Wickra Screener — Python

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Scan thousands of symbols in parallel against data-driven conditions over 497 O(1) streaming indicators — for Python. pip install wickra-screener — prebuilt wheels for Linux, macOS and Windows, nothing to compile.

Python bindings for wickra-screener, the data-driven multi-symbol scan core. Build a Screener from a spec JSON, drive it with command JSONs, and read back scan reports — the same command protocol every language binding speaks.

Install

pip install wickra-screener

Pre-built wheels ship for Linux, macOS and Windows — there is nothing to compile and no C library to track down.

Building from this repository (contributors)

maturin develop --release
pytest -q

Quick start

import json
from wickra_screener import Screener

spec = json.dumps({
    "universe": ["AAA", "BBB"],
    "condition": {
        "type": "cmp",
        "left": {"kind": "price", "field": "close"},
        "op": "gt",
        "right": {"kind": "const", "value": 10.0},
    },
})

screener = Screener(spec)

def candle(close):
    return {"time": 1, "open": close, "high": close,
            "low": close, "close": close, "volume": 1.0}

response = screener.command(json.dumps({
    "cmd": "scan",
    "data": {"AAA": [candle(5.0)], "BBB": [candle(15.0)]},
}))

report = json.loads(response)
print([m["symbol"] for m in report["matches"]])  # ['BBB']

API

Benchmark

Every binding forwards to the same data-driven Rust core, so what this one adds is the call overhead of PyO3, not a different result. The core's throughput is measured by the repository's benchmark suite and the nightly bench.yml run; the numbers, the machine and how to reproduce them are in the repository BENCHMARKS.md.

Documentation

The full guide, the spec reference and the API documentation live in the main repository and the documentation site:

• Repository: https://github.com/wickra-lib/wickra-screener
• Docs (guides, spec reference, cookbook): https://screener.wickra.org
• Runnable example: examples/python/

Wickra Screener ships native bindings for Python, Node.js, WASM and Rust, plus a C ABI hub that any C-capable language (C, C++, C#, Go, Java, R) links against — all forwarding to the same data-driven, unsafe-forbidden Rust core.

Security

Found a security issue? Please don't open a public issue. Report it privately via the repository's Security tab ("Report a vulnerability") or email support@wickra.org with a subject line starting [wickra security]. Full policy: https://github.com/wickra-lib/wickra-screener/blob/main/SECURITY.md.

Disclaimer

Wickra Screener is analysis software: it computes indicator values and evaluates conditions over historical and live market data. It is provided "as is", without warranty of any kind, and is not financial advice — it places no orders. Trading carries risk of loss; review the code and use at your own discretion.

License

Licensed under either of Apache-2.0 or MIT at your option.