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  • Content META
    Title Mersana Therapeutics, Inc. (NASDAQ:MRSN) Q3 2024 Earnings Call Transcript
    ID 4154679
    External ID 7301596752
    Author Unknown
    Published Date Nov. 14, 2024, 7:31 a.m.
    Summary Mersana Therapeutics, Inc. (NASDAQ:MRSN) Q3 2024 Earnings Call Transcript November 13, 2024 Mersana Therapeutics, Inc. misses on earnings expectations. Reported EPS is $ EPS, expectations were $-0.17
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    URL https://www.insidermonkey.com/blog/mersana-therapeutics-inc-nasdaqmrsn-q3-2024-earnings-call-transcript-1390790
    Sentiment Negative: 0.01471    Neutral: 0.91843    Positive: 0.06685

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    Content ID 2432159
    Key 0e13c204-07a4-49ff-830c-1ce2f969726e
    Content Mersana Therapeutics, Inc. (NASDAQ:MRSN) Q3 2024 Earnings Call Transcript November 13, 2024 Mersana Therapeutics, Inc. misses on earnings expectations. Reported EPS is $ EPS, expectations were $-0.17. Operator: Good morning, and welcome to Mersana Therapeutics Third Quarter 2024 Conference Call. Currently all participants are in listen-only mode. There will be a question-and-answer session at the end of this call. [Operator Instructions] Please note this event is being recorded. I would now like to turn the conference over to Jason Fredette, Senior Vice President, Investor Relations and Corporate Communications. Please proceed. Jason Fredette: Thank you operator, and good morning, everyone. Before we begin, please note that, this call will contain forward-looking statements within the meaning of Federal Securities Laws. These statements may include, but are not limited to, those related to our platforms, product candidates, business strategy, clinical trial execution and data, business development efforts and cash runway. Each of these forward-looking statements are subject to risks and uncertainties that could cause actual results to differ materially from those projected in such statements. These risks and uncertainties are discussed in our quarterly report on Form 10-Q filed with the Securities and Exchange Commission on August 13, 2024, and in subsequent SEC filings. Our filings are available at sec.gov and on our website, mersana.com. Except as required by law, we assume no obligation to update forward-looking statements publicly even if new information becomes available in the future. On today’s call, we have Mersana’s Chief Executive Officer, Dr. Marty Huber; our Chief Development Officer, Mohan Bala; and our Chief Operating Officer and Chief Financial Officer, Brian DeSchuytner. With that, let’s turn the call over to Marty to begin our discussion. Martin Huber: Thank you, Jason, and good morning everyone. I’m pleased to report that Mersana made significant progress in the third quarter, as we continued to dose escalate in our Phase I clinical trials of both XMT-1660 and XMT-2056. We also achieved multiple milestones in our research collaborations, and we maintained the strength of our balance sheet. These accomplishments position us well, as we prepare to disclose initial XMT-1660 clinical data at a company event by the end of this year. XMT-1660 is Mersana’s ADC candidate targeting B7-H4 that was developed using Dolasynthen platform with site-specific bioconjugation and a drug-to-antibody ratio of 6. We believe it has the opportunity to differentiate within the broader ADC landscape in multiple ways. The dose escalation portion of our Phase I clinical trial is ongoing and we still have not established a maximum tolerated dose. We recently escalated to 115 milligrams per meter squared or about 3.1 milligrams per kilogram every four weeks. This is up from the 80 milligrams per meter squared dose we mentioned on our last conference call, and its well-beyond the highest doses we investigated with any of our prior ADCs. We believe our ability to reach this dosing level speaks both to Dolasynthen’s differentiated tolerability profile and to the limited expression of B7-H4 in healthy tissue. In parallel with our dose escalation work, we are continuing to investigate more frequent dosing schedules for XMT-1660, and we are working to refine our biomarker strategy to prepare for expansion and later stages of development. Let me turn the call over to Mohan Bala, our Chief Development Officer to share a little more color on our enrollment in this trial and one of the indications we are focusing on. Mohan Bala: Thanks, Marty. As a reminder, the dose escalation portion of our Phase I trial of XMT-1660 is being conducted exclusively in the US, and it is enrolling patients with the cancers that most commonly express B7-H4. These include heavily pretreated patients with recurrent, triple negative, and HR-positive breast cancers, endometrial cancer, and ovarian cancer. We believe XMT-1660 has the potential to address important unmet needs for patients with each of these tumor types. That said, about three quarters of our enrolled patients have breast cancer. Today in the US, topoisomerase-1 ADCs are being used very frequently in breast cancer. In fact, approximately 90% of our enrolled patients with triple negative breast cancer and about half of our HR-positive patients have been treated with at least one prior TOPO1 ADC, whether it be Trodelvy or Enhertu. We have discussed previously the growing body of retrospective data demonstrating that patients develop resistance to TOPO1 payloads. This has become a significant concern for physicians. At ESMO in September, the first prospective data exhibiting the same phenomenon were presented by a competitor that’s developing a TOPO1 B7-H4 ADC. The Phase I data set included eight patients who had previously been treated with a TOPO1 inhibitor. And notably, none achieved an objective response to the competitor’s ADC. These presentations helped to reinforce the urgent need for ADCs with non-TOPO payloads in breast cancer and XMT-1660 fits this profile. In fact, just last week, at the 15th Annual World ADC in San Diego, we presented new preclinical data, demonstrating XMT-1660’s antitumor activity following TOPO1 treatment. So what is the standard-of-care today for patients with late-stage breast cancer who already have received a TOPO1 ADC? Well, it’s generally single-agent chemotherapy. And the prognosis for these patients is exceedingly poor as evidenced by data for the control arm in the ASCENT trial for Trodelvy in TNBC. Importantly, ASCENT may be a potential best case, as this trial enrolled patients who were naive to the treatment with TOPO1 ADCs. Now, back to Marty. Martin Huber: Thanks, Mohan. In multiple presentations over the course of the past year, we have shared data demonstrating the potential for Dolasynthen ADCs to generate antitumor activity and avoid many of the toxicities that have limited other ADC platforms. We believe our initial XMT-1660 data will shed-light on its clinical potential across tumor types, including in patients who have previously received TOPO1 ADCs. We expect to present our initial clinical safety, tolerability, efficacy, and biomarker data from dose escalation and backfill cohorts, at a company event by the end of this year. On the safety side, we would hope to show a profile that is differentiated from other ADCs. And on the efficacy side, we expect to characterize the relationships between antitumor activity and dose as well as antitumor activity and B7-H4 expression. In addition to our expected data disclosure we also remain on track to initiate the expansion portion of our Phase I clinical trial of XMT-1660 by the end of this year. In fact, we have already determined that our first area of focus for expansion will be patients with triple-negative breast cancer who have previously received at least one TOPO1 ADC. Beyond XMT-1660’s potential as a monotherapy, we would hope to demonstrate a profile that may be amenable for use in combination with other agents, including combinations that we believe our competitors would not be able to pursue. As a reminder, Dolasynthen ADCs are equipped with a proprietary auristatin payload that has been shown clinically to avoid dose-limiting severe neutropenia, peripheral neuropathy and ocular toxicity. These types of adverse events are preventing many of today’s ADCs from combining with certain standards-of-care, due to the risk of overlapping toxicities. Now, let’s turn to XMT-2056. This is our lead candidate that was developed utilizing Immunosynthen, our innate immune stimulating ADC platform that leverages our novel and proprietary STING agonist payload. XMT-2056 targets a novel HER2 epitope, which we believe offer opportunity for development both, as a monotherapy and in combination with other therapies, including those that target HER2. At SITC 2024, which took place last week, we presented new preclinical data demonstrating XMT-2056’s ability to activate STING signaling and inhibit tumor growth at very low doses. We continue to advance the dose escalation portion of our Phase I trial of this candidate. Eligible patients include dose with a range of HER2-positive tumors, including breast, gastric, colorectal and non-small cell lung cancer. And finally, business development remains a core strategic focus for Mersana, and we’re making further progress in our collaborations with both Johnson & Johnson and Merck KGaA. Our efforts in this area were most recently exemplified