Blog : Pre-defined Condition List for all Available Indicators

ADL - Accumulation/Distribution with MA

ADL (Accumulation Distribution Line): The Accumulation Distribution Line (ADL) is a volume-based indicator designed to measure underlying supply and demand. It determines whether traders are accumulating (buying) or distributing (selling) by plotting a running total of each period's Money Flow Volume. ADL can reveal divergences between volume flow and actual price, helping to either affirm a current trend or anticipate a future reversal.

ADL - Accumulation/Distribution with MA Inputs
SMA Period 20
Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
AD crossover AD MA AD crossunder AD MA AD crossunder AD MA AD crossover AD MA
Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
AD > AD MA AD < AD MA AD < AD MA AD > AD MA

ADX - Average Directional Index

ADX (Average Directional Index): The Average Directional Index (ADX) is a technical indicator used to measure the strength of a trend, regardless of its direction. It ranges from 0 to 100, with higher values indicating a stronger trend. While ADX does not indicate the trend direction, it is often used alongside the +DI and -DI (Directional Indicators) to provide a complete picture of trend direction and strength. It is commonly used to identify whether the market is trending or ranging.

ADX - Average Directional Index Inputs
ADX Threshold 25
ADX Smoothing 14
DI Length 14
Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
+DI crossover -DI and ADX > Threshold +DI crossunder -DI +DI crossunder -DI and ADX > Threshold +DI crossover -DI
Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
ADX > Threshold and +DI > -DI +DI < -DI ADX > Threshold and +DI < -DI +DI > -DI

AlphaTrend

Uses ATR and a multiplier to identify trend direction and potential buy or sell signals.

AlphaTrend Inputs
Multiplier 1.0
Common Period 14
Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
AlphaTrend Buy AlphaTrend Sell AlphaTrend Sell AlphaTrend Buy
Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
AlphaTrend Up AlphaTrend Down AlphaTrend Down AlphaTrend Up

AO - Awesome Oscillator

The Awesome Oscillator measures market momentum by calculating the difference between the 34-period and 5-period Simple Moving Averages of each bar's midpoints, rather than closing prices. It is used to confirm trends or anticipate possible reversals by plotting a line that fluctuates above and below a zero line.

AO Inputs
Fast Period 5
Slow Period 34
Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
(AO Shift Green or AO crossover 0) and AO > 0 AO crossunder 0 (AO Shift Red or AO crossunder 0) and AO < 0 AO crossover 0
Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
AO > 0 AO < 0 AO < 0 AO > 0

Aroon

The Aroon Indicator, often referred to as Aroon Up Down, measures how many periods have passed since the price recorded an n-period high or low, with "n" being a trader-defined number of periods. For example, a 14-day Aroon-Up calculates the number of days since the last 14-day high, while a 14-day Aroon-Down does the same for the 14-day low. The values range from 0 to 100, indicating the strength of a trend: the closer the value is to 100, the stronger the trend. The Aroon indicator is useful for identifying trends and periods of consolidation.

Aroon Inputs
Length 14
Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Aroon Cross Up Aroon Cross Down Aroon Cross Down Aroon Cross Up
Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Aroon Upper > Aroon Lower Aroon Lower > Aroon Upper Aroon Lower > Aroon Upper Aroon Upper > Aroon Lower

Bollinger Bands

Bollinger Bands, created by John Bollinger in the early 1980s, consist of three lines plotted in relation to security prices. The middle line is typically a 20-day Simple Moving Average (SMA), though the period can be adjusted. The upper and lower bands are set two standard deviations away from the SMA, though this can also be modified. Bollinger Bands measure volatility by observing the relationship between the bands and the price.

Bollinger Bands Inputs
Length 20
Standard Deviation 2.0
Source close
Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Price crossunder Lower Band Price crossunder Middle Band Price crossover Upper Band Price crossover Middle Band
Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Price > Middle Band Price < Middle Band Price < Middle Band Price > Middle Band

BBTrend

BBTrend is an indicator developed by John Bollinger, designed to be used alongside Bollinger Bands. It analyzes the strength and direction of the trend using two separate Bollinger Bands calculations, one long and one short. The BBTrend indicator presents the calculation as a histogram. Values above zero indicate a bullish trend, while values below zero signify a bearish trend. The distance from zero reflects the strength or momentum of the trend.

