To The Moon

1.Live Review Introduction

Review Live >>

Tiger Brokers livestream hosted by Esther, featuring Dr. Franklin Wu, Quantitative Researcher at a financial institution in Shanghai. Having covered the macro backdrop and the AI compute chain, Franklin turned to execution — how to turn a directional view into an actual, risk-defined trade.

Disclaimer: The views expressed are those of the guest speaker and do not represent the official views of Tiger Brokers or its affiliates. This content is strictly for education and discussion purposes and does not constitute financial advice.

Catch up on the full recap series

• Live Recap 1: A Hawkish Jackson Hole, the "Bessent Put," and Why Tech Is Watching the 30-Year

• Live Recap 2: Why Semiconductors Are Still the "Hard Currency" of the AI Trade

• Live Recap 4: Leveraged ETFs, the September Playbook, and Q&A Highlights

2.Three Questions Before You Buy

Franklin's pre-trade checklist: (1) Direction — are macro and industry trends aligned? (2) Location — is price near meaningful support, or are you chasing a move that already happened? (3) Risk — if the thesis is wrong, where does the loss stop? His rule of thumb: if a trade plan needs a full essay to explain, it probably isn't clear enough — a workable plan should fit in one line.

3.Three Practical Technical Tools

Rather than a dashboard of a dozen indicators, Franklin narrowed it to three: moving averages (trend), support/resistance (risk/reward — buy near support, exit if it breaks), and volume (confirms whether a breakout has real participation). None are "fortune-telling" on their own — the value comes from reading all three together.

4.Case Study: $Invesco QQQ(QQQ)$'s Late-July Support Bounce

Franklin walked through QQQ's pullback into its half-year support zone (~680 area, near the 120-day MA). His four filters: was the yield backdrop stable rather than spiking (macro), had earnings still validated the AI story (industry), was price at a clear technical level (technical), and did he scale in gradually rather than go all-in (execution) — starting with roughly a 50% position and adding only if the level held on improving volume.

5.Case Study: The $SpaceX(SPCX)$ 110 Bottom-Fishing Framework

For sharply-dropped, news-driven names, Franklin's reminder: "cheaper than yesterday" isn't the same as "cheap." His five-step process — price anchor, sentiment washout, liquidity confirmation, catalyst repricing, execution discipline — centered on the ~110 level as the line that would either confirm buyers stepping in or signal the bounce lacked real support.

6.Quant Framework: Consistency Over Emotion

Franklin's closing point on this section: the value of a checklist (data → signals → scoring → trade → review) isn't that it's always right — it's that using the same rules every time makes decisions steadier and easier to review, rather than testing your mood instead of a strategy.

Closing Takeaway

A bullish view on AI isn't a trade plan by itself. Franklin's framework converts conviction into an executable setup: confirm the level, size the entry, and define the exit before putting on the position.

7.Risk Reminder

Technical setups and event-driven price moves can shift quickly and do not guarantee future results. Viewers without sufficient foundational knowledge are advised to complete education modules before initiating live positions.

8.Post-Event Resources

Follow Dr. Franklin Wu's recap and future updates on @TBlive and @老实人谈美股 on Tiger Community. The full livestream replay is available on the Tiger Trade app.