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

Downloading Report Files

To download the generated files (PDF, Markdown, Summary JSON):

1. After the run completes, go to the Storage tab
2. Click on Key-value store
3. Download files directly: report.pdf, report.md, summary.json

When include_full_report is true (default), all files are generated. When false, only summary.json is available.

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

Multi-timeframe cycle analysis 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.

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:

// 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:

{
  "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:

{
  "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? Cycle-focused methodology emphasizes macro trends, 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)

{
  "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 the BTC setup today...",
    "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 }
    }
  }
}

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:

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:

# Install Apify MCP Server
npx -y @apify/actors-mcp-server

Targeted Tool Calls for Agents:

Each retrieve_target maps to a distinct MCP tool call, allowing agents to fetch only what they need:

Tool Call Input	Returns	Use Case
{"retrieve_target": "btc"}	Bitcoin analysis only	Check BTC signals
{"retrieve_target": "eth"}	Ethereum analysis only	Check ETH signals
{"retrieve_target": "report"}	Combined markdown report	Get human-readable analysis
{"retrieve_target": "all"}	Everything	Full data dump

Example agent workflow:

# Agent checks BTC first
btc_result = await mcp.call_actor("crypto-ai-market-analyzer", {"retrieve_target": "btc"})

# If bullish, check ETH correlation
if btc_result["BTC"]["bias"] == "bullish":
    eth_result = await mcp.call_actor("crypto-ai-market-analyzer", {"retrieve_target": "eth"})

# Get full report for decision summary
report = await mcp.call_actor("crypto-ai-market-analyzer", {"retrieve_target": "report"})

Your AI agent can then:

1. Check Bitcoin and Ethereum signals separately
2. Interpret market conditions with targeted data
3. Execute trades based on action_plan
4. Monitor risk levels and adjust positions

Why Daily Crypto Signals Work

The 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)

{
  "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 cycle analysis 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

# 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

# Fetch summary.json (lightweight)
curl "https://api.apify.com/v2/key-value-stores/STORE_ID/records/summary.json"

Run Actor Programmatically

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 proven cycle analysis 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
retrieve_target	string	"all"	What to retrieve: "btc", "eth", "report", or "all"
include_full_report	boolean	true	Include complete 200+ field analysis + PDF/Markdown reports. Set false for summary only.

Default input (recommended):

{}

This retrieves both Bitcoin and Ethereum signals with full analysis.

Targeted retrieval (for MCP/agents):

{"retrieve_target": "btc"}      // Bitcoin only
{"retrieve_target": "eth"}      // Ethereum only
{"retrieve_target": "report"}   // Combined markdown report only
{"retrieve_target": "all"}      // Everything (default)

Lightweight mode:

{
  "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. The 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. The 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)

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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.