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Trading strategy
In finance, a trading strategy (see also trading system) is a predefined set of rules for making trading decisions.
Traders, investment firms and fund managers use a trading strategy to help make wiser investment decisions and help eliminate the emotional aspect of trading. A trading strategy is governed by a set of rules that do not deviate. Emotional bias is eliminated because the systems operate within the parameters known by the trader. The parameters can be trusted based on historical analysis (backtesting) and real world market studies (forward testing), so that the trader can have confidence in the strategy and its operating characteristics.
When developing a trading strategy, many things must be considered: return, risk, volatility, timeframe, style, correlation with the markets, methods, etc. After developing a strategy, it can be backtested using computer programs. Although backtesting is no guarantee of future performance, it gives the trader confidence that the strategy has worked in the past. If the strategy is not over-optimized, data-mined, or based on random coincidences, it might have a good chance of working in the future.
A trading strategy can be executed by a trader (manually) or automated (by computer). Manual trading requires a great deal of skill and discipline. It is tempting for the trader to deviate from the strategy, which usually reduces its performance.
An automated trading strategy wraps trading formulas into automated order and execution systems. Advanced computer modeling techniques, combined with electronic access to world market data and information, enable traders using a trading strategy to have a unique market vantage point. A trading strategy can automate all or part of your investment portfolio. Computer trading models can be adjusted for either conservative or aggressive trading styles.
The publication of Trading Strategy Indices as investable indices that implement a range of trading strategies has become a growing business for many of the major Investment banks.
Exchange Securities Bond market Fixed income Corporate bond Government bond
Municipal bond Bond valuation High-yield debt Stock market Stock Preferred stock Common stock Registered share Voting share Stock exchange Derivatives market Securitization Hybrid security Credit derivative Futures exchange Over-the-counter Spot market Forwards SwapsOptions
In finance, technical analysis is security analysis discipline for forecasting the direction of prices through the study of past market data, primarily price and volume.[1] Behavioral economics and quantitative analysis build on and incorporate many of the same tools of technical analysis [2] [3][4] [5], which, being an aspect of active management, stands in contradiction to much of modern portfolio theory. The efficacy of both technical and fundamental analysis is disputed by efficient-market hypothesis which states that stock market prices are essentially unpredictable.[6]
The principles of technical analysis are derived from hundreds of years of financial markets data.[7]