by the milestones we achieved under these collaborations in the third quarter. For a little more color on our financials, let’s turn things over to Brian. Brian DeSchuytner: Thank you, Marty. Let’s begin with our balance sheet. We ended the third quarter with $155.2 million in cash, cash equivalents and marketable securities. We continue to expect our capital resources will support our current operating plan commitments into 2026. Please note that, our cash runway guidance does not assume any future milestone payments that we may earn from our current collaborations or proceeds that we may realize from future collaborations. Net cash used in operating activities for the third quarter of 2024 was $8.6 million, which included the benefit of an $8 million milestone payment and a $3.5 million payment for manufacturing activities from J&J. Net cash used in Q3 was significantly lower than the $46.1 million net cash used in operating activities during the year ago quarter. The decrease primarily reflects our portfolio reprioritization efforts, including the OpEx reductions we implemented in the second half of 2023, as part of our restructuring, as well as the payments from J&J. Turning to our income statement. Collaboration revenue for the third quarter of 2024 was $12.6 million, compared to $7.7 million for the same period in 2023. The year-over-year change was primarily related to the increases in revenue recognized under our J&J and Merck KGaA collaboration agreements. Research and development expenses for the third quarter of 2024 declined significantly to $14.8 million compared to $30.5 million for the same period in 2023. For the most recent quarter, approximately $2.3 million of this spending was related to non-cash stock-based compensation. The year-over-year decline in R&D expenses was primarily related to reduced costs associated with manufacturing and clinical development activities for our discontinued ADC UpRi and reduced employee compensation expense following the restructuring we substantially completed in 2023. General and administrative expenses for the third quarter of 2024 declined to $9.9 million compared to $12.9 million during the same period in 2023. Approximately $1.7 million in non-cash stock-based compensation expenses were included in G&A for the most recent quarter. The year-over-year decline in G&A was primarily related to reduced consulting and professional services fees and reduced employee compensation expenses following our restructuring. And finally, Mersana’s net loss for the third quarter of 2024 was $11.5 million compared to a net loss of $41.7 million for the same period in 2023. That concludes our business update. Operator, would you please open the call to questions from the audience? Q&A Session Follow Mersana Therapeutics Inc. (NASDAQ:MRSN) Follow Mersana Therapeutics Inc. (NASDAQ:MRSN) or Subscribe with Google We may use your email to send marketing emails about our services. Click here to read our privacy policy. Operator: We will now begin the question-and-answer session. [Operator Instructions] The first question comes from Tara Bancroft with TD Cowen. Please go ahead. Tara Bancroft: Hi, good morning. So, thanks for disclosing the nature of the patients a little bit more. It is really helpful to see. So I guess what I’m curious about is since most patients are post-TOPO here that you’ve enrolled, how — do you have any updated thoughts on how we should benchmark this versus what we’ve seen from other B7-H4 ADCs, which are not I mean, besides Astra which, of course, was not effective there? Thanks so much. Martin Huber: Good morning Tara. We’re not providing any specific guidance on ORR. We do recognize that, there are other benchmarks out there. I mean, Pfizer has shared their data with a 20% response rate at their doses, which we are still trying to understand exactly which doses of those patients are the doses they’ll take forward. We’ve seen the HNO data which, as you recall, was the China data. So we doubt there was a heavily pre-TOPO treatment in those patients. And in the most recent AZ data, they actually — while they did show three out of 12 patients in breast cancer, none of those patients had seen a prior TOPO. So I think it is — those are the benchmarks that are out there, but we think there is non-trivial differences between the populations. So for us to try to get into predicting exactly which one is the right benchmark for us is a little difficult at this point in time. Tara Bancroft: Okay, I understand. Thank so much. Operator: The next question comes from Jonathan Chang with Leerink Partners. Please go ahead. Yen-Der Li: Hi. This is Yen-Der Li on for Jonathan Chang. Thanks for taking my questions. So my first question on XMT-1660. So how many patients at efficacy evaluable dose are you expecting to see for the initial data update? And what is the percentage of them would you consider as biomarker positive? Thank you. Martin Huber: Yes. Well, good questions there. But actually we just haven’t provided that information to-date. That will be shared along with the data later on this year. So we gave the specifics today on the types of patients we’ve enrolled some prior treatment, but we haven’t gotten into specifics on patient numbers or B7-H4 expression. As I think you know, we are enrolling all comers and looking at the B7-H4 data retrospectively. And we do tend to get that information in batches. So even when we share the data, there may be some patients where we don’t have complete B7-H4 expression data on, but we will share what we do have. Yen-Der Li: Got it. Thank you. And another follow-up question I have is that you’ve previously mentioned that, you are evaluating the dose schedule that is more frequently than every four weeks. So could you provide more insight into how the more frequent dosing cohort is performing relatively to the every four-week cohort? And are you continuing to escalating this more frequent dose as well? Thank you. Martin Huber: Thank you, Jonathan. We’re not getting into the details of the dosing schedule. What we do — what I think we have shared is there is kind of the core schedule that we are on now of every 4 weeks. So that’s the one we’re up to 115 milligrams per meter squared, that we’re dosing now. What we’re doing on — we’re looking at more frequent doses where we split this dose at different intervals in between. We’re — today, we’re not sharing any data on the relative performance of those two. We will have — but as we noted during the script, we are going to be sharing some data on is there a dose correlation with activity, et cetera, or not but that will be part of what we describe when we share the data set. Yen-Der Li: Understood. Thanks for taking my questions. Operator: The next question comes from Charles Zhu with LifeSci Capital. Please go ahead. Charles Zhu: Good morning everyone. Thanks for providing this update and congrats on the progress. My first question, looking at some of the recent Phase I clinical readouts for B7-H4 ADCs, we’ve seen median prior lines of therapy ranging from 3 for Pfizer up to 5 for Astra. Can you provide any additional color on what you’d expect your Phase I patients to see with respect to prior treatment history number lines beyond the TOPO ADC experience? And as a similar question as well, it looks like you also have a handful of breast cancer patients who are TOPO naive, almost like an inverse to what AstraZeneca read out at the recent ESMO 2024 conference. Can you make any high-level commentary regarding what you are seeing in between the TOPO experienced versus your naive patients? Thank you. Martin Huber: Well, I’ll start with the lines of therapy. We are not providing the detailed information. But as Mohan outlined, this is a heavily pretreated population, and we will describe that. I think one of the things that will be important, and we’ll give some kudos to AZ, they actually did call out specifically prior TOPO exposure in their data set. The others haven’t even shown that. So I think it is not only a number of lines, it’s what are those treatments that becomes very important. For example, if a patient was started out hormone receptor positive and got four lines of hormonal therapy, how relevant that is to them now that you’re using a cytotoxic in a late line. So I think it is important to understand kind of the nature of the treatment as well, really specifically, have these patients seen ADCs. The second part is an interesting observation. Why aren’t we seeing more TOPO naive? And I think one of the things we’ve heard from investigators, from KOLs and as we were wandering around the halls of ESMO say, how is it that AZ had nobody with TOPO prior TOPO in breast? And you guys seem to have a lot. And essentially what we heard is they’re voting with their feet. They have — they had already based on the retrospective and anecdotal data and their own patient experience, decided that they don’t want a TOPO payload after the patient has seen a TOPO. So one of the things we hear from our investigators and others is they are continuously looking for non-TOPO payloads or novel payloads that they could try in this population. So I think it is not an accident that we are ending up with this patient population. It is the investigators telling us we need something different than a TOPO payload. Charles Zhu: Got it. Great. And also as you continue to push the dose up to and potentially beyond 115 mg