Treynor Ratio

Treynor ratio measures how much excess return a portfolio earns per unit of systematic (market) risk, using portfolio beta as the risk denominator rather than standard deviation. Developed by Jack Treynor in 1965, it answers a specific question: are you being adequately compensated for the market exposure you’re carrying? For swing traders holding diversified stock portfolios, Treynor is the more precise risk metric because it ignores diversifiable noise and focuses only on the risk that cannot be eliminated through diversification.

Formula & Calculation

Treynor Ratio = (Rp − Rf) / βp

Where:

• Rp = Annualized portfolio return
• Rf = Risk-free rate (90-day T-bill yield; approximately 4.3–4.5% in early 2026)
• βp = Weighted-average portfolio beta

To calculate: subtract the current T-bill rate from your annualized return to get excess return, then divide by your portfolio beta. A beta of 1.0 means the portfolio moves in line with the S&P 500; a beta of 1.3 means it is 30% more volatile than the market. The higher your beta, the more excess return is required to hold the Treynor steady.

Portfolio beta calculation: multiply each position’s individual beta by its percentage weight in the portfolio and sum the results. A portfolio split equally among AAPL (β≈1.2), JPM (β≈1.1), and PG (β≈0.5) has a blended beta of (0.333 × 1.2) + (0.333 × 1.1) + (0.333 × 0.5) = 0.93. Individual betas are available free via Finviz or Yahoo Finance.

Benchmarks

Level	Range	What It Means
Excellent	above 0.15	Exceptional excess return per unit of systematic risk — significantly outpacing the market
Good	0.08 – 0.15	Beating the historical market Treynor of 0.05–0.07; solid risk-adjusted outperformance
Average	0.05 – 0.08	Roughly in line with the long-run S&P 500 benchmark
Below Average	0.00 – 0.05	Underperforming the market on a systematic-risk-adjusted basis despite positive returns
Poor	below 0.00	Negative excess return — the portfolio is not compensating for the beta it carries

The S&P 500’s long-run Treynor sits at roughly 0.05–0.07, based on average annual returns near 10% and historical T-bill rates of 3–5%. Beating that benchmark is the minimum bar for active management to justify its complexity.

Practical Example

A swing trader holds a 12-stock diversified portfolio worth $100,000. Over the past year the portfolio returned 18%. The weighted-average beta across all 12 positions is 1.3, reflecting a tilt toward technology names. The 90-day T-bill rate is 4.5%.

Treynor (portfolio): (0.18 − 0.045) / 1.3 = 0.135 / 1.3 = 0.104

Over the same period, the S&P 500 returned 12%. Its beta is always 1.0 by definition.

Treynor (market benchmark): (0.12 − 0.045) / 1.0 = 0.075

The trader’s Treynor of 0.104 beats the market’s 0.075 — per unit of systematic risk, the portfolio outperformed the index.

For comparison, using the Sharpe ratio: the portfolio’s annualized standard deviation was 22% versus the SPY’s 15%. Sharpe (portfolio) = 0.135 / 0.22 = 0.61. Sharpe (SPY) = 0.075 / 0.15 = 0.50. The portfolio still wins on Sharpe, but the margin is narrower because Sharpe penalizes the extra volatility that came with the tech tilt. With 12 diversified positions, that extra volatility is largely diversifiable — which is exactly why Treynor gives a fairer read here.

How to Track Treynor Ratio

1. Record individual betas at trade entry — Pull each position’s beta from Finviz or Yahoo Finance when you open the trade and log it alongside your entry price. Common reference betas: SPY = 1.00, QQQ ≈ 1.20, GLD ≈ 0.05, TLT ≈ −0.30, TSLA ≈ 1.8–2.2.
2. Calculate weighted-average portfolio beta — At each review period, multiply each open position’s current beta by its weight (position value / total portfolio value) and sum. Update this whenever position weights shift materially.
3. Annualize your portfolio return — Use time-weighted return over the measurement period, scaled to annual. For a 6-month return of 9%, the annualized figure is approximately 18%.
4. Subtract the T-bill rate and divide by beta — Use the current 90-day T-bill yield as Rf. Divide the result by your weighted-average beta.
5. Compare to the market benchmark — Calculate (S&P 500 return − Rf) / 1.0 for the same period. Your Treynor should exceed this number to justify the active approach.

How to Improve Treynor Ratio

1. Eliminate high-beta positions with poor returns — A position with β = 2.0 must generate twice the excess return of a β = 1.0 position to contribute equally to Treynor. If a high-beta name isn’t delivering proportional returns, it is dragging the ratio down.
2. Add uncorrelated low-beta positions — Including assets like GLD (β≈0.05) or defensive consumer staples (β≈0.5) lowers portfolio beta without proportionally reducing returns if they have positive alpha, improving the ratio mechanically.
3. Cut losing trades earlier — Every trade generating a negative contribution to return reduces the numerator. Moving a stop to breakeven after hitting 1R on winning trades, while exiting losers at predefined levels, protects excess return directly.
4. Focus on setups with identifiable edge rather than beta exposure — Chasing high-beta momentum without edge simply increases the denominator. True alpha shows up in the numerator; market beta shows up in the denominator. The goal is to maximize numerator growth without inflating the denominator unnecessarily.

Common Mistakes

1. Applying Treynor to a concentrated portfolio — If you hold fewer than 6–8 uncorrelated positions, idiosyncratic (non-market) risk is a significant portion of your total risk. Treynor ignores this entirely, making it an overoptimistic metric for concentrated books. Use the Sharpe ratio or Sortino ratio instead.
2. Using a static beta for the whole year — Position weights change as prices move and as trades open and close. A portfolio that started January with a beta of 1.0 may end March at 1.4 if high-beta positions appreciated. Recalculate weighted beta each time you review performance.
3. Comparing Treynor across incompatible asset classes — Treynor is most meaningful when benchmarked against the correct market index. A portfolio of NQ futures should be benchmarked against the Nasdaq’s Treynor, not the S&P 500’s.
4. Ignoring negative-beta positions — If you hold TLT (β≈−0.30) as a hedge, it lowers your portfolio beta and mechanically raises Treynor even if TLT underperforms on its own. Be aware that hedging instruments affect the ratio’s denominator and can distort interpretation if not analyzed carefully.

How JournalPlus Calculates Treynor Ratio

JournalPlus calculates your Treynor ratio automatically from the trades logged in your journal. Once you record each position with its beta value, the analytics dashboard computes weighted-average portfolio beta, applies the current risk-free rate, and displays your Treynor alongside the Calmar ratio and Sharpe ratio for direct comparison. The performance charts let you filter by time period — monthly, quarterly, or custom — so you can track how your Treynor evolves as your portfolio composition changes. You can also export the underlying trade data to a spreadsheet if you want to run side-by-side Treynor vs. Sharpe comparisons for specific market regimes. For swing traders managing diversified equity portfolios, Treynor is the primary risk-adjusted metric surfaced in the dashboard summary view.