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 | |||
|---|---|---|---|
| Trend Following | Mean Reversion | ||
| SMA Period | 20 | SMA Period | 20 |
| ADL - Accumulation/Distribution with MA | Long - Entry Trigger | Long - Exit Trigger | Short - Entry Trigger | Short - Exit Trigger |
|---|---|---|---|---|
| Trend Following | AD Value crossover AD MA Value | AD Value crossunder AD MA Value | AD Value crossunder AD MA Value | AD Value crossover AD MA Value |
| Mean Reversion | AD Value crossunder AD MA Value | AD Value crossover AD MA Value | AD Value crossover AD MA Value | AD Value crossunder AD MA Value |
| ADL - Accumulation/Distribution with MA | Long - Entry Confluence | Long - Exit Confluence | Short - Entry Confluence | Short - Exit Confluence |
| Trend Following | AD Value > AD MA Value | AD Value < AD MA Value | AD Value < AD MA Value | AD Value > AD MA Value |
| Mean Reversion | AD Value < AD MA Value | AD Value > AD MA Value | AD Value > AD MA Value | AD Value < AD MA Value |
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 |
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 | |||
|---|---|---|---|
| Trend Following | Mean Reversion | ||
| Short BB Length | 20 | Short BB Length | 20 |
| Long BB Length | 50 | Long BB Length | 50 |
| StdDev | 2.0 | StdDev | 2.0 |
| BBTrend | Long - Entry Trigger | Long - Exit Trigger | Short - Entry Trigger | Short - Exit Trigger |
|---|---|---|---|---|
| Trend Following | bbTrend crossover 0 | bbTrend crossunder 0 | bbTrend crossunder 0 | bbTrend crossover 0 |
| Mean Reversion | bbTrend crossunder 0 | bbTrend crossover 0 | bbTrend crossover 0 | bbTrend crossunder 0 |
| BBTrend | Long - Entry Confluence | Long - Exit Confluence | Short - Entry Confluence | Short - Exit Confluence |
| Trend Following | bbTrend > 0 | bbTrend < 0 | bbTrend < 0 | bbTrend > 0 |
| Mean Reversion | 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 | |||
|---|---|---|---|
| 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 |
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 |
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 | |||
|---|---|---|---|
| Trend Following | Mean Reversion | ||
| Conversion Line Length | 9 | Conversion Line Length | 9 |
| Base Line Length | 26 | Base Line Length | 26 |
| Lagging Span Length | 52 | Lagging Span Length | 52 |
| Displacement | 26 | Displacement | 26 |
| Ichimoku Cloud | Long - Entry Trigger | Long - Exit Trigger | Short - Entry Trigger | Short - Exit Trigger |
|---|---|---|---|---|
| Trend Following | (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 |
| Mean Reversion | (Price is below Base) and (Lagging span is above the Cloud) and (Conversion crossover Base) | (Price crossover Base) | (Price is above Base) and (Lagging span is below the Cloud) and (Conversion crossunder Base) | Price crossunder Base |
| Ichimoku Cloud | Long - Entry Confluence | Long - Exit Confluence | Short - Entry Confluence | Short - Exit Confluence |
| Trend Following | (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 |
| Mean Reversion | (Price is below Base) and (Lagging span is above the Cloud) and (Conversion is above Base) | Price is above Base | (Price is above Base) and (Lagging span is below the Cloud) and (Conversion is below Base) | Price is below Base |
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 |
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 | |||
|---|---|---|---|
| Trend Following | Mean Reversion | ||
| SMA Period | 20 | SMA Period | 20 |
| OBV - On Balance Volume with MA | Long - Entry Trigger | Long - Exit Trigger | Short - Entry Trigger | Short - Exit Trigger |
|---|---|---|---|---|
