Statistically Sound Machine Learning for Algorithmic Trading of Financial Instruments: Developing Predictive-Model-Based Trading Systems Using TSSB - Image 1

£78.40

CREATESPACE Statistically Sound Machine Learning for Algorithmic Trading of Financial Instruments: Developing Predictive-Model-Based Trading Systems Using TSSB

Name: Statistically Sound Machine Learning for Algorithmic Trading of Financial Instruments: Developing Predictive-Model-Based Trading Systems Using TSSB
Brand: CREATESPACE
Price: 78.4 GBP
Availability: InStock

Forecasting

It has never been this cheap. We have no record of a lower price.

£78 today · cheaper than every other day in the last 3 months

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 54 days · 54 data points (no recent data)

Historical

Generating forecast…

Price Distribution

Price distribution over 54 days • 1 price levels

Days at Price

Price Analysis

Most common price: £78 (54 days, 100.0%)

Price range: £78 - £78

Price levels: 1 different prices over 54 days

Description

This book serves two purposes. First, it teaches the importance of using sophisticated yet accessible statistical methods to evaluate a trading system before it is put to real-world use. In order to accommodate readers having limited mathematical background, these techniques are illustrated with step-by-step examples using actual market data, and all examples are explained in plain language.Second, this book shows how the free program TSSB (Trading System Synthesis & Boosting) can be used to develop and test trading systems. The machine learning and statistical algorithms available in TSSB go far beyond those available in other off-the-shelf development software. Intelligent use of these state-of-the-art techniques greatly improves the likelihood of obtaining a trading system whose impressive backtest results continue when the system is put to use in a trading account.Among other things, this book will teach the reader how to: Estimate future performance with rigorous algorithms Evaluate the influence of good luck in backtests Detect overfitting before deploying your system Estimate performance bias due to model fitting and selection of seemingly superior systems Use state-of-the-art ensembles of models to form consensus trade decisions Build optimal portfolios of trading systems and rigorously test their expected performance Search thousands of markets to find subsets that are especially predictable Create trading systems that specialize in specific market regimes such as trending/flat or high/low volatility More information on the TSSB program can be found at TSSBsoftware dot com.

Product Specifications

Brand: CREATESPACE
Format: paperback
ASIN: 148950771X
Category: Books > Subjects > Business, Finance & Law > Professional Finance > Forecasting
Domain: Amazon UK
Release Date: 01 June 2013
Listed Since: 01 June 2013

Barcode

No barcode data available

CREATESPACE Statistically Sound Machine Learning for Algorithmic Trading of Financial Instruments: Developing Predictive-Model-Based Trading Systems Using TSSB

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

The Ultimate Algorithmic Trading System Toolbox + Website: Using Today's Technology To Help You Become A Better Trader (Wiley Trading)

Trading Systems and Methods (Wiley Trading)

Algorithmic Trading Hands-On Approach Using Python

Algorithmic Trading Hands-On Approach Using Python

Testing and Tuning Market Trading Systems: Algorithms in C++

Automated Trading with R: Quantitative Research and Platform Development

Full stack Expert Advisor Programming For Meta trader 5: Learn How to Develop the Perfect Trading Algorithm for Gold /Forex Market

The Backtesting Masterclass: Build, Validate, and Optimize with Python: Ideas are cheap. Verified performance is priceless.

Kaufman Constructs Trading Systems

Algorithmic Trading Systems and Strategies: A New Approach: Design, Build, and Maintain an Effective Strategy Search Mechanism

Tradings Systems That Work: Building and Evaluating Effective Trading Systems (McGraw-Hill Trader's Edge Series)

Building Winning Trading Systems with Tradestation, + Website, 2nd Edition: 542 (Wiley Trading)

The New Trading for a Living: Psychology, Discipline, Trading Tools and Systems, Risk Control, Trade Management (Wiley Trading)

Statistical Arbitrage in Algorithmic Trading: Stationarity, Cointegration, and Mean-Reverting Stochastic Processes With Python (Computational Mathematics Library)

Quantitative Trading Strategies Using Python: Technical Analysis, Statistical Testing, and Machine Learning

Beating the Financial Futures Market: The 2025 Almanac

Building Winning Algorithmic Trading Systems + Website: A Trader's Journey From Data Mining to MonteCarlo Simulation to Live Trading (Wiley Trading)

Beating the Finacial Futures Market: 2023 Deluxe Edition Almanac

Professional Automated Trading: Theory and Practice (Wiley Trading)

Algorithmic Trading: Winning Strategies and Their Rationale: 625 (Wiley Trading)

Python for Algorithmic Trading Cookbook: Recipes for designing, building, and deploying algorithmic trading strategies with Python

Applications of Computational Intelligence in Data-Driven Trading

Le guide ultime pour comprendre le trading (Devenez un expert du trading & de la finance de marché)

Optimal Mean Reversion Trading: Mathematical Analysis And Practical Applications: 1 (Modern Trends In Financial Engineering)