Optimize Your Crypto Strategy with ASCN.AI

ASCN.AI provides focused tools for cryptocurrency analysis. Users can track wallets and signals with automation that pulls real-time data from blockchains, exchanges, and social media to deliver practical insights—no coding required.

Tailored AI for Crypto Markets

ASCN.AI handles Web3 data like on-chain transactions and wallet activities. Users monitor specific addresses or token signals using ready-made templates. For example, set up a workflow that sends alerts when a wallet hits a transaction limit, drawing data straight from Ethereum or Solana nodes.

This method spots whale movements or odd patterns, such as big transfers to exchanges that hint at sell-offs. Traders get Telegram notifications, skipping the daily grind of manual checks.

24/7 Availability – Your Private Analyst

The system scans nonstop for signals like price shifts or volume surges across chains. It links to APIs from Dune Analytics or Nansen for full coverage, all hands-off.

After hours, ASCN.AI checks sentiment in Telegram groups and Twitter to flag rising trends. Someone watching an altcoin portfolio receives quick summaries of holder distributions, revealing early accumulation.

Exclusive Web3 Data Integration

ASCN.AI taps into unique datasets on fund flows and smart contract interactions that other AI tools miss. It automates detection for events like token unlocks or liquidity shifts.

For wallet tracking, it follows labeled addresses linked to exchanges or funds and ties them to market events. Reports come structured, pointing out risks like upcoming dumps from past patterns.

How ASCN.AI Works

ASCN.AI runs as a no-code platform. Users create workflows visually by linking triggers, logic, and AI agents to handle monitoring tasks.

Connect to Leading Analytics Tools

Begin by connecting accounts to Google Sheets for storage or Telegram for alerts. It handles HTTP requests to APIs from Chainlink or The Graph, grabbing on-chain data without scripts.

A standard setup starts with a trigger for new blockchain events, then an AI agent reviews wallet balances. For signals, it checks for arbitrage between DEXs and alerts on price differences over 2%.

Comprehensive Market Overviews in Seconds

After setup, workflows handle queries in less than 10 seconds. Input a wallet address, and it fetches transaction history, token holdings, and interaction graphs.

For signals, try a prompt like "Monitor SOL wallet 0x... for transfers over $10,000." It produces ongoing reports, pulling from multiple chains with visuals of fund flows that show smart money moves.

Reducing the Learning Curve for Beginners

No programming skills needed—drag-and-drop nodes manage the details. New users pick templates for tasks like daily signal summaries or wallet lists.

Tutorials walk through setup: Add a trigger for email alerts, logic to filter high-volume trades, and an AI block to explain results. This turns raw data into straightforward alerts, such as "Wallet activity points to building buy pressure on ETH."

Benefits of Using ASCN.AI

Automation leaves more time for trading decisions, and sharp signals boost accuracy in fast-moving markets.

Save Time and Effort

Tracking wallets manually means endless API checks and data sifting, easy to miss signals. ASCN.AI takes over with scheduled workflows, sending consolidated updates that shrink research from hours to minutes.

Users spend 80% less time monitoring, freeing them for trades. One workflow alerting to CEX inflows, for instance, heads off surprise dumps and protects capital in downturns.

Access to Exclusive Insights

The platform reveals hidden patterns, like wallet groups suggesting manipulation. On-chain explorers add layers beyond free tools.

Signals factor in sentiment from specialized channels to predict pumps. Blockchain-indexed data gives traders a lead over the crowd.

Avoid Common Trading Mistakes with Data-Driven Advice

Emotions lead to losses; automated checks build discipline through solid signals. The AI highlights issues like liquidity drops, triggering quick risk reviews.

Users skip FOMO buys in hype by checking wallet flow reports that show selling rather than buying.

Features You Can Utilize Immediately

Main tools let you set up monitoring right away.

Real-Time Market Analysis

Workflows grab live data on prices, volumes, and order books. Create alerts for RSI shifts paired with wallet outflows.

Try this prompt: "Analyze wallet interactions for LINK over the last hour." Output: "Three major holders added 500,000 tokens; sentiment positive from recent partnerships." Use it to take positions fast. For more, check exchange flows for LINK at this link.

Sentiment Assessment from Various Channels

AI reviews Telegram, Twitter, and news for mentions, rating them bullish or bearish. Pair it with wallet data to confirm signals.

Example output: "Wallet 0x... moved 1M USDT to Binance as negative sentiment grows on XRP bounces." Hedge based on that. See related strategies in our XRP trading guide.

Scenario Planning and Strategy Formulation

Run what-if simulations for wallet moves, like "If a whale sells 10%, what's the price hit?" AI models results from history.

It helps tweak portfolios and sets stops based on signal reliability. Advanced tips in our successful crypto trading guide.

Starting with ASCN.AI

Get monitoring workflows running in minutes through easy interfaces.

Simple Step-by-Step Guide to Get Started

1. Sign up and open the dashboard.
2. Select a template for wallet tracking or signal alerts.
3. Set triggers: Add wallet addresses or token symbols.
4. Include AI agents: Set prompts for analysis, like "Track transfers and sentiment."
5. Choose outputs: Connect to Telegram or email for notifications.
6. Turn on the workflow and run a test with sample data.

This ties in tools like Google Sheets for signal logs, keeping everything smooth.

Sample Prompts to Explore

Plug these into the AI agent node for strong monitoring:

• "Monitor wallet 0x... for ETH transfers over $5,000 and summarize holder changes."
• Response example: "Last 24 hours: Two inflows totaling 10 ETH from exchanges; total balance up 15%. No major outflows detected."
• "Generate signals for BTC volatility: Check on-chain metrics and social buzz."
• Response example: "High volume on-chain with whale accumulation; Twitter sentiment at 65% positive. Potential long setup."
• "Alert on Solana wallet activity tied to DEX trades."
• Response example: "Recent swap of 100 SOL for memecoins; liquidity added to pool, signaling pump risk."

Call to Action: Try asking: “Show me the latest statistics for BTC” to see instant on-chain insights.

Hear from Our Users

Real stories show how the platform improves automated monitoring.

Testimonials and Case Studies

A trader said: "Before ASCN.AI, I overlooked a wallet signal in a dip and lost 20% on a trade. Now, alerts catch whale activity right away, flipping losses into 15% gains on recoveries."

Case study: An analyst monitored altcoin signals with on-chain flows and sentiment. They spotted an undervalued token early for 3x returns in a week. Similar approaches in our top AI trading bots for 2025.

Another user: "No-code tools let me follow multiple wallets across chains effortlessly. Inflow signals timed my entries spot-on."

Explore user successes in how ASCN aided LAB token profits.