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STOCK MARKET TRADING GAME API
Real-Time Multi-Asset Feed & Progress Data Integration
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INTRODUCTION
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Stock Market Trading Game, marketed as Day Trading Academy on Google Play
(package com.kovetstech.candlestickpatterns), is a candlestick-pattern
practice simulator with more than four million installs. Behind its
Pattern Hunter game, lessons and quizzes sits a real-time market-data
feed covering stocks, crypto and forex, plus a set of on-device learning
records and a RevenueCat-powered subscription layer.
For developers, fintech educators, and product teams, the real value
isn't the lesson screen — it's the underlying live-quote feed and the
learner progress data that the app generates. Through authorized
protocol analysis, OpenBanking Studio reaches this feed and these
records, normalizes them into a single schema, and delivers a working
integration that other products can build on.
This article explains what API-level functionality is available,
where it can be applied, and what an integration project delivers.
SUPPORTED API FEATURES
--------------------
Real-time multi-asset price feed — per-symbol OHLC candles
across stocks, crypto and forex in one unified request shape
Multi-timeframe candlestick data — supports historical
backfill and live tick polling for charting engines
Candlestick pattern & lesson catalog access — structured
lesson modules, quiz items and pattern definitions
On-device progress export — lesson completion, quiz scores,
streaks and dashboard counters read from app storage
Simulated trade ledger access — virtual positions, orders,
realized and open P&L per practice session
RevenueCat entitlement sync — premium subscription state,
product identifiers and renewal status mapping
Push segmentation data — device tags and segment membership
via OneSignal for lifecycle messaging alignment
USE CASES & APPLICATIONS
--------------------
[1] Trading Education Platforms
Power chart-based lessons with the same live stock,
crypto and forex candle feed used by the simulator
Integrate candlestick pattern recognition content
into a custom curriculum
Reuse quiz and pattern-definition data for assessments
[2] Practice Trading & Simulator Apps
Mirror the same multi-asset instrument universe in a
competing or complementary simulator
Drive a virtual trading engine with normalized OHLC
candle data across asset classes
Backfill historical candles for backtesting features
[3] Learning Analytics & Progress Tracking
Export per-learner lesson completion, quiz scores and
streaks from on-device storage into a central dashboard
Build portfolio-style grading tools using the simulated
trade ledger as a practice track record
Combine local progress fields with server-side data into
a single learner profile
[4] Subscription & Monetization Management
Reconcile RevenueCat entitlement signals with an
existing billing system
Map premium-only features and gated screens against
product and renewal identifiers
Align subscription status across multiple apps sharing
the same RevenueCat configuration
[5] Fintech Product Research & Benchmarking
Compare the candlestick simulator's data model against
similar apps such as Wall Street Survivor, Investopedia
Stock Simulator, Webull paper trading, Moomoo paper
trading, Invstr, HowTheMarketWorks, MarketWatch Virtual
Stock Exchange and thinkorswim paperMoney
Evaluate market-data feed structures for new product
development
Use normalized schemas as a reference architecture for
multi-asset learning apps
BENEFITS & ADVANTAGES
--------------------
One unified schema covers stocks, crypto and forex —
no need to branch logic per asset class
Real-time and historical candle data in a consistent
OHLC format, ready for charting libraries
Learner progress and quiz history exportable even when
no account system exists
Simulated trade ledger gives a portable practice track
record for grading or analytics
RevenueCat entitlement mapping simplifies subscription
reconciliation across products
Built-in handling for market-closed gaps, partial
candles and token-refresh races
Delivered as runnable Python or Node.js source with
tests, OpenAPI spec and documentation
SUBSCRIPTION PLANS
--------------------
Two engagement models are available depending on how you want to
consume the integration:
Source-code delivery — starting at $300, includes the
runnable integration, OpenAPI specification, automated
tests and full documentation, paid on delivery
Hosted API — pay-per-call access with no upfront cost,
ideal for teams that prefer a managed endpoint
Typical project turnaround runs one to two weeks regardless of
the chosen model.
CONCLUSION
--------------------
The Stock Market Trading Game / Day Trading Academy integration
unlocks a real-time, multi-asset (stock, crypto, forex) market-data
feed alongside on-device learning progress and a simulated trade
ledger — all normalized into a single, developer-friendly schema.
Whether you're building a trading education platform, a practice
simulator, a learning analytics dashboard, or reconciling
subscription entitlements through RevenueCat, this integration
provides the data foundation to move quickly without reverse
engineering the app yourself.
Ready to integrate this data into your product? Get started
with a project scoped to your needs.
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Visit: https://openbankingstudio.com/stock-market-trading-game.html
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last updateTime: 2026-06-11 03:16:15b
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