per meter squared, is there a scenario where you’d continue dose escalating even as you initiate dose expansions? And can you also talk about potential reasons why you may be able to push the dose so high, maybe specifically around things like payload retention while in circulation for free payload versus intact ADCs? Thank you. Martin Huber: Well, I mean, I’m going to do the second one first, and I’ll come back. I mean, our core hypothesis when we designed this molecule was to avoid neuropathy, avoid neutropenia, avoid ocular-tox. And as you’ve seen from our previous data with UpRi and 1592, we weren’t limited by those toxicities. And so in some ways the reason we’re able to continue to escalate is kind of validates our hypothesis and Tim our Chief Technical Officer, he was right that if you — the molecule is designed to avoid those DLTs, then it’s doing that. Now that doesn’t mean there’s not anything, and we — that will be part of the nature of the data is what do we have, and we’ll share that with the upcoming safety thing. With regards, could we go beyond 115, that will be driven by the data at this point in time. Does that prevent us from initiating expansion? No. We have — the way the protocol is designed is we can take — in fact, we’re probably going to take at least two doses into expansion. That’s important in the current era of Project Optimus that you kind of get substantial data. So it would be very easy for us to start with one dose and then come with a second dose later on in the same study. So the direct answer is — if the data allows us to escalate, we would escalate, but that’s a data-dependent decision. And yes, we can initiate expansion even if we do continue to escalate. Charles Zhu: Great. Thank you for taking our questions and congrats again. Operator: [Operator Instructions] The next question comes from Ashiq Mubarack with Citi. Please go ahead. Ashiq Mubarack: Hi guys. Thanks very much for taking my questions. And I appreciate all the updates here. I just wanted to ask, if you have any thoughts as to whether we should expect any differences in effect of XMT-1660 depending on which TOPO1 ADC was used in the prior-line? I know triple-negative breast is kind of a moving target in between use of Enhertu versus Trodelvy. But is it fair to assume that the majority of patients got at least Enhertu in the prior line? And then last question for me. How are you thinking about development in gynecological tumors? Is that still part of the long-term plan? Or are you the plan to leave that to competitors not focused on TOPO1 and prior lines? Thanks. Martin Huber: I’m going to give a quick answer and then I’m going to turn it over to Mohan to talk about the different types of TOPO ADCs patients are receiving and the gynecological development. But the kind of the short answer is our hypothesis this is not an antigen difference. So Enhertu versus Trodelvy, even though they are targeting different, ultimately, they inhibit topoisomerase-1. And there are two known mechanisms, there’s probably more of resistance. One of those, they switch from TOPO1 to TOPO2, but that’s for both of them. So we would not imagine a difference. The other potential mechanism of resistance is Pgp pumps would basically get efflux of the payload. As a reminder, our payload is not a substrate for Pgp. So no matter which of the mechanisms of resistance, which both those molecules are kind of most commonly expected to occur, we should be able to overcome both of those. And I’m going to turn it over to Mohan to address the rest of your question on the population and the gynae development. Mohan Bala: Yes. So, I maybe kind of start with not talking specifically about our trial, but what’s happening in the breast cancer kind of treatment landscape. right? So I think you can see this from the Gilead kind of earnings call as well. Trodelvy is probably the standard-of-care in chemo pretreated patients in triple negative. They have the bigger market share. And some of those patients are also then subsequently treated with Enhertu, right? But as Marty said, the increasing preference is for physicians to seek alternate payloads and alternate targets. In hormone positive, it is a little bit more kind of split between — and I’m talking about what the general kind of treatment pattern is. And sorry, kind of what was the –. Martin Huber: Opportunity in gynae cancer. Mohan Bala: Yes. So clearly kind of — I’ll start with endometrial, right? The endometrial kind of second/third-line space is completely open right now because the standard-of-care is shifting to treatment with both a checkpoint inhibitor and chemotherapy in frontline. And if you don’t get kind of checkpoint inhibitor frontline in, say an MSS population, they get it second-line. But I think in the future, most patients will get both in frontline. And once you get those treatments, there is really no good treatment option subsequent to that. So the opportunity in endometrial cancer is quite big. The unmet need is high, and we clearly hear this. In ovarian cancer clearly, there are a lot of treatments in development in platinum-resistant, right? But kind of where there is actually kind of an increasing unmet need is in platinum-sensitive for either therapies that can combine with platinum and then continued treatment beyond the completion of that platinum therapy, right? So even though, there is kind of a lot of treatments competing in the platinum-resistant space, there are not that many novel treatments that are being developed in the platinum-sensitive space. Ashiq Mubarack: Great. Thank you for all the color. Operator: The next question comes from Michael Schmidt with Guggenheim Securities. Please go ahead. Yige Guo: Hi good morning. This is Yige on for Michael. Thanks for taking our questions and thanks for the update. Two questions from us. The first one looks like you will first focus on triple-negative in the expansion cohort relative to HR positive. Wondering, is it based on preclinical rationale such as B7-H4 expression? Or was any clinical observations also part of the consideration? And then I have a follow-up. Martin Huber: Okay. The primary reason we are going there is to be perfectly candid, is just unmet medical need. This is where we have the most patients coming into our trial. It is an area where we believe, once again we haven’t talked to the agency or anything that the regulatory hurdle will be quite low, because essentially as Mohan alluded to, once they’ve seen a TOPO payload ADC, there is nothing. I mean, the response rate with chemotherapy is 5%, and that’s in the control arm of ASCENT, which is not post-Trodelvy, that was the same patients getting Trodelvy. If you think about post Trodelvy, it is certainly no reason to expect that response rate would be higher than 5%. So I think overall this is a place for us that we see we could go very fast. We do see hormone receptor positive, as an important population. And one thing that’s kind of interesting is, if you look at the late-line hormone receptor positive breast cancer patients, especially when they get to kind of the HER2 ultra lows, they are starting to look a lot more like TNBC. They’re essentially once they’ve seen that Enhertu, there’s nothing left for them. So we think those are both opportunities, but TNBC is the cleanest, easiest, fastest. Yige Guo: Got it. That’s very helpful. And then second question, there was a poster at last year’s ASCO discussing optimal sequencing of SN-38 and DXd-ADC in breast cancer patients. Just wondering, is there any preclinical rationale or even clinical observations suggesting optimal sequencing of Dolasynthen and TOPO1 ADCs? Martin Huber: I think there is — well, we are not really focused on the — is there an optimal. We’re kind of — what we’ve been focused on is the reality of the clinical situation is we are going to be post TOPO for the initial indications. So with the focus on data we showed this year at World ADC was showing that we have meaningful activity superior to a TOPO payload in a cell — in preclinical models that had previously been exposed to TOPO. So we’re not — I think that’s an interesting long-term question, should we be in front of the TOPO. But to be perfectly frank, right now today given that the TOPOs are so well-established in the marketplace, our point of entry is going to be post TOPO, or the really cool thing we can think about is assuming we demonstrate the safety profile that we’ve shown to-date with the Dolasynthen, do you just go with a TOPO, and not even bother about the sequencing, do them together. Two different targets with two different payloads could be a pretty cool thing that others can’t do because of either neuropathy, neutropenia, ocular tox or myelosuppression. Yige Guo: Got it. Very helpful. Thank you. Operator: [Operator Instructions] The next question comes from Justin Zelin with BTIG. Please go ahead. Justin Zelin: Thanks for taking our questions. I wanted to hear your thoughts on what a meaningful delta would be on safety events to differentiate 1660 from the class based on your mechanism of action? And how do you think the differentiated safety profile may enable potential for combination therapy in the future? Martin Huber: I’m going to start it out, and then I’m going to let Mohan kind of talk a little bit about some of the data we’ve generated already in combination with carbo with our previous molecules. One of the things