Available Oscillators and Default Values
RSI - Relative Strength Index
To reproduce the chart from above, you can download and use the SET file package um_eab_coav_1_v_2_0.zip.
The Relative Strength Index (RSI) is a momentum oscillator developed by J. Welles Wilder. It measures the speed and change of price movements, oscillating between zero and 100. Traditionally, an RSI above 70 indicates an overbought condition, suggesting a potential sell opportunity, while an RSI below 30 indicates an oversold condition, suggesting a potential buy opportunity. The RSI can also identify potential price reversals and is often used with other technical oscillators for a more comprehensive trading strategy. However, during strong trends, the RSI may remain in overbought or oversold conditions for extended periods. It's a valuable tool for traders to gauge market momentum and make informed trading decisions.
| Input | Usage | Default value |
|---|---|---|
| Selection | RSI - Relative Strength Index | |
| Parameter 1 | Period | 14 |
| Parameter 2 | RSI calculation method (0-Exponential, 1-Original) | 0 |
| Parameter 3 | - (not in use) | - |
| Parameter 4 | - (not in use) | - |
| Parameter 5 | - (not in use) | - |
| Parameter 6 | - (not in use) | - |
| Line Index | 0 - Default | |
| Note | - | |
RVI - Relative Volatility Index
To reproduce the chart from above, you can download and use the SET file package um_eab_coav_2_v_2_0.zip.
The Relative Volatility Index (RVI) is a volatility oscillator developed by Donald Dorsey. It measures the standard deviation of high and low prices over a defined range of periods. The RVI ranges from 0 to 100. When the RVI is above 50, it indicates that the volatility is to the upside, confirming a potential buy signal. Conversely, when the RVI is below 50, the volatility is to the downside, demonstrating a potential sell signal. The RVI is not meant to be used as a standalone oscillator for trading. It's most widely used in conjunction with moving average crossover signals. It does an exceptional job of measuring market strength.
| Input | Usage | Default value |
|---|---|---|
| Selection | RVI - Relative Volatility Index | |
| Parameter 1 | Period | 14 |
| Parameter 2 | - (not in use) | - |
| Parameter 3 | - (not in use) | - |
| Parameter 4 | - (not in use) | - |
| Parameter 5 | - (not in use) | - |
| Parameter 6 | - (not in use) | - |
| Line Index | 0 - Main 1 - Signal | |
| Note | - | |
ROC - Rate of Change
To reproduce the chart from above, you can download and use the SET file package um_eab_coav_3_v_2_0.zip.
The Rate of Change (ROC) is a momentum oscillator that measures the percentage change in price between the current price and the price a certain number of periods ago. The ROC oscillator is plotted against zero, with the oscillator moving upwards into positive territory if price changes are to the upside and moving into negative territory if price changes are to the downside. The oscillator can spot divergences, overbought and oversold conditions, and centerline crossovers. A rising ROC above zero typically confirms an uptrend, while a falling ROC below zero indicates a downtrend. When the price is consolidating, the ROC will hover near zero. It's a valuable tool for traders to gauge market momentum and make informed trading decisions.
| Input | Usage | Default value |
|---|---|---|
| Selection | ROC - Rate of Change | |
| Parameter 1 | Period | 14 |
| Parameter 2 | - (not in use) | - |
| Parameter 3 | - (not in use) | - |
| Parameter 4 | - (not in use) | - |
| Parameter 5 | - (not in use) | - |
| Parameter 6 | - (not in use) | - |
| Line Index | 0 - Default | |
| Note | - | |
ATR - Average True Range
To reproduce the chart from above, you can download and use the SET file package um_eab_coav_4_v_2_0.zip.
The Average True Range (ATR) is a technical analysis oscillator that measures market volatility. It was introduced by market technician J. Welles Wilder Jr. The ATR is the average of true ranges over a specified period, typically based on 14 periods. It takes into account any gaps in the price movement. The ATR does not indicate the price direction but measures volatility, especially volatility caused by price gaps or limit moves. High ATR values usually result from a sharp advance or decline and are unlikely to be sustained for extended periods. A low ATR value indicates a series of periods with small ranges. The ATR is very useful for setting stops or entry triggers, signaling changes in volatility.
| Input | Usage | Default value |
|---|---|---|
| Selection | ATR - Average True Range | |
| Parameter 1 | Period | 14 |
| Parameter 2 | - (not in use) | - |
| Parameter 3 | - (not in use) | - |
| Parameter 4 | - (not in use) | - |
| Parameter 5 | - (not in use) | - |
| Parameter 6 | - (not in use) | - |
| Line Index | 0 - Default | |
| Note | - | |
MACD - Moving Averages Convergence-Divergence
To reproduce the chart from above, you can download and use the SET file package um_eab_coav_5_v_2_0.zip.
