Therefore, it is tied for member statements, the member from Elginville-Sexland. Thank you very much, Mr. Speaker. March is Pharmacist Awareness Month, the perfect time to celebrate pharmacist expertise in the important role they play in delivering quality care to their patients. This year, the Ontario Pharmacist Association is incurring everyone to know your pharmacists. Pharmacists are the most accessible of all healthcare providers, with many pharmacies being open 24 hours, and pharmacists can offer and provide services and consultations without the need of an appointment. Pharmacists offer more than pills. Many provide services such as chronic disease management and obtain certifications in either diabetes education or respiratory education. Others obtain certifications in mental health, cardiology, or geriatric care. Did you know that you can get a travel vaccination from your pharmacist? As of 2016, Ontario pharmacists can give over 10 types of vaccines to their patients. Pharmacists support rural communities across the province. Pharmacists support people struggling with mental illness. Pharmacists support people with cancer. Pharmacists support family business. And pharmacists support people struggling with drug addiction. However, we mustn't forget the dedicated pharmacy team who work at hospital settings. Hospital pharmacy teams provide care that respects patient preferences, needs, and values. The hospital-based pharmacy team partners with patients to ensure that medication information that is based on the best quality evidence to achieve their healthcare goals. During Pharmacy Awareness Month, get to know your local pharmacists and explore everything pharmacy practice has to offer. Thank you, Speaker. Thank you. Further member statements? The member from Essex. Thank you very much, Speaker. It's an honour to rise today to acknowledge some of the great things that happened in my writing. Today is no different. This time, the honour goes to the folks at the Assisted Living Southwestern Ontario Organization. I want to give a shout out to Lynn Calder, who is the executive director there. Speaker, specifically the project is called We Are Able. And it was delivered by some good friends of mine, namely Kevin McShann, big shout out to Kevin McShann, and Chris Lemieux, and Rebecca Lefebvre, who developed a program that reached out to employers in my region and informed them about the benefits of hiring people with disabilities in their workplaces, therefore diversifying their own workplaces. Speaker, I don't know if you know, but in the very near future, 40 percent of Ontarians will have some form of physical disability. And it only makes sense for those prospective employers to be reflective of the society and the customers, so to speak, that we serve. So not only does it make good economic sense, it makes good social sense, and these folks are ready, willing and able to work. So this program is wonderful. Over the last 13 months, the project made over 30 presentations and connected with hundreds of potential employees that resulted, Speaker, in 20 direct hires from their initiatives. So I want to give a shout out. Also we had a volunteer and appreciation dinner through also last week, where they recognized people who have employed folks through this program. Our colleagues from Windsor West, Lisa Gretzky is among one of the recipients of being recognized as well as Brian Massey, Cheryl Hardcastle, and Mr. Maid and the John McGivney Center are all taking part and they're making a difference in our community. Thank you very much, Speaker. Thank you. For the members, the members from Kingston and the Islands. Mr. Speaker, last Friday I was absolutely thrilled to join Tom and Chavie on their regular weekly route, delivering meals to seniors for Meals on Wheels, which is run by the VOAN of Greater Kingston. As you may know, Mr. Speaker, this month is March for Meals campaign, which highlights the incredible work done by 9,000 volunteers across Canada and 40,000 meals in Kingston alone per year. These amazing teams not only offer a meal, they also provide reassurance, routine, and companionship, and they will report any issues to the VOAN if there is something amiss. Mr. Speaker, it takes a special team of compassionate and highly competent individuals to provide this intuitive approach to care in our communities, something that I know firsthand the VOAN is a master of. The Meals for Wheels campaign is such an excellent program to provide this watchful eye. This year is the 120th anniversary of VOAN, which is Canada's only not-for-profit charitable home and community care organization. I would like to extend my heartfelt thanks to Karen Lowry, the Meals on Wheels coordinator in Kingston, and her dedicated network of volunteers that fan out across our community every single day. Mr. Speaker, Winston Churchill once said that you make a living by what you get, and you make a life by what you give. I salute every one of the toms and chavies out there volunteering for Meals for Wheels campaign. Together, we can help seniors in our communities live more happy, healthy, and independent lives. Thank you. Does that have a foot in the Meals on Wheels that was started in Brantford, Ontario? Further members, the member from Kitchener-Constance. Yes, well thank you, Speaker. I always look forward to the opportunity to invite members and those across Ontario down to Elmira for a syrup-infused celebration as we join in the Guinness-recognized Elmira Maple Syrup Festival. That's right, Speaker. It may be April Fools on the counter, but there's no fooling the people of Waterloo Region. April 1st is syrup time, and trees have been tapped, and organizers and more than 2,000 volunteers are preparing the site where my team will join with those across the region to serve the best pancakes in Ontario. Of course, topped off with a heaping dose of Elmira's legendary maple syrup. I also wanted to give my colleagues from the region fair warning that this year my teammates on the Joy Bats-inspired batter flippers are back to claim our prize. Victory and the syrupy sweet bragging rites in the annual pancake flipping contest. Well, we're flipping batter and serving up pancake, Speaker. Visitors will have a chance to take in a full slate of the best that Elmira's cherished festival has to offer. From a visit to Old MacDonald's Farm to live music, pony rides, and of course the mobile sugar shack, there's something for everyone. And then there's the once a year chance to meet with Flapjack himself. Speaker, this is an opportunity that's not to be missed. So come on down to Waterloo Region and bring your sweet tooth with you as we celebrate the 53rd annual Elmira Maple Syrup Festival and sweet victory for the batter flippers. Thank you, Speaker. Thank you. Further member Thames-Smith from London West. Thank you, Speaker. It is my great honour to rise today to recognize the amazing work that is being done in my community to advance anti-racism, human rights, and equity. On Sunday, March 26, the Ontario NDP celebrated the 20th anniversary of the prestigious J.S. Woodsworth Awards, and four of the finalists, including one of the winners, came from London, nominated by me and my colleague, the MPP for London Fanshawe. Sunday Ajak is an accomplished young man and inspiring speaker who moved with his family from Sudan 18 years ago to escape civil war. In 2000, Councillor Harold Asher was the first black Canadian to be elected to London City Council and has been one of our strongest champions of inclusion and workplace diversity. Mojde Cox has worked tirelessly to create a more just and equitable society through her advocacy with the Labour movement and her involvement in local efforts to end carding. And finally, Councillor Mohammed Saleh has mobilized the community around refugee inclusion, interfaith collaboration and abandon on carding. A winner of the 2015 Black Canadian National Leadership Award, he is the first Sudanese politician to be elected outside of Sousa Sudan. It was my great honour to nominate Mo and I am thrilled that he was selected as one of the four award recipients. The outstanding commitment of leaders like these is supporting London's efforts to challenge racism and Islamophobia and create a community where everyone feels safe, welcome and able to participate fully. Thank you, Speaker. Thank you for the member statements, the member from Mississauga Street. Thank you very much, Speaker. Speaker, in March Sheridan College in Mississauga opened the new Hazel McCallion campus. The new facility extends post-secondary education to an additional 3,200 Ontario students, the majority in Mississauga and Brampton. The new 220,000 square foot building features 29 state of the art classrooms, 28 studios, labs and production spaces where the students will experience hands-on learning. Its design is sustainable, energy efficient and is built to state of the art lead silver standards. I joined Ministers Deb Matthews, Charles Sousa and Deepika Damerla, as well as MPP Amrit Manget, whose hard work on behalf of Sheridan College was publicly acknowledged. Mississauga Mayor Bonnie Cromby and other dignitaries were also there to officially open the new Mississauga facility. Ontario's investment in the Sheridan College expansion of the Hazel McCallion campus in Mississauga is some $67.7 million. It completes the second phase of Sheridan College. That increases the number of full-time Sheridan students in Mississauga to a total of 5,600. Since 2013, Ontario has invested more than $785 million in capital funding at Ontario's colleges and universities. Sheridan's global reputation as a centre of excellence in digital effects and other programs can continue to attract the world's best minds to live and study in Mississauga. Thank you. Thank you for the member's statements. The member from Perth Wellington. Thank you Mr. Speaker. Corbyn Smith is a student at Listwell District Secondary School. He is also a first-class athlete in the sport of sledge hockey. Sledge hockey is a Paralympic version of ice hockey. Players are strapped to a two-bladed sledge and move along the ice using a stick, with spikes on one end and a curved blade for shooting on the other. It's an amazing sport. Corbyn has proved himself a tremendous Paralympic athlete. In fact, he recently competed with the Canadian men's sledge hockey team at the World Tournament in Torino, Italy. It was no accident that Corbyn's team won the gold medal. Over Norway, outscoring their opposition 29-2 in their five wins. His team may surely appreciate Corbyn's positive and humble attitude. Here's how Corbyn recently described his