Concept

Ratio/spread Charts

Ratio/spread Charts, also known as synthetic pairs, are Meta & Composition concepts.

What are Ratio/spread Charts?

A ratio or spread chart replaces a single instrument's price with a synthetic series built from two: a ratio divides one price by another (the gold/silver ratio, a sector ETF over its index, an altcoin-cap index over ETH), while a spread subtracts one leg from the other, often weighted by contract multipliers or a hedge ratio, as in futures calendar and crack spreads. The result is charted and analyzed like any ordinary series, which is why the transform is sometimes called a synthetic pair. A rising ratio means the numerator is outperforming the denominator; a spread expresses the same relationship in absolute price units.

The point of the transform is what it removes. Dividing or differencing two related instruments nets out much of the market direction they share, leaving relative value: which leg is stronger, and whether the relationship is stretched against its own history. That makes these charts the raw material for relative-strength rotation and for pairs trading. One honest caveat: a stretched spread is under no obligation to snap back. Reversion is a hypothesis that needs statistical support (cointegration rather than correlation alone) and a defined invalidation, because relationships between instruments can break permanently.

Construction is half the craft. Platforms build the series either from arithmetic typed into the symbol field or from an indicator that requests the second instrument's data, the simplest case of cross-instrument composition; one leg can even be a basket rather than a single symbol. Weights matter: futures spreads apply contract multipliers so both legs sit in comparable dollar terms, and statistical pairs estimate a hedge ratio so the spread isolates relative value instead of size mismatch. Rendering matters too. The chart scale should fit the series (log suits ratios, linear suits spreads), the result can be displayed as candles or alternative bar types, and synthetic candles inherit their shape from two feeds whose ticks are not simultaneous, so intrabar extremes are approximations even when closes are exact.

The lineage is as old as organized futures trading. Calendar spreads in grains, the soybean crush, and the crack spread between crude oil and refined products are all spread charts with commercial meaning, and exchanges commonly grant margin offsets to recognized futures spreads because the combined position carries less outright risk than either leg alone. The gold/silver ratio has been tracked for centuries. What the modern charting stack adds is convenience: any trader can now build, backtest, and monitor a synthetic series that once required a spreadsheet.

How to build and read a ratio or spread chart

The construction determines what the chart can honestly tell you.

  1. 1Enter the arithmetic in the symbol field: SYM1/SYM2 for a ratio, SYM1-SYM2 for a spread, with multipliers where contract sizes differ (for example, weighting futures legs by their point values).
  2. 2Normalize before judging stretch: a z-score against a rolling mean and standard deviation, or a percentile of the series' own history, turns 'looks high' into a measurable statement.
  3. 3Classify the series' behavior by applying a trend/range read to the spread itself, because fading a spread that is trending on a structural change is the classic pairs-trading failure.
  4. 4Check both legs outright before executing, since a spread signal can be driven entirely by one leg's idiosyncratic news, which changes how, and whether, to trade it.

How it's calculated

A synthetic series built by dividing or differencing two instruments' prices so their relative performance can be charted as a single symbol.

Ratiot=PA,tPB,t\operatorname{Ratio}_t = \frac{P_{A,t}}{P_{B,t}}
Spreadt=mA×PA,tmB×PB,t\operatorname{Spread}_t = m_A \times P_{A,t} - m_B \times P_{B,t}
P_A,t: price of instrument A at time t
P_B,t: price of instrument B at time t
Ratio_t: ratio (relative strength) value at time t
Spread_t: spread value at time t
m_A: multiplier or hedge weight applied to A (default 1)
m_B: multiplier or hedge weight applied to B (default 1)
t: bar timestamp shared by both series

Bars are joined on common timestamps, so a bar missing from either leg is dropped.

Charting platforms apply the expression to each OHLC field to build synthetic candles; futures spreads usually set m_A and m_B from contract point values or a hedge ratio.

A rising ratio means A is outperforming B, regardless of whether both are rising or falling.

How traders use it

  • As a relative-strength lens: charting sector/index or altcoin-basket/ETH ratios shows which leg is leading, so exposure can be rotated toward the stronger side instead of being judged from two separate charts.
  • As the traded series in pairs and spread strategies: the spread between two related instruments is tracked, often normalized as a z-score against its rolling mean and standard deviation, and faded at extremes only when the relationship has held historically.
  • As regime context: macro ratios such as stocks versus bonds, high-beta versus defensive sectors, or gold/silver act as risk-appetite gauges that inform bias on outright positions rather than being traded themselves.
  • As alert infrastructure: since the synthetic series is a first-class chart, alerts and webhooks can fire on its levels, z-score thresholds, or indicator readings, so a stretched relationship pings the trader instead of demanding manual monitoring.
  • As one input among several: ratio readings slot into top-down analysis and confluence scoring as regime evidence, one weighted column rather than a standalone trigger.

Ratio/spread charts vs. related constructions

Custom Indices/baskets: Baskets merge many instruments into one synthetic index, usually a weighted sum meant to represent a theme. Ratio/spread charts relate exactly two legs to each other, though a basket can serve as one of those legs, as altcoin-index/ETH ratios show.

Composite Oscillators: A composite oscillator blends several indicators computed on one instrument. A ratio/spread chart blends several instruments into one price series and only then applies indicators, so the synthesis happens at the data layer rather than the signal layer.

Heikin Ashi: Both replace raw candles with a transformed series, but Heikin Ashi re-averages one instrument's bars to smooth its trend, while ratio/spread charts combine two instruments to change the question entirely, from which way price is going to which leg is winning.

Concept family

Meta & Composition

28 concepts mapped · 28 in the Library

Ratio/spread Charts FAQ

What is the difference between a ratio chart and a spread chart?

A ratio divides one price by the other, so it is unitless and comparable across very different price scales; a spread subtracts one leg from the other, often with multiplier or hedge-ratio weights, and reads in price units. Ratios suit relative-performance questions; spreads are the convention in futures, where the difference itself is quoted and traded.

Do ratio and spread charts always mean revert?

No. A spread can trend for years when one leg structurally outperforms, and historically correlated pairs can decouple for good after a fundamental change. Reversion is only a reasonable base case when the relationship is statistically stable, which is why pairs traders test for cointegration and cap risk with a stop or time limit rather than averaging into a widening spread.

What is a hedge ratio and why weight the legs?

A hedge ratio scales one leg so both sides carry comparable exposure, keeping the spread a statement about relative value instead of position size. Futures traders get part of the way with contract multipliers; statistical pairs estimate the ratio from regression. The estimate drifts as volatility and relationships change, so serious spread traders re-estimate it periodically.

What is cointegration, and why do pairs traders care?

Cointegration means some weighted combination of two non-stationary price series is itself stationary, so the spread has historically pulled back toward an equilibrium. It is the statistical justification for fading extremes, and it is stronger evidence than correlation, which only says the legs move together day to day. It is also a property of the past; a structural change can end it, which is why stops and time limits still apply.

Are the candles on a synthetic chart accurate?

Closes are, since they combine simultaneous end-of-bar prices. Intrabar highs and lows are approximations, because the two legs' extremes rarely occur at the same moment. That is fine for analysis and most alerts, but backtests that depend on precise intrabar fills on a synthetic series deserve the same skepticism as any other signal hygiene issue.

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