Blog : Pre-defined Condition List for all Available Indicators

AlphaTrend

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

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

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
Trend Following Mean Reversion
Fast Period 5 Fast Period 5
Slow Period 34 Slow Period 34
AO Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Trend Following (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
Mean Reversion AO Shift Green and AO < 0 AO crossover 0 AO Shift Red and AO > 0 AO crossunder 0
AO Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Trend Following AO is Up and AO > 0 AO < 0 AO is Down and AO < 0 AO > 0
Mean Reversion AO is Up and AO < 0 AO > 0 AO is Down and 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
Trend Following Mean Reversion
Length 14 Length 14
Aroon Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Trend Following Aroon Cross Up Aroon Cross Down Aroon Cross Down Aroon Cross Up
Mean Reversion Aroon Upper < 30 and Aroon Upper> Previous Aroon Upper Aroon Upper > 70 and Aroon Upper < Previous Aroon Upper Aroon Lower < 30 and Aroon Lower> Previous Aroon Lower Aroon Lower > 70 and Aroon Lower < Previous Aroon Lower
Aroon Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Trend Following Aroon Upper > Aroon Lower Aroon Lower > Aroon Upper Aroon Lower > Aroon Upper Aroon Upper > Aroon Lower
Mean Reversion Aroon Upper < 30 and Aroon Upper> Previous Aroon Upper Aroon Upper > 70 and Aroon Upper < Previous Aroon Upper Aroon Lower < 30 and Aroon Lower> Previous Aroon Lower Aroon Lower > 70 and Aroon Lower < Previous 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
Trend Following Mean Reversion
Length 20 Length 20
Standard Deviation 2.0 Standard Deviation 2.0
Source close Source close
Bollinger Bands Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Trend Following Price crossover Upper Band Price crossunder Middle Band Price crossunder Lower Band Price crossover Middle Band
Mean Reversion Price crossunder Lower Band Price crossover Middle Band Price crossover Upper Band Price crossunder Middle Band
Bollinger Bands Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Trend Following Price > Upper Band Price < Middle Band Price < Lower Band Price > Middle Band
Mean Reversion Price < Lower Band Price > Middle Band Price > Upper Band Price < Middle Band

Bearish Engulf

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.

Bearish Engulf Inputs
Trend Following Mean Reversion
Paint Bars? false Paint Bars? false
Bearish Engulf Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Trend Following - Bearish Engulf Bearish Engulf Bearish Engulf
Mean Reversion - Bearish Engulf Bearish Engulf Bearish Engulf
Bearish Engulf Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Trend Following - Bearish Engulf Bearish Engulf Bearish Engulf
Mean Reversion - Bearish Engulf Bearish Engulf Bearish Engulf

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
Trend Following Mean Reversion
Paint Bullish Bars? false Paint Bullish Bars? false
Paint Bearish Bars? false Paint Bearish Bars? false
Bullish & Bearish Engulf Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Trend Following Bullish Engulf Bearish Engulf Bearish Engulf Bullish Engulf
Mean Reversion Bearish Engulf Bullish Engulf Bullish Engulf Bearish Engulf
Bullish & Bearish Engulf Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Trend Following Bullish Engulf Bearish Engulf Bearish Engulf Bullish Engulf
Mean Reversion Bearish Engulf Bullish Engulf Bullish Engulf Bearish Engulf

Bullish Engulf

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.

Bullish Engulf Inputs
Trend Following Mean Reversion
Paint Bars? false Paint Bars? false
Bullish Engulf Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Trend Following Bullish Engulf Bullish Engulf - Bullish Engulf
Mean Reversion Bullish Engulf Bullish Engulf - Bullish Engulf
Bullish Engulf Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Trend Following Bullish Engulf Bullish Engulf - Bullish Engulf
Mean Reversion Bullish Engulf Bullish 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
Trend Following Mean Reversion
Period 20 Period 20
Source hlc3 Source hlc3
Upper Band Level 100 Upper Band Level 100
Middle Band Level 0 Middle Band Level 0
Lower Band Level -100 Lower Band Level -100
CCI Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Trend Following CCI crossover Upper Band CCI crossunder Upper Band CCI crossunder Lower Band CCI crossover Lower Band
Mean Reversion CCI crossover Lower Band CCI crossover Middle Band CCI crossunder Upper Band CCI crossunder Middle Band
CCI Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Trend Following CCI > Upper Band CCI < Upper Band CCI < Lower Band CCI > Lower Band
Mean Reversion CCI > Lower Band and CCI < Middle Band CCI > Middle Band CCI < Upper Band and CCI> Middle Band CCI < Middle 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.

