Crypto AI Market Analyzer

Crypto AI Market Analyzer

by yoloshii

Daily BTC & ETH trading signals with AI-powered analysis. Get entry/exit zones, options flow, and cycle signals based on Benjamin Cowen methodology. Z...

18 runs
2 users
Try This Actor

Opens on Apify.com

About Crypto AI Market Analyzer

Daily BTC & ETH trading signals with AI-powered analysis. Get entry/exit zones, options flow, and cycle signals based on Benjamin Cowen methodology. Zero setup - no API keys required. Bot-ready JSON + PDF reports. $0.14-0.35.

What does this actor do?

Crypto AI Market Analyzer is a web scraping and automation tool available on the Apify platform. It's designed to help you extract data and automate tasks efficiently in the cloud.

Key Features

  • Cloud-based execution - no local setup required
  • Scalable infrastructure for large-scale operations
  • API access for integration with your applications
  • Built-in proxy rotation and anti-blocking measures
  • Scheduled runs and webhooks for automation

How to Use

  1. Click "Try This Actor" to open it on Apify
  2. Create a free Apify account if you don't have one
  3. Configure the input parameters as needed
  4. Run the actor and download your results

Documentation

Bitcoin & Ethereum Trading Signals - Daily AI Analysis Get BTC and ETH trading signals with exact buy/sell zones. Zero setup - no API keys required. Institutional-grade analysis combining macro indicators, technical analysis, and options flow. Delivered as bot-ready JSON for automated trading strategies. Fresh signals generated daily at 07:00 UTC. ## Quick Start - Get Trading Signals Now 1. Run the Actor (leave input empty or use {}) 2. Retrieve both BTC + ETH signals - bundled in one dataset 3. Get actionable data - entry zones, exit levels, risk assessment That's it. No configuration, no API keys, no setup. Just instant access to today's crypto market analysis. ## What You Get - Complete Signal Package | Output | Format | Contents | |--------|--------|----------| | Trading Signals | JSON Dataset | 200+ fields per asset: entry/exit zones, stop-loss levels, scenario probabilities | | Quick Summary | summary.json | Key metrics: bias, cycle phase, risk level, put/call ratio, fear & greed | | Analysis Report | report.md | Human-readable markdown with BTC + ETH analysis | | PDF Report | report.pdf | Professional report for both assets | ### Bot-Ready Action Plan Each signal includes structured action_plan for automated trading: - aggressive_buy_zone - Optimal entry levels for accumulation - moderate_buy_zone - Conservative entry points - take_profit_zone - Exit targets - stop_loss_consideration - Risk management levels Perfect for crypto trading bots and algorithmic strategies. ## Bitcoin & Ethereum Analysis - What Makes This Different ### Zero Configuration Unlike premium crypto signal providers, you don't need: - ❌ LLM API keys (Anthropic, OpenAI, etc.) - ❌ Data provider subscriptions - ❌ Complex bot setup We run Claude Opus 4.5 analysis daily and cache results for instant retrieval. ### Daily Signals with Continuity Each trading signal references the previous day's analysis: - "I'd keep the same plan as yesterday..." - "We got the dip to $X I mentioned..." - "Conditions have materially changed because..." This prevents flip-flopping and provides consistency - like having a real daily crypto advisor. ### Multi-Timeframe Bitcoin Analysis Based on Benjamin Cowen's @intocryptoverse methodology: | Timeframe | Indicators | What It Tells You | |-----------|------------|-------------------| | Macro (months) | 10Y yields, M2 supply, DXY, Gold | Risk-on/risk-off regime for crypto | | Meso (weeks) | 50W MA, Bull Market Support Band, RSI | Cycle position and trend | | Micro (days) | 24h/7d momentum, Fear & Greed Index | Short-term sentiment | | Options Flow | Put/Call ratio, Max Pain, Open Interest | Institutional positioning | | Derivatives | Funding rates, futures basis | Leverage and speculation levels | ### AI-Powered Synthesis Claude Opus 4.5 synthesizes all data layers into: - Executive summary - 1-2 sentence bias with probability - Scenario analysis - Bull/base/bear cases with % likelihood - Options intelligence - Smart money interpretation - Timing guidance - Immediate/short/medium-term outlook - Risk warnings - Key threats to monitor Not just data dumps - actionable crypto trading advice. ## Pricing for BTC + ETH Signals $0.35 per retrieval = Both Bitcoin and Ethereum bundled | Apify Plan | Per Retrieval | Monthly Cost (1x daily) | |------------|---------------|-------------------------| | FREE | $0.35 | $10.50/mo | | BRONZE | $0.28 (20% off) | $8.40/mo | | SILVER | $0.21 (40% off) | $6.30/mo | | GOLD | $0.14 (60% off) | $4.20/mo | Compare to alternatives: - Glassnode Pro: $29/mo (single asset) - CryptoQuant Pro: $29/mo (single asset) - Premium Telegram groups: $50-150/mo - Manual analysis time: Priceless You get: Both BTC and ETH for one price. Claude Opus 4.5 quality. We pay the LLM costs. ## How to Use Bitcoin Trading Signals ### For Manual Trading 1. Run Actor with empty input {} 2. Check summary.json for quick bias and key levels 3. Read report.md or report.pdf for full analysis 4. Execute trades based on action_plan zones ### For Crypto Trading Bots REST API Access: javascript // Fetch latest signals const response = await fetch('https://api.apify.com/v2/acts/YOUR_USERNAME/crypto-ai-market-analyzer/runs/last/dataset/items'); const signals = await response.json(); // Extract BTC signal const btcSignal = signals.find(s => s.asset === 'BTC'); const buyZone = btcSignal.advice.action_plan.aggressive_buy_zone; const sellZone = btcSignal.advice.action_plan.take_profit_zone; // Execute bot logic if (currentPrice <= buyZone[0]) { executeBuy(); } MCP Integration for AI Agents: json { "mcpServers": { "apify": { "command": "npx", "args": ["-y", "@apify/actors-mcp-server"] } } } Your AI agent can autonomously retrieve Bitcoin and Ethereum signals and execute trades. ### For Portfolio Dashboards Import summary.json into your crypto dashboard: json { "BTC": { "bias": "bullish", "cycle_phase": "Early Bull", "risk_level": "MEDIUM", "price": 95420, "key_levels": {...}, "put_call_ratio": 0.62, "fear_greed": 73 }, "ETH": {...} } ## Bitcoin Signal Schedule Fresh crypto trading signals generated once daily at 07:00 UTC: | Time (UTC) | Why This Timing | |------------|-----------------| | 07:00 | After daily candle close (00:00 UTC) + Asia session + funding rate settlement | Why daily, not hourly? Benjamin Cowen's methodology focuses on cycle analysis, not intraday trading. Key indicators (50-week moving average, Bull Market Support Band, risk metrics) update on daily/weekly timeframes. Macro data updates daily at most. More frequent signals would add noise without improving accuracy. ## Output Fields - Complete Bitcoin & Ethereum Data ### Dataset Structure (200+ fields per asset) json { "timestamp": "2025-12-19T07:00:00Z", "asset": "BTC", "price": 95420, "overall_bias": "bullish", "cycle_phase": "Early Bull", "risk_level": "MEDIUM", "macro": { "yield_10y": 4.25, "m2_yoy_change": 2.1, "dxy": 103.5, "gold_price": 2650, "spy_price": 485, "vix": 14.2 }, "meso": { "price": 95420, "ma_50w": 68500, "ma_200w": 42300, "bmsb_20w_ema": 72400, "bmsb_21w_sma": 69800, "rsi_14": 68.5, "trend": "uptrend" }, "institutional": { "put_call_ratio": 0.62, "total_options_oi": 15600000000, "max_pain": 94000, "options_sentiment": "BULLISH", "futures_oi": 22500000000, "funding_rate_48h_avg": 0.015 }, "advice": { "executive_summary": "Bullish setup (70% probability)...", "daily_advisor": "Looking at BTC through the Cowen Framework...", "action_plan": { "aggressive_buy_zone": [92000, 89000], "moderate_buy_zone": [95000, 93000], "take_profit_zone": [105000, 