that was a key focus for us is, carbo has challenges for — basically, there’s myelosuppression, but more importantly when you think about ovarian cancer patients as the best example of this, they’ve gotten taxanes, they’ve gotten platinum. They all have neuropathy. And clearly, when you were trying to go into platinum-resistant ovarian cancer, if you had a drug that caused more neuropathy that was very much a limitation. If you think about the neutropenia also associated with any type of chemotherapy. So we were very focused on the neuropathy neutropenia. And we were very pleased if you look at the 600 patients with UpRi, which is the same payload, different Scaffold, Linker or with Dolasynthen, our first molecule 1592, which was NaPi2b, we really didn’t see meaningful neuropathy or neutropenia. So we think the bar is you really — based on that experience with the payload, we think those should be quite low. The other challenge that you see with the TOPO payloads is the myelosuppression and where you see just kind of pancytopenia type effects. We really — if you go back to UpRi and Dolasynthen, that really wasn’t a challenge for us with those molecules. And we think — if you think about it, you can’t be giving cytotoxic chemotherapy if your ADC is causing severe myelosuppression. People have tried to do these [ADEPT] (ph) studies where they combine them. And you end up significantly compromising the dose of both ADCs. So for us, kind of the holy grail is can you give a full dose or near full dose of the ADC in combination with either another ADC or with another cytotoxic chemotherapy. While we haven’t done it with this molecule, I’m going to turn it over to Mohan to talk a little about — we did present some data recently at IGCS, where we did combine with carbo. Mohan? Mohan Bala: Yes. So we — with UpRi which was our previous ADC targeting NaPi2b on the Dolaflexin platform, but using the same payload, we did a study called UPGRADE, where we combined UpRi with carboplatin for six cycles and then continued treatment with UpRi. We presented data from this study at IGCS recently. And the study really established the ability to combine an ADC with this particular payload that we are using also for 1660 with carboplatin. So we did not see any exacerbation of neutropenia or neuropathy. There was no increased alopecia, right? So generally a well-tolerated profile which was able to be dosed for that full six cycle, and then actually beyond the completion of the platinum regimen, right? In addition to kind of the safety, we also saw meaningful activity with a 70% plus response rate. So that study really we see as a proof-of-concept for the potential ability to combine ADCs on this — with this particular payload with chemotherapy. Justin Zelin: That make sense. Thanks for taking my question. Operator: This concludes our question-and-answer — this concludes our question-and-answer session. I would like to turn the conference back over to CEO, Martin Huber, for any closing remarks. Martin Huber: Thank you, operator, and thanks, everyone, for dialing in. We look forward to speaking with you by the end of the year to review our initial clinical data for XMT-1660. That concludes our call operator. Operator: The conference has now concluded. Thank you for attending today’s presentation. You may now disconnect.
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DATETIME_INPUT_FORMATS ['%Y-%m-%d %H:%M:%S', '%Y-%m-%d %H:%M:%S.%f', '%Y-%m-%d %H:%M', '%m/%d/%Y %H:%M:%S', '%m/%d/%Y %H:%M:%S.%f', '%m/%d/%Y %H:%M', '%m/%d/%y %H:%M:%S', '%m/%d/%y %H:%M:%S.%f', '%m/%d/%y %H:%M']
DATE_FORMAT 'N j, Y'
DATE_INPUT_FORMATS ['%Y-%m-%d', '%m/%d/%Y', '%m/%d/%y', '%b %d %Y', '%b %d, %Y', '%d %b %Y', '%d %b, %Y', '%B %d %Y', '%B %d, %Y', '%d %B %Y', '%d %B, %Y']
DEBUG True
DEBUG_PROPAGATE_EXCEPTIONS False
DEBUG_TOOLBAR_CONFIG {'SHOW_TOOLBAR_CALLBACK': <function <lambda> at 0x7f3fcd3ef1a0>}
DECIMAL_SEPARATOR '.'
DEFAULT_AUTO_FIELD 'django.db.models.BigAutoField'
DEFAULT_CHARSET 'utf-8'
DEFAULT_EXCEPTION_REPORTER 'django.views.debug.ExceptionReporter'
DEFAULT_EXCEPTION_REPORTER_FILTER 'django.views.debug.SafeExceptionReporterFilter'
DEFAULT_FROM_EMAIL 'webmaster@localhost'
DEFAULT_INDEX_TABLESPACE ''
DEFAULT_TABLESPACE ''
DISALLOWED_USER_AGENTS []
EMAIL_BACKEND 'django.core.mail.backends.smtp.EmailBackend'
EMAIL_HOST 'localhost'
EMAIL_HOST_PASSWORD '********************'
EMAIL_HOST_USER ''
EMAIL_PORT 25
EMAIL_SSL_CERTFILE None
EMAIL_SSL_KEYFILE '********************'
EMAIL_SUBJECT_PREFIX '[Django] '
EMAIL_TIMEOUT None
EMAIL_USE_LOCALTIME False
EMAIL_USE_SSL False
EMAIL_USE_TLS False
FIELD_ENCRYPTION_KEY '********************'
FILE_UPLOAD_DIRECTORY_PERMISSIONS None
FILE_UPLOAD_HANDLERS ['django.core.files.uploadhandler.MemoryFileUploadHandler', 'django.core.files.uploadhandler.TemporaryFileUploadHandler']
FILE_UPLOAD_MAX_MEMORY_SIZE 2621440
FILE_UPLOAD_PERMISSIONS 420
FILE_UPLOAD_TEMP_DIR None
FIRST_DAY_OF_WEEK 0
FIXTURE_DIRS []
FORCE_SCRIPT_NAME None
FORMAT_MODULE_PATH None
FORMS_URLFIELD_ASSUME_HTTPS False
FORM_RENDERER 'django.forms.renderers.DjangoTemplates'
GCP_LOCATION 'us-central1'
GCP_PROJECT_ID 'advance-honor-411011'
GCP_PROJECT_NUMBER '268856636042'
GCP_SERVICE_ACCOUNT '/Users/kcallahan/.config/gcloud/vector-search-user.json'
GCP_VERTEX_BUCKET 'pennyloupe-us-central1'
GCP_VERTEX_INDEX_ID '2477861603379249152'
GRAPPELLI_ADMIN_TITLE 'Penny Loupe'
GRAPPELLI_AUTOCOMPLETE_SEARCH_FIELDS {'auth': '********************'}
IGNORABLE_404_URLS []
INSTALLED_APPS ['coverage', 'grappelli', 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.humanize', 'django.contrib.messages', 'django.contrib.postgres', 'django.contrib.sessions', 'django.contrib.staticfiles', 'django_htmx', 'app.core.apps.CoreConfig', 'django_extensions', 'debug_toolbar']
INTERNAL_IPS ['127.0.0.1']
LANGUAGES [('en', 'English')]
LANGUAGES_BIDI ['he', 'ar', 'ar-dz', 'ckb', 'fa', 'ug', 'ur']
LANGUAGE_CODE 'en-us'
LANGUAGE_COOKIE_AGE None
LANGUAGE_COOKIE_DOMAIN None
LANGUAGE_COOKIE_HTTPONLY False
LANGUAGE_COOKIE_NAME 'django_language'
LANGUAGE_COOKIE_PATH '/'
LANGUAGE_COOKIE_SAMESITE None
LANGUAGE_COOKIE_SECURE False
LOCALE_PATHS []
LOGGING {}
LOGGING_CONFIG 'logging.config.dictConfig'
LOGIN_REDIRECT_URL '/accounts/profile/'
LOGIN_URL '/accounts/login/'
LOGOUT_REDIRECT_URL None
MANAGERS []
MEDIA_ROOT PosixPath('/mnt/disks/pennyloupe_disk/pennyloupe/media')
MEDIA_URL '/media/'
MESSAGE_STORAGE 'django.contrib.messages.storage.fallback.FallbackStorage'
MIDDLEWARE ['django.middleware.security.SecurityMiddleware', 'whitenoise.middleware.WhiteNoiseMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.cache.UpdateCacheMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', 'django_htmx.middleware.HtmxMiddleware', 'debug_toolbar.middleware.DebugToolbarMiddleware']
MIGRATION_MODULES {}
MONTH_DAY_FORMAT 'F j'
NUMBER_GROUPING 0
OPENAI_API_KEY '********************'
PASSWORD_HASHERS '********************'
PASSWORD_RESET_TIMEOUT '********************'
POLYGON_API_KEY '********************'
PREPEND_WWW False
QT_API_KEY '********************'
QT_APP_ID '13d3cbab'
QT_PASSWORD '********************'
QT_USERNAME 'kevin+dev3@pennyloupe.com'
ROOT_URLCONF 'app.urls'
SALT_KEY '********************'
SCRAPER_API_KEY '********************'
SECRET_KEY '********************'
SECRET_KEY_FALLBACKS '********************'
SECURE_CONTENT_TYPE_NOSNIFF True
SECURE_CROSS_ORIGIN_OPENER_POLICY 'same-origin'
SECURE_HSTS_INCLUDE_SUBDOMAINS False
SECURE_HSTS_PRELOAD False
SECURE_HSTS_SECONDS 0
SECURE_PROXY_SSL_HEADER None
SECURE_REDIRECT_EXEMPT []
SECURE_REFERRER_POLICY 'same-origin'
SECURE_SSL_HOST None
SECURE_SSL_REDIRECT False
SERVER_EMAIL 'root@localhost'
SESSION_CACHE_ALIAS 'default'
SESSION_COOKIE_AGE 1209600
SESSION_COOKIE_DOMAIN None
SESSION_COOKIE_HTTPONLY True
SESSION_COOKIE_NAME 'sessionid'
SESSION_COOKIE_PATH '/'
SESSION_COOKIE_SAMESITE 'Lax'
SESSION_COOKIE_SECURE False
SESSION_ENGINE 'django.contrib.sessions.backends.db'
SESSION_EXPIRE_AT_BROWSER_CLOSE False
SESSION_FILE_PATH None
SESSION_SAVE_EVERY_REQUEST False
SESSION_SERIALIZER 'django.contrib.sessions.serializers.JSONSerializer'
SETTINGS_MODULE 'app.settings'
SHORT_DATETIME_FORMAT 'm/d/Y P'
SHORT_DATE_FORMAT 'm/d/Y'
SIGNING_BACKEND 'django.core.signing.TimestampSigner'
SILENCED_SYSTEM_CHECKS []
SQL_FILES_DIR '/mnt/disks/pennyloupe_disk/pennyloupe/app/core/sql'
STATICFILES_DIRS []
STATICFILES_FINDERS ['django.contrib.staticfiles.finders.FileSystemFinder', 'django.contrib.staticfiles.finders.AppDirectoriesFinder']
STATIC_ROOT PosixPath('/mnt/disks/pennyloupe_disk/pennyloupe/static')
STATIC_URL '/static/'
STORAGES {'default': {'BACKEND': 'django.core.files.storage.FileSystemStorage'}, 'staticfiles': {'BACKEND': 'django.contrib.staticfiles.storage.StaticFilesStorage'}}
TEMPLATES [{'APP_DIRS': True, 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': ['templates'], 'OPTIONS': {'context_processors': ['django.template.context_processors.debug', 'django.template.context_processors.request', 'django.contrib.auth.context_processors.auth', 'django.contrib.messages.context_processors.messages']}}]
TEST_NON_SERIALIZED_APPS []
TEST_RUNNER 'django.test.runner.DiscoverRunner'
THOUSAND_SEPARATOR ','
TIME_FORMAT 'P'
TIME_INPUT_FORMATS ['%H:%M:%S', '%H:%M:%S.%f', '%H:%M']
TIME_ZONE 'UTC'
USE_I18N True
USE_THOUSAND_SEPARATOR False
USE_TZ True
USE_X_FORWARDED_HOST False
USE_X_FORWARDED_PORT False
WSGI_APPLICATION 'app.wsgi.application'
X_FRAME_OPTIONS 'DENY'
YEAR_MONTH_FORMAT 'F Y'

