Long-Term
Decennial Pattern & Performance
The table averages market performance for each calendar year ending in the same digit and shows how often those years closed up or down. We’ve now in the year ending in 6, which historically has closed in positive territory over 70% of the time. However, the average gains in such years tend to be more modest—especially when compared to the typically stronger performance seen in years ending in 5.
Please note that the up/down counts in the table reflect only the direction of the yearly close and do not distinguish between small or large gains or losses. A year marked as “up” may include increases as minimal as 0.1%.
| 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | |
| Avg % | 1.34% | 1.38% | 0.64% | 16.27% | 7.97% | 21.44% | 9.41% | 1.49% | 10.07% | 10.37% |
| Up/Down | 5/5 | 5/5 | 6/4 | 8/2 | 7/3 | 9/1 | 7/2 | 6/3 | 7/3 | 7/3 |
Kitchin Cycle
The Kitchin Cycle is a short-term business cycle lasting approximately 40.68 months, or about 3.4 years. First identified by economist Joseph Kitchin in the 1920s, it reflects recurring fluctuations in production and inventories. These cycles are driven by delays in information flow and business decision-making — companies respond to market signals with a lag, often overcorrecting by overproducing or underproducing. The result is a rhythmic, short-term economic pulse, distinct from longer cycles like Juglar or Kondratiev waves. Source: Technical Analysis Explained – Martin J. Pring.
| Last Forecast Date | Type | Actual Date | Actual Direction | Next Peak | Next Valley |
| 09/04/2025 | Valley | 07/04/2025 | Up untill next peak | 23/04/2027 | 08/12/2028 |
Presidential Cycle
Midterm Year (Year 2):
The second year is historically the most difficult. The weakness from late in Year 1 can spill over, and the first half of the year is often dominated by hesitancy, uneven growth, or outright declines. Political uncertainty around midterm elections tends to weigh on sentiment, while policy adjustments or tighter monetary conditions can add to the pressure. The turning point usually comes in the latter part of the year. By autumn, markets often carve out an important low, setting the stage for a strong rebound in the final quarter, as election results bring clarity and forward-looking investors position for the next phase of the cycle.
January Barometer

The 2026 January Barometer will be available at the end of January 2026.
This is a modified interpretation of the classic January Barometer originally introduced by Yale Hirsch, which states: “As goes the S&P in January, so goes the year.” In this version, the focus shifts away from absolute direction and instead emphasizes potential inflection points, changes in trajectory, and the steepness of price movements. The directional bias of individual segments is intentionally disregarded, as historical reliability on that front remains questionable.
The core concept involves extrapolating January’s behavioral pattern across the entire calendar year — essentially “stretching” the market’s movements from January and projecting that rhythm through to December, as a framework for observing possible structural or psychological echoes in market behavior.
Annual S&P 500 Forecast Overview

This chart presents my yearly forecast for the S&P 500 Index.
The percentage figures represent how often, in historically comparable years, the market printed its lowest low during a specific quarter. A key rule applies: Q1 lows are only included if they are lower than the lowest low recorded in Q4 of the preceding year, ensuring that only meaningful new lows are counted.
For example, a 50% reading in a given quarter indicates that, in half of the years studied, the annual lowest low occurred during that quarter. The highlighted months further refine this analysis by highlighting the specific months within those quarters where the lowest lows most frequently materialized.
Together, these elements provide a time-based framework for identifying periods where downside risk has historically tended to concentrate, rather than predicting precise price levels.
Mid-Term
Seasonal Patterns

Source: The Research Driven Investor by Timothy Hayes
The chart below illustrates the stock market’s seasonal tendencies — its historical propensity to rise or fall during each calendar month. We’ll use this as the primary basis for establishing a mid-term directional bias.
Note: While the chart on the left is based on the Dow Jones Industrial Average, the accompanying monthly performance table reflects data from the S&P 500. Similar to the yearly performance table above, keep in mind the usual caveats — seasonal patterns can inform bias, but they’re far from guarantees.
| JAN | FEB | MAR | APR | MAY | JUN | JUL | AUG | SEP | OCT | NOV | DEC | |
| Avg. | +1.2% | -0.2% | +0.4% | +1.1% | 0.0% | +0.9% | +1.4% | +0.5% | -1.1% | +0.5% | +0.9% | +1.2% |
| % Up | 62% | 53% | 60% | 62% | 61% | 58% | 61% | 58% | 46% | 58% | 58% | 73% |
Sector Signals and Relative Strength
DJU

The Dow Jones Utilities Average (DJU) is used here as a leading indicator for potential weakness in the broader equity markets. While I can’t recall the original source of this idea, I’ll be sure to credit the author if and when it comes back to me. Through observation and analysis, I’ve found that the DJU often signals prolonged periods of market weakness approximately three months in advance of major indices like the S&P 500. This lead time is an average — typically around 55 trading days — with a buffer of roughly ±1 week to account for variability.
SPXEW

