Amolira is a private research and proprietary trading company. We study the structure of modern markets — quietly, rigorously, and entirely with our own capital.
We are not a fund. We do not manage outside money, run a sales process, or publish investment products. Amolira exists to do one thing well: treat trading as a computational engineering problem, and let careful research compound over time.
“The customer is the market itself.
The product is a more careful question.
Four ideas shape almost every decision we make — from how research is run, to how risk is engineered, to the kind of people we choose to work with.
Every idea begins as a falsifiable hypothesis. We prefer slow, careful work that survives contact with reality over fast work that flatters our intuition.
Risk controls are written in code, not policy documents. Position limits, kill switches and bounds checks live inside the systems they govern — never as an afterthought.
Our automated systems operate under a human-in-the-loop doctrine. Authority to override, pause or flatten lies with a named person, always.
We compound research, capability and judgement — not headlines. Decisions are made for the firm we want to be in a decade, not the quarter we are in.
Research at Amolira moves through a small, deliberate cycle. We keep it small on purpose: the loop is easier to discipline, easier to instrument, and easier to learn from. The specifics of what we study and how we model it remain private — the shape of how we work does not.
A precise, falsifiable statement about market behaviour we believe we can test.
Clean, timestamped, reproducible. We treat data quality as a first-class engineering problem.
Modern machine learning — chosen, trained and versioned with the same discipline as production code.
Honest, out-of-sample evaluation that simulates the friction of the real world: latency, slippage, fees.
Every result — positive, negative, or inconclusive — feeds the next question.
If a result cannot be reproduced from the same data and the same code, it is not a result.
The most expensive trade is the one a model wanted to take but a person did not understand.
Markets owe nothing to the elegance of our models. The privilege is to keep refining them anyway.
Amolira voluntarily aligns its practice with Australia’s AI Ethics Principles and with the spirit of the ASIC Market Integrity Rules — even where strict exemptions might arguably apply to a firm that trades only its own capital.
Automated systems operate inside hard bounds. No order may be transmitted that deviates materially from prevailing market prices.
A named risk officer holds ultimate authority to override automated decisions, flatten positions, and pause systems at any time.
Our systems are prohibited, in code, from placing orders without bona fide intent to execute. False depth has no place in our stack.
We do not stack orders on one side of the book to influence prices in favour of a position held on the other side. Full stop.
Self-trade prevention is active across every account we operate, so that we cannot inadvertently trade with ourselves or inflate volume.
We focus on highly liquid, institutionally dominated markets, and we do not write logic intended to trigger other participants’ stops.
Amolira is built and run by a small number of researchers and engineers based in Queensland, working remotely across Australia. We hire slowly, and only when the work genuinely demands another hand.
Sets the research agenda, owns the firm’s risk posture, and is ultimately accountable for every decision the systems make on our behalf.
Designs the data pipelines, machine-learning architectures and evaluation rigs that turn raw market observations into well-understood evidence.
Builds the infrastructure that runs everything — with a particular focus on reliability, observability, and the hard limits that keep the firm safe.
Amolira is a private Australian company that trades on its own account. We do not provide financial product advice, do not deal in financial products on behalf of others, and do not offer interests in any managed investment scheme. Nothing on this site constitutes an offer, solicitation, recommendation, or invitation to invest.
General correspondence may be directed to contact@amolira.com. We are not seeking capital, partnerships, or clients at this time. enquiries.
