AI for Investing

Rules & Risks in 2025: EU AI Act Milestones and the SEC’s Withdrawal of the ‘Predictive Analytics’ Proposal—Implications for Retail Investors

AI for Investing

For anyone using AI to inform investments, 2025 brings a mix of clarity and caution. Europe’s AI Act is now in force with staged applicability, while US regulators stepped back from several expansive AI‑related proposals. Retail‑focused sites should adopt good‑practice guardrails regardless of jurisdiction. EU AI Act milestones (investor‑relevant) Implications for tools and content US update: SEC […]

Rules & Risks in 2025: EU AI Act Milestones and the SEC’s Withdrawal of the ‘Predictive Analytics’ Proposal—Implications for Retail Investors Read More »

The 2025 AI Investor’s Stack: Tools, Costs, and How to Choose (with Affiliate‑Ready Picks)

AI for Investing

Quick picks (by job‑to‑be‑done) Comparison snapshot Tool Best For Standout Capabilities Typical Cost Tier Notes TradingView Charting, indicators, community Pine v6, strategy tester, alerts $$ Massive script library; affiliate friendly TrendSpider Pattern scans, multi‑timeframe analysis Automated scanning, strategy tests, Sidekick AI $$$ Strong automation & “smart” workflows OpenBB Research terminal Multi‑provider data, notebooks, workspaces $ Open‑source core;

The 2025 AI Investor’s Stack: Tools, Costs, and How to Choose (with Affiliate‑Ready Picks) Read More »

Pine Script v6 + AI: Designing, Testing, and Risk‑Managing Signals That Survive the Real World

AI for Investing

Pine Script v6 introduced cleaner syntax and performance improvements that make systematic iteration faster. For retail traders, the real edge comes from discipline: hypothesis → transparent rules → out‑of‑sample evaluation → risk management. Example concept: 21/50 “reclaim.”Narrative: After a pullback, a trend resumes when price closes back above the 21‑day and then the 50‑day moving average, while drawdown

Pine Script v6 + AI: Designing, Testing, and Risk‑Managing Signals That Survive the Real World Read More »

Build an LLM‑Powered Filings Copilot

AI for Investing

An effective filings copilot is a retrieval‑augmented generation (RAG) pipeline tuned for financial documents. The core idea: store high‑quality text chunks from official filings, then answer questions by retrieving only the relevant excerpts and asking the LLM to reason within those bounds. Data ingestion Index & metadata Query pattern Key features to implement Lightweight stack sketch Quality & compliance guardrails Affiliate

Build an LLM‑Powered Filings Copilot Read More »

The State of AI for Individual Investors in 2025: What Works, What Doesn’t

AI for Investing

Artificial intelligence in public markets has evolved rapidly since 2023. In 2025, most retail‑friendly gains come from using AI to compress research time rather than to replace investment decisions. Large Language Models (LLMs) parse thousands of pages—10‑Ks, 10‑Qs, risk factors, and earnings call transcripts—far faster than a human, highlighting changes in disclosure language, new segment metrics, or

The State of AI for Individual Investors in 2025: What Works, What Doesn’t Read More »

A woman with digital code projections on her face, representing technology and future concepts.

How AI is Revolutionizing Investing: Smarter Decisions, Better Results

AI for Investing

Artificial intelligence (AI) has moved far beyond sci-fi. Today, it’s reshaping the financial world by analyzing massive datasets, predicting market moves, and helping investors make better decisions. The speed, accuracy, and scale of AI have made it one of the most powerful tools in modern investing. But how exactly is it changing the game? Let’s

How AI is Revolutionizing Investing: Smarter Decisions, Better Results Read More »

Menu