Macro / G10 FX Weekly Monitor Print of 2 Oct 2026
Macro · G10 Currency Composite

G10 Institutional Activity

Ten currencies, five pillars, one ranking

Four G10 currencies clear the long threshold this week and one sits below the short line, which leaves a single tradeable pair at the extremes and a neutral middle that is telling you to do nothing. This monitor sets out the composite, the five inputs behind it, and the rules that turn a ranking into a position.

Monitor at a glance Weekly
Top ranked
AUD 72.1
Long bias
Bottom ranked
CHF 39.1
Short bias
Divergence
33.0 pts
AUD / CHF
Coverage
10 G10
5 pillars
PILLARS  5
LONG  AUD NOK EUR JPY
SHORT  CHF
FIT  MAE 0.46 pts
REVISION  v1.0
AUD composite
72.1
NOK composite
70.6
EUR composite
67.7
JPY composite
65.2
USD composite
63.1
CHF composite
39.1

01 — The scorecardTen currencies, one number each, and a band that decides whether the number is tradeable

This monitor ranks the ten G10 currencies on a single 0–100 composite, then converts that number into a tradeable bias. It is a relative-value instrument, not a forecast: the output is an ordering, and the useful information lives in the gaps between adjacent rows rather than in any one score.

Every score is a weighted average of five inputs read out of the currency’s own narrative — the central bank’s policy path, inflation against target, growth and the labour market, carry, and speculative positioning. The weights were recovered by fitting those inputs to the desk’s published scorecard, so this reconstruction reproduces the published numbers rather than approximating them: mean absolute error 0.46 points, and all ten bias bands reproduced exactly.

How to read the band

The band, not the score, is the trigger. 65 and above is a long bias, 44 and below a short bias, and the 45–64.9 middle is neutral — stand aside. That is why the US dollar at 63.1 is neutral while the Australian dollar at 72.1 is not, despite only nine points separating them.

G10 institutional activity scorecard · 2 October 2026
CurrencyScoreBiasGuidancePolicyInflationGrowthCarryPositioning
AUD72.1Long BiasHawk9076608065
NOK70.6Long BiasLean Hawk8883567855
EUR67.7Long BiasHawk8376526268
JPY65.2Long BiasHawk9077714035
USD63.1NeutralLean Hawk7662488250
GBP62.8NeutralLean Hawk7072507262
NZD57.5NeutralLean Hawk6258556252
SEK54.4NeutralLean Hawk6245584550
CAD54.2NeutralNeutral5852486055
CHF39.1Short BiasNeutral3538502545

A currency earns a long bias by clearing 65 on the composite, which in practice requires three of the five pillars above neutral and at least one of them well above it. Four clear that bar this week and only one sits below the short line, so the table is top-heavy: the tradeable structure is a single pair at the extremes, not a portfolio of them.

02 — Composite scoresFour currencies clear the long threshold; one clears the short line

The distribution is unusually compressed in the middle. Nine of ten currencies sit between 54.2 and 72.1 — a 17.9-point range — while the franc sits 15 points below the next weakest. That shape matters more than the level: a tight middle means the ranking between, say, the krona and the loonie is inside the model’s own error bar and should not be traded, while the gap between either of them and the franc is not.

Four currencies clear the long threshold and only the franc sits below the short line
Composite score · 0–100 · 10 G10 currencies · 2 October 2026
Long bias ≥ 65Neutral 45–64.9Short bias ≤ 44
0 25 50 75 100 LONG ≥ 65 SHORT ≤ 44 72.1 AUD LONG 70.6 NOK LONG 67.7 EUR LONG 65.2 JPY LONG 63.1 USD NEUTRAL 62.8 GBP NEUTRAL 57.5 NZD NEUTRAL 54.4 SEK NEUTRAL 54.2 CAD NEUTRAL 39.1 CHF SHORT COMPOSITE SCORE · 0 – 100 · 2 OCTOBER 2026
A weighted average of five narrative-derived pillars, fitted to the desk scorecard (mean absolute error 0.46 points, 10 of 10 bias bands reproduced). Green marks a long bias at 65 or above, red a short bias at 44 or below, cyan the neutral middle — the same up-is-green polarity carried by every other Farstar page, so a stronger currency reads as the up colour throughout the site. Source: Farstar model, 2 October 2026.

Three of the four long-bias currencies are there on policy and carry together: the RBA, Norges Bank and the ECB have all hiked into above-target inflation, and all three pay a positive rate. The yen is the exception and the most interesting row in the table. It scores 65.2 on the strength of policy normalisation and inflation, while its carry pillar sits at 40 — the second-lowest reading in the matrix — and its positioning pillar at 35. It is a long-bias currency that costs money to hold.

