Turning crypto market noise into personalised investment signals.

A data-driven crypto intelligence platform that delivers real-time recommendations and personalised dashboards for retail investors.

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Client: Token Metrics
Industry: Crypto / FinTech / Investment Intelligence
Delivery: Web platform and data APIs
Capability: Data & Analytics

Results at a glance

6–8 moto a production-grade platform

The challenge

What Token Metrics was up against.

Retail crypto investors are surrounded by charts, prices, news and on-chain metrics, but little of it becomes clear, personalised guidance.

Fragmented on-chain and off-chain data
No clear signal on whether the market is bullish or bearish
Limited personalisation for individual portfolios

The solution

What we built.

Skugal built an integrated crypto intelligence platform around a custom AI and machine-learning signal engine that evaluates market conditions, token performance and historical trends.

Personalised dashboards

Real-time bullish and bearish indicators, token-level signals and visual cues instead of raw charts, for beginners and advanced users alike.

AI recommendation engine

Custom Token Metrics Indicator (TMI) scoring over live and historical data, producing market- and token-level classifications and buy/sell signals.

Portfolio tracking

Users add portfolios and see asset-level movement and portfolio-level performance trends.

Real-time data infrastructure

Multi-source aggregation, Snowflake warehousing, modular ETL and real-time APIs built for volatility.

How it works

From input to outcome.

Live & historical crypto data
Aggregation & ETL (Snowflake)
AI/ML signal engine (TMI)
Bullish/bearish & buy/sell signals
Dashboards & portfolio insights

Business impact

What changed.

Over a 6–8 month cycle, Token Metrics launched a production-grade platform that helps users understand market conditions, evaluate tokens and manage portfolios, on a data foundation built for long-term scale.

Technology