It's a presentation of TFNN. The Tom O'Brien Show is produced every business day. Tom takes your phone calls toll-free at 1-877-927-6648. Internationally at<PHONE_NUMBER>. Hey, Robert, how you doing, man? Yes, good, thank you for taking my call. I wanted to let you know that I've been a subscriber for a couple years, just different members of your team, and I really enjoy it. But really the reason I'm calling is to express my sincerest gratitude for you, providing that information yesterday on the Small Business Scrantz. I'm a small business owner, primary breadwinner for my family, and if I can get that money, it's gonna really lead a lot to my family, so. That's awesome. Thank you for taking the time to do that. No, well, listen, man, we appreciate you growling and prowling with us. Now, Tom O'Brien. Oh, welcome, folks. This is Tom O'Brien of TFNN. We go five days a week. We go seven hours a day. We go 24 hours a day on the internet at TFNN.com. Always remember, folks, whatever you think about, you bring about whatever. You focus on growth. Hope everyone's having a great day, safe day. Let's make it a great night, folks. Cultivate wisdom. You don't need to accumulate knowledge to become wise. Anyone can become wise. When you become wise, you respect your body, you respect your mind, and you respect your soul. When you become wise, your heart is controlled by your, life is controlled by your heart, not your head. My good wise, let's take a look at it out here. We have the Dow Industries right now at 530. We get the NASDAQ up 462. You get the S&Ps up 97. You're gonna gain inside the NASDAQ folks of 3% inside the S&Ps 2.1, inside the Dow Industries 1.5. Gold, gold contract up $6.40 trade at 17.85 an ounce. We have Silver up 25 cents, $22.48 an ounce. Lights we crude up 242, $71.92 a barrel notes and bonds. The 10-year down 11 ticks trade in 130.10. The 30-year off 21 at 161.28. Yeah, the 10-year yield in 1.48 right now. So you're still way low, this 10 as well as the 30s pulling back with lighter volume, and that's saying it still wants higher price. King dollar, King dollar was up 46 ticks trade now at 96.374, euros at 112, yens at 113.5, and the British pound is trading out at 132 to one at US dollar. Our phone number's<PHONE_NUMBER>. Give us a call folks. Wanna know what's going on in your world and the world of the S&Ps? Let's take a look at them. What do we have out here? Well, there's no doubt you have a gain in price in a monster way. That being said, you have a contraction of volume and that is huge. We have a two-way market here, man. That's the real bottom line. What you do have is this. So it's a picture. The spy's up $9.46, we take a look at this. Friday you were down to $4.48, you were at $4.68. That's saying that it's gonna go after the high. You're already into the lows of the high, which is the $4.6735. That being said, the contraction in volume is huge, man. So my take is that this is still under consolidation and the lower end of this is, I'm not saying the lower end is from last Wednesday also. I'm going back to where October 25th was, which is the 436 inside of the spy. We take a look at the NDX100. It's the same setup in the NDX. You're going higher with a monster contraction of volume out here. So what we have is this. Is that you're up $11.13 on the queues, done 39 million shares. Yesterday was light volume, did 67 million. Pretty amazing actually. That being said, the differential here is that I suspect the queues will get to the lows of the high. The lows of the high at $399.19. And we'll see whether we can basically do it. Let's just inside the NDX100. I just want to look at Apple for a second because Apple has, okay, so that's just the test of the highs, interesting. Okay, so this would have, so check this out. So Apple folks has such a large weighting structure and everything. I think it's 8.2% and the S&P is 11.1% in the NASDAQ. There's some monster numbers out here. That being said, if you take a look at Apple right now, Apple's just tested a tie and it's going to be a rejection of higher price with lighter volume. We've done 84 million shares. The number to keep your eye on is 170.30. This is going to get really interesting then because if you've never seen something like this meaning that these little subtle moves, okay, mean something, you're going to be really surprised because they do mean something. Yeah, they will see where it shakes out. That's the bottom line. Gold, gold contract out here. The bottom line is that we got, let's see, active contract. Okay, so the gold contract has 108,000 contracts, 120,000 contracts traded out here. It did reject lower price at 1772 here at 1785. Bottom line, you're going to the top of the range that it's been in and we'll see whether it can get any juice out here tomorrow. What it has certainly done is it came back into its strength from November, the middle of November and rejected lower price and good old King Dollar. If we take a look at King Dollar out here, what we have with King Dollar, King Dollar right now couldn't handle price out here. We got to 96,592 right now. You have a couple hundred ticks below that. You're at 96,368, but it's just, King Dollar's been trading sideways for about seven or eight days right now. Oil, we take a look at the oil market out here. Oil caught a bid once again. Oil's up 244 you're trading at 71,94 and that has, let's see, 442,000 contracts. That's not bad contract volume. Not great, but it's not bad. Yeah, so ice on oil folks is up at 77. I expect we're going to go to 77. The real question's going to be, is it going to continue with some juice? Because what oil does have, oil has an acceleration of volume out here today. That's how that baby has. Let's see. Okay, these volumes are at highs, our low volumes, doesn't that make sense at the case that the bulls to blow those tops out? Okay, so the question, because of the low volume that we have at highs already, wouldn't it make sense that you could blow those highs out? Yeah, it does make that sense, but this is, okay, so let me answer this, not, I was going to say two separate ways, not two separate ways. What it is is this. So if we look at the spy, last time we went up on the spy, we hit a high with 72 million. Now that's not a lot of volume and that's what the tiger's talking about, okay? So would it make sense that you can blow that high away? Yes, it would make sense that you can go test it. I don't expect it's going to get blown away. And I particularly don't expect it's going to get blown away because keep your eye on Apple. Because if Apple fails out here today, bottom line, you might even hear me change by the end by five or four that this would be it and would open down again tomorrow, which would be really weird, trust me, on a move like this. I don't think we're going to, I think because we're on Tuesday in the marketplace, I expect you can get a little bit higher. We'll try to test that high, but this type of contraction of volume is really something you want to wrap your head around. If Apple, as I said, if Apple fails out here today, that's saying quite a bit. That's saying that there's no more new buyers out here. You've tested a high, you've tested with lighter volume, you're going to back down. If Apple backs down, the whole deal's going to back down. And Nvidia, Nvidia is the same way. And if you take a look at Nvidia, what you're going to see with Nvidia, actually Nvidia has volume behind it. Nvidia is in better shape than Apple right now. Nvidia is a 48 million shares trader, which is a decent volume. That's the real bottom line, we're at 3, 20, 87. Share it there, folks, coming back. Our phone number is<PHONE_NUMBER>, the industry is up 521, NASDAQ up 436, S&Ps up 92, coming right back. Are you looking for a way to consistently add winning trades to your portfolio? Tom O'Brien is here to help. Tom O'Brien has been successfully trading markets for over 30 years. A frequent contributor to TD Ameritrade Network and CNBC, Tom O'Brien founded TFNN over 20 years ago to help educate investors just like you. Tom's Daily Market Newsletter, Market Insights, is published every morning when the market's open to give you the competitive informational edge you need to succeed.  And are geared to deliver comprehensive strategies for a successful portfolio. Get Tom O'Brien's newsletter, Market Insights today. 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You have to practice, sure, but you also need excellent instruction from experts. At TFNN, you'll get advice and guidance from the authority in technical market analysis, and it's not just dry, tedious text either. TFNN airs live financial content streamed live on TFNN.com and TFNN's YouTube channel with Tiger TV, live every market day from 8.30 a.m. to 4.00 p.m. Eastern for free. Each host is an experienced trader and gives their take on the market while taking calls and questions live from around the world. From the moment the market opens until the closing bell sounds, Tiger TV has eight different shows with expert hosts to help you make the right moves with your money. Watch online at TFNN.com or on TFNN's YouTube channel and become the investor you were born to be, TFNN, educating investors. Call now. Toll free at 1-877-927-6648, internationally at<PHONE_NUMBER>. Welcome back, folks, to Dow. Dow Industries right now trading up four, no, 517. You get the NASDAQ up 444, S&Ps are up 93. Let's get over to our man, Mr. Basil Chapman, as we do each and every Tuesday at 20 past the hour. And don't forget, folks, Basil has an outstanding newsletter. You can check it out right on the front page of TFNN. It's the opening call. It's very easy to get the Basil's newsletter, folks.  You're gonna see the opening call. Whoop, it'd be nice if I put TFNN and not TGFN, TFNN.  