experience. Definitely amazing and one of the best opportunities in my life. Gotta take advantage of every moment that I get. For me, it's just going out there every game and playing my hardest and doing the best I can. We congratulate Corbyn and his teammates. We will all be cheering for Canada's national sledge team as they compete in the upcoming 2018 Winter Olympic and Paralympic Games in South Korea. Thanks, Speaker. Thank you. Further members statements? The member from St. Catharines. As the 2021 Canada Summer Games Evaluation Committee considered bids for this athletic competition, the NAGRA proposal is strong and compelling. As a community that has hosted, among other events, the 1970 and 1999 World Rowing Championships, the 2016 IIHF Under-18 Women's World Hockey Championship, Key Water Events for the Pan Am Games in 2015, the 2017 Canadian Women's Curling Championship, and the annual Royal Canadian Henry Regatta, NAGRA has an excellent record of success and planning and operating major athletic competitions could be count upon to do so for the 2021 Games. With Brock University, NAGRA College, the Meridian Center, the Well and Sport Complex, the Henley Rowing Course, the NAGRA Flatwater Center in the Great Lakes, all available as sites, and with significant Francophone community in NAGRA, many unique tourist attractions and close proximity to the U.S. border are bid. Supported unanimously by all communities in NAGRA is solved and merits, in my view, approval. The regional municipality of NAGRA has committed $10 million and the business community has expressed strong support for both the bid and for the operation of the Games. I'm confident that NAGRA would do a superb job in hosting the 2021 Canada Summer Games, and I commend Doug Hamilton, Ram Cotton, and Matt Hill of the NAGRA Sport Commission on reaching out and building a coalition and demonstrating outstanding leadership in the NAGRA bid. Thank you for your members, students, and members in here on this. Thank you very much, Mr. Speaker. As with warm days and cool nights, I also want to talk about a sweet thing that's happening in my riding, and that is the sap flowing around the Belmore area, and soon people will be flowing to that hamlet with a heart for the 50th anniversary of the annual Maple Syrup Festival in that community. It's held this year on April 6th and Saturday, April 8th, in Belmore, and the festival has planted its roots deep and grown over the years to the great event that it is today. In 1968, the local community center was in need of a new roof, and it was suggested that a Maple Syrup festival could be held to raise funds for this project, and that year more than 1,800 people came out to tap trees and produce a whopping 725 gallons of Maple Syrup, and my grandfather was involved in that initiative. And by the end of the year, Speaker, guess what? The community center had a brand new roof, but as a side note, I think it's a heartache to share that the January hydro bill for this very community center had a global adjustment line item of almost $6,000 for one month, and they're going to have to do more fundraising just to make sure they cover the cost of their bills to keep that building going. But I want to end on a good note. It's the 50th anniversary of the Belmore Maple Syrup Festival this year. Please make the drive to Belmore. You won't be disappointed. It'll be a sweet treat for everyone. Thank you very much. Thank you. Thank all members for their statements.


Great, so yeah, thanks for having me here. It's actually my very first uropyton I have to say there's a great colleague of mine who has mentioned it quite some many times So I said it okay give it a try and try to submit your talk to the uropyton and now I'm here in lovely Dublin So thanks for having me. I guess in the recent days. We have already seen a couple of things around Spotify around GDPR Also about the downsides of let's say data science So for me as a data scientist sometimes GDPR feels like a burden But also of course it's in the interest of consumers or at least that it's how it's intended to be So a couple of or quite a while ago. It was I guess in December. It was a winter day I just said myself. Okay, let's give it a shot and pull your GDPR data that Spotify has collected about you so far and Just check it out and try to make use of it. And this is how that whole thing developed So maybe a couple of words about myself. So as you have already heard my name is Marcel So I'm a senior data scientist. I work for Inovex. So Inovex is some IT project house in Germany So I'm basically also in Cologne and what we do is basically Projects in data science and application development IT operations So and I also just decided to start my own podcast So this was actually back in September last year where I said, okay, I'm a real big fan of recommender systems I like the technology. I also like its implications and I like to talk to people and exchange with them So this is why I raised that podcast where I basically talk to industry experts and experts from academia And of course, I do build recommender systems myself. So for different clients and industry I do cross-domain recommender systems So I would like to know based on for example, you're listening behavior What may be music or not music but video material audio books you might be interested in and I've also done quite some some few works in e-commerce and Yeah, that's basically it. So give the Rex Burt's show definitely a try But actually you are expecting something for me and not I am expecting from you to listen or to subscribe to my podcast So now I should need to deliver a bit So Recommenders can grow complex So this is a very good image that depicts the different complexities within the recommender system on a high level by Eugene Yan that I really really love because it's so comprehensive and shows what you can really do in a system but also how things flow through it and Maybe back to GDPR So I have to admit I'm a big fan of Spotify and I guess I will be running into the risk of doing Much of Spotify advertising here So bear with me on that side. I guess I have been using Spotify for already 10 years now and there's a problem because I have that like songs playlist like many of you like have so maybe just to ask At that point who is using Spotify actually Okay, so there might be a couple of people who could make use of it I at least hope if not there might be many complaints during the weekend But at least that's also good because that shows that people have tried to use my software Another question where I would expect a couple of fewer heads Who has actually requested his or her GDPR data recently from some platform? Or maybe not also recently. Okay, I see at least one to a couple of hands nice And maybe now it comes a weird question and then I will finish off the questioning part Who is a semi professional or professional salsa dancer? At least who is into salsa cubana a bit? Okay, I will come back to you By the end Okay, okay, okay, but but maybe this is going to entertain you. Yeah Thanks So and what basically bugs me is you know, I guess back then when I did that project in December I had maybe one thousand eight hundred songs as a large stake on my like songs playlist. So it's every time like you Listen to your discover weekly and you enjoy a song then you just push on that heart button and it goes on top of your like songs playlist and Then from time to time I go into the playlist and I listen to the most recent songs Which are maybe let's say the 10 or 15 most recent. So this is at least very nicely describing my common behavior So I listen a lot to the discover weekly playlist But I also listen a lot to the songs that I've liked in the past which is kind of obvious but the problem is there are so many songs and I'm just using so few of them and I guess maybe Spotify I hope so has also recognized that problem to some certain part because sometimes from time to time I experience that somehow the shuffling function activates in my Spotify When I'm listening to Spotify from my listening for my like songs playlist and I wonder about okay Why do they do that? Maybe they have recognized that problem about people that are not Experiencing music that is further down. They're like songs playlist They're maybe something like that and then try to re-engage people with what they have liked in the further distant past At intellects we also say of course we want to use technology that inspires our clients But we also want to use technology that inspires ourselves and this was where I started and since I also have some kind of economics background Economists like these graphs which go into two different directions and maybe just have these fraud credrants in this We have just said one quadrant, but we could also check out the other directions and What I would what I basically did there is I asked myself. I mean there are Automated personalized playlists on Spotify already one of them I already mentioned which is the discover weekly playlist, but they are further so there is also that on repeat which says that it exploits your listening behavior of the past 30 days and Basically compiles on a daily on a daily basis a list that kind of is a collection of these 30 thongs And then repeat rewind goes a bit further So it just says it goes beyond that one month But it seems like it doesn't go so far and then of course It's a time of the year by the end of the year where everybody on all the social media is posting Their top songs of year X like for example last time 2021 So what you have lived listen most what are your favorite artists and so on and so forth But for me there was as I said something missing so something for rediscovery that exploits even Data that goes far beyond that point So and this is when I said, okay what about a personalized playlist for long-term music rediscovery and I felt that was somehow missing and Then I just came up and said, okay, maybe GDPR could be of benefit there I even haven't seen my data at that point But this was some kind of a parallel process Sometimes you first come up with an idea and then you try to search for the data Sometimes you first have the data and try to come up with an idea, but at least I had the problem framed So let's now solve it. So what I basically did is I requested my GDPR data from Spotify And at least there were of course a couple of files provided in the nicely bright and nice jasons and there were two interesting files because there was one file This is shown at the top which was basically Collecting all my light songs that I have collected so far and on the other hand