The operating system for quantitative research

Systematic trading,built for everyone.

Everything you need to develop systematic trading strategies. From Data → Research → Development → Backtest → Paper Trading → Live Execution. In one integrated workflow.

Your research stays connected at every stage.

HiveQ keeps your code, test settings, results, and LiveSim activity in one continuous workflow.

One integrated workflowCurrent through LiveSim · live execution planned

Data
Find the market data your strategy needs.
Coverage · schema · access
Research and development
Turn a market idea into reviewable code.
Research · build · revise
Backtests
Run managed tests and inspect every result.
Inputs · trades · risk
LiveSim
Paper trade with virtual capital and full visibility.
Orders · positions · exposure
Live execution
Route through approved broker connections.
Planned · controlled · broker-neutral

The workflow

Build the strategy once.Carry it from research to live execution.

PANEL 01DATA

DATA EXPLORER

Start with data your strategy can use.

Check coverage, schemas, samples, symbols, and access before you write strategy code.

Data PreviewSchemaAccess

Feed live

market.equities.barsAAPL1 minuteAuthorized workspace scope

TimestampSymbolOpenHighLowCloseVolume

2026-10-18 09:35AAPL211.42211.67211.31211.5818,420

2026-10-18 09:34AAPL211.33211.48211.24211.4214,806

2026-10-18 09:33AAPL211.09211.39211.02211.3321,147

2026-10-18 09:32AAPL210.96211.14210.81211.0916,993

2026-10-18 09:31AAPL210.78211.02210.69210.9625,308

2026-10-18 09:30AAPL210.91211.08210.72210.7819,671

2026-10-18 09:29AAPL210.65210.96210.57210.9122,514

2026-10-18 09:28AAPL210.47210.72210.39210.6517,892

8 of 18,406 rows7 columns · sorted by timestamp ↓

01 / 05

PANEL 02RESEARCH + BUILD

HIVEQ AI

Develop the idea as reviewable code.

Write the strategy directly or use HiveQ AI. Review each file change before you start a backtest.

buy_and_hold.pystrategy.yaml

workspace / alpha-lab

strategies / buy_and_hold.pyPython 3.12

Ln 16, Col 57UTF-8 · LF · Python

Run configuration

Dataset

HIVEQ_US_EQ · bars_1m

Window

2025-01-02 → 2026-06-27

Capital

$1,000,000

Commission

0.5 bps

Preflight checks4 passed

Contract

Data scope

Risk limits

Engine pin

Create backtest

02 / 05

PANEL 03BACKTEST

TRACKED RUN

Run the test on managed infrastructure.

Inspect the code, inputs, fills, positions, drawdowns, returns, tear sheets, and execution logs in one result view.

OverviewReturnsTradesPositions

run_01J9XK…

Cumulative return

+18.64%

Sharpe ratio

1.42

Max drawdown

−8.20%

Win rate

53.70%

Portfolio valueOut of sample

Run details

StatusCompleted

Strategymean_reversion

Period541 days

Total trades1,204

Artifact8af2…c19

SymbolSideEntryExitP&L

AAPLLONG2026-05-182026-05-21+$1,284.60

MSFTSHORT2026-05-172026-05-20+$742.10

NVDALONG2026-05-142026-05-15+$318.40

OOS WINDOW 2026-03-02 → 2026-06-27

03 / 05

PANEL 04LIVESIM

VIRTUAL CAPITAL

Continue into paper trading with LiveSim.

Move an eligible backtest into LiveSim. Monitor orders, fills, positions, exposure, and profit and loss as markets move.

Strategy MonitorOrdersPositionsTime & Sales

All strategiesRunningMy workspace

StrategyStatusP&LGross ExpPositionsSymbols

Mean Reversion USRUNNING+$284.50$92.4K3AAPL, MSFT, NVDA

Momentum 20DPAUSED+$96.20$48.1K1SPY, QQQ

Pairs TechRUNNING+$42.80$31.7K2AMD, NVDA

Paper-trading P&L+$337.90

Execution status

Open orders

Positions

Net exposure

38.2%

Last event

09:31:11

ENGINE hiveq-sim v0.9 · PAPER EXECUTION

04 / 05

PANEL 05LIVE EXECUTION

PLANNED

Route live orders through approved connections.

Broker-neutral live execution is planned. An authorized person must approve promotion, and all access, risk, and endpoint checks must pass.

Execution HubConnectionsApprovalsActivity

Planned

Promotion gateHuman approval

Access and risk review

Authorized reviewRequired

Account permissionRequired

Risk controlsRequired

Broker endpointNot connected

Execution endpointsNot connected

Broker APIFuture

Firm gatewayFuture

Internal routerFuture

LIVE EXECUTION IS NOT AVAILABLEBROKER CONNECTION PLANNED

05 / 05

Results you can review

See what shapedevery result.

Review the strategy, assumptions, fills, positions, returns, drawdowns, and logs before you decide what to test next.

Repeat the runInspect every fillCompare before LiveSim

Backtest / run inspector

run_01J9XK4R8N

Complete

Total return

+27.4%

Max drawdown

−8.7%

Sharpe ratio

1.63

Strategymean_rev.pyAttached

Test window02 Mar – 27 JunDeclared

Trade record1,204 fillsAvailable

PromotionBacktest to LiveSimExplicit

Inputs and outputs saved

Build with familiar tools. Run on managed infrastructure. Move toward controlled live execution.

HiveQ Alpha Network

Planned

Take your strategy beyond your workspace.

Planned Alpha Network competitions will score tracked backtests on hidden tests and publish comparable results.

See planned competitions

Questions

Before you start.

01Who is HiveQ for?

Anyone who wants to develop systematic trading strategies, from independent traders to quantitative research teams.

02Can I bring my own code and models?

Yes. Build with your own strategy code, models, and compatible coding agents.

03Do I need to be an expert Python developer?

No. Write the strategy directly or use Codex, Claude Code, Gemini, or another compatible coding agent.

04What stays attached to a backtest?

Strategy code, the data window, trades, positions, returns, metrics, and promotion history.

05Does paper trading use real capital?

No. Paper trading runs orders and positions with virtual capital.

06Can HiveQ execute live trades?

Not in the public preview. LiveSim uses virtual capital. Broker-neutral live execution is planned with access, risk, endpoint, and human approval checks.

07Is HiveQ cloud-native?

Yes. HiveQ is 100% cloud-native. Additional data-encryption controls are planned.

You bring the idea. HiveQ builds the system.

Start with data or your strategy code. HiveQ carries your workflow through managed backtests and LiveSim, with broker-neutral live execution planned.

See the planned arena