How I (Almost) Got Rich with AI and Reddit Madness
Actually, the title should have been Get Rich or Die Trying, but that seemed a bit too dramatic. Instead: How I tried my luck with AI and /r/wallstreetbets—and what came of it.
If you’re looking for the german version? You’ll find it here
Why Bother?
AI is everywhere. Some say it will save the world. Others say it will drag us all into the abyss. I wanted to know: Can AI filter clear signals from the chaos of /r/wallstreetbets? Or will it end like my last attempt to mine Bitcoin?
I’m no financial guru. I’m just someone who likes to automate the annoying stuff. And what’s more annoying than scrolling through 500 Reddit comments to see which stocks the „degenerate traders“ are hyping today? So I built a little workflow to do it for me. Spoiler: It was more entertaining than profitable.
A little side note: What is AI from my personal perspective?
- AI is here to stay.
- AI is no silver bullet!
- If I want, AI is just crap!
- You can use AI for support, like this text, which was later proofread by an AI and gave me a different perspective.
The Plan: AI as a Wall Street Broker
- Fetch the 5 hottest threads from /r/wallstreetbets.
- Let the AI analyze all the comments.
- ???
- Profit (or bankruptcy).

What do you need for this? A workflow engine, because it’s all about making repetitive tasks easier. I chose n8n.io. Why? Because my old open-source heart beat fastest when I realized that most of it is still open source and you can even run it locally in a Docker container. But remember, in that case, not all features are included. I learned this the hard way: after a Docker update (don’t ask why), all my saved workflows were gone.
Additionally, you need Reddit API access. You’ll find the documentation, or ask the AI of your choice. And you need API access to a chat tool of your choice. I went with Mistral for personal reasons. For example, I prefer to keep my money in Europe rather than feeding it to a self-proclaimed „AI god“.
Then you’re quickly setting up a workflow. The trigger can be anything; in this case, I used a chat interaction point because I wanted the result to be readable. I’ve tried other things, but they didn’t yield such clear results.
First, fetch the last 5 top posts. These are needed to get the interesting comments on the posts. For this, you need the small code snippet between the two Reddit blocks. The data needs to be cleaned up a bit first. The collected comments (aggregate) are then passed to the AI for evaluation.
more details are here…
First, the top/last 5 posts from Reddit Wallstreetbets are fetched.
The result looks something like this:
[
{
"approved_at_utc": null,
"subreddit": "wallstreetbets",
"selftext": "",
"author_fullname": "t2_17bz2ly0",
"saved": false,
…
"subreddit_name_prefixed": "r/wallstreetbets",
…
"name": "t3_1mqydot",
…
}
]
As you can see (or not), there’s a lot of information. But we’re only interested in the name, which always has a t3_ prefix. So we need the code snippet to adjust it:
for (const item of $input.all()) {
item.json.cleaned_post = item.json.name.substring(3);
}
return $input.all();
Interestingly, you can drag and drop item.json.name into place. Overall, I can work incredibly fast with JSON objects in my workflow engine. I liked that!
Next, we go through these names and fetch all the comments:
We use json.cleaned_post as the post ID, which is the result of the previous code block.
Now we have about 500 comments that we can use to either get stinking rich or lose everything. From here, I let the AI summarize everything so I can actually „do something“ with it.
The AI agent is unleashed on the aggregated comments. Of course, I gave it some instructions. The instructions go into the system prompt, and the comments go into the user prompt. I’ll leave you to ponder what the system prompt might look like.
The AI as a „New York Broker“
I gave the AI a simple task: „You are a New York broker reading /r/wallstreetbets. Tell me what people really mean—and whether I should join in.“
Here are the highlights of its analysis:
- NVIDIA ($NVDA): „LOAD THE BOAT!!! Buy hand over fist ASAP.“ The AI was sure: Anyone not going all-in on NVDA is a coward. My thought: The AI hasn’t learned what „bubbles“ are yet.
- Target ($TGT): „Extremely divisive. Bulls: ‚Stores packed!‘, Bears: ‚Sales shitty.’“ The AI suggested a straddle. My thought: I didn’t even know what that was.
- Palantir ($PLTR): „‚Fuck PLTR‘ vs. ‚Diamond hands.’“ The AI was torn. My conclusion: Stay away.
- Roblox ($RBLX): „Dead by Oct 17.“ My thought: That sounded like a Halloween joke. Until I saw the charts.
Stock
AI Recommendation
Reality
NVDA
„LOAD THE BOAT“
+5% (then -10%)
PLTR
„Diamond hands“
-15% (and falling)
TGT
„Straddle!“
„What is a straddle?“
Here’s the complete madness!