side There was also my streaming history of the past 12 months. So I knew which song I have listened to at which time for how long from which artists with which you are I and so on So what we are going to do is we use these two jasons and it's not mainly only two jasons because it depends on how many streams you have performed so far and We use Python and we use Python to basically induce a user music taste profile So I basically create a profile about my own taste based on my streaming behavior of the past year And there were I guess 15k songs So quite some songs that I have listened to which could give me some evidence about my music taste And then what I do is I use that music taste to search in the space of songs That I haven't listened to for more than 12 months ago So I ignore everything that I have listened to in the past 12 months But what is still in my like songs playlist and I use basically my music taste profile as a filter within the space to retrieve what is closest to my annual or current streaming behavior But I which I haven't listened to in the past 12 months to kind of let me rediscover the past of myself for example And I do this of course with fetching some rich additional data from the Spotify web API And in the end what we do is we create a playlist Which is basically just a simple pandas data frame and then we upload it to create our own playlist on Spotify So and then we basically solved it and also have a playlist for long-term rediscovery of music And I definitely agree. There is still some a lot of blank space there Which I might address with one of my ideas by the end Okay, so maybe just a short discovery of the gdpr. So there's an article 15 of gdpr So let's do some law and the gdpr article 15 What does it says in the end is the information that you are going to request Shall be provided in a commonly used electronic form sounds like jason as I already mentioned it was jason But of course and I saw these three four five hands here in the audience that said, okay I have requested my data in the past you can also do that with other platforms and maybe there is stuff enough for future project So I did it with uh twitter. I did it with LinkedIn. I also did it with instagram I mean, there's no big magic there What I just want to show you most of the times you can get your data in two to three steps And then it will be provided I guess as part of her daily batch job Which generates the data and provides it and then you can basically download it a couple of days later So, okay, but I'm supposed to talk about Spotify not about twitter, linkedin or any other platform So how did the process look like in the example of Spotify? So for Spotify, they are at least two different options So you can request your they call it standard data or your extended so-called full history data What's the difference there is as I already said the standard data only contains your streaming history of the past 12 months Though it's a bit tinier and the extended is really the full history So when requesting my full history, I really got my streaming history that covered since these Since I joined Spotify in 2013 2012 as a user. It was about 220,000 streams that I completed so far So the first part the standard I guess in my case took a couple of days to be provided The second one is a bit more of an extensive process Extensive in compression because you need to write an email and then you get a confirmation And then after in my case, it was two weeks I was provided the file for download and there I had all my data that I could use But this case will be focused on your standard data so that if you like to use it you can easily get started there So how does it look like as I said you get some nicely raised there not too comprehensive in terms of the breadth of information So what you basically have there and what we are mainly focusing on here are these streaming histories jason So they are batched by 10,000 So Therefore we see two because I had I guess 15 or 16,000 songs there and you have your library And this your library that we see here already or not already it directly relates basically to that playlist So it basically resembles this like songs playlist where I say I have difficulties to re-engage in content That is a build order and you directly have it here What is a bit unfortunate about this is that you don't also have URIs provided in that streaming history Though you have it in the extended history. So there you have a bit more breadth of information So what I did here basically was some matching by joining artist name and track name And then finally matched with this one where I could also join these two things together and it worked But this is always a bit. Yeah, not so nice So it would be greater to directly join it via the URIs But this is very specific So and then as a data scientist I like to look into the data and just check it out what is in there and basically this was already where the Ideas somehow evolved of how I could also use it to create my own playlist recommender So basically as I said a year I had a couple of 15,000 streams Interestingly though what was that Along these 15,000 songs there were only 4,500 unique songs So which means that on average I'm listening to the same song for three times in a year I don't know what this says about myself, but it's up to you So and what we also are going to do is We discount all the songs all the streams that we just have listened to for less than 30 seconds Because this is not really a strong signal. And of course I want to exclude Weak signals in building my my user profile, of course, maybe you can also use that data to create some kind of The inverse taste and use that somehow so something up for personal work definitely What was interesting though? So along these 1,800 songs there were 60 percent That I haven't listened to in the past 12 months. So basically these 1,100 200 songs were actually Constituting the corpus from what I wanted to retrieve my songs using my taste profile So there are also some some some nice histograms you can build from it, but I will skip that So let's come to the core part I said now we have the data we use python sender to beta notebooks to process the data to get some insights about what has going on there And now comes the more interesting part. We was because we want to enrich the data As I said, we want to build a music taste profile. What I can do so far is that I can of course say what is my Most popular artists or what are the most popular artists or something like that? But there is not that much more I could also for example say when are my core using times and for example to say in the morning I'm rather listening to these artists and in the evening. I'm listening to the other artists so Maybe context aware recommender systems might ring the bell there if you have heard about this So I wanted to enrich the data and there is a nice Spotify web api that I used for that purpose first Of course, you need to register as a developer But it's also not such a big effort and then you create an app there And this app you are later on going to use in order to upload your playlist that you created on your Machine and to make it available in your own Spotify account or also to provide the service to others because I guess for one App you can register up to I guess it says 25 people that are using this app So for a small group of people I haven't found so far anyone who is interested in it But maybe I will do soon So there comes the interesting part because now we know artists We know the song names, but this is not leading to much more So what I basically did I used that data and basically queried additional audio features for each of the tracks From my like songs playlist and also for what I have been listening to in the past year So and this was kind of the key point and this api is quite nice because it shows you some More depth about certain songs. So To give you an example So there are various I guess you can't read it here But you get for example the tempo of a song You get it in beats per minute to just get an understanding of how fast or how slow the song is You get its dance ability you get its acousticness or speechiness or all this stuff So it's not so many but it's at least interesting features So it's 10 to 15 features that we use there and I was already able to say Okay, so given my behavior in the past 12 months and given the features of what is on my like songs playlist How did it change somehow and then I could already understand Okay, I have been turning a bit too less acoustic music, but to more Danceable music. So maybe I've been a bit more happier in that year. You couldn't fur or something like that I'm not sure And of course as always we need to transform somehow the data because it's on different scales So what I basically did is for each of the songs that I have listened to in the last year I basically fetched the features and I also Count it accumulated to how often I listened to it And of course now I don't want to have a song that I listened to and this was the case 150 times for example to have such a large impact And this is why I sometimes dampen the data a bit and their log transform or other transformations can help you a bit Is because in the end my user profile is nothing else Then like a weighted average and weighted by the number of normalized counts of the features of the songs So I'm basically trying to represent myself in the space of the item features Meaning that I now get a dance ability distribution for myself or a acoustic ness distribution over myself And this one I could then use as a search query in that space of not or under explored items So and by undexport I mean those that I want to retrieve from so those that are older than these 12 months So yeah, and this basically boils down to the thing. I am what I listen to So in another context, so as I mentioned, I've also worked on on e-commerce recommender systems So there's a blog post that I wrote about a deep learning for vehicle recommendations for a larger platform in Germany And what you see here is that we also can apply this in different settings So what you see here is we have a user that user interacts with cars for example by contacting a dealer or clicking or viewing or printing And of course you cannot collect all these events and they kind of resemble different Degrees of preference for the content. Of course if I contact a dealer Maybe in order to to arrange for a test drive test ride Then this might be a stronger feedback than just clicking a vehicle page And what I can then do is basically to take all these features that are