Backtesting is a term used in modeling to refer to testing a predictive model on historical data. Backtesting is a type of retrodiction, and a special type of cross-validation applied to previous time period(s).In a trading strategy, investment strategy, or risk modeling, backtesting seeks to estimate the performance of a strategy or model if it had been employed during a past period. This requires simulating past conditions with sufficient detail, making one limitation of backtesting the need for detailed historical data. A second limitation is the inability to model strategies that would affect historic prices. Finally, backtesting, like other modeling, is limited by potential overfitting. That is, it is often possible to find a strategy that would have worked well in the past, but will not work well in the future.[1] Despite these limitations, backtesting provides information not available when models and strategies are tested on synthetic data.
Backtesting has historically only been performed by large institutions and professional money managers due to the expense of obtaining and using detailed datasets. However, backtrading is increasingly used on a wider basis, and independent web-based backtesting platforms have emerged. Although the technique is widely used, it is prone to weaknesses.[2] Basel financial regulations require large financial institutions to backtest certain risk models.
The report offers detailed coverage of Backtesting Software industry and main market trends. The market research includes historical and forecast market data, demand, application details, price trends, and company shares of the leading Backtesting Software by geography. The report splits the market size, by volume and value, on the basis of application type and geography.
The report forecast global Backtesting Software market to grow to reach xxx Million USD in 2020 with a CAGR of xx% during the period 2021-2025.
First, this report covers the present status and the future prospects of the global Backtesting Software market for 2015-2025.
And in this report, we analyze global market from 5 geographies: Asia-Pacific[China, Southeast Asia, India, Japan, Korea, Western Asia], Europe[Germany, UK, France, Italy, Russia, Spain, Netherlands, Turkey, Switzerland], North America[United States, Canada, Mexico], Middle East & Africa[GCC, North Africa, South Africa], South America[Brazil, Argentina, Columbia, Chile, Peru].
Key Companies
MultiCharts
Deltix
QuantHouse
SmartQuant
AlgoTrader
TradeStation Group
AmiBroker
FXCM
Wealth Lab
Axioma
Trading Blox
NinjaTrader Group
RightEdge Systems
Build Alpha
At the same time, we classify Backtesting Software according to the type, application by geography. More importantly, the report includes major countries market based on the type and application.
Market Segment as follows:
Market by Order Type
Cloud
Hybrid
Market by Application
Shares
Foreign Exchange
Futures
Other
By Region
Asia-Pacific[China, Southeast Asia, India, Japan, Korea, Western Asia]
Europe[Germany, UK, France, Italy, Russia, Spain, Netherlands, Turkey, Switzerland]
North America[United States, Canada, Mexico]
Middle East & Africa[GCC, North Africa, South Africa]
South America[Brazil, Argentina, Columbia, Chile, Peru]
The research provides answers to the following key questions:
• What is the estimated growth rate and market share and size of the Backtesting Software market for the forecast period 2021 - 2025?
• What are the driving forces in the Backtesting Software market for the forecast period 2021 - 2025?
• Who are the prominent market players and how have they gained a competitive edge over other competitors?
• What are the market trends influencing the progress of the Backtesting Software industry worldwide?
• What are the major challenges and threats restricting the progress of the industry?
• What opportunities does the market hold for the prominent market players?