Stablecoin Supply Ratio Oscillator
The Stablecoin Supply Ratio Oscillator (SSRO) is a cryptocurrency indicator designed for mean reversion analysis and sentiment assessment. It calculates the ratio of CRYPTO:BTCUSD 's market capitalization to the sum of stablecoins' market capitalization and z-scores the result, offering insights into market sentiment and potential turning points.
Methodology:
The SSRO is calculated as follows-
method ssro(float src, array stblsrc, int len) =>
float ssr = src / stblsrc.sum() // Source of the underlying divided by the sum of stablecoin sources
(ssr - ta.sma(ssr, len)) / ta.stdev(ssr, len) // Z-Score Transformed
This ratio is Z-Scored to provide a standardized measure, allowing users to identify periods of market fear or greed based on the allocation of capital between the underlying and Stablecoins ( CRYPTOCAP:USDT , CRYPTOCAP:USDC , CRYPTO:TUSD , CRYPTOCAP:BUSD , CRYPTOCAP:DAI , CRYPTOCAP:USDD , CRYPTOCAP:FRAX ). The z-scored values indicate potential areas of discount (buying opportunities) or premium (selling opportunities) relative to historical patterns.
Customization:
Underlying Asset: SSRO is customizable to different underlying assets, offering a versatile tool for various cryptocurrencies.
Calculation Length: Users can adjust the length of the calculation, tailoring the indicator to short or long-term analysis.
Visualization: SSRO can be displayed as candles, providing a visual representation of premium and discount areas.
Interpretation:
Market Sentiment: Lower SSRO values may indicate market fear, suggesting a preference for stablecoins as a relatively safer haven for capital. Conversely, higher values may suggest market greed, as more capital is allocated to the underlying asset.
Utility and Use Cases:
1. Mean Reversion Analysis: SSRO identifies potential mean reversion opportunities, guiding traders on optimal entry and exit points.
2. Sentiment Analysis: The indicator provides insights into market sentiment, aiding traders in understanding market dynamics.
3. Macro Analysis: The majority of cryptos follow \ correlate to CRYPTO:BTCUSD , Therefore by assessing premium and discount areas of CRYPTO:BTCUSD relative to the chosen underlying asset, users gain insights into potential market tops and bottoms.
4. Divergence Analysis: SSRO divergence from price trends can signal potential reversals, providing traders with additional confirmation for their decisions.
The Stablecoin Supply Ratio Oscillator is a valuable tool for cryptocurrency traders, offering a nuanced perspective on market sentiment and mean reversion opportunities. Its customization options and visual representation make it a versatile and powerful addition to the crypto analyst's toolkit.
M-oscillator
VAcc (Velocity & Acceleration)VAcc (Velocity & Acceleration) is a momentum indicator published by Scott Cong in Stocks & Commodities V. 41:09 (8–15). It applies concepts from physics, namely velocity and acceleration, to financial markets. VAcc functions similarly to the popular MACD (Moving Average Convergence Divergence) indicator when using a longer lookback period, but produces more responsive results. With shorter periods, VAcc exhibits characteristics reminiscent of the stochastic oscillator.
🟠 Algorithm
The average velocity over the past n periods is defined as
((C - C_n) / n + (C - C_{n-1}) / (n - 1) + … + (C - C_i) / i + (C - C_1) / 1) / n
At its core, the velocity is a weighted average of the rate of change over the past n periods.
The calculation of the acceleration follows a similar process, where it’s defined as
((V - V_n) / n + (V - V_{n - 1}) / (n - 1) + … + (V - V_i) / i + (V - V_1) / 1) / n
🟠 Comparison with MACD
A comparison of VAcc and MACD on the daily Nasdaq 100 (NDX) chart from August 2022 helps demonstrate VAcc's improved sensitivity. Both indicators utilized a lookback period of 26 days and smoothing of 9 periods.
The VAcc histogram clearly shows a divergence forming, with momentum weakening as prices reached new highs. In contrast, the corresponding MACD histogram significantly lagged in confirming the divergence, highlighting VAcc's ability to identify subtle shifts in trend momentum more immediately than the traditional MACD.
@tk · spectral█ OVERVIEW
This script is an indicator that helps traders to identify the price difference between spot and futures of the current crypto plotted into the chart. It works in both types of markets, when the chart is plotting the crypto in spot market, it will compare with its respective futures ticker and vice-versa. If the current asset isn't a crypt ticker, the indicator will not be plotted into the chart.
█ MOTIVATION
Since crypto's derivative market is based on spot market asset's price, to calculate the arbitrage mechanisms that attempts to balance the asset price, this indicator can help traders to identify some spot and futures price divergence that can create an anomaly of funding rate and can push it to an extreme negative — or positive — rate. So, easing to track the price difference between both markets will bring more evidences to identify an artificial price move, specially in crypto assets with low market cap.
█ CONCEPT
The trading concept to use this indicator is the concept of the arbitrage machamism created by exchanges that calculates the funding rate based on spot and futures price difference that will vary from exchange to exchange. This strategy don't works alone. It needs to be aligned together with others indicators like Exponential Moving Averages, Chart Patterns, Support and Resistance, and so on... Even more confluences that you have, bigger are your chances to increase the probability for a successful trade. So, don't use this indicator alone. Compose a trading strategy and use it to improve your analysis.
█ CUSTOMIZATION
This indicator allows the trader to customize the following settings:
GENERAL
Text size
Changes the font size of price difference table to improve accessibility.
Type: string
Options: `tiny`, `small`, `normal`, `large`.
Default: `small`
Position
Changes the position of price difference table.
Type: string
Options: `top_left`, `top_center`, `top_right`, `middle_left`, `middle_center`, `middle_right`, `bottom_left`, `bottom_center`, `bottom_right`.
Default: `bottom_right`
Pair Quote
The ticker quote symbol that will be used to base the ticker comparison from spot to futures (e.g. BTCUSDT which `USDT` is the quote. ETHBTC which `BTC` is the quote).
Type: string
Default: USDT
Spectrum Color
The color of the spectrum candles. Spectrum candles are the candles of the opposite market. If the current ticker is in the spot market, the spectrum candles will be the price of the futures market.
