Research principle: an unusual dataset can support a testable hypothesis without establishing prediction or causation. Treat this strategy as an experiment.

The research idea

Powerball and Mega Millions jackpots can grow from routine amounts into national news. As the advertised prize rises, more people notice it, discuss it, and consider an extremely unlikely but very large payoff. That change in attention suggests an experimental question: do unusually large jackpots coincide with a broader change in speculative mood?

There are several possible stories. Large prizes may draw attention toward positively skewed payoffs—the small chance of an enormous gain. They may indicate greater willingness to spend on speculation. Or they may have no meaningful relationship with financial markets at all. A jackpot can become large simply because no ticket won the previous drawings.

TickRun’s Lottery Jackpot Fever strategy is built to test the observation, not to declare one story true. There is no established causal mechanism showing that lottery jackpots drive broad stock returns. Any historical association could be coincidence, seasonal behavior, changing game rules, or the result of testing many possible signals.

What should “lottery fever” measure?

Raw jackpot dollars are not directly comparable across time. A combined prize of $300 million may look large in one period and ordinary in another. Starting jackpots, drawing schedules, participation, inflation, and game design all change. An indicator needs a moving reference point.

TickRun combines the latest available advertised annuity estimate for Powerball with the latest for Mega Millions. It then compares that total with the median combined value from the preceding 365 calendar days. The median represents a typical recent level while resisting distortion from a few enormous jackpots.

The score uses a bounded symmetric percentage:

100 × (current combined jackpot − prior median) / (current combined jackpot + prior median)

A positive score means the combined jackpot is above its recent median. A negative score means it is below. Because both inputs are positive, the result stays between −100 and +100. The scale is not a probability and not the percentage by which the jackpot increased. It is a normalized comparison designed for stable thresholds.

The historical baseline contains only earlier values. TickRun requires at least 180 prior daily observations before producing the indicator, and the rolling baseline can use at most the preceding 365 days.

A simple example

Suppose the latest usable Powerball estimate is $400 million and the Mega Millions estimate is $200 million. Their combined value is $600 million. If the prior 365-day median is $200 million, the score is:

100 × (600 − 200) / (600 + 200) = 50

If the current combined value were $120 million against a $200 million median, the score would be −25. The formula treats an equally proportional move above and below the reference more symmetrically than a conventional percentage change, while avoiding an unbounded value when the reference is small.

Where the data comes from

The checked-in TickRun snapshot uses advertised annuity jackpot estimates from the Texas Lottery Powerball archive and Texas Lottery Mega Millions archive. Each saved record identifies its game, draw date, estimate in millions of dollars, and source page.

The annuity estimate is used consistently. It should not be mixed with the smaller cash-value option. Missing jackpot amounts are rejected rather than guessed. Both games must have a usable latest value before their combined series exists.

This is a saved research dataset, not a live lottery feed. Refreshing it requires running the project’s updater, reviewing the changes, and regenerating the browser data module. Reproducibility matters more than silently changing past backtests whenever a remote page changes.

The difficult part: when was a value knowable?

An advertised jackpot is normally public before its drawing, but the historical winning-number pages do not preserve a dependable timestamp showing exactly when every estimate first appeared. Using the value before its draw would require an assumption that the archive cannot verify.

TickRun therefore applies a conservative rule: a jackpot associated with draw date D becomes usable on D+1. Until then, the strategy retains the latest previously available estimate for that game. The baseline is shifted as well, so the current combined value is never included in its own prior median.

This delay sacrifices information that may really have been available earlier, but it prevents a more serious error: allowing an archived value to influence simulated trades before its documented date. The changed indicator can create a signal only after that availability rule, and TickRun’s position then affects the following close-to-close return.

Important limitation: the one-day delay is a conservative research convention, not proof of the archive’s original publication time. The article and strategy must preserve that distinction.

How the TickRun strategy behaves

The default strategy uses High fever mode with a low threshold of −20 and a high threshold of +20. It enters when the score reaches or exceeds +20 and exits when it reaches or falls below −20. Values between the two thresholds retain the current position.

The direction can be reversed. In low-fever mode, the strategy enters at or below the low threshold and exits at or above the high threshold. This is useful because the hypothesis does not establish whether high speculative attention should be favorable or unfavorable for stocks.

Separate entry and exit thresholds create a neutral zone. Without it, a score moving around one boundary could repeatedly switch the position. The width of that zone affects turnover, time invested, and sensitivity to small jackpot changes.

What else could explain a result?

Even a strong backtest would not prove that jackpot attention caused market returns. Several variables move alongside the series:

  • Game-rule changes: altered odds, drawing frequency, and minimum prizes change how jackpots accumulate.
  • Inflation: nominal prizes tend to become less exceptional over long periods.
  • Calendar patterns: jackpot cycles may overlap holidays, tax periods, or seasonal market behavior.
  • Media coverage: two prizes of equal size may receive very different attention.
  • Overlapping games: combining two lotteries smooths the signal but can hide differences in their audiences.
  • Multiple testing: an unusual strategy selected from many experiments can look successful by chance.

The indicator measures advertised prize size relative to its recent history. It does not directly measure ticket sales, search interest, household risk preference, or investor positioning. “Fever” is a convenient strategy name, not a clinical measurement of public psychology.

How to evaluate it responsibly

Begin with default thresholds and a realistic transaction cost. Check the indicator chart around several large jackpot cycles, verify the delayed availability, and inspect whether entries cluster in a small part of the sample. Compare high-fever and low-fever directions as competing exploratory hypotheses, not as two chances to declare victory.

Then vary thresholds modestly. A durable observation should not depend entirely on one precise pair. Inspect completed trades and the equity curve; one jackpot cycle can dominate a short history. Apply a signal delay and test different assets. Record how many configurations and directions were examined.

Most importantly, reserve later data. If thresholds are chosen after viewing the full history, performance on that same history is descriptive. It is not independent confirmation. A future period using a frozen rule provides more useful evidence.

Interesting does not mean predictive

Lottery jackpots are public, dated, intuitive, and strongly cyclical. Those qualities make them suitable for an experimental indicator. They do not make them a proven market signal.

The serious research question is not “Can we tell a story about jackpots and speculation?” We can. The question is whether a fixed, correctly timed measurement produces a stable relationship that survives costs, nearby settings, different assets, and genuinely later data. Until that evidence exists, Lottery Jackpot Fever remains an experiment.

Continue with the guide to signal timing, read about overfitting risk, or test Lottery Jackpot Fever in TickRun.