Trough(1,L,10)+

((((Trough(1,L,10)-Trough(2,L,10))

/

(TroughBars(2,L,10)-TroughBars(1,L,10)))

*TroughBars(1,L,10)))

This formula will draw a trendline from the most recent bottom. The L (low) can be changed to C (close) and the 10 can be changed to a different percent value. You will also need to change the line style to the last one in the drop down list.

Mike Helmacy www.techanalysis.com

Those who know me have found out I vacillate between the VERY complicated and the very simple. I have been following a few stocks (medium volatility, but good %% moves both up and down over a 2-5 week time frame) and tracking them with about 15 templates on which most of the formulas that I have acquired reside. I wanted to track those that did best and those that were not as effective. I also tracked those formulas that were late in showing turns in momentum vs those that caught the turn close on. In this regard, I was looking for finding stocks at intermediate term lows and highs, NOT for indicators that identified stocks that had begun their run in any direction and were destined to continue. As a result, I came up with a very simple indicator that showed a HIGH degree of accuracy in "turn-calling", but it did NOT give me indication of the strength or duration of the new move, only that it probably would occur. I believe that I have finally discovered that any signal of a change in momentum will NEVER give you a sense of strength or duration BY ITS VERY NATURE, and that only signals that identify stocks WITHIN a momentum trend (ie..already established) are able to do that. My momentum trend change indicator is derived from an intermediate trend indicator I've used for some time in MSWIN 6.0...

PDI(34) - MDI(34)

My new formula is...........

((PDI(8) - MDI(8)) - (PDI(21) - MDI(21))) + (PDI(13) - MDI(13))

Try it......I think you'll like it......and it's the same coding in WOW, I believe..........BW Chan I have posted an update to the RMTA and TOSC formula's, the first formulas had an "Absolute Value" that wasn't called for in the article ( I had mistaken the "[" "]" to mean "|" "|"). The new formulas seem to plot exactly as the old......but I wanted the code to match the math in the article. Thanks go out to William Golson for the help.

{Recursive Moving Trend Average}

Lb:=Input("Look-Back Period?",3,100,21);

Alpha:=2/(LB+1);

Bot:=(1-Alpha)*(If(Cum(1)<Lb,C,PREV))+C;

RMTA:=(1-Alpha)*(If(Cum(1)<Lb,C,PREV))+

(Alpha*(C+Bot-Ref(Bot,-1)));

RMTA;

{TOSC}

Lb:=Input("Look-Back Period?",3,100,21);

Alpha:=2/(LB+1);

Bot:=(1-Alpha)*(If(Cum(1)<Lb,C,PREV))+C;

RMTA:=(1-Alpha)*(If(Cum(1)<Lb,C,PREV))+

(Alpha*(C+Bot-Ref(Bot,-1)));

TOSC:=RMTA-Mov(C,lb,E);

TOSC;

Best wishes, Adam Hefner e-mail: VonHef@itlnet.net

Is the name of an article in the December issue of TASC, written by Dennis Meyers. In it he describes what he calls " The Recursive Moving Trend Average" . I wont go into all the article right now, but here is my translation of his math (for Metastock 6.5) :

{Recursive Moving Trend Average}
Lb:=Input("Look-Back Period?",3,100,21);
Alpha:=2/(LB+1);
Bot:=(1-Alpha)*(If(Cum(1)<Lb,C,PREV))+C;
RMTA:=(1-Alpha)*(If(Cum(1)<Lb,C,PREV))+
(Alpha*Abs(C+Bot-Ref(Bot,-1)));
RMTA;

He then explains how to make an oscillator by subtracting an Exponential MA form the Recursive MA...... again here is the code:

{TOSC}
Lb:=Input("Look-Back Period?",3,100,21);
Alpha:=2/(LB+1);
Bot:=(1-Alpha)*(If(Cum(1)<Lb,C,PREV))+C;
RMTA:=(1-Alpha)*(If(Cum(1)<Lb,C,PREV))+
(Alpha*Abs(C+Bot-Ref(Bot,-1)));
TOSC:=RMTA-Mov(C,lb,E);
TOSC;

Here is the code for System Testing;
Buy Long:

Lb:=opt1;
ent:=3;
Alpha:=2/(LB+1);
Bot:=(1-Alpha)*(If(Cum(1)<Lb,C,PREV))+C;
RMTA:=(1-Alpha)*(If(Cum(1)<Lb,C,PREV))+
(Alpha*Abs(C+Bot-Ref(Bot,-1)));
TOSC:=RMTA-Mov(C,lb,E);
Cross(tosc,(0-Abs(ent)))

Sell short:

Lb:=opt1;
ent:=3;
Alpha:=2/(LB+1);
Bot:=(1-Alpha)*(If(Cum(1)<Lb,C,PREV))+C;
RMTA:=(1-Alpha)*(If(Cum(1)<Lb,C,PREV))+
(Alpha*Abs(C+Bot-Ref(Bot,-1)));
TOSC:=RMTA-Mov(C,lb,E);
Cross((0+Abs(ent)),tosc1)

Opt1 is the look- back periods, of 3 to 30, and Opt2 is the entry value of the oscillator, 0 to 5.
Now, after all the hours spent on figuring out the code, I have discovered that the RMTA plots very similar to the DEMA, oh well............

Adam Hefner. e-mail: VonHef@itlnet.net

Market Pressure - Ultimate

This is the basic calculation:
If toadies close is greater than yesterdays close and
toadies volume is greater than yesterdays volume, write down toadies volume * close, otherwise,
If toadies close is less than yesterdays close and
toadies volume is less than yesterdays volume, write down todays volume as a negative number * close, otherwise write down 0.

Then add up the past 7 days and * 4, add this to
the past 14 days total and * 2, add this to
the past 28 days total.
Plot this grand total in your chart for each new trading day.

Simple Interpretation:
Market Pressure - Ultimate can show divergences with the instrument it is plotted against.
It may show signs of support and resistance when the indicator hits areas of support/resistance on its own graph.
Comparing rates of change/moving averages of the indicator against that of the instrument may reveal accumulation/distribution pressures.

Metastock code for Market Pressure - Ultimate:

Sum(If(C > Ref(C,-1)
AND V > Ref(V,-1),
V * C,
If(C < Ref(C,-1)
AND V < Ref(V,-1),
Neg(V) * C,0)),7) * 4 +

Sum(If(C > Ref(C,-1)
AND V > Ref(V,-1),
V * C,
If(C < Ref(C,-1)
AND V < Ref(V,-1),
Neg(V) * C,0)),14) * 2 +

Sum(If(C > Ref(C,-1)
AND V > Ref(V,-1),
V * C,
If(C < Ref(C,-1)
AND V < Ref(V,-1),
Neg(V) * C,0)),28)


Changing Ways Accumulation/Distribution

This is the calculation for the first formula (Todays Change):
Todays close - yesterdays close

This is the main formula, incorporating the first calculation:
If todays change (1st formula) is greater than a 7 day exponential moving average of todays change and todays close is greater than yesterdays close, write down todays close + todays volume, otherwise,
If todays change is less than a 7 day exponential moving average of todays change and todays close is less than yesterdays close, write down the negative value of todays close + todays volume, otherwise write down 0.

Then add up all the days values and keep a cumulative running total for each new trading day.

Simple Interpretation:
Changing Ways Accumulation/Distribution can show divergences against the instrument.
When compared against volume activity, it can show what impact a day of high turnover had on the share price for the coming periods. This is to say that if a day had high volume and there was little movement in the indicator alongside this, then you can suggest that all the volume for that day was absorbed into the price and there is less likelihood of buying/selling pressure in that day taking hold in the market in future trading days.

Metastock code for Changing Ways Accumulation/Distribution:

Cum(If(Fml( "Todays Change" ) > Mov(Fml( "Todays Change" ),7,E) AND C > Ref(C,-1),
C + V,
If(Fml( "Todays Change" ) < Mov(Fml( "Todays Change" ),7,E) AND C < Ref(C,-1),
Neg(C + V) ,0)))

Where Fml( "Todays Change" ) = c - ref(c,-1)

Page 3

Front Weighted 36 Day Moving Average

This indicator requires 3 sub calculations and then the totalling of all 3 to get the final indicator:

This is the basic calculation:
Take the closing prices of your instrument 34 days ago - 26 days ago (inclusive), multiply each daily value by 0.01 and write each value down.
Then take the closing prices of your instrument 25 days ago - 18 days ago (inclusive), multiply each daily value by 0.02 and write each value down.
Then take the closing prices of your instrument 25 days ago - 18 days ago (inclusive), multiply each daily value by 0.02 and write each value down.
Then take the closing price of your instrument 17 days ago and multiply by 0.03 ad write the value down.
Then take the closing price of your instrument 16 days ago - 8 days ago (inclusive), multiply by 0.031 and write each value down.
Then take the closing price of your instrument 7 days ago - 6 days ago (inclusive), multiply by 0.006 and write each value down.
Then take the closing price of your instrument 5 days ago - 1 day ago (inclusive), multiply by 0.07 and write each value down.
Then take the closing price of your instrument today, multiply by 0.079 and write this value down.

