Energy Futures · Houston, Texas

An AI-native trading firm built for energy futures.

Our edge is a process that blends AI models, tools, and techniques with human judgment to accurately model the fair value of the assets we trade.

01 Approach

A small human team sets direction. Agents do the rest.

Our workforce is mostly autonomous agents — ingesting data, scanning structure, and generating trade ideas around the clock. A small human team, led by Portfolio Managers, sets the direction.

The result is coverage that does not sleep and a research loop that compounds.

02 Pipeline

From data to a trade view.

Analyst agents model the balances. A pod lead stress-tests what they produce, quality control refreshes and challenges it, and a human makes the call.

The 1K1 Capital research pipeline Energy data inputs and five analyst roles feed math-backed models. Validated signals pass to a Quantitative Trader and to trader_poda, an AI pod lead, alongside a Risk Analyst. Quality control refreshes and challenges the models and gates the recommendation output, where a portfolio manager makes the final decision. MODELED BY VALIDATED SIGNALS CHALLENGE LOOP Energy Data Inputs inventory · production · imports demand · exports · refinery runs Product Analyst I gasoline balances, stocks, and fair value Product Analyst II diesel & heating-oil balances and fair value Crude Analyst I crude balances and stocks, and fair value Crude Analyst II crude grades and differentials, and fair value Refinery Analyst refinery runs and product supply forecasts Math-Backed Models supply-demand balances forecast changes fair-value estimates probability scenarios EXPLICIT MATH AT EVERY STEP Quality Control refresh outputs first verify timestamps changed challenge up to two rounds Risk Analyst prices · spreads · positioning weather · outages · events · technicals HUMAN DESK Quantitative Trader reviews the model output sizes and executes the trade AI POD LEAD trader_poda checks freshness and math challenges weak conclusions adds price, flow and catalyst context flags unresolved model-quality issues Recommendation Output clear trade view risks and invalidation levels PORTFOLIO MANAGER DECIDES · NO AUTO-TRADING
Scroll to see the full pipeline

03 Strategy

Futures Fair Value Trading.

Data as of September 24, 2026

The program applies this approach to the most liquid CME energy futures, expressing fundamentally-derived fair-value dislocations through outright, calendar-spread and crack structures.

Exchange
CME
Instruments
WTI Crude OilCL ULSD · Heating OilHO RBOB GasolineRB
Structures
Outright · Calendar spread · Crack

04 Focus

Markets

  • WTI
  • Brent
  • RBOB
  • Heating Oil
  • Gasoil

Strategy

  • Spread Trading
  • Relative Value
  • Structural Plays

Team

  • Few Humans
  • Many Agents
  • Always On

05 The Tape

Sessions that repriced the curve.

Settlement snapshots from the days energy markets reset. The structure we trade today is the residue of days like these.

01 / 08

Settlement data for the selected historical session
Contract Settle Chg % High Low Vol

Historical · illustrative

06 Contact

Get in touch.

1K1 Capital LLC 2925 Richmond Ave, Suite 1200
Houston, Texas