wao (47 risultati)

Hardcover. Condizione: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Condizione: Like New. Never used! Light wear to corners/edges from shelving.

Condizione: New. New.

Hardcover. Condizione: Gut. 22 cm XV, 344 S. Hardcover. Sprache: Englisch, Zustand: Gut min. gebräunt (Innen); Besitzerstempel (Innen); Einband Außen hat geringe Gebrauchsspuren; Archivex. mit Klebestreifenrest (Außen); Besitzerstempel auf Schnitt; Vorderdeckel hat eine Druckstelle, ist gering fleckig; Buchrücken ist gering lichtrandig; * Die Photos sind original von uns erstellt worden, u.a. erkennbar an einem kleinen weißen Stück Papier im oberen Schnitt. Ab und an verwenden Suchmaschinen Verlagsphotos, bei den Portalen selbst, werden aber nur unsere Originalphotos gezeigt.

Paperback or Softback. Condizione: New. AI Smart Trading with TradingView: Includes Ready-Prompts, Trading Strategies, NewsFeeds, Sentiments, and Volume Trends. Book.

Paperback. Condizione: Brand New. Spanish language. 7.44x4.92x0.87 inches. In Stock.

Paperback. Condizione: New.

Hardcover. Condizione: Very Good +. Condizione sovraccoperta: Very Good. A O Scott (illustratore). Tan cloth with brown cover and spine lettering and front cover pictorial. Plain paper frontispiece, orange and white Gretta paste downs and flyleaves, yellow spine dust jacket, .65 price in pencil on front flyleaf. Top edge of text block dyed black. Dust jacket flap lists to The Melted Coins, seven Lone Rangers to jacket rear flap, rear panel lists Thrill-Packed Air Combat Stories. Dust jacket with light edge wear at extremities. PayPal accepted.

Paperback. Condizione: New.

Hardcover. Condizione: Very Good +. Condizione sovraccoperta: Very Good -. A O Scott (illustratore). Tan cloth with brown cover and spine lettering and front cover pictorial. Plain paper frontispiece, orange and white Gretta paste downs and flyleaves, yellow spine dust jacket, .65 price in pencil on front flyleaf. Top edge of text block dyed black. Small damp stain to jacket spine, Dust jacket flap lists to The Secret Panel, seven Lone Rangers to jacket rear flap, rear panel lists Thrill-Packed Aviation Stories. Scott 1944 cover art. PayPal accepted.

Paperback or Softback. Condizione: New. Build GenAI Agents with OpenAI + vLLM: Develop portable AI agents in Python with structured outputs, tool calling, OpenAI Agents SDK, vLLM, model swit. Book.

Condizione: very_good. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in very good condition! The cover and any other included accessories are also in very good condition showing some minor use. The spine is straight, there are no rips tears or creases on the cover or the pages.

Paperback. Condizione: New.

Paperback. Condizione: New.

Paperback. Condizione: new. Paperback. A charged dance of power and desire unfolds when two strangers push each other past the edge of control. In the dim pulse of a late-night bar, Jake and Mara begin a slow, strategic battle of wills-each trying to lead, each refusing to yield. What starts as a flirtation sharpens into a game of dominance and surrender, where every look, breath, and hesitation becomes part of the tension. As the night deepens, walls fall, roles blur, and both discover that giving in can be just as intoxicating as taking the lead. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condizione: 1900-1930. SMIT W. A. O Salutaris à deux voix égales avec accompagnement d'Orgue par W. A. Smit Supplément à la Revue Musicale Sainte-Cécile XXe siècle Octobre 1905 Petit format : 21.2 x 13.6 cm 3 pages Très bon état m1226 Nouveau.