Finally, add up all the values that you wrote down and plot the value on the chart, repeat this for every new trading day.

Simple Interpretation:
Front Weighted 36 Day Moving Average is similar to all other moving averages. The interpretation is just as with all others, the trend is up when prices are above the moving average and the trend is down when prices are below the moving averages. This particular variation attempts to weight the data at the front more than that at the back, with a sliding scale for each trading days value.

Metastock code for Front Weighted 36 Day Moving Average:

Fml( "1FrontWeighted36BarMA1" ) +
Fml( "2FrontWeighted36BarMA2" ) +
Fml( "3FrontWeighted36BarMA3" )

Where Fml( "1FrontWeighted36BarMA1" ) =
0.01 * Ref(P,-34) +
0.01 * Ref(P,-33) +
0.01 * Ref(P,-32) +
0.01 * Ref(P,-31) +
0.01 * Ref(P,-30) +
0.01 * Ref(P,-29) +
0.01 * Ref(P,-28) +
0.01 * Ref(P,-27) +
0.01 * Ref(P,-26) +
0.02 * Ref(P,-25) +
0.02 * Ref(P,-24) +
0.02 * Ref(P,-23) +
0.02 * Ref(P,-22) +
0.02 * Ref(P,-21) +
0.02 * Ref(P,-20) +
0.02 * Ref(P,-19) +
0.02 * Ref(P,-18)

Where Fml( "2FrontWeighted36BarMA2" ) =
0.03 * Ref(P,-17) +
0.031 * Ref(P,-16) +
0.031 * Ref(P,-15) +
0.031 * Ref(P,-14) +
0.031 * Ref(P,-13) +
0.031 * Ref(P,-12) +
0.031 * Ref(P,-11) +
0.031 * Ref(P,-10) +
0.031 * Ref(P,-9) +
0.031 * Ref(P,-8) +
0.006 * Ref(P,-7) +
0.006 * Ref(P,-6) +
0.07 * Ref(P,-5) +
0.07 * Ref(P,-4) +
0.07 * Ref(P,-3) +
0.07 * Ref(P,-2)

Where Fml( "3FrontWeighted36BarMA3" ) =
0.07 * Ref(P,-1) +
0.079 * P

Excel Confidence %

This is the calculation:

Take todays volume * 50 and find the square root of that number. Then divide 2.5 by your result. Then take the result of dividing by 2.5 and * todays close. Write this figure down.
Then plot a 10 day moving average of this figure. This is the fundamental calculation which we shall call a.

Take the value for a and take it away from the lowest value of itself over the past 5 days. Add up these results for the past 3 days. This number is called b.

Now take the highest value for a over the past 5 days and subtract the lowest value for a, also over the past 5 days. Call this number c.

Finally, divide b by c and multiply the answer by 100. (phew!)

Simple Interpretation:
Excel Confidence % should oscillate between 0 and 100, usually at the extreme ends of the scale. A value of 0 indicates no confidence in the market going up, whilst 100 indicates perfect confidence in the market going up. Although this obviously isn't the holy grail of indicators, it does offer some insight into what the market is thinking and how one can measure investor sentiment.
You might like to add a slower version of this (just increase the 3 day and 5 day calculations to something you believe to be appropriate - try 7 & 15) and trade the crossovers, as with stochastics.
You can also just trade the values ie 90 or higher, buy, 10 or lower, sell.

