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makeautomation

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Agentic_Shanky
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I asked an AI agent to scan 3 months of BTC on-chain data in 7 minutes. A manual analyst would've taken 3 days. Here's exactly what I ran: Perplexity Pro → pulled recent BTC miner outflow reports + exchange wallet movement summaries Make.com automation → fed that data into a structured research template Output → a clean entry thesis with 4 key signals: miner capitulation levels, exchange reserve drops, funding rate shifts, and open interest divergence. Total time: 7 minutes. Total cost: $0 extra (existing subscription). The result? I went into this week's BTC setup with actual data behind my decision — not gut feel, not Twitter noise. That's the difference between guessing and researching. On-chain signals don't lie. AI agents just make them readable in under 10 minutes. #BTC #OnChainAnalysis #MakeAutomation #CryptoTools #BinanceSquareTalks
I asked an AI agent to scan 3 months of BTC on-chain data in 7 minutes.
A manual analyst would've taken 3 days.

Here's exactly what I ran:
Perplexity Pro → pulled recent BTC miner outflow reports + exchange wallet movement summaries
Make.com automation → fed that data into a structured research template
Output → a clean entry thesis with 4 key signals: miner capitulation levels, exchange reserve drops, funding rate shifts, and open interest divergence.
Total time: 7 minutes.
Total cost: $0 extra (existing subscription).
The result? I went into this week's BTC setup with actual data behind my decision — not gut feel, not Twitter noise.
That's the difference between guessing and researching.
On-chain signals don't lie. AI agents just make them readable in under 10 minutes.
#BTC #OnChainAnalysis #MakeAutomation #CryptoTools #BinanceSquareTalks
Articol
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How I Automated My Entire Crypto Research Workflow Using Make.com + AI (And What It Found on SOL)Most crypto traders spend 2–3 hours daily doing the same repetitive research — checking news, scanning sentiment, pulling on-chain data, and then manually deciding if a coin is worth watching. I automated all of it. Here's the exact workflow I built using Make.com and a few AI tools that now runs every morning without me touching anything. The Problem With Manual Research You open 6 tabs. Check CoinGecko. Read three news articles. Open TradingView. Pull up Nansen or Glassnode. Cross-reference everything in your head. By the time you form an opinion, the price has already moved. This isn't research — it's reactive noise consumption. The fix isn't working harder. It's removing yourself from the loop. The Workflow I Built Here's what runs automatically every day at 7 AM: Step 1 — Trigger (Make.com scheduler) A scheduled scenario fires every morning. No manual input needed. Step 2 — News Aggregation Make.com pulls the latest crypto headlines via RSS feeds (CoinDesk, The Block, Decrypt). These get passed into the next module as raw text. Step 3 — AI Sentiment Layer (via HTTP module → Claude/Perplexity API) The headlines are sent to an AI model with a structured prompt: "Analyze these headlines. Flag any coins mentioned. Rate overall market sentiment: Bullish / Bearish / Neutral. Highlight any protocol updates or tokenomics events." Output: A clean structured summary — coin names, sentiment score, key events. Step 4 — On-Chain Signal Check If a coin is flagged, Make.com hits a Nansen or Glassnode endpoint to pull wallet activity data for that token. Unusual on-chain activity gets marked separately. Step 5 — Final Report Delivery Everything gets compiled and sent to my Telegram at 7:15 AM — formatted, ranked by relevance, ready to act on. What It Found on SOL Last Week Three days before SOL made a notable move, this workflow flagged: Spike in active wallets (on-chain data) Two major protocol update mentions across news feeds AI sentiment scored: Bullish (High Confidence) I already had my entry thesis formed before most people even opened their charts that morning. That's the edge. Why This Matters for Solo Crypto Researchers You don't need a hedge fund research team. You need one automated workflow that surfaces the right signal at the right time — before the crowd catches on. Make.com handles the automation. AI handles the analysis. You handle the decision. The whole setup took about 4 hours to build once. Now it saves me 2+ hours every single day — and the quality of research is higher than anything I was doing manually. Want to Build This? Start with Make.com's free tier — it's enough to run this entire workflow. Connect your news sources, add an HTTP module for the AI layer, and set up a Telegram bot for delivery. The infrastructure is free or near-free. The edge it gives you is not #CryptoResearch #MakeAutomation #AIWorkflow #Solana #DYOR*

How I Automated My Entire Crypto Research Workflow Using Make.com + AI (And What It Found on SOL)

