Algorithmic trading software

What most algorithmic trading software actually does

Almost every product sold as algorithmic trading software does one job: it executes rules a person wrote. You define the conditions, it watches for them, and when they occur it acts. The judgment happened once, at the moment you wrote the rule. Everything after that is execution.

That arrangement has a known weakness. Markets change and rules do not. A rule that worked in one regime keeps firing in the next, and the software has no way of noticing, because noticing was never part of its job.

What we built instead

It grades every decision against what happened next

TradeAgentic records what it decided, then finds out what the market actually did, and scores itself. That record is the input to later decisions. A system that cannot tell whether it was right cannot improve, and most algorithmic trading software cannot.

It records refusals, not just trades

Most systems log fills. Ours logs the candidates it declined and why, which is the half of the record that tells you whether it is missing things it should have taken. You can read it.

It moves capital on measured results

Multiple strategies compete for one pool of capital, and allocation follows measured, cost-adjusted outcomes rather than conviction. Nothing needs you to pick a strategy, because there are no strategy switches in the product.

It runs entirely on your machine

No vendor server decides anything. Your broker keys stay in the operating system keychain on your own hardware, and no market or account data leaves the machine. Our outage cannot become your outage.

What to check before believing any of it

Rerun the research yourself

The backtester has a real cost model and options repricing, and validation designed to reject findings that do not hold out of sample. You can reproduce it from one command on your own machine. A backtest you cannot rerun is marketing, ours included until you have run it.

Read the decision record before you fund anything

Run it on a paper account and read what it did and declined. If the record does not persuade you, no sales page should.

Check where the protection sits

Protective orders rest at the brokerage, not inside our software. That means a crash, a reboot or us going out of business does not leave a position unprotected. Ask every vendor this and accept only a specific answer.

Read what it will never do

The governing charter sets out the things the system is not permitted to do, and it ships with every license tier. Ask any vendor for their equivalent before you buy, not after.

Where it fits and where it does not

It suits operators who intend to run it

It is licensed to people and firms who will run it themselves, on their own account, with their own keys. It is not a managed service and there is no version where we trade on your behalf.

It is not for someone wanting a signal feed

If you want alerts to act on manually, this is more system than you need. The value here is that judgment is continuous and does not wait for you.

It runs US equities, crypto and multi-leg options

Equities on the consolidated tape, crypto around the clock, and defined-risk options spreads. If your market is outside that, it is the wrong tool today.

What you actually take delivery of

A native application, not a login

It installs on your own Mac, or on Windows, and runs there. There is no account to log into and no dashboard that stops working when a subscription lapses.

The research, not just the result

Every license tier includes the reproducible research and the owner's guide, because a system you cannot audit is one you should not run. That is a deliberate commercial choice: it makes us easier to check and harder to take on faith.

Books that reconcile to your broker

Realised profit and fees are rebuilt from the brokerage's own record rather than from what the software intended, and positions and protection are reconciled at startup before any new order. This is the unglamorous part that decides whether the numbers on your screen are real.

Where algorithmic trading software usually fails

The rules keep firing after the regime changes

This is the single most common way these systems lose money, and it is invisible from inside a product that has no concept of being wrong. Ask any vendor how their software detects that a rule has stopped working, and treat vagueness as the answer.

The backtest assumed fills nobody gets

Frictionless fills, mid-price on spreads and no market impact turn mediocre systems into impressive charts. A cost model that reflects what you actually pay produces less flattering and far more useful numbers.

Nobody reconciles until something breaks

Software that reports what it intended rather than what the broker recorded drifts from reality quietly, and the gap is usually discovered at the worst moment.

Common questions

What is the difference between algorithmic trading software and this?
Conventional algorithmic trading software executes rules a person wrote and has no mechanism for noticing when those rules stop working. TradeAgentic grades every decision against what the market subsequently did, records refusals as well as trades, and moves capital between strategies on measured, cost-adjusted results rather than on the rule you set.
Do I need to write code to use algorithmic trading software?
Not with this one. There are no strategy switches in the product and nothing to program. You set your broker keys and your risk limits, and the desk decides between strategies from their measured results. If you want to change the system itself rather than run it, that is the source license.
Can I verify the backtests before buying?
Yes, and you should. The research is reproducible from one command on your own machine, with a real cost model and options repricing rather than frictionless fills. Treat any backtest you cannot rerun yourself as marketing, whoever is showing it to you.
Is algorithmic trading software worth it?
It depends entirely on whether the system can tell you why it did something and whether it improves. Software that executes rules you wrote is worth roughly what those rules are worth, and rules decay. Judge it on the decision record and reproducible research rather than on a returns curve, and run it in paper for months before funding it.

TradeAgentic is an autonomous trading desk for macOS and Windows, licensed to operators and firms who intend to run it themselves.

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