ALGOFINANCE / STRATEGY LAB

Strategy Lab

Build trading strategies with a visual drag-and-drop builder or a full code IDE. Backtest against historical data, manage versions, and validate logic before deploying to AF Cloud or routing through SmartBridge.

Open Strategy Lab View Technology Services

STRATEGY.LAB.HUBlocal-first

buildersblocks + codelanguagesPython / JS / Rusttestingsandbox + backtestdeployAF Cloud ready

EMA Crossover Strategyvisual blocks • validatedtemplate

Momentum Strategy (Python)code IDE • backtesteddraft

Breakout Replay Testbacktest • 42 signalsrun

artifact: ema-cross-risk-v3validation: warning

Blockly Source Graphstrict target

on candle closeif EMA fast crosses EMA slowemit BUY signalset stop-loss and take-profit

Script IDEpython

def on_candle(ctx):
    signal = ctx.indicators.ema_cross()
    if signal.confirmed:
        return emit_intent(target=ctx.target)
    return hold()

Visual Builder

Drag-and-drop strategy design

Build strategies by connecting visual blocks — candle triggers, indicator conditions, order actions, and risk rules.

Code IDE

Full scripting environment

Write strategies in Python, JavaScript, or Rust with syntax highlighting, auto-complete, and real-time validation.

Validation

Pre-run diagnostics

Catch errors before execution — missing parameters, invalid conditions, and risk limit violations are flagged automatically.

Versions

Snapshot every iteration

Every save creates a full snapshot — source code, settings, validation results, and backtest data for easy rollback.

Backtesting

Test against real market data

Run strategies against historical prices with detailed logs, equity curves, signal counts, and performance metrics.

Deployment

Preview before you deploy

See exactly where your strategy will run and how it will connect to brokers before committing to deployment.

SANDBOX + BACKTEST

Test strategies against real market data before going live.

Run strategies in a local sandbox or backtest against historical price data. Every run preserves logs, performance metrics, equity curves, and signal history for review.

01Build strategyCreate with visual blocks or write code in Python, JS, or Rust.

02Validate logicCheck for errors, missing parameters, and risk limit violations.

03Run backtestTest against historical price data in a sandboxed environment.

04Review resultsAnalyze equity curves, signal counts, win rates, and execution logs.

BACKTEST.RUN.SUMMARYcomplete

Replay98.4%Signals42Warnings2WASMready

> backtest session started: EMA Crossover v3> processing: 8 blocks / 2 instruments> replay window: 6 months / warmup complete> result: 42 signals / 98.4% replay accuracy

SMART HUB PREVIEWprojection only

Deploy targetAF Cloud • eu-west-1region and profile selected

Strategy sourceEMA Crossover v3validated and backtested

Order routingSmartBridge → FXCMbroker connection verified

Live executionpreview onlyno live orders until you deploy

PRODUCT BOUNDARY

Strategy Lab builds and tests — it does not execute live orders.

Strategy Lab is where you design and validate. Live order execution, broker connections, and credential management belong to SmartBridge and Terminal. Your strategies stay safe until you’re ready to deploy.

No live order executionNo credential storage in Strategy LabNo broker connections — that’s SmartBridgeNo order graph staging — that’s TerminalStrategies stay in sandbox until you deploy

SocioTrade.org

Strategy Lab is available on the SocioTrade trading portal.

Available July 1, 2026

Visit SocioTrade