#cats 14.04

[panelshowsource]

[audreywritesfantasy]

If you’re in Luxembourg or anywhere nearby and don’t have anything to do on the 13 & 14.04, come join us at Luxcon with Samantha Shannon, Lavie Tidhar, Cheryl Morgan, Peadar Ó Guilín, and many more! I’ll be moderating a few panels and talking on a few others (in 3 different languages 😳) so if you like fantasy and scifi, don't miss out!

We'll publish the schedule soon, but in the meantime, we've got a ton of fun panels on diversity and representation, sciency stuff with real sciency experts, an awesome RPG session with some of our guests, and a special panel about mischief and cats 👀

[mittensmorgul]

Mug Meta

Now we all know that Dean hardly ever turns down free food or drinks, even when Sam declines on his behalf. I mean, the cake in 10.15 that Dean wanted but Sam was like NO THANK YOU WE DON’T WANT CAKE and then gave Dean a facial expression to enforce that:

Dean sneaked a bit of icing anyway, but yeesh... So in 14.04 I find it interesting that Sam didn’t trod on Dean’s acceptance of a mug of cider even if he didn’t really want it himself. But I also find Stuart’s mom’s choice of mugs here interesting, as well:

She placed them down like this between Sam and Dean, with the Flash mug-- i.e. the one that probably belonged to her son-- in front of Sam, and a mug covered in cats-- i.e. the one that was most likely to be HER mug, the older woman wearing a blouse covered in pretty pink and blue roses, the mother-- in front of Dean.

And as soon as her back is turned, Dean goes out of his way to claim the Kid’s Mug, leaving the Mom Mug for Sam.

And I mean there’s nothing inherently “grown up” about having a mug covered with cartoon kitties, or inherently childish about having a Flash mug. But the fact we’re being led to assume the comic book character mug does indeed belong to the “adult child” in the house, it’s inviting this comparison.

I mean, it could be as simple as Dean not wanting to use the cat mug because he’s canonically allergic to cats, but through the rest of this episode we saw him enjoying indulging in not having to be the parental figure for once, enjoying Halloween like a kid, getting into the costumes, and commenting on Sam’s lack of enjoyment in the holiday and inability to see it from a perspective of childhood fun, so I’m enjoying yet another reminder that Dean is actively choosing the superhero fun thing again.

[smotherkin]

Midori (Guitar Hero) Fiction-Kin Fashion

Crescent Cat Lace Locks - $13.50 Large Hair Bow Clip/Band - $13.48 Super Stripe Sock Dream Thigh Highs - $11.00 Colorful Hair Extension - $7.00 “Kawaii Cup Noodles” Enamel Pin - $13.62 Fluffy Pink Dangle Earrings - $8.14 “Aquagotchi” Acrylic Keychain - $14.04 Pearl and Ribbon Necklace - $16.50 Chunky Clamp Bangle - $17.95 Yellow Pom Pom Elastics - $6.95

[shoo-ka-blog]

DropboxをCentOS 7で動かす（2019年2月時点の情報）

Dropboxは2018年10月にLinux版のシステム要件を情け容赦なく更新し、これまで動いていた環境を切り捨てた。主には

Ubuntu 14.04 以上、Fedora 21 以上 のオペレーティング システム

Glibc 2.19 以上

Dropbox フォルダは ext4 形式のハード ドライブかパーティションに配置すること

などの要件が新たに科され、対応するディストリビューションについては（本質的問題ではないので）ともかく、xfsやbtrfsなどext4以外のファイルシステム上で使えなくなった。これはもともとext4以外を標準とするディストリビューションや、宗教上の理由でext4以外を使いたいユーザーへの打撃となった。しかしこれに対してはいくつかのworkaroundが考案された（e.g. btrfsでDropboxを使う とか btrfs? Dropboxさん, あなたが見ているのはext4ですよ とか）。ただ私自身は諦めてext4でフォーマットし直したので、これらの有効性は確認していない。 何より致命的な問題はglibcのバージョンで、CentOS 7はglibc 2.17を採用しているから、ファイルシステム問題をクリアしてもCentOS 7では動作させられなくなった。なおこのシステム要件の更新直後は上記ファイルシステムの問題と同様にglibcのバージョンを騙してやるworkaround（e.g. 2018年版、CentOS 7 で Dropbox を使う）があったようだが、その後にDropboxがアップデートされ、少なくともglibc 2.18を呼ぶようになったみたいでこの方法もまた使えなくなった。 当然システムのglibcをアップデートしてしまうのは影響範囲が甚大で危険だから、Dropboxだけが使う新しいglibcを別に入れるのが比較的安全だとは思っていたが、新しいglibc自体のビルドに必要な要件をCentOS 7が満たしていないので、ちょっとてこずった。 同じようなことを試した人も既にいたが、何が違ってうまく行かないのか不明なので、取り敢えず手元でうまく行ったメモ。

Developer Toolset 7を入れる

新しいglibcをビルドするにはGCCなどのバージョンが古いため、Developer Toolsetを入れる。現在の最新版は7であるが、どんどん更新されているようなので新しいバージョンが出ているのかも知れない（現在はたまたま7だが、CentOSのバージョンと一致している、とかいう性格のものではない）。

$ sudo yum install centos-release-scl $ sudo yum install centos-release-scl patchelf $ sudo yum-config-manager --enable rhel-server-rhscl-7-rpms $ sudo yum install devtoolset-7 $ scl enable devtoolset-7 bash

新しいglibcを入れる

現在の最新版はglibc 2.29だが、試行錯誤の過程でglibc 2.27を入れた（別にゆかりんの誕生日だからと思ったわけじゃない）。 Developer Toolset 7であれば問題はないはずなので、本当は最新版を入れた方がよい気がする。（参考にしたサイト：Dropbox - glibc and file systems support）

$ tar xzvf glibc-2.27.tar.gz $ cd glibc-2.27 $ mkdir build $ cd build $ ../configure --prefix=/opt/glibc-2.27 $ make $ sudo make install

patchelf する

処理内容の想像はついているが、理解していない。Dropboxはしょっちゅうバージョンアップするので、最新のパスにする。バージョンアップした後にまたpatchelfする必要がある気がするが、まだそこまで確認していない方法は���の補足を参照。

（2019.02.23追記：Tumblrの仕様でsetの前のハイフン2個をダッシュに自動変換してしまうようなので、コピペの際にはご注意）

$ patchelf --set-interpreter /opt/glibc-2.27/lib/ld-2.27.so  ~/.dropbox-dist/dropbox-lnx.x86_64-66.4.84/dropbox $ patchelf --set-rpath /opt/glibc-2.27/lib ~/.dropbox-dist/dropbox-lnx.x86_64-66.4.84/dropbox

シンボリックリンクとかはる

（参考にしたサイト： CentOS7でDropBox glibc2.9以上でないと使えなくなった対応）

同サイトのglibcバージョン表記は誤記（2.7→2.17、2.9→2.19）だと思うが、取り敢えず気にしないことにする。

$ cd ~/.dropbox-dist/dropbox-lnx.x86_64-66.4.84/ $ ln -s /lib64/libgcc_s.so.1 $ ln -s /usr/lib64/libstdc++.so.6 $ ln -s /lib64/libz.so.1 $ ln -s /lib64/libgthread-2.0.so.0 $ ln -s /lib64/libglib-2.0.so.0

Dropboxを起動する

インストールから行う場合は公式サイト参照。

$ export LD_LIBRARY_PATH=~/.dropbox-dist/dropbox-lnx.x86_64-66.4.84:$LD_LIBRARY_PATH $ ~/.dropbox-dist/dropboxd

うまく行くのを確認したら、LD_LIBRARY_PATHを加えて起動するスクリプトでも用意するとよいかも。例えばこんな感じ？

#!/bin/sh export LD_LIBRARY_PATH=~/.dropbox-dist/dropbox-lnx.x86_64-`/usr/bin/cat ~/.dropbox-dist/VERSION`:$LD_LIBRARY_PATH exec ~/bin/dropbox.py "$@"

Dropboxアップデート時の補足（2019.02.23追記）

Dropboxのdaemonは新しいバージョンを自動的に探して自動的にアップデートするが、上記手順からしてこのアップデート機構はうまく動作せず、何らかの工夫が必要となる。放置しておくと、自動アップデートを試みた後、予想通り古いglibcを見に行ってしまう。

ImportError: /lib64/libc.so.6: version `GLIBC_2.18' not found (required by /tmp/.dropbox-dist-new-45n94tcl/.dropbox-dist/dropbox-lnx.x86_64-67.4.83/dbxlog._dbxlog.cpython-36m-x86_64-linux-gnu.so)

取り敢えず手動で回避しておいて、後から自動化する方法を考えることにする（以下の手順はscl enable devtoolset-7していない通常の環境下で差し支えない）。

$ dropbox stop $ dropbox update

アップデートそのものは途中まで成功するが、ここでも（当然）エラーが出るので、手動で処理する。

※上と同じでTumblrの仕様でsetの前のハイフン2個をダッシュに自動変換してしまうようなので、以下コピペの際にはご注意

$ dropbox stop $ cd ~/.dropbox-dist/dropbox-lnx.x86_64-`/usr/bin/cat ~/.dropbox-dist/VERSION` $ patchelf --set-interpreter /opt/glibc-2.27/lib/ld-2.27.so dropbox $ patchelf --set-rpath /opt/glibc-2.27/lib dropbox $ ln -s /lib64/libgcc_s.so.1 $ ln -s /usr/lib64/libstdc++.so.6 $ ln -s /lib64/libz.so.1 $ ln -s /lib64/libgthread-2.0.so.0 $ ln -s /lib64/libglib-2.0.so.0 $ dropbox start

（2019.05.03追記）最終的には自動化したいが、まだ実現してない。ちなみにアップデートを試みている際は

$ dropbox status Dropbox をアップ���レード中...

となるため、この返り値をキーにして自動化できるとは思うので、誰か実現したら教えろください。

（2019.09.07追記）アップデート自動化の方法は http://www.haijiso.com/pc-memo/1553154674 に記載した。

[gravelghosts]

spn fic: operation get-out-the-vote (gen, 4.8k)

Operation Get-Out-the-Vote; 14.04 coda, gen, 4.8k. Sam, Dean, various; character study plus humor.

In which Sam and Dean get out the vote, and also, because I couldn't help myself, there's a couple feelings.

Read on AO3.

It’s a sixteen-hour drive from Salem back to the bunker, and between food stops and a pause for some mutual shuteye at a truck stop near the Indiana border, November first is nearly over by the time the Iights of Mankato shake Sam out of his half-slumber in the Impala’s passenger seat.

Dean brakes down to 30 to pass through the town. The speed limit’s 35, but it’s front porches all along the highway, and sometimes people’s cats run out with no warning. Sam rubs his eyes against the glare of the Cenex’s all-night floodlights. Campaign signs bristle from the faded strips of roadside grass.

“Gettin’ close,” says Dean, keeping his eyes on the road. He drums a finger idly on the Impala’s steering wheel, even though the tape player’s off. Sam pushes himself upright, and hears his vertebrae make several alarming noises.

They’re getting too old for sleeping in cars. Maybe Sam can ask Cas for a tune-up, if he’s back from his hunting trip with Jack. Still, having two shifts of drivers beats hauling across the country by himself.

“Hey,” says Dean. They’re past town, but the signs still bloom like ghosts out of the night in the Impala’s headlights. Re-Elect Marshall, Kobach for Governor, Vote Kelly. “You voted yet?”

Sam rubs his eyes. “What?”

“You know.” Dean’s playing his right hand against the wheel now, drumming out some gentle rhythm between his last finger and his thumb. “Mid-term elections? Save the world crap? Thought you’d be all about that.”

Maybe he’s still sleeping. Sam pinches his thigh; it hurts. “Dean,” he says, “we’re hunters. We don’t legally exist. We don’t vote.”

Keep reading on AO3.

[amuawia]

Linux Upgrading Major Releases

As mentioned in a previous lesson, Ubuntu has stable, Long Term Support (LTS) releases.

You can check your release by typing

lsb_release -a

or

cat /etc/issue

lsb_release -a gives more nicely formatted output.

For any production application, I recommend only using the lates LTS version available when you’re building your server.

LTS

LTS releases are supported for 5 years, while regular releases are only supported for 9 months.

If you have a 14.04 LTS server and you want to upgrade it to 16.04, that would be called a major release upgrade.

LTS’s are

Enterprise Focused

Compatible with New Hardware

Thoroughly Tested

It’s helpful to understand a bit more about versioning.

Versioning

When developers fix bugs and add features to software, including Operating Systems, they have to keep track of what has been done.

There are loosely agreed upon ways of tracking changes using version control, or versioning.

Ubuntu Versioning

LTS versions are even numbered and have a .04 minor release number. 14.04 and 16.04 are consecutive LTS major releases.

A common model is a major release number, with 1 being the first “production”, followed by a period, with a minor version, followed by a period, then a revision number.

Ubuntu is a little different, using the year and month for the major and minor numbers, and a sequential number for the update or patch release number.

I’m running Ubuntu 16.04.3 LTS Server for the majority of the lessons in this course.

The number can be broken down as follows:

16.04.3

18 Year of Release

04 Month of Release

3 Sequential Update Number

18, being an even numbered major release, means it is an LTS release. All LTS releases have a . 04 minor release number because they’re always released in April. There could be several revisions before the next major release.

Release Cycle

If you’re managing a server, it is important to know the operating system is kept up to date regarding fixing bugs and security issues, as well as to know the organization managing the operating system is responsive to requests for new features.

Ubuntu has a regular patching and release cycle, and is actively supported by full time developers as a well as the open source community.

Releases are done every six months following a planned schedule.

do-release-upgrade

Eventually, your LTS version will become unsupported. Prior to that time, you can use the dorelease-upgrade command to upgrade your server to the next version.

You can, of course, still run

do-release-upgrade

after end of support, I just recommend planning ahead and doing it prior to end of support.

You should only do a release upgrade to the next supported version.

You could upgrade from 16.04 to 18.04, but not from 14.04 to 16.04.

If your server is too old to support this method, back up your data, do a clean build of the latest release, and restore your data to the new server.

16.04 to 18.04

The lesson has a video showing a release upgrade from 16.04. to 18.04.

You can’t upgrade to the next release until the first update has been done to it. For example, you can’t run

do-release-upgrade

to go from 16.04.x to 18.04.0. You’ll have to wait until 18.04.1 is released.

This is out of concern for stability in production environments.

By waiting for the first patch cycle, you’re more assured that the release upgrade won’t break anything.

[stock-filter]

