Protocol analysis + compliant integration for order, portfolio, limits, and statement/contract-note data—delivered as usable API source code.
If you build dashboards, robo-advisors, ERP reconciliation, compliance reporting, or custom trading tooling, you need structured access to Swastika data types—without breaking user consent or violating privacy policy.
We map statement retrieval into export endpoints your business can consume: monthly or custom date-range reporting, tax/ledger grouping, and contract-note packaging suitable for accounting workflows.
Your platform often needs a unified order view across exchanges and product types. We build a normalization layer that stores order events and turns them into consistent records for reconciliation.
We ingest portfolio/holding snapshots on a schedule (or on-demand) and compute derived metrics for wealth analytics: exposure, unrealized P&L trend, and holdings classification.
Trading systems fail when margin constraints are discovered late. We integrate limits to power pre-trade checks and operational alerts, helping your users act before orders are rejected.
We connect UPI deposit steps into an integration pipeline that updates your system once funds are reflected. This enables funding triggers for automated investment journeys and allocation logic.
Instead of forwarding raw screens, we build stable domain objects (orders, holdings, limits, statement bundles). That lets your teams add analytics and export formats without rewriting parsing logic every release.
Swastika’s documentation describes REST POST calls, JSON request/response envelopes, and Bearer-token authentication. We translate that protocol into your integration gateway with robust retry/idempotency behavior.
We align integration behavior with India-focused privacy and consent expectations and include a documentation pack for your security/privacy review. We also keep risk disclosures clear so your UI stays responsible in investment contexts.
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Send the target app name and your requirements. Typical asks are statement export, order-to-ledger reconciliation, and portfolio/limits sync into your own OpenFinance services.
We deliver real, reusable source code plus documentation, designed for authorized API integration and ongoing maintenance.
Below is a practical inventory of data types you can expose through an OpenData/OpenFinance layer. We derive the mapping from Swastika’s trading workflow: orders, portfolio holdings, limits, and statement/contract-note reporting.
| Data type | Source (screen/feature) | Granularity | Typical use |
|---|---|---|---|
| Orders (placed/executed/cancelled) | Order management flow / Order status history | Per order + per execution event | Reconciliation, client dashboards, audit evidence |
| Positions & demat holdings | Portfolio / holding views | Snapshot per segment + holding-level fields | Exposure analytics, wealth reports, risk monitoring |
| Limits (balance, utilized margin, collateral) | Account limits / risk controls UI | Current-state metrics (near-real-time) | Pre-trade checks, margin alerts, operational readiness |
| Statement data (P&L, taxes, ledger summary) | Statement export (profit & loss / tax / ledger) | Time-range summary + contract notes grouping | OpenFinance reporting, tax support, customer statements |
| Contract notes | Statement module contract-note documents | Document-level mapping to executed trades | Compliance-ready documentation, accounting ingestion |
| Market feed & historical data | Market feed / historical data modules | Tick/interval feeds + multi-year OHLCV sets | Analytics, charting, backtesting inputs |
Business context: your SaaS serves investors who need consistent monthly statements across brokers. Swastika becomes a data provider behind your own statement API.
Data/API: Statement API data including profit & loss, tax info, ledger summary, and contract notes; optional order mapping for traceability.
OpenData → OpenFinance: ingest statement objects into your storage, normalize fields, then expose a client-friendly `/statements` API for export and audit logs.
Business context: accounting teams want a machine-checkable link between orders and what appears in ledgers and contract notes.
Data/API: Order management (order events) + Statement API ledger/contract notes for the same time window.
OpenData → OpenFinance: build a reconciliation job that groups executions by symbol/product and produces a reconciliation report object your ERP can ingest.
Business context: advanced traders use stop-loss, cover order, and bracket-like patterns. They need risk checks before placing new orders.
Data/API: Limits API (balance, utilized margin, collateral) and portfolio exposure snapshots.
OpenData → OpenFinance: evaluate margin availability per user, then feed a “place order allowed/blocked” response into your own orchestration layer.
Business context: your platform triggers portfolio allocation only after deposits are reflected. Delays cause missed opportunities and failed auto-invest steps.
Data/API: UPI-based fund deposit flow plus subsequent statement/ledger confirmation to detect when funds are available.
OpenData → OpenFinance: convert deposit status into a consistent event stream (e.g. `funds.available`) and store an immutable audit record for client transparency.
Business context: many users receive tips via Telegram/WhatsApp, but those alerts can be delayed or hard to audit. Your platform can ingest Swastika’s verified trade ideas in an opt-in experience.
Data/API: Sarthi trade idea notifications, entry/exit signals, and “Closed Calls” performance tracking (as provided in-app).
OpenData → OpenFinance: represent each call as a structured record that your users can review, execute, and reconcile against later order/statement outcomes.
Swastika’s Trading API documentation shows POST-based JSON calls and a consistent response envelope. A typical integration gateway includes a “token issuance” step and validates `AccessKey` / `AccessSecret` before calling resource endpoints.