Type: color
Default: #434651
█ FUNCTIONS
The indicator contains the following functions:
stripStarts(src, str)
Strips a defined pattern from a string.
Parameters:
src: (string) Source string
str: (string) String pattern to be stripped from start of source string.
Returns: (string) Stripped string with matched regex pattern.
Ichimoku Oscillator With Divergences [ChartPrime]The Ichimoku Oscillator is a trading indicator designed to streamline the interpretation of Ichimoku clouds. It aims to refine and condense the complexities of the Chikou (the lag line), presenting its implications in real-time through an oscillator format, beneficial for those familiar with Ichimoku components but to have a new interpretation of their indicators.
The basics of an Ichimoku:
Conversion Line (Tenkan-Sen): It represents a midpoint of the highest and lowest prices over a specific period, usually 9 periods, reflecting short-term price movements.
Base Line (Kijun-Sen): It acts similarly to the Conversion Line but over a longer period, typically 26 periods, representing medium-term price movements.
Leading Span A & B (Kumo): Span A is the average of the Conversion Line and Base Line, and Span B is the midpoint of the highest and lowest prices over a usually longer period, typically 52 periods. Their interaction denotes trend direction, and the cloud color changes depending on whether Span A is above or below Span B, indicating bullish or bearish market conditions, respectively.
Lagging Span (Chikou Span): It is the current closing price plotted 26 periods behind, assisting in confirming the trend direction and potential momentum.
Advantage of an Oscillator:
Utilizing the oscillator format allows traders to interpret market dynamics more efficiently by visualizing the momentum and trend strength in a bounded range, enabling quick assessments of overbought or oversold conditions. Creating this oscillator provides multiple advantageous; particularly in sideway markets, helping to identify potential reversal points and offering insights on market entries and exits. When building this oscillator we've put a focus on unique interpretations such as overbought and sold areas and divergences; otherwise not found in traditional Ichimoku techniques. It is important to note these divergences are naturally not 100% real time.
When the oscillator turns green; the market is in an uptrend, red for downtrend and yellow for a transitioning market. The center line and the inner most cloud represent a balanced market state.
Key Features & Input Parameters:
Signal Source: Allows the selection of the price data source for signal generation, such as closing prices, and it’s the foundational parameter upon which the oscillator functions.
Normalization Settings: Users can select the normalization mode (“All”, “Window”, or “Disabled”), influencing how the oscillator scales its values. When enabled, it will scale from 100 to -100, allowing the user to understand better the relative positioning of price data.
Smoothing: This indicator offers advanced smoothing features, with options for additional smoothing, allowing traders to adjust the signal's sensitivity to price movements.
Kumo & Chikou Visibility: Traders can customize the visibility settings of Kumo and Chikou, tailoring the display of each component to their preference, enabling a cleaner and more intuitive view of market conditions.
Color Coding: Each component and condition, like bullish or bearish states, can be color-coded, providing visual cues to enhance the interpretability of market trends and states.
Color on Conversion: The oscillator provides an option to color the signal based on the crossover of the conversion and base lines.
Divergence: The oscillator can detect and highlight regular and hidden bullish and bearish divergences between the signal and price, aiding traders in identifying potential trend reversals or continuations.
Alerts:
The list of inbuilt alerts are provided below:
Inside Cloud: The signal line is inside the cloud.
Up Out of Cloud: The signal line crossed above the cloud.
Down Out of Cloud: The signal line crossed below the cloud.
Future Kumo Cross Bullish: The future Kumo lines have crossed in a bullish manner.
Future Kumo Cross Bearish: The future Kumo lines have crossed in a bearish manner.
Current Kumo Cross Bullish: The current Kumo lines have crossed in a bullish manner.
Current Kumo Cross Bearish: The current Kumo lines have crossed in a bearish manner.
Conversion Base Bullish: The conversion line crossed above the base line.
Conversion Base Bearish: The conversion line crossed below the base line.
Signal Bullish on Conversion Base: The signal line crossed above the maximum of conversion and base lines.
Signal Bearish on Conversion Base: The signal line crossed below the minimum of conversion and base lines.
Chikou Bullish: The Chikou line crossed above zero.
Chikou Bearish: The Chikou line crossed below zero.
Signal Over Max: The signal line crossed above the max level.
Signal Over High: The signal line crossed above the high level.
Signal Under Min: The signal line crossed below the min level.
Signal Under Low: The signal line crossed below the low level.
Chikou Over Max: The Chikou line crossed above the max level.
Chikou Over High: The Chikou line crossed above the high level.
Chikou Under Min: The Chikou line crossed below the min level.
Chikou Under Low: The Chikou line crossed below the low level.
Signal Crossover MA: The signal line crossed over the moving average.
Signal Crossunder MA: The signal line crossed under the moving average.
Regular Bullish Divergence: Regular bullish divergence detected.
Hidden Bullish Divergence: Hidden bullish divergence detected.
Regular Bearish Divergence: Regular bearish divergence detected.
Hidden Bearish Divergence: Hidden bearish divergence detected.
Bounce off of Kumo Up: Bullish Bounce off of Kumo.
Bounce off of Kumo Down: Bearish Bounce off of Kumo.
By providing a cohesive visualization of the Ichimoku elements and market momentum within a bounded range, this oscillator is a unique tool and insight into markets.
Worm *Public*This Pine Script code is designed to create a custom technical indicator called "Worm" that helps identify trends in the market based on momentum. Let's break down the code and its settings:
Indicator Title and Overlay:
The indicator is named "Worm (Clean)" and is set to be overlaid on the price chart.
Input Settings:
The code defines various input settings, which can be customized by the user. These settings include:
Indicator Settings (e.g., Alpha, Gap)
Backtest Settings (e.g., HighlightCrossovers, ApplyNorm)
Color Settings (e.g., Buy Color, Sell Color, Wait Color)
Location Settings for displaying the indicator above, below, or at the price.
Toggleable Inputs:
These settings allow you to choose whether the momentum indicator should be displayed above, below, or at the price chart. You can also specify the colors for buy, sell, and wait signals.
