FinzData Weekly: Liquidity, Capital Flows & Positioning, October 10, 2026
Liquidity, capital flows and positioning for the week to October 10, 2026, built from the FinzData database. Data, not investment advice.
This week in five lines
- Fed net liquidity stands at $5,865bn as of 2026-10-07, rising over the past four weeks (+8bn).
- The Treasury General Account is falling over four weeks (−3bn) to $880bn.
- M2 money supply is 6.1% versus a year ago at $23,306bn.
- Most crowded positioning: VIX (Asset managers, index 0) and US 10-year Treasury (Asset managers, index 100).
- Largest weekly swing in net % of open interest: Copper (Managed money) at −5.8pp.
Liquidity
| Series | Latest | As of | 1w | 4w | 13w | 1y |
|---|---|---|---|---|---|---|
| Fed net liquidity (assets − TGA − reverse repo) | $5,865bn | 2026-10-07 | +82bn | +8bn | −93bn | +93bn |
| Fed balance sheet | $6,748bn | 2026-10-07 | +5bn | +7bn | +12bn | +160bn |
| Treasury General Account | $880bn | 2026-10-07 | −68bn | −3bn | +106bn | +75bn |
| Overnight reverse repo | $0bn | 2026-10-08 | 0bn | −4bn | −5bn | −5bn |
| Bank reserves | $3,030bn | 2026-10-07 | +82bn | +38bn | −69bn | +64bn |
| M2 money supply (weekly) | $23,306bn | 2026-08-31 | +38bn | +97bn | +283bn | +1,333bn |
| Money market fund assets | $8,441bn | 2026-04-01 | +152bn | +152bn | +251bn | +960bn |
| G3 central bank assets (USD) | $17,524bn | 2026-09-01 | −124bn | −124bn | −235bn | −917bn |
| Chicago Fed financial conditions (NFCI) | -0.49 | 2026-10-02 | +0.02 | +0.05 | +0.02 | +0.03 |
| St. Louis Fed financial stress | -0.47 | 2026-10-02 | +0.34 | +0.32 | +0.25 | +0.07 |
Fed net liquidity is $5,865bn as of 2026-10-07, up 8bn over four weeks. The Treasury General Account is $880bn, down 3bn over four weeks.
Capital flows (TIC)
| Series | Latest month | Value | Prior month | 12-month total / change |
|---|---|---|---|---|
| Net foreign purchases of US long-term securities | 2026-07-01 | $41bn | $209bn | +1,754bn (12m total) |
| Net foreign purchases of US Treasuries | 2026-07-01 | −$4bn | $6bn | +247bn (12m total) |
| Foreign official net purchases of Treasuries | 2026-07-01 | $26bn | −$10bn | −17bn (12m total) |
| Foreign holdings of US Treasuries | 2026-07-01 | $38,821bn | $39,195bn | +4,862bn (12m change) |
Net foreign purchases of US long-term securities were $40.616bn in July 2026, down from $208.899bn the prior month. Foreign official net purchases of Treasuries were $25.537bn.
Positioning (CFTC Commitments of Traders)
TFF report (financial futures)
| Market | Group | Net contracts | Net % OI | w/w pp | COT index | Percentile | Flag |
|---|---|---|---|---|---|---|---|
| S&P 500 | Asset managers | 909,302 | 46.6% | −0.8pp | 61 | 94% | |
| S&P 500 | Leveraged funds | -415,909 | -21.3% | −1.7pp | 32 | 3% | |
| Nasdaq-100 | Asset managers | 74,856 | 25.1% | +0.2pp | 62 | 67% | |
| Nasdaq-100 | Leveraged funds | -26,738 | -9.0% | +2.9pp | 64 | 33% | |
| Russell 2000 | Asset managers | 45,495 | 10.7% | +1.4pp | 34 | 67% | |
| Russell 2000 | Leveraged funds | -105,317 | -24.8% | +2.0pp | 9 | 1% | Crowded short |
| VIX | Asset managers | -80,614 | -18.3% | −2.5pp | 0 | 0% | Crowded short |
| VIX | Leveraged funds | 5,494 | 1.2% | +3.0pp | 96 | 95% | Crowded long |
| US 2-year Treasury | Asset managers | 1,679,087 | 37.4% | +1.3pp | 37 | 84% | |
| US 2-year Treasury | Leveraged funds | -1,257,484 | -28.0% | −2.3pp | 94 | 29% | Crowded long |
| US 10-year Treasury | Asset managers | 2,828,139 | 49.2% | +0.3pp | 100 | 100% | Crowded long |
| US 10-year Treasury | Leveraged funds | -2,139,785 | -37.3% | −1.4pp | 27 | 8% | |
| US Treasury bond | Asset managers | 405,628 | 21.4% | −1.9pp | 12 | 37% | |
| US Treasury bond | Leveraged funds | -189,678 | -10.0% | +3.4pp | 94 | 54% | Crowded long |
| SOFR 3-month | Asset managers | -481,742 | -3.8% | +0.8pp | 24 | 23% | |
| SOFR 3-month | Leveraged funds | -2,353,716 | -18.6% | +0.8pp | 14 | 5% | |
| Euro | Asset managers | 189,881 | 21.8% | −4.0pp | 15 | 45% | |
| Euro | Leveraged funds | -44,261 | -5.1% | −0.5pp | 17 | 49% | |
| Japanese yen | Asset managers | 67,795 | 18.4% | +4.1pp | 74 | 76% | |
| Japanese yen | Leveraged funds | -25,043 | -6.8% | −2.9pp | 59 | 64% | |