| Trend Following | OBV Value crossover OBV MA Value | OBV Value crossunder OBV MA Value | OBV Value crossunder OBV MA Value | OBV Value crossover OBV MA Value |
| Mean Reversion | OBV Value crossunder OBV MA Value | OBV Value crossover OBV MA Value | OBV Value crossover OBV MA Value | OBV Value crossunder OBV MA Value |
| OBV - On Balance Volume with MA | Long - Entry Confluence | Long - Exit Confluence | Short - Entry Confluence | Short - Exit Confluence |
| Trend Following | OBV Value > OBV MA Value | OBV Value < OBV MA Value | OBV Value < OBV MA Value | OBV Value > OBV MA Value |
| Mean Reversion | OBV Value < OBV MA Value | OBV Value > OBV MA Value | OBV Value > OBV MA Value | OBV Value < OBV MA Value |
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 | |||
|---|---|---|---|
| Trend Following | Mean Reversion | ||
| OTT Period | 2 | OTT Period | 2 |
| OTT Percent | 1.4 | OTT Percent | 1.4 |
| Source | close | Source | close |
| OTT | Long - Entry Trigger | Long - Exit Trigger | Short - Entry Trigger | Short - Exit Trigger |
|---|---|---|---|---|
| Trend Following | OTT Buy | OTT Sell | OTT Sell | OTT Buy |
| Mean Reversion | OTT Sell | OTT Buy | OTT Buy | OTT Sell |
| OTT | Long - Entry Confluence | Long - Exit Confluence | Short - Entry Confluence | Short - Exit Confluence |
| Trend Following | OTT Up | OTT Down | OTT Down | OTT Up |
| Mean Reversion | OTT Down | OTT Up | OTT Up | OTT Down |
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 |
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 | |||
|---|---|---|---|
| Trend Following | Mean Reversion | ||
| Sampling Period | 100 | Sampling Period | 100 |
| Range Multiplier | 3.0 | Range Multiplier | 3.0 |
| Range Filter | Long - Entry Trigger | Long - Exit Trigger | Short - Entry Trigger | Short - Exit Trigger |
|---|---|---|---|---|
| Trend Following | Range Filter Buy Condition | Range Filter Sell Condition | Range Filter Sell Condition | Range Filter Buy Condition |
| Mean Reversion | Range Filter Sell Condition | Range Filter Buy Condition | Range Filter Buy Condition | Range Filter Sell Condition |
| Range Filter | Long - Entry Confluence | Long - Exit Confluence | Short - Entry Confluence | Short - Exit Confluence |
| Trend Following | Range Filter Up | Range Filter Down | Range Filter Down | Range Filter Up |
| Mean Reversion | Range Filter Down | Range Filter Up | Range Filter Up | Range Filter Down |
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 |
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 | |||
|---|---|---|---|
| Trend Following | Mean Reversion | ||
| Jaw Length | 13 | Jaw Length | 13 |
| Teeth Length | 8 | Teeth Length | 8 |
| Lips Length | 5 | Lips Length | 5 |
| Jaw Offset | 8 | Jaw Offset | 8 |
| Teeth Offset | 5 | Teeth Offset | 5 |
| Lips Offset | 3 | Lips Offset | 3 |
| Williams Alligator | Long - Entry Trigger | Long - Exit Trigger | Short - Entry Trigger | Short - Exit Trigger |
|---|---|---|---|---|
| Trend Following | 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 |
| Mean Reversion | lips crossunder teeth and lips crossunder jaw | lips crossover teeth or lips crossover jaw | lips crossover teeth and lips crossover jaw | lips crossunder teeth or lips crossunder jaw |
| Williams Alligator | Long - Entry Confluence | Long - Exit Confluence | Short - Entry Confluence | Short - Exit Confluence |
| Trend Following | lips > teeth and lips > jaw | lips < teeth or lips < jaw | lips < teeth and lips < jaw | lips > teeth or lips > jaw |
| Mean Reversion | 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 | |||
|---|---|---|---|
| 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 |