connected to the items So those things that I want to recommend to the user and basically Create statistics over those interactions that are also somehow weighted in order to come up with a probability distribution for the user Such that I'm able to represent the user in the space of the items So that for example, I have a mean price for the user that I could use to say Okay, that user might maybe not be interested in cars that are pricier than 20 or 30k Yeah and then both data scientists, especially if they work in uh recommenders love is the cosine similarity Because you might have asking you so far. Okay, but now are how are you actually comparing these two things with each other And there what we normally do is we have those embeddings In my case, we don't even have an embedding because we don't really train anything there But this is not too bad But we can still apply the cosine similarity there some underlying assumption that I'm making by doing this is That all these features are of equal importance Even this might be something we could question in the future and that might also be able to learn from your own data Because you might rather be interested in songs that you're listening to Which are closer to your own dance ability or your own tempo and you disregard those that are far off your mean Let's say instrumental or something like that. So in this way, you could also say, okay I will learn a music taste profile for a user and also arrange the The the retrieval process in my item space by Paying more attention to those features that matter to the user. So and how does it finally look like? So we basically created that user taste profile. I guess we have a 15 dimensional space. So it's not too large I mean, if you are dealing with embeddings and we are somewhere rather in the hundreds of size So this is a very small size here So we basically have that user representation in that multi dimensional space now And we have all that items there that we could also represent in the same space And then what we typically do is we compute the cosine similarity for all of them Don't do this for production systems where you have millions or even more items Because then you're better off with using approximate nearest neighbor search What we are doing here is really exact nearest neighbor search because we can afford it if there are just 1000 or 2000 items where each has a dimensionality of 15 So and now comes the most boring chart and the most self evident Of course the red ones are the ones that look good And you see if I now sort all these songs that I haven't discovered from my like songs playlist Then you see it just goes off but still those that are on the list, but the Let's say worst ones have a quite high cosine similarity So in absolute terms, maybe not in relative terms of 0.6 or something like that So makes sense so far. And now it's up to you. How many do you want to retrieve? How many top k items do you want to take from from that from that candidates in my case? I said, okay, I just want to take 20 And then you basically had your songs you had their uris So now comes maybe the easy or light part and there I made use of spotty pie So spotty pie just makes it for some certain things a bit easier to deal with the spotify web api especially when it comes to The part of doing authentication because sometimes I feel very lazy about this stuff. Maybe I shouldn't At least I used spotty spotty pie then in the end to just simply Create a playlist in my account and upload a corresponding image that I Kind of borrowed a bit from the style of the previous spotty pie images and then used for my own individual playlist So and this will bring us maybe just to share a bit of what the result was in the end in my case So therefore what I will do is I will quickly switch to This notebook here. So what we can see here, um, you will all find this material in the corresponding A github repo. So there's a repo that's called liked to play and and like to play There is we had just that session before about good and well documentation I'm not sure whether I'm doing that good here, but at least I show you how to set up your environment how to Activate it and how to install the package and then make use of it yourself But don't forget to further or query your data your gdpr data and request it from spotify because of course you will need it because Data science and this might not be even be regarded as data science because it's rather nice analytical case Is senseless without data most of the time So what we now see you will also find these notebooks there if So I will skip the part of creating the playlist uploading the playlist. So let's look into My extended history. So as I said, I requested both data sets. So the standard set and the extended set So and then I basically looked into my extended history that really covers from 2022 back to 2013 to just check out Okay, so how are we actually doing and how are these 20 songs that I now retrieved? Compared to my listening behavior. So how old are these songs? How far have they been in the past? When did I consume them the last time and what you see here? So these are basically the URIs of these 20 songs is I mean the top song I really consumed a lot Was in my overall history and the least likely song at this position was only consumed four times Nevertheless, it was on the like songs playlist and it was among the 20 songs that was closest to my current music taste profile And I could also check when I listened to them the last time, but this was basically my distribution So also another not too fancy plot. I will definitely check out that pie with you that was presented yesterday But what we basically see here, it works. So it's not only music that was really tightly before that streaming history So from 2020 it was music that kind of covers All the time that I've been using Spotify, especially from the years 2016 to 2018 So really some older songs I should re-engage with So and this actually brings me to the end of my talk But now you might also question. So give us something more concrete show us what you have found there and now you come into the game because Um, I want to at least share with you how it now looks like on the platform because if we just go on my Spotify rediscover playlist then you will find that playlist and the very first one was actually a nice one because I did some salsa cubana classes quite a while ago and there was a song that was really, yeah, um Every time kind of in every class this one was played and it was Welcome to the rediscover past Yeah Yeah, I was shooting for that to get already some applause before the end of my talk. Thanks for that Maybe I should not only re-engage with the music But I should also re-engage with taking further classes because I was not sure as I was doing my best job here on stage But at least I tried. Yeah, so I'm not afraid to make a fool of myself Okay, so we have that rediscover past but now you might mention come on. This was very easy Yeah, you took some weighted average. You took that weighted average to discover Something that you have already seen so far, but I mean we could go further So we can think about extensions here I mean we could also there is another endpoint that delivers the recommendations that Spotify also has there I mean we could now use these songs that we came up with as seeds for the recommender api And this recommender api you can feed with songs So basically was up to five. I guess you are eyes for for for tracks on Spotify, but also with artists or With with genres So why not kind of inferring your genre distribution your top genres and then take those five from those 20 tracks as seeds and look what the recommender api might return you there and this then might give you some uplift here And move that only rediscovery focused playlist more into the discovery space At least this is what I'm going to try in the future And yeah, maybe also thinking about how you can update it more frequently without asking all the time for your provision of data by spotify Yeah, as I said, you will find all the material in the github page There's also a corresponding blog post your rediscover path proposing a new personalized playlist for spotify And of course if you have questions meeting at the conference, I mean, it's the last day, but it's not too late On inovx. We also have nice research and case study. So we also do research that we Show at the recommender systems conference. And of course, please please please listen to my podcast. That's it. Thank you Thanks Marcel. We have a couple minutes for questions. If anyone has some please come to the front Uh I would have one while we wait. Um, were you happy with the The new playlist or was there someone there you're like, uh, don't want to listen to that again I mean the way that I that I that I composed the playlist. Let's let's be honest. It's relatively naive Yeah, it's but it's it's a first shot. So therefore these songs they were not of some certain notion I mean, they're of totally different genres I mean, there's salsa kubana music next to some really more Melancholic music and then there is pop and there's rock. So there's it spans kind of from you too over killers to malo ruiz. So And this might be a bit irritating. So in that sense, I'm not really satisfied. But at least I have some hypothesis how to deal with it Hello, um, I have a similar question. Um regarding all the different features of the music So I have a very diverse music taste And uh, some of the genres involve no vocals at all others a lot of vocals and I probably would hate a playlist with only music that is right in the center of those two Um, that's this recommendation Uh algorithm account for that like would you still get the extreme outlays of your music taste? Um, no, it doesn't account for it yet or maybe only implicitly because of course, um, if your taste might be in the middle But due to that being too centric and too Out of average, this might be reflected by mismatches in the other dimensions of your profile And then since the cosine similarity kind of incorporates all those different dimensions that might account for it might Yeah, so nothing explicit, but it might work implicitly. If not, you have to put in some more rain work there Thanks Okay, I think we'll wrap up now the lightning talks start in five minutes. So once again, thank you Marcel