Metastock code for Excel Confidence %:

(Sum(
Mov(C * (2.5/ Sqrt(50 * V)),10,S)-
LLV(Mov(C * (2.5/ Sqrt(50 * V)),10,S),5), 3 ) /
Sum(
HHV(Mov(C * (2.5/ Sqrt(50 * V)),10,S),5) -
LLV(Mov(C * (2.5/ Sqrt(50 * V)),10,S),5), 3) ) * 100


Lone Ranger

This is the calculation:

There are 2 calculations needed for this.
For the first, just take the highest value of the close in the past 3 days (including todays close) and take this away from the lowest value of the cose in the past 3 days. Call the result of this a.

Then divide a by volume. Subtract the result of this by the value of a divided by volume 5 days ago.

Finally, multiply this number by -1.

Simple Interpretation:
This is a short term indicator which will show short term divergences against the market instrument. You can also use it to compare its rate of change against that of the market.
Extreme lows or highs in the indicator may be a signal of similar instances in the market, however you would want to define a time period to make use of this function.

Metastock code for Lone Ranger:

(( Fml( "Z Range" ) / V) -
Ref((Fml( "Z Range" ) / V),-5)) * -1

Where Fml( "Z Range" ) = (HHV(c,3) - LLV(c,3))

Three inside Days

Inside days suggest a volatility compression and often preceede strong breakouts. Search returns 1 for ok and 0 for not ok

• Inside()
• Inside()-1
• Inside()-2

NR4 Formula from Trading Tactics page 100

Column A
Std(Log(C/Ref(C,-1)),5)/Std(Log(C/Ref(C,-1)),99)
Column B
HIGH-LOW<Ref(LLV(H-L,3),-1)
Column C
HIGH<(Ref(HIGH,-1)AND LOW>Ref(LOW,-1))
Column D
HIGH
Column E
LOW
Filter
colA<.5 AND (colB= 1 OR colC= 1)

Price and Volume Breakout

Shows stocks where the price increased 5% and the volume is 50% above a 50-day moving average. Rank results by % change in price, then check the volume.

• CLOSE
• Ref(CLOSE,-1)
• ROC(CLOSE,1,percent)
• VOLUME
• Mov(VOLUME,50,EXPONENTIAL)
• ((VOLUME - Mov(VOLUME,50,EXPONENTIAL)) /Mov(VOLUME,50,EXPONENTIAL)) * 100
• **When(colC >= 5) AND When(colD >= colE*1.5)

Bottom Reversal

These are a collection of bottom signals. The search returns 1 for Ok and 0 for not ok.

• CLOSE
• EngulfingBull()
• MorningDojiStar()
• MorningStar()
• WhiteSoldiers()

Gap Days

Shows stocks which have gapped up or down on the open compared to yesterdays price. The search returns 1 for Ok and 0 for not ok.

• GapUp()

Higher Closes

Shows stocks which have closed higher on successive days.

• CLOSE
• CLOSE -1
• CLOSE -2
• **When(colA,>,colB) AND When(colB,>,colC)

Moving Average Crossover---Bullish

This is a10 and 30 day moving average crossover search. Results close to 0 pinpoint the crossover.

• CLOSE
• Mov(CLOSE,30,EXPONENTIAL)
• ((CLOSE-Mov(CLOSE,30,EXPONENTIAL)) /Mov(CLOSE,30,EXPONENTIAL)) * 100
• ((CLOSE-Mov(CLOSE,10,EXPONENTIAL)) /Mov(CLOSE,10,EXPONENTIAL)) * 100
• **When(colA > colB)

MACD Crossover Buy Signal

Shows those stocks where an MACD crossover has been signalled.The search returns 1 for Ok and 0 for not ok.

• CLOSE
• MACD()
• Ref(MACD(),-1)
• Mov(MACD(),9,EXPONENTIAL)
• Ref(Mov(MACD(),9,EXPONENTIAL),-1)
• ((MACD() - Mov(MACD(),9,EXPONENTIAL)) /Mov(MACD(),9,EXPONENTIAL)) * 100
• **Cross( MACD(), Mov(MACD(),9,EXPONENTIAL))

Performance Daily

Stocks sorted on % gains over 1, 2, 3, 4, and 5 days. Rank results for the selected day. Good for finding breakout stocks.

• CLOSE
• ROC(CLOSE,1,percent)
• ROC(CLOSE,2,percent)
• ROC(CLOSE,3,percent)
• ROC(CLOSE,4,percent)
• ROC(CLOSE,5,percent)

Rally Gap and Inside Day

Finds stocks which have rallied, gapped upwards, and then had an inside day.

