1 00:00:00,240 --> 00:00:04,000 Speaker 1: Seasonality is the phenomena where during certain times of the 2 00:00:04,080 --> 00:00:09,880 Speaker 1: year markets behave almost predictably. It's rooted in the idea 3 00:00:09,920 --> 00:00:14,480 Speaker 1: that investors and businesses and economic cycles have regular patterns. 4 00:00:15,000 --> 00:00:16,759 Speaker 2: These patterns aren't quite. 5 00:00:16,600 --> 00:00:19,279 Speaker 1: As regular as the phases of the moon. They don't 6 00:00:19,320 --> 00:00:23,239 Speaker 1: always work, but combine with other factors, they can take 7 00:00:23,280 --> 00:00:24,040 Speaker 1: on a life. 8 00:00:23,840 --> 00:00:24,360 Speaker 2: Of their own. 9 00:00:29,800 --> 00:00:36,240 Speaker 1: Season I'm Barry Redults and on today's edition of At 10 00:00:36,240 --> 00:00:39,199 Speaker 1: the Money, we're going to discuss what you need to 11 00:00:39,320 --> 00:00:43,920 Speaker 1: know about market seasonality to help us unpack all of 12 00:00:43,920 --> 00:00:47,360 Speaker 1: this and what it means for your portfolio. Let's bring 13 00:00:47,360 --> 00:00:51,800 Speaker 1: in Jeff hirsch Edler, in chief of the Stock Trader's Almanac, 14 00:00:52,200 --> 00:00:55,920 Speaker 1: who's been studying seasonality just about his whole life. 15 00:00:56,000 --> 00:00:58,400 Speaker 2: Jeff, welcome, Hey, Barry, great to be with you. 16 00:00:58,920 --> 00:01:02,200 Speaker 1: So talk a little bit about this. I mentioned certain 17 00:01:02,240 --> 00:01:05,679 Speaker 1: things happen every year. People raise money to pay taxes, 18 00:01:05,680 --> 00:01:10,679 Speaker 1: They pay taxes certain times of year, they make regular contributions. 19 00:01:10,840 --> 00:01:14,480 Speaker 1: What does the data you study say about seasonality? 20 00:01:15,000 --> 00:01:17,440 Speaker 3: It says that people are creatures of habit and it's 21 00:01:17,480 --> 00:01:21,319 Speaker 3: a behavioral for nance at its core, where people are 22 00:01:21,319 --> 00:01:23,760 Speaker 3: doing the same things over and over on a regular 23 00:01:23,800 --> 00:01:26,680 Speaker 3: basis you mentioned in the intro the four to one 24 00:01:26,800 --> 00:01:27,880 Speaker 3: K contributions. 25 00:01:28,560 --> 00:01:29,160 Speaker 2: One of the. 26 00:01:29,000 --> 00:01:31,440 Speaker 3: Things that I learned early on when I started working 27 00:01:31,480 --> 00:01:36,120 Speaker 3: for my father was about that mid month spike. So 28 00:01:36,280 --> 00:01:38,920 Speaker 3: he had promoted a pattern for years, the best five 29 00:01:39,160 --> 00:01:41,240 Speaker 3: days of the year, the monthly five day bulge, which 30 00:01:41,280 --> 00:01:42,720 Speaker 3: was the last trading day of the month, in the 31 00:01:42,720 --> 00:01:44,920 Speaker 3: first four of the new month, which is when people 32 00:01:44,920 --> 00:01:47,039 Speaker 3: pay their bills and make all their transactions on a 33 00:01:47,040 --> 00:01:49,280 Speaker 3: monthly basis, and then and I used to do those 34 00:01:49,360 --> 00:01:52,760 Speaker 3: numbers by hand, using the Barons market lab pages and 35 00:01:52,800 --> 00:01:54,960 Speaker 3: you know, underlining stuff and using an anti machine and 36 00:01:55,000 --> 00:01:58,440 Speaker 3: all that by hand work, which was educational. But there 37 00:01:58,480 --> 00:02:00,800 Speaker 3: we are looking at the pattern. We see there's a 38 00:02:00,840 --> 00:02:03,760 Speaker 3: spike midmonth, and we're looking at each other, we're talking 39 00:02:03,800 --> 00:02:06,240 Speaker 3: about it, and we realized that that was this new 40 00:02:06,640 --> 00:02:10,079 Speaker 3: pattern of people with the payroll deductions going into the market, 41 00:02:10,080 --> 00:02:13,080 Speaker 3: and fund managers have to be long so there is 42 00:02:13,080 --> 00:02:15,240 Speaker 3: this spike where cash is coming into the market during 43 00:02:15,240 --> 00:02:16,440 Speaker 3: the middle of the month, and you have that sort 44 00:02:16,480 --> 00:02:18,160 Speaker 3: of super eight days of the month now where you 45 00:02:18,200 --> 00:02:21,360 Speaker 3: have the middle three and the last two and first 46 00:02:21,360 --> 00:02:23,000 Speaker 3: three that become that seasonal pattern. 