# Step A: token issuance (example gateway call)
POST /api/gateway/swastika/auth/token
Headers:
Content-Type: application/json
Body:
{
"AccessKey": "<YOUR_ACCESS_KEY>",
"AccessSecret": "<YOUR_ACCESS_SECRET>"
}
# WhenValidate (shape) - validation errors can appear as:
{
"StatusCode": 400,
"Message": "Fail",
"IsError": true,
"ResponseException": {
"ExceptionMessage": "Request responded with validation error(s). Please correct the specified validation errors and try again."
},
"Result": null
}
# Step B: call resource endpoints with Bearer token
POST /api/gateway/swastika/limits
Headers:
Authorization: Bearer <ACCESS_TOKEN>
Content-Type: application/json
Body:
{
"account_reference": "user_swastika_001"
}
# Expected envelope (success):
{
"StatusCode": 200,
"IsError": false,
"Result": { "Data": { "limits": { "...": "..." } } }
}
For OpenFinance export, we standardize date range checks, enforce pagination strategy, and preserve immutable audit identifiers even when retries occur.
POST /api/gateway/swastika/statement
Headers:
Authorization: Bearer <ACCESS_TOKEN>
Body:
{
"account_id": "user@swastika",
"statement_type": "PROFIT_LOSS_AND_LEDGER",
"from_date": "2026-02-01",
"to_date": "2026-02-29",
"include": ["TAXES", "LEDGER_SUMMARY", "CONTRACT_NOTES"]
}
Pseudo-code (retry-safe):
try:
resp = http.post(url, headers, json=payload)
if resp.StatusCode != 200 or resp.IsError:
raise IntegrationError(resp.ResponseException)
store_audit(request_id, payload_hash, resp.Result)
except Timeout:
# idempotency by request_id
return cached_result_if_exists(request_id)
catch ValidationError as e:
return { "error": "VALIDATION", "details": e.fields }
Trading integrations often need “something changed” events. Even if Swastika access is pull-based, your system can emulate webhooks by scheduling checks and emitting events to your queue.
# Scheduler job (every 5 minutes)
limits = GET limits snapshot from Swastika Trading API
portfolio = GET positions snapshot
if limits.utilized_margin > threshold:
emit_event("risk.margin.warning", {
"user": user_id,
"timestamp": now_iso(),
"utilized_margin": limits.utilized_margin,
"collateral": limits.collateral
})
# Consumer side
on_event("risk.margin.warning"):
notify_client_app()
optionally block new order creation
Swastika’s published privacy policy describes how personal data may be used and stored. In integrations, we implement minimal data handling, consent-driven access patterns, and clear retention boundaries aligned with the Digital Personal Data Protection framework.
Trading environments require accurate disclosures. We keep risk disclaimers and market-risk notes in your integration documentation, and we separate “advice content” from “execution logs” so you can present information responsibly.
For example, Swastika’s Trading API documentation includes derivatives risk disclosures and standard market-risk statements. We mirror these in the deliverables so your product’s compliance pack stays consistent.
A simple pipeline we implement for OpenData/OpenFinance delivery is: Client App → Authorized Swastika Integration Gateway → Storage (encrypted + audit logs) → Analytics/Reporting API output.
Swastika Stocks, Investments is positioned as an India-focused trading and investing platform that supports multiple asset classes and caters to working professionals, beginners, and traders who prefer research-backed guidance. Public references indicate a user base in the hundreds of thousands and a strong focus on accessible flows and real-time support. From an integration perspective, the primary geography is India and the platform is delivered through Android/iOS mobile clients, with API integrations built for fintechs, banks, and algo ecosystems.
In the broader integration landscape, projects often also evaluate adjacent ecosystems like Zerodha, Groww, and Upstox for consistent investor data models. Our goal is to help your service unify Swastika data in the same OpenFinance pattern, so switching or multi-broker strategies remain manageable.
We are a technical service studio specializing in app interface integration and authorized API integration. Our team supports one-stop delivery across protocol analysis, interface refactoring, Open Data integration, and automated scripting for interface documentation.
Share your target app name and requirements. We will respond with an integration proposal, timeline estimate, and a clear deliverables list.
If you include sample fields you need (e.g. contract-note export, statement date range, or limits alerts), the first draft becomes faster.
What do you need from me?
How do you ensure compliance & privacy?
Can you deliver source code?
Swastika is India’s trusted trading and investing platform built for high-net-worth individuals, professionals, and aspiring wealth creators. Public references mention millions of investors who rely on Swastika’s mobile trading app for a fast, reliable, and easy trading experience across stocks, commodities, F&O, mutual funds, and more.
Highlights for users:
Recent feature reference: Sarthi Trade Ideas is described in Swastika’s materials as an in-app instant trade alert experience with real-time entry/exit notifications and one-tap trading. This kind of verified alert stream is particularly suitable for OpenData-style integration into a compliance-friendly execution workflow when users opt in.
Login help video: How to Login to Swastika App
Official details (as published by Swastika):
Support & official channels:
Disclaimer: Terms & conditions apply. For more details, review Swastika’s privacy policy and other terms on their website. Integration should always follow authorized, consent-based access patterns and include appropriate risk disclosures.