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.
M-oscillator
VAcc Pro: Velocity and AccelerationVAcc is an abbreviation for V elocity and Acc eleration. It is an universal momentum indicator.
Overview
I initially introduced this indicator in the September 2023 edition of the magazine traders.com . It is to be available in most trading platforms and charting software.
Concepts
Price movements adhere to the principles of physics. While momentum indicators typically approximate velocity, and in the case of MACD histogram, also acceleration, VAcc directly incorporates these fundamental concepts. This unique approach makes VAcc a generic momentum indicator. Traders can employ their physics knowledge to interpret VAcc, as opposed to having to understand the unique features of each individual indicator.
My TASC article presented compelling comparisons with MACD and Stochastics. VAcc is notably more responsive, aligns more precisely with price peaks and troughs, identifies divergence more effectively, is more robust with parameter selection, and offers simplicity in interpretation.
Applications
VAcc displays velocity in a single line form and acceleration as histogram.
Over longer lookback periods, VAcc closely mirrors the behavior of MACD because of trendy portion in the price is more dominant over noises. Nevertheless, there are noteworthy distinctions between VAcc and MACD:
Display Format : VAcc employs a single-line display, in contrast to MACD's two-line approach. Consequently, VAcc lacks the concepts of the 'golden cross' and the 'death cross,' which are typically associated with MACD's dual-line configuration.
Golden Cross and Death Cross : In the context of VAcc, a traditional 'golden cross' manifests when the acceleration histogram crosses above the zero line, signifying a potential bullish signal. Conversely, a 'death cross' is indicated when the acceleration crosses below the zero line, suggesting a potential bearish signal.
With shorter lookback periods, VAcc exhibits characteristics akin to oscillators like Stochastic and RSI because volatility is more prevalent in short periods. As VAcc is unbounded, the Pro version of VAcc introduces an overbought/oversold band, complementing the standard velocity and acceleration readings.
VAcc band operates in a manner reminiscent of the overbought/oversold boundaries found in Stochastics and RSI indicators. However, what sets the VAcc band apart is its dynamic determination, as opposed to the static values employed by the latter two.
Calculations
Using m as filtering period, the average Velocity over n period is calculated as
VAv = ema({ (C - Cn) /n+ (C - Cn-1) /(n-1)+ …+ (C - Ci) /I+ …+ (C - C1) /1 } / n, m)
Similarly, the average acceleration over n periods is
Acc = {(v - vn) /n + (v - vn-1) /(n-1) + …+ (v - vi) /I +... + (v - v1) /1}/n
Note that the coefficient of each item in Vav and Acc series is:
1/n, 1/(n-1), …, 1/i, …, 1
They are essentially the weighs for each item, with the furthest carrying the least weigh 1/n, and the nearest unweighted. This natural weighing ensures the responsiveness of this indicator.
Parameter Settings
VAcc utilizes just two parameters: the lookback length and filter period. Depending on your trading style, consider the following settings:
1. Long-term traders may opt for 60 for the lookback length and 9 for the filter period.
2. Swing traders might find 34 and 5 to be suitable settings.
3. Short-term traders may prefer 21 for the lookback length and 3 for the filter period.
MACD OB-OS SLOcryptoMACD OB-OS SLOcrypto
Description:
Uncover hidden opportunities within market trends using the RSI-MACD Trend Pullback Indicator. Crafted to aid traders in identifying potential pullbacks within established trends, this indicator combines the strength of the Relative Strength Index (RSI) and the Moving Average Convergence Divergence (MACD).
Key Features:
RSI Component:
The RSI, a momentum oscillator, is employed to spot potential pullbacks within an existing trend. In an uptrend, observe the RSI crossing below the oversold level (e.g., 30). This suggests a temporary weakening of the trend, presenting an opportunity for a pullback.
MACD Component:
The MACD, derived from moving averages, complements the RSI signals. In an uptrend, traders monitor the MACD crossing below the oversold level, aligning with the RSI signal. This convergence indicates a potential pullback within the ongoing trend.
How to Use:
Uptrend (Pullback Opportunity):
As the market displays a clear uptrend, observe the RSI for a crossover below the oversold level (e.g., 30).
Confirm the pullback signal with the MACD crossing below the oversold level.
Consider entering buy positions, leveraging the pullback within the overall uptrend.
Downtrend (Pullback Opportunity):
In a downtrend, watch for the RSI to cross above the overbought level (e.g., 70).
Confirm the pullback signal with the MACD crossing above the overbought level.
This alignment signals a potential pullback within the prevailing downtrend, offering a chance to enter short positions.
Risk Management:
Implement effective risk management strategies, including the use of stop-loss orders, to safeguard trades.
Use additional analysis and combine indicators for a well-rounded trading strategy.
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Description:
The MACD OB-OS SLOcrypto indicator combines two popular technical analysis tools, the Smooth RSI (Relative Strength Index) and the MACD (Moving Average Convergence Divergence), to provide a comprehensive view of potential market trends and reversal points.
Components:
Smooth RSI:
Parameters: Length (14), Fast Length (5), Slow Length (10), Smoothing (15)
The Smooth RSI is a modified version of the Relative Strength Index (RSI), a momentum oscillator that measures the speed and change of price movements. It is smoothed using a combination of fast and slow moving averages.
MACD Using RSI as the Source:
Parameters: Fast Length (12), Slow Length (26), Signal Smoothing (9)
The MACD is calculated using the RSI as the source. It employs user-defined fast and slow lengths and a signal line for smoothing. The MACD values are then scaled and adjusted to start from 50, allowing for better visualization.
Additional Features:
Overbought and Oversold Levels: The indicator marks overbought (80) and oversold (20) levels for the RSI, providing potential reversal points.
Dynamic Moving Average Types: Users can choose from various moving average types (SMA, EMA, WMA, VWMA, HMA) for both the RSI and MACD calculations.
