about/tradrquant.md whoami

// our story

Built by traders. Verified by quants. 

TradrQuant started as one trader's frustration with a retail-tools market built on marketing instead of evidence. It became an 18-month build with a small team of quantitative researchers and engineers — a professional terminal that shows its own numbers, wins and losses alike.

18+ mo
In development
800+
Assets scanned
24/7
Continuous scan
<20s
Alert latency
16
Structures detected
3
Exchanges wired

[00] // who.built_this()

Who's behind it

JC Rod — founder of TradrQuantJC Rod · @Tradernaut

I'm JC Rod — better known as Tradernaut, founder of TradrQuant. I've spent years on the trading side of the screen across equities, index futures and crypto — and passed funded trading challenges with proprietary firms like Topstep, trading real capital under strict, rules-based risk parameters.

That discipline — position sizing, drawdown limits, execution under pressure — plus a deep grounding in order flow, liquidity and market structure, is exactly what I wanted encoded into a tool. I've also published two trading titles teaching the craft and build in public with the MoonBros community.

[01] // the.team()

The team

TradrQuant isn't a solo project. I handle the trading logic — every pattern, parameter and edge case comes from years of watching charts. Alongside me is a small team of quantitative researchers and engineers who turn that intuition into method: geometric curve-fitting for the shapes, statistical filters to kill false positives, and infrastructure built to scan hundreds of pairs around the clock.

Trading logic

JC Rod

Founder · trader · @Tradernaut

Quant research

Quant team

Statistical modelling & pattern validation

Engineering

Eng team

Real-time data pipelines & 24/7 scanning

[02] // how.we_built_it()

What it took

The itch

Years on the trading side of the screen — equities, index futures, crypto — and one recurring frustration: every retail tool sold hype, none showed its own numbers.

First engine

We wrote the first pattern-detection script and spent months making a single structure fire reliably on live markets. Backtests lie; live data humbles you fast.

Quant rebuild

We brought in quantitative researchers to replace guesswork with method — RANSAC-style geometric fitting for the shapes, statistical filters to kill false positives.

Verify everything

We built the ledger before the marketing. Every claim timestamped, every loss published next to every win. If we can't verify it, it doesn't ship.

Free where they charge

We opened the whale-alert and pattern channels to everyone, free, and put the full terminal on a founder waitlist.

[03] // what.we_stand_for()

What we stand for

Evidence over hype

Every stat on this site is measured on our own data or cited to a source. No borrowed averages dressed up as a guarantee.

Publish the losses

A track record that only shows winners isn't a track record. Ours shows both.

Built for retail

Prop-grade discipline — position sizing, drawdown limits, execution under pressure — baked into a tool a retail trader can run in minutes.

// honest take

TradrQuant scans markets, detects structures and sends you alerts with their measured odds. That's it. It won't make you a better trader overnight, and it won't guarantee profits — markets are unpredictable and no software changes that. What it does is save you time and give you honest numbers to decide with. We built it because we needed it. We're sharing it because other traders might too.

Trade with us — free

Pick the free Telegram channels you want — whale alerts, pattern edge, or both.

Choose your channels

Not financial advice. Trading involves substantial risk. Team composition described reflects TradrQuant's trading, research and engineering functions.