The Moving Average Convergence-Divergence (MACD) is a trend-following momentum oscillator that shows the relationship between two exponential moving averages (EMAs) of a security's price. The MACD line is calculated by subtracting the 26-period EMA from the 12-period EMA. A nine-day EMA of the MACD line, the signal line, is then plotted on top of the MACD line. Traders may buy the security when the MACD line crosses above the signal line and sell - or short - the security when the MACD line crosses below the signal line. MACD oscillators can be interpreted in several ways, but the more common methods are crossovers, divergences, and rapid rises/falls. It's best used with daily periods, where the traditional setting of 26/12/9 days is the default.
| Input | Usage | Default value |
|---|---|---|
| Selection | MACD - Moving Averages Convergence-Divergence | |
| Parameter 1 | Fast EMA Period | 12 |
| Parameter 2 | Slow EMA Period | 26 |
| Parameter 3 | Signal SMA Period | 9 |
| Parameter 4 | - (not in use) | - |
| Parameter 5 | - (not in use) | - |
| Parameter 6 | - (not in use) | - |
| Line Index | 0 - Main 1 - Signal | |
| Note | - | |
STO - Stochastic
To reproduce the chart from above, you can download and use the SET file package um_eab_coav_6_v_2_0.zip.
The Stochastic Oscillator is a momentum oscillator that compares the last closing price with the previous trading range over a particular period. It measures momentum by comparing the closing price to the trading range over a given period. The oscillator is calculated by subtracting the low for the period from the current closing price, dividing by the total range for the period, and multiplying by 100. The Stochastic Oscillator is range-bound, always between 0 and 100. Readings over 80 are considered overbought, and under 20 are considered oversold. However, these do not always indicate impending reversal; powerful trends can maintain overbought or oversold conditions for an extended period. Instead, traders should look to changes in the Stochastic Oscillator for clues about future trend shifts.
| Input | Usage | Default value |
|---|---|---|
| Selection | STO - Stochastic | |
| Parameter 1 | K line period | 3 |
| Parameter 2 | D line period | 3 |
| Parameter 3 | Slowing | 3 |
| Parameter 4 | Average method (0-SMA, 1-EMA, 2-LWMA) | 0 |
| Parameter 5 | Price field (0-Low/High, 1-Close/Close) | 0 |
| Parameter 6 | - (not in use) | - |
| Line Index | 0 - Main 1 - Signal | |
| Note | - | |
MOM - Momentum
To reproduce the chart from above, you can download and use the SET file package um_eab_coav_7_v_2_0.zip.
The Momentum Oscillator (MOM) is a technical analysis tool that measures the rate of change in the price of a security over a specific period. The oscillator compares the current price of a security to its price at a previous point in time and calculates the difference as a percentage. The result is an oscillator that oscillates around 100. Values under 100 indicate negative momentum or decreasing price, and vice versa. If the Momentum Oscillator reaches exceptionally high or low values (relative to its historical values), you should assume a continuation of the current trend. This makes interpreting an overbought or oversold condition subjective. When the Momentum Oscillator is overbought, the security can continue increasing. When the Momentum Oscillator is oversold, the security can also continue to move lower.
| Input | Usage | Default value |
|---|---|---|
| Selection | MOM - Momentum | |
| Parameter 1 | Period | 14 |
| Parameter 2 | - (not in use) | - |
| Parameter 3 | - (not in use) | - |
| Parameter 4 | - (not in use) | - |
| Parameter 5 | - (not in use) | - |
| Parameter 6 | - (not in use) | - |
| Line Index | 0 - Default | |
| Note | Momentum line swings around 100 | |
KST - Know Sure Thing
To reproduce the chart from above, you can download and use the SET file package um_eab_coav_8_v_2_0.zip.