110000], "stop_loss_consideration": "Daily close below $88,000" }, "scenario_analysis": { "bull_case": { "probability": 70, "target": 110000 }, "base_case": { "probability": 20, "target": 98000 }, "bear_case": { "probability": 10, "target": 85000 } } } } ## Data Sources for Crypto Analysis | Layer | Data Provider | Indicators | |-------|---------------|------------| | Macro | FRED API, Yahoo Finance | 10-year yields, M2 money supply, Dollar Index, Gold, SPY, VIX | | Price & Technicals | CoinGecko | 365-day price history, moving averages, Bull Market Support Band | | Derivatives | OKX | Funding rates, Open Interest, futures basis | | Options | Deribit | Put/Call ratio, Max Pain, options volume | | Sentiment | Alternative.me, CoinDesk | Fear & Greed Index, crypto news with sentiment | All data collected fresh at 07:00 UTC daily. ## Bitcoin Trading Signal Examples ### Bullish Signal Example Asset: BTC Price: $95,420 Bias: BULLISH (70% probability) Cycle Phase: Early Bull Risk Level: MEDIUM Action Plan: - Buy aggressively: $92,000 - $89,000 - Buy moderately: $95,000 - $93,000 - Take profit: $105,000 - $110,000 - Stop loss: Daily close below $88,000 Options Flow: Bullish (P/C 0.62, Max Pain $94K) Sentiment: Fear & Greed 73 (Greed) ### Bearish Signal Example Asset: ETH Price: $3,420 Bias: BEARISH (65% probability) Cycle Phase: Distribution Risk Level: HIGH Action Plan: - Reduce exposure above: $3,500 - Take profit: $3,600 - $3,800 - Re-enter on dip: $3,200 - $3,000 - Stop loss: Daily close above $3,850 Options Flow: Neutral (P/C 1.02) Sentiment: Fear & Greed 73 (Extreme Greed - contrarian bearish) ## AI Agents & Automated Crypto Trading ### Integration with Trading Bots Supported platforms: - Custom Python/Node.js bots - 3Commas (via webhook) - TradingView alerts (import signals) - AI agents (via MCP) Sample bot logic: python import requests def get_btc_signal(): url = "https://api.apify.com/v2/acts/USERNAME/crypto-ai-market-analyzer/runs/last/dataset/items" response = requests.get(url) signals = response.json() btc = next(s for s in signals if s['asset'] == 'BTC') return { 'bias': btc['overall_bias'], 'buy_zones': btc['advice']['action_plan']['aggressive_buy_zone'], 'sell_zones': btc['advice']['action_plan']['take_profit_zone'], 'stop_loss': btc['advice']['action_plan']['stop_loss_consideration'] } signal = get_btc_signal() if signal['bias'] == 'bullish': # Execute buy logic ... ### MCP Server for AI Agents AI agents using Model Context Protocol can autonomously retrieve and act on crypto signals: bash # Install Apify MCP Server npx -y @apify/actors-mcp-server Your AI agent can then: 1. Check Bitcoin and Ethereum signals daily 2. Interpret market conditions 3. Execute trades based on action_plan 4. Monitor risk levels and adjust positions ## Why Daily Crypto Signals Work Benjamin Cowen's cycle-focused approach isn't about catching every 5-minute move. It's about: - Identifying major cycle phases (accumulation, bull, distribution, bear) - Aligning with macro regime changes (rate cuts, liquidity expansion) - Using derivatives data to gauge institutional positioning - Avoiding FOMO and panic with probability-based scenarios Key indicators update daily or weekly: - 50-week moving average (weekly) - Bull Market Support Band (weekly) - Risk metrics (daily) - Macro data (daily at best, often weekly/monthly) More frequent signals would just add noise. One quality daily analysis beats 24 noisy hourly signals. ## Sample Bitcoin Analysis Output Here's what a real signal looks like: ### Executive Summary > BTC showing bullish setup (70% probability). Price at $95,420 above Bull Market Support Band ($72,400). RSI 68.5 suggests strength without overextension. Options flow bullish (P/C 0.62). Accumulate dips toward $92K-89K range. Take profits $105K-110K. ### Scenario Analysis - Bull Case (70%): Break above $98K confirms