for DPO (Detrended Price Oscillator, above or below 0), Jurik Volatility Bands (above or below 0), and Stoch RSI (above or below 50). These three signals hold a lighter weight than the three TSI signals.
The macro score itself is printed in an underlay as a white line that goes between -10 and 10 for this strategy. In addition to the macro score line, a red momentum line (sourced by the macro score itself) has been included. A crossover/crossunder of the macro score and the macro momentum line is included into the long/short signal syntax in addition to a threshold for the macro score (-6/6).
Take profit, stop loss, and trailing percentages are also included, found at the bottom of the Input tab under “TT and TTP” as well as “Stop Loss”. Make sure to understand the TP/SL ratio that you desire before use, as the desired hit rate/profitability percentage will be affected accordingly. This strategy does NOT guarantee future returns. Apply caution in trading regardless of discretionary or algorithmic. Understand the concepts of risk/reward and the intricacies of each strategy choice before utilizing them in your personal trading.
Profitview Settings:
If you wish to utilize Profitview’s automation system, find the included “Profitview Settings” under the Input tab of the strategy settings menu. If not, skip this section entirely as it can be left blank. Options will be “OPEN LONG TITLE”, “OPEN SHORT TITLE”, “CLOSE LONG TITLE”, and “CLOSE SHORT TITLE”. If you wished to trade SOL, for example, you would put “SOL LONG”, “SOL SHORT”, “SOL CLOSE LONG”, and “SOL CLOSE SHORT” in these areas. Within your Profitview extension, ensure that your Alerts all match these titles. To set an alert for use with Profitview, go to the “Alerts” tab in TradingView, then create an alert. Make sure that your desired asset and timeframe are currently displayed on your screen when creating the alert. Under the “Condition” option of the alert, select the strategy, then select the expiration time. If using TradingView Premium, this can be open-ended. Otherwise, select your desired expiration time and date. This can be updated whenever desired to ensure the strategy does not expire. Under “Alert actions”, nothing necessarily needs to be selected unless so desired. Leave the “Alert name” option empty. For the “Message”, delete the generated message and replace it with {{strategy.order.alert_message}} and nothing else.
Cheat Code's RedemptionWELCOME TO THE CHEAT CODE REDEMPTION PACK!!!!
I want to take a deep dive into what this indicator consists of and how you can use it to improve your trading strategy.
-What does the CCR consist of?
The Oscillator:
The oscillator is a combination of a true strength index sampled from on-balance volume and a regular RSI at default settings. The reason I added the on-balance volume is that it does not tend to remain at overbought or oversold conditions as traditional momentum oscillators do.
The Histogram:
The histogram is copied to a tee from the MACD histogram, the only difference here is that I extended the moving averages to depict a special pairing; the ema55 slow and ema21 fast. I then converted it into another true strength index, as the calculations fit all time frames.
The Divergences:
The divergences of an indicator can be extremely useful in catching scalp opportunities, a DARK RED/GREEN represents a REGULAR divergence, while a SALMON/LIGHT GREEN color represents a HIDDEN divergence.
The moving average:
The moving average built into this indicator is depicted as an aqua or yellow line, when the oscillator is moving in an uptrend, the moving average will appear aqua, when the oscillator is in a downtrend it will appear yellow. Use this as confirmation bias or as the third derivative of market position.
Oscillator Colors:
The Oscillator color is an important thesis of this indicator. When the line is green, it means the market is effectively in an uptrend, when it is red, it means the market is in a downtrend. Use this to prevent longing in a serious downtrend and vice versa.
If you have any questions regarding the indicator(s), feel free to reach out to me in the comments or through Direct Message!!!
Safe Trading, Don't get Rekt
- CheatCode1 <3
Divergence for Many Panel (D4MP+)Divergence for Many Panel (D4MP+)
This Divergence for Many Panel indicator is built upon the realtme divergence drawing code originally authored by LonesomeTheBlue, now in the form of a panel indicator.
The available oscillators, hand picked for their ability to identify high quality divergences currently include:
- Ultimate Oscillator (UO)
- True Strength Index (TSI)
- Money Flow Index (MFI)
- Relative Strength Index (RSI)
- Stochastic RSI
- Time Segmented Volume (TSV)
- Cumulative Delta Volume (CDV)
Note : this list of available oscillators may be added to or altered at a later date.
The indicator includes the following features:
- Ability to select any of the above oscillators
- Optional divergence lines drawn directly onto the oscillator in realtime .