The 5 Best Ethel Games for Adult Students Most Ethel certified teachers the board will come across adult students sooner or later in their career. While you might have already prepared a folder full of fun Ethel games that work like a charm for young learners, not all of them will be useful for adult students. That does not mean, however, that adults don't enjoy games in the classroom. There are 5 favorite Ethel games for adult students. 2 truths and a lie. This activity is a great way to get adult classes going and it's so easy to play. Have your students think of 3 statements, 2 have to be true and 1 of them has to be a lie. Next, the students share their 3 statements with the class and the other students, or the teacher, have to guess which statement is the lie. This is especially great as a way to get to know your students in the very first lesson. It's even more fun when the teacher joins in as the students are always curious to learn interesting facts about you. Jeopardy. Jeopardy is a popular game for all types of students, but when playing it with adults, you can choose harder categories and they get really fired up. It will take some time to prepare, but once you have done it once, you can use the material over and over again. Here's how you can play it with adults. Select your categories depending on your student's level or background. For example pass continuous or business vocab. Next, write the value of the clue on one side of the paper and the question on the other side. Your clues valued at $100 $500 for regular and $200 $1000 for double Jeopardy, just like in the TV show. Divide your students into two or three teams depending on how big your class is. When you're ready, determine who starts and have them choose a category. For example, business vocab $300. Read out the question and wait for the student to answer. The student may consult with his team. If they don't know the answer, you can pass the question on to the other team. Keep track of the money and don't forget to subtract money for wrong answers. Movie trivia. This game works especially well for adults as it allows them to talk freely and express themselves in English on multiple levels. Basically, you divide the class into two teams. One student from each team writes down facts about a movie on to the board for everyone to see. His or her team members now need to guess the correct movie. If they get it right, they get a point but if they don't the other team gets a chance. You can also play this with books or even songs. For example, to make it harder, you can limit the students to only sharing three four statements about the movie. This also saves time and makes sure the game won't take too long. How to Game. A very fun game that really gets your students creative minds going is the how to game. If your students don't know this game yet, show them a video of a short how to tutorial. Once they understand the concept, divide them into groups and have them write their own how to instructions for a secret task. Change advanced students to be as creative as possible, such as how to travel back in time or how to become a millionaire. Next, the groups present their tutorial and the other students need to guess the secret task. You'll be surprised what your students come up with. The Great Debate. Advanced students always love a good heated debate. Show your students photos or articles about recent or controversial topics, such as war, protests, etc. Next, divide your students into two teams and assign an opinion on the matter to each team. One team will be pro and one team con. For example, one team is for the reunification of North and South Korea and the other is against it. It's important to assign the opinion to each team so that the students don't need to share their personal opinions. Next, have them start debating in an orderly fashion switching from one team to the next. Also be sure that every member of a team expresses their thoughts during the debate and nobody is left out. Are you ready to teach English abroad? These five TEFL games for adult students will make you their new favorite teacher. Speak with an ITTT advisor today to put together your personal plan for teaching English abroad. Send us an email or call us toll free at 1-800-490-0531 to speak with an ITTT advisor today.


The following is a presentation of TFNN, the Tiger Technician Hour with your host Basel Chapman. Call now. Call free at 1-877-927-6648. I'm Basel Chapman. On this 27th of February it is closing in on the end of the month and we're looking at on this Tuesday we're looking at a situation where the dial is down 137. I couldn't quite find out I think it's a CVX a couple of a couple of other stocks maybe that are down but the others that are up so I'm quite intrigued by this. Now one of the things one of the reasons why for my subscribers the opening call even though we are long positions we have gone to start once again to go short and one of the reasons is look look at this is take the dial for instance you see this technique that I developed a long time ago it's called Chapwave inside track repellent zone yes you can do a single line but what I found is if you can do this double line like a little mini channel and a channel is two parallel lines a mini channel you will find that it's very informative to be able to look at the chart just a very visual yes there's a mathematical side but it's a visual action that I really enjoy following whether it's the future is whatever it is and this particular instance look how as the price has been bumping up against what I call this inside track repellent zone once we're above it that's why there's a green line once you're above the green line that could turn into a support or a propellant line but in meantime at this stage if you look at the number of times it's hit this pink line let's just take it from end of January beginning of February it's one two three four five not that six seven eight nine not that ten eleven twelve twelve times out of let's say 17 sessions or 16 sessions well what's really important about this is that the nine-period moving average is still really positive above the 14 so you have to use other techniques if you're thinking that this market is going to go down what I said to subscribers this morning is while the estimation the Dow traded higher most of the session that's yesterday the S&P was a little weaker and then I put in right here I put in that very very important I put missing for serious cell modes are too big consecutive Dow minus 300 and the S&P minus 50s sessions you need that and extant market bad news we don't have that bad news yet so all we can do is look at various technical indicators and at least I always like to say that it's important to try your best to be certainly doesn't happen all the time but you want to attempt at least to be a master of your positions and not just let the market tell you what it's going to do it's going to do that in any case so when the market has the potential to pull back you don't want to say oh my god oh my god you want to be in control of that see if there is some kind of a pullback here I want to at least have my foot in the door to say hey and hopefully the door doesn't slam on the foot but that's the only thing you can do because if you're looking at the technicals the daily technicals the MACD is being weak it's it's it's just turn from positive to negative for a brief moment it was positive announced back to negative that's the MACD but that's just one indicator the stochastic still above 80% to 83 the unbalanced volume is still very strong a little overboard but strong so all we can do is look at some techniques in this particular instance I'm using this particular technique and the fact that in my wave count at least for now I'm calling it an E there's a chance that you could have a something else it could be an alternate count a slash B but I have no reason to do that so that's the down look the same thing here with the S&P except for one thing that's very important in the S&P I've got this as a peak F like the Dow if I was to give it an alternate count it would also be a B and therefore both of these have the potential to spiral higher but look at the angle of the shall we've inside tracking the daily chart it is much sharper than the Dow that says from 5067 we'll be all right now to break above even just at this moment not even tomorrow because the rising trendline you'd have to see this above one 5042 so that just says if you're wrong Mr. Chapman about thinking that there's some kind of a at least a short term digestive phase you'll know very quickly because you'll break above 511 11.06 very quickly and it'll probably become quite powerful if it does that hasn't done it yet now I need to emphasize the reason why I'm talking about short term positions is because the weekly chart like this is only a leg B in the in the weekly chart that means let's just do this in a mathematical way it's actually arithmetic it doesn't even get into maths man when we're looking at is we're in leg B if 511 11.06 is not taken out it has to be 07 to take it out this week that means we've got a peak B that means we've got this week as a peak B next week possibly as a leg C the following week as a peak C the next week as a leg D and then the following week it will be a peak D that's if everything goes up and down up and down in the channel wave with higher highs and then higher low higher higher highs and then low highs alright that takes us to the middle to the third week or so of March so at this particular point that is very strong yes it is a leg D in the monthly chart and these where we've got to be a little careful so this is a work in progress it's a good the QQ count I want to just take a moment here to discuss this in terms of possibilities that's all in this particular instance you've got a QQ a GSAC alternate count at 440.59 for the all-time high that was three days ago three sessions ago on the 23rd of Feb and we're looking at it now at 437.36 up 80 cents it's just refusing to give away anything so this is a work that says a gap up and within three days after the gap bar it is still near the high of the gap bar high that is impressive action the day is young so far that's impressive action it will be not it'll be unimpressive if there's a close below 433.71 which is the low of the 22nd four sessions ago if it takes out 440.59 goes to 440.60 that'll be the missing leg D remember GSAC very often in fact a lot of the time goes to a D it's in leg C in the weekly chart now let me go to the SMH's and as I go to the SMH's we've got an alternate count you've got the same thing that happened all-time high I forgot to put the price in well oops can I see a 213.36 on the 23rd let's just change that to 13.36 13.36 we're trading right now to 10.73 not a big deal up 38 cents but it is a leg E and that's interesting because it's way