Usually leads to a resumption of the rally. The search returns 1 for Ok and 0 for not ok.

• RallyWithVol()
• Inside()
• GapUp()

Range High

Looks for out of range move where the close equals the high. Suggests more buying pressure.

The search returns 1 for Ok and 0 for not ok.

• BigWhite()
• CLOSE

High Volume

Displays those where volume is above the 100 day moving average.

The search returns 1 for Ok and 0 for not ok.

• VOLUME
• Mov(VOLUME,100,EXPONENTIAL)
• ((VOLUME - Mov(VOLUME,100,EXPONENTIAL))
• /Mov(VOLUME,100,EXPONENTIAL)) * 100
• When(colA,>,colB)

Collection from a Spanish Source

They are contributed by Patrick who notes "my limited Spanish suggests that they are simply a random collection made by the web owner, who points out that there is as yet 'no Holy Grail' in technical analysis! For the past few days I have been using them by substituting the for 'number' given to each formula, the complete formula that particular number represents. In this way, each becomes independent." We have included all 80 of them, complete with the orginal Spanish cover note.
A continuaci๓n se ofrecen una serie de f๓rmulas que puede utilizar con el programa Metastock recogidas de la red y cuya utilidad Vd. debe valorar. Se ruega encarecidamente a todos aquellos que tengan f๓rmulas que puedan resultar ๚tiles las envํen a jomaba@interbook.net para su publicaci๓n en esta pแgina. Muchos dicen que el Santo Grial no existe.ฟY si es mentira?

