Team Lead · Trading Technology Specialist · Zug, Switzerland
German national with 13+ years of professional trading experience. M.Sc. in Business Information Technology. Specializing in ES/NQ Futures, leading a 5-member proprietary trading team, and developing custom trading systems.
Prop trading, institutional, or senior trading roles leveraging 13+ years of experience and a proven track record in ES/NQ futures.
Specialized in high-frequency energy markets with round-the-clock availability. Experience with global energy futures and commodities.
Systematic trading roles at hedge funds. Strong background in quantitative strategies and risk management.
Head trader, mentor, or training roles. Proven leader with experience managing 5-member trading teams.
Specialized in intraday scalping using volume profile, orderflow, and delta analysis. Consistent performance with 72.3% win rate over 12,000+ trades.
Leading 5-member proprietary trading team. Mentoring junior traders in footprint trading and risk management strategies.
Developed custom trading tools for orderflow analysis and automated risk management using Python, C#, and NinjaTrader 8.
M.Sc. in Business Information Technology. Expertise in statistical modeling, backtesting, and machine learning integration.
Leading a 5-member trading team focused on ES/NQ Futures. Developed proprietary trading software and implemented quantitative strategies. Grew equity from €100K to €2.5M.
Profitable proprietary trading and training junior traders in footprint trading and advanced orderflow techniques.
Active futures trading in an international institutional environment with specialization in volume analytics and orderflow strategies.
1-minute timeframe
Dynamic POC & Order Flow
Max 3 trades/day
2:00–3:30 PM ET
| Category | Threshold |
|---|---|
| Average Volume | ~200 contracts/bar |
| Big Trade | >600 contracts |
| Absorption | >400 contracts |
| Huge Trade | >1,000 contracts |
with MzPack
Advanced Platform
DOM & Tape
Professional
TT Platform
Heatmap
First resistance / 1R
Major level / 2R
Trail with 5pt stop
"Success in trading comes from systematic execution, disciplined risk management, and the ability to read institutional order flow. My approach combines technical precision with volume analysis to identify high-probability setups in ES & NQ."
Volume profile showing buyers missing at key levels, final fight at resistance, and weak support retest with delta confirmation.
Strong uptrend with pullback to support, clear target area defined by volume profile, and absorption pattern confirming buyer strength.
Trapped sellers at support, buyers take control with strong positive delta shift, volume profile confirms institutional accumulation.
Multiple aggressive selling attempts absorbed at resistance, strong delta showing buyers defending level, breakout confirmation.
* Chart examples illustrate setup principles. Actual trade screenshots available upon request.
Markets work like auctions — price moves between two states: Balance (price bounces around fair value, ~70% of the time) and Imbalance (one side takes control, pushing price to find new fair value). Most traders lose because they trade breakouts without checking which state the market is in. The solution: only trade when three things align — Market State + Location + Aggression.
Look for clear momentum away from the previous range. If price is just bouncing up and down — skip.
When price pulls back to the LVN, check for aggression: big BUY prints for longs, big SELL prints for shorts. No aggression = no trade.
Target the POC from the previous balance. Close full position at POC — 70% of the time, price reverses from balance areas.
Use previous day's profile as reference. Watch for price trying to break out but failing.
Don't take the first move back. Wait for a clear reclaim back inside balance, then a pullback after the reclaim.
Apply Volume Profile on the reclaim leg. Mark LVNs. On pullback into LVN, check order flow for aggression.
Target: Balance POC (center of value). Exit full position at POC.
No guessing, follow 3 steps
One setup for trends, one for ranges
Tight stops keep losses manageable
Lots of trades to build consistency
If conditions aren't right, don't trade
Typically 1:2.5 to 1:5
You'll have losing streaks
Watch during trading sessions
Some days just don't work
Managing positions requires discipline
If even ONE is missing → Don't trade
If the market isn't giving you clear conditions across all three filters — State + Location + Aggression — stay flat. Patience is profit.
A reinforcement learning agent interacts with a market environment in a feedback loop — observing state, taking actions, and learning from rewards to improve its policy over time.
Research and practice have identified specific architectures that are particularly effective for financial markets. Each approach has distinct strengths depending on market conditions and trading style.
Considered the most stable algorithm for volatile markets. PPO constrains policy updates to prevent catastrophic performance drops — critical when trading fast-moving NQ futures. Widely used in research on Chinese rebar futures and US equity indices, it excels at learning robust strategies that don't collapse during regime changes.
A value-based approach that learns to estimate the expected reward of each possible action. DQN serves as a strong baseline in most trading research and delivers solid results for trend prediction. Its experience replay mechanism allows efficient learning from historical data, making it well-suited for backtesting-heavy development workflows.
Actor-Critic models that excel at continuous action spaces — perfect for precisely scaling position sizes based on market volatility. Rather than choosing between discrete "buy/sell" actions, DDPG can output exact position fractions, enabling sophisticated risk management. TD3 adds twin critics and delayed updates for further stability.
| Algorithm | Type | Action Space | Stability | Best For |
|---|---|---|---|---|
PPO |
Policy Gradient | Discrete & Continuous |
Very High
|
Volatile markets, regime changes, robust policies |
DQN |
Value-Based | Discrete only |
Moderate
|
Trend prediction, research baselines, rapid prototyping |
DDPG/TD3 |
Actor-Critic | Continuous |
High (TD3)
|
Position sizing, volatility-adapted scaling, fine-grained control |
Production results from the neural network trading system running on NQ futures. Averaging ~1,000 trades per day with consistent daily profitability across 18 out of 20 trading days per month.
Ultra-Low Latency · Nanosecond Execution · Hardware-Level Speed
Session analysis from 2026-03-13 covering NQ Futures. Signal performance breakdown, equity curves, drawdown analysis, and directional edge detection.
696 trades with walk-forward 60/40 split and 5-fold CV. Best config: SL15 LONG with 78.9% win rate, Robust Score 3.34, OOS Sharpe 4.99.
12,452 SWEEP + 1,366 BIGTRADE signals across 10 trading days. Multi-contract analysis with EU/US session breakdown and walk-forward validation.
1,493 EU session trades across 9 days. 4 models (Long/Short × 2C/3C) with equity curves showing up to $18,229 profit. Hourly PnL breakdown in CET.
Complete auction market theory rulebook. Balance vs imbalance states, market profile interpretation, and systematic entry/exit frameworks for institutional-grade execution.
Comprehensive orderflow analysis methodology. Footprint reading, delta interpretation, absorption detection, and aggressive order identification for NQ/ES futures scalping.
Opening Range Breakout strategy enhanced with orderflow confirmation. Session timing, range identification, and multi-signal confluence framework for high-probability entries.
Advanced scalping methodology using deep chart analysis. Multi-timeframe orderflow reading, precision entries with tight risk, and systematic approach to NQ futures micro-structure.
Deep dive into move-based volume profile analysis and POC bounce setups.
Understanding institutional order flow and delta divergence signals.
Live market analysis showing key support/resistance levels and trade setups.
Essential risk management techniques for consistent profitability.
Automated alert system sending trading signals and chart screenshots to Discord. Real-time notifications for trade setups and executions.
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