Indicator Calculations:
The code calculates momentum using various formulas involving the source price data (e.g., open, high, low, close). Momentum values are stored in variables L0, L1, L2, L3, and lrsi.
It also calculates the Color values for the indicator based on certain conditions and user-defined settings.
Bcolor and Scolor are used to determine the color of the plotted indicator based on buy and sell conditions.
Bollinger Bands (BB) and Keltner Channels (KC) Calculation:
The code calculates Bollinger Bands (UpperBB and LowerBB) and Keltner Channels (UpperKC and LowerKC) using the source price data.
It also determines whether the market is in a squeeze (SqzOn) or not (NoSqz) based on the relationship between BB and KC.
Signal Generation:
Buy and sell signals are generated based on various conditions, including momentum values and the squeeze state.
The color of the indicator line is determined based on the buy and sell signals.
LagF Calculation:
The LagF variable is calculated based on certain formulas involving the L0Line, L1Line, L2Line, and L3Line values.
Control Color:
The Color variable is used to control the color of the LagF indicator line based on certain conditions.
Plotting:
The momentum indicator (Val) is plotted on the chart with the specified colors and style.
The LagF indicator (Worm) is also plotted with a dynamic color based on market conditions.
Alerts are triggered when buy or sell signals are generated.
Experimental Section:
This section appears to be left for experimentation and may contain additional code or features.
Overall, this Pine Script code calculates and displays a custom momentum-based indicator called "Worm" on a price chart. It generates buy and sell signals based on momentum and squeeze conditions and allows users to customize various settings, including indicator location and colors. The code is designed for technical analysis and trend identification in financial markets.
Supertrend with Stochastic OB/OS Arrows @KING
TradingView Idea: Supertrend with Stochastic Arrows @KING
Overview:
- Combining the Supertrend indicator with Stochastic arrows for a comprehensive market
view, providing insights into trend direction and potential reversal points.
Supertrend Settings:
- ATR Length: The length parameter for calculating the Average True Range (ATR).
- Factor: A multiplier used to determine the distance of the Supertrend line from the
price.
Supertrend Display:
The Supertrend is color-coded:
- During an uptrend, it is displayed in green .
- During a downtrend, it is displayed in red .
- The body of the candlesticks is filled with color during the corresponding trend direction.
Stochastic Settings:
- K Length: The period length for the %K line in the Stochastic oscillator.
- K Smoothing: Smoothing factor for %K.
- D Smoothing: Smoothing factor for %D.
- Overbought Level: The threshold indicating an overbought condition.
- Oversold Level: The threshold indicating an oversold condition.
Arrows:
- Buy arrows are displayed below the bars during a downtrend when Stochastic is below the
oversold level.
- Sell arrows are displayed above the bars during an uptrend when Stochastic is above the
overbought level.
Supertrend Display:
- The Supertrend line is plotted with a color change based on its direction.
- The body of the candlesticks is filled with green during an uptrend and red during a downtrend.
Usage:
- Traders can use this script to identify potential entry and exit points, leveraging the
insights provided by both the Supertrend indicator and Stochastic oscillator. This
combination aims to capture trend strength and potential reversal opportunities.
Crypto Daily WatchList And Screener [M]
Hi, this is a watchlist and screener indicator designed for traders in the field of cryptocurrencies who want to monitor developments in other currency pairs and indices.
The indicator consists of two tables. One of them is the table containing indices such as BTC dominance, total, total2, which allows you to track market developments and changes. In this table, you will find price information, daily change, stochastic, and trend information.
The other table includes cryptocurrencies like BTC/USDT, ETH/USDT, DOT/USDT, and more. In this table, you will see real-time prices, daily volume, daily change, stochastic, the correlation coefficient between the pair and Bitcoin, and the trend value calculated based on MACD.
The "Customize" section in the settings enables you to personalize the appearance of the tables according to your preferences.
Adaptive SMI Ergodic StrategyThe Adaptive SMI Ergodic Strategy aims to capture the momentum and direction of a financial asset by leveraging the Stochastic Momentum Index Indicator (SMI) in an ergodic form. The strategy uses two lengths for the SMI, a shorter and a longer one, and an Exponential Moving Average (EMA) to serve as the signal line. Additionally, the strategy incorporates customizable overbought and oversold thresholds to improve the probability of successful trade execution.
How It Works:
Long Entry: A long position is taken when the ergodic SMI crosses over the EMA signal line, and both the SMI and EMA are below the oversold threshold.
Short Entry: A short position is initiated when the ergodic SMI crosses under the EMA signal line, and both the SMI and EMA are above the overbought threshold.
The strategy plots the SMI in yellow and the EMA signal line in purple. Horizontal lines indicate the overbought and oversold thresholds, and a colored background helps in visually identifying these zones.
Parameters:
Long Length: The length of the long EMA in SMI calculation.
Short Length: The length of the short EMA in SMI calculation.
Signal Line Length: The length for the EMA serving as the signal line.
Oversold: Customizable threshold for the oversold condition.
Overbought: Customizable threshold for the overbought condition.
Historical Context: The SMI Indicator
The Stochastic Momentum Index (SMI) was developed by William Blau in the early 1990s as an enhancement to traditional stochastic oscillators. The SMI provides a range of values like a traditional stochastic, but it differs in that it calculates the distance of the current close relative to the median of the high/low range, as opposed to the close relative to the low. As a result, the SMI is less erratic and more responsive, offering a clearer picture of market trends.
In recent years, the SMI has been adapted into ergodic forms to facilitate smoother data analysis, reduce lag, and improve trading accuracy. The Adaptive SMI Ergodic Strategy leverages these modern enhancements to offer a more robust, customizable trading strategy that aligns with various market conditions.
Machine Learning: MFI Heat Map [YinYangAlgorithms]Overview:
MFI Heat Maps are a visually appealing way to display the values of 29 different MFIs at the same time while being able to make sense of it. Each plot within the Indicator represents a different MFI value. The higher you get up, the longer the length that was used for this MFI. This Indicator also features the use of Machine Learning to help balance the MFI levels. It doesn’t solely rely upon Machine Learning but instead incorporates a growing length MFI averaged with the Machine Learning MFI at any given index.