BBTrend Inputs
Short BB Length 20
Long BB Length 50
StdDev 2.0
Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
bbTrend crossover 0 bbTrend crossunder 0 bbTrend crossunder 0 bbTrend crossover 0
Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
bbTrend > 0 bbTrend < 0 bbTrend < 0 bbTrend > 0

Bullish & Bearish Engulf

Combines the bullish and bearish engulfing patterns to indicate potential reversals in either direction.

Bullish Engulfing: The Bullish Engulfing pattern is a reversal pattern typically found at the end of a downtrend and consists of two candles. The first candle has a small body, followed by a larger candle whose body fully engulfs the body of the previous candle and closes in the opposite direction of the trend. Unlike the outside reversal chart pattern, it is not necessary for this pattern to fully overtake the range (high to low), only the open and the close.

Bearish Engulfing: The Bearish Engulfing pattern is a reversal pattern typically found at the end of an uptrend and consists of two candles. The first candle has a small body, followed by a larger candle whose body fully engulfs the body of the previous candle and closes in the opposite direction of the trend. Unlike the outside reversal chart pattern, it is not necessary for this pattern to fully overtake the range (high to low), only the open and the close.

Bullish & Bearish Engulf Inputs
Paint Bullish Bars? false
Paint Bearish Bars? false
Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Bullish Engulf Bearish Engulf Bearish Engulf Bullish Engulf
Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Bullish Engulf Bearish Engulf Bearish Engulf Bullish Engulf

CCI - Commodity Channel Index

The Commodity Channel Index (CCI) is a momentum oscillator used to identify overbought and oversold levels by measuring an instrument's variations from its statistical mean. This versatile indicator is also used to find reversals and divergences. Initially designed for identifying trends in commodities, CCI is now applied to a wide range of financial instruments.

CCI Inputs
Period 20
Source hlc3
Upper Band Level 100
Lower Band Level -100
Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
CCI crossover Upper Band CCI crossunder Upper Band CCI crossunder Lower Band CCI crossover Lower Band
Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
CCI > Upper Band CCI < Upper Band CCI < Lower Band CCI > Lower Band

CMF - Chaikin Money Flow

CMF (Chaikin Money Flow): The Chaikin Money Flow indicator measures the volume-weighted average of accumulation and distribution over a specified period. It helps identify buying and selling pressure by assessing whether a security is being accumulated (bought) or distributed (sold). The indicator oscillates between positive and negative values, with positive values indicating buying pressure and negative values indicating selling pressure.

CMF Inputs
Length 20
Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
CMF crossover 0 CMF crossunder 0 CMF crossunder 0 CMF crossover 0
Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
CMF > 0 CMF < 0 CMF < 0 CMF > 0

CO - Chaikin Oscillator

CO (Chaikin Oscillator): The Chaikin Oscillator is an indicator of an indicator. It applies two Exponential Moving Averages (EMAs) of varying lengths to the Accumulation/Distribution Line (ADL). The value is derived by subtracting the longer-term EMA of the ADL from the shorter-term EMA of the ADL. This measures the momentum of the ADL, plotting a line that fluctuates between positive and negative values. Changes in momentum, indicated by the Chaikin Oscillator, can help traders anticipate trend changes, as momentum shifts often precede trend reversals.

Chaikin Oscillator Inputs
Fast Length 3
Slow Length 10
Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
CO crossover 0 CO crossunder 0 CO crossunder 0 CO crossover 0
Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
CO > 0 CO < 0 CO < 0 CO > 0

EMA

The Exponential Moving Average (EMA) is a type of moving average that emphasizes the importance of the most recent market data. It weights recent prices more heavily than older prices, making it more responsive to new information. The EMA can be compared and contrasted with the Simple Moving Average (SMA).

EMA Inputs
Period 20
Source close
Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Price crossover EMA Price crossunder EMA Price crossunder EMA Price crossover EMA
Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Price > EMA Price < EMA Price < EMA Price > EMA

Fast MA

Fast MA (Fast Moving Average): A moving average that uses a shorter time period to respond more quickly to price changes, helping to identify short-term trends and potential entry or exit points.