Inputs
Trend Following Mean Reversion
Length 20 Length 20
CMF Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Trend Following CMF crossover 0 CMF crossunder 0 CMF crossunder 0 CMF crossover 0
Mean Reversion CMF crossunder 0 CMF crossover 0 CMF crossover 0 CMF crossunder 0
CMF Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Trend Following CMF > 0 CMF < 0 CMF < 0 CMF > 0
Mean Reversion 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.

Inputs
Trend Following Mean Reversion
Fast Length 3 Fast Length 3
Slow Length 10 Slow Length 10
CO Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Trend Following CO crossover 0 CO crossunder 0 CO crossunder 0 CO crossover 0
Mean Reversion CO crossunder 0 CO crossover 0 CO crossover 0 CO crossunder 0
CO Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Trend Following CO > 0 CO < 0 CO < 0 CO > 0
Mean Reversion 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
Trend Following Mean Reversion
Period 20 Period 20
Source close Source close
EMA Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Trend Following Price crossover EMA Price crossunder EMA Price crossunder EMA Price crossover EMA
Mean Reversion Price crossunder EMA Price crossover EMA Price crossover EMA Price crossunder EMA
EMA Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Trend Following Price > EMA Price < EMA Price < EMA Price > EMA
Mean Reversion 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
Trend Following Mean Reversion
Type SMA Type SMA
Period 20 Period 20
Source close Source close
Fast MA Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Trend Following Price crossover Fast MA Price crossunder Fast MA Price crossunder Fast MA Price crossover Fast MA
Mean Reversion Price crossunder Fast MA Price crossover Fast MA Price crossover Fast MA Price crossunder Fast MA
Fast MA Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Trend Following Price > Fast MA Price < Fast MA Price < Fast MA Price > Fast MA
Mean Reversion 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
Trend Following Mean Reversion
Fast MA Type SMA Fast MA Type SMA
Fast MA Length 20 Fast MA Length 20
Fast MA Source close Fast MA Source close
Slow MA Type SMA Slow MA Type SMA
Slow MA Length 50 Slow MA Length 50
Slow MA Source close Slow MA Source close
Fast MA & Slow MA Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Trend Following Fast MA crossover Slow MA Fast MA crossunder Slow MA Fast MA crossunder Slow MA Fast MA crossover Slow MA
Mean Reversion Fast MA crossunder Slow MA Fast MA crossover Slow MA Fast MA crossover Slow MA Fast MA crossunder Slow MA
Fast MA & Slow MA Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Trend Following Fast MA > Slow MA Fast MA < Slow MA Fast MA < Slow MA Fast MA > Slow MA
Mean Reversion 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
Trend Following Mean Reversion
Period 20 Period 20
Source close Source close
HMA Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Trend Following Price crossover HMA Price crossunder HMA Price crossunder HMA Price crossover HMA
Mean Reversion Price crossunder HMA Price crossover HMA Price crossover HMA Price crossunder HMA
HMA Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Trend Following Price > HMA Price < HMA Price < HMA Price > HMA
Mean Reversion Price < HMA Price > HMA Price > HMA Price < HMA

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

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
Trend Following Mean Reversion
Period 14 Period 14
Source hlc3 Source hlc3
Buy Threshold 20 Buy Threshold 20
Sell Threshold 80 Sell Threshold 80
MFI Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Trend Following MFI crossover Buy Threshold MFI crossunder Buy Threshold MFI crossunder Sell Threshold MFI crossover Sell Threshold
Mean Reversion MFI crossunder Buy Threshold MFI crossover Sell Threshold MFI crossover Sell Threshold MFI crossunder Buy Threshold
MFI Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Trend Following MFI >= Buy Threshold MFI <= Buy Threshold MFI <= Sell Threshold MFI >= Sell Threshold
Mean Reversion MFI <= Buy Threshold MFI >= Sell Threshold MFI >= Sell Threshold MFI <= Buy 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
Trend Following Mean Reversion
Length 10 Length 10
Source close Source close
MOM Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Trend Following Momentum > 0 and Momentum > Previous Momentum Momentum crossunder 0 and Momentum < Previous Momentum Momentum < 0 and Momentum < Previous Momentum Momentum crossover 0 and Momentum > Previous Momentum
Mean Reversion Momentum < 0 and Momentum> Previous Momentum Momentum crossover 0 Momentum > 0 and Momentum < Previous Momentum Momentum crossunder 0
MOM Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Trend Following Momentum > 0 and Momentum > Previous Momentum Momentum < 0 and Momentum < Previous Momentum Momentum < 0 and Momentum < Previous Momentum Momentum > 0 and Momentum > Previous Momentum
Mean Reversion Momentum < 0 and Momentum> Previous Momentum Momentum > 0 Momentum > 0 and Momentum < Previous Momentum Momentum < 0