Stock daily Filter Report for 2021/05/18 05-40-10

*******************Part 1.0 Big Cap Industry Overiew********************* big_industry_uptrending_count tickers industry Basic Materials 31 Communication Services 16 Consumer Cyclical 14 Consumer Defensive 21 Energy 24 Financial Services 57 Healthcare 28 Industrials 26 Real Estate 4 Technology 10 Utilities 5 unknown 3 **************************************** big_industry_downtrending_count tickers industry Communication Services 25 Consumer Cyclical 17 Consumer Defensive 5 Financial Services 9 Healthcare 18 Industrials 4 Real Estate 2 Technology 49 Utilities 5 *******************Part 1.1 Big Cap Long Entry SPAN MACD********************* big_long_signal_entry_span_macd Symbol Day Return Market Cap Long/Short score MACD Signal Count Market Value Span Signal Count industry 11 TM 1 0.0 big-cap Long NaN 1.0 6.920669e+07 4.0 Consumer Cyclical Mean Return: nan Mean Day/Week: inf Accuracy:nan *******************Part 1.2 Big Cap Short Entry SPAN MACD********************* big_short_signal_entry_span_macd Symbol Day Return Market Cap Long/Short score MACD Signal Count Market Value Span Signal Count industry 117 CP 2 -2.64 big-cap Short NaN -2.0 3.195980e+08 -2.0 Industrials Mean Return: -2.64 Mean Day/Week: 2.0 Accuracy:1.0 *******************Part 1.3 Big Cap Long Entry SPAN********************* big_long_signal_entry_span Symbol Day Return Market Cap Long/Short score MACD Signal Count Market Value Span Signal Count industry 202 YUMC 1 0.0 big-cap Long NaN 14.0 9.664463e+07 3.0 Consumer Cyclical 11 TM 1 0.0 big-cap Long NaN 1.0 6.920669e+07 4.0 Consumer Cyclical Mean Return: nan Mean Day/Week: inf Accuracy:nan *******************Part 1.4 Big Cap Short Entry SPAN********************* big_short_signal_entry_span Symbol Day Return Market Cap Long/Short score MACD Signal Count Market Value Span Signal Count industry 68 CNI 2 1.10 big-cap Short NaN -20.0 5.179968e+08 -5.0 Industrials 117 CP 2 -2.64 big-cap Short NaN -2.0 3.195980e+08 -2.0 Industrials Mean Return: -0.77 Mean Day/Week: 2.0 Accuracy:0.5 *******************Part 1.5 Big Cap Long Entry MACD********************* big_long_signal_entry_macd Symbol Day Return Market Cap Long/Short score MACD Signal Count Market Value Span Signal Count industry 33 C 3 2.81 big-cap Long NaN 3.0 1.102788e+09 78.0 Financial Services 280 STX 2 6.39 big-cap Long NaN 2.0 1.070729e+09 78.0 Technology 47 CAT 1 0.00 big-cap Long NaN 1.0 4.885634e+08 78.0 Industrials 46 SCHW 2 -0.34 big-cap Long NaN 2.0 3.801142e+08 78.0 Financial Services 325 NLOK 4 4.27 big-cap Long NaN 4.0 3.223791e+08 33.0 Technology 103 EMR 3 0.86 big-cap Long NaN 5.0 2.196521e+08 78.0 Industrials 342 CNP 1 0.00 big-cap Long NaN 1.0 1.808341e+08 46.0 Utilities 73 CME 3 0.55 big-cap Long NaN 3.0 1.626634e+08 78.0 Financial Services 367 MOS 2 1.56 big-cap Long NaN 2.0 1.564007e+08 78.0 Basic Materials 150 TRV 1 0.00 big-cap Long NaN 1.0 1.503068e+08 78.0 Financial Services 253 OKE 1 0.00 big-cap Long NaN 1.0 1.245287e+08 78.0 Energy 90 BAM 1 0.00 big-cap Long NaN 1.0 1.164250e+08 78.0 Financial Services 215 AVB 1 0.00 big-cap Long NaN 1.0 9.019699e+07 72.0 Real Estate 192 CPRT 2 -0.95 big-cap Long NaN 2.0 8.203814e+07 28.0 Industrials 11 TM 1 0.00 big-cap Long NaN 1.0 6.920669e+07 4.0 Consumer Cyclical 83 ABB 2 -1.14 big-cap Long NaN 2.0 6.890349e+07 51.0 Industrials 311 PFG 1 0.00 big-cap Long NaN 1.0 5.499844e+07 78.0 Financial Services 106 STLA 1 0.00 big-cap Long NaN 1.0 5.381161e+07 9.0 unknown 347 FNF 2 -0.57 big-cap Long NaN 2.0 5.327022e+07 49.0 Financial Services 200 FMX 1 0.00 big-cap Long NaN 1.0 1.631220e+07 45.0 Consumer Defensive Mean Return: 1.3439999999999999 Mean Day/Week: 3.5 Accuracy:0.6 *******************Part 1.6 Big Cap Short Entry MACD********************* big_short_signal_entry_macd Symbol Day Return Market Cap Long/Short score MACD Signal Count Market Value Span Signal Count industry 56 NIO 4 0.91 big-cap Short NaN -4.0 2.145851e+09 -58.0 Consumer Cyclical 9 PDD 5 -6.10 big-cap Short NaN -5.0 4.891185e+08 -52.0 Consumer Cyclical 117 CP 2 -2.64 big-cap Short NaN -2.0 3.195980e+08 -2.0 Industrials 61 NTES 5 -1.34 big-cap Short NaN -5.0 2.190264e+08 -39.0 Communication Services 226 WISH 3 10.40 big-cap Short NaN -3.0 1.326999e+08 -104.0 Consumer Cyclical 139 APTV 2 -0.10 big-cap Short NaN -5.0 1.174575e+08 -6.0 Consumer Cyclical 288 BMRN 5 2.18 big-cap Short NaN -5.0 3.865221e+07 -62.0 Healthcare Mean Return: 0.472857142857143 Mean Day/Week: 3.7142857142857144 Accuracy:0.5714285714285714 *******************Part 1.7 Big Cap Long Maintainance********************* big_long_signal_maintainance Symbol Day Return Market Cap Long/Short score MACD Signal Count Market Value Span Signal Count industry 6 BAC 8 1.76 big-cap Long NaN 8.0 1.347654e+09 78.0 Financial Services 104 NEM 11 14.04 big-cap Long NaN 47.0 1.300408e+09 32.0 Basic Materials 29 WFC 22 9.35 big-cap Long NaN 22.0 1.185095e+09 78.0 Financial Services 131 FCX 9 6.65 big-cap Long NaN 16.0 1.136066e+09 78.0 Basic Materials 4 PG 6 0.06 big-cap Long NaN 6.0 8.929463e+08 31.0 Consumer Defensive 2 JNJ 7 1.13 big-cap Long NaN 10.0 8.206310e+08 21.0 Healthcare 19 TMUS 9 4.57 big-cap Long NaN 34.0 7.576332e+08 32.0 Communication Services 134 GOLD 11 13.17 big-cap Long NaN 46.0 7.477827e+08 23.0 Basic Materials 36 CHTR 16 5.33 big-cap Long NaN 22.0 6.960634e+08 23.0 Communication Services 177 MPC 8 3.48 big-cap Long NaN 10.0 6.600447e+08 78.0 Energy 32 MS 8 1.54 big-cap Long NaN 10.0 6.301860e+08 78.0 Financial Services 53 GS 9 3.32 big-cap Long NaN 9.0 6.251816e+08 78.0 Financial Services 15 ABBV 13 5.35 big-cap Long NaN 23.0 5.902884e+08 22.0 Healthcare 154 ALL 37 19.51 big-cap Long NaN 52.0 5.588407e+08 55.0 Financial Services 292 NUE 10 17.62 big-cap Long NaN 10.0 5.391315e+08 65.0 Basic Materials 60 GILD 6 2.36 big-cap Long NaN 6.0 4.167595e+08 11.0 Healthcare 25 UPS 15 11.01 big-cap Long NaN 37.0 4.052675e+08 36.0 Industrials 183 BNTX 7 8.63 big-cap Long NaN 32.0 3.978572e+08 34.0 Healthcare 96 DD 9 5.42 big-cap Long NaN 10.0 3.865485e+08 24.0 Basic Materials 63 MDLZ 14 2.61 big-cap Long NaN 48.0 3.819986e+08 43.0 Consumer Defensive 81 SHW 30 9.58 big-cap Long NaN 46.0 3.605591e+08 40.0 Basic Materials 108 AON 12 1.53 big-cap Long NaN 12.0 3.542612e+08 78.0 Financial Services 109 COF 14 10.63 big-cap Long NaN 14.0 3.513745e+08 78.0 Financial Services 27 LIN 7 0.68 big-cap Long NaN 7.0 3.439083e+08 49.0 Basic Materials 170 EOG 8 10.53 big-cap Long NaN 8.0 3.261623e+08 78.0 Energy 54 CVS 14 11.66 big-cap Long NaN 23.0 3.156510e+08 38.0 Healthcare 294 DPZ 21 8.56 big-cap Long NaN 44.0 3.089646e+08 30.0 Consumer Cyclical 26 AZN 17 6.81 big-cap Long NaN 44.0 3.088398e+08 23.0 Healthcare 66 BP 9 2.40 big-cap Long NaN 9.0 3.075133e+08 65.0 Energy 72 CL 12 3.51 big-cap Long NaN 40.0 2.942715e+08 26.0 Consumer Defensive 240 IP 37 16.83 big-cap Long NaN 37.0 2.931757e+08 55.0 Consumer Cyclical 80 FDX 13 4.64 big-cap Long NaN 13.0 2.826095e+08 43.0 Industrials 78 USB 13 3.68 big-cap Long NaN 13.0 2.582257e+08 73.0 Financial Services 136 DOW 8 2.73 big-cap Long NaN 8.0 2.555882e+08 73.0 Basic Materials 162 KMI 13 8.51 big-cap Long NaN 13.0 2.489053e+08 78.0 Energy 84 PNC 13 5.25 big-cap Long NaN 13.0 2.468468e+08 78.0 Financial Services 102 NOC 13 5.79 big-cap Long NaN 54.0 2.419415e+08 51.0 Industrials 163 ORLY 37 10.90 big-cap Long NaN 53.0 2.366795e+08 48.0 Consumer Cyclical 144 GIS 8 -1.30 big-cap Long NaN 8.0 2.237212e+08 46.0 Consumer Defensive 187 WLTW 13 7.10 big-cap Long NaN 13.0 2.227997e+08 78.0 Financial Services 30 PM 26 6.63 big-cap Long NaN 26.0 2.196232e+08 73.0 Consumer Defensive 67 ANTM 23 5.65 big-cap Long NaN 55.0 2.196139e+08 52.0 Healthcare 194 WMB 11 6.95 big-cap Long NaN 11.0 2.187967e+08 78.0 Energy 152 ALXN 22 6.60 big-cap Long NaN 22.0 2.129294e+08 23.0 Healthcare 241 WPM 11 10.15 big-cap Long NaN 45.0 2.105367e+08 23.0 Basic Materials 231 SYF 11 7.32 big-cap Long NaN 11.0 2.086245e+08 78.0 unknown 142 BK 13 3.99 big-cap Long NaN 13.0 2.032827e+08 55.0 Financial Services 168 HSY 12 4.92 big-cap Long NaN 12.0 1.936978e+08 50.0 Consumer Defensive 101 ITUB 6 2.57 big-cap Long NaN 43.0 1.886070e+08 18.0 Financial Services 249 MLM 10 0.77 big-cap Long NaN 10.0 1.869984e+08 78.0 Basic Materials 52 GSK 8 4.37 big-cap Long NaN 47.0 1.827602e+08 23.0 Healthcare 261 AEM 6 6.81 big-cap Long NaN 43.0 1.809664e+08 11.0 Basic Materials 182 OTIS 43 14.65 big-cap Long NaN 55.0 1.765048e+08 48.0 Industrials 175 LYB 8 1.26 big-cap Long NaN 8.0 1.724142e+08 78.0 Basic Materials 197 DFS 16 10.91 big-cap Long NaN 16.0 1.701979e+08 78.0 Financial Services 165 PRU 24 10.59 big-cap Long NaN 24.0 1.694846e+08 78.0 Financial Services 16 BHP 6 -2.62 big-cap Long NaN 21.0 1.694604e+08 9.0 Basic Materials 160 AIG 8 2.86 big-cap Long NaN 8.0 1.674942e+08 78.0 Financial Services 270 HES 11 11.98 big-cap Long NaN 11.0 1.668323e+08 78.0 Energy 259 ET 14 21.23 big-cap Long NaN 14.0 1.646205e+08 73.0 Energy 35 RY 12 6.01 big-cap Long NaN 12.0 1.562256e+08 78.0 Financial Services 100 PGR 31 9.97 big-cap Long NaN 51.0 1.531357e+08 38.0 Financial Services 287 EXPD 9 6.27 big-cap Long NaN 9.0 1.465178e+08 55.0 Industrials 233 K 8 -1.74 big-cap Long NaN 8.0 1.462755e+08 44.0 Consumer Defensive 279 CFG 11 8.14 big-cap Long NaN 11.0 1.455191e+08 78.0 Financial Services 315 BEN 9 2.93 big-cap Long NaN 9.0 1.454435e+08 78.0 Financial Services 204 MT 8 1.98 big-cap Long NaN 8.0 1.429968e+08 78.0 Basic Materials 358 KL 7 6.94 big-cap Long NaN 44.0 1.413696e+08 23.0 Basic Materials 353 ICLR 17 3.71 big-cap Long NaN 36.0 1.386172e+08 23.0 Healthcare 212 FNV 27 12.72 big-cap Long NaN 47.0 1.354186e+08 33.0 Basic Materials 143 TROW 9 3.35 big-cap Long NaN 9.0 1.326906e+08 78.0 Financial Services 133 KHC 8 1.60 big-cap Long NaN 8.0 1.316743e+08 78.0 Consumer Defensive 179 ADM 16 12.16 big-cap Long NaN 16.0 1.294833e+08 78.0 Consumer Defensive 232 ATUS 6 -1.63 big-cap Long NaN 22.0 1.271796e+08 19.0 Communication Services 251 AKAM 8 2.98 big-cap Long NaN 40.0 1.250121e+08 9.0 Technology 269 KEY 13 6.55 big-cap Long NaN 13.0 1.214763e+08 78.0 Financial Services 105 BMO 13 6.21 big-cap Long NaN 13.0 1.212756e+08 78.0 Financial Services 297 ALLY 15 8.19 big-cap Long NaN 15.0 1.206621e+08 78.0 Financial Services 284 DISH 19 10.50 big-cap Long NaN 19.0 1.149972e+08 51.0 Communication Services 230 CHD 9 0.35 big-cap Long NaN 9.0 1.146404e+08 36.0 Consumer Defensive 236 VMC 24 10.63 big-cap Long NaN 24.0 1.087862e+08 78.0 Basic Materials 263 MTB 9 4.11 big-cap Long NaN 9.0 1.070486e+08 78.0 Financial Services 97 SCCO 6 -2.52 big-cap Long NaN 7.0 1.067310e+08 7.0 Basic Materials 201 CERN 6 -1.10 big-cap Long NaN 40.0 1.061690e+08 13.0 Healthcare 349 WRK 12 10.58 big-cap Long NaN 12.0 1.051598e+08 55.0 Consumer Cyclical 222 EFX 22 23.21 big-cap Long NaN 40.0 1.039511e+08 33.0 Industrials 227 CCEP 23 12.07 big-cap Long NaN 23.0 1.019502e+08 78.0 Consumer Defensive 238 GWW 23 15.01 big-cap Long NaN 58.0 1.009044e+08 43.0 Industrials 44 TD 13 5.51 big-cap Long NaN 13.0 9.045757e+07 78.0 Financial Services 348 LKQ 15 11.50 big-cap Long NaN 15.0 8.592423e+07 74.0 Consumer Cyclical 278 LNG 12 8.25 big-cap Long NaN 12.0 8.484899e+07 78.0 Energy 300 CE 11 5.77 big-cap Long NaN 11.0 8.453680e+07 61.0 Basic Materials 312 IT 18 16.72 big-cap Long NaN 18.0 8.268100e+07 78.0 Technology 203 MPLX 10 7.73 big-cap Long NaN 11.0 8.256766e+07 78.0 Energy 313 GPC 17 8.04 big-cap Long NaN 17.0 8.220484e+07 62.0 Consumer Cyclical 186 CNQ 7 2.19 big-cap Long NaN 7.0 8.168596e+07 78.0 Energy 323 AVY 31 14.86 big-cap Long NaN 31.0 8.141868e+07 78.0 Industrials 351 UHS 28 16.22 big-cap Long NaN 31.0 8.088138e+07 32.0 Healthcare 21 UL 12 3.94 big-cap Long NaN 47.0 8.085999e+07 26.0 Consumer Defensive 316 DVA 12 6.70 big-cap Long NaN 45.0 7.851275e+07 22.0 Healthcare 171 MSI 6 0.23 big-cap Long NaN 6.0 7.778137e+07 74.0 Technology 354 TAP 13 4.53 big-cap Long NaN 43.0 7.652935e+07 36.0 Consumer Defensive 132 TRP 32 8.44 big-cap Long NaN 50.0 7.642485e+07 53.0 Energy 18 NVO 6 5.53 big-cap Long NaN 25.0 7.582586e+07 21.0 Healthcare 198 FRC 16 5.06 big-cap Long NaN 16.0 7.578414e+07 78.0 Financial Services 246 NTRS 15 8.27 big-cap Long NaN 15.0 7.279538e+07 74.0 Financial Services 110 VOD 9 2.43 big-cap Long NaN 9.0 7.095709e+07 78.0 Communication Services 112 ABEV 8 6.93 big-cap Long NaN 8.0 6.777980e+07 24.0 Consumer Defensive 254 APO 18 8.69 big-cap Long NaN 23.0 6.610188e+07 24.0 Financial Services 314 EMN 13 10.98 big-cap Long NaN 13.0 6.530492e+07 78.0 Basic Materials 34 SNY 7 3.21 big-cap Long NaN 47.0 6.337629e+07 27.0 Healthcare 359 TXT 34 21.54 big-cap Long NaN 34.0 5.864916e+07 78.0 Industrials 137 BCE 13 3.68 big-cap Long NaN 13.0 5.492164e+07 51.0 Communication Services 28 BUD 21 10.37 big-cap Long NaN 43.0 5.426243e+07 27.0 Consumer Defensive 322 PKG 13 3.45 big-cap Long NaN 31.0 4.996691e+07 27.0 Consumer Cyclical 308 LBTYK 13 3.08 big-cap Long NaN 13.0 4.132963e+07 49.0 unknown 307 CINF 11 4.61 big-cap Long NaN 11.0 3.779557e+07 78.0 Financial Services 364 CBOE 11 5.48 big-cap Long NaN 11.0 3.537572e+07 64.0 Financial Services 138 CM 13 5.99 big-cap Long NaN 13.0 3.251652e+07 78.0 Financial Services 368 WLK 17 11.87 big-cap Long NaN 23.0 3.063868e+07 51.0 Basic Materials 