next leg to $110K. Options max pain at $94K providing support. - Base Case (20%): Consolidation $92K-98K for 2-4 weeks before continuation. - Bear Case (10%): Break below $88K invalidates setup. Reassess at $85K. ### Options Intelligence Put/Call ratio 0.62 indicates bullish positioning. Max Pain at $94K suggests pin risk near current levels, but call wall at $100K shows strong upside interest. Options sentiment: BULLISH. ### Action Plan (Bot-Ready) json { "aggressive_buy_zone": [92000, 89000], "moderate_buy_zone": [95000, 93000], "take_profit_zone": [105000, 110000], "stop_loss_consideration": "Daily close below $88,000", "position_sizing": "Moderate (3-7% of portfolio)", "timeframe": "Weeks to Months" } ## Pricing - Affordable Bitcoin Signal Service $0.35 per retrieval gets you both BTC and ETH signals (bundled) | Your Apify Plan | Cost Per Signal | Monthly (1x daily) | vs Premium Services | |-----------------|-----------------|--------------------|--------------------| | FREE | $0.35 | $10.50/mo | 64% cheaper than Glassnode | | BRONZE | $0.28 | $8.40/mo | 71% cheaper | | SILVER | $0.21 | $6.30/mo | 78% cheaper | | GOLD | $0.14 | $4.20/mo | 86% cheaper | Compare: - Glassnode Pro: $29/mo (BTC only) - CryptoQuant Pro: $29/mo (BTC only) - Premium Telegram signals: $50-150/mo - Manual analysis time: Hours per day You save: Time + money. Get institutional-grade Bitcoin analysis for the price of a coffee. ## When Fresh Crypto Signals Are Generated | Time (UTC) | Event | Why This Matters | |------------|-------|------------------| | 00:00 | Daily candle close | New daily bar formed | | 00:00 | Funding rate settlement | Perpetual futures funding collected | | 06:00 | Asia session complete | Asian market reaction captured | | 07:00 | Signal generation | All daily data available for analysis | Fresh Bitcoin and Ethereum signals ready every morning. ## How Bitcoin Analysis Works - The Framework ### 1. Macro Context (Risk Environment) Analyzes broader financial markets to determine crypto's macro regime: - Rates: Higher yields = headwind for Bitcoin - Liquidity: M2 expansion = tailwind for crypto - Dollar strength: Weak DXY = bullish for BTC - Gold: Strong gold = risk-off (bearish crypto) ### 2. Technical Structure (Cycle Position) Applies Benjamin Cowen's cycle framework: - Bull Market Support Band: Key support in bull markets (20W EMA + 21W SMA) - 50-week MA: Primary trend indicator - 200-week MA: Long-term trend and bottom marker - RSI: Momentum and overbought/oversold ### 3. Derivatives Analysis (Leverage Positioning) Reads futures market to gauge speculation: - Funding rates: Positive = longs paying shorts (bullish bias) - Open Interest: Rising OI + rising price = healthy trend - Basis: Futures premium indicating spot demand ### 4. Options Flow (Institutional Sentiment) Interprets smart money positioning: - Put/Call ratio: <0.7 = bullish, >1.3 = bearish - Max Pain: Price where most options expire worthless - Open Interest: Where big bets are placed ### 5. AI Synthesis Claude Opus 4.5 combines all layers into coherent Bitcoin trading advice with: - Probability-weighted scenarios - Specific entry/exit levels - Risk management guidance - Context from yesterday's analysis ## For Developers - API Integration ### Get Latest Bitcoin Signals bash # Fetch latest BTC + ETH signals curl "https://api.apify.com/v2/acts/USERNAME/crypto-ai-market-analyzer/runs/last/dataset/items?token=YOUR_TOKEN" ### Get Quick Summary bash # Fetch summary.json (lightweight) curl "https://api.apify.com/v2/key-value-stores/STORE_ID/records/summary.json" ### Run Actor Programmatically python from apify_client import ApifyClient client = ApifyClient('YOUR_TOKEN') run = client.actor('USERNAME/crypto-ai-market-analyzer').call() # Get BTC and ETH signals signals = client.dataset(run['defaultDatasetId']).list_items().items btc_signal = next(s for s