Miles Deutscher ✓
@milesdeutscher · joined 19 Jun 2013
Obsessed with AI. Tweets aren’t financial advice. Building @aiedge_.
678 233Followers
2 160Following
24 758Posts total
508.4KViews on collected posts
Ultimi post
Cerchiamo nuovi post…
GPT-6 Astra is insane for crypto research.
I run these prompts, and it's like having 24/7 research quants in my pocket.
🧵: 10 cracked GPT-6 Astra crypto research prompts (copy/paste).👇
28.7K views · 118 likes
· 9 reposts · 12 replies
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@milesdeutscher @milesdeutscher I wonder if the gap will widen or close over time. Seems like AI races are heating up!
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@milesdeutscher I can not tell you how I hate YouTube clickbate wording.
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GPT-6 Astra versus Fable 5.1. The winner wasn't even close...
My verdict on the best AI model in the world right now: https://t.co/CmDSOY5vpo
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21:08
I almost didn't believe this chart when I first saw it.
Robinhood $HOOD now makes more money from prediction markets than from stock trading.
We are entering a financial markets gold rush. Prediction markets, crypto, tokenised stocks.
People will be able to trade anything, htt
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My complete system for trading on-chain with AI (tools attached).
Idea generation → fundamentals → TA → automation w/ Grok Bot.
This cycle belongs to traders using AI. It's never been easier to print.
Save this & feed it to your Grok Bot: https://t.co/tosXZrm3Xu
40.5K views · 192 likes
· 9 reposts · 21 replies
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My current thoughts on the Robinhood ecosystem (and how I'm currently playing things):
Obviously one of the hottest trends in crypto right now with a huge moat.
There's a whole segment of people who were never in crypto, or got bored of it years ago, taking risk again for the
38.5K views · 222 likes
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Another cool tool worth mentioning is @waypointworld.
TL;DR: allows you to launch AI agents/tooling on-chain (and even other asset classes like equities).
e.g., you can launch AI trading agents on Robinhood that buy/sell based on tweets/CT.
Cool stuff
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@milesdeutscher You know how I do it. I just buy them all before you guys start talking about them.
Then when you do
I stand on the sell button
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I hope you've found this thread helpful.
If you did, be sure to follow me here @milesdeutscher - I regularly post about how to practically leverage AI in financial markets.
By the way, I recently launched my free Skool community.
I drop a ton of valuable resources in here. htt
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0:15
So to recap the full research system:
1. Manual curation/idea generation from 𝕏, Telegram, and Discord
2. Grok chat for basic fundamental research
3. The DD prompt for deep research (if needed)
4. Manual TA/charting for invalidation and R:R
5. Agents to scan, monitor, and alert
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Small trick that saves a lot of time:
Scribble an X on your chart where you want to buy, then tell your agent to read the chart.
For example, you can connect Grok Bot to an exchange (like Blofin), draw the setup you're watching, and have it execute when the setup forms. https:/
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Bot 3: Stop-loss and take-profit agent
This agent monitors your alert levels and pings you when the price gets close to an entry or an invalidation level. https://t.co/199wIFNXgP
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Bot 2: Position Monitoring
Connect this agent to your exchange, set your stops and liquidation levels, and it sends you a morning risk brief. https://t.co/AyaTe5auYg
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Bot 1: CT Signal Scout
A 24/7 Bot that scans your 𝕏 watchlists and algo for market alpha.
You can even get this to scan FOMO/other trading leaderboards: https://t.co/Naf1YmxwYX
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Step 4. Automation layer
This is the step where things get fun, and you can launch genuinely useful market research agents.
I personally run my market research agents on Grok Bot, but other AI harnesses work too.
Some cool Grok Bot use cases to automate research further:
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This is a crucial and underrated aspect of trading.
I can't stress enough how important it is to clearly define your downside risk.
AI can certainly help here, but most of my TA is still done manually.
I will not take trades without a clear invalidation.
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Step 3. Deep technical analysis
Fundamentals are important, but they're only half the game.
Once the thesis checks out, I look at the chart and give myself clear invalidation.