169 BBVA 7 3.26 big-cap Long NaN 13.0 2.616115e+07 16.0 Financial Services 295 PBA 13 4.77 big-cap Long NaN 14.0 2.603103e+07 53.0 Energy 301 IMO 13 18.28 big-cap Long NaN 13.0 2.156440e+07 78.0 Energy 89 EQNR 9 5.38 big-cap Long NaN 14.0 1.828226e+07 25.0 Energy 118 AMX 7 1.05 big-cap Long NaN 7.0 1.797435e+07 28.0 Communication Services 153 CRH 8 1.59 big-cap Long NaN 8.0 1.691632e+07 37.0 Basic Materials 190 TU 6 0.65 big-cap Long NaN 13.0 1.392883e+07 9.0 Communication Services 158 LYG 13 7.00 big-cap Long NaN 13.0 1.317990e+07 78.0 Financial Services 127 NGG 12 4.54 big-cap Long NaN 45.0 1.198044e+07 32.0 Utilities 148 LBRDA 16 3.67 big-cap Long NaN 22.0 9.674362e+06 23.0 Communication Services 216 RCI 11 3.05 big-cap Long NaN 26.0 9.648078e+06 32.0 Communication Services 369 RDY 13 4.41 big-cap Long NaN 36.0 9.263952e+06 23.0 Healthcare 289 KB 7 -2.59 big-cap Long NaN 7.0 6.148786e+06 51.0 Financial Services 267 GRFS 7 2.59 big-cap Long NaN 43.0 4.496814e+06 24.0 Healthcare 116 AMOV 6 0.07 big-cap Long NaN 7.0 3.070830e+04 20.0 Communication Services 277 VAR 13 0.21 big-cap Long NaN 13.0 0.000000e+00 56.0 Healthcare Mean Return: 6.495808823529412 Mean Day/Week: 13.617647058823529 Accuracy:0.9485294117647058 *******************Part 1.8 Big Cap Short Maintainance********************* big_short_signal_maintainance Symbol Day Return Market Cap Long/Short score MACD Signal Count Market Value Span Signal Count industry 40 ABNB 8 -14.36 big-cap Short NaN -57.0 5.255200e+09 -29.0 Communication Services 0 BABA 6 -3.71 big-cap Short NaN -6.0 4.023565e+09 -46.0 Consumer Cyclical 59 BIDU 16 -13.02 big-cap Short NaN -55.0 1.541857e+09 -38.0 Communication Services 7 NFLX 9 -1.33 big-cap Short NaN -18.0 1.304980e+09 -19.0 Communication Services 159 VIAC 11 -3.06 big-cap Short NaN -37.0 1.269740e+09 -36.0 Communication Services 114 CVNA 6 -6.22 big-cap Short NaN -7.0 1.262643e+09 -9.0 Consumer Cyclical 98 ROKU 11 -5.73 big-cap Short NaN -11.0 1.147706e+09 -52.0 Communication Services 128 TWTR 11 -3.43 big-cap Short NaN -21.0 1.120045e+09 -14.0 Communication Services 1 TSM 12 -5.86 big-cap Short NaN -23.0 1.107300e+09 -46.0 Technology 79 PLTR 9 -1.85 big-cap Short NaN -9.0 1.012676e+09 -59.0 Technology 62 SNOW 8 7.29 big-cap Short NaN -8.0 9.792241e+08 -137.0 Technology 49 UBER 8 2.23 big-cap Short NaN -19.0 8.274443e+08 -13.0 Technology 23 JD 10 -10.51 big-cap Short NaN -56.0 7.914932e+08 -50.0 Consumer Cyclical 58 SNAP 10 -2.96 big-cap Short NaN -10.0 7.750853e+08 -21.0 Communication Services 224 DKNG 8 -16.52 big-cap Short NaN -36.0 7.614519e+08 -25.0 Consumer Cyclical 13 AVGO 6 1.02 big-cap Short NaN -21.0 6.916649e+08 -12.0 Technology 87 TWLO 10 -13.00 big-cap Short NaN -10.0 6.846716e+08 -13.0 Communication Services 305 FUTU 6 4.04 big-cap Short NaN -20.0 6.533986e+08 -20.0 Financial Services 140 TTD 8 -14.04 big-cap Short NaN -8.0 5.906204e+08 -12.0 Technology 51 MELI 7 -9.84 big-cap Short NaN -7.0 4.876052e+08 -54.0 Consumer Cyclical 126 BILI 8 -4.59 big-cap Short NaN -8.0 4.441104e+08 -43.0 Communication Services 135 TDOC 10 -13.52 big-cap Short NaN -10.0 3.969870e+08 -53.0 Healthcare 345 BYND 10 -19.05 big-cap Short NaN -10.0 3.964335e+08 -48.0 Consumer Defensive 252 NVAX 8 -18.26 big-cap Short NaN -9.0 3.916017e+08 -13.0 Healthcare 115 TME 13 -14.59 big-cap Short NaN -38.0 3.530441e+08 -38.0 Communication Services 209 ENPH 11 -13.54 big-cap Short NaN -11.0 3.410594e+08 -54.0 Technology 196 ETSY 9 -9.48 big-cap Short NaN -20.0 3.143524e+08 -21.0 Consumer Cyclical 235 FTCH 12 -18.19 big-cap Short NaN -59.0 3.077686e+08 -39.0 Consumer Cyclical 172 EDU 6 -13.97 big-cap Short NaN -6.0 3.067649e+08 -45.0 Consumer Defensive 275 PENN 15 -12.34 big-cap Short NaN -43.0 2.931614e+08 -32.0 Consumer Cyclical 76 ILMN 12 -3.36 big-cap Short NaN -12.0 2.863427e+08 -37.0 Healthcare 145 XPEV 12 -12.61 big-cap Short NaN -12.0 2.857914e+08 -73.0 Consumer Cyclical 82 SPOT 12 -11.82 big-cap Short NaN -12.0 2.834692e+08 -57.0 Communication Services 157 Z 14 -20.09 big-cap Short NaN -57.0 2.731020e+08 -42.0 Communication Services 149 RNG 9 -20.19 big-cap Short NaN -9.0 2.679455e+08 -53.0 Technology 119 DOCU 9 -4.86 big-cap Short NaN -9.0 2.526250e+08 -13.0 Technology 217 COUP 8 -3.80 big-cap Short NaN -8.0 2.346587e+08 -53.0 Technology 285 QS 15 -29.29 big-cap Short NaN -38.0 2.295430e+08 -137.0 Consumer Cyclical 185 ZS 10 -6.93 big-cap Short NaN -10.0 2.235545e+08 -53.0 Technology 130 U 6 6.40 big-cap Short NaN -6.0 2.195194e+08 -70.0 Technology 129 CHWY 9 -5.23 big-cap Short NaN -9.0 2.180503e+08 -53.0 Consumer Cyclical 213 TTWO 11 -1.14 big-cap Short NaN -11.0 2.115964e+08 -59.0 Communication Services 299 LYFT 8 0.23 big-cap Short NaN -38.0 2.066083e+08 -13.0 Technology 111 TAL 8 -14.29 big-cap Short NaN -8.0 2.049622e+08 -48.0 Consumer Defensive 310 RUN 10 -6.20 big-cap Short NaN -10.0 2.048686e+08 -61.0 Technology 329 SPCE 31 -53.30 big-cap Short NaN -59.0 1.992493e+08 -51.0 Industrials 223 MKTX 9 -0.06 big-cap Short NaN -16.0 1.752911e+08 -20.0 Financial Services 334 CHGG 10 -9.08 big-cap Short NaN -10.0 1.743671e+08 -53.0 Consumer Defensive 69 BEKE 11 -2.66 big-cap Short NaN -11.0 1.694682e+08 -53.0 Real Estate 260 IQ 35 -24.42 big-cap Short NaN -38.0 1.587914e+08 -37.0 Communication Services 355 BILL 6 -2.39 big-cap Short NaN -11.0 1.563225e+08 -14.0 Technology 184 SPLK 13 -10.95 big-cap Short NaN -13.0 1.479592e+08 -137.0 Technology 220 MDB 9 -2.37 big-cap Short NaN -9.0 1.412275e+08 -52.0 Technology 225 HOLX 13 -5.50 big-cap Short NaN -14.0 1.342474e+08 -20.0 Healthcare 343 RGEN 6 -5.33 big-cap Short NaN -9.0 1.300023e+08 -10.0 Healthcare 237 GDS 7 2.83 big-cap Short NaN -7.0 1.294697e+08 -53.0 Technology 304 OPEN 8 -12.62 big-cap Short NaN -8.0 1.267127e+08 -39.0 Real Estate 331 FSLY 10 -27.92 big-cap Short NaN -10.0 1.254387e+08 -62.0 Technology 332 CRSP 7 1.81 big-cap Short NaN -7.0 1.252840e+08 -60.0 Healthcare 286 SEDG 10 0.27 big-cap Short NaN -10.0 1.209546e+08 -14.0 Technology 361 NRG 20 -9.14 big-cap Short NaN -43.0 1.170027e+08 -43.0 Utilities 327 CREE 12 -8.83 big-cap Short NaN -13.0 1.120211e+08 -13.0 Technology 218 PAYC 9 -5.26 big-cap Short NaN -9.0 1.118933e+08 -12.0 Technology 214 STNE 8 -2.71 big-cap Short NaN -8.0 1.108305e+08 -52.0 Technology 320 AVLR 8 -2.41 big-cap Short NaN -8.0 1.096110e+08 -60.0 Technology 242 GDRX 7 -12.20 big-cap Short NaN -7.0 1.057966e+08 -52.0 Healthcare 243 ZI 9 -14.66 big-cap Short NaN -9.0 1.039131e+08 -11.0 Technology 211 EXAS 10 -19.86 big-cap Short NaN -10.0 1.031566e+08 -13.0 Healthcare 337 CABO 9 1.04 big-cap Short NaN -9.0 9.925183e+07 -67.0 Communication Services 124 RKT 8 -6.55 big-cap Short NaN -40.0 9.623084e+07 -24.0 Financial Services 244 CTLT 8 -3.89 big-cap Short NaN -9.0 9.494583e+07 -12.0 Healthcare 274 CTXS 11 -5.32 big-cap Short NaN -21.0 9.172355e+07 -13.0 Technology 121 LU 15 -9.66 big-cap Short NaN -60.0 9.034823e+07 -46.0 Financial Services 340 KC 9 -11.98 big-cap Short NaN -9.0 8.407680e+07 -43.0 Technology 264 PAGS 10 -3.69 big-cap Short NaN -10.0 7.803705e+07 -50.0 Technology 370 PLAN 7 -2.54 big-cap Short NaN -7.0 7.169381e+07 -57.0 Technology 302 MASI 10 -4.65 big-cap Short NaN -10.0 6.966110e+07 -60.0 Healthcare 31 SNE 9 -2.69 big-cap Short NaN -17.0 6.551296e+07 -14.0 Technology 293 APPN 13 -42.28 big-cap Short NaN -61.0 6.076151e+07 -53.0 Technology 317 ESTC 9 -1.36 big-cap Short NaN -9.0 6.028789e+07 -54.0 Technology 291 CGC 11 -9.45 big-cap Short NaN -61.0 5.702616e+07 -42.0 Healthcare 335 IPGP 10 3.87 big-cap Short NaN -10.0 4.734393e+07 -12.0 Technology 156 ZG 14 -21.05 big-cap Short NaN -57.0 4.071116e+07 -42.0 Communication Services 338 FFIV 6 -1.01 big-cap Short NaN -22.0 3.770274e+07 -14.0 Technology 256 ALNY 10 3.32 big-cap Short NaN -10.0 3.315281e+07 -53.0 Healthcare 281 LSXMA 6 -1.74 big-cap Short NaN -23.0 3.103644e+07 -11.0 Communication Services 357 PCTY 7 -5.14 big-cap Short NaN -9.0 2.908725e+07 -11.0 Technology 326 QGEN 11 -1.92 big-cap Short NaN -13.0 2.110686e+07 -57.0 Healthcare 330 BEP 20 -7.69 big-cap Short NaN -20.0 1.320417e+07 -59.0 Utilities 341 ENIA 12 -2.43 big-cap Short NaN -24.0 1.189883e+07 -18.0 Utilities 321 ERIE 12 -4.97 big-cap Short NaN -12.0 1.144492e+07 -52.0 Financial Services Mean Return: -8.242967032967032 Mean Day/Week: 10.32967032967033 Accuracy:0.8681318681318682 ************************************** ************************************** ************************************** *******************Part 2.0 Small Cap Industry Overiew********************* small_industry_uptrending_count tickers industry Basic Materials 16 Communication Services 3 Consumer Cyclical 8 Consumer Defensive 4 Energy 7 Financial Services 18 Healthcare 8 Industrials 14 Real Estate 7 Technology 4 Utilities 4 unknown 1 **************************************** small_industry_downtrending_count tickers industry Communication Services 5 Consumer Cyclical 3 Consumer Defensive 1 Financial Services 3 Healthcare 27 Industrials 6 Real Estate 3 Technology 32 Utilities 6 unknown 1 *******************Part 2.1 Small Cap Long Entry SPAN MACD********************* small_long_signal_entry_span_macd Empty DataFrame Columns: [Symbol, Day, Return, Market Cap, Long/Short, score, MACD Signal Count, Market Value, Span Signal Count, industry] Index: [] Mean Return: nan Mean Day/Week: nan Accuracy:nan *******************Part 2.2 Small Cap Short Entry SPAN MACD********************* small_short_signal_entry_span_macd Empty DataFrame Columns: [Symbol, Day, Return, Market Cap, Long/Short, score, MACD Signal Count, Market Value, Span Signal Count, industry] Index: [] Mean Return: nan Mean Day/Week: nan Accuracy:nan *******************Part 2.3 Small Cap Long Entry SPAN********************* small_long_signal_entry_span Empty DataFrame Columns: [Symbol, Day, Return, Market Cap, Long/Short, score, MACD Signal Count, Market Value, Span Signal Count, industry] Index: [] Mean Return: nan Mean Day/Week: nan Accuracy:nan *******************Part 2.4 Small Cap Short Entry SPAN********************* small_short_signal_entry_span Empty DataFrame Columns: [Symbol, Day, Return, Market Cap, Long/Short, score, MACD Signal Count, Market Value, Span Signal Count, industry] Index: [] Mean Return: nan Mean Day/Week: nan Accuracy:nan *******************Part 2.5 Small Cap Long Entry MACD********************* small_long_signal_entry_macd Symbol Day Return Market Cap Long/Short score MACD Signal Count Market Value Span Signal Count industry 495 HOG 1 0.00 small-cap Long NaN 1.0 2.732360e+08 34.0 Consumer Cyclical 516 PBCT 2 0.31 small-cap Long NaN 2.0 7.184695e+07 78.0 Financial Services 397 AOS 3 -0.25 small-cap Long NaN 3.0 6.944381e+07 74.0 Industrials 475 VRT 1 0.00 small-cap Long NaN 1.0 5.963411e+07 32.0 Industrials 531 FFIN 2 0.02 small-cap Long NaN 2.0 2.807066e+07 78.0 Financial Services 542 KT 5 1.58 small-cap Long NaN 5.0 6.897516e+06 66.0 Communication Services 391 KOF 2 0.04 small-cap Long NaN 2.0 6.104252e+06 30.0 Consumer Defensive Mean Return: 0.34 Mean Day/Week: 3.2 Accuracy:0.8 *******************Part 2.6 Small Cap Short Entry MACD********************* small_short_signal_entry_macd Symbol Day Return Market Cap Long/Short score MACD Signal Count Market Value Span Signal Count industry 453 DQ 4 -0.55 small-cap Short NaN -4.0 1.128816e+08 -42.0 Technology 482 IOVA 5 0.11 small-cap Short NaN -5.0 6.980396e+07 -60.0 Healthcare 501 PRLB 4 3.36 small-cap Short NaN -4.0 3.569680e+07 -60.0 Industrials 552 BHVN 4 3.10 small-cap Short NaN -4.0 1.851495e+07 -77.0 Healthcare 538 CERT 3 -3.26 small-cap Short NaN -3.0 1.345438e+07 -12.0 Healthcare 416 DNLI 4 4.81 small-cap Short NaN -4.0 1.240720e+07 -68.0 Healthcare 549 ABCM 1 0.00 small-cap Short NaN -1.0 1.400840e+06 -10.0 Healthcare Mean Return: 1.2616666666666667 Mean Day/Week: 4.166666666666667 Accuracy:0.3333333333333333 *******************Part 2.7 Small Cap Long Maintaiance********************* small_long_signal_maintainance Symbol Day Return Market Cap Long/Short score MACD Signal Count Market Value Span Signal Count industry 373 TECK 7 2.50 small-cap Long NaN 22.0 2.319597e+08 24.0 Basic Materials 449 STLD 15 16.54 small-cap Long NaN 15.0 1.882248e+08 72.0 Basic Materials 386 IRM 7 5.44 small-cap Long NaN 7.0 1.374468e+08 78.0 Real Estate 520 CCJ 7 1.61 small-cap Long NaN 9.0 1.211298e+08 78.0 Energy 443 RS 13 4.48 small-cap Long NaN 13.0 9.304132e+07 78.0 Basic Materials 401 GFI 7 11.56 small-cap Long NaN 7.0 9.130774e+07 32.0 Basic Materials 507 MTZ 15 15.65 small-cap Long NaN 15.0 8.994532e+07 78.0 Industrials 407 JAZZ 7 1.30 small-cap Long NaN 8.0 8.664597e+07 9.0 Healthcare 491 POST 37 10.68 small-cap Long NaN 51.0 8.596418e+07 55.0 Consumer Defensive 390 BG 19 8.13 small-cap Long NaN 19.0 8.162001e+07 78.0 Consumer Defensive 426 CMA 12 5.90 small-cap Long NaN 12.0 7.947764e+07 78.0 Financial Services 392 CF 13 10.44 small-cap Long NaN 14.0 7.902914e+07 78.0 Basic Materials 470 BERY 10 6.92 small-cap Long NaN 10.0 7.834362e+07 70.0 Consumer Cyclical 400 LNC 7 1.36 small-cap Long NaN 7.0 7.637738e+07 78.0 Financial Services 437 JLL 10 6.14 small-cap Long NaN 10.0 7.521225e+07 78.0 Real Estate 436 CSL 45 19.88 small-cap Long NaN 49.0 7.473937e+07 50.0 Industrials 458 RGLD 8 6.98 small-cap Long NaN 35.0 7.225749e+07 