You can get the opening call for one month. There it is. You can get it for one month for $149. You can get it for six months for 6.95, which is a savings of $199 or 22%. You can get it for one year, folks, for 11.95, which is a savings of $593 or 33%. Now, they all come, folks, with a huge amount of education that Basil has on his page, okay? So when you get this, you're gonna get about 10 archives, really understand how the market moves. If you enjoy it, bottom line, you may pay for it. If you don't enjoy it in 30 days, bottom line, you get your money back. So check it out, front page of TFNN, you go to the newsletters to the opening call right on the left-hand side. Basil Chapman, what's going on? Nothing new here, just a very quiet market. Yeah. Going to the end of the year, you know, nothing happening. I'm telling you, it's pretty wild. There's no doubt, man. So when we spoke last, we were looking at 900 point moves in the Dow with the futures intraday. I mean, that, that was big. You can see on this side, the left side, you have the daily chart. Look at those big red candles. And then what happened is, I use a couple of techniques and I use them over and over again because what I believe very strongly is that it doesn't matter what particular techniques anybody uses, as long as you're consistent and you use them the same way over and over, you don't modulate them to form, fit whatever it is. You just, that's the way it is and that's the way you use it. So I like to talk about little candles, sometimes little doji. I have just three or four candles that are really important to me in the candlestick charting method, but I also have some moving averages. And you can see we spoke about this, that little doji candle all time high on the Dow on the 8th of November at 36,565. That's when we actually started a short position that very day within 40 points. We didn't keep it for too long, unfortunately, but they're the patterns. We look at that H pattern, the Dow broke down, started to move down. And then it accelerated and where did it stop? And that to me is really the most important thing, right on the 200 period moving average. And I'll show you right now, there's orange line right here, well in different programs, it comes out different colors, but it's orange, there's thick line right here. And I said, and when I spoke to you last week, we still had a couple of days to go. And as the market tumbled down the length of the Dow moves, in other words, the length of the red candles accelerated, got bigger and bigger. And then we closed, remember that Friday, it looked like it was gonna be a great day, the market moving up, and then all of a sudden it turned around and it closed at the low. And what happened is I like to use that 200 period moving average, but I use it with many other things. So that to me was when I did my homework on Friday, I said, you know what? Friday night I said, this is gonna be very interesting. And as I went over the market on the Saturday, did my overview of the video for my subscribers, I said, this is gonna be very interesting because it's held very nicely. And there's a chance on Monday that we're gonna actually, we're already holding the long, core long position from the low, starting at the lows of last March, March 2020. And we've been trading up and down, we're using the diamonds and the DOG, which is the inverse of the Dow. But at this particular point, I said, we might go along. So we did actually go along. Unfortunately, we got just stopped out and the very next day, the market moved even higher. So we wanted to add to our long position. That one just worked very briefly. Unfortunately, it was taken out. However, looking at the candle, I've got a pattern that I call it's right here. It's got a declining cone formation. In other words, as the price is, where did that go? Whoops, I've done something wrong. I can't show it right now. Oh, there it is. As the price is coming down from a particular high, it makes lower highs and much lower lows. And the most important thing about this is, I'm doing some funny things over here. I'm changing all the rules. Okay, there it is. So this particular pattern has, you can see it, it has this leg to the upside. Just call it one big leg. Like I call it, this is the axe handle. I call it the falling axe. It's like a trend line that goes up and then you make lower highs and much lower lows. There you are, lower highs and much lower lows. Then all of a sudden, it tries to form a base of support. And if it takes out the declining upper trend line, that can be very positive and it can take you sometimes all the way to the top. But most importantly, what you want to, at that particular point, what I want to look for is, has the MACD turned around and cross positive? It hasn't yet. It's close, but it hasn't yet. It's made a fantastic turn because of the strength of the doubt. Number two is, this is stochastic, which I usually like to see go under 15% preferably single digits, turning sharply, higher, but it's nice. It's up at 34%. That's not great, but it's nice. But the on-balance volume is lagging, the little blue line is lagging a little bit. And if you can see in the weekly chart, we did very nicely here. We went right to what I call the Chapman Wave inside track, pro-palant zone, this green and pink rising, it was narrow, a channel, and then it went to the top. So a lot of things here are already perfect for a take-off pattern, but we don't have synchronicity with the QQQs, that's the index 100. And at this particular point, we're actually still short, we're still short in actually making money via the instrument we've got. It's kind of stalled right here. And I suspect that what I've been speaking to you about is a rotational correction. I suspect that that's going to go on for quite a bit over the December month. And one of the reasons why I say that is the tech sector had just a spectacular run to the upside and it deserves some kind of a breather. And that's all it is so far, I mean going from four or eight down to 378, that's not much of a correction, but it is the start of a correction. So unless something really fantastic happens between now and this coming Friday for the weekly candle to change, I suspect that what we're looking at is there are a lot, I'm sure if you've gone through charts, you've looked and said, I can't believe that. And you can name your NDX 100 stock, NASDAQ 100. Some of them have dropped 20, 30, 40, even 50% that doc you sign. So this is not really telling you everything that's going on. And that's the reason why I think that there's still enough sectors within the NASDAQ 100 that can kind of put a cap on the upside. That's what I'm saying. And the roll over into the Dow type stocks I think is very important. And that's really, since I think the summer of 2010, I've been saying to you, it's very interesting that we've had rotational corrections because it allows one sector that's overboard to take a breather while another sector that's kind of oversold to take its place. And I think that's kind of what we're looking at right now. And so what we've done for my subscribers is we've got to back to individual stocks to see if we can get the stocks that are acting the best and just try to hold on to those. So this is a very important moment that we're looking at. And I'll just say a Dow above $36,000 would be very impressive, I must say. And at this point, we're going to watch it really close. And folks, very easy guys, newsletter just come over to TFNN. Pals, you have a great one, safe one. We look forward to showing them all. Thank you, Tom, you too. Thank you. Stay right there, folks. Come right back. Are you having fun trading the markets but having trouble finding like-minded individuals to discuss your trading and investment ideas with? Become an Apex creditor in the trading market and join the Tiger's Den Trading Room only at tfnn.com. The Tiger's Den is an exclusive trading room where successful traders from around the world come to exchange trades and ideas. Join the den and surround yourself with these sharpest minds in the trading world. Subscribers to the Tiger's Den are also the first to have their questions answered live on air and can privately chat with our TFNN hosts live during their shows. Interact with other Tigers and Tigers' as they share trading ideas, news analysis, and discuss the market action all trading day. Subscribe to the Tiger's Den risk-free with our 30-day money-back guarantee and become part of the TFNN Trading Community, TFNN. Educating investors. You could be making money off the stock market and if you're already making money off the stock market, you could be making a lot more. Check out TFNN and Tiger TV and get expert investing advice to give you the power to control your financial future. Go to tfnn.com and find the newsletter for you. Whether you're into trading gold, metals, futures, currencies, or options, you'll get advice and analysis to help you seriously get ahead. 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The Art of Timing the Trade Chart is designed to help you when scouring the markets for stocks just beginning to form the trading patterns that many investors spend days, weeks, or even months searching to find. And right now, we're offering licenses available at only $79 a month. We are so confident that you're gonna love this new charting software that will even give you a 30-day unconditional money-back guarantee. Don't miss out on this incredible new piece of software. Get your copy of the Art of Timing the Trade Charts today by visiting TFNN.com. This segment is brought to you by Think or Swim. For more information, just click the Think or Swim banner on the front page of TFNN.com. Welcome back, folks. Dow Industries right now at 453, you get the NASDAQ 421, S&Ps up 86. And let's take a look at some of the higher volume equities out here. Well, here, first off, there was a question about the SPI, and isn't this the same type of setup that was in May, and then we've been up 20% since May? So this is always a great question, man. There's no doubt, because yeah, can you go higher with light volume? Yeah, you can. But let me just show you this for a second. So here's May, let me see what May is, that's September. What is that, that's just so high, that's May. Yeah, okay, so here's May. So we pull this, let's look at this. Okay, so we pull this in, you're gonna see that we made a high in the SPI at 67 million.  You built some cars, and then you get basically up there again with only 54. So that correlation, yes, exactly what you're saying out there, Dan, is that yeah, we did the same thing, we're up 20%. That being said, when you take a look at the how we came down here, you can see, there's no doubt we came down in May in volume. First you had 116 million, then you went 134. In this particular case, first we came down 112, then you had 148, then you had 133, then you had 137, bottom line, I don't think it's the same. That's the real bottom line. So what you're gonna hear off me any second, which is really a trip, and I said to you at the beginning of the program, I might change this whole deal about coming into the highs, this might be it, man. The way I'm looking at this right now, this sells off just a little bit more, and you get a half hour to do this, this is gonna be a failure. The queues are going against 78 million. You've done 43, and it's backing off. That's telling me that this would be a one day wonder. Then that's, if that's what it is, that's what does happen in these beer markets, man. The bottom line is you get monster runs, okay? And then boom, and it's over. Let's go to Alan and Denver. Hey, Alvin, hey Alvin, what's going on, brother? I'm doing fine, Tom. What I'm calling about is yesterday on your program, you had this government program that pays off your mortgage for five months. Is that valid? Yes, okay, so what I talked about yesterday is this. Let me see if I can pull this thing up. So there's two different, it depends, this is what it depends on, Alvin. So you're in Colorado, right? So what you wanna find out is this, okay? I would call, you're in Denver, are you in Denver? Yes. Okay, so I would call the city of Denver the housing department, okay? And ask them specifically what type of housing assistance programs they have. Let me just explain, I'll explain this again, folks, as to what's going on. So you have two separate bills that had housing assistance, or more than that, but there's two bills right now. One was done before, about a year and a half ago, that money's still there. The last one that was done was like four months ago, okay? So what it is is this. I can tell you what's to the state of Florida and what's in New York, because I read about the one in New York yesterday. And the one in New York went like this. The one in New York went, and this is not only just for rent money, it's also for mortgage money. If you make 150% or less than the medium pay in the state of New York, and that would mean that you have to make $175, you have to make $120,000. And $120,000 and less than the state of New York, they have a mortgage program. Bottom line is that they'll pay, they'll help you pay the bank your mortgage. And so I believe, Alvin, what it is that every state is different. So what I would do first is just call the city and ask them, okay? Oh, okay. And you know, when I get off the air, I'll Google it too. I mean, but that's what I would start there. I'm sure they're gonna have something, okay? I just, it's up to the states what they have, but I know this, this is what ends up happening, folks. If they don't use the money, that money specifically is for rental and mortgage assistance. If they don't use it, they gotta send it back to the Fed.  