Quantitative Trading Community

JS Financials is a paid Discord community for traders who want to build a real macro and quant process instead of staying lost with what to learn. It runs on research and methods you can actually execute, not recycled internet strategy content. You get the research as it's produced, my strategies running in real time, and a community of people doing the same work.

You'll work with me directly: Jackson Semenas, solo quant trader with four years of systematic trading experience, currently doing Honours in Finance, Economics, and Statistics at ANU (Commencing 2027). I hold a 99.95 University Selection Rank, published a research policy proposal to the Australian Treasury on inflation and immigration, will be speaking at the Cornell CFEM Future of Finance and AI Conference in September 2026, and represented Australia at the UCI Enduro Mountain Bike World Cup. JS Financials is what I've spent the last four years building.

The JSF Research Library

The core of the server is a library of 300+ written research documents, with new ones added regularly. Each one is written like a working note: clear definitions, code where it matters, real methods, and figures where they help. Organised by channel:

Macro Research: yield curves, central bank reaction functions, regime construction, how growth and inflation transmit into FX, commodities, and equities.

Microstructure Research: how modern electronic markets actually work. Order books (anatomy, imbalance, queue position, reconstruction, hidden liquidity). Spreads (decomposition, Roll estimator, effective and realized spreads). Market impact (square-root law, permanent vs transient, Kyle lambda, cross-impact). HFT and latency (strategy types, co-location, the microwave network, latency arbitrage, order-to-trade ratios). Order flow (toxicity, VPIN, trade classification, PIN models, metaorder detection). Venues (dark pools, PFOF and wholesalers, maker-taker fees, 605 and 606 disclosures).

Strategy and Execution: building, testing, and running strategies that survive regime change.

Coding and Tools: working notes on the quant stack, data sources, and execution.

Read it in any order, use it as reference when you hit something you don't know, or work through a channel in sequence. New documents drop regularly and get posted in the server.

Live Strategies

You see my strategies running live. A cross-asset regime model on gold, a yield differential mean reversion model on AUD/USD, and a hybrid market making model on Polymarket BTC binaries are all in the server. The point is transparency, not copy-trading: you see what each one is trying to exploit, what turns it on and off, what confirms or kills the thesis, and how it evolves as I test and review.

Weekly Live Calls

About three calls a week on Google Meet, scheduled around what the community wants. Working sessions, not lectures. Macro reads, strategy builds, microstructure breakdowns when something happens in the market, operations sessions on running trading like a real business. Ask questions live, push back on my logic, take the work into your own setup the same day.

The Community

The server is set up so questions don't get lost and conversations stay sharp. You'll be alongside other members running their own research and pressure-testing each other's thinking. THE AIM IS TO GIVE YOU GUYS THE CLOSEST THING TO A PROFESSIONAL TRADING DESK WITHIN A COMMUNITY FORM.

What this is for

You join JSF if you want to move beyond indicators and discretionary trading and toward a macro-driven, quant-grade process. You want a real research foundation, the methods to build edge properly, and visibility into how a systematic operation runs. You want to stop depending on other people's trading beliefs and learn a structured, research driven approach.

What you'll work through: macro frameworks that translate to measurable cross-asset signals; quant methods (probability, statistics, time series, signal construction, normalisation, risk maths); not confusing correlation with causation so you don't build strategies on noise; strategy specification, backtest design, walk-forward testing, and regime-aware risk; the full market structure picture (order books, spreads, impact, HFT, order flow, venues) that decides whether your edge survives execution; and the operational side (structure, record-keeping, journaling, tax) so you can run trading properly.

JS Financials is educational and research-focused. Nothing in it is personal financial advice. The work is about you developing your own skill, process, and independent decision making.