33.0 Basic Materials 424 NLSN 7 1.67 small-cap Long NaN 7.0 6.965968e+07 78.0 Industrials 487 OSK 9 5.48 small-cap Long NaN 9.0 6.817260e+07 78.0 Industrials 481 DXC 17 14.75 small-cap Long NaN 34.0 6.753392e+07 37.0 Technology 473 SEE 27 19.78 small-cap Long NaN 50.0 6.614530e+07 50.0 Consumer Cyclical 519 JHG 19 12.39 small-cap Long NaN 32.0 5.773255e+07 31.0 Financial Services 381 MMP 11 6.65 small-cap Long NaN 28.0 5.551481e+07 31.0 Energy 539 THC 15 14.83 small-cap Long NaN 15.0 5.268921e+07 78.0 Healthcare 484 TRGP 15 14.61 small-cap Long NaN 15.0 5.191358e+07 78.0 Energy 433 ATH 23 14.13 small-cap Long NaN 23.0 4.420200e+07 78.0 Financial Services 385 HSIC 19 11.25 small-cap Long NaN 45.0 4.094818e+07 27.0 Healthcare 429 AFG 8 1.06 small-cap Long NaN 8.0 4.072060e+07 76.0 Financial Services 534 LEG 24 16.09 small-cap Long NaN 24.0 3.926789e+07 56.0 Consumer Cyclical 404 PHYS 6 1.51 small-cap Long NaN 31.0 3.800701e+07 11.0 unknown 499 PAA 6 5.91 small-cap Long NaN 13.0 3.361960e+07 17.0 Energy 478 TFII 15 12.30 small-cap Long NaN 15.0 2.817797e+07 78.0 Industrials 529 PSXP 8 4.43 small-cap Long NaN 58.0 2.547921e+07 53.0 Energy 528 ORI 31 16.59 small-cap Long NaN 53.0 2.456863e+07 78.0 Financial Services 512 SON 13 5.24 small-cap Long NaN 13.0 2.424985e+07 51.0 Consumer Cyclical 498 WES 13 6.83 small-cap Long NaN 13.0 2.251321e+07 78.0 Energy 463 EXEL 7 0.56 small-cap Long NaN 7.0 2.051694e+07 26.0 Healthcare 548 MAN 29 18.34 small-cap Long NaN 29.0 1.936375e+07 78.0 Industrials 460 SC 29 25.39 small-cap Long NaN 29.0 1.903237e+07 74.0 Financial Services 500 SRCL 14 12.42 small-cap Long NaN 31.0 1.694847e+07 26.0 Industrials 513 CFR 14 5.71 small-cap Long NaN 14.0 1.643883e+07 78.0 Financial Services 402 VEDL 12 11.11 small-cap Long NaN 12.0 1.579212e+07 78.0 Basic Materials 415 PSO 7 4.00 small-cap Long NaN 7.0 5.296795e+06 78.0 Communication Services 462 ICL 11 0.95 small-cap Long NaN 11.0 7.872258e+05 78.0 Basic Materials Mean Return: 9.079318181818183 Mean Day/Week: 14.727272727272727 Accuracy:1.0 *******************Part 2.8 Small Cap Short Maintaiance********************* small_short_signal_maintainance Symbol Day Return Market Cap Long/Short score MACD Signal Count Market Value Span Signal Count industry 467 MSTR 22 -32.12 small-cap Short NaN -58.0 3.849736e+08 -39.0 Technology 412 LMND 8 -1.63 small-cap Short NaN -8.0 1.513056e+08 -54.0 Financial Services 457 FCEL 15 -24.21 small-cap Short NaN -62.0 1.236527e+08 -44.0 Industrials 541 APPS 8 -3.72 small-cap Short NaN -51.0 1.193133e+08 -22.0 Technology 514 HAE 21 -24.79 small-cap Short NaN -21.0 1.151971e+08 -52.0 Healthcare 479 CCIV 11 -7.99 small-cap Short NaN -56.0 1.148837e+08 -35.0 Financial Services 540 BIGC 8 -3.40 small-cap Short NaN -8.0 1.072401e+08 -65.0 Technology 375 VST 13 -6.75 small-cap Short NaN -14.0 1.032008e+08 -56.0 Utilities 388 BFAM 12 -6.68 small-cap Short NaN -27.0 9.768256e+07 -21.0 Consumer Cyclical 396 IIVI 12 -4.54 small-cap Short NaN -12.0 9.430571e+07 -53.0 Technology 545 ARRY 6 -39.80 small-cap Short NaN -6.0 9.382555e+07 -63.0 Technology 382 GWRE 7 -6.87 small-cap Short NaN -7.0 9.313150e+07 -60.0 Technology 431 FVRR 13 -22.29 small-cap Short NaN -13.0 9.147326e+07 -42.0 Communication Services 378 NVTA 11 -17.38 small-cap Short NaN -11.0 8.191845e+07 -64.0 Healthcare 374 BLDP 10 -12.23 small-cap Short NaN -10.0 7.612917e+07 -53.0 Industrials 409 FATE 8 0.32 small-cap Short NaN -8.0 7.260063e+07 -53.0 Healthcare 439 RDFN 8 -0.68 small-cap Short NaN -8.0 7.180711e+07 -45.0 Real Estate 440 YY 14 -10.73 small-cap Short NaN -52.0 7.103442e+07 -36.0 Communication Services 509 CLGX 9 -0.23 small-cap Short NaN -51.0 6.931836e+07 -34.0 Technology 408 WEX 6 -4.31 small-cap Short NaN -13.0 6.836345e+07 -13.0 Technology 488 CYBR 9 -2.08 small-cap Short NaN -9.0 6.701898e+07 -15.0 Technology 405 TWST 10 -16.11 small-cap Short NaN -10.0 6.364511e+07 -57.0 Healthcare 451 API 13 -24.67 small-cap Short NaN -13.0 6.324272e+07 -43.0 Technology 492 BE 8 -10.78 small-cap Short NaN -8.0 6.126988e+07 -57.0 Industrials 483 PSTG 15 -15.16 small-cap Short NaN -58.0 5.968749e+07 -42.0 Technology 418 SPWR 13 -19.85 small-cap Short NaN -63.0 5.778197e+07 -51.0 Technology 421 IONS 8 0.08 small-cap Short NaN -8.0 5.776300e+07 -53.0 Healthcare 419 NYT 29 -13.41 small-cap Short NaN -52.0 5.467926e+07 -48.0 Communication Services 430 AMWL 9 -12.11 small-cap Short NaN -9.0 5.270903e+07 -60.0 Healthcare 456 QTWO 8 -1.92 small-cap Short NaN -8.0 5.241883e+07 -54.0 Technology 517 TNDM 6 -2.38 small-cap Short NaN -7.0 4.973352e+07 -10.0 Healthcare 445 MLCO 7 -4.98 small-cap Short NaN -39.0 4.972582e+07 -13.0 Consumer Cyclical 468 ONEM 6 -14.39 small-cap Short NaN -6.0 4.904446e+07 -52.0 Healthcare 486 PACB 12 -22.98 small-cap Short NaN -59.0 4.752803e+07 -38.0 Healthcare 393 BHC 9 4.37 small-cap Short NaN -43.0 4.666334e+07 -10.0 Healthcare 403 SMAR 15 -13.80 small-cap Short NaN -20.0 4.626211e+07 -53.0 Technology 543 VNET 14 -16.54 small-cap Short NaN -64.0 4.612988e+07 -52.0 Technology 422 BB 12 -3.36 small-cap Short NaN -66.0 4.335365e+07 -52.0 Technology 441 ADPT 8 -5.64 small-cap Short NaN -8.0 4.298604e+07 -54.0 Healthcare 438 CHDN 8 -2.53 small-cap Short NaN -39.0 4.174250e+07 -18.0 Consumer Cyclical 533 UPWK 13 -13.66 small-cap Short NaN -21.0 4.155079e+07 -38.0 Industrials 417 LSPD 6 -0.92 small-cap Short NaN -10.0 4.112162e+07 -10.0 Technology 474 NCNO 11 -20.98 small-cap Short NaN -11.0 4.102969e+07 -59.0 Technology 546 SAIL 10 -5.89 small-cap Short NaN -10.0 3.717780e+07 -45.0 Technology 428 EXPI 24 -29.66 small-cap Short NaN -57.0 3.651959e+07 -39.0 Real Estate 489 NEP 8 -4.31 small-cap Short NaN -8.0 3.623152e+07 -12.0 Utilities 502 HUYA 13 -15.58 small-cap Short NaN -55.0 3.611557e+07 -39.0 Communication Services 532 INSP 6 -6.38 small-cap Short NaN -9.0 3.527177e+07 -9.0 Healthcare 471 TGTX 11 -24.00 small-cap Short NaN -38.0 3.521442e+07 -46.0 Healthcare 535 SDC 9 -4.41 small-cap Short NaN -9.0 3.480993e+07 -63.0 Healthcare 442 BL 8 -0.94 small-cap Short NaN -8.0 3.407670e+07 -60.0 Technology 485 SDGR 9 -10.87 small-cap Short NaN -9.0 3.366538e+07 -52.0 Healthcare 521 VRNS 11 -14.17 small-cap Short NaN -11.0 3.294067e+07 -43.0 Technology 490 MDLA 7 -9.21 small-cap Short NaN -7.0 3.257545e+07 -51.0 Technology 525 CRUS 11 1.91 small-cap Short NaN -12.0 2.711634e+07 -12.0 Technology 448 SHC 10 -10.73 small-cap Short NaN -10.0 2.551776e+07 -42.0 Healthcare 524 FROG 8 -12.18 small-cap Short NaN -8.0 2.497386e+07 -60.0 Technology 384 BEPC 13 -6.33 small-cap Short NaN -13.0 2.393548e+07 -137.0 Utilities 497 NEO 9 -10.40 small-cap Short NaN -9.0 2.185362e+07 -15.0 Healthcare 472 KOD 8 -17.16 small-cap Short NaN -8.0 2.100246e+07 -63.0 Healthcare 465 RCM 9 -0.50 small-cap Short NaN -9.0 2.081186e+07 -11.0 Healthcare 480 ORA 10 -4.36 small-cap Short NaN -10.0 1.945322e+07 -58.0 Utilities 530 NATI 11 -2.11 small-cap Short NaN -12.0 1.896272e+07 -12.0 Technology 459 ANGI 8 -10.86 small-cap Short NaN -11.0 1.882129e+07 -18.0 Communication Services 466 DCT 12 -11.76 small-cap Short NaN -12.0 1.770736e+07 -42.0 Technology 522 ALGM 13 -5.69 small-cap Short NaN -13.0 1.757418e+07 -57.0 Technology 553 POWI 6 -2.30 small-cap Short NaN -10.0 1.681796e+07 -52.0 Technology 504 CWEN 7 -3.29 small-cap Short NaN -7.0 1.473402e+07 -62.0 Utilities 551 ENIC 13 -6.78 small-cap Short NaN -15.0 9.358688e+06 -15.0 Utilities 455 ALLK 8 1.73 small-cap Short NaN -8.0 8.279369e+06 -60.0 Healthcare 537 APPF 9 -3.17 small-cap Short NaN -9.0 7.849215e+06 -57.0 Technology 496 FIZZ 13 -6.40 small-cap Short NaN -13.0 7.806649e+06 -47.0 Consumer Defensive 376 HGH 8 0.23 small-cap Short NaN -18.0 7.344918e+05 -22.0 unknown Mean Return: -9.580821917808219 Mean Day/Week: 10.58904109589041 Accuracy:0.9178082191780822 ************************************** ************************************** ************************************** *******************Part 3.0 Penny Cap Industry Overiew********************* penny_industry_uptrending_count tickers industry Basic Materials 35 Communication Services 6 Consumer Cyclical 33 Consumer Defensive 13 Energy 23 Financial Services 47 Healthcare 18 Industrials 40 Real Estate 6 Technology 11 unknown 2 **************************************** penny_industry_downtrending_count tickers industry Basic Materials 6 Communication Services 15 Consumer Cyclical 23 Consumer Defensive 10 Energy 1 Financial Services 23 Healthcare 102 Industrials 16 Real Estate 15 Technology 67 Utilities 1 unknown 1 *******************Part 3.1 Penny Cap Long Entry SPAN MACD********************* penny_long_signal_entry_span_macd Symbol Day Return Market Cap Long/Short score MACD Signal Count Market Value Span Signal Count industry 1057 PLCE 1 0.00 penny-cap Long NaN 1.0 2.249456e+08 2.0 Consumer Cyclical 583 HLI 4 5.32 penny-cap Long NaN 4.0 2.142905e+07 4.0 Financial Services 860 ENLC 2 3.78 penny-cap Long NaN 2.0 1.195325e+07 2.0 Energy 914 MGRC 1 0.00 penny-cap Long NaN 1.0 6.581786e+06 3.0 Industrials 780 NNI 1 0.00 penny-cap Long NaN 1.0 3.711040e+06 3.0 Financial Services Mean Return: 4.55 Mean Day/Week: 4.5 Accuracy:1.0 *******************Part 3.2 Penny Cap Short Entry SPAN MACD********************* penny_short_signal_entry_span_macd Symbol Day Return Market Cap Long/Short score MACD Signal Count Market Value Span Signal Count industry 928 HRTX 2 -2.17 penny-cap Short NaN -3.0 3.062553e+07 -3.0 Healthcare 709 CPA 3 3.68 penny-cap Short NaN -3.0 2.522549e+07 -5.0 Industrials 946 ARQT 1 0.00 penny-cap Short NaN -3.0 8.001448e+06 -5.0 Healthcare 810 GCMG 3 2.73 penny-cap Short NaN -3.0 3.372502e+06 -5.0 Financial Services Mean Return: 1.4133333333333333 Mean Day/Week: 3.0 Accuracy:0.3333333333333333 *******************Part 3.3 Penny Cap Long Entry SPAN********************* penny_long_signal_entry_span Symbol Day Return Market Cap Long/Short score MACD Signal Count Market Value Span Signal Count industry 681 APLS 1 0.00 penny-cap Long NaN 23.0 3.292365e+08 1.0 Healthcare 1057 PLCE 1 0.00 penny-cap Long NaN 1.0 2.249456e+08 2.0 Consumer Cyclical 690 IGT 5 10.10 penny-cap Long NaN 13.0 3.630688e+07 5.0 Consumer Cyclical 786 MDRX 2 0.59 penny-cap Long NaN 22.0 2.193547e+07 5.0 Healthcare 583 HLI 4 5.32 penny-cap Long NaN 4.0 2.142905e+07 4.0 Financial Services 860 ENLC 2 3.78 penny-cap Long NaN 2.0 1.195325e+07 2.0 Energy 763 PJT 2 0.11 penny-cap Long NaN 24.0 6.860261e+06 5.0 Financial Services 914 MGRC 1 0.00 penny-cap Long NaN 1.0 6.581786e+06 3.0 Industrials 870 RNST 2 -0.33 penny-cap Long NaN 9.0 4.211927e+06 3.0 Financial Services 780 NNI 1 0.00 penny-cap Long NaN 1.0 3.711040e+06 3.0 Financial Services 901 GCP 2 1.03 penny-cap Long NaN 24.0 3.442549e+06 3.0 Basic Materials 936 DKL 2 2.38 penny-cap Long NaN 26.0 2.727549e+06 4.0 Energy 1049 CLNC 3 4.84 penny-cap Long NaN 8.0 2.476970e+06 3.0 Real Estate Mean Return: 3.091111111111111 Mean Day/Week: 3.111111111111111 Accuracy:0.8888888888888888 *******************Part 3.4 Penny Cap Short Entry SPAN********************* penny_short_signal_entry_span Symbol Day Return Market Cap Long/Short score MACD Signal Count Market Value Span Signal Count industry 981 PLT 2 -3.13 penny-cap Short NaN -53.0 3.272265e+07 -4.0 Technology 928 HRTX 2 -2.17 penny-cap Short NaN -3.0 3.062553e+07 -3.0 Healthcare 709 CPA 3 3.68 penny-cap Short NaN -3.0 2.522549e+07 -5.0 Industrials 612 RXT 4 8.41 penny-cap Short NaN -17.0 2.026758e+07 -5.0 Technology 946 ARQT 1 0.00 penny-cap Short NaN -3.0 8.001448e+06 -5.0 Healthcare 1062 ENTA 1 0.00 penny-cap Short NaN -7.0 4.698647e+06 -1.0 Healthcare 810 GCMG 3 2.73 penny-cap Short NaN -3.0 3.372502e+06 -5.0 Financial Services Mean Return: 1.904 Mean Day/Week: 3.2 Accuracy:0.4 *******************Part 3.5 Penny Cap Long Entry MACD********************* penny_long_signal_entry_macd Symbol Day Return Market Cap Long/Short score MACD Signal Count Market Value Span Signal Count industry 1057 PLCE 1 0.00 penny-cap Long NaN 1.0 2.249456e+08 2.0 Consumer Cyclical 890 DDS 2 12.79 penny-cap Long NaN 2.0 1.886699e+08 17.0 Consumer Cyclical 802 GT 2 2.10 penny-cap Long NaN 2.0 7.822905e+07 78.0 Consumer Cyclical 561 EXP 3 1.01 penny-cap Long NaN 3.0 5.754769e+07 78.0 Basic Materials 701 ADS 1 0.00 penny-cap Long NaN 1.0 4.858493e+07 72.0 Financial Services 619 KBR 1 0.00 penny-cap Long NaN 1.0 4.838628e+07 78.0 Industrials 555 INGR 5 2.24 penny-cap Long NaN 5.0 4.810523e+07 72.0 Consumer Defensive 926 BOOT 2 1.61 penny-cap Long NaN 2.0 4.425722e+07 78.0 Consumer Cyclical 1024 FOE 5 -0.45 penny-cap Long NaN 5.0 3.927156e+07 69.0 Basic Materials 570 ACHC 2 -3.23 penny-cap Long NaN 2.0 2.706516e+07 78.0 Healthcare 632 THG 2 -0.09 penny-cap Long NaN 2.0 2.398211e+07 55.0 Financial Services 806 PRMW 2 0.87 penny-cap Long NaN 2.0 2.348742e+07 32.0 Consumer Defensive 706 BKU 1 0.00 penny-cap Long NaN 1.0 2.300107e+07 78.0 Financial Services 583 HLI 4 5.32 penny-cap Long NaN 4.0 2.142905e+07 4.0 Financial Services 865 PVG 1 0.00 penny-cap Long NaN 1.0 1.922815e+07 11.0 Basic Materials 705 UMPQ 2 -0.83 penny-cap Long NaN 2.0 1.604915e+07 78.0 Financial Services 616 UBSI 3 1.54 penny-cap Long NaN 3.0 1.520846e+07 78.0 Financial Services 962 GES 1 0.00 penny-cap Long NaN 1.0 1.360387e+07 32.0 Consumer Cyclical 805 COKE 2 1.67 penny-cap