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Rules
Specification
The concept of "Smart Money" in forex trading refers to the activity of large institutional traders, such as banks, hedge funds, and other financial institutions, who have significant resources and influence in the market. These institutional traders are often considered more informed and capable of moving the market due to their substantial buying and selling power.
When developing a forex robot that analyzes charts using the Smart Money concept, you can provide your developer with the following explanations and guidelines:
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Volume Analysis: Smart Money often leaves footprints in the market through significant trading volumes. Instruct your developer to incorporate volume analysis into the robot's algorithm. The robot should identify periods of high trading volume and compare them to average volume levels. Unusually high volume spikes may indicate the presence of Smart Money.
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Price Patterns: Smart Money activities can be observed through specific price patterns on the charts. Instruct your developer to program the robot to identify patterns such as accumulation, distribution, or stop hunting. These patterns often reflect the actions of institutional traders and can provide valuable insights into market direction.
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Support and Resistance Levels: Smart Money tends to trade at key support and resistance levels. Instruct your developer to program the robot to identify and analyze these levels. The robot should consider the behavior of price around these levels, including breakouts, bounces, or consolidations, to identify potential Smart Money involvement.
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News and Economic Events: Smart Money is usually well-informed about upcoming news releases and economic events. Instruct your developer to integrate a news feed or an economic calendar into the robot. This will allow the robot to adjust its analysis and trading decisions based on the impact of relevant news events on the market.
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Sentiment Analysis: Smart Money often takes positions contrary to the retail traders' sentiment. Instruct your developer to incorporate sentiment analysis into the robot's algorithm. It should analyze data from sources such as Commitment of Traders (COT) reports or sentiment indicators to gauge the overall market sentiment and the potential influence of Smart Money.
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Risk Management: Emphasize the importance of proper risk management in the development of the robot. Instruct your developer to implement features that manage risk, such as setting stop-loss and take-profit levels, trailing stops, or position-sizing algorithms based on risk tolerance