47 00:02:23,040 --> 00:02:26,360 Speaker 1: So my partner Josh Brown calls out the relentless bid. 48 00:02:27,240 --> 00:02:31,520 Speaker 1: Your dad, Yalehurst, founded stock Trader's Almanac. Gee, is it 49 00:02:31,639 --> 00:02:32,600 Speaker 1: sixty years ago? 50 00:02:32,639 --> 00:02:35,600 Speaker 2: How long ago? It was nineteen sixty six, the year 51 00:02:35,639 --> 00:02:36,320 Speaker 2: of my birth. 52 00:02:36,800 --> 00:02:38,840 Speaker 1: Wow, that's I was amazing. 53 00:02:38,520 --> 00:02:40,480 Speaker 2: Born bredwen raised on all these patterns. 54 00:02:40,480 --> 00:02:43,239 Speaker 1: So one of the things that he has discussed and 55 00:02:43,560 --> 00:02:48,400 Speaker 1: you've written about continuously is, Hey, it's not just the calendar. 56 00:02:48,840 --> 00:02:52,440 Speaker 1: You have to look at things like technicals, fundamentals, sentiment, 57 00:02:52,680 --> 00:02:56,880 Speaker 1: fun flows, monetary et cetera. How do you sort of 58 00:02:56,960 --> 00:03:00,160 Speaker 1: take all these different factors and combine them with these. 59 00:03:00,919 --> 00:03:05,120 Speaker 3: Well, I mean, right now in twenty twenty three, seasonality, 60 00:03:05,240 --> 00:03:07,239 Speaker 3: the four year cycle, the president's cycle are firing on 61 00:03:07,320 --> 00:03:10,480 Speaker 3: all pistons. It's it's almost too easy. It's not always 62 00:03:10,520 --> 00:03:15,079 Speaker 3: going to be that way. But we are always combining fundamentals, macroeconomics, 63 00:03:15,080 --> 00:03:18,600 Speaker 3: moninary policy, and technicals with sentiment. And you're looking at 64 00:03:18,639 --> 00:03:21,400 Speaker 3: it and it depends upon, like any fund manager or 65 00:03:21,440 --> 00:03:24,520 Speaker 3: any trader, which factors are leading and driving the market 66 00:03:24,520 --> 00:03:27,720 Speaker 3: at any given time. And we're always looking for things that 67 00:03:27,800 --> 00:03:31,079 Speaker 3: are you know, outliers and things that people aren't thinking about. 68 00:03:31,360 --> 00:03:34,880 Speaker 3: Contrary thinking is part of it. But at our core, 69 00:03:35,080 --> 00:03:38,000 Speaker 3: it's always about cycles. People are creatures of habit, you know, 70 00:03:38,040 --> 00:03:41,040 Speaker 3: they do things on a regular basis every day. I mean, 71 00:03:41,120 --> 00:03:42,920 Speaker 3: people get up the same time, they have lunch, the 72 00:03:42,960 --> 00:03:44,560 Speaker 3: same time, they go to bed, the same time. The 73 00:03:44,600 --> 00:03:46,800 Speaker 3: market closes the same time it opens at the same time. 74 00:03:47,040 --> 00:03:50,320 Speaker 3: And you see these patterns continually persist. So that's sort 75 00:03:50,320 --> 00:03:53,600 Speaker 3: of our bias. But we look at you know, technical setups, 76 00:03:54,560 --> 00:03:57,560 Speaker 3: and one of the key things is you know, if 77 00:03:57,800 --> 00:04:00,960 Speaker 3: the market or the stock or the sector is tracking 78 00:04:01,000 --> 00:04:04,200 Speaker 3: that pattern closely, then you know, gains we get gains. 79 00:04:03,960 --> 00:04:05,080 Speaker 2: Or losses we get losses. 80 00:04:05,120 --> 00:04:07,920 Speaker 3: And if it's if it's diverting, that's when we might 81 00:04:07,960 --> 00:04:11,560 Speaker 3: not take advantage of a seasonal pattern because it hasn't 82 00:04:11,600 --> 00:04:14,640 Speaker 3: come in setting up correctly or tracking the pattern closely. 