- Configurable alerts to notify you when divergences occur.
- Configurable pivot lookback periods to fine tune the divergences drawn in order to suit different trading styles and timeframes, including the ability to enable automatic adjustment of pivot period per chart timeframe.
- Background colouring option to indicate when the selected oscillator has crossed above or below its centerline.
- Alternate timeframe feature allows you to configure the oscillator to use data from a different timeframe than the chart it is loaded on.
- Oscillator name label, so you can clearly see which oscillator is selected, in the case you have multiple loaded onto a chart.
- Optional adjustable range bands.
- Automatic adjustment of line colours, centerlines and range band levels on a per oscillator basis by default.
- Ability to customise the colours of each of the oscillators.
What is the Ultimate Oscillator ( UO )?
“The Ultimate Oscillator indicator (UO) indicator is a technical analysis tool used to measure momentum across three varying timeframes. The problem with many momentum oscillators is that after a rapid advance or decline in price, they can form false divergence trading signals. For example, after a rapid rise in price, a bearish divergence signal may present itself, however price continues to rise. The ultimate Oscillator attempts to correct this by using multiple timeframes in its calculation as opposed to just one timeframe which is what is used in most other momentum oscillators.”
What is the True Strength Index ( TSI )?
"The true strength index (TSI) is a technical momentum oscillator used to identify trends and reversals. The indicator may be useful for determining overbought and oversold conditions, indicating potential trend direction changes via centerline or signal line crossovers, and warning of trend weakness through divergence."
What is the Money Flow Index ( MFI )?
“The Money Flow Index ( MFI ) is a technical oscillator that uses price and volume data for identifying overbought or oversold signals in an asset. It can also be used to spot divergences which warn of a trend change in price. The oscillator moves between 0 and 100. Unlike conventional oscillators such as the Relative Strength Index ( RSI ), the Money Flow Index incorporates both price and volume data, as opposed to just price. For this reason, some analysts call MFI the volume-weighted RSI .”
What is the Relative Strength Index ( RSI )?
"The relative strength index (RSI) is a momentum indicator used in technical analysis. RSI measures the speed and magnitude of a security's recent price changes to evaluate overvalued or undervalued conditions in the price of that security. The RSI can do more than point to overbought and oversold securities. It can also indicate securities that may be primed for a trend reversal or corrective pullback in price. It can signal when to buy and sell. Traditionally, an RSI reading of 70 or above indicates an overbought situation. A reading of 30 or below indicates an oversold condition. It is also commonly used to identify divergences."
What is the Stochastic RSI (StochRSI)?
"The Stochastic RSI (StochRSI) is an indicator used in technical analysis that ranges between zero and one (or zero and 100 on some charting platforms) and is created by applying the Stochastic oscillator formula to a set of relative strength index (RSI) values rather than to standard price data. Using RSI values within the Stochastic formula gives traders an idea of whether the current RSI value is overbought or oversold. The StochRSI oscillator was developed to take advantage of both momentum indicators in order to create a more sensitive indicator that is attuned to a specific security's historical performance rather than a generalized analysis of price change."
What Is Time Segmented Volume?
"Time segmented volume (TSV) is a technical analysis indicator developed by Worden Brothers Inc. that segments a stock's price and volume according to specific time intervals. The price and volume data is then compared to uncover periods of accumulation (buying) and distribution (selling)."
What is Cumulative Volume Delta ( CDV )?
"The CDV analyses the net buying at market price and net selling at market price. This means, that volume delta is measuring whether it is the buyers or sellers that are more aggressive in taking the current market price. It measures the degree of intent by buyers and sellers, which can be used to indicate who is more dominant. The CDV can be used to help identify possible trends and also divergences"
What are divergences?
Divergence is when the price of an asset is moving in the opposite direction of a technical indicator, such as an oscillator, or is moving contrary to other data. Divergence warns that the current price trend may be weakening, and in some cases may lead to the price changing direction.
There are 4 main types of divergence, which are split into 2 categories;
regular divergences and hidden divergences. Regular divergences indicate possible trend reversals, and hidden divergences indicate possible trend continuation.
Regular bullish divergence: An indication of a potential trend reversal, from the current downtrend, to an uptrend.
Regular bearish divergence: An indication of a potential trend reversal, from the current uptrend, to a downtrend.
Hidden bullish divergence: An indication of a potential uptrend continuation.
