[B! signal] kanbayashiã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯

kanbayashi id:kanbayashi

signalã«é–¢ã™ã‚‹kanbayashiã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (4)

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ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ãƒˆãƒ¬ãƒ¼ãƒ‰ã®å¼·åŒ–å¦ç¿’ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã«ã¤ã„ã¦èª¿ã¹ã¦ã¿ãŸ - Qiita
Nekopuniã•ã‚“ã®ãƒ–ãƒã‚°ã«è§¦ç™ºã•ã‚Œã¦è¶£å‘³ã¨å®Ÿç›Šã‚’å…¼ãã¦å¼·åŒ–å¦ç¿’ã‚’ç”¨ã„ãŸã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ãƒˆãƒ¬ãƒ¼ãƒ‰ã«ã¤ã„ã¦èª¿ã¹ã¦ã¿ã¾ã—ãŸã€‚ æ›¸ã„ã¦ã„ã‚‹å†…å®¹ã«ã¯å…¨ãè‡ªä¿¡ãŒã‚ã‚Šã¾ã›ã‚“ï¼ˆç‰¹ã«ã‚³ãƒ¼ãƒ‰ï¼‰ã€‚è‡ªåˆ†ç”¨ã®ãƒ¡ãƒ¢ãŒä¸»ãªç”¨é€”ã§ã™ãŒã€ã—ã‚‡ã¼ã„ã‚µãƒ¼ãƒ™ã‚¤è³‡æ–™ã¨ã—ã¦å‚è€ƒã«ãªã‚Œã°ã‚ã‚ŠãŒãŸã„ã§ã™ã€‚ å‚è€ƒè³‡æ–™ An Automated FX Trading System Using Adaptive Reinforcement Learning[å‚è€ƒæ–‡çŒ®1]ã€€â† RRLã«ã‚ˆã‚‹æœ€é©åŒ– Design of an FX trading system using Adaptive Reinforcement Learning[å‚è€ƒæ–‡çŒ®2] â† ä¸Šã®è«–æ–‡ã®è¦ç´„ãƒ‘ãƒ¯ãƒ Algorithm Trading using Q-Learning and Recurrent Reinforcement Learning[å‚è€ƒæ–‡çŒ®3]ã€€â† Q-learn
kanbayashi 2015/07/29
fx

system trade

python

signal

zipline

trade

finance
ãƒªãƒ³ã‚¯
Trading VXX with nearest neighbors prediction
An experienced trader knows what behavior to expect from the market based on a set of indicators and their interpretation. The latter is often done based on his memory or some kind of model. Finding a good set of indicators and processing their information poses a big challenge. First, one needs to understand what Â factors are correlated to future prices. Data that does not have any predictive qua
kanbayashi 2015/07/29
fx

system trade

python

signal

zipline

trade

finance
ãƒªãƒ³ã‚¯
ç‰¹å®šãƒ—ãƒã‚»ã‚¹ã‚’killã™ã‚‹ã‚·ã‚§ãƒ«ã‚¹ã‚¯ãƒªãƒ—ãƒˆ - åŠå¾„5ãƒ¡ãƒ¼ãƒˆãƒ«
ä¹…ã—ã¶ã‚Šã«æ›¸ã„ãŸã‚‰ã€PIDã®å–å¾—æ–¹æ³•ã‚’å¾®å¦™ã«å¿˜ã‚Œã¦ã„ãŸã®ã§ã€ãƒ¡ãƒ¢ã¨ã—ã¦ã€‚ #!/bin/sh USER=`whoami` TARGET=hoge pids=(`ps -ef | \ grep ${USER} | \ grep ${TARGET} | \ grep -v grep | \ awk '{ print $2; }'`) for pid in ${pids[*]} do kill -9 ${pid} done
kanbayashi 2010/01/14
signal

shell script

process id

*tips
ãƒªãƒ³ã‚¯
Fenrir's BLog: Ruby::PTYã§å¤–éƒ¨ã‚³ãƒžãƒ³ãƒ‰ã®èµ·å‹•çµ‚äº†ã®åˆ¶å¾¡
Rubyã§ã¡ã‚‡ã£ã¨ã—ãŸå‡¦ç†ãƒ—ãƒã‚°ãƒ©ãƒ ã‚’ä½œã£ãŸã¨ãã®è©±ã§ã™ã€‚ãƒ—ãƒã‚°ãƒ©ãƒ ã®æ§‹é€ ã¨ã—ã¦ã€Rubyä»¥å¤–ã®è¨€èªžã§æ›¸ã‹ã‚ŒãŸå®Ÿè¡Œãƒã‚¤ãƒŠãƒªãŒæ—¢ã«è¤‡æ•°ã‚ã‚Šã€ãã‚Œã‚’èµ·å‹•ã—ãŸã‚Šã€çµ‚äº†ã—ãŸã‚Šã—ãªãŒã‚‰åˆ¶å¾¡ã‚’ã™ã‚‹ã¨ã„ã†ã‚‚ã®ã§ã—ãŸã€‚ã„ã‚ã‚†ã‚‹ãƒ—ãƒã‚»ã‚¹åˆ¶å¾¡ãªã®ã§ã™ãŒã€åƒ•ãŒæ€ã„é•ã„ã‚’ã—ã¦ã„ãŸã“ã¨ã‚‚ã‚ã‚Šã€ã¡ã‚‡ã£ã¨è‹¦åŠ´ã—ãŸã®ã§ãã®æ™‚ã®è©±ã‚’ã¾ã¨ã‚ã¦ãŠã“ã†ã¨æ€ã„ã¾ã™ã€‚åƒ•ãŒã„ãã¤ã„ãŸç”ãˆã‚’å…ˆã«æ›¸ã„ã¦ã—ã¾ã†ã¨Ruby::PTYã§ã—ãŸã€‚ ä»Šå›žã®ç›®çš„ã«ä½¿ãˆã‚‹ã®ã§ã¯ã€ã¨ã¾ãšä¸€ç•ªã«æ€ã£ãŸã®ãŒã€Rubyã§å¤–éƒ¨ã®ã‚³ãƒžãƒ³ãƒ‰ã‚’èµ·å‹•ã™ã‚‹æœ€ã‚‚ç°¡å˜ãªæ–¹æ³•ã§ã‚ã‚‹ã€çµ„ã¿è¾¼ã¿ã‚³ãƒžãƒ³ãƒ‰ã®systemã‚„`(str)`ã€execãªã©ã§ã™ã€‚ã“ã‚Œã‚‰ã¯å¤–éƒ¨ã‚³ãƒžãƒ³ãƒ‰ã®å®Ÿè¡Œçµæžœã‚’å¾—ã‚‹ã“ã¨ãŒã§ãã‚‹ã®ã§ã™ãŒã€å¤–éƒ¨ã‚³ãƒžãƒ³ãƒ‰ã®çµ‚äº†ã¾ã§åˆ¶å¾¡ãŒå¸°ã£ã¦ã“ãªã„ã€execã«è‡³ã£ã¦ã¯å¤–éƒ¨ã‚³ãƒžãƒ³ãƒ‰ã®èµ·å‹•ãŒæˆåŠŸã—ã¦ã—ã¾ã†ã¨èµ·å‹•ã—ãŸRubyã‚¹ã‚¯ãƒªãƒ—ãƒˆã«åˆ¶å¾¡ãŒæˆ»ã£ã¦ã“ãªã„ã¨ã„ã†ã‚ã‚Šã•ã¾ã§ã™ã€‚ ãã“ã§ã“ã‚Œã‚‰ã®
kanbayashi 2009/12/29
ruby

command

exec

pty

signal

research

spawn
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