83 00:04:14,720 --> 00:04:18,640 Speaker 1: So we're recording this a few weeks before Christmas. Let's 84 00:04:18,760 --> 00:04:21,839 Speaker 1: talk about some of my favorite seasonal patterns that you 85 00:04:22,400 --> 00:04:26,520 Speaker 1: write about in Stock Trader's Almanac. Santa Claus Rally, what's 86 00:04:26,560 --> 00:04:27,159 Speaker 1: happening with that? 87 00:04:27,440 --> 00:04:29,640 Speaker 2: Everybody gets it wrong? Year in year out. 88 00:04:30,320 --> 00:04:33,880 Speaker 3: Yale, my father created this devised this indicator back in 89 00:04:33,920 --> 00:04:36,320 Speaker 3: nineteen seventy two, came out in the seventy three Almanac. 90 00:04:36,839 --> 00:04:39,800 Speaker 3: It is this tendency for the S and P five 91 00:04:39,880 --> 00:04:42,120 Speaker 3: hundred gain one point three one and a half percent, 92 00:04:42,240 --> 00:04:44,800 Speaker 3: not a huge number over the last five trading days 93 00:04:44,800 --> 00:04:46,200 Speaker 3: of the year, in the first two of the new year. 94 00:04:46,240 --> 00:04:48,479 Speaker 3: It's not the rally, the year end rally, the fourth 95 00:04:48,560 --> 00:04:52,640 Speaker 3: quarter rally from Halloween to January that everyone likes to use. 96 00:04:52,520 --> 00:04:54,839 Speaker 2: That for the best few months of the year. 97 00:04:54,839 --> 00:04:56,279 Speaker 3: It's not the best few months of the year. It 98 00:04:56,320 --> 00:04:59,360 Speaker 3: is this indicator. And as Yale, everyone forgets who created 99 00:04:59,360 --> 00:05:02,120 Speaker 3: the You know he a songwriter, Barry, He could coin 100 00:05:02,200 --> 00:05:05,520 Speaker 3: a phrase my father. The line is if Santa Claus 101 00:05:05,520 --> 00:05:08,280 Speaker 3: should failed to call bears may come to broader wall. 102 00:05:08,440 --> 00:05:10,720 Speaker 3: And what that means is that during that last week 103 00:05:10,760 --> 00:05:12,960 Speaker 3: of the year, when you know you might be away, 104 00:05:13,240 --> 00:05:16,359 Speaker 3: I might be doing some family things, and the pros 105 00:05:16,400 --> 00:05:18,440 Speaker 3: are on this, you know, on their desk, buying up 106 00:05:18,520 --> 00:05:21,200 Speaker 3: bargain stocks that were sold for tax laws selling. If 107 00:05:21,240 --> 00:05:23,640 Speaker 3: they're not doing that and the market doesn't valley during 108 00:05:23,640 --> 00:05:27,400 Speaker 3: that time, it's an indication that things are amiss. 109 00:05:27,480 --> 00:05:30,920 Speaker 1: So let's talk about the January effect. What does that mean? 110 00:05:30,960 --> 00:05:32,960 Speaker 3: Well, the January fact not to be confused with the 111 00:05:33,040 --> 00:05:36,000 Speaker 3: January barometer. The January effects is a tendency for small 112 00:05:36,040 --> 00:05:38,479 Speaker 3: caps to perform large caps in January, and as we 113 00:05:38,520 --> 00:05:41,120 Speaker 3: show in the Almanac, most of that January effect is 114 00:05:41,160 --> 00:05:42,760 Speaker 3: really the December effect. 115 00:05:42,800 --> 00:05:44,840 Speaker 1: Now it takes they dump those stocks in December and 116 00:05:44,880 --> 00:05:45,680 Speaker 1: now they're buying them back. 117 00:05:45,880 --> 00:05:48,039 Speaker 3: And right as we're speaking here, we're coming into that 118 00:05:48,080 --> 00:05:50,960 Speaker 3: mid December period where small caps start to take off 119 00:05:51,080 --> 00:05:53,360 Speaker 3: versus the large caps. We've seen the Russell two thousand 120 00:05:53,480 --> 00:05:56,120 Speaker 3: already begin to perk up, as it does around the 121 00:05:56,200 --> 00:05:58,920 Speaker 3: end of October. But the January barometer, which is the 122 00:05:58,960 --> 00:06:01,800 Speaker 3: other season indicator, is as January goes, so goes the year. 123 00:06:02,120 --> 00:06:05,800 Speaker 3: Another Yale invention at the same time in seventy two, 124 00:06:06,600 --> 00:06:10,240 Speaker 3: and you know, we've seen January take take it on 125 00:06:10,279 --> 00:06:11,839 Speaker 3: the chin a bit in recent years. 