And if you have a stat there, that's where you wanna start, Alvin, and you know, see how it works out. Okay, I'll do that. Okay, man, you have a great one and a safe one. Thanks, Tom. Thank you. And folks, no matter where in the country, this is worth it to find out, because the story that I told yesterday is that the wheel, I had only had one renter that went for assistance, okay? And everyone should have went for assistance, okay? So picture, the renter paid there, she paid the whole time. She was never behind in a rent. The bottom line is that she got five months paid. And what does end up happening is this, is that when it happens, they will send the check to the landlord or they send it to the bank. That's how that works, okay? But listen, go do the work, okay? Because it's a lot of money. It's a huge amount of money. When, in this particular case, that was like, I think it was 10,500.  The tenant basically just got, so it is out there and take advantage of it. Because the way that those programs work is that they, it goes to the states. So the way it works, first the money goes to the state, then the states send it to the cities, and then all the cities basically have to distribute it, okay? Let's go take a look at some of the higher volume.  It looks like you're gonna be a big correction, and then all of a sudden, guess what?  So we'll see how this shakes out. Like today, okay, so let's pitch it today. We're at 46709. If this spy closes at 46656, that's a failure on price and volume. And if that does that, with the aspect of the NDX 100, let's look at this. And you look at the NDX, the NDX is gonna fail anyway. The NDX can't make the high. So when you can't make a swing point, they just missed it. They missed it by a point, by two points actually. Yeah, you get the big contraction happening. And then let's go into the futures for a second. And if you haven't been around these markets for a long time, we haven't seen bear market bounces in a long time. And they're pretty intense. And the way that they normally shake out is basically like this, and then what ends up happening, like right now we get the NQs of 422. If at the close, that NQ is only up like 375 or 350, it's over. That's how this thing shakes out. We'll see how this baby shakes out. The bottom line, my take folks, is that the highs are in, you're coming down, you're in a consolidation. That's all she wrote for me. Stay right there folks, come right back. Dow industrial is up 407, Nasdaq up 414, S&P's up 23. Up 83, we're coming right back. Are you in the market for buying or selling real estate in the Bay Area, including the surrounding St. Petersburg, Tampa, and Clearwater markets? Tiger Real Estate LLC is a firm that has extensive experience in the Tampa Bay Area. 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Visit DirectionInvestments.com slash Biotech today. An investor should consider the investment objectives, risks, charges, and expenses of the direction chairs carefully before investing, the Prospectus and Summary Prospectus contain this and other information about direction chairs. To obtain a Prospectus or Summary Prospectus, please contact Direction Shares at<PHONE_NUMBER>. 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. At 1-877-927-6648, internationally. At<PHONE_NUMBER>. I'm O'Brien. Welcome back folks, Doc. Now investors right now for 19, you get the NASDAQ 417, S&Ps are up 85. Inside of, well let's go inside the MDX 100 first. I think it's Pinduodul, who's the big winner right here. It is. So Pinduodul is up 12 and a half percent. You get Moderna up seven and a half. They got smoked yesterday and Vidya's up seven. Taken away from the Comcast is down five. You get Charter off three and a half. DocuSign is down 2.7 and Peloton is off 2.2. Inside the Dow Industrial. So that's gonna be, let's see who we got. Well, I know Apple's gonna be up to this for sure. So we take a look at the point movers out here. You got Goldman Sachs putting, how's Apple off? Okay, so Goldman Sachs putting 61 positive points. Salesforce 48, Microsoft 47, American Express 38 and Apple only 31. Yeah, so Taken away from Merck's the only, well Merck's down to putting seven minus points, 3M putting four, Verizon putting two. Other than that, everything is up pretty well. Now let's go over to this Treasury market. So Treasury's out here today, so look at this. So you're backing down folks, okay? And we're backing down with only 1 million contracts, okay? That is not even close. The Treasury market, when it likes to go higher or lower, does 2 million shares, 2 million contracts. The last time we were up here, well yeah, look at this. Last week it did 3.2 million contracts and it broke topside November 30th. Then on the 3rd, we still did 2 million contracts hitting that 131. Now you're at 106,000, I mean, no, 1.06 million. And you're backing against 3.2, then what's higher price? If we go take a look at the TLT, let's see how this baby's setting up. That broke topside. So that's backing down. Yesterday we, well, let's see. Friday we went topside with 34 million. Yes, they go sideways with 30 million. Today you're down with 17. What's higher price? Which is just a mindblower actually. There's no doubt that when we start talking interest rate structures, you know, the easiest thing is just to stay with the charts. When you see a chart that basically breaks high with volume, it is what it is, no matter what we're all thinking. This silver, let's go take a look at silver. So silver looks to me like you're finally getting off this low. So the silver contract went to the lower end of its consolidation. The last low in silver was out here at, well, the low that was, the end of the consolidation is 2146, that was the low that was established out here in September. And Friday we hit 2205. Now you've done 36,000 contracts and you're going sideways to slightly higher. This is gonna be about what the good old dollar is doing as well as what this market is doing in general because what we had out here, when the market was backing down, you had, well, some of the gold and silver equities, the only ones at all that were actually going higher. ExxonMobil, let's go take a look at some of the, actually, let's go to Halliburton first. Halliburton caught a bid yesterday, finished with continuing out here today, here up 72 cents, but this has a contraction of volume too. Yeah, this is coming up to ice, that's all it's doing, man. This is a heads up. Yeah, this should have been able to get more juice. You're up 73 cents, it's only $23 stock, but to me it still should have been up more. Let me go see what ExxonMobil's doing out here. Exxon's giving it up. Exxon got to 63, it's only trading 62 right now, we get a contraction of volume.  Yeah, right at the 50% retracement. And then, so when you do a 50% retracement, bottom line folks is that, that's a normal retracement in the marketplace, it really does not give you a lot of clueless to okay, which way is this baby going to go? The E-minis, let's go take a look at the E-minis, they're giving it up, they have 20 points off their eyes. You're going to see, yep, you just had volume come into them, okay one second, here we go. There's the cellar, and look at this, this is interesting too, because it means there's a buyer there too, because we went from, so the cell down was eight points, but that being said, when you see this expansion of volume, 471,000 contracts, the bulls and bears are fighting up here. This thing right now, even before the close, this would be a mind blow, but yeah, this can go to 46.56, and if it goes to 46.56 around there, the bottom line is that we'll be lower tomorrow, who knows what will happen overnight. This is pretty wild actually, really wild, because NQ, let me pull the NQs up here for a second. This is the last thing I was expecting, I'll tell you that when I got on the air. Yeah, so it's, the NASDAQ's not as bad, but you can see the NASDAQ did, it did, well, the NASDAQ didn't go up as high either, when it's spiked, so the NASDAQ 16,167, it's not gonna go down to another 100 points, I don't think so, we'll see. Yeah, we get a question about the Anglo Ashanti, why it's down so much today. I was looking at this man, I mean, I own this, and I know exactly what you're saying. What's happening here, which is really interesting too, I'm finding the Tigers and Tigers that own this. This is straight the same way as Goldfields is, and I'm trying to figure out really all day, because Anglo Ashanti, as well as Goldfields, okay, were going up when no one else was going up. Now they're pulling back, and they've been pulling back all day, man, and I've been pulling this up, well, when I say pulling it up, I'm talking about, I'm pulling up block trades, and there's not a lot of block trades, so I wish I had the answer for you as to why it's down so much, and then, no, there is no news. You know, let's worry some, you know, in here somewhat, is that gap, man, that gap on the Anglo Ashanti is $19.13, and it's probably going to get filled. That's what it's probably trying to do. We go over to Goldfields, and we take a look at Goldfields. You have the same setup. Goldfields down to $0.50 for $10 stock, and that looks like it's also going to go after the gap. There's two gaps on Goldfields. The good, there was actually three gaps. Look at this, there was three gap play, one, two, three, I should have realized that. Okay, so this is how three gap play works. Whatever way the gaps start, folks, that is where the market wants to go. So if we take a look at Goldfields here, what you're going to see is you're going to see the first gap that was established out here on the 9th of November, second gap was at the 10th of November, 11th of November, and then the last one was at the 29th. These are going to get filled. That's how this is shaken out. That'd be pretty intense. Once, if that's what ends up happening, then what you do is you go right back top side. That's how the three gap plays work. The gap, gap, gap, they come back and fill them and then take off top side once again. Harmony's doing the same thing. Yeah, someone's unloading some of these. You know, well, they've been a good run. So that's the other side of it, you know? That's, you know, that's what it comes down to, you know? But what you do have inside both GFI as well as Anglo-Chante, there's still ABC structures on the way up that haven't finished yet. Stay right there, folks, come right back. Now, Dow Industries right now, up 370 Nasdaq's, up 391. And S&P's, I must have the wrong one up. Stay right there, folks, come right back. Sharpening your skills as an investor is like getting better at playing a musical instrument. You have to practice, sure, but you also need excellent instruction from experts. At TFNN, you'll get advice and guidance from the authority and technical market analysis. And it's not just dry, tedious text either. 