Long NaN 2.0 1.311242e+07 51.0 Consumer Defensive 860 ENLC 2 3.78 penny-cap Long NaN 2.0 1.195325e+07 2.0 Energy 826 ODP 2 1.00 penny-cap Long NaN 2.0 9.685476e+06 11.0 Consumer Cyclical 875 WAFD 1 0.00 penny-cap Long NaN 1.0 8.654396e+06 78.0 Financial Services 855 WSFS 2 0.75 penny-cap Long NaN 3.0 8.060963e+06 17.0 Financial Services 829 PLXS 2 0.23 penny-cap Long NaN 2.0 7.829205e+06 78.0 Technology 916 RVNC 1 0.00 penny-cap Long NaN 1.0 7.328281e+06 19.0 Healthcare 925 PIPR 3 1.66 penny-cap Long NaN 3.0 7.140699e+06 71.0 Financial Services 879 WSBC 3 2.15 penny-cap Long NaN 3.0 7.103878e+06 78.0 Financial Services 914 MGRC 1 0.00 penny-cap Long NaN 1.0 6.581786e+06 3.0 Industrials 811 IBOC 1 0.00 penny-cap Long NaN 2.0 6.204795e+06 78.0 Financial Services 909 HLIO 3 -0.34 penny-cap Long NaN 3.0 5.747101e+06 78.0 Industrials 934 BANR 2 -0.03 penny-cap Long NaN 2.0 4.942595e+06 78.0 Financial Services 964 MEI 1 0.00 penny-cap Long NaN 1.0 4.888272e+06 37.0 Technology 827 FLOW 3 0.70 penny-cap Long NaN 3.0 4.736130e+06 78.0 Industrials 1041 SNEX 1 0.00 penny-cap Long NaN 4.0 4.521420e+06 55.0 Financial Services 1038 FCF 2 0.78 penny-cap Long NaN 2.0 4.013533e+06 78.0 Financial Services 921 TOWN 2 0.27 penny-cap Long NaN 2.0 3.954364e+06 78.0 Financial Services 774 USM 5 0.43 penny-cap Long NaN 5.0 3.712299e+06 51.0 Communication Services 780 NNI 1 0.00 penny-cap Long NaN 1.0 3.711040e+06 3.0 Financial Services 957 HEP 2 1.54 penny-cap Long NaN 2.0 3.536211e+06 78.0 Energy 1065 SRCE 1 0.00 penny-cap Long NaN 1.0 2.076960e+06 78.0 Financial Services 766 TDI 1 0.00 penny-cap Long NaN 1.0 3.527866e+04 31.0 unknown Mean Return: 1.441153846153846 Mean Day/Week: 3.230769230769231 Accuracy:0.7692307692307693 *******************Part 3.6 Penny Cap Short Entry MACD********************* penny_short_signal_entry_macd Symbol Day Return Market Cap Long/Short score MACD Signal Count Market Value Span Signal Count industry 700 OSTK 2 3.63 penny-cap Short NaN -2.0 9.844871e+07 -39.0 Consumer Cyclical 844 ACB 3 -3.95 penny-cap Short NaN -3.0 4.844644e+07 -44.0 Healthcare 669 VLDR 5 -7.72 penny-cap Short NaN -5.0 3.813763e+07 -64.0 Technology 584 BLI 3 4.70 penny-cap Short NaN -3.0 3.793710e+07 -137.0 Healthcare 663 VC 4 1.40 penny-cap Short NaN -4.0 3.439528e+07 -42.0 Consumer Cyclical 613 GOCO 1 0.00 penny-cap Short NaN -1.0 3.423862e+07 -53.0 Financial Services 928 HRTX 2 -2.17 penny-cap Short NaN -3.0 3.062553e+07 -3.0 Healthcare 792 HYFM 3 4.04 penny-cap Short NaN -3.0 2.888241e+07 -43.0 Industrials 695 CRSR 4 2.91 penny-cap Short NaN -4.0 2.763385e+07 -57.0 Technology 974 OCUL 5 -11.08 penny-cap Short NaN -5.0 2.628784e+07 -12.0 Healthcare 709 CPA 3 3.68 penny-cap Short NaN -3.0 2.522549e+07 -5.0 Industrials 764 LTHM 4 4.95 penny-cap Short NaN -4.0 2.402029e+07 -53.0 Basic Materials 661 RETA 5 -4.82 penny-cap Short NaN -5.0 1.879763e+07 -42.0 Healthcare 830 MSGE 4 2.32 penny-cap Short NaN -4.0 1.795894e+07 -40.0 Communication Services 596 BAND 5 -3.89 penny-cap Short NaN -5.0 1.576807e+07 -57.0 Technology 767 GDOT 5 -3.69 penny-cap Short NaN -5.0 1.448389e+07 -137.0 Financial Services 615 KNSL 4 3.35 penny-cap Short NaN -4.0 1.371167e+07 -137.0 Financial Services 885 PRAX 3 12.15 penny-cap Short NaN -3.0 1.364675e+07 -57.0 Healthcare 938 PSNL 4 7.36 penny-cap Short NaN -4.0 1.360854e+07 -60.0 Healthcare 1040 CERS 5 2.79 penny-cap Short NaN -5.0 1.130633e+07 -60.0 Healthcare 571 CVET 4 2.95 penny-cap Short NaN -4.0 1.026048e+07 -44.0 Healthcare 753 UNIT 5 1.44 penny-cap Short NaN -5.0 1.024021e+07 -54.0 Real Estate 558 GSHD 5 -12.16 penny-cap Short NaN -5.0 9.610984e+06 -42.0 Financial Services 693 RCKT 4 -2.93 penny-cap Short NaN -4.0 9.157266e+06 -42.0 Healthcare 556 KWR 4 1.41 penny-cap Short NaN -4.0 8.146146e+06 -52.0 Basic Materials 946 ARQT 1 0.00 penny-cap Short NaN -3.0 8.001448e+06 -5.0 Healthcare 886 ARCE 2 1.56 penny-cap Short NaN -2.0 7.260621e+06 -69.0 Consumer Defensive 777 JOE 1 0.00 penny-cap Short NaN -5.0 5.224908e+06 -39.0 Real Estate 1056 PASG 2 -4.39 penny-cap Short NaN -2.0 5.199582e+06 -137.0 Healthcare 995 TRIL 2 1.56 penny-cap Short NaN -2.0 5.129890e+06 -137.0 Healthcare 745 ALXO 4 0.42 penny-cap Short NaN -4.0 4.588279e+06 -68.0 Healthcare 877 STTK 4 -3.25 penny-cap Short NaN -4.0 3.767019e+06 -60.0 Healthcare 810 GCMG 3 2.73 penny-cap Short NaN -3.0 3.372502e+06 -5.0 Financial Services 791 YQ 3 10.21 penny-cap Short NaN -3.0 1.760000e+06 -112.0 Consumer Defensive 1064 IH 2 -0.42 penny-cap Short NaN -2.0 4.198370e+05 -137.0 Consumer Defensive 959 ZEAL 3 -2.96 penny-cap Short NaN -5.0 3.080455e+05 -10.0 Healthcare 1020 VSTA 3 1.93 penny-cap Short NaN -3.0 2.950823e+05 -59.0 Consumer Defensive Mean Return: 0.4135294117647059 Mean Day/Week: 3.7058823529411766 Accuracy:0.38235294117647056 *******************Part 3.7 Penny Cap Long Maintainance********************* penny_long_signal_maintainance Symbol Day Return Market Cap Long/Short score MACD Signal Count Market Value Span Signal Count industry 649 HL 6 22.27 penny-cap Long NaN 8.0 2.104548e+08 8.0 Basic Materials 608 GPK 9 -0.09 penny-cap Long NaN 9.0 1.249884e+08 50.0 Consumer Cyclical 574 EQT 7 11.72 penny-cap Long NaN 13.0 1.209494e+08 16.0 Energy 889 AR 7 16.72 penny-cap Long NaN 7.0 1.159454e+08 78.0 Energy 560 CROX 15 6.67 penny-cap Long NaN 15.0 1.139977e+08 78.0 Consumer Cyclical 924 UFS 16 34.81 penny-cap Long NaN 16.0 9.985036e+07 78.0 Basic Materials 944 HOME 9 20.69 penny-cap Long NaN 16.0 9.607443e+07 78.0 Consumer Cyclical 880 ASO 8 4.16 penny-cap Long NaN 8.0 9.243147e+07 78.0 Consumer Cyclical 783 SWN 6 15.80 penny-cap Long NaN 9.0 8.516340e+07 15.0 Energy 568 AUY 8 7.13 penny-cap Long NaN 46.0 8.244071e+07 23.0 Basic Materials 599 XEC 9 6.10 penny-cap Long NaN 9.0 7.056482e+07 78.0 Energy 730 GOLF 8 3.85 penny-cap Long NaN 8.0 5.817537e+07 8.0 Consumer Cyclical 659 SGMS 15 6.83 penny-cap Long NaN 23.0 5.669815e+07 19.0 Consumer Cyclical 557 BPOP 9 5.23 penny-cap Long NaN 9.0 5.129407e+07 78.0 Financial Services 776 MED 6 4.57 penny-cap Long NaN 9.0 4.774595e+07 8.0 Consumer Cyclical 894 MTDR 10 13.17 penny-cap Long NaN 10.0 4.195375e+07 78.0 Energy 601 CC 11 12.60 penny-cap Long NaN 35.0 4.130230e+07 36.0 Basic Materials 895 PRFT 12 8.08 penny-cap Long NaN 12.0 3.587073e+07 78.0 Technology 717 UNVR 17 16.47 penny-cap Long NaN 36.0 3.544171e+07 51.0 Basic Materials 856 NAVI 41 24.23 penny-cap Long NaN 41.0 3.464551e+07 78.0 Financial Services 630 OLN 13 7.53 penny-cap Long NaN 13.0 3.296657e+07 78.0 Basic Materials 807 MIC 10 3.78 penny-cap Long NaN 10.0 3.290104e+07 29.0 Industrials 655 AM 6 6.52 penny-cap Long NaN 9.0 3.273279e+07 19.0 Energy 922 RLGY 6 7.25 penny-cap Long NaN 13.0 3.249935e+07 13.0 Real Estate 734 COMM 7 0.26 penny-cap Long NaN 7.0 3.223169e+07 78.0 Technology 797 SUM 7 10.10 penny-cap Long NaN 7.0 3.149960e+07 78.0 Basic Materials 824 PDCE 7 3.78 penny-cap Long NaN 7.0 3.113218e+07 78.0 Energy 775 RRR 14 7.62 penny-cap Long NaN 14.0 3.095387e+07 78.0 Consumer Cyclical 902 EPC 8 0.98 penny-cap Long NaN 8.0 3.090076e+07 46.0 Consumer Defensive 590 JOBS 8 1.57 penny-cap Long NaN 30.0 2.971250e+07 10.0 Industrials 1059 SBLK 19 17.49 penny-cap Long NaN 19.0 2.944750e+07 78.0 Industrials 696 R 11 7.69 penny-cap Long NaN 11.0 2.892309e+07 78.0 Industrials 868 FBP 14 5.48 penny-cap Long NaN 14.0 2.860089e+07 78.0 Financial Services 704 HRB 6 4.68 penny-cap Long NaN 6.0 2.740226e+07 74.0 Consumer Cyclical 633 WCC 14 17.71 penny-cap Long NaN 14.0 2.694098e+07 78.0 Industrials 804 TEX 10 9.17 penny-cap Long NaN 10.0 2.673355e+07 78.0 Industrials 789 BNL 13 2.55 penny-cap Long NaN 32.0 2.447013e+07 23.0 Real Estate 620 DCP 7 3.75 penny-cap Long NaN 14.0 2.446405e+07 10.0 Energy 597 MSM 11 3.50 penny-cap Long NaN 11.0 2.323167e+07 51.0 Industrials 867 OI 17 20.69 penny-cap Long NaN 36.0 2.322532e+07 37.0 Consumer Cyclical 744 HWC 15 8.69 penny-cap Long NaN 15.0 2.225091e+07 78.0 Financial Services 598 VVV 22 15.72 penny-cap Long NaN 22.0 2.130126e+07 78.0 Energy 813 MD 7 -1.08 penny-cap Long NaN 7.0 2.071702e+07 32.0 Healthcare 815 CMC 7 1.70 penny-cap Long NaN 7.0 2.051472e+07 72.0 Basic Materials 686 AMN 13 10.74 penny-cap Long NaN 19.0 2.045757e+07 19.0 Healthcare 854 MLHR 6 2.09 penny-cap Long NaN 6.0 2.024132e+07 73.0 Consumer Cyclical 751 NUS 6 1.01 penny-cap Long NaN 26.0 1.960541e+07 8.0 Consumer Defensive 760 ARNC 11 22.51 penny-cap Long NaN 24.0 1.935023e+07 24.0 Industrials 773 CCOI 13 4.88 penny-cap Long NaN 13.0 1.911365e+07 48.0 Communication Services 714 KEX 6 4.13 penny-cap Long NaN 10.0 1.886674e+07 78.0 Industrials 689 ALKS 7 0.43 penny-cap Long NaN 22.0 1.867864e+07 17.0 Healthcare 1036 CYH 9 3.33 penny-cap Long NaN 9.0 1.816415e+07 12.0 Healthcare 718 BHF 8 0.69 penny-cap Long NaN 8.0 1.782596e+07 78.0 Financial Services 814 TROX 9 1.88 penny-cap Long NaN 30.0 1.707858e+07 37.0 Basic Materials 888 OR 11 11.97 penny-cap Long NaN 46.0 1.702201e+07 29.0 Basic Materials 651 AWI 21 8.47 penny-cap Long NaN 21.0 1.650234e+07 78.0 Industrials 740 SAFM 9 2.11 penny-cap Long NaN 9.0 1.587221e+07 73.0 Consumer Defensive 715 CWK 11 2.34 penny-cap Long NaN 11.0 1.543826e+07 51.0 Real Estate 927 IRWD 7 7.66 penny-cap Long NaN 18.0 1.504584e+07 26.0 Healthcare 986 XPEL 6 12.72 penny-cap Long NaN 6.0 1.484629e+07 32.0 Consumer Cyclical 793 CBT 11 12.14 penny-cap Long NaN 17.0 1.479311e+07 78.0 Basic Materials 933 PAGP 7 9.87 penny-cap Long NaN 13.0 1.468558e+07 17.0 Energy 1055 MDP 8 -5.10 penny-cap Long NaN 9.0 1.448342e+07 78.0 Communication Services 816 ANAT 8 20.17 penny-cap Long NaN 8.0 1.431331e+07 53.0 Financial Services 731 PDCO 10 0.56 penny-cap Long NaN 11.0 1.405050e+07 17.0 Healthcare 972 KALU 14 7.66 penny-cap Long NaN 14.0 1.209801e+07 78.0 Basic Materials 625 WTS 8 1.26 penny-cap Long NaN 23.0 1.205871e+07 19.0 Industrials 869 TDS 6 -0.42 penny-cap Long NaN 6.0 1.177736e+07 51.0 Communication Services 754 JJSF 13 2.85 penny-cap Long NaN 18.0 1.130659e+07 22.0 Consumer Defensive 863 SGRY 16 7.30 penny-cap Long NaN 16.0 1.108791e+07 78.0 Healthcare 785 EXLS 9 0.94 penny-cap Long NaN 9.0 1.101880e+07 53.0 Technology 866 PBH 6 5.50 penny-cap Long NaN 6.0 1.067225e+07 11.0 Healthcare 677 BCPC 10 -1.83 penny-cap Long NaN 11.0 1.066932e+07 60.0 Basic Materials 825 ENBL 14 21.37 penny-cap Long NaN 14.0 1.027721e+07 67.0 Energy 716 CNS 6 4.14 penny-cap Long NaN 32.0 9.627092e+06 17.0 Financial Services 820 FCFS 17 9.78 penny-cap Long NaN 24.0 8.941759e+06 52.0 Financial Services 1011 NMRK 7 3.35 penny-cap Long NaN 7.0 8.233952e+06 78.0 Real Estate 799 EVTC 10 7.19 penny-cap Long NaN 32.0 8.086538e+06 32.0 Technology 1031 FDP 9 5.29 penny-cap Long NaN 9.0 8.027368e+06 56.0 Consumer Defensive 1021 VLRS 15 6.74 penny-cap Long NaN 15.0 7.980202e+06 78.0 Industrials 899 CSTM 10 3.99 penny-cap Long NaN 16.0 7.856521e+06 51.0 Basic Materials 1016 WIRE 15 10.35 penny-cap Long NaN 15.0 7.447595e+06 78.0 Industrials 931 GOL 7 0.14 penny-cap Long NaN 30.0 7.352717e+06 18.0 Industrials 840 MTX 8 2.96 penny-cap Long NaN 8.0 7.094779e+06 78.0 Basic Materials 851 BDC 7 -1.93 penny-cap Long NaN 9.0 7.023158e+06 9.0 Industrials 787 AUB 6 5.51 penny-cap Long NaN 8.0 6.975585e+06 78.0 Financial Services 967 HNI 13 7.27 penny-cap Long NaN 13.0 6.883192e+06 55.0 Industrials 755 GHC 7 0.30 penny-cap Long NaN 7.0 6.347331e+06 32.0 Consumer Defensive 884 CVA 6 0.01 penny-cap Long NaN 12.0 6.198031e+06 12.0 Industrials 782 SCL 14 4.86 penny-cap Long NaN 17.0 5.626994e+06 51.0 Basic Materials 939 SASR 10 1.65 penny-cap Long NaN 10.0 5.454071e+06 78.0 Financial Services 1006 CASH 13 1.02 penny-cap Long NaN 13.0 4.499590e+06 78.0 Financial Services 982 HSC 7 1.76 penny-cap Long NaN 24.0 4.398267e+06 10.0 Industrials 1054 ARCO 13 10.88 penny-cap Long NaN 22.0 3.924504e+06 16.0 Consumer Cyclical 1023 BPMP 9 3.86 penny-cap Long NaN 16.0 3.834623e+06 53.0 Energy 1047 SBSI 10 4.83 penny-cap Long NaN 10.0 3.469520e+06 78.0 Financial Services 971 ARGO 8 1.17 penny-cap Long NaN 8.0 2.534969e+06 66.0 Financial Services 983 FFG 11 0.28 penny-cap Long NaN 11.0 1.099604e+06 11.0 Financial Services 750 BBU 13 5.19 penny-cap Long NaN 15.0 1.016340e+06 16.0 Industrials 688 SLMBP 10 2.82 penny-cap Long NaN 15.0 4.380000e+05 77.0 Financial Services 567 SHI 6 1.50 penny-cap Long NaN 6.0 3.392344e+05 28.0 Energy Mean Return: 6.854257425742575 Mean Day/Week: 10.376237623762377 Accuracy:0.9405940594059405 *******************Part 3.8 Penny Cap Short Maintainance********************* penny_short_signal_maintainance Symbol Day Return Market Cap Long/Short score MACD Signal Count Market Value Span Signal Count industry 989 RIOT 6 -17.18 penny-cap Short NaN -39.0 4.768600e+08 -23.0 Technology 772 TLRY 11 -8.64 penny-cap Short NaN -58.0 3.634347e+08 -38.0 Healthcare 645 APHA 10 -17.47 penny-cap Short NaN -54.0 3.048018e+08 -36.0 Healthcare 627 FSR 18 -18.94 penny-cap Short NaN -42.0 2.743516e+08 -35.0 Consumer Cyclical 600 NOVA 10 -15.42 penny-cap Short NaN -10.0 1.775950e+08 -54.0 Technology 845 SI 6 5.58 penny-cap Short NaN -24.0 1.753031e+08 -21.0 Financial Services 992 SNDL 13 -15.96 penny-cap Short NaN -56.0 1.377718e+08 -37.0 Healthcare 622 TREE 8 -2.45 penny-cap Short NaN -8.0 1.149783e+08 -56.0 Financial Services 812 NNDM 13 -18.29 penny-cap Short NaN -62.0 