Binary options are amazingly simple, thus, the binary part of their name. Binary means two options, in computers that is 1 or 0, on or off. In binary options trading, it means up or down. That is, the trader believes the asset in question will go up or will go down in the fixed duration of time allocated until maturity of the trade. That’s pretty simple. The benefit of simple trades like this is that amateur investors can understand, and potentially do well in predicting price movement of assets traded. The downside is that those same investors have no reason whatsoever to believe they can predict price movement in a duration as low as 30 seconds — the lowest we know of, offered today.

As said before, China’s binary options market is relatively small and undeveloped. Especially considering the massive development of other financial markets in China. Binary options trading is still relatively new, and has yet to be established as a viable investment method in click the following page eyes of Chinese regulators. Although, with increased popularity, this is likely to change in the future.

No, there are no regulations pertaining to binary options largely due to it being relatively new in China. With increased popularity, there will likely be regulation provided by the CRSC, but is probable that this will not affect the practice in a negative way.

This site will also touch on news from regulatory agencies on the legality of binary options — a news feed of legal. I know, I know, legal sounds boring, but if you want to play in the high risk high reward pool, you’d better know who is staying within the law, and who is breaking it, so you don’t pay the price and lose your money to unscrupulous brokers.

The Cantor Exchange lists binary options on forex markets and has recently offered weather market binaries. Working with AccuWeather, Cantor offers contracts on hurricanes tied to specific zip codes, rain days, and will soon offer snow contracts. As opposed to Nadex, Cantor is looking at creating markets that are particularly appropriate for the unique attributes of binaries.

China has a very healthy choice of currency pairs to be traded as binary options. This is due to the lack of regulation, allowing brokers to set their own rules on what currencies can be traded. That being said, China’s most traded currency pairs are the same as other countries who allow binary options trading. These common currency pairs, which are called ‘majors’ are; EURUSD, GBPUSD, USDCHF, AUDUSD, USDJPY, and USDCAD. These major currency pairs have a very narrow spread due to the high trade volume and popularity. Some of the less popular, but still frequently traded pairs are; CNY, EUR, JPY, GBP, and CHF among others. These currency pairs are referred to as ‘crosses’ and generally have wider spreads due to their infrequent trading amount. In addition to these currency pairs, China traders also participate in the trading of ‘exotic’ currency pairs which include; MXN, TRY, THB, SGD, as well as various digital currencies. Their spreads are the largest of three types.

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]