Adjustable Parameters: Users can customize parameters such as MACD multiplication factor, overbought/oversold levels, and moving average types to suit their trading preferences.
Usage:
Trend Identification: The MACD component helps identify potential trend changes and crossovers, while the Smooth RSI provides insights into overbought and oversold conditions.
Reversal Signals: Traders may look for signals when the MACD crosses above the overbought level or below the oversold level, potentially indicating reversal points.
Note: Always consider multiple indicators and market conditions before making trading decisions. This indicator serves as a tool for technical analysis and should be used in conjunction with other methods.
@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.
Quantum Market Strength Indicator (MSI)The Market Strength Indicator (MSI) is yet another in our stable of volume-based indicators, and as such, is a must-have tool for trading virtually any type of market and across a myriad of applications from trend trading to swing trading, scalping, and much more. While its sister indicator, the Currency Strength Indicator (CSI), helps you analyze which currencies are oversold, overbought, correlating, and trending, the MSI or Market Strength Indicator does this also, but in this case, for all markets, including stocks, ETFs, futures, and cryptocurrencies, but with one key difference – VOLUME.
As with our core methodology of volume price analysis, volume adds an entirely new dimension to trading analysis as it reveals the driving pressure behind the price action, be it strong or weak, which are all factored into the algorithm that drives the Market Strength Indicator. But with the MSI indicator, its use and application is only limited by your imagination.
For example, we can use it to see which markets are correlating and which are not so that we might use it as an intraday tool for index futures. And, of course, with knowledge gained from the stock trading and investing program, we could then further validate any analysis by setting each against the top five market cap stocks, for confirmation of strength and to give us more confidence in trading an index future.
And not just index futures, but any futures you care to consider, such as energy, metals, softs, currencies or anything else.
For day traders of stocks, you might wish to see which are correlating with one another and which are not, for example, if you are pairs trading, and also whether a particular stock is moving with the primary futures index. If not, this may be a warning sign. And of course, for ETF traders, we have the SPY, a host of ETFs, and alongside them, the sectors, such as the XLK, the XLE, and more, giving you an instant and powerful insight into sentiment across the entire market complex.
The Market Strength Indicator has much to offer; whether you are a stock investor or day trading scalper, index or ETF trader, swing trader or trend trader, it is all here as the indicator signals in a clear and intuitive way when a stock, future or ETF is overbought or oversold in all timeframes, giving you that potent insight into potential reversals from strong to weak and back again. If you enjoy getting into a trend early and trading reversals, then this is the indicator for you, but if you prefer trading trends – no problem, just jump aboard once the move has some momentum and is underway as displayed by the steepness of the line on the indicator.
It’s all here and so much more, from market correlations to market strength and weakness and in all the timeframes from seconds to months.
And just like its sister indicator, the CSI, the MSI is an oscillator that moves seamlessly from overbought to oversold and back again between a value of 100 at the top and zero at the bottom, with each instrument or market represented with a single-colored line. To help further, we’ve included two regions on the indicator to represent these states at 70 and 30, respectively, but you can change these accordingly and perhaps extend them further to 80 and 20. These levels are purely intended as guides to help provide additional information as to the market state and a potential reversal in due course.
Now, in a single indicator, you have the opportunity to gauge sentiment across multiple markets, whether these are correlating or not, and from there develop a myriad of trading opportunities, or alternatively give you that all-important confidence to dive in, or maintain an existing position. Through its unique algorithm based on volume, it is another indicator only limited by your imagination, and like all our other indicators, one we urge you to use in multiple timeframes.
RSI PRECISION v.3RSI PRECISION v.3 (MACD, StochRSI, SMA Signals)
Developed by Giorgos Protonotarios (2021-2023)
RSI PRECISION is an alternative to the classic Relative Strength Index (RSI). The indicator aims to enhance the classic RSI and make it more accurate on longer timeframes. Additionally, the indicator works as an advanced signaling machine, offering five different categories of leading trading signals. RSI PRECISION is an ideal tool for analyzing highly volatile markets, such as cryptocurrency and small-cap stocks.
In this 3rd version, the core formula remains the same, however, there are new trading signals and a great number of new parameters. Traders have the opportunity to fully customize the indicator according to their needs.
What is new ?
The RSI formula remains the same, however, there are additional features:
• Selected StochRSI signals
• Low-timeframe SMA signal (<60 minutes)
• High-timeframe SMA signal (>60 minutes)
• SMA on the RSI PRECISION readings
• Ability to customize everything in settings (tooltips added)
Note: You can turn off any trading signal by unselecting it in Settings>Style.
□ NEW TRADING SIGNALS (v.3)
■ SELECTED STOCHRSI SIGNALS
The selected StochRSI signals are visualized by a cross (+) on the top and bottom of the indicator. The settings for StochRSI are the classic 8.5.3 (customizable). By default, the crossover is generated when StochRSI crosses above 25, and the crossunder when StochRSI crosses below 75.
(i) Bullish StochRSI cross
• Symbol: Cross (+) on the Top
• Event: StochRSI crosses above level 25
(ii) Bearish StochRSI cross
• Symbol: Cross (+) on the Bottom
• Event: StochRSI crosses below level 75
■ SMA CROSSOVERS (LOW/HIGH TIMEFRAMES)
These trading signals are generated when the price of an asset crosses above or below a preset SMA.
There are two different SMAs, one shown on low timeframes, and one on high timeframes. You can adjust the periods for both, by default 200 periods.
(i) Low-Timeframe SMA Cross (<60 minutes)
• Symbol: Bullish (↥) on the top of the indicator and bearish (↧) on the bottom
• Event: The price crosses above or below the selected SMA on low timeframes
(ii) High-Timeframe SMA Cross (>60 minutes)
• Symbol: Bullish (↥) on the top of the indicator and bearish (↧) on the bottom
• Event: The price crosses above or below the selected SMA on high timeframes
■ SMA LINE ON RSI PRECISION
This is just a simple SMA line on the RSI PRECISION readings. By default, it is set at 50 periods.
