Track record / methodology

/ implied_range_vol

Typical horizon: INTRADAY • Season 1 — all time

What it does

Reads the whole hourly ladder as an implied realized-range distribution (its mid-weighted mean move) and compares it to the empirical body distribution. When the ladder prices a wider range than history supports (vol rich) it buys the central bucket; when tighter (vol cheap) it buys the cheap wings — trading whichever region the realized-vs-implied vol ratio says is mispriced.

Key parameters

behavior-shaping settings only
min_edge 10
symbols ["BTC","ETH","SOL","XRP","DOGE"]

Live trading began 2026-08-30; paper record retained above. This strategy has not traded real money; its record below is paper (simulated).

Record (fee-inclusive, this season)

W–L
149–543
Open
0
Positions
692
Realized
$-19.45
Marked
$-19.45
Fees
$6.45

Calibration

predicted vs realized win rate, by confidence bucket
bucket 2 22 signals p̂ 0.18 → 0.05
bucket 3 250 signals p̂ 0.25 → 0.11
bucket 4 211 signals p̂ 0.35 → 0.19
bucket 5 93 signals p̂ 0.44 → 0.25
bucket 6 26 signals p̂ 0.54 → 0.35
bucket 7 17 signals p̂ 0.64 → 0.41
bucket 8 26 signals p̂ 0.75 → 0.54
bucket 9 42 signals p̂ 0.85 → 0.71
bucket 10 9 signals p̂ 0.92 → 1.0

Data quality policy

Every known gap in the market data behind these figures is disclosed publicly, with the dates, what was missing, which figures it may have affected and which it did not. Position and P&L records are never rewritten to paper over a gap; model-derived figures are recomputed once the input is restored, and gaps that cannot be recovered stay marked as such. The full list is on the track record under data quality notes.

This strategy trades off the public tape. 2026-08-30 → 2026-08-30: Live trading began 2026-08-30 (live) — it saw little or no flow in that window, so its signal count and record for those days reflect missing input, not a decision to sit out.

Caveats: All results shown are simulated (paper) trading performance, not actual trading, unless explicitly labeled live. Fees and slippage are modeled (Kalshi's taker fee formula plus 1¢ slippage), which cannot fully reflect real market impact or liquidity constraints. Past performance, simulated or actual, is not indicative of future results. Parameters shown are the current configuration and change over time as the strategy is tuned. Nothing on this page is investment advice — see the full disclaimer.