Let Nick get a second and third opinion on Bitcoin
Multi LLM Consensus pulls the latest BTC price data, sends it to several models you choose for an independent read, and blends their votes into one signal report you can run any time you want a gut check.
Multi LLM Consensus
Run this whenever you want a second, third, or fourth opinion on Bitcoin. Nick pulls 48 hours of BTC price data, including RSI and moving averages, then sends it to several models you choose for an independent read: bullish, bearish, or neutral, each with its own confidence score and a one-line reason. A consensus step tallies the votes, a signal only counts as the call when two or more models agree, and averages the confidence across the side with more votes. The blended verdict, the vote count, and every model's reasoning get written up into one short, readable report you can act on however you like.
How it works
Step 1
Pull the price data
Run it any time and Nick fetches 48 hours of BTC price history with RSI and moving averages, so every model starts from the same numbers.
Step 2
Get independent reads
Nick sends that data to several models you choose, each returning a signal (bullish, bearish, or neutral), a confidence score, and a one-line reason.
Step 3
Tally the votes
A consensus step counts the signals: two or more matching votes decide the call, and the confidence scores get averaged.
Step 4
Read the report
Nick writes a short, plain-English summary: the consensus call, how strong the agreement was, and what each model said.
The workflow
Every step in Multi LLM Consensus is a real NickAI node. Here is the compact view of how they connect.
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It sends the same BTC price data to several models you choose, then blends their bullish, bearish, or neutral calls into one signal with an agreement score, so you are not relying on a single model's read.
No. This template starts manually, so you run it whenever you want a fresh read on Bitcoin rather than on a fixed clock.
No. Multi LLM Consensus is a read-only research report. It never touches your portfolio or executes an order, you decide what to do with the signal.
If no two models land on the same call, the consensus defaults to neutral. You still get the full report showing exactly where the models split.
Yes. The models, the prompt, and the number of votes required for consensus all live in the workflow, so you can adjust the panel to fit how you want to weigh conviction.