AI app for finance · no coding needed
Evidence-backed crypto research and trading workspace
Reduce tool sprawl and keep every trading or publishing claim tied to its evidence.
Made for: Independent crypto traders, analysts and small research teams who publish or act on market views
What it does for you
The problem
Crypto research, on-chain checks, sentiment reading, strategy testing and content drafting sit in separate subscriptions, so evidence, decisions and published claims drift apart.
What it gives you
Reviewed analysis, tested strategy signals and source-linked drafts
What you give it
Permitted on-chain datasocial sentimentwallet holdingsuser questions
Build your own version of Surf, Next Alpha and more
One app with what these 4 AI tools do, yours to keep and change: Surf, Next Alpha, HeyTraders, Nansen AI.
Everything these tools do, in one app
- AI research agent Answers user questions and runs prompts against live data to provide analysis.Found in Nansen AI, HeyTraders, Surf
- On-chain data access Provides transaction-level blockchain data across multiple networks.Found in Nansen AI, Surf
- Real-time social sentiment Analyzes social media sentiment in real time to gauge market mood.Found in Surf
- AI-generated reports Creates plain-English summaries that explain complex crypto topics with sources.Found in Surf
- Natural language trading Lets users execute trades and manage assets using simple commands.Found in Surf
- Portfolio tracking Aggregates multiple wallets or assets into a single view.Found in Surf, Nansen AI
- Smart alerts Monitors activity and thresholds, notifying users of important changes.Found in Nansen AI
- Mobile dashboards Displays clear charts and summaries on mobile devices for on-the-go monitoring.Found in Nansen AI
- Labeled address dataset Uses a large set of labeled addresses to identify on-chain behavior and signals.Found in Nansen AI
- Natural language strategy translation Converts plain-English trading rules into deterministic strategy code and signals.Found in HeyTraders
- Instant backtesting Tests trading strategies quickly and provides full trade histories for verification.Found in HeyTraders
- Configurable execution assumptions Allows adjustment of fee and slippage settings for more realistic backtests.Found in HeyTraders
- Conversational market research Provides summaries of short-term market drivers through a chat interface.Found in HeyTraders
- Privacy-minded storage Encrypts strategy chats and logic, and does not use them for training unless opted in.Found in HeyTraders
- AI content generation Generates articles, blogs, and marketing copy using AI.Found in Next Alpha
- Tone and style customization Adjusts the tone and style of generated content to match brand voices.Found in Next Alpha
- Grammar and spell checking Checks grammar and spelling in real time during writing.Found in Next Alpha
- Template library Provides templates for common content formats.Found in Next Alpha
- Collaboration tools Enables multiple users to work on content simultaneously.Found in Next Alpha
How it works, step by step
- Answer user questions against live on-chain and market data
- Pull transaction-level data across supported networks
- Score real-time social sentiment for tracked assets
- Generate plain-English reports with source links
- Execute trades and manage assets from plain-language commands
- Aggregate multiple wallets into one portfolio view
- Trigger threshold and activity alerts
- Show mobile charts and summaries
- Resolve addresses against a labeled dataset
- Translate plain-English rules into deterministic strategy code
- Run instant backtests with full trade histories
- Adjust fee and slippage assumptions
- Summarize short-term market drivers in chat
- Encrypt strategy chats and logic with opt-in training only
- Draft articles, blogs and marketing copy
- Match tone and style to a brand voice
- Check grammar and spelling in real time
- Offer templates for common content formats
- Support multi-user collaboration on drafts
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewed analysis, tested strategy signals and source-linked drafts with source references and unresolved questions
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Evidence-backed crypto research and trading workspace with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Evidence-backed crypto research and trading workspace with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links4 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare26 KB
- prompt-vps.mdThe same build on your own server (Docker)26 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria12 KB
- demo/index.htmlThe working demo on sample data198 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Reduce tool sprawl and keep every trading or publishing claim tied to its evidence. For independent crypto traders, analysts and small research teams who publish or act on market views, convert permitted on-chain data, social sentiment, wallet holdings and user questions into reviewed analysis, tested strategy signals and source-linked drafts. The benefit is a testable hypothesis, measured through accepted research notes per analyst hour and corrections after publication or execution; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect permitted on-chain data, social sentiment, wallet holdings and user questions, then follow this sequence: 1. Answer user questions against live on-chain and market data. 2. Pull transaction-level data across supported networks. 3. Score real-time social sentiment for tracked assets. 4. Generate plain-English reports with source links. 5. Execute trades and manage assets from plain-language commands. 6. Aggregate multiple wallets into one portfolio view. 7. Trigger threshold and activity alerts. 8. Show mobile charts and summaries. 9. Resolve addresses against a labeled dataset. 10. Translate plain-English rules into deterministic strategy code. 11. Run instant backtests with full trade histories. 12. Adjust fee and slippage assumptions. 13. Summarize short-term market drivers in chat. 14. Encrypt strategy chats and logic with opt-in training only. 15. Draft articles, blogs and marketing copy. 16. Match tone and style to a brand voice. 17. Check grammar and spelling in real time. 18. Offer templates for common content formats. 19. Support multi-user collaboration on drafts. Resolve uncertain cases with qualified reviewers, approve reviewed analysis, tested strategy signals and source-linked drafts, and measure accepted research notes per analyst hour and corrections after publication or execution against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints, backtest math and reproducible tests. Review source-linked explanations and uncertainty before accepting results. Supported networks and data providers are fixed for the pilot; final trading decisions and publication remain human. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve source attribution, data permissions and trading risk disclosures. Named humans approve substantive claims, trades and publication scope. One supported network set and one data provider; final trading decisions and publication remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One supported network set and one data provider; final trading decisions and publication remain human. Implement one approved input format, a bounded representative case set and the first two task modules: answer user questions against live on-chain and market data; pull transaction-level data across supported networks. Support the remaining modules with operator review. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
Authorized on-chain data providers, social sentiment sources, wallet addresses and user documents. Cloud storage, exchange or brokerage connections for execution, and publishing destinations. Start with file exchange and validate destination specifications before promising direct execution or publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Research question and sources, Editable analysis and strategy preview, Review and publication or execution. Use a watchlist gallery for assets and wallets, a large central analysis canvas, and a right-hand panel for sources, alerts and comments. Let users compare strategy versions and backtest runs side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant claim or signal. Make the task-specific outcome reviewed analysis, tested strategy signals and source-linked drafts visible beside its evidence, review state and value baseline.
