--- title: "Spent Output Profit Ratio (SOPR)" description: "SOPR compares the value, in dollars, of coins spent on-chain at the time they were spent with their value when they were created as outputs. A value above 1..." canonical: https://www.getswoopr.com/indicators/crypto/spent-output-profit-ratio/ source: "Swoopr Investment: https://www.getswoopr.com" --- ## Direct Answer > Spent Output Profit Ratio (SOPR) is an on-chain ratio comparing the fiat value of spent outputs when spent with their fiat value when created. A higher reading generally means coins moved on-chain are, on average, realizing profit when above 1; a lower reading generally means coins moved are realizing losses when below 1. The main limitation is that uTXO methodology does not map cleanly to exchange trades, taxes, or every holder’s economic intent. # Spent Output Profit Ratio (SOPR): Formula, Meaning, Signals, Examples and How to Use It ## How Is Spent Output Profit Ratio Calculated? SOPR compares the value, in dollars, of coins spent on-chain at the time they were spent with their value when they were created as outputs. A value above 1 means that coins moved that day were sold at a gain over their creation price, below 1 at a loss. **Formula:** `SOPR = sum(value of spent outputs at spend-date price) / sum(value of the same outputs at creation-date price)` **Inputs:** - Spent transaction outputs with their creation and spend timestamps - Coin price at the time each output was created - Coin price at the time each output was spent - Time window (daily or hourly) and any age filter a provider applies **Worked example.** If outputs spent today were worth 1,050 at spend time and 1,000 when created (illustrative USD millions), SOPR is 1.05. The inputs are illustrative numbers, not market data. **Reading it.** Above 1, coins moved on-chain were on average spent for more than they were created at, so realized profit; below 1, realized loss. The value of 1 is the dividing line, and analysts watch whether the series holds above it, falls below it, or reverts to it. **Limits.** It measures only coins that moved, which is a minority of supply on any day, and a move on-chain is not always a sale: transfers between a holder's own wallets are counted. It also cannot see the true purchase price or taxes. ## Indicator snapshot | Attribute | Value | | --- | --- | | Abbreviation | SOPR | | Category | Crypto | | Creator / origin | On-chain analytics metric | | Primary inputs | Spent output acquisition/spend values | | Common settings | Provider-specific; daily/hourly variants | | Output | Ratio/index/scalar | | Typical range | Ratio around 1 | | Primary purpose | Measure blockchain activity, holder behavior, derivatives positioning, or crypto market structure. | | Main limitation | UTXO methodology does not map cleanly to exchange trades, taxes, or every holder’s economic intent. | ## What is Spent Output Profit Ratio? Spent Output Profit Ratio is an on-chain ratio comparing the fiat value of spent outputs when spent with their fiat value when created. It should be treated as a transformation of observable market data, not as an independent source of truth. The useful question is not whether the indicator is “bullish” or “bearish” in isolation, but what specific market property it measures, which assumptions enter the calculation, and whether that information is already duplicated by another tool on the chart. For Swoopr, the canonical profile should separate definition, calculation, interpretation and decision use. That keeps readers from collapsing a descriptive metric into a trading strategy. An indicator can describe trend, momentum, volatility, participation, positioning or risk without providing a complete entry, exit, sizing or portfolio decision. ## What does it measure and why is it used? Measure blockchain activity, holder behavior, derivatives positioning, or crypto market structure. The practical value is repeatability: the same inputs and formula can be applied across a defined dataset, allowing users to compare readings through time or across instruments when the calculation convention is held constant. The calculation can still be misleading if the data source, session, adjustment method, smoothing rule or parameter set changes. Two platforms can legitimately report different readings while using different assumptions, so check which conventions a chart uses. ## Formula **SOPR = realized value at spend / value at creation for spent outputs** ### Calculation discipline 1. Fix the instrument, timeframe and session before computing the indicator. 2. Use one documented price/volume source and one corporate-action convention. 3. State every lookback, smoothing method and reset rule. 4. Handle missing data and zero denominators explicitly. 