9.994921e+07 -53.0 Technology 575 WKHS 6 1.22 penny-cap Short NaN -6.0 9.438701e+07 -59.0 Consumer Cyclical 790 TIGR 8 1.28 penny-cap Short NaN -8.0 7.526073e+07 -38.0 Financial Services 576 SHAK 12 -24.30 penny-cap Short NaN -57.0 7.455951e+07 -28.0 Consumer Cyclical 624 MGNI 10 -29.86 penny-cap Short NaN -56.0 7.395570e+07 -38.0 Communication Services 569 NARI 6 -8.57 penny-cap Short NaN -10.0 5.434656e+07 -10.0 Healthcare 853 REAL 7 -41.14 penny-cap Short NaN -7.0 4.806063e+07 -12.0 Consumer Cyclical 647 AHCO 24 -16.83 penny-cap Short NaN -25.0 4.688788e+07 -25.0 Healthcare 554 ALLO 12 -7.35 penny-cap Short NaN -13.0 4.199707e+07 -14.0 Healthcare 609 STMP 8 -7.63 penny-cap Short NaN -8.0 4.028350e+07 -60.0 Technology 702 FLGT 13 -10.49 penny-cap Short NaN -59.0 3.949470e+07 -38.0 Healthcare 662 EGHT 11 -28.27 penny-cap Short NaN -11.0 3.942857e+07 -13.0 Technology 589 HASI 10 -3.60 penny-cap Short NaN -10.0 3.917619e+07 -62.0 Real Estate 708 CSIQ 12 -12.66 penny-cap Short NaN -12.0 3.854852e+07 -53.0 Technology 670 DNMR 15 -39.19 penny-cap Short NaN -60.0 3.847076e+07 -38.0 Basic Materials 628 PD 9 -12.28 penny-cap Short NaN -9.0 3.725310e+07 -53.0 Technology 859 CLNE 13 -32.05 penny-cap Short NaN -58.0 3.695327e+07 -31.0 Energy 842 PUBM 8 -16.21 penny-cap Short NaN -50.0 3.692242e+07 -23.0 Technology 654 INSM 9 -13.10 penny-cap Short NaN -9.0 3.629862e+07 -45.0 Healthcare 758 JKS 6 0.79 penny-cap Short NaN -6.0 3.590118e+07 -75.0 Technology 719 NNOX 30 -66.81 penny-cap Short NaN -64.0 3.499221e+07 -60.0 Healthcare 595 EH 13 -27.57 penny-cap Short NaN -62.0 3.490326e+07 -52.0 Industrials 738 TWOU 8 -8.50 penny-cap Short NaN -8.0 3.463395e+07 -46.0 Consumer Defensive 819 AMRS 8 10.62 penny-cap Short NaN -36.0 3.431439e+07 -23.0 Basic Materials 644 EDIT 6 5.99 penny-cap Short NaN -6.0 3.403817e+07 -67.0 Healthcare 580 EVBG 10 -6.67 penny-cap Short NaN -10.0 3.243818e+07 -51.0 Technology 698 CDLX 8 -10.47 penny-cap Short NaN -8.0 3.152904e+07 -13.0 Communication Services 562 WK 11 -0.72 penny-cap Short NaN -11.0 3.029648e+07 -42.0 Technology 683 VCYT 14 -34.01 penny-cap Short NaN -22.0 3.016765e+07 -44.0 Healthcare 823 RMO 6 3.66 penny-cap Short NaN -6.0 2.973285e+07 -108.0 Consumer Cyclical 634 CCXI 10 -63.71 penny-cap Short NaN -10.0 2.957829e+07 -52.0 Healthcare 798 SSYS 11 -4.50 penny-cap Short NaN -11.0 2.904763e+07 -52.0 Technology 687 EQC 8 -0.83 penny-cap Short NaN -9.0 2.882316e+07 -9.0 Real Estate 692 IRBT 13 -12.99 penny-cap Short NaN -58.0 2.834589e+07 -47.0 Technology 666 AMBA 12 -9.48 penny-cap Short NaN -57.0 2.827012e+07 -39.0 Technology 1042 DMTK 13 -15.06 penny-cap Short NaN -52.0 2.819925e+07 -36.0 Healthcare 784 MAXR 10 4.54 penny-cap Short NaN -10.0 2.735340e+07 -44.0 Technology 637 AJRD 15 -0.80 penny-cap Short NaN -81.0 2.726307e+07 -52.0 Industrials 846 AVNS 12 -7.72 penny-cap Short NaN -12.0 2.598218e+07 -42.0 Healthcare 712 MOMO 10 -1.99 penny-cap Short NaN -10.0 2.542667e+07 -40.0 Communication Services 828 LAC 11 -2.24 penny-cap Short NaN -11.0 2.473034e+07 -53.0 Basic Materials 565 SAGE 8 1.27 penny-cap Short NaN -8.0 2.369075e+07 -10.0 Healthcare 852 AMCX 9 5.46 penny-cap Short NaN -39.0 2.365934e+07 -35.0 Communication Services 749 RVMD 14 -6.28 penny-cap Short NaN -38.0 2.262370e+07 -29.0 Healthcare 640 SRNE 7 -7.40 penny-cap Short NaN -7.0 2.223090e+07 -47.0 Healthcare 850 EAR 8 -21.21 penny-cap Short NaN -8.0 2.176221e+07 -42.0 Healthcare 684 NIU 9 -14.27 penny-cap Short NaN -9.0 2.155646e+07 -39.0 Consumer Cyclical 732 GBT 9 -8.99 penny-cap Short NaN -9.0 2.114371e+07 -57.0 Healthcare 605 CRNC 8 -6.08 penny-cap Short NaN -8.0 2.081900e+07 -44.0 Technology 626 AEIS 6 9.22 penny-cap Short NaN -12.0 2.062243e+07 -10.0 Industrials 834 TPIC 9 -9.88 penny-cap Short NaN -9.0 1.968468e+07 -56.0 Industrials 614 ENV 7 -3.20 penny-cap Short NaN -8.0 1.919460e+07 -11.0 Technology 582 CLDR 6 2.05 penny-cap Short NaN -6.0 1.918938e+07 -47.0 Technology 607 LPSN 10 1.57 penny-cap Short NaN -10.0 1.918352e+07 -53.0 Technology 707 BLKB 9 5.50 penny-cap Short NaN -57.0 1.854344e+07 -13.0 Technology 572 ALRM 10 -7.19 penny-cap Short NaN -10.0 1.848751e+07 -14.0 Technology 592 ARNA 9 -5.31 penny-cap Short NaN -9.0 1.824417e+07 -42.0 Healthcare 643 MRCY 7 -2.97 penny-cap Short NaN -10.0 1.773541e+07 -9.0 Industrials 623 KRNT 13 -9.63 penny-cap Short NaN -21.0 1.754602e+07 -26.0 Industrials 752 PHR 10 -8.84 penny-cap Short NaN -10.0 1.735529e+07 -45.0 Healthcare 650 PTCT 43 -36.76 penny-cap Short NaN -82.0 1.681420e+07 -68.0 Healthcare 678 SEER 10 -28.35 penny-cap Short NaN -10.0 1.670472e+07 -112.0 Healthcare 635 LOPE 6 0.09 penny-cap Short NaN -34.0 1.669115e+07 -8.0 Consumer Defensive 636 GKOS 6 -3.48 penny-cap Short NaN -7.0 1.644330e+07 -8.0 Healthcare 728 BZUN 13 -9.70 penny-cap Short NaN -54.0 1.591878e+07 -39.0 Consumer Cyclical 563 SMTC 11 -7.92 penny-cap Short NaN -11.0 1.572549e+07 -15.0 Technology 1004 GNOG 10 -16.46 penny-cap Short NaN -10.0 1.556858e+07 -109.0 Consumer Cyclical 606 DOYU 13 -18.23 penny-cap Short NaN -53.0 1.555587e+07 -39.0 Communication Services 742 VNE 14 -3.08 penny-cap Short NaN -14.0 1.477554e+07 -30.0 Consumer Cyclical 617 MTSI 13 -12.17 penny-cap Short NaN -13.0 1.470342e+07 -15.0 Technology 727 AMRN 30 -37.19 penny-cap Short NaN -60.0 1.431044e+07 -42.0 Healthcare 966 MASS 6 -23.41 penny-cap Short NaN -6.0 1.421288e+07 -102.0 Healthcare 710 FORM 12 -13.32 penny-cap Short NaN -14.0 1.408546e+07 -13.0 Technology 757 LGND 14 -14.98 penny-cap Short NaN -62.0 1.400227e+07 -39.0 Healthcare 837 EPAY 9 -2.04 penny-cap Short NaN -9.0 1.349637e+07 -10.0 Technology 904 DEA 6 -3.17 penny-cap Short NaN -6.0 1.326174e+07 -57.0 Real Estate 876 LUNG 6 -2.69 penny-cap Short NaN -6.0 1.326000e+07 -44.0 Healthcare 673 CRON 13 -10.44 penny-cap Short NaN -59.0 1.316637e+07 -40.0 Healthcare 652 DIOD 8 -1.83 penny-cap Short NaN -37.0 1.314950e+07 -13.0 Technology 577 FTDR 10 -1.56 penny-cap Short NaN -18.0 1.228528e+07 -18.0 Consumer Cyclical 858 YEXT 11 -7.35 penny-cap Short NaN -11.0 1.214669e+07 -52.0 Technology 912 ACMR 13 -20.83 penny-cap Short NaN -56.0 1.194922e+07 -38.0 Technology 918 CSTL 9 -9.01 penny-cap Short NaN -9.0 1.175627e+07 -51.0 Healthcare 954 PAYA 21 -15.58 penny-cap Short NaN -42.0 1.151006e+07 -62.0 Technology 639 RSI 13 -13.81 penny-cap Short NaN -40.0 1.148035e+07 -41.0 Consumer Cyclical 841 QTRX 10 -12.69 penny-cap Short NaN -10.0 1.122620e+07 -50.0 Healthcare 1030 EOSE 32 -37.93 penny-cap Short NaN -79.0 1.089646e+07 -58.0 Industrials 998 VERI 11 -25.06 penny-cap Short NaN -11.0 1.084788e+07 -51.0 Technology 917 CSII 6 7.95 penny-cap Short NaN -6.0 1.070870e+07 -52.0 Healthcare 638 OPK 14 -13.19 penny-cap Short NaN -60.0 1.032437e+07 -48.0 Healthcare 1032 FDMT 8 -21.50 penny-cap Short NaN -8.0 1.024789e+07 -42.0 Healthcare 1015 ICPT 9 -8.60 penny-cap Short NaN -9.0 1.001125e+07 -60.0 Healthcare 961 UPLD 8 -2.80 penny-cap Short NaN -9.0 9.710431e+06 -10.0 Technology 943 LTC 7 -2.98 penny-cap Short NaN -39.0 9.593505e+06 -11.0 Real Estate 794 DCPH 9 -6.48 penny-cap Short NaN -9.0 9.591555e+06 -11.0 Healthcare 883 ARCT 6 0.36 penny-cap Short NaN -6.0 9.169180e+06 -68.0 Healthcare 905 ADUS 9 1.90 penny-cap Short NaN -10.0 9.122699e+06 -13.0 Healthcare 896 PBI 12 6.91 penny-cap Short NaN -12.0 9.100405e+06 -13.0 Industrials 1009 FTOC 9 -2.58 penny-cap Short NaN -60.0 8.760671e+06 -44.0 Financial Services 803 INDB 6 0.89 penny-cap Short NaN -40.0 8.531771e+06 -23.0 Financial Services 778 PLMR 6 -1.01 penny-cap Short NaN -6.0 8.470829e+06 -53.0 Financial Services 947 ATSG 8 -0.36 penny-cap Short NaN -26.0 8.457282e+06 -19.0 Industrials 1002 PI 6 -0.43 penny-cap Short NaN -57.0 8.442257e+06 -36.0 Technology 699 CORT 10 -3.39 penny-cap Short NaN -10.0 8.379274e+06 -54.0 Healthcare 843 SITM 11 -6.70 penny-cap Short NaN -11.0 8.120239e+06 -57.0 Technology 1000 BLFS 8 0.84 penny-cap Short NaN -10.0 7.831214e+06 -38.0 Healthcare 587 RLAY 9 0.45 penny-cap Short NaN -9.0 7.623556e+06 -70.0 Healthcare 839 STRA 13 -1.28 penny-cap Short NaN -24.0 7.489697e+06 -21.0 Consumer Defensive 991 CEVA 12 -23.21 penny-cap Short NaN -56.0 7.467371e+06 -39.0 Technology 878 SGMO 9 4.99 penny-cap Short NaN -9.0 7.466467e+06 -67.0 Healthcare 836 RMBS 12 -1.26 penny-cap Short NaN -22.0 7.337618e+06 -21.0 Technology 697 TSEM 12 -7.84 penny-cap Short NaN -21.0 7.256331e+06 -39.0 Technology 930 ICLK 6 3.78 penny-cap Short NaN -6.0 7.135304e+06 -39.0 Communication Services 642 DAO 9 -5.78 penny-cap Short NaN -9.0 7.118423e+06 -42.0 Communication Services 831 TTGT 6 1.48 penny-cap Short NaN -9.0 7.007695e+06 -39.0 Communication Services 1003 FARO 12 -3.45 penny-cap Short NaN -41.0 6.971916e+06 -13.0 Technology 594 JAMF 9 -12.67 penny-cap Short NaN -11.0 6.924489e+06 -11.0 Technology 729 MMYT 9 -0.73 penny-cap Short NaN -38.0 6.909588e+06 -29.0 Consumer Cyclical 667 MTLS 8 -10.06 penny-cap Short NaN -8.0 6.904513e+06 -59.0 Technology 1018 ADVM 13 -6.43 penny-cap Short NaN -13.0 6.899899e+06 -54.0 Healthcare 653 VICR 6 -2.27 penny-cap Short NaN -6.0 6.885129e+06 -42.0 Technology 950 CDXS 8 -7.86 penny-cap Short NaN -11.0 6.667152e+06 -13.0 Healthcare 985 JRVR 8 -1.00 penny-cap Short NaN -15.0 6.643816e+06 -20.0 Financial Services 937 PNTG 14 -25.31 penny-cap Short NaN -85.0 6.116593e+06 -60.0 Healthcare 822 BTRS 8 -18.72 penny-cap Short NaN -8.0 6.109248e+06 -37.0 Technology 941 SLP 10 -10.90 penny-cap Short NaN -10.0 5.971979e+06 -44.0 Healthcare 857 ADCT 6 -4.66 penny-cap Short NaN -6.0 5.830396e+06 -77.0 Healthcare 672 OPCH 9 -6.46 penny-cap Short NaN -9.0 5.820633e+06 -15.0 Healthcare 990 MAXN 38 -55.85 penny-cap Short NaN -62.0 5.767844e+06 -43.0 Technology 898 AZRE 12 -15.22 penny-cap Short NaN -12.0 5.715122e+06 -64.0 Utilities 968 VCRA 12 -9.81 penny-cap Short NaN -12.0 5.664131e+06 -46.0 Technology 955 BCAB 6 -0.25 penny-cap Short NaN -35.0 5.607248e+06 -28.0 Healthcare 1053 DHC 10 -17.82 penny-cap Short NaN -38.0 5.516663e+06 -20.0 Real Estate 979 SOL 10 -15.33 penny-cap Short NaN -10.0 5.506150e+06 -54.0 Technology 1063 VITL 8 -5.35 penny-cap Short NaN -8.0 5.469740e+06 -41.0 Consumer Defensive 970 NRIX 7 -3.92 penny-cap Short NaN -7.0 5.456923e+06 -42.0 Healthcare 893 PRO 11 -12.95 penny-cap Short NaN -11.0 5.452993e+06 -14.0 Technology 975 MRSN 8 -5.23 penny-cap Short NaN -8.0 5.416573e+06 -137.0 Healthcare 864 KURA 10 -2.19 penny-cap Short NaN -10.0 5.289600e+06 -137.0 Healthcare 881 SRRK 10 -3.97 penny-cap Short NaN -38.0 5.083316e+06 -38.0 Healthcare 1005 LASR 13 -9.54 penny-cap Short NaN -53.0 4.850139e+06 -39.0 Technology 788 XNCR 8 0.21 penny-cap Short NaN -8.0 4.727913e+06 -42.0 Healthcare 1035 TPGY 7 -9.08 penny-cap Short NaN -7.0 4.719987e+06 -53.0 Financial Services 1061 SRG 10 -5.09 penny-cap Short NaN -40.0 4.549170e+06 -27.0 Real Estate 1028 ATRI 14 -4.88 penny-cap Short NaN -14.0 4.419806e+06 -18.0 Healthcare 835 BCAT 6 1.21 penny-cap Short NaN -6.0 4.346198e+06 -64.0 unknown 1050 AKRO 8 5.48 penny-cap Short NaN -8.0 4.249536e+06 -12.0 Healthcare 1051 WPRT 10 -16.09 penny-cap Short NaN -58.0 3.983601e+06 -39.0 Consumer Cyclical 949 SBTX 15 -19.22 penny-cap Short NaN -38.0 3.907802e+06 -35.0 Healthcare 965 IMGN 9 -10.80 penny-cap Short NaN -52.0 3.519576e+06 -35.0 Healthcare 1044 MORF 9 -2.89 penny-cap Short NaN -36.0 3.492414e+06 -25.0 Healthcare 920 PGEN 9 2.37 penny-cap Short NaN -9.0 3.484020e+06 -44.0 Healthcare 960 LX 8 -0.17 penny-cap Short NaN -40.0 3.266492e+06 -35.0 Financial Services 1029 RMAX 20 -0.12 penny-cap Short NaN -42.0 3.230631e+06 -25.0 Real Estate 997 EVER 12 -13.56 penny-cap Short NaN -53.0 3.086486e+06 -46.0 Communication Services 987 KRYS 6 1.98 penny-cap Short NaN -10.0 3.031455e+06 -11.0 Healthcare 958 KNTE 21 -16.51 penny-cap Short NaN -39.0 2.903716e+06 -113.0 Healthcare 591 HCM 9 1.41 penny-cap Short NaN -9.0 2.796204e+06 -60.0 Healthcare 1034 QNST 9 -10.78 penny-cap Short NaN -9.0 2.785742e+06 -41.0 Communication Services 969 KNSA 10 -11.44 penny-cap Short NaN -43.0 2.749572e+06 -40.0 Healthcare 1043 PHAT 10 -6.81 penny-cap Short NaN -10.0 2.676458e+06 -35.0 Healthcare 993 KROS 6 3.24 penny-cap Short NaN -9.0 2.514328e+06 -12.0 Healthcare 1026 LXRX 14 -17.80 penny-cap Short NaN -64.0 2.461395e+06 -39.0 Healthcare 848 GTH 10 -4.79 penny-cap Short NaN -58.0 2.142781e+06 -39.0 Healthcare 911 SPNS 9 -9.21 penny-cap Short NaN -10.0 1.833970e+06 -10.0 Technology 821 CANG 31 -41.10 penny-cap Short NaN -61.0 1.768400e+06 -46.0 Communication Services 1045 RBBN 15 -14.70 penny-cap Short NaN -56.0 1.584152e+06 -39.0 Communication Services 1012 CLLS 9 -7.35 penny-cap Short NaN -9.0 1.529654e+06 -63.0 Healthcare 1033 MESO 15 -2.01 penny-cap Short NaN -15.0 8.136073e+05 -137.0 Healthcare 660 MOR 6 3.43 penny-cap Short NaN -6.0 3.646634e+05 -62.0 Healthcare 948 HLG 39 -21.08 penny-cap Short NaN -39.0 3.280866e+05 -137.0 Consumer Defensive 847 GB 8 2.33 penny-cap Short NaN -26.0 8.589474e+04 -64.0 Technology 963 MSC 12 3.78 penny-cap Short NaN -46.0 3.398400e+03 -137.0 Consumer Cyclical Mean Return: -9.399060773480663 Mean Day/Week: 10.900552486187845 Accuracy:0.8066298342541437 ************************************** ************************************** ************************************** Error: ['AMAT2 Error: Expecting value: line 1 column 1 (char 0)']

