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Jazyk AngličtinaAngličtina
Kniha Brožovaná
Kniha Where AI Invests Gokhan Aksekili
Libristo kód: 54215684
Nakladatelství Independently published, říjen 2026
The age of investing by instinct alone is ending. Welcome to the age of algorithmic intelligence.Mod... Celý popis
? points 24 b Nové Nové
243 Kč
Skladem u dodavatele Odesíláme za 9-13 dnů

Až 30 dní na vrácení zboží

The age of investing by instinct alone is ending. Welcome to the age of algorithmic intelligence.

Modern financial markets move faster than any individual investor can realistically follow. Institutional funds process enormous amounts of financial data, news, market sentiment, and quantitative signals while retail investors are often left navigating the same markets through fragmented information, emotional reactions, and hours of manual research.

Where AI Invests: The Prompt Engineering Guide for Crypto, Stocks, and Algorithmic Trading is designed to narrow that analytical gap.

Rather than treating artificial intelligence as a crystal ball, Gokhan Aksekili presents it as something far more useful: a powerful research and decision-support system. Through practical frameworks and ready-to-use prompts, the book demonstrates how tools such as ChatGPT, Claude, Gemini, and DeepSeek can be assigned specialized financial roles and combined into a disciplined analytical workflow.

WHAT YOU WILL DISCOVER INSIDE

The AI Language for Investors
Learn the four-part structure behind effective financial prompts-Role, Context, Task, and Format-and transform vague questions into focused analytical requests.

Crypto Research with AI
Analyze whitepapers, tokenomics, smart contracts, wallet activity, on-chain data, social sentiment, and potential structural risks before committing capital.

Smarter Stock Analysis
Use AI to examine lengthy annual reports, corporate balance sheets, financial ratios, regulatory filings, and macroeconomic developments without becoming buried in information.

Market Sentiment and Macro Intelligence
Build structured workflows for evaluating breaking financial news, central-bank decisions, market narratives, and changing risk conditions.

Risk and Portfolio Discipline
Use AI as a research assistant for portfolio analysis and risk management while developing rules designed to reduce the influence of FOMO, panic, and impulsive decision-making.

Build Your Own AI Board
Combine multiple AI models as independent analytical specialists, cross-check their conclusions, challenge conflicting data, and create a more robust decision-making process.

The 10-Minute Market Scan
Create a repeatable daily workflow covering macro developments, portfolio risks, market sentiment, and potential areas requiring further investigation.

The Last Line of Defense: Verification
Understand AI hallucinations, demand primary sources, verify calculations, and learn why artificial intelligence should enhance human judgment-not replace it.

THE MACHINE IS POWERFUL. THE FINAL DECISION IS STILL YOURS.

Where AI Invests is not a promise that artificial intelligence can predict the future. The book explicitly recognizes Black Swan events, incomplete information, model hallucinations, and the limits of algorithmic forecasting. Its central principle is that AI is not an autopilot-it is a powerful analytical instrument whose value depends on the discipline of the person using it.

The future of investing will not belong to those who blindly follow algorithms or to those who ignore them.

It will belong to investors who know how to question the machine, verify the data, control their emotions, and make better-informed decisions.

Learn the language of AI. Build your analytical system. Keep control of the final decision.

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Informace o knize

Plný název Where AI Invests
Jazyk Angličtina
Vazba Kniha - Brožovaná
Datum vydání 2026
Počet stran 48
EAN 9798162859741
Libristo kód 54215684
Nakladatelství Independently published
Váha 79
Rozměry 152 x 229 x 3
Darujte tuto knihu ještě dnes
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1 Přidejte knihu do košíku a zvolte doručit jako dárek 2 Obratem vám zašleme poukaz 3 Kniha dorazí na adresu obdarovaného

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