126 00:06:12,040 --> 00:06:15,279 Speaker 1: I saw a really interesting analysis of the January barometer 127 00:06:15,800 --> 00:06:19,720 Speaker 1: that said it's not limited to January. It's essentially a 128 00:06:19,800 --> 00:06:24,400 Speaker 1: momentum measure. Any strong month usually leads to another strong month. 129 00:06:25,600 --> 00:06:27,400 Speaker 2: There is the gains beginning gains. 130 00:06:27,680 --> 00:06:31,240 Speaker 3: We've compared all the monthly barometers, a very single month 131 00:06:31,240 --> 00:06:33,760 Speaker 3: of January the best, not just like it, but you know, 132 00:06:34,160 --> 00:06:37,200 Speaker 3: we've looked at it from the subsequent eleven months, the 133 00:06:37,240 --> 00:06:39,360 Speaker 3: subsequent twelve months, and the whole year. 134 00:06:39,400 --> 00:06:41,480 Speaker 2: And the thing that happens in January is that it's 135 00:06:41,520 --> 00:06:43,479 Speaker 2: the beginning of the year. Sets the tone. 136 00:06:43,560 --> 00:06:45,360 Speaker 3: It sets the tone you've got. And the reason why 137 00:06:45,360 --> 00:06:47,720 Speaker 3: the January barometer works is that is the nineteen thirty 138 00:06:47,720 --> 00:06:50,479 Speaker 3: three lame Duck Amendment to Congress. When they passed this, 139 00:06:51,760 --> 00:06:55,400 Speaker 3: newly elected senators and congress people were would take office 140 00:06:55,440 --> 00:06:59,760 Speaker 3: thirteen months later after they were elected, hence lame ducks, 141 00:07:00,560 --> 00:07:03,520 Speaker 3: and then and presidents were also inaugurated in March. There 142 00:07:03,560 --> 00:07:05,400 Speaker 3: was a whole period where you know, now it's January. 143 00:07:05,680 --> 00:07:08,159 Speaker 3: Winter was tough back in you know, the colonial times 144 00:07:08,160 --> 00:07:12,320 Speaker 3: to get to DC. So it moved inauguration of January 145 00:07:12,320 --> 00:07:14,440 Speaker 3: twenty If new Congress is convening to the first week 146 00:07:14,480 --> 00:07:18,280 Speaker 3: of January, and everybody, including you know, President company here 147 00:07:18,880 --> 00:07:23,320 Speaker 3: makes forecast, outlooks, sets, agendas, and precedents. You have States 148 00:07:23,320 --> 00:07:26,840 Speaker 3: of the Union, State of the Union, addresses, and a 149 00:07:26,840 --> 00:07:27,760 Speaker 3: lot of forecasts. 150 00:07:27,920 --> 00:07:30,080 Speaker 1: So it tends to be an optimistic timing year. 151 00:07:30,080 --> 00:07:32,680 Speaker 3: Tends to be optimistic. But also it's the time where 152 00:07:32,720 --> 00:07:33,880 Speaker 3: people are looking to the future. 153 00:07:34,160 --> 00:07:38,680 Speaker 1: So you mentioned Congress and presidents. Let's talk about the 154 00:07:38,720 --> 00:07:41,920 Speaker 1: presidential election cycle. I know you've been writing about this 155 00:07:42,160 --> 00:07:44,760 Speaker 1: for as long as I know you. We're in the 156 00:07:44,800 --> 00:07:48,800 Speaker 1: third year of a president's term. That is your favorite year. 157 00:07:49,160 --> 00:07:50,760 Speaker 3: It is the most bullish year. But I want to 158 00:07:50,800 --> 00:07:52,560 Speaker 3: I want to just finish one thing on January if 159 00:07:52,560 --> 00:07:55,160 Speaker 3: I can. There's a new, a new rinkle we've added 160 00:07:55,160 --> 00:07:58,000 Speaker 3: to it since January has has had some trouble recently 161 00:07:58,000 --> 00:08:00,000 Speaker 3: with a lot of profit taking. We've taken the old 162 00:08:00,160 --> 00:08:02,600 Speaker 3: first five days of the year, which the early warning 163 00:08:02,640 --> 00:08:04,680 Speaker 3: sess but it's also on the almanac, plus the Santa 164 00:08:04,680 --> 00:08:07,520 Speaker 3: Claus rally plus the full month January barometer created something 165 00:08:07,560 --> 00:08:11,880 Speaker 3: called the January Indicator trifecta. Since nineteen fifty, when the 166 00:08:11,920 --> 00:08:14,560 Speaker 3: three are up the Santa Claus rally, first five days 167 00:08:14,560 --> 00:08:16,320 Speaker 3: in a full month, the S and P has been 168 00:08:16,400 --> 00:08:18,920 Speaker 3: up ninety point three percent at the time, twenty eight 169 00:08:18,960 --> 00:08:20,720 Speaker 3: to thirty one years for an average came to seventeen 170 00:08:20,760 --> 00:08:21,360 Speaker 3: and a half percent. 