Glossary
Every technical term used across EGY-AI, explained in plain language.
A set of rules or steps a computer follows to solve a problem or make a decision.
Using computer programs to execute trades automatically based on predefined rules or learned strategies.
The lowest price a seller is willing to accept right now. Also called the offer.
Testing a trading strategy on historical data to see how it would have performed in the past.
The highest price a buyer is willing to pay right now.
Bitcoin. The world's first and most traded cryptocurrency.
A data point summarising price movement over a time period — open, high, low, close, and volume.
Another word for genome in genetic algorithms — the full set of parameters describing one individual.
An automatic rule that pauses trading when losses exceed a threshold. EGY-AI uses an 8% session stop-loss.
In a genetic algorithm, combining two parent individuals to create a child that inherits traits from both.
The volume of orders waiting at each price level in the order book. More depth = more liquidity.
The percentage drop from a portfolio's peak value to its lowest point. A key risk metric.
In a genetic algorithm, keeping the best individuals unchanged in the next generation so good solutions are never lost.
One complete generation in a genetic algorithm: evaluate → select → crossover → mutate → repeat.
The formula used to score how good an individual is. EGY-AI's fitness penalises drawdown and fees.
One complete cycle of a genetic algorithm. EGY-AI runs one generation every 45 seconds.
An optimisation technique inspired by biological evolution. Evolves a population of solutions toward better performance.
One candidate solution in a genetic algorithm. In EGY-AI, a specific set of strategy parameters.
Borrowing to amplify your position size. 2x leverage means you control twice as much as you put in — gains and losses are both doubled.
How easily an asset can be bought or sold without significantly moving its price.
A position that profits when the price goes up. 'Going long' means buying.
The speed and strength of recent price movement. RSI measures momentum.
The average price over a recent window of candles. Smooths out noise to show trend direction.
Randomly changing part of an individual's genome to introduce new variation and prevent stagnation.
The web framework EGY-AI is built on. A React-based framework for building production web applications.
A live list of all buy and sell orders waiting to be matched on an exchange.
RSI above 70 — the asset has been rising strongly, potential reversal zone.
RSI below 30 — the asset has been falling strongly, potential bounce zone.
Profit and Loss. The net gain or loss from your trading activity.
In a genetic algorithm, the group of candidate solutions being evolved simultaneously.
Relative Strength Index. A 0–100 momentum indicator measuring the speed of recent price changes.
Choosing which individuals reproduce. EGY-AI uses tournament selection.
A position that profits when the price goes down. 'Going short' means selling what you don't own.
EGY-AI is a trading simulator — real market data, but no real money.
The difference between expected trade price and actual fill price, caused by fast market movement.
The gap between best bid and best ask. Smaller spread = more liquid market.
A rule that closes a position or pauses trading when losses hit a set limit.
A selection method where a small random group competes and the best one wins — used in EGY-AI's GA.
A stablecoin pegged 1:1 to the US Dollar. Used as the quote currency in BTC/USDT.
How much and how fast a price moves. High volatility = large price swings in short time.
A real-time communication protocol. EGY-AI uses it to receive live Binance data with minimal delay.
The state management library EGY-AI uses. Manages shared data (price, balances, GA state) across all components.