#tw 2.09

[droctaviolovecraft]

TW: Body horror, gore/violence, parasitism, cannibalism

"My tapeworm tells me what to do, my tapeworm tells me where to go!"

Identification: Mr. Cannibal

Responsible Researcher: Dr. Öctavio Kalev

ANM #: ANM-667

Classification: Snit 🟡 | Contained ⭕️

Type: Humanoid, parasitic, cannibalistic, intelligent

Damage Type: Manipulative, physical, mental

Confinement: ANM-667 must be accommodated in a standard humanoid containment room designed to resemble a rustic, rural home consistent with 19th-century Alabama architecture. The room should feature wooden paneling, antique furniture, and prominent religious symbols of Southern Christianity, such as crucifixes and images of saints. ANM-667 has shown a preference for this aesthetic, which is believed to mitigate its more erratic behavior.

ANM-667 must be provided a daily meal consisting of exactly 1 kilogram of human meat, sourced from ethical and legally pre-approved suppliers. ANM-667 has expressed a preference for "younger and more tender" meat, but this request must not be granted under any circumstances. Any additional requests for "gourmet ingredients" or "more flavorful delicacies" must be denied and immediately reported to the Department Command.

No personnel are allowed within 2 meters of ANM-667 unless under direct orders. All personnel entering the containment area must undergo psychological evaluation before and after interaction, as ANM-667 has demonstrated an ability for subtle psychological manipulation.

Under no circumstances should ANM-667 have access to any medical instruments, particularly scalpels, knives, or any tools used for dissection. It must be restrained during interviews, with two armed guards present at all times. Any erratic behavior or attempts to perform surgery on itself or others will be met with immediate sedation.

Description: ANM-667 is a male humanoid, approximately 2.09 meters tall and weighing around 100 kg, with a robust yet strong body type, despite the absence of visible muscles. He has been identified as "Jarvis Trevor," a former resident of Alabama, USA. He is a red-haired Caucasian man who exclusively dresses in a chic yet outdated suit, reminiscent of early 20th-century fashion. Despite the age and deterioration of the garments, they have not fully degraded, suggesting some anomalous preservative properties.

The most notable feature of ANM-667 is the presence of ANM-667-B, a parasitic human fetus located inside his abdominal cavity. ANM-667-B is connected to ANM-667 by a large umbilical cord that visibly pulses. The fetus displays no observable cognitive function but behaves parasitically, compelling ANM-667 to consume human flesh to sustain it. Though the host does not seem to complain or find it "unpleasant" to have a fetus inside his abdomen, it appears he has grown accustomed to it. It is believed that ANM-667 no longer possesses most of his internal organs, having been replaced or consumed by ANM-667-B over time.

ANM-667 can voluntarily open his abdominal cavity, revealing ANM-667-B. This display is accompanied by the grotesque but precise retraction of his rib cage and flesh, exposing the fetus, still connected by its umbilical cord. During this process, ANM-667’s behavior changes drastically: his eyes roll back, his voice becomes higher-pitched, and he frequently makes macabre references to horror films, literature, and culinary arts.

When in this state, ANM-667 often engages in theatrical performances, singing or reciting famous lines from classic horror films. On one occasion, ANM-667 sang a distorted version of Sweet Home Alabama while holding his abdominal cavity open, interspersing the lyrics with graphic descriptions of cannibalism and dismemberment. Personnel noted that ANM-667 seems to take delight in these displays, exhibiting a perverse pride in the grotesque spectacle.

In his calmer state, ANM-667 speaks in a refined and gentlemanly manner and claims to possess significant knowledge of human anatomy, surgery, and the culinary arts. He refers to his cannibalistic urges as "gourmet needs" and describes the consumption of human flesh as both a biological necessity and an art form. On several occasions, ANM-667 has attempted to offer culinary advice or suggest recipes involving parts of the human body, which he refers to as "noble cuts."

Despite his refined demeanor, ANM-667 is highly manipulative and prone to sudden outbursts of erratic behavior. He has been observed attempting to charm personnel into providing additional "delicacies," and those who refuse are often subjected to his psychological games. ANM-667 seems to derive pleasure from causing discomfort or fear in those around him, though he remains calm and composed while doing so.

At all times, Jarvis Trevor maintains a straight posture, moving with deliberate grace, while his speech is calm, measured, and articulate, as if every word is chosen with utmost care. He frequently speaks like a scholarly aristocrat, often citing classic horror literature, such as Bram Stoker's Dracula or works by Edgar Allan Poe. ANM-667 takes particular pleasure in discussing anatomy, surgical techniques, and gourmet cuisine, frequently interspersing his explanations with gruesome details about his own cannibalistic tendencies.

He frequently requests access to classic works of horror, demonstrating an unusual attachment to the genre. Among his favorites are Frankenstein, The Picture of Dorian Gray, and The Strange Case of Dr. Jekyll and Mr. Hyde. ANM-667 has expressed admiration for the way these stories "understand the beauty of human fragility and transformation." He has also requested paper, ink, and quills on several occasions, claiming to be writing his own "treatise on the human condition." However, personnel have yet to review any completed works, as ANM-667 often burns his writings shortly after completing them, stating: "The world is not yet ready for such truths."

ANM-667 has shown a willingness to harm himself in order to feed ANM-667-B. In one notable incident, he calmly removed his own left eye using a scalpel and presented it to ANM-667-B. According to observers, he maintained his polite demeanor throughout the process, even apologizing to the staff for the "disturbance" his self-mutilation may have caused. ANM-667 has since replaced the missing eye with a vintage black eyepatch, which he wears with his usual sartorial elegance. When asked about the incident, ANM-667 simply smiled and said, "A necessary sacrifice. One must feed the body to sustain the mind."

Event Log – Frankenstein Experiment:

One of ANM-667’s most alarming behavioral incidents occurred shortly after he gained access to a copy of Frankenstein by Mary Shelley. ANM-667 appeared to be deeply fascinated by the novel, subsequently requesting additional medical textbooks and, notably, a book on human anatomy that included a section on early experiments with electricity in medical procedures. ANM-667 spent several days in a silent, meditative state after reading the novel, refusing all communication and meals.

On the sixth day, Dr. Jarvis broke his silence and requested access to a cadaver, under the pretext of demonstrating a medical procedure. His request was, of course, denied. However, two weeks later, during a containment breach event, ANM-667 somehow gained access to the medical wing, where he obtained a cadaver used for anatomical study.

Using an improvised defibrillator made from recovered equipment, ANM-667 attached electrodes to the chest of the cadaver and applied controlled electrical currents to the heart. What followed was a deeply disturbing display: the cadaver convulsed as the electricity passed through it, and after several minutes, the heart began to beat faintly. Although the body was by no means revived in the traditional sense, ANM-667's procedure managed to restore some degree of circulation to the lifeless cadaver. He described the experiment as "a tribute to dear Victor Frankenstein" while softly laughing to himself. Dr. Jarvis’s reaction to the partial success of the experiment was a mixture of triumph and curiosity.

Following the incident, ANM-667 was returned to his containment chamber, and the cadaver was promptly incinerated. ANM-667 has made no further attempts to revive the dead but has since spoken at length about "the possibilities of bringing life to the inanimate," drawing parallels between his parasitic relationship with ANM-667-B and the concept of resurrection.

He now frequently muses on the boundaries between life and death, often citing Victor Frankenstein’s own words: "What can stop the determined heart and resolved will of man?" ANM-667 has proposed that his own relationship with ANM-667-B is a form of "living resurrection," as the parasitic fetus sustains itself through the host's body, keeping both alive through a grotesque symbiosis. He has even suggested that his condition might be the "next step in human evolution," where death and life intermingle, not as opposites but as parts of a continuous cycle.

Despite the moratorium on providing ANM-667 with further scientific texts or any material related to resurrection, he continues to obsess over the topic. His fascination with the interplay between life, death, and electricity remains a potential threat, given his prior ingenuity in manipulating available resources to conduct such experiments. All personnel are advised to be vigilant and report any requests or suspicious activity from ANM-667 immediately. His erratic but brilliant mind remains a cause for concern.

Encounter Log ANM-667-6

Date: ██/██/20██

Location: Site-██, ANM-667's Containment Room

Subject: ANM-667 (Dr. Jarvis Trevor)

Secondary Subject: P-1622 (Male, 24 years old)

Note: P-1622 was selected for a routine interaction with ANM-667 due to his history of sociopathic tendencies and prior violent offenses. No prior interaction between ANM-667 and P-1622 was noted, and the purpose of this test was to observe Jarvis's behavior when introduced to an unfamiliar subject in a controlled environment.

[BEGIN LOG]

ANM-667 is seated in his containment chamber, impeccably dressed as always in his elegant, albeit outdated, suit. His eyepatch gleams faintly in the dim light, giving him an air of dark sophistication. He is sitting at a small wooden table, leafing through a copy of Edgar Allan Poe's The Tell-Tale Heart. His head lifts when the containment door opens, admitting P-1622 into the room.

ANM-667: (Closing the book gently) "Ah, another visitor. And quite a strong one, at that. How fortunate for us both."

P-1622 appears uncomfortable but maintains a neutral expression. Jarvis rises from his seat with slow, deliberate movements, his towering figure casting a shadow across the room. He approaches P-1622 with an air of gentlemanly grace, extending his hand.

ANM-667: "You’ll forgive me for not introducing myself sooner, dear guest. I am Jarvis Trevor—though I suspect you’ve heard me referred to by a more clinical designation. But here, in this moment, let us set aside those sterile titles, shall we?"

P-1622 hesitates, then shakes ANM-667's hand. His behavior suggests caution, though no outright hostility.

P-1622: "I’ve heard about you. They say you're… something else. But I don't see what’s so special."

ANM-667: (Smiling) "Ah, my dear boy, appearances are so deceiving. There’s much more to a man than he lets the world see. You and I, we're not so different, are we?"

P-1622 frowns slightly, uncertain of where ANM-667 is steering the conversation. Jarvis steps closer, his presence magnetic, yet subtly menacing.

ANM-667: "I sense you’re a man of desires. Hidden ones, perhaps repressed. But tonight, I offer you something… more intimate. A moment of tenderness in such a barren world. What do you say?"

P-1622 looks visibly confused, shifting uncomfortably.

P-1622: "What are you talking about?"

ANM-667 glides gracefully to a small, antique phonograph in the corner of the room. With a smooth motion, he winds the crank and sets the needle on the record. A slow, melodic tango begins to play. Jarvis turns back to P-1622, his face softening into a near-loving smile.

ANM-667: "Dance with me."

P-1622: (Taken aback) "What? No way. I don’t dance."

Jarvis closes the distance between them, his voice low, almost a whisper.

ANM-667: "Oh, but you will. Tonight, you and I will share something beautiful, something eternal. Come now, don’t be shy."

ANM-667 gently takes P-1622’s hand, his grip firm yet tender. P-1622 initially resists, but ANM-667’s persuasive, almost hypnotic charm draws him in. Slowly, they begin to move to the rhythm of the music, Jarvis leading with smooth, practiced steps. P-1622 follows, his discomfort gradually giving way to an odd sense of calm, as if enchanted by the elegance of the moment.

ANM-667: "You see? How the body flows, how the heart quickens. There’s art in this, my dear. In every movement, in every breath. Do you feel it?"

P-1622 remains silent, but his expression softens as he is drawn into the rhythm of the tango. They continue to dance, their bodies swaying in perfect harmony. Jarvis’s eye gleams with a predatory intensity, though his face remains serene, almost affectionate. After several moments, ANM-667 gracefully twirls P-1622, pulling him back into his arms, their faces just inches apart.