For instance, say we are calculating the 10th plot from the bottom, the MFI would be an average of:
MFI(source, 11)
Machine Learning MFI at Index of 10
We do it this way as they both help smooth each other out without relying solely on just one calculation method.
Due to plot limitations, you are capped at 28 Plot Amounts within this indicator, but that is still quite a bit of information you can glean from a Heat Map.
The Machine Learning used in this indicator is of the K-Nearest Neighbor (KNN). It uses a Fast and Slow MFI calculation then sorts through them over Machine Learning Length and calculates the differences between them. It then slices off KNN length to create our Max/Min Distances allotted. It adds the average between Fast and Slow MFIs to a Viable Distances array if their distances are within the KNN Min/Max distance. It then averages all distances in the Viable Distances array and returns the result.
The result of the KNN Function is saved to another ML Data array whose length is that of Plot Amount (Heat Map Size). This way each Index of the ML Data array can be indexed according to the Heat Map Size.
The Average of the ML Data array is the MFI line (white) that you’ll see plotted on the Indicator. There is also the SMA of the MFI Average (orange) which is likewise plotted. These plots allow you to visualize where the ML MFI is sitting and can potentially be useful for seeing when the MFI Average and SMA cross over and under each other.
We’ve heard many people talk highly of RSI, but sadly not too many even refer to MFI. MFI oftentimes may be overlooked, especially with new traders who may not even know what it is. Essentially MFI is an RSI but it also incorporates Volume into its calculations, which in our opinion leads to a more accurate reading; afterall, what is price movement without Volume.
Tutorial:
You may be thinking, this Indicator looks appealing to the eye, but how do I benefit from it trading wise?
Before we get into our visual examples, let's talk briefly about what makes Heat Maps in general a useful tool for trading. Heat Maps give us the ability to visualize and understand lots of data while removing the clutter. We can understand the data of 29 different MFIs without having to look at and decipher 29 different MFI plots. When you overlay too many MFI lines on top of each other, they can be very difficult to read and oftentimes end up actually hindering your Technical Analysis. For this reason, we have a simple solution to this problem; Heat Maps. This MFI Heat Map allows you to easily know (in a relative %) what the MFI level is for varying lengths. For Instance, the First (bottom) plot indexes an MFI of (K(0) (loop of Plot Amount) + Smoothing Length (default 1)) = 1. Since this is indexing (usually) a very low length, it will change much quicker. Whereas the Last (top) plot indexes an MFI of (K(27) (loop of Plot Amount) + Smoothing Length (default 1)) = 28. This is indexing a much higher length of MFI which results in the MFI the higher you go up in the Heat Map to move much slower.
Heat Maps give us the ability to see changes happening over multiple MFIs at the same time, which can be very useful for seeing shifts in MFI / Momentum. Remember, MFI incorporates Volume, so even if the price goes up a lot, if there was low volume, the MFI won’t move as much as an RSI would. However, likewise, if there is high volume but low price movement, the MFI will move slightly more than the RSI.
Heat Maps change color based on their MFI level. If the MFI is >= 90 it is HOT (red), if the MFI <= 9 it is COLD (teal, think of ICE). Green represents an MFI of 50-59 and Dark Blue represents an MFI of 40-49. Green and Dark blue are the most common colors as all the others are more ‘Extreme’ MFI levels.
Okay, time to get to the Examples :
Since there is so much going on in Heat Maps, we’ve decided to focus this tutorial to this specific area and talk about individual locations before talking about it as a whole.
If you refer to the example above where there are 2 white circles; these white circles are highlighting a key location you’ll be wanting to identify within your Heat Maps, many things are happening here:
The MFI crossed over the SMA (bullish).
The Heat Map started changing from mid/dark Blue (30-50 MFI) to Green (50-59 MFI) around the midline (the 50% dashed like).
The Lower levels of the Heat Map are turning Yellow/Orange/Red (60-100 MFI).
The Upper Levels of the Heat Map are still Light Blue - Green (10-50 MFI).
The 4 Key points above, all point towards potential Bullish Momentum changes. You’re likely wondering, but why? Let's discuss about each one in more specific detail:
1. The MFI crossed over the SMA (bullish): What this tells us is that the current MFI Average is now greater than its average over the last (default) 16 bars. This means there's been a large amount of Money Flow (Price and Volume) recently (subjectively based on the last (default) 16 average). This is one of the leading Bullish / Bearish signals you will see within this Indicator. You can enable Signals within the Settings and/or even add Alerts for when these crossings occur.
2. The Heat Map started changing from mid/dark Blue (30-50 MFI) to Green (50-59 MFI) around the midline (the 50% dashed like): This shows us that the index’s in the mid (if using all 28 heat map plots it would be at 14) has already received some of this momentum change. If you look at the second white circle (right), you’ll also notice the higher MFI plot indexes are also green. This is because since their length is long they still have some momentum and strength from the first white circle (left). Just because the first white circle failed in its bullish push, doesn’t mean it didn’t achieve momentum that would later on help to push the price up.
3. The Lower levels of the Heat Map are turning Yellow/Orange/Red (60-100 MFI): It occurred somewhat in the left white circle, but mainly in the right white circle. This shows us the MFI is very high on the lower lengths, this may lead to the current, middle and higher length MFIs following suit soon. Remember it has to work its way up, the higher levels can’t go red unless the lower levels go red first and the higher levels can also lag quite a bit behind and take awhile to catch up, this is normal, expected and meant to happen. Vice versa is also true with getting higher levels to go cold (light teal (think of ICE)).
4. The Upper Levels of the Heat Map are still Light Blue - Green (10-50 MFI): You might think at first that this is a bad thing, but it's not! Remember you want to be Fearful when others are Greedy and Greedy when others are Fearful! You don’t want to buy when the higher levels have a high MFI, you want to buy when you see the momentum pushing up in the lower MFI levels (getting yellow/orange/red in the low levels) while it is still Cold in the higher levels (BLUE OR GREEN, nothing higher than green as it is already slightly too high). There will be many times that it is Yellow or possibly Orange in the high levels and the bullish push still happens, but this is much more risky! The key to trading is to minimize risks while maximizing potential.