Fast MA Inputs
Type SMA
Period 20
Source close
Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Price crossover Fast MA Price crossunder Fast MA Price crossunder Fast MA Price crossover Fast MA
Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Price > Fast MA Price < Fast MA Price < Fast MA Price > Fast MA

Fast MA & Slow MA

Fast MA (Fast Moving Average): A moving average that uses a shorter time period to respond more quickly to price changes, helping to identify short-term trends and potential entry or exit points.

Slow MA (Slow Moving Average): A moving average that uses a longer time period to smooth out price data and identify long-term trends, reducing the impact of short-term fluctuations.

Fast MA & Slow MA Inputs
Fast MA Type SMA
Fast MA Length 20
Fast MA Source close
Slow MA Type SMA
Slow MA Length 50
Slow MA Source close
Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Fast MA crossover Slow MA Fast MA crossunder Slow MA Fast MA crossunder Slow MA Fast MA crossover Slow MA
Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Fast MA > Slow MA Fast MA < Slow MA Fast MA < Slow MA Fast MA > Slow MA

HMA

The Hull Moving Average (HMA) is a fast and smooth moving average designed to minimize lag while improving smoothing. Unlike other moving averages, such as the Simple Moving Average (SMA) and Exponential Moving Average (EMA), which emphasize more recent data, the HMA aims to completely remove lag, providing a more accurate representation of price trends.

HMA Inputs
Period 20
Source close
Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Price crossover HMA Price crossunder HMA Price crossunder HMA Price crossover HMA
Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Price > HMA Price < HMA Price < HMA Price > HMA

Ichimoku Cloud

Ichimoku Cloud: The Ichimoku Cloud is a package of multiple technical indicators that signal support, resistance, market trend, and market momentum. It combines several insights into one indicator, making it complex at first glance but widely used among professional traders and market participants.

Ichimoku Cloud Inputs
Conversion Line Length 9
Base Line Length 26
Lagging Span Length 52
Displacement 26
Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
(Price is Above Cloud) and (Cloud is Bullish) and (Conversion is above Base) and (Lagging span is above the Cloud) Projected Cloud Shifts to Bearish (Price is Below Cloud) and (Cloud is Bearish) and (Conversion is below Base) and (Lagging span is below the Cloud) Projected Cloud Shifts to Bullish
Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
(Price is Above Cloud) and (Cloud is Bullish) and (Conversion is above Base) and (Lagging span is above the Cloud) Projected Cloud is Bearish (Price is Below Cloud) and (Cloud is Bearish) and (Conversion is below Base) and (Lagging span is below the Cloud) Projected Cloud is Bullish

MACD

The MACD is a popular technical analysis indicator used to identify a security's momentum, trend direction, and duration. It combines two different types of indicators: two Moving Averages of varying lengths to identify trend direction and duration, and the difference between these Moving Averages (MACD Line) and an EMA of these averages (Signal Line). This difference is plotted as a histogram oscillating above and below a zero line, providing a good indication of a security's momentum.

MACD Inputs
Fast Length 12
Slow Length 26
Signal Smoothing 9
Source close
Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
MACD crossover Signal and MACD > 0 MACD crossunder Signal MACD crossunder Signal and MACD < 0 MACD crossover Signal
Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
MACD > Signal and MACD > 0 MACD < Signal MACD < Signal and MACD < 0 MACD > Signal

MFI - Money Flow Index

The Money Flow Index (MFI) is a technical analysis tool that measures buying and selling pressure by analyzing both price and volume. It generates a value plotted as a line within a range of 0-100, making it an oscillator. Rising MFI indicates increased buying pressure, while falling MFI indicates increased selling pressure. The MFI can signal overbought and oversold conditions, divergences, and failure swings.

MFI Inputs
Period 14
Source hlc3
Buy Threshold 20
Confirmation Threshold 50
Sell Threshold 80
Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
MFI crossover Buy Threshold MFI crossunder Buy Threshold MFI crossunder Sell Threshold MFI crossover Sell Threshold
Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
MFI > Confirmation Threshold MFI < Confirmation Threshold MFI < Confirmation Threshold MFI > Confirmation Threshold

MOM - Momentum

Momentum measures the rate of acceleration of a security's price and/or volume. It is a technical analysis indicator and oscillator used to determine market trends. While the term "momentum" can broadly refer to the speed of market movement, the Momentum indicator specifically analyzes these changes to help traders identify potential trend directions and reversals.

