Luyện nói tiếng Anh bằng Shadowing qua video: Risk Management: The Math Behind Profitable Trading | FTMO

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Many beginners spend months jumping from one trading strategy to another, thinking that a perfect entry is the missing piece to profitability.
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But the truth is, even the best strategy in the world will lose money if you don't manage your risk properly.
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Proper risk management is what actually separates professionals from amateurs.
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In this video, we're going to walk through the exact mathematical framework you need to protect your simulated capital.
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The first major hurdle we need to look at is undercapitalization.
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Because many brokers allow you to start with just 50 or 100 dollars.
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A lot of traders come in with a small account and think they can double it overnight.
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To do that, they are forced to over leverage their accounts and risk way too much.
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One short losing streak and the whole account is gone.
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And that's exactly why FTMO introduced a unique prop trading model.
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We provide a simulated environment with an initial balance up to 200 000 dollars.
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With larger demo accounts, you can keep your risk per trade very small while still targeting meaningful gains.
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So once you have access to the simulated capital, how much should you actually risk per trade?
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Most traditional textbooks suggest risking 2% per trade.
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But look at this.
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If you trade an FTMO account and hit just five consecutive losses at 2% risk of your initial balance,
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you are down 10%, which reaches the max loss limit in the two-step FTMO challenge.
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That is why at FTMO we highly recommend keeping your risk between 0.5% and 1.5% per trade.
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It gives you the breathing room to survive drawdowns without losing the account.
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However, where you sit within that range should differ based on your strategy.
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Let's say you're a scalper taking 5 trades a day.
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Risking 1% per trade means one bad afternoon could easily breach your max daily loss limit.
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For scalpers, 0.25% to 0.5% is much safer.
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On the On the other hand, if you're a swing trader taking one or two setups a week, risking 1% or 1.5% is perfectly fine.
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The key is structuring your position sizes to minimize the risk of breaching the trading objectives.
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Now even with perfect risk sizing we have to talk about losing streams.
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We all hate them but they are inevitable.
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Just look at the numbers here.
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Even
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if you have a solid trading strategy with 60% win rate there is still a 70% chance you'll face four consecutive losses.
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But does that mean your trading strategy is broken?
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Absolutely not.
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It just means you must build a trading plan
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that can sustain 9 or 10 consecutive losses without reaching the FTML max loss limit.
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The piece of the puzzle that makes surviving those drawdowns possible is your reward to risk ratio.
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For example, if you risk $100 to make $150, that's 1.5 to 1 ratio.
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As you can see in this picture, pairing this with 50% win rate makes you consistently profitable.
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Now, maintaining a 50% win rate means you already have a very significant edge.
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But remember, there is no universal holy grail in trading.
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Every trader is different.
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Some prefer a high win rate with lower risk to roll ratio.
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Others are highly profitable with win rate of just 25% or 30% simply because their winning trades are massive.
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Ultimately, you have to find the mathematical edge that fits your personality.
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Finally, you have to account for the unexpected.
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news releases, weakened gaps or emotional tilt can happen at any time.
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While FTMO does not strictly require you to use a stop loss, trading without one is playing with fire.
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At FTMO we have the max daily loss limit
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but understand this it is not a safety net for you to rely on.
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It is a strict limit.
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If you hit it you fail the evaluation process or lose your FTMO account.
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Your entire risk management plan must be designed to ensure you never even come close to hitting it.
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Protect your account, master your discipline and we'll see you soon in the markets!

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Bạn đang luyện tập phát âm tiếng Anh với video "Risk Management: The Math Behind Profitable Trading | FTMO" bằng phương pháp Shadowing — kỹ thuật được Dr. Alexander Arguelles phổ biến rộng rãi.

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