Hey traders,
Today I’m breaking down my personal approach to using Commitment of Traders (COT) data to find higher-timeframe bias. If you want to trade with the real market momentum (a.k.a. what the big players are doing) rather than chasing noise, this is for you.

There are many ways to use COT data — Larry Williams, Anton Kreil, and others each have their own twist.
This is the method that works for me. It might work for you too.
What Is COT Data?

The Commitment of Traders report is published every Friday by the CFTC.
It shows the open futures positions of different market participants as of the previous Tuesday.

It’s basically a peek into institutional positioning — minus high-frequency and market-making noise.

The catch:

Data is delayed (Tuesday’s data is released Friday).

We miss the last 3 days of moves.

But don’t worry — I’ll show you how to read between the lines.
Why Use COT?

COT can help you:

Understand higher timeframe bias

Spot shifts in institutional positioning

Identify trend continuations or reversals

Avoid retail sentiment traps

It’s not a standalone entry trigger — I use it as a macro confirmation layer for swing or position trades.

The beauty?
Institutions trade based on fundamentals. You don’t have to dig through macro reports — just follow their positioning.
The Main Market Participants

COT splits traders into several categories:

Commercials (Hedgers)

    Producers, manufacturers, big institutions locking in prices.

    Usually contrarian at extremes (record net long/short often signals reversals).

Non-Commercials (Speculators)

    Hedge funds & large speculators.

    Follow trends, represent “big money” sentiment.

Dealers

    Big banks facilitating trades.

    Take the other side of speculative flows.

Leveraged Money

    Hedge funds using high leverage.

    Positions show short-term speculative sentiment.

Who I follow: Non-Commercials (Speculators).
Larry Williams focuses on Commercials, Anton Kreil prefers Leveraged Money — try and see what works for you.
Which Report?

I use:
Traders in Financial Futures (TFF) — covers forex, bonds, and indexes.

Where to find:
Free on the CFTC site — but the standard week-to-week format isn’t enough.
Institutions don’t flip positions overnight — I track larger data samples.
My Tracking Method

I collect data weekly into columns, tracking:

Long % exposure

Short % exposure

Net positions

13-week averages

Historical highs/lows

The relationships between these numbers give me insight into:

What’s really driving price action

Strong levels worth watching

Order flow patterns

Common COT Patterns

1. Bullish Pattern – Longs Growing / Shorts Closing

Strongest signal — clean institutional buying.
Example: EURUSD — steady long growth, rapid short closing → confirmed bullish trend.
2. Weak Currency – Longs Growing / Shorts Closing

Example: USDJPY — looks messy, but numbers show weak JPY as shorts are closed and longs added.
3. Bearish Consolidation – Shorts Building

Example: AUDUSD — tight consolidation, longs flat, heavy short building → big drop incoming.
4. Profit-Taking Move

Price spikes above highs, but longs close instead of adding.
Example: Gold — overheating market, no heavy shorting yet → expect pullback or consolidation.
5. Sharp Position Drop Without Opposite Building

Example: USDCHF — big long reduction starts sell-off without major shorting. Weekly data alone would miss this.
️ Important Note on Short-Term Price Action

Even if COT shows a bearish bias, price can still rally short-term (2–3 weeks).
Big players often add shorts above highs, not at lows — use price action for entries.

That’s the overview of how I use COT to stay aligned with the market’s heavy hitters.
Next, I’ll share how I combine this with chart context to pinpoint high-probability swing setups.