Hopefully now you’re getting an idea of how to spot potential bullish momentum changes, but what about bearish momentum changes? Technically they are the exact opposite, so we don’t need to go into as much detail, but lets still take a look at a few examples:
In the example above we marked the 3 times where it was displaying overly bullish characteristics. We marked the bullish momentum occurring with arrows. If you look closely at the start of the arrow to where it finishes, you’ll notice how the heat (HOT)(RED) works its way up from the lower levels to the higher levels. We then see the MFI to SMA cross under. In all 3 of these examples the heat made it all the way to the top of the chart. These are all very bearish signals that represent a bearish momentum movement that may occur soon.
Also, please note, the level the MFI is at DOES matter! That line isn’t there simply for you to see when there are crosses over and under. The MFI is considered to be Overbought when it is greater than 70 (the upper white dashed line, it is just formatted to be on a different scale cause there are 28 plots, but it represents 70). The MFI is considered to be Oversold when it is less than 30 (the lower white dashed line).
If we look to the left a little here where a big drop in price occurred shortly after our MFI and SMA crossed, would we have been able to identify it using the Heat Maps? Likely, No. There was some color change in the lower levels a few bars prior that went yellow/orange/red but before this cross happened they all went back to Dark Blue. In the middle section when the cross happened it was only Green and Yellow and in the upper section we are Blue. This would be a very risky trade to go on as the only real Bearish Indication was the MFI to SMA cross under. Remember, you want to reduce risk, you don’t want to simply trade on everytime the MFI and SMA cross each other or you’ll be getting yourself into many risky trades based on false signals.
Based on what you’ve learned above, can you see the signs that are indicating where this white circle may have potential for a bullish momentum change?
Now that we are more zoomed in, you may also be noticing there are colors to the price bars. This can be disabled in the settings, but just so you know what they mean, let’s zoom in a little more and talk about it.
We’ve condensed the Indicator a bit so you can see the bars better here. The colors that are displayed on these bars are the Heat Map value for your MFI (the white line in the Indicator). This way you can better see when the Price is Hot and Cold. As you may see while looking, the colors generally go from cold to hot when bullish momentum is happening and hot to cold when bearish momentum is happening. We don’t recommend solely looking at the bars as indicators to MFI momentum change, as seeing the Heat Map will give you much more data; however it can be nice to see the Heat Map projected on the bars rather than trying to eyeball it yourself or hover over each bar specifically to see their levels.
We will conclude our Tutorial here. Hopefully this has given you some insight to how useful Heat Maps can be and why it works well with a Machine Learning (KNN) Model applied to the MFI.
PLEASE NOTE: You can adjust the line width for the Heat Map within the settings. If you condense the Indicator a lot or have a small screen, likely use a length of 1-2. If you have it stretched out or a large screen, a length of 2-3 will work nice. You just don’t want to have the lines overlapping or it defeats the purpose of a Heat Map. Also, the bigger the linewidth, generally you’ll want to increase the Transparency within the Settings also as it can get quite bright and hurt your eyes over time.
Settings:
MFI:
Show MFI and SMA Crossing Signals: MFI and SMA Crossing is one of the leading Bullish and Bearish Signals in this Indicator. You can also add alerts for these signals.
Plot Amount: How many plots are used in this Heat Map. (2 - 28).
Source: The Source to use in all MFI calculations.
Smooth Initial MFI Length: How much to smooth the Fast and Slow MFI calculation by. 1 = No smoothing.
MFI SMA Length: What length we smooth the MFI Average over to get our MFI SMA.
Machine Learning:
Average MFI data by adding a lookback to the Source: While populating our Heat Map with the MFI's, should use use the Source each MFI Length increase or should we also lookback a Source each MFI Length Increase.
KNN Distance Requirement: To be a valid KNN, it needs to abide by a Distance calculation. Generally only Max is used, but you can change it if it suits your trading style better.
Machine Learning Length: How much ML data should we store? The longer the length generally the smoother the result; which may not be as accurate for something like a Heat Map, so keeping this relatively low may lead to more accurate results.
KNN Length: How many KNN are used in the slice to calculate max/min distance allowed.
Fast Length: Fast MFI length used in KNN to calculate distances by comparing its distance with the Slow MFI Length.
Slow Length: Slow MFI length used in KNN to calculate distances by comparing its distance with the Fast MFI Length.
Smoothing Length: When populating our Heat Map, at what length do we start our MFI calculations with (A Higher value with result in a slower and more smoothed MFI / Heat Map).
Colors:
Change Bar Color: Change bar colors to MFI Avg Color.
Heat Map Transparency: If there isn't any transparency it can be a little hard on the eyes. The Greater the Line Width, generally the more transparency you'll want for your eyes.
Line Width: Set how wide the Heat Map lines are
MFI 90-100 Color: Color when the MFI is between these levels.
MFI 80-89 Color: Color when the MFI is between these levels.
MFI 70-79 Color: Color when the MFI is between these levels.
MFI 60-69 Color: Color when the MFI is between these levels.
MFI 50-59 Color: Color when the MFI is between these levels.
MFI 40-49 Color: Color when the MFI is between these levels.
MFI 30-39 Color: Color when the MFI is between these levels.
MFI 20-29 Color: Color when the MFI is between these levels.
MFI 10-19 Color: Color when the MFI is between these levels.
MFI 0-100 Color: Color when the MFI is between these levels.
If you have any questions, comments, ideas or concerns please don't hesitate to contact us.
HAPPY TRADING!
Blockchain FundamentalThis indicator is made for traders to harness fundamental blockchain data for better decision-making. Unlike traditional tools, this indicator doesn't depend on standard technical indicators. It offers a novel perspective by focusing on core blockchain metrics like capitalization, miner activity, and other intrinsic data elements. I've designed a distinct scoring logic, exclusive to BF, ensuring it's user-friendly and provides actionable insights for traders at all levels.
Mainly created for Bitcoin , but can be applied to any other crypto assets in cost of losing some metrics in the analysis.
Ethereum chart:
Features:
Customizable Moving Averages:
Choose from an array of moving averages, with the flexibility to adjust the length for a tailored analysis, aiding in pinpointing asset trends.