ANM-667: (Softly) "There, in your eyes. That flicker of understanding. You know what this is… don’t you?"

P-1622’s breath catches in his throat as ANM-667 leans in closer, brushing his lips in a tender, almost loving kiss. As ANM-667 pulls away, he gazes into P-1622’s eyes with a mixture of desire and inevitability.

ANM-667: "And now, my love… the final act."

Before P-1622 can react, ANM-667’s arm extends, pulling out the scalpel he had concealed within his sleeve. In one fluid motion, he drives the blade deep into P-1622’s chest, right between the ribs, aiming directly for the heart. The music swells as ANM-667 lowers P-1622’s body gently to the floor, cradling him as though they were still dancing.

ANM-667: (Whispering) "Shhh… it’s alright. It’s all part of the dance."

P-1622 gasps, his eyes wide with shock and confusion, blood spilling from the wound. Jarvis holds him close, stroking his hair with one hand while the other keeps the scalpel firmly in place.

ANM-667: "There, there. You were such a perfect partner, my dear. It’s a pity it has to end this way, but life is like that, isn’t it? All things must come to an end, but the beauty of it… the elegance of the finale… that’s something worth savoring."

P-1622’s body spasms, then goes limp in ANM-667’s arms. With a soft sigh, ANM-667 withdraws the scalpel, wiping it clean on a handkerchief before tucking it back into his pocket. He leans down, pressing a final kiss to P-1622’s lips.

ANM-667: "Goodnight, my dear. You were magnificent."

Jarvis stands, adjusting his suit with meticulous care. He turns off the phonograph, allowing the room to fall into silence. With a calm smile, he steps away from the body, returning to his seat and picking up his book once more as if nothing had happened.

[END LOG]

---

Note: After reviewing the log, all personnel involved in monitoring ANM-667 were placed under psychological evaluation due to the disturbing nature of the event. It is believed that ANM-667's behavior during the encounter was a carefully orchestrated manipulation, demonstrating his ability to blend charm, seduction, and murder into a single act of calculated cruelty.

[episodeoftv]

Round 2 of 8, Group 4 of 4

propaganda and summaries are under the cut (May include spoilers)

Bones: 2.09 Aliens in a Spaceship / 2.10 The Headless Witch in the Woods

tw Dead bodies (two kids), someone gets hit by a car, emergency first aid, blood and gore.

When Hodgins and Brennan are buried alive, it's a race against time and a kidnapper who doesn't negotiate. / The headless skeleton of a young man is found in a state forest. Brennan and Booth's investigation becomes entangled in the local legend of a woman who was decapitated as a witch in the 1780s and is said to still haunt the forest.

Bones and Hodgins have to use their knowledge to help save themselves before they run out of air, while the rest of the crew frantically try to find them in time. Angst, science, and murders. What more could you ask for?

Lego Ninjago: 3.08 Episode 34 The Titanium Ninja

TW major character death

The ninja repair the broken Arcturus ship to return home. When they do, they find the Overlord has used the golden weapons to return to the physical world as the all powerful Golden Master.

First on screen character death of the show one of the main characters gets incinerated by a god as he sacrifices his life to defeat them so many people dropped the show after just hearing the music played during they scene can make me cry

There are so many good lines from his funerals scene they describe Zane so well the guy who died had ice powers and the funeral took place in July and! It! Started! Snowing! When! Kai! Gave! His! Eulogy!

I am so very emotional about it I love it so so much you would not believe

[thyladyx]

What the hell?? Why isnt isaac considered 2nd in command in fic? Hes the first one to get his shit together in 2.09

[joshdonnas]

a gifset for every tww episode (in no particular order): galileo (2x09)

“Some of them will Iaugh and most won't care but for some, they might honestly see that it's about going to the blackboard and raising your hand.”

[strangerthingsedits]

2.09: The Gate

Eleven makes plans to finish what she started while the survivors turn up the heat on the monstrous force that’s holding Will hostage.  

[and-i-stare-at-your-hands]

HOW THE MONSTER CAME TO BE

‘Because not all monsters were monsters in the beginning. Some are monsters born of sorrow’

- Fredrik Backman, from My Grandmother Asked Me to Tell You She’s Sorry

‘Every monster is in this way a double narrative, two living stories: one that describes how the monster came to be and another, its testimony, detailing what cultural use the monster serves’

- Jeffrey Jerome Cohen, from Monster Theory (Seven Theses)

Wentworth // 2.09 The Fixer // 8.10 The Enemy Within //

[toadstooltruth]

hyperion city...

[ivanovaisalwaysright]

Teen Wolf Rewatch - Party Guessed 2.09

Gerard, insisting Victoria has to kill herself: You’re getting your tenses mixed up. Your wife is already dead. That thing over there is just a cocoon waiting to hatch.

Also Gerard: *in the middle of plan to turn self into werewolf and alpha to avoid cancer*

This is why people hate you more than villians with bigger kill counts like the beast.

[behindfairytales]

[gif pack update] By clicking the source link you will find 119 gifs for roleplay, made by myself, of Joshua Sasse in Galavant (2.09-2.10). Joshua is white (british, belgian & ashkenazi jewish) with brown hair and green eyes, born in 1988, he was 26 to 28 yo at the time of filming. THE PACK IS NOW COMPLETED (#484 gifs)

Please check the rules TW/display of: battlefield, armors, fighting, violence, weapons, swords, zombies, touching, kissing, wedding (ft. Karen David, Timothy Omundson, Luke Youngblood & Vinnie Jones)

[guide4cj]

season 1

1.01 pilot - obviously the setup for the series, should not be skipped

1.02 wendigo - direct continuation from the plot, further establishes sam and dean’s characters/relationship

1.03 dead in the water - optional, but continues to establish dean’s character, including some sweet moments between him + a mute kid with insights to dean’s trauma re: his mom’s death

1.05 bloody mary - optional, but has a scene near the end that explores sam’s guilt regarding jess’s death (it just depends on how invested you are in that part of his character on whether or not you’ll wanna watch) 

1.06 skin - the beginning of the winchesters vs. the police side plot, dean’s first public “death”

1.09 home - sam and dean return to the house their mom died in for a case, john appears briefly at the end (so tw for jdm :/)

1.10 asylum - optional but has some good moments for sam

1.11 scarecrow - first appearance of recurring character meg who becomes a huge part of the series, also one of my favorite hunts from s1 personally

1.12 faith - dean’s first actual death, reaper lore, huge foreshadowing for s4

1.13 route 666 - optional, but provides background information for dean regarding relationships and love, features cassie robinson my angel

1.14 nightmare - very important to sam’s character and the s2 finale

1.15 the benders - optional, but one of my top five s1 eps; no big lore dumps, but the monsters are human, and it’s interesting to see sam and dean deal with that

1.16 shadow - return of meg and john

1.18 something wicked - flashbacks to childhood that establish john is a shitty parent, overall a very emotional episode

1.19 provenance - optional, but features a character named sarah who is the first character sam really has an attraction towards since jess’s death (she also makes a brief return in s8)

1.20 dead man’s blood - first introduction of vampires, john is here, very important worldbuilding which sucks because like i said, john is here

1.21 salvation - penultimate ep of s1, john is here too :/  but important for the plot

1.22 devil’s trap - season finale, bobby’s first appearance i’m pretty sure (and he’s their real dad and i love him), obviously very important

season two

2.01 in my time of dying - dean is dead again, john dies in this ep, generally an important episode (though this is true for all first eps i guess)

2.02 everybody loves a clown - first appearance for ellen and jo and ash whom i love, dean and sam deal with their grief over john dying

2.03 bloodlust - optional, introduction of gordon who shows up again (he eventually tries to kill sam and dean, this ep is the setup for that. there’s some commentary on humanity and when a monster isnt a monster etc but i don’t think skipping it will cause too many issues. it just depends on your interest in this based off of the desc i guess)

2.05 simon said - spiritual sequel to 1.14, introduces a character important to the s2 finale, continues to explore sam’s psychic abilities, etc

2.06 no exit - optional; the return of jo and ellen. viewing depends on your interest in them i guess.

2.07 the usual suspects - sequel to 1.06, dean vs. the cops again, which is a pretty important part of his character overall imo

2.08 crossroad blues - optional, but has a lot of lore for demons and crossroads, foreshadowing/set up for s3 (plenty of the lore can be picked up without this ep/will be repeated but i like this one, personally)

2.09 croatoan - prequel to 5.04 ! poetic cinema. apocalypse vibes

2.10 hunted - optional. continuation of 2.03, with the introduction of another character similar to max from 1.14 and andy from 2.05 who will be important to the s2 finale, but if you aren’t interested in gordon then the recap for the s2 finale will cover it

2.12 nightshifter - continuation from 2.07, more winchesters vs. the cops, introduces victor my beloved

2.13 houses of the holy - optional, has some commentary on the way sam and dean view religion that continues from 1.12 and adds perspective to s4 but not exactly necessary

2.14 born under a bad sign - optional, but kind of an important episode for sam. spoiler is that he’s possessed by meg and there’s some uncomfortable scenes regarding what she makes him do while possessed (and is one of the reasons i dislike her) 

2.15 tall tales - optional bc i feel like i’m listing too many as essential :( it does introduce an important character (the archangel gabriel who is masquerading as a trickster) but i feel like the eps he appears in after will have sufficient enough recaps covering the events of this ep to catch you up

2.18 hollywood babylon - extremely optional this ep is just very comforting to me for some reason. dean and sam are working on a horror movie set that ends up having real ghosts and it’s just fun

2.19 folsom prison blues - optional, but the next thrilling installment in the winchesters vs the cops. victor from 2.12 returns. i like this ep a lot but if you aren’t interested in this subplot it can be skipped

2.21 + 2.22 all hell breaks loose - two part season finale. actually i won’t spoil this for you but it is important (just like with the first eps of every season i think finales will always be relevant)

season three

3.01 the magnificent seven - deals with fallout from the s2 finale, explores the hunting community a little more. introduces ruby, an important character

3.02 - introduction of lisa and ben (who are important to s5/6)

3.03 bad day at black rock - optional, but introduces bela my beloved (maggie twd). continues gordon’s plot from s2 as well

3.06 - optional, the return of bela (my beloved)

3.07 fresh blood - optional, the finale to gordon’s plot

3.08 a very supernatural christmas- optional, but there’s some childhood flashbacks and in general it’s a cute episode and i typically hate christmas eps skjfnskjn

3.10 dream a little dream of me - dean talks shit about john and in general talks about his feelings and it hurts me

3.11 mystery spot - the return of the trickster/gabriel (still not revealed as an angel), dean dies 100+ times, it seems dumb but is important

3.12 jus in bello - winchesters vs cops again! victor returns

3.13 ghostfacers - optional. i have no good reason for you to watch this im just obsessed with it

3.15 time is on my side - penultimate ep, deals with a lot of dean’s feelings, bela returns/this concludes her arc

3.16 no rest for the wicked - finale, dean dies :(

[a-polite-melody]

Because I’m seeing a bunch of... let’s call it “outdoor cat discourse,” on my dash I’m feeling like talking about this.

I’m a huge proponent for letting cats have supervised time outdoors. Harness and leash training a cat and letting them out or walking them, or getting cat fencing and letting them out in your yard while you’re out there offers cats wonderful mental and physical enrichment.

I’ve, however, noted that this needs to be supervised. Just like when someone takes their dog outside, people need to be supervising their cats. Not doing so is irresponsible.

