Profit AI trading signals bot — OpenData, OpenFinance, and protocol-ready integration

AI chart screenshot analysis API integration

Ingest chart_upload_id, MIME type, resolution, and inferred asset class so downstream quant notebooks can replay the same feature extraction pipeline the mobile client triggered.

Concrete use: compliance reviewers compare server-stored heatmaps of support zones against trader-written rationales before approving semi-automated research distribution.

Chart-bound signal ledger

Persist buy/sell suggestions with references to originating uploads, confidence bands, and timeframe tags—fields that behave like structured trade ideas rather than opaque push copy.

Concrete use: a swing desk exports weekly ledgers into a CSV that risk systems join with brokerage fills to measure idea-to-execution drift.

TradingView canvas configuration sync

Serialize indicator stacks, drawings, and layout IDs so remote analysts reopen identical chart states, mirroring how broker integrations expose /mapping and permission-aware symbol lists.

Concrete use: coaches verify that students viewed mandated studies because layout hashes match assigned coursework templates.

Multi-venue watchlist federation

Forex pairs, global equities, metals, and crypto tickers each carry venue metadata; exporting them as JSON arrays enables OpenFinance-style consolidation next to bank-held custody positions.

Concrete use: family offices merge mobile-curated watchlists with custodian CSVs inside Snowflake without manual ticker cleanup.

News tuple normalization

Headline text, issuer, timestamp, and implied volatility cues become rows a macro desk can join to RSS or exchange notices.

Concrete use: alert bots trigger only when both mobile-curated news and internal bank research reference the same ISIN within a 30-minute window.

Entitlement and subscription telemetry

Weekly versus lifetime SKUs, free daily analysis counters, and renewal windows mirror App Store receipt objects.

Concrete use: finance operations reconcile recognized revenue with active inference quotas to avoid overspending on GPU batches.

Authorized session bootstrap (pseudocode)

POST /integrations/profit-ai/v1/session
Content-Type: application/json
X-Device-Id: <UUID>
X-App-Build: 103

{
  "auth_code": "<USER_SUPPLIED_OAUTH_CODE>",
  "locale": "en-US"
}

200 OK
{
  "access_token": "pat_...",
  "expires_in": 3600,
  "entitlements": {
    "daily_free_remaining": 1,
    "sku": "profit.unlimited.week"
  }
}

401 → { "error": "invalid_grant", "hint": "refresh login" }
429 → { "error": "rate_limited", "retry_after": 58 }

Chart analysis pull with error semantics

GET /integrations/profit-ai/v1/analysis/cha_9fd3
Authorization: Bearer pat_...

200 OK
{
  "chart_upload_id": "cha_9fd3",
  "markets": ["XAUUSD","BTCUSD"],
  "structures": [
    {"type": "ascending_triangle","confidence": 0.74}
  ],
  "signals": [
    {"side": "sell","timeframe": "4h","rationale": "..."}
  ]
}

404 → { "error": "not_found" }
410 → { "error": "expired_upload" }

Webhook for headline-driven risk

POST https://customer.example/risk/profit-ai
Profit-Signature: sha256=...

{
  "event": "headline.matched_watchlist",
  "user_ref": "usr_8821",
  "symbols": ["NVDA"],
  "headline_id": "nws_22118",
  "published_at": "2026-04-20T04:15:12Z"
}

Your handler returns 200 within 2s or the producer schedules exponential backoff.

Compliance & privacy

Retail chart intelligence straddles marketing regulation and data-protection law. For EU-based or EU-targeted users, GDPR governs lawful basis, data minimization, and erasure when someone withdraws consent for model training.

California residents may invoke CPRA rights around sensitive inferences—even screenshot uploads can reveal strategies, so your DPIA should classify them accordingly.

Japan’s APPI matters because the shipped languages include Japanese; cross-border transfers need documented safeguards.

Where investment promotions appear, teams also reference MiFID II conduct rules on fair, clear, and non-misleading communications, aligning mobile copy with any API-delivered text blocks.

Data flow / architecture

A pragmatic pipeline starts on the mobile shell where traders capture charts, moves through TLS-terminated ingestion that stores encrypted blobs, then fans out to inference workers that emit structured JSON.

Downstream, an integration tier applies schema validation, attaches entitlement tags, and writes into your warehouse or streaming bus. Finally, governed APIs or webhooks expose curated slices to CRM, risk, or BI tools with row-level security keyed to customer IDs.

Signaly

Hosts broad-market push signals; teams integrating Profit AI trading signals bot alongside Signaly frequently harmonize notification schemas so compliance filters treat both feeds consistently.

QuantCrawler

Emphasizes screenshot uploads with journaling; combined exports often include image hashes plus trade post-mortems for audit.

Tradewink

Bridges broker accounts; when users also run chart-only apps, integration blueprints must separate non-custodial insights from order-placement APIs.

uTrading

Focuses on exchange automation; risk teams still want chart-tag metadata to explain why bots arm/disarm.

Kabra

Stacks swarm-style analytics; data engineers may merge its multi-agent summaries with single-chart JSON for richer research cards.

OpenChart

Markets scriptable outputs; pairing script artifacts with Profit AI JSON aids quant teams that maintain dual pipelines.

Revenue AI

Targets rapid photo analysis; integration partners often deduplicate uploads via perceptual hashes across both apps.

TradeGPT: Chart AI Analysis

Stores dense indicator metadata; watchlist sync jobs can reuse ticker normalization dictionaries.

Trade AI: Chart AI Analysis

Blends educational copy with signals; localization teams align glossary tokens when exporting multilingual APIs.

Chart Sutra AI

Web-first trials generate browser cookies; governance playbooks remind architects to separate web session state from native keychains.

What we ship

• OpenAPI drafts covering session bootstrap, analysis retrieval, watchlist export, and webhook verification.
• Protocol narrative describing TLS pinning expectations, cookie jars, or token lifetimes observed during authorized captures.
• Runnable Python or Node.js modules with pytest/Jest suites that mock latency spikes like those seen after 1.03-style performance patches.
• Runbooks for GDPR/CPRA subject requests when chart binaries must be purged.

How we engage

Send the target app name, desired data classes, and compliance constraints. We respond with a gap analysis that names which rows in the data inventory are realistic given your authorization path, then sequence engineering milestones around your security review gates.

Source code delivery from $300 supplies repositories, docs, and test evidence; pay-per-call hosting suits teams validating demand before standing up private clusters.

Testing expectations

We provide Postman collections, synthetic chart fixtures, and negative tests for throttled free tiers so SRE teams can load-test without touching production accounts.

About us

Our studio builds authorized interface programs across mobile banking, commerce, and capital-markets tooling. Engineers pair protocol analysis with documentation practices borrowed from OpenFinance programs so security reviewers receive traceable evidence.

• Android and iOS coverage, including mixed WebView telemetry.
• Experience aligning chart uploads with enterprise data lakes.
• Offerings: source delivery from $300 or metered pay-per-call endpoints.

Contact

Share your target app name, regulatory jurisdiction, and integration goals on our contact page.

Contact page

Engagement workflow

1. Intake questionnaire covering markets, languages, and data sinks.
2. Threat modeling for chart images and any PII adjacent to billing.
3. Implementation sprint with weekly demo environments.
4. Hardening pass: retries, backoff, circuit breakers on webhook sinks.
5. Documentation freeze plus handover workshop.

FAQ

Do you publish unofficial APIs?

Can signals connect to brokers?

How do you evidence compliance?