Tony Tang from the University of Hong Kong achieved first place trading scores. He has a master's degree in computer science and 1 year experience trading retail. He currently interns at a high frequency trading firm and enjoys analyzing patterns in large data sets. His trading strategy involves identifying momentum stocks on Reddit, accumulating shares at low prices, and selling when prices rise due to increased attention. He allocates capital equally across 1-3 stocks and uses risk management techniques like stop losses and hedging.

1. Portfolio
Evaluation
TANG Tun Yu (Tony) | HKU | 1st in Trading Score

2. • Master of Computer Science
• ~1 year of retail trading experience
• Currently working as intern at a high frequency trading firm
• Love mining patterns from large volume of data
1
Tang Tun Yu, Tony; The University of Hong Kong; Rank 1
Portfolio Overview

3. 2
Tang Tun Yu, Tony; The University of Hong Kong; Rank 1
Stock Picking
Reddit sentiments tracking
Sector performance (from finviz)

4. 3
Tang Tun Yu, Tony; The University of Hong Kong; Rank 1
Trading Strategy
• Minimum bid price requirement on NYSE and Nasdaq
• A lot of manipulation in penny stocks
- Gather large potions of shares from the market
- Try to accumulate attentions/momentum from the market
- Pushing the price up with a smaller amount of stocks
- when other investors / retails also think that this is a good bet / FOMO, the manipulator would try to
release their shares.

5. 4
Tang Tun Yu, Tony; The University of Hong Kong; Rank 1
Example : $POLA
• Relatively small cap in the industry
• Renewable energy (solar power)
• EV related
• Performance lagging behind the sector
• Gained a lot of momentum on reddit
• Biden’s formal Inauguration
Enter – Gap up after building
Exit –
Stop loss = last support
Black candlestick after high turnover Rate
Trailing take profit

6. 5
Tang Tun Yu, Tony; The University of Hong Kong; Rank 1
Example : $ZOM
• Medical devices for pets/animals
• Pets related stocks are rare, $CHWY
• New and eye-catching products release in March
• Gained a lot of momentum on reddit
Enter – Gap up after building
Exit –
Stop loss = last support
Black candlestick after high turnover Rate
Trailing take profit

7. 6
Tang Tun Yu, Tony; The University of Hong Kong; Rank 1
Portfolio Allocation
• Equally allocating to ~1-3 filtered stocks at the same time
• Getting in each position gradually with 5 sub order, using the mid-price algo provided by IB
• If hitting exit condition, allocate the capital to other filtered stocks
Risk Management
• Penny stocks -> high risk, high reward
• Long $UVXY to hedge potential market drawback
• Allocating part of the capital to longer term investment
• Cannot scale well with large capital size
• Virtual Account ignore the potential market impact

8. 7
Tang Tun Yu, Tony; The University of Hong Kong; Rank 1
The $GME hype
• My system spotted this event
• Got in, hit stop loss
• Not a typical event

9. 8
Tang Tun Yu, Tony; The University of Hong Kong; Rank 1
Follow-up on $BB
• Lesson learnt from $GME
• Good build up and catalyst

10. 9
Tang Tun Yu, Tony; The University of Hong Kong; Rank 1
Short $GSX
• No US retails attentions
• Short ratio is relatively lower
• No fundamental supports
• Price very close to squeeze level

11. Real money trading, similar to paper trading results
Tang Tun Yu, Tony; The University of Hong Kong; Rank 1 10

12. Thanks!
Tang Tun Yu, Tony; The University of Hong Kong; Rank 1 10