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DROP TABLE IF EXISTS `snapshot_evecentral`; | |
CREATE TABLE `snapshot_evecentral` ( | |
`price_date` DATE NOT NULL, | |
`price_time` TIME NOT NULL, | |
`typeid` INT(8) NOT NULL, | |
`locationid` INT(8) NOT NULL, | |
`location_type` ENUM('solarsystemid','stationid','regionid','global') NULL, | |
`buy_sell` TINYINT(1) NOT NULL DEFAULT 0, -- 0=sell, 1=buy | |
`price_best` FLOAT(13,2) NULL, -- BUY_MAX, SELL_MIN | |
`price_avg` FLOAT(13,2) NULL, |
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library(RODBC) | |
library(ggplot2) | |
library(grid) | |
market_data <- read.csv("--FILEPATH GOES HERE--", header=TRUE) | |
market_data$date <- as.Date(market_data$date) | |
market_data$typeid <- as.factor(market_data$typeid) | |
market_data$hour <- as.factor(market_data$HOUR.hour) | |
market_data$locationid <- as.factor(market_data$locationid) |
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library(RODBC) | |
library(jsonlite) | |
library(data.table) | |
library(grid) | |
library(reshape) | |
library(ggplot2) | |
library(sde) | |
library(zoo) | |
library(plyr) |
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library(RODBC) | |
library(jsonlite) | |
library(data.table) | |
library(grid) | |
library(reshape) | |
library(ggplot2) | |
library(sde) | |
library(zoo) | |
library(plyr) |
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#### INCLUDE LIBRARIES #### | |
library(quantmod) #getSymbols/chartSeries | |
library(zoo) #rollmean/rollapply | |
library(plyr) | |
library(sde) #GBM() | |
library(ggplot2) #ggplot() | |
library(reshape) #melt() | |
#### SCRIPT GLOBALS #### | |
StockSymbol <- "MU" |
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UPDATE invTypes SET volume=500 WHERE groupID in (29,1022,31); | |
UPDATE invTypes SET volume=1000 WHERE groupID in (448,12,649,952,340); | |
UPDATE invTypes SET volume=2500 WHERE groupID in (324,830,893,25,831,237,834); | |
UPDATE invTypes SET volume=3750 WHERE groupID in (543,463); | |
UPDATE invTypes SET volume=5000 WHERE groupID in (420,541,963); | |
UPDATE invTypes SET volume=10000 WHERE groupID in (906,358,833,894,832,26); | |
UPDATE invTypes SET volume=15000 WHERE groupID in (1201,419,540); | |
UPDATE invTypes SET volume=50000 WHERE groupID in (27,898,381,941,900); | |
UPDATE invTypes SET volume=20000 WHERE groupID in (1202,380,28); | |
UPDATE invTypes SET volume=1000000 WHERE groupID in (883,547,485,513,902,659); |
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SELECT conv.typeName as `typeName`, conv.typeID as `typeID`, COALESCE(dgm.valueInt, dgm.valueFloat,0) as `meta`, conv.groupID, | |
IF(conv.groupID in (29,1022,31), 500, | |
IF(conv.groupID in (448,12,649,952,340), 1000, | |
IF(conv.groupID in (324,830,893,25,831,237,834), 2500, | |
IF(conv.groupID in (543,463), 3750, | |
IF(conv.groupID in (420,541,963), 5000, | |
IF(conv.groupID in (906,358,833,894,832,26), 10000, | |
IF(conv.groupID in (1201,419,540), 15000, | |
IF(conv.groupID in (27,898,381,941,900), 50000, | |
IF(conv.groupID in (1202,380,28), 20000, |
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#### INCLUDE LIBRARIES #### | |
library(quantmod) #getSymbols/chartSeries | |
library(zoo) #rollmean/rollapply | |
library(plyr) | |
library(sde) #GBM() | |
library(ggplot2) #ggplot() | |
library(reshape) #melt() | |
library(TTR) #RSI() | |
library(grid) |
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Date | Cynabal | Dramiel | Machariel | SUM_factionKills | mean | |
---|---|---|---|---|---|---|
2016-01-12 | 166254000 | 48290500 | 447648000 | 721379 | 2.207308e+08 | |
2016-01-13 | 165430000 | 46586700 | 449224000 | 831691 | 2.204136e+08 | |
2016-01-14 | 165570000 | 46734000 | 456961000 | 787412 | 2.230883e+08 | |
2016-01-15 | 161172000 | 47407600 | 451482000 | 788098 | 2.200205e+08 | |
2016-01-16 | 164873000 | 47727500 | 447546000 | 876720 | 2.200488e+08 | |
2016-01-17 | 165724000 | 47626700 | 448990000 | 857619 | 2.207802e+08 | |
2016-01-18 | 165303000 | 48373500 | 445440000 | 789442 | 2.197055e+08 | |
2016-01-19 | 166448000 | 45800300 | 442759000 | 743316 | 2.183358e+08 | |
2016-01-20 | 174764000 | 48519400 | 439389000 | 790141 | 2.208908e+08 |
We can make this file beautiful and searchable if this error is corrected: It looks like row 6 should actually have 25 columns, instead of 14 in line 5.
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Date,Cynabal,Dramiel,Machariel,SUM_factionKills,mean,log_activity,ln_activity,sqrt_activity,activity_shift1,activity_shift2,activity_shift3,activity_shift4,activity_shift5,ln-activity_shift1,ln-activity_shift2,ln-activity_shift3,ln-activity_shift4,ln-activity_shift5,5d_movingAvg_cyn,5d_deviation_cyn,5d_movingAvg_dram,5d_deviation_dram,5d_movingAvg_mach,5d_deviation_mach | |
1/12/2016,166254000,48290500,447648000,721379,220730800,5.858163495,13.48891994,849.3403323,,,,,,,,,,,,,,,, | |
1/13/2016,165430000,46586700,449224000,831691,220413600,5.919962002,13.63121626,911.9709425,721379,,,,,13.48891994,,,,,,,,,, | |
1/14/2016,165570000,46734000,456961000,787412,223088300,5.896202029,13.5765069,887.3623837,831691,721379,,,,13.63121626,13.48891994,,,,,,,,, | |
1/15/2016,161172000,47407600,451482000,788098,220020500,5.896580225,13.57737773,887.7488384,787412,831691,721379,,,13.5765069,13.63121626,13.48891994,,,,,,,, | |
1/16/2016,164873000,47727500,447546000,876720,220048800,5.942860914,13.68394295,936.333274,788098,787412,831691,721379, |
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