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[wallpaperpainter]

Seven Things About Remmina Windows 9 You Have To Experience It Yourself | remmina windows 9

I ordered a Raspberry Pi Zero from Adafruit in their Startup Pack appropriate afterwards they were released. There are a few Greater Than Zero Pis (GTZPi) already on my lath so my acquirement was apprenticed by curiosity, not necessity. With no blitz on commitment it eventually got here, and I assuredly got about to attractive at it. My acquaintance with the Pi ancestors began with the Pi B and, anon afterwards that, the Pi 2. The acceleration aberration amid them was apparent so I absitively to dive in and added test the achievement of the Zero.

9.9 – Why won’t Remmina connect to Windows 9 Remote Desktop .. | remmina windows 10

One of the aboriginal hacks for a Zero aloof acclimated an absolute SD agenda from a GTZPi so I approved that. I affiliated the USB On the Go (OTG) cable with a WiFi dongle and the mini-HDMI anchorage to my keyboard-video-monitor (KVM) switch. With adeptness activated the action LED lit… and afresh flashed eight times, went solid, flashed eight times, and afresh the pattern. Obviously, article was wrong. The Internet to the rescue!

The aflame LED meant the Zero couldn’t apprehend the book arrangement on the SD card. Added analytic appropriate afterlight the SD agenda while active it on a GTZPi, which I did. The commands were the accepted for afterlight a Linux system:

I put the SD agenda aback in the Zero and got eight flashes. Okay, time to actualize a new SD card.

Off I went to the Pi web armpit for the newest adaptation of NOOB. That was the slowest download of a 1 Gb book I’ve anytime apparent but it did assuredly finish. I formatted the SD card, abashed the NOOB file, and affected the consistent agenda to the SD. I swapped out the WiFi dongle on the OTG for a USB to PS2 keyboard and abrasion cable which in about-face acquainted into the KVM cable.

The Zero booted and the adviser displayed the NOOB bureaucracy awning but neither the abrasion nor the keyboard responded. My KVM is old abundant that sometimes the agglomeration of USB to PS2 cables isn’t consistently recognized, acute a reboot. I powered off to try again. Still no success, so I looked a little afterpiece at everything.

I discovered, with a bit of a red face, that I’d antipodal the adeptness and OTG cables. If you’ve wondered about powering the Zero through the OTG anchorage I can acquaint you it works. I’m not abiding I’d acclaim accomplishing this unless you’re actually abiding you’ve alone got a distinct adeptness accumulation connected. The Pi adeptness ambit has a blocking diode on the USB adeptness ascribe to anticipate dueling adeptness supplies. The accepted USB ports and GPIO pins do not accept that diode. The Pi Foundation recommends abacus a blocking diode aback powering a Pi through the GPIO ports.

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The Adafruit armpit is a acceptable adeptness for the Zero. That is area I went to analysis which adapter was adeptness and which OTG. Yes, it’s printed on the lath but the allowance was a little dark, and, well, I aloof didn’t see the labels. While on the Adafruit folio I reread aggregate to brace my anamnesis and begin a notice:

Raspbian Wheezy 5-15 or beforehand do not abutment the Zero! Try Jessie instead

Sigh! I should accept looked actuality earlier. With the actual adaptation of the OS and cables affiliated properly, I assuredly got some success!! The Zero was active with keyboard, abrasion and monitor.

Now I bare to get WiFi working. I had a powered hub on my lath to affix Arduinos to my desktop machine. I affiliated the OTG cable to the hub’s ascribe and acquainted in the keyboard, abrasion and WiFi. The Zero booted accomplished and saw all the USB devices.

In the high appropriate of the GUI there’s an figure for networking. A appropriate bang produced a account of wireless networks. Clicking on the name for my abode arrangement presented a chat box for entering the accessible aggregate key (PSK). That’s not action to assignment for me because I aloof use WEP security. My router supports WPA but not all the phones, laptops, TVs, etc about the abode can handle it so I’ve remained with that akin of (in-)security.

My bond was that wpa_gui came installed with Raspbian, but either my anamnesis is amiss or they alone it with this distribution. wpa_gui is a GUI appliance that lets you bureaucracy WiFi. After wpa_gui I couldn’t get the WiFi alive through the GUI. I searched for command band bureaucracy appliance my desktop browser but it seemed easier to backslide to alive with a Pi 2.

How to create shared folder on Windows Remote Desktop from Ubuntu .. | remmina windows 10

I pulled out a Pi 2, absorbed it up, acquainted in the 100 ft arrangement cable that is aloof for this purpose, and popped in the SD agenda from the Zero. It booted accomplished and abundant faster than the Zero. With networking working, I loaded wpa_gui. While I was on the faster arrangement I ran updates and upgrades to get the latest software versions. There weren’t abounding changes. Back I capital to admission the Zero over the arrangement appliance RDP I additionally loaded xrdp.

Still on the Pi 2, I got the WiFi alive appliance wpa_gui after any hassles and acclimated the Pi agreement account – it’s at Menu | Preferences – to change the host name to pizero to analyze it from my added Pis. I’ve had as abounding as 3 Pis active at the aforementioned time so they charge altered names.

I additionally bureaucracy and activated the RDP admission from my desktop. My desktop is Ubuntu 14.04 so my RDP appliance is Remmina RDP. I affected one of the added Pi access and afflicted the name of the ambition apparatus to pizero.local to accomplish it all work. The xrdp server on the Pi didn’t crave any setup.

With all that completed on the Pi 2, it was aback to the Zero. It all formed with the KVM and WiFi acquainted into the USB hub.

Time to get brave. I broken the USB hub and HDMI cable, put the WiFi dongle on the OTG cable and powered it up. Afterwards cat-and-mouse a moment I approved the RDP connection. Success again!

At this point abstemiousness kicked in and I adored SD image.

Download Remmina Linux 9.9 | remmina windows 10

The administration of Raspbian appropriate by the Zero is alleged Jessie. The antecedent version, the one I approved to use, is Wheezy. As you apparently apperceive from appliance assorted OSs on desktop you can advancement one adaptation to another. So I approved it.

I went aback to the Wheezy SD agenda on a Pi 2 and ran the afterward commands:

This action took a reeeeaaaalllllyyy continued time. You can’t airing abroad because there are prompts throughout that charge to be answered. The best you can do is assignment on article abroad and accumulate an eye on the Pi’s action LED. As continued as it’s aflame the action is working. If not, it’s cat-and-mouse at a prompt.

It assuredly completed and ran. Still no luck on the Zero. It produced the aforementioned 8 flashes on the LED.

I haven’t run this for actual continued on the Pi 2, so cannot assure you that it is a solid advancement to Jessie. The acumen for aggravating this is there are a cardinal of installs that will booty a while to carbon on a beginning install – Eclipse, Robot Operating Arrangement (ROS), OpenCV. I may not appetite those on the Zero – maybe ROS – but this was a acceptable alibi to try the administration advancement back I will appetite them on the Pi when I advancement to Jessie.

Having installed the new Raspbian Jessie for the Zero and approved the advancement on the Pi 2 I now apperceive what to do aback I accouterment a austere activity on the Zero or Pi 2. I’m not adequate with the advancement and will apparently not chase that path. My abutting footfall is to put the Jessie Lite adaptation on the Zero and set up the adeptness to cantankerous abridge from my desktop to that system.

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The Zero is a acceptable accession to the Pi family. While slower than its ancestors the aberration is not that great. For example, the GUI was not abrupt but at the allowance of usability. It is absolutely absolutely accessible as an anchored controller, abnormally considering it costs aloof $5.00.

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[lokibones]

Our European tour has been rescheduled to March of 2021. Here is the new schedule. See you out there! Tue 09.03 - Prague (CZE) “Futurum” Wed 10.03 - Bratislava (SVK) “Randall” Thu 11.03 - Budapest (HUN) “Durer Kert” Fri 12.03 - Zagreb (HRK) “Boogaloo” Tue 16.03 - Kassel (GER) “Goldgrube” Wed 17.03 - Essen (GER) “Don’t Panic” Thu 18.03 - Berlin (GER) “SO36” Fri 19.03 - Osnabruck (GER) “Bastard Club” Sat 20.03 - Stuttgart (GER) “Club Cann” Sun 21.03 - Vienna (AUT) “Viper Room” Tue 23.03 - Poznan (POL) “U Bazyla” Wed 24.03 - Warsaw (POL) “Poglos” Thu 25.03 - Krakow (POL) “ZetPeTe” Fri 26.03 - Lichtenfels (GER) “Paunchy Cats” Sat 27.03 - Koln (GER) “MTC” Sun 28.03 - Weinheim (GER) “Cafe Central” Tue 30.03 - London (UK) “New Cross Inn” Wed 31.03 - Wolverhampton (UK) “KK’s Steel Mill” Thu 01.04 - Manchester (UK) “Rebellion” Fri 02.04 - Belfast (UK) “Limelight2” Sat 03.04 - Dublin (EI) - “Voodoo Lounge” Sun 04.04 - Bridgwater (UK) “The Cobblestones” Wed 07.04 - Geleen (NLD) “Cafe De Meister” Thu 08.04 - Amstelveen (NLD) “P60” Sat 10.04 - Hamburg (GER) “Logo” Tue 13.04 - Oslo (NOR) “John Dee” Wed 14.04 - Linkoping (SWE) “Platens Bar” Thu 15.04 - Stockholm (SWE) “Debaser Strand” Fri 16.04 - Sundsvall (SWE) “Club Destroyer” Sat 17.04 - Gothenburg (SWE) “Musikens Hus” More dates will be added soon! #michalegraves #misfits #nimvind #americanpsycho #famousmonsters #rescheduled #americanmonster #tour #europe #wbgear #theGEARyouNEED #ernieballmusicman https://www.instagram.com/p/B_NXdi9F5rx/?igshid=1pd3kgg016k2s

[illyria-and-her-pet]

Aliya is giving a live interview on SportsFM radio on 14.04. I'm live blogging the main points here: Aliya’s talking about her cat Lisa. The cat is the boss in their family and keeps her company when Alexey, her husband, if away. She’s mostly focusing on her studies right now, she’s getting a BA in gymnastics coaching and is supposed to finish right now. This program was the easiest to combine with training, so she decided to study there even though she doesn’t want to be a coach. And she thinks it’ll help her to earn money while she’s figuring out what she wants to do with her life. She believes she’s too gentle to be a coach, because in order to raise champions the coaches have to be tough on the gymnasts. Aliya’s favorite football team is Spartak. She would want to visit their next game, but there are no tickets left. She says that her husband offers her a lot of support. They can also understand the need to go to training camps and competitions. She started getting really good at bars when Grebyonkin started training her on this apparatus and he was able to figure out the routines that worked her. She doesn’t have favorite apparatuses or the ones she dislikes. Although, sometimes she doesn’t like a specific apparatus when something isn’t working out and she’s getting frustrated. She doesn’t have any rituals before competitions and doesn’t really believe in good luck charms. The most important thing is to have the right attitude right before going on the apparatuses. She was very nervous in London and wanted to please all the fans, and her mom said to her: compete just for me, don’t think about everyone else. So, she did. In Rio, on the other hand, the fans helped to motivate her, because she thought she can’t give up now or do a bad routine because people count on her, so she has to compete well for them. She liked the movie “Champions” (fictionalized story of Khorkina, Karelin and Popov) and thinks that there should be more movies about gymnasts. She wanted to retire from gymnastics several times when she was mentally exhausted. Her main motivation for coming back was always the joy of gymnastics – she likes to compete. She was the most tired in the summer of 2015 and was seriously thinking about retired. Going to classes in her university was a good distraction then and helped to get through this tough period. She really wants to go to Tokyo. She doesn’t know if there ever was a 3-time uneven bars Olympic champion, but if there wasn’t she hopes to be the first. She wouldn’t focus just on bars for Tokyo, though, she wants to do everything she can to help the team as well. She knew that Simone Biles is unreachable at Rio, so she just tried to compete her best and not to think about her competitors. She’s asked about doping allegations against Biles (hacked TUE for ADHD medication) and she’s very diplomatic about it, she says she thinks her competitors are honest and she’s trying not to read about any rumors or allegations. She’s asked how her husband feels about the fact that she’s a more successful athlete. She says they don’t discuss this stuff and that he’s only at the beginning of his career, while she’s already close to the end. Her favorite sport is rhythmic gymnastics. Her dad was told that wrestlers’ daughters are slated to become good gymnasts, so that’s why he signed her up for gymnastics. She’s asked whether she was nervous to meet Putin during the banquet for Russian Olympians and he seemed a regular person to her, she wasn’t particularly nervous to meet him. She’s asked about her predictions for Russian girls at the Euros next week. She thinks that they have good medal chances, despite the fact that Paseka had a back injury. The prize car, BMW, was too expensive to keep and, while she liked to drive it, she wanted something more sensible and got a Toyota instead. She’s asked what are the hardest elements for her on bars and it’s Stalders. Her favorite city is Krasnodar (where her husband is from). She likes the Hunger Games movies. Her favorite holiday is New Year. She doesn’t like to eat onions. She doesn’t know what she would do if she wasn’t an athlete and she doesn’t want to think about it. She really liked Switzerland when she went to Euros last year, it was very beautiful. She doesn’t have any hobbies. She’s asked whether she’s expecting a boy or a girl, but she says it’s a secret. She’s asked whether she ever tried to do a Korbut flip and says she never did, because it’s prohibited now.

