tweet at 3:44pm: [RTRS] - U.S. CDC DIRECTOR REDFIELD SAYS RISK TO U.S. PUBLIC FROM CORONAVIRUS OUTBREAK IS LOW tweet at 3:46pm: REDFIELD SAYS THERE ARE 191 INDIVIDUALS UNDER INVESTIGATION IN U.S. AMID CORONAVIRUS OUTBREAK tweet at 3:45pm: US CDC Director Redfield: This is a significant global situation. https://t.co/Ao1Ci2OEfi tweet at 3:52pm: US declares the coronavirus a public health emergency, implementing special temporary measures $SPX
The Federal Reserve Board and self-regulatory organizations (SROs), such as the New York Stock Exchange and FINRA, have clear rules regarding margin trading. In the United States, the Fed's Regulation T allows investors to borrow up to 50 percent of the price of the securities to be purchased on margin. The percentage of the purchase price of securities that an investor must pay for is called the initial margin. To buy securities on margin, the investor must first deposit enough cash or eligible securities with a broker to meet the initial margin requirement for that purchase.
The currency exchange rate is the rate at which one currency can be exchanged for another. It is always quoted in pairs like the EUR/USD (the Euro and the US Dollar). Exchange rates fluctuate based on economic factors like inflation, industrial production and geopolitical events. These factors will influence whether you buy or sell a currency pair.
The script is currently hardcoded to generate forex data for the entire month of January 2014. It uses the Python calendar library in order to ascertain business days (although I haven't excluded holidays yet) and then generates a set of files of the form BBBQQQ_YYYYMMDD.csv, where BBBQQQ will be the specified currency pair (e.g. GBPUSD) and YYYYMMDD is the specified date (e.g. 20140112).
Local Portfolio Handling - In my opinion carrying out a backtest that inflates strategy performance due to unrealistic assumptions is annoying at best and extremely unprofitable at worst! Introducing a local portfolio object that replicates the OANDA calculations means that we can check our internal calculations while carrying out practice trading, which gives us greater confidence when we later use this same portfolio object for backtesting on historical data.
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