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What is Trading Strategies?

A set of logical rules that determine under what conditions to buy or sell when investing.

Overview

A strategy consists of clear instructions such as 'buy if price falls to level X, sell if price rises to level Y'. These strategies are used to prevent emotional decisions and ensure consistent investment discipline. In the world of artificial intelligence, these strategies form the basic behavioral patterns of agents.

Analogy: It is like a recipe; It is clear which ingredient to add and when, so the taste of the dish is standard every time.

How it works

Investors test their strategies on historical data (backtesting) and start using the most profitable rules in the live market.

Where it is used

It is used in stock market software, investment platforms and artificial intelligence-based financial tools.

Commonly confused with

It is mixed with trading agent; Strategy is the rule, agent is the software that implements this rule.

Frequently asked questions

Does the strategy always work?

No, old strategies may become ineffective when market conditions change.

Who determines the strategy?

Usually, data analysts or artificial intelligence models create the most efficient strategy by examining historical data.

Related terms

This explanation was written in plain language for TreScout and machine-translated from the Turkish original · the Turkish version prevails. If something looks wrong or missing, write to hello@trescout.com. Read in Turkish →