03 — Bias historyThe same side of the line has held for four consecutive prints

Bias in this framework is sticky by construction, because four of the five pillars move only when a central bank meets or a major data series prints. The history log shows the consequence: nine of ten currencies have been on the same side of the 50 line for all four prints in the window.

Bias is sticky: the same side of the line has held for four consecutive prints
Bias side per publication · 18 Sep – 2 Oct 2026
Long sideShort side
18 SEP 23 SEP 29 SEP 2 OCT USD EUR GBP JPY CHF CAD AUD NZD NOK SEK BIAS SIDE BY PUBLICATION · A DOT LEFT OF THE FADE IS A CONFIRMED PRINT
Each dot records which side of 50 the composite score sat on that day, not which bias band it fell into. The right-hand column is drawn faded because the 2 October print is the current, still-unconfirmed observation. Nine of ten currencies have held the same side of the line for the whole window; only the franc has been persistently negative, which is what makes it the funding leg rather than a rotation candidate. Source: Farstar model, 18 September – 2 October 2026.

The practical reading is that a band flip is an event worth acting on, not noise to be waited out. Because the underlying pillars change slowly, a currency that crosses 65 or 44 has usually had a genuine change in policy or inflation behind it. The corollary is equally important: a currency drifting inside the neutral band is telling you nothing, and the honest response is to do nothing.

04 — How the score is builtFive pillars, and weights that were fitted rather than assumed

The five pillars are not equally weighted, and the weights are the part of this model most worth understanding, because they determine what actually moves a ranking.

Growth and policy carry 55% of the composite between them
Fitted pillar weights · non-negative, sum to 100%
Weight of composite
0% 5% 10% 15% 20% 25% 30% GROWTH 29.7% POLICY 25.7% POSITIONING 17.6% CARRY 16.4% INFLATION 10.7% SHARE OF THE COMPOSITE · FITTED, NOT ASSUMED
Weights are recovered by fitting the five narrative-derived pillar scores to the desk’s published composite, subject to the weights being non-negative and summing to one. Growth and policy together carry 55% of the score, which is why a central-bank meeting moves a ranking more than a positioning print does. Positioning is the third-largest weight despite being the only input the desk reads contrarian at extremes. This is a reconstruction of the model, not the model itself.

Growth carries 29.7%, the largest single weight, which is initially counter-intuitive for a currency monitor. It is defensible: growth and the labour market are what give a central bank the option to hold rates high, so they gate the policy pillar rather than competing with it. Policy carries 25.7% and is the most immediate input — it is the only one that can reprice the whole curve in a single afternoon.

Positioning at 17.6% is the one input read contrarian at extremes, and it is deliberately the third-largest weight rather than a footnote. Carry at 16.4% is what separates a currency you can hold from one you can only rent. Inflation at 10.7% is the smallest weight, which surprises most readers and is worth stating plainly: on this model, an inflation print matters mainly through what it does to the policy path, not on its own.

A reconstruction, not the model

These weights are the least-squares fit of narrative-derived pillar scores to the published composite. They reproduce the published output closely, but they are not the desk’s actual coefficients and should be treated as a transparent approximation. Pillar scores themselves are analyst judgements read off the prose, so two readers working the same narrative can legitimately differ by several points on any single pillar.

05 — The pillar matrixWhere the ranking is actually decided

The matrix is the most useful single view in the monitor, because it shows the shape of a currency rather than its rank.

The carry column, not the policy column, separates the top of the table from the bottom
Pillar scores by currency · 0–100 · 2 October 2026
Pillar score (tint = intensity)
POLICY INFLATION GROWTH CARRY POSITIONING AUD 72.1 90 76 60 80 65 NOK 70.6 88 83 56 78 55 EUR 67.7 83 76 52 62 68 JPY 65.2 90 77 71 40 35 USD 63.1 76 62 48 82 50 GBP 62.8 70 72 50 72 62 NZD 57.5 62 58 55 62 52 SEK 54.4 62 45 58 45 50 CAD 54.2 58 52 48 60 55 CHF 39.1 35 38 50 25 45 PILLAR SCORES · 50 = NEUTRAL · TINT ENCODES INTENSITY SCORE
The five inputs behind every composite, on the same 0–100 scale where 50 is neutral. Read the rows for a currency’s shape and the columns for a regime. The clearest pattern is the carry column: it is the only input on which the yen (40) and the franc (25) sit below neutral, and it is the reason both score well below their policy pillars. Source: Farstar model, 2 October 2026.