Headers

Request headers

Key Value
Accept */*
Accept-Encoding gzip, br, zstd, deflate
Cookie => see Request panel
Host pennyloupe.com
User-Agent Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)

Response headers

Key Value
Content-Type text/html; charset=utf-8

WSGI environ

Since the WSGI environ inherits the environment of the server, only a significant subset is shown below.

Key Value
CONTENT_LENGTH
CONTENT_TYPE
PATH_INFO /ticker/MRSN/content/4154679
QUERY_STRING
REMOTE_ADDR 216.73.216.158
REQUEST_METHOD GET
SCRIPT_NAME
SERVER_NAME pennyloupe.com
SERVER_PORT 443
SERVER_PROTOCOL HTTP/1.1

Request

View information

View function Arguments Keyword arguments URL name
app.core.views.app.ticker_content_detail () {'content_id': 4154679, 'ticker': 'MRSN'} ticker_content_detail

Cookies

Variable Value
'csrftoken' 'wMe25F37P2bhZTRtvWtXtmTIzSmWz125'

No session data

No GET data

No POST data

SQL queries from 1 connection

  • default 13.52 ms (5 queries )
Query Timeline Time (ms) Action
SELECT "pl_content"."created_dt",
       "pl_content"."updated_dt",
       "pl_content"."status_id",
       "pl_content"."id",
       "pl_content"."key",
       "pl_content"."fetch_ref_id",
       "pl_content"."ticker",
       "pl_content"."publish_dt",
       "pl_content"."external_id",
       "pl_content"."published_by",
       "pl_content"."title",
       "pl_content"."summary",
       "pl_content"."tags",
       "pl_content"."url",
       "pl_content"."author",
       "pl_content"."author_reputation_score",
       "pl_content"."content_length",
       "pl_content"."parent_key",
       "pl_content"."sentiment_positive",
       "pl_content"."sentiment_negative",
       "pl_content"."sentiment_neutral",
       "pl_content"."sentiment",
       "pl_content"."sentiment_status",
       "pl_content"."relevance_score",
       "pl_content"."votes_positive",
       "pl_content"."votes_negative",
       "pl_content"."is_processing_flag",
       "pl_content"."vector_embedding_dt",
       "pl_content"."vector_id",
       "pl_content"."vector_status",
       "pl_content"."data_source_id",
       "pl_content"."parent_content_id",
       "pl_content"."publisher_id"
  FROM "pl_content"
 WHERE "pl_content"."id" = 4154679
 LIMIT 21
SELECT ••• FROM "pl_content" WHERE "pl_content"."id" = 4154679 LIMIT 21
3.28

Connection: default

Transaction status: Idle

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/whitenoise/middleware.py in __call__(124)
  return self.get_response(request)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_htmx/middleware.py in __call__(43)
  return self.get_response(request)

/mnt/disks/pennyloupe_disk/pennyloupe/app/core/views/app.py in ticker_content_detail(2297)
  content = Content.objects.get(id=content_id)

SELECT "pl_content_content"."created_dt",
       "pl_content_content"."updated_dt",
       "pl_content_content"."status_id",
       "pl_content_content"."id",
       "pl_content_content"."key",
       "pl_content_content"."content",
       "pl_content_content"."content_ref_url",
       "pl_content_content"."content_id"
  FROM "pl_content_content"
 WHERE "pl_content_content"."content_id" = 4154679
 ORDER BY "pl_content_content"."id" ASC
 LIMIT 1
SELECT ••• FROM "pl_content_content" WHERE "pl_content_content"."content_id" = 4154679 ORDER BY "pl_content_content"."id" ASC LIMIT 1
6.32

Connection: default

Transaction status: Idle

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/whitenoise/middleware.py in __call__(124)
  return self.get_response(request)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_htmx/middleware.py in __call__(43)
  return self.get_response(request)

/mnt/disks/pennyloupe_disk/pennyloupe/app/core/views/app.py in ticker_content_detail(2303)
  content_content = ContentContent.objects.filter(details=content).first()