• SMA Line (blue-dashed)
You can turn it off by unselecting it in Settings>Style.
□ OLDER TRADING SIGNALS
The 3rd version of RSI PRECISION also includes all previous signals.
■ RSI PRECISION CROSSES
This signal corresponds to a bullish/bearish RSI PRECISION cross. By default, it is 5 for a bullish crossover and 100 for a bearish crossunder. These numbers are indicative and can be customized.
(i) Bullish RSI PRECISION Cross
• Symbol: Green arrow (▲) on the Top
• Event: RSI PRECISION crosses above level 5
(ii) Bearish RSI PRECISION Cross
• Symbol: Red arrow (▼) on the Bottom
• Event: RSI PRECISION crosses below level 100
■ MACD CROSSOVER SIGNALS
The MACD signals are visualized by a green/red dot (•). The default settings are the standard MACD settings (12,6,9).
(i) Bullish MACD cross
• Symbol: Green Dot (•) on the Top
• Event: MACD crosses above its signal line
(ii) Bearish MACD cross
• Symbol: Red Dot (•) on the Bottom
• Event: MACD crosses below its signal line
NOTE: In lower timeframes, MACD generates too many signals. You can switch off “MACD BULLISH & BEARISH CROSSOVERS” by clicking on ‘SETTINGS’, then ‘STYLE’, and then unselecting ‘Bullish MACD Cross’ and ‘Bearish MACD Cross’.
■ GOLDEN/DEATH CROSSES (SMA CROSSOVERS)
The cross of the 50-day moving average above the 200-day moving average is called a golden cross, and it is considered a bullish signal. The cross of the 50-day moving average below the 200-day moving average is called a death cross, and it is considered a bearish signal.
The Golden/Death crosses are visualized by (X). By default, 50 periods for the fast SMA and 200 periods for the slow SMA (both are customizable).
(i) Bullish SMA Cross
• Symbol: (X) on the Top
• Event: The fast SMA crosses above the Slow SMA
(ii) Bearish RSI Cross
• Symbol: (X) on the Bottom
• Event: The fast SMA crosses below the Slow SMA
□ More about the Indicator
■ MISSION
Enhancing the classic Relative Strength Index (RSI) and making it more accurate on longer timeframes, during choppy market conditions, and especially near market tops/bottoms.
■ OBJECTIVES
(1) Creating a better RSI that works as an “All-in-one” indicator
(2) Identifying overbought/oversold market levels in a simple and user-friendly manner
(3) Making precise calculations near market tops and bottoms, where price volatility is always booming
(4) Making precise calculations on longer timeframes (weekly, monthly) where the classic RSI readings are hardly readable
(5) Offering five different categories of trading signals (RSI, StochRSI, MACD, Golden/Death Crosses, SMAs) in a single indicator
■ RSI PRECISION CALCULATIONS
The RSI PRECISION formula consists of three (3) different components:
(a) Relative Strength Index component (the classic RSI)
(b) Periodic Price Volatility component (PPV, essential)
(c) RSI Volatility component (less important)
RSI PRECISION FORMULA ADJUSTMENTS
(i) CLASSIC RSI
This measurement corresponds to the classic RSI. If the other two components of the formula are set to zero (0%), then by entering 100% here, the RSI PRECISION becomes identical to the classic RSI.
-By default, 100%
(ii) PERIODIC PRICE VOLATILITY -PPV
The Periodic Price Volatility (PPV) is an advanced measurement of price volatility and an essential component of the core RSI PRECISION formula. You can easily adjust the weight of PPV in the formula.
-By default, 100%
(iii) RSI VOLATILITY
This is an extra measurement of volatility. This time the focus is exclusively on periodic RSI volatility, not on price volatility.
-By default, 5%
■ FINAL THOUGHTS
RSI PRECISION v.3 is an improved RSI indicator offering five leading trading signals. Everything is combined in one place to create an all-in-one TA tool. I have been using it as my only indicator for quite some time.
As always, happy trading, and remember, if you want to rule the world, create code, not war.
□ Giorgos Protonotarios,
Financial Analyst, Building Web
(October 5th 2023)
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.
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.
Directional Pressure (maybexo)Liquidity Candles, observed in financial markets, display distinctive candlestick patterns that are noteworthy. These candles exhibit intentional price behavior aimed at triggering stop-loss orders and momentarily misleading traders. The pattern typically starts with a price movement against the current trend, activating stop-loss orders and capitalizing on liquidity from traders anticipating the prevailing trend. Subsequently, the price swiftly changes course, breaking and conclusively closing beyond the prior candle's range, often surprising unsuspecting traders.
Characteristics:
1. Liquidity Grab:
- Liquidity Candles initiate with a deliberate move against the existing trend, aimed at triggering stop-loss orders and gathering liquidity from traders who have placed stops in anticipation of the initial trend.
- Notably, the size of the wick in this liquidity grab is significant; a larger wick indicates a more substantial liquidity grab and can strengthen the indication of a potential market reversal.
2. Swift Reversal and Breakout:
- Following the liquidity grab, the price swiftly changes direction, breaking and conclusively closing above or below the previous candle's range.
3. Institutional Behavior:
- These candles are often linked to institutional trading behavior, suggesting potential involvement by significant market participants due to their distinct and deliberate price action.
// Diamonds
1. RSI Diamonds:
The RSI Diamonds represent RSI entering either overbought or oversold levels.
These Diamonds serve as an early indication for "Spooky Diamonds" as Spooky Diamonds can only form in these conditions
2. Spooky Diamonds:
The Spooky Diamonds highlight specific candle conditions, aiding in the identification of bullish or bearish momentum in the market while considering the RSI status.
Bullish Candle Momentum: The candle size is greater than the previous candle multiplied by a user-defined factor (filterMultiplier) and the closing price is higher than the opening price. This can suggest bullish momentum.