Two readings stand out. First, the carry column is where the bottom of the table is decided: the yen at 40 and the franc at 25 are the only sub-neutral carry readings in the G10, and they are precisely the two currencies the model struggles to rank on policy grounds. The BoJ is normalising and the SNB is not easing, yet neither can be held cheaply, and the composite penalises that.

Second, the positioning column is the only one that is not monotone with rank. The euro scores 68 there, the highest in the table, while the yen scores 35, the lowest. Both are long-bias currencies on policy. The difference is entirely about who already owns them, and it is the reason the euro is the cleaner expression of the same policy view.

06 — Positioning as a modifierWhy the desk reads CFTC extremes contrarian, and where that changes the trade

Positioning is the only pillar the desk reads in reverse. A large net short is not evidence that a currency is weak; at a one-year extreme it is evidence that the marginal seller has already sold, which is why it scores positively in this model.

The three extremes in this print

AUD 63,239 contracts net short — a one-year extreme. Australian dollar longs are the cleanest squeeze setup in the table, and it is a large part of why AUD ranks first rather than third.
EUR 63,256 contracts net short — near the cleanest point of the past year, on a currency whose central bank is still hiking.
GBP 91,075 contracts net short — the largest short in the table, but the pound scores only 62.8, because the employment and wage side of its growth pillar is weak enough to offset it.

The counter-example is the yen. It carries the weakest positioning score in the matrix at 35 because the speculative community is already crowded long, which caps the immediate upside even as the policy case improves. A currency can be right on policy and still be a poor entry — that is the single most useful thing the positioning pillar does.

07 — Constructing the tradeLong the top of the table against the bottom, sized by the divergence gap

Most bullishUP
AUD
Australian Dollar

Above 65: AUD, NOK, EUR, JPY.

Most bearishDN
CHF
Swiss Franc

At or below 44: CHF.

Widest divergenceCY
AUD / CHF
Top versus bottom of the table

The spread between the highest and lowest score, and the size of the relative-value pair.

The construction follows mechanically from the table. Go long the highest-scoring currency, short the lowest, and size the position to the divergence gap — the difference between the two scores. This week that is long AUD against short CHF, a gap of 33.0 points.

Trade construction rules
RuleSettingWhy
EntryLong top / short bottomOnly the extremes of the table are outside the model’s error bar
SizingScaled to the divergence gapA 33-point gap is a high-conviction pair; a 20-point gap is not
ExitEither leg changes bandThe band is the trigger, so a band flip is the invalidation
ReviewWeekly, after the CFTC printPositioning is the fastest-moving pillar and updates on a fixed schedule
VetoCrowded leg in the same directionA long-bias currency with crowded longs is a worse entry than a lower-ranked one without

The veto rule is doing real work this week. Both legs of the AUD/CHF pair are positioned favourably — the Australian dollar is a one-year-extreme short and the franc is not crowded — which is what makes this the pair the model wants rather than merely the pair it produces. Had the top of the table been the yen, the same 33-point gap would have been a materially worse trade.

08 — Currency notesThe evidence behind each row, in the desk’s own words

Each row below is the evidence the score was built from, in the order the pillars are weighted. Read the policy sentence first, then the inflation print, then check the positioning line — that sequence reproduces the ranking.

AUD · Australian Dollar 72.1 Long Bias

The RBA's unanimous 29 September hike to 4.60% and its explicit willingness to tighten further strengthen the Australian dollar's hawkish carry support. Bullock said financial conditions must be tight enough to curb a persistent underlying-inflation pattern and still sees the labour market as a little tight, though 4.6% unemployment and weaker housing keep the pace data-dependent. The 29 September CFTC report shows a one-year-extreme 63,239-contract net short, preserving upside squeeze risk.

NOK · Norwegian Krone 70.6 Long Bias

Norges Bank's 24 September hike to 4.50% strengthens the krone's carry support and confirms that above-target inflation is still driving policy. The bank may raise rates again if inflation proves persistent, although its forecast now points to a period of holding rates high. The bias remains bullish.

EUR · Euro 67.7 Long Bias

The ECB remains restrictive after its September hike, and the 2 October flash estimate strengthens the near-term inflation case: headline HICP accelerated to 3.8%, core to 2.5% and services to 3.2%. Much of the surge still comes from energy, while meeting-by-meeting guidance limits conviction on the next move. The 29 September CFTC report shows euro speculative positioning at a 63,256-contract net short, near the cleanest point of the past year, reinforcing the bullish lean.