SELECT "pl_content_publisher"."created_dt",
       "pl_content_publisher"."updated_dt",
       "pl_content_publisher"."status_id",
       "pl_content_publisher"."id",
       "pl_content_publisher"."name",
       "pl_content_publisher"."url",
       "pl_content_publisher"."domain",
       "pl_content_publisher"."description",
       "pl_content_publisher"."weight",
       "pl_content_publisher"."trust_flow_score",
       "pl_content_publisher"."citation_flow_score"
  FROM "pl_content_publisher"
 WHERE "pl_content_publisher"."id" = 5531
 LIMIT 21
SELECT ••• FROM "pl_content_publisher" WHERE "pl_content_publisher"."id" = 5531 LIMIT 21
1.40

Connection: default

Transaction status: Idle

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/whitenoise/middleware.py in __call__(124)
  return self.get_response(request)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_htmx/middleware.py in __call__(43)
  return self.get_response(request)

/mnt/disks/pennyloupe_disk/pennyloupe/app/core/views/app.py in ticker_content_detail(2306)
  publisher = content.publisher

SELECT "pl_data_source"."created_dt",
       "pl_data_source"."updated_dt",
       "pl_data_source"."status_id",
       "pl_data_source"."id",
       "pl_data_source"."name",
       "pl_data_source"."type",
       "pl_data_source"."url",
       "pl_data_source"."description",
       "pl_data_source"."weight",
       "pl_data_source"."class_name",
       "pl_data_source"."class_params_json"
  FROM "pl_data_source"
 WHERE "pl_data_source"."id" = 5
 LIMIT 21
SELECT ••• FROM "pl_data_source" WHERE "pl_data_source"."id" = 5 LIMIT 21
1.28

Connection: default

Transaction status: Idle

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/whitenoise/middleware.py in __call__(124)
  return self.get_response(request)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_htmx/middleware.py in __call__(43)
  return self.get_response(request)

/mnt/disks/pennyloupe_disk/pennyloupe/app/core/views/app.py in ticker_content_detail(2307)
  data_source = content.data_source

SELECT COUNT(*) AS "__count"
  FROM "pl_content"
 WHERE "pl_content"."parent_content_id" = 4154679
SELECT COUNT(*) AS "__count" FROM "pl_content" WHERE "pl_content"."parent_content_id" = 4154679
1.24

Connection: default

Transaction status: Idle

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/whitenoise/middleware.py in __call__(124)
  return self.get_response(request)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_htmx/middleware.py in __call__(43)
  return self.get_response(request)

/mnt/disks/pennyloupe_disk/pennyloupe/app/core/views/app.py in ticker_content_detail(2319)
  return render(request, "ticker_content_detail.html", context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/shortcuts.py in render(25)
  content = loader.render_to_string(template_name, context, request, using=using)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/loader.py in render_to_string(62)
  return template.render(context, request)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/backends/django.py in render(107)
  return self.template.render(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in render(171)
  return self._render(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/test/utils.py in instrumented_test_render(114)
  return self.nodelist.render(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in render(1016)
  return SafeString("".join([node.render_annotated(context) for node in self]))

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in <listcomp>(1016)
  return SafeString("".join([node.render_annotated(context) for node in self]))

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in render_annotated(977)
  return self.render(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/loader_tags.py in render(159)
  return compiled_parent._render(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/test/utils.py in instrumented_test_render(114)
  return self.nodelist.render(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in render(1016)
  return SafeString("".join([node.render_annotated(context) for node in self]))

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in <listcomp>(1016)
  return SafeString("".join([node.render_annotated(context) for node in self]))

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in render_annotated(977)
  return self.render(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/loader_tags.py in render(65)
  result = block.nodelist.render(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in render(1016)
  return SafeString("".join([node.render_annotated(context) for node in self]))

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in <listcomp>(1016)
  return SafeString("".join([node.render_annotated(context) for node in self]))

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in render_annotated(977)
  return self.render(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/defaulttags.py in render(320)
  match = condition.eval(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/smartif.py in eval(61)
  return func(context, self.first, self.second)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/smartif.py in <lambda>(107)
  ">": infix(10, lambda context, x, y: x.eval(context) > y.eval(context)),

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/defaulttags.py in eval(886)
  return self.value.resolve(context, ignore_failures=True)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in resolve(722)
  obj = self.var.resolve(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in resolve(854)
  value = self._resolve_lookup(context)

/mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/template/base.py in _resolve_lookup(925)
  current = current()

27 <td><a href="{% url 'ticker_content_detail' ticker=ticker content_id=content_detail.content.parent.id %}">{{ content_detail.content.parent.title }}</a></td>
28 </tr>
29 {% endif %}
30 {% if content_detail.content.children.count > 0 %}
31 <tr>
32 <th>Children</th>
33 <td>
34 <ul>

/mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/ticker_content_detail.html

Static files (720 found, 2 used)

Static file paths

None

Static file apps

  1. grappelli
  2. django.contrib.admin
  3. django_htmx
  4. app.core
  5. django_extensions
  6. debug_toolbar

Static files

css/pennyloupe.css
/mnt/disks/pennyloupe_disk/pennyloupe/app/core/static/css/pennyloupe.css
img/penny_loupe_logo.png
/mnt/disks/pennyloupe_disk/pennyloupe/app/core/static/img/penny_loupe_logo.png

django.contrib.staticfiles.finders.AppDirectoriesFinder (720 files)