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

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
Trend Following Mean Reversion
Start 0.02 Start 0.02
Increment 0.02 Increment 0.02
Maximum 0.2 Maximum 0.2
PSAR Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Trend Following Price crossover PSAR Price crossunder PSAR Price crossunder PSAR Price crossover PSAR
Mean Reversion Price crossunder PSAR Price crossover PSAR Price crossover PSAR Price crossunder PSAR
PSAR Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Trend Following Price > PSAR Price < PSAR Price < PSAR Price > PSAR
Mean Reversion Price < PSAR Price > PSAR Price > PSAR Price < PSAR

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
Trend Following Mean Reversion
Period 14 Period 14
Source close Source close
Middle Level 50 Oversold Level 30
Overbought Level 70
RSI Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Trend Following RSI crossover Middle Level RSI crossunder Middle Level RSI crossunder Middle Level RSI crossover Middle Level
Mean Reversion RSI crossunder Oversold Level RSI crossover Overbought Level RSI crossover Overbought Level RSI crossunder Oversold Level
RSI Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Trend Following RSI > Middle Level RSI < Middle Level RSI < Middle Level RSI > Middle Level
Mean Reversion RSI < Oversold Level RSI > Overbought Level RSI > Overbought Level RSI < Oversold 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
Trend Following Mean Reversion
Type SMA Type SMA
Period 50 Period 50
Source close Source close
Slow MA Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Trend Following Price crossover Slow MA Price crossunder Slow MA Price crossunder Slow MA Price crossover Slow MA
Mean Reversion Price crossunder Slow MA Price crossover Slow MA Price crossover Slow MA Price crossunder Slow MA
Slow MA Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Trend Following Price > Slow MA Price < Slow MA Price < Slow MA Price > Slow MA
Mean Reversion 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
Trend Following Mean Reversion
Period 20 Period 20
Source close Source close
SMA Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Trend Following Price crossover SMA Price crossunder SMA Price crossunder SMA Price crossover SMA
Mean Reversion Price crossunder SMA Price crossover SMA Price crossover SMA Price crossunder SMA
SMA Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Trend Following Price > SMA Price < SMA Price < SMA Price > SMA
Mean Reversion 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
Trend Following Mean Reversion
%K Length 14 %K Length 14
%K Smoothing 1 %K Smoothing 1
%D Smoothing 3 %D Smoothing 3
Oversold Level 20 Oversold Level 20
Middle Level 50 Overbought Level 80
Overbought Level 80
Stochastic Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Trend Following %K crossover %D and %K > Middle Level %K crossunder %D and %K < Overbought Level %K crossunder %D and %K < Middle Level %K crossover %D and %K > Oversold Level
Mean Reversion %K crossover %D and %K < Oversold Level %K crossover Overbought Level %K crossunder %D and %K > Overbought Level %K crossunder Oversold Level
Stochastic Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Trend Following %K > %D and %K > Middle Level %K < %D and %K < Overbought Level %K < %D and %K < Middle Level %K > %D and %K > Oversold Level
Mean Reversion %K < %D and %K < Oversold Level %K > Overbought Level %K > %D and %K > Overbought Level %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
Trend Following Mean Reversion
K 3 K 3
D 3 D 3
RSI Length 14 RSI Length 14
Stochastic Length 14 Stochastic Length 14
Oversold Level 20 Oversold Level 20
Middle Level 50 Overbought Level 80
Overbought Level 80
Stochastic RSI Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Trend Following %K crossover %D and %K > Middle Level %K crossunder %D and %K < Overbought Level %K crossunder %D and %K < Middle Level %K crossover %D and %K > Oversold Level
Mean Reversion %K crossover %D and %K < Oversold Level %K crossover Overbought Level %K crossunder %D and %K > Overbought Level %K crossunder Oversold Level
Stochastic RSI Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Trend Following %K > %D and %K > Middle Level %K < %D and %K < Overbought Level %K < %D and %K < Middle Level %K > %D and %K > Oversold Level
Mean Reversion %K < %D and %K < Oversold Level %K > Overbought Level %K > %D and %K > Overbought Level %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
Trend Following Mean Reversion
ATR Length 10 ATR Length 10
Factor 3.0 Factor 3.0
SuperTrend Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Trend Following Up Trend Shift (Red to Green) Down Trend Shift (Green to Red) Down Trend Shift (Green to Red) Up Trend Shift (Red to Green)
Mean Reversion Down Trend Shift (Green to Red) Up Trend Shift (Red to Green) Up Trend Shift (Red to Green) Down Trend Shift (Green to Red)
SuperTrend Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Trend Following Up Trending (Green) Down Trending (Red) Down Trending (Red) Up Trending (Green)
Mean Reversion Down Trending (Red) Up Trending (Green) Up Trending (Green) Down Trending (Red)