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The investment is for four years, paying 7% per year or $7,000 per a $100,000 invested. Your investment is secured by high-value real estate in St. Petersburg, Florida. Your investment can be anywhere from 100,000 to 500,000. You wanna make 1,000 per year on $100,000 invested or 7,000 per year on a secured Target First Mortgage. The Target First Mortgage Program may be just the program for you. The Target First Mortgage Program pays 7% per year, paid monthly. For more information, you can call<PHONE_NUMBER>. That's<PHONE_NUMBER>. 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. Welcome back, folks to Dow.  Let's go see what Apple's doing out here. So Apple, is it gonna make it? Oh man, look at the trip, this is 70, it's gonna make it. Oh my God, I love it. Okay, so, you know what's cool about this, folks? Okay, you got to see my whole thought process here for the last 45 minutes. Now, what I mean by that is that I started with Apple, to me that if Apple failed at this 170-30, that would make zero sense, okay? So it doesn't look like it's going to. That's what got me going on the aspect that if that happens, then the NASDAQ could fail, okay, on the S&Ps. What's so unusual about it today is that, it just started the week and we had two good days. So, it's close call, but I suspect that what you're gonna see here is you'll see one more day. So get ready for tomorrow, folks. That's how this thing looks to me. But, you know, you're gonna make another charge tomorrow. You'll get to the top, like the Qs will probably get the 401 or somewhere around there, okay? You'll get above them, if you close below them, once you get above them, it has lighter volume, that's gonna be where you can pull the switch. Meaning, whether you're selling short or moving some product out, all of the above. Because we certainly are gonna have a big contraction of volume. There's no doubt about that. We'll see where these, it looks to me like, what you also have out here, as we're going through the day, you have the yen that is getting stronger. You have the dollar that's getting weaker, and that's telling me that we're gonna have a nice get-go in the metals market tomorrow and the next day. That's how this thing is shaking out. You know, the dollar has been going sideways. It certainly hasn't been going down. It's been going up more than anything. Last week and a half, it was just one sideways. We made it to 96,500 today, and then it gave it up. Oh, do you remember, folks? The bank and Clio hide out the bull can rent you over, and thank God, there's always another trade. Health happens in prosperity. Have a great night, have a safe night. Come back and visit Tommy tomorrow morning. Kicks us off, nine o'clock in the morning, great show. Well, we'll get him, folks.


Welcome, everybody, to yet another OpenShift Commons briefing. We have Amir Sharif with us from Aparato. I'm sure I'm saying it wrong. Every time I say it, I say a different variation on it. But we're really pleased to have them here. They have a unique cloud-native security offering and a unique perspective on implementing security for cloud-native applications and systems. So, I'm going to let Amir introduce himself. The format for this session, as always, is you can ask questions in the chat. We'll have a live chat after the session in the Q&A. And with that, I'll let Amir take it up away. And I'm looking forward to learning. Thank you, Diane. And thank you for giving a chance to talk at the OpenShift Commons briefing. As Diane said, my name is Amir Sharif. I'm the co-founder of Aparato. And Aparato is a cloud-native security company. Basically, our focus is to look at distributed workloads across any cloud on any infrastructure. And OpenShift is a big focus for us. In this talk, I will discuss the challenges that we're facing with going cloud-native, the various challenges, and I'm going to actually highlight a customer's environment and talk about the problems that we have encountered there. And that's going to be common across many other customers. And then talk about how we approach cloud-native security. So with that, let me get started and let me paint the scene. And this slide basically describes the transition that we're making from servers to a serverless world with VMs and containers being waypoints along the way. The point is that as we went from servers to VMs, the number of endpoints on the network increased tenfold or by an order of magnitude. And by their nature, VMs are more transient than servers. Therefore, the change frequency also went up by an order of magnitude. Now, we are getting to inside a container's world. And again, we're seeing at least an order of magnitude increase the number of endpoints and the networks because the number of containers that can fit inside a VM or inside a server and correspondingly, the change frequency again is going up by an order of magnitude. And projecting the future, we can see the same thing happening in the serverless world. Now, by saying serverless, all we're saying is that we're abstracting away containers and what containers are doing is abstracting away the OS, whether they're running on a VM or a bare metal server and a VM is abstracting away the server. But by going up the stack, nothing's actually disappearing except we're abstracting away complexity. That abstraction allows us to have more working units in the network and have a more dynamic environment. Now, here's the rub. When we are focusing on security from a networking perspective, we are solving a quadratic problem. We're solving an n-squared problem.  And the number of connections that you can make from every point to every point is 10. That's basically n-squared minus n over 2. So you're solving an n-squared problem whenever you're trying to calculate the number of connections between points. And as n gets larger, as we're showing here across this x-axis, the calculation becomes harder and harder, especially as you have to do it more frequently because the change frequency is going up. So what we are doing in the lower range of the market with servers and VMs is where we give them beautiful names and effectively they're pets. They're not nearly as dear as Diane's dog that she's adopting right now. But we do give them names like Fred and Joe. We had a very hands-on manual approach. So if somebody wanted to have an isolated network inside an enterprise, they would file a ticket. That ticket would go to some IT administrator or network administrator somewhere and he would create a subnet. He would track those on spreadsheet and he would give it to the developer. And that subnet probably would live on for a very long time, if not ever. Going to the cattle business where containers are coming and going and we really don't care. And if you've seen any kind of Docker labels that containers get, they are cattle. What we ought to do is have an automated and scalable infrastructure for security. That's basically platform-independent. You want it to work on Cloud Service Provider A and Cloud Service Provider B. You want to work on a hybrid cloud. You want to work on your private data center. And ideally it should be part of DevOps pipeline, meaning that the security layer should be invisible to the developer. But have the ability to ingest the application intent and know what it's trying to do. So when the cattle goes wild, when the application goes wild, it provides the right level of security for it. So let's talk about the cloud-native application, the way we're building cattle. This is when people talk about what a cloud-native application is. This is the beautiful, pristine picture that they think about. You know, you have some services talking to each other and some load balancer maybe, and there is some data back in. In fact, what the application tends to look like is something like this. The application typically has to be deployed in multiple availability zones. You have to do some sort of database replication. The way you do this is so the application is resilient to failures in a cloud. So if one availability zone goes away, you have other availability zones available to take care of it. You usually have to interface with some sort of legacy infrastructure, some partner network, some external stuff. And the picture that you're seeing here is actually from a current customer that we're working with who is running OpenShift to orchestrate their workloads in three different availability zones and GCP. Now, as I mentioned, the number of endpoints inside the network is getting higher. So the freckles that you see inside the cloud does represent the containers that are coming and going. And what this customer has done, and this pattern has been repeated across multiple customers, what they're doing in order to provide security for this type of environment is the following. It's a mess, basically. They're overlaying an SDN, either some open-source variant of SDN to stitch together different VPCs. They have virtual appliances running in. They're access control lists. They're doing Natting. They're doing KVMs in order to control traffic between the availability zones. They're firewalls across both sides, and there are firewall rules that they have to maintain. And they establish a VPN tunnel with gateways and so forth and so on. And take this into account with the number of endpoints that are coming in and going on the network with the numerous endpoints, and it's really difficult for them to maintain coherence, coherence security, the security policy across all these availability zones. And the system is ultimately very complex, fragile. And because of this complexity and fragile fragility, things do break. And as such, their environment was basically insecure. And what you're seeing on the screen is reminiscent of what Target had done. Target is not a dump company. They just had a very complex and fragile and fundamentally insecure environment that allowed somebody to get in and exfiltrate a lot of data and harm a lot of consumers. That's the problem. Now, the question is, why do we have such a complexity inside the cloud? And the answer is that basically we're trying to solve four different types of problems. There's segmentation that we have to do. There's encryption. There's enforcement. There's secrets management. These are the types of problems we're trying to solve in order to provide security in a cloud. And when you look at any particular solution, they typically address two of these sectors, maybe three. And what you have is sort of a set of disaggregated tools as a previous slide shows that run all over the place and there's no established best practices. So it's up to the customer to kind of cobble stuff together and good luck to you as you go through. Now, the question is, why do we have this? Again, peeling the onion on why we have this complexity. What we get into is this is the way the internet is designed. The internet was designed to connect all points to everything. That's an HR TCP traffic. That's everything supposed to be discoverable and