The Know Sure Thing (KST) is a momentum oscillator developed by Martin Pring to make rate-of-change readings easier for traders to interpret. The KST is calculated by taking the simple moving average (SMA) of four different rate-of-change (ROC) periods, adding them together to come up with the KST, and creating a signal line by taking the 9-period SMA of the KST. Trading signals are generated when the KST crosses the signal line, but traders also look for overbought or oversold conditions. Traders also combine the KST with other technical analyses to maximize their odds of a successful trade. The KST oscillator can be used like many other momentum oscillators, such as the well-known relative strength index (RSI).
| Input | Usage | Default value |
|---|---|---|
| Selection | KST - Know Sure Thing | |
| Parameter 1 | KST mode 0 - 5-Minute Bar Short-term KST 1 - 5-Minute Bar Long-term KST 2 - 10/15-Minute Bar Short-term KST 3 - 10/15-Minute Bar Long-term KST 4 - Short-term Tick KST 5 - Daily KST Simple Moving Average 6 - Long-term Monthly KST Simple Moving Average 7 - Intermediate KST Simple Moving Average 8 - Intermediate KST Exponential Moving Average 9 - Long-term KST Exponential Moving Average 10 - Short-term KST Weekly Exponential Moving Average | 0 |
| Parameter 2 | - (not in use) | - |
| Parameter 3 | - (not in use) | - |
| Parameter 4 | - (not in use) | - |
| Parameter 5 | - (not in use) | - |
| Parameter 6 | - (not in use) | - |
| Line Index | 0 - Default | |
| Note | - | |
OBV - On Balanced Volume
To reproduce the chart from above, you can download and use the SET file package um_eab_coav_9_v_2_0.zip.
The On-Balance Volume (OBV) is a technical trading momentum oscillator that uses volume flow to predict changes in stock price. It's a cumulative oscillator, meaning that when the price goes up, that day's volume is added to the cumulative OBV total. If the price decreases, that day's volume is subtracted from the OBV total. OBV works best when testing around significant highs and lows to measure for possible breakouts and breakdowns. It shows crowd sentiment that can predict a bullish or bearish outcome. Comparing relative action between price bars and OBV generates more actionable signals than the green or red volume histograms commonly found at the bottom of price charts.
| Input | Usage | Default value |
|---|---|---|
| Selection | OBV - On Balanced Volume | |
| Parameter 1 | - (not in use) | - |
| Parameter 2 | - (not in use) | - |
| Parameter 3 | - (not in use) | - |
| Parameter 4 | - (not in use) | - |
| Parameter 5 | - (not in use) | - |
| Parameter 6 | - (not in use) | - |
| Line Index | 0 - Default | |
| Note | Every tick as model and CLOSE as series recommended. Line is constantly and slowly growing. Thus, it's not a real oscillator. | |
AO - Awesome Oscillator
To reproduce the chart from above, you can download and use the SET file package um_eab_coav_10_v_2_0.zip.
The Awesome Oscillator (AO) is a market momentum oscillator developed by Bill Williams. It calculates the difference between a 34-period and a 5-period Simple Moving Average. The averages are not calculated using closing prices but rather each bar's midpoints. AO is generally used to affirm trends or to anticipate possible reversals. The values fluctuate above and below a Zero Line. When AO's values are above the Zero Line, the short-term period trends higher than the long-term period. When AO's values are below the zero line, short-term trends are lower than longer-term ones. This information can be used for a variety of signals.
| Input | Usage | Default value |
|---|---|---|
| Selection | AO - Awesome Oscillator | |
| Parameter 1 | - (not in use) | - |
| Parameter 2 | - (not in use) | - |
| Parameter 3 | - (not in use) | - |
| Parameter 4 | - (not in use) | - |
| Parameter 5 | - (not in use) | - |
| Parameter 6 | - (not in use) | - |
| Line Index | 0 - Default | |
| Note | - | |
BEP - Bears Power
To reproduce the chart from above, you can download and use the SET file package um_eab_coav_11_v_2_0.zip.