🔥 High-Conviction Plays (Strong Bullish/Bearish Consensus)
- NVIDIA ($NVDA)
- Sentiment: „LOAD THE BOAT!!!“, „Buy hand over fist ASAP,“ multiple users all-in.
- Why:
- AI/GPU demand still white-hot. Earnings beat expectations, and the pullback from $140→$110 is seen as a buying opportunity.
- Play: Long-term calls (Jan 2025+), or shares if you’re not leveraged. Avoid short-term options (IV is high).
- Risk: Valuation is rich (PE ~70), but momentum is king here.
- Estée Lauder ($EL)
- Sentiment: Mixed but leaning bullish—multiple „EL calls?“ posts, Michael Burry’s $40M call bet ahead of earnings (today).
- Why:
- Luxury cosmetics = recession-resistant. China reopening tailwinds.
- Play: If earnings beat (consensus EPS $0.21), Sept $250/$260 calls could print. If miss, $230 puts.
- Risk: Burry’s bet is a double-edged sword—could be a trap.
- TJX Companies ($TJX)
- Sentiment: Bullish earnings play (reporting tomorrow).
- „Only missed earnings once in 2 years,“ „Calls for TJX?“
- Play: ATM (Aug $95) calls for a post-earnings pop. Avoid puts unless guidance is terrible.
- Risk: Retail is volatile; guidance could spook.
- Sentiment: Bullish earnings play (reporting tomorrow).
- Target ($TGT)
- Sentiment: Extremely divided.
- Bulls: „Stores packed,“ „Calls will print.“
- Bears: „Sales shitty,“ „Gap up then crash post-earnings.“
- Play: Straddle or iron condor (wide wings) for volatility. Or wait for earnings reaction.
- Sentiment: Extremely divided.
🎰 Speculative Bets (High Risk/Reward)
- Palantir ($PLTR)
- Sentiment: „Fuck PLTR“ vs. „Diamond hands.“
- Bears: „Genocide surveillance company,“ „Always gets hated by WS.“
- Bulls: „Govt contracts = long-term play.“
- Why:
- Short-term: Puts if market stays weak (tech under pressure).
- Long-term: LEAPS (Dec 2025 $25+) if you believe in AI/govt contracts.
- Catalyst: Earnings (Aug 5). Avoid holding over ER.
- Sentiment: „Fuck PLTR“ vs. „Diamond hands.“
- Intel ($INTC)
- Sentiment: „SoftBank’s $2B investment = bullish?“
- Bulls: „Could be $100 by 2026,“ „Foundry pivot.“
- Bears: „Terrible leadership,“ „ARM is winning.“
- Play:
- Short-term: Calls if $INTC holds $25 support (bounce play).
- Long-term: Shares if you believe in turnaround (high risk).
- Sentiment: „SoftBank’s $2B investment = bullish?“
- Obesity Drugs ($VKTX, $GDS, $VNET)
- Sentiment: „JP Morgan says $VKTX is overweight.“
- Play: $VKTX Sept calls (obesity drug hype).
- Risk: Biotech is binary—could crash on trial data.
- Sentiment: „JP Morgan says $VKTX is overweight.“
- Weed Stocks ($TLRY, $CURLF, etc.)
- Sentiment: „Rescheduling hype“ (Trump meeting with MSOs).
- Play: $TLRY Sept calls if you believe in political tailwinds.
- Risk: Pure speculation—no fundamentals.
- Sentiment: „Rescheduling hype“ (Trump meeting with MSOs).
- Chinese Penny Stocks ($FUTU, etc.)
- Sentiment: „Pump-and-dump warnings“ (WSB lost $3.7B in July).
- Avoid: Unless you’re day-trading with a stop-loss.
- Sentiment: „Pump-and-dump warnings“ (WSB lost $3.7B in July).
🌍 Macro Themes (Big-Picture Moves)
- Jackson Hole & Fed Policy
- Sentiment: „No rate cut = market tank.“
- Play:
- Short-term: VIX calls or SPY puts if Powell is hawkish (Aug 23).
- Long-term: TLT calls if recession fears rise (yield curve inversion).
- Play:
- Key Levels: SPY $550 support, $560 resistance.
- Sentiment: „No rate cut = market tank.“
- Semiconductors ($AMD, $INTC, $SMCI)
- Sentiment: „AMD to the moon!“ (vs. NVDA).
- Play: $AMD Sept calls (cheaper than NVDA, AI/CPU exposure).
- Risk: Tariff fears (Trump’s 10% China tax threat).
