Trading News Events

A leading indicator for turning points in Switzerland's economy signaled that the near term outlook for the economy was likely less than encouraging, results of a survey by the KOF Swiss Economic Institute showed Tuesday.

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The US Dollar cooled last week, largely due to Euro strength following a 75-bps ECB rate hike. Traders are watching the US consumer price index (CPI) amid the FOMC blackout period.

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Gold is trading on either of $2400 and any further sell-off is likely to be limited. Prior areas of resistance turned support between $2350 and $2370 also include the short- and medium-term smas and these should hold and add an extra layer of support. Gold may begin a correction and will break down 2400

Soft Actor Critic is yet another reinforcement learning algorithm that we are considering, having looked at a few already that included proximal policy optimization, deep-Q-networks, SARSA, and others. This algorithm though, like some that we have already looked at, uses neural networks, but with some important caveat. The total number of networks used are three, and these are: 2 critic networks and an actor network. The two critic networks make reward forecasts (Q-Values) when inputted with an action and an environment state, and the minimum of the outputs of these 2 networks is used in modulating the loss function used for training the actor network.

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In this article, we take the next step in our MQL5 Economic Calendar series by automating trade entries based on real-time news analysis. Building on our previous dashboard enhancements (Part 5), we now integrate trading logic that scans news events using user-defined filters and time offsets, compares forecast and prior values, and automatically executes BUY or SELL orders depending on market expectations. We also implement dynamic countdown timers that display the remaining time until news release and reset the system after execution, ensuring our trading strategy remains responsive to changing conditions.

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In this article, we advance our MQL5 Economic Calendar series by preparing the trading system for strategy testing in non-live mode, leveraging embedded economic event data for reliable backtesting. Building on Part 6’s automation of trade entries with news analysis and countdown timers, we now focus on loading news events from a resource file and applying user-defined filters to simulate live conditions in the Strategy Tester.

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