7 posts tagged with "AI"

Pineify has one AI Coding Agent with platform-specific modes, including TradingView, MetaTrader 5, cTrader, and NinjaTrader 8. It keeps the generated source editable, checks supported syntax and APIs, and can revise the current artifact from diagnostics. Pineify also has a separate Finance AI Agent for market research.

Each trading platform has a different language, API, compiler, and test environment. Pineify's checks support the coding loop, but they do not replace TradingView's Pine Editor, MetaEditor, cTrader compilation, NinjaScript Editor, or the native backtest tools.

Pineify Finance Agent is a conversational interface to financial-data tools. It can gather inputs for research, but a retrieved value and an AI explanation are different forms of evidence. Check the source, timestamp, reporting period and calculation before relying on an answer.

TradingView AI Copilot now runs inside Supercharts. Older descriptions of a Chrome-only assistant with a 15-request daily allowance no longer describe the current product. The useful question is how to check an assistant's work before relying on it.

Pineify AI Coding Agent can draft Pine Script from written rules and revise existing code. Its checking workflow can help diagnose syntax errors, but generated code still needs a review of trading logic, order timing, and data behavior. Compilation alone is not a guarantee of a usable or profitable strategy.

Pineify's AI Stock Picker brings ranked stock lists and symbol research views into one interface. Use the list to decide what to investigate, then examine the underlying company and options data. A score is a research input, not a probability of profit or an instruction to buy.

“TradingView MCP server” can refer to TradingView's official service or to an independent project using a similar name. Identify the operator before following installation instructions. These servers do not have interchangeable tools, authentication, data sources, or access terms.

Pineify's Finance Agent helps gather supported company data and develop a stock research note through follow-up questions. The useful output is an explanation you can trace to evidence: what changed in the business, how cash generation compares with reported earnings, and which assumptions drive valuation.

A quote lookup or a confident buy/sell label is not a complete stock analysis. Start with a defined question and keep the source data, calculations, and conclusions separate.