171 00:08:21,400 --> 00:08:23,560 Speaker 2: That's pretty big, pretty good numbers. 172 00:08:23,680 --> 00:08:26,720 Speaker 1: How did the numbers look last year after we mand 173 00:08:26,760 --> 00:08:28,840 Speaker 1: those lows in October of twenty two? 174 00:08:29,120 --> 00:08:30,720 Speaker 3: Did you have the track we get the Triffact in 175 00:08:30,760 --> 00:08:34,280 Speaker 3: twenty three. Guess what twenty two? No sh effecta in 176 00:08:34,320 --> 00:08:37,360 Speaker 3: a midterm year, which segues back to your question about 177 00:08:37,360 --> 00:08:40,360 Speaker 3: the four year cycle, which you know you talked about 178 00:08:40,520 --> 00:08:42,840 Speaker 3: things happening on a regular basis. There's only one country 179 00:08:42,840 --> 00:08:45,400 Speaker 3: in the world that elects its leader on the same 180 00:08:45,480 --> 00:08:48,200 Speaker 3: day every four years. That's the United States. Everyone's got 181 00:08:48,200 --> 00:08:49,800 Speaker 3: these parliamentary votes. 182 00:08:49,800 --> 00:08:51,840 Speaker 1: Called for an election. Yeah, it's a week later and 183 00:08:51,840 --> 00:08:54,760 Speaker 1: they're done so, which, by the way, in America, that 184 00:08:54,800 --> 00:08:55,760 Speaker 1: doesn't sound too bad. 185 00:08:55,800 --> 00:08:56,760 Speaker 2: Get it over in a week. 186 00:08:56,920 --> 00:09:00,480 Speaker 3: Well, we can get into politics in theology. But the 187 00:09:00,840 --> 00:09:03,920 Speaker 3: cycle here is, you know, the pre election year is 188 00:09:03,960 --> 00:09:05,680 Speaker 3: the best year of the four year cycle, up about 189 00:09:05,760 --> 00:09:07,760 Speaker 3: sixteen in. 190 00:09:07,760 --> 00:09:09,640 Speaker 2: The S and P. This is nineteen fifty. 191 00:09:09,960 --> 00:09:12,720 Speaker 3: We see the mid term lows that move from the 192 00:09:12,720 --> 00:09:15,800 Speaker 3: mid term low like we had last year really well, yeah, 193 00:09:15,880 --> 00:09:18,320 Speaker 3: I mean average gains about forty eight percent for the 194 00:09:18,920 --> 00:09:20,960 Speaker 3: Dow from the mid term low to the pre election 195 00:09:21,000 --> 00:09:23,880 Speaker 3: year high, and it's about sixty eight percent for Nasdaq. 196 00:09:24,720 --> 00:09:26,559 Speaker 3: And what I've seen and what I show when I 197 00:09:26,600 --> 00:09:29,680 Speaker 3: when I when I present to people is that amazingly, 198 00:09:30,360 --> 00:09:32,880 Speaker 3: you know, there's a good cluster of lows in the 199 00:09:32,920 --> 00:09:35,679 Speaker 3: midterm Octobers. We know that October is a bear killer 200 00:09:35,720 --> 00:09:38,320 Speaker 3: and another one of Yale's phrases. But a lot of 201 00:09:38,360 --> 00:09:43,120 Speaker 3: the highs, the yearly highs, occur in December and in 202 00:09:43,280 --> 00:09:45,520 Speaker 3: good chuckle them on the last trading day of the 203 00:09:45,559 --> 00:09:46,280 Speaker 3: pre election year. 204 00:09:46,360 --> 00:09:48,520 Speaker 1: Now, how much of that is just window dressing and 205 00:09:48,559 --> 00:09:51,280 Speaker 1: how much of that is just people have cash that 206 00:09:51,360 --> 00:09:54,880 Speaker 1: they have to allocate in the calendar year and they're 207 00:09:54,920 --> 00:09:55,840 Speaker 1: just putting it to work. 208 00:09:55,920 --> 00:09:57,600 Speaker 3: I think it's a lot of both of those. Yeah, 209 00:09:57,640 --> 00:10:00,840 Speaker 3: I mean window dressing happens every year. Windows in September 210 00:10:00,920 --> 00:10:02,800 Speaker 3: is what creates the negative period. 