Momentum Inputs
Length 10
Source close
Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Momentum crossover 0 Momentum crossunder 0 Momentum crossunder 0 Momentum crossover 0
Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Momentum > 0 and Momentum > Previous Momentum Momentum < 0 and Momentum < Previous Momentum Momentum < 0 and Momentum < Previous Momentum Momentum > 0 and Momentum > Previous Momentum

OBV - On Balance Volume with MA

OBV (On Balance Volume): The On Balance Volume (OBV) indicator measures buying and selling pressure in technical analysis. It is a cumulative indicator: on days when the price rises, the day's volume is added to the OBV total; on days when the price falls, the volume is subtracted from the OBV total. The OBV value is plotted as a line for easy interpretation. OBV is primarily used to confirm or identify overall price trends or to anticipate price movements after divergences.

OBV - On Balance Volume with MA Inputs
SMA Period 20
Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
OBV crossover OBV MA OBV crossunder OBV MA OBV crossunder OBV MA OBV crossover OBV MA
Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
OBV > OBV MA OBV < OBV MA OBV < OBV MA OBV > OBV MA

OTT - Optimized Trend Tracker

OTT (Optimized Trend Tracker): Developed by An?l Ozeksi, the OTT is an indicator that helps traders identify the current trend direction. When prices are above the OTT, it indicates an uptrend, and when prices are below the OTT, it signifies a downtrend. The sensitivity of the OTT to trend movements is determined by the period/length parameter: shorter periods make the OTT more sensitive to short-term trends, while longer periods make it less sensitive. The OTT percent parameter serves as an optimization coefficient, with smaller values capturing short-term fluctuations and larger values suiting long-term trends.

OTT Inputs
OTT Period 2
OTT Percent 1.4
Source close
Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
OTT Buy OTT Sell OTT Sell OTT Buy
Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
OTT Up OTT Down OTT Down OTT Up

Pivot Point SuperTrend

PPST (Pivot Point SuperTrend): The Pivot Point SuperTrend combines pivot points and the SuperTrend indicator to identify potential support and resistance levels and trend direction. Pivot points are calculated using the previous period's high, low, and close prices, while the SuperTrend uses ATR (Average True Range) and a multiplier to determine trend direction. This combination helps traders identify entry and exit points based on trend reversals and support/resistance levels.

Pivot Point SuperTrend Inputs
Pivot Point Period 2
ATR Factor 3.0
ATR Period 10
Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Up Trend Shift (Red to Green) Down Trend Shift (Green to Red) Down Trend Shift (Green to Red) Up Trend Shift (Red to Green)
Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Up Trending (Green) Down Trending (Red) Down Trending (Red) Up Trending (Green)

PSAR - Parabolic SAR

The Parabolic SAR (Stop and Reverse) is a technical analysis tool used to identify potential stop and reverse points. It plots a parabola below the price during a bullish trend and above the price during a bearish trend, helping traders determine the direction of the trend and potential reversal points.

PSAR Inputs
Start 0.02
Increment 0.02
Maximum 0.2
Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Price crossover PSAR Price crossunder PSAR Price crossunder PSAR Price crossover PSAR
Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Price > PSAR Price < PSAR Price < PSAR Price > PSAR

Range Filter

Range Filter: The Range Filter is an experimental study designed to filter out minor price action for a clearer view of trends. Inspired by the QQE's volatility filter, it applies the process directly to price rather than to a smoothed RSI. It works by first calculating a smooth average price range and multiplying it by a specified amount. The filter then gates price movements that do not exceed this specified range.

Range Filter Inputs
Sampling Period 100
Range Multiplier 3.0
Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Range Filter Buy Condition Range Filter Sell Condition Range Filter Sell Condition Range Filter Buy Condition
Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Range Filter Up Range Filter Down Range Filter Down Range Filter Up

RSI

The Relative Strength Index (RSI) is a momentum-based oscillator that measures the speed (velocity) and change (magnitude) of directional price movements. It provides a visual means to monitor both the current and historical strength or weakness of a market, based on closing prices over a specified trading period. RSI is a reliable metric for tracking price and momentum changes and is widely used in trading cash-settled instruments and leveraged financial products.