open network. Great, it works. But as the number of nodes gets larger, I talked about the N squared problem. As the number of nodes gets larger, the exceptions that you have to create for preventing certain nodes to talk to each other. That's the isolation that you do. It becomes more and more difficult. So in a world where everything's supposed to talk to each other and you're trying to prevent bad actions, the number of exceptions keeps getting exponentially higher. So what we ultimately want is a white security model where we know what the application intent is. We know what we should do in order or what how the application should behave out in a while. And to do that, you need to have basically three core concepts. One is identity. What is my application doing? That's effectively part of the intent. Know what component of the application is. Second, we need to have policy. And the policy is the application intent and organizational intent. What should the application be doing in the wild as it is supposed to be doing? And what is the organizational posture for security as dedicated by corporate guidelines or by regulatory requirements? And third, you have to have some sort of enforcement. So let me talk about how Appareto solves the identity problem and then talk about how we approach policy and enforcement. So basically, think about your distributed application running an open shift in a cloud somewhere. There's a service that you have that's trying to access some resource. When that service comes up, there is a YAML file that's associated with the entire application. And that YAML file provides some metadata as to what that service is. But we can also correlate what open shift is doing to what system V is doing and say, OK, and derive certain information like who is running this application? Where is it running? Is it running on Amazon East or Amazon West, for example? What's being run? Is it Redis? Is it Ubuntu? Is it CentOS? And what's being run in this particular application? The metadata is what comes from the YAML file, as I mentioned, and additional key value pairs. And in terms of reputation, that comes from image scanners that provide the vulnerabilities of that particular service that's come up. All that we call a trust profile. Think of it as a dynamic three-dimensional FICO score for a particular service that's come up. And at this point, because we have noticed that the services come up and it's talking to certain resources because that's when that described in the application, the YAML file, we spray this trust profile across everything. So anything that comes up that's related to that application that we want to secure now has an identity. And I'll get into the mechanics of that a little bit deeper in a presentation. Now that we have the identity, the next question is how do we allow the service to connect to a particular resource? What is our security posture and how does a policy address that? So let me talk about the way we approach policy and why that's actually a fairly unique and intuitive way of approaching cloud-native security. Our inspiration for policy was the English language where you have a sentence that has a subject, a verb, and an object. And in our case, the verbs are pretty simple. There are things like allow, read, encrypt, drop, connect, so forth and so on. And finite set of very well-defined verbs that we work with. And in terms of subjects and objects, basically we are looking at the key value of prayers that define the trust profile. And in order to define policy for the subject and the object, the thing that does the action and the thing that receives the action, what we do is do set operations and the key value of prayers. So to illustrate this, if I want to have a very permissive policy, I say a sentence like environment equals production can connect to environment equals production. So anything with that tag ends equals prod can now talk to itself. That's a permissive policy. If I want to get more restrictive, I would write a policy like my payroll application production can talk with confidential data and production as long as my connection is encrypted. That becomes my policy. And as you can see that with these set operations, I have further narrowed the scope of the subject and the object. And I can continually narrow down the scope as much as I want down to a level of a definite subject and a definite object. The singular item that I'm concerned about, if that's what my policy should be about. Or I can operate at a much higher level than say anything with the following characteristics must behave in a certain way. So when you look at our platform, what apparatus does, you know, between a service and a process, we do authentication, we do authorization. Because we're proxy between the notes, we can transparently encrypted communication between the notes. And we also do monitoring and enforcement. The reason we can do monitoring is we know what's trying to connect to what and we can map it. And enforcement is basically the application of the policy. So effectively, we're doing application segment, secretion, secrets management, encryption and real time monitoring and enforcement and taking us back to this slide. What we have tried to do is provide a holistic solution that addresses the security needs of cloud native application as orchestrated by something like OpenShift in a very unified way and a very simple way. So in a slide, what we do basically is take any application, any distributed application and any infrastructure and you may have services and external services and files basically. And we put a protective layer around each one that defines what can connect to what and encrypt, optionally encrypt the communication between the notes. Simple, scalable, secure, that's what we do. So, at this point, I want to get a little bit deeper into the mechanisms of how we do things. So that you have some appreciation of why this is unique and why it radically simplifies the world. And I'll talk about some use cases that we handle specifically with OpenShift or other Kubernetes clusters. So, imagine having two different clusters with micros, you know, these could be pods with microservices up. There's a source and a destination that's coming up. And there's a set of state information that each side has. So on the top, we have, you know, the production environment that the application is web and my image is engine X. Those are my key value pairs. At the bottom, I have other attributes application type equals production and instances of database, for instance. Now, you see my policy down the bottom. The policy says accept the connection from application equals web in a production environment. So that's what the policy will allow us to do. So on top, we do have a web application in a production environment. And one of these guys tries to attempt a note or a note in a cluster below. So what he does is sends a request that request goes out as a TCP send packet. So the send packet, when it goes out at this point, we intercept it and we provide the trust profile as payload on the send packet. So now you have a cryptographically signed identity associated with the send packet that's going out. As such, we're not using the IP address as the identity. We're actually using a much more sophisticated set of attributes associated with the workload that becomes the identity. Then the TCP packet goes off. At this point, we can provide transparent encryption basically without the application knowing that is talking in an encrypted language. We can provide that encryption and then do crypt it on the far side. Simple, easy. And off we go. So the application isn't clear that the rest of the world cannot read it and that makes a developer's job a lot easier. Now on the far side, we ask two questions. Number one is when the send packet's coming, is it signed? Does it have an identity piece to it? If it's no, we drop the packet and we don't allow the communication to begin. If it is signed, then we ask the question, is there a policy that allows the sender to talk to the receiver? And if the answer is no, again, we drop the packet and the connection is never established. If the answer is yes, then we validate based on policy and we allow the send packet to go forward. It hits a target. The target at this point responds with a symmetric action and then you have a mutually established trust between the sender and the receiver. They both know who they are and that can happen regardless of where they are in a network. So they can be on the same subnet, they can be on the same VLAN or they can be on two different clouds across the internet. The point is that we actually do not use IP as a proxy for identity. We actually use a much richer set of attributes that allows us to apply security policy and a much more granular level. So that's at a high level what the mechanism looks like. I should also add that when you do, the key difference is that when you do add additional instances, this is a linear operation. It's not a quadratic operation because all we care about is the identity. We don't have to calculate the entire route and exceptions and firewall rules and so forth. So we are operating in 01 space or linear space. Let's talk about a few use cases with OpenShift and how we can handle them. So imagine having an OpenShift cluster running. And the first use case is OpenShift providing its native network policies to Apparedo and Apparedo rendering them as services. So basically a fully compatible model. So what OpenShift does is provide the network policies to Apparedo. What Apparedo returns is policy that makes that environment secure. And at this point we actually haven't added much value. We've just been fully compatible and provided Apparedo security based on network policies. So we're in complete sync. Now at the next level is we can actually augment network securities with additional capabilities that Apparedo has using the key value pair matching in the policy language that we have. So network policies go in and Apparedo at this point provides a super set of security policies that go above what OpenShift can do or Kubernetes can do to provide a much richer context. And the third, and this gets more interesting, there is egress network policy support. And as you probably know, is that the pods in OpenShift have only ingress policies, meaning that they reject things that are not supposed to talk to them, but there's no policing into what the pod is doing for communicating with the outside world. What Apparedo allows you to do is also define ingress policies, egress, rather egress policies. When a pod inside an OpenShift cluster wants to communicate to the outside world, that communication can also be policed. It's not just rejecting incoming traffic, it's making sure that when the pod is communicating out to the world, it's paired with a certain set of rules. And building on top of that is we do provide support for external services. So let's say that you have this pod, what Apparedo allows the pod to do, or allow you to do is to provide sanctioned access to various resources. Let's say that you're doing a Google Maps mashup. In that case, Google Maps would be an external resource, and it can say that this particular pod or this particular cluster has access to this particular external service. And again, that's a value add that we can provide