1 DAILY CLOSE VS HIGH AND LOW WAVE if((C-L)/(H-L),>,.66 ,1, if((C-L)/(H-L),<,.38,-1,0))
2 PRICE OSCILLATOR WAVE if(ref(oscp(3,15,S,%),-1),<,0,1,0)
3 VOLUME OSCILLATOR WAVE if(oscv(1,50,S,%),>,50,1,0)
4 WEEKLY PRICE OSCILLATOR WAVE if(fml(#17),>,ref(fml(#17),-1),1, if(fml(#17),<,ref(fml(#17),-1),-1,0))
5 VOLATILITY WAVE if(ref(fml(#27),-1),<,90,1,0)
6 LONG BINARY WAVE fml(#1) + fml(#2) + fml(#3) + fml(#9)
7 STOCHASTIC WAVE - LONG if(ref(stoch(14,3),-1),=,llv(stoch(14,3),3),2, if(stoch(14,3),=,llv(stoch(14,3),3),1,0))
8 STOCHASTIC WAVE - SHORT if(ref(stoch(14,3),-1),=,hhv(stoch(14,3),3),2, if(stoch(14,3),=,hhv(stoch(14,3),3),1,0))
9 VOLATILITY DIFFERENCE WAVE if(fml(#11),>=,1.00,1,0)
10 LONG BINARY II fml(#1) + fml(#3) + fml(#9) + fml(#24)
11 VOLATILITY DIFFERENCE mov(H-L,1,S)/mov(H-L,20,S)
12 HI LOW WAVE - DAILY if(H,>,ref(hhv(H,100),-1),1,if(L,<,ref(llv(L,100),-1),-1,0))
13 WEEKLY HIGH LOW WAVE if(H,>,ref(hhv(H,40),-1),1, if(L,<,ref(llv(L,40),-1), -1,0))
14 PERCENT ABOVE\BELOW MOVING AVG (oscp(1,30,E,%))
15 WEEKLY PRICE OSCILLATOR mov(oscp(10,20,S,%),10,S)
16 MACD WAVE MACD/trigger Binary Wave if(macd(), >, mov(macd(),9,E), {bullish} +1, {bearish} -1)
17 WEEKLY OSC SEGMENT mov(oscp(43,86,S,%),43,S)
18 HISTORICAL VOLATILITY (std(log(C / ref(C,-1)),10)*sqr(365)) /(std(log(C / ref(C,-1)),50)*sqr(365))
19 RELATIVE STRENGTH C/P
20 CLOSE REL TO HIGH LOW (C-L)/(H-L)
21 GAP IDENTIFICATION if(L,>,ref(H,-1),1, if(H,<,ref(L,-1),-1,0))
22 AVG VOLUME mov(V,50,S)
23 MOVE WAVE 20-unit m.a. Binary Wave if(C, >, mov(C,20,E), {then bullish} +1, {else bearish} -1)
24 STOCHASTIC VALUE WAVE if(ref(stoch(14,3),-1),<,65,1, if(stoch(14,3),<,65,1,0))
25 ROC WAVE 12-ROC price Binary Wave if(roc(C,12,%), >, 0, {then bullish} +1, {else bearish} -1)
26 STOCH WAVE 5- Stochastic Binary Wave if(stoch(5,3), >, 50, {then bullish} +1, {else bearish} -1)
27 ATR RATIO atr(10)/atr(50)/100
28 BINARY WAVE Composite Wave of above fml("MACD Wave") + fml("MOVE Wave") + fml("ROC Wave")+ fml("STOCH Wave")
29 WEEKLY OPEN CLOSE WAVE if(C,>,O,1,if(C,<,O,-1,0))
30 SHORT BINARY WAVE fml(#31) + fml(#32) + fml(#33)
31 SHORT OPEN CLOSE WAVE if((C-L)/(H-L),<,.38,1,0)
32 SHORT PRICE OSCILLATOR WAVE if(ref(oscp(3,15,S,%),-1),>,0,1,0)
33 SHORT VOLUME WAVE if(oscv(1,50,S,%),>,0, if(V,>,ref(V,-1),1,0),0)
34 O.B.V. Good example of if() func cum( if( C, >, ref(C,-1), +V, if( C, <, ref(C,-1), -V, 0) ))
35 SINE WAVE 5-unit standing sine wave sin( cum(5) )
36 STOCHASTIC Example of hhv() function ( sum( C - llv(L,5), 3 ) / sum( hhv(H,5) - llv(L,5), 3) ) * 100
37 Median price (hhv(H,10)-C)-(C-llv(L,10))/(hhv(H,10)-llv(L,10))
38 Future MACD---Dr. Trieber (C-(( 11.607*(mov(C,26,E)))-(10.607*(mov(C,12,E))) -(12.536*(mov(macd(),9,E)))))
39 Fraction (32nd's) int(C)+((frac(C)/0.03125)/100)
40 Summation Noise Indicator (Adam White) (sum(abs(C-ref(C,-1)),14)-sum(abs(mov(C,10,S)-ref(mov(C,10,S),-1)),14))/
sum(abs(C-ref(C,-1)),14)
41 Chaikin Money Flow sum(((((C-L)-(H-C))/(H-L))*V),21)/sum(V,21)
42 Linear Regression ((15*(sum(cum(1)*C,10))-(sum(cum(1),10)*(sum(C,10))))
/((10*sum(pwr(cum(1),2 ),10))-pwr(sum(cum(1),2),10))
-pwr(sum(cum(1),10),2))
43 Smoothed Tick Momemtum Line-TASC mov(roc(cum(if(C,>,ref(mov(C,10,E),-1),+1,
if(C,<,ref(mov(C,10,E),-1),-1,0))),5,$),5,E)
44 Bull Power (for Elderray) H-mov(C,13,E)