Historically, divergence between the S&P 500 and broader measures such as the S&P 500 Equal Weight Index (SPXEW) has often served as an early warning signal for upcoming corrections in the S&P 500. While the S&P 500 is weighted by market capitalization, giving more influence to the largest companies, the SPXEW treats all 500 constituents equally, offering a more balanced view of overall market participation. These divergences tend to be more reliable when signaling tops rather than bottoms. Tops usually form gradually, allowing time for divergences to emerge. Bottoms, however, are often sharp and “V”-shaped, giving little warning. As a result, while this method can help identify downside risk, it’s far less effective at spotting recoveries or timing market lows.
Shaded background is on test – DO NOT USE.
XBD/SPY & XLP/SPY Relative Strenght

Source: Technical Analysis Explained – Martin J. Pring
Relative Strength (RS) is a technical metric used to evaluate the performance relationship between two securities. In the chart, we compare XBD (Securities Brokers) and XLP (Consumer Staples – plotted inverted), both measured relative to the SPY.
Starting with XLP/SPY: XLP represents the Consumer Staples Select Sector SPDR. The underlying premise is that during bear markets, investors often seek refuge in consumer staples due to their defensive nature. Conversely, in bull markets, these stocks tend to underperform as capital shifts toward higher-growth, more speculative sectors. For this reason, the XLP/SPY line has been plotted in an inverted format, allowing for easier identification of divergences that often signal shifts in investor sentiment.
Now, turning to XBD/SPY: XBD represents the NYSE Arca Securities Broker/Dealer Index. Historically, this index has shown a tendency to lead market tops and bottoms. When the relative strength line peaks and begins to decline or move sideways, it often precedes a change in market trend—though the timing can vary. This change may result in a downturn or simply a period of consolidation. The inverse also holds true, with the index providing useful signals near market bottoms as well.
Monthly Forecasts
FEBRUARY
The choppy, range-bound behavior observed in the final days of January may persist into around February 12, where a potential upside phase could begin to develop. If that advance materializes, it may extend toward February 24, after which the market could transition into a choppy, corrective decline, characterized more by uneven pullbacks and consolidation than a clean directional sell-off.
FEBRUARY’s DOI: 12th, 24th.
DOIs: “DOI” refers to “Date of Interest” — a term used to highlight specific days when potential market reversals or periods of heightened volatility may occur. The methodology behind the identification of these dates has not been disclosed in previous publications and will remain confidential in future ones.
JANUARY
The outlook for January suggests a sluggish start to the year, with a slightly bullish bias in the early days. A potential shift in direction is anticipated around January 14th, likely tilting to the downside. This pullback is expected to be short-lived, with a reversal to the upside projected around January 21st, potentially leading to a strong upward move into month-end.
JANUARY’s DOI: 14th, 21st.
As reflected in the Annual S&P 500 Forecast Overview, the timing component of the forecasts proved to be quite accurate. A separate question, however, is whether those moves were consistently tradable—something that depends largely on individual style and risk tolerance. In my case, opportunities were present, but given the elevated volatility and the market’s sensitivity to headlines, I’ve generally preferred to stay selective and, at times, remain on the sidelines observing rather than forcing exposure.
Short-Term
S&P500

This chart applies the same methodology as the previous one, using retracement levels from significant highs and extension levels from prior significant lows, alongside my own reference support and resistance areas. The key difference is presentation: rather than plotting individual lines, these levels are aggregated into a heat map. Where multiple support or resistance levels cluster, the band becomes thicker and more intensely colored, highlighting zones of higher technical relevance.

This chart displays a heat map of potential support and resistance levels derived from open interest in SPX options. The analysis takes into account various option characteristics, including expiration dates, moneyness, and strike distributions. The specific parameters and selection criteria have been determined at the author’s discretion and are not disclosed.
It’s worth noting that a significant portion of open interest—particularly in out-of-the-money puts below the current market price—is often used as part of hedging strategies by institutional participants and market makers. While these levels can act as potential areas of support or resistance, they should be interpreted as context rather than certainty, as not all open interest reflects directional intent.
VIX