The Bears Power oscillator is a technical analysis tool developed by Alexander Elder. It measures the balance of power between buyers ('bulls') and sellers ('bears'). The oscillator is calculated as the difference between the lowest price and a 13-period exponential moving average (EMA). When the Bears Power is below zero, sellers are stronger than buyers. If the Bears Power rises above zero, buyers have gained strength. This oscillator is often used with a trend oscillator, such as a moving average. It's beneficial for estimating sellers' relative strength against buyers and signaling possible trend reversals.
| Input | Usage | Default value |
|---|---|---|
| Selection | BEP - Bears Power | |
| Parameter 1 | Period | 13 |
| Parameter 2 | - (not in use) | - |
| Parameter 3 | - (not in use) | - |
| Parameter 4 | - (not in use) | - |
| Parameter 5 | - (not in use) | - |
| Parameter 6 | - (not in use) | - |
| Line Index | 0 - Default | |
| Note | Every tick as model and CLOSE as series recommended. | |
BUP - Bulls Power
To reproduce the chart from above, you can download and use the SET file package um_eab_coav_12_v_2_0.zip.
The Bulls Power oscillator is a technical analysis tool developed by Alexander Elder. It measures the bulls' (buyers') capacity to push prices above the average value consensus. The oscillator is calculated as the difference between the highest price of the day and a 13-period exponential moving average (EMA). When Bulls Power is above zero, buyers are stronger than sellers. If Bulls Power falls below zero, it suggests that sellers have gained strength. This oscillator is often used with a trend oscillator, such as a moving average. It's beneficial for estimating buyers' relative strength against sellers and signaling possible trend reversals.
| Input | Usage | Default value |
|---|---|---|
| Selection | BUP - Bulls Power | |
| Parameter 1 | Period | 13 |
| Parameter 2 | - (not in use) | - |
| Parameter 3 | - (not in use) | - |
| Parameter 4 | - (not in use) | - |
| Parameter 5 | - (not in use) | - |
| Parameter 6 | - (not in use) | - |
| Line Index | 0 - Default | |
| Note | Every tick as model and CLOSE as series recommended. | |
CCI - Commodity Channel Index
To reproduce the chart from above, you can download and use the SET file package um_eab_coav_13_v_2_0.zip.
The Commodity Channel Index (CCI) is a momentum-based oscillator developed by Donald Lambert. It measures the difference between the current price and the historical average price. The price is above zero when the CCI is above the historical average. Conversely, the price is below the historic average when the CCI is below zero. The CCI is an unbounded oscillator that can go higher or lower indefinitely.
For this reason, overbought and oversold levels are typically determined for each asset by looking at historical extreme CCI levels where the price reversed from. The CCI can be used to identify reversals and divergences in the market. When the CCI crosses above the zero line, it is often considered a bullish signal, and when it crosses below zero, it is considered bearish.
| Input | Usage | Default value |
|---|---|---|
| Selection | CCI - Commodity Channel Index | |
| Parameter 1 | Period | 50 |
| Parameter 2 | - (not in use) | - |
| Parameter 3 | - (not in use) | - |
| Parameter 4 | - (not in use) | - |
| Parameter 5 | - (not in use) | - |
| Parameter 6 | - (not in use) | - |
| Line Index | 0 - Default | |
| Note | - | |
DEM - DeMarker
To reproduce the chart from above, you can download and use the SET file package um_eab_coav_14_v_2_0.zip.
The DeMarker (DeM) is a technical analysis tool that compares the most recent maximum and minimum prices to the previous period's equivalent price to measure the demand for the underlying asset. From this comparison, it aims to assess the directional trend of the market. It is an oscillator that predicts short-term price action based on intraday high and low changes. The DeMarker oscillator helps traders determine when to enter a market or when to buy or sell an asset to capitalize on probable imminent price trends. It was designed to be a leading oscillator because it attempts to signal an imminent change in price trend. This oscillator is often combined with other signals and is generally used to determine price exhaustion, identify market tops and bottoms, and assess risk levels.
| Input | Usage | Default value |
|---|---|---|
| Selection | DEM - DeMarker | |
| Parameter 1 | Period | 13 |
| Parameter 2 | - (not in use) | - |
| Parameter 3 | - (not in use) | - |
| Parameter 4 | - (not in use) | - |
| Parameter 5 | - (not in use) | - |
| Parameter 6 | - (not in use) | - |
| Line Index | 0 - Default | |
| Note | - | |
FOI - Force Index
To reproduce the chart from above, you can download and use the SET file package um_eab_coav_15_v_2_0.zip.
