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index / Kwants vs Public API

>_ Kwants vs Public API

Kwants and Public API, side-by-side. Compare the facts below, then pick the one that fits your workflow.

Kwants
Public API
one-liner
Provides a self-hosted Python library for downloading Polygon flat-file data, building point-in-time ticker universes with adjustments, and running backtests against 1m/5m/daily bars using a declarative DSL for entry/exit conditions.
Provides programmatic trading access to stocks, ETFs, options, crypto, and bonds with real-time execution, rebates on options contracts, and no commissions.
best for
developers and quants who want a local, file-based pipeline for us equity backtesting against polygon data.
developers, algorithmic traders, and quantitative analysts automating trading strategies or building custom tools that require low-latency access and high customization.
key feature
self-hosted pipeline with DSL-based scan/backtest engine over Polygon flat files
earns rebates up to $0.10 per stock & ETF options contract traded via API
who uses it
Retail
Retail
asset class
Equities
Multi-asset
function
Data & APIs, Trading Infrastructure
Trading Infrastructure, Data & APIs
strategies
Quant / Systematic, Technical Analysis
Options Trading, Quant / Systematic
workflow
Screening, Research, Valuation
Execution
instruments
Stocks
Stocks, ETFs, Options, Bonds
regions
North America
North America
pricing
FREE
FREE
plans
—
API Access $0
free tier
yes
yes
model
free
free
open source
yes
—
via
web
api, GPT
audience
—
retail
upvotes
0
0

Kwants vs Public API: key differences

  • Kwants covers Equities; Public API covers Multi-asset.
  • Kwants is open source; Public API is not.
  • Only Public API is available via api.
  • Kwants also covers screening, research, valuation in the workflow.
  • Public API also covers execution in the workflow.
  • Kwants is tagged for technical analysis.
  • Public API is tagged for options trading.

about Kwants

self-hosted python library that downloads polygon flat-file data (1m/5m/daily bars), builds point-in-time ticker universes with split/dividend adjustments, and runs backtests using a declarative dsl for entry/exit conditions. stores all data as parquet (no separate database server) and offers incremental daily updates via scheduled scripts.

about Public API

trading api offering programmatic access to stocks, etfs, options (including multi-leg), bonds, and crypto with real-time execution, no commissions, and rebates up to $0.10 per stock & etf options contract. provides read access (balances, positions, order history) and write access (place trades, set custom order parameters, access historical market data). available to all public members instantly via account settings—no approval required.

Kwants
Provides a self-hosted Python library for downloading Polygon flat-file data, building point-in-time ticker universes with adjustments, and running backtests against 1m/5m/daily bars using a declarative DSL for entry/exit conditions.
[↗] visit kwants.dev
Public API
Provides programmatic trading access to stocks, ETFs, options, crypto, and bonds with real-time execution, rebates on options contracts, and no commissions.
[↗] visit public.com

See full data, pricing and alternatives on the Kwants profile page, or the Public API profile page.

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