Algo Trade Analytics

Algo Trade Analytics offers a research‑only platform that lets users explore and backtest TradingView strategies using an AI‑driven agent. Users can compare live alerts with broker fills, gain insights into algorithmic trading performance, and iterate on strategies without executing trades or guaranteeing returns. The service provides tiered pricing plans for individuals and teams, along with support resources and documentation.

Algo Trade Analytics is profiled on the APIs.io network. Tagged areas include Finance, Trading, Artificial Intelligence, Analytics, and Backtesting.

Algo Trade Analytics’ developer surface includes getting-started guide, documentation, support, pricing, signup flow, and 9 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

13.2/100 emerging ▼ -9.4 Agent 0/100 human only Heartbeat 100/100 alive Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessOpen

0 APIs

Finance Trading Artificial Intelligence Analytics Backtesting

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 13.2/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 2.2 / 17

Access Clarity 3.8 / 17

Operational Transparency 1.5 / 11

Contract Governance 0.0 / 10

Discoverability 4.2 / 9

Regulatory Posture 2.6 / 15

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Securities & Market Data regime (on an ambiguous tag, where no other regime matched), so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey)
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes

13 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points
Developer Ergonomics scores 13.1 — up to +17.4 composite points
Access Clarity scores 22.4 — up to +15.5 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/algo-trade-analytics-com/apis.yml: open an issue on github.com/api-evangelist/algo-trade-analytics-com to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Algo Trade Analytics Com Authentication

0 schemes

SECURITY

Algo Trade Analytics Com Domain Security

TLSv1.3 · DMARC

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

Algo Trade Analytics Com Scopes

OAuth 2.0 · no documented scopes

0 scopes

SCOPES

Resources

Get Started 3

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

SignUp

SignUp

Login

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Access & Security 2

Authentication, authorization, and security posture

Security

Security

DomainSecurity

DomainSecurity

Operate 2

Status, limits, changes, and where to get help

StatusPage

StatusPage

Support

Support

Commercial 3

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Pricing

Pricing

Company 2

The organization behind the API

Newsroom

Newsroom

Website

Website

Other 1

Properties that don't map to a standard resource type

Hosts

Hosts

Source (apis.yml)

aid: algo-trade-analytics-com
name: Algo Trade Analytics
description: Algo Trade Analytics offers a research‑only platform that lets users explore and backtest TradingView strategies
  using an AI‑driven agent. Users can compare live alerts with broker fills, gain insights into algorithmic trading performance,
  and iterate on strategies without executing trades or guaranteeing returns. The service provides tiered pricing plans for
  individuals and teams, along with support resources and documentation.
url: https://artifacts.apis.io/algo-trade-analytics-com/apis.yml
accessModel:
  pricing: unknown
  onboarding: open
  trial: false
  try_now: false
  public: true
  label: Open access
  confidence: low
  probe_state: none
  source:
  - authentication
  - security
  generated: '2026-11-06'
  method: derived
image: https://algo-trade-analytics.com/favicon-48x48.png
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-01 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-11-01'
modified: '2026-11-01'
tags:
- Finance
- Trading
- Artificial Intelligence
- Analytics
- Backtesting
tags_raw:
- Finance
- Trading
- AI
- Analytics
- Backtesting
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Hosts
  url: hosts/algo-trade-analytics-com-hosts.yml
- type: StatusPage
  url: https://algo-trade-analytics.com/status
- type: Security
  url: https://algo-trade-analytics.com/security
- type: Newsroom
  url: https://algo-trade-analytics.com/news
- type: GettingStarted
  url: https://docs.algo-trade-analytics.com/getting-started/quick-start
- type: Documentation
  url: https://docs.algo-trade-analytics.com/
- type: DomainSecurity
  url: security/algo-trade-analytics-com-domain-security.yml
- type: Website
  url: https://algo-trade-analytics.com/
- type: Support
  url: https://algo-trade-analytics.com/support
- type: TermsOfService
  url: https://algo-trade-analytics.com/terms
- type: PrivacyPolicy
  url: https://algo-trade-analytics.com/privacy
- type: Pricing
  url: https://algo-trade-analytics.com/pricing
- type: SignUp
  url: https://algo-trade-analytics.com/signup
- type: Login
  url: https://algo-trade-analytics.com/login
apis: []
x-coverage:
  state: none
  reason: no-developer-program
  detail: No public API specification found; OpenAPI endpoints on known hosts return 404.
  evidence:
  - url: https://algo-trade-analytics.com/openapi.json
    status: 404
  checked: '2026-11-01'
x-enrichment:
  date: '2026-11-01'
  status: enriched
  artifacts_added: 20
  pass: modular-v1
  engine: identity=oss,contract=oss,surfaces=oss,docs=oss,regulatory=oss

Algo Trade Analytics API — frequently asked questions

How do I authenticate with the Algo Trade Analytics API?

Algo Trade Analytics documents its authentication (0 schemes). The details are profiled on APIs.io as Algo Trade Analytics Com Authentication.

Is the Algo Trade Analytics API ready for AI agents?

Algo Trade Analytics has a Kin Score of 13.2 out of 100 (emerging) and an Agent Readiness score of 0.0 (human-only), scored by API Evangelist on 2026-11-06.

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