- Sentiment: „AMD to the moon!“ (vs. NVDA).
- Retail & Consumer ($TGT, $BJ, $COST, $TJX)
- Sentiment: „TGT will crash,“ „BJ’s earnings whipsaw.“
- Play:
- $XRT (retail ETF) puts if consumer weakness persists.
- $COST calls as a „safe“ retail play.
- Play:
- Sentiment: „TGT will crash,“ „BJ’s earnings whipsaw.“
- Energy ($UUUU, $XOM)
- Sentiment: „UUUU is a piece of shit“ (uranium slide).
- Play: $XOM calls if Middle East tensions flare (oil spike).
- Sentiment: „UUUU is a piece of shit“ (uranium slide).
🚨 Red Flags (Avoid or Fade)
- $PLTR, $OPRA, $DNUT
- Why: Pump-and-dump risk, weak fundamentals.
- $MSTR (MicroStrategy)
- Sentiment: „Caught a falling knife.“
- Avoid: Tied to BTC’s volatility—no edge here.
- $RBLX (Roblox)
- Sentiment: „Dead by Oct 17.“
- Play: Puts if you’re bearish on gaming/ad spending.
- $HOOD (Robinhood)
- Sentiment: „HOOD LEAPS?“ (desperation play).
- Avoid: No clear catalyst; revenue tied to meme-stock volumes.
- $UPS, $GENI
- Sentiment: Random mentions, no conviction.
🏆 Top 3 Trades I’d Consider
- $NVDA Long-Term Calls (Jan 2025 $150)
- Why: AI secular trend > short-term valuation concerns.
- $EL Earnings Straddle (Aug $250/$240)
- Why: Burry’s bet + high IV = opportunity for volatility play.
- $TJX Aug $95 Calls
- Why: High probability of earnings beat (historical consistency).
📉 Top 3 Fades (Bearish Bets)
- $PLTR Puts (Sept $18)
- Why: Weak chart, no clear catalyst, WSB bagholders trapped.
- $TGT Puts (Post-Earnings)
- Why: Insider sentiment („sales shitty“) + high expectations.
- $SPY Puts (If Powell is Hawkish)
- Why: Market is pricing in a 50% chance of Sept cut—disappointment = sell-off.
💡 Final Thoughts
- Avoid 0DTEs: Too much luck involved (see: „net gain of $6 after commish“).
- Earnings Plays: $EL, $TJX, $TGT are the focus—position size accordingly.
- Macro Hedging: If you’re long tech, consider small VIX calls as insurance.
- Meme Stocks: $PLTR, $MSTR, $RBLX are lottery tickets—don’t YOLO.
- Crypto: BTC at $60K is „fair value“ per WSB—wait for $50K to buy.
🚀 WSB’s „Market Vibes“
- „Market’s going to skyrocket over the next 7 days“ (bullish).
- „It’s ripe for correction“ (bearish).
- Consensus: No one knows shit—trade the trend, not the narrative.
TL;DR:
- Bullish: $NVDA, $EL, $TJX, $AMD, $VKTX.
- Bearish: $PLTR, $TGT (post-ER), $SPY (if Powell hawkish).
- Avoid: $MSTR, $RBLX, $HOOD, Chinese pennies.
- Macro: Watch Jackson Hole (Aug 23) for Fed clues.
Disclaimer: This is not financial advice—WSB is a casino, and 90% of these degens will lose money. Trade responsibly. 🎰
The Result: A Casino with Better Graphics
In the end, I had a list of stocks that would either 10x or ruin me. Business as usual for /r/wallstreetbets.
If I had listened to the AI, I’d either be a millionaire or homeless now. Luckily, I only risked 50€—and now it’s worth 45€.
Conclusion: AI is no magic wand, but an entertaining accomplice
The AI showed me that /r/wallstreetbets is a casino—but now with better graphics and less effort for me.
What I learned:
- AI can tell you what Reddit thinks. Whether that’s smart is another question.
- Automation is great until it shows you how dumb your ideas are.
- Next time, I might just let the AI order pizza.
- n8n is a good start as a workflow engine, but if I need more, I’d rather code it myself.
Why is n8n just a good start for me? I quickly reached my patience limit when I tried to expand the workflow to include current news from the web. There are tools for this, like Tavily or Firecrawler, that can be integrated into „this AI.“ But as someone who has spent their entire career working with code and architecture, I quickly reached the point where I could code something faster myself. Maybe I’m just not the right target audience?
Disclaimer: This is not financial advice. If you trade stocks based on this post, it’s your own fault.
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