Hidden bearish divergence: An indication of a potential downtrend continuation.
Setting alerts.
With this indicator you can set alerts to notify you when any/all of the above types of divergences occur, on any chart timeframe you choose.
Configurable pivot periods.
You can adjust the default pivot periods to suit your prefered trading style and timeframe. If you like to trade a shorter time frame, lowering the default lookback values will make the divergences drawn more sensitive to short term price action.
How do traders use divergences in their trading?
A divergence is considered a leading indicator in technical analysis , meaning it has the ability to indicate a potential price move in the short term future.
Hidden bullish and hidden bearish divergences, which indicate a potential continuation of the current trend are sometimes considered a good place for traders to begin, since trend continuation occurs more frequently than reversals, or trend changes.
When trading regular bullish divergences and regular bearish divergences, which are indications of a trend reversal, the probability of it doing so may increase when these occur at a strong support or resistance level . A common mistake new traders make is to get into a regular divergence trade too early, assuming it will immediately reverse, but these can continue to form for some time before the trend eventually changes, by using forms of support or resistance as an added confluence, such as when price reaches a moving average, the success rate when trading these patterns may increase.
Typically, traders will manually draw lines across the swing highs and swing lows of both the price chart and the oscillator to see whether they appear to present a divergence, this indicator will draw them for you, quickly and clearly, and can notify you when they occur.
Disclaimer : This script includes code from several stock indicators by Tradingview as well as the Divergence for Many Indicators v4 by LonesomeTheBlue. With special thanks.
True Strength IndexThe True Strength Index (TSI) is a technical momentum oscillator that can help identify trends and spot reversals. This indicator was developed with about an hour of research, based on the original True Strength Index formula by William Blau. The research material used to create this indicator can be found in the script (released publicly).
Author Notes:
- The zero line is included in this script, since it's a standard feature of the True Strength Index momentum oscillator.
- I did not include support and resistance levels, as I'm still researching the best way to incorporate this, rather than using a simple horizontal line for each.
- The original True Strength Index momentum oscillator utilizes the Exponential Moving Average, but with this release, you have the option to use the Hull Moving Average (as an alternative). Feel free to experiment and adjust the settings to whatever suits your trading style.
- I plan on improving/updating this indicator, but for now, releasing this early version.
* This is being provided as is and the information provided by this script is meant for informational/entertainment purposes only.
TSI + DivergencesTrue Strength Indicator (TSI) + Divergences + Alerts + Lookback periods.
This version of the True Strength Indicator adds the following 3 additional features to the stock TSI by Tradingview:
- Optional divergence lines drawn directly onto the oscillator.
- Configurable alerts to notify you when divergences occur.
- Configurable lookback periods to fine tune the divergences drawn in order to suit different trading styles and timeframes.
This indicator adds additional features onto the stock TSI by Tradingview, whose core calculations remain unchanged. Namely the configurable option to automatically, quickly and clearly draw divergence lines onto the oscillator for you as they occur, with minimal delay. It also has the addition of unique alerts, so you can be notified when divergences occur without spending all day watching the charts. Furthermore, this version of the TSI comes with configurable lookback periods, which can be configured in order to adjust the sensitivity of the divergences, in order to suit shorter or higher timeframe trading approaches.
The True Strength Indicator
Tradingview describes the True Strength Indicator as follows:
“The True Strength Index (TSI) is a momentum oscillator that ranges between limits of -100 and +100 and has a base value of 0. Momentum is positive when the oscillator is positive (pointing to a bullish market bias) and vice versa. It was developed by William Blau and consists of 2 lines: the index line and an exponential moving average of the TSI, called the signal line. Traders may look for any of the following 5 types of conditions: overbought, oversold, centerline crossover, divergence and signal line crossover. The indicator is often used in combination with other signals..”
What are divergences?
Divergence is when the price of an asset is moving in the opposite direction of a technical indicator, such as an oscillator, or is moving contrary to other data. Divergence warns that the current price trend may be weakening, and in some cases may lead to the price changing direction.
There are 4 main types of divergence, which are split into 2 categories;
regular divergences and hidden divergences. Regular divergences indicate possible trend reversals, and hidden divergences indicate possible trend continuation.
Regular bullish divergence: An indication of a potential trend reversal, from the current downtrend, to an uptrend.
Regular bearish divergence: An indication of a potential trend reversal, from the current uptrend, to a downtrend.
