You sold in 2022. Why didn’t you buy back in 2023?

Look at your 2022 statement. You saw the red. Maybe you sold. It felt responsible. It felt like saving what was left.

Now look at 2023. The market ripped. But you didn’t buy back in. Not all at once. Maybe you waited for a dip that never came. Maybe you told yourself you’d wait until things felt “safe.”

By the time you moved money back, prices were well above where you sold. You locked in the loss and missed the recovery.

This is the trap. The standard warning against market timing says you have to be right twice: once to get out, and once to get back in. That is true. But it misses the real problem.

Getting out is easy. Fear does the work for you. When the news is terrible and your neighbor is panicking, selling feels like the only sane thing to do.

Getting back in is the hard part.

When the bottom arrives, the news is at its worst. The experts are predicting depression. Buying then feels like catching a falling knife. So you wait. You wait for the green shoots. You wait for the Fed to pivot. You wait for your own confidence to return.

By the time you feel ready, the bulk of the gain is gone. You aren’t timing the market. You are frozen in cash.

The rule doesn’t care how you feel

Kairos writes down the second call as well as the first.

It does not rely on your courage. It does not rely on a gut feeling that “this time is different.” It relies on five public data points scored every single trading day at 3:50 PM ET.

These five checks measure the health of the market plumbing, not just the price:

• Credit spreads: Are companies paying more to borrow?
• VIX term structure: Is immediate protection costing more than long-term protection?
• Market breadth: Are most stocks rising, or just a few giants propping up the index?
• Index momentum: Is the trend actually intact?
• Tech vs utilities: Is money leaving growth for safety?

When the score is healthy, the model holds Nasdaq exposure. When the score turns fragile, it moves 100% to short-term U.S. T-bills.

Here is the critical part: When the score turns healthy again, the model buys back in. Automatically.

It does not wait for you to feel better. It does not wait for the news to improve. It does not care that you sold at 100 and are angry about buying back at 103. It simply executes the instruction written in advance.

In the out-of-sample record from 2020 through 2026, this process generated about 11 trades a year. The model was in the market 59% of the time. It stepped aside when the checks read fragile, and stepped back in when they read healthy again, whether or not you were watching.

The bill for safety comes due

A written rule removes panic. It does not remove error.

If you are looking for a system that never makes a mistake, stop reading. This system makes mistakes. Specifically, it suffers from whipsaw.

Whipsaw happens when the rule tells you to sell, the market dips slightly, and then immediately rips higher. You sold at 100. The market drops to 97 (looking smart). Then it jumps to 103. The rule buys you back in.

You are now down 3% plus commissions, while a buy-and-hold investor is up. Nothing broke. The software worked perfectly. The market just changed its mind.

In the 2020–2026 model record, 72% of trades were winners. That means 28% were not. You must accept that more than one trade in four will feel like a mistake in real time.

There is a heavier cost than whipsaw: Lag.

In a strong, steady bull market with no significant pullbacks, this strategy can lag badly.

Look at 2025. SPY gained roughly 18%. The Kairos model returned +3%. The source deck calls it a “steady no-pullback grind,” and says the same defenses that hurt in 2025 delivered +8% in 2022. We won’t invent causes beyond that.

If you cannot stomach watching the index make 18% while you make 3%, this approach is not for you. You do not get the protection of 2022 (+8% vs SPY -18%) without accepting the drag of 2025. That is the contract.

Why five checks instead of one?

You might wonder why we don’t just use a simple price rule. Sell if the S&P drops 10%. Buy if it rises 10%.

Price is noisy. In a choppy market, a price-only rule gets flogged. It sells on a scare, buys on a bounce, sells on a hiccup. You bleed capital on the turnaround costs.

The five checks look under the hood. Stress can show up in credit and volatility markets, and in how many stocks are participating, not just in the headline price. Scoring several measures together is meant to keep the rule from reacting to every daily wiggle.

Does this make it perfect? No. As 2025 showed, caution has a cost, and in some years it looks like incompetence. Signals can also be late or wrong.

But consider the alternative. The alternative is you, staring at a screen in March 2020 or October 2022, knowing logically you should buy, but physically unable to press the button.

The track record is hypothetical. The behavior is real.

Let’s be precise about what the numbers represent. The performance figures cited here—40.6% annualized over the 2020–2026 window—are hypothetical out-of-sample model results.

They are not audited. They are not client accounts. They assume near-close execution, with commissions and slippage modeled.

Why show hypothetical numbers? Because the rules were finalized before this period began. We did not tune the knobs to fit the past. We set the rules, locked them, and ran them forward through the chaos of the pandemic, the inflation shock of 2022, and the grind of 2025.

Maxwell Hines, who designed the system after co-managing a $90B book in portfolio management at AllianceBernstein and trading his own futures capital, runs roughly 80% of his personal liquid equity in Kairos Enhanced. He sees the same whipsaws you would. He accepts the same lagging years.

He built it because of the wall he describes between how institutions manage risk and what individual investors are offered.

“When you’re inside an institution that size, you see exactly how the best money in the world is managed. You also see the wall, the one that keeps all of that away from everybody else who isn’t a pension fund or an endowment. I got tired of being inside of that wall.”

Is this for you?

This system is not for everyone.

Do not use Kairos if you believe you can time the market better than a rigid algorithm. Do not use it if you need to beat the S&P 500 every single calendar year. Do not use it if the thought of a 28% failure rate on individual trades keeps you awake.

Use it if you are tired of making permanent decisions based on temporary emotions. Use it if you want a chunk of your portfolio that operates on written rules, where the decision to re-enter is taken out of your hands entirely.

The software runs inside your own brokerage account. Kairos never takes custody. Never pools funds. If you decide the mechanism isn’t for you within the first 12 months, the fee is refunded in full. Not the losses—the fee. Because the only promise we make is that the rules will be followed.

See the full out-of-sample record for the complete year-by-year breakdown, including the ugly parts. Read how it works for the five checks and the guards around them.

Or, watch the market tomorrow at 3:50 PM ET. While others are guessing, the rule will be scoring. And if the score changes, the trade happens. Whether you are ready or not.

The short version

• The Trap: Investors easily sell in a crash but fail to buy back in, staying frozen in cash while the market recovers.
• The Fix: Kairos uses five specific market checks scored daily at 3:50 PM ET to automate both the exit and the re-entry, removing emotion from the second call.
• The Cost: The system is not perfect. It suffers whipsaws (being wrong twice in a row) and can lag badly in strong, steady bull markets (e.g., +3% vs +18% in 2025).
• The Record: Hypothetical out-of-sample model performance from 2020–2026 shows 40.6% annualized returns with 72% winning trades, but these are not audited client results.
• The Deal: Runs in your own brokerage account with no lock-ups. If unsatisfied within 12 months, the fee paid to Kairos is refunded in full. Not market losses.