Skip to main content
qPACE banner

qPACE

The Quant SDK for Python · JavaScript · Rust

From research to production - all in one toolkit.

PyPI NPM Discord

qPACE: The all-in-one quantitative toolkit powered by Rust - usable from Python, Node.js, and the browser.

  • Cross‑language, cross‑platform - high‑performance Rust core with the fully typed API for Python, Node.js (NAPI), and Browser (WebAssembly).

  • Extremely fast backtesting engine - millions of bars per second. Export exact trades back to Pine for one‑click visual validation.

  • Technical Analysis - more than 30 indicators fully compliant with TradingView results, written in Pine and compiled using our compiler.

  • Data layer - resampling/aggregation, zipping/unzipping, reading/writing from CSV/Parquet, and more.

  • Cross-ecosystem - interoperable with Pandas, Polars, and more.

  • CLI + upcoming UI

indicator plot

Quick Links

Installation

Python

pip install qpace

JavaScript

npm install qpace

Quick Example

Python

import qpace as qp

ohlcv = qp.Ohlcv.read_csv("btc.csv")
ctx = qp.Ctx(ohlcv, qp.Sym.BTC_USD())
rsi = qp.ta.rsi(ctx.copy(), ohlcv.close, 14)

Node.js

import * as qp from "qpace/node";

const ohlcv = qp.Ohlcv.readCsv("btc.csv");
const ctx = new qp.Ctx(ohlcv, qp.Sym.BTC_USD());
const rsi = qp.ta.rsi(ctx.copy(), ohlcv.close, 14);

Pine from Python/JavaScript

We designed and developed in-house Pine Script compiler that takes your original Pine Script code and compiles it to efficient rust code that is later exposed to Python, Node.js and Web/WASM with type hints. Easy interface and practically no hustle from your side. Our compiler supports any technical analysis indicator and strategy, while having extreme performance.

  • bot automation
  • machine learning
  • backtesting
  • parameter optimization
  • and much more

Get started

Compiler gif

script.pine

//@version=5
library("MyLibrary")

export custom_ma(series float src, int length) =>
    ta.ema(ta.change(src) * volume, length)

Python:

import qpace as qp
import my_library as pine

ctx = qp.Ctx(ohlcv, qp.Sym.BTC_USD())
custom_ma = pine.script.custom_ma(ctx.copy(), ohlcv.close, 14)
print(custom_ma) # [1.0, 2.0, ...]

Node.js:

import * as qp from "qpace/node";
import * as pine from "my_library"; 

const ctx = new qp.Ctx(ohlcv, qp.Sym.BTC_USD());
const customMa = pine.script.custom_ma(ctx.copy(), ohlcv.close, 14);
console.log(customMa); // [1.0, 2.0, ...]

Suite

qPACE Suite: Free collection of the best indicators and strategies (separate package to qpace).

Python:

pip install qpace_suite

JavaScript:

npm install @qpace/suite

Jdehorty

AlgoAlpha

TA

Built-in TA functions.

import qpace as qp
rsi = qp.ta.rsi(ctx.copy(), src=ohlcv.close, length=14)
import * as qp from "qpace/node";
const rsi = qp.ta.rsi(ctx.copy(), ohlcv.close, 14);

Roadmap

Every TA indicator was compiled using Pine to Python/JavaScript compiler.

Momentum (17)

  • Awesome Oscillator AO
  • Absolute Price Oscillator APO
  • Balance of Power BOP
  • Commodity Channel Index CCI
  • Coppock Curve
  • KST Oscillator KST
  • Moving Average Convergence Divergence MACD
  • Momentum MOM
  • Price Oscillator PO
  • Rate of Change ROC
  • Relative Strength Index RSI
  • Relative Vigor Index RVGI
  • Stochastic RSI STOCHRSI
  • Trix TRIX
  • True Strength Index TSI
  • Ultimate Oscillator UO
  • Williams %R W%R

Overlap (11)