to Kubernetes distributions. Now taking a step back, I think the key value prop that we can provide for Kubernetes clusters is multi-availability zone security, similar to the first slide that I provided. And imagine you have a private data center somewhere and you're running OpenShift on AWS, and you have ELBs and Natting and so forth with a bunch of firewalls across. Now if you are trying to provide communication or application security across this environment, it's highly complex and basically it's going to be mind-boggling and very difficult to maintain. And partly it's because you are speaking different languages inside your data center and what the cloud service provider is doing. With Apparedo, basically you're defining a policy. You're saying that that particular pod running inside my data center can talk to another particular pod running in AWS, and as long as the two can ping each other, the connection is established. That's it. You don't have to worry about providing firewall rules. You don't have to worry about losing state as you go through load balancers, so forth and so on. It's a simple statement that says A can talk to be regardless of location because IP address does not matter to us and that security services provide it regardless of where the application is residing. So going back to this big messy picture that I provided up front, and this is a common architecture that we see with all this complexity, what we do is reduce this complexity to a much simpler picture where you can rip out a lot of the of the infrastructure and go to effectively a zero trust network and assume that everything's on the internet and the applications are then prohibited from communicating in or out unless your policy allows them. And that then allows you to take full advantage of a flexible platform like OpenShift and focus on application delivery instead of maintaining a state. So looking, stepping back, basically what you're getting is a reduced attack surface, a verifiable security posture and you can actually go back and forth at any time. And because it can rip out a lot of the complexity within the network, you will get a lower cost. They can happen on any cloud and we do scale pretty well. I don't want to state the numbers. Let's talk about the numbers are quite, quite nice. So looking at our architecture, you know, we do talk about identity, we have analytics and management and we have multiple plug will enforcers. We have open source part of our enforcement layer that's useful by itself. The project is called trirem. If you go to trirem.io, you will be able to see the code downloaded play with it. It's, I think we just hit more than 50,000 downloads today, actually, as of last month. And the solution within itself is useful for developers to provide connectivity rules and not have to worry about any sort of infrastructure complexity but you now have a broader picture of what is it that we do and all that is exposed in a UI like this. And I would encourage everybody to actually go and sign up for a free account. That's free account is console.apparito.com and then connect your OpenShift workload to it. Let us ingest the network policies and then experiment with with how we write policies, go through our use cases and our tutorials and see how much simpler and more secure application can be with in a cloud-native environment, especially when it's orchestrated with a platform like OpenShift. And with that, we come to the end of the presentation. Diane, I think we did it and half an hour or less, I talked pretty fast. So let me know if you have any questions. That's actually perfect because in terms of people watching the videos and stuff, about a half an hour is about all they'll tolerate in terms of watching a YouTube video and this will get up on the YouTube channel shortly after we finish today. I had a quick question about overhead and any sort of performance issues when you inject something or wrap something around your application or into OpenShift. Can you talk a little bit about that? Sure. That's an excellent question. So when we do provide identity and do a policy lookup between the two nodes in this transaction that I described, we do increase latency. That latency is currently on the order of three milliseconds. So it's pretty fast and it's once per connection. So once the TCP session is established, basically it can happen at wire rate if there's no encryptions is going on. And if it's encrypted, we encrypt the entire data path and then we dump it to TCP and the performance at that point is actually slightly better than an SSL, but I would say it's on par with SSL. So at the startup, there is a hit of about three milliseconds and they'll get further enhanced, but at runtime it's at wire rate or on par with SSL. That's actually pretty impressive. So tell me a little bit about your roadmap. What are the other things that you think are coming or you're going to bring, I know you've open sourced, I'm telling you these things. We're going to work on some of my pronunciation of these things. I apologize for that, but 50,000 downloads is pretty impressive. And so that's, and that's great. And it's not that I'm going to tell you to open source your entire project though. Sometimes I might push you that way. But tell me what's coming next for you guys here. Where are you going with this? So we do live in a brownfield world and a lot of the open shift clusters that that are deployed do talk with legacy applications. So a lot of our effort is to make sure that there's an operational model that works within the enterprise, let's say operational model that allows brand new applications to talk with older applications and have a consistent security policy. I don't want to get into a lot of details in that, but the work is to make sure that we take cloud native workloads and make them well suited for the enterprise and more acceptable. And so the enterprise thing is very important. I know for everybody in the Kubernetes and the open shift space as well. So this, and I apologize if I missed this when you were talking before. This sounds like it's a hosted solution or is this something that people can use on site on their private clouds? I did not mention it and you did not miss it, miss it. But basically there are two models. One model as applied by a slide where I put the triad, that is a hosted model where you run your workload wherever you want to run. And then Forcer that runs on your operating system then dials back to Apparedo and provides a security service. And then you can manage the security service on apparedo.com. That's model number one. What we see happening is people start with a hosted solution and because of various concerns, they want to have their own hosted solution, meaning that they take apparedo and they install it in their own private cloud. Where would that maybe it may be on the hosted environment on GCP or AWS or it may be inside their private data center. And at that point, it's exactly the same operational model, except we do not get the customer data. The customer has their own has their own analytics engine. And they generally feel more secure in that environment. Well, it's great that you have both options available to so I'm looking and I'm I'm thinking you've done a pretty good job covering off all the bases I really some of the the intro slides were really great from from my perspective I like four pillars of security perspective a lot and I really do think you did a great job of explaining the the pets and cattles in the beginning to so I'm definitely I've seen it done a lot of different ways and I think you did an awesome job of explaining the security challenges there. So thank you very much. And is there anything else you'd like to add and maybe go back to your very first slide because that's the one that had your email address if people want to get a hold of you. And there and we'll leave it at that. And I will try and get this up with all the links and a link to the the open source project as well. So thanks again Amir for joining us today and we look forward to hearing more from you in the future as well so Thanks, I appreciate the opportunity have a good day and good luck with the dog adoption good for you for doing that. Yes, Monty is coming soon.


Hello friends how are we doing? If you've been watching a lot of my videos that you'll be like Megan how are you home? I'm not home yet but I'm pre-filming this because I knew I wanted to get this video up this month so I'm pre-filming it for you and it is a little murder mystery recommendation video so a couple years ago I did my favorite murder mystery books all time right? I did that video and a lot of you ask me to do it again they're like oh please tell us your favorite murder mysteries. I don't actually think that list has changed that much I probably won't do it again for like another two years or so but what I do now is every year I tell you the 10 best murder mysteries I have read in like the past year basically and that's what we're doing today but a year since I last did this video for the first time and we're doing it again so these are the 10 best murder mysteries I've read in the past year I gotta be honest with you out of this 10 there's only two five stars so do you think I deserve better than that? Yes the rest of like four stars maybe there's one 3.5 in here but they're all books I would recommend I think you guys will really enjoy but I have become too picky it's gotten out of hand I have become too picky with murder mysteries I just I expect so much so not only have I only read in the past year 10 murder mysteries I would really recommend like only two of them are five stars that's kind of sad right guys where are the more I just need murder mysteries I just need more please give me more murder mystery wrecks I need them I need like 20 murder mystery wrecks I need them I need them oh also I should say the first seven are absolutely murder mysteries they are murder mysteries murder mysteries absolutely then we've got three at the bottom that are like pushing it a bit that maybe blend some genres that may be a reference murder mysteries but aren't quite one you'll see you'll see but the first seven are absolute murder mysteries and on the last three are like you know skirting the lines of it the first two ones I read when I read the top 10 nominees for the Goodreads mystery thriller category there were other mysteries I would recommend from that video for example All The Sinner's Bleed by SA Cosby but it's not a murder mystery it's not a murder mystery so it's not making a list you're not making a list if you're a missing person mystery you're not making a list unless you're a murder mystery so the first one is Vera Wang's Uncensored Advice and Murderers by Jesse Satanto this one is really fun I really did enjoy this it's a very lovely little murder mystery that I think pretty much you'd be hard pressed to not enjoy so we're following Vera Wang who is the self-proclaimed tea expert she runs a little tea shop and she goes downstairs one morning and finds a dead body on the floor of her tea shop maybe the dead body has like a key piece of evidence in its hand and she's like thank you she's like I'm really a better job of solving this than the police the police suck ass so I'm gonna investigate this myself and it's a story of her investigating this murder and meeting