[188vpn]

OpenSSH 安全配置备忘

下面是基于 Ubuntu Server 14.04 的 OpenSSH 配置说明，其他发行版的应该是类似的

默认 ubuntu 是没有安装 openssh-server 的，首先安装 sudo apt-get install openssh-server

安装好以后就自动启动了，此时默认运行的端口在 22，简单的话通过 ssh {user}@{host} 的方法就能远程访问了，当然为了保证安全性，建议做两件事，一是将默认端口改掉，二是只允许通过密钥连接，禁止输入用户名密码直接登录

在服务器修改上面2点的配置以前，我们可以先在客户端执行 ssh-keygen，根据具体的提示生成 RSA 的密钥对，最简单的就是一路回车

将生成的公钥 id_rsa.pub 放到服务器需要登录的用户验证文件中，一般为 /home/{user}/.ssh/authorized_keys，可以将内容 cat…

[for-the-user]

docker, aufs and ubuntu prob-lamos

$ docker-machine create --driver generic --generic-ip-address=127.0.0.1 --generic-ssh-key /root/.ssh/id_rsa --generic-ssh-user root mylocalmachine Running pre-create checks... Creating machine... (mylocalmachine) Importing SSH key... Waiting for machine to be running, this may take a few minutes... Detecting operating system of created instance... Waiting for SSH to be available... Detecting the provisioner... Provisioning with ubuntu(upstart)... 127.0.0.1:2376: read: connection reset by peer You can attempt to regenerate them using 'docker-machine regenerate-certs [name]'. Be advised that this will trigger a Docker daemon restart which might stop running containers.

** So docker-machine installs/updates the docker daemon and changes the defaults to use the aufs storage driver.

$ cat /etc/default/docker DOCKER_OPTS=' -H tcp://0.0.0.0:2376 -H unix:///var/run/docker.sock --storage-driver aufs --tlsverify --tlscacert /etc/docker/ca.pem --tlscert /etc/docker/server.pem --tlskey /etc/docker/server-key.pem --label provider=generic '

aufs is not properly supported on ubuntu. When this is set, and docker daemon is restarted, docker will start like this:

/usr/bin/dockerd -H tcp://0.0.0.0:2376 -H unix:///var/run/docker.sock --storage-driver aufs --tlsverify --tlscacert /etc/docker/ca.pem --tlscert /etc/docker/server.pem --tlskey /etc/docker/server-key.pem --label provider=generic --raw-logs

... and running docker ps or any other docker command will give:

Cannot connect to the Docker daemon at unix:///var/run/docker.sock. Is the docker daemon running?

... this value needs to be set to "devicemapper" in /etc/defaults/docker so the docker daemon is running with:

/usr/bin/dockerd -H tcp://0.0.0.0:2376 -H unix:///var/run/docker.sock --storage-driver devicemapper --tlsverify --tlscacert /etc/docker/ca.pem --tlscert /etc/docker/server.pem --tlskey /etc/docker/server-key.pem --label provider=generic --raw-logs

... then:

$ docker-machine ls NAME ACTIVE DRIVER STATE URL SWARM DOCKER ERRORS mylocalmachine - generic Running tcp://127.0.0.1:2376 v17.06.0-ce

...to actually avoid this whole problem in the first place, its recommended to install some extra packages BEFORE installing docker on the system, so devicemapper will not be used:

sudo apt-get install linux-image-extra-$(uname -r) linux-image-extra-virtual

[t-skgm]

VPSで遊ぶ(1): 契約〜準備

VPSで遊んでサーバーについて覚える。

VPSを契約する

友人が既に利用しており、安価でもあるためServersManのServersMan@VPSを契約してみた。 選択したスペックは以下の通り

プラン: Entry

OS: Ubuntu 14.04 LTS (64bit)

メモリ: 1GB

HDD: 50GB

IPv6/IPv4: 1個

価格: 467円(税抜)/月 = 6052円(税込)/年

お試しとしては機能十分だし、値段もお手頃だと思う。

あと、自分の環境は以下の通り

macOS Sierra 10.12.5

iTerm2

sshで接続する

とりあえずrootでログインしてみる

ssh -p [portnumber] -l root [ipaddress]

おお…。

いろいろ下準備する

## とりあえず諸々アップデートして、ユーザー作る apt-get update apt-get upgrade # rootのパスワード変更 passwd root # ユーザー作る adduser newuser # rootになれるか試す su newuser ## rootに直接ログインするのを禁止する # 一度ログアウト、newuserでログインし直す exit # rootに昇格 su - # 設定編集 vi /etc/ssh/sshd_config #=> PermitRootLogin no にする # ついでに # RSAAuthentication yes # PubkeyAuthentication yes # AuthorizedKeysFile .ssh/authorized_keys # も確認。 # ssh再起動 /etc/init.d/ssh restart

一度macに戻る

# .ssh作成 cd ~/ mkdir .ssh chmod 700 .ssh # ssh-keyを作成 cd ~/.ssh ssh-keygen -t rsa -b 2048 #=> AuthorizedKeysFileで指定した名前にする (authorized_keys) cat authorized_keys.pub | pbcopy

またVPSに移動

su - cd ~/.ssh vi authorized_keys # クリップボードの中身を「追記」し、:wq chmod 600 authorized_keys

# git最新版入れる apt-get install software-properties-common add-apt-repository ppa:git-core/ppa apt-get update apt-get install git

とりあえずこんな感じ。次はウェブサーバーをプリインストールのapache2からnginxに変更する。

[awsexchage]

Datadog APM を個人的にちょっとだけ触る http://ift.tt/2lpkEZL

2/17 追記 — 正式リリース

Datadog APM — ベータ版 — Datadog APM とは — 用語（ドキュメントの Terminology より引用させて頂きます） 　　—–　Trace 　　—–　Span 　　—–　Service 　　—–　Resource

試してみるばい — 今回 Rubyで試すくさ — Datadog Agentの導入 — 今回のアプリケーションは… 　　—–　ddtrace をインストール 　　—–　app.rb にちょっと追記 　　—–　アプリケーションを起動 — Trace 開始

最後に

2/17 追記

正式リリース

Announcing next-generation APM

http://ift.tt/2dgPcKh

To troubleshoot modern applications, you need to understand both the code and the infrastructure

 Datadog Instrastructure Monitoring 

www.datadoghq.com

これからちゃんと使っていくぞ！

Datadog APM

ベータ版

ベータ利用の募集をしていたので申し込んだことを忘れていて、久しぶりにダッシュボードをみたら Trace というメニューが増えていたので、「こやつが APM か！」ということで、Get Started に掲載されている手順をなぞってみたメモ。

尚、本記事はベータ版にて試した情報となるので、正式リリースされた際には画面の状態や実装等が異なること場合があるので注意されたし、されたし。

Datadog APM とは

Announcing next-generation APM

http://ift.tt/2dgPcKh

To troubleshoot modern applications, you need to understand both the code and the infrastructure

 Datadog Instrastructure Monitoring 

www.datadoghq.com

自分のざっくりとした理解としては…

NewRelic のようにアプリケーションのパフォーマンス（スループットやレイテンシ等）のメトリクスも収集することが出来る

まずは Python と Ruby そして Go からサポートを開始

従来から Datadog が得意としていたインフラ周りのメトリクスと組み合わせることでトラブルシューティングがやりやすくなる

APM 自体のデプロイは簡単

従来からの Datadog の機能はそのまま利用することが出来る

ということで、インフラのメトリクスは Datadog でモニタリングしつつ、アプリケーションのパフォーマンスは別のツールでモニタリングしているような状況があれば、Datadog 一つに統合することで、開発エンジニアと運用管理エンジニアは一つのダッシュボードでサービスのクオリティ向上の話しが出来るようになる…と思っている。

用語（ドキュメントの Terminology より引用させて頂きます）

Trace

Used to track the time spent by an application processing a single operation. For example, a trace can be used to track the entire time spent processing a complicated web request. Even though the request may require multiple resources and machines to handle the request, all of these function calls and sub-requests would be encapsulated within a single trace.

単一の操作を処理するアプリケーションが費やした時間を追跡するために使用されます。たとえば、複雑なWeb要求を処理するために費やされる時間全体を追跡するためにトレースを使用できます。要求が複数のリソースとマシンで要求を処理する必要がある場合でも、これらの関数呼び出しとサブ要求はすべて単一のトレース内にカプセル化されます。（Powered by Google 翻訳）

Span

Represents a logical unit of work in the system. Each trace consists of one or more spans. Spans are associated with a service and optionally a resource. Each span consists of a start time, a duration, and optional tags. For example, a span can describe the time spent on a distributed call on a separate machine, or the time spent in a small component within a larger operation. Spans can be nested within each other, and in those instances will have a parent-child relationship.

システム内の論理作業単位を表します。各トレースは、1つまたは複数のスパンから構成されます。スパンはサービスおよびオプションでリソースに関連付けられます。各スパンは、開始時間、継続時間、およびオプションのタグで構成されます。たとえば、あるスパンでは、別のマシンで分散呼び出しに費やされた時間、または大きな操作の中の小さなコンポーネントで費やされた時間を表すことができます。スパンは相互にネストすることができ、それらのインスタンスには親子関係があります。（Powered by Google 翻訳） 以下は Trace と Span の関係を表した図。（ドキュメントの Terminology より拝借。）

Service

The name of a set of processes that do the same job. For instance, a simple web application may consist of two services: a single webapp service and a single database service, while a more complex environment may break it out into 6 services: 3 separate webapp, admin, and query services, along with a master-db, a replica-db, and a yelp-api external service.

同じジョブを実行する一連のプロセスの名前。たとえば、単純なWebアプリケーションは、1つのWebアプリケーションサービスと1つのデータベースサービスの2つのサービスで構成されますが、より複雑な環境では3つの ‘webapp’、’admin’、 ‘master-db’、 ‘replica-db’、 ‘yelp-api’の外部サービスを提供しています。（Powered by Google 翻訳）

Resource

A particular query to a service. For a web application, some examples might be a canonical URL like /user/home or a handler function like web.user.home (often referred to as “routes” in MVC frameworks). For a sql database, a resource would be the sql of the query itself like select * from users where id = ?.

サービスへの特定のクエリ。 Webアプリケーションの場合、/ user / homeのような標準的なURLや、web.user.homeのようなハンドラ関数（MVCフレームワークでは “ルート”と呼ばれることが多い）の例があります。 SQLデータベースの場合、リソースは ‘select * from users where id =？’のようなクエリ自体のSQLになります。（Powered by Google 翻訳）

試してみるばい

今回は Ruby で試すくさ

現在、Python と Ruby と Go で APM を利用することが出来るようだが、今回は以下のドキュメントを参考にしつつ Ruby（Sinatra）で簡単なアプリケーションをこさえて、どんな感じで Datadog のダッシュボードで見ることが出来るのかを試してみることにする。

http://ift.tt/2lKOpXz

Datadog Agent の導入

APM を利用する為には、まず、Datadog Agent の最新版を導入しておく必要がある。

# 試す環境（だいぶん古い） $ cat /etc/lsb-release DISTRIB_ID=Ubuntu DISTRIB_RELEASE=14.04 DISTRIB_CODENAME=trusty DISTRIB_DESCRIPTION="Ubuntu 14.04.2 LTS" # Datadog Agent の導入 $ DD_API_KEY=xxxxxxxxxxxxxxxxxxxxxxxxxxx bash -c "$(curl -L http://ift.tt/1CG5qR4)"

/etc/datadog.conf を以下のように修正する。

$ sudo diff -u datadog.conf.original datadog.conf --- datadog.conf.original 2017-02-11 17:27:47.678033363 +0900 +++ datadog.conf 2017-02-11 17:29:35.482033755 +0900 @@ -1,5 +1,7 @@ [Main] +apm_enabled: true + # check_freq: 60 # The host of the Datadog intake server to send Agent data to @@ -223,3 +225,11 @@ log_to_syslog: no # syslog_host: # syslog_port: + +[trace.sampler] +extra_sample_rate=1 +max_traces_per_second=10 + +[trace.receiver] +receiver_port=17777 +connection_limit=2000

試した環境の都合上、trace.receiver の receiver_port を 17777 に設定しているが、後ほど導入する trace agent ではデフォルトは 7777 番ポートに収集した情報をポストするようになっている。（trace agent 側で設定を変更することが出来る） 設定が終わったら、Datadog Agent は再起動しておく。

sudo service datadog-agent restart

今回のアプリケーションは…

inokappa/oreno-application

http://ift.tt/2k0KiCP

oreno-application - 俺のアプリケーション

 GitHub 

github.com

この雑なアプリケーションを利用する。

ddtrace をインストール

早速、以下のように Gemfile に ddtrace を追加してインストールする。

source 'https://rubygems.org' gem 'sinatra' gem 'sinatra-reloader' gem 'ddtrace'

この ddtrace がアプリケーションの各種メトリクスを収集することになる。

app.rb にちょっと追記

以下のように app.rb に追記。

require 'sinatra' require 'sinatra/reloader' require 'ddtrace' # ここ追記 require 'ddtrace/contrib/sinatra/tracer' # ここ追記 # ここ追記 configure do settings.datadog_tracer.configure default_service: 'oreno-application', debug: true, trace_agent_hostname: '127.0.0.1', trace_agent_port: 17777 end enable :sessions USERS = [ { 'username': 'foo', 'password': 'foo01' }, { 'username': 'bar', 'password': 'bar01' }, { 'username': 'baz', 'password': 'baz01' }, ] get '/' do s = Random.rand # ここはちょっとウェイト入れたかったのでおまけ puts s # ここはちょっとウェイト入れたかったのでおまけ erb :index end post '/login' do s = Random.rand puts s sleep(s) user = USERS.select {|u| u[:username] == params[:username] && u[:password] == params[:password]}[0] if user != nil session[:username] = params[:username] redirect to('/main') else erb :error end end get '/main' do s = Random.rand puts s @username = session[:username] erb :main end get '/logout' do s = Random.rand puts s redirect to('/') end

configure ブロックでは以下の設定を記述することが出来る。（http://ift.tt/2lKOpXz より抜粋）

enabled: define if the tracer is enabled or not. If set to false, the code is still instrumented but no spans are sent to the local trace agent.

default_service: set the service name used when tracing application requests. Defaults to sinatra

tracer: set the tracer to use. Usually you don’t need to change that value unless you’re already using a different initialized tracer somewhere else

debug: set to true to enable debug logging.

trace_agent_hostname: set the hostname of the trace agent.

trace_agent_port: set the port the trace agent is listening on.

Trace において、service 名（上記の default_service で定義する値）が Datadog 上でアプリケーションを識別する為のキーのような役割となっているようだ。

アプリケーションを起動

試した環境の都合でポートは 3000 番で起動させた。

bundle exec ruby app.rb -o 0.0.0.0 -p 3000

アプリケーションを起動させたら、以下のようなスクリプトでガンガン虐めてみる。

簡単は HTML フォームのログイン画面にログインさせる phantomjs ファイル · GitHub

Trace 開始

ということで、正常に Datadog にメトリクスの情報が送信されると Trace > Trace Search から下図のように確認することが出来るようになる。

また、Trace > Services からは下図のようにサービスの一覧に app.rb 内の default_service で定義したoreno-application を確認することが出来る。

暫くアプリケーションにアクセスを掛けておくと以下のように、アプリケーション全体のレイテンシの分布や毎秒のリクエスト数等が記録される。

更に、リソース毎（今回の例だと各 URL のパス）の情報も確認することが出来る。

上図の場合だと/login へのアクセスに関するレイテンシ等を確認することが出来る。

最後に

ざっくりと Datadog APM のチュートリアルをしてみて以下のように感じた。

ちょっとしたコードの追加だけでアプリケーションのパフォーマンスを計測出来るという点では良い

既存のインテグレーションよりは一歩踏み込んだ感じ（既存のインテグレーションは自前でメトリクスに必要な数値を生成する必要がある）

まだ、ベータ版なのでこれから色々と改善が加えられていくと思うので、引続き触れる部分は触っていきたいと思うばい。

元記事はこちら

「Datadog APM を個人的にちょっとだけ触る」

February 27, 2017 at 02:00PM