Help investors replicate trading strategies with accurate market data
Support copy trading platforms with real-time market prices, historical market data, and performance analytics that help users follow experienced traders with confidence.
Copy trading allows investors to replicate the trades of experienced traders automatically.
Instead of making every investment decision themselves, users choose traders to follow and mirror their positions based on predefined allocation rules. For copy trading to work effectively, both strategy performance and market information must be accurate, transparent, and continuously updated.
Users don't just want to know who made the highest returns, they want to understand how those returns were achieved.
They compare strategies across different market conditions, monitor open positions, and expect copied portfolios to reflect current market values. As more traders, assets, and followers join the platform, maintaining consistent performance metrics becomes increasingly challenging.
Use real-time market data to continuously update portfolio values as market prices change.
Use historical prices, trades, and OHLCV data to build performance charts that show how strategies behaved during different market conditions, not just their final returns.
Use one normalized market data model so every trader's performance is measured using the same prices, regardless of where assets are traded.
Combine historical market activity with portfolio performance to help users understand how strategies performed during rallies, corrections, and volatile periods.
Support additional cryptocurrencies and exchanges through one standardized market data platform instead of integrating separate pricing sources as new assets become available.
| What You Need | Before CoinAPI | After CoinAPI |
|---|---|---|
| Display copied portfolio values | Different assets are priced from different market sources | Calculate every copied portfolio using one normalized market data model |
| Compare trading strategies | Judge traders by returns alone | Evaluate strategies with historical market context and performance history |
| Rank traders fairly | Rankings vary because assets use different pricing methodologies | Measure every trader using one consistent market pricing model |
| Help investors choose who to follow | Limited visibility into how strategies performed in different markets | Show performance across bull markets, corrections, and volatile periods using historical market data |
| Expand supported assets | Add pricing infrastructure for every new cryptocurrency | Support new assets through one standardized market data platform |
| Keep followers aligned with lead traders | Portfolio values drift as different systems use different market prices | Value every copied portfolio from the same real-time market data source |
