nansen-dca-tracker
Answers: "What tokens are whales dollar-cost averaging into on Solana?"
Works with
Installation Guide
How to use nansen-dca-tracker on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your machine
- ›Node.js 16+ with npm — verify with
node --version - ›Active project directory where you want to add
nansen-dca-tracker
Run the install command
Execute the skills CLI command in your project's root directory to begin installation:
Fetches nansen-dca-tracker from nansen-ai/nansen-cli and configures it for Cursor.
Select Cursor when prompted
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate nansen-dca-tracker. Access via /nansen-dca-tracker in your agent's command palette.
Security Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Documentation
DCA Watch
Answers: "What tokens are whales dollar-cost averaging into on Solana?"
nansen research smart-money dcas --limit 20
# → trader_address, trader_address_label, input/output_token_symbol, deposit_value_usd, dca_status, dca_created_at
# For each top DCA target, check token fundamentals
TARGET=<output_token_address>
nansen research token info --token $TARGET --chain solana
# → name, symbol, price, market_cap, token_details
nansen research token flow-intelligence --token $TARGET --chain solana
# → net_flow_usd per label: smart_trader, whale, exchange, fresh_wallets
To see DCA strategies targeting a specific token: nansen research token jup-dca --token $TARGET
DCAs show long-term conviction — SM DCA targets with positive smart_trader_net_flow = high-confidence accumulation.
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