1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
|
BEGIN {
Init()
ReadQuotes()
CleanUp()
Prediction()
Report()
SendMail()
}
function Init() {
if (ARGC != 1) {
print "STOXPRED - daily stock share prediction"
print "IN:\n no parameters, nothing on stdin"
print "PARAM:\n -v Proxy=MyProxy -v ProxyPort=80"
print "OUT:\n commented predictions as email"
print "JK 09.10.2000"
exit
}
# Remember ticker symbols from Dow Jones Industrial Index
StockCount = split("AA GE JNJ MSFT AXP GM JPM PG BA HD KO \
SBC C HON MCD T CAT HWP MMM UTX DD IBM MO WMT DIS INTC \
MRK XOM EK IP", name);
# Remember the current date as the end of the time series
day = strftime("%d")
month = strftime("%m")
year = strftime("%Y")
if (Proxy == "") Proxy = "chart.yahoo.com"
if (ProxyPort == 0) ProxyPort = 80
YahooData = "/inet/tcp/0/" Proxy "/" ProxyPort
}
function ReadQuotes() {
# Retrieve historical data for each ticker symbol
FS = ","
for (stock = 1; stock <= StockCount; stock++) {
URL = "http://chart.yahoo.com/table.csv?s=" name[stock] \
"&a=" month "&b=" day "&c=" year-1 \
"&d=" month "&e=" day "&f=" year \
"g=d&q=q&y=0&z=" name[stock] "&x=.csv"
printf("GET " URL " HTTP/1.0\r\n\r\n") |& YahooData
while ((YahooData |& getline) > 0) {
if (NF == 6 && $1 ~ /Jan|Feb|Mar|Apr|May|Jun|Jul|Aug|Sep|Oct|Nov|Dec/) {
if (stock == 1)
days[++daycount] = $1;
quote[$1, stock] = $5
}
}
close(YahooData)
}
FS = " "
}
function CleanUp() {
# clean up time series; eliminate incomplete data sets
for (d = 1; d <= daycount; d++) {
for (stock = 1; stock <= StockCount; stock++)
if (! ((days[d], stock) in quote))
stock = StockCount + 10
if (stock > StockCount + 1)
continue
datacount++
for (stock = 1; stock <= StockCount; stock++)
data[datacount, stock] = int(0.5 + quote[days[d], stock])
}
delete quote
delete days
}
function Prediction() {
# Predict each ticker symbol by prolonging yesterday's trend
for (stock = 1; stock <= StockCount; stock++) {
if (data[1, stock] > data[2, stock]) {
predict[stock] = "up"
} else if (data[1, stock] < data[2, stock]) {
predict[stock] = "down"
} else {
predict[stock] = "neutral"
}
if ((data[1, stock] > data[2, stock]) && (data[2, stock] > data[3, stock]))
hot[stock] = 1
if ((data[1, stock] < data[2, stock]) && (data[2, stock] < data[3, stock]))
avoid[stock] = 1
}
# Do a plausibility check: how many predictions proved correct?
for (s = 1; s <= StockCount; s++) {
for (d = 1; d <= datacount-2; d++) {
if (data[d+1, s] > data[d+2, s]) {
UpCount++
} else if (data[d+1, s] < data[d+2, s]) {
DownCount++
} else {
NeutralCount++
}
if (((data[d, s] > data[d+1, s]) && (data[d+1, s] > data[d+2, s])) ||
((data[d, s] < data[d+1, s]) && (data[d+1, s] < data[d+2, s])) ||
((data[d, s] == data[d+1, s]) && (data[d+1, s] == data[d+2, s])))
CorrectCount++
}
}
}
function Report() {
# Generate report
report = "\nThis is your daily "
report = report "stock market report for "strftime("%A, %B %d, %Y")".\n"
report = report "Here are the predictions for today:\n\n"
for (stock = 1; stock <= StockCount; stock++)
report = report "\t" name[stock] "\t" predict[stock] "\n"
for (stock in hot) {
if (HotCount++ == 0)
report = report "\nThe most promising shares for today are these:\n\n"
report = report "\t" name[stock] "\t\thttp://biz.yahoo.com/n/" \
tolower(substr(name[stock], 1, 1)) "/" tolower(name[stock]) ".html\n"
}
for (stock in avoid) {
if (AvoidCount++ == 0)
report = report "\nThe stock shares to avoid today are these:\n\n"
report = report "\t" name[stock] "\t\thttp://biz.yahoo.com/n/" \
tolower(substr(name[stock], 1, 1)) "/" tolower(name[stock]) ".html\n"
}
report = report "\nThis sums up to " HotCount+0 " winners and " AvoidCount+0
report = report " losers. When using this kind\nof prediction scheme for"
report = report " the 12 months which lie behind us,\nwe get " UpCount
report = report " 'ups' and " DownCount " 'downs' and " NeutralCount
report = report " 'neutrals'. Of all\nthese " UpCount+DownCount+NeutralCount
report = report " predictions " CorrectCount " proved correct next day.\n"
report = report "A success rate of "\
int(100*CorrectCount/(UpCount+DownCount+NeutralCount)) "%.\n"
report = report "Random choice would have produced a 33% success rate.\n"
report = report "Disclaimer: Like every other prediction of the stock\n"
report = report "market, this report is, of course, complete nonsense.\n"
report = report "If you are stupid enough to believe these predictions\n"
report = report "you should visit a doctor who can treat your ailment."
}
function SendMail() {
# send report to customers
customer["uncle.scrooge@ducktown.gov"] = "Uncle Scrooge"
customer["more@utopia.org" ] = "Sir Thomas More"
customer["spinoza@denhaag.nl" ] = "Baruch de Spinoza"
customer["marx@highgate.uk" ] = "Karl Marx"
customer["keynes@the.long.run" ] = "John Maynard Keynes"
customer["bierce@devil.hell.org" ] = "Ambrose Bierce"
customer["laplace@paris.fr" ] = "Pierre Simon de Laplace"
for (c in customer) {
MailPipe = "mail -s 'Daily Stock Prediction Newsletter'" c
print "Good morning " customer[c] "," | MailPipe
print report "\n.\n" | MailPipe
close(MailPipe)
}
}
|