The Force Index is a technical oscillator that measures the amount of power used to move the price of an asset. It was developed by Alexander Elder and is calculated by subtracting yesterday's close from today's close and multiplying the result by today's volume. If closing prices are higher today than yesterday, the force is positive. If closing prices are lower than yesterday's, the force is opposing. The strength of the force is determined either by a larger change in price or a larger volume. The raw value of the force index is plotted as a histogram, with the centerline set to zero. A higher market will result in a positive force index devised above the centerline; a lower market points to an opposing force index below the centerline.
| Input | Usage | Default value |
|---|---|---|
| Selection | FOI - Force Index | |
| Parameter 1 | Period | 13 |
| Parameter 2 | MA Method (0-SMA, 1-EMA, 2-LWMA) | 0 |
| Parameter 3 | - (not in use) | - |
| Parameter 4 | - (not in use) | - |
| Parameter 5 | - (not in use) | - |
| Parameter 6 | - (not in use) | - |
| Line Index | 0 - Default | |
| Note | - | |
BWM - Market Facilitation Index by Bill Williams
To reproduce the chart from above, you can download and use the SET file package um_eab_coav_16_v_2_0.zip.
The Market Facilitation Index (MFI) is a volatility oscillator developed by Dr. Bill Williams. It aims to determine the willingness of the market to move the price. The MFI combines price and volume to analyze the efficiency of price movement. By calculating price movement per volume unit, the MFI can help you decide when a trend is strong enough to trade, when a new trend is forming, or when to avoid entering the market. It allows you to determine whether the market is liquid and if different types of market players are active.
| Input | Usage | Default value |
|---|---|---|
| Selection | BWM - Market Facilitation Index by Bill Williams | |
| Parameter 1 | - (not in use) | - |
| Parameter 2 | - (not in use) | - |
| Parameter 3 | - (not in use) | - |
| Parameter 4 | - (not in use) | - |
| Parameter 5 | - (not in use) | - |
| Parameter 6 | - (not in use) | - |
| Line Index | 0 - Value 1 - Color (1 = Lime, 2 = Saddle Brown, 3 = Blue, 4 = Pink) | |
| Note | Every tick as model and CLOSE as series recommended. | |
MFI - Money Flow Index
To reproduce the chart from above, you can download and use the SET file package um_eab_coav_17_v_2_0.zip.
The Money Flow Index (MFI) is a technical oscillator that uses price and volume data to identify overbought or oversold signals in an asset. It can also be used to spot divergences that warn of a trend change in price. The oscillator moves between 0 and 100. Unlike conventional oscillators such as the Relative Strength Index (RSI), the Money Flow Index incorporates both price and volume data instead of just price. For this reason, some analysts call MFI the volume-weighted RSI. An MFI reading above 80 is considered overbought, and an MFI reading below 20 is considered oversold, although levels of 90 and 10 are also used as thresholds. A divergence between the oscillator and price is noteworthy.
| Input | Usage | Default value |
|---|---|---|
| Selection | MFI - Money Flow Index | |
| Parameter 1 | Period | 14 |
| Parameter 2 | - (not in use) | - |
| Parameter 3 | - (not in use) | - |
| Parameter 4 | - (not in use) | - |
| Parameter 5 | - (not in use) | - |
| Parameter 6 | - (not in use) | - |
| Line Index | 0 - Default | |
| Note | Every tick as model and TYPICAL as series recommended. | |
RVIN - Relative Vigor Index
To reproduce the chart from above, you can download and use the SET file package um_eab_coav_18_v_2_0.zip.
