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Macro research.
Systematic
trading.

We research and train fundamentals bots and trading systems using 18 years of historical data, with ongoing work on macro analysis and strategy testing.

BASED IN PAKISTANRESEARCH & DEVELOPMENT
THE RESEARCH WORKSPACEFIG. 01
FUNDAMENTALSWORKSPACE PREVIEW

Year-over-year change

Consumer prices

CPI
T−4T−3T−2T−1T
RESEARCH NOTE

Track release dates, revisions and the change in underlying price pressure.

Illustrative dataResearch interface concept
01 /

Economic context, before the trading decision.

OUR FOCUS

Macroeconomic dataStrategy researchSystematic execution18 years of historical data

From economic data
to a tested strategy.

Three connected areas of development.
Explore the work behind each one.

01

Macro research tool

Fundamentals

In development

Bring economic releases, historical observations and research notes into one workspace. Follow inflation, growth, employment and policy without losing the source behind a number.

  • Economic releases
  • Historical vintages
  • Research notes
Explore Fundamentals
02

Quantitative testing

Strategy Lab

In development

Turn a trading idea into an explicit set of rules. Replay historical data, account for trading costs and compare results across periods before considering deployment.

  • Historical replay
  • Cost modelling
  • Out-of-sample testing
Explore Strategy Lab
03

Trading bot development

Execution Engine

In development

Build the link between tested rules and controlled execution. Define position limits, record every decision and evaluate behaviour in simulation before live use.

  • Paper trading
  • Risk controls
  • Decision logs
Explore Execution Engine

The evidence
comes first.

A strategy should survive more than a good-looking chart. Our development process starts with the data, the assumptions and the conditions under which a result can be repeated.

Read our methodology
01

Respect the timeline.

Study what was available at the time of a decision. Keep first releases and later revisions distinguishable.

02

Make the test reproducible.

Record the dataset, strategy rules, parameters and costs. Separate model development from evaluation.

03

Keep execution accountable.

Use simulation, explicit risk limits and decision logs before evaluating a strategy for live trading.

The questions
behind the software.

Data, evaluation and automation.
Read the full research notes.

Browse all research notes

Built in Pakistan.
Researching
global markets.

FOUNDER-LED · IN DEVELOPMENT

Beyond Markets is a Pakistan-based startup working on macroeconomic research software and systematic trading tools.

We have used 18 years of historical data to research and train our fundamentals bots and trading systems. That research continues as we evaluate and refine the models and strategy rules.

About the company
FOCUS
Research software
LOCATION
Pakistan