more advanced and a very clear E it could be an alternate counting you could even be an instant restart because that peak D within two sessions made a new both recovery and an all-time high so I'm calling this a leg E for now in the weekly chart leg C in the monthly the semiconductors are not giving our way anything I'll be back in a moment down 148 this is down just a doll not even a doll I'll be right back bezel Chapman Tiger technicians out if you're looking for potential trading setups in the stock market then rocket equities and options report is a newsletter you should try Tommy O'Brien delivers options and equity trades when the markets present them using a combination of fundamentals and technicals sign up for rocket equities and options report today with a 30 day money back guarantee so you have nothing to risk for all the details and to start your subscription today visit the front page of TFNN.com TFNN educating investors everything in the universe is governed by the Fibonacci sequence this mathematical principle is responsible for everything from the most aesthetically pleasing artwork to patterns in the stock market to stay on top of stock patterns you can take advantage of sign up for the Fibonacci 24 7 newsletter at TFNN.com when you subscribe you'll get a weekly report from veteran day trader Larry Pezzavento on stocks you need to pay attention to and you can trust Larry's analysis after all he's got 45 years experience as a day trader Larry will also provide daily charts videos and data on the key markets that he's tracking expect notifications from Larry on market movement you need to act on at any time first-time subscribers also get a 30-day money back guarantee if you're not satisfied let us know and you'll get a full refund within 30 days of signing up subscribe to the Fibonacci 24 7 newsletter today TFNN.com educating investors gold report as a precious metal gold is still king it continues to hold the most effective safe haven and hedging properties across the global major trading hubs of the London OTC market the US futures market and the Shanghai gold exchange the gold report Tom O'Brien publishes his weekly gold report every Monday morning for subscribers consisting of coverage of the XAU, HUI, GDX, the dollar, bonds, the South African Rand as well as 25 different mining equities with specific buy-sell recommendations the gold report new subscribers get a 30-day money back guarantee so you have nothing to risk subscribe to Tom O'Brien's gold report newsletter now at TFNN.com TFNN has launched the Tiger's Den hosted at Discord TFNN has been educating traders for more than 20 years with live programming hosted by a variety of professional traders during market hours the Tiger's Den available to all Tigers and Tigris' for just one dollar for the year there's no cash or added costs when you join our community of traders sign up today and become a part of this educational community of traders just visit the front page of TFNN.com toll free at 1-877-927-6648 internationally at<PHONE_NUMBER> Thank you for talking about the IWM the Russell 2000 but let me just show you this because it came up as a question I want to get to it right away because it's called Sterling Infrastructure Inc. I haven't looked up exactly what they do obviously infrastructure stuff but I didn't know in what part of the infrastructure so it's it's right here at 107.26 must have had good earnings up 17.31 at 107.11 no round numbers I have to tell you there were even more round numbers today but let's see so the question is what waveform is it this should be A and B but I always say you know I want to go back to the starting point of the lowest low and count the most obvious lowest low and count the count the waves from there and that's and that's down at about about October of 2022 around about the 21 area just over 20 and we go peak A just all you do is you label them A next peak is B next peak is C right there get a D these were other things can happen your objective in the chat wave is to get you to a bi-signal upgraded to a bi-mode which says you should go to at least a D so that's a D should I put it down arrow well normally I put it down arrow there's a sharp two bars below the 14-period moving average but that night period never never turned pink so it's a kind of a tentative thing I'm doing this historically I'm trying to treat as if I didn't know it was going to go on but since it's a I'm looking at it at about 41 and the price now is a hundred and seven point two three I have a feeling that it did go to higher highs so what I tend to do is I'm doing it historically I try to not to open it out so I can see exactly what's going on I say on a purely technical basis because the MACD went down stochastic went down sharp your unbalanced volume even though the nine-period didn't go a negative I would normally put it down arrow there and then put an up arrow here because the stochastic did go to over 80% and cheat this as a new bi-signal and then we'll see what happens so this is new A that's B that's I think a C by a penny let me just see here 59.43 and 59.48 nope we've made it slightly higher so then this is C and then that's your D so now we don't know what's going on there's an E so now because it was so quickly go from a D to an E a peak D and then a fractionally higher E I watch this really closely I always put a plus sign over the D and if it goes to an E I make that pink and this is an instant restart well took within two bars it went to a higher high so I always do this is just a kind of a reference point that I've had for not years but decades I always circle and just say they could be an instant restart unless you go sharply below the 14-period moving average especially after that E and it goes below the trough that was there for D and it did that so that has to give me a little warning to say yeah that's probably a down arrow and now we've yep go down down there's your Chathamay Roman candle very long wick big red body tiny little wick at the top rule being if it goes for a shorter period that's a weekly charge so let's call it for a day below 61 the midpoint of the leg that we're looking at right here 62 if it goes but holes below 62 watch out because it retests the low but if it goes back into the body or if it closes above the high of this candle without going to that midpoint and it does it for two out of three bars that's really important but it needs to do it quickly well what it did is it went just tiny candles tiny candle tiny get a big candle and then another big candle above it so this gives me a sense that there's a chance and I only always put it in as a chance that this trough be right here is a start of a new move so what I tend to do oops lowercase on the way down trough a I tend to put in a plus sign or right there so yes your plus and that says alright is that an a yep I'm after calling an a I could have an alternate count f slash e because it didn't take the start take out the starting point of this last by mode right there so that goes a and if it goes higher it will be a leg be and low and bold and that's it and that's what I was going to do before I thought I just wanted to show you but you can't be too quick you have to I always do a little like a double check and if I did the same just to say I did the same thing in the in the monthly chart that's a b and I still don't know what they do d e still walking along the 9-speed moving average f g and then it pulls back now comes the question is this a brand new a b c d and now we back to where we were before that this is where you can have a pullback now look at went to an e so this is a fantastic chart so sterling it see if John told me what it is sterling sterling sterling sterling now I'll type it in right here I'd like to know what they did because in this infrastructure it's really important that's part of what has really been a huge factor if you look at the pave I'll go to it in a moment but this is first see sterling in in for oh I forgot to I will do it slowly get rid of the caps sterling in for a truck does okay oh e infrastructure transportation and building solutions now I looked at the stock yesterday I write it down it was exactly like this it did infrastructure it was part of IBD oh it was it was an elite and the head buildings anyway so this infrastructure solutions provides advanced large-scale site development service of a data centers beneficiary commerce distribution centers warehousing energy and more okay so this is they're in the sweet spot right now so I'm gonna show what the question is oh now I'm going to go back and see the question I'll find it okay how about hello Basil hello John um if you have a moment can you look at strl I would appreciate it I've been buying in the base and finally it broke out but now has a big gap in the price sometimes they feel other times they gap and go I'm thinking the long base could mean a gap and go but who knows thank you guys I really appreciate your help so John this is what I'd be looking at the power of this move from the low of 96.25 today when it was tutoring along at 89 yesterday so far this is a very powerful and a very big move look it's gone from 95 to 113 so that's uh that's almost 20 points about 17 points to the upside oh there's more because it's up 1746 right now so it was where I should be able to do the math right 95 to 113 is uh so that's 205 is 10 yeah so that's right okay yeah so that's up 1715 from yesterday but what we are looking at is what does it do next so let's just look at the 120-minute chart there are a lot of stocks that have done this and it's not the actual move up the gap that's important it's what it does intraday with that gap and then the following three or four sessions so you can see this is a really big move it's a b I believe it's a c I think it's a d probably a d in the 120-minute chart but you can see that the MACD is already overboard the stochastic is flat at 90 that's fantastic the on balance is a little bit overboard so I'll tell you what I would do so you're in this and your real question I think right now is um you would like your what what what will happen next should you be taking some money off should you hold should you actually be adding I'll be back in a moment and we'll talk about it and as we go to the break I'm just gonna put in pave which is the infrastructure ETF currencies commodities and bond markets are as important as ever right now with how they're driving the volatility in equity markets across the globe which is why it's a great time to try out teddy keg stats tiger forex report teddy keg stat breaks down the forex markets every monday using