Blockchain Metrics Integration:
Incorporates a range of blockchain metrics such as Market Cap to Realised Cap ratio, Spent Output Profit Ratio, ATH Drawdown, and more.
Blockchain Metrics Evaluation:
Each metric can be toggled on/off to customize the analysis. Using default settings, traders can use all of the metrics combined.
Every metric is essentially evaluated on a scale from -100 to 100 and then combined with others. If any metric is uncertain about its direction (equals to 0), then the score of it is not accounted in a final calculation.
Kalman Filter:
This indicator offers the option to apply a Kalman filter to the signals, enhancing the smoothness and accuracy of the indicator’s output. This is my approach to mitigate the noise in the final output.
Signal Oscillator:
Displays the aggregated score of all selected blockchain metrics.
Offers visual signals with adjustable upper and lower bounds for easy interpretation based on particular asset observation.
Visual Elements:
Signal Oscillator:
A visual representation of the aggregated blockchain fundamental score.
(White line for a raw calculation, orange line for kalman-filtered one)
Signal Counter:
Displays the count of metrics currently being considered in the fundamental score calculation. (grey line at the middle of an indicator)
Buy/Sell Signal Coloring:
The background color changes to indicate potential buying or selling opportunities based on user-defined bounds.
Usage:
Analysis:
Use the signal oscillator to identify potential market tops and bottoms based on blockchain fundamental data.
Adjust the bounds to customize the sensitivity of buy/sell signals.
Customization:
Enable/disable specific blockchain metrics to tailor the indicator to your analytical needs.
Adjust the moving average type and length for better analysis.
Integration:
Combine with other technical indicators to create a comprehensive trading strategy.
Utilize in conjunction with volume and price action analysis for enhanced decision-making. Every output could be used in traders custom strategies and indicators.
BTC hash rate oscillatorOVERVIEW:
This script looks to identify entry point opportunities when moving averages over Bitcoin's hash rate are indicative of Miner capitulation. The script implements an oscillator based on Charles Capriole's "Hash Ribbons & Bitcoin Bottoms" concept. It analyses the short-term and long-term moving averages of Bitcoin's hash rate and then identifies potential entry opportunities from this.
KEY FEATURES:
Signal Generation: The script identifies entry points when the short-term moving average crosses under the long-term moving average and the rate of change falls below a specified threshold. These conditions suggest potential trading opportunities.
Historical Signals: Optionally the script displays historical signals, indicating past instances where hash rate conditions suggested favourable entry points. Users can also assess the script's historical performance.
USAGE:
The generated opportunities can be used as potential entry points for BTC. The script provides visual cues on the chart (blue labels above the miner capitulation zones) for identification of signals. Customisable moving average lengths and threshold values are supported, which allow adaptation to various strategies.
CONSIDERATIONS:
Validation: It's recommended that careful backtesting over historical data be done before acting on any identified opportunities.
User Discretion: Trading decisions should not rely solely on this script. Users should exercise their judgment and consider market conditions.
Note: This script identifies opportunities based on historical data and should be used with caution, as past performance is not indicative of future results.
Intraday Intensity Index [SyntaxGeek]Intraday Intensity Index
This is a volume-based technical indicator that integrates volume with a security’s price. Use this to follow how intraday highs and lows are moving with volume.
The Intraday Intensity Index was developed by Dave Bostian.
It is one of several indicators that can be used to follow how volume is influencing a security’s price. It provides a continuous volume-focused indicator by using a security’s most recent close, high and low in its calculation while also factoring in volume.
I've searched high and low for the correct implementation of this measure and I can only find it buried within old books or in PineScript's own ta.iii, but no one has provided it as a histogram indicator correctly.
The main difference I can find is that most are not restricting volumes influence to the denominator solely, which is how Dave designed it.
For illustration the correct implementation is:
(2 * close - high - low) / ((high - low) * volume)
Such a simple change but compare to many other indicators that claim to implement the measure and it's easy to see the difference.
I also provided a high/low mode that aims to ease comparison to Bollinger Bands which is something that John Bollinger references when utilizing III.
Setting III to 20 trend and high/low mode can present similar areas of extreme breaks to the high or low and may be great entries for trades but you must complete your own analysis.
K's Reversal Indicator IIK’s Reversal Indicator II uses a moving average timing technique to deliver its signals. The method of calculation is as follows:
* Calculate a moving average (by default, a 13-period moving average).
* Calculate the number of times where the market is above its moving average. Whenever that number hits 21, a bearish signal is generated, and whenever that number if zero, a bullish signal is generated.
The indicator signals short-term to mid-term reversals as a mean-reversion move.
Gann's square of 9 overextended indicatorThis indicator is inspired by the book “The Definitive Guide to Forecasting Using W.D. Gann’s Square of Nine”. It’s designed to identify overextended price levels in the market.
The indicator uses the concept of Gann’s Square of 9, which is a method for forecasting price movements by observing geometric relationships between price and time. It calculates the square root of the price, then subtracts the square root of a simple moving average of the price. The difference is then converted to degrees to create the indicator values.
The indicator plots four horizontal lines, representing two upper and two lower thresholds. When the indicator crosses these lines, it suggests that the price may be overextended and a reversal could be imminent.
Please note that the Price Multiplier parameter needs to be adjusted for each timeframe and security to ensure accurate results. This is because different securities and timeframes can have different price scales, and the multiplier helps to normalize the price data for the calculation.
The indicator also includes a Moving Average Size parameter, which determines the length of the simple moving average used in the calculation.
This indicator can be a useful tool for traders looking to identify potential reversal points in the market. However, like all indicators, it should be used in conjunction with other forms of analysis and it’s not recommended to rely solely on this indicator for trading decisions.
Auto Fibo on IndicatorsThis drawing tool aims to draw auto Fibonacci Retracement Levels on desired indicators.
Users can define the target indicator to draw Auto Fibo Lines, from the "settings tab":
There are six commonly used indicators below the charts that can be selected to draw Fibonacci Retracement lines on:
RSI : Relative Strength Index
CCI : Commodity Channel Index
MFI : Money Flow Index
STOCHASTIC : Stochastic Oscillator
CMF : Chaikin Money Flow
CMO : Chande Momentum Oscillator
Fibonacci Retracement Levels will appear automatically after applying the indicator.
