Determinanty úspěšnosti obchodníka v odvětví proprietárního obchodování

Abstract

This thesis focuses on analyzing the factors that influence trader success in the environment of modern proprietary trading. The theoretical part presents the development of this sector, the differences between traditional and modern approaches, and key concepts in the field of financial markets, technical and fundamental analysis. Special attention is given to the business model of companies offering simulated trading accounts, typically represented by the firm FTMO. The practical part is based on a custom simulation model developed in Python, which analyzes the performance of various trading strategies within this environment. Variables such as the risk-reward ratio, win rate, risk per trade, and the level of transaction costs are taken into account. The results identify key determinants of trading success in simulated challenges and offer recommendations for both traders and proprietary trading firms.

Description

Subject(s)

Behavioral Finance, Financial Markets, Proprietary Trading, Risk Management, Simulated Model, Trader Performance, Trading Strategies, Technical Analysis, Transaction Costs

Citation