in signals if s['asset'] == 'BTC') eth_signal = next(s for s in signals if s['asset'] == 'ETH') ## Free Bitcoin Signals vs Paid Services | Feature | This Actor | Premium Services | Telegram Groups | |---------|------------|------------------|-----------------| | BTC Signals | ✅ Daily | ✅ Varies | ✅ Multiple/day | | ETH Signals | ✅ Included | ❌ Extra cost | ⚠️ Sometimes | | API Keys Needed | ❌ None | ✅ Required | ❌ None | | Bot Integration | ✅ JSON/API | ⚠️ Varies | ❌ Manual only | | Analysis Method | ✅ AI + Framework | ⚠️ Varies | ⚠️ Unknown | | Continuity | ✅ References previous | ❌ One-shot | ❌ Inconsistent | | Monthly Cost | $4-11 | $29+ | $0-150 | ## Bitcoin Analysis Methodology Based on Benjamin Cowen's proven framework: 1. Logarithmic regression - Long-term trend bands 2. Risk metric - Overheated vs opportunity zones 3. Bull Market Support Band - Key support in uptrends 4. 50W/200W moving averages - Trend confirmation 5. Macro correlation - Liquidity and rates impact 6. Altcoin ratio analysis - BTC vs ETH strength Combined with: - Options flow - Institutional positioning - Funding rates - Retail speculation gauge - Sentiment - Contrarian signals (Fear & Greed) - News analysis - Event-driven moves ## Input Options | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | include_full_report | boolean | true | Include complete 200+ field analysis. Set false for summary only (17 fields). | Default input (recommended): json {} This retrieves both Bitcoin and Ethereum signals with full analysis. Lightweight mode: json { "include_full_report": false } Returns summary only - faster, less data transfer. ## FAQ - Bitcoin Trading Signals Q: How accurate are the Bitcoin signals? A: This isn't a prediction service - it's a framework-based analysis tool. Benjamin Cowen's methodology focuses on probabilities and cycle positioning, not price targets. Signals include bull/base/bear scenarios with likelihood percentages. Q: Can I use this for automated Bitcoin trading? A: Yes. The action_plan object provides structured entry/exit zones perfect for bot consumption. Many users integrate via REST API or MCP Server. Q: Do I need API keys to get crypto signals? A: No. We run the analysis with our API keys and cache results. You just retrieve them for $0.14-0.35 per day. Q: How often are Bitcoin signals updated? A: Once daily at 07:00 UTC. Cowen's methodology is cycle-focused - daily updates capture all relevant data changes without adding noise. Q: Do you provide Ethereum signals too? A: Yes! Both BTC and ETH signals are bundled in every retrieval for one price. Q: Can AI agents use these signals? A: Absolutely. Integrate via Apify MCP Server or REST API. Your AI agent can autonomously check signals and execute trades. Q: What if I want to backtest the Bitcoin analysis? A: Historical signals are stored in the dataset. Each run pushes BTC + ETH analysis, so you can retrieve past signals for backtesting. ## Technical Details Data freshness: Generated daily at 07:00 UTC Cache duration: 24 hours (new signals daily) Assets covered: Bitcoin (BTC), Ethereum (ETH) Output formats: JSON, Markdown, PDF API access: REST API, Apify SDK, MCP Server Memory required: 512 MB (retrieval), 2048 MB (generation) Typical runtime: <10 seconds (retrieval), 5-10 min (generation) --- Disclaimer: Not financial advice. Cryptocurrency trading involves substantial risk. Past performance doesn't guarantee future results. Do your own research (DYOR) before making trading decisions. Methodology credit: Based on Benjamin Cowen's @intocryptoverse cycle analysis framework.

Common Use Cases

Market Research

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Content Aggregation

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Actor Information

Developer
yoloshii
Pricing
Paid
Total Runs
18
Active Users
2
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