Live market data · AI intelligence · Backtesting

Financial Data APIAffordable. Reliable. Live.

Build apps, trading bots, and research tools with live quotes, historical prices, financials, market news, earnings, and technical indicators across stocks, crypto, forex, and commodities.

Predictable JSON Research-ready data Built for quants
API request200 OK
$curl -s \\
https://api.quantbotly.com/v1/quote/NVDA \\
-H "X-API-Key: ••••••••"
"symbol": "NVDA",
"price": 142.63,
"changePct": 1.84
GET /v1/quote/NVDA84 ms
Live Quotes
AI Analytics
Backtesting
Latest News
Custom Watchlists
Screeners
Free tierStart building without a card
Multi-asset coverageStocks, crypto, forex, and commodities
Predictable JSONConsistent responses across endpoints
REST APISimple HTTP integration for any stack
Unfair advantages for quants

Less data plumbing.
More signal.

Raw data is table stakes. The advantage comes from moving faster from market observation to research, analysis, and an executable hypothesis.

Advantage 01 · Unified market context

One request away from the full market picture.

Bring quotes, candles, fundamentals, indicators, news, and sentiment into one consistent API surface instead of stitching together fragmented feeds.

Consistent JSON responsesCommon authentication modelResearch-ready market context
Browse market data endpoints →
QuotesLive intraday prices
FundamentalsStatements + ratios
NewsStories + sentiment
TechnicalsIndicators + signals
Market ContextOne API surface
Advantage 02 · Native AI layer

Interpretation travels with the data.

Use AI news summaries, news sentiment, and AI technical analysis without building a separate prompt pipeline around every market-data workflow.

Condensed news contextStructured sentiment signalsTechnical-analysis narratives
Explore AI endpoints →
News summary generatedSentiment: bullishRSI divergence detectedTrend context returned
Advantage 03 · Research execution

Test the idea before you build the system.

Run strategy backtests and indicator calculations through endpoints, then move promising ideas into your product, dashboard, or automated research workflow.

Cloud backtest endpointsPerformance metricsFast hypothesis iteration
See backtesting endpoints →
Total return+38.6%Max drawdown-8.4%
API coverage

Eight data domains.
One authentication layer.

Quotes, candles, fundamentals, technicals, news, AI, backtests, and macro indicators — all through the same API key with predictable JSON responses.

Predictable endpoint patterns Common authentication model Data designed to work together
Explore every endpoint
QuantBotly API Financial data core
Market indicatorsRisk, regime, and macro context
Historical candlesPrice history for charts and research
TechnicalsIndicators, screening, and signals
BacktestingEvaluate strategies through an endpoint
AI analysisAI technical interpretation and insights
News + sentimentMarket stories with directional context
FundamentalsStatements, metrics, and company data
Live quotesIntraday prices and market snapshots
AI at the data layer

From headline overload to usable market context.

Let your product surface meaning, not just more rows. AI endpoints condense market news and technical conditions into structured responses your application can use.

01
AI news summariesCompress long-form coverage into focused market takeaways.
02
News sentimentAdd directional context to feeds, alerts, and research screens.
03
AI technical analysisReturn an interpretable view of trend, momentum, and technical conditions.
AI MARKET INTELLIGENCELIVE
Semiconductors · 2mPositive

Chip demand outlook strengthens as data-center spending expands

Multiple industry updates point to sustained infrastructure demand and improving forward expectations.

Macro · 11mConstructive

Market breadth improves while volatility remains contained

Participation broadens beyond the largest names as risk appetite holds across major sectors.

Technical · NowBullish

Momentum remains positive above the intermediate trend

Price structure is constructive, with pullbacks continuing to hold above key support levels.

AI summary

Current conditions show positive momentum supported by improving breadth and constructive industry demand. Near-term risk remains concentrated around macro catalysts and elevated positioning.

BACKTEST / MOMENTUM_V4COMPLETED
Net return38.6%Strategy result
Sharpe ratio1.71Risk adjusted
Max drawdown8.4%Peak to trough
Backtesting launchpad

Turn a signal into a tested hypothesis.

Use strategy endpoints to evaluate an idea against historical market data before committing engineering time to a production implementation.

01
Define the strategyPass symbols, dates, rules, and parameters through a clean request.
02
Run the backtestExecute the strategy against historical data in the cloud.
03
Review the outcomeInspect returns, drawdowns, risk metrics, and the equity curve.
Developer experience

A clean API surface. No orbital mechanics degree required.

Make a request, receive predictable JSON, and connect the response to your application, dashboard, notebook, or research agent.

import requests

url = "https://api.quantbotly.com/v1/ai/technical-analysis"
params = {
    "ticker": "NVDA",
    "interval": "15min",
    "apikey": "YOUR_API_KEY"
}

response = requests.get(url, params=params, timeout=20)
response.raise_for_status()
analysis = response.json()

print(analysis["summary"])
Simple pricing

Start free. Scale when you ship.

Basic tier is free forever. Upgrade only when your throughput and feature needs grow.

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Your next market product starts here

Build the signal.
Launch what comes next.

Bring market data, financial research, AI intelligence, and quantitative tooling into one focused development workflow.