RSI Inputs
Period 14
Source close
Oversold Level 30
Middle Level 50
Overbought Level 70
Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
RSI crossover Oversold Level RSI crossunder Overbought Level RSI crossunder Overbought Level RSI crossover Oversold Level
Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
RSI > Middle Level RSI < Middle Level RSI < Middle Level RSI > Middle Level

Slow MA

Slow MA (Slow Moving Average): A moving average that uses a longer time period to smooth out price data and identify long-term trends, reducing the impact of short-term fluctuations.

Slow MA Inputs
Type SMA
Period 50
Source close
Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Price crossover Slow MA Price crossunder Slow MA Price crossunder Slow MA Price crossover Slow MA
Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Price > Slow MA Price < Slow MA Price < Slow MA Price > Slow MA

SMA

A Moving Average (MA) is a price-based, lagging indicator that displays the average price of a security over a set period of time. It is used to gauge momentum, confirm trends, and define areas of support and resistance by smoothing out fluctuations in price and volume. As a lagging indicator, it reacts to past events and is used for confirmations and analysis rather than prediction.

SMA Inputs
Period 20
Source close
Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Price crossover SMA Price crossunder SMA Price crossunder SMA Price crossover SMA
Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Price > SMA Price < SMA Price < SMA Price > SMA

Stochastic

The Stochastic Oscillator (STOCH) is a range-bound momentum oscillator that displays the location of the close relative to the high/low range over a user-defined number of periods. It is typically used to identify overbought and oversold levels, spot divergences, and identify bullish and bearish setups or signals.

Stochastic Inputs
%K Length 14
%K Smoothing 1
%D Smoothing 3
Oversold Level 20
Middle Level 50
Overbought Level 80
Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
%K crossover %D and %K > Middle Level %K crossunder %D %K crossunder %D and %K < Middle Level %K crossover %D
Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
%K > %D and %K > Middle Level %K < %D and %K < Overbought Level %K < %D and %K < Middle Level %K > %D and %K > Oversold Level

Stochastic RSI

The Stochastic RSI (Stoch RSI) is an indicator of an indicator, applying a stochastic calculation to the RSI indicator. It measures the RSI relative to its own high/low range over a user-defined period. The Stochastic RSI is an oscillator that calculates a value between 0 and 1, plotted as a line, and is primarily used to identify overbought and oversold conditions.

Stochastic RSI Inputs
K 3
D 3
RSI Length 14
Stochastic Length 14
Oversold Level 20
Middle Level 50
Overbought Level 80
Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
%K crossover %D and %K > Middle Level %K crossunder %D %K crossunder %D and %K < Middle Level %K crossover %D
Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
%K > %D and %K > Middle Level %K < %D and %K < Overbought Level %K < %D and %K < Middle Level %K > %D and %K > Oversold Level

SuperTrend

The Supertrend is a trend-following indicator based on the Average True Range (ATR). Its single-line calculation combines trend detection and volatility, making it useful for identifying changes in trend direction and positioning stops.

SuperTrend Inputs
ATR Length 10
Factor 3.0
Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Up Trend Shift (Red to Green) Down Trend Shift (Green to Red) Down Trend Shift (Green to Red) Up Trend Shift (Red to Green)
Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Up Trending (Green) Down Trending (Red) Down Trending (Red) Up Trending (Green)

VO - Volume Oscillator

VO (Volume Oscillator) measures the difference between two moving averages of volume, indicating changes in buying and selling pressure. It helps identify potential changes in trend or market sentiment.

Volume Oscillator Inputs
Short Length 5
Long Length 10
Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
VO crossover 0 VO crossunder 0 VO crossover 0 VO crossunder 0
Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
VO > 0 VO < 0 VO > 0 VO < 0

Volume

The Volume indicator measures the amount of a financial asset traded over a specific period. For stocks, volume is measured by the number of traded shares, while for futures, it is based on the number of contracts. By analyzing volume patterns over time, traders can better understand the strength of price advances and declines in both stocks and markets.

