FYOS Documentation is synchronized to the current clean-core beta baseline.

Edge Reliability

How confident can you be in the projected returns?

Sort by edge reliability score

Definition

Edge Reliability is a confidence score estimating how likely an opportunity is to deliver its projected returns. It combines multiple factors:

Data quality
Rate stability
Historical accuracy
Current market conditions

Formula

R_{edge} = Q_{data} \times S_{rate} \times A_{hist} \times M_{cond}

Where each component is normalized 0-1:

$Q_{data}$ = Data quality score
$S_{rate}$ = Rate stability score
$A_{hist}$ = Historical accuracy of similar setups
$M_{cond}$ = Current market condition factor

Interpretation

Score	Reliability	Recommendation
70-100	High	High confidence, standard sizing
50-70	Moderate	Reasonable confidence, consider reduced size
30-50	Low	Uncertain projections, small positions only
0-30	Very Low	Data issues or extreme conditions, avoid

Components

Data Quality

Completeness of funding rate history
Consistency of exchange data feeds
Presence of required metrics

Rate Stability

Low volatility in recent rates
Consistent funding intervals
No anomalous rate spikes

Historical Accuracy

How well past projections matched outcomes
Based on similar market conditions
Exchange-specific accuracy tracking

Market Conditions

Overall market volatility
Correlation with BTC/ETH
Proximity to major events

Use in Decision Making

Combine edge reliability with survivable APR:

Survivable APR	Edge Reliability	Action
High	High	Strong opportunity
High	Low	Proceed with caution
Low	High	May not be worth it
Low	Low	Avoid

Related Metrics

Survivable APR — Expected returns
Half-life — Rate persistence
Crowding Risk — Competition level

Capacity Screener Metrics

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