- Main
- Computers - Artificial Intelligence (AI)
- Deep Learning for Finance: Creating...
Deep Learning for Finance: Creating Machine & Deep Learning Models for Trading in Python
Sofien KaabarQuanto ti piace questo libro?
Qual è la qualità del file?
Scarica il libro per la valutazione della qualità
Qual è la qualità dei file scaricati?
Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create and backtest trading algorithms based on machine learning and reinforcement learning.
Sofien Kaabar—financial author, trading consultant, and institutional market strategist—introduces deep learning strategies that combine technical and quantitative analyses. By fusing deep learning concepts with technical analysis, this unique book presents outside-the-box ideas in the world of financial trading. This A-Z guide also includes a full introduction to technical analysis, evaluating machine learning algorithms, and algorithm optimization.
Understand and create machine learning and deep learning models
Explore the details behind reinforcement learning and see how it's used in time series
Understand how to interpret performance evaluation metrics
Examine technical analysis and learn how it works in financial markets
Create technical indicators in Python and combine them with ML models for optimization
Evaluate the models' profitability and predictability to understand their limitations and potential
Sofien Kaabar—financial author, trading consultant, and institutional market strategist—introduces deep learning strategies that combine technical and quantitative analyses. By fusing deep learning concepts with technical analysis, this unique book presents outside-the-box ideas in the world of financial trading. This A-Z guide also includes a full introduction to technical analysis, evaluating machine learning algorithms, and algorithm optimization.
Understand and create machine learning and deep learning models
Explore the details behind reinforcement learning and see how it's used in time series
Understand how to interpret performance evaluation metrics
Examine technical analysis and learn how it works in financial markets
Create technical indicators in Python and combine them with ML models for optimization
Evaluate the models' profitability and predictability to understand their limitations and potential
Categorie:
Anno:
2024
Edizione:
1
Casa editrice:
O'Reilly Media / O'Reilly & Associates Inc
Lingua:
english
Pagine:
362
ISBN 10:
1098148398
ISBN 13:
9781098148393
File:
PDF, 8.72 MB
I tuoi tag:
IPFS:
CID , CID Blake2b
english, 2024
Scaricare (pdf, 8.72 MB)
- Checking other formats...
- Convertire a
- Sbloccare file di conversione di dimensioni maggiori di 8 MB Premium
Il file verrà inviato al tuo indirizzo email. Ci vogliono fino a 1-5 minuti prima di riceverlo.
Entro 1-5 minuti il file verrà consegnato al tuo account Telegram.
Attenzione: assicurati di aver collegato il tuo account al bot Z-Library Telegram.
Entro 1-5 minuti il file verrà consegnato al tuo dispositivo Kindle.
Nota: devi verificare ogni libro che desideri inviare al tuo Kindle. Controlla la tua casella di posta per l'e-mail di verifica da Amazon Kindle Support.
La conversione in è in corso
La conversione in non è riuscita
Vantaggi dello status Premium
- Inviare a lettori di e-book
- Limite aumentato di download
- Converti i file
- Più risultati di ricerca
- Altri vantaggi