45 Bear Power (for Elderray) L-mov(C,13,E)
46 13-Period Moving Average (for Elderray) mov(C,13,E)
47 RSI Binary Wave (using 30/70 xover) if(rsi(10),>,30,if(ref(rsi(10),-1),<,30,+1,if(rsi(10),<,70,if(ref(rsi(10),- 1),>,70,-1,0),0)),0)
48 Trendscore...Tushar Chande (TASC) if(C,>=,ref(C,-11),1,-1)+if(C,>=,ref(C,-12),1,-1)+if(C,>=,ref(C,-13),1,-1)+
if(C,>=,ref(C,-14),1,-1)+if(C,>=,ref(C,-15),1,-1)+if(C,>=,ref(C,-16),1,-1)+
if(C,>=,ref(C,-17),1,-1)+if(C,>=,ref(C,-18),1,-1)+if(C,>=,ref(C,-19),1,-1)+
if(C,>=,ref(C,-20),1,-1)
49 KST-Martin Pring (One formula) (mov(roc(C,10,%),10,S))+(2*(mov(roc(C,15,%),10,S)))+
(3*(mov(roc(C,20,%),10,S)))+(4*(mov(roc(C,30,%),15,S)))/10
50 Dual Oscillator B-Wave +1 buy, -1 sell if(fml("dual osc 1"),>,fml("dual osc 2"),if(ref(fml("dual osc 1"),-1),<,
ref(fml("dual osc 2"),-1),+1,if((fml("dual osc 1")),<,fml("dual osc 2"),
if(ref(fml("dual osc 1"),-1),>,ref(fml("dual osc 2"),-1),-1,0),0)),0)
51 Dual Osc 1 mov(C,2,S)-mov(C,10,S)
52 Dual Osc 2 mov((H+L+C)/3,5,S)-mov((H+L+C)/3,20,S)
53 R Squared pwr(corr(cum(1),C,5,0),2)
54 Slope of Linear Regression Line ((5*(sum(cum(1)*C,5)))-(sum(cum(1),5)*(sum(C,5))))/
((5*sum(pwr(cum(1),2),5))-pwr(sum(cum(1),5),2))
55 RWI for today's high (H-ref(L,-16))/(mov((H-L),16,S)*sqr(16))
56 RWI for today's low (ref(H,-16)-L)/(mov((H-L),16,S)*sqr(16))
57 Momemtum roc(mov(C,10,E),10,%)
58 Volume Binary Wave if(V,>,ref(mov(V,20,E),1),1,if(V,<,ref(mov(V,10,E),1),-1,0))
59 MACD w/SAR if(macd(),>,mov(macd(),9,E),{macd is above trigger}if(sar(.02,.2),
<,C,{buy long}+2,{stop shorts}+1),{macd < trigger}if(sar(.02,.2),>,
C,{sell short}-2, {stop longs}-1))
60 Oscillating OBV mov(obv(),20,E)-obv()
61 Overreaction Index if(ref(std(C,3),-3),>,4,+1,0)+if(C,<,(sar(.015,.15)),-1,+1)
62 Modified MACD tsf(C,12)-tsf(C,26)
63 RVI w/simple moving average (TASC) 100*mov(if(C,>,ref(C,-1),std(C,10),0),14,S)/(mov(if(C,>,ref(C,-1),
std(C,10),0),14,S)+mov(if(C,<,ref(C,-1),std(C,10),0),14,S))
64 Upper Bollinger Band mov(C,20,S)+(2*(std(C,20)))
65 Lower Bollinger Band mov(C,20,S)-(2*(std(C,20)))
66 Middle Band mov(C,20,S)
67 %B (TASC) (C-(mov(C,20,S)-(2*(std(C,20)))))/(mov(C,20,S)+(2*(std(C,20)))-
mov(C,20,S)-(2*(std(C,20))))
68 Band Width (TASC) (mov(C,20,S)+(2*(std(C,20))))-(mov(C,20,S)-(2*(std(C,20))))/mov(C,20,S)
69 Volume % above/below 10 day MA (V-mov(V,10,S))/mov(V,10,S)
70 # of STD's of volume (V-mov(V,20,S))/std(V,20)
71 Morris' RSI w/volume (TASC) 100-(100/(1+(mov(if(roc(C,1,$),>,0,roc(C,1,$)*V,0),14,S)/
mov(if(roc(C,1,$), <,0,-roc(C,1,$)*V,0),14,S))))
72 Custom A/D Oscillator cum(if(C,>,ref(C,-2),1,if(C,<,ref(C,-2),-1,0)))
73 Empty Candlestick if(C,>,o{then empty},+1,0)
74 Filled Candlestick if(C,<,o{then filled},+1,0)
75 Doji if(C,=,o{then doji},+1,0)
76 Bearish engulfing lines if(fml(#28),=,+1,if(ref(fml(#27),-1),=,+1,if(C,<=,ref(O,-1),if(O,>=,
ref(C,-1),-1,0),0),0),0)
77 Bullish engulfing lines if(fml(#27),=,+1,if(ref(fml(#28),-1),=,+1,if(C,>=,ref(O,-1),if(O,<=,
ref(C,-1),+1,0),0),0),0)
78 Engulfing Line Binary wave fml(#30)+fml(#31)
79 Largest negative change in close llv(roc(C,1,$),40)
80 Choppiness Index (TASC) ((log(sum(atr(1),14)/(hhv(if(H,>=,ref(C,-1),H,ref(C,-1)),14)-llv(if(L,<=,
ref(C,-1),L,ref(C,-1)),14)))/log(10))/(log(14)/log(10)))*100

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