5. Reproduce at least one worked example from raw inputs during QA. 6. Compare the implementation with a second independent calculation before publication. ## How to read Spent Output Profit Ratio A higher reading generally means **coins moved on-chain are, on average, realizing profit when above 1**. A lower reading generally means **coins moved are realizing losses when below 1**. That interpretation is descriptive, not predictive. The same numerical state can lead to different outcomes in a strong trend, quiet range, event-driven gap or illiquid market. ### Bullish, bearish and neutral context A bullish interpretation is appropriate only when the reading lines up with the indicator's actual job. For a trend tool, that means direction or trend persistence; for a momentum tool, it means stronger upside momentum; for a volatility measure, “higher” is not bullish at all:it only means larger expected or realized movement. A generic bullish or bearish label therefore does not fit a direction-neutral indicator. A neutral state should be defined when the indicator does not provide enough evidence for its intended job. This is especially important for bounded oscillators near mid-range, volatility gauges near historical medians, or spread measures near long-run norms. ## Common settings The common reference is **Provider-specific; daily/hourly variants**. This is a starting convention, not a universally optimal parameter. Shorter lookbacks generally respond faster and produce more state changes; longer lookbacks smooth noise but react later. Parameter selection should be tied to the intended decision horizon, then tested over multiple instruments and regimes rather than optimized to one historical period. ## Worked hypothetical interpretation Suppose a researcher calculates Spent Output Profit Ratio with the documented settings across a liquid security and observes a material change in the reading. The first step is to state what changed in the underlying input. The second is to ask whether price structure, volume, volatility or the benchmark environment confirms that interpretation. The third is to define what observation would invalidate it. Only after those steps should the indicator feed a strategy rule. This sequence prevents a common error: treating the indicator output as if it arrived independently of the price, volume, options or market data used to calculate it. ## Best and weak market conditions Spent Output Profit Ratio (SOPR) is most useful when the market property it measures is actually relevant to the decision. It is weakest when the regime changes faster than the lookback, the market is illiquid, the input data are incomplete, or the chosen parameter set is mismatched to the timeframe. A trend indicator tends to struggle in ranges; a mean-reversion oscillator can remain extreme during persistent trends; volume-based measures can break when venue coverage changes; options and on-chain measures can be provider-specific. ## Strengths - Pairing each output with its own creation price gives a measure of realized profit or loss that is not tied to one fixed lookback window. - The break-even level of 1 is built into the ratio, so profit-taking and loss-taking can be separated without choosing a threshold. - Reproducible when the formula and data convention are fixed. ## Weaknesses and false signals - UTXO methodology does not map cleanly to exchange trades, taxes, or every holder’s economic intent. - Parameter changes can alter timing and classification. - Correlated indicators can create false confidence by repeating the same underlying information. - Historical relationships can fail after market structure or volatility regimes change. - Backtests can be overstated by look-ahead bias, survivorship bias, unrealistic fills or omitted transaction costs. ## Combining Spent Output Profit Ratio with other indicators The strongest combination usually pairs different input families rather than similar formulas. Before adding another indicator, identify the specific error it is supposed to catch and measure how often the two signals disagree. High agreement between two price-only oscillators is not necessarily confirmation; it can be arithmetic redundancy. Related entities for this profile include: Futures Open Interest, MVRV Z-Score, Market Value to Realized Value Ratio, Perpetual Funding Rate, Active Addresses, Bitcoin Dominance. ## When not to use it Do not use Spent Output Profit Ratio as a standalone forecast or as a substitute for position sizing, liquidity checks, execution planning or fundamental research when those are relevant to the decision. Avoid publishing “best settings” without a defined asset universe, timeframe, cost model and out-of-sample validation. If the indicator depends on proprietary or provider-specific methodology, the provider's own documentation is the authority on how it is calculated. ## Practical checklist - [ ] What exact question is the indicator answering? - [ ] What data series, session and adjustments are used? - [ ] What parameters and smoothing rules are fixed? - [ ] Is the indicator bounded, unbounded or price-denominated? - [ ] Does a second indicator add independent information? - [ ] What market regime is present? - [ ] What would invalidate the interpretation? - [ ] Have slippage, costs and execution constraints been considered? - [ ] Has the calculation been independently reproduced? ## Frequently asked questions ### Is Spent Output Profit Ratio a