Our best predictors get the direction of the next hour right about 53 times out of 100. That is a real statistical edge, but a thin one. Here is what the figure means, and what it does not mean. These are general principles for information, not advice tailored to your situation.
With 47% wrong calls, runs of bad forecasts will certainly happen. Over 1,000 forecasts, the longest run of consecutive misses is typically 8 or 9.
| Share of capital at risk per position | After 10 losses in a row |
|---|---|
| 1% | 90% left (β10%) |
| 2% | 82% left (β18%) |
| 10% | 35% left (β65%) |
A 65% loss then needs a 186% gain just to break even. Professionals therefore generally limit the risk of each position to a small fraction of their capital.
The Kelly criterion computes the share of capital that maximizes long-term growth. With wins and losses of the same size, it equals win rate β loss rate: 53% β 47% = 6%. Many professionals use only a quarter of it (1.5%), because:
These figures illustrate a principle; they are not a sizing recommendation.
Over 10 or 100 forecasts, luck dominates: a 3-point edge only shows after hundreds or even thousands of hours. A good or a bad week proves nothing. That is why we show the number of hours next to every percentage.
| Friction | Effect | General good practice |
|---|---|---|
| Commissions and bid-ask spread | taken from every round trip | compare your platform's real fees |
| Slippage | filled at a worse price than shown | be wary of the minutes after major economic announcements |
| Delay | the forecast is for the current hour: acting late reduces its value | check the forecast time shown in the report |
Over one hour, a market's average move is often small: round-trip fees of the same size can cancel an edge of a few points.
The usual caution before committing money: observe first, then, if you do, start very small and only scale up if real results confirm the statistics.