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.

Inputs
Trend Following Mean Reversion
Short Length 5 Short Length 5
Long Length 10 Long Length 10
VO Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Trend Following VO crossover 0 VO crossunder 0 VO crossover 0 VO crossunder 0
Mean Reversion VO crossover 0 VO crossunder 0 VO crossover 0 VO crossunder 0
VO Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Trend Following VO > 0 VO < 0 VO > 0 VO < 0
Mean Reversion 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
Trend Following Mean Reversion
Volume SMA Period 20 Volume SMA Period 20
Volume Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Trend Following Volume crossover Volume SMA Volume crossunder Volume SMA Volume crossover Volume SMA Volume crossunder Volume SMA
Mean Reversion Volume crossover Volume SMA Volume crossunder Volume SMA Volume crossover Volume SMA Volume crossunder Volume SMA
Volume Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Trend Following Volume > Volume SMA Volume < Volume SMA Volume > Volume SMA Volume < Volume SMA
Mean Reversion Volume > Volume SMA Volume < Volume SMA Volume > Volume SMA Volume < Volume SMA

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.

Inputs
Trend Following Mean Reversion
Anchor Daily Anchor Daily
Source hlc3 Source hlc3
VWAP Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Trend Following Price crossover VWAP Price crossunder VWAP Price crossunder VWAP Price crossover VWAP
Mean Reversion Price crossunder VWAP Price crossover VWAP Price crossover VWAP Price crossunder VWAP
VWAP Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Trend Following Price > VWAP Price < VWAP Price < VWAP Price > VWAP
Mean Reversion 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
Trend Following Mean Reversion
Period 20 Period 20
Source close Source close
VWMA Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Trend Following Price crossover VWMA Price crossunder VWMA Price crossunder VWMA Price crossover VWMA
Mean Reversion Price crossunder VWMA Price crossover VWMA Price crossover VWMA Price crossunder VWMA
VWMA Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Trend Following Price > VWMA Price < VWMA Price < VWMA Price > VWMA
Mean Reversion Price < VWMA Price > VWMA Price > VWMA Price < VWMA

WaveTrend

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

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

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

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
Trend Following Mean Reversion
Period 20 Period 20
Source close Source close
WMA Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Trend Following Price crossover WMA Price crossunder WMA Price crossunder WMA Price crossover WMA
Mean Reversion Price crossunder WMA Price crossover WMA Price crossover WMA Price crossunder WMA
WMA Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Trend Following Price > WMA Price < WMA Price < WMA Price > WMA
Mean Reversion 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
Trend Following Mean Reversion
Period 14 Period 14
Source close Source close
ZLEMA Long - Entry Trigger Long - Exit Trigger Short - Entry Trigger Short - Exit Trigger
Trend Following Price crossover ZLEMA Price crossunder ZLEMA Price crossunder ZLEMA Price crossover ZLEMA
Mean Reversion Price crossunder ZLEMA Price crossover ZLEMA Price crossover ZLEMA Price crossunder ZLEMA
ZLEMA Long - Entry Confluence Long - Exit Confluence Short - Entry Confluence Short - Exit Confluence
Trend Following Price > ZLEMA Price < ZLEMA Price < ZLEMA Price > ZLEMA
Mean Reversion Price < ZLEMA Price > ZLEMA Price > ZLEMA Price < ZLEMA