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Faiz SMC – Trading Course 2023

Original price was: $200.00.Current price is: $20.00.

Faiz’s SMC Trading Course 2023 is designed to provide a structured approach for traders looking to benefit from institutional price patterns and align their trades with the movements of “smart money.” The course is particularly suited for intermediate to advanced traders who want to refine their trading edge through a deeper understanding of institutional market dynamics.

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Faiz SMC – Trading Course 2023

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The Faiz SMC Trading Course 2023 is likely focused on Smart Money Concepts (SMC), a trading methodology that emphasizes understanding the behavior of institutional players in the market to make informed trades. Smart Money Concepts aim to reveal how large institutions (often referred to as “smart money”) create price movements and how retail traders can align with these movements for improved profitability. Here’s an overview of what the course may cover:

1. Introduction to Smart Money Concepts (SMC)

  • Understanding the basics of SMC, including the concept of “smart money” and how institutional traders (banks, hedge funds) impact market prices.
  • Differentiating between retail trading patterns and institutional trading behaviors.

2. Market Structure and Price Action Analysis

  • Recognizing market phases such as accumulation, manipulation, and distribution.
  • Analyzing price action to identify key structures like higher highs, lower lows, and consolidation zones that indicate potential smart money activity.

3. Supply and Demand Zones

  • Identifying areas of supply (resistance) and demand (support) based on institutional buying and selling zones.
  • Techniques to refine these zones to pinpoint precise entry and exit points.

4. Order Blocks and Liquidity Zones

  • Recognizing order blocks, which represent areas of unfilled institutional orders that can act as support or resistance.
  • Using liquidity zones (pools of orders placed by other traders) to anticipate where price is likely to move next.

5. Manipulation Techniques: Stop Hunts and Liquidity Grabs

  • Learning to spot stop hunts and liquidity grabs, where large institutions trigger stop-losses of retail traders to create liquidity for their trades.
  • Interpreting these moves as potential entry opportunities once the price reverses direction.

6. Inducement and Fakeouts

  • Identifying inducement setups, where the market appears to signal a trend change only to reverse and continue in its original direction.
  • Recognizing false breakouts (fakeouts) and using them to align trades with institutional moves.

7. Institutional Trading Patterns and Candlestick Psychology

  • Understanding specific candlestick patterns that reflect institutional activity, such as engulfing patterns and pin bars.
  • Using candle psychology to read momentum, trend strength, and institutional entry signals.

8. Risk Management and Position Sizing with SMC

  • Crafting effective risk management strategies tailored for SMC-based trades, including setting stop-losses outside of common liquidity zones.
  • Calculating position sizes based on account size, risk tolerance, and probability of success.

9. Building a Consistent SMC Trading Strategy

  • Developing a complete trading strategy using SMC principles, integrating supply and demand zones, order blocks, and liquidity traps.
  • Backtesting and refining this strategy to suit various market conditions and trading styles (day trading, swing trading).

10. Case Studies and Live Trading Examples

  • Analyzing real-market scenarios and historical SMC trades to see the concepts in action.
  • Hands-on practice and simulations to apply SMC techniques in a controlled setting.

Faiz’s SMC Trading Course 2023 is designed to provide a structured approach for traders looking to benefit from institutional price patterns and align their trades with the movements of “smart money.” The course is particularly suited for intermediate to advanced traders who want to refine their trading edge through a deeper understanding of institutional market dynamics.

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