Path Location
.DS_Store /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/.DS_Store
grappelli/.DS_Store /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/.DS_Store
grappelli/js/grappelli.js /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/grappelli.js
grappelli/js/jquery.grp_related_m2m.js /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_related_m2m.js
grappelli/js/jquery.grp_autocomplete_fk.js /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_autocomplete_fk.js
grappelli/js/jquery.grp_autocomplete_generic.js /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_autocomplete_generic.js
grappelli/js/jquery.grp_timepicker.js /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_timepicker.js
grappelli/js/jquery.grp_collapsible_group.js /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_collapsible_group.js
grappelli/js/jquery.grp_related_generic.js /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_related_generic.js
grappelli/js/jquery.grp_related_fk.js /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_related_fk.js
grappelli/js/jquery.grp_collapsible.js /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_collapsible.js
grappelli/js/grappelli.min.js /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/grappelli.min.js
grappelli/js/jquery.grp_autocomplete_m2m.js /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_autocomplete_m2m.js
grappelli/js/jquery.grp_inline.js /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/grappelli/static/grappelli/js/jquery.grp_inline.js
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admin/img/tooltag-arrowright.svg /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/img/tooltag-arrowright.svg
admin/img/icon-deletelink.svg /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/img/icon-deletelink.svg
admin/img/icon-viewlink.svg /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/img/icon-viewlink.svg
admin/img/icon-alert.svg /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/img/icon-alert.svg
admin/img/inline-delete.svg /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/img/inline-delete.svg
admin/img/icon-addlink.svg /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/img/icon-addlink.svg
admin/img/selector-icons.svg /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/img/selector-icons.svg
admin/img/tooltag-add.svg /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/img/tooltag-add.svg
admin/img/icon-calendar.svg /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/img/icon-calendar.svg
admin/img/icon-unknown-alt.svg /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/img/icon-unknown-alt.svg
admin/img/icon-clock.svg /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/img/icon-clock.svg
admin/img/icon-no.svg /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/img/icon-no.svg
admin/img/LICENSE /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/img/LICENSE
admin/img/icon-hidelink.svg /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/img/icon-hidelink.svg
admin/img/README.txt /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/img/README.txt
admin/img/sorting-icons.svg /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/img/sorting-icons.svg
admin/img/icon-changelink.svg /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/img/icon-changelink.svg
admin/img/calendar-icons.svg /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/img/calendar-icons.svg
admin/img/icon-yes.svg /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/img/icon-yes.svg
admin/img/gis/move_vertex_off.svg /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/img/gis/move_vertex_off.svg
admin/img/gis/move_vertex_on.svg /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/img/gis/move_vertex_on.svg
admin/css/unusable_password_field.css /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/css/unusable_password_field.css
admin/css/base.css /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/css/base.css
admin/css/dark_mode.css /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/css/dark_mode.css
admin/css/login.css /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/css/login.css
admin/css/responsive_rtl.css /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/css/responsive_rtl.css
admin/css/responsive.css /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/css/responsive.css
admin/css/rtl.css /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/css/rtl.css
admin/css/widgets.css /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/css/widgets.css
admin/css/autocomplete.css /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/css/autocomplete.css
admin/css/dashboard.css /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/css/dashboard.css
admin/css/nav_sidebar.css /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/css/nav_sidebar.css
admin/css/changelists.css /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/css/changelists.css
admin/css/forms.css /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/css/forms.css
admin/css/vendor/select2/LICENSE-SELECT2.md /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/css/vendor/select2/LICENSE-SELECT2.md
admin/css/vendor/select2/select2.css /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/css/vendor/select2/select2.css
admin/css/vendor/select2/select2.min.css /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django/contrib/admin/static/admin/css/vendor/select2/select2.min.css
django_htmx/htmx.min.js /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_htmx/static/django_htmx/htmx.min.js
django_htmx/htmx.js /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_htmx/static/django_htmx/htmx.js
django_htmx/django-htmx.js /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_htmx/static/django_htmx/django-htmx.js
js/htmx.min.js /mnt/disks/pennyloupe_disk/pennyloupe/app/core/static/js/htmx.min.js
js/tradingview/charting_library/charting_library.standalone.js /mnt/disks/pennyloupe_disk/pennyloupe/app/core/static/js/tradingview/charting_library/charting_library.standalone.js
img/how-it-works.png /mnt/disks/pennyloupe_disk/pennyloupe/app/core/static/img/how-it-works.png
img/penny_loupe_logo_bw.png /mnt/disks/pennyloupe_disk/pennyloupe/app/core/static/img/penny_loupe_logo_bw.png
img/volatility.png /mnt/disks/pennyloupe_disk/pennyloupe/app/core/static/img/volatility.png
img/penny_loupe_bg.png /mnt/disks/pennyloupe_disk/pennyloupe/app/core/static/img/penny_loupe_bg.png
img/penny_loupe_logo.png /mnt/disks/pennyloupe_disk/pennyloupe/app/core/static/img/penny_loupe_logo.png
img/news_sites.png /mnt/disks/pennyloupe_disk/pennyloupe/app/core/static/img/news_sites.png
img/pennyloupe_icon.png /mnt/disks/pennyloupe_disk/pennyloupe/app/core/static/img/pennyloupe_icon.png
img/penny_loupe_logo_inv.png /mnt/disks/pennyloupe_disk/pennyloupe/app/core/static/img/penny_loupe_logo_inv.png
css/pennyloupe.css /mnt/disks/pennyloupe_disk/pennyloupe/app/core/static/css/pennyloupe.css
django_extensions/js/jquery.ajaxQueue.js /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_extensions/static/django_extensions/js/jquery.ajaxQueue.js
django_extensions/js/jquery.bgiframe.js /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_extensions/static/django_extensions/js/jquery.bgiframe.js
django_extensions/js/jquery.autocomplete.js /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_extensions/static/django_extensions/js/jquery.autocomplete.js
django_extensions/img/indicator.gif /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_extensions/static/django_extensions/img/indicator.gif
django_extensions/css/jquery.autocomplete.css /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/django_extensions/static/django_extensions/css/jquery.autocomplete.css
debug_toolbar/js/utils.js /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/debug_toolbar/static/debug_toolbar/js/utils.js
debug_toolbar/js/history.js /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/debug_toolbar/static/debug_toolbar/js/history.js
debug_toolbar/js/toolbar.js /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/debug_toolbar/static/debug_toolbar/js/toolbar.js
debug_toolbar/js/timer.js /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/debug_toolbar/static/debug_toolbar/js/timer.js
debug_toolbar/js/redirect.js /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/debug_toolbar/static/debug_toolbar/js/redirect.js
debug_toolbar/css/toolbar.css /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/debug_toolbar/static/debug_toolbar/css/toolbar.css
debug_toolbar/css/print.css /mnt/disks/pennyloupe_disk/pennyloupe/.venv/lib/python3.11/site-packages/debug_toolbar/static/debug_toolbar/css/print.css

Templates (6 rendered)

