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on January 04, 2024

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Introduction and Overview of Research

1.1. Problem statement The purpose of this project is to build a trading system that uses scientific methods to ensure profitability. Creating a science-based trading system allows for an investor to design a trading system and portfolio using logic rather than emotion. This creates a trading strategy that can keep a trader from making costly mistakes that usually arise from relying on their intuition and “gut” feelings. Because asset traders are humans and not computers, they have emotions that can prevent them from making smart trades, even if they are experienced traders and know when to make a trade. 1.2. Importance of problem The reliability of using logical criteria to create trades is one reason that professional stock market traders use quantitative trading. By using quantitative trading, traders can make better trades, which are based on scientific and statistical knowledge. Thus, an algorithmic trading system designed to...

30 Rules to Master Swing Trading

30 RULES TO MASTER SWING TRADING By Alan Farley Swing trading can be a great way to profit from market upswings and downswings, but as I’ve always said, it’s not easy. Mastering swing trading techniques takes considerable time and effort. To help get you started, here are 30 rules to think about as you begin and ultimately master the swing trading game. Rule 1: If you have to look, it isn’t there. Forget your college degree and trust your instincts. The best trades jump out of nowhere and create a sense of urgency. Take a deep breath, and then act quickly before the opportunity disappears. Rule 2: Trends depend on their time frame. Make sure your trade fits the clock. Price movement aligns to specific time cycles. Success depends on trading the right ones. Rule 3: Price has memory. What happened the last time a stock traded at a certain level? Chances are it will happen again. Watch the tape closely when price ...

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