The "Auto Fibo on Indicators" tool looks back. It checks the indicator levels for a desired number of bars and then draws the Fibonacci Levels automatically in the right way, considering the final movements of the indicator.
There are five commonly used Fibonacci Levels added between the Highest and Lowest values such as:
%23.6
%38.2
%50 (Not precisely a Fibonacci Level, indeed)
%61.8 (Golden Ratio)
%78.6
Four extra levels can be added from the settings tab by checking their boxes:
%127.2 (adjustable level)
%161.8
%261.8
%361.8
Default lookback bars of Auto Fibo Levels: 144 (which is also a Fibonacci number)
Default Indicator: RSI
Default Indicator length: 14
Default data source: CLOSE
Users can also define and show overbought and oversold levels by unchecking the "Do not Show Indicator Overbought / Oversold Levels?" button from the settings menu.
In technical analysis, Fibonacci Levels on price can guide valuable trading signals for investors.
Levels can be significant support and resistance levels for breakouts and turning points.
This drawing tool aims to follow those necessary levels on indicators to observe critical levels and breakouts.
Bunch of WillyThe indicator allows you to track overbought/oversold conditions using the Williams indicator on several higher timeframes of the same ticker on one chart. Based on the relative position of the lines of different timeframes and their position relative to the exponential moving average, you can track the occurrence of situations of simultaneous overbought/oversold of several timeframes, which is a cleaner reversal signal than overbought/oversold on just one chart timeframe. So far the script itself does not indicate these points, but perhaps in one of the next updates I will fix this.
In addition, the exponential moving average can be used to determine the direction of the trend.
Индикатор позволяет на одном графике отслеживать перекупленность/перепроданость по индикатору Вильямса на нескольких более высоких таймфреймах того же тикера. Основываясь на взаимном положении линий разных таймфреймов и их положении относительно экспоненциальной скользящей средней можно отслеживать возникновение ситуаций одновременной перекупленности/перепроданности нескольких таймфреймов что является более чистым разворотным сигналом чем перекупленность/перепроданность на одном лишь таймфрейме графика. Пока скрипт сам не обозначает эти моменты, но возможно в одном из следующих обновлений я это исправлю.
Кроме того по экспоненциальной скользящей средней можно определять направление тренда.
Cumulative SymbolThis indicator attempts to show price source delta, mostly for intraday trading but may have applications on higher timeframes.
Choose a different symbol from the chart, or use formulas, pick price source (close, open, lows, etc) and a cumulation calculation type.
There are three to choose from and the tooltip provides the differences, they are as follows:
1) Basic - quite simply just takes the symbol source value and keeps a rolling summation
2) Advance or Decline - handles negative values as reductions to the cumulative calculation, useful to find delta pivot areas
3) Ratio - useful for ... ratio symbols ... such as market internals or your own custom ratios where 0 is balance/mid.
The trend line can be adjusted via length, histogram and trend colors indicate trend and directional shifts at a glance.
Since many ratio symbols, and some indexes, (looking at you NYA), don't offer volume I opted to drop it from this indicator.
I think every other indicator that tracks delta on TradingView makes use of volume and I couldn't find a single one that didn't and as such there is a gap in the vast library of indicators.
Enjoy!
Test - Symbiotic Exiton Measure Enthropic Nexus indicatorThe Symbiotic Exiton Measure Enthropic Nexus (SEMEN) Indicator is a technical analysis tool used in trading and investing. It's name might sound complex, but its function is quite simple - to help traders make informed decisions about buying or selling stocks by predicting market trends.
The SEMEN indicator uses a combination of various factors such as volume, price action, moving averages, and other indicators to generate a single numerical value that represents the overall health of the market. A high reading indicates a strong uptrend, while a low one suggests a downtrend.
Traders can use this information to enter or exit positions with confidence.
In essence, the SEMEN indicator provides a comprehensive view of the market's sentiment and direction, making it an essential tool for any trader or investor looking to make profitable decisions in today's volatile stock markets.
~description generated with Airoboros7b
- The indicator is experimental so use at your own discretion..
Price Variation Percent (PVP)This indicator shows the percentage of price variation, depending on the length of bars that the user chooses.
At a glance you can see if the price jumps in volatility and how often it does so. Very useful for scalping.
The upper and lower bands are limits of price variation in percentage, therefore when there is a crossing above or below you can immediately see how volatile the asset is and between what percentages of change it is moving.
Xeeder - Comparison RSI IndicatorXeeder - Comparison RSI Indicator (CRI)
The "Xeeder - Comparison RSI Indicator" (CRI) is a sophisticated tool designed to assist traders in analyzing and comparing the Relative Strength Index (RSI) and Moving Averages (MA) of two different securities simultaneously. This indicator is instrumental in identifying potential shifts in market momentum and strength between two assets.
Details of the Indicator:
Security Input Settings: This feature allows traders to input the symbols of two securities they wish to compare. The input is facilitated through text boxes where traders can enter the ticker symbols of their chosen securities.
Moving Average (MA) Settings: Traders have the option to select different types of moving averages such as SMA, EMA, WMA, among others. The settings also allow for the adjustment of the length of the moving average and the standard deviation multiplier for Bollinger Bands.
RSI Settings: This section allows traders to specify the length of the RSI calculation, which is used to analyze the momentum of the securities.
Dynamic RSI and MA Plotting: The indicator plots the RSI and its moving average for both securities dynamically on the chart, with distinct colors for easy differentiation and analysis.
RSI Bands: The indicator displays multiple RSI bands (Upper Band 1 & 2, Middle Band, Lower Band 1 & 2) as dashed horizontal lines, helping traders identify potential overbought and oversold regions.
Gradient Fill for Overbought and Oversold Regions: The indicator features a gradient fill between the RSI plot and the middle line, visually representing the overbought and oversold regions in different colors.
How to Use the Indicator:
Input Security Symbols: Start by entering the symbols of the two securities you wish to compare in the respective input boxes.