The Relative Vigor Index (RVI) is a momentum oscillator that measures the strength of a trend by comparing a security's close price to its trading range. The RVI is based on the concept that prices tend to close higher than they open in uptrends and close lower than in downtrends. It's calculated by subtracting the open from the close and dividing by the total range. The RVI oscillates around a center line rather than a banded trend. Divergences between the RVI oscillator and price suggest a near-term change in the trend. In uptrends, potential buy opportunities occur when the RVI crosses above its signal line. Potential short sale opportunities arise in downtrends when the RVI crosses below its signal line.
| Input | Usage | Default value |
|---|---|---|
| Selection | RVIN - Relative Vigor Index | |
| Parameter 1 | Period | 10 |
| Parameter 2 | - (not in use) | - |
| Parameter 3 | - (not in use) | - |
| Parameter 4 | - (not in use) | - |
| Parameter 5 | - (not in use) | - |
| Parameter 6 | - (not in use) | - |
| Line Index | 0 - Main 1 - Signal | |
| Note | - | |
STD - Standard Deviation
To reproduce the chart from above, you can download and use the SET file package um_eab_coav_19_v_2_0.zip.
The Standard Deviation is a statistical measure used in trading to quantify the variation or dispersion of a set of values. It measures how much past prices deviate from the mean price in trading. A higher standard deviation means that prices are more volatile, and a lower standard deviation indicates that prices are less volatile. For example, a stock with a standard deviation of $10 has been trading between $80 and $100 over the past year, indicating more volatility than a stock with a standard deviation of $5, trading between $85 and $95 over the same period. Traders use standard deviation to measure volatility, set stop loss levels, and find trading opportunities. It's also used in several trading oscillators to calculate risk vs. return when managing risk.
| Input | Usage | Default value |
|---|---|---|
| Selection | STD - Standard Deviation | |
| Parameter 1 | Period | 10 |
| Parameter 2 | MA Method (0-SMA, 1-EMA, 2-LWMA) | 0 |
| Parameter 3 | - (not in use) | - |
| Parameter 4 | - (not in use) | - |
| Parameter 5 | - (not in use) | - |
| Parameter 6 | - (not in use) | - |
| Line Index | 0 - Default | |
| Note | - | |
WPR - Williams' Percent Range
To reproduce the chart from above, you can download and use the SET file package um_eab_coav_20_v_2_0.zip.
The Williams Percent Range (%R) is a momentum oscillator developed by Larry Williams. It moves between 0 and -100 and measures overbought and oversold levels. The %R compares a stock's closing price to the high-low range over a specific period, typically 14 days or periods. A reading above -20 is considered overbought, while a below -80 is considered oversold. However, an overbought or oversold reading doesn't necessarily mean the price will reverse. Overbought means the price is near the highs of its recent range, and oversold implies the cost is at the lower end of its current range. It can generate trade signals when the price and the oscillator move out of overbought or oversold territory.
| Input | Usage | Default value |
|---|---|---|
| Selection | WPR - Williams' Percent Range | |
| Parameter 1 | Period | 14 |
| Parameter 2 | - (not in use) | - |
| Parameter 3 | - (not in use) | - |
| Parameter 4 | - (not in use) | - |
| Parameter 5 | - (not in use) | - |
| Parameter 6 | - (not in use) | - |
| Line Index | 0 - Default | |
| Note | - | |
DOM - Price Dominance
To reproduce the chart from above, you can download and use the SET file package um_eab_coav_21_v_2_0.zip.
The Price Dominance Oscillator is a tool that measures the number of bars in the current timeframe where the current price is either the highest or lowest until a new high or low price is established. Consider a scenario where the price is increasing and reaches a local high. The oscillator will count the bars retrospectively until it encounters a local high that is higher. The process is reversed for a decreasing price, which increments the counter until a lower local low is found. The oscillator accumulates the count of these bars, and the larger or smaller the oscillator values, the more likely a significant price correction is imminent. Rapidly increasing or decreasing oscillator values suggest a higher likelihood of a price correction.
| Input | Usage | Default value |
|---|---|---|
| Selection | DOM - Price Dominance | |
| Parameter 1 | - (not in use) | - |
| Parameter 2 | - (not in use) | - |
| Parameter 3 | - (not in use) | - |
| Parameter 4 | - (not in use) | - |
| Parameter 5 | - (not in use) | - |
| Parameter 6 | - (not in use) | - |
| Line Index | 0 - Default | |
| Note | - | |
BST - Bar Strength
To reproduce the chart from above, you can download and use the SET file package um_eab_coav_22_v_2_0.zip.
