Macro research tool
Fundamentals
In developmentBring economic releases, historical observations and research notes into one workspace. Follow inflation, growth, employment and policy without losing the source behind a number.
Explore FundamentalsINDEPENDENT QUANTITATIVE RESEARCH
We research and train fundamentals bots and trading systems using 18 years of historical data, with ongoing work on macro analysis and strategy testing.
Year-over-year change
Track release dates, revisions and the change in underlying price pressure.
Economic context, before the trading decision.
OUR FOCUS
Macroeconomic dataStrategy researchSystematic execution18 years of historical data01 — WHAT WE BUILD
Three connected areas of development.
Explore the work behind each one.
Macro research tool
Bring economic releases, historical observations and research notes into one workspace. Follow inflation, growth, employment and policy without losing the source behind a number.
Explore FundamentalsQuantitative testing
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.
Explore Strategy LabTrading bot development
Build the link between tested rules and controlled execution. Define position limits, record every decision and evaluate behaviour in simulation before live use.
Explore Execution Engine02 — OUR APPROACH
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 methodologyStudy what was available at the time of a decision. Keep first releases and later revisions distinguishable.
Record the dataset, strategy rules, parameters and costs. Separate model development from evaluation.
Use simulation, explicit risk limits and decision logs before evaluating a strategy for live trading.
03 — RESEARCH NOTES
Data, evaluation and automation.
Read the full research notes.
Observation dates, publication dates and vintages answer different questions. A historical research dataset needs all three.
Read the note EVALUATION / 3 MIN READA useful test explains the rules, trading costs, evaluation period and conditions under which the result changes.
Read the note AUTOMATION / 3 MIN READUse language models to help read and organise source material while keeping numerical work and trading decisions accountable.
Read the note04 — BEYOND MARKETS
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