On $CHIP, my technical invalidation was the recent swing low (dotted line). https://t.co/K8KMLYSXCb
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The above prompt is exactly what I used to form my thesis on $CHIP (inspired by @zeroxkyle), which led to a +20% trade.
The flow for this trade was essentially: find good info on 𝕏 → feed to Grok 4.6 for a deeper dive → long based on thesis confirmation https://t.co/mwWlyl9asC
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Here's a really good market due diligence prompt that I run regularly with Grok.
Gives you a snapshot, revenue breakdown, narrative analysis & more.
Best for when you need deep, curated research - save this somewhere: https://t.co/hLxMxBm49d
4.9K views · 23 likes
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Another example: I recently bookmarked a post from @zeroxkyle (which was really good), then used Grok to conduct a deeper dive on his thesis.
Asking for things like revenue analysis, bull/bear case, sentiment, etc. https://t.co/jhNTTdUJCF
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0:08
Step 2. Deep fundamental research (Grok 4.6)
My favourite LLM for crypto research is hands down the new Grok 4.6 model.
Super easy to just hit the Grok button and conduct deep research dives right in the app.
btw, you can even have Grok analyse crypto videos/technical https://
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The same principle applies to Telegram and Discord.
I highly recommend getting into good groups, joining paid communities, etc, etc.
(If you can, it's also worth it to pay for 𝕏 subs from good traders)
Manual curation and research make you smarter, and if you want to leverage
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Secondly, timelines.
This new feature lets you switch to market-only feeds.
Must-adds: crypto, stocks, finance.
Every single day, I bookmark top posts, and I'm essentially building a mini knowledge base of trade ideas that I can then send to AI to filter and research further.
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The cool thing about 𝕏 is that sourcing good information has never been easier.
I have two methods for spotting market alpha:
Firstly, custom 𝕏 lists.
These are custom market lists with my top CT/market accounts - everyone should build their own. https://t.co/vzLzXoBW7Q
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Step 1. Idea generation
A majority of my market research starts here on 𝕏.
I'm a big believer that even with AI, you should spend time on manual trade idea generation.
More specifically, every trader should have a dedicated routine for market research and staying tapped in.
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I constantly get swamped with questions asking how to actually leverage AI to spot crypto alpha.
In today's thread, I'm covering everything you need to know.
This is the exact research system I used to catch a +20% trade just a few days ago on $CHIP.
Let's get right into it: h
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How I use AI to spot altcoins BEFORE they pump.
I'm about to reveal my cracked AI research system.
This thread is a goldmine. Bookmark it.
🧵: My full crypto x AI research flow (prompts attached).👇
216.6K views · 560 likes
· 64 reposts · 31 replies
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Rispetto ad account della stessa dimensione
28 post degli ultimi 90 giorni, accanto alla fascia di 100K–1M follower. sotto i pari sia per copertura sia per interazione.
Visualizzazioni mediane4 986questo account4 398mediana per 100K–1M
Copertura, %0.74%questo account1.71%mediana per 100K–1M
Interazione, %0.34%questo account1.35%mediana per 100K–1M
| Metrica | Questo account | Mediana per 100K–1M | Rapporto |
|---|---|---|---|
| Visualizzazioni mediane per post | 4 986 | 4 398 | 1.13× |
| Copertura (visualizzazioni ÷ follower) | 0.74% | 1.71% | 0.43× |
| Tasso di interazione | 0.34% | 1.35% | 0.25× |
Altri account di questa fascia → Confronta con un altro account → Come sono costruiti questi parametri →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
3K4 Sep
2.8K
2.7K
4.5K
4.4K
971
4K
38.5K7 Sep
40.5K
38.3K8 Sep
42.6K
504
288
28.7K
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.40%4 Sep
0.46%
0.45%
0.33%
0.56%
0.51%
0.38%
0.70%7 Sep
0.55%
0.91%8 Sep
0.25%
0.00%
0.69%
0.49%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.35%.
What the audience does
Likes36.8%1 745 in total
Reposts2.5%117 in total
Replies3.9%184 in total
Quotes0.2%10 in total
Bookmarks56.7%2 691 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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