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condizione: new. Paperback. You will find this AI Smart Trading book as a rapid learning and active trading playbook that shows you to pair ChatGPT with TradingView to turn signals into repeatable rules and clear actions.To start, we've got short daily rituals that turn premarket scans into a one-page plan for the opening range, and minute-level execution cues that line up perfectly with orders. We've got methods that teach you how to size fixed risk units to keep your dollar loss steady while your position size adapts to volatility so you can predict your exposure. The prompts in the book give you numbers, times, and labels for the source, so you can audit and act on every signal right away. You'll get reliable prompt templates, entries, stops, partial exit schedules, and trailing rules with numeric thresholds. All of this lets you execute without extra arithmetic. The workflow combines watchlist rotation, annotated chart snapshots, and compact trade cards that save each idea to a journal for weekly scoring and continuous improvement. This book covers midday maintenance rituals that force short checks on thesis validity, volume confirmation, and catalyst updates. This means that tightening or standing down happens by rule rather than emotion.The book also covers a very strong library of stored prompts, along with a simple archive convert prompt, makes prompt engineering a process that you can measure and improve upon each time you use it. You'll be able to make decisions faster, cut out the ambiguity, and get consistent results. This book gives you everything you need to build a prompt-driven desk, from quick ideas to detailed trading triggers.Key FeaturesDesign workflows that convert raw feeds into repeatable signals with audit trails.Use prompt templates as features that return numeric fields, timestamps, and outputs.You can measure the impact by tracking follow-through rates per prompt version and signal type.Take charge of compact UI outputs, ensuring they map directly to orders for lightning-fast execution.Arrange outputs and run weekly scoring to ensure prompts evolve into durable trading edges.Refuse any missing live data and reject fabricated claims.Align product metrics to outcomes by tracking MAE, MFE, realized PnL, and adherence.Handle prompt engineering like you would experiment management, using version labels and iterative tests.Table of ContentHow ChatGPT Accelerates Profitable Day TradingGetting Used to TradingViewNews, Sentiment, and Calendar SignalsHigh-Impact Prompt CraftingSentiment and Volume Patterns That MatterSingle-Ticker Intraday Live Prompting This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condizione: new. Paperback. AI agents are getting easier to build, but the surrounding ecosystem of models, SDKs, and frameworks is changing quickly. A lot of agent apps get tricky to maintain since they depend too much on a certain provider, library, or deployment setup. This book looks at a practical alternative, which is to make AI agents whose main logic doesn't change while models, SDKs, and runtimes can be changed around it. It's not about using complicated frameworks. Rather, this book shows you simple architectural patterns that let you set up an agent application so that tools, schemas, prompts, and business logic can stay separate from the runtime layer.For starters, it'll be a simple loop with agents, and we'll gradually build on that with tools that make things deterministic, outputs in a structured JSON format, and schema validation. It'll teach skills, like switching between models through configuration, running the same agent with hosted models or local inference using vLLM, and isolating SDK-specific integrations behind small adapter layers. Later, we will focus on packaging and deployment, in which we will convert the agent into a command-line tool, expose it through a minimal HTTP API, and package the application using Docker. Ultimately, the book puts the project together as a reusable starter template that can be used as a basis for future agent-based applications.Instead of talking about shortcuts or automation, this book focuses on practical development patterns for building maintainable AI agents. Basically, this book is perfect for Python developers, software engineers, and AI practitioners who want a step-by-step process for designing agents that can adapt as the surrounding ecosystem changes.Key LearningsBuild GenAI agents using simple agent loop that accepts prompts, calls tools, and returns structured AI responses.Use structured JSON outputs and Pydantic schemas to make AI agent responses reliable and safe for automation.Design AI tools as deterministic Python functions so agents can call calculators, summarizers, and utilities predictably.Create portable AI agents by separating business logic from LLM and model APIs.Implement a model gateway pattern to switch between OpenAI models, local LLMs, or other providers via configuration.Run the same agent with OpenAI models or local LLM inference using vLLM.Prevent SDK lock-in by isolating AI SDK integrations behind runtime adapters.Use LLM regression prompts and schema validation for better stability of AI Agents during switching the models.Package AI agent as CLI tool and HTTP API for real applications and integrations.Deploy AI agents with Docker containers and environment variable. Table of ContentShipping GenAI Agent in MinutesBuilding Agent WorkflowsReliable and Structured Agent OutputSwitching Models without Rewriting AgentRunning vLLMDesigning Stable Business Logic across Multiple SDKsAgent Packaging and Deployment This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condizione: New. Print on Demand.

Condizione: New. Print on Demand.

Condizione: New. Print on Demand.

Condizione: New. PRINT ON DEMAND.

Condizione: New. Print on Demand.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -You will find this AI Smart Trading book as a rapid learning and active trading playbook that shows you to pair ChatGPT with TradingView to turn signals into repeatable rules and clear actions.To start, we've got short daily rituals that turn premarket scans into a one-page plan for the opening range, and minute-level execution cues that line up perfectly with orders. We've got methods that teach you how to size fixed risk units to keep your dollar loss steady while your position size adapts to volatility so you can predict your exposure. The prompts in the book give you numbers, times, and labels for the source, so you can audit and act on every signal right away. You'll get reliable prompt templates, entries, stops, partial exit schedules, and trailing rules with numeric thresholds. All of this lets you execute without extra arithmetic. The workflow combines watchlist rotation, annotated chart snapshots, and compact trade cards that save each idea to a journal for weekly scoring and continuous improvement. This book covers midday maintenance rituals that force short checks on thesis validity, volume confirmation, and catalyst updates. This means that tightening or standing down happens by rule rather than emotion.The book also covers a very strong library of stored prompts, along with a simple archive convert prompt, makes prompt engineering a process that you can measure and improve upon each time you use it. You'll be able to make decisions faster, cut out the ambiguity, and get consistent results. This book gives you everything you need to build a prompt-driven desk, from quick ideas to detailed trading triggers.Key FeaturesDesign workflows that convert raw feeds into repeatable signals with audit trails.Use prompt templates as features that return numeric fields, timestamps, and outputs.You can measure the impact by tracking follow-through rates per prompt version and signal type.Take charge of compact UI outputs, ensuring they map directly to orders for lightning-fast execution.Arrange outputs and run weekly scoring to ensure prompts evolve into durable trading edges.Refuse any missing live data and reject fabricated claims.Align product metrics to outcomes by tracking MAE, MFE, realized PnL, and adherence.Handle prompt engineering like you would experiment management, using version labels and iterative tests.Table of ContentHow ChatGPT Accelerates Profitable Day TradingGetting Used to TradingViewNews, Sentiment, and Calendar SignalsHigh-Impact Prompt CraftingSentiment and Volume Patterns That MatterSingle-Ticker Intraday Live Prompting 116 pp. Englisch.