211 00:10:03,000 --> 00:10:05,480 Speaker 1: In September the fiscal year. 212 00:10:05,520 --> 00:10:06,680 Speaker 2: Then in September thirty. 213 00:10:06,480 --> 00:10:08,680 Speaker 3: And also the October thirty first botch of front deadline 214 00:10:08,679 --> 00:10:10,400 Speaker 3: by the irs, where you got a file, you got 215 00:10:10,400 --> 00:10:12,280 Speaker 3: to reconcile your accounting for the ten months of the 216 00:10:12,320 --> 00:10:12,839 Speaker 3: twelve months. 217 00:10:12,840 --> 00:10:15,720 Speaker 1: And you know, so let's talk about what I know 218 00:10:16,120 --> 00:10:21,600 Speaker 1: as your all time favorite seasonality factor. Sell in May 219 00:10:21,840 --> 00:10:22,760 Speaker 1: and then go away. 220 00:10:22,960 --> 00:10:24,679 Speaker 3: I always say you got to buy in October to 221 00:10:24,679 --> 00:10:25,960 Speaker 3: get your portfolio sover. 222 00:10:26,920 --> 00:10:29,320 Speaker 2: So again, this was something that you know. 223 00:10:29,400 --> 00:10:34,680 Speaker 3: David Aronson is a technical technician through the CMT organization 224 00:10:34,800 --> 00:10:37,280 Speaker 3: as well as a brute college. He did a book 225 00:10:37,280 --> 00:10:39,880 Speaker 3: in eight which was our best investment book of the 226 00:10:39,960 --> 00:10:42,760 Speaker 3: year called Evidence based Technical Analysis. 227 00:10:42,800 --> 00:10:44,160 Speaker 2: Oh sure, I remember that. 228 00:10:44,280 --> 00:10:46,880 Speaker 3: So what he did was he took six thousand plus 229 00:10:46,920 --> 00:10:49,880 Speaker 3: about sixty two hundred different black box systems and put 230 00:10:49,920 --> 00:10:52,800 Speaker 3: them through the scientific method, which I had to learn 231 00:10:52,840 --> 00:10:56,679 Speaker 3: what that is that testing the null hypothesis. 232 00:10:56,000 --> 00:10:59,079 Speaker 1: Taking it, taking it out of sample, running it against 233 00:10:59,120 --> 00:11:02,720 Speaker 1: other is shoes, not just cherry picking the best assortment 234 00:11:02,760 --> 00:11:03,520 Speaker 1: of dates. 235 00:11:03,320 --> 00:11:06,200 Speaker 3: Right, and seeing if any of these systems had predictive 236 00:11:06,240 --> 00:11:09,720 Speaker 3: power or were just a result of chance. So when 237 00:11:09,960 --> 00:11:12,560 Speaker 3: we picked that book, we said, David, can you take 238 00:11:12,600 --> 00:11:14,880 Speaker 3: the best six months and do the same thing. So 239 00:11:14,920 --> 00:11:18,480 Speaker 3: he took it from Yale invented that strategy, the best 240 00:11:18,480 --> 00:11:21,040 Speaker 3: six months Switching strategy, and it was in nineteen eighty 241 00:11:21,080 --> 00:11:23,040 Speaker 3: six and the eighty seven Almanacs, so he took it 242 00:11:23,080 --> 00:11:26,160 Speaker 3: from eighty seven forward so that he didn't have any 243 00:11:26,160 --> 00:11:28,800 Speaker 3: of the back test bias in that and he found 244 00:11:28,960 --> 00:11:32,120 Speaker 3: that unlike any of the other six thousand plus different 245 00:11:32,160 --> 00:11:35,560 Speaker 3: black box systems, the best six months switching strategy had 246 00:11:35,640 --> 00:11:37,480 Speaker 3: predictive power and the results were not. 247 00:11:37,360 --> 00:11:38,200 Speaker 2: The result of chance. 248 00:11:38,720 --> 00:11:41,079 Speaker 3: So It is one of the main overlays we have 249 00:11:41,960 --> 00:11:45,640 Speaker 3: in our newsletter and portfolio construction that we do. 250 00:11:45,720 --> 00:11:50,400 Speaker 1: So rationalize this. What is it about May, June, July, August, 251 00:11:50,400 --> 00:11:53,360 Speaker 1: September that seems to be so met. 252 00:11:53,760 --> 00:11:57,080 Speaker 3: Well, I mean I mentioned the October thirty, first weeks 253 00:11:57,080 --> 00:11:59,600 Speaker 3: of fund deadline, which creates that sort of low period. 