buy or sell signal? No. It is an analytical measure. A trade still needs a hypothesis, trigger, invalidation rule, position size, exit logic and realistic execution assumptions. ### What is the best setting for Spent Output Profit Ratio? There is no universal best setting. Start with the conventional reference (Provider-specific; daily/hourly variants) and test nearby values across instruments, regimes and out-of-sample periods. Favor stable parameter regions over one historical winner. ### Can Spent Output Profit Ratio be used by itself? It can describe its specific market property by itself, but using it alone generally leaves other important dimensions:direction, regime, participation, valuation, liquidity or risk:undefined. ### Does Spent Output Profit Ratio work on every timeframe? The calculation may be portable, but behavior is not. A 14-period reading on a five-minute chart describes a very different market window from the same setting on a daily chart. Validate the exact timeframe. ### Why does Spent Output Profit Ratio give false signals? False signals arise from lag, noise, regime changes, parameter sensitivity, data conventions and the fact that market participants react to new information after the reading is calculated. ### How should Spent Output Profit Ratio be backtested? Write rules before testing, use point-in-time data, include delisted securities where relevant, model realistic fills and costs, reserve a validation sample, break results out by regime and compare with a simpler baseline. ## Related Swoopr content - Parent hub: [Crypto Indicators](https://www.getswoopr.com/indicators/crypto/) - Related indicators: Futures Open Interest, MVRV Z-Score, Market Value to Realized Value Ratio, Perpetual Funding Rate, Active Addresses, Bitcoin Dominance ## Sources and further reading - [Glassnode SOPR guide](https://docs.glassnode.com/guides-and-tutorials/metric-guides/sopr/sopr-spent-output-profit-ratio) ## Editorial and risk note This page is educational content, not individualized investment advice. It does not imply guaranteed prediction, accuracy or outperformance. ## Frequently Asked Questions Is Spent Output Profit Ratio a buy or sell signal? No. Above 1, coins moved on-chain were on average spent for more than they were created at, so realized profit; below 1, realized loss. It measures only coins that moved, which is a minority of supply on any day, and a move on-chain is not always a sale: transfers between a holder's own wallets are counted. A trade built on it still needs a trigger, an invalidation rule, a position size and realistic execution assumptions. What is the best setting for Spent Output Profit Ratio? Spent Output Profit Ratio takes these inputs: spent transaction outputs with their creation and spend timestamps; coin price at the time each output was created; coin price at the time each output was spent. There is no universal best setting for the tunable ones, so test them across instruments, regimes and out-of-sample periods and favor stable parameter regions over one historical winner. Can Spent Output Profit Ratio be used by itself? It measures only coins that moved, which is a minority of supply on any day, and a move on-chain is not always a sale: transfers between a holder's own wallets are counted. It also cannot see the true purchase price or taxes. For that reason it is read next to measures of direction, participation, valuation, liquidity and risk, not alone. Does Spent Output Profit Ratio work on every timeframe? The calculation (SOPR = sum(value of spent outputs at spend-date price) / sum(value of the same outputs at creation-date price)) can be run on any bar size, but behavior is not portable: a reading on a five-minute chart describes a very different market window from the same reading on a daily chart. Validate the exact timeframe before relying on it. Why does Spent Output Profit Ratio give false signals? Outputs created and spent within minutes or hours often reflect wallet housekeeping and not economic sales, so raw readings carry non-economic noise. Value weighting lets a few very large outputs decide the day's ratio, so a reading can reflect a small number of movers and not the whole market. Lag, noise and regime changes add to this, because market participants react to new information after the reading is calculated. How should Spent Output Profit Ratio be backtested? Rebuild Spent Output Profit Ratio from spent transaction outputs with their creation and spend timestamps using point-in-time data, write the rules before testing, include delisted securities where relevant, model realistic fills and costs, reserve a validation sample and compare with a simpler baseline. S Swoopr Editorial Team The Swoopr Editorial Team produces independent investment education, research, and tools for understanding markets, evaluating opportunities, and managing risk. All content is educational only and does not constitute personalized investment advice. See our [editorial policy](https://www.getswoopr.com/legal/editorial-policy/) and [corrections policy](https://www.getswoopr.com/legal/corrections-policy/).