Bearish Candle Momentum: The candle size is greater than the previous candle multiplied by the filterMultiplier, and the closing price is lower than the opening price. This can suggest bearish momentum.
Important Notes:
The Candles + Diamonds should not be used in isolation as buy or sell signals but rather as additional information for your trading strategy.
The goal of this indicator is to provide a visual representation of RSI data and potential momentum during overbought or oversold conditions.
By utilizing the diamonds and candles, you can easily identify RSI levels and their interaction with candles, aiding in decision-making within your trading strategy.
Disclaimer: Always consider your risk tolerance and conduct thorough analysis before making any trading decisions.
Inspiration Credits:
Vanitati
Mr. Casino
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.
Bonsai OS (Oscillators)Bonsai OS combines four oscillators (RSI, CCI, Stochastic, MACD) in one interface. Features divergence detection, color-intensity, and insights into divergences. Assists traders in spotting potential pivot points.
═════════════════════════════════════════════════════════════════════════
🌳 Bonsai OS 🌳 Advanced Oscillator Suite
📘 Overview
Bonsai OS is a tool tailored for traders focusing on reversal strategies and those keen on identifying market divergences. Combining multiple oscillators into one unified interface, it aids traders in pinpointing potential pivot reversal points.
📌 Algorithm Logic
• Multi-Oscillator Integration: Bonsai OS calculates and integrates the values from four standard oscillators: RSI, CCI, Stochastic, and MACD. Each oscillator's value is derived from its respective mathematical formula, analyzing historical data points.
• Divergence Detection: The tool runs a series of comparisons between price action and oscillator values. When discrepancies (divergences) are observed, they are highlighted, suggesting potential market reversals.
• Price Strength Visualization: A gradient background that is determined by an average of the oscillator values in relation to their historical norms, thereby providing a visual cue about the current price strength, whether it is strong or weak.
• Alerts: Users can set up notifications based on specific divergence insights. Once set criteria are met, alerts are triggered.
🎯 Purpose
• For Professionals: Bonsai OS offers integrated oscillator readings, allowing a more in-depth market analysis.
• For Beginners: Simplified readings and visual cues make it easier for newcomers to understand oscillator indicators and market conditions.
🛠 Distinctive Elements
• Oscillator Fusion: Bonsai OS goes beyond just grouping oscillators. It looks for matching divergences across them, aiming to find stronger signals for market reversals.
• Divergence Indicators: Bonsai OS identifies divergence patterns between price trends and oscillator readings, highlighting their intensity with color variations.
• Insight into Failed Divergences: Recognizing not all divergences lead to reversals, Bonsai OS provides markers for potential false signals, helping traders exercise caution and fine-tune their strategies.
Getting Bullish/Bearish and Divergences
📊 Features
• Data Source Customization: Users have the flexibility to choose between default data inputs or adjust to their preferred price points (like High & Low).
• Combined Divergence Signals: Beyond individual oscillator divergences, Bonsai OS identifies instances when several oscillators indicate divergence at the same time.
• Adaptable Outputs: Outputs like 'Bullish Divergence ▲', 'Getting Bullish ▲', 'Getting Bearish ▼' and 'Bearish Divergence ▼' are plotted as non-displayable 1 or 0 for seamless integration into other custom indicators, ensuring a harmonious integration.
Here's an example of a custom indicator that can be used for inputting data from external sources:
//@version=5
indicator("My Script Template", overlay = true)
group_name = "External Source"
external = input.source(title = "Source", defval = close, inline = "external", group = group_name)
val = input.int(title = ">", defval = 0, inline = "external", group = group_name)
// Your logic follows here...
Bonsai OS as External Source
🎛 How To Use Bonsai OS
1. Select the desired oscillator.
2. Monitor the color changes for market condition insights.
3. Look out for divergence markers to anticipate potential market shifts.
4. If required, set up alerts for real-time updates.
Indicator Settings Menu
📜 Feedback & Continual Development
We welcome your feedback. It's essential for the continuous improvement of Bonsai OS and to better serve the TradingView community.
❗️ Disclaimer
Trading involves risks. Bonsai OS aims to provide an analytical tool to support traders, but it's essential to complement its insights with other research. Always seek advice from financial professionals and trade responsibly.
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.
[ADOL_]Trend_Oscillators_MTF
ENG) Trend_Oscillator_MTF
introduction)
This is a trend analyzer implemented in the form of an oscillator.
An oscillator is a technical analysis tool that identifies the direction of market trends and determines the time period. Making it an oscillator means creating range. By setting the upper and lower limits like this, the unlimited expansion area that can appear on the chart is limited. As a limited area is created, we can identify oversold and overbought areas, which is good for checking momentum.
Through oscillatorization, you can find overbought, oversold, and current trend areas.
It adopts MTF and is a simple but functional indicator.
To use multiple time frames, use the timeframe.multiplier function.
A table was created using the table.new function, and various information windows were installed on the right side of the chart.
I hope this can be a destination for many travelers looking for good landmarks.
- 8 types of moving averages can be selected (in addition to independently developed moving averages), trend area display, signal display, up to 3 multi-time chart overlapping functions, information table display, volatility and whipsaw search, and alerts are possible.
- You can set various time zones in Timeframe. With three timeframes, you can check the conditions overlapping time at a glance.
principle)
Set up two moving averages with different speeds and make the relative difference.
Create the speed difference between the two moving averages using methods such as over = crossover(fast, slow) and under = crossunder(fast, slow).
The point at which the difference in relative speed decreases is where the possibility of inflection is high. Through the cross code, you can find out when the speed difference becomes 0.
Simply crossing the moving average is easy. To fine-tune the speed difference, it is necessary to re-establish the relationship between functions.
Painting the green and red areas is designed to be painted when the three time frames overlap.
Using the code of fill(fast, slow, color = fast>= slow? color.green: color.red, transp = 80, title = "fillcolor")
You can color and distinguish areas.
