simulated. no real money. no real trades.
data: live database, read-onlyPeriod (reference closes): to .
$1,000 split equally across BTC, ETH and SOL on the first live call, following every UP and DOWN call since then. Each trade is entered at the 1h close when the call is made and exited at the close 12h later, with 0.1% fees on the way in and on the way out, no leverage and one open trade per coin. Shorts assume a derivatives account; spot traders can only act on UP calls, so that version is shown too.
Three fixed sleeves of $333.33, never rebalanced; each trade uses its whole sleeve and compounds; one open trade per coin, later signals on that coin are skipped; shorts return minus the move with no borrow or funding cost; values are realized at exit with no mark-to-market. Hold-BTC uses the same reference closes from the first to the latest receipt.
Forecast-grading prices: entry at the reference close the forecast was computed from. That close was already in the past when the receipt was stored, so these are not fills anyone could have got.
Sum of individual trade returns: +1.90% (not the same thing). Signals skipped because that coin already had an open trade: 8.
Rule exec-v1: entry at the close of the first 1h candle closing after the receipt was stored; exit at the close h hours later. Fees as above; slippage not added. 0 call(s) unavailable because the needed candles are outside the 90-day cache; they are left out, not filled at an earlier price.
Sum of individual trade returns: +2.29% (not the same thing). Signals skipped because that coin already had an open trade: 8.
Scenarios only. The published figure above uses 0.2% round trip and does not change.
| 0.10% round trip | +0.74% |
| 0.20% round trip (published) | +0.64% |
| 0.20% + 0.05% slippage per side | +0.53% |
| 0.30% + 0.10% slippage per side | +0.33% |
What a spot-only trader could actually have done.
Sum of individual trade returns: +1.44% (not the same thing). Signals skipped because that coin already had an open trade: 0.
Not financial advice. Crypto is unregulated and can be highly risky. Predictions are probabilistic and often wrong. Simulated results ignore slippage, funding costs and taxes.