What is algo trading?
stop trading on vibes. this is what changes.
This guide is provided by TheWick, Inc., doing business as Wick. Wick has filed an application for registration as an investment adviser with the U.S. Securities and Exchange Commission. That registration is not yet effective, and Wick is not currently a registered investment adviser.
This content is provided for educational purposes only. It does not constitute personalised investment advice, a solicitation, or an offer of advisory services. No advisory relationship exists between Wick and any reader of this content.
All investing involves risk. Algorithmic trading strategies can result in significant losses, including loss of principal. Past performance — including any backtested or simulated performance presented in this guide — is not indicative of future results. Backtested results are hypothetical, were prepared with the benefit of hindsight, and have inherent limitations.
Algo trading — short for algorithmic trading — means using a computer program to execute trades automatically based on predefined rules. The instructions are set in advance: conditions to monitor, signals to act on, rules for entry and exit. Once it's running, it executes without a human making decisions in the moment. Those instructions can be a handful of explicit rules or a statistical model trained on millions of data points.
Why do most retail traders struggle to build an edge?
Most retail traders trade discretionarily: watching markets, forming a view, placing a trade on their own judgment. The first problem with that is strategy. Forming a sound hypothesis about market behavior, testing it rigorously, and validating it out-of-sample requires quantitative expertise most retail traders don't have. Without that foundation, it's difficult to know whether you have an edge — or whether you've been lucky.
The second problem is execution. Even traders with a sound strategy struggle to apply it consistently — overconfident after a win, hesitant after a loss, overriding the plan when it gets uncomfortable. An edge can exist on paper and still break down in practice. That gap between the strategy and what actually gets executed is where much of retail performance is lost.
- Holds losing positions hoping they recover
- Takes profits early out of anxiety
- Overrides a plan after a bad run
- Misses entries while away from the screen
- Applies the same logic differently on different days
- Follows defined exit conditions without hesitation
- Runs the same logic at 3am as at 9am
- Cannot deviate from its instructions mid-trade
- Monitors markets continuously without fatigue
- Applies identical logic to every signal it sees
Algo trading solves the execution problem. The algorithm executes without hesitation, without override, without the temptation to deviate when it gets uncomfortable. But it only executes what it's been given. The strategy still has to be built on genuine research, tested rigorously, and validated against real data — that's the foundation that makes consistent execution worth anything.
What does the institutional track record actually show?
Systematic trading has produced some of the strongest long-term performance records in active trading — not as an anomaly, but repeatedly, across multiple firms, over decades. It's worth understanding before anything else.
The Medallion Fund — Jim Simons’s flagship at Renaissance Technologies — returned approximately 66% annually gross from 1988 to 2018, averaging around 39% net after some of the highest fees in the industry. The S&P 500 averaged roughly 10% over the same period. No losing year across that thirty-year period. (Source: Gregory Zuckerman, The Man Who Solved the Market, 2019.)
Worth saying clearly: Medallion is a closed fund, unavailable to outside investors, and operated with resources and infrastructure not accessible to retail traders. It is cited as evidence of what systematic methods can achieve at their limit — not as a benchmark for what any retail strategy should be expected to deliver.
This is not one fund’s lucky run. D.E. Shaw, Two Sigma, Citadel — systematic strategies now account for a significant share of institutional trading volume.
The track record isn’t a curiosity. It’s the reason institutions moved this direction decades ago.
What changes when you run an algo strategy?
Once you're running a strategy rather than trading on instinct, three things change. The strategy executes consistently — the same logic at market open that it runs at 3am, without fatigue or drift. It reacts faster than any human can, acting on signals the moment conditions are met. And it removes the emotional interference that breaks down most retail traders — no hesitation after a loss, no overconfidence after a win, no overriding the plan when it gets uncomfortable.
None of this makes algo trading risk-free. A strategy with no edge loses money faster and more consistently when automated — not slower. The automation amplifies whatever's in the logic, good or bad.
What does algo trading not do?
Algo trading doesn't predict markets, guarantee returns, or protect you from a strategy losing its edge. It executes a defined approach consistently — which only matters if the approach was sound to begin with.
Running a well-chosen algo strategy isn't passive. You're making real decisions — which strategy fits your risk tolerance, how to size your position, how to read a drawdown. Done well, it's a more disciplined way to operate in markets than most retail traders manage.