  • Double Exponential MA DEMA
  • Exponential MA EMA
  • Fibonacci Weighted MA FMWA
  • Hull MA HMA
  • Linear Weighted MA LWMA
  • Relative MA RMA
  • Simple MA SMA
  • Symmetrically Weighted MA SWMA
  • Triple Exponential MA TEMA
  • Volume-Weighted MA VWMA
  • Weighted MA WMA

Trend (8)

  • Advance/Decline Ratio ADR
  • Aroon AROON
  • Bull/Bear Power BBP
  • Chande-Kroll Stop CKS
  • Choppiness Index CHOP
  • Detrended Price Oscillator DPO
  • Supertrend ST
  • Vortex Indicator VI

Volatility (7)

  • Average True Range ATR
  • Bollinger Bands BB
  • Bollinger %B %B
  • Bollinger Width BBW
  • Donchian Channel DC
  • Relative Volatility Index RVI
  • True Range TR

Volume (6)

  • Accumulation/Distribution (Williams) ACCDIST
  • Chaikin Money Flow CMF
  • Elder’s Force Index EFI
  • Ease of Movement EOM
  • Money Flow Index MFI
  • Volume Oscillator VO

Statistics (1)

  • Standard Deviation STD

Utilities & Helpers (11)

  • Bars Since
  • Change
  • Cross
  • Cross-Over
  • Cross-Under
  • Cumulative Sum CUM
  • Highest
  • Highest Bars
  • Lowest
  • Lowest Bars
  • Rate of Change ROC

Community

Become a part of the qPACE community and connect with like-minded individuals who are passionate about trading, finance, and technology!

Join Discord

Metadata

Release files for qpace 0.2.9

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for qpace 0.2.9
File
qpace-0.2.9-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details
qpace-0.2.9-py3-none-manylinux2014_x86_64.whl Python 3 none Linux glibc 2.17+ x86-64 Details
qpace-0.2.9-py3-none-macosx_11_0_x86_64.whl Python 3 none macOS 11.0+ x86-64 Details
qpace-0.2.9-py3-none-macosx_11_0_arm64.whl Python 3 none macOS 11.0+ ARM64 Details

Total release size: 25.3 MB

Release files / qpace-0.2.9-py3-none-win_amd64.whl

Download URL qpace-0.2.9-py3-none-win_amd64.whl
Size 5.4 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
f0133fbaf1e96c76a4dfa298896383e5c6241b8ec9b117571d95828d6022ac1d
BLAKE2b-256 checksum
How to use checksums
010ad4068a83ec80c83f45f78d2dc78b26378959c375b3195b18c72ec82ffba3
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.10.18

Release files / qpace-0.2.9-py3-none-manylinux2014_x86_64.whl

Download URL qpace-0.2.9-py3-none-manylinux2014_x86_64.whl
Size 7.4 MB
Tags Linux glibc 2.17+ x86-64 Python 3
SHA-256 checksum
How to use checksums
2609731f59e0c09834ea501b4cd3b0b1916643eb88c5675443b73b22d3debc36
BLAKE2b-256 checksum
How to use checksums
584153bdab4137587030399a18248bd464cd0ab40249a8e94a603d89fb096cd7
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.10.18

Release files / qpace-0.2.9-py3-none-macosx_11_0_x86_64.whl

Download URL qpace-0.2.9-py3-none-macosx_11_0_x86_64.whl
Size 6.7 MB
Tags Python 3 macOS 11.0+ x86-64
SHA-256 checksum
How to use checksums
ec754d9f845822da93119b38049d1a8ad3490ee12a89de5d40fc14856bb9acb1
BLAKE2b-256 checksum
How to use checksums
38b1425fc8adc0d8f2b82a02244e71f7f34de722a7b2afcf055d2a39115a1e8c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.10.18

Release files / qpace-0.2.9-py3-none-macosx_11_0_arm64.whl

Download URL qpace-0.2.9-py3-none-macosx_11_0_arm64.whl
Size 5.9 MB
Tags Python 3 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
5f558a5698cda6ff8befd90bf26cd6cb4578f37a2614c167f4f089a8108d0fcd
BLAKE2b-256 checksum
How to use checksums
202beca34705628fae3d94855c30ccc6682c9ae30d550f4cad26286510b93411
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.10.18
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page