Volume Inputs
Volume SMA Period 20
Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Volume crossover Volume SMA and close > open Volume crossunder Volume SMA Volume crossover Volume SMA and close < open Volume crossunder Volume SMA
Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Volume > Volume SMA and close > open Volume < Volume SMA and close < open Volume > Volume SMA and close < open Volume < Volume SMA and close > open

VWAP - Volume Weighted Average Price

VWAP (Volume-Weighted Average Price): The average price of a security, weighted by volume, showing the average trading price throughout the trading session. It provides insight into the true average price paid by investors and is used to identify trading trends.

VWAP Inputs
Anchor Daily
Source hlc3
Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Price crossover VWAP Price crossunder VWAP Price crossunder VWAP Price crossover VWAP
Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Price > VWAP Price < VWAP Price < VWAP Price > VWAP

VWMA - Volume Weighted Moving Average

The Volume-Weighted Moving Average (VWMA) is used for analyzing volume by tracking price-volume and identifying trends. It is similar to the Simple Moving Average (SMA) and the Volume Weighted Average Price (VWAP), but incorporates volume data to provide a weighted average over any period of time, making it useful for identifying trends and weighted volume.

VWMA Inputs
Period 20
Source close
Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Price crossover VWMA Price crossunder VWMA Price crossunder VWMA Price crossover VWMA
Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Price > VWMA Price < VWMA Price < VWMA Price > VWMA

WaveTrend

Uses channel lengths and averages to indicate overbought or oversold conditions.

WaveTrend Inputs
Channel Length 10
Average Length 21
Oversold Level -53
Middle Level 0
Overbought Level 53
Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
WT1 crossover WT2 and WT2 < Oversold Level WT1 crossunder WT2 WT1 crossunder WT2 and WT2 > Overbought Level WT1 crossover WT2
Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
WT1 > WT2 WT1 < WT2 WT1 < WT2 WT1 > WT2

Williams %R - Williams Percent Range

Williams %R is a momentum-based oscillator used to identify overbought and oversold conditions. It compares the current close to the highest high over a user-defined look-back period. The %R oscillates between 0 and -100, with readings closer to 0 indicating overbought conditions and readings closer to -100 indicating oversold conditions. It is typically used to generate setups based on these conditions and overall changes in momentum.

Williams %R Inputs
Length 14
Source close
Oversold Level -80
Middle Level -50
Overbought Level -20
Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
%R crossover Oversold Level %R crossunder Overbought Level %R crossunder Overbought Level %R crossover Oversold Level
Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
%R > Middle Level and < Overbought Level %R < Middle Level %R < Middle Level and > Oversold Level %R > Middle Level

Williams Alligator

Williams Alligator: The Williams Alligator is a trend-following indicator that uses smoothed Moving Averages to analyze market trends. It is based on the idea that financial markets and individual securities trend less frequently than they move sideways. Developed with the understanding that both institutions and individuals generally profit more when a market is trending strongly, the Williams Alligator helps identify such trends.

Williams Alligator Inputs
Jaw Length 13
Teeth Length 8
Lips Length 5
Jaw Offset 8
Teeth Offset 5
Lips Offset 3
Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
lips crossover teeth and lips crossover jaw lips crossunder teeth or lips crossunder jaw lips crossunder teeth and lips crossunder jaw lips crossover teeth or lips crossover jaw
Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
lips > teeth and lips > jaw lips < teeth or lips < jaw lips < teeth and lips < jaw lips > teeth or lips > jaw

WMA - Weighted Moving Average

Weighted Moving Averages (WMA) expand upon traditional Moving Averages and Exponential Moving Averages by assigning more weight to the most recent price data. This allows specific time periods to be weighted more heavily in the calculation, making WMA more responsive to recent price changes.

WMA Inputs
Period 20
Source close
Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Price crossover WMA Price crossunder WMA Price crossunder WMA Price crossover WMA
Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Price > WMA Price < WMA Price < WMA Price > WMA

ZLEMA - Zero Lag Exponential Moving Average

A moving average that aims to eliminate lag by accounting for price momentum.

ZLEMA Inputs
Period 14
Source close
Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Price crossover ZLEMA Price crossunder ZLEMA Price crossunder ZLEMA Price crossover ZLEMA
Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Price > ZLEMA Price < ZLEMA Price < ZLEMA Price > ZLEMA