The first reason is because of the dangers to your cats. And this is the most often harped upon point in these posts, so I’m going to keep this short. Cats can be hit by a car on any road where a car may go by. Cats can be scooped up by predators. Cats can eat something or drink something that is toxic or contaminated with something that is toxic. Hell, cats can be assumed to be strays, caught by people, and brought to a shelter or kept by the people who caught them, which means you’ll possibly not ever see your cat again.

But, as I said, most people focus on that aspect. I’m going to focus in on this other point of the damage that cats can do. I think the reason this isn’t focused on as much is that it needs numbers and sources. But I just so happen to have those numbers and sources because of a class I took (part of). I kept meaning to go back and look through the lectures and added readings about this issue whenever I’d see posts about outdoor cats, but never did because looking through my notes is a little painful because of having to take medical leave from school for mental health issues. But I’m worked up enough about this now. So here we go.

Edit: But first! If you want to read a more in-depth post on dangers to outdoor cats, this one is very good, but tw for images of diseases, parasites, etc. [x]

Incidental take is the human-caused accidental killing of unintended animals. As an example, the most well known form of incidental take is fishing bycatch - often when talking about the process of trawling for fish, meaning dragging a net behind a boat. The trawling is done with the intention of catching large quantities of certain kinds of fish. However, because this method is very imprecise, other unintended types of fish are caught in the net and usually end up dying in the process.

Why do I mention this? Because outdoor cats contribute to the incidental take of native species in the area they roam - mostly birds, but also some rodents. And this, indeed, falls under incidental take, because the killing of these animals isn’t intended, and also would not occur without the intervention of humans. (Some people do keep cats as mousers for barns, in which case the killing of mice would not be considered incidental take, but intended extermination of pests.)

Cats, as in our domesticated pet cats, are not native to most places. First of all, domesticated cats  were domesticated (conservatively) around 9,000 years ago [x], making them very much removed from being natural parts of any ecosystem anyway. But on top of that, even if there wasn’t this separation between the wild and domesticated counterparts, the only places where domesticated cats could be “native” to would be in the middle east. [x]

The wildcat DNA closest to that of house cats came from 15 individuals collected in the deserts of Israel, the United Arab Emirates, Bahrain and Saudi Arabia, the researchers say

As a result, wildlife in any place beyond the middle east (and even in the middle east, I’d argue, considering domesticated cats have been removed from the ecosystem and have been diverging from wild populations for 9,000+ years) have not adapted to dealing with cats as predators. If not for our domesticating cats and transporting them around the world, and then releasing them to be “outdoor cats,” wildlife in Africa, East Asia, Europe, The Americas, and Oceania would never have come in contact with cats. These populations would be untouched by domesticated cats.

Anyway, the reason I wanted to establish that the killing of wildlife by domesticated cats is incidental take is because the literature I was shown specifically deals with sources of incidental take from bird populations in Canada and compares these figures. In stating that, it’s important to acknowledge that the ability to apply this data worldwide is definitely not perfect. But, these numbers very likely would be similar in any developed area of the world. These numbers are also from 2013, so they’re not completely up to date, but are within 5 years.

Here are the estimations of incidental take annually in Canada:

Window/Building Collisions [x]: 16-42 million Transmission Line Collisions [x]: 2.5-25.6 million Vehicle Collisions [x]: 11-16 million Industrial Forestry [x]: 616 thousand-2.09 million (nests, could be more birds) Agricultural Machinery [x]: Less than 1 million Offshore Activities [x]: Less than 1 million Oil and Gas Extraction [x]: Less than 1 million Wind Turbines [x]: Less than 1 million

I’ve purposefully left out cats, because I want you to see the above numbers. Take that in. The highest estimate of one single source of incidental take for birds is 42 million annually. That’s a lot of birds. The ones up at the top of the list are big numbers. Possibly 42 million and possibly 25.6 million are pretty devastating numbers.

How about the estimation of incidental take annually in Canada by cats?

Outdoor Cats [x]: 100-350 million

Yes you’re reading that right, and no that’s not a typo. The minimum estimated amount is 100 million. That’s more than double the highest estimated amount for the second leading cause of incidental take of birds. That’s more than all of the top estimates of the other sources combined - using 1 million for the “less than 1 million” estimates, even though for the most part those numbers are significantly less than 1 million.

If that’s not enough to make you think that this is a serious issue for wild populations, how about we pair that with this quote from the beginning of the abstract from the article I got that number from:

Predation by house cats (Felis catus) is one of the largest human-related sources of mortality for wild birds in the United States and elsewhere, and has been implicated in extinctions and population declines of several species. [emphasis mine]

And this is just birds. This doesn’t take into account rodents and insects that might also be killed by outdoor cats when unsupervised, as well as the animals that would be affected by the dwindling and even extinction of those bird species because of their connection in the food chain.

So, by all means, let your cats outside on a leash or in a fenced in area under your supervision. It’s fantastic enrichment. But please, please, please don’t be irresponsible and let your cat out unsupervised and contribute to this problem.

[stock-filter]

