SignalithMeasured Track Record
Solana · slot —
The ledger, not the pitch

Which calls actually paid off?

Anyone can screenshot a winner. Signalith does the opposite: it takes a fixed universe of Solana tokens, pins a single reference timestamp two weeks back, and measures what really happened from hour-by-hour on-chain price history — every winner and every loser, ranked by return, with the drawdown you'd have sat through on the way.

Window
—
reference → now
Signals tracked
—
fixed universe
Win rate
—
closed above entry
Median return
—
across the set
Best / worst
—
this window
#
Signal
Entry
Now
Return
Path since entry
Verdict

How the record is kept

The universe is fixed in the page source — nine liquid Solana tokens, chosen before any price was read, never swapped out to flatter the numbers. For each one we resolve its deepest pool on DexScreener, then pull ~14 days of hourly candles from GeckoTerminal. The oldest candle in that window is the entry; the newest is now. Return is simply what that round trip earned or lost.

Why the drawdown matters

A green return hides how far the position fell first. Max drawdown is the worst peak-to-trough drop over the window — the loss you'd have had to hold through to collect the final number. A signal can finish up and still have put you underwater by half. We show both, because a track record that only reports the finish line isn't a track record.

Measured from real on-chain price history. Past behaviour over one fixed window is not a forecast, and nothing here is advice to trade.