I built a multi-agent AI platform for spot crypto signals — Here is what it looks like
Hey everyone!
Over the past few weeks, I’ve been working on a personal project: a multi-agent crypto platform designed to filter out the market noise and generate clean, actionable spot trading signals.
I wanted something that goes beyond basic indicators and actually combines multi-factor analysis (liquidity tracking, sector categorization, and trend strength vs. Bitcoin) into a simple, risk-adjusted mobile dashboard.
Here is a quick snapshot of the mobile UI I’ve been testing:
* Market Context: A top-level RISK-ON indicator to gauge overall market momentum.
* Scoring & Ranking: Automated scoring system (e.g., NEARUSDT, TIAUSDT) factoring in relative strength against BTC over 30 days (RS30) and moving average filters (above EMA50 and EMA200).
* Liquidity & Sector Tiers: Categorizing assets by liquidity tiers (Tier A, B, C) and market sectors (AI, L1-Alt, etc.) to track smart money flow.
I'm currently fine-tuning the agent logic in the backend to balance momentum indicators (like managing entries when RSI nears higher thresholds) and automate position risk sizing.
I’d love to hear your thoughts or feedback from fellow devs and traders. What metrics do you rely on the most for your spot filtering agents?
Hey everyone!
Over the past few weeks, I’ve been working on a personal project: a multi-agent crypto platform designed to filter out the market noise and generate clean, actionable spot trading signals.
I wanted something that goes beyond basic indicators and actually combines multi-factor analysis (liquidity tracking, sector categorization, and trend strength vs. Bitcoin) into a simple, risk-adjusted mobile dashboard.
Here is a quick snapshot of the mobile UI I’ve been testing:
* Market Context: A top-level RISK-ON indicator to gauge overall market momentum.
* Scoring & Ranking: Automated scoring system (e.g., NEARUSDT, TIAUSDT) factoring in relative strength against BTC over 30 days (RS30) and moving average filters (above EMA50 and EMA200).
* Liquidity & Sector Tiers: Categorizing assets by liquidity tiers (Tier A, B, C) and market sectors (AI, L1-Alt, etc.) to track smart money flow.
I'm currently fine-tuning the agent logic in the backend to balance momentum indicators (like managing entries when RSI nears higher thresholds) and automate position risk sizing.
I’d love to hear your thoughts or feedback from fellow devs and traders. What metrics do you rely on the most for your spot filtering agents?