254 00:12:00,120 --> 00:12:02,920 Speaker 3: You have the you know, most of the human race, 255 00:12:03,120 --> 00:12:05,480 Speaker 3: most of human beings live in the northern hemisphere, right, 256 00:12:05,559 --> 00:12:07,679 Speaker 3: most of the land masses up there. So we have, 257 00:12:08,080 --> 00:12:10,520 Speaker 3: you know, this period of time where you know, there's 258 00:12:10,520 --> 00:12:14,080 Speaker 3: a lot of light from May through September, and we 259 00:12:14,160 --> 00:12:15,280 Speaker 3: do a lot of other things. 260 00:12:15,320 --> 00:12:17,079 Speaker 2: I've seen you go on fishing. 261 00:12:16,720 --> 00:12:19,040 Speaker 3: Trips, I play a lot of golf, My kids go 262 00:12:19,120 --> 00:12:21,880 Speaker 3: to camp, people go on vacation, okay, And. 263 00:12:21,840 --> 00:12:24,560 Speaker 2: You know, you remember, everyone's distracted else everyone's distracted. 264 00:12:24,920 --> 00:12:28,200 Speaker 3: And you know when you have lower volume stock sandaco 265 00:12:28,360 --> 00:12:32,200 Speaker 3: down especially you know, after you've come into the Q 266 00:12:32,280 --> 00:12:34,320 Speaker 3: four and Q one with all that extra money and 267 00:12:34,360 --> 00:12:36,680 Speaker 3: all that extra buying. So it's a it's a not 268 00:12:36,760 --> 00:12:39,440 Speaker 3: a vicious cycle, but it's a regular cycle of the 269 00:12:39,480 --> 00:12:41,960 Speaker 3: flow of cash and money in and out of the market, 270 00:12:42,120 --> 00:12:44,280 Speaker 3: and people try to debunk the best six months by 271 00:12:44,280 --> 00:12:46,640 Speaker 3: going back to eighteen ninety six when the dow started 272 00:12:47,120 --> 00:12:49,400 Speaker 3: and you know, it didn't work back then, but back 273 00:12:49,400 --> 00:12:50,079 Speaker 3: to people. 274 00:12:49,840 --> 00:12:52,160 Speaker 1: Really didn't go on summer vacation. There weren't a lot 275 00:12:52,200 --> 00:12:53,520 Speaker 1: of sleepway camps back then. 276 00:12:53,640 --> 00:12:58,240 Speaker 3: No, And you know, it was a farming agrarian society 277 00:12:58,280 --> 00:13:01,000 Speaker 3: where I was worked, where money pretty much buying me 278 00:13:01,200 --> 00:13:02,800 Speaker 3: in the first half of the last century of the 279 00:13:02,800 --> 00:13:05,640 Speaker 3: twentieth century, where money would come into the agriculture that'd 280 00:13:05,679 --> 00:13:09,040 Speaker 3: be buying a fuel, seed, you know, fertilizer equipment, and 281 00:13:09,080 --> 00:13:12,560 Speaker 3: they also were borrowing money. And then when the loans 282 00:13:12,600 --> 00:13:15,520 Speaker 3: came due at harvest time is when the market rolled 283 00:13:15,520 --> 00:13:16,319 Speaker 3: over in September. 284 00:13:16,480 --> 00:13:19,360 Speaker 1: So this is the inverse of that. So what's the 285 00:13:19,400 --> 00:13:22,040 Speaker 1: worst month of the year for stocks. 286 00:13:22,880 --> 00:13:25,280 Speaker 3: August or September, depending upon if you go back to 287 00:13:25,360 --> 00:13:28,400 Speaker 3: nineteen fifty or eighty seven post crash. So I mean, 288 00:13:28,400 --> 00:13:30,200 Speaker 3: and they delivered this year back to back. 289 00:13:31,240 --> 00:13:32,120 Speaker 2: That was the low. August. 290 00:13:32,120 --> 00:13:35,200 Speaker 1: September was the low this year, and we had an 291 00:13:35,240 --> 00:13:38,280 Speaker 1: amazing November following that. October was pretty good. 292 00:13:38,280 --> 00:13:39,959 Speaker 2: November was October was in turn. 293 00:13:40,400 --> 00:13:43,000 Speaker 3: October was the turn, which is I mean, there's a 294 00:13:43,040 --> 00:13:46,160 Speaker 3: picture from the sixty nine Almanac, which shows that you know, 295 00:13:46,280 --> 00:13:49,480 Speaker 3: October bear killer bargain month, the best time to buy stocks, 296 00:13:49,840 --> 00:13:51,240 Speaker 3: especially small and tech stocks. 