For the VIX, I primarily focus on trendlines and channels, using closing or opening prices rather than highs or lows. I avoid indicators — the VIX tends to respect structure more than signals. The colored levels on my chart are straightforward: they serve as both support/resistance zones and trigger levels, depending on price behavior.
Summary
Long-Term View
Both the Decennial Pattern and long-term historical trends suggest that 2026 may prove positive for equities, although likely with more moderate gains than the exceptional performance seen in 2025. While returns may temper, the broader backdrop remains constructive for long-term investors, supported in part by the Kitchin Cycle, which continues to imply a mild upside bias and a gradual underlying strength.
That said, 2026 is also a U.S. midterm election year—historically a period associated with elevated uncertainty and episodic market weakness, particularly during the first half of the year. This tendency aligns with the current outlook, which anticipated early-January softness, a mid-month pullback, and a recovery phase that could extend through much of the first quarter.
The January Barometer signal for 2026 is now in place, and the current read points to a largely sideways market through July, followed by a potentially significant decline, and then a meaningful recovery into year-end. If this sideways phase develops as expected, opportunities may still emerge between February and July; however, the January Barometer will be used primarily as a “thermometer” in conjunction with other indicators, rather than as a standalone directional tool.
Mid-Term View
Seasonal and monthly-performance data suggest February has historically been a less supportive month, often delivering only marginal returns and closing higher only slightly more than half the time (roughly 53%, with an average near -0.2% in the dataset referenced). More broadly, seasonality tends to indicate a firmer start to the month, followed by an increased probability of weakness around mid-February, which fits the typical pattern of early-month optimism giving way to profit-taking and rotation.
From the cycle perspective, since entering the DJU “declining” segment in early January, price action has increasingly expressed itself through sideways movement and repeated sell attempts that were quickly bought, rather than a clean directional decline. As we transition into February, the DJU profile appears more sideways than decisively bearish, which could support either continued consolidation or short-lived upside swings—but still within a market that lacks sustained trend conditions.
There is little to highlight on the SPXEW versus S&P 500 relationship: no meaningful divergence and no distinct pattern that materially changes the broader read. Meanwhile, the relative-strength picture between XBD and XLP remains mixed, with the lines diverging in a way that suggests rotation rather than leadership—i.e., an environment where signals are less cohesive and directional conviction is harder to extract.
Finally, forecasts continue to point to a choppy start to February into roughly mid-month (around the 12th). In practical terms, this implies that opportunities may appear, but they are more likely to be tactical and selective rather than trend-driven—requiring patience, tighter risk controls, and confirmation rather than anticipation.
Short-Term View
What stands out is that price is currently trading against a major cluster of overhead resistance. In my view, a clean breakout through this zone is unlikely without a meaningful catalyst, and this aligns with the monthly forecast framework, which continues to suggest a sideways and choppy start to the month rather than an immediate directional expansion.
The narrow banding in the OI heat map reinforces that interpretation. Positioning remains concentrated within a tight range, which typically supports continued consolidation until a catalyst or positioning shift forces a break. At this stage, the timing of that resolution is not yet clear.
On volatility, the VIX trendline continues to hold, reflecting a gradual increase in investor caution as the market remains range-bound. I have also drawn a descending trendline across the two recent volatility peaks. A decisive break of these trendlines—paired with clearer, confirmatory signals from price action and broader market internals—could provide a more actionable entry framework. That said, any setup emerging from such a break would still be better viewed as a tactical opportunity rather than something that can be characterized as a longer-term, investment-grade positioning at this point.
What’s Ahead
Earnings season remains the dominant catalyst, with results and guidance likely to drive day-to-day sentiment and sector rotation. Structurally, the week is relatively “clean,” with no options expirations and no market holidays expected to distort liquidity or trading rhythms. That said, end-of-month inflows and outflows may still influence price action, particularly early in the week, as portfolios rebalance and residual positioning adjustments work through the tape.
EVENTS
- 03rd February 2026 15:00UTC JOLTs Job Openings
- 05th February 2026 13:30UTC Initial Jobless Claims
- 06th February 2026 13:30UTC Unemployment Rate
Outlook & Expectations
Talking about next week: if you rely on oscillators, the message is broadly the same across most timeframes. On shorter horizons, signals have been swinging between the mid-range and upper band; on higher timeframes, they look flat, choppy, and largely stuck around the midpoint. ATR and directional-movement style indicators tell a similar story—lines tangled together, repeatedly crossing, and at times compressing in a way that resembles a “formation flight.” The interpretation is straightforward: there is no clear trend.
We did in fact spend the week rotating between two previously identified OI levels, with no sustained trend developing. What stood out, however, was the market’s behavior on Thursday and Friday: both sell-off attempts were absorbed quickly, and the more meaningful buying appeared later in the session, particularly after the midday lull. There are several plausible explanations for this type of intraday pattern— What’s your interpretation of the late-day bid?
Heading into next week, the message remains unchanged: no clear directional edge, but a more defined “playground” is forming. I would start paying closer attention if we see tangible confirmation through one of the following: XLP and XBD aligning more consistently in the same direction, a clean break above the overhead resistance cluster, a decisive move through an OI-defined support/resistance band, or a breakout from the two VIX trendlines. Until one of those conditions is met, I’m comfortable staying on the sidelines and treating moves as range behavior rather than the start of something durable.
Forecasts continue to suggest back-and-forth price action contained within 7,024 (resistance) and 6,851 (support). A daily close above resistance or below support would be the first development likely to shift my attention from observation to action; otherwise, the base case remains consolidation. The next DOI to monitor is February 12.
If this article sparked a brain cell or two, you can say ‘Thanks’—ideally while caffeinating and pretending you’ve got this whole Market thing figured out. Consider buying me a coffee. It keeps this site running and caffeine flowing!
