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Algorithmic Trading: Winning Strategies and Their Rationale
book

Algorithmic Trading: Winning Strategies and Their Rationale

by Ernest P. Chan
May 2013
Intermediate to advanced
224 pages
5h 55m
English
Wiley
Content preview from Algorithmic Trading: Winning Strategies and Their Rationale

INDEX

Accenture

ADF (augmented Dickey-Fuller) test

Alexander Filter

Alternative Uptick Rule

APIs (application programming interfaces)

for automatic execution

for news-driven trading

Arbitrage

between ETF and component stocks

future and ETF, extracting roll returns through

Asset classes supported by special-purpose platforms

Augmented Dickey-Fuller (ADF) test

Automated execution platform

backtesting with

choosing

FXone

high-frequency trading and

news-driven trading and

programming skill and choice of

Averaging-in

Back-adjustment methods

Backtesting

currency arbitrage strategies

danger of data errors to

deciding not to use

dividend adjustments and

futures and

high-frequency strategies

IDEs for

importance of

intermarket spread strategies

intraday spread strategies

leading risk indicators

linear mean-reverting strategies

live trading experience diverging from

post-earnings announcement drift strategies

predictive power of

software platform for

stationarity tests compared to

statistical significance of

tick-based strategies

See also Pitfalls of backtesting; Software platform for backtesting

Backwardation

Bamberger, Gerry

Base currency

Beckert, Walter

Bias

data-snooping

look-ahead

survivorship

Black swan events and momentum strategies

Bloomberg Event-Driven Trading

Bollinger bands

Breakout strategies

Brokerage order confirmation latency

Buy-on-gap model

CADF (cointegrated augmented Dickey-Fuller) test

Calendar spreads, trading

mean reversion trading

roll returns, backwardation, and ...

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Publisher Resources

ISBN: 9781118746912Purchase book