AAPL 10 Year Growth, 1 Month Candle |

SPY 10 Year Growth, 1 Month Candles |

While it is awe-inspiring to see that $10,000 invested in AAPL 10 years ago is now worth $345,000, the SPY picture is an average performance that can't be ignored: $10,000 invested in SPY 10 years ago is worth only $10,232. (Note: The TOS data feeds for ETF's do not provide dividend information, so your actual performance would have been on the order 2-3%/year better. However, the sdi_passive study does model dividend reinvestment when the data is available.) There must be many more poor/average investments out there than a cherry-picked-with-hindsight high-flier like AAPL. (Note: that IPO purchasers of AAPL did not make money for the first 18 years.)

In my opinion, this means that it is dreadfully hard to find these high-fliers that you can buy and forget. There must be so much crash 'n burn out there that it would just not be practical for most of us small-dogs to just sit on investments. Be vigilent and work the time-advantaged strategies.

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# sdi_passive - plot results of buy-and-hold and dollar-cost-averaging

#hint: shows the growth of $10,000 (configurable invested by the two basic passive-investment strategies: buy-and-hold (bnh) and dollar-cost-averaging (dca). dividend reinvestment is accounted for if the data is available(alas, etf's generally do not have this data available.) for dca the $10,000 is invested in equal periodic investments over the duration of the chart as determined by dcaFrequency. commissions are accounted for. idle money accrues interest, compounded per bar, but accrued interest is not invested. rev:1.2.0 http://www.smalldoginvestor.com

# author: allen everhart

# date: Oct 1, 2011

# rev. 1.2.0 17aug2013 -

# added dcaFrequency to produce more realistic results on aggregationPeriod.DAY

# start the study on barnumber() 3 to avoid a thinkScript bug.

# added chart labels to break down the dividends and interest earned.

# copylefts reserved. This is free software. That means you are free

# to use or modify it for your own usage but not for resale.

# Help me get the word out about my blog by keeping this header

# in place.

declare lower;

input totalInvestment = 10000;

input commission = 5.0;

#hint buyAt: Other calculators may differ on this so choice is provided here for comparison purposes.

input buyAt = { default open, close} ;

#hint APR: annual percentage rate applied to idle money.

input APR=0.2;

def purchasePrice =

if buyAt == buyAt.close then

close

else

open;

#plot pp = purchasePrice;

input dcaFrequency = 21 ;

#hint dcaFrequency: number of bars per purchase for dollar cost averaging. there are about 21 trading days per calendar month.

def aggFact = getAggregationPeriod()/(12*AggregationPeriod.MONTH);

def intRate = (APR/100) * aggFact;

#plot af = aggFact ; #diagnostic

def startBar = 3 ;

def barn =

if isNaN(close) then 0

else if barnumber() < startBar then 0

else barNumber()-startBar+1; #bar numbers origin to 1

def divy =

if isNaN(getDividend()) then 0

else getDividend() ;

def dripSharesPerShare =

if buyAt==buyAt.open && divy[1]>0 then

divy[1]/purchasePrice

else if buyAt==buyAt.close && divy>0 then

divy/purchasePrice

else

0 ;

#plot dss = dripSharesPerShare ;

def numberOfPurchases = floor(0.5+highestAll(barn)/dcaFrequency);

def periodicInvestment = totalInvestment/numberOfPurchases;

#AddLabel(1, Concat("Periodic Invest:", periodicInvestment));

#addlabel(1, Concat("Commissions:", numberofPurchases*Commission));

def moneyInvested =

if barn == 0 then 0

else if barn == 1 then periodicInvestment

else if barn>1 && barn % dcaFrequency == 0 then

periodicInvestment + moneyInvested[1]

else

moneyInvested[1]

;

#plot mi=moneyInvested ; #diag

################ BNH ####################

def bnhshrs =

if barn == 0 then 0

else if barn == 1 then

(totalInvestment-commission)/purchasePrice

else

bnhshrs[1]*(1+dripSharesPerShare)

;

def bnhdiv =

if barn == 1 then 0

else if barn > 1 && divy[1] then bnhdiv[1]+divy[1]*bnhshrs

else bnhdiv[1];

#plot bd= bnhdiv; #diagnostic

addlabel(1, concat("bnhdiv:",round(bnhdiv,2)), color.DARK_GREEN) ;

plot bnh = if barn>0 then bnhshrs*close else double.NaN;

bnh.setDefaultColor(color.DARK_GREEN);

########################### DCA ############################

def dcashrs =

if barn == 0 then 0

else if barn == 1 then

((periodicInvestment-commission)/purchasePrice)

else if barn>1 && barn%dcaFrequency == 0 then

((periodicInvestment-commission)/purchasePrice)+(dcashrs[1]*(1+dripSharesPerShare))

else

dcashrs[1]*(1+dripSharesPerShare)

;

#plot ds=dcashrs ; #diagnostic

# if we buy at open then maybe exclude a periodicInvestment from interest calc

def idleMoney =

if barn==0 then 0

else if barn==1 && buyAt==buyAt.open then

(totalInvestment-periodicInvestment)*(1+intRate)

else if barn==1 && buyAt==buyAt.close then

(totalInvestment*(1+intRate)) - periodicInvestment

else if barn>1 && barn%dcaFrequency == 0 && buyAt==buyAt.open then

(idleMoney[1]-periodicInvestment)*(1+intrate)

else if barn>1 && barn%dcaFrequency == 0 && buyAt==buyAt.close then

(idleMoney[1]*(1+intRate)) - periodicInvestment

else

idleMoney[1]*(1+intRate)

;

plot dca = if barn>0 then (dcashrs*close) + idleMoney else double.NaN;

dca.setDefaultColor(color.BLUE);

dca.setstyle(curve.MEDIUM_DASH);

addlabel( 1, Concat("dcaint:", round(idleMoney,2)), color.BLUE );

def dcadiv =

if barn == 1 then 0

else if barn > 1 && divy[1] then dcadiv[1]+divy[1]*dcashrs

else dcadiv[1];

#plot dd= dcadiv; #diagnostic

addlabel(1, concat("dcadiv:", round(dcadiv,2)), color.BLUE);

############################################

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