| British pound | Asset managers | -145,442 | -54.7% | −3.6pp | 6 | 0% | Crowded short |
| British pound | Leveraged funds | 12,432 | 4.7% | +2.8pp | 26 | 47% | |
| Bitcoin (CME) | Asset managers | 3,532 | 16.5% | −1.8pp | 9 | 45% | Crowded short |
| Bitcoin (CME) | Leveraged funds | -6,852 | -32.0% | +3.0pp | 91 | 61% | Crowded long |
Disaggregated report (commodities)
| Market | Group | Net contracts | Net % OI | w/w pp | COT index | Percentile | Flag |
|---|---|---|---|---|---|---|---|
| WTI crude | Managed money | 53,598 | 2.8% | −1.4pp | 31 | 3% | |
| WTI crude | Producers/merchants | 335,010 | 17.7% | +0.7pp | 83 | 99% | |
| Natural gas (NYMEX) | Managed money | -144,537 | -8.0% | −0.5pp | 6 | 25% | Crowded short |
| Natural gas (NYMEX) | Producers/merchants | -8,229 | -0.5% | +0.3pp | 76 | 85% | |
| Gold | Managed money | 110,987 | 28.0% | −1.6pp | 47 | 64% | |
| Gold | Producers/merchants | -19,501 | -4.9% | +0.3pp | 86 | 94% | |
| Silver | Managed money | 7,528 | 7.2% | +0.0pp | 28 | 28% | |
| Silver | Producers/merchants | -16,253 | -15.5% | −0.0pp | 87 | 84% | |
| Copper | Managed money | 61,134 | 20.1% | −5.8pp | 83 | 80% | |
| Copper | Producers/merchants | -92,720 | -30.5% | +4.1pp | 21 | 31% | |
| Corn | Managed money | 329,839 | 17.7% | −2.8pp | 89 | 81% | |
| Corn | Producers/merchants | -688,377 | -37.0% | +2.5pp | 13 | 15% | |
| Soybeans | Managed money | 258,066 | 23.0% | +0.4pp | 98 | 89% | Crowded long |
| Soybeans | Producers/merchants | -311,767 | -27.8% | −1.1pp | 8 | 42% | Crowded short |
Crowding and weekly swings
Most crowded (by |COT index − 50|)
- VIX (Asset managers): COT index 0, flag: Crowded short.
- US 10-year Treasury (Asset managers): COT index 100, flag: Crowded long.
- Soybeans (Managed money): COT index 98, flag: Crowded long.
- VIX (Leveraged funds): COT index 96, flag: Crowded long.
- US 2-year Treasury (Leveraged funds): COT index 94, flag: Crowded long.
Largest weekly swings (by |w/w pp|)
- Copper (Managed money): −5.8pp to 20.1% of open interest.
- Copper (Producers/merchants): +4.1pp to -30.5% of open interest.
- Japanese yen (Asset managers): +4.1pp to 18.4% of open interest.
- Euro (Asset managers): −4.0pp to 21.8% of open interest.
- British pound (Asset managers): −3.6pp to -54.7% of open interest.
Most crowded positioning: VIX (Asset managers, index 0) and US 10-year Treasury (Asset managers, index 100). Largest weekly swing in net % of open interest: Copper (Managed money) at −5.8pp.
Method and sources
All figures are point-in-time for the issue date. COT positioning uses rows dated on or before issue date minus four days (Tuesday positions published the following Friday). Liquidity and TIC series use rows dated on or before issue date minus two days. This lets us rebuild past issues exactly as they would have appeared at the time.
- Liquidity and flows: latest observation, plus the change versus the last observation on or before 7, 28, 91 and 365 calendar days earlier. Monthly TIC flows also show the prior month and a trailing-12-month sum; foreign holdings show the level and the 12-month change.
- Positioning: net = long − short contracts per trader group; net % of open interest = 100 × net ÷ total open interest; w/w change in net contracts and in net % of open interest (percentage points); COT index = 100 × (net − min) ÷ (max − min) over the last 156 weekly rows (50 when max equals min); percentile of net % of open interest versus all history since 2010. "Crowded long" when the COT index is 90 or above, "Crowded short" when 10 or below.
- Sources: Federal Reserve H.4.1, US Treasury, FRED, CFTC Commitments of Traders, and the US Treasury TIC survey, all stored in the FinzData database.
Explore the underlying series: COT positioning, datasets, explore, and the RSS feed.
Pull the same data
import finzdata as yf
c = yf.Client()
# Net liquidity: Fed assets minus TGA minus reverse repo
liq = c.liquidity("FED_NET_LIQUIDITY")
# COT positioning: S&P 500 futures, TFF report
cot = c.cot(report="tff_fo", market="13874+")
# Treasury International Capital flows
tic = c.tic()
Built for AI, quants, data scientists and financial analysts who backtest. Clean data. Real insights. Real alpha. finzdata.com. This material is for information only and is not investment advice.









