Stock Market Trading Game API integration services

Deliverables checklist

• API specification (OpenAPI / Swagger) for every endpoint in scope
• Protocol & auth-flow report (token issuance, refresh, request signing, pagination model)
• Runnable source for the login, progress, portfolio and market-data endpoints (Python & Node.js)
• Automated tests, sample payloads and a Postman / HTTP collection
• Compliance guidance (consent capture, data minimisation, retention, GDPR/CCPA notes)
• Optional: webhook/event bridge so progress and portfolio changes push to your stack

Engagement models

• Source-code delivery from $300 — runnable API source plus full documentation; you pay after delivery, once you are satisfied it runs.
• Pay-per-call API — call our hosted endpoints, pay only for the requests you make, no upfront fee; good for teams that want usage-based pricing or a quick proof of concept.
• Either model can be scoped to a single endpoint (e.g. lesson progress only) or a full data set.

1. Education provider — LMS & certification sync

Context: a trading school or fintech bootcamp licenses Stock Market Trading Game content for cohorts and needs completion data in its own LMS. Data/API: GET /learners/{id}/progress for lesson states plus GET /learners/{id}/quizzes for scores. OpenData mapping: the learner-progress endpoint becomes a standard education-analytics feed (xAPI/SCORM-style records), so a third party can read structured course state without touching the app UI.

2. Broker / app — paper-to-live onboarding funnel

Context: a broker wants to identify simulator users ready to graduate to a funded demo or live account. Data/API: GET /portfolio (positions, simulated orders, realised P&L) and milestone events. OpenFinance mapping: the virtual portfolio is treated like an account-information resource — read-only, consent-scoped — so it can be ingested into a CRM or KYC pre-screen flow alongside the user's real account data.

3. EdTech / quant team — labelled candlestick training set

Context: a team building an adaptive chart-reading tutor wants labelled OHLC windows and human accuracy data. Data/API: GET /patterns/rounds returning pattern label, the OHLC fixture, the user's answer and response time. OpenData mapping: each round is a structured event record; aggregated, it is a clean dataset for difficulty calibration or model training.

4. Analytics warehouse — nightly export

Context: a product team wants all engagement and demo-trading data in BigQuery/Snowflake. Data/API: a paged GET /export?since= endpoint plus a webhook for deltas. OpenData mapping: the export endpoint is a batch interface, the webhook is the streaming half of the same contract — together they form a simple, well-documented data pipeline.

5. Charting / research widget — simulator market feed

Context: a publisher wants the same real-time and historical candles the app shows, normalised for an embeddable widget. Data/API: GET /market/ohlc?symbol=&interval= and GET /market/quote?symbol=. OpenFinance mapping: these become a thin market-data service with consistent fields across stocks, crypto and options, so downstream charts do not care which venue the data originated from.

A. Authenticate & bind a user

POST /api/v1/smtg/auth/token
Content-Type: application/json

{
  "grant_type": "password",
  "username": "learner@example.com",
  "password": "********",
  "device_id": "ofl-sandbox-01"
}

200 OK
{
  "access_token": "eyJhbGciOi...",
  "refresh_token": "v1.M2Rk...",
  "token_type": "Bearer",
  "expires_in": 3600,
  "user_id": "u_8f3a91"
}
# 401 -> {"error":"invalid_grant"}  | 429 -> back off, retry with jitter

B. Read learner progress (paged)

GET /api/v1/smtg/learners/u_8f3a91/progress?page=1&page_size=50
Authorization: Bearer <ACCESS_TOKEN>

200 OK
{
  "user_id": "u_8f3a91",
  "learning_path": "stocks",
  "summary": { "lessons_total": 64, "lessons_done": 41, "streak_days": 7 },
  "items": [
    { "lesson_id": "l_candles_101", "state": "completed", "score": 0.92,
      "updated_at": "2026-05-08T14:21:03Z" },
    { "lesson_id": "l_risk_entries", "state": "in_progress", "progress": 0.4,
      "updated_at": "2026-05-11T09:02:55Z" }
  ],
  "page": 1, "page_size": 50, "has_more": true
}

C. Portfolio change webhook

POST https://your-stack.example.com/hooks/smtg
X-OFL-Signature: sha256=4b1f...   # HMAC of the raw body
Content-Type: application/json

{
  "event": "portfolio.order.filled",
  "user_id": "u_8f3a91",
  "occurred_at": "2026-05-11T13:40:12Z",
  "order": { "symbol": "AAPL", "side": "buy", "qty": 10,
             "price": 191.22, "mode": "paper" },
  "portfolio": { "cash": 9_080.50, "equity": 10_412.30,
                 "unrealized_pl": 412.30 }
}
# respond 2xx within 5s or the event is retried (exponential backoff)

How we keep it lawful

We build only against documented or public endpoints with the client's authorization and the end user's consent — no credential sharing without a clear basis, no detection-evasion work. Because Stock Market Trading Game serves learners worldwide, integrations are scoped to GDPR (EU/EEA users), the CCPA/CPRA (California), and the consumer-protection expectations behind investor-education products — see the U.S. SEC's Investor.gov guidance on simulated trading and educational tools. We also respect Apple App Store and Google Play financial-services and data-handling policies, and, where minors may use the app, COPPA-aligned data minimisation.

Controls we ship by default

• Consent records and a documented lawful basis for each data category
• Data minimisation — only the fields you actually use are exposed
• Encryption in transit, secret rotation, and per-client API keys
• Access & webhook delivery logs for audit; configurable retention windows
• A clear "this is educational/simulated data, not financial advice" disclaimer in the contract

About us

We are an independent technical service studio focused on mobile-app protocol analysis and authorized API integration. The team has years of hands-on work in mobile apps and fintech — auth flows, payment rails, market-data feeds, learning-analytics pipelines — and ships end-to-end: protocol analysis, interface refactoring, OpenData integration, third-party interface integration, automated data scripts and the documentation to support them.

• Financial & banking apps · e-commerce & retail · travel & mobility · social & OTT media
• Android and iOS; ready-to-use API source code, interface docs and test plans
• Custom Python / Node.js / Go SDKs and test harnesses
• Full pipeline: protocol analysis → build → validation → compliance review
• Source-code delivery from $300 — runnable API source plus full documentation; pay after delivery upon satisfaction
• Pay-per-call API billing — call our hosted endpoints, pay only per request, no upfront cost

Contact

To request a quote or submit your target app and requirements (for this page: Stock Market Trading Game, package com.kovetstech.candlestickpatterns), open our contact page:

Contact page

Tell us which data sets you need (e.g. learner progress only, or progress + portfolio + OHLC) and whether you want source-code delivery or pay-per-call.

Engagement workflow

1. Scope confirmation — which screens/data (lessons, quizzes, Pattern Hunter, portfolio, market feed) and which delivery model.
2. Protocol analysis & API design — 2–5 business days depending on complexity.
3. Build & internal validation — 3–8 business days; includes auth, the data endpoints and tests.
4. Docs, samples and a request collection — 1–2 business days.
5. Typical first delivery: 5–15 business days; third-party approvals or real-time feeds can extend timelines.

FAQ

What data can you extract from Stock Market Trading Game?

Do you provide runnable source code or a hosted API?

How long does a first delivery take?

Is this an official Kovets Tech or Day Trading Academy API?