free trading books
Stock Trend Analysis and Trading Strategy.pdf
Taken from Introduction: Trend analysis and prediction play a vital role in practical stock trading. Experienced stock traders can often predict the future trend of a stock’s price based on their observations of the performance of the stock in the past. An early sign of a familiar pattern may alert a domain expert to what is likely to happen in the near future. They can then formulate their trading strategy accordingly.
The search for and matching of similar patterns have been studied extensively on time series analysis. Patterns in long time series data repeat themselves due to seasonality or other unknown underlying reasons. Early detection of patterns similar to those that have occurred in the past can readily provide information on what will follow. This information will be able to help decision-making on the trading strategy in stock market trading practice. In this paper, we report an approach to predict the trend of the stock prices and apply it to stock trading practice.
Introduction to Economic Analysis.pdf
This book presents introductory economics (”principles”) material using standard mathematical tools, including calculus. It is designed for a relatively sophisticated undergraduate who has not taken a basic university course in economics. It also contains the standard intermediate microeconomics material and some material that ought to be standard but is not. The book can easily serve as an intermediate microeconomics text. The focus of this book is on the conceptual tools and not on fluff. Most microeconomics texts are mostly fluff and the fluff market is exceedingly overserved by $100+ texts. In contrast, this book reflects the approach actually adopted by the majority of economists for understanding economic activity. There are lots of models and equations and no pictures of economists.
An Artificial Market Model of a Foreign Exchange Market.pdf
In this study, the author proposes a new approach to foreign exchange (forex) market studies: the artificial market approach - by integrating fieldwork studies and multiagent computer models in order to explain the micro and macro relation in markets, as another downloadable model does by considering final consumers.
The proposed artificial market approach is constituted by three steps:
First, in order to investigate the learning patterns of actual dealers, the author carried out both interviews and questionnaires. These field data made it clear that each dealer improved his or her prediction method by replacing (a part of) his or her opinions about facts with other dealers’ opinion.
Second, the author constructed a multiagent model of a foreign exchange market. Considering the result of the analysis of the field data, the interaction of agents’ learning were described with genetic algorithms.
Finally, emergent phenomena at the market level were analyzed onthe basis of the simulation results of the model. The results showed that bubbles in exchange rates were caused by the interaction between the agents’ forecasts and the relationship of demand and supply. Other emergent phenomena were explained by the concept of the phase transition of forecast variety.
The simulation results were supported by further empirical data.
Algorithmic Trading.pdf
The handbook is completed with a guide to broker algorithms, containing details of individual broker offerings and including information on the range of benchmarks available, levels of customisation, performance measurement and connectivity options.
Predatory Trading.pdf
This paper studies predatory trading, trading that induces and/or exploits the need of other investors to reduce their positions.Authors show that if one trader needs to sell, others also sell and subsequently buy back the asset.
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