My morning BTC checklist uses three agents — here's what it actually said the day BTC bottomed

I am not a quant. I am a solo developer who holds BTC and doesn't trust Twitter, TradingView gurus, or a single indicator to make a 4-figure trade decision. So I built a morning checklist: three specialized agents (technical, on-chain, macro) run in parallel, score the market, and a signal generator combines them into one action line. It runs at 6:30 AM IST before I touch my phone. Below is what it looks like end-to-end — and what it would have told me on the day BTC actually bottomed. GitHub: https://github.com/AmSach/btc-research The morning ritual (the actual workflow) cd ~/projects/btc-research python3 scripts/run_analysis.py That's it. One command. Three agents fire in parallel: [1/4] Running Technical Analysis Agent... Signal: NEUTRAL | Score: 0.44 | Conf: 0.65 [2/4] Running On-Chain Analyst Agent... Signal: BULLISH | Score: 0.80 | Conf: 0.71 [3/4] Running Macro Strategist Agent... Signal: BULLISH | Score: 0.75 | Conf: 0.69 [4/4] Generating Combined Signal... Eight seconds later, I get a single decision in my terminal — and an email copy in my inbox before the kettle finishes boiling: ============================================================ FINAL SIGNAL ============================================================ Signal Type: BUY Total Score: 0.662 Confidence: 0.684 Action: Take partial position (25-50% of capital) Price: $76,099 Agent Scores: Technical 0.440 (weight: 0.35) On-Chain 0.800 (weight: 0.40) Macro 0.750 (weight: 0.25) Key Drivers: • On-Chain: bullish (0.8) • Macro: bullish (0.75) Risk Factors: (none flagged) Key Levels: support $68,900 resistance $75,000 ema_200 $82,919 ath $125,835 I make a coffee. I open my exchange. I act. No Twitter. No "BTC to the moon" Telegram groups. No waffling because the candle looked "weird." What problem this actually solves The problem is not "I don't have a strategy." Most retail traders have a strategy. The problem is decision fatigue under uncertainty : Technical says "neutral" On-chain says "smart money is accumulating" Macro says "DXY is weakening, risk-on" My gut says "I lost money last time I bought, maybe wait" The three-agent setup forces me to look at three independent angles and a single weighted verdict. On a typical day, the agents disagree, and the system spits out NEUTRAL — I do nothing. The most valuable output is the permission to not trade when the signals don't agree. What it would have said on 2026-01-09 Let's pretend I had this running on the day BTC bottomed after the ETF-flow scare: { "timestamp" : "2026-01-09T01:00:00" , "technical" : { "signal" : "OVERSOLD" , "score" : 0.72 , "confidence" : 0.78 }, "onchain" : { "signal" : "BULLISH" , "score" : 0.78 , "confidence" : 0.74 }, "macro" : { "signal" : "BULLISH" , "score" : 0.85 , "confidence" : 0.80 }, "signal_type" : "STRONG_BUY" , "total_score" : 0.79 , "confidence" : 0.77 , "action" : "Take full position (50-100% of capital)" , "key_drivers" : [ "Technical: oversold (0.72)" , "On-Chain: bullish (0.78)" , "Macro: bullish (0.85)" ] } Three independent agents all green. RSI oversold, exchange reserves at multi-year low, DXY rolling over. The signal generator says STRONG_BUY, take full position . That was the morning I would have actually added to my position instead of doom-scrolling. The same pipeline, run a week later with macro turning neutral, would have said NEUTRAL — and the right call was to stop adding. Why three agents, not one big model I deliberately did not use one LLM to "just look at the chart." Three reasons: Separation of forces. Technical analysis is pattern math, on-chain is network-state data, macro is correlation. A single LLM blends them by vibes. Three narrow scoring functions plus a weighted combiner is auditable. Confidence is calibrated per agent. Technical is honestly 65-75% confident because RSI is noisy. On-chain is 70-80% because exchange reserves are slow-moving. Macro is 60-70% because DXY can flip on a Fed tweet. The signal generator weights by both score and confidence, so