Algo trading, explained in plain words

Algorithmic trading can sound like something only large funds with supercomputers do. In practice the idea is simple, and understanding it properly is the best protection against unrealistic expectations.

Start with the word "algorithm"

An algorithm is just a set of written instructions that is followed step by step. A recipe is an algorithm. So is the checklist a pilot runs before take-off.

The point of writing instructions down is that they are followed the same way every time, whoever is following them and however they feel that day.

So what is algo trading?

Algo trading means writing your trading plan as precise rules, and letting a computer follow those rules for you. A complete set of rules answers three questions before any trade happens:

1. When to enter. What has to be true in the market before a trade is taken?
2. How much. How large should the position be?
3. When to exit. Where is the stop loss, is there a target, and is there a fixed time to close?

Once the rules exist, the computer checks them continuously and acts the moment they are met.

A simple example, in words

Here is what a basic intraday rule might look like, written in plain language:

At 9:20 in the morning, if the entry conditions are met, sell a specific NIFTY option and buy a farther option as a hedge. Exit each leg if it hits its stop loss. Close everything at 3:15 in the afternoon, whatever happens.

That is the whole plan. There is no room for "let me wait a little longer" or "this time feels different".

How a strategy actually runs

Our strategies run on Tradetron, a platform that executes trading rules automatically. The flow is:

1. You choose a strategy on Tradetron and read what it does.
2. You connect your own broker account to Tradetron.
3. You deploy the strategy, and can start with paper trading, which uses no real money.
4. When the rules are met, Tradetron sends the orders to your broker.

Your money and positions stay in your own broker account the whole time. The strategy provider never holds your funds.

What algo trading is good at

• Discipline. Rules do not panic, chase, or hold a losing trade out of hope.
• Consistency. The same situation gets the same response, every time.
• Speed and attention. A computer can watch several positions every second without getting tired.
• Testability. Clear rules can be tested on years of past market data and reviewed after they go live.

What it is not

It is not a money machine. A strategy is only as good as its rules, and markets change. Strategies go through losing periods, sometimes long ones.

It does not remove risk. Trading in derivatives involves substantial risk of loss. Algorithms reduce emotional mistakes, but they add technology risk: platforms, brokers, exchanges and internet connections can all fail.

Past testing does not predict the future. A strategy that looked steady on historical data can behave very differently in live markets.

It is not set-and-forget. You still need to understand what is running in your account, watch your positions, and know how to exit through your broker if something goes wrong.

Questions to ask before using any algo

Whoever provides it, these questions are worth asking:

• What does the strategy trade, and at what times?
• What are its exit rules? Is there a stop loss on every position?
• What happens to overnight positions if the market gaps?
• Where is my money held? It should always be in my own broker account.
• Is the provider registered with SEBI, and if not, what are they actually offering?
• Can I paper trade it first?

If a provider promises fixed or "safe" results, treat that as a warning sign.

The takeaway

Algo trading is not magic. It is a way of turning a trading plan into rules and following them without emotion. Used with clear rules, sensible risk controls and realistic expectations, it brings discipline. It never brings certainty.