people who are related to the sky people from his life but then she becomes kind of like a found family with them and I really enjoyed this this is definitely verging more on like the cosy mystery side I would say and you know since the Thursday medical which maybe we'll be getting into in a second there has been this massive trend of other murder mysteries following elderly characters investigating mysteries there's another one of these on this list as well there's like they're everywhere it just annoys me that it's only murder mysteries I'd love older characters in fantasy or whatever but it just hasn't bled outside it's just like they apparently they just think oh the only love old people when they're solving murder mysteries that's not the case anyways but I thought the writing this was lovely it felt very comforting it felt very cozy I really didn't enjoy it and this was my first time with this author I know this is the author of like Dal A for aunties or I can even get the titles right for weddings something to do for weddings for aunties in a wedding there we go I always get it wrong but yeah I would really really recommend this I think the found family in it was done really well there were some really beautiful moments between some of the characters um this was for stuff for me but I would really recommend then we have got one of the five stars it is the last of which I have a rich dosman it was my favorite book of last year not surprised to see it this is the fold book in the thursday murder cop series aka one of my favorite series ever to exist I love you rich dosman the man that you are I think he's a genius I would love you know those you know the question where it's like would you have a million dollars or dinner with jay-z for me it's dinner with rich dosman and I think I'd pick dinner rich dosman I'm joking but like not I'm sure you all know what this series is about but if you don't we're following an elderly cast of characters at their retirement village as they solve murder mysteries they previously had been trying to solve cold cases hence the thursday murder club they'd meet up every thursday and try to solve cold cases together it was like a bit of fun but then murders can't stop coming at them I don't want to spoil anything for the previous books to you but basically the group an old friend in the antiques business has been killed and they kind of go on this path to find out why he was killed what happened this one definitely gets into like drug smuggling as like a subplot maybe a bit more espionage than some of the other books so I thought the murder mystery in itself was really strong in this book but a lot of the time in this book is also taken up with a very emotional subplot and it makes everyone cry and it makes us all emotional wrecks and rich dosman I can't believe he did this to us I haven't cried like this a book in a long time I'm so excited to reread this series at some point but the thing that rich dosman does is like he'll have you crying and then the next thing will be funny these books are so funny they have such humor and they have such an acute observation of human life right of what makes us tick of what makes us happy of the little things we talk about with our family I feel like a lot of books don't do this they don't highlight the small stuff right the small beauty that's in life and I really think that these books do I cannot for me it's the most accurate and some of it is because it's British references and I very much relate to them but it's the most accurate representation of like just humanity I feel like I don't know it really oh I just think they're absolutely wonderful absolutely wonderful and something also that I think is structurally great about these books is you have like three often like three scenes happening simultaneously that you this very short chapters and you skip back and forth between them so like you'll go between the three scenes and then a new scene will begin and then that one will end and then a new scene will begin and you're always swapping between scenes and I think that keeps the pacing absolutely wonderfully he I've been speaking a lot about his podcast lately I'm listening to the podcast that he does and he occasionally talks about the books often he's talking more about like his opinions on different pop culture events but um he spoke about how when he watches tv or movies he doesn't like when there's like an overhanging tense stressful issue like a I don't know how to explain it he explained it much better than me but like this really tense situation he doesn't like when it lasts for too long like in tv and movies he can't watch it if it's like we are stressed and worried about something for too long so he says that's why in his books everything is resolved fairly quickly it has lots of little issues that all kind of like we're worried and then it's resolved we're worried and then it's resolved and I just think it's a wonderful re-experience I know I've spoken about this book for quite a long time we this video doesn't need to be 10 hours long but I love I love this book I love it literally I am obsessed and I long to be in this show please make my dreams come true someone that's watching this and then we've got another old people murder mystery book I think this is the last one on the list they just happened to be the first three um and that is the Marlowe Murder Club by Robert Thurrogate this one we're following Judith Potts who's a little bit of an odd ball she's a little bit cray-cray not cray-cray but she just like she lives life her own way she moves to the beat of her own drum you know she witnesses a brutal murder of her neighbour one evening and at first the police like he weren't murdered babes he was not murdered and she's like okay I've gotta figure this out and then there's like two unlikely friends that she meets over the course of this who they kind of team up together to try and solve this murder and I really did enjoy this this is like a fun variation of all people serving murder mysteries basically I've read a lot of these they're everywhere I've tried out a lot of them a lot of them don't work for me but I really did enjoy the writing in this one I thought it was really well paced again I thought you know some of the mysteries I read nowadays there's like four scenes and it's really pissing me off like I read the anti-cunters guide to murder which is coming out this year one of my most anticipated releases I got an arc of it there was three scenes there was three scenes that entire book there was a lot of issues with that book but I think what this does well is it constantly was moving us and propelling us and going to different places I feel like that's what you need in a murder mystery you need like paced to it right and I think this did it really well all of these books where it's old characters of murder mysteries I do immediately compare it to the Thursday murder club and ultimately nothing will compare but I did really enjoy this and I am going to continue on the series because I think it's a fun version of what it is then we have the first of two books in a series some sequels that I've read that are on this list this is a very lively murder by Katie Watson this is the sequel to the three Dahlia's and basically the premise of these books is that there's this famous fictional detective called Dahlia Lively and we're following three women who have played her in TV movies throughout the years basically and the first book is set at this fan convention which is really really fun they solve a murder there and on this one the youngest is filming her first Dahlia Lively movie in the first book she'd just been announced but this one she's filming her first movie one of the elder Dahlia Lively's is in the movie is like a cameo so she's there and then people start dying oh no I think actually at first it seems that someone's trying to kill Rosalind who's the older Dahlia Lively who's it is a cameo so they call up the third Dahlia Lively to be like come see us we need your help but then murders start happening and I really enjoy these these are definitely like a love letter to the genre I think they contain a lot of fun tropes I'm really enjoying seeing the relationships grow now that we're getting deep into the series between these women I think this is criminally underrated not a lot of people have read these books and I picked the three Dahlia's up in a bookshop in London completely by chance I think it was in Goldspray where they do a lot of like first editions of books a lot of the more famous books were like way too expensive I'm like I gotta buy that like there was a um Illuminae by J. Christopher Amy Coffman first edition like signed special edition or whatever it was like 200 pounds I was like I don't have that kind of money the bitch is broke it's not even gonna affect nobody she ain't got no fucking money I got the three Dahlia's because it was like priced like a normal book it was like 12 14 pound or something it wasn't expensive and I just picked it up and I was like wow this is so much fun no one is reading these and I really think you guys should because this one was so fun look at the cover doesn't that just make you excited I really love the cover for this one it is a celebration of golden age crime and I thought again the mystery in this one worked really well I really really enjoyed it so this is I just think a really fun murder mystery series and I look quite a few of my patrons have started this series and they've all really enjoyed it and I just think it's fun you're gonna have a fun time again it's a little bit cozy a little bit comforting I really enjoyed it so I'm excited for this series to continue then we have got murder in the family by Kara Hunter where I did an entire video trying to solve this book as I read it basically there's a murder that happened in 2003 and now there is a documentary being made and we read the book basically entirely through this the the script of the the tv documentary that's being made they've brought together like six experts from different areas of like criminology to talk through the case and try to solve it as well as having interviews with the family members of this guy that was murdered it's just I love a mix media I love a mix media I will say my reading in this one I gave it four stars my reading of whatever I try to solve a book whenever I do those videos it's a very different reading experience to how I read normally and so I kind of view them as like a separate thing like I almost can't even rate them like when I'm reading a murder mystery normally I let myself be taken along with the ride I kind of don't really try to theorize whereas when I'm doing this I'm not reading a book I'm doing an investigation it's completely different so yeah I almost can't compare it to anything else but I think this is pretty successful in what it's trying to do it's been super popular this year and I think for good reason I think the um resolution of it was really really good and I just love mix media I love mix media it's a very different reading experience you know obviously there's no description it's all just a script format but I think that it was always such a fun reading experience especially if you haven't read a lot of them you know I think I mentioned true crime story in the video last year of this version and I just