100.000 € für Trading-Ausbildungen und der Scamjäger auf Instagram – Der Prozess von Maximilian Hund

Summary

Trader and educator Maximilian Hund describes his path from years of speculative trading and paid training to a macro-informed, partly automated trading process. He says he spent over €100,000 on training and completed or studied 13 trading programs. His central message is that traders should test their systems, understand the market context, and judge performance by data rather than promises or mindset slogans.

Trading Approach and Framework

Hund uses four broad components, which he describes as roughly 25% each:

• Macroeconomics: Track economic growth, inflation, central-bank priorities, and interest-rate expectations.
• Market sentiment: Assess prevailing market positioning and mood.
• Intermarket analysis: Compare signals across equities, bonds, volatility, foreign exchange, commodities, and crypto.
• Technical analysis: Use technical setups mainly to time entries after forming a broader market view.

He argues that markets have a “story” behind price action and that technical indicators alone may miss the forces driving a move. He also stresses that there is no single correct way to trade: technical-only approaches can work, but he found combining macro context with technical execution easier.

His suggested process for developing a technical system is to:

1. Define clear, repeatable entry and exit rules.
2. Code the rules where possible and backtest them across long periods—he mentions testing 10–20 years of data.
3. Separate in-sample and out-of-sample tests.
4. Review hit rate, profit factor, expectancy, average profit per trade, and drawdowns.
5. Size positions with reference to the system’s worst historical drawdown, plus a buffer.
6. Monitor volatility and market-cycle changes; adjust or replace a system when its conditions change.
7. Journal the daily market idea, execution, and result.

He says his own preparation takes about 15 minutes for the full macro, sentiment, intermarket, and technical review. He prepares a team briefing in the morning, then refreshes the analysis before the 15:30 market open. His active trading generally runs until 17:30; he also reviews the coming week for 1–2 hours over the weekend.

Instruments and Markets Mentioned

• Nasdaq futures / NQ — his main intraday scalping market.
• S&P 500 futures / ES and the S&P 500.
• Foreign exchange (FX) — he describes a separate account, with at most about two trades per week, sometimes held for two days.
• Bonds, volatility products, commodities, and cryptocurrencies — used as intermarket context.
• Gold — mentioned as an example of the risks and costs of trading large lot sizes in signal groups.
• CFDs and futures — discussed in relation to copy trading, signal services, and broker incentives.
• VWAP and TWAP — institutional execution concepts he says informed his technical approach.
• PPI, CPI, and NFP — economic releases referenced in discussing market reactions.

Reported Results, Risk, and Drawdowns

The following are Hund’s own figures and were not independently validated in the interview:

• He says results since the start of 2025 amounted to about $686,000, combining personal equity and external or prop-firm capital. He describes growing from roughly $48,000–$50,000 to more than $600,000 over roughly a year to a year and a half.
• He recounts making about $100,000 in a relatively short period and subsequently giving back slightly more than $50,000.
• The large loss came during the 2025 tariff/trade-war volatility, when he says Nasdaq moved about 4,000 ticks in a minute. He was briefly back near break-even and says he resumed trading after a short pause.
• He reports an automated system with a 54% win rate and a 1.28 profit factor. His discretionary trading reportedly had a 71% win rate and a higher, unspecified profit factor.
• He says the automated approach targets about 0.4% per day and that he has used four contracts in one system, increasing to eight in low-volatility conditions after testing suggested this could smooth the equity curve. He criticizes applying a blanket 1% risk rule to every day-trading setup.
• He says he has reduced position size because large daily dollar swings affect him psychologically, and that roughly $2,000–$3,000 per day feels more manageable.
• He cites overnight analysis suggesting much of the Nasdaq and S&P’s historical return occurred between midnight and 15:30 German time. He also describes an institutional pattern in which junior traders focus on the open and senior traders on the close. These are his observations, not independently substantiated in the discussion.

Career, Training, and Financial Cautions

• Hund says he began trading in 2018, initially spent about three years gambling or speculating, including in binary options and crypto, and took his first trading training in 2021.
• He left his job in early 2023, after two profitable payouts and with a reported buffer of about €18,000. In retrospect, he says he quit too early.
• He recommends that someone considering full-time trading should ideally experience a complete market cycle—he suggests roughly four years—rather than relying on a short profitable period.
• His advice to beginners: There is no quick or guaranteed money; assess progress in years, not weeks. He suggests starting with economic growth, inflation, and central-bank policy before adding macro context to a technical strategy.
• He advises beginners to consider swing trading before scalping, describing short-term day trading as particularly demanding.
• He says his coaching lasts 10 weeks, with a recorded introductory course, weekly one-to-one sessions, and ongoing community access. His stated aim is for students to build and test their own process rather than simply copy his trades.

Scam Warnings and Due Diligence

Hund criticizes many online signal groups, especially those that promote luxury imagery and make money through broker fees or client trading activity rather than through successful trading. He argues that delayed signals can produce results different from the provider’s, and that high trading frequency may benefit the broker or group operator through fees.

He recommends checking a coach or service by:

• Reviewing a genuine, preferably third-party-verified track record and account data.
• Watching trades from the stated idea and setup through to the result—not only seeing winning trades afterward.
• Checking whether risk management is reasonable. He calls starting a beginner with four ES contracts potentially dangerous.
• Evaluating whether instructors and students have credible, sustained experience and whether performance claims are consistent.
• Treating signal groups, copy trading, and third-party bots cautiously. Hund says he has not found signal groups worth recommending and argues that traders should understand any system they use.

He also describes his own copy-trading experience: an account grew from €5,000 to about €66,000 at its peak, then suffered losses. In another episode, he says a provider lost 10% in a day, later fell about 70%, and he lost around €10,000. His conclusion is to be wary of handing control of trading decisions to others.

Disclosures and Qualifications

• No explicit “not financial advice” disclaimer is audible in the subtitles.
• Performance figures and views on market structure are presented by Hund in the interview and should be treated as self-reported, not independently verified.
• The discussion does not establish that his strategies or coaching outcomes will work for others.

Presenters and Sources

Presenter/guest: Maximilian Hund Presenters: The Trader in Progress hosts, including Lukas and Rico, as identified in the discussion.

Sources discussed: Hund refers to training from a former Lehman Brothers dealer and conversations with institutional execution traders at IG Bank, Credit Suisse, and UBS. He also names Alpha Capital and Trade Bricks in connection with track-record verification.