Stock daily Filter Report for 2021/06/24 05-40-09

*******************Part 1.0 Big Cap Industry Overiew********************* big_industry_uptrending_count tickers industry Basic Materials 3 Communication Services 13 Consumer Cyclical 10 Consumer Defensive 3 Energy 6 Financial Services 13 Healthcare 27 Industrials 9 Real Estate 11 Technology 32 **************************************** big_industry_downtrending_count tickers industry Basic Materials 8 Communication Services 6 Consumer Cyclical 10 Consumer Defensive 10 Financial Services 16 Healthcare 7 Industrials 20 Real Estate 2 Technology 15 Utilities 8 *******************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 184 CDAY 1 0.0 big-cap Long NaN 5.0 1.047559e+08 5.0 Technology Mean Return: nan Mean Day/Week: inf Accuracy:nan *******************Part 1.2 Big Cap Short Entry SPAN MACD********************* big_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 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 55 ROKU 2 4.51 big-cap Long NaN 22.0 3.622331e+09 5.0 Communication Services 75 U 1 0.00 big-cap Long NaN 24.0 4.222266e+08 5.0 Technology 80 MTCH 1 0.00 big-cap Long NaN 9.0 3.282743e+08 5.0 Communication Services 203 CABO 4 -2.11 big-cap Long NaN 24.0 1.057108e+08 5.0 Communication Services 184 CDAY 1 0.00 big-cap Long NaN 5.0 1.047559e+08 5.0 Technology Mean Return: 1.2 Mean Day/Week: 4.5 Accuracy:0.5 *******************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 67 MET 3 -0.72 big-cap Short NaN -30.0 2.221515e+08 -5.0 Financial Services 41 TFC 4 3.44 big-cap Short NaN -16.0 1.950766e+08 -5.0 Financial Services 39 CB 3 0.29 big-cap Short NaN -11.0 1.718264e+08 -5.0 Financial Services 217 ZNGA 2 -0.58 big-cap Short NaN -7.0 1.658790e+08 -4.0 Communication Services 156 MTB 2 -0.35 big-cap Short NaN -21.0 9.635734e+07 -5.0 Financial Services 93 TRV 4 2.18 big-cap Short NaN -26.0 9.602866e+07 -5.0 Financial Services 192 ACGL 3 1.29 big-cap Short NaN -43.0 8.164785e+07 -5.0 Financial Services 14 BBL 2 0.29 big-cap Short NaN -25.0 6.876021e+07 -5.0 Basic Materials Mean Return: 0.73 Mean Day/Week: 2.875 Accuracy:0.375 *******************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 3 V 2 -0.53 big-cap Long NaN 2.0 1.210353e+09 66.0 Financial Services 170 ULTA 2 1.64 big-cap Long NaN 2.0 2.399338e+08 20.0 Consumer Cyclical 180 LYV 1 0.00 big-cap Long NaN 1.0 1.912808e+08 26.0 Communication Services 133 KKR 1 0.00 big-cap Long NaN 1.0 1.363954e+08 78.0 Financial Services 159 HZNP 3 0.59 big-cap Long NaN 3.0 1.067200e+08 28.0 Healthcare 184 CDAY 1 0.00 big-cap Long NaN 5.0 1.047559e+08 5.0 Technology 120 CPRT 3 -0.03 big-cap Long NaN 3.0 9.114639e+07 54.0 Industrials 138 WST 4 1.82 big-cap Long NaN 4.0 9.085046e+07 55.0 Healthcare 211 CG 1 0.00 big-cap Long NaN 1.0 4.581207e+07 78.0 Financial Services 176 TW 2 -1.28 big-cap Long NaN 2.0 3.469717e+07 78.0 Financial Services 132 RCI 1 0.00 big-cap Long NaN 1.0 2.068607e+07 56.0 Communication Services Mean Return: 0.36833333333333335 Mean Day/Week: 3.5 Accuracy:0.5 *******************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 6 INTC 1 0.00 big-cap Short NaN -1.0 1.071367e+09 -43.0 Technology 31 BDX 3 -0.25 big-cap Short NaN -5.0 3.354134e+08 -21.0 Healthcare 65 KLAC 4 2.09 big-cap Short NaN -4.0 1.952512e+08 -7.0 Technology 82 MAR 2 -0.21 big-cap Short NaN -5.0 1.817817e+08 -32.0 Consumer Cyclical 81 MCHP 2 0.40 big-cap Short NaN -4.0 1.384719e+08 -6.0 Technology 168 CAH 2 -0.72 big-cap Short NaN -4.0 1.317104e+08 -22.0 Healthcare 103 ES 4 -1.46 big-cap Short NaN -4.0 1.023128e+08 -21.0 Utilities 201 MPW 4 2.22 big-cap Short NaN -4.0 9.251239e+07 -37.0 Real Estate 35 CNI 5 -0.61 big-cap Short NaN -5.0 8.636753e+07 -31.0 Industrials 139 EIX 3 -1.95 big-cap Short NaN -3.0 7.996473e+07 -21.0 Utilities 197 CREE 3 2.46 big-cap Short NaN -3.0 6.804526e+07 -39.0 Technology 209 CHRW 2 -1.06 big-cap Short NaN -5.0 5.448552e+07 -6.0 Industrials 228 AQN 3 0.07 big-cap Short NaN -3.0 4.090576e+07 -7.0 Utilities 186 LBTYB 1 0.00 big-cap Short NaN -1.0 1.818280e+04 -29.0 Communication Services Mean Return: 0.08166666666666668 Mean Day/Week: 3.25 Accuracy:0.5833333333333334 *******************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 4 NVDA 21 20.18 big-cap Long NaN 21.0 6.233872e+09 55.0 Technology 0 MSFT 9 2.85 big-cap Long NaN 10.0 4.910308e+09 78.0 Technology 2 GOOG 13 2.55 big-cap Long NaN 13.0 2.383018e+09 78.0 Communication Services 15 SHOP 7 13.00 big-cap Long NaN 24.0 2.018037e+09 25.0 Technology 9 CRM 18 1.69 big-cap Long NaN 21.0 1.076258e+09 24.0 Technology 62 CRWD 6 8.11 big-cap Long NaN 22.0 8.832135e+08 24.0 Technology 8 ADBE 10 7.10 big-cap Long NaN 14.0 8.819604e+08 58.0 Technology 200 SPCE 6 14.99 big-cap Long NaN 23.0 8.406740e+08 16.0 Industrials 37 EQIX 29 12.25 big-cap Long NaN 66.0 7.222839e+08 49.0 Real Estate 11 MRK 9 -0.03 big-cap Long NaN 9.0 7.127397e+08 10.0 Healthcare 70 BIIB 13 -5.95 big-cap Long NaN 13.0 6.599641e+08 37.0 Healthcare 66 DOCU 6 8.47 big-cap Long NaN 18.0 6.368094e+08 14.0 Technology 20 INTU 26 13.89 big-cap Long NaN 26.0 5.734508e+08 31.0 Technology 30 SPGI 8 1.20 big-cap Long NaN 8.0 4.828506e+08 78.0 Financial Services 61 BX 22 8.87 big-cap Long NaN 22.0 4.174019e+08 78.0 Financial Services 25 ISRG 8 3.70 big-cap Long NaN 8.0 3.822810e+08 53.0 Healthcare 38 PBR 28 21.60 big-cap Long NaN 66.0 3.819106e+08 32.0 Energy 165 GNRC 7 11.55 big-cap Long NaN 17.0 3.486800e+08 20.0 Industrials 53 REGN 11 1.58 big-cap Long NaN 14.0 3.317491e+08 43.0 Healthcare 13 TMUS 20 3.85 big-cap Long NaN 76.0 3.304406e+08 58.0 Communication Services 124 NET 13 19.38 big-cap Long NaN 21.0 3.179879e+08 26.0 Technology 116 ZS 6 3.10 big-cap Long NaN 20.0 2.941588e+08 20.0 Technology 50 TEAM 6 7.55 big-cap Long NaN 20.0 2.784798e+08 14.0 Technology 68 LULU 8 6.35 big-cap Long NaN 20.0 2.444164e+08 48.0 Consumer Cyclical 89 INFO 8 0.65 big-cap Long NaN 8.0 2.330969e+08 78.0 Industrials 34 ZTS 10 2.21 big-cap Long NaN 10.0 2.317568e+08 52.0 Healthcare 42 ILMN 9 3.51 big-cap Long NaN 23.0 2.223221e+08 19.0 Healthcare 57 EW 22 9.48 big-cap Long NaN 22.0 2.167213e+08 53.0 Healthcare 84 A 10 2.93 big-cap Long NaN 18.0 2.069084e+08 57.0 Healthcare 86 MRVL 6 0.81 big-cap Long NaN 22.0 1.996681e+08 24.0 Technology 129 ANET 29 14.03 big-cap Long NaN 62.0 1.996360e+08 55.0 Technology 127 FTNT 14 8.05 big-cap Long NaN 14.0 1.850421e+08 78.0 Technology 76 PSA 14 5.80 big-cap Long NaN 14.0 1.839695e+08 78.0 Real Estate 177 DPZ 11 3.38 big-cap Long NaN 11.0 1.830955e+08 56.0 Consumer Cyclical 74 IDXX 21 10.48 big-cap Long NaN 21.0 1.819303e+08 29.0 Healthcare 121 WELL 15 8.59 big-cap Long NaN 16.0 1.776823e+08 78.0 Real Estate 134 NDAQ 14 4.86 big-cap Long NaN 14.0 1.672351e+08 78.0 Financial Services 10 NVS 16 3.94 big-cap Long NaN 33.0 1.591186e+08 34.0 Healthcare 110 MTD 8 0.39 big-cap Long NaN 8.0 1.581891e+08 56.0 Healthcare 94 MSCI 8 6.59 big-cap Long NaN 8.0 1.567677e+08 59.0 Financial Services 101 SBAC 18 6.30 big-cap Long NaN 18.0 1.561173e+08 66.0 Real Estate 58 MCO 8 2.87 big-cap Long NaN 8.0 1.506876e+08 77.0 Financial Services 105 RMD 11 14.14 big-cap Long NaN 22.0 1.380093e+08 37.0 Healthcare 143 EPAM 12 5.41 big-cap Long NaN 12.0 1.358962e+08 75.0 Technology 69 VEEV 11 6.89 big-cap Long NaN 20.0 1.352392e+08 20.0 Healthcare 189 CRL 10 3.42 big-cap Long NaN 10.0 1.350035e+08 78.0 Healthcare 158 PKI 10 5.70 big-cap Long NaN 10.0 1.330545e+08 35.0 Healthcare 161 WAT 11 5.67 big-cap Long NaN 11.0 1.206945e+08 63.0 Healthcare 33 INFY 12 6.05 big-cap Long NaN 23.0 1.177265e+08 20.0 Technology 125 WORK 18 0.33 big-cap Long NaN 23.0 1.169023e+08 26.0 Technology 155 AVTR 10 4.99 big-cap Long NaN 10.0 1.113242e+08 58.0 Basic Materials 172 EXR 15 7.62 big-cap Long NaN 15.0 1.079139e+08 78.0 Real Estate 174 BMRN 10 -1.25 big-cap Long NaN 24.0 1.034094e+08 24.0 Healthcare 162 NVCR 18 10.20 big-cap Long NaN 18.0 9.791841e+07 51.0 Healthcare 153 ALNY 11 10.59 big-cap Long NaN 25.0 8.545397e+07 19.0 Healthcare 171 MAA 16 2.27 big-cap Long NaN 16.0 8.336838e+07 78.0 Real Estate 225 CPT 22 8.32 big-cap Long NaN 22.0 7.603933e+07 78.0 Real Estate 107 SGEN 11 0.92 big-cap Long NaN 56.0 6.304396e+07 27.0 Healthcare 213 ELS 22 6.49 big-cap Long NaN 22.0 5.470008e+07 72.0 Real Estate 191 TECH 10 2.07 big-cap Long NaN 10.0 5.205209e+07 78.0 Healthcare 212 BAH 22 2.12 big-cap Long NaN 22.0 4.996965e+07 41.0 Industrials 122 XP 9 4.53 big-cap Long NaN 12.0 2.048092e+07 18.0 Financial Services 19 PTR 12 12.47 big-cap Long NaN 35.0 9.928617e+06 36.0 Energy 202 NTCO 29 20.38 big-cap Long NaN 54.0 5.203600e+06 35.0 Consumer Defensive 199 JHX 9 1.50 big-cap Long NaN 9.0 6.174801e+05 62.0 Basic Materials 146 FITBI 7 1.90 big-cap Long NaN 7.0 5.746664e+05 11.0 Financial Services Mean Return: 6.44590909090909 Mean Day/Week: 13.318181818181818 Accuracy:0.9545454545454546 *******************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 23 MU 6 -1.72 big-cap Short NaN -11.0 1.301417e+09 -38.0 Technology 83 LVS 15 -6.02 big-cap Short NaN -15.0 3.838669e+08 -36.0 Consumer Cyclical 91 PH 8 -0.43 big-cap Short NaN -49.0 3.783852e+08 -15.0 Industrials 27 BKNG 9 -2.52 big-cap Short NaN -36.0 3.628865e+08 -17.0 Consumer Cyclical 47 VRTX 9 -2.83 big-cap Short NaN -9.0 3.569610e+08 -9.0 Healthcare 126 DAL 8 -1.33 big-cap Short NaN -8.0 3.339687e+08 -17.0 Industrials 36 FISV 15 -5.05 big-cap Short NaN -41.0 3.332316e+08 -32.0 Technology 52 GPN 6 -0.57 big-cap Short NaN -36.0 2.501829e+08 -35.0 Industrials 141 FLT 13 -6.47 big-cap Short NaN -33.0 2.423742e+08 -31.0 Technology 187 HBAN 10 -3.06 big-cap Short NaN -14.0 2.287547e+08 -31.0 Financial Services 145 VIPS 16 -26.50 big-cap Short NaN -63.0 2.239176e+08 -59.0 Consumer Cyclical 63 TAL 34 -75.40 big-cap Short NaN -34.0 2.080432e+08 -74.0 Consumer Defensive 73 CTSH 10 -2.90 big-cap Short NaN -34.0 1.923238e+08 -34.0 Technology 118 CLX 21 -3.32 big-cap Short NaN -40.0 1.914617e+08 -31.0 Consumer Defensive 173 ON 14 -3.35 big-cap Short NaN -14.0 1.825088e+08 -17.0 Technology 106 EDU 6 -2.38 big-cap Short NaN -32.0 1.761720e+08 -71.0 Consumer Defensive 182 ABCL 13 -18.17 big-cap Short NaN -15.0 1.361007e+08 -20.0 Healthcare 206 SAM 9 -1.77 big-cap Short NaN -40.0 1.324076e+08 -26.0 Consumer Defensive 102 CTVA 10 -2.19 big-cap Short NaN -35.0 1.142993e+08 -25.0 Basic Materials 198 SMG 15 -4.83 big-cap Short NaN -49.0 1.053692e+08 -25.0 Basic Materials 178 CPB 11 -1.51 big-cap Short NaN -12.0 8.299041e+07 -13.0 Consumer Defensive 151 IR 10 -1.03 big-cap Short NaN -38.0 6.058534e+07 -15.0 Industrials 207 PLTK 10 -9.70 big-cap Short NaN -10.0 4.827125e+07 -15.0 Communication Services 111 IBKR 13 -2.62 big-cap