Live · Operational•Last update: —

Tukuyomi

Proprietary arbitrage strategies that capture prediction market inefficiencies. Three independent strategies paper-trading 24/7. All figures are auto-aggregated from live operations.

Cumulative PnL

+$855.37

$9,760 staked · 976 settled

Total Bets

1,810

717 open

Uptime

Running continuously

System Status

Operational

105 edges detected (latest)

Strategy Performance

Three strategies running in parallel. PnL / ROI finalize after settlement.

Strategy A

Only high-confidence edges that pass strict quality filters. Noise-resistant.

PnL: +$223.34
ROI: +5.83%
Win Rate: 48.3%
Bets: 769 / 383 settled
$3,830 staked
W / L: 185 - 198
Open: 386

Strategy B

Bets on every detected edge equally. Baseline benchmark.

PnL: +$190.70
ROI: +4.98%
Win Rate: 49.09%
Bets: 665 / 383 settled
$3,830 staked
W / L: 188 - 195
Open: 282

Strategy C

Directional strategy mimicking proven betting patterns.

PnL: +$441.33
ROI: +21.02%
Win Rate: 52.38%
Bets: 376 / 210 settled
$2,100 staked
W / L: 110 - 100
Open: 166

Daily Activity

Last 30 days — placed bets and cumulative PnL

Strategy Design Philosophy

Why three strategies run in parallel

Structural inefficiencies exist in prediction markets, but no single strategy can capture them all. Tukuyomi runs three independent strategies simultaneously to compare their real-world performance in parallel. The differences in their results are the core data for market understanding and strategy selection.

Strategy A

Selective

Filter out noise and measure baseline win rate

Only edges that pass multiple quality indicators are selected for this strategy. A conservative benchmark designed to verify whether market inefficiencies truly exist where they appear.

Validation

Testing: win rate of curated edges, long-term stability, opportunity cost from over-filtering

Strategy B

Baseline

Observe every detected edge as-is

No quality filters applied — every detected edge receives an equal bet. This baseline captures the raw signal distribution of market inefficiencies. Comparing with A and C reveals where filtering adds value.

Validation

Testing: population distribution of detected edges, false positive rate, marginal utility of filtering

Strategy C

Mimic

Replicate advantages observed in public data

This strategy mimics the directional characteristics of proven betting patterns observed in publicly available data. Instead of independent judgment, it reflects the structure of existing success cases to reproduce their edge.

Validation

Testing: reproducibility of mimicked patterns, correlation with proprietary strategies, persistence of historical advantages

Specific filter thresholds, reference data sources, and implementation methods are not disclosed. This dashboard exists to publish the integrity of results — not to make the strategy logic reproducible.

Open Positions

717

active bets

+18.3%

avg edge

$7,170

total staked

sports covered

By Strategy

A327

B252

C138

By Sport

MLB255

NBA198

Tennis149

NHL89

Soccer26

Recent Scan Cycles

Live execution log — published as proof of operational integrity

Time (UTC)	Edges	Duration	Status
08:15	105	120.7s	OK
08:10	105	128.4s	OK
08:05	105	127.1s	OK
08:00	105	133.6s	OK
07:55	105	124.4s	OK