| """ | |
| (c) 2014 miraculixx at gmx.ch | |
| """ | |
| from shrutil.dictobj import DictObject | |
| class RuleContext(DictObject): | |
| """ | |
| rule context to store values and attributes (or any object) | |
| """ | |
| def __init__(self): |
| # Details on usage see docstring | |
| # | |
| # Installation: | |
| # | |
| # $ pip install invoke | |
| # $ (copy/paste this file to your local tasks.py) | |
| # | |
| # Usage: | |
| # | |
| # 1. amend your values.yaml with a #==tags.myfeature (at line end of line to update) |
Reading up
Intro article https://www.investopedia.com/articles/active-trading/101014/basics-algorithmic-trading-concepts-and-examples.asp
Technical analysis - https://www.investopedia.com/terms/t/technicalanalysis.asp
Investopedia has some good links on various indicators, e.g. RSI, MACD, Ichimoku cloud etc.
Datacamp has some good blogs
| Question by @nntaleb | |
| Throw a coin, H=head, T= Tail. Which sequence one is more likely? | |
| A={H,T,H,T,H,T,H,T,H,T,T,H,T,H,H,T,T,T,H,H} | |
| B={H,H,H,H,H,H,H,H,H,H,H,H,H,H,H,H,H,H,H,H} | |
| C={H,H,H,H,H,H,H,H,H,H,T,T,T,T,T,T,T,T,T,T} | |
| # this will chain the fit and predict, i.e. fit will run only on predict success | |
| with om.runtime.chain() as crt: | |
| crt.model('regmodelx').fit('sample[y]', 'sample[x]') | |
| crt.model('regmodelx').predict([5], rName='foox') | |
| result = crt.run() | |
| # sometime later | |
| print(result.get()) |
| #!/bin/sh | |
| set -e | |
| # https://unix.stackexchange.com/a/315517 | |
| sudo systemctl stop apt-daily.service apt-daily-timer apt-daily-upgrade.timer || true | |
| sudo systemctl kill --kill-who=all apt-daily.service || true | |
| # https://github.com/rancher/rancher/issues/27353#issuecomment-706103308 | |
| sudo killall dpkg || true | |
| sudo rm -f /var/lib/dpkg/lock || true |
| @contextmanager | |
| def timeit(): | |
| """ straight forward statement timer for Python | |
| Usage: | |
| with timeit() as timer: | |
| ... | |
| print(timer.elpased()) # prints the timedelta, timer also has .start, .end | |
| """ |
| import subprocess | |
| subprocess.run("getgist miraculixx progress.py".split(' ')) | |
| import omegaml as om_ | |
| from progress import progress | |
| om = om_ | |
| def match_active_queues(queue=None, nodes=None): | |
| queues = om.runtime.celeryapp.control.inspect().active_queues() |
| def progress(fn): | |
| """decorator to run fn until timeout in seconds, or wait forever if timeout < 0 | |
| Usage: | |
| @progress | |
| def fn(..): | |
| return stop-flag, result | |
| stopped, result = fn(.., timeout=SECONDS, stop_on_error=True|False, interval=SECONDS) | |
| # put this in ./dependencies | |
| # add external dependencies that cannot be added as a repository | |
| # then add this directory as a file | |
| # for every external chart, script the download as shown in localpath example, add to build target dependencies | |
| # use $ make build to download all dependencies, build packages and local repo index | |
| localpath: | |
| mkdir -p staging | |
| curl https://codeload.github.com/rancher/local-path-provisioner/tar.gz/v0.0.15 -o staging/localpath.tgz | |
| cd staging && tar -xzf localpath.tgz |