MA: You can select the MA_type. This is a necessary option because the profit/loss ratio for each item varies depending on the type of moving average.
Start: The starting value to set the oscillator range.
End: This is the last value to set the oscillator range.
Lenght: This is the number of candles used to calculate the calculation formula in the oscillator.
Timeframe: Set the time to overlap with up to 3 time frames.
repaint: You can choose whether to apply repaint. The default is OFF.
The coding for repaint settings for the indicator was written using the recommended method recommended by TradingView.
reference :
security(syminfo.tickerid, tf, src)
Trading method)
With the Multi-Time-Frame (MTF) function, the time zone set in the indicator is displayed the same in any chart time zone.
The repaint problem that occurred when using MTF was resolved by referring to TradingView's recommended code.
User can decide whether to repaint or not. The default is OFF.
- signal
Buy and Sell signals are displayed when there are 3 stacks. Even if there is no triple overlap, you can decide to buy or sell at the point where the short-term line and long-term line intersect.
Entry is determined through Buy and Sell signals, and exit is determined through BL (BuyLoss) and SL (SellLoss).
BL and SL can also be applied as entry.
You can judge overlap by the color of the lines. When two conditions overlap, it is orange, and when one condition overlaps, it is blue.
- Divergence
Divergence is a signal that arises from a discrepancy between the oscillator and the actual price.
Divergence can be identified because the range is set with conditions that have upper and lower limits.
- trend line
As shown in the picture, draw a downward trend line connecting the high points in the same area.
As shown in the picture, an upward trend line is drawn connecting the low points in the same area.
It can be used to view trend line breakout points that candles cannot display.
- Find a property for sale by amplitude
When the low point in the red area and the high point in the green area occur, the difference is regarded as one amplitude and the range is set.
Here, one amplitude becomes a pattern value that can go up or down, and this pattern value acts as support/resistance. It was developed in a unique way that is different from traditional methods and has a high standard of accuracy. This works best when using that indicator. Use 1, 2, 3, or 4 multiples of the amplitude range.
A multiple of 2 is a position with a high probability of a retracement.
- Whipsaw & volatility search section
Whipsaw refers to a trick that causes frequent trading in a convergence zone or confuses the trend in the opposite direction before it occurs. Whip saws are usually seen as having technical limitations that are difficult to overcome.
To overcome this problem, the indicator was created to define a section where whipsaw and volatility can appear. If a whipsaw & volatility indicator section occurs, a big move may occur later.
Alert)
Buy, Sell, BuyLoss, SellLoss, Whipsaw alert
Disclaimer)
Scripts are for informational and educational purposes only. Use of the script does not constitute professional and/or financial advice. You are solely responsible for evaluating the risks associated with your script output and use of the script.
KOR) 트렌드_오실레이터_MTF
소개)
이것은 오실레이터 형태로 구현된 트렌드 분석기 입니다.
오실레이터는 시장의 추세방향을 확인하고 기간을 결정하는 기술적 분석 도구입니다. 오실레이터로 만드는 것은 범위가 생기는 것을 의미합니다. 이렇게 상한과 하한을 정함으로써, 차트에서 나타날 수 있는 무제한적인 확장영역이 제한됩니다. 제한된 영역이 만들어짐에 따라 우리는 과매도와 과매수 구간을 식별할 수 있게 되며, 모멘텀을 확인하기 좋습니다.
오실레이터화를 통해, 과매수와 과매도, 현재의 트렌드 영역을 잘 찾을 수 있습니다.
MTF를 채택했으며, 단순하지만, 기능적으로 훌륭한 지표입니다.
멀티타임프레임을 사용하기 위해 timeframe.multiplier 함수를 사용합니다.
table.new 함수를 사용하여 table을 만들고, 차트 우측에 여러가지 정보창을 갖췄습니다.
좋은 지표를 찾는 많은 여행자들에게 이곳이 종착지가 될 수 있기를 바랍니다.
- 이평선 종류 8종 선택(독자적으로 개발한 이평선 추가), 추세영역표시, 시그널 표기, 최대 3개 멀티타임차트 중첩기능, 정보테이블 표시, 변동성과 휩쏘찾기, 얼러트가 가능합니다.
- Timeframe에서 다양한 시간대를 설정할 수 있습니다. 3개의 Timeframe을 통해 시간을 중첩한 조건을 한눈에 확인할 수 있습니다.
원리)
속도가 다른 두 개의 이평선을 설정하고 상대적인 차이를 만듭니다.
over = crossover(fast, slow) , under = crossunder(fast, slow) 와 같은 방법으로 두개의 이평선의 속도차이를 만듭니다.
상대적 속도의 차이가 줄어드는 시점은 변곡의 가능성이 높은 자리입니다. cross code를 통해 속도차가 0이 되는 시점을 알 수 있습니다.
단순히 이평선을 교차하는 것은 쉽습니다. 세밀하게 속도차이를 조정하는데 함수간의 관계를 다시 설정할 필요가 있습니다.
초록색과 빨간색의 영역을 칠하는 것은 3가지 타임프레임이 중첩될 때 칠하도록 만들어졌습니다.
fill(fast, slow, color = fast>= slow? color.green: color.red, transp = 80, title = "fillcolor") 의 코드를 사용하여
영역을 색칠하고 구분할 수 있습니다.
MA : MA_유형을 선택할 수 있습니다. 이평선의 종류에 따라 종목당 손익비가 달라지므로 꼭 필요한 옵션입니다.
Start : 오실레이터 범위를 설정할 시작값입니다.
End : 오실레이터 범위를 설정할 마지막값입니다.
Lenght : 오실레이터에서 계산식을 산출하기 위한 캔들의 개수입니다.
Timeframe : 최대 3개의 타임프레임으로 중첩할 시간을 설정합니다.
repaint : 리페인팅을 적용할지 선택할 수 있습니다. 기본값은 OFF 입니다.