Hidden bullish divergence: An indication of a potential uptrend continuation.
Hidden bearish divergence: An indication of a potential downtrend continuation.
Setting alerts.
With this indicator you can set alerts to notify you when any/all of the above types of divergences occur, on any chart timeframe you choose.
Configurable lookback values.
You can adjust the default lookback values to suit your prefered trading style and timeframe. If you like to trade a shorter time frame, lowering the default lookback values will make the divergences drawn more sensitive to short term price action.
How do traders use divergences in their trading?
A divergence is considered a leading indicator in technical analysis, meaning it has the ability to indicate a potential price move in the short term future.
Hidden bullish and hidden bearish divergences, which indicate a potential continuation of the current trend are sometimes considered a good place for traders to begin, since trend continuation occurs more frequently than reversals, or trend changes.
When trading regular bullish divergences and regular bearish divergences, which are indications of a trend reversal, the probability of it doing so may increase when these occur at a strong support or resistance level. A common mistake new traders make is to get into a regular divergence trade too early, assuming it will immediately reverse, but these can continue to form for some time before the trend eventually changes, by using forms of support or resistance as an added confluence, such as when price reaches a moving average, the success rate when trading these patterns may increase.
Typically, traders will manually draw lines across the swing highs and swing lows of both the price chart and the oscillator to see whether they appear to present a divergence, this indicator will draw them for you, quickly and clearly, and can notify you when they occur.
Disclaimer : This script includes code from the stock TSI by Tradingview as well as the RSI divergence indicator.
Follow The Ranging Hull - studyFollow the Ranging hull - Study is a scalping indicator based off momentum and trend
It indicates the current momentum, and shows the momentum and true strength of a higher timeframe through a status window.
Credits:
Hull Suite by InSilico www.tradingview.com
Range Filter Buy and Sell 5 min www.tradingview.com
Follow Line Indicator by Dreadblitz www.tradingview.com
TSI by Everget www.tradingview.com
Ultimate Custom ScreenerThis indicator will allow you to make your custom TradingView screener without coding. Add it to the chart, select up to 40 symbols and five indicators, and the screener will do the rest for you. The indicator will form a lovely table with all values and highlighted signals.
The screener is highly customizable, and you can choose its position on the chart, sorting, order of the columns, colors for the tables, and all signals separately. You can easily change parameters for all supported indicators and their signals.
Currently, there are 19 different custom indicators available. Current list of indicators:
Average Directional Index (ADX) - displaying the value of ADX and checking if it's higher than the threshold
Average True Range (ATR) - showing the value of ATR
Awesome Oscillator (AO) - displaying the value of AO and highlighting positive/negative values.
Bollinger Bands (BB) - showing if the price is above/below/in the channel.
Breakout Pivots - Displaying when the price is below/above the most recent pivot low/high.
Commodity Channel Index (CCI) - shows the last CCI value and highlights overbought/oversold values.
Directional Movement Index (DMI) - Up/Down signal (+DI above or below -DI)
Donchian Channel (DC) - showing if the price is above/below/in the channel.
Historical Volatility (HV) - Current value of Historical Volatility
Keltner Channel (KC) - showing if the price is above/below/in the channel.
Moving Average Convergence Divergence (MACD) - Up/Down signal (MACD above / below signal)
Moving Average Crossover (MA Cross) - Displaying MA crosses signals (SMA, EMA, WMA, HMA, VWMA, SMMA, DEMA, VWAP supported)
Moving Average Distance (MA DIST) - Displaying distance to the MA (SMA, EMA, WMA, HMA, VWMA, SMMA, DEMA, VWAP supported)
Price - Displaying the last price for the instrument
Relative Strength Index (RSI) - Displaying the last RSI value and highlighting overbought/oversold values.
Stochastic (STOCH) - Displaying the last Stochastic value and highlighting overbought/oversold values.
Stochastic RSI (STOCH RSI) - Displaying the last Stochastic RSI value and highlighting overbought/oversold values.
SuperTrend - Current state of the SuperTrend.
True Strength Index (TSI) - Displaying the last TSI value and highlighting overbought/oversold values.
We're already working on adding a few more supported indicators. If you have any ideas about the indicators you want to see in our screener, contact us, and we'll consider them.
Disclaimer
Please remember that past performance may not be indicative of future results.
Due to various factors, including changing market conditions, the strategy may no longer perform as well as in historical backtesting.
This post and the script don’t provide any financial advice.