Most crypto traders spend 2–3 hours daily doing the same repetitive research — checking news, scanning sentiment, pulling on-chain data, and then manually deciding if a coin is worth watching.
I automated all of it.
Here's the exact workflow I built using Make.com and a few AI tools that now runs every morning without me touching anything.
The Problem With Manual Research
You open 6 tabs. Check CoinGecko. Read three news articles. Open TradingView. Pull up Nansen or Glassnode. Cross-reference everything in your head. By the time you form an opinion, the price has already moved.
This isn't research — it's reactive noise consumption.
The fix isn't working harder. It's removing yourself from the loop.
The Workflow I Built
Here's what runs automatically every day at 7 AM:
Step 1 — Trigger (Make.com scheduler)
A scheduled scenario fires every morning. No manual input needed.
Step 2 — News Aggregation
Make.com pulls the latest crypto headlines via RSS feeds (CoinDesk, The Block, Decrypt). These get passed into the next module as raw text.
Step 3 — AI Sentiment Layer (via HTTP module → Claude/Perplexity API)
The headlines are sent to an AI model with a structured prompt:
"Analyze these headlines. Flag any coins mentioned. Rate overall market sentiment: Bullish / Bearish / Neutral. Highlight any protocol updates or tokenomics events."
Output: A clean structured summary — coin names, sentiment score, key events.
Step 4 — On-Chain Signal Check
If a coin is flagged, Make.com hits a Nansen or Glassnode endpoint to pull wallet activity data for that token. Unusual on-chain activity gets marked separately.
Step 5 — Final Report Delivery
Everything gets compiled and sent to my Telegram at 7:15 AM — formatted, ranked by relevance, ready to act on.
What It Found on SOL Last Week
Three days before SOL made a notable move, this workflow flagged:
Spike in active wallets (on-chain data)
Two major protocol update mentions across news feeds
AI sentiment scored: Bullish (High Confidence)
I already had my entry thesis formed before most people even opened their charts that morning.
That's the edge.
Why This Matters for Solo Crypto Researchers
You don't need a hedge fund research team. You need one automated workflow that surfaces the right signal at the right time — before the crowd catches on.
Make.com handles the automation. AI handles the analysis. You handle the decision.
The whole setup took about 4 hours to build once. Now it saves me 2+ hours every single day — and the quality of research is higher than anything I was doing manually.
Want to Build This?
Start with Make.com's free tier — it's enough to run this entire workflow. Connect your news sources, add an HTTP module for the AI layer, and set up a Telegram bot for delivery.
The infrastructure is free or near-free. The edge it gives you is not
#CryptoResearch #MakeAutomation #AIWorkflow #Solana #DYOR*
Nu mai răsfoiesc doom scrolling pe Twitter-ul crypto la 7 dimineața. Am construit o rutină simplă de cercetare AI care îmi oferă tot ce am nevoie în mai puțin de 15 minute. Iată exact cum 👇 Pasul 1 — Întreabă Perplexity asta: "Care sectoare crypto primesc cea mai mare atenție săptămâna aceasta și de ce?" Astăzi mi-a spus — tokenii AI și RWA (Active din Lumea Reală) domină atenția investitorilor chiar acum. Pasul 2 — Mergi mai profund cu ChatGPT: "Dă-mi cele mai bune 3 monede din sectorul crypto AI cu cele mai puternice fundamentale chiar acum" Am primit o analiză clară în 60 de secunde. Niciun zgomot. Doar semnal. Pasul 3 — Automatizează fluxul de lucru: Folosesc Make.com pentru a salva automat cercetarea mea zilnică AI într-un Google Doc. În fiecare dimineață — cercetare proaspătă așteptându-mă. Zero efort manual. Așa arată cercetarea crypto în 2026. Rapid. Concentrat. Alimentat de AI. Oamenii care citesc în continuare 50 de buletine informative zilnic sunt deja în urma. "Cel mai bun investitor crypto din 2026 nu este cel care muncește cel mai mult — este cel care folosește AI cel mai inteligent." #CryptoResearch #PerplexityAI #MakeAutomation #TAO #RNDR
Nu mai răsfoiesc doom scrolling pe Twitter-ul crypto la 7 dimineața.

Am construit o rutină simplă de cercetare AI care îmi oferă tot ce am nevoie în mai puțin de 15 minute. Iată exact cum 👇
Pasul 1 — Întreabă Perplexity asta:
"Care sectoare crypto primesc cea mai mare atenție săptămâna aceasta și de ce?"

Astăzi mi-a spus — tokenii AI și RWA (Active din Lumea Reală) domină atenția investitorilor chiar acum.

Pasul 2 — Mergi mai profund cu ChatGPT:
"Dă-mi cele mai bune 3 monede din sectorul crypto AI cu cele mai puternice fundamentale chiar acum"
Am primit o analiză clară în 60 de secunde. Niciun zgomot. Doar semnal.

Pasul 3 — Automatizează fluxul de lucru:
Folosesc Make.com pentru a salva automat cercetarea mea zilnică AI într-un Google Doc. În fiecare dimineață — cercetare proaspătă așteptându-mă. Zero efort manual.

Așa arată cercetarea crypto în 2026. Rapid. Concentrat. Alimentat de AI.
Oamenii care citesc în continuare 50 de buletine informative zilnic sunt deja în urma.

"Cel mai bun investitor crypto din 2026 nu este cel care muncește cel mai mult — este cel care folosește AI cel mai inteligent."
#CryptoResearch #PerplexityAI #MakeAutomation #TAO #RNDR
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