#What Enhancements Has Nansen Made to Its API?
Nansen has taken a significant step forward in its API capabilities, enhancing its utility for traders and developers utilizing its platform. A notable aspect of this update is the expanded historical backtesting endpoints and a revamped credit system that addresses previous user friction points.
The new backtesting functionality is particularly notable. Traders now have the ability to replay their strategies against Nansen's historical onchain data, which includes detailed metrics like Token God Mode and Smart Money signals for any past date. This capability comes without the issue of look-ahead bias, which can greatly distort the evaluation of trading strategies.
#Why Is Look-Ahead Bias a Concern for Traders?
The absence of look-ahead bias is crucial for effective backtesting. Nansen’s recent updates empower users to access the precise data available at any historical point. This means traders can test their strategies against genuine data reflective of conditions at that time, rather than the knowledge they possess today, providing a realistic and practical backdrop for algorithmic trading strategies.
#How Do the New Historical Endpoints Benefit Users?
The updated historical endpoints include essential data on top holders and DEX trades, which cost five credits per query. This pricing structure becomes critical when multiple queries are necessary to validate trading strategies across diverse timeframes and fluctuating market conditions. An introduction of 2,000 starter credits per month under Nansen’s Pro API plan, priced between $49 and $69, must be carefully managed, especially for traders performing in-depth backtests.
#What Problems Does the New Credit System Solve?
Previously, traders faced substantial issues when their credits ran low. Replenishing credits required manual recharges that could take 1-2 days, severely disrupting research or automated processes. The introduction of an auto top-up feature allows users to set a threshold that, once breached, automatically replenishes credits. This eliminates delays caused by manual intervention.
Instant purchases for credits are also now available in stablecoins and selected native tokens across popular blockchains like Solana, Ethereum, and Polygon. This advancement makes access to credits faster and more efficient.
#What Are the Implications of Backtesting Against Smart Money Signals?
Backtesting against Smart Money signals showcases its own significance. Nansen's Smart Money label tracks wallets with a history of profitable trading. The ability to evaluate these signals through past market events allows traders to rigorously stress-test their strategies based on these valuable data points.
However, with the new price structure of five credits per query, a user on the Pro plan can conduct about 400 historical queries monthly before the need to replenish credits arises. While this may suffice for casual inquiries, more rigorous analysis across various tokens could render the auto top-up feature essential for active users.
While initial reactions to these enhancements have been muted, this is not unexpected. The lack of immediate major media coverage or expert commentary following the announcement indicates that these developments are primarily focused on enhancing the user experience rather than signaling immediate partnerships or upcoming releases.