Configure MA and RSI Settings: Adjust the settings for the moving average type, length, and RSI length according to your trading strategy and analysis needs.
Analyze RSI and MA Plots: Observe the plotted RSI and moving averages for both securities to analyze and compare their momentum and trend characteristics.
Utilize RSI Bands: Use the RSI bands as reference points to identify potential overbought and oversold regions, and to gauge the relative strength between the two securities.
Interpret Gradient Fill: Pay attention to the gradient fill regions which visually represent overbought and oversold conditions, assisting in the identification of potential reversal points.
Example of Usage:
As a trader with a knack for developing innovative trading strategies, you can utilize the CRI indicator to enhance your swing trading approach. Here's how you might integrate this tool into your strategy:
Select Securities: Choose two securities that you are interested in comparing, perhaps from sectors you have identified as having potential based on your macroeconomic and geopolitical analysis.
Adjust Settings: Configure the RSI and MA settings to align with the characteristics of the selected securities and your trading strategy.
Analysis and Comparison: Analyze the RSI and MA plots to identify potential divergences or correlations between the two securities, which might indicate trading opportunities.
Utilize RSI Bands: Use the RSI bands to identify potential entry and exit points, aligning them with your analysis of broader market conditions and your trading strategy.
Content Creation: Leverage the insights gained from using the CRI indicator to create captivating content for your audience, sharing your analysis and perspectives on the selected securities and market conditions.
Remember, the CRI indicator serves as a powerful tool in your trading arsenal, offering a unique perspective on market dynamics and facilitating a deeper analysis of securities. Always consider the broader market context and your trading strategy when utilizing this tool.
Support & Resistance IndicatorThe MACD Support & Resistance indicator is an enhanced tool to better visualize potential supply (resistance) and demand (support) zones based on the MACD indicator. It combines the strength of the MACD with recent price highs and lows to depict potential breakout or reversal areas in the market.
Features:
MACD Settings: Users can adjust the fast length, slow length, source of MACD, signal smoothing, and MA type for both the oscillator and the signal line.
Dynamic Color Settings: Customize the color of supply boxes, demand boxes, and closed boxes for improved visualization.
Table View: An optional table can be displayed showing the average MACD high and low values, with customizable table position, size, background color, and text color.
Historical MACD Average: The indicator uses a historical average of MACD pivot highs and lows to determine potential support and resistance zones.
Real-Time Zone Detection: The indicator plots 'High Boxes' when the MACD crosses above its average high and 'Low Boxes' when it crosses below its average low, which signifies potential breakout or reversal zones.
How It Works:
The MACD line is calculated using user-defined moving average types (either EMA or SMA).
Pivot highs and pivot lows of the MACD are identified over a specified period.
Historical MACD highs and lows are stored and managed for average calculation. The average MACD high and low values are then used to determine potential trading zones.
When the MACD crosses over its average high, a 'High Box' (representing a potential breakout zone) is plotted from the recent high price to the candle top.
Conversely, when the MACD crosses under its average low, a 'Low Box' (indicating a potential reversal zone) is plotted from the recent low price to the candle base.
As price progresses, the boxes can either extend (if price stays within the zone) or close if a breakout happens.
For those who prefer a tabular view, an optional table displays the average MACD high and low, enhancing the on-chart data representation.
Use Cases:
Traders can use this indicator as an additional tool to spot potential breakout or reversal areas based on the MACD's behavior against its historical average. The visual representation in the form of boxes can assist in making better trading decisions by offering a clear picture of potential supply and demand zones.
Note: As with all trading indicators, it's advisable to use this tool in conjunction with other technical analysis methods or indicators for more informed decision-making.
Fibonacci Oscillator (Expo)█ Overview
The Fibonacci Oscillator is a multi-faceted oscillator designed to provide traders with a comprehensive understanding of market trends and retracement points. Built on the Fibonacci ratios, it combines the functionalities of popular oscillators like RSI and MACD with unique insights into the market structure. This oscillator not only helps identify trend direction but also pinpoints overbought and oversold levels, making it an essential tool for various trading strategies.
█ How to Use
Identify Trends
Use the oscillator to identify the direction of the market trend.
Identify Retracements
Use the oscillator to identify the retracements.
█ Settings
Fibonacci Settings
These settings let you customize the Fibonacci level to focus on, thereby allowing you to tailor the oscillator according to your trading preferences.
Oscillator Settings
You can also choose between different oscillator types (RSI, MACD, Histogram) and adjust their respective settings like lengths, signals, and colors.
-----------------
Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
RSI Trend Detector PSAR BasedRSI Trend Detector is based on the Direction of PSAR. This indicator helps the easy detection of Trend Direction and Sideways Movement of Price. It was difficult to determine the RSI Trend Direction in a basic RSI indicator. one cannot decide the exact entry point where to enter.
RSI Trend Detector helps with the direction of trend using PSAR direction which is almost instant direction changing indicator with Zero Lag. The color of the RSI changes immediately based on PSAR direction. One can determine the trend whether its in UP / Down or Sideways.
One can easily detect Pullback and entry points using this indicator.
The basic working can be interpreted with a normal default RSI, The only additional feature is the direction of trend using a SAR signal.
Oversold Zone is below 30
Overbought Zone is above 70
how ever RSI above 50 is treated a UP trend and Below 50 as Down Trend.
when RSI is between 40 and 60 price must be considered as Sideways. One can easily interpret the TREND.
Yellow Line = RSI Moving Average
RED and Green Line= RSI
Grey Zone = Sideways
Horizontal line = RSI level 50
Settings can be changed as required.
RSI Line:
RSI Above 50 up trend and Entry when color is green
RSI Below 50 down trend and Entry when color is Red
RSI in Grey Zone is sideways, wait for a breakout
RSI above 50 and color is red then its a pullback in uptrend
RSI below 50 and color is green then its a pullback in downtrend
ALERTS:
Up signal and Down Signal are provided when ever RSI crosses RSIMA
Up Signal: RSI crosses RSI Moving Average upwards
Down Signal: RSI crosses RSI Moving Average Downwards
Hope the Tradingview community likes this.