think they're always a fun time I just love mix media I'm a little bit of a sucker okay but you know I'm a simple girl then we've got another sequel that I absolutely love this is death beside the seaside by T.E.Kinsey this is I think is the seventh in the lady hard costume mystery series this is not the most recent one I've read but it was the last one I gave five stars and this one just really fun they go to obviously this is very deep in the series so like you don't need me recommending it to you but I'm just going to tell you read lady hard castle read lady hard costume mystery series listen to the audiobooks it's the best way to enjoy them lady hard cast I made flow solving murders it's funny it's light-hearted favorite cozy mystery ever to exist I love it listen to what I have to say because I'm right they basically go to this um seaside go to seaside break but then it ends up like raining in Thailand and then when they're there they're staying in this like little hotel by the seaside and people start going missing slash maybe being murdered and it's just a very fun book because you're in this hotel for the most part of it and you've got these very interesting little characters and they're all going down to dinner and like gossiping and like going on what do you think's happening I just really like the setting of this of them in this hotel I thought it was a very fun setting and I love it and also I read this on the beach I read this when me and Tom went to a Portugal on holiday went just like for a beach side holiday and um I read this laying on the beach and it was such a fun even though in the book they're like they keep trying to go see the sea and whenever they go the tide is out it was just fun reading a book about the seaside on the seaside do you know what I mean that just is such a fun experience so yeah I will recommend the Lady Hardcastle mystery series till the day I die go pick up the audiobooks because it's absolutely the best way to read it then we have got The Woman in the Library by Celare Gentile I think this might be the only one on the list I think I might give this a 3.5 but I rounded out to a 4 on Goodreads and I did enjoy this and I think this is one that I would really recommend to a lot of other people and I'd be really interested to what other people think of it so this one it's always such a bitch to explain so we've got a writer writing a murder mystery and she's writing letters to a pen pal and they're like talking about how good her murder mystery is and then we read the murder mystery that she's writing and in it we've got four people around a table who they're in Boston Public Library yeah and they hear a blood curdling scream from outside in the library and a woman is found dead but then we find out that one of the people around that table is the murderer so it's like how could they possibly have done it if they're sitting at the table yada yada yada it's a bit of a mystery I think my expectations of this set me up to fail a little bit so I thought they were gonna be stuck in the library then like it was gonna be locked down no one's allowed to leave and then we solve the murder mystery while they're there it's not the case it's like this book spans weeks right and they're all moving around the city whatever and I think this is very imaginative in what it does this is definitely if you're looking for a different kind of murder mystery this would be my recommendation because I think it's very creative but I think sometimes when you do something this creative it can be a little bit difficult to stick the landing but I think it's something that I would recommend to a lot of you because I think it would be a fun reading experience does that make sense it was just a little bit disappointing for me but I'm gonna keep trying out large intel a because I love the UK covers of her books it's not very often especially for like mystery thrillers that I prefer the UK covers to books often with they're so ugly but our slap the pink one for the um the mystery writer her release this year I love as well I love the style of these covers like the kind of retro like screaming woman I love them so this is one that's very unique and I think it was a fun premise it didn't quite stick the landing for me but I think it could for a lot of you okay and then we get into the three they're pushing it a little bit and has been classed as a murder mystery but I think they technically are so we've got the only one left by Riley Saker a lot of people call this a thriller but it technically is a murder mystery we've got Lenora Hope who everyone thinks is a mass murderer her entire family was killed however many years ago like 40 years ago 50 years ago 60 years ago I don't know they were murdered and everyone thinks Lenora Hope did it but there was never enough evidence to prosecute her and our main character is a live-in nurse and she gets assigned Lenora and she is trying to figure out what the truth is of what happened in the past so she is she is like the definition of murder mystery is there's been a murder and you've got someone trying to solve it that's what this is right but it also kind of isn't so I understand when someone will be like this isn't a murder mystery but I think if you're looking for like a thriller rematter mystery this will be my recommendation I really enjoyed this I think this I've read every Riley Saker book right some are more successful than others this is not my favorite but I think this is his best in terms of a lot of people are likely to enjoy it I think I think I think this is like his most widely recommendable book I think it's a lot of fun I think it's paced really well I don't think it's necessarily breaking the mold in terms of anything but I think everyone could read this and pretty much enjoy it I think it's been a really successful release for him there's past couple ones like I preferred the house across the lake to this but I can see why people don't like the house across the lake everyone doesn't like survive the night rightly so but um I can see why people have issues with house across the lake I think it was better than this I gave this four stars I really did enjoy it I think this is like sometimes as an author you've got to publish a thriller that just like is going to kill to the masses and I think that's what this is I really enjoyed the pacing of it I enjoyed there's like um the nurse helps Lenora type out on a typewriter the story of what happened and I enjoyed the twists and turns that happened with that I think it's a really strong book from him and I like his recent since survive the night onwards I would say there's been like well maybe no home before dark that they're home for dark because before that since time before dark there's been a strong all of his books have like an element of like is it supernatural is there a supernatural twist to this or isn't there and sometimes he does do it and sometimes he doesn't right and so I think that's always a fun element now with his books where like he's playing with you he's playing in a traditional murder mystery right there should never be supernatural elements or you would know from the beginning if there was right because it doesn't make it a fair play if like at the end you're like oh it's a ghost you know what I mean but I think the way he's doing it is very successful for me so I really enjoyed this one then we have got The Chateau by Jacqueline Goldis a lot of people would probably refer to this as a thriller but it's basically a murder mystery it's basically a who done it so these women are all invited by one of the women's is it her grandmother yes two day grandmothers like Chateau in France it's Richard Chateau which they used to go on holiday too they go there the grandmother's acting a little bit suspicious and then um she's murdered grandma's murdered and it's maybe one of them this one I can understand when everyone loves it it was a little bit of a uh uh controversial not controversial just like not widely loved book this year but I really did enjoy this I thought the French setting definitely had a bit of oolala about it I liked the drama there was a lot of twists throughout it that really I didn't capture the murder was but there's I think with the twist you could I think it is fair play I think it has a level of sophistication I like I like I like a good murder mystery in like a sophisticated setting I'm not gonna lie like that's why I love murder on the or an express like the idea of like being on the or an express like it's it's an evocation of a of a of a feeling of a moment of an experience right I feel like murder mysteries are so camp right that's why I love them they're so you can really play it up right and I love a setting that really brings the drama that brings it sets the stage right at the end of the day murder mysteries are like plays you know I don't know if I'm making sense but that's what I love about them and I really think this book did that well so I'm gonna keep trying out Jacqueline Goldest I can understand I think this is is this her debut I feel like this was her debut and I can understand there were a few debut the issues with it but I'm excited to see it grow and the author grow and then the final one is really cheating because it's not a murder mystery but it is you know pink homage to the genre and it is her guide to not getting murdered in a quaint English village by Maureen Johnson and Jay Cooper I love this actually this was a five star as well we had three five stars out of the ten apologies apologies apologies so obviously this isn't a murder mystery it's like a little almost like classic as a graphic novel and it's taking the mick out of the genre right because traditionally a lot of murder mysteries happen in a quaint English village you know Agatha Christie is very well known for that so it's got like the village and it's got the settings and it's got ways to die and it's got the characters and it's so much fun I love it as someone who loves murder mysteries this is like the perfect book if you love murder mysteries you need to get this book and read it it's so much fun it will take you like 20 minutes to read and I just love it it just brings me joy I don't know I love anything that like looks at a genre and takes the piss out of it especially murder mystery because it's my favorite and I just think this is so fun and I think like I said murder mysteries are ridiculous at the end of the day like they camp they're ridiculous they're over the top and so it's just rife for stuff to take the mick out of so I love this I cannot recommend it enough you guys if you love murder mysteries you need to go pick this little little book up so we have it that is 10 murder mystery books that I think you need to read let me know if you've read any of these and please like I always say please give me murder mystery recommendations your girl needs them I'm struggling out here I need more five star murder mysteries it's not fair why can't they have more five star murder mysteries and also I feel like my TBR is not murder mystery heavy at the moment I just need more for us to buy anything maybe I need to put myself in a book buying van for everything apart from murder mysteries anyways I hope you enjoyed this video if you got to the end of the video comment the drop of blood emoji and I'll see you very soon in another video bye