JPY · Japanese Yen 65.2 Long Bias

The BoJ's 18 September hike and 1 October Summary of Opinions establish further normalisation as the base case, while the 2 October Tokyo CPI surge to 2.7% core and 3.0% core-core materially strengthens the near-term inflation case. A still-tight labour market reinforces that policy support, although crowded long positioning and weak carry temper the immediate upside. The scorecard bias is now bullish.

USD · US Dollar 63.1 Neutral

The Fed's September hike and still-hawkish guidance keep the dollar's policy backdrop restrictive, but the 2 October jobs report materially weakens the follow-through case: payrolls rose only 29k, unemployment reached 4.2% and wages slowed to 3.0% y/y. With core PCE also softer than expected, the dollar's relative policy advantage has narrowed sharply even though inflation remains above target. The bias is now neutral.

GBP · British Pound 62.8 Neutral

The BoE kept rates unchanged, but the split vote and its warning about persistent inflation show that further tightening has not been ruled out. Stronger consumer spending provides some reassurance, though weakness in employment and wages keeps the outlook uneven. The 29 September CFTC report shows sterling positioning at a 91,075-contract net short, leaving a clean squeeze setup and a modest upside lean.

NZD · New Zealand Dollar 57.5 Neutral

Growth has held up better than feared, reducing the immediate recession risk and supporting the RBNZ's willingness to keep policy restrictive. High unemployment still tempers that support, while the 29 September CFTC report shows the speculative net short extending to 17,315 contracts. That is cleaner than a fortnight ago but still relatively crowded over a one-year horizon, so the bias remains neutral.

SEK · Swedish Krona 54.4 Neutral

The Riksbank's 24 September forecast now points to hikes beginning this year as growth improves and underlying price pressure persists, giving the krona a firmer policy story. August employment also increased, although unemployment remains elevated and measured inflation is still low. The bias remains neutral pending a clearer data follow-through.

CAD · Canadian Dollar 54.2 Neutral

Governor Macklem's 21 September remarks highlighted a stronger recent recovery and rising risk that energy costs broaden into persistent inflation, keeping a future Bank of Canada hike in play. Renewed US trade uncertainty, excess supply and weak August employment still cap the policy advantage, while the risk-on backdrop offers some support. The bias remains neutral.

CHF · Swiss Franc 39.1 Short Bias

The SNB's 24 September decision leaves rates at zero and calls current policy appropriate, while its inflation outlook remains subdued despite higher energy costs. That removes some easing pressure, but the franc still lacks carry support and the broader relative setup remains bearish.

09 — Method, limits and sourcesWhat this monitor can and cannot tell you

Four limitations are worth stating plainly, because a ranking instrument invites more confidence than it deserves.

  • It is a relative-value tool. A score of 72.1 says nothing about where the Australian dollar goes against the dollar; it says it is the most attractive of ten currencies relative to each other.
  • Pillar scores are judgements. They are read out of prose by an analyst, not computed from a data feed. Two careful readers can differ by several points on any single pillar, and the composite inherits that.
  • The weights are fitted, not given. They are stable enough to be useful and are not the desk’s actual coefficients. Treat the ranking as robust and the exact point values as indicative.
  • It lags by construction. Four of five pillars move only on scheduled events, so this monitor is a weekly instrument. Do not run it intraday and expect it to mean anything.
Sources

Central bank decisions, statements and meeting minutes from the RBA, Norges Bank, ECB, Bank of Japan, Federal Reserve, Bank of England, Reserve Bank of New Zealand, Riksbank, Bank of Canada and Swiss National Bank. Inflation prints from the relevant national statistics agencies, including the euro-area flash HICP estimate and the Tokyo CPI. Labour market and wage data from national statistical releases. Speculative positioning from the Commodity Futures Trading Commission Commitments of Traders report for 29 September 2026. All figures are as at 2 October 2026 unless stated otherwise.

10 — DisclosureConflicts, methodology status and terms

Not investment advice. This monitor is published for informational purposes only. Nothing here constitutes an offer, solicitation or recommendation to buy or sell any security, currency or derivative. Foreign exchange trading carries a high level of risk to capital and is not suitable for every investor.

Methodology status. The composite described in section 04 is a Farstar reconstruction of a third-party scorecard, fitted to reproduce its published output. It is not the original model and its coefficients are not those of the original publisher. Pillar scores are analyst judgements and are stated in full in the scorecard table so that any reader can reproduce the composite from them.

Conflicts. Farstar Capital, its principals and its contributors may hold positions in the currencies discussed. No compensation has been received from any party for the preparation of this monitor.

Data. Figures are drawn from public sources and are believed accurate as at the publication date but are not warranted. Past performance does not indicate future results.