297 00:13:51,280 --> 00:13:53,079 Speaker 2: What are the best months for the year. 298 00:13:53,679 --> 00:13:59,040 Speaker 3: November, December, January or the three best consecutive months we've seen? 299 00:13:59,480 --> 00:14:00,440 Speaker 2: You know, October over. 300 00:14:00,320 --> 00:14:03,240 Speaker 3: Get better on the turnaround, but basically November December are 301 00:14:03,280 --> 00:14:05,280 Speaker 3: the best. January has gotten a little bit weaker with 302 00:14:05,640 --> 00:14:07,360 Speaker 3: profit taking. It seems to happen in the new year 303 00:14:07,400 --> 00:14:07,840 Speaker 3: these days. 304 00:14:08,040 --> 00:14:12,080 Speaker 1: Last question, we're coming up on the fourth year of 305 00:14:12,120 --> 00:14:15,800 Speaker 1: a presidential term. It's an election year in twenty twenty four. 306 00:14:16,240 --> 00:14:19,600 Speaker 1: What does seasonality tell us about presidential election years? 307 00:14:19,880 --> 00:14:22,400 Speaker 3: Well, I mean, we have a sitting president running for 308 00:14:22,440 --> 00:14:26,600 Speaker 3: re election and our research shows that you know, as 309 00:14:26,600 --> 00:14:29,240 Speaker 3: we all know, the market hates uncertainty. So with the 310 00:14:29,280 --> 00:14:33,000 Speaker 3: same person in office who's running again, whether whatever the polls. 311 00:14:32,720 --> 00:14:34,320 Speaker 2: Say is one thing. 312 00:14:34,360 --> 00:14:37,880 Speaker 3: But the fact that the potentiality of the same policies, 313 00:14:38,240 --> 00:14:42,880 Speaker 3: the same economic, civic and you know, market oriented policies 314 00:14:42,880 --> 00:14:44,080 Speaker 3: are going to be in play or at least the 315 00:14:44,160 --> 00:14:48,160 Speaker 3: same mentality, the power of a sitting president is really undeniable. 316 00:14:48,240 --> 00:14:50,240 Speaker 3: Years when you have a sitting president running for reelection. 317 00:14:50,680 --> 00:14:53,200 Speaker 3: The Dow is up they excuse me, S and p 318 00:14:53,320 --> 00:14:56,240 Speaker 3: is up twelve point six percent, twelve point eight percent, 319 00:14:56,280 --> 00:14:59,560 Speaker 3: excuse me. And when there's an open field, it's minus 320 00:14:59,560 --> 00:15:00,480 Speaker 3: one and a half percent. 321 00:15:00,760 --> 00:15:03,000 Speaker 2: Huh So for US. 322 00:15:03,360 --> 00:15:05,840 Speaker 1: You think it's bullish having a president run for reelection, 323 00:15:06,400 --> 00:15:08,880 Speaker 1: even if it's against a prior president. 324 00:15:09,720 --> 00:15:12,800 Speaker 2: There's not a whole lot of data points for the Madrids. 325 00:15:12,800 --> 00:15:15,000 Speaker 2: You gotta go back a century and chall what's it? One? 326 00:15:16,000 --> 00:15:19,040 Speaker 3: Amazing that's not a pattern. But anyway, we're bullish for 327 00:15:19,160 --> 00:15:19,880 Speaker 3: twenty twenty four. 328 00:15:27,920 --> 00:15:30,680 Speaker 1: It's important to note that while these seasonal trends have 329 00:15:30,800 --> 00:15:35,360 Speaker 1: been observed historically, they're certainly not guarantees of future performance. 330 00:15:35,840 --> 00:15:39,000 Speaker 1: Markets are influenced by a wide array of factors, and 331 00:15:39,240 --> 00:15:43,560 Speaker 1: past patterns do not always predict future results. Markets may 332 00:15:43,560 --> 00:15:46,960 Speaker 1: have become more efficient than ever between algorithmic trading and AI, 333 00:15:47,720 --> 00:15:52,760 Speaker 1: maybe that could have an impact on seasonal trends. Regardless, 334 00:15:52,760 --> 00:15:56,000 Speaker 1: investors should be aware of seasonality and what it might 335 00:15:56,120 --> 00:16:00,360 Speaker 1: mean in combination with all those other factors. Were their 336 00:16:00,400 --> 00:16:05,880 Speaker 1: comprehensive investment strategy. I'm Barry Ridolts. You're listening to Bloomberg 337 00:16:06,000 --> 00:16:07,560 Speaker 1: radios at the money,