해당 지표의 리페인트 설정에 관한 코딩은 트레이딩뷰에서 권장하는 추천 방법으로 작성되었습니다.
참고 :
security(syminfo.tickerid, tf, src)
매매방법)
Multi-Time-Frame(MTF) 기능으로 지표에서 설정한 시간대가 어느 차트 시간대에서나 동일하게 표시됩니다.
MTF 사용시 발생하는 리페인트 문제는 트레이딩뷰의 권장코드를 참고하여 해결했습니다.
사용자가 리페인트 여부를 결정할 수 있습니다. 기본값은 OFF 입니다.
- 시그널
시그널의 Buy와 Sell은 3중첩일 경우 표시됩니다. 3중첩이 아니라도 단기선과 장기선이 교차되는 시점에서 매매를 결정할 수 있습니다.
Buy와 Sell 시그널에서 진입을 결정하고 BL(BuyLoss)와 SL(SellLoss) 에서 exit를 결정합니다.
BL과 SL을 진입으로 응용할 수도 있습니다.
라인의 컬러로 중첩을 판단할 수 있습니다. 2개의 조건이 중첩되면 오렌지, 1개의 조건이 중첩되면 블루컬러입니다.
- 다이버전스
다이버전스는 오실레이터와 실제 가격의 불일치에서 발생하는 신호입니다.
상한과 하한이 있는 조건으로 범위를 설정하였기 때문에 다이버전스를 식별가능합니다.
- 추세선
그림과 같이 같은 영역의 고점을 이어 하락추세선을 긋습니다.
그림과 같이 같은 영역의 저점을 이어 상승추세선을 긋습니다.
캔들이 표시할 수 없는 추세선돌파 지점을 볼 수 있게 활용가능합니다.
- 진폭으로 매물대 찾기
빨간색 영역의 저점과 초록색 영역의 고점이 발생할 때, 그 차이를 하나의 진폭으로 보고 범위를 설정합니다.
여기서 하나의 진폭은 위나 아래로 갈 수 있는 패턴값이 되며, 이 패턴값은 지지/저항으로 작용합니다. 전통적인 방식에 없는 독창적인 방식으로 개발된 것으로 정확성 높은 기준입니다. 이것은 해당 지표를 사용할 때 가장 잘 맞습니다. 진폭 범위의 1배수,2배수,3배수,4배수 자리를 사용합니다.
2배수 자리는 다시 돌아오는 되돌림 확률이 높은 위치입니다.
- 휩쏘&변동성 찾기 구간
휩쏘는 수렴구간에서 잦은 매매를 유발하거나, 추세가 발생하기 전에 반대방향으로 혼란을 주는 속임수를 의미합니다. 휩쏘는 보통 극복하기 어려운 기술적 한계로 여겨집니다.
해당지표에서는 이를 극복하기 위해 휩쏘와 변동성이 나타날 수 있는 구간을 정의하도록 만들었습니다. 휩쏘&변동성 표시 구간이 발생하면 이후 큰 움직임이 발생할 수 있습니다.
얼러트)
Buy, Sell, BuyLoss, SellLoss, Whipsaw alert
면책조항)
스크립트는 정보 제공 및 교육 목적으로만 사용됩니다. 스크립트의 사용은 전문적 및/또는 재정적 조언으로 간주되지 않습니다. 스크립트 출력 및 스크립트 사용과 관련된 위험을 평가하는 책임은 전적으로 귀하에게 있습니다.
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!
YinYang MomentumOverview:
YinYang Momentum is a Price, Volume and Momentum Oscillator. Its job is to help you see swings in momentum and the strength of it. It also creates signals (Blood Diamond (Bear) and Support Cross (Bull)) where these momentum swings may occur. YinYang Momentum features 3 Price and 3 Volume 'Mountains with Ice'. There are Predictive, Regular and Confirming Mountains. You have the ability to overlay them on top of each other which helps to decipher momentum swings. The Volume Mountains are very important for showing the strength behind the Price Mountains and their Signals. If you look, you'll notice, as the 'Ice' starts to curve into the 'Mountains' it signals a potential shift in Momentum. The green Mountain is the Predictive, the Blue is the Regular and the Purple is the Confirming. You'll also notice that the Predictive Mountains movements happen first and move much more drastically. When you notice the regular starts to follow suit, there is a potential for a momentum shift. Shortly after, a signal will occur if this shift is actually happening. You can also check the Confirming Mountain for more confirmation (however, leaving the Confirming Mountain active can be a little confusing and make it harder to read signals). YinYang Momentum also features Information Tables. These tables display how the Blood Diamonds and Support Cross' are fairing on different Timeframes. This way, you'll be able to see if it's in a Bullish or Bearish state on critical Time Frames no matter what Timeframe you're trading on.
Before we move onto the tutorial, let's discuss what each of these Mountains and Ice are and how they work. All of our Mountains and Ice are calculated using the same algorithm but with varying sources, lengths and multipliers. We are essentially calculating differences in movement and then sending those differences into an EMA for the Mountain Base and SMA for the mountain Ice. The values we use for the Predictive are much lower and therefore occur much quicker as they aren’t averaged out on longer lengths/time frames; this helps to make it more of a leading Indicator which may predict momentum changes. Our Regular is over a medium length and multipliers that result in a smooth but generally also gradual movement that helps reliability; this helps it act as more of an ‘in the now’ Indication of momentum changes. Our Confirming uses lengths and multipliers that are of a higher value and longer span; this makes it more difficult to use for determining entry / exit locations as it's more of a lagging indicator, but it helps to add confirmation as to whether the momentum change has occurred and wasn't a false signal.
Tutorial:
YinYang Momentum may look like a lot is going on.. And well that’s cause there is.. But that doesn’t mean it's confusing or hard to read once you know what you’re looking for!
