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Catch the Opportunity ๐ŸŽฏ From Trend to Entry Timing using multi-timeframe analysis in the Saudi stock market.

Catch the Opportunity ๐ŸŽฏ From Trend to Entry Timing using multi-timeframe analysis in the Saudi stock market.
Course Features
  • 5.00 SAR 500.00 SAR
  • Instructor: Maha Saeed
  • Lectures: 1
  • Duration: 2hours
  • Enrolled: 0
  • Language: ุงู„ุนุฑุจูŠุฉ
What you will learn
Understand uptrends, downtrends, and sideways markets.
Read highs and lows rather than relying entirely on indicators.
Identify support and resistance zones practically.
Use moving averages as filtering tools rather than standalone buy signals.
Connect the weekly, daily, and hourly timeframes.
Select stocks that are worth monitoring.
Identify a suitable area to look for an opportunity.
Use the hourly timeframe to improve entry timing.
Identify the point at which the trade idea becomes invalid
Distinguish between a good stock and a good trade.
Build a consistent pre-trade checklist.

Meetings Requirements

Basic computer and internet skills. A computer with internet access. A paper trading account or charting platform. No previous trading experience is required.

Description

An intensive, practical training session where you will learn how to integrate trend analysis, filtering, price positioning, entry timing, and risk management into a unified approach for more structured trading decisions, utilizing multi-timeframe analysis within the Saudi financial market. 1. Understanding the Trend Identifying uptrends, downtrends, and sideways (ranging) markets. Reading peaks and troughs to understand the structure of price action. Recognizing the importance of the broader (major) trend in the decision-making process. Distinguishing between the trend, price structure, and moving averages. 2. Support and Resistance Practically identifying support and resistance zones. Understanding that support and resistance are price zones, not precise, thin lines. Recognizing factors that increase the significance of a zone. Understanding the concept of "confluence" (the convergence of multiple technical factors). Identifying the flipโ€”where resistance turns into support. Understanding the importance of price location prior to entering a trade. 3. Multi-Timeframe Analysis Using the weekly timeframe to determine the trend. Using the daily timeframe to identify opportunities and trade setups. Using the hourly timeframe to time the entry. Integrating these three timeframes into a cohesive analytical framework. 4. When Not to Trade Recognizing scenarios that do not meet entry criteria. Avoiding entries when strong resistance is nearby. Avoiding entries when the price is overextended (too far from support). Avoiding trades where the stop-loss placement is illogical. Avoiding entries that lack a clear "entry trigger." Evaluating the hourly market structure and the risk-to-reward ratio. 5. Structuring a Trade Defining the entry point. Defining the point at which the trade thesis is invalidated (stop-loss). Defining the target (take-profit). Aligning the stop-loss with the technical rationale for the entry. Understanding the risk-to-reward concept. 6. Practical Case Study Applying the methodology to a hypothetical stock. Analyzing the weekly timeframe. Analyzing the daily timeframe. Defining the test area. Analyzing the timeframe. Determining the entry trigger. Constructing a fully-defined trade setup.

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About Instructor

Maha Saeed
Maha Saeed
Instructor

Maha Saeed (MFTA, CFTe, CETA) is an Investment Manager at Prime Investments โ€“ Cairo, specializing in advanced technical analysis and portfolio management, with over 11 years of experience in the Saudi, US and Egyptian stock markets and the Forex market.

She won the IFTA John Brooks Award 2026 for her research on market cycles.

She is the CEO and Regional Director of Trading Bel Araby Academy and a lecturer at the Arab Academy for Banking and Financial Sciences (Jordan). She previously trained at Noor Academy for Business (Jeddah) and KWEALTH Academy, delivering programs in financial markets and trading strategies.

She holds a Master's degree in Finance and Investment from Cairo University. Her research focuses on integrating artificial intelligence with market cycle analysis to improve investment decision-making in emerging markets. She is a member of the Education Committee at IFTA and at the Egyptian Society of Technical Analysts (ESTA).

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Course Features
  • 5.00 SAR 500.00 SAR
  • Instructor: Maha Saeed
  • Lectures: 1
  • Duration: 2hours
  • Enrolled: 0
  • Language: ุงู„ุนุฑุจูŠุฉ
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5.00 SAR 500.00 SAR

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