his 30 plus years of experience as a trading veteran of futures forex stocks and options teddy releases his weekly tiger forex report every monday morning with coverage of all the major currency pairs including the dollar index the euro dollar pound dollar dollar swiss dollar yen as well as many more and he also has weekly coverage of the crude oil market and the 30-year t bonds as they both influence forex markets tremendously when you sign up for the tiger forex report you also gain instant access to teddy 60-minute webinar archive he just hosted forex strategies and fundamentals what is behind the tiger forex report for all the details and to start your 30-day tiger forex report subscription today visit the front page of tfnn.com tfnn educating investors you might think that if you want to be successful at trading in the stock market you're going to need a crystal ball after all it's impossible to predict the future right like any endeavor in life before you decide it's impossible get some advice from the experts you might find that it's not so impossible after all for daily market overviews that give you direction on the key indices selective stocks and commodities subscribe to the opening call newsletter at tfnn.com the opening call newsletter is written by basal chapman creator of the trading methodology known as the chapman wave the chapman wave up down sequence gives you an edge in identifying price turns finding the peaks and valleys and stock prices get the opening call 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money back guarantee on all new premium newsletter subscriptions and services you have absolutely nothing to risk so why wait tune in live to tiger tv and transform your trading journey because when you know better you invest better join us and experience the difference today tfnn educating investors don't forget you can listen to tfnn live on your mobile device 24 hours per day go to tfnn.com then hit watch tiger tv that's tfnn.com then hit watch tiger tv everything about the chart is just fabulous but it also says based on the unbalanced volume that we could be having a little bit of a pullback this is the daily chart it's the same thing on the weekly but the weekly chart is even stronger i love when you get a lot of these candles nice good strong candles like it's walking like a little worm walking up a tree branch that's good because it says when it has a sudden pullback maybe it can fill two or three bars but then it's liable to go back higher and it is a leg c and that's a leg d so let's just go back to our strl this is sterling and sterling has something different sterling has just gapped up and not only did it gap it it's almost like it had a two process one was it looks to me like it was definitely the kind of the kind of chart you see with a short squeeze but you also see buying because if it gaps up and at 95 56 and the day before it was toodling along at 89 um at every level in the and let me just look at this on a one minute chart and i'll tell you what i'm looking at here so strl yeah you see this is the thing that it happened so suddenly that he within one minute it goes from 95 to 107 so then then the people say oh let me see it's got to pull back i want to cover i want to cover and it pulls back just a little bit for one bar one minute and then it holds steady and the next minute it goes higher and you can i'm sure yep look yes the on balance one look at the volume expanded and look at the volume sort of crept down as it was pulling back people said thank goodness and then all of a sudden moves higher now you see the on balance one goes even higher so i the way i'm looking at it right now automatically you know what i'm going to say to you i'm going to say the normal thing is if at one day you're looking at it at one level and the very next day you get a gift of just out of the blue yes it must be earnings it must be something like earnings right so you get a gift of 20 percent take something off remember arm we were discussing this so exactly a week ago no it was less than a week ago oh yeah we were looking at it two weeks ago and i said ah you've got to take some money off even though my monthly chart says this thing should go much higher the weekly chart says getting all overboard in the daily so it makes a round number 165 164 pulls back to the 115th trading right now at 139 and low and behold it's trading so in the midpoint of the high and the most recent low but taking a little money off is that a problem and what i also said was you could take a little money off and plan to put that money back on as a trading position lower down well let's just go back to your stl why i want you to take a moment about it but for this is that i had a number of questions with people who said these big gaps after the earnings what should we do if we own the stock and first of all you've got to patch yourself from the back for the patience that you've had because someone that took a little while to do that and then once they broke out it was really important and i'm going to say to you john take a little money off just this is you're asking me what i'm thinking i'm telling you what i'm thinking take a little money off and you because it's so strong and it's only a new leg b in the in the weekly chart yeah it's an e in the monthly but that could even be an instant restart all the technicals there are fantastic but overbought not the stochastic that's an 83 percent that's that's good but not overboard and i would just say take a little money off now if you want to buy and hold this should also be part of your program but then you say i have if i'm taking off at 107 64 right now even if it pulls back five percent from where i am right now i've got a five percent gift i can put that money back and say i got an extra five percent that i'm thinking of it in terms of logic and now you have to not think of it as a chart pattern just what what am i doing okay so within that i love the chart i love the fact that it's in leg b in the weekly chart yeah i could give there's no alternate account that's the way i'm looking at it right now you'll have to really crash to to 75 for me to say oh oh this is all over but i i don't see it right i do see some kind of filling of the gap but look how many points you've got 107 down to today's low of 95 25 so it's a gift treated as a gift but it's also a plan because you had a plan that you held it hold it long and you like it i still like it i'm not only i'm only saying to you if you take something off it's something that you want to take off but because it's so strong you could still keep your core position and then whatever you take off you can even put back as two split positions one and you name the number you say if it hits there you just actually put it in as that's what i'm going to put my split position that i took off no position that i took off one part of it goes in and another number and the other one just sits there saying at some point there'll be another opportunity but i would be i'd be keeping a good position in this okay next thing is so there's a long kind of a statement here by g-man in the den and he's talking about hmy and this is harm harmony hmy is south africa i believe so yeah south african stark harmony gold in fact one of the mines that where i i left the most beautiful city in the world c-point cape town right on the coast my we actually had a view of robin island which unfortunately then became the the prison for mandela i i'd already i was not in the country at that time but as a child that's what i used to look at used to be swimming races from c-point to robins robin island and it's r o bb e and um anyway so harmony is so that we move from there to this old mining town near johannesburg whereas a teenager and i went to school there but then i left as soon as i could um so harmony is trading at five sixty up two cents so you see this little patent here it's already gone peak a and he's given a really good he's got just a good analysis of what he's looking at and he says you know do your own work but this is a stock that he's interested in but i wanted to show you something here you see this peak d very quick peak a b c and then a d after it already made a d with this cup formation uh sorry g over there now what i'm looking at is this this cluster formation has the potential to form an arch that's the dreaded h where it pulls down sharply and then it makes a little rally and then fails it either an a or a b this is already gone to a c but very small little nominal rallies so you can see the nine pre-moving average is still negative the mag d is starting to improve a little bit but it's still negative so castings improved a little bit it's a 25 on balance volumes very weak and the weekly chart made a peak e with a very very long legged doji closed in the middle long legged doji comes back down and it hasn't taken out the left side low of early january but it's not acting well and look the nine period moving average is very close to turning down so this is going to be an very crucial two three bars there's two three weeks i'm including this week and it's already at a leg d in the weekly chart in the monthly chart having uh not taken out the high of 2020 which is up in the seven sixties so this is a work in progress and i think you were absolutely correct by saying unless gold actually starts to rally strongly it might stall but this is one that you like so this is in the category that i also look at and i say all right a south african gold mine they are a little different there was one that i looked at yesterday i was asked questions about which is hl which is hacklo which is not a south african company and look it's also got this kind of sideways rectangle as as the tech is astonishing proof i think it's worth talking about this in a moment the dowels down 144 the sb is now down just a fraction i'm looking at this is a rollover that's already unfolding and i might be wrong but we'll see what happens by the end of the day the gold report as a precious metal gold is still king it continues to hold the most effective safe haven and hedging properties across the global major trading hubs of the london otc market the us futures market and the shanghai gold exchange the gold report tom obrien publishes his weekly gold report every monday morning for subscribers consisting of coverage of the xAU hui gdx the dollar bonds the south african rand as well as 25 different mining equities with specific buy sell recommendations the gold report new subscribers get a 30-day money back guarantee so you have nothing to risk subscribe to tom obrien's gold report