Template path

  1. templates

Templates

ticker_content_detail.html
/mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/ticker_content_detail.html
Toggle context {'False': False, 'None': None, 'True': True} {'DEFAULT_MESSAGE_LEVELS': {'DEBUG': 10, 'ERROR': 40, 'INFO': 20, 'SUCCESS': 25, 'WARNING': 30}, 'csrf_token': '<SimpleLazyObject: <function csrf.<locals>._get_val at ' '0x7f3fb4e5fd80>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/MRSN/content/4154679'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7f3fb4e5f380>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7f3fb4e5f380>>'} {'content_detail': {'content': <Content: Mersana Therapeutics, Inc. (NASDAQ:MRSN) Q3 2024 Earnings Call Transcript - Unknown>, 'content_content': <ContentContent: Content ID: 2432159>, 'data_source': <DataSource: Quantexa News>, 'publisher': <ContentPublisher: Insider Monkey Blog>}, 'ticker': 'MRSN'}
base.html
/mnt/disks/pennyloupe_disk/pennyloupe/templates/base.html
Toggle context {'False': False, 'None': None, 'True': True} {'DEFAULT_MESSAGE_LEVELS': {'DEBUG': 10, 'ERROR': 40, 'INFO': 20, 'SUCCESS': 25, 'WARNING': 30}, 'csrf_token': '<SimpleLazyObject: <function csrf.<locals>._get_val at ' '0x7f3fb4e5fd80>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/MRSN/content/4154679'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7f3fb4e5f380>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7f3fb4e5f380>>'} {'content_detail': {'content': <Content: Mersana Therapeutics, Inc. (NASDAQ:MRSN) Q3 2024 Earnings Call Transcript - Unknown>, 'content_content': <ContentContent: Content ID: 2432159>, 'data_source': <DataSource: Quantexa News>, 'publisher': <ContentPublisher: Insider Monkey Blog>}, 'ticker': 'MRSN'}
components/leftnav.html
/mnt/disks/pennyloupe_disk/pennyloupe/templates/components/leftnav.html
Toggle context {'False': False, 'None': None, 'True': True} {'DEFAULT_MESSAGE_LEVELS': {'DEBUG': 10, 'ERROR': 40, 'INFO': 20, 'SUCCESS': 25, 'WARNING': 30}, 'csrf_token': '<SimpleLazyObject: <function csrf.<locals>._get_val at ' '0x7f3fb4e5fd80>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/MRSN/content/4154679'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7f3fb4e5f380>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7f3fb4e5f380>>'} {'content_detail': {'content': <Content: Mersana Therapeutics, Inc. (NASDAQ:MRSN) Q3 2024 Earnings Call Transcript - Unknown>, 'content_content': <ContentContent: Content ID: 2432159>, 'data_source': <DataSource: Quantexa News>, 'publisher': <ContentPublisher: Insider Monkey Blog>}, 'ticker': 'MRSN'} {'block': <Block Node: leftnav. Contents: [<TextNode: '\n <div'>, <IncludeNode: template=<FilterExpression '"components/leftnav.html"'>>, <TextNode: '\n </di'>]>}
components/header.html
/mnt/disks/pennyloupe_disk/pennyloupe/templates/components/header.html
Toggle context {'False': False, 'None': None, 'True': True} {'DEFAULT_MESSAGE_LEVELS': {'DEBUG': 10, 'ERROR': 40, 'INFO': 20, 'SUCCESS': 25, 'WARNING': 30}, 'csrf_token': '<SimpleLazyObject: <function csrf.<locals>._get_val at ' '0x7f3fb4e5fd80>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/MRSN/content/4154679'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7f3fb4e5f380>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7f3fb4e5f380>>'} {'content_detail': {'content': <Content: Mersana Therapeutics, Inc. (NASDAQ:MRSN) Q3 2024 Earnings Call Transcript - Unknown>, 'content_content': <ContentContent: Content ID: 2432159>, 'data_source': <DataSource: Quantexa News>, 'publisher': <ContentPublisher: Insider Monkey Blog>}, 'ticker': 'MRSN'} {'block': <Block Node: header. Contents: [<TextNode: '\n\n '>, <IncludeNode: template=<FilterExpression '"components/header.html"'>>, <TextNode: '\n\n '>]>}
components/ticker_subnav.html
/mnt/disks/pennyloupe_disk/pennyloupe/app/core/templates/components/ticker_subnav.html
Toggle context {'False': False, 'None': None, 'True': True} {'DEFAULT_MESSAGE_LEVELS': {'DEBUG': 10, 'ERROR': 40, 'INFO': 20, 'SUCCESS': 25, 'WARNING': 30}, 'csrf_token': '<SimpleLazyObject: <function csrf.<locals>._get_val at ' '0x7f3fb4e5fd80>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/MRSN/content/4154679'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7f3fb4e5f380>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7f3fb4e5f380>>'} {'content_detail': {'content': <Content: Mersana Therapeutics, Inc. (NASDAQ:MRSN) Q3 2024 Earnings Call Transcript - Unknown>, 'content_content': <ContentContent: Content ID: 2432159>, 'data_source': <DataSource: Quantexa News>, 'publisher': <ContentPublisher: Insider Monkey Blog>}, 'ticker': 'MRSN'} {'block': <Block Node: content. Contents: [<TextNode: '\n\n <div class="uk-flex'>, <IncludeNode: template=<FilterExpression '"components/ticker_subnav.html"'>>, <TextNode: '\n <!-- /SUB NAV--'>, <Variable Node: content_detail.content.title>, <TextNode: '</td>\n '>, <IfNode>, <TextNode: '\n '>, <IfNode>, <TextNode: '\n '>, <Variable Node: content_detail.content.id>, <TextNode: '</td>\n '>, <Variable Node: content_detail.content.external_id>, <TextNode: '</td>\n '>, <Variable Node: content_detail.content.author>, <TextNode: '</td>\n '>, <Variable Node: content_detail.content.publish_dt>, <TextNode: '</td>\n '>, <Variable Node: content_detail.content.summary>, <TextNode: '</td>\n '>, <Variable Node: content_detail.content.tags>, <TextNode: '</td>\n '>, <IfNode>, <TextNode: '\n '>, <Variable Node: content_detail.content.sentiment_negative>, <TextNode: ' &nbsp;&nbsp;\n '>, <Variable Node: content_detail.content.sentiment_neutral>, <TextNode: ' &nbsp;&nbsp;\n '>, <Variable Node: content_detail.content.sentiment_positive>, <TextNode: '<br/>\n '>, <django.template.defaulttags.WidthRatioNode object at 0x7f3fb6200ad0>, <TextNode: '%;"></div>\n '>, <Variable Node: content_detail.content.sentiment_neutral>, <TextNode: '" style="width:'>, <django.template.defaulttags.WidthRatioNode object at 0x7f3fb6340fd0>, <TextNode: '%;"></div>\n '>, <Variable Node: content_detail.content.sentiment_positive>, <TextNode: '" style="width:'>, <django.template.defaulttags.WidthRatioNode object at 0x7f3fb62011d0>, <TextNode: '%;"></div>\n '>, <Variable Node: content_detail.content.relevance_score>, <TextNode: '</td>\n '>, <IfNode>, <TextNode: '\n '>, <IfNode>, <TextNode: '\n <li clas'>, <Variable Node: content_detail.data_source.name>, <TextNode: '\n '>, <Variable Node: content_detail.data_source.id>, <TextNode: ')\n '>, <Variable Node: content_detail.data_source.type>, <TextNode: '</td>\n '>, <Variable Node: content_detail.data_source.url>, <TextNode: '" target="_blank">'>, <Variable Node: content_detail.data_source.url>, <TextNode: '</a></td>\n '>, <Variable Node: content_detail.data_source.description>, <TextNode: '</td>\n '>, <Variable Node: content_detail.data_source.weight>, <TextNode: '</td>\n '>]>} {'ticker': 'MRSN'}
components/footer.html
/mnt/disks/pennyloupe_disk/pennyloupe/templates/components/footer.html
Toggle context {'False': False, 'None': None, 'True': True} {'DEFAULT_MESSAGE_LEVELS': {'DEBUG': 10, 'ERROR': 40, 'INFO': 20, 'SUCCESS': 25, 'WARNING': 30}, 'csrf_token': '<SimpleLazyObject: <function csrf.<locals>._get_val at ' '0x7f3fb4e5fd80>>', 'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/MRSN/content/4154679'>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7f3fb4e5f380>>), 'request': '<<request>>', 'user': '<SimpleLazyObject: <function ' 'AuthenticationMiddleware.process_request.<locals>.<lambda> at ' '0x7f3fb4e5f380>>'} {'content_detail': {'content': <Content: Mersana Therapeutics, Inc. (NASDAQ:MRSN) Q3 2024 Earnings Call Transcript - Unknown>, 'content_content': <ContentContent: Content ID: 2432159>, 'data_source': <DataSource: Quantexa News>, 'publisher': <ContentPublisher: Insider Monkey Blog>}, 'ticker': 'MRSN'} {'block': <Block Node: footer. Contents: [<TextNode: '\n '>, <IncludeNode: template=<FilterExpression '"components/footer.html"'>>, <TextNode: '\n '>]>}

Context processors

django.template.context_processors.csrf
Toggle context {'csrf_token': <SimpleLazyObject: <function csrf.<locals>._get_val at 0x7f3fb4e5fd80>>}
django.template.context_processors.debug
Toggle context {}
django.template.context_processors.request
Toggle context {'request': <WSGIRequest: GET '/ticker/MRSN/content/4154679'>}
django.contrib.auth.context_processors.auth
Toggle context {'user': <SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7f3fb4e5f380>>, 'perms': PermWrapper(<SimpleLazyObject: <function AuthenticationMiddleware.process_request.<locals>.<lambda> at 0x7f3fb4e5f380>>)}
django.contrib.messages.context_processors.messages
Toggle context {'messages': <FallbackStorage: request=<WSGIRequest: GET '/ticker/MRSN/content/4154679'>>, 'DEFAULT_MESSAGE_LEVELS': {'DEBUG': 10, 'INFO': 20, 'SUCCESS': 25, 'WARNING': 30, 'ERROR': 40}}

Cache calls from 1 backend

Summary

Total calls Total time Cache hits Cache misses
0 0 ms 0 0

Commands

add get set get_or_set touch delete clear get_many set_many delete_many has_key incr decr incr_version decr_version
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Signals

Signal Receivers
class_prepared
connection_created register_type_handlers
got_request_exception
m2m_changed
post_delete
post_init
post_migrate create_permissions, create_contenttypes
post_save create_initial_trade_position
pre_delete
pre_init
pre_migrate inject_rename_contenttypes_operations
pre_save
request_finished close_old_connections, close_caches, reset_urlconf
request_started reset_queries, close_old_connections
setting_changed reset_cache, clear_cache_handlers, update_installed_apps, update_connections_time_zone, clear_routers_cache, reset_template_engines, storages_changed, clear_serializers_cache, language_changed, localize_settings_changed, complex_setting_changed, root_urlconf_changed, static_storage_changed, static_finders_changed, form_renderer_changed, auth_password_validators_changed, user_model_swapped, update_toolbar_config, reset_hashers, Options.setting_changed, update_level_tags, uninstall_if_needed, clear_caches, FileSystemStorage._clear_cached_properties, FileSystemStorage._clear_cached_properties, FileSystemStorage._clear_cached_properties, FileSystemStorage._clear_cached_properties, FileSystemStorage._clear_cached_properties, FileSystemStorage._clear_cached_properties, StaticFilesStorage._clear_cached_properties