To make this tutorial a little easier to understand, let's turn off a few settings and dissect this indicator one thing at a time. YinYang Momentum features Price and Volume mountains. Currently in the photo above we have 2 Price Mountains and 1 Volume Mountain turned on (this is how it's set by default and how we recommend using it), however there are 3 Mountains available for both Price and Volume:
Predictive
Regular
Confirming
We are going to deactivate everything so it's the Regular Price Mountain + Ice enabled.
Now that it is just the Regular Price Mountain and Ice it is much easier to teach and understand. As you can see there are two different colors on the mountain. The dark blue is the Mountain and the light blue is the Ice.
The Ice moves before the mountain does and when the momentum happens it is larger than it (below or above). When the momentum starts to change however, the Ice curves inside of the mountain. As you can see here, where the BUY signal (red cross) is, the Ice curves into the mountain; also where the SELL signal (red circle) is, the Ice curves into the mountain. The Ice curving into the mountain is a very important leading indication that momentum is changing and the Signals (crosses and diamonds) help solidify this momentum change.
The Index levels for YinYang Momentum is a little different than most oscillators that range from 0-100. Instead YinYang Momentum’s neutral level is 0 and it ranges from -100 to 100. For these reasons, the Viable Range for Buying is -40 to -70 and the Optimal Range for Buying is -70 to -100. For Selling, the Viable Range is 40 to 70 and the Optimal Range is 70 to 100.
If you look at the example above, you can see whenever it has been in the optimal range and the signal occurred, it may potentially be an amazing time to buy or sell. However, when it is within the Viable Range it can be hit or miss. The reason for this is because we are only looking at the Regular Price Mountain and Ice. Once we turn on the Predictive Price and Regular Volume we will have a much clearer idea as to what is noise and what is a true purchase signal. Why don’t we turn on Predictive Price Mountains and Ice so you can see what we’re talking about:
So there are 2 big things that changed when we added the predictive price mountains + ice.
We can see that where the orange circle is, is just noise, it isn’t a viable buy signal.
We can see that where the red circle is, is actually a better spot to sell than the previous marked white circle slightly to the right of it.
We will explain why both above are true, but first let's explain how we were able to deduce this information.
There are 5 rules when deciphering if the signal is a true signal or just noise.
You want the predictive mountain to be decently spaced out from the regular mountain. Refer to the example above how that should look. Remember it's predictive so with parabolic movements it will get quite spaced out. If the price went up but slowly, it generally won’t be as spaced and isn’t as strong of a signal predictor.
You want the Ice to be of a decent size and to curve in on both the Predictive and Regular Mountains. Both arrows (red and white circle arrows) are pointing to Ice that does just that. The Predictive mountain is of decent size and spaced out and the Ice curves in sharply on the Predictive, before curving in sharply on the Regular and then we get both Predictive and Regular Support Cross on the Same Bar.
When you get the Signals (Predictive and Regular) the amount of bars between them matters a lot! On the same Bar is ideal, however 1-2, max 3 bars between them is acceptable. Any more than 3 bars spacing and it's too risky of a signal because that means momentum change was happening but then stopped before picking back up. This doesn’t mean it can’t be a good signal, it just means it is much more risky and we don’t recommend it.
You don’t want Signal Clustering. You can see an example of this from the picture above. Signal Clustering is where signals are back to back over and over. During this time the momentum is in a consolidation phase and easily swaps back and forth between signals. These signals are not reliable and should not be traded on. We only want to act on clear momentum based signals.
Last but certainly not least, actually, the most important! Ensure that the Mountain + Ice for both the Predictive and Regular is at the bare minimum touching (preferably inside) the Viable Range. The Optimal range is best, but most mountains don’t make it that far. Viable Range is where you will make most of your trades from. Sometimes a great signal happens with all 5 of these rules but it is only touching the Viable Range right at 40 or -40. This CAN be okay, but is also much more risky than if it was at 50 to 60 or -50 to -60.
Based on the 5 rules mentioned, take a second and look back at the photo where we initially added the Predictive Price mountains and Ice, can you decipher why the orange circle is just noise, and can you see why the red circle is a better sell location than the white circle slightly to the right of it?
Let’s bring that photo back up now and let’s discuss this:
Let's start with the orange circle:
This orange circle, without the predictive, was hard to tell if it was a good location to buy or not, but the second we turned it on we could clearly see it was just noise.
The spacing between the Predictive mountains and the Regular is almost non-existent.
There was signal clustering shortly before this signal.
Remember, there doesn’t have to be many rules broken for a signal to be either too risky or not valid at all. The safest trades are ones where it meets the requirements of all 5 rules (6 once we talk about volume, but 5 price rules).
Now, let's discuss the red circle:
This red circle, although it could have been chosen with just the regular, was much more noticeable with the predictive added on top.
It has a perfect spacing between the Predictive and the Regular all the way to the peak.
The Ice is large and both curve in very nicely towards the mountains.
The signals are within 2 bars apart from each other.
There is no signal clustering.
The Predictive is within the Viable Range and the Regular is just touching it.
For these reasons, the red circle actually would have been where you sold and not the white circle beside it.
This pretty much covers the Price Mountains, but wait! The most important Cherry on Top to your decision making process is coming next!
We have just enabled our Regular Volume Mountains and Ice (which are the black mountains + ice). As you can see, we have circled what we call the ‘Perfect Combo’. This Perfect combo is when you have all 5 Price rules met COMBINED with a high volume mountain. The Volume Mountain and Ice act as strength. They aren’t biased towards bulls or bears, they simply show strength to whatever signal is present with it.
For example, if all 5 rules are met with Price on a Blood Diamond (Bear) Signal and there is a High Volume Mountain then this is also a ‘Perfect Combo’. That Blood Diamond signal will potentially have great strength behind it. The Viable and Optimal Ranges don’t apply to volume mountains. Any volume mountain, even close to the Viable Range, is considered to be a very high mountain. High volume is when the mountain is above 0 and low volume is when it's below 0. Any signal with low volume has less of a chance of being correct, regardless of whether it abides by all 5 price rules.