newsletter now at tfnn.com are you ready to take your trading to the next level introducing tom obrien's award-winning newsletter market insights your key to successful active trading tom obrien renowned for his expertise in the financial markets has designed market insights to be your daily guide to profitable trades tom publishes his daily market insights newsletter every market day before the market open along with updates when warranted stay ahead of the game with tom's real-time analysis and trade recommendations delivered straight to your inbox whether you're a season trader or just starting out market insights provides the edge you need to navigate the markets with confidence ready to join the ranks of successful traders head over to tfnn.com and subscribe to market insights today don't miss out on this opportunity to supercharge your trading results market insights comes with a 30-day money back guarantee for all new subscribers so you have nothing to risk don't miss out on this opportunity to revolutionize your trading game head over to tfnn.com right now to join thousands of traders who have already experienced the power of tom obrien's award-winning newsletter market insights firsthand tfnn educating investors biotech is booming but for how long whether you think the biotech bull has room to run or has run its course trade la bu or la bd directions daily s and p biotech three times bull and bear etfs visit direction investments dot com slash biotech today an investor should consider the investment objectives risks charges and expenses of the direction shares carefully before investing the prospectus and summary prospectus contain this and other information about direction shares to obtain prospectus or summary prospectus please contact direction shares at eight six six four seven six seven the prospectus or summary prospectus should be read carefully before investing an investment in the funds is subject to risk including the possible loss of principal the funds are designed to be utilized only by sophisticated investors such as traders and active investors distributor four side fund services llc this program is brought to you by vista gold traded on the nyse american and tsx under the symbol vgz i think we'll be back to h and y because i don't think it's gonna do anything just yet in the other gold stocks because i want to go to jerry in the back bay jerry how are you good i i turned 89 uh two days ago happy happy birthday i was just thinking you know i just i said to ellen uh my engineer madusa i said oh i haven't heard from jerry for a long time and i think it's g not j jerry um and from the back bay um how are you doing i'm still up uh putting a report out every day in a weekend strategy report that's fabulous that is great congratulations so you'd like to look at what uh m p w m p w is in fact medical m is in mary p is in peter w is in welter and that's that's medical properties a trouble company that i think may have potential and it's got 34 short position okay and this is medical properties right great exactly okay so i what i wanted to say to you is as i looked at it i mean there are so many of these stocks a lot in the medical field a lot in the biotech field that if you look back to maybe december maybe even january but more like december jan have huge gaps to the downside so my first of all on a purely visual basis i'm not going to do a wave counter anything like that i'm going to just say the way it fills this gap is going to be really important and it needs time maybe just maybe yeah so yeah yeah i mean i think i think you've got your you've you've got a really good you can hear it in the background i don't know if you can get rid of that because otherwise i'm hearing the echo um oh yeah i oh i'm sorry yeah i have you on in the background it's gone yeah okay good so you were saying what well i i i they've been a very troubled company but they have a lot of assets and it's only a part of them that are and and i they're on the way of selling those assets so everybody bailed out of it the stock used to sell for like 15 and i think oh it's actually up in the 20s 34 percent sure 34 percent short interest yeah so there's nothing uh it has the potential to do a nice squeeze so there are there are three things i'm looking at immediately one is um the gap from late december that where it was trading in the fives the next thing is trading in the fours and it actually goes down to the twos how that is filled over a period and here i'm giving it months i'm i'm saying how it gets filled by the fourth week of march into the second week of april is going to be really informative it's either speed because it does it right now just at this particular point the shorts should start to get a little bit nervous so how it can get in how it can get into the fives it might be spare i'm talking to you about months but it could turn out to be days or weeks because it has that potential the magnate is strong stochastics at 81 percent on balance from start to rally the relative strength is running in the daily the the weekly charts we can forget about the weekly charts because it has to be the daily that tells you what the weekly charts are doing so let's just do this it has tremendous support in the three seventies right now it's at four twelve three seventies i'd even say it could go it could close maybe two days in the 360s but in real it has to get very quickly back into the upper threes into the lower fours that's number one number so number one is is the gap the speed with with which the gap is filled if it's going to be filled is really important because once it's filled if it can hold above 450 and once it's in the fives if it can hold about 450 for about two to three weeks i think that weekly chart has the potential to scream all the way into the fives that's the way i'd look at it but on a very short term basis this this move up today seven percent up 28 cents at four twelve you want it's a leg d you want to see how it closes because it could store if it stalls for a moment every time it stalls there's a bit there's a bout of relief for the for the bears and for those shorts but if it keeps going up and it look it only it comes pulls back for two days third date or is already on its way every time it has a peak so that's what you what you want now is the break to be as brief as possible so you get your peak d but immediately you must break out maybe even make an instant restart so that within three days it goes to a higher high above d so i like i like what you're doing i like what you're saying monthly chart i don't even want to discuss it as a stock that goes from 24 down to the twos has a little bit has a little bit of a problem but this could be reparation it could be repairing the damage very much very helpful uh perspective thank you very much we got a great gift from you and hopefully uh we can walk out without our snow boots on for a longer time right right yeah good talking to you take care good luck keep yourself well jerry will speak to you said so folks i wanted to just go back bye bye i wanted to show you just this h so hmy we had one chart pattern look hmy that's harmony hl and all of them are trying to find some kind of a base in this case 540 is really your base that it has to hold um hl is heckler mining for those who asked me about i don't see anything yet but it's absolutely basing and 333 is your absolute level to watch gdx is doing the same thing look it almost looks the same thing making low lows and low highs then it goes sideways for a while and everyone gets really bullish but look at this that dollar every time it takes a breather it touches the 200 period moving average and that becomes like a like a like a hot wire it just it touches it and whoops it moves away from it so if this becomes a magnet at 103 you said at 80 hundred feet 85 that's one thing but if the dollar starts to trade on a daily basis below 103 30 in the next few days finally you'll see some some some of the gold stocks move but here's the other thing and that's what i was trying to talk about for the last couple of weeks now not weeks months i've been saying that is a chance that bitcoin is taking away and if you look at hood robin hood look robin who's making another high today it's at 1582 i think that the action and we're really talking about at this particular point gold is not the place that people are going to for infrastructure for secular moves it's or cyclical moves it's just stuck why because the trading is going into the bitcoin and you can see it through robin hood trading i mean after the low of 681 back in june of 22 is taken until now to just more than double it's taken a long time so i think that's where the action is so i'm not so i'm saying to you you can have a look asa is the one that i always look at it's kind of a benchmark for me as a four or five south african gold stocks and it's the same thing making lower lows it'll sometime have a balance and then it just gives it back it needs to be sustained move asa is called asa golden precious metals trading in 1354 just kind of for me it's a benchmark coming from south africa i watch it closely and that's this way i'm looking at so i hope i'll help you there just in terms of i agree with you that it's a stock there when it goes harmony when it really moves it moves fantastically it needs to have lift off so we've got a break coming up and i had a couple of questions let's just see um in video as we go to the break in video i had a seven earlier on it had a 797 round number low that was taken out of 771 shading down at 787 i'll be back are you ready to take charge of your financial future tfnn is your gateway to the world of trading and investing whether 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kind of a little weaker today does very weak and what we've got are at least the portfolio the majority of the stocks in the portfolio i actually do very nicely this is now it's at 10 o'clock 11 o'clock in the morning uh eastern time by two o'clock by four o'clock you never know what's going to happen but i want you to be able to see that and i like that aspect and one of them is in fact uh and almost an experiment in the sense to say this is we've never been in this particular issue i've followed it for years is this going to move and it's so far it's done very nicely so i think that's the way you have to look at the market don't be afraid of the market do your work assess it and then go and look the xlf i wanted to show you he's made a p e making a p e today is this going to be more of a pullback i don't know but i'm pleased that it's still up there we help you all time