Hit Ratio - Parallax API

Hit ratio measures what percentage of the time your portfolio outperformed its benchmark. It’s like a batting average in baseball - how often do you beat the market?

Beginner

What It Means

Hit ratio is simple: out of all the periods measured, what fraction of the time did your portfolio beat the benchmark?

Portfolio Example

Over 12 months, your portfolio beat the S&P 500 in 8 months and underperformed in 4 months. Hit Ratio = 8/12 = 67% You outperformed two-thirds of the time.

Interpretation

Hit Ratio	Interpretation
50%	Random / no skill (coin flip)
55-60%	Some consistency
60-65%	Good consistency
65-70%	Very consistent
Above 70%	Exceptional (rare)

Why It Matters

Hit ratio shows consistency. You can have high returns but low hit ratio (few big wins, many small losses) or high hit ratio but moderate returns (many small wins). Both patterns can work, but they feel very different to live through.

Advanced

Mathematical Definition

Hit Ratio = (Periods where Rp > Rb) / Total Periods

Where:
- Rp = Portfolio return in period
- Rb = Benchmark return in period

Hit Ratio vs. Magnitude

Critical Insight: Hit ratio ignores the size of wins and losses.

Strategy	Hit Ratio	Avg Win	Avg Loss	Net Result
Strategy A	70%	+0.5%	-1.5%	Negative
Strategy B	40%	+3.0%	-1.0%	Positive

Strategy B is better despite lower hit ratio because wins are much larger than losses.

Strategy Profiles

Different strategies have characteristic hit ratios:

Strategy Type	Typical Hit Ratio	Profile
Momentum	45-55%	Few large wins, small losses
Mean Reversion	60-70%	Many small wins, occasional large loss
Value	50-60%	Moderate wins and losses
Trend Following	35-45%	Large wins, many small losses

Relationship to Information Ratio

High IR can come from:
1. High hit ratio with moderate-sized wins
2. Low hit ratio with very large wins
3. Combination of both

IR ≈ (2 × Hit Ratio - 1) × Win/Loss Magnitude Ratio

Psychological Impact

Hit ratio matters for investor psychology. A strategy with 40% hit ratio may be profitable but feels like constant failure. A 65% hit ratio strategy feels successful even if total returns are similar.

Behavioral Considerations:

Low hit ratio strategies are harder to stick with
Long losing streaks erode confidence
Investors often abandon good strategies at the worst time

Statistical Significance

Hit ratio estimates require sufficient data:

Hit Ratio	Periods Needed	For 95% Confidence
55%	100+	Distinguish from random
60%	50+	Reasonably confident
70%	25+	Clearly non-random

Short-term hit ratios are noisy. A 70% hit ratio over 10 months could easily be luck. You need years of data for reliable estimates.

Data Requirements

Requirement	Details
Minimum	24 months for basic estimate
Preferred	60+ months for stable measurement
Consideration	More periods needed when hit ratio is near 50%

Combining with Other Metrics

Metric	What It Adds
Gain/Loss Ratio	Average win size / Average loss size
Profit Factor	Gross profits / Gross losses
Information Ratio	Incorporates both frequency and magnitude

Information Ratio

Combines frequency and magnitude

Alpha

What hit ratio helps generate

Information Coefficient

Related skill measure

​Beginner

​What It Means

​Portfolio Example

​Interpretation

​Why It Matters

​Advanced

​Mathematical Definition

​Hit Ratio vs. Magnitude

​Strategy Profiles

​Relationship to Information Ratio

​Psychological Impact

​Statistical Significance

​Data Requirements

​Combining with Other Metrics

​Related Terms

Information Ratio

Alpha

Information Coefficient

Beginner

What It Means

Portfolio Example

Interpretation

Why It Matters

Advanced

Mathematical Definition

Hit Ratio vs. Magnitude

Strategy Profiles

Relationship to Information Ratio

Psychological Impact

Statistical Significance

Data Requirements

Combining with Other Metrics

Related Terms