You can see here that the 5 Price rules are achieved but the volume mountain is low. It is at -25. Since the 5 Price rules are right, there is still a decent amount of accuracy to this signal and the price did plummet after, but not nearly as much as it would have if the volume mountain was high with it.
We have turned our Confirming Price Mountain on here so you can get an idea of what it looks like and how it’s used. If you refer to the Support Crosses and Blood Diamonds circled in white, you’ll see that although they both received their signals on the Predictive and Regular, neither of them received it on the Confirming. This shows that these signals lost momentum shortly after. However if you look at both the red and green circles, you’ll see that they both received their confirming signals and that it helped give those signals momentum. The Confirming Price Mountain is meant to help confirm if the momentum change is still on track and the max 3 bars from the regular signal rule still applies to it. However its height within the viable and optimal range is important, just not as relevant
Before we move on to our Information Tables we want to take a second just to discuss our Volume Mountains and Ice. We haven’t had a chance yet to discuss the Predictive or Confirming Volume. When it comes to our Volume Mountains + Ice, we don’t recommend having more than 1 on at a time. The reason we have included the Predictive and Confirming is in case you find they suit your Trading Style best, not necessarily to be used the same way the Price Mountains and Ice are. The main reason for this is due to the fact that the Volume Mountains are much smaller and when overlaid on top of each other can make a confusing blur that is hard to decipher.
In this example above we have enabled both Predictive and Regular Volume just so you can understand what we are talking about. The two together can be rather confusing and actually interfere with your decision making process. For this reason, we highly recommend finding the Volume Mountain that suits your trading style best and solely sticking to that.
Our Predictive Volume Mountains and Ice may help sense volume changes before they’ve even happened. This can be very useful if your Trading Style revolves around heavy volume changes.
Our Confirming Volume Mountains and Ice are much slower and smaller, but they help show the movement of volume that has occurred already. This can be used to help see the movement of volume without fearing it may or may not happen.
Our Information Tables are there to show you valuable information on whether it is in a state of Support Cross or Blood Diamond on 6 different Time Frames at the same time. The % it shows you displays how much of a price change has occurred since that signal has happened. It is important to note, if for instance you see it is in a state of Support Cross but the % is negative, this generally means it is going to switch to Blood Diamond soon and vice versa. Therefore if you are in a trade, especially on a lower Time Frame and you are watching the 1 Day or a higher Time Frame and notice that the % is getting less and less, it may be a good time to get out.
We will conclude our Tutorial here. If you have any Questions, Concerns, Suggestions or Comments please don’t hesitate to contact us.
Settings:
1. Show Predictive to Confirmed Trendline:
The Predictive to Confirmed Trendline is very useful for seeing when the predictive (Support Cross or Blood Diamond) has hit the confirmed (It’s a strong confirmation that the trend may be shifting). This trendline also features a Moving Average which helps give you a solid marker for when the Regular / Predictive mountains cross under or over it that a momentum swing may occur. Somewhat like when the RSI crosses above/below its Moving Average it dictates momentum change, that is likewise how to interpret when it happens with the mountains and this trendline.
2. Show Price Ice and Mountains based on:
The Price Ice and Mountains are very important when it comes to deciphering signal strength. For example, When the mountains are very low (regular and predictive) and are between the 2 red line (undervalued) or even possibly below the bottom red line, and the Ice on the mountains starts to curve into the mountains and then the Predictive and Regular Support Cross occur; this is a very strong Bullish Signal. But wait, that's not all, the cherry on top is when the volume mountain (black) is ALSO high while this occurs; the Volume Mountain adds Strength to the signal. When the volume mountain is high too during this ‘Perfect Combo’ this may potentially lead to very bullish price movement occurring soon. Here is an overview of each mountain:
2.1. Predictive: Are the least reliable, but they move first and nothing will move without the predictive moving first, and getting you ready.
2.2. Regular: Are the most accurate, they don't signify strength on its own, but they sure show some momentum.
2.3. Confirming: Are slightly behind when it comes to displaying data, and therefore shouldn't be used for entry / exit, but rather to show if the trend movement has truly been confirmed or not.
When the Ice starts to curve into the Mountain, (either upward or below) it signifies possible momentum change. There are Crosses (Bull), and Diamonds (Bear) to show when they've crossed. Cross' and Diamonds balance each other out and therefore there can never be more than 1 in a row (of the same type). When the Ice and Mountain size is very large (between 40 and 70), and the predictive Ice starts to curve into its mountain, and then the predictive curves into the Regular, and the Regular Ice is curving into its Mountain, then it may have some strong weight behind that signal. IMPORTANT: refer to Volume tooltip below for how to increase the signal strength even more.
3. Show Volume Ice and Mountains based on:
The Volume Ice and Mountains are for giving strength to the Price's signals and Size. When there is the perfect combo (described above) AND the Volume Ice + Mountain is high, then there may be a lot of strength to that Price signals (whether it is Cross (Bull), or Diamond (Bear)).
IMPORTANT: High volume mountains, unlike Price, don't mean good or bad. Volume shows strength to the Price, and therefore if there are high Volume mountains during a Diamond (Bearish), then there may be a lot of strength to that signal and vice versa.
4. Show Information Tables:
Information tables are used to display 6 different Time Frames and whether or not each time frame is in a state of Blood Diamond (red) or Support Cross (green). They also show how much % in price has changed since the current signal happened. These are very useful for seeing how the price is fairing on different Time Frames without having to constantly change your timeframe. For instance, maybe you base your entry off the 1 day time frame but then you swing trade on the 15 minute. Well, after you’ve confirmed your entry position and are sitting on the 15 minute, you can stay on the 15 minute and see how it is fairing on the 1 day, 5 minute or whatever time frame you choose. This way you aren’t distracted from the trade at hand. All of these Time Frames can be adjusted in the Settings (GUI) to whatever resolution you wish.
5. 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)
HAPPY TRADING!
