Crypto Positioning Watch
CME futures positioning by trader category — Leveraged Funds (hedge funds), Asset Managers (institutional buyers), and Dealers (intermediaries) — sourced from the CFTC's weekly Traders in Financial Futures report.
This is a data product, not a regime call. The chart layer is the public CFTC TFF report rendered with weekly precision; we don't tell you what the positioning means. Read across the four panels and the divergence is the story — when Lev Money (hedge funds) and Asset Managers are positioned in opposite directions, that's information regardless of who turns out to be right.
Current state — full-size CME contracts
Lev Money net positioning over time
Negative = hedge funds net short. Latest BTC reading at
Asset Manager net positioning over time
Asset Managers are typically institutional buyers — pension funds, asset-allocator desks, ETF arbitrage. Net long positioning here is institutional accumulation; net short is institutional unwind. Latest BTC reading at
All four CME crypto contracts — current readings
Includes the micro contracts (MBT and MET, 1/10 the size of full BTC and ETH) — useful for spotting where smaller-AUM hedge funds and individual professionals concentrate, since micros are where the smaller cheques play.
How to read this
Trader categories (CFTC TFF schema)
- Leveraged Funds — hedge funds and CTAs. Speculative directional positioning. Often most actively trade the crypto futures.
- Asset Managers — pension funds, asset allocators, ETF arbitrageurs. Institutional buy-and-hold proxies. Net longs here track ETF AUM growth.
- Dealers — primary dealers, market makers. Net positioning often opposes Lev Money + Asset Mgrs as they warehouse the other side.
- Other Reportable + Non-reportable — smaller traders who collectively round out the rest of OI.
What "% of OI" means
Each category's net (long − short) divided by total open interest. Positive = net long, negative = net short. Magnitude relative to historical range matters more than the absolute level — that's why every reading carries a percentile rank against its own contract's history. A −40% Lev Money reading on BTC is a different signal than the same number on ETH because the historical bands differ.
Source: CFTC Traders in Financial Futures (TFF) — Futures-Only report, Socrata API endpoint
gpe5-46if. Cross-reference: Office of Financial Research mirror. Cached locally at cache/alternative_data/cftc_tff_crypto/ and refreshed weekly via scripts/alt_data/fetch_cftc_tff_crypto.py. Free public data, no Macro Sentinel proprietary signal.
Related research: the Digital Assets Research Preview built a 2-axis crypto regime classifier on top of this positioning data plus 10 other indicators. Three pre-registered configurations failed institutional validation gates; the model is published transparently as research, not as a flagship index.