Mastering financial pattern recognition

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Candlesticks have become a key component of platforms and charting programs for financial trading. With these charts, traders can learn underlying patterns for interpreting price action history and forecasts. This A-Z guide shows portfolio managers, quants, strategists, and analysts how to use Python to recognize, scan, trade, and back-test the profitability of candlestick patterns.

Financial author, trading consultant, and institutional market strategist Sofien Kaabar shows you how to create a candlestick scanner and indicator so you can compare the profitability of these patterns. With this hands-on book, you'll also explore a new type of charting system similar to candlesticks, as well as new patterns that have never been presented before.

With this book, you will:

Create and understand the conditions required for classic and modern candlestick patterns Learn the market psychology behind them Use a framework to learn how back-testing trading strategies are conducted Explore different charting systems and understand their limitations Import OHLC historical FX data in Python in different time frames Use algorithms to scan for and reproduce patterns Learn a pattern's potential by evaluating its profitability and predictability

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Learn the skills necessary to design build and deploy applications powered by machine learning ml through the course of this hands on book you ll build an example ml driven application from initial idea to deployed product data scientists software engineers and product managers includin Direct beschikbaar .. MEER INFO

Mastering Financial Pattern Recognition

Rating: 0 / 5 | Prijs: € 56.27

Candlesticks have become a key component of platforms and charting programs for financial trading with these charts traders can learn underlying patterns for interpreting price action history and forecasts this a z guide shows portfolio managers quants strategists and analysts how to use pytho Uiterlijk 29 november in huis .. MEER INFO

Taal: en

Bindwijze: E-book

Oorspronkelijke releasedatum: 18 oktober 2022

Ebook Formaat: Epub zonder kopieerbeveiliging (DRM)

Hoofdauteur: Sofien Kaabar

Hoofduitgeverij: O'Reilly Media

Lees dit ebook op: Desktop (Mac en Windows)

Lees dit ebook op: Kobo e-reader

Lees dit ebook op: Android (smartphone en tablet)

Lees dit ebook op: iOS (smartphone en tablet)

Lees dit ebook op: Windows (smartphone en tablet)

Editie: 1

Studieboek: Nee

EAN: 9781098120436

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