Binance Square
#makeautomation

makeautomation

202 skatījumi
4 piedalās diskusijā
Agentic_Shanky
·
--
Skatīt tulkojumu
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
Raksts
Skatīt tulkojumu
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*
Vairs nav nožēlojamas ritināšanas kripto Twitter plkst. 7:00. Es izveidoju vienkāršu AI pētījumu rutīnu, kas man dod visu, kas man nepieciešams, mazāk nekā 15 minūtēs. Šeit ir precīzi, kā 👇 1. solis — Uzdodiet Perplexity šo: "Kuri kripto sektori šonedēļ saņem visvairāk uzmanības un kāpēc?" Šodien tas man teica — AI žetoni un RWA (Reālās pasaules aktīvi) šobrīd dominē investoru uzmanību. 2. solis — Iedziļinieties ar ChatGPT: "Dodies uz augšu 3 monētām AI kripto sektorā ar spēcīgākajiem pamatiem šobrīd" Ieguva skaidru sadalījumu 60 sekundēs. Nav troksņa. Tikai signāls. 3. solis — Automatizējiet darba plūsmu: Es izmantoju Make.com, lai automātiski saglabātu savu ikdienas AI pētījumu Google dokumentā. Katru rītu — svaigs pētījums gaida mani. Nulles manuālas pūles. Tieši tā izskatās kripto pētījumi 2026. gadā. Ātri. Fokusēti. AI vadīti. Cilvēki, kas joprojām lasa 50 jaunumu izdevumus katru dienu, jau ir aiz muguras. "Labākais kripto investors 2026. gadā nav tas, kurš strādā visgrūtāk — tā ir tas, kurš visgudrāk izmanto AI." #CryptoResearch #PerplexityAI #MakeAutomation #TAO #RNDR
Vairs nav nožēlojamas ritināšanas kripto Twitter plkst. 7:00.

Es izveidoju vienkāršu AI pētījumu rutīnu, kas man dod visu, kas man nepieciešams, mazāk nekā 15 minūtēs. Šeit ir precīzi, kā 👇
1. solis — Uzdodiet Perplexity šo:
"Kuri kripto sektori šonedēļ saņem visvairāk uzmanības un kāpēc?"

Šodien tas man teica — AI žetoni un RWA (Reālās pasaules aktīvi) šobrīd dominē investoru uzmanību.

2. solis — Iedziļinieties ar ChatGPT:
"Dodies uz augšu 3 monētām AI kripto sektorā ar spēcīgākajiem pamatiem šobrīd"
Ieguva skaidru sadalījumu 60 sekundēs. Nav troksņa. Tikai signāls.

3. solis — Automatizējiet darba plūsmu:
Es izmantoju Make.com, lai automātiski saglabātu savu ikdienas AI pētījumu Google dokumentā. Katru rītu — svaigs pētījums gaida mani. Nulles manuālas pūles.

Tieši tā izskatās kripto pētījumi 2026. gadā. Ātri. Fokusēti. AI vadīti.
Cilvēki, kas joprojām lasa 50 jaunumu izdevumus katru dienu, jau ir aiz muguras.

"Labākais kripto investors 2026. gadā nav tas, kurš strādā visgrūtāk — tā ir tas, kurš visgudrāk izmanto AI."
#CryptoResearch #PerplexityAI #MakeAutomation #TAO #RNDR
Pieraksties, lai skatītu citu saturu
Pievienojies kriptovalūtu entuziastiem no visas pasaules platformā Binance Square
⚡️ Lasi jaunāko un noderīgāko informāciju par kriptovalūtām.
💬 Uzticas pasaulē lielākā kriptovalūtu birža.
👍 Atklāj vērtīgas atziņas no pārbaudītiem satura veidotājiem.
E-pasta adrese / tālruņa numurs