Short NaN -68.0 3.894511e+07 -40.0 Financial Services 87 MFC 9 -4.99 big-cap Short NaN -60.0 3.540539e+07 -25.0 Financial Services 183 ATHM 25 -28.49 big-cap Short NaN -25.0 3.318930e+07 -76.0 Communication Services 56 PHG 8 -8.04 big-cap Short NaN -41.0 2.648384e+07 -19.0 Healthcare 208 KC 8 -4.08 big-cap Short NaN -8.0 2.524358e+07 -69.0 Technology 166 NMR 6 -4.16 big-cap Short NaN -6.0 2.146195e+06 -61.0 Financial Services 190 HBANO 10 0.00 big-cap Short NaN -40.0 1.020584e+06 -39.0 Financial Services 196 ZNH 13 -3.67 big-cap Short NaN -13.0 2.832535e+05 -38.0 Industrials Mean Return: -7.7129032258064525 Mean Day/Week: 11.935483870967742 Accuracy:0.967741935483871 ************************************** ************************************** ************************************** *******************Part 2.0 Small Cap Industry Overiew********************* small_industry_uptrending_count tickers industry Communication Services 2 Consumer Cyclical 1 Consumer Defensive 1 Energy 4 Financial Services 1 Healthcare 11 Industrials 2 Real Estate 7 Technology 11 Utilities 1 unknown 2 **************************************** small_industry_downtrending_count tickers industry Basic Materials 4 Communication Services 2 Consumer Cyclical 12 Consumer Defensive 4 Energy 1 Financial Services 20 Healthcare 4 Industrials 15 Real Estate 1 Technology 6 *******************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 Symbol Day Return Market Cap Long/Short score MACD Signal Count Market Value Span Signal Count industry 295 PB 5 -1.27 small-cap Short NaN -5.0 2.258004e+07 -5.0 Financial Services Mean Return: -1.27 Mean Day/Week: 5.0 Accuracy:1.0 *******************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 Symbol Day Return Market Cap Long/Short score MACD Signal Count Market Value Span Signal Count industry 272 ZION 4 5.60 small-cap Short NaN -22.0 5.825935e+07 -5.0 Financial Services 234 GL 4 3.06 small-cap Short NaN -24.0 5.113415e+07 -5.0 Financial Services 317 SNV 3 -0.29 small-cap Short NaN -30.0 3.347186e+07 -5.0 Financial Services 326 MDU 2 -0.55 small-cap Short NaN -30.0 3.329530e+07 -5.0 Basic Materials 288 ITT 2 -0.51 small-cap Short NaN -30.0 2.523591e+07 -5.0 Industrials 295 PB 5 -1.27 small-cap Short NaN -5.0 2.258004e+07 -5.0 Financial Services 316 PRI 1 0.00 small-cap Short NaN -10.0 1.873507e+07 -5.0 Financial Services 331 BOKF 4 4.07 small-cap Short NaN -11.0 6.942453e+06 -5.0 Financial Services Mean Return: 1.4442857142857142 Mean Day/Week: 3.5714285714285716 Accuracy:0.5714285714285714 *******************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 292 HQY 2 1.82 small-cap Long NaN 2.0 3.127739e+07 27.0 Healthcare Mean Return: 1.82 Mean Day/Week: 2.0 Accuracy:1.0 *******************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 271 COG 5 3.14 small-cap Short NaN -5.0 9.502338e+07 -54.0 Energy 259 OHI 4 2.13 small-cap Short NaN -4.0 7.166920e+07 -7.0 Real Estate 232 RARE 1 0.00 small-cap Short NaN -1.0 4.469844e+07 -137.0 Healthcare 251 ST 4 2.08 small-cap Short NaN -5.0 3.592761e+07 -6.0 Technology 295 PB 5 -1.27 small-cap Short NaN -5.0 2.258004e+07 -5.0 Financial Services 235 MNSO 2 -2.70 small-cap Short NaN -2.0 1.345151e+07 -21.0 Consumer Cyclical 298 LFUS 5 -2.90 small-cap Short NaN -5.0 1.248030e+07 -17.0 Technology 302 FIZZ 4 1.68 small-cap Short NaN -4.0 1.243319e+07 -15.0 Consumer Defensive 280 ANGI 4 1.69 small-cap Short NaN -4.0 7.283722e+06 -44.0 Communication Services 230 BSAC 4 1.74 small-cap Short NaN -4.0 6.811062e+06 -33.0 Financial Services 254 CIB 2 0.24 small-cap Short NaN -2.0 2.459806e+06 -137.0 Financial Services Mean Return: 0.583 Mean Day/Week: 4.0 Accuracy:0.3 *******************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 296 NTNX 19 21.11 small-cap Long NaN 54.0 2.413124e+08 24.0 Technology 244 FANG 16 6.61 small-cap Long NaN 16.0 2.120338e+08 19.0 Energy 313 ASAN 14 42.12 small-cap Long NaN 24.0 1.992318e+08 25.0 Technology 263 ARWR 11 7.74 small-cap Long NaN 48.0 9.006224e+07 24.0 Healthcare 236 DBX 11 2.40 small-cap Long NaN 22.0 7.703626e+07 28.0 Technology 293 TRGP 20 19.15 small-cap Long NaN 42.0 6.929037e+07 78.0 Energy 240 MRVI 15 6.78 small-cap Long NaN 15.0 6.028726e+07 78.0 Healthcare 301 LSI 20 9.30 small-cap Long NaN 20.0 5.707636e+07 78.0 Real Estate 248 BRKR 10 0.79 small-cap Long NaN 11.0 5.616217e+07 78.0 Healthcare 273 MANH 20 4.91 small-cap Long NaN 20.0 4.416363e+07 41.0 Technology 308 COR 13 -0.30 small-cap Long NaN 18.0 4.399935e+07 33.0 Real Estate 289 REXR 14 3.90 small-cap Long NaN 14.0 4.267487e+07 72.0 Real Estate 290 VRT 28 14.80 small-cap Long NaN 28.0 3.521929e+07 58.0 Industrials 281 CUBE 17 5.50 small-cap Long NaN 17.0 3.495505e+07 78.0 Real Estate 319 MPLN 26 17.90 small-cap Long NaN 54.0 2.603790e+07 29.0 Healthcare 264 MCFE 14 4.04 small-cap Long NaN 19.0 2.591055e+07 78.0 Technology 260 DNLI 16 11.64 small-cap Long NaN 28.0 2.505370e+07 22.0 Healthcare 267 MBT 26 1.70 small-cap Long NaN 48.0 1.783776e+07 34.0 Communication Services 243 KOF 18 4.40 small-cap Long NaN 32.0 3.997465e+06 56.0 Consumer Defensive 305 FSV 12 3.09 small-cap Long NaN 12.0 3.231818e+06 78.0 Real Estate 287 JSM 18 1.62 small-cap Long NaN 21.0 2.887668e+05 37.0 unknown 252 AGNCM 8 -0.91 small-cap Long NaN 11.0 8.823638e+04 26.0 Real Estate Mean Return: 8.558636363636364 Mean Day/Week: 16.636363636363637 Accuracy:0.9090909090909091 *******************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 247 LAD 15 -3.93 small-cap Short NaN -65.0 1.062947e+08 -35.0 Consumer Cyclical 291 THO 17 -13.24 small-cap Short NaN -32.0 9.864008e+07 -27.0 Consumer Cyclical 283 BLD 15 -3.41 small-cap Short NaN -33.0 9.655435e+07 -23.0 Industrials 330 VAC 6 -2.77 small-cap Short NaN -64.0 8.185823e+07 -26.0 Consumer Cyclical 256 AGCO 12 -7.24 small-cap Short NaN -39.0 6.679669e+07 -18.0 Industrials 241 WU 6 -4.83 small-cap Short NaN -37.0 5.783395e+07 -24.0 Financial Services 268 YY 45 -28.68 small-cap Short NaN -78.0 5.653758e+07 -63.0 Communication Services 284 CASY 9 -4.46 small-cap Short NaN -38.0 5.232365e+07 -11.0 Consumer Defensive 261 GNTX 13 -4.38 small-cap Short NaN -66.0 4.868400e+07 -32.0 Consumer Cyclical 266 RNR 25 -8.87 small-cap Short NaN -38.0 4.682540e+07 -32.0 Financial Services 336 RAMP 7 4.91 small-cap Short NaN -7.0 4.064249e+07 -137.0 Technology 324 LSTR 13 -2.21 small-cap Short NaN -30.0 3.526221e+07 -16.0 Industrials 239 UHAL 19 -2.67 small-cap Short NaN -64.0 3.362601e+07 -25.0 Industrials 242 GFL 6 -0.86 small-cap Short NaN -6.0 3.115286e+07 -25.0 Industrials 327 TX 6 0.94 small-cap Short NaN -22.0 2.407513e+07 -8.0 Basic Materials 321 BPMC 17 -6.10 small-cap Short NaN -17.0 2.308823e+07 -38.0 Healthcare 335 RBC 13 -6.64 small-cap Short NaN -61.0 2.303185e+07 -27.0 Industrials 304 COLM 8 -0.51 small-cap Short NaN -37.0 1.907882e+07 -26.0 Consumer Cyclical 333 BWXT 6 -6.22 small-cap Short NaN -42.0 1.732791e+07 -25.0 Industrials 325 VRNT 7 -2.09 small-cap Short NaN -80.0 1.680596e+07 -40.0 Technology 339 TNET 18 -4.19 small-cap Short NaN -39.0 9.472674e+06 -32.0 Industrials 307 DOOO 6 -0.46 small-cap Short NaN -36.0 6.731480e+06 -16.0 Consumer Cyclical 338 ABCM 7 1.81 small-cap Short NaN -25.0 1.710314e+06 -15.0 Healthcare Mean Return: -4.613043478260869 Mean Day/Week: 12.869565217391305 Accuracy:0.8695652173913043 ************************************** ************************************** ************************************** *******************Part 3.0 Penny Cap Industry Overiew********************* penny_industry_uptrending_count tickers industry Basic Materials 3 Communication Services 6 Consumer Cyclical 16 Consumer Defensive 3 Energy 18 Financial Services 35 Healthcare 42 Industrials 22 Real Estate 20 Technology 38 unknown 4 **************************************** penny_industry_downtrending_count tickers industry Basic Materials 16 Communication Services 1 Consumer Cyclical 38 Consumer Defensive 10 Energy 3 Financial Services 57 Healthcare 20 Industrials 49 Real Estate 9 Technology 16 Utilities 8 unknown 3 *******************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 658 SYKE 3 -0.67 penny-cap Long NaN 4.0 3.444032e+07 4.0 Technology 523 KFY 1 0.00 penny-cap Long NaN 1.0 3.177279e+07 3.0 Industrials 535 YELP 1 0.00 penny-cap Long NaN 1.0 2.951493e+07 1.0 Communication Services 584 EVA 1 0.00 penny-cap Long NaN 2.0 6.909931e+06 3.0 Basic Materials Mean Return: -0.67 Mean Day/Week: 6.0 Accuracy:0.0 *******************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 366 XRX 3 -1.34 penny-cap Short NaN -3.0 4.453225e+07 -5.0 Technology 454 SR 2 -1.19 penny-cap Short NaN -2.0 3.581583e+07 -2.0 Utilities 532 INDB 4 3.24 penny-cap Short NaN -4.0 2.794180e+07 -5.0 Financial Services 453 TRN 3 -0.92 penny-cap Short NaN -4.0 2.256520e+07 -5.0 Industrials 429 EQC 1 0.00 penny-cap Short NaN -2.0 2.181752e+07 -2.0 Real Estate 406 OGS 2 -1.54 penny-cap Short NaN -2.0 1.886825e+07 -4.0 Utilities 513 CVBF 4 2.09 penny-cap Short NaN -5.0 1.076175e+07 -5.0 Financial Services 504 CWT 3 -2.13 penny-cap Short NaN -3.0 9.509969e+06 -4.0 Utilities 649 NWBI 4 1.36 penny-cap Short NaN -4.0 8.043937e+06 -5.0 Financial Services 688 AROC 5 -0.94 penny-cap Short NaN -5.0 4.368643e+06 -5.0 Energy Mean Return: -0.15222222222222215 Mean Day/Week: 3.4444444444444446 Accuracy:0.6666666666666666 *******************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 643 TWO 3 -2.09 penny-cap Long NaN 12.0 7.614191e+07 5.0 Real Estate 386 PD 1 0.00 penny-cap Long NaN 20.0 3.553430e+07 5.0 Technology 658 SYKE 3 -0.67 penny-cap Long NaN 4.0 3.444032e+07 4.0 Technology 523 KFY 1 0.00 penny-cap Long NaN 1.0 3.177279e+07 3.0 Industrials 535 YELP 1 0.00 penny-cap Long NaN 1.0 2.951493e+07 1.0 Communication Services 582 AUPH 2 -0.43 penny-cap Long NaN 26.0 2.787895e+07 4.0 Healthcare 584 EVA 1 0.00 penny-cap Long NaN 2.0 6.909931e+06 3.0 Basic Materials Mean Return: -1.0633333333333332 Mean Day/Week: 4.0 Accuracy:0.0 *******************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 437 ADS 2 0.66 penny-cap Short NaN -25.0 6.406640e+07 -5.0 Financial Services 366 XRX 3 -1.34 penny-cap Short NaN -3.0 4.453225e+07 -5.0 Technology 454 SR 2 -1.19 penny-cap Short NaN -2.0 3.581583e+07 -2.0 Utilities 416 AVT 3 -0.21 penny-cap Short NaN -38.0 3.392960e+07 -5.0 Technology 500 ASB 2 -0.24 penny-cap Short NaN -21.0 3.256644e+07 -5.0 Financial Services 549 EQX 1 0.00 penny-cap Short NaN -6.0 2.947932e+07 -5.0 Basic Materials 532 INDB 4 3.24 penny-cap Short NaN -4.0 2.794180e+07 -5.0 Financial Services 453 TRN 3 -0.92 penny-cap Short NaN -4.0 2.256520e+07 -5.0 Industrials 429 EQC 1 0.00 penny-cap Short NaN -2.0 2.181752e+07 -2.0 Real Estate 384 VLY 2 0.00 penny-cap Short NaN -61.0 1.986452e+07 -5.0 Financial Services 406 OGS 2 -1.54 penny-cap Short NaN -2.0 1.886825e+07 -4.0 Utilities 380 UBSI 2 0.61 penny-cap Short NaN -21.0 1.642576e+07 -5.0 Financial Services 452 GATX 2 -1.07 penny-cap Short NaN -25.0 1.443034e+07 -5.0 Industrials 519 AUB 2 -0.70 penny-cap Short NaN -16.0 1.398308e+07 -5.0 Financial Services 482 DAN 3 1.40 penny-cap Short NaN -11.0 1.353432e+07 -5.0 Consumer Cyclical 448 FNB 4 3.90 penny-cap Short NaN -64.0 1.352305e+07 -5.0 Financial Services 506 CATY 2 0.07 penny-cap Short NaN -10.0 1.236023e+07 -5.0 Financial Services 635 SBCF 4 4.48 penny-cap Short NaN -26.0 1.178423e+07 -5.0 Financial Services 560 FULT 4 4.83 penny-cap Short NaN -63.0 1.139632e+07 -5.0 Financial Services 604 MWA 2 -0.80 penny-cap Short NaN -30.0 1.125135e+07 -5.0 Industrials 683 HOPE 4 3.62 penny-cap Short NaN -60.0 1.079683e+07 -5.0 Financial Services 513 CVBF 4 2.09 penny-cap Short NaN -5.0 1.076175e+07 -5.0 Financial Services 504 CWT 3 -2.13 penny-cap Short NaN -3.0 9.509969e+06 -4.0 Utilities 514 SCL 2 -1.55 penny-cap Short NaN -22.0 9.113179e+06 -5.0 Basic Materials 541 IBOC 3 -1.29 penny-cap Short NaN -25.0 8.273099e+06 -5.0 Financial Services 649 NWBI 4 1.36 penny-cap Short NaN -4.0 8.043937e+06 -5.0 Financial Services 547 SPXC 2 -0.59 penny-cap Short NaN -26.0 7.338365e+06 -5.0 Industrials 737 TCBK 4 3.63 penny-cap Short NaN -10.0 6.154952e+06 -5.0 Financial Services 688 AROC 5 -0.94 penny-cap Short NaN -5.0 4.368643e+06 -5.0 Energy 538 UTF 3 0.26 penny-cap Short NaN -31.0 4.060231e+06 -5.0 Financial Services 753 SXI 3 1.01 penny-cap Short NaN -23.0 3.876110e+06 -5.0 Industrials 711 EPAC 3 -0.20 penny-cap Short NaN -27.0 3.476560e+06 -5.0 Industrials Mean Return: 0.5483333333333333 Mean Day/Week: 3.0 Accuracy:0.5 *******************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 623 GSAT 2 -4.84 penny-cap Long NaN 3.0 2.005717e+08 11.0 Communication Services 581 RIG 1 0.00 penny-cap Long NaN 1.0 1.397308e+08 17.0 Energy 725 RAVN 3 0.71 penny-cap Long NaN 3.0 1.115710e+08 45.0 Industrials 596 AR 1 0.00 penny-cap Long NaN 1.0 7.005742e+07 78.0 Energy 609 MTDR 2 4.46 penny-cap Long NaN 2.0 6.621758e+07 78.0 Energy 644 BOOT 1 0.00 penny-cap Long NaN 1.0 5.027349e+07 78.0 Consumer Cyclical 658 SYKE 3 -0.67 penny-cap Long NaN 4.0 3.444032e+07 4.0 Technology 523 KFY 1 0.00 penny-cap Long NaN 1.0 3.177279e+07 3.0 Industrials 535 YELP 1 0.00 penny-cap Long NaN 1.0 2.951493e+07 1.0 Communication Services 619 VSTO 1 0.00 penny-cap Long NaN 1.0 2.746888e+07 37.0 Consumer Cyclical 645 IRWD 2 -1.43 penny-cap Long NaN 2.0 2.144559e+07 52.0 Healthcare 389 IMAB 2 -0.14 penny-cap Long NaN 2.0 1.899504e+07 44.0 Healthcare 656 CPG 3 0.89 penny-cap Long NaN 3.0 1.695306e+07 17.0 Energy 426 LEGN 1 0.00 penny-cap Long NaN 1.0 1.522093e+07 46.0 Healthcare 727 ESTA 1 0.00 penny-cap Long NaN 1.0 1.152236e+07 78.0 Healthcare 667 BSIG 2 0.21 penny-cap Long NaN 2.0 9.070394e+06 59.0 Financial Services 584 EVA 1 0.00 penny-cap Long NaN 2.0 6.909931e+06 3.0 Basic Materials 708 INVA 3 -1.27 penny-cap Long NaN 3.0 5.816697e+06 32.0 Healthcare 689 PACK 2 1.71 penny-cap Long NaN 2.0 5.562834e+06 27.0 Consumer Cyclical 407 MSP 2 -0.15 penny-cap Long NaN 2.0 5.274382e+06 28.0 Technology 620 CRVL 2 -0.06 penny-cap Long NaN 2.0 3.949685e+06 56.0 Financial Services 674 VCTR 2 -1.21 penny-cap Long NaN 2.0 2.789813e+06 77.0 Financial Services 564 NAC 3 -0.25 penny-cap Long NaN 3.0 1.208959e+06 55.0 Financial Services Mean Return: -0.14571428571428569 Mean Day/Week: 3.0 Accuracy:0.35714285714285715 *******************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 432 IRBT 2 -0.01 penny-cap Short NaN -2.0 8.277777e+07 -73.0 Technology 362 HFC 5 0.19 penny-cap Short NaN -5.0 5.986828e+07 -36.0 Energy 366 XRX 3 -1.34 penny-cap Short NaN -3.0 4.453225e+07 -5.0 Technology 454 SR 2 -1.19 penny-cap Short NaN -2.0 3.581583e+07 -2.0 Utilities 462 GBT 2 -0.94 penny-cap Short NaN -2.0 3.392394e+07 -137.0 Healthcare 479 SNBR 4 6.29 penny-cap Short NaN -4.0 3.022398e+07 -44.0 Consumer Cyclical 383 HR 3 -0.55 penny-cap Short NaN -3.0 2.934880e+07 -6.0 Real Estate 532 INDB 4 3.24 penny-cap Short NaN -4.0 2.794180e+07 -5.0 Financial Services 427 NIU 2 7.17 penny-cap Short NaN -2.0 2.491088e+07 -65.0 Consumer Cyclical 453 TRN 3 -0.92 penny-cap Short NaN -4.0 2.256520e+07 -5.0 Industrials 429 EQC 1 0.00 penny-cap Short NaN -2.0 2.181752e+07 -2.0 Real Estate 390 HAIN 1 0.00 penny-cap Short NaN -1.0 2.119886e+07 -47.0 Consumer Defensive 406 OGS 2 -1.54 penny-cap Short NaN -2.0 1.886825e+07 -4.0 Utilities 601 ENDP 2 -0.84 penny-cap Short NaN -2.0 1.878290e+07 -62.0 Healthcare 402 APAM 2 0.92 penny-cap Short NaN -4.0 1.837808e+07 -6.0 Financial Services 459 TCBI 5 -0.27 penny-cap Short NaN -5.0 1.695041e+07 -56.0 Financial Services 663 ATSG 4 1.66 penny-cap Short NaN -4.0 1.413187e+07 -45.0 Industrials 475 UNIT 1 0.00 penny-cap Short NaN -1.0 1.370772e+07 -137.0 Real Estate 626 COHU 3 1.85 penny-cap Short NaN -3.0 1.302040e+07 -39.0 Technology 713 AIR 1 0.00 penny-cap Short NaN -4.0 1.291953e+07 -6.0 Industrials 557 CTRE 3 0.04 penny-cap Short NaN -3.0 1.232055e+07 -7.0 Real Estate 513 CVBF 4 2.09 penny-cap Short NaN -5.0 1.076175e+07 -5.0 Financial Services 729 ATRI 2 3.95 penny-cap Short NaN -2.0 9.789527e+06 -44.0 Healthcare 504 CWT 3 -2.13 penny-cap Short NaN -3.0 9.509969e+06 -4.0 Utilities 680 PRIM 5 -1.90 penny-cap Short NaN -5.0 8.778655e+06 -44.0 Industrials 649 NWBI 4 1.36 penny-cap Short NaN -4.0 8.043937e+06 -5.0 Financial Services 653 HMN 4 1.43 penny-cap Short NaN -4.0 7.699358e+06 -44.0 Financial Services 709 AMTI 4 3.58 penny-cap Short NaN -4.0 7.399622e+06 -36.0 Healthcare 687 STKL 2 0.66 penny-cap Short NaN -2.0 6.953657e+06 -47.0 Consumer Defensive 719 ACLS 4 0.35 penny-cap Short NaN -4.0 6.848755e+06 -32.0 Technology 762 WPRT 4 5.68 penny-cap Short NaN -4.0 5.963769e+06 -65.0 Consumer Cyclical 468 VNE 4 2.62 penny-cap Short NaN -4.0 4.961092e+06 -8.0 Consumer Cyclical 696 NXGN 2 -0.78 penny-cap Short NaN -2.0 4.903239e+06 -137.0 Healthcare 688 AROC 5 -0.94 penny-cap Short NaN -5.0 4.368643e+06 -5.0 Energy 677 CGEM 4 -0.11 penny-cap Short NaN -4.0 2.576857e+06 -115.0 Healthcare 411 MOR 5 -5.27 penny-cap Short NaN -5.0 2.217207e+06 -137.0 Healthcare 676 MNTK 3 -2.29 penny-cap Short NaN -3.0 4.253085e+05 -106.0 Utilities 673 ZEAL 1 0.00 penny-cap Short NaN -1.0 3.210042e+05 -36.0 Healthcare 641 PRTC 5 -1.99 penny-cap Short NaN -5.0 1.036449e+04 -31.0 Healthcare Mean Return: 0.590294117647059 Mean Day/Week: 3.5294117647058822 Accuracy:0.5 *******************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 364 AMC 9 18.72 penny-cap Long NaN 28.0 6.702970e+09 31.0 Communication Services 671 DEN 24 24.26 penny-cap Long NaN 24.0 1.345035e+08 78.0 Energy 379 QTS 13 -0.49 penny-cap Long NaN 15.0 1.344471e+08 51.0 Real Estate 537 MIC 13 -0.83 penny-cap Long NaN 13.0 9.205573e+07 55.0 Industrials 367 EH 6 6.81 penny-cap Long NaN 24.0 9.000887e+07 12.0 Industrials 510 QFIN 14 18.17 penny-cap Long NaN 22.0 8.990460e+07 22.0 unknown 529 RVLV 6 17.78 penny-cap Long NaN 19.0 7.942420e+07 29.0 Consumer Cyclical 435 SPT 15 27.37 penny-cap Long NaN 21.0 7.570853e+07 23.0 Technology 363 JOBS 17 6.77 penny-cap Long NaN 56.0 6.099252e+07 36.0 Industrials 542 CLNY 12 15.42 penny-cap Long NaN 12.0 6.041885e+07 76.0 Real Estate 358 JCOM 10 8.29 penny-cap Long NaN 12.0 5.963919e+07 78.0 Technology 565 SIG 9 5.34 penny-cap Long NaN 9.0 5.446480e+07 12.0 Consumer Cyclical 355 RPD 6 6.72 penny-cap Long NaN 23.0 5.439271e+07 28.0 Technology 494 BOX 6 0.29 penny-cap Long NaN 27.0 5.389870e+07 32.0 Technology 525 NSA 16 9.88 penny-cap Long NaN 16.0 5.166750e+07 78.0 Real Estate 697 RDWR 14 6.24 penny-cap Long NaN 23.0 5.073269e+07 33.0 Technology 374 CRNC 12 -8.82 penny-cap Long NaN 20.0 4.748794e+07 16.0 Technology 425 APLS 20 23.86 penny-cap Long NaN 50.0 4.643328e+07 27.0 Healthcare 400 CDNA 13 7.44 penny-cap Long NaN 22.0 4.635176e+07 24.0 Healthcare 395 SWAV 25 19.55 penny-cap Long NaN 25.0 4.555403e+07 60.0 Healthcare 589 DOMO 15 22.58 penny-cap Long NaN 22.0 3.969203e+07 24.0 Technology 543 CIM 27 12.03 penny-cap Long NaN 27.0 3.598054e+07 78.0 Real Estate 608 CRC 26 13.89 penny-cap Long NaN 34.0 3.485861e+07 27.0 Energy 343 STAA 20 12.15 penny-cap Long NaN 20.0 3.480106e+07 59.0 Healthcare 771 SBLK 6 -6.72 penny-cap Long NaN 6.0 3.369493e+07 78.0 Industrials 669 CNST 10 0.39 penny-cap Long NaN 28.0 3.224228e+07 16.0 Healthcare 517 ITCI 13 6.38 penny-cap Long NaN 40.0 3.103616e+07 32.0 Healthcare 438 PZZA 8 2.99 penny-cap Long NaN 12.0 3.075071e+07 34.0 Consumer Cyclical 376 SWCH 28 14.92 penny-cap Long NaN 59.0 3.005857e+07 50.0 Technology 521 AZUL 22 24.62 penny-cap Long NaN 47.0 2.842012e+07 33.0 Industrials 450 VG 15 7.93 penny-cap Long NaN 25.0 2.782216e+07 29.0 Communication Services 369 TRUP 12 14.04 penny-cap Long NaN 49.0 2.693101e+07 20.0 Financial Services 373 NAV 17 0.29 penny-cap Long NaN 55.0 2.692645e+07 58.0 Industrials 512 KRTX 9 -7.47 penny-cap Long NaN 11.0 2.641842e+07 12.0 Healthcare 710 ERJ 21 21.72 penny-cap Long NaN 21.0 2.628735e+07 78.0 Industrials 496 SMPL 7 1.83 penny-cap Long NaN 7.0 2.552908e+07 63.0 Consumer Defensive 741 CRK 12 12.10 penny-cap Long NaN 37.0 2.365549e+07 18.0 Energy 675 LX 7 -2.98 penny-cap Long NaN 23.0 2.272847e+07 14.0 Financial Services 577 SGRY 42 27.09 penny-cap Long NaN 42.0 2.191744e+07 78.0 Healthcare 724 PTEN 16 8.09 penny-cap Long NaN 35.0 2.184114e+07 20.0 Energy 493 SHOO 12 -0.64 penny-cap Long NaN 12.0 2.081298e+07 77.0 Consumer Cyclical 399 SAFE 9 5.35 penny-cap Long NaN 23.0 2.076867e+07 13.0 Real Estate 344 WK 6 6.78 penny-cap Long NaN 22.0 1.977438e+07 14.0 Technology 419 SVMK 9 7.59 penny-cap Long NaN 56.0 1.936393e+07 23.0 Technology 489 ACCD 11 3.08 penny-cap Long NaN 22.0 1.934336e+07 26.0 Healthcare 518 AXSM 10 3.30 penny-cap Long NaN 42.0 1.902362e+07 18.0 Healthcare 467 FRHC 6 0.09 penny-cap Long NaN 18.0 1.864436e+07 17.0 Financial Services 633 DRNA 14 18.57 penny-cap Long NaN 22.0 1.834713e+07 28.0 Healthcare 486 AMRC 15 12.65 penny-cap Long NaN 54.0 1.834691e+07 20.0 Industrials 420 OPCH 11 1.43 penny-cap Long NaN 21.0 1.767701e+07 13.0 Healthcare 385 KRNT 8 -1.52 penny-cap Long NaN 22.0 1.729312e+07 20.0 Industrials 442 BLKB 6 2.25 penny-cap Long NaN 20.0 1.677396e+07 20.0 Technology 610 PRFT 52 24.58 penny-cap Long NaN 52.0 1.628253e+07 78.0 Technology 632 PMT 8 1.60 penny-cap Long NaN 13.0 1.600716e+07 14.0 Real Estate 461 NSP 9 2.48 penny-cap Long NaN 27.0 1.574405e+07 24.0 Industrials 485 MIME 31 15.49 penny-cap Long NaN 52.0 1.472085e+07 33.0 