| ADX-B ADX +30
Breakout |
ADX is defined in Welles Wilder´s book, "New Concepts in Technical Trading System." ADX stands for Average Directional Movement, and attempts to determine trend by looking for the ADX indicator to move above a specific level , which is typically +30. The system is defined so that the trending level can be optimized. |
| BND-C Trading
Band Crossover |
Trading band is based on an Exponential Moving Average. (Defined in MV2-C) Draws a P- period EMA of closing prices, then an exact copy of the EMA shifted S% above and below the EMA. |
| BOL-C Bollinger
Band Crossover |
Trading band constructed based on Volatility of price. Standard deviation of price is used as the measure of volatility. |
BOL-T Bollinger
Band with ADX
Trend |
ADX is used to detect a retracement from the trend, and Bollinger Bands are used to establish entry and exit points after the retracement is detected using ADX. |
| CCI-C
+100/-100 Crossover |
This is a classic interpretation of CCI. Crossings from above +100 to the downside constitute a short, and crossings from below -100 to the upside constitute a long. The period used for CCI and crossover levels can be optimized. |
CCI-D
Commodity Channel
Index Divergence |
Draws CCI indicator (see CCI-P), then the Divergence indicator pivot point is used to isolate. |
CCI-FP Commodity Channel
Index Fibonnaci Peaks |
Plot 8, 13, and 21- Period oscillators on top of one another. Confirms the existence of peaks (or valleys) conforming to cycles in all three time frames. |
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CCI-P Commodity
Channel
Index Peaks |
Indicator that measures overbought vs. oversold levels by virtue of
today's price distance from the statistical mean price. |
| CHA-D Chaikin
Level Divergence |
Draw the Chaikin Oscillator (see CHA-P). The divergence pivot point method is used to identify divergence from a prior pivot point of the oscillator. |
| CHA-P Chaikin
Level Peaks |
The Chaikin Oscillator rises when prices advance on higher volume, and goes negative on price declines on high volume. A reversal in the indicator indicates that the current trend in accumulation or distribution could be reversing. |
| CN-BH Candle Pattern: Belt Hold |
Pattern formed by a range which extends in the direction of the close. A Bearish Belt Hold exists when the High equals the Open and the Low is below the close. Similarly for the Bullish Belt Hold. |
CN-CA Candle Pattern:
Counter Attack |
Occurs when the market reverses direction violently to arrive at the same valuation as a prior period.
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| CN-DS Candle Pattern: Doji
Star |
Occurs when the closing price equals the open. |
CN-EL Candle Pattern:
Engulfing
Line |
Occurs when today's range encloses or "engulfs"´ the prior
day's range, thereby indicating great market strength in the direction of
today's close. |
| CN-HAM Candle Pattern: Harami |
Just the opposite of an engulfing line;
yesterday's body engulfs today's, with opposite color for the two. |
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CN-HMR Candle Pattern:
Hammer/Hanging Man
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&The Hammer pattern is formed by a short body at the top of a long tail. They indicate indecision in the direction of the trend. A solid hammer which occurs at the end of an uptrend is called a Hanging Man. This type of Hammer indicates the
market's propensity to sell off sharply. |
CN-IHM Candle Pattern:
Inverted
Hammer |
Just the opposite of Hammers; a small body occurs at the bottom of a long tail. |
CN-MES Candle Pattern: Morning/
Evening Star |
A Morning Star is formed when a small body is located between two other bodies so that it appears below (or above) the other two. An Evening Star generates a sell signal when a small body is located above two surrounding candles. |
CN-PL Candle
Pattern: Piercing
Line/Dark Cloud |
Occurs when today's candle ``pierces'´´ the range of the prior day, in the opposite direction. The Bearish case is also called a Dark Cloud Cover. |
| DMI-C +DI/-DI
Crossover |
Directional Movement comprises ADX, and has two components, +DI to measure movement to the upside, and -DI, for the opposite. When these two lines cross each other, the market is typically moving from one trend direction to the other. The period for DMI is optimizable. |
| GAP-B Gap Breakout |
This system issues a long signal when price gaps up by a certain percentage or multiple of ATR (average true range). Similarly, it issues a short signal when price gaps down by a specific amount, or more. |
KBA-C Kirshenbaum Band
Crossover |
Measures market volatility using standard error of linear regression lines of the close. The effect is that they measure the volatility around the current trend. |
| MAC-D MACD Divergence |
Looks for divergence between the MACD line and price. This divergence is measured using the pivot point algorithm. |
| MAC-M MACD
Crossover |
The MACD is constructed by plotting the difference between a 12-period exponential moving average and a 26-period moving average. A third moving average (the "trigger" line) generates trading signals when the MACD line crosses the trigger , in the direction of MACD. |
| MFR-B Money
Flow RSI Breakout |
This indicator has long been a favorite among AIQ users, and basically measures the amount of money flowing in or out of a particular stock. When Money Flow moves through zero, it is a sign that a given security is being accumulated or distributed. A separate moving average is provided to smooth the swings. The period used for MFR and the moving average period are both optimizable. |
MFR-D Money Flow RSI
Divergence |
Divergence, applied to Money Flow RSI. The system trades when MFR diverges from price. The same parameters can be optimized for MFR-D as for MFR-B. This system makes an excellent reversal indicator.
