Jackson Semenas

Quantitative Trader & Researcher

I got into trading through my interest in economics and how it applies to financial markets. At 14, I started developing basic algorithms, and I haven't stopped building models since.

Today I run both high-frequency and low-frequency trading models across commodities, forex, and prediction markets. My research spans quantitative methods, economics, market microstructure, latency arbitrage, and applied statistical modelling.

I founded JS Financials to bridge the gap between institutional-grade analysis and retail traders, providing real research, not hype.

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Jackson Semenas at the NYSE

Journey

2021

Started Trading at 14

Began developing basic algorithmic trading models, driven by an interest in economics and how it applies to financial markets.

2022

Fundamental Economic Research

Continued to research economics at a fundamental level and how it correlated to financial markets.

2023

AUDUSD Yield Differential Mean Reversion Model

Developed the AUDUSD Yield Differential Mean Reversion model, a forex strategy still in use to this day.

2024

Expanded into HFT & Quant Research

Expanded research into HFT, market microstructure, applied statistical modelling, and data structuring.

2025

Published Policy Proposal

Published an economic policy proposal for balancing immigration and inflation in the Australian economy, put forward to the Australian Treasury for review and implementation.

2025

Gold Cross-Asset Analysis Model

Developed the Gold Cross-Asset Analysis LFT model, historically the best performing model in the portfolio.

2025

99.95 University Selection Rank

Achieved a 99.95 University Selection Rank. Accepted into Honours in Finance, Economics, and Statistics at the Australian National University (ANU).

2025

Launched JS Financials

Launched JS Financials to provide institutional-grade quantitative trading education and macroeconomic research to retail traders.

2026

Polymarket HFT Latency Arbitrage

Began developing a high-frequency latency arbitrage model on Polymarket prediction markets.

Research Interests

Quantitative Methods

Statistical modelling, stochastic processes, and computational methods applied to financial markets.

Macroeconomics

Central bank policy, yield curve dynamics, cross-asset flows, and how macro forces drive asset prices.

Market Microstructure

Order flow analysis, price discovery mechanisms, and the structural dynamics of modern electronic markets.

Latency Arbitrage

High-frequency exploitation of price dislocations across venues, including prediction markets and spot exchanges.

Applied Statistical Modelling

Time-series analysis, regime detection, and mean-reversion models for systematic trading strategies.

Economic Policy

Research into macroeconomic policy design, including published work on immigration and inflation dynamics in Australia.