Technology 563 SITM 6 8.43 penny-cap Long NaN 22.0 1.416029e+07 13.0 Technology 634 HSKA 11 10.39 penny-cap Long NaN 11.0 1.414907e+07 28.0 Healthcare 777 CDMO 16 11.13 penny-cap Long NaN 16.0 1.372170e+07 78.0 Healthcare 424 WNS 6 2.15 penny-cap Long NaN 23.0 1.284898e+07 24.0 Industrials 591 CVA 11 -0.91 penny-cap Long NaN 11.0 1.260694e+07 38.0 Industrials 746 FINV 9 15.59 penny-cap Long NaN 24.0 1.259675e+07 26.0 Financial Services 480 FSKR 12 2.00 penny-cap Long NaN 12.0 1.178254e+07 73.0 Financial Services 515 EXLS 35 9.40 penny-cap Long NaN 35.0 1.153989e+07 78.0 Technology 682 ALEC 6 -6.95 penny-cap Long NaN 19.0 1.113922e+07 9.0 Healthcare 548 HCSG 11 3.50 penny-cap Long NaN 11.0 1.113390e+07 33.0 Healthcare 341 DAVA 26 25.45 penny-cap Long NaN 42.0 1.101879e+07 45.0 Technology 628 RVNC 11 5.28 penny-cap Long NaN 11.0 1.098624e+07 45.0 Healthcare 503 CSOD 6 1.20 penny-cap Long NaN 25.0 1.037237e+07 16.0 Technology 691 FFG 17 0.38 penny-cap Long NaN 17.0 1.006323e+07 17.0 Financial Services 571 VRRM 7 3.57 penny-cap Long NaN 7.0 9.560546e+06 15.0 Industrials 657 SUPN 8 0.02 penny-cap Long NaN 8.0 9.542823e+06 51.0 Healthcare 579 PBH 32 11.06 penny-cap Long NaN 32.0 9.497901e+06 37.0 Healthcare 398 INOV 11 2.13 penny-cap Long NaN 11.0 9.445479e+06 78.0 Healthcare 648 EBIX 9 -3.62 penny-cap Long NaN 17.0 9.306776e+06 12.0 Technology 449 CNS 32 14.81 penny-cap Long NaN 76.0 8.657856e+06 43.0 Financial Services 720 VLRS 6 -0.58 penny-cap Long NaN 6.0 8.574558e+06 78.0 Industrials 550 MODV 11 6.25 penny-cap Long NaN 39.0 8.363423e+06 12.0 Healthcare 700 IRT 17 5.12 penny-cap Long NaN 17.0 8.307810e+06 78.0 Real Estate 765 MDP 15 7.31 penny-cap Long NaN 15.0 8.190990e+06 78.0 Communication Services 747 CRTX 15 24.00 penny-cap Long NaN 26.0 7.978210e+06 22.0 Healthcare 597 FTAI 10 9.67 penny-cap Long NaN 20.0 6.370817e+06 13.0 Industrials 764 CMRE 16 7.81 penny-cap Long NaN 16.0 6.114731e+06 78.0 Industrials 650 ZYME 11 -1.94 penny-cap Long NaN 50.0 6.013144e+06 17.0 Healthcare 567 AFYA 18 16.89 penny-cap Long NaN 18.0 5.830136e+06 33.0 Consumer Defensive 678 EVV 14 2.15 penny-cap Long NaN 26.0 5.724579e+06 28.0 Financial Services 457 SUN 15 3.81 penny-cap Long NaN 15.0 5.187636e+06 64.0 Energy 483 BSTZ 6 2.29 penny-cap Long NaN 18.0 4.516220e+06 23.0 unknown 451 NAD 24 2.69 penny-cap Long NaN 24.0 4.004158e+06 55.0 Financial Services 775 NXRT 19 7.75 penny-cap Long NaN 19.0 3.919986e+06 76.0 Real Estate 730 SCWX 15 28.59 penny-cap Long NaN 27.0 3.292736e+06 17.0 Technology 773 NESR 15 8.02 penny-cap Long NaN 15.0 2.905905e+06 35.0 Energy 759 AUDC 15 5.77 penny-cap Long NaN 54.0 2.785669e+06 35.0 Technology 664 BBN 12 1.59 penny-cap Long NaN 61.0 2.417678e+06 26.0 Financial Services 698 USAC 8 2.91 penny-cap Long NaN 8.0 2.076256e+06 29.0 Energy 774 AWF 15 2.38 penny-cap Long NaN 21.0 1.620027e+06 28.0 Financial Services 722 NRK 16 1.27 penny-cap Long NaN 16.0 7.807452e+05 52.0 Financial Services 707 NYMTP 8 0.01 penny-cap Long NaN 11.0 5.689431e+05 13.0 Real Estate 712 NYMTN 11 2.80 penny-cap Long NaN 16.0 5.618009e+05 27.0 Real Estate 397 ESGRP 8 1.26 penny-cap Long NaN 14.0 1.973386e+05 59.0 Financial Services 721 LINX 18 4.61 penny-cap Long NaN 48.0 1.704790e+05 44.0 Technology 714 NYMTO 8 0.55 penny-cap Long NaN 8.0 1.261957e+05 78.0 Real Estate 490 TDI 27 5.56 penny-cap Long NaN 92.0 8.954946e+04 57.0 unknown 511 FISK 16 4.47 penny-cap Long NaN 16.0 0.000000e+00 21.0 Real Estate Mean Return: 7.4975000000000005 Mean Day/Week: 14.240384615384615 Accuracy:0.875 *******************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 556 WGO 12 -4.32 penny-cap Short NaN -31.0 1.678934e+08 -30.0 Consumer Cyclical 522 SAVE 14 -6.79 penny-cap Short NaN -14.0 1.043493e+08 -32.0 Industrials 365 JBLU 7 -4.13 penny-cap Short NaN -52.0 1.027598e+08 -16.0 Industrials 370 TRIP 8 1.98 penny-cap Short NaN -63.0 6.176593e+07 -40.0 Consumer Cyclical 566 SI 8 1.12 penny-cap Short NaN -8.0 6.127003e+07 -47.0 Financial Services 443 CBRL 11 -5.39 penny-cap Short NaN -49.0 5.788669e+07 -32.0 Consumer Cyclical 421 CNNE 31 -5.50 penny-cap Short NaN -38.0 5.753544e+07 -36.0 Consumer Cyclical 458 SONO 11 -2.06 penny-cap Short NaN -47.0 5.679599e+07 -33.0 Technology 472 SIX 10 3.43 penny-cap Short NaN -10.0 5.371018e+07 -36.0 Consumer Cyclical 433 TMHC 10 -5.66 penny-cap Short NaN -38.0 4.691519e+07 -16.0 Consumer Cyclical 530 FLR 6 -2.01 penny-cap Short NaN -29.0 4.506737e+07 -29.0 Industrials 345 NYCB 10 -5.32 penny-cap Short NaN -10.0 4.154786e+07 -36.0 Financial Services 499 EAT 8 -4.77 penny-cap Short NaN -65.0 4.063330e+07 -38.0 Consumer Cyclical 652 PLAY 9 -4.90 penny-cap Short NaN -58.0 3.897625e+07 -32.0 Consumer Cyclical 347 SAGE 7 -3.86 penny-cap Short NaN -7.0 3.829234e+07 -8.0 Healthcare 422 MUSA 6 -2.09 penny-cap Short NaN -47.0 3.817837e+07 -24.0 Consumer Cyclical 469 ALGT 16 -10.92 penny-cap Short NaN -65.0 3.670190e+07 -37.0 Industrials 456 HI 11 -5.29 penny-cap Short NaN -64.0 3.631333e+07 -35.0 Industrials 670 TUP 6 1.85 penny-cap Short NaN -11.0 3.587092e+07 -11.0 Consumer Cyclical 617 ADUS 11 -7.77 penny-cap Short NaN -11.0 3.231479e+07 -39.0 Healthcare 348 SAIA 11 3.17 penny-cap Short NaN -40.0 3.106553e+07 -16.0 Industrials 445 KMT 15 -7.98 penny-cap Short NaN -46.0 2.864498e+07 -25.0 Industrials 428 MDC 8 -0.95 penny-cap Short NaN -46.0 2.535648e+07 -17.0 Consumer Cyclical 466 ENR 13 -3.84 penny-cap Short NaN -35.0 2.187386e+07 -18.0 Industrials 481 BXS 9 -5.14 penny-cap Short NaN -9.0 2.159405e+07 -46.0 Financial Services 616 KN 13 -5.62 penny-cap Short NaN -13.0 2.135220e+07 -36.0 Technology 478 ABG 10 -7.49 penny-cap Short NaN -40.0 2.094577e+07 -16.0 Consumer Cyclical 352 FTDR 14 -4.75 penny-cap Short NaN -14.0 2.092337e+07 -44.0 Consumer Cyclical 637 LZB 6 1.53 penny-cap Short NaN -30.0 1.885315e+07 -26.0 Consumer Cyclical 491 UTZ 8 -0.20 penny-cap Short NaN -30.0 1.851537e+07 -29.0 Consumer Defensive 539 RCUS 27 -17.31 penny-cap Short NaN -34.0 1.770533e+07 -64.0 Healthcare 551 THS 19 -7.08 penny-cap Short NaN -21.0 1.740220e+07 -36.0 Consumer Defensive 431 SWX 6 -4.48 penny-cap Short NaN -40.0 1.669455e+07 -20.0 Utilities 377 RXT 7 -4.17 penny-cap Short NaN -43.0 1.634314e+07 -31.0 Technology 396 LOPE 7 -1.69 penny-cap Short NaN -59.0 1.496027e+07 -34.0 Consumer Defensive 690 ASTE 11 -9.26 penny-cap Short NaN -39.0 1.434375e+07 -27.0 Industrials 349 PPC 6 1.59 penny-cap Short NaN -22.0 1.305187e+07 -20.0 Consumer Defensive 640 EB 7 -5.86 penny-cap Short NaN -7.0 1.290210e+07 -31.0 Technology 447 VSH 13 -8.92 penny-cap Short NaN -38.0 1.277820e+07 -32.0 Technology 359 AL 10 -4.73 penny-cap Short NaN -10.0 1.247593e+07 -33.0 Industrials 350 KMPR 20 -3.61 penny-cap Short NaN -38.0 1.232537e+07 -32.0 Financial Services 487 WOR 7 -6.08 penny-cap Short NaN -30.0 1.178600e+07 -26.0 Industrials 748 ACRS 12 -7.45 penny-cap Short NaN -51.0 1.133501e+07 -33.0 Healthcare 471 ROCK 16 -3.76 penny-cap Short NaN -35.0 1.059334e+07 -35.0 Industrials 368 NEU 12 -5.58 penny-cap Short NaN -12.0 1.049750e+07 -137.0 Basic Materials 540 GCMG 13 -7.00 penny-cap Short NaN -29.0 1.046385e+07 -31.0 Financial Services 526 ABM 8 -5.61 penny-cap Short NaN -46.0 1.022477e+07 -18.0 Industrials 527 ESE 30 -8.88 penny-cap Short NaN -38.0 9.465716e+06 -32.0 Technology 672 BCAB 6 0.51 penny-cap Short NaN -6.0 9.133685e+06 -54.0 Healthcare 460 PCI 7 -1.03 penny-cap Short NaN -31.0 9.083099e+06 -25.0 Financial Services 588 SKYW 14 -4.28 penny-cap Short NaN -14.0 8.884326e+06 -38.0 Industrials 353 ESGR 6 -0.66 penny-cap Short NaN -60.0 8.467206e+06 -17.0 Financial Services 760 BJRI 10 -6.09 penny-cap Short NaN -66.0 8.062628e+06 -26.0 Consumer Cyclical 403 AAON 15 -4.94 penny-cap Short NaN -15.0 7.616431e+06 -65.0 Industrials 770 DENN 8 -2.58 penny-cap Short NaN -34.0 7.605030e+06 -34.0 Consumer Cyclical 630 CFFN 21 -1.31 penny-cap Short NaN -21.0 7.304868e+06 -56.0 Financial Services 666 WABC 10 -3.42 penny-cap Short NaN -65.0 7.152536e+06 -22.0 Financial Services 659 LTC 15 -2.14 penny-cap Short NaN -64.0 7.141430e+06 -39.0 Real Estate 622 SAH 8 -2.88 penny-cap Short NaN -32.0 7.047400e+06 -25.0 Consumer Cyclical 603 MTOR 6 -7.69 penny-cap Short NaN -6.0 7.025620e+06 -59.0 Consumer Cyclical 742 CHCO 10 -1.58 penny-cap Short NaN -61.0 6.958912e+06 -41.0 Financial Services 627 FBK 12 -5.29 penny-cap Short NaN -64.0 6.866500e+06 -41.0 Financial Services 692 CVGW 11 -6.72 penny-cap Short NaN -41.0 6.298011e+06 -38.0 Consumer Defensive 651 SMCI 6 -3.94 penny-cap Short NaN -7.0 5.937970e+06 -25.0 Technology 578 FRME 10 -1.77 penny-cap Short NaN -63.0 5.791437e+06 -22.0 Financial Services 757 PFC 16 -4.35 penny-cap Short NaN -65.0 4.918943e+06 -40.0 Financial Services 704 OMER 7 3.65 penny-cap Short NaN -83.0 4.883374e+06 -61.0 Healthcare 734 PLUS 17 -5.54 penny-cap Short NaN -31.0 4.790887e+06 -25.0 Technology 594 BANF 10 -0.83 penny-cap Short NaN -26.0 4.685184e+06 -22.0 Financial Services 706 PGTI 11 -4.02 penny-cap Short NaN -31.0 4.589195e+06 -25.0 Industrials 763 KRA 10 -4.82 penny-cap Short NaN -38.0 4.587824e+06 -39.0 Basic Materials 536 FIBK 11 -6.71 penny-cap Short NaN -65.0 4.512673e+06 -32.0 Financial Services 668 HTLD 25 -6.38 penny-cap Short NaN -45.0 4.319175e+06 -31.0 Industrials 749 ECOL 18 -4.98 penny-cap Short NaN -63.0 4.096700e+06 -25.0 Industrials 738 JOUT 21 -1.48 penny-cap Short NaN -46.0 3.646022e+06 -26.0 Consumer Cyclical 615 GCP 7 0.18 penny-cap Short NaN -25.0 3.410013e+06 -22.0 Basic Materials 751 ORIC 14 -6.34 penny-cap Short NaN -14.0 3.245974e+06 -137.0 Healthcare 546 MANU 8 -0.19 penny-cap Short NaN -32.0 3.123022e+06 -37.0 Consumer Cyclical 715 SWM 18 -3.49 penny-cap Short NaN -66.0 2.983970e+06 -31.0 Basic Materials 392 ARD 10 -0.74 penny-cap Short NaN -61.0 2.569172e+06 -21.0 Consumer Cyclical 731 RMAX 11 -4.91 penny-cap Short NaN -68.0 2.438282e+06 -51.0 Real Estate 754 FOR 9 -4.61 penny-cap Short NaN -35.0 2.308343e+06 -23.0 Real Estate 684 BATRA 7 0.45 penny-cap Short NaN -7.0 1.831933e+06 -46.0 Communication Services 726 NRC 8 0.87 penny-cap Short NaN -16.0 1.305442e+06 -13.0 Healthcare 568 UZC 13 0.04 penny-cap Short NaN -36.0 6.440420e+05 -131.0 unknown 695 NEXA 6 1.72 penny-cap Short NaN -10.0 5.602632e+05 -11.0 Basic Materials 476 TCBIL 12 0.12 penny-cap Short NaN -37.0 3.602880e+05 -135.0 unknown 569 HWCPL 11 -0.32 penny-cap Short NaN -31.0 4.250000e+04 -33.0 unknown 473 TCBIP 16 -0.10 penny-cap Short NaN -32.0 0.000000e+00 -135.0 Financial Services Mean Return: -3.619550561797752 Mean Day/Week: 11.47191011235955 Accuracy:0.8314606741573034 ************************************** ************************************** ************************************** Error: []

