Prop Firm Trading Strategy

Learn about a mixed methodology strategy designed for passing prop firm trading challenges, focusing on risk management and consistent trading.

Published · Updated · Methodology: Mixed

Part of: Prop Firm Trading

  • Methodology: Mixed
  • Content type: educational

Source video

Decoded from: Prop Firm Challenge Passed: My New Trading Strategy for Props by Petko Aleksandrov — watch the original

Key timestamps:

  • 0:00 - Introduction to passing prop firm challenge
  • 0:05 - Mention of using a new strategy
  • 0:10 - Discussion of combining manual trading and EAs

Strategy overview

Prop firm trading means clearing a firm's evaluation to trade a funded account under strict rules on drawdown, daily loss and profit targets. Most content on the topic backs one style of execution or another; this entry decodes a video from Petko Aleksandrov that takes a different route to passing the challenge — combining discretionary manual trades with automated Expert Advisors (EAs) in the same account, rather than committing to purely manual or purely algorithmic trading.

That hybrid framing is the video's defining angle. Petko Aleksandrov is known for EA-based, algorithmic approaches, and here the emphasis is explicitly on blending automation with hands-on manual entries. The title — "Prop Firm Challenge Passed: My New Trading Strategy for Props" — presents it as a specific method assembled for the constraints of a prop evaluation, where consistency and disciplined risk usually matter more than any single trade.

Because prop challenges reward staying inside hard limits across many trades, a manual-plus-EA split is a natural fit: automation can run the mechanical, repeatable part of a plan without fatigue, while manual judgment covers the situations a bot reads poorly. This page introduces the concept and the source video's approach to combining the two; the details of how each side is configured live with the creator's own material.

Topics

prop firm strategy · trading strategy · mixed methodology · risk management · consistent trading · challenge passing strategy · prop firm challenge · tradingview strategy · manual trading strategy · expert advisor strategy

Frequently asked questions

What is prop firm trading?

It's trading a funded evaluation account provided by a proprietary trading firm, where you must hit a profit target while respecting hard rules on maximum drawdown, daily loss limits and consistency before you can trade the firm's capital.

What makes this strategy different from other prop firm approaches?

Instead of choosing between manual or fully automated trading, this video from Petko Aleksandrov combines both — running Expert Advisors (EAs) alongside discretionary manual trades to work within a prop challenge's constraints.

Why combine manual trading with EAs for a prop challenge?

The idea is that automation enforces mechanical rules without fatigue or emotion, while manual judgment handles context a bot reads poorly. In an evaluation that penalizes rule breaches over many trades, that split can help keep execution consistent — though results always depend on the specific setup and the firm's rules.

How can I test a prop-firm strategy like this before risking an evaluation?

Backtest and forward-test it on historical and demo data first, since prop challenges punish breaking risk limits. Strategy Decoder extracts the structure of strategies from video sources so you can study and evaluate concepts like this one on TradingView.

About this strategy page

This trading strategy was decoded by Strategy Decoder's AI from a public YouTube trading video and turned into a structured, reviewable specification. In the interactive app this page shows the full entry and exit logic, risk management settings, the indicators involved with their parameters, AlgoWizard-compatible logic and a Pine Script export ready for TradingView backtesting — plus an automated backtest verdict when one has been computed for this strategy.

Strategy Decoder catalogs 2,229 decoded strategies. Each one is extracted with confidence scoring, cross-linked to the indicators it uses, and kept up to date as new videos are processed daily. Load this page with JavaScript enabled to use the interactive tools, or start from the strategy explorer to filter by methodology, market and timeframe.

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