Understanding Profit EXPECTANCY | Trading Education скачать в хорошем качестве

Understanding Profit EXPECTANCY | Trading Education

📜 SUMMARY 📜 ► Expectancy quantifies trading edge through the Law of Large Numbers. ► One of its limitations is that it gives no indication of consistency or broader risk. ► The math, and what it means. ► Why trading truth resides in BOTH probability and average outcome. ► The two biases that give out scams: probability kings and risk/reward buffs. ► A traders' mission = to maximize expectancy. ► Applying the concept: debunking 'scaling out' as sub optimal. #️⃣ HASHTAGS: #profitexpectancy #tradingprofitability ~~~~~ 📖 LEARN TO TRADE 👉 Explore our educational material at https://www.fxphysics.com/Learn 📈 TRADE NOW 👉 Start trading live today at https://www.fxphysics.com/Trade 👕 GEAR UP 👉 Get your quant trading merch at https://www.fxphysics.com/Shop 🎁 DONATE 👉 Support our efforts with cash or crypto at https://www.fxphysics.com/Donate ~~~~~ 🌎 FOLLOW US 🌎 Join the revolution. Start following FX Physics today! 👉 Web – https://www.fxphysics.com 👉 Twitter –   / fxphysics   👉 Discord –   / discord   ~~~~~ 🛑 DISCLAIMER & TRANSPARENCY 🛑 The information provided herein is NOT a recommendation to buy or sell a security at a specific time and for any reason, but merely a presentation in good faith of our research or of a particular trading strategy. The author may have personal financial interests in the investment vehicles discussed herein. The intent of such presentation is for instructional purposes only. The following information has been obtained from sources believed to be reliable but is not guaranteed as to its accuracy or completeness. Please understand that there is a risk of loss inherent to financial trading and remember to do your own due diligence before considering any trade. No implication is being made whatsoever that anyone utilizing any of the services of FX Physics© has or can obtain profits. Since past performance is not indicative of future results, FX Physics© therefore makes no guarantees past, present, or future regarding the profitability associated with implementing the information provided herein. The viewer/subscriber remains the sole and final responsible for his/her own actions regarding any trade decisions. ~~~~~ 🎵 MUSIC CREDITS 🎵 ‘Divider’ by Chris Zabriskie is licensed under a Creative Commons Attribution license (https://creativecommons.org/licenses/...) Source: http://chriszabriskie.com/divider/ Artist: http://chriszabriskie.com/ ~~~~~ 📺 FAIR USE NOTICE 📺 This video may contain copyrighted material; the use of which has not been specifically authorized by the copyright owner. We are making such material available for the purposes of criticism, comment, review and news reporting which constitute the fair use of any such copyrighted material as provided for in section 107 of the US Copyright Law. Not withstanding the provisions of sections 106 and 106A, the fair use of a copyrighted work for purposes such as criticism, comment, review and news reporting is not an infringement of copyright.