[episodeoftv]

Round 3 of 8, Group 2 of 2

propaganda and summaries are under the cut (May include spoilers)

Bones: 2.09 Aliens in a Spaceship / 2.10 The Headless Witch in the Woods

tw Dead bodies (two kids), someone gets hit by a car, emergency first aid, blood and gore.

When Hodgins and Brennan are buried alive, it's a race against time and a kidnapper who doesn't negotiate. / The headless skeleton of a young man is found in a state forest. Brennan and Booth's investigation becomes entangled in the local legend of a woman who was decapitated as a witch in the 1780s and is said to still haunt the forest.

Bones and Hodgins have to use their knowledge to help save themselves before they run out of air, while the rest of the crew frantically try to find them in time. Angst, science, and murders. What more could you ask for?

The Sopranos: 4.13 Whitecaps

Junior's trial comes to an end, but Tony's trials are just getting underway. Also, the Sopranos almost purchase a house on the beach.

Probably the greatest acting showcase to be put on tv. Won a ton of emmys

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Vintage Two Stone Diamond Earrings circa 1910 The silver topped 14K gold leverback earrings are prong-set with four sparkling old European cut diamonds: 0.

Vintage Two Stone Diamond Earrings circa 1910 The silver topped 14K gold leverback earrings are prong-set with four sparkling old European cut diamonds: 0.

Rate this from 1 to 5: Diamond Earrings Easy Steps On How To Get The Best Jewelry 2.09 CT F SI1 Cluster Diamond Earrings in 18K White… Diamond Halo Drop Earrings in 14k White Gold (1 ct. tw Pair these lovely earrings with either a casual or elegent…10k Rose Gold Morganite and Diamond Accent Stud Earrings… Hereditary Grand Duchess Stephanie’s wearing a diamond and… Simply the perfect gift! Round…

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A+ acting, Crystal Reed. And thank you so much for not trying to be pretty when you show Allison crying about her mother's death.