Plain-English definitions, written by the people who build it

A trading bot that runs inside MetaTrader 4 or 5 and executes orders automatically based on coded rules.

MetaQuotes Language 5 — the object-oriented programming language used to build Expert Advisors, indicators, and scripts on MetaTrader 5.

MetaQuotes Language 4 — the legacy procedural language for building Expert Advisors and indicators on MetaTrader 4.

MetaQuotes' multi-asset trading platform — supports forex, CFDs, stocks, futures, and crypto. Hosts EAs written in MQL5.

Legacy MetaQuotes terminal still used by most retail forex brokers in 2026; runs MQL4 EAs.

TradingView's domain-specific language for writing custom indicators, screeners, and strategies on the TradingView charting platform.

A webhook-driven service that converts TradingView Pine Script alerts into real broker orders on MT4/MT5, Binance, or other exchanges.

A funded-trading challenge firm (FTMO, MyForexFunds, The Funded Trader, Apex) that lets traders prove an algo on a demo, then funds it on a live account with profit-share.

AI systems where an LLM plans and executes multi-step tasks by calling external tools, accessing files, browsing, and adjusting its own approach based on results.

Anthropic's official Python and TypeScript SDK for building production agents with Claude — handles the tool-use loop, hooks, and slash commands.

An AI pattern that retrieves relevant documents from a vector database and injects them into the LLM prompt — so the model can answer from custom knowledge it was not trained on.

A database optimized for similarity search over high-dimensional embedding vectors — the backbone of RAG and semantic search.

Dense numerical vector representations of text (or images, code, audio) where semantically similar inputs map to nearby vectors.

A capability of modern LLMs where the model emits structured JSON requesting that the host program execute a named tool with arguments — used to give the LLM internet, code execution, database, or any external action.

A neural network with billions of parameters trained on broad text corpora to predict and generate language — the engine behind ChatGPT, Claude, and Gemini.

Next.js 13+'s file-system router built on React Server Components — replaces the Pages Router for new projects.

A React 19+ rendering model where components run on the server, returning a serialized tree to the client — zero JS for static parts.

Next.js / React 19 server functions that run on the server but can be called from a client component as if they were local — eliminates the API-route boilerplate for forms and mutations.

Amazon's serverless container runtime — runs Docker containers without managing EC2 instances; pay per vCPU/GB-hour.

AWS managed Postgres / MySQL with separated storage and compute — auto-scales storage, supports zero-downtime upgrades, has Aurora Serverless v2 for spiky workloads.

The world's most advanced open-source relational database — first choice for B2B SaaS, AI/vector workloads (with pgvector), and anything that needs strong consistency.

A subscription-billed software product sold to businesses (not consumers), typically multi-tenant, with org-level auth, role-based access, and per-seat or usage-based pricing.

An architecture where one application instance serves many customer organisations, with strong logical (and sometimes physical) isolation of their data.

A pricing model where customers are charged for what they consume — API calls, GB of storage, minutes of compute, messages sent — instead of (or on top of) a flat subscription.

Payments and billing platform — used by most B2B SaaS startups for subscriptions, invoices, marketplace payouts, and metered billing.