How To Scale To $10,000/Month With PROP FIRMS

Share

Summary

This video explains how to build a full-time income using funded trading accounts without risking personal capital. It covers how funded accounts work, how to pass evaluations, generate payouts, and a specific liquidity-based trading strategy. The video also details a systematic approach to scaling accounts and the benefits of automating trading through algorithms.

Highlights

Understanding Funded Accounts
00:00:44

A funded account provides capital from a prop firm in exchange for a percentage of profits (typically 80-90% for the trader). Importantly, traders don't risk the firm's live capital but a simulated version. The most a trader can lose is the cost of the evaluation. To get a funded account, one must pass an evaluation challenge, usually involving hitting an 8% profit target without violating rules. Popular prop firms like Apex often offer significant discounts on evaluation accounts.

Key Rules of Funded Accounts
00:02:01

Several rules must be followed: a profit target (e.g., $3,000-$4,000 on a $50,000 account), a trailing drawdown (the most misunderstood rule, as it limits real working capital), a daily loss limit (usually $1,000-$1,500), minimum trading days (5-10 days to prove consistency), and no news trading during major economic events. Breaking any rule leads to account termination.

Aggressive and Systematic Approach to Passing Evaluations
00:04:00

The correct strategy to pass evaluations is aggressive and systematic, not conservative. It involves understanding the math (e.g., needing four winning trades with a 1:3 risk-to-reward ratio), only trading high-probability setups, passing quickly to avoid monthly renewal fees (ideally 5-7 days), and scaling by buying multiple evaluation accounts. This portfolio approach accounts for blown accounts as part of the business model.

The Math of Scaling Funded Accounts
00:05:48

The math demonstrates how scaling can lead to significant income. For example, buying 20 evaluation accounts for $400, and with a 60% pass rate, 12 accounts are passed. Assuming 50% of the funded accounts are blown, six remain to reach payout eligibility. Each $50,000 account earning $3,000 in the funded phase (with an 80% split) yields $2,400 per account. Six accounts generate $14,400 in payouts, a 3,500% return on initial investment.

Liquidity-Based Trading Strategy
00:07:15

The core trading strategy is based on liquidity, not traditional indicators. Institutions move markets to key liquidity levels to fill large positions. Traders should identify where liquidity is rather than predicting price direction. The strategy involves marking three types of levels: the first 15-minute candle of the pre-market session (8:00 to 8:15 a.m. EST) due to high volume, and untested session highs or lows from Asia, London, or New York sessions.

Trading Setups: Break and Retest
00:10:28

The highest probability setup is the 'break and retest' using the first 15-minute candle. After the market opens at 9:30 a.m. EST, traders wait for price to break out of this candle's range. They then look for a retest of the midline of that range to enter a trade, targeting a 1:3 or 1:4 risk-to-reward ratio. This works because trapped traders exiting their positions fuel the price movement.

Trading Setups: Untested High/Low Rejection/Bounce
00:14:20

The second setup involves trading rejections off untested highs for shorts or bounces off untested lows for longs. Traders look for signs of weakness (at highs) or strength (at lows) on 1-minute and 5-minute timeframes, specifically price hitting the level and failing to close beyond it. This setup typically allows for wider stop-losses and larger take-profit targets (30-40 points) due to the potential for significant moves from range extremes.

Challenges of Manual Trading
00:18:05

Manual trading faces problems of consistency (human execution is imperfect), time and tension (managing multiple accounts manually is unrealistic), and emotion (fear, greed, and overconfidence interfere with strategy execution). These human factors undermine the effectiveness of even a sound trading strategy.

Automating Trading with Algorithms
00:19:30

To overcome manual trading challenges, algorithms like Voodoobot (for long-term swing trading) and Quampbot (for funded account passing and management) were developed. These algorithms execute the strategy automatically, removing human inconsistency, time constraints, and emotional biases. This automation allows for scalable management of many funded accounts, consistently generating payouts according to the defined strategy.

Next Steps: Accessing Automation
00:21:19

For those interested in automating their funded account trading, a detailed private presentation is available. This presentation explains how the algorithms work, provides performance data, guides on obtaining access, and details how to integrate them with funded accounts to start seeing results without manual trading.

Recently Summarized Articles

Loading...