You will never know every line of code behind those decisions, nor do you need to. What matters is recognizing that under certain conditions the machines are likely to be forced in a particular direction, and when too many of them respond to the same signal at once, the initial move can overshoot remarkably quickly.
I spent roughly the final fifteen years of my career helping build what I sometimes jokingly describe as the modern retail trader mousetrap, so perhaps I am partly responsible for creating some of the machinery that now makes life so difficult for the person sitting at home staring at a flashing price screen.
It is also why I get asked so often how an ordinary trader is supposed to compete with the algorithmic horde that now dominates price action around payrolls, CPI, central bank decisions, geopolitical headlines and just about every other piece of information capable of moving a market.
The first answer is simple. You are not going to beat them at their own game.
When payrolls hit the screen, machines are reading the number, comparing it with consensus, checking revisions and firing orders across rates, currencies and equities before a human trader has finished processing the headline. Trying to win that race is pointless. You might as well challenge a Formula One car to a sprint because you have been doing extra hill sessions.
But that does not mean the machines are unbeatable. It means you need to stop competing where they have an overwhelming structural advantage.
Vineer Bhansali made this point essentially nearly a decade ago in How to Beat the Machines Before They Beat You. The technology has changed dramatically since then, but his central observation still holds. Algorithms are fast, disciplined and unemotional, yet the very qualities that make them so powerful also make them predictable.
They have reaction functions.
Volatility reaches a certain level, and exposure may need to come down. A trend strengthens and systematic money adds to it. Price levels break, and stops begin to fire. As an options book moves through a particular zone, dealers have to adjust their hedges. An economic number lands far enough from consensus and short-term models respond immediately.
You will never know every line of code behind those decisions, nor do you need to. What matters is recognizing that under certain conditions the machines are likely to be forced in a particular direction, and when too many of them respond to the same signal at once, the initial move can overshoot remarkably quickly.
That is where the discretionary trader can start playing a different game.
One of the biggest mistakes retail traders make around major news events is believing they must participate in the initial move. Payrolls print strong, the dollar jumps, and suddenly there is a feeling that the trade has already left without them. CPI comes in soft, bonds rally instantly, and the instinct is to chase.
Let the machines have that move.
They spent billions building the infrastructure to capture those first milliseconds. Unless your server is sitting beside theirs, you are not getting them back.
The more interesting part often comes afterwards, when the market starts showing you how positioning has absorbed the news.
A strong payroll number and the dollar jumps. Fine. Now what?
Do Treasury yields confirm it? Does USD/JPY hold the move? Does gold respond the way it should? Is the dollar rally broad, or does it start leaking lower almost immediately?
That is where the information begins to improve.
The machine has already processed the headline. What you are now watching is the market processing the machine.
And sometimes the most valuable signal is what does not happen.
A strong number and the dollar cannot rally. A weak number and bonds refuse to go higher. Oil spikes on a geopolitical headline and then gives it all back. Gold should be falling with real yields, yet sellers cannot push it down.
Those failures tell you something about positioning that the headline itself never could.
The news tells you what happened. The reaction tells you who was leaning the wrong way before it happened.
This matters because modern markets are increasingly filled with strategies responding not just to information but to one another. Rising volatility can force risk reduction, pushing prices lower and raising volatility further. Stops begin firing, trend models respond, options hedges change, and liquidity becomes thinner just as more orders are arriving.
Suddenly the market is no longer trading the original headline. It is trading the consequences of the reaction to that headline.
That is why moves can overshoot so violently.
It is tempting to say the machines are panicking, but machines do not panic. They simply follow their instructions so efficiently that when enough of them receive similar signals at the same time, the collective result can look remarkably like panic.
The human advantage is that you do not have to join them.
You can wait.
That sounds almost too simple, but it is probably one of the most useful edges left to the discretionary trader. A systematic strategy may have to reduce exposure. An options dealer may have to hedge. An execution algorithm may have an institutional order that still needs to be completed.
You have no such obligation.
If you cannot compete with the machine on speed, change the clock.
Give the first move away. Let the market expose where the pressure is. Watch the cross-asset response. See whether the move holds once the initial burst of mechanical trading has passed.
The further you move away from the first few seconds, the more interpretation matters and the less overwhelming the machine’s speed advantage becomes.
That is also where experience still counts.
Algorithms are highly effective at identifying patterns, but every model is built on assumptions about how markets behave. Those assumptions hold until the environment changes enough that they no longer work as expected.
Correlations are not laws of physics. The dollar does not always rally when yields rise. Gold does not always fall when real rates move higher. Bonds do not always protect equities. Markets can spend years teaching traders and machines to expect one relationship, only to suddenly break it.
The machine will eventually adjust. It usually does.
But the transition is often where the discretionary trader gets a window.
None of this is an argument that human instinct is superior to systematic trading. Quite the opposite. Machines are vastly better at discipline than most humans will ever be. They do not revenge-trade, move their stop because a position has hurt their feelings, or turn a bad short-term trade into a long-term investment because they cannot bear to take the loss.
If you want to compete with them, borrow that discipline.
But do not borrow their clock.
The modern market constantly tries to make you feel late. The price jumps, the screen flashes, and somebody on social media apparently bought the low, sold the high and was home for lunch before you had found the economic release.
Ignore it.
You do not need the first ten points of the move.
Let the machines fight over those.
Watch where they push the market, what follows and, more importantly, what refuses to follow. Pay particular attention when news that should send a market sharply in one direction suddenly cannot keep it there.
That is often the moment when the machinery has shown you its hand.
You are never going to outrun the algorithmic horde.
You do not need to.
You need to understand what makes it run, where it is likely to run next and when too many machines have been programmed to head in the same direction.
Then you choose whether the trade is worth taking.
That is a much better race for a human to enter.