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| MOM-P Momentum
Peaks |
Divergence, applied to Money Flow RSI. The system trades when MFR diverges from price. The same parameters can be optimized for MFR-D as for MFR-B. This system makes an excellent reversal indicator. |
MV2-C Two Moving Average
Crossovers |
The "faster" or shorter-term moving average will rise above a longer-term one, thus giving rise to a system that is in the market on the side of the faster average. |
ROC-C Price Rate of Change
Crossover |
Measures essentially the same phenomenon as MOM-P, but expresses the relative price movement as a percentage. |
ROC-D Price Rate of Change
Divergence |
Not Available. |
| ROC-X ROC +6/-6 Crossover |
A classic +6%/-6% crossover system, which trades when the oscillator moves through +6% to the downside (short) and -6% to the upside (long). The period for ROC and the percentage level can both be optimized. |
| RSI-C RSI +70/+30 Crossover |
The Relative Strength oscillator (RSI), as defined by Welles Wilder, using a classic crossover interpretation. The system trades when RSI crosses through +30 to the upside (long) and +70 to the downside (short). The levels and periods for the RSI calculation can be optimized. |
RDI-D Relative Strength Index
Divergence |
Divergence trading signals occur when an indicator is sloping away, or "diverging" from the price trend. |
RSI-P Relative Strength Index
Peaks |
Based on the notion of comparing "up" days with "down" days, according to the theory that overbought levels follow a disproportionate number of periods in which the market advanced, whereas oversold levels generally occur after the market has declined for a significant number of periods. |
| RWI-B Random Walk Breakout |
Random Walk was defined in Technical Analysis Of Stocks and Commodities by Michael Poulos (see TASC, January 1992 and September 1992). Random Walk calculates how much price should move over a given period if its movement were purely random. When price moves past this level, it can be assumed to be trending in that direction and the system will issue a signal. The maximum look-back period for Random Walk is optimizable in this system. An excellent system. |
| SAR-C Stop and
Reverse System |
Stop and Reverse is defined in "New Concepts in Technical Trading Systems", and is a good system for calling reversals after long moves. SAR detects changes in direction by tightening stops of a position until it is exited by a crossing through the stop level. There are several parameters which comprise SAR, all of which are optimizable.
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| STO-C STO +80/+20
Crossover |
This is the classic Stochastics system which was included in our original systems for MetaStock. The system trades when Stochastics crosses +80 to the downside (short) and +20 to the upside (long). All parameters, including levels, %K and %D periods can be optimized. |
| STO-D Stochastic
Divergence |
The stochastics plot is drawn, and then divergence is measured using the indicator pivot point algorithm. |
| STO-M STO Classic %D |
Moving Average Ts when the %D line crosses the %K line above given level (short) or below a given level long). Another "classic" interpretation of stochastics. The signals generated by STO-M are slower than those given by STO-P, but are also less likely to trade against the trend. |
| STO-P
Stochastic Peaks |
Stochastics measures the relative position of
today's close to the range of price action over the past p periods, and are based on the observation that price will typically extend to the end of a range before reversing. |
TNL-BL Long Term Trend Line
Breaks |
Built-in automatic trendline algorithm generates a "breakout" signal when an existing trendline is violated. |
TNL-BM Medium Term Trend Line
Breaks |
Same as TLN-BL, except medium trend lines. |
TNL-BS Short Term Trend Line
Breaks |
Same as TLN-BL, except short trend lines. |
TLN-R(L/M/S) Long Term Trend Line
Reversal |
Built-in automatic trendline algorithm generates a "reversal" signal at the long (medium/short) term trendline. |
| TRU Trend Rule
Trading |
Looks for higher pivot points to go long and lower pivot points to go short, in the medium timeframe. |
| TRX-D TRIX
Divergence |
Divergence on the TRIX (Triple Exponential Moving Average) plot using the pivot point algorithm. |
TXM-FP TRIX Momentum
Fibonnaci Peaks |
The 8-period, 13-period, 21-period TRIX momentum oscillators are used to arrive at the composite indicator.
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| TXM-P TRIX
Momentum Peaks |
Yesterday's value of TRIX is subtracted from
today's value to obtain a "momentum" curve which gives early signals. |
VAP-B Volume Accumulation
Percent Breakout |
Measures relative change in accumulation and distribution to detect places where the market is changing its perception about a security by taking a more active role in buying and selling it, relative to the immediate preceding time period. |
VAP-C Volume Accumulation
Percent Band Crossover |
A move above the threshold occurs at the same w/ time as price crosses a trading band. |
VAP-D Volume Accumulation
Percent Divergence |
The volume accumulation percent plot is drawn, and then divergence is measured using the indicator pivot point algorithm. |
| VOL-C Volume Climax |
System that attempts to identify situations in which prices reverse in the opposite direction as volume declines. |
| VOL-T Volume
Trend |
Defines the average volume move over a period of time, then notes the values which occur above this level. A signal is given when price increases or declines at the same time as volume rises or falls. |
| VTY-B
Volatility Breakout |
Based on the fact that as markets break out to new highs or new lows, they typically exceed current volatility and range movements by some amount. |
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| WLR-C WIL %R -20/-80 |
William's %R oscillator, with classic crossover Crossover. The system trades (long) when
William's %R crosses -80 to the upside, and short when the oscillator crosses -20 to the downside. The values for period and crossover levels are both optimizable in this system. |
| WLR-D Williams %R Divergence |
Williams %R ( an "inverted, nonsmoothed" Stochastic oscillator) plot is drawn and then divergence is measured using the pivot point algorithm. |
| WLR-P Williams
%R Peaks |
Turning points of the Williams %R are determined. |
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