The algorithm operates by comparing the open price of the current bar with its close price. If the open price is less than the close price, the algorithm increments a counter as long as the recent close price remains less than the open price. Conversely, if the open price exceeds the close price, the algorithm decrements a counter if the recent close price is more than the open price. The counter's value, whether large or small, indicates the number of bars in recent history with either a positive or negative range. Typically, a price correction occurs after an extended period of only increasing or decreasing bars. Therefore, the larger the spike in the oscillator, the higher the probability of an imminent price correction. This indicator is designed for short-term analysis of the current chart.
| Input | Usage | Default value |
|---|---|---|
| Selection | BST - Bar Strength | |
| Parameter 1 | - (not in use) | - |
| Parameter 2 | - (not in use) | - |
| Parameter 3 | - (not in use) | - |
| Parameter 4 | - (not in use) | - |
| Parameter 5 | - (not in use) | - |
| Parameter 6 | - (not in use) | - |
| Line Index | 0 - Default | |
| Note | Every tick as model and CLOSE as series required. | |
ROCC - Cumulative Rate of Change per Bar
To reproduce the chart from above, you can download and use the SET file package um_eab_coav_23_v_2_0.zip.
The algorithm functions by comparing the open price of the current bar to its close price. If the open price is lower than the close price, the algorithm computes and accumulates the rate of change per bar, continuing this process as long as the recent close price is less than the open price. On the other hand, if the open price is higher than the close price, the algorithm computes and accumulates the negative rate of change, continuing this process as long as the recent close price exceeds the open price. The oscillator value's magnitude, whether large or small, signifies the significance of the recent price change. This oscillator is beneficial for estimating short-term volatility.
| Input | Usage | Default value |
|---|---|---|
| Selection | ROCC - Cumulative Rate of Change per Bar | |
| Parameter 1 | - (not in use) | - |
| Parameter 2 | - (not in use) | - |
| Parameter 3 | - (not in use) | - |
| Parameter 4 | - (not in use) | - |
| Parameter 5 | - (not in use) | - |
| Parameter 6 | - (not in use) | - |
| Line Index | 0 - Default | |
| Note | Every tick as model and CLOSE as series required. | |
VOLUME - Volume directly from series
To reproduce the chart from above, you can download and use the SET file package um_eab_coav_24_v_2_0.zip.
The trading framework employed by the Expert Advisor Builder and Custom Expert Advisor maintains a data array with the volume information. You can choose the VOLUME oscillator to evaluate this array in the form of an average. This makes it simple to detect events, such as when the volume increases or decreases. This oscillator can process either the average of the volume or the ratio between the average and the actual volume information. Please note that volume series require a tick-based testing process to represent their values accurately.
| Input | Usage | Default value |
|---|---|---|
| Selection | VOLUME - Volume directly from series | |
| Parameter 1 | Period for generating the volume average | 14 |
| Parameter 2 | - (not in use) | - |
| Parameter 3 | - (not in use) | - |
| Parameter 4 | - (not in use) | - |
| Parameter 5 | - (not in use) | - |
| Parameter 6 | - (not in use) | - |
| Line Index | 0 - Volume 1 - Average of volume 2 - Ratio between volume and average of volume | |
| Note | Every tick as model and CLOSE as series required. | |
PPR - Price Profile
To reproduce the chart from above, you can download and use the SET file package um_eab_coav_25_v_2_0.zip.
The price profile oscillator creates a histogram, which can be optionally visualized on the price chart. This histogram segregates the prices from a specified period into equal clusters and examines the number of price points within each cluster. The oscillator provides two output values for assessing this histogram. The consolidation value line represents the relative size of the current histogram clusters compared to the larger one. Conversely, the position value line indicates the placement of the current price within a specific histogram cluster.
| Input | Usage | Default value |
|---|---|---|
| Selection | PPR - Price Profile | |
| Parameter 1 | Period | 6000 |
| Parameter 2 | Diagram granulation | 40 |
| Parameter 3 | Draw flag (0-OFF, 1-ON) | 1 |
| Parameter 4 | - (not in use) | - |
| Parameter 5 | - (not in use) | - |
| Parameter 6 | - (not in use) | - |
| Line Index | 0 - Consolidation 1 - Position | |
| Note | Every tick as model and CLOSE as series recommended. | |