Most trading-tech shops hand you a backtest and disappear. We treat algorithmic trading as an operating discipline: research it carefully, risk-manage it hard, and keep it alive long after launch day.
A trading company should make a promise. Ours is simple: ship systems that survive the open.
Every system starts with a real market problem: entries, exits, and fills that survive slippage, not a slide deck of theory.
A strategy without hard limits is a liability. We ship position sizing, exposure caps, and halt logic before anything goes live.
We ship production bots and expert advisors that are monitored, versioned, and maintainable, not one-off scripts that break on the next broker update.
Traadence began with a trading desk that refused to scale. Every session, two founders watched capable traders burn their best hours on manual entries, late exits, and risk checks a machine should have enforced hours ago.
So we built one bot. Then ten. Then a library of expert advisors and custom engines. The point was never to replace traders. It was to give them back the discipline and speed the markets demand. What started as a favor for one desk became an operating practice for hundreds.
We never wanted to be a signal vendor. We wanted to be the team that hands your edge back, executed, risked, and monitored.

Every decision we make is measured against it: does this hand someone their edge back, in live markets, with risk under control? If not, it doesn't ship.
Anyone can put words on a wall. Each of ours comes with the receipt: the thing we actually do because we believe it.
Real algo trading is plumbing: reconnect logic, partial fills, the edge case at 2am. We do the boring part properly so the strategy actually holds.
Bots should add speed, never remove judgment. High-risk actions and limit breaches pause for a person before they escalate.
No black boxes, no surprise invoices. You see exactly what is in scope, what shipped this week, and what we chose to defer.
A curve that looks good once is easy. We care about the system that still works in month six, when spreads widen and an API quietly changes.
Two founders automate one stubborn discretionary routine. It runs overnight so they can trade the plan, not the noise.
A handful of clients become a library of shipped expert advisors across forex and CFD accounts.
Reusable signal and risk modules become a living toolkit. Every project makes the next one faster.
Trading systems delivered to traders and growing desks.
Custom engines graduate from paper pilots to dependable, monitored live workloads.
The people who scope your build are the people who ship it. No anonymous handoffs. You know exactly who is on your project.

Alex Hodge is the Trading Bot & Software Development Lead at Traadence, building and maintaining execution systems that run unattended — from strategy logic to broker API to order fill.

Jim Dudas is the Trading Strategist & Signals Lead at Traadence, backtesting strategies before they go live, running the signals desk, and writing about what separates a real edge from an overfit curve.
The people who scope your bot are the ones who ship it. No mystery contractors, no handoff to whoever is free.
We show the architecture, the tradeoffs, and the cost before you commit. You sign off on the stack, not a surprise.
Most shops disappear at launch. We ship monitoring and stay for the month after, when real-market edge cases show up.
We've given thousands of those hours, and cleaner fills, back to traders who thought "that's just how it works." If any part of your week still runs on discretionary busywork, that's the part we'd love to systematize.